diff --git a/.gitignore b/.gitignore index b146ade77b..bca16181ae 100644 --- a/.gitignore +++ b/.gitignore @@ -56,6 +56,13 @@ dask-worker-space/ publications.jrc.ec.europa.eu/ d1gam3xoknrgr2.cloudfront.net/ +# Ignore specific notebooks +PyPSA_Eurelectric_plot_helper.ipynb +pypsa_statistics.ipynb + +# Ignore Windows metadata files +*.Zone.Identifier + *.org *.nc @@ -76,6 +83,12 @@ merger-todos.md *.html +# analysis output +analysis_output/ + +# Windows WSL artifacts +*Zone.Identifier + # private dev folder dev/* diff --git a/DSR_Impact_Analysis.ipynb b/DSR_Impact_Analysis.ipynb new file mode 100644 index 0000000000..48aa286708 --- /dev/null +++ b/DSR_Impact_Analysis.ipynb @@ -0,0 +1,1115 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "intro", + "metadata": {}, + "source": [ + "# Industry DSR Impact Analysis\n", + "\n", + "**Apples-to-apples comparison** of two model runs with identical temporal industrial demand profiles:\n", + "\n", + "- **Reference**: Temporal industrial demand, NO DSR (`EU_test_run_temporal_no_dsr`)\n", + "- **DSR v3**: Temporal industrial demand + Industry DSR (`EU_test_run_dsr_v3_optional`)\n", + "\n", + "Both runs use: 33 EU countries, 38 clusters, 2030 horizon, full year 2019 (2h resolution).\n", + "\n", + "**Key metrics**: System cost, electricity prices, generation capacity, renewable curtailment, DSR utilization." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "load", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading Reference (temporal, no DSR)...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pypsa.network.io:Imported network 'Unnamed Network' has buses, carriers, generators, global_constraints, lines, links, loads, stores, sub_networks\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading DSR v3 (temporal + DSR)...\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pypsa.network.io:Imported network 'Unnamed Network' has buses, carriers, generators, global_constraints, lines, links, loads, stores, sub_networks\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done.\n" + ] + } + ], + "source": [ + "import pypsa\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.ticker as mticker\n", + "\n", + "plt.rcParams.update({\n", + " 'figure.figsize': (12, 5),\n", + " 'font.size': 11,\n", + " 'axes.titlesize': 13,\n", + " 'axes.labelsize': 11,\n", + "})\n", + "\n", + "# Load networks\n", + "print('Loading Reference (temporal, no DSR)...')\n", + "n_ref = pypsa.Network('results/EU_test_run_temporal_no_dsr/networks/base_s_38___2030.nc')\n", + "print('Loading DSR v3 (temporal + DSR)...')\n", + "n_dsr = pypsa.Network('results/EU_test_run_dsr_v3_optional/networks/base_s_38___2030.nc')\n", + "print('Done.')" + ] + }, + { + "cell_type": "markdown", + "id": "f18abe83", + "metadata": {}, + "source": [ + "## 0. Flat vs Temporal Industry Demand Profile\n", + "\n", + "Before comparing the two DSR scenarios, let's visualize what \"temporal industrial demand\" means.\n", + "The original baseline uses a **flat** (constant) industry electricity demand, while the temporal runs\n", + "use hourly FfE load profiles that capture real production patterns (shift work, weekday/weekend, seasonal)." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "95383336", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Loading flat baseline from: /home/aceccato/work/pypsa-eurelectric/results/EU_test_run/networks/base_s_38___2030.nc\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "INFO:pypsa.network.io:Imported network 'Unnamed Network' has buses, carriers, generators, global_constraints, lines, links, loads, stores, sub_networks\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done.\n", + "\n", + "--- DE0 0 industry electricity ---\n", + "Flat demand: 28570 MW (constant, every hour)\n", + "Temporal demand: min=16739, max=39504, mean=28648 MW\n", + "Total flat: 124.79 TWh/year\n", + "Total temporal: 125.13 TWh/year\n" + ] + }, + { + "data": { + "image/png": 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0P/74Y2Z7hw4dKtRvx44dM9snT55coX4BoLpqJJJC/4033jinfeTIkfH++++7MABUuvr162fORQn1EQCU1/fffx9nnHHGIm3NmjWL22+/3UkFoKCuvfbazPZLL7006tSp42wDUCXUSABQDGtZ1TQAUAzzUaGpaQCoOIG1AEC1By1l2WWXXSrUb77X53s/AKgM7du3z2yfMWOGEw5AuSQbcRx11FGLtNWtWzf69+8fDRo0cFYBKIiff/457rvvvpz2Vq1axcEHH+wsA1AlWrZsmdleWQuDk3kOACrTvHnz4pVXXslpb9SoUWy//fYV6luNBADVTX0EAIV27LHHxrRp0xZpu+iii6JTp05ONgAFDUh/9tlnc9rXXHPN6N27tzMNQLXXSFQWNRIANU9Fv6tR0wBAMcxHtW1cAEsLgbUAQLWZMGFCfPnllzntK6+8cnTu3LlCfW+33XaZ7UOGDKlQvwBQFsmXdFkaNmzoRAJQLmeffXaMGjVqkbbjCumhGQAATMVJREFUjjsuNt98c2cUgIJ5+umncxYAJ/bcc89o2rSpMw1AlVhxxRUz28eNG1ehfvO9fqWVVqpQvwCwJO+99166IdXiks/2mjRpUqETqEYCgOqmPgKAQvrXv/4VTzzxxCJtXbt2jZNPPtmJBqCgHnzwwVi4cGFO+x/+8IdK20QRAMpSIzF+/PgKnTA1EgC1R0W/q1HTAEAxzEe1bVwASwuBtQBAtUk+uMyyySabVLjvVVddNdq2bZvTPmLEiJg1a1aF+weA0sgKZv+tXbgA4Le8/vrrceutt+YUJ15++eVOHAAFD6zNsttuuznTAFSZrbfeOrP91VdfrVC/r7zySmZ7t27dKtQvAFRnjcTvfve7zACNfO8JAIWmPgKAQvnhhx/ipJNOWqStXr160b9///RPACgk9REA1PQaiSFDhuS0Jd8p5Xs/AGrvdzVqGgAohvmoto0LYGkhsBYAqDYfffRRZvt6661XkP7XWWednLYFCxbEZ599VpD+AeC3zJ8/P1577bXMY2uvvbaTB0CZ/Pzzz3H44YfHwoULF2lPAmxbtGjhbAJQUC+//HJmkfq2227rTANQZfbZZ5+oWze3rOWf//xn3l3ulyT5juiNN97Iae/SpUtsvPHG5eoTAIqhRqJVq1axwgor5LSPHz8+DXsCgMo0adKk+PTTTzOPqY8AoKySsNpkbvm1k08+Obp27epkAlBQc+fOjaFDh+a0t27dOjbaaCNnG4Aqtf/++2e233XXXeXu87nnnovvvvsup71Xr16xzDLLlLtfAGrmWlY1DQAUw3xUGdQ0AFScwFoAoNp88803me2rr756QfrP10++9wWAQho0aFBMnjw5p7158+aK5wEos4svvjiGDx++SNvvf//72H333Z1NAAoquY/5+uuvc9o7d+4cbdu2XaTtp59+SkMD//jHP6YBS0lAUoMGDaJdu3ZpMck222wTZ511VrzwwgsxZ84cVwqAMknmnr333junPZmnrrrqqjKfzSTk9vjjj083N1zcmWeemYazA0BlUiMBQE113333Zd5rrbXWWrHccstVy5gAWDo9/fTTcf/99y/S1qlTp7RmAgAK7eOPP47Zs2fntCch6YtvqphsCnXnnXem310lGyG2bNkyrY9o3759rLvuurHDDjvEhRdemAbgJsEcAFBWPXr0iM033zynfciQITFw4MAy9zdt2rR0848sSY0EADVLIdayqmkAoBjmo8qgpgGg4gTWAgDVZtSoUZntK6ywQkH6z9fPyJEjC9I/APyWfKEZffv2jfr16zt5AJTahx9+GFdfffUibUkg4C233OIsAlApC7KyrL/++v/775kzZ8Z5550XK664Yhx88MHpwuFPP/00pk+fni68+vHHH9Og9aRYPrk36tWrV3To0CFdTJw8BwBK66abboplllkmp/38889Pj5XWjBkzYv/994/BgwfnHNtxxx3j0EMPdVEAqHRqJACoiX7++ee48cYbM49lbUICAPkk3yEdc8wxOe233357NG3a1IkDoOA++eSTJdZHJPUPJ5xwQqy00kpx9NFHx8MPPxxffPFF+t1TUh8xceLE+Oyzz+LFF1+Miy66KLp165Y+9+abb07vlwCgLAYMGBCNGjXKaT/88MPj3//+d6n7mTBhQuy6667x+eef5xw78sgjo2fPni4MQA1TiLWsahoAKIb5qNDUNAAUhsBaAKDaJIUZWZLwikLo2LFjmd4XAAq509abb76ZeSwpWgSA0lqwYEFaZJgUt//alVdemfeeBwAqIllYlWXVVVdN/3z33XfTxVmXXnppTJs2rdT9Js+94IILonPnzvHoo4+6SACUSvKd0aBBg6JFixaLtJeUlMTJJ58c22+/ffz3v//NuWf6dcjF3/72t9hggw3ikUceyTm+8cYbxwMPPOBqAFAl1EgAUBNde+21MXr06Jz2hg0bpmFOAFBaZ5xxRnz33XeLtB1wwAHRp08fJxGAaqmPeO6552KttdaKW2+9NebMmVPqfsePHx8nnXRSrL766jF06NCCjReAmm+99dZLaxgWD3KaO3du7LfffukGUcncktRMZJk0aVJcffXVaX3fa6+9lnM8ub+65ZZbKm38ACzda1nVNABQDPNRoalpACiM6okdBwD4fzsNZ2ndunVBzk+rVq3K9L4AUAi/FBlm2WWXXWLzzTd3ogEotWuuuSYNBvy1rbfe2gJfACrN999/n9m+0korxUsvvRS77rprzJ49u9z9T548OX7/+9/HZZddFmeffXYFRgpAbbHFFlvEK6+8koZTjBgxYpFjydyUPJo1axYbbbRRLLfcctG0adM0qDYJTPrkk09i4cKFmf3us88+ceeddxbseykAWNLGVFmbfjRo0CCduwpBjQQAVS2557rkkksyjx155JGx4oorVvmYAFg6DRkyJP2s7tfatm0bN954Y7WNCYDaXR+RBGz069cv/VyvvMaMGRM9e/ZM57ikLwAojb59+8azzz4bBx10UIwbN26RYw8//HD6SL4TSjbobdeuXTRq1CimTp0aX331VRrGni/M9vjjj4/rrrsufT4ANUeh1rKqaQCgGOajQlPTAFA4AmsBgGqTtRgr0bJly4L0n6+f5As4AKgMyRdzf/jDHzLD0Rs3bhw33HCDEw9AqSVFgxdddNEibQ0bNkwL2OvUqeNMAlBphSL52s8777zMsNokYCkJCezYsWM0adIkJkyYEJ9//nn6Z5akKP6cc85J57Ozzjqr4H8HAGqeZKHVe++9F3/961/TBVQTJ05c5PjMmTNj6NChpepr0003Tee03XbbrZJGCwC5kjD1rAXChaqP+K2+1EgAUBmS+7D99tsvfv7555xjyy67bFx88cVOPAClknz3dMQRR+TcMyUb/CYbVAFAVddHfPjhh3HppZdmhtUmNRFJfUSHDh2ifv36aR8ff/xx3s/g5s6dG4ccckgaDrj//vsX/O8AQM20/fbbp8FK1157bdx6663p90yLr8sdPHhwqfraYYcd4oILLohu3bpV0mgBqAlrWdU0AFAM81EhqWkAKKy6Be4PAKDUsorVfwlgKoR8uz3me18AqKgkcOnll1/OPHb55ZfHGmus4SQDUCrJQqxkQdacOXMWaT/zzDNjnXXWcRYBqDQ//fRTZvv111+fFmz82vLLLx8DBgyISZMmxbBhw+Lxxx+PBx54IL0vGjduXLzxxhvpbsj5nHvuuXnvoQBgcU2bNo0zzjgjvvvuu7jkkkvSIsaySOat//znP+mcJawWgJpWH5FQIwFAVTr88MPjs88+yzx2xx13RNu2bV0QAEolCU768ssvF2nbdttt47DDDnMGAaiW+ojLLrssJ6x2zTXXjH//+9/xww8/xOuvvx6PPPJI+r+HDBmS1kw8//zzseWWW+Z9r6QWMN89FABkST5fS9YhjRkzJk466aSoV69emU5Uly5d0tq8ZI4SVgtQMxVyLauaBgCKYT4qJDUNAIUlsBYAqDbz5s3LbE92GS6EfP3ke18AqIh77703rr766sxjffr0iZNPPtkJBqDUbr/99nj11VdzCgf/8pe/OIsAVKrFw9J/MX/+/EX+98477xwjRoxIizhatWqV8/w6derEFltsEYMGDUrvl7I+q0sWeB144IF53xMAfm3atGlp4WKnTp3ivPPOK/P88f3338fee+8da6+9dtx1112+LwKgRtVH/FZfaiQAKLSLLrooHnzwwcxjRx99dOy5555OOgCl8s4776SbJi6+GUcSfg4AxVIfkYTNfvLJJ7HPPvukGyxmfS63ww47xNChQ9PvsrIkGwQffPDBBRo5ALXB+PHj48wzz4xVVlklbrrpppww9SVJavu222672GyzzeLhhx+OhQsXVtpYAVj617KqaQCgGOajQlHTAFB4AmsBgKKThFlUZj8lJSUF6R8AfvHcc8/FkUcemXlCkgCN++67r2DzGwA133fffRdnnXXWIm3JPJIsyEoWZgFAZSpNYfuOO+4Yjz32WDRv3rxUfSaLrgYOHJg3PPDuu+8u8zgBqF2eeOKJWGONNdJNPMaNG1ehvoYPH54Grnft2jU+/vjjgo0RAMqjkN8fqZEAoCokn+VdeOGFmcc22WSTNDwDAEobgpF8Trf4d1PnnnturLnmmk4iAEVRH3HooYdG//79o0GDBqX6fO7ss8+OK6+8MvP4u+++G88880y5xgpA7TJgwIBYffXV0+CnKVOmVKivt99+O93cd9ttt43Ro0cXbIwA1I61rGoaACiG+ags1DQAVA6BtQBAtclXsLH4bsTllW83r4YNGxakfwBIvPHGG7HXXntlzjvt2rVLCwvbtm3rZAFQakcffXTMmDFjkbbDDjssttlmG2cRgEq3pEVWyf3NPffcU6rFWL+23377Rb9+/TKPXXPNNaVaCAZA7XTZZZfFHnvsEZMmTco51qRJkzTU4l//+ld8+eWX6UKtuXPnxsSJE+PDDz+M22+/PXbeeefMgsdPPvkkNttss7RgEgCW9vqIhBoJACrbo48+mnfB2WqrrRZPPvmkzRcBKLUkzO+jjz5apG3dddeNM88801kEoEosqe4huc+55ZZbytzvGWecEdttt13msSuuuKLM/QFQe5SUlKR15MlncDNnzsw53rp16/jTn/6Ufk43cuTImDZtWlojMX78+DSY9oYbbohu3bpl9v3qq6+mG/t+8MEHVfA3AWBpW8uqpgGAYpiPKkpNA0DlEVgLAFSbfMGxP//8c0H6z9dPo0aNCtI/ACShF0ngRVYhSMuWLdMPVNdaay0nCoBS++c//5nOH7/Wvn37NMgPAKrCkj47O/HEE6Njx47l6vvSSy+N+vXr57QnxfMK4QHIkiwCPvfcczOPHXzwwTF69OgYMGBA7L///rH66quni7OS4vlll102NthggzjmmGPiqaeeSoMvNtlkk5w+5syZk4bhJoWTALA010f8Vl9qJAAohOeffz6998raeGqFFVZIj3fo0MHJBqBUPvvss3Sjql9LNp268847y7xpIgCU15I+NzvvvPOiWbNmZe43mdMuv/zyzGOvvfZa/PDDD2XuE4Da4bTTTkvvi7LmluTYt99+GzfffHP07ds3OnXqlK5bSu6hklrzpCbi5JNPToNpk0cSvL64yZMnxw477BBff/11Ff2NAFha1rKqaQCgGOajilDTAFC5BNYCANWmVatWme0zZswoSP/5+sn3vgBQFp9//nn06tUrpk6dmnOsadOmMWjQoMwQDADIZ+LEiXHKKafktN94443Rpk0bJw6AKtGiRYu8x+rWrRtHHXVUufteccUVY7fddss8Nnjw4HL3C0DN9PHHH6cLrrIkm3rce++9aTBtaay33noxdOjQdNFWVmjtQQcdlFk4CQCFkhTjJ4uJK6s+4rf6UiMBQEUlARfJ/dTcuXNzjiX3ZS+88EJ07tzZiQagVBYuXBiHH354zqYbxx57bGy11VbOIgBFUR+R1Ovtt99+5e57iy22iI033jinvaSkJF555ZVy9wtAzfXcc8/F9ddfn1mz969//Sutk/ituevXunXrFu+99146Hy3uxx9/jH79+qX3ZgAsPSp7LauaBgCKYT4qLzUNAJVPYC0AUG2WWWaZzPasm9PyyNdPvvcFgNJKdhNOdhWeNGlSzrFGjRrFY489Ft27d3dCASiTE044IS0C/LVkt8n999/fmQSgyrRr1y7vsXXXXTc6duxYof633377zPYhQ4ZUqF8Aap7TTz89MwzpiCOOyBtk+1saNmwY9913X6y//vqZn/fdfPPN5R4rACxJ/fr10wVei0vmutmzZxfkBKqRAKAyDBs2LHbZZZeYNWtWZoDT888/H2uttZaTD0CpJZ/Dvfnmm4u0Lb/88nHFFVc4iwAUTX1EEvTXuHHjCvWvPgKA0koCzU8++eTMYxdffHG5QtST76Uef/zxzHq/ZMPfBx980AUCWEpUxVpWNQ0AFMN8VB5qGgCqhsBaAKDatG/fPrN9/PjxBek/Xz/LLbdcQfoHoHYaPXp09OzZM77//vucYw0aNIiHHnoo3R0MAMoiKQhM5pBfa9asWdx2221OJABV6rc+O9t8880r3H++Pr799tsK9w1AzTF8+PB47rnnctqbN28el19+ebn7bdq0aVx11VWZx/7617/GggULyt03ACyJGgkAljbvv/9+9O7dO2bMmJFzrEWLFvHss8/GhhtuWC1jA2DpNGXKlDj33HMzP5vL2uQDACqT+ggAikVSH/H555/ntK+88srpZr8VmevOO++8zGM33XRTufsFoGauZVXTAEAxzEdloaYBoOrUr8L3AgBYRKdOnTLPyJgxYwpypsaOHZvZ3rlzZ1cCgHLPLckHqllBSvXq1Yv77rsvdtttN2cXgDI77rjjctouueSSWGWVVZxNAIriM7vECiusUOH+8/Xx448/VrhvAGqOQYMGRUlJSU773nvvHcsuu2yF+t5pp53Se62kePLXkiLKpHBxk002qVD/APBb91tffPFFZo1EIeoY1EgAUEiffPJJ7LjjjjF16tTMzUCefvrp2GyzzZx0AMpk2rRpMXPmzJzNfJNNfpNHIR1yyCGZ7UcccUR069atoO8FwNJJfQQAxeLJJ5/MbD/ssMOiYcOGFer70EMPjVNPPTXmzJmzSPtbb70VkyZNqnANBgA1Zy2rmgYAimE+Ki01DQBVS2AtAFBtVl111cz2r776qiD95+sn3/sCwG8ZP358bL/99vHNN9/kHKtbt27cfffdsc8++ziJAJTL4rtLJnPLe++9l3cB1ZL88MMPme2nnXZaNG/ePKe9b9++6QMAVltttbwnoXXr1hU+QW3atCnT3AVA7TR06NDM9l69ehWk/x122CH+/ve/Z76vwFoAqqNGonv37hXuX40EAIUyfPjw9L4p6zO7xo0bxxNPPCHoD4CCSQJs77333oKf0Xx9brvttuYxAFLqIwCoDTUSyed5W2+9dbz44os5x15//fXYY489KvweANSMtaxqGgAohvmoNNQ0AFQ9gbUAQLVZf/31M9s//fTTgvT/2WefZd70rrvuugXpH4DaI9k1OFmMNWLEiJxjderUiTvuuCMOOuigahkbADXTwoULY+DAgQXv9+GHH867E7LAWgASa6yxRjRt2jRmzZqVef9TWSqzbwCWPmPHji3zwuGyyNfP4puJAMDSUiMxffr0GDNmTE57hw4dYtlll61w/wDUHkkAerLgbMKECTnHGjZsGI888kh6HAAAYGm34YYbVmoNQ0lJSaX1DUDNUhU1ElmBtWokAIpTda1lVdMAQDHMR0uipgGgetStpvcFAIjf/e53mWfhnXfeqfDZGTlyZPz444857V26dEkDNwCgtCZPnpx+oJpvsfAtt9wSRxxxhBMKAADUCPXq1YuNNtoo89iUKVMq3H++Ptq1a1fhvgGoOaZOnZrZ3rZt24L0v8wyy1TaXAcA1VEj8e6772YGYGy88cYuCABlqrnr2bNnZlBF/fr148EHH4yddtrJGQUAAGqEjh07xvLLL19p3xnl+75LfQQApZ0z1EgA1D7VuZZVTQMAxTAf/RY1DQDVR2AtAFBt2rdvH2ussUZO++jRo9NHRbz88suZ7T169KhQvwDULtOmTYsdd9wxPvroo8zj1157bRx//PFVPi4AAIDKlO8ztLFjx1a473x9WJAFwK81a9Ys84TMnDmzICcqXz8tWrRwIQCoNEl4bNYc99Zbb8WcOXMq1LcaCQAq6rvvvkvDapM/sza5uu+++6Jv375ONAAAUKOojwCgGKiRAKAY1rKqaQCgGOajfNQ0AFQvgbUAQLXq1atXZvtTTz1VoX6ffvrpzPbkxhgASmPGjBnRp0+fePfddzOPX3bZZfHnP//ZyQQAAGqc3r17Z7YnIUoVla+PVVddtcJ9A1BzLLvsspnt48ePL0j/48aNK9P7AkAhNGzYMLbZZpuc9iSs9qWXXqpQ32okAKjoPVISVjtq1KicY3Xr1o177rkn9t13XycZgArr1KlTlJSUFPSRT77nH3LIIa4kAP+jPgKAYqBGAoBiWMuqpgGAYpiPsqhpAKh+AmsBgGq15557ZrYPHDiw3H1OnTo1M/A22WkyXzEJAPzarFmzYpdddok333wz88RccMEFcc455zhpABRMoRdkrbLKKpnvM3LkyMznX3jhha4mAP/TrVu3aN++fc4Z+fTTT/MG/JXWCy+8kNmeBGIAwC+y5qHEq6++WpCTNGTIkDK9LwAUc43EiBEjMhcJJEFQG2+8cbn7BaB2mDhxYmy//fbx1Vdf5RyrU6dO9O/fPw488MBqGRsAAEBl23333dNQpsW99tpr6UZTFaE+AoBiqZFI5rWyvC8AtXctq5oGgNqrmOajX1PTAFAcBNYCANUqCaJYYYUVctrfeOONGDZsWLn6vPPOOzMLQ5IPSZPQWgD4LckckhQf5ivsOOuss4T6AQAANVr9+vUzQygWLlyYfvZWXmPGjIlBgwZlHktCMQDgF1tttVXmyXjkkUfS+agiRo0aFe+8807msa233tpFAKBS7bPPPtG4ceOc9v/85z8xduzYcvV50003ZbYn93VJ0CAA5DN58uTYYYcd4vPPP888ftttt8Vhhx3mBAIAADVW27ZtY7fddstpnzJlSjz44IPl7jcJ9vjggw9y2hs0aBDdu3cvd78A1K4aieT7o4pK1kZlbVKfzEmbbrpphfsHoGatZVXTAFA7Fdt89As1DQDFQ2AtAFCt6tatG8cdd1zmsTPOOKPM/f34449x1VVXZR7705/+VOb+AKhd5s6dG7///e/jxRdfzDx+yimnxBVXXFHl4wIAAKhqJ5xwQhpcu7ibb745s4C9NM4999yYP39+Tvvvfve7WHPNNcvVJwA1U+/evTPbhw8fHvfdd1+F+j7vvPNiwYIFOe2dOnUyHwFQ6Vq1ahUHHXRQTvu8efPiL3/5S5n7++KLL2LAgAGZi4yPPvroco8TgJpv2rRpseOOO8bHH3+cNxD9mGOOqfJxAQAAVLWkPjzLJZdcEjNnzixzfyUlJXHOOedkHkuCP5o3b17mPgGonTUSzz33XN7AqNLOSUnNXr4Nfc1JANWrGNeyqmkAqH2KcT5KqGkAKC4CawGAapcE1rZu3Tqn/ZVXXokbbrihTF+gHX744ekuKYvbfvvtY7PNNqvwWAGouZLQpP333z+efvrpvGFN119/fZWPCwAAoDokoX39+vXLaU8+ezvkkEPSMKWyePDBB+Pee+/NPHb++eeXe5wA1EyrrrpqdO3aNe8GhZ9++mm5+k0C/QYOHJh5bJ999ilXnwBQVqeffnrmBiHJPdOjjz5a6n5+/vnnOPDAAzPvzw4++OBYccUVXRwAMv3000+x0047xbvvvpt5/JprrokTTzzR2QMAAGqFJLAvWXO0uK+//jr9Xqqsrr766nj55Zdz2uvUqZNurAgAi+vWrVt07Ngx88T88Y9/LPcG88m8M2TIkMxjaiQAqlcxr2VV0wBQexT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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Key insight: The temporal profile has 80% peak-to-trough variation.\n", + "This intra-day variation is what creates the arbitrage opportunity for DSR.\n" + ] + } + ], + "source": [ + "# Load the original flat-demand baseline network\n", + "import os\n", + "flat_path = os.path.expanduser('~/work/pypsa-eurelectric/results/EU_test_run/networks/base_s_38___2030.nc')\n", + "print(f'Loading flat baseline from: {flat_path}')\n", + "n_flat = pypsa.Network(flat_path)\n", + "print('Done.')\n", + "\n", + "# Pick Germany (DE0 0) as example - largest industrial node\n", + "node = 'DE0 0'\n", + "load_name = f'{node} industry electricity'\n", + "\n", + "# Flat baseline: constant p_set (no time series)\n", + "flat_value = n_flat.loads.loc[load_name, 'p_set'] # MW, constant\n", + "flat_ts = pd.Series(flat_value, index=n_ref.snapshots)\n", + "\n", + "# Temporal profile from the reference run (temporal, no DSR)\n", + "temporal_ts = n_ref.loads_t.p_set[load_name]\n", + "\n", + "print(f'\\n--- {load_name} ---')\n", + "print(f'Flat demand: {flat_value:.0f} MW (constant, every hour)')\n", + "print(f'Temporal demand: min={temporal_ts.min():.0f}, max={temporal_ts.max():.0f}, mean={temporal_ts.mean():.0f} MW')\n", + "print(f'Total flat: {flat_value * len(n_flat.snapshots) / 1e6:.2f} TWh/year')\n", + "print(f'Total temporal: {temporal_ts.sum() / 1e6:.2f} TWh/year')\n", + "\n", + "# ---- PLOT 1: Full year comparison ----\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 11))\n", + "\n", + "# (a) Full year overlay\n", + "ax = axes[0]\n", + "ax.plot(temporal_ts.index, temporal_ts.values / 1e3, color='#27ae60', linewidth=0.4, alpha=0.8, label='Temporal (FfE profiles)')\n", + "ax.axhline(flat_value / 1e3, color='#e74c3c', linewidth=2, linestyle='--', label=f'Flat ({flat_value/1e3:.1f} GW)')\n", + "ax.set_ylabel('Demand (GW)')\n", + "ax.set_title(f'Industry Electricity Demand: {node} (Germany) - Full Year')\n", + "ax.legend(fontsize=10)\n", + "ax.set_xlim(temporal_ts.index[0], temporal_ts.index[-1])\n", + "\n", + "# (b) One week zoom (January)\n", + "ax = axes[1]\n", + "week_start = pd.Timestamp('2019-01-14')\n", + "week_end = pd.Timestamp('2019-01-21')\n", + "temp_week = temporal_ts[week_start:week_end]\n", + "ax.plot(temp_week.index, temp_week.values / 1e3, color='#27ae60', linewidth=1.5, marker='.', markersize=3, label='Temporal')\n", + "ax.axhline(flat_value / 1e3, color='#e74c3c', linewidth=2, linestyle='--', label='Flat')\n", + "ax.set_ylabel('Demand (GW)')\n", + "ax.set_title(f'Winter Week (Jan 14-21) - Daily cycles visible')\n", + "ax.legend(fontsize=10)\n", + "\n", + "# (c) Average hourly profile\n", + "ax = axes[2]\n", + "hourly_avg = temporal_ts.groupby(temporal_ts.index.hour).mean() / 1e3\n", + "ax.bar(hourly_avg.index, hourly_avg.values, color='#27ae60', alpha=0.7, edgecolor='black', linewidth=0.5, label='Temporal avg by hour')\n", + "ax.axhline(flat_value / 1e3, color='#e74c3c', linewidth=2, linestyle='--', label='Flat')\n", + "ax.set_xlabel('Hour of Day')\n", + "ax.set_ylabel('Average Demand (GW)')\n", + "ax.set_title('Average Hourly Profile (full year) - Temporal vs Flat')\n", + "ax.set_xticks(range(0, 24, 2))\n", + "ax.legend(fontsize=10)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f'\\nKey insight: The temporal profile has {(temporal_ts.max()-temporal_ts.min())/flat_value*100:.0f}% peak-to-trough variation.')\n", + "print('This intra-day variation is what creates the arbitrage opportunity for DSR.')" + ] + }, + { + "cell_type": "markdown", + "id": "cost-header", + "metadata": {}, + "source": [ + "## 1. System Cost (Objective Value)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cost", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reference (no DSR): 617.18 billion EUR\n", + "DSR v3: 613.33 billion EUR\n", + "DSR impact: -3.85 billion EUR (-0.62%)\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "obj_ref = n_ref.objective\n", + "obj_dsr = n_dsr.objective\n", + "diff = obj_dsr - obj_ref\n", + "diff_pct = diff / obj_ref * 100\n", + "\n", + "print(f'Reference (no DSR): {obj_ref/1e9:.2f} billion EUR')\n", + "print(f'DSR v3: {obj_dsr/1e9:.2f} billion EUR')\n", + "print(f'DSR impact: {diff/1e9:+.2f} billion EUR ({diff_pct:+.2f}%)')\n", + "\n", + "fig, ax = plt.subplots(figsize=(6, 4))\n", + "bars = ax.bar(['Reference\\n(no DSR)', 'With DSR v3'], [obj_ref/1e9, obj_dsr/1e9],\n", + " color=['#4a90d9', '#27ae60'], edgecolor='black', linewidth=0.5)\n", + "ax.set_ylabel('Total System Cost (billion EUR/year)')\n", + "ax.set_title('System Cost Comparison')\n", + "for bar, val in zip(bars, [obj_ref/1e9, obj_dsr/1e9]):\n", + " ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.5,\n", + " f'{val:.1f}', ha='center', va='bottom', fontweight='bold')\n", + "ax.set_ylim(bottom=min(obj_ref, obj_dsr)/1e9 * 0.995)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "price-header", + "metadata": {}, + "source": [ + "## 2. Electricity Prices" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "prices", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average LV price (Reference): 112.12 EUR/MWh\n", + "Average LV price (DSR v3): 111.52 EUR/MWh\n", + "DSR impact: -0.53%\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Get low voltage bus prices\n", + "lv_ref = [b for b in n_ref.buses.index if 'low voltage' in b]\n", + "lv_dsr = [b for b in n_dsr.buses.index if 'low voltage' in b]\n", + "\n", + "prices_ref = n_ref.buses_t.marginal_price[lv_ref]\n", + "prices_dsr = n_dsr.buses_t.marginal_price[lv_dsr]\n", + "\n", + "avg_ref = prices_ref.mean().mean()\n", + "avg_dsr = prices_dsr.mean().mean()\n", + "print(f'Average LV price (Reference): {avg_ref:.2f} EUR/MWh')\n", + "print(f'Average LV price (DSR v3): {avg_dsr:.2f} EUR/MWh')\n", + "print(f'DSR impact: {(avg_dsr-avg_ref)/avg_ref*100:+.2f}%')\n", + "\n", + "# System-wide hourly average price\n", + "hourly_ref = prices_ref.mean(axis=1)\n", + "hourly_dsr = prices_dsr.mean(axis=1)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Price duration curve\n", + "ax = axes[0]\n", + "sorted_ref = hourly_ref.sort_values(ascending=False).reset_index(drop=True)\n", + "sorted_dsr = hourly_dsr.sort_values(ascending=False).reset_index(drop=True)\n", + "ax.plot(sorted_ref.values, label='Reference (no DSR)', color='#4a90d9', linewidth=1.5)\n", + "ax.plot(sorted_dsr.values, label='With DSR v3', color='#27ae60', linewidth=1.5, linestyle='--')\n", + "ax.set_xlabel('Hours (sorted)')\n", + "ax.set_ylabel('EUR/MWh')\n", + "ax.set_title('Price Duration Curve')\n", + "ax.legend()\n", + "ax.set_ylim(bottom=0)\n", + "\n", + "# Price histogram\n", + "ax = axes[1]\n", + "bins = np.linspace(0, max(hourly_ref.quantile(0.99), hourly_dsr.quantile(0.99)), 50)\n", + "ax.hist(hourly_ref, bins=bins, alpha=0.6, label='Reference (no DSR)', color='#4a90d9')\n", + "ax.hist(hourly_dsr, bins=bins, alpha=0.6, label='With DSR v3', color='#27ae60')\n", + "ax.axvline(avg_ref, color='#4a90d9', linestyle='--', linewidth=1.5, label=f'Ref mean: {avg_ref:.0f}')\n", + "ax.axvline(avg_dsr, color='#27ae60', linestyle='--', linewidth=1.5, label=f'DSR mean: {avg_dsr:.0f}')\n", + "ax.set_xlabel('EUR/MWh')\n", + "ax.set_ylabel('Hours')\n", + "ax.set_title('Price Distribution')\n", + "ax.legend(fontsize=9)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "curt-header", + "metadata": {}, + "source": [ + "## 3. Renewable Curtailment" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "curtailment", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reference: Curtailed 1.02 TWh (0.23%)\n", + "DSR v3: Curtailed 0.75 TWh (0.17%)\n", + "\n", + "DSR reduces curtailment by 27%\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "re_carriers = ['solar', 'onwind', 'offwind-ac', 'offwind-dc', 'offwind-float']\n", + "\n", + "results = {}\n", + "for label, n_ in [('Reference', n_ref), ('DSR v3', n_dsr)]:\n", + " re = n_.generators[n_.generators.carrier.isin(re_carriers)]\n", + " potential = (n_.generators_t.p_max_pu[re.index] * re.p_nom_opt).sum().sum()\n", + " actual = n_.generators_t.p[re.index].sum().sum()\n", + " curtailed = potential - actual\n", + " results[label] = {'potential': potential/1e6, 'actual': actual/1e6, 'curtailed': curtailed/1e6,\n", + " 'pct': curtailed/potential*100}\n", + " print(f'{label}: Curtailed {curtailed/1e6:.2f} TWh ({curtailed/potential*100:.2f}%)')\n", + "\n", + "curt_reduction = (results['DSR v3']['curtailed'] - results['Reference']['curtailed']) / results['Reference']['curtailed'] * 100\n", + "print(f'\\nDSR reduces curtailment by {-curt_reduction:.0f}%')\n", + "\n", + "# Curtailment by carrier\n", + "fig, ax = plt.subplots(figsize=(8, 5))\n", + "carrier_curt = {}\n", + "for label, n_ in [('Reference', n_ref), ('DSR v3', n_dsr)]:\n", + " re = n_.generators[n_.generators.carrier.isin(re_carriers)]\n", + " for c in re_carriers:\n", + " gens_c = re[re.carrier == c]\n", + " if gens_c.empty:\n", + " continue\n", + " pot = (n_.generators_t.p_max_pu[gens_c.index] * gens_c.p_nom_opt).sum().sum()\n", + " act = n_.generators_t.p[gens_c.index].sum().sum()\n", + " carrier_curt.setdefault(c, {})[label] = (pot - act) / 1e6\n", + "\n", + "df_curt = pd.DataFrame(carrier_curt).T\n", + "df_curt.plot(kind='bar', ax=ax, color=['#4a90d9', '#27ae60'], edgecolor='black', linewidth=0.5)\n", + "ax.set_ylabel('Curtailment (TWh)')\n", + "ax.set_title('Renewable Curtailment by Carrier')\n", + "ax.legend()\n", + "plt.xticks(rotation=0)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "dsr-header", + "metadata": {}, + "source": [ + "## 4. DSR Store Utilization" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "dsr-stores", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total DSR stores: 340\n", + "Stores with capacity built: 302\n", + "Total capacity available: 63617 MWh\n", + "Total capacity built: 60668 MWh (95.4%)\n", + "Capital cost: 5.0 EUR/MWh/year\n", + "Total DSR investment: 0.30 M EUR/year\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dsr_stores = n_dsr.stores[n_dsr.stores.carrier == 'industry dsr']\n", + "\n", + "print(f'Total DSR stores: {len(dsr_stores)}')\n", + "print(f'Stores with capacity built: {(dsr_stores.e_nom_opt > 0).sum()}')\n", + "print(f'Total capacity available: {dsr_stores.e_nom_max.sum():.0f} MWh')\n", + "print(f'Total capacity built: {dsr_stores.e_nom_opt.sum():.0f} MWh ({dsr_stores.e_nom_opt.sum()/dsr_stores.e_nom_max.sum()*100:.1f}%)')\n", + "print(f'Capital cost: {dsr_stores.capital_cost.iloc[0]:.1f} EUR/MWh/year')\n", + "print(f'Total DSR investment: {(dsr_stores.e_nom_opt * dsr_stores.capital_cost).sum()/1e6:.2f} M EUR/year')\n", + "\n", + "# Store capacity by technology\n", + "dsr_stores_built = dsr_stores[dsr_stores.e_nom_opt > 0].copy()\n", + "dsr_stores_built['technology'] = dsr_stores_built.index.map(\n", + " lambda x: x.split(' industry dsr ')[-1] if ' industry dsr ' in x else 'unknown'\n", + ")\n", + "\n", + "tech_cap = dsr_stores_built.groupby('technology')[['e_nom_opt', 'e_nom_max']].sum()\n", + "tech_cap = tech_cap.sort_values('e_nom_opt', ascending=True)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "tech_cap.plot(kind='barh', ax=ax, color=['#27ae60', '#cccccc'], edgecolor='black', linewidth=0.5)\n", + "ax.set_xlabel('Energy Capacity (MWh)')\n", + "ax.set_title('DSR Store Capacity by Technology')\n", + "ax.legend(['Built (e_nom_opt)', 'Available (e_nom_max)'])\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "dispatch-header", + "metadata": {}, + "source": [ + "## 5. DSR Dispatch Profile" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "dispatch", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total energy charged (increased demand): 10.32 TWh\n", + "Total energy discharged (reduced demand): 10.11 TWh\n", + "Efficiency loss: 0.21 TWh\n", + "Peak charge power: 14.5 GW\n", + "Peak discharge power: 13.7 GW\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Charge and discharge link flows\n", + "ch_links = n_dsr.links[n_dsr.links.carrier == 'industry dsr charge']\n", + "dch_links = n_dsr.links[n_dsr.links.carrier == 'industry dsr discharge']\n", + "\n", + "charge_total = n_dsr.links_t.p0[ch_links.index].sum(axis=1)\n", + "discharge_total = n_dsr.links_t.p0[dch_links.index].sum(axis=1)\n", + "net_dsr = charge_total - discharge_total # positive = extra demand, negative = reduced demand\n", + "\n", + "print(f'Total energy charged (increased demand): {charge_total.sum()/1e6:.2f} TWh')\n", + "print(f'Total energy discharged (reduced demand): {discharge_total.sum()/1e6:.2f} TWh')\n", + "print(f'Efficiency loss: {(charge_total.sum()-discharge_total.sum())/1e6:.2f} TWh')\n", + "print(f'Peak charge power: {charge_total.max()/1e3:.1f} GW')\n", + "print(f'Peak discharge power: {discharge_total.max()/1e3:.1f} GW')\n", + "\n", + "# --- PLOT 1: Net DSR position over the year (daily average) ---\n", + "fig, axes = plt.subplots(2, 1, figsize=(14, 8))\n", + "\n", + "ax = axes[0]\n", + "daily_net = net_dsr.resample('D').mean() / 1e3 # GW\n", + "colors_net = ['#e74c3c' if v > 0 else '#27ae60' for v in daily_net.values]\n", + "ax.bar(daily_net.index, daily_net.values, color=colors_net, alpha=0.7, width=1.0)\n", + "ax.axhline(0, color='black', linewidth=0.8)\n", + "ax.set_ylabel('Net DSR (GW)')\n", + "ax.set_title('Daily Average Net DSR Position (red = charging/extra demand, green = discharging/reduced demand)')\n", + "ax.set_xlim(daily_net.index[0], daily_net.index[-1])\n", + "\n", + "# --- PLOT 2: Sample week with hourly dispatch ---\n", + "ax = axes[1]\n", + "jan_start = charge_total.index[0] + pd.Timedelta(days=7)\n", + "jan_end = jan_start + pd.Timedelta(days=7)\n", + "ch_week = charge_total[jan_start:jan_end]\n", + "dch_week = discharge_total[jan_start:jan_end]\n", + "ax.fill_between(ch_week.index, 0, ch_week.values/1e3, alpha=0.6, color='#e74c3c', label='Charge (extra demand)')\n", + "ax.fill_between(dch_week.index, 0, -dch_week.values/1e3, alpha=0.6, color='#27ae60', label='Discharge (reduced demand)')\n", + "ax.axhline(0, color='black', linewidth=0.5)\n", + "ax.set_ylabel('Power (GW)')\n", + "ax.set_xlabel('Time')\n", + "ax.set_title('DSR Dispatch - Sample Week (January, hourly)')\n", + "ax.legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7f0885e4", + "metadata": {}, + "source": [ + "### 5b. DSR Response to Price Signals\n", + "\n", + "The core rationale of DSR: **charge (increase demand) when electricity is cheap, discharge (reduce demand) when expensive**. The plots below show this behavior on representative days." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "cb4c738d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Expected behavior: DSR charges (red bars) during LOW price hours\n", + "and discharges (green bars) during HIGH price hours.\n" + ] + } + ], + "source": [ + "# Get system-wide average LV price from the DSR run\n", + "lv_buses_dsr = [b for b in n_dsr.buses.index if 'low voltage' in b]\n", + "price_hourly = n_dsr.buses_t.marginal_price[lv_buses_dsr].mean(axis=1)\n", + "\n", + "# Find a typical high-activity day (90th percentile swing, avoids extreme outliers)\n", + "daily_swing = net_dsr.groupby(net_dsr.index.date).apply(lambda x: x.max() - x.min())\n", + "p90_threshold = daily_swing.quantile(0.90)\n", + "# Pick the day closest to the 90th percentile\n", + "typical_active_day = pd.Timestamp((daily_swing - p90_threshold).abs().idxmin())\n", + "\n", + "# Also pick a typical winter day and a summer day for comparison\n", + "winter_day = pd.Timestamp('2019-01-15')\n", + "summer_day = pd.Timestamp('2019-07-15')\n", + "\n", + "days_to_plot = [\n", + " (typical_active_day, f'Typical High-Activity Day ({typical_active_day.strftime(\"%b %d\")})', '#2c3e50'),\n", + " (winter_day, 'Winter Day (Jan 15)', '#2980b9'),\n", + " (summer_day, 'Summer Day (Jul 15)', '#e67e22'),\n", + "]\n", + "\n", + "fig, axes = plt.subplots(len(days_to_plot), 1, figsize=(14, 4 * len(days_to_plot)))\n", + "\n", + "for idx, (day, title, color) in enumerate(days_to_plot):\n", + " ax1 = axes[idx]\n", + " day_end = day + pd.Timedelta(days=1)\n", + " \n", + " # Price on left axis\n", + " price_day = price_hourly[day:day_end]\n", + " ax1.plot(price_day.index, price_day.values, color=color, linewidth=2, label='Avg. LV Price')\n", + " ax1.set_ylabel('Price (EUR/MWh)', color=color)\n", + " ax1.tick_params(axis='y', labelcolor=color)\n", + " \n", + " # Net DSR on right axis\n", + " ax2 = ax1.twinx()\n", + " net_day = net_dsr[day:day_end]\n", + " net_colors = ['#e74c3c' if v > 0 else '#27ae60' for v in net_day.values]\n", + " ax2.bar(net_day.index, net_day.values / 1e3, color=net_colors, alpha=0.5, width=0.06, label='Net DSR')\n", + " ax2.set_ylabel('Net DSR (GW)\\nred=charge, green=discharge')\n", + " ax2.axhline(0, color='grey', linewidth=0.5, linestyle='--')\n", + " \n", + " ax1.set_title(title)\n", + " \n", + " # Combined legend\n", + " lines1, labels1 = ax1.get_legend_handles_labels()\n", + " from matplotlib.patches import Patch\n", + " charge_patch = Patch(facecolor='#e74c3c', alpha=0.5, label='DSR Charge (extra demand)')\n", + " discharge_patch = Patch(facecolor='#27ae60', alpha=0.5, label='DSR Discharge (reduced demand)')\n", + " ax1.legend(handles=lines1 + [charge_patch, discharge_patch], loc='upper left', fontsize=9)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print('\\nExpected behavior: DSR charges (red bars) during LOW price hours')\n", + "print('and discharges (green bars) during HIGH price hours.')" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "a40f30b7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "If DSR is rational: charge should be higher during low-price hours,\n", + "discharge should be higher during high-price hours.\n" + ] + } + ], + "source": [ + "# Average DSR behavior by hour of day (across entire year) vs average price\n", + "avg_charge_by_hour = charge_total.groupby(charge_total.index.hour).mean() / 1e3\n", + "avg_discharge_by_hour = discharge_total.groupby(discharge_total.index.hour).mean() / 1e3\n", + "avg_price_by_hour = price_hourly.groupby(price_hourly.index.hour).mean()\n", + "\n", + "fig, ax1 = plt.subplots(figsize=(12, 5))\n", + "\n", + "# Stacked bars for charge/discharge\n", + "hours = avg_charge_by_hour.index\n", + "width = 0.35\n", + "ax1.bar(hours - width/2, avg_charge_by_hour.values, width, color='#e74c3c', alpha=0.7, label='Avg Charge (GW)')\n", + "ax1.bar(hours + width/2, avg_discharge_by_hour.values, width, color='#27ae60', alpha=0.7, label='Avg Discharge (GW)')\n", + "ax1.set_xlabel('Hour of Day')\n", + "ax1.set_ylabel('Average Power (GW)')\n", + "ax1.set_xticks(range(0, 24, 2))\n", + "\n", + "# Price overlay on right axis\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(hours, avg_price_by_hour.values, 'ko-', linewidth=2.5, markersize=5, label='Avg Price (EUR/MWh)')\n", + "ax2.set_ylabel('Price (EUR/MWh)')\n", + "\n", + "# Combined legend\n", + "lines1, labels1 = ax1.get_legend_handles_labels()\n", + "lines2, labels2 = ax2.get_legend_handles_labels()\n", + "ax1.legend(lines1 + lines2, labels1 + labels2, loc='upper left')\n", + "\n", + "ax1.set_title('Average DSR Dispatch vs Electricity Price by Hour of Day (full year)')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print('If DSR is rational: charge should be higher during low-price hours,')\n", + "print('discharge should be higher during high-price hours.')" + ] + }, + { + "cell_type": "markdown", + "id": "hourly-header", + "metadata": {}, + "source": [ + "## 6. Price Impact of DSR by Hour of Day" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "hourly", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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5SJUqVWI61mrVqkVeeukl+/v5uX5nwIABgR//999/b8+7rq1Yz7eu4W7dutl9ZAqdQ9ffc+GFF0bSUaz3aK5dE//880/klVdeiTRr1syWAfGUHfvss0/kjDPOiLz55pt2f35UrsVbRkXzat68eYF/cyxlxOLFi229se+++0b1+X71SzLLpj///DPy+OOPR+rVqxf3uSxVqlSkU6dOkZEjR3qWtWHed2FeI17lldpae+21l+d7jzjiiEiY1C50HefFF18cSTXdU67je/XVVwP7nJtvvtn3O1u3bp3v73Nfh39fZ1v9lwiV9bHcF19//XWkXbt2MdWz+++/f+Saa64p8Nr3M2/ePOf+27RpEwnTiy++6Pzse+65J5Jqfu2RMNqHqT6GrVu32u/k6KOPjqvePOaYY+yz17///puRbXTV+4k8bydy/3/33Xe2fCtWrFhU5zrdrF27NnLrrbdGDjnkkJivmyJFikROO+20yIQJExI6hniu2WhfQbZlgrqOknkdTJ482fc4qlatmnDfkOpAtfOaNm1qr4l4vyv1m9511132mkxUo0aNnNfsqlWrImHZtGlTZO+993b2cQEAAAAAAACZKB3GXDTef+CBBzqPQzF6S5cujXp/vXv3du5L/Z3pTn3ficTUxMIvfvPyyy+PpKtk9tOXL1/e+TmKtYr3u/SKTxo1alTkxBNPjKrf3e9aiPVzE6Vx7UsvvTRSpkyZuMcRatasGenbt29kwYIFgR6b4ioUD6fzFU28b/6Xysj77rsv8scff0RytVyPdXx14cKFdny3aNGiUZ9nxUwPHz48puMaPXq0c8zI9TrppJMis2fPjoQdk+V1f6quu+WWWyIlS5aM+ngVo9KqVSsbcx8Wfb8PP/ywHReONr7SFSOj+nfu3LmRZEtmGeRXvgb1Slb7K9b4cq/y9YUXXrBj0rH8fbVr14688cYbCY1j+82x0fyJMB177LGen6s6Zvny5ZFU8ovjiSe+JhOOQef8qquuihxwwAEx32uKN9Z8phkzZqRtjFNBgoxpj+X+1/07ZMiQSP369aM616men6J5Tq77Np55fkF992rLaO5HrPWtnmmT1TbNpLb0hg0bbP2gGOtYjlHPX5999llSYyN/++23yLPPPhs566yzIqVLl475vO5ajnXt2jUyffr0SKLiPYZoX9GUA67nmGh+V/eT67PVTgzTypUrnfdH48aNA2mvX3311ZGyZcvGfN71TKbY9zCfJ5C5li1bZp+BKlasGPe9XblyZTtXb+bMmaE+T6vtMXTo0EjdunVjOr6DDjoo8tBDD9kY/GTQXMznn38+0qBBg7jOZ61atWy7paA5nYnUlXqmVd1Rrly5uL93xem2bds28sknnwR+jLH2aWoufqxzLlXfPPHEE4HOqci0eVrpNpdC17xrnOL+++8P6K8GAOC/0m/2HwAAAICMpgQErk4uBaDu2LFjt9+56aabnJ1szzzzTMzHoKAt1/5OP/30SJgUeOb6bAV2xevHH3+0AX/xdmjnHzjTYPvff/+d8N8b7WDyxo0bIxdccEHMndgFfbY6+hMJ9HO91OH+1VdfRcKkzu5YB3zyv5o0aWKDVHeVjKSQv/zyi034Fm+Cz11f2scll1xir5F0R8La7LkmNOiqRLWJDBR6vRS4N2jQoIxPWKvzoyCnWJOjpzphrQY9NSgez0Ck30tJypTgMlsT1opfHf3ll19GwqKgVdfnKsFXriSsLSggX4PUfrivw7+vs6X+S2aQhQKUrr322riCbfNeCoCNdWLVrk444QTP/e6xxx72uwuLXzLAX3/9NZJq6TB5OlnHoImprgVyYn1pot/YsWMDOa5sT1ir4KfrrrvO3muxnON0oQkDalNqYYogrh0tjBPvBOEgPj+a7ywXE9YW1IenVzxBoSrnleg41oWJonnpOeeRRx5JaAKinoNd+9czYFg0WcT1uQ8++GBonwsAAAAAAABk+5iLPPDAA759i4rNjJbGK1OVqCTTEtb6JWPt1atXJF0ls5/eL+ZCi0YGkWRB476KCY6lvz0dEtYqkXTHjh0DiTXIPy6lJBqJUtKiWBMpul5KhDl48OBIJkhVwlqN/SiJhGvB8WheZ555ZmTz5s2+x7NmzZqY75ddX0qu8dRTT0WCEG2CHY35JxrjqTJ5y5YtgRy3YmGefPJJu2BlkPeuXhpfVz2seRhhS0UZRMLa/2/+/PmRhg0bJnSelfg13jrp559/dn7vrVu3joTFb+HxsOf2RCOXEtb+9ddfNjFlLMnR/V4dOnQILB4u2xPW6j7Q3J9Yzm+qE9ZqkQnXXKsgRfvdr169OnL22WcndM0quWDYCSgzqS393nvvxZW4etdX9+7d/5NYN4zYSMU7aTGCWOMRoy3HElnkO+jjSXbCWsVKutrbiuEOM1mlX3+WYs3ipfZonz59ElpgfteXyh0l1wXWrl0bufjiiwO7tvJeSmT/008/Bf48rba/X99cNK8jjjjCzmkPkxblCGpupxIBjxkzJrBje//99yPt27eP7LnnnoGX70r8HuTiU9H2aartfuqppyZ07EoQHOSiRpk0Tysd51K4FnE7/vjjE/57AQDwUtgAAAAAQICGDx9u/v77b89tXbt2NYUL7/4YcsEFFzj39+qrr8Z8DLVr1zYNGjTw3DZu3DizevVqEwbtd/z48Z7bGjZsaGrVqhXXfh977DFz1FFHmU8//dQEYdu2bebee+81zZo1M8uXLzdhW7JkiWnatKl54403At3v3Xffbd58802zefNmE7RZs2bZ8/Pkk0+aMHzwwQf2mvj+++8T2s/06dNNkyZNzNSpU00y73Fdy++88456wRPen/bx4osvmmOOOSbh84HUyLRrYuXKlaZFixamZ8+eZtWqVYHu+/fffzdTpkwxmUx1eIcOHcxNN93krM/T0Y8//mivmb59+5pNmzYFuu9ffvnFzJw502Sz3r17O7cNGjQolM9ct26drQ+9qN2jejJXHHDAAb7bt2zZktD+ua/Dua8zrf5Lpj///NOcfvrp9jlm586dce9nw4YN5pxzzjHXX399XOfYVbbt2LHDvPLKKyYM+u6+/vprz21t2rQx5cqVC+Vzsfsz72WXXWbOOOOMwJ559Vx76qmnmquuusps376dU+5Tv5900knm0UcftfdaplG/TvPmzW2bMtH6N8/EiRNt2yboPhEkrn///r7bR4wYEfM+1Xen/qqff/7ZBE3POaoTW7dubf7444+49tGlSxdTsmRJz20vvfRSIG2aWJ4pihYtai688MJQPhMAAAAAAADIFZdffrnZb7/9AunrLF26tHPbDz/8EPOxZTO/cYTixYsn9VgyMRYiiHGYb7/91jRq1MiMHj3aZBLFBSjW4N133w28X17jUhs3bkwovkT99hrv/+mnnwI5prVr15rzzz/fxon/888/gewzm2zdutWce+65dtwqkfOjGKwTTzzRGU+tWAaNWSZyv/z777/myiuvNPfcc49Jhqefftq0a9cu4RjPl19+2TRu3Nj8+uuvCR/TmjVrbMzAl19+aYKm8XWVD0cffbSZO3euycUyKNsp1l/zKWbMmJHQfqZNm2bq1atnJk+eHPPvHn744aZVq1ae2zQHZtmyZSYMfjGoF198cSifid0tWrTI1K9f3zz44IM2tioI7733njniiCPsHC24ffLJJ3bOj+b+ZArV+59//rnnNs3DSDbVjWr7xxPLs6sVK1aYli1bhvIMkWlt6ZtvvtnOGdH8l0S89tpr5oQTTgh8Xk7+umLChAmhxCOqHDvyyCPNpEmTTC7aY489zHnnneeM4R45cmRonz148GDPn++55542djwen332malZs6Z5/vnnA4vzVbmjNrraushdH374oalevbpt1wYdQ/7NN9/Y+ilIelbQfKxEyzbVv3qG0TEGTfWP4vJVxwVVhyxdutScdtpppl+/fgnNYclzww032O9efTdBUztL84Y0FylZ5s+fb9ukY8eOTXj+pvYT1rFn+jytZM+lUH+gF/Vd0UcDAAgDCWsBAAAABMovwawGSr1oMMiVYFaJpOIJdnYlO9CggJKchmHo0KHOQYd4ki9oX+p0v+666+yAf9AUsHvssccGNhju5bfffrMD+uqIzjQ6/1dffXXgwZUK8uvYsWNgAQPr16+3AzTfffedCZuCEhQcqyRkQVu8eLE57rjjzFdffRX4vhGeTLsmlEAu3kDNXKCBsM6dO5v333/fZJJRo0bZwXQmR8VP7YG6det6bnvrrbdCuceVtM3Vvsm1IGQFVvlJJKiF+zocmVb/JZOu1zPPPDOwxTZEwRqXXnppzL+nNveBBx7ouU0Ja4MIRMqPCRapp+csJQd+7rnnQtn/U089ZSfFhRF8luk0sViBfslcUCXo8lcTG8I4fl2X6he66667At834qfJElWrVvV9zkhHmiioAMN4ktbuvffezv5ZJdkNI7Be/Y9aGMpL+/btTdmyZQP/TAAAAAAAACCX7LPPPjbWw2XBggU2OVU0XGNrouRKStSH/z8O79dHW6JECU5TAbEQiSb3UDyqEu4FkYAymddNr1697MKr6biIuBZ2VPxQWIswKhmRknf99ddfoew/EylmQcmhFJsVBCXB7Nat227JPObMmWPHloJKAHPrrbc6FykPimI6lBw3qLgOxRUqFicTygwtpqtxzKBjwtO9DMp2+j4V66/Eb0FQ0hntT0nZYtWnTx/Pn+t+C2MBcMWIuhLSHXzwwXYxaoRPc7KUvDuMOT26rlXHK2kldqdEcYqNiHdh4lTRXAvXIhNaDDyZdN3qM4NKqq24P8WWzps3z+RqW1rz5O677z4TlNmzZ5uTTz45467zXRMDq15VUtxc5DffNaxrWvFkrrk/bdu2NaVKlYp5n88++6w55ZRT7P0YxjWifX/00UeB7xvpb8CAAXZuRFBt+WTU4a1bt7bzjYN69lBseJD9wgsXLrS5BJTUPwxaoEFxsslIFpoItbWUoDussnZXv/zyi53jv3z58sDi4nXsyqcQpEyfp5WKuRSuxSTU/654cwAAglYk8D0CAAAAyFlaZcu16qtWnNTLRYlZFQjhSoL7yCOPxHQs6phUolev1X/ViXvttdeaoLk6h4sVKxbz6o7qEO/atWtUK40VLlzYJpmrUKGCOeCAA2ygrwbDVq5caRNC+HWu6z1asUvnvkyZMjEdYzR/gwZktDqdl3333ddeEwcddJD9bAUkaWBQwZFBBAXqvCsZshJfKAi8ZMmSplChQnagRKvwKfgrmtVgFVxZrVo138D+aGllsmgHPKpUqWJXMi9fvrwNINU5Uce4Xvlt3rzZDsrq3IXl+uuvt8nCoqHzXrlyZXs9alKEVoZT8mKtqOiX2EkBChoUU1JRrTyJ9JZp14QGezToE+2gle6/ihUr2vKpdOnS9j7TgK0CtxWgFNTq8ulEq4i6kjIVKVLEltnlypWz5bbKU50PBYGp/k8VrWqtOj+a70PHXKNGDfs35NUNmzZtsoEDGnzV3xFG8sJMoWD0K664wnPAdNiwYeaSSy4J9PNeeuklz58XL17cuVJ3tiqoPaLEYvHivg7+vs60+i/ZdH5ckyHU/tfKxDonuq5Vtyo5ngIPC0r++cILL5hKlSqZm266Kabnge7du5uHH354t216RlFwqQIIg6LAmyFDhnhuO+SQQ2xAK8Kl56wOHTpEFVyja1DX42GHHWbvT9V3mvil67GgwO4xY8b8L8m/nsfxf4HLrn4d9VMcddRRdrKR2mEqm9VvoaBjnfdUU9msvpFoAvH0fKBFMNQHo3JG7Um1I9XHUFCdo8BVXW8qK5EeNAHl/vvvd/aZ6dmvdu3agX6mnjP1vKnnEb1UHuk5VdeSkkbolX8icX4qq9RvOHLkSPucE2u7X8m3XYnXNWE5SCRzBwAAAAAAAMLXqVMn8/LLLzu3a+xE8W/RjG+6KC7jjjvusAlAcp3GN/z6cQ899NCkHk8mxkIkEgehPnUl/XIlClGc1xFHHGHHpDRWr3FcxV4qiZLG7FM1jqkY4nfffTeq92s8SeMTGpfSS3FbitPSS+NSQSfg0f40PhBNEjvF9Rx99NH2/Opc615Q0hKN/StBtp/PP//cllca32Cc9f8n4VDsmxeNq+oa0L+6X3SOdX4LOscffvihTTipxKSia16xxa77UfeKYjEUD6jrVNeCYlUKSsSjZLJKGq04kKApcYgroabGxXTMtWrVstef4s4Vz6lY+YLuC41LKzHmF198Ye+xsOi4FKOoJFsaC9x///1tgljFrmv88fvvv3cu8p5H97q+N8UX+SWTz5YyKNtpHFjfp+KkXO0GxVOoXFXZqPtWbY2CFhzQdaUYmWnTptl7IlpapFkxtF5JrFV+3H777WaPPfYwQVFsjav+7dGjh72+EC7FPSgWMZoka4px0/WoeiHv3tfvF5TYMy8ptuqsIObcZIsVK1bY+VSu2Ejdi6ozdP+r3lDMmpKyqt2a6sSffvF3SsyaLHlJIl1tGcXf6KVzmNdmUrt07ty5BZahF198sW0XJNouzbS29GOPPWaefPLJqOcpqlzQtarnMNUd+jv1veSnc665cmHM1SzIfvvt97/2YV48ltpban8pLlBxfQXFhOq5UedXbeFo+k+ySZ06dWw8pNeC5IqVVT0eRJt0V37JGf0S6LromlYi5mgoZljfsa4XtdVVP+o+Vtvblag7r19M14hiz48//viYjxGZSXPTVW5GQ/HEef1Reu211162LaVrTG17tQvCpuc1tfdVprn6ftUHoOMrWrSorYNUrqse8qNy/6qrrjLDhw9P+BhV30W7qI7Kd9WbKoPUx6c2VV7/iGu+ep4333zT3uPPPfecCYvqddU/Or68uetqF6v+0TnTPO+C2nSKO1ebRPPImzVrFspxKnGpYqVd51xtf9UDqu91Xeia1XWhut2vD1zH3rNnT9tWCGJBg2yYp5WKuRRamETPbl4LxI0bN87WXQAABIneXAAAAACB8VtVWQOPfhQIpU5Fr4RzSvrzwAMPxBSQos7GNm3aeK7irgF8BXxp8DQo2p8rWaiOQ8cTixtvvLHAZLUaeL/88stth646tb2og/vjjz82d999tzOhoBKydOnSxXz66acxJ7koaDU6rxXHFISizmgNLmgwxos6h2MdxFDnspJAKaBQiYfU4a9Ocj/qzH3rrbds0jy/wZVLL73UrjamzuBEAs6UVNE16JPX8axB0m7dujmvTw2Wa/W5J5544j8d6Poe+/bta8KgRCYFdfg3adLEDj4pCNWV/FiDtxqc1Wq8rtXodJ4UmKPO+UQC0xGuTLsmfvrpJztRoaBktRrIVMCcym0FIrjoPlZdonJTiTwLCmradeBp14ApHY8r2EIJs/wmAnlJJDhGCX29Egxq1VIFDinZr2ulYpU/GsR1lelhURJwlZcFJatVPanE+PobNIDqooBgJX4aO3asrYNSlTxNdfuuFKju1Z4R3RtKlhYL3ZuutpqSm3oF2ijJVJAJa6dMmeIMzNNgqAbqc4kGxv0oICoe3NfB39eZVv8lm+5tr2dC1SVKNKt2ulddofOhZ597773Xd7KFFpJQkJ9WNo4lKZ8WP/EKllHZFmTCWk3scQX26/knyMkccF8jo0eP9j09elbs37+/nQykYECvdt5HH31kE1h6BeDm0Xs0Kfuuu+7i6zDGtokV1JTfySefbC677DL7r2vSn/oqHn/88ZSdRwVoqZ+ioOBFTfS65pprbECgV9+J2vlq26v/ym+Cnvp7FHCmeqIgrkA/9U9MmjTJs907ceLEAveL/z53uRLW5vVPJZKwVteK6kHV6Zqwo+/e9Vy1a0Ck2gmqpz755BPndaD+PiWguOiii2I6JgVFqy5VvZ3fiBEjbJB0vO3P/DTZQ4G/XhQsGs19AAAAAAAAAKBgGkPTOJwrAZ76OqNxwgknOCc3i2JDlFAp2iQg2aqgvniNR8E/FiKRfugbbrhht7F/jcVqTFaxL+qP9xqbVRIAJaTyGmMJm2KvCkoUqdhR/Q2KcdNYkP7fRUlOpk+fbvv1NW5ZUPIlPyo3zjrrLN8EWzoWnVvFvjVq1MgZI6YEa4rNUOywxhu8aDxXY6waa831ciR/3KCuW8Uu6jrQefYak1RMxcCBA83gwYN9E+Fq/FPJZBWznD8pjhJj6D1nn322Z9yZ6gCN/Sqm3xV3rsXh9T3quw6Srkf9/fnjARVLpntf50fHn5/G03RPKKbH715TDIASDmnR5KAozlRjgS1btrRjgVq8sqC/UYlRFF+j+HXX/auYTI1PuxZOzrQySDH9+eMiFX/rdY0pKZHiPWMVaxxlsujazb94bl69peTPrvkCixcvtm2vp59+2jn3QPNENAdkxowZvt/ZrtTW072kuSVe97bi7BRDHfYCpyrj8pJrIzyKU1d576qX865H1fG6HhVH70VxzJpvo3LWlXRLbS0lIVaMhZIfwth4Dt2nu1K8ms616ur69et71veqBxUvonIgVVxxrYrDd8XFBk31u+oDlU35nyU0b0rXtivRmNqlivdVEkvXPAMl/H7xxRedifKzsS2t+kJzBfyUL1/evkfx/F7zLpSIT21Zle9qy+xK7YJE5txFS+1BtVkU/6tyS+0xv7mQOmbN/VH7W+1oV5yv7lfVz5MnT456bmWq5n0ETdenV7ys7h/FhqrcCoqeN7RPL7p+NC80Frru1G72o7pJ79F8IiVWdN3P+u4feughz1jYvPfo3tD15PVcguyidk9ByWrVjtJzt+KLC1rUJW+BGC00o2epaBYTiIWeGTQ/X3NQdqVnVJXrSmTrel5VPabYZ5WTrnhVlfndu3eP+R7dlf5mzSfxS1ar50HNXdPfoiSqrvkXepbU8Wp+teuZ9Pnnn7d1r9qoQVDsr45fZYmOTXM4/eaH6Fzq3Goe+Kuvvur8u1W26NwqP4HX3IZE6bv1Gh9QElv1kaiu8ar31LerZ4CHH354t+tq12PXPaBjjzV/QrbN00rVXAq1LTVm4zW32XUOAABISAQAAAAAArB9+/bIwQcfrB7p3V6FCxeOrFy5ssB9tG3b1vP39frggw9iPqb333/fub8bbrghEqTrr78+sGN/9913nfvS64gjjoh88803MX8/Dz74oP0uXPt95plnYvyrI5HPP//c91h3fVWtWjUyadKkSFBOOukku9+WLVvac/z333/Hva9t27ZF7rvvvshee+3lPP5LL700oePt06eP7/lp3LhxZP78+VHv78cff7S/s+s+ChUq5Nz/gAED4jru6dOnR4oUKeLc7yGHHBKZMGFCzPt94403fM933759I+lG59B1vBdeeGEkHfndo9qWC9fE1q1bI0ceeaTv/Ve+fPnIa6+9FtmxY0dcn/H9999HevXqFSlatGhM18KSJUucx/Tqq69GwhBtmb3PPvtEXnrppbjPSbSfG2/ZtH79evu9+f0N1atXj3z44YdxH/OXX34Z6dixoy1bYznOoO+7MO5jl4suusj5WbNnzw7sc3SfuD7niy++iKSL5s2bJ+Ue7dChg/Nz9thjD9tO8cN9Hf59nYn1X1j86i6v61fPINHWJaqzr732Wt99Hn744ZF//vknpmNu1aqV576KFSsWWbNmTSTsMkPPYEuXLo2ki0qVKiWtXknmMUyZMsX3eUj378MPPxz19aj36RlR17Frn/puVTakc93uqnP1HYR5/5ctWzYyYsSISCa49957ff+WMmXKRD755JOo97dp06ZI586dffdZrlw5+76gyxv9PN0VdB0l25YtW3z7yq655pqY9jd48OD/tQtUB65YsSKh41PZVqNGDefxHXjggZHNmzfHvN8hQ4Y49/n4449HgqI2s+tzBg4cGNjnAAAAAAAAALk65rKrJk2aOI/n6KOPjno/J5xwQoHjAIrzVKxMuvHrkwyqD33nzp2RunXrOj+nRIkSdtwz1/vpNQ7iN852wQUXxP1d5n81aNAgMmfOnECO2+9zde7iMWzYsAL/hnPOOSfu/WucQHF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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Average price by hour of day\n", + "hourly_ref = prices_ref.mean(axis=1)\n", + "hourly_dsr_price = prices_dsr.mean(axis=1)\n", + "\n", + "by_hour_ref = hourly_ref.groupby(hourly_ref.index.hour).mean()\n", + "by_hour_dsr = hourly_dsr_price.groupby(hourly_dsr_price.index.hour).mean()\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "ax = axes[0]\n", + "ax.plot(by_hour_ref.index, by_hour_ref.values, 'o-', label='Reference (no DSR)', color='#4a90d9', linewidth=2)\n", + "ax.plot(by_hour_dsr.index, by_hour_dsr.values, 's--', label='With DSR v3', color='#27ae60', linewidth=2)\n", + "ax.set_xlabel('Hour of Day')\n", + "ax.set_ylabel('Average Price (EUR/MWh)')\n", + "ax.set_title('Average Electricity Price by Hour of Day')\n", + "ax.legend()\n", + "ax.set_xticks(range(0, 24, 2))\n", + "\n", + "# Price difference by hour\n", + "ax = axes[1]\n", + "price_diff_hour = by_hour_dsr - by_hour_ref\n", + "colors = ['#27ae60' if v < 0 else '#e74c3c' for v in price_diff_hour.values]\n", + "ax.bar(price_diff_hour.index, price_diff_hour.values, color=colors, edgecolor='black', linewidth=0.5)\n", + "ax.axhline(0, color='black', linewidth=0.8)\n", + "ax.set_xlabel('Hour of Day')\n", + "ax.set_ylabel('Price Difference (EUR/MWh)')\n", + "ax.set_title('DSR Price Impact by Hour (negative = cheaper)')\n", + "ax.set_xticks(range(0, 24, 2))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "gen-header", + "metadata": {}, + "source": [ + "## 7. Generation Mix Comparison" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "gen-mix", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generation by carrier (TWh):\n", + " Reference DSR v3 Difference\n", + "carrier \n", + "oil primary 2351.0 2351.0 0.0\n", + "gas 1714.9 1714.9 -0.0\n", + "solar rooftop 600.3 600.2 -0.1\n", + "unsustainable solid biomass 395.9 395.9 -0.0\n", + "nuclear 322.4 322.5 0.1\n", + "onwind 223.7 223.8 0.1\n", + "coal 191.6 191.6 -0.0\n", + "solid biomass 176.5 176.5 -0.0\n", + "solar 116.2 116.2 0.0\n", + "offwind-ac 109.4 109.5 0.1\n", + "unsustainable biogas 65.1 65.1 -0.0\n", + "unsustainable bioliquids 63.2 63.2 -0.0\n", + "urban central solar thermal 14.7 14.2 -0.5\n", + "biogas 0.0 0.0 -0.0\n", + "urban decentral solar thermal 0.0 0.0 -0.0\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Compare generation by carrier\n", + "gen_data = {}\n", + "for label, n_ in [('Reference', n_ref), ('DSR v3', n_dsr)]:\n", + " gen_by_carrier = n_.generators_t.p.sum().groupby(n_.generators.carrier).sum() / 1e6 # TWh\n", + " gen_data[label] = gen_by_carrier\n", + "\n", + "df_gen = pd.DataFrame(gen_data).fillna(0)\n", + "df_gen['Difference'] = df_gen['DSR v3'] - df_gen['Reference']\n", + "df_gen = df_gen.sort_values('Reference', ascending=False)\n", + "\n", + "# Top carriers\n", + "top = df_gen.head(15)\n", + "print('Generation by carrier (TWh):')\n", + "print(top.to_string(float_format='{:.1f}'.format))\n", + "\n", + "# Plot difference\n", + "diff_nonzero = df_gen[df_gen['Difference'].abs() > 0.01]['Difference'].sort_values()\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "colors = ['#27ae60' if v > 0 else '#e74c3c' for v in diff_nonzero.values]\n", + "diff_nonzero.plot(kind='barh', ax=ax, color=colors, edgecolor='black', linewidth=0.5)\n", + "ax.axvline(0, color='black', linewidth=0.8)\n", + "ax.set_xlabel('Generation Difference (TWh)')\n", + "ax.set_title('Change in Generation by Carrier (DSR v3 vs Reference)')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "976c1b63", + "metadata": {}, + "source": [ + "## 8. Grid Deployment Comparison\n", + "\n", + "Does DSR reduce the need for transmission grid reinforcement? Compare AC line and DC link expansion between the two scenarios." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "8438b8a8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "=== AC Transmission Lines ===\n", + "Total optimal capacity - Reference: 331.9 GW | DSR: 331.8 GW\n", + "Total NEW expansion - Reference: 4.5 GW | DSR: 4.4 GW\n", + "DSR impact on expansion: -2.04%\n", + "\n", + "=== HVDC Links ===\n", + "Total optimal capacity - Reference: 76.2 GW | DSR: 74.8 GW\n", + "Total NEW expansion - Reference: 22.2 GW | DSR: 20.7 GW\n", + "DSR impact on expansion: -6.42%\n", + "\n", + "=== Combined Grid Expansion (AC + HVDC) ===\n", + "Reference: 26.7 GW | DSR: 25.1 GW\n", + "DSR impact: -1.5 GW (-5.68%)\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ---- AC Lines ----\n", + "lines_ref = n_ref.lines.copy()\n", + "lines_dsr = n_dsr.lines.copy()\n", + "\n", + "# Optimal capacity\n", + "total_s_nom_opt_ref = lines_ref.s_nom_opt.sum() / 1e3 # GW\n", + "total_s_nom_opt_dsr = lines_dsr.s_nom_opt.sum() / 1e3\n", + "# New capacity built (expansion above existing)\n", + "lines_ref['expansion'] = (lines_ref.s_nom_opt - lines_ref.s_nom).clip(lower=0)\n", + "lines_dsr['expansion'] = (lines_dsr.s_nom_opt - lines_dsr.s_nom).clip(lower=0)\n", + "total_exp_ref = lines_ref.expansion.sum() / 1e3\n", + "total_exp_dsr = lines_dsr.expansion.sum() / 1e3\n", + "\n", + "print('=== AC Transmission Lines ===')\n", + "print(f'Total optimal capacity - Reference: {total_s_nom_opt_ref:.1f} GW | DSR: {total_s_nom_opt_dsr:.1f} GW')\n", + "print(f'Total NEW expansion - Reference: {total_exp_ref:.1f} GW | DSR: {total_exp_dsr:.1f} GW')\n", + "print(f'DSR impact on expansion: {(total_exp_dsr - total_exp_ref)/total_exp_ref*100:+.2f}%')\n", + "\n", + "# ---- DC Links (HVDC, not DSR links) ----\n", + "dc_carriers = ['DC']\n", + "dc_ref = n_ref.links[n_ref.links.carrier.isin(dc_carriers)]\n", + "dc_dsr = n_dsr.links[n_dsr.links.carrier.isin(dc_carriers)]\n", + "\n", + "total_dc_ref = dc_ref.p_nom_opt.sum() / 1e3\n", + "total_dc_dsr = dc_dsr.p_nom_opt.sum() / 1e3\n", + "dc_ref_exp = (dc_ref.p_nom_opt - dc_ref.p_nom).clip(lower=0).sum() / 1e3\n", + "dc_dsr_exp = (dc_dsr.p_nom_opt - dc_dsr.p_nom).clip(lower=0).sum() / 1e3\n", + "\n", + "print(f'\\n=== HVDC Links ===')\n", + "print(f'Total optimal capacity - Reference: {total_dc_ref:.1f} GW | DSR: {total_dc_dsr:.1f} GW')\n", + "print(f'Total NEW expansion - Reference: {dc_ref_exp:.1f} GW | DSR: {dc_dsr_exp:.1f} GW')\n", + "if dc_ref_exp > 0:\n", + " print(f'DSR impact on expansion: {(dc_dsr_exp - dc_ref_exp)/dc_ref_exp*100:+.2f}%')\n", + "\n", + "# ---- Combined ----\n", + "combined_ref = total_exp_ref + dc_ref_exp\n", + "combined_dsr = total_exp_dsr + dc_dsr_exp\n", + "print(f'\\n=== Combined Grid Expansion (AC + HVDC) ===')\n", + "print(f'Reference: {combined_ref:.1f} GW | DSR: {combined_dsr:.1f} GW')\n", + "print(f'DSR impact: {(combined_dsr - combined_ref):.1f} GW ({(combined_dsr - combined_ref)/combined_ref*100:+.2f}%)')\n", + "\n", + "# ---- PLOT: Grid expansion comparison ----\n", + "fig, axes = plt.subplots(1, 3, figsize=(16, 5))\n", + "\n", + "# (a) Total capacity bar chart\n", + "ax = axes[0]\n", + "categories = ['AC Lines\\n(s_nom_opt)', 'HVDC Links\\n(p_nom_opt)']\n", + "ref_vals = [total_s_nom_opt_ref, total_dc_ref]\n", + "dsr_vals = [total_s_nom_opt_dsr, total_dc_dsr]\n", + "x = np.arange(len(categories))\n", + "w = 0.35\n", + "ax.bar(x - w/2, ref_vals, w, color='#4a90d9', label='Reference (no DSR)', edgecolor='black', linewidth=0.5)\n", + "ax.bar(x + w/2, dsr_vals, w, color='#27ae60', label='With DSR v3', edgecolor='black', linewidth=0.5)\n", + "ax.set_ylabel('Total Capacity (GW)')\n", + "ax.set_title('Total Grid Capacity')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(categories)\n", + "ax.legend()\n", + "\n", + "# (b) New expansion only\n", + "ax = axes[1]\n", + "categories_exp = ['AC Expansion', 'HVDC Expansion', 'Total']\n", + "ref_exp = [total_exp_ref, dc_ref_exp, combined_ref]\n", + "dsr_exp = [total_exp_dsr, dc_dsr_exp, combined_dsr]\n", + "x = np.arange(len(categories_exp))\n", + "ax.bar(x - w/2, ref_exp, w, color='#4a90d9', label='Reference', edgecolor='black', linewidth=0.5)\n", + "ax.bar(x + w/2, dsr_exp, w, color='#27ae60', label='DSR v3', edgecolor='black', linewidth=0.5)\n", + "ax.set_ylabel('New Expansion (GW)')\n", + "ax.set_title('Grid Expansion Above Existing')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(categories_exp)\n", + "ax.legend()\n", + "\n", + "# (c) Top 10 AC line expansion differences\n", + "common_lines = lines_ref.index.intersection(lines_dsr.index)\n", + "line_diff = (lines_dsr.loc[common_lines, 'expansion'] - lines_ref.loc[common_lines, 'expansion']) / 1e3 # GW\n", + "top_changes = line_diff.abs().nlargest(15)\n", + "top_diffs = line_diff.loc[top_changes.index].sort_values()\n", + "colors = ['#27ae60' if v < 0 else '#e74c3c' for v in top_diffs.values]\n", + "\n", + "ax = axes[2]\n", + "# Shorten names for readability\n", + "short_names = [f'{n[:20]}...' if len(n) > 20 else n for n in top_diffs.index]\n", + "ax.barh(range(len(top_diffs)), top_diffs.values, color=colors, edgecolor='black', linewidth=0.5)\n", + "ax.set_yticks(range(len(top_diffs)))\n", + "ax.set_yticklabels(short_names, fontsize=8)\n", + "ax.axvline(0, color='black', linewidth=0.8)\n", + "ax.set_xlabel('Expansion Difference (GW)\\ngreen = DSR reduces need')\n", + "ax.set_title('Top 15 Line Expansion Changes')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "summary-header", + "metadata": {}, + "source": [ + "## 9. Summary" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "summary", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "======================================================================\n", + "INDUSTRY DSR IMPACT SUMMARY\n", + "======================================================================\n", + " Metric Reference (no DSR) DSR v3\n", + " System Cost (B EUR/year) 617.18 613.33\n", + " Average LV Price (EUR/MWh) 112.12 111.52\n", + " Renewable Curtailment (TWh) 1.02 0.75\n", + " DSR Capacity Built (MWh) N/A 60668\n", + " DSR Energy Shifted (TWh) N/A 10.32\n", + " DSR Investment (M EUR/year) N/A 0.30\n", + "System Cost Savings (B EUR/year) N/A 3.85\n", + "\n", + "Conclusion: DSR reduces system cost, lowers prices, and cuts curtailment.\n", + "The optimizer rationally builds DSR where the arbitrage value exceeds costs.\n" + ] + } + ], + "source": [ + "# Summary table\n", + "dsr_stores = n_dsr.stores[n_dsr.stores.carrier == 'industry dsr']\n", + "ch_links = n_dsr.links[n_dsr.links.carrier == 'industry dsr charge']\n", + "dch_links = n_dsr.links[n_dsr.links.carrier == 'industry dsr discharge']\n", + "\n", + "re_carriers = ['solar', 'onwind', 'offwind-ac', 'offwind-dc', 'offwind-float']\n", + "curt = {}\n", + "for label, n_ in [('Reference', n_ref), ('DSR v3', n_dsr)]:\n", + " re = n_.generators[n_.generators.carrier.isin(re_carriers)]\n", + " pot = (n_.generators_t.p_max_pu[re.index] * re.p_nom_opt).sum().sum()\n", + " act = n_.generators_t.p[re.index].sum().sum()\n", + " curt[label] = (pot - act) / 1e6\n", + "\n", + "summary = pd.DataFrame({\n", + " 'Metric': [\n", + " 'System Cost (B EUR/year)',\n", + " 'Average LV Price (EUR/MWh)',\n", + " 'Renewable Curtailment (TWh)',\n", + " 'DSR Capacity Built (MWh)',\n", + " 'DSR Energy Shifted (TWh)',\n", + " 'DSR Investment (M EUR/year)',\n", + " 'System Cost Savings (B EUR/year)',\n", + " ],\n", + " 'Reference (no DSR)': [\n", + " f'{n_ref.objective/1e9:.2f}',\n", + " f'{avg_ref:.2f}',\n", + " f'{curt[\"Reference\"]:.2f}',\n", + " 'N/A',\n", + " 'N/A',\n", + " 'N/A',\n", + " 'N/A',\n", + " ],\n", + " 'DSR v3': [\n", + " f'{n_dsr.objective/1e9:.2f}',\n", + " f'{avg_dsr:.2f}',\n", + " f'{curt[\"DSR v3\"]:.2f}',\n", + " f'{dsr_stores.e_nom_opt.sum():.0f}',\n", + " f'{n_dsr.links_t.p0[ch_links.index].sum().sum()/1e6:.2f}',\n", + " f'{(dsr_stores.e_nom_opt * dsr_stores.capital_cost).sum()/1e6:.2f}',\n", + " f'{(n_ref.objective - n_dsr.objective)/1e9:.2f}',\n", + " ],\n", + "})\n", + "\n", + "print('\\n' + '='*70)\n", + "print('INDUSTRY DSR IMPACT SUMMARY')\n", + "print('='*70)\n", + "print(summary.to_string(index=False))\n", + "print('\\nConclusion: DSR reduces system cost, lowers prices, and cuts curtailment.')\n", + "print('The optimizer rationally builds DSR where the arbitrage value exceeds costs.')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "pypsa-eur", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/DSR_V3_README.md b/DSR_V3_README.md new file mode 100644 index 0000000000..72615554a8 --- /dev/null +++ b/DSR_V3_README.md @@ -0,0 +1,338 @@ +# DSR v3: Optional DSR with Economic Costs + +## Overview + +This branch (`industry-dsr-v3-optional`) implements **economically optional DSR** that allows the optimizer to decide whether building DSR capacity is cost-effective. + +**Worktree location**: `~/.cursor/worktrees/pypsa-eurelectric__WSL__Ubuntu_/dsr-v3` + +--- + +## Key Changes from v2 + +### 1. **DSR Capacity is Now Extendable** ✅ + +**Before (v2)**: +```python +e_nom=e_nom, # Fixed capacity - always built +# No e_nom_extendable +# No capital_cost +``` + +**After (v3)**: +```python +e_nom=0.0, # Start with 0 +e_nom_extendable=True, # Let optimizer decide! +e_nom_max=e_nom, # Use calculated capacity as upper limit +capital_cost=store_capital_cost, # Add economic cost +``` + +**Impact**: Optimizer can now choose whether to build DSR based on cost-benefit analysis. + +--- + +### 2. **Added Economic Parameters** 💰 + +New config parameters in `config/config.yaml`: + +```yaml +industry: + dsr: + # DSR ECONOMIC PARAMETERS (NEW in v3) + store_capital_cost: 30.0 # EUR/MWh/year (energy capacity) + link_capital_cost: 0.0 # EUR/MW/year (power capacity) + charge_efficiency: 0.98 # 2% loss per direction + discharge_efficiency: 0.98 + # Net roundtrip: 96.04% +``` + +**Rationale**: +- **30 EUR/MWh/year**: Conservative estimate for industrial DSR + - Control systems, sensors, scheduling software + - Process modifications if needed + - Amortized over lifetime +- **2% efficiency loss**: Represents opportunity costs of production scheduling +- **Link cost = 0**: Links are logical connections, minimal physical infrastructure + +--- + +### 3. **Relaxed Checkpoint Frequency** ⏰ + +**Before (v2)**: +- Checkpoints at **6am AND 6pm** (twice daily) +- Only **12-hour shifting windows** +- 728 checkpoints per year + +**After (v3)**: +- Checkpoints at **midnight only** (once daily) +- **24-hour shifting windows** +- 365 checkpoints per year + +**Example**: +```yaml +"Iron & steel industry|Scrap-EAF": [0] # Daily checkpoint at midnight +# Instead of [6, 18] +``` + +**Benefits**: +- Better captures day/night price arbitrage +- More flexibility for load shifting +- Still ensures daily production completion +- Fewer forced cycling events + +--- + +### 4. **Added Efficiency Losses** 📉 + +Links now have realistic efficiency parameters: + +```python +n.add("Link", charge_links, + efficiency=0.98) # 2% loss when charging + +n.add("Link", discharge_links, + efficiency=0.98) # 2% loss when discharging +``` + +**Roundtrip efficiency**: 0.98 × 0.98 = **96.04%** + +This models the **opportunity costs** of production scheduling flexibility. + +--- + +## How It Works + +### Economic Optimization + +The model now solves: + +``` +Minimize: system_cost + DSR_capital_cost + efficiency_losses + +Subject to: + - All normal constraints (generation, transmission, etc.) + - DSR checkpoints (must return to 0 daily at midnight) + - DSR capacity limits: 0 ≤ e_nom_opt ≤ e_nom_max +``` + +**Decision**: +- If `arbitrage_value > (capital_cost + cycling_costs)` → Build DSR +- If `arbitrage_value < costs` → Build zero or minimal DSR +- Optimizer chooses optimal capacity between 0 and maximum + +--- + +### Checkpoint Philosophy + +**V3 maintains production discipline** while adding economic optionality: + +1. **When DSR is built**: Checkpoints ensure daily production completion +2. **Economic optionality**: DSR is only built if cost-effective +3. **Operational flexibility**: 24-hour windows allow better arbitrage + +**Key insight**: Hard checkpoints are OK because they represent **physical production constraints**. The issue wasn't checkpoints themselves, but that v2 **forced building** DSR capacity regardless of economics. + +--- + +## Expected Results + +### Scenario A: DSR is Economically Viable + +If price volatility justifies DSR costs: + +- ✅ **Lower system costs** (DSR provides arbitrage value > its costs) +- ✅ **Less peaking capacity** (OCGT, CCGT) +- ✅ **Lower average prices** (reduced capacity investment) +- ✅ **Higher DSR utilization** (>10-20% average fill level) +- ✅ **Reasonable DSR capacity** (optimizer builds optimal amount) + +### Scenario B: DSR is NOT Economically Viable + +If costs exceed benefits: + +- ✅ **Zero or minimal DSR capacity** (optimizer chooses not to build) +- ✅ **Results similar to baseline** (no DSR impact) +- ✅ **This is OK!** Confirms DSR isn't cost-effective for these parameters + +### Comparison to V2 + +| Metric | V2 (Mandatory) | V3 (Optional) | +|--------|----------------|---------------| +| **DSR Capacity** | 63.62 GWh (fixed) | 0 to 63.62 GWh (optimized) | +| **System Cost Change** | +3.02 B EUR ❌ | TBD (likely reduced or neutral) | +| **Price Change** | +3.74 EUR/MWh ❌ | TBD (likely reduced or neutral) | +| **DSR Utilization** | 1.9% (forced cycling) | TBD (efficient if built) | +| **Peaking Capacity** | +50 GW OCGT ❌ | TBD (likely less increase) | +| **Checkpoints** | 728/year (12h windows) | 365/year (24h windows) | + +--- + +## Configuration File + +**Location**: `~/.cursor/worktrees/pypsa-eurelectric__WSL__Ubuntu_/dsr-v3/config/config.yaml` + +**Key settings**: +```yaml +run: + name: "EU_test_run_dsr_v3_optional" + +industry: + dsr: + enable: true + store_capital_cost: 30.0 # Can adjust for sensitivity analysis + charge_efficiency: 0.98 + discharge_efficiency: 0.98 + + restriction_time: + # All technologies: once-daily checkpoint at midnight + "Iron & steel industry|Scrap-EAF": [0] + # ... etc +``` + +--- + +## Running the Model + +### Option 1: Quick Test (If Baseline Data Exists) + +```bash +cd ~/.cursor/worktrees/pypsa-eurelectric__WSL__Ubuntu_/dsr-v3 + +# Run solve network only (if base network exists) +snakemake -call results/EU_test_run_dsr_v3_optional/networks/base_s_38___2030.nc \ + --cores all --configfile config/config.yaml +``` + +### Option 2: Full Run + +```bash +cd ~/.cursor/worktrees/pypsa-eurelectric__WSL__Ubuntu_/dsr-v3 + +# Full workflow +snakemake -call results/EU_test_run_dsr_v3_optional/networks/elec_s_38___2030.nc \ + --cores all --configfile config/config.yaml +``` + +--- + +## Parameter Sensitivity Analysis + +You can test different cost assumptions by modifying `config.yaml`: + +### Conservative (High Cost) - Tests if DSR survives high costs: +```yaml +store_capital_cost: 50.0 # EUR/MWh/year +charge_efficiency: 0.95 +discharge_efficiency: 0.95 +``` + +### Aggressive (Low Cost) - Tests maximum DSR potential: +```yaml +store_capital_cost: 10.0 # EUR/MWh/year +charge_efficiency: 0.99 +discharge_efficiency: 0.99 +``` + +### Weekly Checkpoints - Tests longer shifting windows: +```yaml +restriction_time: + "Iron & steel industry|Scrap-EAF": [0] # Monday at midnight + # And change snapshots to weekly resolution (168h windows) +``` + +--- + +## Comparison Strategy + +To validate v3 improvements, compare three runs: + +1. **Baseline** (no DSR): `~/work/pypsa-eurelectric/results/EU_test_run` +2. **V2** (mandatory DSR): `~/.cursor/worktrees/kse/results/EU_test_run_dsr` +3. **V3** (optional DSR): `~/.cursor/worktrees/dsr-v3/results/EU_test_run_dsr_v3_optional` + +**Key metrics**: +- System cost (objective value) +- DSR capacity built (e_nom_opt) +- DSR utilization (average fill %) +- Average electricity prices +- Peaking capacity (OCGT, CCGT) +- Total curtailment + +**Expected outcome**: +- If v3 builds DSR: Cost should be lower than baseline (DSR is beneficial) +- If v3 doesn't build DSR: Cost should match baseline (DSR isn't beneficial) +- Either way: v3 should NOT be worse than baseline (unlike v2) + +--- + +## Code Changes Summary + +**Modified files**: +1. `config/config.yaml`: + - Changed run name to `EU_test_run_dsr_v3_optional` + - Added `store_capital_cost`, `link_capital_cost`, efficiencies + - Relaxed checkpoints from twice-daily to once-daily + +2. `scripts/prepare_sector_network.py` (~line 5397-5448): + - Read economic parameters from config + - Set `e_nom=0.0` and `e_nom_extendable=True` + - Set `e_nom_max=e_nom` (calculated capacity as upper limit) + - Added `capital_cost` to stores + - Added `efficiency` and `capital_cost` to links + +**No changes needed**: +- `scripts/solve_network.py` (redundant constraint already removed in v2) +- `scripts/build_industry_dsr_profile.py` (checkpoint generation works as-is) + +--- + +## Debugging Tips + +If v3 still shows issues: + +1. **Check DSR capacity built**: + ```python + dsr_stores = n.stores[n.stores.carrier == 'industry dsr'] + print(f"Total capacity built: {dsr_stores.e_nom_opt.sum():.2f} MWh") + print(f"Max allowed: {dsr_stores.e_nom_max.sum():.2f} MWh") + ``` + +2. **Check capital costs are applied**: + ```python + print(f"Capital cost: {dsr_stores.capital_cost.mean():.2f} EUR/MWh/year") + ``` + +3. **Check utilization**: + ```python + fill_level = n.stores_t.e[dsr_stores.index].mean() / dsr_stores.e_nom_opt + print(f"Average fill: {fill_level.mean()*100:.1f}%") + ``` + +4. **Compare to baseline**: + - If DSR capacity ≈ 0 → DSR isn't economic, which is OK + - If DSR capacity > 0 but costs still higher → Check if checkpoint constraints too tight + +--- + +## Next Steps + +1. ✅ Config updated with v3 parameters +2. ✅ Code updated in prepare_sector_network.py +3. ⏳ **Run the model** and check results +4. ⏳ **Compare** v3 vs v2 vs baseline +5. ⏳ If needed: **Sensitivity analysis** with different cost assumptions + +--- + +## Branch Management + +- **V2 branch** (current working): `industry-dsr-v2` in `~/.cursor/worktrees/kse` + - Keep as checkpoint - this is the "working but suboptimal" version + +- **V3 branch** (improvements): `industry-dsr-v3-optional` in `~/.cursor/worktrees/dsr-v3` + - Test ground for optional DSR improvements + +- **Baseline**: `master` branch in `~/work/pypsa-eurelectric` + - Reference for comparison + +**Safe to experiment!** V2 is preserved if v3 doesn't work out. diff --git a/PyPSA_Eurelectric_plot_helper.ipynb b/PyPSA_Eurelectric_plot_helper.ipynb new file mode 100644 index 0000000000..395ef66b64 --- /dev/null +++ b/PyPSA_Eurelectric_plot_helper.ipynb @@ -0,0 +1,1978 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "header", + "metadata": { + "id": "header" + }, + "source": [ + "# PyPSA-Eurelectric Analysis\n", + "\n", + "**Works for any network** - uses `n.statistics` module which adapts to whatever components exist.\n", + "\n", + "**Imports existing functions from pypsa-eur scripts:**\n", + "- `scripts/make_summary.py` → `calculate_costs`, `calculate_capacities`, `calculate_energy_balance`, `calculate_curtailment`, `calculate_prices`, `calculate_market_values`, `calculate_metrics`, `calculate_nodal_*` (all use `n.statistics` internally)\n", + "- `scripts/plot_summary.py` → `preferred_order`\n", + "- `scripts/_helpers.py` → `rename_techs`\n", + "\n", + "**Flow visualization:** Uses PyPSA's built-in `n.plot(flow=\"mean\")` with networkx backend.\n", + "\n", + "**Outputs:** Energy mix, electricity mix, capacities, CO2, costs, curtailment, prices, flexibility, transmission (with flow maps), dispatch, market values, capacity factors - all with EU aggregate and country-by-country breakdown, exported to CSV/Excel.\n", + "\n", + "> **Note:** This notebook must be placed in the main PyPSA-Eur model directory (where `scripts/` folder exists) because it uses relative imports from `scripts/make_summary.py`, `scripts/plot_summary.py`, and `scripts/_helpers.py`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "setup", + "metadata": { + "id": "setup" + }, + "outputs": [], + "source": [ + "import sys\n", + "sys.path.insert(0, '.')\n", + "\n", + "import logging\n", + "import pypsa\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import yaml\n", + "from pathlib import Path\n", + "\n", + "# Cartopy for maps (optional)\n", + "try:\n", + " import cartopy.crs as ccrs\n", + " import cartopy.feature as cfeature\n", + " HAS_CARTOPY = True\n", + "except ImportError:\n", + " HAS_CARTOPY = False\n", + " logging.warning(\"Cartopy not installed - map plots will be skipped\")\n", + "\n", + "# Import existing functions from pypsa-eur scripts\n", + "from scripts.make_summary import (\n", + " assign_carriers, assign_locations,\n", + " calculate_costs, calculate_capacities, calculate_energy, calculate_energy_balance,\n", + " calculate_nodal_costs, calculate_nodal_capacities, calculate_nodal_energy_balance,\n", + " calculate_capacity_factors, calculate_nodal_capacity_factors,\n", + " calculate_curtailment, calculate_prices, calculate_weighted_prices,\n", + " calculate_market_values, calculate_metrics\n", + ")\n", + "from scripts.plot_summary import preferred_order, plot_costs, plot_energy, plot_balances\n", + "from scripts._helpers import rename_techs\n", + "\n", + "# Logging\n", + "logging.basicConfig(level=logging.INFO)\n", + "logger = logging.getLogger(__name__)\n", + "\n", + "# Style\n", + "sns.set_theme(\"paper\", style=\"whitegrid\")\n", + "plt.style.use(\"bmh\")\n", + "\n", + "# PyPSA statistics config\n", + "pypsa.set_option(\"params.statistics.round\", 3)\n", + "pypsa.set_option(\"params.statistics.drop_zero\", False)\n", + "pypsa.set_option(\"params.statistics.nice_names\", False)\n", + "\n", + "RESULTS_DIR = Path('results')\n", + "OUTPUT_DIR = Path('analysis_output')\n", + "OUTPUT_DIR.mkdir(exist_ok=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "load-network", + "metadata": { + "id": "load-network" + }, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# CONFIGURE NETWORK PATH HERE\n", + "# =============================================================================\n", + "# Provide the path to your solved network file (.nc format)\n", + "# Example: NETWORK_PATH = \"results/my_run/networks/elec_s_37_lv1.0__Co2L0.7-1H-T-H-B-I-A-dist1_2050.nc\"\n", + "\n", + "NETWORK_PATH = None # <-- SET YOUR NETWORK PATH HERE\n", + "\n", + "# If NETWORK_PATH is None, attempt to find the first available network in results/\n", + "if NETWORK_PATH is None:\n", + " networks_found = []\n", + " if RESULTS_DIR.exists():\n", + " for d in RESULTS_DIR.iterdir():\n", + " if d.is_dir() and (d / 'networks').exists():\n", + " for nc in (d / 'networks').glob('*.nc'):\n", + " networks_found.append(nc)\n", + " if networks_found:\n", + " NETWORK_PATH = networks_found[0]\n", + " logger.info(f\"Auto-detected network: {NETWORK_PATH}\")\n", + " else:\n", + " raise FileNotFoundError(\n", + " \"No networks found. Please set NETWORK_PATH manually, e.g.:\\n\"\n", + " \"NETWORK_PATH = 'results/my_run/networks/elec_s_37_lv1.0__Co2L0.7-1H-T-H-B-I-A-dist1_2050.nc'\"\n", + " )\n", + "else:\n", + " NETWORK_PATH = Path(NETWORK_PATH)\n", + " if not NETWORK_PATH.exists():\n", + " raise FileNotFoundError(f\"Network file not found: {NETWORK_PATH}\")\n", + "\n", + "print(f\"Using network: {NETWORK_PATH}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "select-network", + "metadata": { + "id": "select-network" + }, + "outputs": [], + "source": [ + "# Load the network\n", + "n = pypsa.Network(str(NETWORK_PATH))\n", + "\n", + "# Use existing helper functions from make_summary.py\n", + "assign_carriers(n)\n", + "assign_locations(n)\n", + "\n", + "# Load plotting config\n", + "with open('config/plotting.default.yaml', 'r') as f:\n", + " plotting_config = yaml.safe_load(f).get('plotting', {})\n", + "tech_colors = plotting_config.get('tech_colors', {})\n", + "\n", + "# Update carrier colors\n", + "n.carriers.update({\"color\": tech_colors})\n", + "mask = n.carriers.color.isna() | n.carriers.color.eq(\"\")\n", + "n.carriers[\"color\"] = n.carriers.color.mask(mask, \"lightgrey\")\n", + "\n", + "logger.info(f\"Loaded: {NETWORK_PATH}\")\n", + "print(f\"Network: {NETWORK_PATH.name}\")\n", + "print(f\"Snapshots: {len(n.snapshots)}, Buses: {len(n.buses)}\")\n", + "print(f\"Generators: {len(n.generators)}, Links: {len(n.links)}, Stores: {len(n.stores)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "helpers", + "metadata": { + "id": "helpers" + }, + "outputs": [], + "source": [ + "# Export helper\n", + "def export_df(df, name, excel_writer=None):\n", + " \"\"\"Export DataFrame to CSV and optionally to Excel sheet.\"\"\"\n", + " csv_path = OUTPUT_DIR / f\"{name}.csv\"\n", + " df.to_csv(csv_path)\n", + " logger.info(f\"Exported: {csv_path}\")\n", + " if excel_writer is not None:\n", + " df.to_excel(excel_writer, sheet_name=name[:31])\n", + " return df\n", + "\n", + "def get_country(bus):\n", + " \"\"\"Extract 2-letter country code from bus name.\"\"\"\n", + " return str(bus)[:2]\n", + "\n", + "# Colors for plotting\n", + "colors = n.carriers.set_index(\"nice_name\").color.where(lambda s: s != \"\", \"lightgrey\")\n", + "\n", + "# AC buses (needed for price calculations)\n", + "ac_buses = n.buses[n.buses.carrier == 'AC'].index\n", + "\n", + "# Renewable generators\n", + "re_carriers = ['solar', 'solar-hsat', 'onwind', 'offwind-ac', 'offwind-dc', 'offwind-float']\n", + "re_g = n.generators[n.generators.carrier.isin(re_carriers)].index\n", + "\n", + "# Flexibility link indices (battery, H2)\n", + "bc = n.links[n.links.carrier == 'battery charger'].index\n", + "bd = n.links[n.links.carrier == 'battery discharger'].index\n", + "he = n.links[n.links.carrier == 'H2 electrolysis'].index\n", + "hf = n.links[n.links.carrier == 'H2 fuel cell'].index" + ] + }, + { + "cell_type": "markdown", + "id": "abo8ee61h9", + "source": [ + "## 1. Energy Mix (All Vectors)" + ], + "metadata": { + "id": "abo8ee61h9" + } + }, + { + "cell_type": "code", + "id": "slcbhwtbtqa", + "source": [ + "# 1. ENERGY MIX - Using calculate_energy_balance from make_summary.py\n", + "energy_balance = calculate_energy_balance(n)\n", + "\n", + "# Group by bus_carrier for energy vectors\n", + "eb_by_vector = energy_balance.groupby('bus_carrier').sum() / 1e6 # TWh\n", + "eb_by_vector = eb_by_vector[eb_by_vector.abs() > 0.1]\n", + "\n", + "# Calculate relative shares\n", + "total_energy = eb_by_vector.abs().sum()\n", + "eb_shares = (eb_by_vector.abs() / total_energy * 100).round(1)\n", + "\n", + "# Create summary DataFrame\n", + "energy_mix_df = pd.DataFrame({\n", + " 'TWh': eb_by_vector.round(2),\n", + " 'Share (%)': eb_shares\n", + "}).sort_values('TWh', key=abs, ascending=False)\n", + "\n", + "print(\"=== ENERGY BY VECTOR (TWh and %) ===\")\n", + "print(energy_mix_df)\n", + "print(f\"\\nTotal Energy (absolute): {total_energy:.2f} TWh\")\n", + "\n", + "# Visualize main vectors\n", + "main_vectors = ['AC', 'low voltage', 'H2', 'gas', 'oil', 'heat']\n", + "vectors = eb_by_vector[eb_by_vector.index.isin(main_vectors)]\n", + "if len(vectors) > 0:\n", + " fig, ax = plt.subplots(figsize=(10, 6))\n", + " vectors.abs().plot.bar(ax=ax, color='steelblue')\n", + " ax.set_title('Energy by Vector (TWh)')\n", + " ax.set_ylabel('TWh')\n", + " ax.tick_params(axis='x', rotation=45)\n", + " plt.tight_layout()\n", + " plt.savefig(OUTPUT_DIR / 'energy_by_vector.png', dpi=150, bbox_inches='tight')\n", + " plt.show()" + ], + "metadata": { + "id": "slcbhwtbtqa" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "bsz2r7xh6", + "source": [ + "## 2. Electricity Mix" + ], + "metadata": { + "id": "bsz2r7xh6" + } + }, + { + "cell_type": "code", + "id": "h34wcce8tmr", + "source": [ + "# 2. ELECTRICITY MIX - Using n.statistics.supply() for proper snapshot weighting\n", + "# Filter to only electricity-delivering technologies (AC and low voltage buses)\n", + "\n", + "# Dynamically detect available electricity bus carriers in this network\n", + "desired_elec_carriers = ['AC', 'low voltage']\n", + "available_carriers = n.buses.carrier.unique()\n", + "elec_carriers = [c for c in desired_elec_carriers if c in available_carriers]\n", + "\n", + "if not elec_carriers:\n", + " print(\"No electricity bus carriers (AC, low voltage) found in network\")\n", + " supply_renamed = pd.Series(dtype=float)\n", + " elec_mix_df = pd.DataFrame()\n", + " total_supply = 0\n", + "else:\n", + " # Get supply using n.statistics (accounts for snapshot_weightings)\n", + " supply = n.statistics.supply(bus_carrier=elec_carriers) / 1e6 # TWh\n", + " supply = supply[supply.abs() > 0.1]\n", + "\n", + " # Group by carrier (supply has MultiIndex: component, carrier)\n", + " if isinstance(supply.index, pd.MultiIndex):\n", + " carrier_idx = supply.index.get_level_values('carrier')\n", + " supply_by_carrier = supply.groupby(carrier_idx).sum()\n", + " else:\n", + " supply_by_carrier = supply\n", + "\n", + " # Rename techs using existing function\n", + " supply_renamed = supply_by_carrier.groupby(supply_by_carrier.index.map(rename_techs)).sum()\n", + " supply_renamed = supply_renamed.reindex(\n", + " preferred_order.intersection(supply_renamed.index).append(\n", + " supply_renamed.index.difference(preferred_order)\n", + " )\n", + " )\n", + "\n", + " # Calculate relative shares\n", + " total_supply = supply_renamed[supply_renamed > 0].sum()\n", + " supply_shares = (supply_renamed / total_supply * 100).round(1)\n", + "\n", + " # Create summary DataFrame with TWh and %\n", + " elec_mix_df = pd.DataFrame({\n", + " 'TWh': supply_renamed.round(2),\n", + " 'Share (%)': supply_shares\n", + " })\n", + " elec_mix_df = elec_mix_df[elec_mix_df['TWh'] > 0].sort_values('TWh', ascending=False)\n", + "\n", + " print(f\"=== ELECTRICITY MIX (TWh and %) - Bus carriers: {elec_carriers} ===\")\n", + " print(elec_mix_df)\n", + " print(f\"\\nTotal Electricity Supply: {total_supply:.2f} TWh\")\n", + "\n", + "# Visualize\n", + "if len(elec_mix_df) > 0:\n", + " fig, ax = plt.subplots(figsize=(10, 8))\n", + " pos = elec_mix_df['TWh'].sort_values(ascending=True)\n", + " c = [tech_colors.get(t, 'lightgrey') for t in pos.index]\n", + " pos.plot.barh(ax=ax, color=c)\n", + " ax.set_title('Electricity Supply by Technology (TWh)')\n", + " ax.set_xlabel('TWh')\n", + " plt.tight_layout()\n", + " plt.savefig(OUTPUT_DIR / 'electricity_mix.png', dpi=150, bbox_inches='tight')\n", + " plt.show()\n", + "else:\n", + " print(\"No electricity supply data available for plotting\")" + ], + "metadata": { + "id": "h34wcce8tmr" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "mtznxf38ad", + "source": [ + "## 3. Installed Capacity (Electricity)" + ], + "metadata": { + "id": "mtznxf38ad" + } + }, + { + "cell_type": "code", + "id": "ay99mo4lhta", + "source": [ + "# 3. INSTALLED CAPACITY - Using calculate_capacities from make_summary.py\n", + "capacities = calculate_capacities(n) / 1e3 # GW\n", + "capacities = capacities[capacities > 0.01]\n", + "\n", + "# Capacities has MultiIndex (component, carrier) - extract carrier level\n", + "carrier_idx = capacities.index.get_level_values('carrier')\n", + "cap_by_carrier = capacities.groupby(carrier_idx).sum()\n", + "\n", + "# Rename and order\n", + "cap_renamed = cap_by_carrier.groupby(cap_by_carrier.index.map(rename_techs)).sum()\n", + "cap_renamed = cap_renamed.reindex(\n", + " preferred_order.intersection(cap_renamed.index).append(\n", + " cap_renamed.index.difference(preferred_order)\n", + " )\n", + ")\n", + "\n", + "# Calculate relative shares\n", + "total_cap = cap_renamed.sum()\n", + "cap_shares = (cap_renamed / total_cap * 100).round(1)\n", + "\n", + "# Create summary DataFrame\n", + "cap_df = pd.DataFrame({\n", + " 'GW': cap_renamed.round(2),\n", + " 'Share (%)': cap_shares\n", + "}).sort_values('GW', ascending=False)\n", + "\n", + "print(\"=== INSTALLED CAPACITY (GW and %) ===\")\n", + "print(cap_df)\n", + "print(f\"\\nTotal Capacity: {total_cap:.2f} GW\")\n", + "\n", + "# Visualize\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "c = [tech_colors.get(t, 'lightgrey') for t in cap_renamed.index]\n", + "cap_renamed.sort_values(ascending=True).plot.barh(ax=ax, color=c)\n", + "ax.set_title('Optimal Capacity by Technology (GW)')\n", + "ax.set_xlabel('GW')\n", + "plt.tight_layout()\n", + "plt.savefig(OUTPUT_DIR / 'installed_capacity.png', dpi=150, bbox_inches='tight')\n", + "plt.show()" + ], + "metadata": { + "id": "ay99mo4lhta" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "qujej6wfn6", + "source": [ + "## 4. CO2 Emissions (Energy Sector & Electricity)" + ], + "metadata": { + "id": "qujej6wfn6" + } + }, + { + "cell_type": "code", + "id": "ru88pfnmgr", + "source": [ + "# 4. CO2 EMISSIONS\n", + "co2_by_sector = {}\n", + "\n", + "# Electricity generation CO2\n", + "if 'co2_emissions' in n.carriers.columns:\n", + " gen_output = n.generators_t.p.sum()\n", + " gen_carriers = n.generators.carrier\n", + " gen_co2_factor = gen_carriers.map(n.carriers['co2_emissions']).fillna(0)\n", + " elec_co2 = (gen_output * gen_co2_factor).groupby(gen_carriers).sum() / 1e6 # Mt\n", + " co2_by_sector['Electricity'] = elec_co2.sum()\n", + "\n", + " print(\"=== CO2 FROM ELECTRICITY (Mt) ===\")\n", + " elec_co2_pos = elec_co2[elec_co2 > 0].sort_values(ascending=False)\n", + " print(elec_co2_pos.round(3))\n", + " print(f\"Total Electricity CO2: {elec_co2.sum():.2f} Mt\")\n", + "\n", + "# Heating CO2 (from gas boilers, etc.)\n", + "heat_carriers_co2 = ['gas boiler', 'resistive heater', 'oil boiler']\n", + "heat_links = n.links[n.links.carrier.isin(heat_carriers_co2)]\n", + "if len(heat_links) > 0:\n", + " heat_output = n.links_t.p0[heat_links.index].sum()\n", + " heat_co2_factor = heat_links.carrier.map(n.carriers['co2_emissions']).fillna(0)\n", + " heat_co2 = (heat_output * heat_co2_factor).sum() / 1e6\n", + " co2_by_sector['Heating'] = heat_co2\n", + "\n", + "# Transport CO2 (from ICE vehicles if modeled)\n", + "transport_carriers = ['ICE', 'land transport oil']\n", + "for tc in transport_carriers:\n", + " tc_loads = n.loads[n.loads.carrier == tc]\n", + " if len(tc_loads) > 0:\n", + " tc_output = n.loads_t.p_set[tc_loads.index].sum().sum()\n", + " tc_co2 = tc_output * n.carriers.loc[tc, 'co2_emissions'] / 1e6 if tc in n.carriers.index else 0\n", + " co2_by_sector['Transport'] = co2_by_sector.get('Transport', 0) + tc_co2\n", + "\n", + "# Industry CO2\n", + "ind_carriers = ['process emissions', 'industry']\n", + "for ic in ind_carriers:\n", + " ic_links = n.links[n.links.carrier.str.contains(ic, case=False, na=False)]\n", + " if len(ic_links) > 0:\n", + " co2_by_sector['Industry'] = co2_by_sector.get('Industry', 0) + n.links_t.p0[ic_links.index].sum().sum() / 1e6\n", + "\n", + "co2_sectors = pd.Series(co2_by_sector)\n", + "co2_sectors = co2_sectors[co2_sectors > 0]\n", + "\n", + "print(\"\\n=== CO2 BY ENERGY SECTOR (Mt) ===\")\n", + "print(co2_sectors.round(2))\n", + "print(f\"Total: {co2_sectors.sum():.2f} Mt\")\n", + "\n", + "# Visualization\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Electricity by technology\n", + "if 'elec_co2_pos' in dir() and len(elec_co2_pos) > 0:\n", + " c = elec_co2_pos.index.map(lambda x: n.carriers.color.get(x, 'lightgrey'))\n", + " elec_co2_pos.plot.bar(ax=axes[0], color=c)\n", + " axes[0].set_title('Electricity CO2 by Technology (Mt)')\n", + " axes[0].set_ylabel('Mt CO2')\n", + " axes[0].tick_params(axis='x', rotation=45)\n", + "\n", + "# By sector\n", + "if len(co2_sectors) > 0:\n", + " co2_sectors.plot.pie(ax=axes[1], autopct='%1.1f%%')\n", + " axes[1].set_title('CO2 by Energy Sector')\n", + " axes[1].set_ylabel('')\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(OUTPUT_DIR / 'co2_emissions.png', dpi=150, bbox_inches='tight')\n", + "plt.show()" + ], + "metadata": { + "id": "ru88pfnmgr" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "j6f1xfu5gu", + "source": [ + "## 5. System Costs (by Technology)" + ], + "metadata": { + "id": "j6f1xfu5gu" + } + }, + { + "cell_type": "code", + "id": "bya8cvwwmse", + "source": [ + "# 5. SYSTEM COSTS - Using calculate_costs from make_summary.py\n", + "costs_raw = calculate_costs(n) / 1e9 # B EUR\n", + "\n", + "# Costs has MultiIndex (cost, component, carrier) - get carrier level\n", + "# First, sum across components to get by (cost, carrier)\n", + "costs_by_cost_carrier = costs_raw.groupby(['cost', 'carrier']).sum()\n", + "\n", + "# Unstack cost level to get DataFrame with carrier index and capital/marginal columns\n", + "costs_df = costs_by_cost_carrier.unstack(level='cost').fillna(0)\n", + "costs_df['total'] = costs_df.sum(axis=1)\n", + "costs_df = costs_df[costs_df['total'] > 0.01].sort_values('total', ascending=False)\n", + "\n", + "# Rename techs (costs_df now has simple carrier index, not MultiIndex)\n", + "costs_renamed = costs_df.groupby(costs_df.index.map(rename_techs)).sum()\n", + "costs_renamed = costs_renamed.sort_values('total', ascending=False)\n", + "\n", + "print(\"=== SYSTEM COSTS BY TECHNOLOGY (bn EUR) ===\")\n", + "print(costs_renamed.round(2))\n", + "print(f\"\\nTotal System Cost: {costs_renamed['total'].sum():.2f} B EUR\")\n", + "\n", + "# Visualize by technology\n", + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "costs_renamed[['capital', 'marginal']].head(20).plot.bar(ax=ax, stacked=True, color=['steelblue', 'coral'])\n", + "ax.set_title('System Costs by Technology (B EUR)')\n", + "ax.set_ylabel('B EUR')\n", + "ax.tick_params(axis='x', rotation=45)\n", + "ax.legend(['CAPEX', 'OPEX'])\n", + "plt.tight_layout()\n", + "plt.savefig(OUTPUT_DIR / 'system_costs.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "# =============================================================================\n", + "# EXAMPLE: Grouping Technologies into Sectors\n", + "# =============================================================================\n", + "# Customize this mapping to match your analysis needs\n", + "tech_to_sector = {\n", + " # Electricity generation\n", + " 'solar': 'Electricity', 'solar-hsat': 'Electricity', 'onwind': 'Electricity',\n", + " 'offwind-ac': 'Electricity', 'offwind-dc': 'Electricity', 'offwind-float': 'Electricity',\n", + " 'CCGT': 'Electricity', 'OCGT': 'Electricity', 'nuclear': 'Electricity',\n", + " 'coal': 'Electricity', 'lignite': 'Electricity', 'oil': 'Electricity',\n", + " 'ror': 'Electricity', 'hydro': 'Electricity', 'PHS': 'Electricity',\n", + " 'biomass': 'Electricity', 'biogas': 'Electricity',\n", + " # Storage\n", + " 'battery': 'Storage', 'battery charger': 'Storage', 'battery discharger': 'Storage',\n", + " 'H2 electrolysis': 'Storage', 'H2 fuel cell': 'Storage', 'H2 Store': 'Storage',\n", + " # Heating\n", + " 'gas boiler': 'Heating', 'resistive heater': 'Heating', 'air heat pump': 'Heating',\n", + " 'ground heat pump': 'Heating', 'oil boiler': 'Heating', 'biomass boiler': 'Heating',\n", + " 'urban central heat': 'Heating', 'residential rural heat': 'Heating',\n", + " # Transport\n", + " 'EV charger': 'Transport', 'V2G': 'Transport', 'land transport oil': 'Transport',\n", + " 'BEV charger': 'Transport',\n", + " # Transmission\n", + " 'AC': 'Transmission', 'DC': 'Transmission', 'H2 pipeline': 'Transmission',\n", + " # Industry\n", + " 'H2 for industry': 'Industry', 'low-temperature heat for industry': 'Industry',\n", + "}\n", + "\n", + "# Map technologies to sectors (use 'Other' for unmapped techs)\n", + "def map_to_sector(tech):\n", + " return tech_to_sector.get(tech, 'Other')\n", + "\n", + "# Aggregate costs by sector\n", + "costs_by_sector = costs_renamed.groupby(costs_renamed.index.map(map_to_sector)).sum()\n", + "costs_by_sector = costs_by_sector.sort_values('total', ascending=False)\n", + "\n", + "print(\"\\n=== SYSTEM COSTS BY SECTOR (bn EUR) ===\")\n", + "print(costs_by_sector.round(2))\n", + "\n", + "# Visualize by sector\n", + "if len(costs_by_sector) > 0:\n", + " fig, ax = plt.subplots(figsize=(10, 6))\n", + " costs_by_sector[['capital', 'marginal']].plot.bar(ax=ax, stacked=True, color=['steelblue', 'coral'])\n", + " ax.set_title('System Costs by Sector (B EUR)')\n", + " ax.set_ylabel('B EUR')\n", + " ax.tick_params(axis='x', rotation=45)\n", + " ax.legend(['CAPEX', 'OPEX'])\n", + " plt.tight_layout()\n", + " plt.savefig(OUTPUT_DIR / 'system_costs_by_sector.png', dpi=150, bbox_inches='tight')\n", + " plt.show()" + ], + "metadata": { + "id": "bya8cvwwmse" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "sec4", + "metadata": { + "id": "sec4" + }, + "source": [ + "## 6. Curtailment" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "curtailment", + "metadata": { + "id": "curtailment" + }, + "outputs": [], + "source": [ + "# 6. CURTAILMENT - Using n.statistics.curtailment() as primary method\n", + "# The calculate_curtailment(n) function may fail if network lacks AC/low voltage generators\n", + "\n", + "# Get absolute curtailment using n.statistics (most reliable)\n", + "curt_abs = n.statistics.curtailment() / 1e6 # TWh\n", + "curt_abs = curt_abs[curt_abs > 0]\n", + "\n", + "print(\"=== CURTAILMENT (TWh) ===\")\n", + "if len(curt_abs) > 0:\n", + " print(curt_abs.round(3))\n", + " print(f\"\\nTotal Curtailment: {curt_abs.sum():.2f} TWh\")\n", + "else:\n", + " print(\"No curtailment in this network\")\n", + "\n", + "# Try to calculate relative curtailment (may not work for all networks)\n", + "print(\"\\n=== CURTAILMENT (%) ===\")\n", + "try:\n", + " curtailment_pct = calculate_curtailment(n)\n", + " curtailment_pct = curtailment_pct[curtailment_pct > 0]\n", + " if len(curtailment_pct) > 0:\n", + " print(curtailment_pct.round(2))\n", + " else:\n", + " print(\"No curtailment percentage data available\")\n", + "except Exception as e:\n", + " # calculate_curtailment requires generators with AC/low voltage bus carriers\n", + " # Fall back to manual calculation\n", + " logger.warning(f\"calculate_curtailment failed: {e}\")\n", + " print(\"Relative curtailment calculation not available for this network structure\")\n", + "\n", + " # Manual fallback: calculate for renewable generators\n", + " re_carriers_curt = ['solar', 'solar-hsat', 'onwind', 'offwind-ac', 'offwind-dc', 'offwind-float']\n", + " re_gens_curt = n.generators[n.generators.carrier.isin(re_carriers_curt)]\n", + " if len(re_gens_curt) > 0 and len(n.generators_t.p_max_pu.columns.intersection(re_gens_curt.index)) > 0:\n", + " re_idx = re_gens_curt.index.intersection(n.generators_t.p_max_pu.columns)\n", + " p_max_pot = (n.generators_t.p_max_pu[re_idx] * n.generators.loc[re_idx, 'p_nom_opt']).sum().sum()\n", + " p_actual = n.generators_t.p[re_idx].sum().sum()\n", + " if p_max_pot > 0:\n", + " curt_pct_manual = (p_max_pot - p_actual) / p_max_pot * 100\n", + " print(f\"Renewable curtailment (manual calc): {curt_pct_manual:.1f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "curt-hourly", + "metadata": { + "id": "curt-hourly" + }, + "outputs": [], + "source": [ + "# Hourly curtailment (uses re_g defined in helpers)\n", + "p_max = n.generators_t.p_max_pu[re_g] * n.generators.loc[re_g, 'p_nom_opt']\n", + "p_act = n.generators_t.p[re_g]\n", + "curt_h = (p_max - p_act).clip(lower=0).sum(axis=1) / 1e3 # GW\n", + "\n", + "pot = p_max.sum().sum() / 1e6 # TWh\n", + "act = p_act.sum().sum() / 1e6 # TWh\n", + "print(f\"RE potential: {pot:.2f} TWh, actual: {act:.2f} TWh\")\n", + "print(f\"Curtailment: {pot-act:.2f} TWh ({(pot-act)/pot*100:.1f}%)\")\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 4))\n", + "ax.fill_between(curt_h.index, curt_h.values, alpha=0.7, color='#ff6666')\n", + "ax.set_ylabel('GW')\n", + "ax.set_title('Hourly Curtailment')\n", + "plt.savefig(OUTPUT_DIR / 'curtailment_hourly.png', dpi=150, bbox_inches='tight')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "sec5", + "metadata": { + "id": "sec5" + }, + "source": [ + "## 7. Prices" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "prices", + "metadata": { + "id": "prices" + }, + "outputs": [], + "source": "# 5. PRICES - Using calculate_prices and calculate_weighted_prices from make_summary.py\navg_prices = calculate_prices(n)\nweighted_prices = calculate_weighted_prices(n)\n\nprint(\"=== AVERAGE PRICES BY CARRIER (EUR/MWh) ===\")\nprint(avg_prices.round(2))\n\nprint(\"\\n=== LOAD-WEIGHTED PRICES (EUR/MWh) ===\")\nprint(weighted_prices.round(2))\n\n# Also get metrics for price statistics\nmetrics = calculate_metrics(n)\nprint(\"\\n=== PRICE METRICS ===\")\nprice_metrics = metrics[metrics.index.str.contains('price')]\nprint(price_metrics.round(2))\n\n# Get hourly AC prices for duration curve (load-weighted average across buses)\nif len(ac_buses) > 0:\n prices_hourly = n.buses_t.marginal_price[ac_buses]\n load_ac = n.loads_t.p_set[n.loads[n.loads.bus.isin(ac_buses)].index]\n weights = load_ac.sum(axis=1)\n lw_price = (prices_hourly.multiply(weights, axis=0).sum(axis=1) / weights).fillna(prices_hourly.mean(axis=1))\nelse:\n lw_price = pd.Series(0, index=n.snapshots)\n\nprint(f\"\\nLoad-weighted electricity price (EU average): {lw_price.mean():.2f} EUR/MWh\")\n\n# === MARGINAL PRICES BY COUNTRY ===\nif len(ac_buses) > 0:\n import plotly.graph_objects as go\n \n countries = pd.Series({b: get_country(b) for b in ac_buses})\n avg_price_by_country = prices_hourly.mean().groupby(countries).mean()\n\n print(\"\\n=== MARGINAL PRICES BY COUNTRY (EUR/MWh) ===\")\n print(avg_price_by_country.sort_values(ascending=False).round(2))\n\n # Time series plot of marginal prices by country (interactive with plotly)\n price_by_country_ts = prices_hourly.T.groupby(countries).mean().T # Time series by country\n \n fig = go.Figure()\n \n for country in price_by_country_ts.columns:\n country_avg = avg_price_by_country[country]\n # Add time series\n fig.add_trace(go.Scatter(\n x=price_by_country_ts.index,\n y=price_by_country_ts[country],\n mode='lines',\n name=f'{country}',\n opacity=0.7,\n line=dict(width=1)\n ))\n # Add average line for this country\n fig.add_trace(go.Scatter(\n x=[price_by_country_ts.index[0], price_by_country_ts.index[-1]],\n y=[country_avg, country_avg],\n mode='lines',\n name=f'{country} avg: {country_avg:.1f}',\n line=dict(dash='dash', width=2),\n opacity=0.9\n ))\n \n fig.update_layout(\n title='Electricity Marginal Prices by Country (Time Series)',\n xaxis_title='Time',\n yaxis_title='Marginal Price (EUR/MWh)',\n legend=dict(x=1.02, y=1, font=dict(size=9)),\n hovermode='x unified',\n height=600,\n width=1200\n )\n \n fig.show()" + }, + { + "cell_type": "code", + "execution_count": null, + "id": "lmp-map", + "metadata": { + "id": "lmp-map" + }, + "outputs": [], + "source": [ + "# LMP Map (requires cartopy)\n", + "if HAS_CARTOPY and len(ac_buses) > 0:\n", + " avg_p = prices_hourly.mean()\n", + " bus_xy = n.buses.loc[ac_buses, ['x', 'y']].copy()\n", + " bus_xy['price'] = avg_p\n", + " bus_xy = bus_xy.dropna()\n", + "\n", + " # Use EqualEarth projection directly\n", + " fig, ax = plt.subplots(figsize=(10, 8), subplot_kw={'projection': ccrs.EqualEarth()})\n", + " bounds = plotting_config.get('map', {}).get('boundaries', [-11, 30, 34, 71])\n", + " ax.set_extent(bounds, crs=ccrs.PlateCarree())\n", + " ax.add_feature(cfeature.COASTLINE, linewidth=0.5)\n", + " ax.add_feature(cfeature.BORDERS, linewidth=0.3, linestyle=':')\n", + " ax.add_feature(cfeature.LAND, facecolor='whitesmoke')\n", + "\n", + " sc = ax.scatter(bus_xy['x'], bus_xy['y'], c=bus_xy['price'], s=50, cmap='Spectral_r',\n", + " transform=ccrs.PlateCarree(), edgecolor='k', linewidth=0.3, zorder=10)\n", + " plt.colorbar(sc, ax=ax, label='EUR/MWh', shrink=0.7)\n", + " ax.set_title('Average Nodal Prices (LMP Map)')\n", + " plt.savefig(OUTPUT_DIR / 'lmp_map.png', dpi=150, bbox_inches='tight')\n", + " plt.show()\n", + "else:\n", + " logger.info(\"Skipping LMP map (cartopy not available or no AC buses)\")" + ] + }, + { + "cell_type": "code", + "id": "1v7ndan1toe", + "source": [ + "# 5b. PRICE DURATION CURVE\n", + "price_sorted = lw_price.sort_values(ascending=False).reset_index(drop=True)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Duration curve\n", + "axes[0].plot(price_sorted.values, 'b-', lw=1.5)\n", + "axes[0].axhline(lw_price.mean(), color='red', linestyle='--', label=f'Mean: {lw_price.mean():.1f}')\n", + "axes[0].axhline(lw_price.median(), color='green', linestyle='--', label=f'Median: {lw_price.median():.1f}')\n", + "axes[0].set_xlabel('Hours (sorted)')\n", + "axes[0].set_ylabel('EUR/MWh')\n", + "axes[0].set_title('Price Duration Curve')\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Histogram\n", + "axes[1].hist(lw_price.values, bins=50, color='steelblue', edgecolor='white', alpha=0.7)\n", + "axes[1].axvline(lw_price.mean(), color='red', linestyle='--', lw=2, label=f'Mean: {lw_price.mean():.1f}')\n", + "axes[1].set_xlabel('EUR/MWh')\n", + "axes[1].set_ylabel('Hours')\n", + "axes[1].set_title('Price Distribution')\n", + "axes[1].legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(OUTPUT_DIR / 'price_duration.png', dpi=150, bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "# Price statistics\n", + "print(\"=== WHOLESALE PRICE STATISTICS ===\")\n", + "print(f\"Mean: {lw_price.mean():.2f} EUR/MWh\")\n", + "print(f\"Median: {lw_price.median():.2f} EUR/MWh\")\n", + "print(f\"Std Dev: {lw_price.std():.2f} EUR/MWh\")\n", + "print(f\"Min: {lw_price.min():.2f} EUR/MWh\")\n", + "print(f\"Max: {lw_price.max():.2f} EUR/MWh\")\n", + "print(f\"Hours < 0: {(lw_price < 0).sum()} ({(lw_price < 0).mean()*100:.1f}%)\")\n", + "print(f\"Hours > 100: {(lw_price > 100).sum()} ({(lw_price > 100).mean()*100:.1f}%)\")" + ], + "metadata": { + "id": "1v7ndan1toe" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "sec6", + "metadata": { + "id": "sec6" + }, + "source": [ + "## 8. Marginal Technology" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "marginal-tech", + "metadata": { + "id": "marginal-tech" + }, + "outputs": [], + "source": [ + "# 6. MARGINAL TECHNOLOGY - Identifies price-setting technology hour by hour\n", + "if len(ac_buses) > 0:\n", + " avg_price = prices_hourly.mean(axis=1)\n", + "else:\n", + " avg_price = pd.Series(0, index=n.snapshots)\n", + "\n", + "mc = n.generators.marginal_cost\n", + "carrier = n.generators.carrier\n", + "\n", + "marg = []\n", + "for t in n.snapshots:\n", + " p = avg_price[t]\n", + " out = n.generators_t.p.loc[t]\n", + " active = out[out > 0.1].index\n", + " if len(active) == 0:\n", + " marg.append('none')\n", + " else:\n", + " marg.append(carrier[(mc[active] - p).abs().idxmin()])\n", + "\n", + "marg = pd.Series(marg, index=n.snapshots)\n", + "print(\"=== HOURS BY PRICE-SETTING TECHNOLOGY ===\")\n", + "print(marg.value_counts())\n", + "\n", + "gas_h = marg.isin(['CCGT', 'OCGT']).sum()\n", + "fossil_h = marg.isin(['CCGT', 'OCGT', 'coal', 'lignite', 'oil']).sum()\n", + "print(f\"\\nGas setting price: {gas_h} h ({gas_h/len(marg)*100:.1f}%)\")\n", + "print(f\"Fossil setting price: {fossil_h} h ({fossil_h/len(marg)*100:.1f}%)\")" + ] + }, + { + "cell_type": "markdown", + "id": "sec7", + "metadata": { + "id": "sec7" + }, + "source": [ + "## 9. Flexibility & Storage" + ] + }, + { + "cell_type": "code", + "id": "oo8i59zrlg", + "source": [ + "# 7a. STORAGE CAPACITY AND ENERGY PROVIDED\n", + "# Uses bc, bd, he, hf defined in helpers cell\n", + "storage_data = []\n", + "\n", + "# Storage units\n", + "if len(n.storage_units) > 0:\n", + " for carrier in n.storage_units.carrier.unique():\n", + " su = n.storage_units[n.storage_units.carrier == carrier]\n", + " p = n.storage_units_t.p[su.index]\n", + " storage_data.append({\n", + " 'Technology': carrier,\n", + " 'Power_GW': su.p_nom_opt.sum() / 1e3,\n", + " 'Energy_GWh': (su.max_hours * su.p_nom_opt).sum() / 1e3,\n", + " 'Discharged_TWh': p.clip(lower=0).sum().sum() / 1e6,\n", + " 'Charged_TWh': (-p).clip(lower=0).sum().sum() / 1e6\n", + " })\n", + "\n", + "# Battery stores\n", + "batt_stores = n.stores[n.stores.carrier == 'battery']\n", + "if len(batt_stores) > 0:\n", + " storage_data.append({\n", + " 'Technology': 'Battery',\n", + " 'Power_GW': n.links.loc[bd, 'p_nom_opt'].sum() / 1e3 if len(bd) > 0 else 0,\n", + " 'Energy_GWh': batt_stores.e_nom_opt.sum() / 1e3,\n", + " 'Discharged_TWh': n.links_t.p0[bd].sum().sum() / 1e6 if len(bd) > 0 else 0,\n", + " 'Charged_TWh': n.links_t.p0[bc].sum().sum() / 1e6 if len(bc) > 0 else 0\n", + " })\n", + "\n", + "# H2 storage\n", + "h2_stores = n.stores[n.stores.carrier.isin(['H2', 'H2 Store'])]\n", + "if len(h2_stores) > 0:\n", + " storage_data.append({\n", + " 'Technology': 'H2 Storage',\n", + " 'Power_GW': n.links.loc[he, 'p_nom_opt'].sum() / 1e3 if len(he) > 0 else 0,\n", + " 'Energy_GWh': h2_stores.e_nom_opt.sum() / 1e3,\n", + " 'Discharged_TWh': n.links_t.p0[hf].sum().sum() / 1e6 if len(hf) > 0 else 0,\n", + " 'Charged_TWh': n.links_t.p0[he].sum().sum() / 1e6 if len(he) > 0 else 0\n", + " })\n", + "\n", + "storage_df = pd.DataFrame(storage_data)\n", + "if len(storage_df) > 0:\n", + " storage_df['Duration_h'] = storage_df['Energy_GWh'] / storage_df['Power_GW'].replace(0, np.nan)\n", + " storage_df['Cycles'] = storage_df['Discharged_TWh'] * 1e3 / storage_df['Energy_GWh'].replace(0, np.nan)\n", + "\n", + " print(\"=== STORAGE CAPACITY AND ENERGY ===\")\n", + " print(storage_df.round(2))\n", + "\n", + " # Visualization\n", + " fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + " storage_df.set_index('Technology')['Power_GW'].plot.bar(ax=axes[0], color='steelblue')\n", + " axes[0].set_title('Power Capacity (GW)')\n", + " axes[0].set_ylabel('GW')\n", + " axes[0].tick_params(axis='x', rotation=45)\n", + "\n", + " storage_df.set_index('Technology')['Energy_GWh'].plot.bar(ax=axes[1], color='coral')\n", + " axes[1].set_title('Energy Capacity (GWh)')\n", + " axes[1].set_ylabel('GWh')\n", + " axes[1].tick_params(axis='x', rotation=45)\n", + "\n", + " storage_df.set_index('Technology')['Discharged_TWh'].plot.bar(ax=axes[2], color='green')\n", + " axes[2].set_title('Energy Provided (TWh)')\n", + " axes[2].set_ylabel('TWh')\n", + " axes[2].tick_params(axis='x', rotation=45)\n", + "\n", + " plt.tight_layout()\n", + " plt.savefig(OUTPUT_DIR / 'storage.png', dpi=150, bbox_inches='tight')\n", + " plt.show()\n", + "else:\n", + " print(\"No storage found in network\")" + ], + "metadata": { + "id": "oo8i59zrlg" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "flexibility", + "metadata": { + "id": "flexibility" + }, + "outputs": [], + "source": [ + "# 7. FLEXIBILITY - Detailed breakdown (upward, downward, total)\n", + "# Uses bc, bd, he, hf defined in helpers cell\n", + "hours = len(n.snapshots)\n", + "flex_data = []\n", + "\n", + "# Storage units (PHS, hydro)\n", + "if len(n.storage_units) > 0:\n", + " for carrier in n.storage_units.carrier.unique():\n", + " su = n.storage_units[n.storage_units.carrier == carrier]\n", + " p = n.storage_units_t.p[su.index]\n", + " flex_data.append({\n", + " 'Technology': carrier,\n", + " 'Capacity_GW': su.p_nom_opt.sum() / 1e3,\n", + " 'Upward_TWh': p.clip(lower=0).sum().sum() / 1e6,\n", + " 'Downward_TWh': (-p).clip(lower=0).sum().sum() / 1e6\n", + " })\n", + "\n", + "# Battery (uses bd, bc from helpers)\n", + "if len(bc) > 0:\n", + " flex_data.append({\n", + " 'Technology': 'Battery',\n", + " 'Capacity_GW': n.links.loc[bd, 'p_nom_opt'].sum() / 1e3,\n", + " 'Upward_TWh': n.links_t.p0[bd].sum().sum() / 1e6,\n", + " 'Downward_TWh': n.links_t.p0[bc].sum().sum() / 1e6\n", + " })\n", + "\n", + "# H2 electrolysis/fuel cell (uses he, hf from helpers)\n", + "if len(he) > 0:\n", + " flex_data.append({\n", + " 'Technology': 'H2 System',\n", + " 'Capacity_GW': n.links.loc[hf, 'p_nom_opt'].sum() / 1e3 if len(hf) > 0 else 0,\n", + " 'Upward_TWh': n.links_t.p0[hf].sum().sum() / 1e6 if len(hf) > 0 else 0,\n", + " 'Downward_TWh': n.links_t.p0[he].sum().sum() / 1e6\n", + " })\n", + "\n", + "# DSM / V2G\n", + "v2g = n.links[n.links.carrier == 'V2G'].index\n", + "if len(v2g) > 0:\n", + " flex_data.append({\n", + " 'Technology': 'V2G',\n", + " 'Capacity_GW': n.links.loc[v2g, 'p_nom_opt'].sum() / 1e3,\n", + " 'Upward_TWh': n.links_t.p0[v2g].sum().sum() / 1e6,\n", + " 'Downward_TWh': 0\n", + " })\n", + "\n", + "flex_df = pd.DataFrame(flex_data)\n", + "if len(flex_df) > 0:\n", + " flex_df['Total_TWh'] = flex_df['Upward_TWh'] + flex_df['Downward_TWh']\n", + " flex_df['Available_TWh'] = flex_df['Capacity_GW'] * hours / 1e3\n", + " flex_df['Utilization_%'] = (flex_df['Total_TWh'] / flex_df['Available_TWh'] * 100).fillna(0)\n", + "\n", + " print(\"=== FLEXIBILITY BY TECHNOLOGY ===\")\n", + " print(flex_df.round(2))\n", + "\n", + " tot_cap = flex_df['Capacity_GW'].sum()\n", + " tot_up = flex_df['Upward_TWh'].sum()\n", + " tot_down = flex_df['Downward_TWh'].sum()\n", + " tot_avail = tot_cap * hours / 1e3\n", + " tot_util = (tot_up + tot_down) / tot_avail * 100 if tot_avail > 0 else 0\n", + "\n", + " print(f\"\\n=== TOTALS ===\")\n", + " print(f\"Flexibility Capacity: {tot_cap:.2f} GW\")\n", + " print(f\"Upward Flexibility: {tot_up:.2f} TWh\")\n", + " print(f\"Downward Flexibility: {tot_down:.2f} TWh\")\n", + " print(f\"Total Flexibility: {tot_up + tot_down:.2f} TWh\")\n", + " print(f\"Utilization Rate: {tot_util:.1f}%\")\n", + "\n", + " # Curtailment vs Flexibility comparison (if curt_h is defined)\n", + " if 'curt_h' in dir():\n", + " total_curt_twh = curt_h.sum() / 1e3\n", + " total_flex_twh = flex_df['Total_TWh'].sum()\n", + " print(f\"\\n=== CURTAILMENT vs FLEXIBILITY ===\")\n", + " print(f\"Total Curtailment: {total_curt_twh:.2f} TWh\")\n", + " print(f\"Total Flexibility Used: {total_flex_twh:.2f} TWh\")\n", + " print(f\"Ratio (Curt/Flex): {total_curt_twh/total_flex_twh:.2f}\" if total_flex_twh > 0 else \"\")\n", + "\n", + " # Visualization\n", + " fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + " # Capacity\n", + " flex_df.set_index('Technology')['Capacity_GW'].plot.bar(ax=axes[0], color='steelblue')\n", + " axes[0].set_title('Flexibility Capacity (GW)')\n", + " axes[0].set_ylabel('GW')\n", + " axes[0].tick_params(axis='x', rotation=45)\n", + "\n", + " # Up/Down\n", + " flex_df.set_index('Technology')[['Upward_TWh', 'Downward_TWh']].plot.bar(ax=axes[1], color=['green', 'orange'])\n", + " axes[1].set_title('Flexibility Provided (TWh)')\n", + " axes[1].set_ylabel('TWh')\n", + " axes[1].tick_params(axis='x', rotation=45)\n", + " axes[1].legend(['Upward', 'Downward'])\n", + "\n", + " # Utilization\n", + " flex_df.set_index('Technology')['Utilization_%'].plot.bar(ax=axes[2], color='purple')\n", + " axes[2].set_title('Utilization Rate (%)')\n", + " axes[2].set_ylabel('%')\n", + " axes[2].tick_params(axis='x', rotation=45)\n", + "\n", + " plt.tight_layout()\n", + " plt.savefig(OUTPUT_DIR / 'flexibility.png', dpi=150, bbox_inches='tight')\n", + " plt.show()\n", + "else:\n", + " flex_df = pd.DataFrame()\n", + " print(\"No flexibility assets found in network\")" + ] + }, + { + "cell_type": "markdown", + "id": "sec8", + "metadata": { + "id": "sec8" + }, + "source": [ + "## 10. Transmission, Distribution & Unmet Demand" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "transmission", + "metadata": { + "id": "transmission" + }, + "outputs": [], + "source": [ + "# 10. TRANSMISSION - Using n.statistics.transmission\n", + "tx = n.statistics.transmission(groupby=False)\n", + "print(\"=== Transmission (TWh) ===\")\n", + "print((tx / 1e6).round(2))\n", + "\n", + "# Cross-border capacity\n", + "lines = n.lines[['bus0', 'bus1', 's_nom_opt']].copy()\n", + "lines['c0'] = lines['bus0'].apply(get_country)\n", + "lines['c1'] = lines['bus1'].apply(get_country)\n", + "lines['GW'] = lines['s_nom_opt'] / 1e3\n", + "cross = lines[lines['c0'] != lines['c1']]\n", + "cross['pair'] = cross.apply(lambda x: tuple(sorted([x['c0'], x['c1']])), axis=1)\n", + "print(\"\\n=== Cross-border AC Capacity (GW) ===\")\n", + "print(cross.groupby('pair')['GW'].sum().sort_values(ascending=False).head(10).round(2))\n", + "\n", + "# DC links cross-border\n", + "dc_links = n.links[n.links.carrier == 'DC']\n", + "if len(dc_links) > 0:\n", + " dc = dc_links[['bus0', 'bus1', 'p_nom_opt']].copy()\n", + " dc['c0'] = dc['bus0'].apply(get_country)\n", + " dc['c1'] = dc['bus1'].apply(get_country)\n", + " dc['GW'] = dc['p_nom_opt'] / 1e3\n", + " dc_cross = dc[dc['c0'] != dc['c1']]\n", + " if len(dc_cross) > 0:\n", + " dc_cross['pair'] = dc_cross.apply(lambda x: tuple(sorted([x['c0'], x['c1']])), axis=1)\n", + " print(\"\\n=== Cross-border DC Capacity (GW) ===\")\n", + " print(dc_cross.groupby('pair')['GW'].sum().sort_values(ascending=False).head(10).round(2))" + ] + }, + { + "cell_type": "code", + "id": "5r6qcf0zwu2", + "source": [ + "# 10a. POWER FLOW MAP - Using PyPSA's n.plot() with line_flow/link_flow parameters\n", + "# Based on scripts/plot_balance_map.py approach\n", + "\n", + "if HAS_CARTOPY and len(ac_buses) > 0 and len(n.lines) > 0:\n", + " # Get transmission flows using n.statistics\n", + " flow = n.statistics.transmission(groupby=False, bus_carrier='AC')\n", + "\n", + " # Handle reversed flows\n", + " if not flow.empty:\n", + " flow_reversed_mask = flow.index.get_level_values(1).str.contains(\"reversed\")\n", + " flow_reversed = flow[flow_reversed_mask].rename(lambda x: x.replace(\"-reversed\", \"\"))\n", + " flow = flow[~flow_reversed_mask].subtract(flow_reversed, fill_value=0)\n", + "\n", + " # Extract line and link flows\n", + " line_flow = flow.get(\"Line\", pd.Series()) / 1e6 # TWh for scaling\n", + " link_flow = flow.get(\"Link\", pd.Series()) / 1e6 # TWh\n", + "\n", + " # Line/link widths based on capacity\n", + " line_widths = (n.lines.s_nom_opt / n.lines.s_nom_opt.max()).clip(lower=0.1) * 2\n", + "\n", + " dc_links_idx = n.links[n.links.carrier == 'DC'].index\n", + " link_widths = pd.Series(0.0, index=n.links.index)\n", + " if len(dc_links_idx) > 0:\n", + " max_dc = n.links.loc[dc_links_idx, 'p_nom_opt'].max()\n", + " if max_dc > 0:\n", + " link_widths.loc[dc_links_idx] = (n.links.loc[dc_links_idx, 'p_nom_opt'] / max_dc).clip(lower=0.1) * 2\n", + "\n", + " # Bus sizes - ONLY for AC buses, scaled properly\n", + " gen_by_bus = n.generators_t.p.sum().groupby(n.generators.bus).sum()\n", + " bus_sizes = pd.Series(0.0, index=n.buses.index)\n", + " ac_gen_buses = gen_by_bus.index.intersection(ac_buses)\n", + " if len(ac_gen_buses) > 0:\n", + " max_gen = gen_by_bus[ac_gen_buses].max()\n", + " if max_gen > 0:\n", + " bus_sizes.loc[ac_gen_buses] = (gen_by_bus[ac_gen_buses] / max_gen).clip(lower=0.05) * 500\n", + "\n", + " # Line colors based on flow magnitude (for colorbar)\n", + " line_flow_abs = line_flow.abs()\n", + " if len(line_flow_abs) > 0 and line_flow_abs.max() > 0:\n", + " line_colors = line_flow_abs\n", + " else:\n", + " line_colors = 'darkblue'\n", + "\n", + " # Create figure with proper projection\n", + " fig, ax = plt.subplots(figsize=(12, 10), subplot_kw={'projection': ccrs.EqualEarth()})\n", + "\n", + " # Set boundaries\n", + " bounds = plotting_config.get('map', {}).get('boundaries', [-11, 32, 34, 72])\n", + "\n", + " # Plot network with line colors based on flow\n", + " collection = n.plot(\n", + " ax=ax,\n", + " bus_sizes=bus_sizes * 0.002,\n", + " bus_colors='coral',\n", + " line_widths=line_widths,\n", + " line_colors=line_colors,\n", + " link_widths=link_widths,\n", + " link_colors='purple',\n", + " line_flow=line_flow.abs() * 2 if len(line_flow) > 0 else None,\n", + " link_flow=link_flow.reindex(n.links.index).fillna(0).abs() * 2 if len(link_flow) > 0 else None,\n", + " margin=0.2,\n", + " geomap=True,\n", + " geomap_colors={\"border\": \"grey\", \"coastline\": \"grey\", \"land\": \"whitesmoke\", \"ocean\": \"lightblue\"},\n", + " boundaries=bounds,\n", + " )\n", + "\n", + " # Add colorbar for line flow\n", + " if isinstance(line_colors, pd.Series) and len(line_colors) > 0:\n", + " # Get the line collection from the plot (usually index 2)\n", + " if hasattr(collection, '__iter__') and len(collection) > 2:\n", + " sm = plt.cm.ScalarMappable(\n", + " cmap='viridis',\n", + " norm=plt.Normalize(vmin=0, vmax=line_flow_abs.max())\n", + " )\n", + " sm.set_array([])\n", + " cbar = fig.colorbar(sm, ax=ax, orientation='horizontal', pad=0.05, shrink=0.6, aspect=30)\n", + " cbar.set_label('Transmission Flow (TWh)', fontsize=10)\n", + "\n", + " ax.set_title('Power Network: Transmission Capacity & Flow')\n", + " plt.savefig(OUTPUT_DIR / 'power_flow_map.png', dpi=150, bbox_inches='tight')\n", + " plt.show()\n", + "\n", + " # Net power flow between countries\n", + " print(\"\\n=== NET POWER FLOW BETWEEN COUNTRIES (TWh) ===\")\n", + " flow_matrix = {}\n", + "\n", + " for line in n.lines.index:\n", + " c0 = get_country(n.lines.loc[line, 'bus0'])\n", + " c1 = get_country(n.lines.loc[line, 'bus1'])\n", + " if c0 != c1:\n", + " pair = (c0, c1)\n", + " flow_twh = n.lines_t.p0[line].sum() / 1e6 if line in n.lines_t.p0.columns else 0\n", + " flow_matrix[pair] = flow_matrix.get(pair, 0) + flow_twh\n", + "\n", + " for link in dc_links_idx:\n", + " c0 = get_country(n.links.loc[link, 'bus0'])\n", + " c1 = get_country(n.links.loc[link, 'bus1'])\n", + " if c0 != c1:\n", + " pair = (c0, c1)\n", + " flow_twh = n.links_t.p0[link].sum() / 1e6 if link in n.links_t.p0.columns else 0\n", + " flow_matrix[pair] = flow_matrix.get(pair, 0) + flow_twh\n", + "\n", + " flow_series = pd.Series(flow_matrix).sort_values(key=abs, ascending=False)\n", + " print(flow_series.head(15).round(2))\n", + "\n", + "else:\n", + " logger.info(\"Skipping power flow map (cartopy not available, no AC buses, or no lines)\")" + ], + "metadata": { + "id": "5r6qcf0zwu2" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "p2vzreg6ouj", + "source": [ + "# 8b. UNMET DEMAND / LOAD SHEDDING\n", + "# Check for load shedding generators or unserved energy\n", + "load_shed_carriers = ['load', 'load shedding', 'unserved']\n", + "load_shed = n.generators[n.generators.carrier.str.contains('|'.join(load_shed_carriers), case=False, na=False)]\n", + "\n", + "unmet_demand = 0\n", + "if len(load_shed) > 0:\n", + " unmet_demand = n.generators_t.p[load_shed.index].sum().sum() / 1e6 # TWh\n", + "\n", + "# Also check for slack variables in constraints\n", + "total_load = n.loads_t.p_set.sum().sum() / 1e6\n", + "total_supply = n.generators_t.p.sum().sum() / 1e6\n", + "\n", + "print(\"=== UNMET DEMAND ===\")\n", + "print(f\"Total Load: {total_load:.2f} TWh\")\n", + "print(f\"Total Supply: {total_supply:.2f} TWh\")\n", + "print(f\"Load Shedding: {unmet_demand:.2f} TWh\")\n", + "print(f\"Unmet Demand Rate: {unmet_demand/total_load*100:.3f}%\")" + ], + "metadata": { + "id": "p2vzreg6ouj" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "lb77u5dnk1", + "source": [ + "# 8c. DISTRIBUTION GRID CAPACITY\n", + "# In PyPSA-Eur, distribution is modeled as links connecting low voltage to medium/high voltage\n", + "dist_carriers = ['electricity distribution grid', 'distribution', 'low voltage']\n", + "dist_links = n.links[n.links.carrier.str.contains('|'.join(dist_carriers), case=False, na=False)]\n", + "\n", + "if len(dist_links) > 0:\n", + " dist_cap = dist_links.p_nom_opt.sum() / 1e3 # GW\n", + " dist_flow = n.links_t.p0[dist_links.index].abs().sum().sum() / 1e6 # TWh\n", + "\n", + " dist_by_country = pd.DataFrame({\n", + " 'capacity_GW': dist_links.p_nom_opt / 1e3,\n", + " 'bus': dist_links.bus0\n", + " })\n", + " dist_by_country['country'] = dist_by_country['bus'].apply(get_country)\n", + " dist_country = dist_by_country.groupby('country')['capacity_GW'].sum()\n", + "\n", + " print(\"=== DISTRIBUTION GRID ===\")\n", + " print(f\"Total Distribution Capacity: {dist_cap:.2f} GW\")\n", + " print(f\"Distribution Flow: {dist_flow:.2f} TWh\")\n", + " print(\"\\nBy Country (GW):\")\n", + " print(dist_country.sort_values(ascending=False).round(2))\n", + "else:\n", + " # Estimate from low-voltage connected assets\n", + " lv_buses = n.buses[n.buses.carrier.str.contains('low', case=False, na=False)].index\n", + " if len(lv_buses) > 0:\n", + " lv_gens = n.generators[n.generators.bus.isin(lv_buses)]\n", + " lv_loads = n.loads[n.loads.bus.isin(lv_buses)]\n", + " est_dist = (lv_gens.p_nom_opt.sum() + n.loads_t.p_set[lv_loads.index].max().sum()) / 1e3\n", + " print(f\"Estimated Distribution Need: {est_dist:.2f} GW\")\n", + " else:\n", + " print(\"No explicit distribution grid modeled\")" + ], + "metadata": { + "id": "lb77u5dnk1" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "sec9", + "metadata": { + "id": "sec9" + }, + "source": [ + "## 11. Dispatch & Day Example" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dispatch", + "metadata": { + "id": "dispatch" + }, + "outputs": [], + "source": [ + "disp = n.generators_t.p.copy()\n", + "disp.columns = n.generators.carrier.values\n", + "disp = disp.T.groupby(level=0).sum().T / 1e3\n", + "load = n.loads_t.p_set.sum(axis=1) / 1e3\n", + "\n", + "# Week\n", + "wk = min(167, len(n.snapshots)-1)\n", + "wd = disp.iloc[:wk+1]\n", + "wl = load.iloc[:wk+1]\n", + "\n", + "order = ['nuclear', 'lignite', 'coal', 'biomass', 'ror', 'hydro', 'solar', 'solar-hsat',\n", + " 'onwind', 'offwind-ac', 'offwind-dc', 'offwind-float', 'CCGT', 'OCGT', 'oil']\n", + "cols = [c for c in order if c in wd.columns and wd[c].sum() > 0]\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 5))\n", + "c = n.carriers.color.reindex(cols).fillna('lightgrey')\n", + "wd[cols].plot.area(ax=ax, stacked=True, color=c.values, alpha=0.8, linewidth=0)\n", + "ax.plot(wl.index, wl.values, 'k-', lw=2, label='Load')\n", + "ax.set_ylabel('GW')\n", + "ax.set_title('Weekly Dispatch')\n", + "ax.legend(bbox_to_anchor=(1.02, 1), loc='upper left')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "id": "tomuf9ws26", + "source": [ + "# 9b. DAY EXAMPLE - Load with flexibility contribution\n", + "# Uses bc, bd, re_g defined in helpers cell\n", + "# Select a representative day (high RE, mid-year)\n", + "day_start = min(24 * 180, len(n.snapshots) - 24) # ~July\n", + "day_slice = slice(day_start, day_start + 24)\n", + "\n", + "load_day = n.loads_t.p_set.sum(axis=1).iloc[day_slice] / 1e3 # GW\n", + "\n", + "# Flexibility contribution\n", + "flex_up_day = pd.Series(0.0, index=load_day.index)\n", + "flex_down_day = pd.Series(0.0, index=load_day.index)\n", + "\n", + "# Storage units\n", + "if len(n.storage_units) > 0:\n", + " su_p = n.storage_units_t.p.iloc[day_slice].sum(axis=1) / 1e3\n", + " flex_up_day = flex_up_day + su_p.clip(lower=0)\n", + " flex_down_day = flex_down_day + (-su_p).clip(lower=0)\n", + "\n", + "# Battery (uses bc, bd from helpers)\n", + "if len(bc) > 0 and len(bd) > 0:\n", + " batt_out = n.links_t.p0[bd].iloc[day_slice].sum(axis=1) / 1e3\n", + " batt_in = n.links_t.p0[bc].iloc[day_slice].sum(axis=1) / 1e3\n", + " flex_up_day = flex_up_day + batt_out\n", + " flex_down_day = flex_down_day + batt_in\n", + "\n", + "# Net load (load - RE generation) - uses re_g from helpers\n", + "re_gen_day = n.generators_t.p[re_g].iloc[day_slice].sum(axis=1) / 1e3 if len(re_g) > 0 else pd.Series(0, index=load_day.index)\n", + "net_load_day = load_day - re_gen_day\n", + "\n", + "fig, axes = plt.subplots(2, 1, figsize=(14, 8), sharex=True)\n", + "\n", + "# Top: Load and net load\n", + "axes[0].plot(range(24), load_day.values, 'b-', lw=2, label='Total Load')\n", + "axes[0].plot(range(24), net_load_day.values, 'r--', lw=2, label='Net Load (Load - RE)')\n", + "axes[0].fill_between(range(24), load_day.values, net_load_day.values, alpha=0.3, color='green', label='RE Generation')\n", + "axes[0].set_ylabel('GW')\n", + "axes[0].set_title(f'Day Example: Load Profile (Day {day_start//24})')\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom: Flexibility contribution\n", + "axes[1].bar(range(24), flex_up_day.values, color='green', alpha=0.7, label='Flexibility Discharge')\n", + "axes[1].bar(range(24), -flex_down_day.values, color='orange', alpha=0.7, label='Flexibility Charge')\n", + "axes[1].axhline(0, color='black', linewidth=0.5)\n", + "axes[1].set_xlabel('Hour')\n", + "axes[1].set_ylabel('GW')\n", + "axes[1].set_title('Flexibility Contribution')\n", + "axes[1].legend(loc='upper right')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(OUTPUT_DIR / 'day_example.png', dpi=150, bbox_inches='tight')\n", + "plt.show()" + ], + "metadata": { + "id": "tomuf9ws26" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "sec10", + "metadata": { + "id": "sec10" + }, + "source": [ + "## 12. Market Value & Capacity Factors" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "market-value", + "metadata": { + "id": "market-value" + }, + "outputs": [], + "source": [ + "# 10. MARKET VALUE - Using calculate_market_values from make_summary.py\n", + "market_values = calculate_market_values(n)\n", + "\n", + "print(\"=== MARKET VALUES (EUR/MWh) ===\")\n", + "print(market_values.round(2))" + ] + }, + { + "cell_type": "code", + "id": "zh6nix7omte", + "source": [ + "# 10b. CAPACITY FACTORS - Using calculate_capacity_factors from make_summary.py\n", + "cf = calculate_capacity_factors(n)\n", + "\n", + "print(\"=== CAPACITY FACTORS ===\")\n", + "print((cf * 100).round(1))\n", + "\n", + "# Visualize RE capacity factors\n", + "re_techs = ['solar', 'onwind', 'offwind', 'ror', 'hydro']\n", + "re_cf = cf[[c for c in cf.index if any(r in str(c).lower() for r in re_techs)]]\n", + "if len(re_cf) > 0:\n", + " fig, ax = plt.subplots(figsize=(10, 6))\n", + " (re_cf * 100).sort_values().plot.barh(ax=ax, color='steelblue')\n", + " ax.set_xlabel('Capacity Factor (%)')\n", + " ax.set_title('Renewable Capacity Factors')\n", + " plt.tight_layout()\n", + " plt.savefig(OUTPUT_DIR / 'capacity_factors.png', dpi=150, bbox_inches='tight')\n", + " plt.show()" + ], + "metadata": { + "id": "zh6nix7omte" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "sec11", + "metadata": { + "id": "sec11" + }, + "source": [ + "## 13. Summary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "summary", + "metadata": { + "id": "summary" + }, + "outputs": [], + "source": [ + "# SUMMARY - using values calculated throughout the notebook\n", + "supply = n.statistics.supply().drop(\"Line\", errors='ignore')\n", + "gen_twh = supply.sum() / 1e6\n", + "\n", + "# Curtailment total\n", + "curt_total = n.statistics.curtailment().sum() / 1e6\n", + "\n", + "# Flexibility total (if flex_df was created)\n", + "flex_cap_total = 0\n", + "flex_util = 0\n", + "if 'flex_df' in dir() and len(flex_df) > 0:\n", + " flex_cap_total = flex_df['Capacity_GW'].sum()\n", + " flex_util = flex_df['Utilization_%'].mean()\n", + "\n", + "print(\"=\"*50)\n", + "print(\"SUMMARY\")\n", + "print(\"=\"*50)\n", + "print(f\"Network: {NETWORK_PATH.name}\")\n", + "print(f\"Period: {n.snapshots[0]} to {n.snapshots[-1]}\")\n", + "print(f\"Generation: {gen_twh:.2f} TWh\")\n", + "print(f\"System Cost: {n.objective/1e9:.2f} B EUR\")\n", + "print(f\"Avg Price: {lw_price.mean():.2f} EUR/MWh\")\n", + "print(f\"Curtailment: {curt_total:.2f} TWh\")\n", + "print(f\"Flexibility: {flex_cap_total:.2f} GW ({flex_util:.1f}% util)\")" + ] + }, + { + "cell_type": "markdown", + "id": "bvq4e6z878s", + "source": [ + "## 14. Country-by-Country Breakdown & Export" + ], + "metadata": { + "id": "bvq4e6z878s" + } + }, + { + "cell_type": "code", + "id": "ss1ot6p7oy", + "source": [ + "# 14. COUNTRY-BY-COUNTRY BREAKDOWN - Using calculate_nodal_* functions\n", + "\n", + "# Create Excel writer\n", + "excel_path = OUTPUT_DIR / f\"analysis_{NETWORK_PATH.stem}.xlsx\"\n", + "writer = pd.ExcelWriter(excel_path, engine='openpyxl')\n", + "\n", + "# Nodal capacities (by location)\n", + "nodal_cap = calculate_nodal_capacities(n) / 1e3 # GW\n", + "nodal_cap = nodal_cap[nodal_cap > 0.01]\n", + "export_df(nodal_cap.unstack().fillna(0), 'capacities_by_location', writer)\n", + "\n", + "# Nodal energy balance\n", + "nodal_eb = calculate_nodal_energy_balance(n) / 1e6 # TWh\n", + "export_df(nodal_eb.unstack().fillna(0), 'energy_by_location', writer)\n", + "\n", + "# Nodal costs\n", + "nodal_costs = calculate_nodal_costs(n) / 1e9 # B EUR\n", + "export_df(nodal_costs.unstack().fillna(0), 'costs_by_location', writer)\n", + "\n", + "# Nodal capacity factors\n", + "nodal_cf = calculate_nodal_capacity_factors(n)\n", + "export_df((nodal_cf * 100).unstack().fillna(0), 'cf_by_location', writer)\n", + "\n", + "print(\"=== CAPACITIES BY LOCATION (GW) - Top 10 ===\")\n", + "print(nodal_cap.groupby('location').sum().sort_values(ascending=False).head(10).round(2))" + ], + "metadata": { + "id": "ss1ot6p7oy" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "hynct90kine", + "source": [ + "# --- Prices by country ---\n", + "ac_buses = n.buses[n.buses.carrier == 'AC'].index\n", + "if len(ac_buses) > 0:\n", + " bus_prices = n.buses_t.marginal_price[ac_buses].mean()\n", + " price_df = pd.DataFrame({\n", + " 'avg_price_EUR_MWh': bus_prices,\n", + " 'country': [get_country(b) for b in bus_prices.index]\n", + " })\n", + " prices_by_country = price_df.groupby('country')['avg_price_EUR_MWh'].mean()\n", + " export_df(prices_by_country.to_frame(), 'prices_by_country', writer)\n", + "\n", + " print(\"\\nAverage prices by country (EUR/MWh):\")\n", + " print(prices_by_country.sort_values(ascending=False).round(2))" + ], + "metadata": { + "id": "hynct90kine" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "v56rrgfxl19", + "source": [ + "# --- Load by country ---\n", + "load_df = pd.DataFrame({\n", + " 'load_TWh': n.loads_t.p_set.sum() / 1e6,\n", + " 'bus': n.loads.bus\n", + "})\n", + "load_df['country'] = load_df['bus'].apply(get_country)\n", + "load_by_country = load_df.groupby('country')['load_TWh'].sum()\n", + "export_df(load_by_country.to_frame(), 'load_by_country', writer)\n", + "\n", + "print(\"\\nLoad by country (TWh):\")\n", + "print(load_by_country.sort_values(ascending=False).round(2))" + ], + "metadata": { + "id": "v56rrgfxl19" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "97b7atw0h84", + "source": [ + "# --- Storage by country ---\n", + "stores = []\n", + "# Storage units (PHS, hydro)\n", + "if len(n.storage_units) > 0:\n", + " su = pd.DataFrame({\n", + " 'capacity_GW': n.storage_units.p_nom_opt / 1e3,\n", + " 'energy_GWh': n.storage_units.max_hours * n.storage_units.p_nom_opt / 1e3,\n", + " 'carrier': n.storage_units.carrier,\n", + " 'bus': n.storage_units.bus\n", + " })\n", + " su['country'] = su['bus'].apply(get_country)\n", + " stores.append(su)\n", + "\n", + "# Stores (battery, H2 storage)\n", + "if len(n.stores) > 0:\n", + " st = pd.DataFrame({\n", + " 'energy_GWh': n.stores.e_nom_opt / 1e3,\n", + " 'carrier': n.stores.carrier,\n", + " 'bus': n.stores.bus\n", + " })\n", + " st['country'] = st['bus'].apply(get_country)\n", + " st['capacity_GW'] = 0 # Stores don't have power capacity\n", + " stores.append(st)\n", + "\n", + "if stores:\n", + " storage_df = pd.concat(stores, ignore_index=True)\n", + " storage_by_country = storage_df.pivot_table(\n", + " values=['capacity_GW', 'energy_GWh'],\n", + " index='country',\n", + " columns='carrier',\n", + " aggfunc='sum'\n", + " ).fillna(0)\n", + " export_df(storage_by_country, 'storage_by_country', writer)\n", + " print(\"\\nStorage capacity by country:\")\n", + " print(storage_by_country.round(2))" + ], + "metadata": { + "id": "97b7atw0h84" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "gnokogph745", + "source": [ + "# --- Heating by sector/country ---\n", + "heat_carriers = ['residential rural heat', 'residential urban decentral heat',\n", + " 'services rural heat', 'services urban decentral heat',\n", + " 'urban central heat', 'low-temperature heat for industry']\n", + "heat_links = n.links[n.links.carrier.isin(heat_carriers)]\n", + "\n", + "if len(heat_links) > 0:\n", + " heat_df = pd.DataFrame({\n", + " 'heat_TWh': n.links_t.p0[heat_links.index].sum() / 1e6,\n", + " 'capacity_GW': heat_links.p_nom_opt / 1e3,\n", + " 'carrier': heat_links.carrier,\n", + " 'bus': heat_links.bus0\n", + " })\n", + " heat_df['country'] = heat_df['bus'].apply(get_country)\n", + " heat_by_country = heat_df.pivot_table(\n", + " values=['heat_TWh', 'capacity_GW'],\n", + " index='country',\n", + " columns='carrier',\n", + " aggfunc='sum'\n", + " ).fillna(0)\n", + " export_df(heat_by_country, 'heating_by_country', writer)\n", + "\n", + " # Aggregate by sector (residential, services, industry)\n", + " heat_eu = heat_df.groupby('carrier')[['heat_TWh', 'capacity_GW']].sum()\n", + " export_df(heat_eu, 'heating_eu_by_sector', writer)\n", + " print(\"\\nHeating by sector (TWh):\")\n", + " print(heat_eu['heat_TWh'].round(2))" + ], + "metadata": { + "id": "gnokogph745" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "103dbzlz2sx", + "source": [ + "# --- H2 by country/sector ---\n", + "h2_prod_carriers = ['H2 electrolysis', 'SMR', 'SMR CC']\n", + "h2_use_carriers = ['H2 fuel cell', 'H2 for industry', 'H2 for shipping',\n", + " 'Fischer-Tropsch', 'Sabatier', 'methanolisation']\n", + "\n", + "h2_links = n.links[n.links.carrier.isin(h2_prod_carriers + h2_use_carriers)]\n", + "if len(h2_links) > 0:\n", + " h2_df = pd.DataFrame({\n", + " 'flow_TWh': n.links_t.p0[h2_links.index].sum() / 1e6,\n", + " 'capacity_GW': h2_links.p_nom_opt / 1e3,\n", + " 'carrier': h2_links.carrier,\n", + " 'bus': h2_links.bus0\n", + " })\n", + " h2_df['country'] = h2_df['bus'].apply(get_country)\n", + " h2_by_country = h2_df.pivot_table(\n", + " values=['flow_TWh', 'capacity_GW'],\n", + " index='country',\n", + " columns='carrier',\n", + " aggfunc='sum'\n", + " ).fillna(0)\n", + " export_df(h2_by_country, 'h2_by_country', writer)\n", + "\n", + " h2_eu = h2_df.groupby('carrier')[['flow_TWh', 'capacity_GW']].sum()\n", + " export_df(h2_eu, 'h2_eu_by_use', writer)\n", + " print(\"\\nH2 production/use (TWh):\")\n", + " print(h2_eu['flow_TWh'].round(2))" + ], + "metadata": { + "id": "103dbzlz2sx" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "f87celi1l5", + "source": [ + "# --- CO2 emissions by country ---\n", + "# From generators with emission factors\n", + "if 'co2_emissions' in n.carriers.columns:\n", + " gen_co2 = pd.DataFrame({\n", + " 'carrier': n.generators.carrier,\n", + " 'bus': n.generators.bus,\n", + " 'generation_MWh': n.generators_t.p.sum()\n", + " })\n", + " gen_co2['country'] = gen_co2['bus'].apply(get_country)\n", + " gen_co2['co2_t_per_MWh'] = gen_co2['carrier'].map(n.carriers['co2_emissions']).fillna(0)\n", + " gen_co2['co2_Mt'] = gen_co2['generation_MWh'] * gen_co2['co2_t_per_MWh'] / 1e6\n", + "\n", + " co2_by_country = gen_co2.pivot_table(\n", + " values='co2_Mt',\n", + " index='country',\n", + " columns='carrier',\n", + " aggfunc='sum'\n", + " ).fillna(0)\n", + " export_df(co2_by_country, 'co2_by_country', writer)\n", + "\n", + " co2_eu = gen_co2.groupby('carrier')['co2_Mt'].sum()\n", + " export_df(co2_eu.to_frame(), 'co2_eu_by_carrier', writer)\n", + "\n", + " print(\"\\nCO2 emissions by country (Mt):\")\n", + " print(co2_by_country.sum(axis=1).sort_values(ascending=False).round(2))\n", + " print(f\"\\nTotal EU: {co2_by_country.sum().sum():.2f} Mt\")" + ], + "metadata": { + "id": "f87celi1l5" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "w7hlddo54b", + "source": [ + "# --- Curtailment by country ---\n", + "re_carriers = ['solar', 'solar-hsat', 'onwind', 'offwind-ac', 'offwind-dc', 'offwind-float']\n", + "re_gens = n.generators[n.generators.carrier.isin(re_carriers)]\n", + "\n", + "if len(re_gens) > 0:\n", + " p_max = n.generators_t.p_max_pu[re_gens.index] * re_gens.p_nom_opt\n", + " p_act = n.generators_t.p[re_gens.index]\n", + " curt_gen = (p_max.sum() - p_act.sum()) / 1e6 # TWh\n", + "\n", + " curt_df = pd.DataFrame({\n", + " 'curtailment_TWh': curt_gen,\n", + " 'carrier': re_gens.carrier,\n", + " 'bus': re_gens.bus\n", + " })\n", + " curt_df['country'] = curt_df['bus'].apply(get_country)\n", + " curt_by_country = curt_df.pivot_table(\n", + " values='curtailment_TWh',\n", + " index='country',\n", + " columns='carrier',\n", + " aggfunc='sum'\n", + " ).fillna(0)\n", + " export_df(curt_by_country, 'curtailment_by_country', writer)\n", + "\n", + " print(\"\\nCurtailment by country (TWh):\")\n", + " print(curt_by_country.sum(axis=1).sort_values(ascending=False).round(2))" + ], + "metadata": { + "id": "w7hlddo54b" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "id": "7miw9020h2q", + "source": [ + "# Export all summary statistics\n", + "export_df(calculate_costs(n).to_frame('value'), 'costs', writer)\n", + "export_df(calculate_capacities(n).to_frame('value'), 'capacities', writer)\n", + "export_df(calculate_energy(n).to_frame('value'), 'energy', writer)\n", + "export_df(calculate_energy_balance(n).to_frame('value'), 'energy_balance', writer)\n", + "export_df(calculate_capacity_factors(n).to_frame('value'), 'capacity_factors', writer)\n", + "export_df(calculate_curtailment(n).to_frame('value'), 'curtailment', writer)\n", + "export_df(calculate_prices(n).to_frame('value'), 'prices', writer)\n", + "export_df(calculate_weighted_prices(n).to_frame('value'), 'weighted_prices', writer)\n", + "export_df(calculate_market_values(n).to_frame('value'), 'market_values', writer)\n", + "export_df(calculate_metrics(n).to_frame('value'), 'metrics', writer)\n", + "\n", + "# Close Excel writer\n", + "writer.close()\n", + "logger.info(f\"All exports saved to: {excel_path}\")\n", + "print(f\"\\n{'='*50}\")\n", + "print(f\"EXPORTS COMPLETE\")\n", + "print(f\"{'='*50}\")\n", + "print(f\"Excel file: {excel_path}\")\n", + "print(f\"CSV files in: {OUTPUT_DIR}\")" + ], + "metadata": { + "id": "7miw9020h2q" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "id": "hp1u208d9at", + "source": [ + "## 15. Scenario Comparison (Multi-Network)" + ], + "metadata": { + "id": "hp1u208d9at" + } + }, + { + "cell_type": "code", + "id": "18lgkx01hrjh", + "source": [ + "# 15. SCENARIO COMPARISON (Electricity-focused metrics)\n", + "# =============================================================================\n", + "# To compare multiple scenarios, either:\n", + "# 1. Set NETWORK_PATH = None and let auto-discovery find networks\n", + "# 2. Or manually specify paths in scenario_paths list below\n", + "# =============================================================================\n", + "\n", + "# Collect networks for comparison\n", + "scenario_paths = []\n", + "if RESULTS_DIR.exists():\n", + " for d in RESULTS_DIR.iterdir():\n", + " if d.is_dir() and (d / 'networks').exists():\n", + " for nc in (d / 'networks').glob('*.nc'):\n", + " scenario_paths.append(nc)\n", + "scenario_paths = scenario_paths[:min(6, len(scenario_paths))] # Limit to 6\n", + "\n", + "if len(scenario_paths) > 1:\n", + " comparison = []\n", + " price_curves = {}\n", + "\n", + " # Define desired electricity carriers (will be filtered per network)\n", + " desired_elec_carriers = ['AC', 'low voltage']\n", + " re_carriers_comp = ['solar', 'solar-hsat', 'onwind', 'offwind-ac', 'offwind-dc',\n", + " 'offwind-float', 'ror', 'hydro']\n", + "\n", + " for path in scenario_paths:\n", + " net = pypsa.Network(str(path))\n", + "\n", + " # Dynamically detect available electricity bus carriers for THIS network\n", + " available_carriers = net.buses.carrier.unique()\n", + " elec_bus_carriers = [c for c in desired_elec_carriers if c in available_carriers]\n", + "\n", + " # Calculate ELECTRICITY-ONLY supply (using bus_carrier filter)\n", + " if elec_bus_carriers:\n", + " elec_supply = net.statistics.supply(bus_carrier=elec_bus_carriers)\n", + " total_elec_supply = elec_supply.sum() / 1e6 # TWh\n", + "\n", + " # RE supply (electricity only)\n", + " re_supply = 0\n", + " for carrier in re_carriers_comp:\n", + " if ('Generator', carrier) in elec_supply.index:\n", + " re_supply += elec_supply[('Generator', carrier)]\n", + " re_supply = re_supply / 1e6 # TWh\n", + "\n", + " # Curtailment (electricity)\n", + " curt = net.statistics.curtailment(bus_carrier=elec_bus_carriers).sum() / 1e6\n", + " else:\n", + " # Fallback: use all supply if no electricity carriers found\n", + " elec_supply = net.statistics.supply()\n", + " total_elec_supply = elec_supply.sum() / 1e6\n", + " re_supply = 0\n", + " curt = net.statistics.curtailment().sum() / 1e6\n", + "\n", + " # Storage/flexibility capacity (electricity-connected)\n", + " stor_cap = 0\n", + " if len(net.storage_units) > 0:\n", + " if elec_bus_carriers:\n", + " # Filter to AC-connected storage units\n", + " ac_su = net.storage_units[net.storage_units.bus.isin(\n", + " net.buses[net.buses.carrier.isin(elec_bus_carriers)].index\n", + " )]\n", + " stor_cap += ac_su.p_nom_opt.sum() / 1e3\n", + " else:\n", + " stor_cap += net.storage_units.p_nom_opt.sum() / 1e3\n", + " bc_net = net.links[net.links.carrier == 'battery discharger'].index\n", + " if len(bc_net) > 0:\n", + " stor_cap += net.links.loc[bc_net, 'p_nom_opt'].sum() / 1e3\n", + "\n", + " # Prices (AC buses only)\n", + " ac_b = net.buses[net.buses.carrier == 'AC'].index\n", + " avg_price = 0\n", + " if len(ac_b) > 0:\n", + " p = net.buses_t.marginal_price[ac_b]\n", + " avg_price = p.mean().mean()\n", + " price_curves[path.stem] = p.mean(axis=1).sort_values(ascending=False).reset_index(drop=True)\n", + "\n", + " # CO2 from electricity generation only\n", + " co2_total = 0\n", + " if 'co2_emissions' in net.carriers.columns and elec_bus_carriers:\n", + " # Filter generators connected to electricity buses\n", + " elec_buses = net.buses[net.buses.carrier.isin(elec_bus_carriers)].index\n", + " elec_gens = net.generators[net.generators.bus.isin(elec_buses)]\n", + " if len(elec_gens) > 0:\n", + " gen_out = net.generators_t.p[elec_gens.index].sum()\n", + " gen_car = elec_gens.carrier\n", + " co2_fac = gen_car.map(net.carriers['co2_emissions']).fillna(0)\n", + " co2_total = (gen_out * co2_fac).sum() / 1e6\n", + "\n", + " comparison.append({\n", + " 'scenario': path.stem,\n", + " 'elec_generation_TWh': total_elec_supply,\n", + " 'system_cost_BEUR': net.objective / 1e9,\n", + " 'elec_curtailment_TWh': curt,\n", + " 'elec_re_share_%': re_supply / total_elec_supply * 100 if total_elec_supply > 0 else 0,\n", + " 'elec_flexibility_GW': stor_cap,\n", + " 'elec_avg_price_EUR_MWh': avg_price,\n", + " 'elec_co2_Mt': co2_total,\n", + " 'capex_BEUR': net.statistics.capex().sum() / 1e9,\n", + " 'opex_BEUR': net.statistics.opex().sum() / 1e9\n", + " })\n", + "\n", + " comparison_df = pd.DataFrame(comparison).set_index('scenario')\n", + " export_df(comparison_df, 'scenario_comparison', None)\n", + "\n", + " print(\"=== SCENARIO COMPARISON (Electricity Sector) ===\")\n", + " print(comparison_df.round(2))\n", + "\n", + " # Visualization\n", + " fig, axes = plt.subplots(2, 3, figsize=(15, 10))\n", + "\n", + " comparison_df['system_cost_BEUR'].plot.bar(ax=axes[0,0], color='steelblue')\n", + " axes[0,0].set_title('System Cost (B EUR)')\n", + " axes[0,0].set_ylabel('B EUR')\n", + "\n", + " comparison_df['elec_curtailment_TWh'].plot.bar(ax=axes[0,1], color='coral')\n", + " axes[0,1].set_title('Electricity Curtailment (TWh)')\n", + " axes[0,1].set_ylabel('TWh')\n", + "\n", + " comparison_df['elec_re_share_%'].plot.bar(ax=axes[0,2], color='green')\n", + " axes[0,2].set_title('Electricity RE Share (%)')\n", + " axes[0,2].set_ylabel('%')\n", + "\n", + " comparison_df['elec_flexibility_GW'].plot.bar(ax=axes[1,0], color='purple')\n", + " axes[1,0].set_title('Electricity Flexibility (GW)')\n", + " axes[1,0].set_ylabel('GW')\n", + "\n", + " comparison_df['elec_avg_price_EUR_MWh'].plot.bar(ax=axes[1,1], color='orange')\n", + " axes[1,1].set_title('Electricity Price (EUR/MWh)')\n", + " axes[1,1].set_ylabel('EUR/MWh')\n", + "\n", + " comparison_df['elec_co2_Mt'].plot.bar(ax=axes[1,2], color='grey')\n", + " axes[1,2].set_title('Electricity CO2 (Mt)')\n", + " axes[1,2].set_ylabel('Mt')\n", + "\n", + " for ax in axes.flat:\n", + " ax.tick_params(axis='x', rotation=45)\n", + "\n", + " plt.tight_layout()\n", + " plt.savefig(OUTPUT_DIR / 'scenario_comparison.png', dpi=150, bbox_inches='tight')\n", + " plt.show()\n", + "\n", + " # Price duration curves comparison\n", + " if len(price_curves) > 1:\n", + " fig, ax = plt.subplots(figsize=(12, 6))\n", + " for name, curve in price_curves.items():\n", + " ax.plot(curve.values, label=name, lw=1.5)\n", + " ax.set_xlabel('Hours (sorted)')\n", + " ax.set_ylabel('EUR/MWh')\n", + " ax.set_title('Electricity Price Duration Curves - Scenario Comparison')\n", + " ax.legend()\n", + " ax.grid(True, alpha=0.3)\n", + " plt.savefig(OUTPUT_DIR / 'price_comparison.png', dpi=150, bbox_inches='tight')\n", + " plt.show()\n", + "else:\n", + " logger.info(\"Only one or no networks available, skipping scenario comparison\")" + ], + "metadata": { + "id": "18lgkx01hrjh" + }, + "execution_count": null, + "outputs": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "colab": { + "provenance": [] + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/Snakefile b/Snakefile index 39605031ae..11c4a2de17 100644 --- a/Snakefile +++ b/Snakefile @@ -21,6 +21,9 @@ from scripts._helpers import ( configfile: "config/config.default.yaml" configfile: "config/plotting.default.yaml" +# Config stacking: override defaults with small scenario files via CLI: +# snakemake --configfile config/config.default.yaml config/test/config.eu_38_2030_base.yaml config/test/config.dsr_v3_test.yaml +# Backward compatibility: a local config/config.yaml is auto-loaded if present. if Path("config/config.yaml").exists(): diff --git a/V3_VERIFICATION.md b/V3_VERIFICATION.md new file mode 100644 index 0000000000..03155b215f --- /dev/null +++ b/V3_VERIFICATION.md @@ -0,0 +1,167 @@ +# DSR v3 Verification Report + +## All Critical Fixes Applied ✅ + +### 1. **Redundant Constraint Removed** ✅ +**File**: `scripts/solve_network.py` line ~1528 +**Status**: FIXED - Constraint is commented out +**Impact**: Prevents ~340,000 redundant constraints, ensures fast solver convergence + +### 2. **JSON Parsing Bugs Fixed** ✅ +**Files**: +- `scripts/build_gas_network.py` line 56-65 +- `scripts/build_gas_input_locations.py` line 23-27 + +**Status**: FIXED - Conditional checks prevent geopandas auto-parsing errors +**Impact**: Prevents TypeError during gas network building + +### 3. **DSR Economic Parameters Added** ✅ +**File**: `scripts/prepare_sector_network.py` line ~5397-5448 +**Status**: IMPLEMENTED in v3 +**Changes**: +- `store_capital_cost = 30.0` EUR/MWh/year (read from config) +- `charge_efficiency = 0.98` (2% loss) +- `discharge_efficiency = 0.98` (2% loss) +- `link_capital_cost = 0.0` EUR/MW/year + +### 4. **DSR Capacity Made Extendable** ✅ +**File**: `scripts/prepare_sector_network.py` line ~5462 +**Status**: IMPLEMENTED in v3 +**Changes**: +```python +e_nom=0.0, # Start with 0 +e_nom_extendable=True, # Let optimizer choose! +e_nom_max=e_nom, # Use calculated as upper limit +capital_cost=store_capital_cost, # Add economic cost +``` + +### 5. **Checkpoints Relaxed** ✅ +**File**: `config/config.yaml` line ~203-228 +**Status**: UPDATED in v3 +**Changes**: +- Before: `[6, 18]` = twice-daily (12h windows) +- After: `[0]` = once-daily (24h windows) +- All technologies now use `[0]` for consistency + +--- + +## Configuration Summary + +### Run Settings +- **Name**: `EU_test_run_dsr_v3_optional` +- **Countries**: 33 EU countries (same as baseline) +- **Clusters**: 38 +- **Year**: 2019 (full year) +- **Resolution**: 2h +- **Planning horizon**: 2030 + +### DSR Parameters +```yaml +store_capital_cost: 30.0 # EUR/MWh/year +link_capital_cost: 0.0 # EUR/MW/year +charge_efficiency: 0.98 # 2% loss +discharge_efficiency: 0.98 # 2% loss +restriction_time: [0] # Daily checkpoint at midnight +flexibility_fraction: 0.05-0.85 # Technology-dependent +shift_hours: 2-6 # Technology-dependent +``` + +--- + +## Differences from V2 + +| Aspect | V2 (kse) | V3 (dsr-v3) | +|--------|----------|-------------| +| **Redundant constraint** | ❌ Fixed (uncommitted) | ✅ Fixed (committed) | +| **DSR capacity** | Fixed (63.62 GWh) | Extendable (0-63.62 GWh) | +| **Store capital cost** | 0.0 EUR/MWh/year | 30.0 EUR/MWh/year | +| **Link efficiency** | 1.0 (perfect) | 0.98 each direction | +| **Checkpoints** | Twice-daily (12h) | Once-daily (24h) | +| **Economic logic** | Mandatory DSR | Optional DSR | + +--- + +## Expected Behavior + +### During Model Build: +- Should see: "Using technology-specific industry DSR" +- Should see: "Industry DSR Stores added" +- Should NOT see: "Added store-link coupling constraints" (removed!) +- Should see: "Added vectorized DSR ramp constraints" (~876k constraints - this is OK) + +### During Optimization: +- Faster convergence (no redundant constraints) +- Barrier method should converge smoothly +- Presolve should be more effective + +### After Optimization: +- Check DSR capacity: `0 ≤ e_nom_opt ≤ 63.62 GWh` +- If capacity ≈ 0: DSR not economic (acceptable result) +- If capacity > 0: DSR provides value despite costs + +--- + +## Files Ready to Run + +All files are in: `~/.cursor/worktrees/pypsa-eurelectric__WSL__Ubuntu_/dsr-v3/` + +**Modified files**: +1. ✅ `config/config.yaml` - v3 parameters +2. ✅ `scripts/prepare_sector_network.py` - Extendable DSR with costs +3. ✅ `scripts/solve_network.py` - Redundant constraint removed +4. ✅ `scripts/build_gas_network.py` - JSON fix applied +5. ✅ `scripts/build_gas_input_locations.py` - JSON fix applied + +--- + +## Ready to Run! + +**Command**: +```bash +cd ~/.cursor/worktrees/pypsa-eurelectric__WSL__Ubuntu_/dsr-v3 + +snakemake -call results/EU_test_run_dsr_v3_optional/networks/base_s_38___2030.nc \ + --configfile config/config.yaml \ + --cores 8 +``` + +**Expected duration**: +- Without redundant constraint: ~60-90 minutes (similar to baseline) +- Much faster than v2's slow convergence + +--- + +## Post-Run Verification Script + +After completion, check results with: + +```bash +cd ~/.cursor/worktrees/pypsa-eurelectric__WSL__Ubuntu_/dsr-v3 + +/home/aceccato/miniconda3/envs/pypsa-eur/bin/python3 << 'EOF' +import pypsa +n = pypsa.Network("results/EU_test_run_dsr_v3_optional/networks/base_s_38___2030.nc") + +dsr_stores = n.stores[n.stores.carrier.str.contains('industry dsr', case=False, na=False)] + +print("=" * 80) +print("DSR V3 RESULTS") +print("=" * 80) +print(f"\nDSR Capacity Built: {dsr_stores.e_nom_opt.sum()/1e3:.2f} GWh") +print(f"Max Allowed: {dsr_stores.e_nom_max.sum()/1e3:.2f} GWh") +print(f"Utilization: {(dsr_stores.e_nom_opt.sum()/dsr_stores.e_nom_max.sum())*100:.1f}%") +print(f"\nObjective: {n.objective/1e9:.2f} B EUR") +print(f"Capital cost (mean): {dsr_stores.capital_cost.mean():.2f} EUR/MWh/year") + +if dsr_stores.e_nom_opt.sum() > 0: + # Check utilization + dsr_e = n.stores_t.e[dsr_stores.index] + fill_level = (dsr_e.mean() / dsr_stores.e_nom_opt).mean() + print(f"\nAverage fill level: {fill_level*100:.1f}%") + print("\n✅ DSR was built - it's economically viable!") +else: + print("\n⚠️ No DSR capacity built - not economically viable with these parameters") +EOF +``` + +All fixes verified and ready! 🚀 diff --git a/config/Dunkel_test.yaml b/config/Dunkel_test.yaml new file mode 100644 index 0000000000..80ba1d79ec --- /dev/null +++ b/config/Dunkel_test.yaml @@ -0,0 +1,131 @@ +# SPDX-FileCopyrightText: : 2017-2024 The PyPSA-Eur Authors +# +# SPDX-License-Identifier: CC0-1.0 + + + + +run: + name: "Test_2030" # Run identification for 2024 + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + + +scenario: + clusters: + - 10 + opts: + - '' + planning_horizons: + - 2030 + + +countries: ['BE'] + +snapshots: + start: "2030-01-01" + end: "2030-12-31" + + + +electricity: + co2limit_enable: true + co2limit: 100.e+6 + battery_cost_reduction: true + #base_network: osm-raw + + + powerplants_filter: DateOut >= 2023 +atlite: + default_cutout: europe-2030-sarah3-era5 + cutouts: + europe-2030-sarah3-era5: + module: [sarah3, era5] # in priority order + x: [-12., 42.] + y: [33., 72.] + time: ['2030-01-01', '2030-12-31'] + +conventional: + unit_commitment: false + dynamic_fuel_price: false + +renewable: + onwind: + cutout: europe-2030-sarah3-era5 + offwind-ac: + cutout: europe-2030-sarah3-era5 + max_depth: false + offwind-dc: + cutout: europe-2030-sarah3-era5 + max_depth: false + offwind-float: + cutout: europe-2030-sarah3-era5 + max_depth: false + min_depth: false + solar: + cutout: europe-2030-sarah3-era5 + solar-hsat: + cutout: europe-2030-sarah3-era5 + hydro: + cutout: europe-2030-sarah3-era5 + carriers: [ror, PHS, hydro] + PHS_max_hours: 6 + hydro_max_hours: "energy_capacity_totals_by_country" # one of energy_capacity_totals_by_country, estimate_by_large_installations or a float + flatten_dispatch: false + flatten_dispatch_buffer: 0.2 + clip_min_inflow: 1.0 + eia_norm_year: false + eia_correct_by_capacity: true + eia_approximate_missing: true + +load: + scaling_factor: 1.2 + fixed_year: 2023 + + + + +lines: + dynamic_line_rating: + activate: false + cutout: europe-2030-sarah3-era5 + max_line_rating: 1.3 + + + + + +plotting: + map: + boundaries: + eu_node_location: + x: -5.5 + y: 46. + costs_max: 1000 + costs_threshold: 0.0000001 + energy_max: + energy_min: + energy_threshold: 0.000001 + +solving: + solver: + name: highs + options: highs-default + + solver_options: + highs-default: + solver: ipm + run_crossover: off # skip crossover; faster & fine for LP + threads: 8 # try 6–10; don’t overcommit + parallel: on + small_matrix_value: 1e-6 + large_matrix_value: 1e9 + primal_feasibility_tolerance: 1e-5 + dual_feasibility_tolerance: 1e-5 + ipm_optimality_tolerance: 1e-4 + random_seed: 123 + + + diff --git a/config/config.default.yaml b/config/config.default.yaml index 91c873d8f6..f477fe7745 100644 --- a/config/config.default.yaml +++ b/config/config.default.yaml @@ -940,6 +940,127 @@ industry: reference_year: 2019 oil_refining_emissions: 0.013 + # Industry electricity demand-side response (DSR): virtual storage for load shifting. + # V3: economically optional DSR with technology breakdown and capital costs. + # Config keys use FfE profile names (e.g. "Iron & steel industry"), not PyPSA industry categories + # (e.g. Electric arc, Cement). See INDUSTRY_CATEGORY_TO_PROFILE in build_industrial_energy_demand_per_node.py. + dsr: + enable: false + # Capital cost for DSR stores (EUR/MWh/year of energy capacity). + # Represents investment in control systems, process modifications, scheduling software. + store_capital_cost: 5.0 + # Link capital costs (EUR/MW/year of power capacity). + link_capital_cost: 0.0 + # Roundtrip efficiency losses (fraction per link). + charge_efficiency: 0.98 + discharge_efficiency: 0.98 + # Technology breakdown: defines how each FfE profile is split into technologies. + # Only profiles listed here get technology-level DSR stores; others use profile-level. + # "auto" = calculate share from production data; numeric = fixed fraction. + technology_breakdown: + "Iron & steel industry": + "Scrap-EAF": "auto" + "H2-DRI-EAF": "auto" + "BF-BOF-CCUS": "auto" + "Aluminium-primary": "auto" + "Aluminium-secondary": "auto" + "Alumina": "auto" + "Manufacturing": 0.05 + "Non-metallic Minerals": + "Cement mills": 0.40 + "Raw mills": 0.26 + "Kiln": 0.27 + "Other": 0.07 + "Paper, Pulp and Print": + "Pulp production": 0.30 + "Paper machines": 0.50 + "Printing": 0.20 + "Non-specified (Industry)": + "Chlor-alkali": 0.10 + "Other chemicals": 0.90 + # Fraction of load that can be shifted (0..1). + # Technology-specific keys use "profile|technology" format. + flexibility_fraction: + "Iron & steel industry|Scrap-EAF": 0.85 + "Iron & steel industry|H2-DRI-EAF": 0.20 + "Iron & steel industry|BF-BOF-CCUS": 0.05 + "Iron & steel industry|Manufacturing": 0.0 + "Iron & steel industry|Aluminium-primary": 0.125 + "Iron & steel industry|Aluminium-secondary": 0.125 + "Iron & steel industry|Alumina": 0.0 + "Non-metallic Minerals|Cement mills": 0.42 + "Non-metallic Minerals|Raw mills": 0.42 + "Non-metallic Minerals|Kiln": 0.0 + "Non-metallic Minerals|Other": 0.0 + "Paper, Pulp and Print|Pulp production": 0.60 + "Paper, Pulp and Print|Paper machines": 0.0 + "Paper, Pulp and Print|Printing": 0.60 + "Non-specified (Industry)|Chlor-alkali": 0.10 + "Food and Tobacco": 0.10 + "Textile and Leather": 0.10 + "Wood and Wood Products": 0.10 + "Transport Equipment": 0.10 + "Machinery": 0.10 + # Maximum shift duration in hours. + shift_hours: + "Iron & steel industry|Scrap-EAF": 2 + "Iron & steel industry|H2-DRI-EAF": 6 + "Iron & steel industry|BF-BOF-CCUS": 1 + "Iron & steel industry|Aluminium-primary": 3 + "Iron & steel industry|Aluminium-secondary": 3 + "Iron & steel industry|Alumina": 0 + "Non-metallic Minerals|Cement mills": 4 + "Non-metallic Minerals|Raw mills": 4 + "Paper, Pulp and Print|Pulp production": 6 + "Paper, Pulp and Print|Printing": 6 + "Non-specified (Industry)|Chlor-alkali": 4 + "Food and Tobacco": 4 + "Textile and Leather": 4 + "Wood and Wood Products": 4 + "Transport Equipment": 4 + "Machinery": 4 + # Ramp rate constraints (fraction of p_nom per timestep). + # Only rigid technologies need explicit entries; flexible ones are unconstrained. + ramp_rate: + default: 0.1 + "Iron & steel industry|BF-BOF-CCUS": 0.04 + "Iron & steel industry|Aluminium-primary": 0.08 + "Iron & steel industry|Alumina": 0.06 + "Non-metallic Minerals|Kiln": 0.04 + "Non-metallic Minerals|Raw mills": 0.2 + "Non-metallic Minerals|Cement mills": 0.2 + "Paper, Pulp and Print|Paper machines": 0.1 + "Non-specified (Industry)|Chlor-alkali": 0.1 + # Checkpoint hours (0-23) at which the DSR store must be empty. + # V3: relaxed to once-daily (midnight) for 24-hour shifting windows. + restriction_time: + "Iron & steel industry|Scrap-EAF": [0] + "Iron & steel industry|H2-DRI-EAF": [0] + "Iron & steel industry|BF-BOF-CCUS": [0] + "Iron & steel industry|Aluminium-primary": [0] + "Iron & steel industry|Aluminium-secondary": [0] + "Iron & steel industry|Alumina": [0] + "Non-metallic Minerals|Cement mills": [0] + "Non-metallic Minerals|Raw mills": [0] + "Paper, Pulp and Print|Pulp production": [0] + "Paper, Pulp and Print|Printing": [0] + "Non-specified (Industry)|Chlor-alkali": [0] + "Iron & steel industry": [0] + "Non-metallic Minerals": [0] + "Paper, Pulp and Print": [0] + "Food and Tobacco": [0] + "Textile and Leather": [0] + "Wood and Wood Products": [0] + "Transport Equipment": [0] + "Machinery": [0] + restriction_value: 1.0 + # Technologies that can only REDUCE load (no upward shifting). + negative_only: + "Non-specified (Industry)|Chlor-alkali": true + # Minimum load constraint (fraction of nominal). + min_load: + "Non-specified (Industry)|Chlor-alkali": 0.70 + # docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#costs costs: @@ -1143,6 +1264,16 @@ data: source: archive version: latest +# docs in https://pypsa-eur.readthedocs.io/en/latest/configuration.html#overpass_api +overpass_api: + url: https://overpass-api.de/api/interpreter + max_tries: 5 + timeout: 600 + user_agent: + project_name: PyPSA-Eur + email: contact@pypsa.org + website: https://github.com/PyPSA/pypsa-eur + secrets: corine: '' #Add API key here if primary source is used for retrieving corine dataset after registering in https://land.copernicus.eu/user/login diff --git a/config/examples/config.industry.dsr.technology.yaml b/config/examples/config.industry.dsr.technology.yaml new file mode 100644 index 0000000000..8ef46cdb5a --- /dev/null +++ b/config/examples/config.industry.dsr.technology.yaml @@ -0,0 +1,247 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: CC0-1.0 + +# Example configuration for technology-specific industry DSR +# This extends the base industry DSR configuration with technology breakdowns +# +# IMPORTANT: When technology_breakdown is provided, DSR is ONLY applied to profiles +# that have a technology breakdown defined. Other profiles will NOT get DSR stores, +# even if they have profile-level flexibility_fraction/shift_hours defined. +# +# This config should be merged with a base config that has industry.dsr.enable: true + +industry: + dsr: + enable: true + + # Technology breakdown: defines how each FfE profile is split into technologies + # Shares must sum to 1.0 per profile + # You can define breakdowns for any profile, or leave profiles without breakdown to use profile-level flexibility + technology_breakdown: + "Iron & steel industry": + # ⚠️ IMPORTANT: "Iron & steel industry" FfE profile includes BOTH steel AND aluminium + # + # OPTION 1: Auto-calculate shares from production data (recommended) + # Set shares to "auto" and the model will calculate them from production data: + "Scrap-EAF": "auto" # Auto-calculate from "Electric arc" production + "H2-DRI-EAF": "auto" # Auto-calculate from "DRI + Electric arc" production + "BF-BOF-CCUS": "auto" # Auto-calculate from "Integrated steelworks" production + "Aluminium-primary": "auto" # Auto-calculate from "Aluminium - primary production" production + "Aluminium-secondary": "auto" # Auto-calculate from "Aluminium - secondary production" production + "Alumina": "auto" # Auto-calculate from "Alumina production" production + "Manufacturing": 0.05 # Fixed share for inflexible manufacturing (not in production data) + # + # OPTION 2: Manual shares (if you want to override auto-calculation) + # Calculate the actual shares from your production data: + # - Steel load = sum of (Electric arc, DRI + Electric arc, Integrated steelworks) electricity + # - Aluminium load = sum of (Aluminium - primary, Aluminium - secondary, Alumina) electricity + # - Total = Steel load + Aluminium load + # - Steel share = Steel load / Total + # - Aluminium share = Aluminium load / Total + # + # Example manual shares: + # "Scrap-EAF": 0.25 + # "H2-DRI-EAF": 0.40 + # "BF-BOF-CCUS": 0.10 + # "Aluminium-primary": 0.10 + # "Aluminium-secondary": 0.08 + # "Alumina": 0.02 + # "Manufacturing": 0.05 + # Total should sum to 1.0 + "Non-metallic Minerals": + "Cement mills": 0.40 # 40% of cement load is cement mills (grinding, 4h shiftable) + "Raw mills": 0.26 # 26% is raw mills (grinding, 4h shiftable) + "Kiln": 0.27 # 27% is kiln (NOT flexible, continuous 24h operation) + "Other": 0.07 # 7% other processes (not flexible) + "Paper, Pulp and Print": + "Pulp production": 0.30 # 30% of load is pulp production (flexible) + "Paper machines": 0.50 # 50% of load is paper machines (NOT flexible) + "Printing": 0.20 # 20% of load is printing (flexible) + "Non-specified (Industry)": + # ⚠️ IMPORTANT: "Non-specified (Industry)" includes MANY sectors: + # - HVC (High Value Chemicals) + # - HVC (mechanical recycling) + # - HVC (chemical recycling) + # - Ammonia + # - Chlorine (chlor-alkali) + # - Methanol + # - Other chemicals + # - Pharmaceutical products etc. + # - Other non-ferrous metals + # - Other industrial sectors + # + # The shares below represent the FRACTION of total "Non-specified (Industry)" load + # that each technology represents. They MUST sum to 1.0. + # + # You MUST calculate the actual shares from your production data: + # Example for chlor-alkali: + # chlorine_electricity = chlorine_production_today × MWh_elec_per_tCl + # total_non_specified_electricity = sum of all "Non-specified (Industry)" electricity + # chlor_alkali_share = chlorine_electricity / total_non_specified_electricity + # + # The values below are EXAMPLES - adjust based on your actual data! + "Chlor-alkali": 0.10 # EXAMPLE: Adjust based on actual chlorine production share! + "Other chemicals": 0.90 # EXAMPLE: Should include HVC, Ammonia, Methanol, etc. + + # Technology-specific flexibility_fraction + # Format: "profile|technology": fraction + # For profiles WITH technology_breakdown: use "profile|technology" keys + # For profiles WITHOUT technology_breakdown: use "profile" keys (profile-level) + flexibility_fraction: + # Iron & steel industry technologies (has technology_breakdown) + # Based on EU context study (2.1 MtCS/yr plants), EU-derived price scenarios: + # - EAF: highly flexible (>80%) - differentiated approach recommended + # - H2-DRI: depends on electrolyser sizing + # - BF-BOF: minimal flexibility (expected phase-out) + # Steel technologies: + "Iron & steel industry|Scrap-EAF": 0.85 # >80% flexible (study recommendation), 1.5-2.5h shift + "Iron & steel industry|H2-DRI-EAF": 0.20 # 20% flexible (depends on electrolyser sizing), 4-8h shift + # ✓ NOTE: H2-DRI-EAF flexibility is now coupled to H2 storage capacity via constraints. + # The constraint limits DRI load shifting based on available H2 storage: + # |DRI_DSR_dispatch| ≤ H2_storage_capacity / (H2_DRI / elec_DRI) + # Where H2_DRI = 1.7 MWh_H2/t_steel and elec_DRI = 0.322 MWh_el/t_steel + # This means: |DRI_DSR_dispatch| ≤ H2_storage_capacity / 5.28 + # If H2 storage is extendable, the optimizer can build more storage to enable more flexibility. + # The flexibility_fraction (0.20) sets the maximum potential, but actual flexibility + # will be limited by H2 storage capacity at each node. + "Iron & steel industry|BF-BOF-CCUS": 0.05 # 5% flexible (minimal, expected phase-out), waste heat recovery only + "Iron & steel industry|Manufacturing": 0.0 # Not flexible + # Aluminium technologies: + # Conservative scenario (pot on/off): 10-15% flexible, 2-4h shift + # Optimistic scenario (voltage control): 5-10% flexible, real-time capable + # Note: 34.2% mentioned in literature is economic flexibility, not physical. We model physical limits. + # Values below use conservative scenario. For optimistic, use 0.075 (7.5%) and consider shorter shift_hours (1-2h). + "Iron & steel industry|Aluminium-primary": 0.125 # Conservative: 12.5% flexible (midpoint of 10-15%) + "Iron & steel industry|Aluminium-secondary": 0.125 # Conservative: 12.5% flexible (same as primary) + "Iron & steel industry|Alumina": 0.0 # Alumina production: not flexible (continuous process) + # Non-metallic Minerals technologies (has technology_breakdown) + # Note: flexible_share 0.28 applies to grinding loads only (cement + raw mills = 66% of total) + # This means ~42% of cement mills load and ~42% of raw mills load is flexible (0.28/0.66 ≈ 0.42) + "Non-metallic Minerals|Cement mills": 0.42 # ~42% of cement mills load is flexible (4h shiftable) + "Non-metallic Minerals|Raw mills": 0.42 # ~42% of raw mills load is flexible (4h shiftable) + "Non-metallic Minerals|Kiln": 0.0 # Not flexible (continuous 24h operation) + "Non-metallic Minerals|Other": 0.0 # Not flexible + # Paper, Pulp and Print technologies (has technology_breakdown) + # flexible_share 0.30 applies to flexible processes (pulp + printing = 50% of total) + # This means ~60% of pulp production and ~60% of printing load is flexible (0.30/0.50 = 0.60) + "Paper, Pulp and Print|Pulp production": 0.60 # ~60% of pulp production load is flexible (0.30/0.50) + "Paper, Pulp and Print|Paper machines": 0.0 # NOT flexible (~50% of total load) + "Paper, Pulp and Print|Printing": 0.60 # ~60% of printing load is flexible (0.30/0.50) + # Non-specified (Industry) technologies (has technology_breakdown) + # IMPORTANT: The technology_breakdown shares below represent the FRACTION of the total + # "Non-specified (Industry)" load that each technology represents (must sum to 1.0). + # "Non-specified (Industry)" includes: HVC, Ammonia, Chlorine, Methanol, Other chemicals, + # Pharmaceutical products, Other non-ferrous metals, Other industrial sectors. + # You need to calculate the actual share of chlor-alkali based on your production data. + # Example calculation: chlorine_electricity = chlorine_production × MWh_elec_per_tCl + # chlor_alkali_share = chlorine_electricity / total_non_specified_electricity + # Chlor-alkali flexibility parameters (from literature): + # - flexible_share: 0.10 (10% flexible, negative only - load shedding, not upward) + # - min_load: 0.70 (hard operational constraint from column stability) + # - Applies to ~30% of Cl? (EDC/PVC route only) + # - Response time: hours (day-ahead compatible based on 24h simulation) + "Non-specified (Industry)|Chlor-alkali": 0.10 # 10% flexible, negative only (adjust share based on your data!) + # Other profiles WITHOUT technology_breakdown (use profile-level) + "Food and Tobacco": 0.10 + "Non-specified (Industry)": 0.10 + "Textile and Leather": 0.10 + "Wood and Wood Products": 0.10 + "Transport Equipment": 0.10 + "Machinery": 0.10 + + # Technology-specific shift_hours + # Format: "profile|technology": hours + # For profiles WITH technology_breakdown: use "profile|technology" keys + # For profiles WITHOUT technology_breakdown: use "profile" keys (profile-level) + shift_hours: + # Iron & steel industry technologies (has technology_breakdown) + # Steel technologies: + "Iron & steel industry|Scrap-EAF": 2 # 1.5-2.5h shift window + "Iron & steel industry|H2-DRI-EAF": 6 # 4-8h shift window (with H2 storage) + "Iron & steel industry|BF-BOF-CCUS": 1 # 1h shift window + # Aluminium technologies: + "Iron & steel industry|Aluminium-primary": 3 # Conservative: 3h shift window (midpoint of 2-4h) + "Iron & steel industry|Aluminium-secondary": 3 # Conservative: 3h shift window (same as primary) + "Iron & steel industry|Alumina": 0 # Alumina: not flexible (no shift hours) + # Non-metallic Minerals technologies (has technology_breakdown) + "Non-metallic Minerals|Cement mills": 4 # 4h shiftable (max hours can be off) + "Non-metallic Minerals|Raw mills": 4 # 4h shiftable (max hours can be off) + # Paper, Pulp and Print technologies (has technology_breakdown) + # shift_time: 24h, delay_time: 3-6h optimal (diminishing returns beyond 6h) + "Paper, Pulp and Print|Pulp production": 6 # 6h shift window (optimal delay_time) + "Paper, Pulp and Print|Printing": 6 # 6h shift window (optimal delay_time) + # Non-specified (Industry) technologies (has technology_breakdown) + "Non-specified (Industry)|Chlor-alkali": 4 # 4h shift window (example) + # Other profiles WITHOUT technology_breakdown (use profile-level) + "Food and Tobacco": 4 + "Non-specified (Industry)": 4 + "Textile and Leather": 4 + "Wood and Wood Products": 4 + "Transport Equipment": 4 + "Machinery": 4 + + # Technology-specific restriction_time (checkpoint hours) + # Format: "profile|technology": [hours] for technologies WITH breakdown + # Format: "profile": [hours] for profiles WITHOUT breakdown + # If not specified for a technology, inherits from profile-level + restriction_time: + # Iron & steel industry technologies (has technology_breakdown) + # Steel technologies: + "Iron & steel industry|Scrap-EAF": [6, 18] # Checkpoints at 6:00 and 18:00 + "Iron & steel industry|H2-DRI-EAF": [0, 12] # Checkpoints at midnight and noon + "Iron & steel industry|BF-BOF-CCUS": [6, 18] # Same as Scrap-EAF + # Aluminium technologies: + # Conservative (pot on/off): daily checkpoints to balance load + # Optimistic (voltage control): could use shorter/no checkpoints for real-time capability + "Iron & steel industry|Aluminium-primary": [0] # Daily checkpoint at midnight (conservative scenario) + "Iron & steel industry|Aluminium-secondary": [0] # Daily checkpoint at midnight (same as primary) + "Iron & steel industry|Alumina": [0] # Alumina: checkpoint (though not flexible) + # Non-metallic Minerals technologies (has technology_breakdown) + # Daily energy balance: checkpoints ensure energy-neutral shifting within 24h + "Non-metallic Minerals|Cement mills": [0] # Daily checkpoint at midnight (24h cycle) + "Non-metallic Minerals|Raw mills": [0] # Daily checkpoint at midnight (24h cycle) + # Paper, Pulp and Print technologies (has technology_breakdown) + # shift_time: 24h, so daily checkpoint ensures energy-neutral shifting + "Paper, Pulp and Print|Pulp production": [0] # Daily checkpoint at midnight (24h cycle) + "Paper, Pulp and Print|Printing": [0] # Daily checkpoint at midnight (24h cycle) + # Non-specified (Industry) technologies (has technology_breakdown) + "Non-specified (Industry)|Chlor-alkali": [0] # Daily checkpoint at midnight (24h cycle) + # Profile-level (used as fallback for technologies without specific restriction_time) + # Also used for profiles WITHOUT technology_breakdown + "Iron & steel industry": [6, 18] # Fallback for technologies without specific times + "Non-metallic Minerals": [0, 12] # Fallback for technologies without specific times + "Paper, Pulp and Print": [0] # Fallback for technologies without specific times (24h cycle) + "Non-specified (Industry)": [0] # Fallback for technologies without specific times + "Food and Tobacco": [8, 20] # Profile-level (no technology_breakdown) + "Textile and Leather": [8, 20] # Profile-level (no technology_breakdown) + "Wood and Wood Products": [8, 20] # Profile-level (no technology_breakdown) + "Transport Equipment": [6, 18] # Profile-level (no technology_breakdown) + "Machinery": [6, 18] # Profile-level (no technology_breakdown) + + restriction_value: 1.0 + + # Negative-only DSR: technologies that can only REDUCE load (discharge), not increase it (charge) + # Format: "profile|technology": true/false + # When true: e_max_pu = 0 (can't charge), e_min_pu = -max_reduction (can discharge) + # Note: With e_cyclic=True, the store must return to 0 at checkpoint hours, which may require + # allowing e_max_pu > 0 at checkpoints to enable return to zero state + negative_only: + "Non-specified (Industry)|Chlor-alkali": true # Chlor-alkali: can only reduce load, not increase + # All other technologies default to false (bidirectional: can charge and discharge) + + # Minimum load constraint: hard operational constraint (fraction of baseline load) + # Format: "profile|technology": fraction (e.g., 0.70 = 70% minimum load) + # Example: min_load: 0.70 means load can only be reduced to 70% of baseline (max reduction = 30%) + # The actual maximum reduction is min(flexibility_fraction, 1.0 - min_load) + # Example: If flexibility_fraction = 0.10 and min_load = 0.70: + # - max_reduction = min(0.10, 1.0 - 0.70) = min(0.10, 0.30) = 0.10 (10% reduction) + # - Load can be reduced from 100% to 90% (not to 70%, because flexibility is only 10%) + # Example: If flexibility_fraction = 0.50 and min_load = 0.70: + # - max_reduction = min(0.50, 1.0 - 0.70) = min(0.50, 0.30) = 0.30 (30% reduction) + # - Load can be reduced from 100% to 70% (limited by min_load constraint) + min_load: + "Non-specified (Industry)|Chlor-alkali": 0.70 # Chlor-alkali: hard operational constraint (column stability) + # Load can only be reduced to 70% of baseline (max reduction = 30%) + # Applies to ~30% of Cl? (EDC/PVC route only) + # All other technologies default to None (no min_load constraint) diff --git a/config/plotting.default.yaml b/config/plotting.default.yaml index 9497e25c30..d177f1f5c4 100644 --- a/config/plotting.default.yaml +++ b/config/plotting.default.yaml @@ -436,6 +436,7 @@ plotting: heat: '#cc1f1f' heat vent: '#aa3344' heat demand: '#cc1f1f' + heat dsm: '#cc1f1f' rural heat: '#ff5c5c' rural heat dsm: '#ff5c5c' residential rural heat: '#ff7c7c' diff --git a/config/run_2026-02/config.flex-2030.yaml b/config/run_2026-02/config.flex-2030.yaml new file mode 100644 index 0000000000..d9285faec9 --- /dev/null +++ b/config/run_2026-02/config.flex-2030.yaml @@ -0,0 +1,228 @@ +# Standalone flex-2030 config +# Based on config.flexibility-study.yaml with all flexibility enabled +# V2G degradation cost added via adjustments for realism + +run: + prefix: "2026-02" + name: "flex-2030" + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + scenarios: + enable: false + +foresight: overnight + +scenario: + clusters: + - 37 + opts: + - "" + sector_opts: + - "" + planning_horizons: + - "2030" + +costs: + year: 2030 + +co2_budget: + 2030: 0.45 + +countries: + - AT + - BE + - BG + - CH + - CZ + - DE + - DK + - EE + - ES + - FI + - FR + - GB + - GR + - HR + - HU + - IE + - IT + - LT + - LU + - LV + - NL + - "NO" + - PL + - PT + - RO + - SE + - SI + - SK + +snapshots: + start: "2019-01-01" + end: "2020-01-01" + inclusive: left + +electricity: + extendable_carriers: + Generator: + [ + solar, + solar-hsat, + onwind, + offwind-ac, + offwind-dc, + offwind-float, + OCGT, + CCGT, + ] + StorageUnit: [battery] + Store: [H2] + Link: [] + transmission_limit: "v1.25" + +atlite: + default_cutout: europe-2019-sarah3-era5 + cutouts: + europe-2019-sarah3-era5: + module: [sarah, era5] + x: [-12., 35.] + y: [33., 72.] + time: ["2019-01-01", "2019-12-31"] + +clustering: + temporal: + resolution_sector: 3h + +transmission_projects: + include: + tyndp2020: true + nep: false + manual: true + new_link_capacity: keep + +sector: + gas_network: true + H2_network: false + H2_retrofit: false + reduce_space_heat_exogenously: true + reduce_space_heat_exogenously_factor: + 2030: 0.08 + district_heating: + progress: + 2030: 0.3 + residential_heat: + dsm: + enable: true + direction: + - overheat + - undercool + restriction_value: + 2030: 0.27 + hydrogen_turbine: true + hydrogen_fuel_cell: true + bev_dsm: true + v2g: true + bev_energy: 0.07 + bev_dsm_availability: 0.5 + land_transport_electric_share: + 2030: 0.2 + land_transport_fuel_cell_share: + 2030: 0 + regional_oil_demand: false + regional_co2_sequestration_potential: + enable: false + co2_spatial: false + co2_network: false + methanol: + methanol_to_power: + ocgt: true + ammonia: false + biomass_spatial: false + biomass_to_liquid: false + electrobiofuels: false + dac: false + limit_max_growth: + enable: true + factor: 1.5 + +industry: + dsr: + enable: true + store_capital_cost: 5.0 + flexibility_fraction: + "Iron & steel industry|Scrap-EAF": 0.85 + "Iron & steel industry|H2-DRI-EAF": 0.20 + "Iron & steel industry|BF-BOF-CCUS": 0.05 + "Iron & steel industry|Manufacturing": 0.0 + "Iron & steel industry|Aluminium-primary": 0.125 + "Iron & steel industry|Aluminium-secondary": 0.125 + "Iron & steel industry|Alumina": 0.0 + "Non-metallic Minerals|Cement mills": 0.42 + "Non-metallic Minerals|Raw mills": 0.42 + "Non-metallic Minerals|Kiln": 0.0 + "Non-metallic Minerals|Other": 0.0 + "Paper, Pulp and Print|Pulp production": 0.60 + "Paper, Pulp and Print|Paper machines": 0.0 + "Paper, Pulp and Print|Printing": 0.60 + "Non-specified (Industry)|Chlor-alkali": 0.10 + "Non-specified (Industry)|Other chemicals": 0.15 + "Food and Tobacco": 0.10 + "Textile and Leather": 0.10 + "Wood and Wood Products": 0.10 + "Transport Equipment": 0.10 + "Machinery": 0.10 + shift_hours: + "Iron & steel industry|Scrap-EAF": 2 + "Iron & steel industry|H2-DRI-EAF": 6 + "Iron & steel industry|BF-BOF-CCUS": 1 + "Iron & steel industry|Aluminium-primary": 3 + "Iron & steel industry|Aluminium-secondary": 3 + "Iron & steel industry|Alumina": 0 + "Non-metallic Minerals|Cement mills": 4 + "Non-metallic Minerals|Raw mills": 4 + "Paper, Pulp and Print|Pulp production": 6 + "Paper, Pulp and Print|Printing": 6 + "Non-specified (Industry)|Chlor-alkali": 4 + "Non-specified (Industry)|Other chemicals": 4 + "Food and Tobacco": 4 + "Textile and Leather": 4 + "Wood and Wood Products": 4 + "Transport Equipment": 4 + "Machinery": 4 + restriction_time: + "Non-specified (Industry)|Other chemicals": [0] + waste_to_energy: true + temporal_electricity_industry_load: true + +adjustments: + sector: + factor: + Link: + electricity distribution grid: + capital_cost: 1.0 + absolute: + Link: + V2G: + marginal_cost: 100 + +solving: + solver: + name: gurobi + options: gurobi-default + mem_mb: 128000 + runtime: 48h + +plotting: + map: + boundaries: + eu_node_location: + x: 10.0 + y: 50.0 + costs_max: 1000 + costs_threshold: 0.0000001 + energy_max: + energy_min: + energy_threshold: 0.000001 diff --git a/config/run_2026-02/config.flex-2040.yaml b/config/run_2026-02/config.flex-2040.yaml new file mode 100644 index 0000000000..fe6b0eb93e --- /dev/null +++ b/config/run_2026-02/config.flex-2040.yaml @@ -0,0 +1,228 @@ +# Standalone flex-2040 config +# Escalated flexibility vs 2030: higher DSR fractions, longer shift hours, +# lower DSR store cost, V2G degradation cost reduced, larger EV fleet + +run: + prefix: "2026-02" + name: "flex-2040" + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + scenarios: + enable: false + +foresight: overnight + +scenario: + clusters: + - 37 + opts: + - "" + sector_opts: + - "" + planning_horizons: + - "2040" + +costs: + year: 2040 + +co2_budget: + 2040: 0.10 + +countries: + - AT + - BE + - BG + - CH + - CZ + - DE + - DK + - EE + - ES + - FI + - FR + - GB + - GR + - HR + - HU + - IE + - IT + - LT + - LU + - LV + - NL + - "NO" + - PL + - PT + - RO + - SE + - SI + - SK + +snapshots: + start: "2019-01-01" + end: "2020-01-01" + inclusive: left + +electricity: + extendable_carriers: + Generator: + [ + solar, + solar-hsat, + onwind, + offwind-ac, + offwind-dc, + offwind-float, + OCGT, + CCGT, + ] + StorageUnit: [battery] + Store: [H2] + Link: [] + transmission_limit: "v1.25" + +atlite: + default_cutout: europe-2019-sarah3-era5 + cutouts: + europe-2019-sarah3-era5: + module: [sarah, era5] + x: [-12., 35.] + y: [33., 72.] + time: ["2019-01-01", "2019-12-31"] + +clustering: + temporal: + resolution_sector: 3h + +transmission_projects: + include: + tyndp2020: true + nep: false + manual: true + new_link_capacity: keep + +sector: + gas_network: true + H2_network: false + H2_retrofit: false + reduce_space_heat_exogenously: true + reduce_space_heat_exogenously_factor: + 2040: 0.15 + district_heating: + progress: + 2040: 0.5 + residential_heat: + dsm: + enable: true + direction: + - overheat + - undercool + restriction_value: + 2040: 0.38 + hydrogen_turbine: true + hydrogen_fuel_cell: true + bev_dsm: true + v2g: true + bev_energy: 0.10 + bev_dsm_availability: 0.5 + land_transport_electric_share: + 2040: 0.7 + land_transport_fuel_cell_share: + 2040: 0 + regional_oil_demand: false + regional_co2_sequestration_potential: + enable: false + co2_spatial: false + co2_network: false + methanol: + methanol_to_power: + ocgt: true + ammonia: false + biomass_spatial: false + biomass_to_liquid: false + electrobiofuels: false + dac: false + limit_max_growth: + enable: true + factor: 1.5 + +industry: + dsr: + enable: true + store_capital_cost: 3.0 + flexibility_fraction: + "Iron & steel industry|Scrap-EAF": 0.90 + "Iron & steel industry|H2-DRI-EAF": 0.35 + "Iron & steel industry|BF-BOF-CCUS": 0.02 + "Iron & steel industry|Manufacturing": 0.0 + "Iron & steel industry|Aluminium-primary": 0.20 + "Iron & steel industry|Aluminium-secondary": 0.20 + "Iron & steel industry|Alumina": 0.0 + "Non-metallic Minerals|Cement mills": 0.55 + "Non-metallic Minerals|Raw mills": 0.55 + "Non-metallic Minerals|Kiln": 0.0 + "Non-metallic Minerals|Other": 0.0 + "Paper, Pulp and Print|Pulp production": 0.70 + "Paper, Pulp and Print|Paper machines": 0.0 + "Paper, Pulp and Print|Printing": 0.70 + "Non-specified (Industry)|Chlor-alkali": 0.15 + "Non-specified (Industry)|Other chemicals": 0.25 + "Food and Tobacco": 0.20 + "Textile and Leather": 0.20 + "Wood and Wood Products": 0.20 + "Transport Equipment": 0.20 + "Machinery": 0.20 + shift_hours: + "Iron & steel industry|Scrap-EAF": 3 + "Iron & steel industry|H2-DRI-EAF": 8 + "Iron & steel industry|BF-BOF-CCUS": 1 + "Iron & steel industry|Aluminium-primary": 4 + "Iron & steel industry|Aluminium-secondary": 4 + "Iron & steel industry|Alumina": 0 + "Non-metallic Minerals|Cement mills": 6 + "Non-metallic Minerals|Raw mills": 6 + "Paper, Pulp and Print|Pulp production": 8 + "Paper, Pulp and Print|Printing": 8 + "Non-specified (Industry)|Chlor-alkali": 6 + "Non-specified (Industry)|Other chemicals": 6 + "Food and Tobacco": 6 + "Textile and Leather": 6 + "Wood and Wood Products": 6 + "Transport Equipment": 6 + "Machinery": 6 + restriction_time: + "Non-specified (Industry)|Other chemicals": [0] + waste_to_energy: true + temporal_electricity_industry_load: true + +adjustments: + sector: + factor: + Link: + electricity distribution grid: + capital_cost: 1.0 + absolute: + Link: + V2G: + marginal_cost: 60 + +solving: + solver: + name: gurobi + options: gurobi-default + mem_mb: 128000 + runtime: 48h + +plotting: + map: + boundaries: + eu_node_location: + x: 10.0 + y: 50.0 + costs_max: 1000 + costs_threshold: 0.0000001 + energy_max: + energy_min: + energy_threshold: 0.000001 diff --git a/config/run_2026-02/config.flex-2050.yaml b/config/run_2026-02/config.flex-2050.yaml new file mode 100644 index 0000000000..8386b674d0 --- /dev/null +++ b/config/run_2026-02/config.flex-2050.yaml @@ -0,0 +1,228 @@ +# Standalone flex-2050 config +# Maximum flexibility: highest DSR fractions, longest shift hours, +# lowest DSR store cost, V2G mature and cheap, fully electric transport, net-zero CO2 + +run: + prefix: "2026-02" + name: "flex-2050" + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + scenarios: + enable: false + +foresight: overnight + +scenario: + clusters: + - 37 + opts: + - "" + sector_opts: + - "" + planning_horizons: + - "2050" + +costs: + year: 2050 + +co2_budget: + 2050: 0.0 + +countries: + - AT + - BE + - BG + - CH + - CZ + - DE + - DK + - EE + - ES + - FI + - FR + - GB + - GR + - HR + - HU + - IE + - IT + - LT + - LU + - LV + - NL + - "NO" + - PL + - PT + - RO + - SE + - SI + - SK + +snapshots: + start: "2019-01-01" + end: "2020-01-01" + inclusive: left + +electricity: + extendable_carriers: + Generator: + [ + solar, + solar-hsat, + onwind, + offwind-ac, + offwind-dc, + offwind-float, + OCGT, + CCGT, + ] + StorageUnit: [battery] + Store: [H2] + Link: [] + transmission_limit: "v1.25" + +atlite: + default_cutout: europe-2019-sarah3-era5 + cutouts: + europe-2019-sarah3-era5: + module: [sarah, era5] + x: [-12., 35.] + y: [33., 72.] + time: ["2019-01-01", "2019-12-31"] + +clustering: + temporal: + resolution_sector: 3h + +transmission_projects: + include: + tyndp2020: true + nep: false + manual: true + new_link_capacity: keep + +sector: + gas_network: true + H2_network: false + H2_retrofit: false + reduce_space_heat_exogenously: true + reduce_space_heat_exogenously_factor: + 2050: 0.286 + district_heating: + progress: + 2050: 0.8 + residential_heat: + dsm: + enable: true + direction: + - overheat + - undercool + restriction_value: + 2050: 0.4 + hydrogen_turbine: true + hydrogen_fuel_cell: true + bev_dsm: true + v2g: true + bev_energy: 0.12 + bev_dsm_availability: 0.5 + land_transport_electric_share: + 2050: 1.0 + land_transport_fuel_cell_share: + 2050: 0 + regional_oil_demand: false + regional_co2_sequestration_potential: + enable: false + co2_spatial: false + co2_network: false + methanol: + methanol_to_power: + ocgt: true + ammonia: false + biomass_spatial: false + biomass_to_liquid: false + electrobiofuels: false + dac: false + limit_max_growth: + enable: true + factor: 1.5 + +industry: + dsr: + enable: true + store_capital_cost: 1.5 + flexibility_fraction: + "Iron & steel industry|Scrap-EAF": 0.95 + "Iron & steel industry|H2-DRI-EAF": 0.50 + "Iron & steel industry|BF-BOF-CCUS": 0.0 + "Iron & steel industry|Manufacturing": 0.0 + "Iron & steel industry|Aluminium-primary": 0.25 + "Iron & steel industry|Aluminium-secondary": 0.25 + "Iron & steel industry|Alumina": 0.0 + "Non-metallic Minerals|Cement mills": 0.65 + "Non-metallic Minerals|Raw mills": 0.65 + "Non-metallic Minerals|Kiln": 0.0 + "Non-metallic Minerals|Other": 0.0 + "Paper, Pulp and Print|Pulp production": 0.80 + "Paper, Pulp and Print|Paper machines": 0.0 + "Paper, Pulp and Print|Printing": 0.80 + "Non-specified (Industry)|Chlor-alkali": 0.20 + "Non-specified (Industry)|Other chemicals": 0.35 + "Food and Tobacco": 0.30 + "Textile and Leather": 0.30 + "Wood and Wood Products": 0.30 + "Transport Equipment": 0.30 + "Machinery": 0.30 + shift_hours: + "Iron & steel industry|Scrap-EAF": 4 + "Iron & steel industry|H2-DRI-EAF": 12 + "Iron & steel industry|BF-BOF-CCUS": 0 + "Iron & steel industry|Aluminium-primary": 5 + "Iron & steel industry|Aluminium-secondary": 5 + "Iron & steel industry|Alumina": 0 + "Non-metallic Minerals|Cement mills": 8 + "Non-metallic Minerals|Raw mills": 8 + "Paper, Pulp and Print|Pulp production": 12 + "Paper, Pulp and Print|Printing": 12 + "Non-specified (Industry)|Chlor-alkali": 8 + "Non-specified (Industry)|Other chemicals": 8 + "Food and Tobacco": 8 + "Textile and Leather": 8 + "Wood and Wood Products": 8 + "Transport Equipment": 8 + "Machinery": 8 + restriction_time: + "Non-specified (Industry)|Other chemicals": [0] + waste_to_energy: true + temporal_electricity_industry_load: true + +adjustments: + sector: + factor: + Link: + electricity distribution grid: + capital_cost: 1.0 + absolute: + Link: + V2G: + marginal_cost: 30 + +solving: + solver: + name: gurobi + options: gurobi-default + mem_mb: 128000 + runtime: 48h + +plotting: + map: + boundaries: + eu_node_location: + x: 10.0 + y: 50.0 + costs_max: 1000 + costs_threshold: 0.0000001 + energy_max: + energy_min: + energy_threshold: 0.000001 diff --git a/config/run_2026-02/config.flexibility-study.yaml b/config/run_2026-02/config.flexibility-study.yaml new file mode 100644 index 0000000000..5d61ed4219 --- /dev/null +++ b/config/run_2026-02/config.flexibility-study.yaml @@ -0,0 +1,166 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# SPDX-License-Identifier: CC0-1.0 + +run: + prefix: "2026-02" + name: "all" # Must be kept as "all", else the scenario management is not working, see https://github.com/PyPSA/pypsa-eur/issues/2100 + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + scenarios: + enable: true + file: config/run_2026-02/scenarios.yaml + +foresight: overnight + +scenario: + clusters: + - 33 + planning_horizons: + - "2030" # Will be overwritten, but must be kept due to a bug upstream, see https://github.com/PyPSA/pypsa-eur/issues/2100 + +countries: + - AT + - BE + - BG + - CH + - CZ + - DE + - DK + - EE + - ES + - FI + - FR + - GB + - GR + - HR + - HU + - IE + - IT + - LT + - LU + - LV + - NL + - "NO" + - PL + - PT + - RO + - SE + - SI + - SK + +snapshots: + start: "2019-01-01" + end: "2019-12-31" + inclusive: both + +electricity: + extendable_carriers: + Generator: + [ + solar, + solar-hsat, + onwind, + offwind-ac, + offwind-dc, + offwind-float, + OCGT, + CCGT, + ] + StorageUnit: [battery] + Store: [H2] + Link: [] + transmission_limit: "v1.25" + +atlite: + default_cutout: europe-2019-sarah3-era5 + cutouts: + europe-2019-sarah3-era5: + module: [sarah, era5] + x: [-12., 35.] + y: [33., 72.] + time: ["2019-01-01", "2019-12-31"] + +clustering: + temporal: + resolution_sector: 3h + +transmission_projects: + include: + tyndp2020: true + nep: false + manual: true + new_link_capacity: keep + +sector: + gas_network: true + H2_network: false + H2_retrofit: false + reduce_space_heat_exogenously: true + reduce_space_heat_exogenously_factor: + 2020: 0.01 + 2025: 0.04 + 2030: 0.08 + 2035: 0.12 + 2040: 0.15 + 2045: 0.24 + 2050: 0.286 + district_heating: + progress: + 2020: 0.0 + 2030: 0.3 + 2040: 0.5 + 2050: 0.8 + residential_heat: + dsm: + enable: false + direction: + - overheat + - undercool + hydrogen_turbine: true + bev_dsm: false + v2g: false + bev_energy: 0.07 + regional_oil_demand: false + regional_co2_sequestration_potential: + enable: false + co2_spatial: false + co2_network: false + methanol: + methanol_to_power: + ocgt: true + ammonia: false + biomass_spatial: false + biomass_to_liquid: false + electrobiofuels: false + dac: false + hydrogen_fuel_cell: false + limit_max_growth: + enable: true + factor: 1.5 + +industry: + dsr: + enable: false + waste_to_energy: true + temporal_electricity_industry_load: true + +solving: + solver: + name: gurobi + options: gurobi-default + mem_mb: 128000 + runtime: 48h + +plotting: + map: + boundaries: + eu_node_location: + x: 10.0 + y: 50.0 + costs_max: 1000 + costs_threshold: 0.0000001 + energy_max: + energy_min: + energy_threshold: 0.000001 diff --git a/config/run_2026-02/scenarios.yaml b/config/run_2026-02/scenarios.yaml new file mode 100644 index 0000000000..e83a954e4e --- /dev/null +++ b/config/run_2026-02/scenarios.yaml @@ -0,0 +1,107 @@ +# +++ Flexibility scenarios +++ + +# Flexibility 2030 +flex-2030: + run: + name: flex-2030 + scenario: + planning_horizons: + - 2030 + + costs: + year: 2030 + + sector: + residential_heat: + dsm: + enable: true + bev_dsm: true + v2g: true + + industry: + dsr: + enable: true + +# Flexibility 2040 +flex-2040: + run: + name: flex-2040 + + scenario: + planning_horizons: + - 2040 + + costs: + year: 2040 + + sector: + residential_heat: + dsm: + enable: true + bev_dsm: true + v2g: true + + industry: + dsr: + enable: true + +# Flexibility 2050 +flex-2050: + run: + name: flex-2050 + + scenario: + planning_horizons: + - 2050 + + costs: + year: 2050 + + sector: + residential_heat: + dsm: + enable: true + bev_dsm: true + v2g: true + + industry: + dsr: + enable: true + +# +++ Reference scenarios +++ + +# Reference 2030 +ref-2030: + run: + name: ref-2030 + + scenario: + planning_horizons: + - 2030 + + costs: + year: 2030 + +# Reference 2040 +ref-2040: + run: + name: ref-2040 + + scenario: + planning_horizons: + - 2040 + + costs: + year: 2040 + +# Reference 2050 +ref-2050: + run: + name: ref-2050 + + scenario: + planning_horizons: + - 2050 + + costs: + year: 2050 diff --git a/config/scenarios/config.baseline_no_flex.yaml b/config/scenarios/config.baseline_no_flex.yaml new file mode 100644 index 0000000000..5e8a28866f --- /dev/null +++ b/config/scenarios/config.baseline_no_flex.yaml @@ -0,0 +1,138 @@ +# Baseline scenario: NO flexibility, 28 clusters (1/country), 3h resolution, 2030. +# Temporal industry load ON (realistic daytime peaks), but no DSR, no heat DSM, no BEV/V2G. +# Usage: snakemake --configfile config/config.default.yaml config/scenarios/config.baseline_no_flex.yaml + +tutorial: true + +run: + name: "baseline_no_flex_28c_3h" + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + +scenario: + clusters: + - 28 + opts: + - '' + sector_opts: + - '' + planning_horizons: + - 2030 + +countries: ['AT', 'BE', 'BG', 'CH', 'CZ', 'DE', 'DK', 'EE', 'ES', 'FI', 'FR', + 'GB', 'GR', 'HR', 'HU', 'IE', 'IT', 'LT', 'LU', 'LV', 'NL', 'NO', + 'PL', 'PT', 'RO', 'SE', 'SI', 'SK'] + +snapshots: + start: "2019-01-01" + end: "2019-12-31" + +electricity: + extendable_carriers: + Generator: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float, OCGT, CCGT] + StorageUnit: [battery] + Store: [H2] + Link: [H2 pipeline] + renewable_carriers: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float] + +atlite: + default_cutout: europe-2019-sarah3-era5 + cutouts: + europe-2019-sarah3-era5: + module: [sarah, era5] + x: [-12., 35.] + y: [33., 72.] + time: ["2019-01-01", "2019-12-31"] + +renewable: + offwind-ac: + max_depth: false + offwind-dc: + max_depth: false + offwind-float: + max_depth: false + min_depth: false + +clustering: + temporal: + resolution_sector: 3h + +sector: + gas_network: true + H2_retrofit: true + residential_heat: + dsm: + enable: false + bev_dsm: false + v2g: false + reduce_space_heat_exogenously: true + reduce_space_heat_exogenously_factor: + 2020: 0.01 + 2025: 0.04 + 2030: 0.08 + 2035: 0.12 + 2040: 0.15 + 2045: 0.24 + 2050: 0.286 + district_heating: + progress: + 2020: 0.0 + 2030: 0.3 + 2040: 0.5 + 2050: 0.8 + heat_pump_sources: + urban central: + - air + urban decentral: + - air + rural: + - air + - ground + hydrogen_turbine: false + regional_oil_demand: false + regional_co2_sequestration_potential: + enable: false + co2_spatial: false + co2_network: false + methanol: + methanol_to_power: + ocgt: false + biomass_to_methanol: false + ammonia: false + biomass_spatial: false + biomass_to_liquid: false + electrobiofuels: false + +industry: + HVC_environment_sequestration_fraction: 0.5 + waste_to_energy: true + waste_to_energy_cc: true + temporal_electricity_industry_load: true + dsr: + enable: false + +co2_budget: + 2030: 0.45 + +costs: + year: 2030 + +solving: + solver: + name: gurobi + options: gurobi-default + mem: 8000 + +plotting: + map: + boundaries: + eu_node_location: + x: 10.0 + y: 50.0 + costs_max: 1000 + costs_threshold: 0.0000001 + energy_max: + energy_min: + energy_threshold: 0.000001 diff --git a/config/test/Dunkel_test.yaml b/config/test/Dunkel_test.yaml new file mode 100644 index 0000000000..bd150cd1fd --- /dev/null +++ b/config/test/Dunkel_test.yaml @@ -0,0 +1,109 @@ +# SPDX-FileCopyrightText: : 2017-2024 The PyPSA-Eur Authors +# +# SPDX-License-Identifier: CC0-1.0 + +run: + name: "Test_2030" # Run identification for 2024 + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + +enable: + retrieve: true + + +scenario: + clusters: + - 10 + opts: + - '' + planning_horizons: + - 2030 + + +countries: ['BE'] + +snapshots: + start: "2019-01-01" # Use 2019 weather data + end: "2019-12-31" # for 2030 planning horizon + + +electricity: + co2limit_enable: true + co2limit: 100.e+6 + battery_cost_reduction: true + #base_network: osm-raw + powerplants_filter: DateOut >= 2019 +atlite: + default_cutout: europe-2019-sarah3-era5 + cutouts: + europe-2019-sarah3-era5: + module: [sarah3, era5] # in priority order + x: [-12., 42.] + y: [33., 72.] + time: ['2019-01-01', '2019-12-31'] + +conventional: + unit_commitment: false + dynamic_fuel_price: false + +renewable: + onwind: + cutout: europe-2019-sarah3-era5 + offwind-ac: + cutout: europe-2019-sarah3-era5 + max_depth: false + offwind-dc: + cutout: europe-2019-sarah3-era5 + max_depth: false + offwind-float: + cutout: europe-2019-sarah3-era5 + max_depth: false + min_depth: false + solar: + cutout: europe-2019-sarah3-era5 + solar-hsat: + cutout: europe-2019-sarah3-era5 + hydro: + cutout: europe-2019-sarah3-era5 + carriers: [ror, PHS, hydro] + PHS_max_hours: 6 + hydro_max_hours: "energy_capacity_totals_by_country" # one of energy_capacity_totals_by_country, estimate_by_large_installations or a float + flatten_dispatch: false + flatten_dispatch_buffer: 0.2 + clip_min_inflow: 1.0 + eia_norm_year: false + eia_correct_by_capacity: true + eia_approximate_missing: false + +load: + scaling_factor: 1.2 + fixed_year: 2019 + supplement_synthetic: true + +lines: + dynamic_line_rating: + activate: false + cutout: europe-2019-sarah3-era5 + max_line_rating: 1.3 + +solving: + solver: + name: highs + options: highs-default + +plotting: + map: + boundaries: + eu_node_location: + x: -5.5 + y: 46. + costs_max: 1000 + costs_threshold: 0.0000001 + energy_max: + energy_min: + energy_threshold: 0.000001 + + + diff --git a/config/test/config.dsr_v3_renewable.yaml b/config/test/config.dsr_v3_renewable.yaml new file mode 100644 index 0000000000..2a44608ebb --- /dev/null +++ b/config/test/config.dsr_v3_renewable.yaml @@ -0,0 +1,24 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: CC0-1.0 + +# DSR v3 with renewable expansion (Fit-for-55). +# Pair with config.no_dsr_renewable.yaml for apples-to-apples comparison. +# Usage: snakemake --configfile config/config.default.yaml config/test/config.eu_38_2030_base.yaml config/test/config.dsr_v3_renewable.yaml + +run: + name: "EU_dsr_v3_renewable_ff55" + +electricity: + extendable_carriers: + Generator: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float, OCGT, CCGT] + +industry: + dsr: + enable: true + +co2_budget: + 2030: 0.45 + +costs: + year: 2030 diff --git a/config/test/config.dsr_v3_test.yaml b/config/test/config.dsr_v3_test.yaml new file mode 100644 index 0000000000..ca96d4c662 --- /dev/null +++ b/config/test/config.dsr_v3_test.yaml @@ -0,0 +1,13 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: CC0-1.0 + +# DSR v3 enabled test run. +# Usage: snakemake --configfile config/config.default.yaml config/test/config.eu_38_2030_base.yaml config/test/config.dsr_v3_test.yaml + +run: + name: "EU_test_run_dsr_v3_optional" + +industry: + dsr: + enable: true diff --git a/config/test/config.electricity_abi.yaml b/config/test/config.electricity_abi.yaml new file mode 100644 index 0000000000..2fabce4be9 --- /dev/null +++ b/config/test/config.electricity_abi.yaml @@ -0,0 +1,83 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: CC0-1.0 + +tutorial: true + + +run: + name: "test-elec_abi" # use this to keep track of runs with different settings + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + +scenario: + clusters: + - 5 + opts: + - '' + +countries: ['BE'] + +snapshots: + start: "2023-01-01" + end: "2023-12-31" + +electricity: + co2limit_enable: true + co2limit: 100.e+6 + + extendable_carriers: + Generator: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float, OCGT, CCGT, nuclear] + StorageUnit: [battery] + Store: [H2] + Link: [H2 pipeline] + + renewable_carriers: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float] + estimate_renewable_capacities: + enable: true + from_gem: true + year: 2023 + expansion_limit: false + technology_mapping: + Offshore: offwind-ac + Onshore: onwind + PV: solar + +atlite: + default_cutout: europe-2023-sarah3-era5 + cutouts: + europe-2023-sarah3-era5: + module: era5 + x: [4., 15.] + y: [46., 56.] + time: ["2023-01-01", "2023-12-31"] + +renewable: + offwind-ac: + max_depth: false + offwind-dc: + max_depth: false + offwind-float: + max_depth: false + min_depth: false + + +clustering: + exclude_carriers: ["OCGT", "offwind-ac", "coal"] + temporal: + resolution_elec: 24h + +lines: + dynamic_line_rating: + activate: false + max_line_rating: 1.3 + + +solving: + solver: + name: gurobi + options: gurobi-default + + diff --git a/config/test/config.eu_38_2030_base.yaml b/config/test/config.eu_38_2030_base.yaml new file mode 100644 index 0000000000..ab30e3c374 --- /dev/null +++ b/config/test/config.eu_38_2030_base.yaml @@ -0,0 +1,135 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: CC0-1.0 + +# Base scenario: EU27+ countries, full year 2019, 2h resolution, 38 clusters, 2030. +# Stack on top of config/config.default.yaml, then add a DSR/scenario override. +# Usage: snakemake --configfile config/config.default.yaml config/test/config.eu_38_2030_base.yaml config/test/.yaml + +tutorial: true + +run: + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + +scenario: + clusters: + - 38 + opts: + - '' + sector_opts: + - '' + planning_horizons: + - 2030 + +countries: ['AL', 'AT', 'BA', 'BE', 'BG', 'CH', 'CZ', 'DE', 'DK', 'EE', 'ES', 'FI', 'FR', + 'GB', 'GR', 'HR', 'HU', 'IE', 'IT', 'LT', 'LU', 'LV', 'ME', 'MK', 'NL', 'NO', + 'PL', 'PT', 'RO', 'RS', 'SE', 'SI', 'SK'] + +snapshots: + start: "2019-01-01" + end: "2019-12-31" + +electricity: + extendable_carriers: + Generator: [OCGT] + StorageUnit: [battery] + Store: [H2] + Link: [H2 pipeline] + renewable_carriers: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float] + +atlite: + default_cutout: europe-2019-sarah3-era5 + cutouts: + europe-2019-sarah3-era5: + module: [sarah, era5] + x: [-12., 35.] + y: [33., 72.] + time: ["2019-01-01", "2019-12-31"] + +renewable: + offwind-ac: + max_depth: false + offwind-dc: + max_depth: false + offwind-float: + max_depth: false + min_depth: false + +clustering: + temporal: + resolution_sector: 2h + +sector: + gas_network: true + H2_retrofit: true + residential_heat: + dsm: + enable: true + direction: + - overheat + restriction_value: + 2020: 0.06 + 2025: 0.16 + 2030: 0.27 + 2035: 0.36 + 2040: 0.38 + 2045: 0.39 + 2050: 0.4 + restriction_time: + - 10 + - 22 + district_heating: + progress: + 2020: 0.0 + 2030: 0.3 + 2040: 0.5 + 2050: 0.8 + heat_pump_sources: + urban central: + - air + urban decentral: + - air + rural: + - air + - ground + hydrogen_turbine: false + regional_oil_demand: false + regional_co2_sequestration_potential: + enable: false + co2_spatial: false + co2_network: false + methanol: + methanol_to_power: + ocgt: false + biomass_to_methanol: false + ammonia: false + biomass_spatial: false + biomass_to_liquid: false + electrobiofuels: false + +industry: + HVC_environment_sequestration_fraction: 0.5 + waste_to_energy: true + waste_to_energy_cc: true + temporal_electricity_industry_load: true + +solving: + solver: + name: gurobi + options: gurobi-default + mem: 8000 + +plotting: + map: + boundaries: + eu_node_location: + x: 10.0 + y: 50.0 + costs_max: 1000 + costs_threshold: 0.0000001 + energy_max: + energy_min: + energy_threshold: 0.000001 diff --git a/config/test/config.industry.flex.yaml b/config/test/config.industry.flex.yaml new file mode 100644 index 0000000000..41def89193 --- /dev/null +++ b/config/test/config.industry.flex.yaml @@ -0,0 +1,46 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: CC0-1.0 + +# Industry flexibility test: Belgium, 5 clusters, 2030, HiGHS, 1-week horizon. +# DSR enabled with v2-style restriction_time checkpoints (twice-daily for some techs). +# Usage: snakemake --configfile config/config.default.yaml config/test/config.industry.flex.yaml + +run: + name: "Test_2030" + +scenario: + clusters: + - 5 + planning_horizons: + - 2030 + +countries: +- BE + +enable: + retrieve: true + +clustering: + temporal: + resolution_sector: 6h + +industry: + temporal_electricity_industry_load: true + dsr: + enable: true + # Override restriction_time: v2-style twice-daily checkpoints for some technologies. + restriction_time: + "Iron & steel industry|Scrap-EAF": [6, 18] + "Iron & steel industry|H2-DRI-EAF": [0, 12] + "Iron & steel industry|BF-BOF-CCUS": [6, 18] + # Override ramp_rate default: v2-style 50% per hour. + ramp_rate: + default: 0.5 + +solving: + solver: + name: highs + options: highs-default + solving_options: + nhours: 168 diff --git a/config/test/config.no_dsr_renewable.yaml b/config/test/config.no_dsr_renewable.yaml new file mode 100644 index 0000000000..81547fdd25 --- /dev/null +++ b/config/test/config.no_dsr_renewable.yaml @@ -0,0 +1,24 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: CC0-1.0 + +# No-DSR baseline with renewable expansion (Fit-for-55). +# Pair with config.dsr_v3_renewable.yaml for apples-to-apples comparison. +# Usage: snakemake --configfile config/config.default.yaml config/test/config.eu_38_2030_base.yaml config/test/config.no_dsr_renewable.yaml + +run: + name: "EU_no_dsr_renewable_ff55" + +electricity: + extendable_carriers: + Generator: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float, OCGT, CCGT] + +industry: + dsr: + enable: false + +co2_budget: + 2030: 0.45 + +costs: + year: 2030 diff --git a/config/test/config.temporal_no_dsr.yaml b/config/test/config.temporal_no_dsr.yaml new file mode 100644 index 0000000000..060a28a6f4 --- /dev/null +++ b/config/test/config.temporal_no_dsr.yaml @@ -0,0 +1,19 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: CC0-1.0 + +# Temporal industry profiles WITHOUT DSR (baseline for comparison). +# Also disables residential heat DSM for a clean no-flexibility baseline. +# Usage: snakemake --configfile config/config.default.yaml config/test/config.eu_38_2030_base.yaml config/test/config.temporal_no_dsr.yaml + +run: + name: "EU_test_run_temporal_no_dsr" + +sector: + residential_heat: + dsm: + enable: false + +industry: + dsr: + enable: false diff --git a/config/transport/config.test_transport.yaml b/config/transport/config.test_transport.yaml new file mode 100644 index 0000000000..e6e22231f4 --- /dev/null +++ b/config/transport/config.test_transport.yaml @@ -0,0 +1,140 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: CC0-1.0 + +# Test configuration for residential heat DSM implementation +# EU27 countries, 6-month run (Mar-Aug 2019), 6h resolution, 38 clusters + +tutorial: true + +run: + name: "test_transport" + disable_progressbar: true + shared_resources: + policy: false + shared_cutouts: true + + +scenario: + clusters: + - 38 + sector_opts: + - '' + planning_horizons: + - 2030 + +countries: ['AL', 'AT', 'BA', 'BE', 'BG', 'CH', 'CZ', 'DE', 'DK', 'EE', 'ES', 'FI', 'FR', + 'GB', 'GR', 'HR', 'HU', 'IE', 'IT', 'LT', 'LU', 'LV', 'ME', 'MK', 'NL', 'NO', + 'PL', 'PT', 'RO', 'RS', 'SE', 'SI', 'SK'] + +snapshots: + start: "2019-01-01" + end: "2019-12-31" + +electricity: + + extendable_carriers: + Generator: [OCGT] + StorageUnit: [battery] + Store: [H2] + Link: [H2 pipeline] + + renewable_carriers: [solar, solar-hsat, onwind, offwind-ac, offwind-dc, offwind-float] + +atlite: + default_cutout: europe-2019-sarah3-era5 + cutouts: + europe-2019-sarah3-era5: + module: [sarah, era5] + x: [-12., 35.] + y: [33., 72.] + time: ["2019-01-01", "2019-12-31"] + +renewable: + offwind-ac: + max_depth: false + offwind-dc: + max_depth: false + offwind-float: + max_depth: false + min_depth: false + +clustering: + temporal: + resolution_sector: 2h + +sector: + gas_network: true + H2_retrofit: true + residential_heat: + dsm: + enable: true + direction: + - overheat + restriction_value: + 2020: 0.06 + 2025: 0.16 + 2030: 0.27 + 2035: 0.36 + 2040: 0.38 + 2045: 0.39 + 2050: 0.4 + restriction_time: + - 10 + - 22 + district_heating: + progress: + 2020: 0.0 + 2030: 0.3 + 2040: 0.5 + 2050: 0.8 + heat_pump_sources: + urban central: + - air + urban decentral: + - air + rural: + - air + - ground + land_transport_passenger_km_scaling: + 2020: 1.1 + 2030: 1.2 + 2040: 1.3 + 2050: 1.4 + hydrogen_turbine: false + regional_oil_demand: false + regional_co2_sequestration_potential: + enable: false + co2_spatial: false + co2_network: false + methanol: + methanol_to_power: + ocgt: false + biomass_to_methanol: false + ammonia: false + biomass_spatial: false + biomass_to_liquid: false + electrobiofuels: false + +industry: + HVC_environment_sequestration_fraction: 0.5 + waste_to_energy: true + waste_to_energy_cc: true + +solving: + solver: + name: gurobi + options: gurobi-default + mem: 8000 + +plotting: + map: + boundaries: + eu_node_location: + x: 10.0 + y: 50.0 + costs_max: 1000 + costs_threshold: 0.0000001 + energy_max: + energy_min: + energy_threshold: 0.000001 diff --git a/data/eia_hydro_annual_generation.csv b/data/eia_hydro_annual_generation.csv index c6184e7733..e1a68022ae 100644 --- a/data/eia_hydro_annual_generation.csv +++ b/data/eia_hydro_annual_generation.csv @@ -1,53 +1,53 @@ -# https://www.eia.gov/international/data/world/electricity/electricity-generation?pd=2&p=000000000000000000000000000000g&u=1&f=A&v=mapbubble&a=-&i=none&vo=value&t=R&g=000000000000002&l=73-1028i008017kg6368g80a4k000e0ag00gg0004g8g0ho00g000400008&l=72-00000000000000000000000000080000000000000000000g&s=315532800000&e=1672531200000&ev=false&,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -Report generated on: 02-05-2025 17:16:19,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -API,,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023 -,hydroelectricity net generation (billion kWh),,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -INTL.33-12-EURO-BKWH.A, Europe,458.018,464.155,459.881,473.685,481.241,476.739,459.535,491.085,534.517,465.365,474.466,475.47,509.041,526.448,531.815,543.743,529.114164,543.845616,562.491501,566.861453,588.7927,584.9552,539.2114,503.8397,542.2774,543.1767,534.702,538.1487,565.4261,562.0424,617.9679,541.2136,598.3314,629.7937,617.4746,613.6157,628.2791,561.0608,617.5364,607.1368,645.1734936,632.2837209,544.8694536,611.7024594 -INTL.33-12-ALB-BKWH.A, Albania,2.919,3.018,3.093,3.167,3.241,3.315,3.365,3.979,3.713,3.846,2.82,3.483,3.187,3.281,3.733,4.162,5.669,4.978,4.872,5.231,4.548,3.519,3.477,5.117,5.411,5.319,4.951,2.76,3.759,5.201,7.567,4.132,4.725,6.959,4.724,5.895,7.782,4.525,8.552,5.184,5.281,8.896,6.813,8.709 -INTL.33-12-AUT-BKWH.A, Austria,28.501,30.008,29.893,29.577,28.384,30.288,30.496,25.401,35.151,34.641,31.179,31.112,34.483,36.336,35.349,36.696,33.874,35.744,36.792,40.292,41.418,40.05,39.825,32.883,36.394,36.31,35.48,36.732,37.969,40.487,36.466,32.511,41.862,40.138,39.001,35.255,37.954,36.462,35.73,40.4365,41.9356096,40.9356439,34.705,39.93731831 -INTL.33-12-BEL-BKWH.A, Belgium,0.274,0.377,0.325,0.331,0.348,0.282,0.339,0.425,0.354,0.3,0.263,0.226,0.338,0.252,0.342,0.335,0.237,0.30195,0.38511,0.338,0.455,0.437,0.356,0.245,0.314,0.285,0.355,0.385,0.406,0.325,0.298,0.193,0.353,0.376,0.289,0.314,0.367,0.268,0.3135,0.302,0.2669,0.3933,0.2186,0.363087669 -INTL.33-12-BIH-BKWH.A, Bosnia and Herzegovina,--,--,--,--,--,--,--,--,--,--,--,--,3.374,2.343,3.424,3.607,5.104,4.608,4.511,5.477,5.043,5.129,5.215,4.456,5.919,5.938,5.798,3.961,4.818,6.177,7.946,4.343,4.173,7.164,5.876,5.495,5.585,3.987,6.519,6.172,4.663,6.796,4.747,5.542352941 -INTL.33-12-BGR-BKWH.A, Bulgaria,3.674,3.58,3.018,3.318,3.226,2.214,2.302,2.512,2.569,2.662,1.859,2.417,2.042,1.923,1.453,2.291,2.89,2.726,3.066,2.725,2.646,1.72,2.172,2.999,3.136,4.294,4.196,2.845,2.796,3.435,4.9817,2.8433,3.1462,3.9956,4.556,5.5984,3.8412,2.7997,5.0955,2.9295,2.8204,4.8192,3.7340143,3.0991082 -INTL.33-12-HRV-BKWH.A, Croatia,--,--,--,--,--,--,--,--,--,--,--,--,4.298,4.302,4.881,5.212,7.156,5.234,5.403,6.524,5.794,6.482,5.311,4.827,6.888,6.27,5.94,4.194,5.164,6.663,9.035,4.983,4.789,8.536,8.917,6.522,6.967,5.4378,7.6971,5.8541,5.7476,7.185,5.4678862,8.2270861 -INTL.33-12-CYP-BKWH.A, Cyprus,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 -INTL.33-12-CZE-BKWH.A, Czechia,--,--,--,--,--,--,--,--,--,--,--,--,--,1.355,1.445,1.982,1.949,1.68201,1.382,1.664,1.7404,2.033,2.467,1.369,1.999,2.356,2.525,2.068,2.004,2.405,2.775,1.95,2.107,2.704,1.909,1.779,1.983,1.852,1.615,1.9879,2.1439,2.4085,2.06,2.317578495 -INTL.33-12-DNK-BKWH.A, Denmark,0.03,0.031,0.028,0.036,0.028,0.027,0.029,0.029,0.032,0.027,0.027,0.026,0.028,0.027,0.033,0.03,0.019,0.019,0.02673,0.031,0.03,0.028,0.032,0.021,0.027,0.023,0.023,0.028,0.026,0.019,0.021,0.017,0.017,0.013,0.015,0.018,0.0193,0.0179,0.0149,0.017,0.0171,0.0163,0.014834,0.0196861 -INTL.33-12-EST-BKWH.A, Estonia,--,--,--,--,--,--,--,--,--,--,--,--,0.001,0.001,0.003,0.002,0.002,0.003,0.004,0.004,0.005,0.007,0.006,0.013,0.022,0.022,0.014,0.021,0.028,0.032,0.027,0.03,0.042,0.026,0.027,0.027,0.035,0.026,0.015,0.019,0.03,0.023,0.023,0.0227393 -INTL.33-12-FRO-BKWH.A, Faroe Islands,0.049,0.049,0.049,0.049,0.049,0.049,0.049,0.049,0.062,0.071,0.074,0.074,0.083,0.073,0.075,0.075,0.069564,0.075066,0.076501,0.069453,0.0753,0.0752,0.0955,0.0848,0.0934,0.098,0.0999,0.1034,0.0949,0.0915,0.0668,0.092,0.099,0.091,0.121,0.132,0.105,0.11,0.107,0.102,0.11,0.11,0.131,0.131 -INTL.33-12-FIN-BKWH.A, Finland,10.115,13.518,12.958,13.445,13.115,12.211,12.266,13.658,13.229,12.9,10.75,13.065,14.956,13.341,11.669,12.796,11.742,12.11958,14.9,12.652,14.513,13.073,10.668,9.495,14.919,13.646,11.379,14.035,16.941,12.559,12.743,12.278,16.667,12.672,13.24,16.584,15.6341,14.6095,13.137,12.2455,15.6693,15.6231,13.4627875,15.2 -INTL.33-12-CSK-BKWH.A, Former Czechoslovakia,4.8,4.2,3.7,3.9,3.2,4.3,4,4.853,4.355,4.229,3.919,3.119,3.602,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- -INTL.33-12-SCG-BKWH.A, Former Serbia and Montenegro,--,--,--,--,--,--,--,--,--,--,--,--,11.23,10.395,11.016,12.071,14.266,12.636,12.763,13.243,11.88,12.326,11.633,9.752,11.01,11.912,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- -INTL.33-12-YUG-BKWH.A, Former Yugoslavia,27.868,25.044,23.295,21.623,25.645,24.363,27.474,25.98,25.612,23.256,19.601,18.929,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- -INTL.33-12-FRA-BKWH.A, France,68.253,70.358,68.6,67.515,64.01,60.248,60.953,68.623,73.952,45.744,52.796,56.277,68.313,64.3,78.057,72.196,64.43,63.151,61.479,71.832,66.466,73.888,59.992,58.567,59.276,50.965,55.741,57.029,63.017,56.428,61.945,45.184,59.099,71.042,62.993,54.876,60.094,49.389,64.485,56.9139,62.5945,59.625,44.61,55.58977674 -INTL.33-12-DEU-BKWH.A, Germany,--,--,--,--,--,--,--,--,--,--,--,14.742,17.223,17.699,19.731,21.562,21.737,17.18343,17.044,19.451,21.515,22.506,22.893,19.071,20.866,19.442,19.808,20.957,20.239,18.841,20.678,17.323,21.331,22.66,19.31,18.664,20.214,19.985,17.694,19.731,18.322,19.252,17.383,19.95763773 -INTL.33-12-DDR-BKWH.A," Germany, East",1.658,1.718,1.748,1.683,1.748,1.758,1.767,1.726,1.719,1.551,1.389,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- -INTL.33-12-DEUW-BKWH.A," Germany, West",17.125,17.889,17.694,16.713,16.434,15.354,16.526,18.36,18.128,16.482,15.769,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- -INTL.33-12-GIB-BKWH.A, Gibraltar,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 -INTL.33-12-GRC-BKWH.A, Greece,3.396,3.398,3.551,2.331,2.852,2.792,3.222,2.768,2.354,1.888,1.751,3.068,2.181,2.26,2.573,3.494,4.305,3.84318,3.68,4.546,3.656,2.076,2.772,4.718,4.625,4.967,5.806,2.565,3.279,5.32,7.431,3.998,4.387,6.337,4.464,5.782,5.543,3.962,5.035,3.9798,3.3437,5.9092,4,4.719 -INTL.33-12-HUN-BKWH.A, Hungary,0.111,0.166,0.158,0.153,0.179,0.153,0.152,0.167,0.167,0.156,0.176,0.192,0.156,0.164,0.159,0.161,0.205,0.21384,0.15345,0.179,0.176,0.184,0.192,0.169,0.203,0.2,0.184,0.208,0.211,0.226,0.184,0.216,0.206,0.208,0.294,0.2267,0.2533,0.214,0.216,0.213,0.238,0.206,0.1736896,0.2175438 -INTL.33-12-ISL-BKWH.A, Iceland,3.053,3.085,3.407,3.588,3.738,3.667,3.846,3.918,4.169,4.217,4.162,4.162,4.267,4.421,4.47,4.635,4.724,5.15493,5.565,5.987,6.292,6.512,6.907,7.017,7.063,6.949,7.22,8.31,12.303,12.156,12.51,12.382,12.214,12.747,12.554,13.541,13.0916,13.8919,13.6794,13.3291,12.9196,13.5777,13.9401712,14.104043 -INTL.33-12-IRL-BKWH.A, Ireland,0.833,0.855,0.792,0.776,0.68,0.824,0.91,0.673,0.862,0.684,0.69,0.738,0.809,0.757,0.911,0.706,0.715,0.67122,0.907,0.838,0.838,0.59,0.903,0.592,0.624,0.625,0.717,0.66,0.959,0.893,0.593,0.699,0.795,0.593,0.701,0.798,0.674,0.685,0.687,0.8781,0.9327,0.7501,0.6954,0.900004369 -INTL.33-12-ITA-BKWH.A, Italy,44.997,42.782,41.216,40.96,41.923,40.616,40.626,39.05,40.205,33.647,31.31,41.817,41.778,41.011,44.212,37.404,41.617,41.18697,40.808,44.911,43.763,46.343,39.125,33.303,41.915,35.706,36.624,32.488,41.207,48.647,50.506,45.3648,41.4562,52.2463,57.9596,45.0816,42.0077,35.837,48.2991,45.3182,47.5518,44.739,28.264,38.42539908 -INTL.33-12-XKS-BKWH.A, Kosovo,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,0.075,0.119,0.154,0.104,0.095,0.142,0.149,0.139,0.243,0.177,0.2703,0.2079,0.2628,0.297,0.266,0.393 -INTL.33-12-LVA-BKWH.A, Latvia,--,--,--,--,--,--,--,--,--,--,--,--,2.498,2.846,3.272,2.908,1.841,2.922,2.99,2.729,2.791,2.805,2.438,2.243,3.078,3.293,2.671,2.706,3.078,3.422,3.488,2.8568,3.677,2.838,1.953,1.841,2.5228,4.3555,2.4171,2.0959,2.584,2.6884,2.731329,3.7734564 -INTL.33-12-LTU-BKWH.A, Lithuania,--,--,--,--,--,--,--,--,--,--,--,--,0.308,0.389,0.447,0.369,0.323,0.291,0.413,0.409,0.336,0.322,0.35,0.323,0.417,0.4462,0.393,0.417,0.398,0.42,0.535,0.475,0.419,0.516,0.395,0.346,0.45,0.597,0.427,0.3425,0.3006,0.3837,0.438,0.433949054 -INTL.33-12-LUX-BKWH.A, Luxembourg,0.086,0.095,0.084,0.083,0.088,0.071,0.084,0.101,0.097,0.072,0.07,0.083,0.069,0.066,0.117,0.087,0.059,0.082,0.114,0.084,0.119,0.117,0.098,0.078,0.103,0.093,0.11,0.116,0.131,0.105,0.104,0.061,0.095,0.114,0.104,0.095,0.111,0.082,0.089,0.1059,0.0916,0.1068,0.0877,0.093934399 -INTL.33-12-MLT-BKWH.A, Malta,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 -INTL.33-12-MNE-BKWH.A, Montenegro,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,1.75,1.284,1.539,2.071,2.75,1.204,1.477,2.504,1.752,1.491,1.843,1.024,2.113,1.634,1.448,2.01,1.435,2.221 -INTL.33-12-NLD-BKWH.A, Netherlands,0,0,0,0,0,0.003,0.003,0.001,0.002,0.037,0.119,0.079,0.119,0.091,0.1,0.087,0.079,0.09108,0.111,0.089,0.141,0.116,0.109,0.071,0.094,0.087,0.105,0.106,0.101,0.097,0.105,0.057,0.1044,0.1143,0.1122,0.0927,0.1001,0.0608,0.0723,0.0742,0.0461,0.0881,0.0528777,0.0680282 -INTL.33-12-MKD-BKWH.A, North Macedonia,--,--,--,--,--,--,--,--,--,--,--,--,0.817,0.517,0.696,0.793,0.842,0.891,1.072,1.375,1.158,0.62,0.749,1.36,1.467,1.477,1.634,1,0.832,1.257,2.407,1.419,1.031,1.568,1.195,1.846,1.8697,1.087,1.7745,1.1554,1.2719,1.4462,1.3402141,1.6178858 -INTL.33-12-NOR-BKWH.A, Norway,82.717,91.876,91.507,104.704,104.895,101.464,95.321,102.341,107.919,117.369,119.933,109.032,115.505,118.024,110.398,120.315,102.823,108.677,114.546,120.237,140.4,119.258,128.078,104.425,107.693,134.331,118.175,132.319,137.654,124.03,116.257,119.78,141.189,127.551,134.844,136.662,142.244,141.651,138.202,123.6629,141.69,144.368,127.62,136.1051265 -INTL.33-12-POL-BKWH.A, Poland,2.326,2.116,1.528,1.658,1.394,1.833,1.534,1.644,1.775,1.593,1.403,1.411,1.492,1.473,1.716,1.868,1.912,1.941,2.286,2.133,2.085,2.302,2.256,1.654,2.06,2.179,2.022,2.328,2.13,2.351,2.9,2.313,2.02,2.421,2.165,1.814,2.117,2.552,1.949,1.9384,2.118337,2.339192,1.968,2.407 -INTL.33-12-PRT-BKWH.A, Portugal,7.873,4.934,6.82,7.897,9.609,10.512,8.364,9.005,12.037,5.72,9.065,8.952,4.599,8.453,10.551,8.26,14.613,12.97395,12.853,7.213,11.21,13.894,7.722,15.566,9.77,4.684,10.892,9.991,6.73,8.201,15.954,11.423,5.589,13.652,15.471,8.615,15.608,5.79,12.316,8.6526,12.0826,11.8465,6.458,11.97867144 -INTL.33-12-ROU-BKWH.A, Romania,12.506,12.605,11.731,9.934,11.208,11.772,10.688,11.084,13.479,12.497,10.87,14.107,11.583,12.64,12.916,16.526,15.597,17.334,18.69,18.107,14.778,14.923,16.046,13.259,16.513,20.207,18.356,15.966,17.195,15.534,19.883,14.728,12.066,14.957,18.806,16.633,18.028,14.4942,17.6643,15.5807,15.3814,17.412,13.97797,18.8223471 -INTL.33-12-SRB-BKWH.A, Serbia,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,10.35,9.463,9.564,10.541,11.891,8.667,9.286,10.203,11.003,10.08,10.792,9.153,10.639,9.457,9.035,11.284,9.137,12.9199956 -INTL.33-12-SVK-BKWH.A, Slovakia,--,--,--,--,--,--,--,--,--,--,--,--,--,3.432,4.311,4.831,4.185,4.023,4.224,4.429,4.569,4.878,5.215,3.4452,4.059,4.592,4.355,4.406,4,4.324,5.184,3.211,3.687,4.329,3.762,3.701,4.302,4.321,3.506,4.2738,4.517,4.17,3.1987,4.132350772 -INTL.33-12-SVN-BKWH.A, Slovenia,--,--,--,--,--,--,--,--,--,--,--,--,3.379,2.974,3.348,3.187,3.616,3.046,3.4,3.684,3.771,3.741,3.265,2.916,4.033,3.426,3.555,3.233,3.978,4.666,4.452,3.506,3.841,4.562,6.011,3.75,4.443,3.814,4.643,4.4342,4.9341,4.7119,3.1002,4.916099225 -INTL.33-12-ESP-BKWH.A, Spain,29.16,21.64,25.99,26.696,31.088,30.895,26.105,27.016,34.76,19.046,25.16,27.01,18.731,24.133,27.898,22.881,39.404,34.43,33.665,22.634,29.274,40.617,22.691,40.643,31.359,18.209,25.699,27.036,23.13,26.147,41.576,30.07,20.192,36.45,38.815,27.656,35.77,18.007,33.743,24.2303,30.507,29.626,17.0808,24.64798492 -INTL.33-12-SWE-BKWH.A, Sweden,58.133,59.006,54.369,62.801,67.106,70.095,60.134,70.95,69.016,70.911,71.778,62.603,73.588,73.905,58.508,67.421,51.2226,68.365,74.25,70.974,77.798,78.269,65.696,53.005,59.522,72.075,61.106,65.497,68.378,65.193,66.279,66.047,78.333,60.81,63.227,74.734,61.645,64.651,61.79,64.4658,71.6,71.086,72.8013,65.58928923 -INTL.33-12-CHE-BKWH.A, Switzerland,32.481,35.13,35.974,35.069,29.871,31.731,32.576,34.328,35.437,29.477,29.497,31.756,32.373,35.416,38.678,34.817,28.458,33.70257,33.136,37.104,33.854,38.29,32.323,31.948,30.938,28.664,28.273,32.362,33.214,32.833,33.261,29.906,35.783,35.628,35.122,35.378,31.984,31.4797,32.0959,35.157,37.867647,36.964485,29.84788,36.98341587 -INTL.33-12-TUR-BKWH.A, Turkiye,11.159,12.308,13.81,11.13,13.19,11.822,11.637,18.314,28.447,17.61,22.917,22.456,26.302,33.611,30.28,35.186,40.07,39.41784,41.80671,34.33,30.57,23.77,33.346,34.977,45.623,39.165,43.802,35.492,32.937,35.598,51.423,51.155,56.669,58.225,39.75,65.856,66.6859,57.8239,59.4902,88.2094,78.0944,55.1755,66.745,61.8794613 -INTL.33-12-GBR-BKWH.A, United Kingdom,3.921,4.369,4.543,4.548,3.992,4.08,4.767,4.13,4.915,4.732,5.119,4.534,5.329,4.237,5.043,4.79,3.359,4.127,5.117,5.336,5.085,4.055,4.7879,3.2277,4.844,4.9215,4.5931,5.0773,5.1412,5.2279,3.5914,5.6917,5.3096,4.7015,5.8878,6.2973,5.3704,5.8819,5.4433,5.8463,6.7539,5.0149,6.1401,5.237101777 -, Eurasia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, -INTL.33-12-MDA-BKWH.A, Moldova,--,--,--,--,--,--,--,--,--,--,--,--,0.255,0.371,0.275,0.321,0.362,0.378,0.387,0.363,0.392,0.359,0.348,0.358,0.35,0.359,0.365,0.354,0.385,0.354,0.403,0.348,0.266,0.311,0.317,0.265,0.228,0.282,0.2732,0.298,0.276,0.316,0.29,0.317 -INTL.33-12-UKR-BKWH.A, Ukraine,--,--,--,--,--,--,--,--,--,--,--,--,7.725,10.929,11.997,9.853,8.546,9.757,15.756,14.177,11.45,12.201,9.789,9.39,11.888,12.505,13.034,10.259,11.512,11.936,13.152,10.946,10.994,14.472,9.321,6.971,9.304,10.519,12.007,7.855,7.5638,10.3326,9.351,10.713 \ No newline at end of file +# https://www.eia.gov/international/data/world/electricity/electricity-generation?pd=2&p=000000000000000000000000000000g&u=1&f=A&v=mapbubble&a=-&i=none&vo=value&t=R&g=000000000000002&l=73-1028i008017kg6368g80a4k000e0ag00gg0004g8g0ho00g000400008&l=72-00000000000000000000000000080000000000000000000g&s=315532800000&e=1672531200000&ev=false&,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +Report generated on: 02-05-2025 17:16:19,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +API,,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2030 +,hydroelectricity net generation (billion kWh),,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +INTL.33-12-EURO-BKWH.A, Europe,458.018,464.155,459.881,473.685,481.241,476.739,459.535,491.085,534.517,465.365,474.466,475.47,509.041,526.448,531.815,543.743,529.114164,543.845616,562.491501,566.861453,588.7927,584.9552,539.2114,503.8397,542.2774,543.1767,534.702,538.1487,565.4261,562.0424,617.9679,541.2136,598.3314,629.7937,617.4746,613.6157,628.2791,561.0608,617.5364,607.1368,645.1734936,632.2837209,544.8694536,611.7024594,611.7024594 +INTL.33-12-ALB-BKWH.A, Albania,2.919,3.018,3.093,3.167,3.241,3.315,3.365,3.979,3.713,3.846,2.82,3.483,3.187,3.281,3.733,4.162,5.669,4.978,4.872,5.231,4.548,3.519,3.477,5.117,5.411,5.319,4.951,2.76,3.759,5.201,7.567,4.132,4.725,6.959,4.724,5.895,7.782,4.525,8.552,5.184,5.281,8.896,6.813,8.709,8.709 +INTL.33-12-AUT-BKWH.A, Austria,28.501,30.008,29.893,29.577,28.384,30.288,30.496,25.401,35.151,34.641,31.179,31.112,34.483,36.336,35.349,36.696,33.874,35.744,36.792,40.292,41.418,40.05,39.825,32.883,36.394,36.31,35.48,36.732,37.969,40.487,36.466,32.511,41.862,40.138,39.001,35.255,37.954,36.462,35.73,40.4365,41.9356096,40.9356439,34.705,39.93731831,39.93731831 +INTL.33-12-BEL-BKWH.A, Belgium,0.274,0.377,0.325,0.331,0.348,0.282,0.339,0.425,0.354,0.3,0.263,0.226,0.338,0.252,0.342,0.335,0.237,0.30195,0.38511,0.338,0.455,0.437,0.356,0.245,0.314,0.285,0.355,0.385,0.406,0.325,0.298,0.193,0.353,0.376,0.289,0.314,0.367,0.268,0.3135,0.302,0.2669,0.3933,0.2186,0.363087669,0.363087669 +INTL.33-12-BIH-BKWH.A, Bosnia and Herzegovina,--,--,--,--,--,--,--,--,--,--,--,--,3.374,2.343,3.424,3.607,5.104,4.608,4.511,5.477,5.043,5.129,5.215,4.456,5.919,5.938,5.798,3.961,4.818,6.177,7.946,4.343,4.173,7.164,5.876,5.495,5.585,3.987,6.519,6.172,4.663,6.796,4.747,5.542352941,5.542352941 +INTL.33-12-BGR-BKWH.A, Bulgaria,3.674,3.58,3.018,3.318,3.226,2.214,2.302,2.512,2.569,2.662,1.859,2.417,2.042,1.923,1.453,2.291,2.89,2.726,3.066,2.725,2.646,1.72,2.172,2.999,3.136,4.294,4.196,2.845,2.796,3.435,4.9817,2.8433,3.1462,3.9956,4.556,5.5984,3.8412,2.7997,5.0955,2.9295,2.8204,4.8192,3.7340143,3.0991082,3.0991082 +INTL.33-12-HRV-BKWH.A, Croatia,--,--,--,--,--,--,--,--,--,--,--,--,4.298,4.302,4.881,5.212,7.156,5.234,5.403,6.524,5.794,6.482,5.311,4.827,6.888,6.27,5.94,4.194,5.164,6.663,9.035,4.983,4.789,8.536,8.917,6.522,6.967,5.4378,7.6971,5.8541,5.7476,7.185,5.4678862,8.2270861,8.2270861 +INTL.33-12-CYP-BKWH.A, Cyprus,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +INTL.33-12-CZE-BKWH.A, Czechia,--,--,--,--,--,--,--,--,--,--,--,--,--,1.355,1.445,1.982,1.949,1.68201,1.382,1.664,1.7404,2.033,2.467,1.369,1.999,2.356,2.525,2.068,2.004,2.405,2.775,1.95,2.107,2.704,1.909,1.779,1.983,1.852,1.615,1.9879,2.1439,2.4085,2.06,2.317578495,2.317578495 +INTL.33-12-DNK-BKWH.A, Denmark,0.03,0.031,0.028,0.036,0.028,0.027,0.029,0.029,0.032,0.027,0.027,0.026,0.028,0.027,0.033,0.03,0.019,0.019,0.02673,0.031,0.03,0.028,0.032,0.021,0.027,0.023,0.023,0.028,0.026,0.019,0.021,0.017,0.017,0.013,0.015,0.018,0.0193,0.0179,0.0149,0.017,0.0171,0.0163,0.014834,0.0196861,0.0196861 +INTL.33-12-EST-BKWH.A, Estonia,--,--,--,--,--,--,--,--,--,--,--,--,0.001,0.001,0.003,0.002,0.002,0.003,0.004,0.004,0.005,0.007,0.006,0.013,0.022,0.022,0.014,0.021,0.028,0.032,0.027,0.03,0.042,0.026,0.027,0.027,0.035,0.026,0.015,0.019,0.03,0.023,0.023,0.0227393,0.0227393 +INTL.33-12-FRO-BKWH.A, Faroe Islands,0.049,0.049,0.049,0.049,0.049,0.049,0.049,0.049,0.062,0.071,0.074,0.074,0.083,0.073,0.075,0.075,0.069564,0.075066,0.076501,0.069453,0.0753,0.0752,0.0955,0.0848,0.0934,0.098,0.0999,0.1034,0.0949,0.0915,0.0668,0.092,0.099,0.091,0.121,0.132,0.105,0.11,0.107,0.102,0.11,0.11,0.131,0.131,0.131 +INTL.33-12-FIN-BKWH.A, Finland,10.115,13.518,12.958,13.445,13.115,12.211,12.266,13.658,13.229,12.9,10.75,13.065,14.956,13.341,11.669,12.796,11.742,12.11958,14.9,12.652,14.513,13.073,10.668,9.495,14.919,13.646,11.379,14.035,16.941,12.559,12.743,12.278,16.667,12.672,13.24,16.584,15.6341,14.6095,13.137,12.2455,15.6693,15.6231,13.4627875,15.2,15.2 +INTL.33-12-CSK-BKWH.A, Former Czechoslovakia,4.8,4.2,3.7,3.9,3.2,4.3,4,4.853,4.355,4.229,3.919,3.119,3.602,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- +INTL.33-12-SCG-BKWH.A, Former Serbia and Montenegro,--,--,--,--,--,--,--,--,--,--,--,--,11.23,10.395,11.016,12.071,14.266,12.636,12.763,13.243,11.88,12.326,11.633,9.752,11.01,11.912,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- +INTL.33-12-YUG-BKWH.A, Former Yugoslavia,27.868,25.044,23.295,21.623,25.645,24.363,27.474,25.98,25.612,23.256,19.601,18.929,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- +INTL.33-12-FRA-BKWH.A, France,68.253,70.358,68.6,67.515,64.01,60.248,60.953,68.623,73.952,45.744,52.796,56.277,68.313,64.3,78.057,72.196,64.43,63.151,61.479,71.832,66.466,73.888,59.992,58.567,59.276,50.965,55.741,57.029,63.017,56.428,61.945,45.184,59.099,71.042,62.993,54.876,60.094,49.389,64.485,56.9139,62.5945,59.625,44.61,55.58977674,55.58977674 +INTL.33-12-DEU-BKWH.A, Germany,--,--,--,--,--,--,--,--,--,--,--,14.742,17.223,17.699,19.731,21.562,21.737,17.18343,17.044,19.451,21.515,22.506,22.893,19.071,20.866,19.442,19.808,20.957,20.239,18.841,20.678,17.323,21.331,22.66,19.31,18.664,20.214,19.985,17.694,19.731,18.322,19.252,17.383,19.95763773,19.95763773 +INTL.33-12-DDR-BKWH.A," Germany, East",1.658,1.718,1.748,1.683,1.748,1.758,1.767,1.726,1.719,1.551,1.389,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- +INTL.33-12-DEUW-BKWH.A," Germany, West",17.125,17.889,17.694,16.713,16.434,15.354,16.526,18.36,18.128,16.482,15.769,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,-- +INTL.33-12-GIB-BKWH.A, Gibraltar,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +INTL.33-12-GRC-BKWH.A, Greece,3.396,3.398,3.551,2.331,2.852,2.792,3.222,2.768,2.354,1.888,1.751,3.068,2.181,2.26,2.573,3.494,4.305,3.84318,3.68,4.546,3.656,2.076,2.772,4.718,4.625,4.967,5.806,2.565,3.279,5.32,7.431,3.998,4.387,6.337,4.464,5.782,5.543,3.962,5.035,3.9798,3.3437,5.9092,4,4.719,4.719 +INTL.33-12-HUN-BKWH.A, Hungary,0.111,0.166,0.158,0.153,0.179,0.153,0.152,0.167,0.167,0.156,0.176,0.192,0.156,0.164,0.159,0.161,0.205,0.21384,0.15345,0.179,0.176,0.184,0.192,0.169,0.203,0.2,0.184,0.208,0.211,0.226,0.184,0.216,0.206,0.208,0.294,0.2267,0.2533,0.214,0.216,0.213,0.238,0.206,0.1736896,0.2175438,0.2175438 +INTL.33-12-ISL-BKWH.A, Iceland,3.053,3.085,3.407,3.588,3.738,3.667,3.846,3.918,4.169,4.217,4.162,4.162,4.267,4.421,4.47,4.635,4.724,5.15493,5.565,5.987,6.292,6.512,6.907,7.017,7.063,6.949,7.22,8.31,12.303,12.156,12.51,12.382,12.214,12.747,12.554,13.541,13.0916,13.8919,13.6794,13.3291,12.9196,13.5777,13.9401712,14.104043,14.104043 +INTL.33-12-IRL-BKWH.A, Ireland,0.833,0.855,0.792,0.776,0.68,0.824,0.91,0.673,0.862,0.684,0.69,0.738,0.809,0.757,0.911,0.706,0.715,0.67122,0.907,0.838,0.838,0.59,0.903,0.592,0.624,0.625,0.717,0.66,0.959,0.893,0.593,0.699,0.795,0.593,0.701,0.798,0.674,0.685,0.687,0.8781,0.9327,0.7501,0.6954,0.900004369,0.900004369 +INTL.33-12-ITA-BKWH.A, Italy,44.997,42.782,41.216,40.96,41.923,40.616,40.626,39.05,40.205,33.647,31.31,41.817,41.778,41.011,44.212,37.404,41.617,41.18697,40.808,44.911,43.763,46.343,39.125,33.303,41.915,35.706,36.624,32.488,41.207,48.647,50.506,45.3648,41.4562,52.2463,57.9596,45.0816,42.0077,35.837,48.2991,45.3182,47.5518,44.739,28.264,38.42539908,38.42539908 +INTL.33-12-XKS-BKWH.A, Kosovo,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,0.075,0.119,0.154,0.104,0.095,0.142,0.149,0.139,0.243,0.177,0.2703,0.2079,0.2628,0.297,0.266,0.393,0.393 +INTL.33-12-LVA-BKWH.A, Latvia,--,--,--,--,--,--,--,--,--,--,--,--,2.498,2.846,3.272,2.908,1.841,2.922,2.99,2.729,2.791,2.805,2.438,2.243,3.078,3.293,2.671,2.706,3.078,3.422,3.488,2.8568,3.677,2.838,1.953,1.841,2.5228,4.3555,2.4171,2.0959,2.584,2.6884,2.731329,3.7734564,3.7734564 +INTL.33-12-LTU-BKWH.A, Lithuania,--,--,--,--,--,--,--,--,--,--,--,--,0.308,0.389,0.447,0.369,0.323,0.291,0.413,0.409,0.336,0.322,0.35,0.323,0.417,0.4462,0.393,0.417,0.398,0.42,0.535,0.475,0.419,0.516,0.395,0.346,0.45,0.597,0.427,0.3425,0.3006,0.3837,0.438,0.433949054,0.433949054 +INTL.33-12-LUX-BKWH.A, Luxembourg,0.086,0.095,0.084,0.083,0.088,0.071,0.084,0.101,0.097,0.072,0.07,0.083,0.069,0.066,0.117,0.087,0.059,0.082,0.114,0.084,0.119,0.117,0.098,0.078,0.103,0.093,0.11,0.116,0.131,0.105,0.104,0.061,0.095,0.114,0.104,0.095,0.111,0.082,0.089,0.1059,0.0916,0.1068,0.0877,0.093934399,0.093934399 +INTL.33-12-MLT-BKWH.A, Malta,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 +INTL.33-12-MNE-BKWH.A, Montenegro,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,1.75,1.284,1.539,2.071,2.75,1.204,1.477,2.504,1.752,1.491,1.843,1.024,2.113,1.634,1.448,2.01,1.435,2.221,2.221 +INTL.33-12-NLD-BKWH.A, Netherlands,0,0,0,0,0,0.003,0.003,0.001,0.002,0.037,0.119,0.079,0.119,0.091,0.1,0.087,0.079,0.09108,0.111,0.089,0.141,0.116,0.109,0.071,0.094,0.087,0.105,0.106,0.101,0.097,0.105,0.057,0.1044,0.1143,0.1122,0.0927,0.1001,0.0608,0.0723,0.0742,0.0461,0.0881,0.0528777,0.0680282,0.0680282 +INTL.33-12-MKD-BKWH.A, North Macedonia,--,--,--,--,--,--,--,--,--,--,--,--,0.817,0.517,0.696,0.793,0.842,0.891,1.072,1.375,1.158,0.62,0.749,1.36,1.467,1.477,1.634,1,0.832,1.257,2.407,1.419,1.031,1.568,1.195,1.846,1.8697,1.087,1.7745,1.1554,1.2719,1.4462,1.3402141,1.6178858,1.6178858 +INTL.33-12-NOR-BKWH.A, Norway,82.717,91.876,91.507,104.704,104.895,101.464,95.321,102.341,107.919,117.369,119.933,109.032,115.505,118.024,110.398,120.315,102.823,108.677,114.546,120.237,140.4,119.258,128.078,104.425,107.693,134.331,118.175,132.319,137.654,124.03,116.257,119.78,141.189,127.551,134.844,136.662,142.244,141.651,138.202,123.6629,141.69,144.368,127.62,136.1051265,136.1051265 +INTL.33-12-POL-BKWH.A, Poland,2.326,2.116,1.528,1.658,1.394,1.833,1.534,1.644,1.775,1.593,1.403,1.411,1.492,1.473,1.716,1.868,1.912,1.941,2.286,2.133,2.085,2.302,2.256,1.654,2.06,2.179,2.022,2.328,2.13,2.351,2.9,2.313,2.02,2.421,2.165,1.814,2.117,2.552,1.949,1.9384,2.118337,2.339192,1.968,2.407,2.407 +INTL.33-12-PRT-BKWH.A, Portugal,7.873,4.934,6.82,7.897,9.609,10.512,8.364,9.005,12.037,5.72,9.065,8.952,4.599,8.453,10.551,8.26,14.613,12.97395,12.853,7.213,11.21,13.894,7.722,15.566,9.77,4.684,10.892,9.991,6.73,8.201,15.954,11.423,5.589,13.652,15.471,8.615,15.608,5.79,12.316,8.6526,12.0826,11.8465,6.458,11.97867144,11.97867144 +INTL.33-12-ROU-BKWH.A, Romania,12.506,12.605,11.731,9.934,11.208,11.772,10.688,11.084,13.479,12.497,10.87,14.107,11.583,12.64,12.916,16.526,15.597,17.334,18.69,18.107,14.778,14.923,16.046,13.259,16.513,20.207,18.356,15.966,17.195,15.534,19.883,14.728,12.066,14.957,18.806,16.633,18.028,14.4942,17.6643,15.5807,15.3814,17.412,13.97797,18.8223471,18.8223471 +INTL.33-12-SRB-BKWH.A, Serbia,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,--,10.35,9.463,9.564,10.541,11.891,8.667,9.286,10.203,11.003,10.08,10.792,9.153,10.639,9.457,9.035,11.284,9.137,12.9199956,12.9199956 +INTL.33-12-SVK-BKWH.A, Slovakia,--,--,--,--,--,--,--,--,--,--,--,--,--,3.432,4.311,4.831,4.185,4.023,4.224,4.429,4.569,4.878,5.215,3.4452,4.059,4.592,4.355,4.406,4,4.324,5.184,3.211,3.687,4.329,3.762,3.701,4.302,4.321,3.506,4.2738,4.517,4.17,3.1987,4.132350772,4.132350772 +INTL.33-12-SVN-BKWH.A, Slovenia,--,--,--,--,--,--,--,--,--,--,--,--,3.379,2.974,3.348,3.187,3.616,3.046,3.4,3.684,3.771,3.741,3.265,2.916,4.033,3.426,3.555,3.233,3.978,4.666,4.452,3.506,3.841,4.562,6.011,3.75,4.443,3.814,4.643,4.4342,4.9341,4.7119,3.1002,4.916099225,4.916099225 +INTL.33-12-ESP-BKWH.A, Spain,29.16,21.64,25.99,26.696,31.088,30.895,26.105,27.016,34.76,19.046,25.16,27.01,18.731,24.133,27.898,22.881,39.404,34.43,33.665,22.634,29.274,40.617,22.691,40.643,31.359,18.209,25.699,27.036,23.13,26.147,41.576,30.07,20.192,36.45,38.815,27.656,35.77,18.007,33.743,24.2303,30.507,29.626,17.0808,24.64798492,24.64798492 +INTL.33-12-SWE-BKWH.A, Sweden,58.133,59.006,54.369,62.801,67.106,70.095,60.134,70.95,69.016,70.911,71.778,62.603,73.588,73.905,58.508,67.421,51.2226,68.365,74.25,70.974,77.798,78.269,65.696,53.005,59.522,72.075,61.106,65.497,68.378,65.193,66.279,66.047,78.333,60.81,63.227,74.734,61.645,64.651,61.79,64.4658,71.6,71.086,72.8013,65.58928923,65.58928923 +INTL.33-12-CHE-BKWH.A, Switzerland,32.481,35.13,35.974,35.069,29.871,31.731,32.576,34.328,35.437,29.477,29.497,31.756,32.373,35.416,38.678,34.817,28.458,33.70257,33.136,37.104,33.854,38.29,32.323,31.948,30.938,28.664,28.273,32.362,33.214,32.833,33.261,29.906,35.783,35.628,35.122,35.378,31.984,31.4797,32.0959,35.157,37.867647,36.964485,29.84788,36.98341587,36.98341587 +INTL.33-12-TUR-BKWH.A, Turkiye,11.159,12.308,13.81,11.13,13.19,11.822,11.637,18.314,28.447,17.61,22.917,22.456,26.302,33.611,30.28,35.186,40.07,39.41784,41.80671,34.33,30.57,23.77,33.346,34.977,45.623,39.165,43.802,35.492,32.937,35.598,51.423,51.155,56.669,58.225,39.75,65.856,66.6859,57.8239,59.4902,88.2094,78.0944,55.1755,66.745,61.8794613,61.8794613 +INTL.33-12-GBR-BKWH.A, United Kingdom,3.921,4.369,4.543,4.548,3.992,4.08,4.767,4.13,4.915,4.732,5.119,4.534,5.329,4.237,5.043,4.79,3.359,4.127,5.117,5.336,5.085,4.055,4.7879,3.2277,4.844,4.9215,4.5931,5.0773,5.1412,5.2279,3.5914,5.6917,5.3096,4.7015,5.8878,6.2973,5.3704,5.8819,5.4433,5.8463,6.7539,5.0149,6.1401,5.237101777,5.237101777 +, Eurasia,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +INTL.33-12-MDA-BKWH.A, Moldova,--,--,--,--,--,--,--,--,--,--,--,--,0.255,0.371,0.275,0.321,0.362,0.378,0.387,0.363,0.392,0.359,0.348,0.358,0.35,0.359,0.365,0.354,0.385,0.354,0.403,0.348,0.266,0.311,0.317,0.265,0.228,0.282,0.2732,0.298,0.276,0.316,0.29,0.317,0.317 +INTL.33-12-UKR-BKWH.A, Ukraine,--,--,--,--,--,--,--,--,--,--,--,--,7.725,10.929,11.997,9.853,8.546,9.757,15.756,14.177,11.45,12.201,9.789,9.39,11.888,12.505,13.034,10.259,11.512,11.936,13.152,10.946,10.994,14.472,9.321,6.971,9.304,10.519,12.007,7.855,7.5638,10.3326,9.351,10.713,10.713 diff --git a/doc/configtables/industry.csv b/doc/configtables/industry.csv index fd80e80493..9165a35547 100644 --- a/doc/configtables/industry.csv +++ b/doc/configtables/industry.csv @@ -21,7 +21,7 @@ waste_to_energy,--,bool,Switch to enable expansion of waste to energy CHPs for c waste_to_energy_cc,--,bool,Switch to enable expansion of waste to energy CHPs for conversion of plastics with carbon capture. Default is false. ,,, sector_ratios_fraction_future,--,Dictionary with planning horizons as keys.,The fraction of total progress in fuel and process switching achieved in the industry sector. -basic_chemicals_without_NH3_production_today,Mt/a,float,"The amount of basic chemicals produced without ammonia (= 86 Mtethylene-equiv - 17 MtNH3)." +basic_chemicals_without_NH3_production_today,Mt/a,float,The amount of basic chemicals produced without ammonia (= 86 Mtethylene-equiv - 17 MtNH3). HVC_production_today,MtHVC/a,float,"The amount of high value chemicals (HVC) produced. This includes ethylene, propylene and BTX. From `DECHEMA (2017) `_, Figure 16, page 107" Mwh_elec_per_tHVC _mechanical_recycling,MWh/tHVC,float,"The energy amount of electricity needed to produce a ton of high value chemical (HVC) using mechanical recycling. From SI of `Meys et al (2020) `_, Table S5, for HDPE, PP, PS, PET. LDPE would be 0.756." Mwh_elec_per_tHVC _chemical_recycling,MWh/tHVC,float,"The energy amount of electricity needed to produce a ton of high value chemical (HVC) using chemical recycling. The default value is based on pyrolysis and electric steam cracking. From `Material Economics (2019) `_, page 125" @@ -35,4 +35,5 @@ MWh_CH4_per_tMeOH,MWhCH4/tMeOH,float,"The energy amount of methane needed to pro MWh_MeOH_per_tMeOH,LHV,float,"The energy amount per ton of methanol. From `DECHEMA (2017) `_, page 74." hotmaps_locate_missing,--,"{true,false}",Locate industrial sites without valid locations based on city and countries. reference_year,year,YYYY,The year used as the baseline for industrial energy demand and production. Data extracted from `JRC-IDEES 2015 `_ -oil_refining_emissions,tCO2/MWh,float,"The emissions from oil fuel processing (e.g. oil in petrochemical refinieries). The default value of 0.013 tCO2/MWh is based on DE statistics for 2019; the EU value is very similar." +oil_refining_emissions,tCO2/MWh,float,The emissions from oil fuel processing (e.g. oil in petrochemical refinieries). The default value of 0.013 tCO2/MWh is based on DE statistics for 2019; the EU value is very similar. +temporal_electricity_industry_load,--,"{true,false}",Switch to enable the use of temporally resolved electricity industry load profiles from `FfE (Forschungsstelle fr Energiewirtschaft) 2021 `_. Data is for Germany which is projected to the rest of Europe for the same industries. Default is true. diff --git a/doc/release_notes.rst b/doc/release_notes.rst index a405bc530a..4ffe6d3dcd 100644 --- a/doc/release_notes.rst +++ b/doc/release_notes.rst @@ -9,6 +9,22 @@ Release Notes Upcoming Release ================ +* Fix compatibility of rules `build_gas_input_locations` and `build_gas_network` with pyogrio >=0.12.0 (https://github.com/PyPSA/pypsa-eur/pull/1955). + +* Added interactive (html) balance maps `results/maps/interactive/` (https://github.com/PyPSA/pypsa-eur/pull/1935) based on https://docs.pypsa.org/latest/user-guide/plotting/explore/. Settings for interactive maps can be found in `plotting.default.yaml` under `plotting["balance_map_interactive"]`. + +* Relocated and modified static (pdf) balance maps to `results/maps/static/` (https://github.com/PyPSA/pypsa-eur/pull/1935) for better organization. + +* With https://github.com/PyPSA/pypsa-eur/pull/1935, note that bus carriers for balance maps containing spaces need to be specified with underscores `_` in the configuration file, e.g., `co2_stored` instead of `co2 stored`. This is to ensure compatibility with queue managers like slurm. + +* Fix building osm network using overpass API (https://github.com/PyPSA/pypsa-eur/pull/1940). + +* Added configuration option to set overpass API URL, maximum retries, timeout and user agent information (https://github.com/PyPSA/pypsa-eur/pull/1940 and https://pypsa-eur.readthedocs.io/en/latest/configuration.html#overpass_api). For a list of public overpass APIs see `here `_. + +* Refactored `solve_network.py` and `solve_operations_network.py` to separate optimization problem preparation from solving, enabling inspection of optimization problems before solve execution. + +* Added example configurations for rolling horizon and iterative optimization modes in `config/examples/`. + * Added existing biomass decentral/rural residential and services heating capacity. * Fix parsing in Swiss passenger cars data (https://github.com/PyPSA/pypsa-eur/pull/1934 and https://github.com/PyPSA/pypsa-eur/pull/1936). @@ -119,6 +135,8 @@ Upcoming Release * Misc: Automatically update the DAGs shown in the documentation (https://github.com/PyPSA/pypsa-eur/pull/1880). +* Add configurable **industry electricity demand-side response (DSR)** based on virtual ``Store`` components with time-varying energy bounds per FfE profile. New configuration keys under ``industry: dsr:`` allow setting flexibility fractions, shift hours, checkpoint hours (``restriction_time``) and a global ``restriction_value``; a dedicated build step (``build_industry_dsr_profile``) creates an hourly checkpoint profile that is applied in ``prepare_sector_network.py`` as time-varying ``e_max_pu``/``e_min_pu`` for industry DSR stores, with bus mapping aligned to low-voltage industry loads. + PyPSA-Eur v2025.07.0 (11th July 2025) ===================================== diff --git a/rules/build_sector.smk b/rules/build_sector.smk index c7650bb0f1..e190beb860 100755 --- a/rules/build_sector.smk +++ b/rules/build_sector.smk @@ -1093,6 +1093,9 @@ rule build_industrial_production_per_node: rule build_industrial_energy_demand_per_node: + params: + snapshots=config_provider("snapshots"), + drop_leap_day=config_provider("enable", "drop_leap_day"), input: industry_sector_ratios=resources( "industry_sector_ratios_{planning_horizons}.csv" @@ -1103,10 +1106,18 @@ rule build_industrial_energy_demand_per_node: industrial_energy_demand_per_node_today=resources( "industrial_energy_demand_today_base_s_{clusters}.csv" ), + ffe_profiles="data/ffe_industry_load_profiles.json", + output: industrial_energy_demand_per_node=resources( "industrial_energy_demand_base_s_{clusters}_{planning_horizons}.csv" ), + industrial_electricity_demand_per_node_temporal=resources( + "industrial_electricity_demand_temporal_base_s_{clusters}_{planning_horizons}.csv" + ), + industrial_electricity_demand_per_profile_temporal=resources( + "industrial_electricity_demand_per_profile_temporal_base_s_{clusters}_{planning_horizons}.csv" + ), threads: 1 resources: mem_mb=1000, @@ -1124,6 +1135,29 @@ rule build_industrial_energy_demand_per_node: "../scripts/build_industrial_energy_demand_per_node.py" +rule build_industry_dsr_profile: + params: + restriction_time=config_provider("industry", "dsr", "restriction_time"), + technology_breakdown=config_provider("industry", "dsr", "technology_breakdown", default={}), + input: + industrial_electricity_demand_per_profile_temporal=resources( + "industrial_electricity_demand_per_profile_temporal_base_s_{clusters}_{planning_horizons}.csv" + ), + output: + industrial_dsr_profile=resources( + "industrial_dsr_profile_base_s_{clusters}_{planning_horizons}.csv" + ), + threads: 1 + resources: + mem_mb=500, + log: + logs("build_industry_dsr_profile_{clusters}_{planning_horizons}.log"), + benchmark: + benchmarks("build_industry_dsr_profile/s_{clusters}_{planning_horizons}") + script: + "../scripts/build_industry_dsr_profile.py" + + rule build_industrial_energy_demand_per_country_today: params: countries=config_provider("countries"), @@ -1539,6 +1573,24 @@ rule prepare_sector_network: industrial_demand=resources( "industrial_energy_demand_base_s_{clusters}_{planning_horizons}.csv" ), + industrial_electricity_profiles=resources( + "industrial_electricity_demand_temporal_base_s_{clusters}_{planning_horizons}.csv" + ), + industrial_electricity_profiles_per_profile=lambda w: ( + resources( + "industrial_electricity_demand_per_profile_temporal_base_s_{clusters}_{planning_horizons}.csv" + ) + if config_provider("industry", "temporal_electricity_industry_load")(w) + and config_provider("industry", "dsr", "enable")(w) + else [] + ), + industrial_dsr_profile=lambda w: ( + resources( + "industrial_dsr_profile_base_s_{clusters}_{planning_horizons}.csv" + ) + if config_provider("industry", "dsr", "enable")(w) + else [] + ), hourly_heat_demand_total=resources( "hourly_heat_demand_total_base_s_{clusters}.nc" ), diff --git a/rules/retrieve.smk b/rules/retrieve.smk index c1528660e3..2b9cc82528 100755 --- a/rules/retrieve.smk +++ b/rules/retrieve.smk @@ -3,6 +3,7 @@ # SPDX-License-Identifier: MIT import os +import json import requests from datetime import datetime from dateutil.relativedelta import relativedelta @@ -1158,3 +1159,23 @@ if (MOBILITY_PROFILES_DATASET := dataset_version("mobility_profiles"))["source"] run: copy2(input["kfz"], output["kfz"]) copy2(input["pkw"], output["pkw"]) + + +if config.get("enable", {}).get("retrieve", False): + + rule retrieve_ffe_load_profiles: + output: + "data/ffe_industry_load_profiles.json", + log: + "logs/retrieve_ffe_load_profiles.log", + resources: + mem_mb=1000, + retries: 2 + run: + data = requests.get( + "https://api.opendata.ffe.de/opendata", + params={"id_opendata": 59} + ).json() + + with open(output[0], "w") as f: + json.dump(data, f) diff --git a/scripts/build_energy_totals.py b/scripts/build_energy_totals.py index a5241e5852..8baa9eba74 100644 --- a/scripts/build_energy_totals.py +++ b/scripts/build_energy_totals.py @@ -549,8 +549,70 @@ def idees_per_country(ct: str, base_dir: str) -> pd.DataFrame: df = pd.read_excel(fn_transport, "TrRoad_act", index_col=0) + # Keep only numeric year columns (prevents mixed index types like "Code" / "Unnamed:*") + year_cols = [c for c in df.columns if isinstance(c, (int, np.integer))] + if not year_cols: + raise KeyError("No integer year columns found in TrRoad_act") + + # Ensure the 'Code' column exists and is clean (IDEES sometimes adds trailing ';') + if "Code" not in df.columns: + raise KeyError("Expected 'Code' column in TrRoad_act sheet") + + df["Code"] = df["Code"].astype(str).str.strip().str.rstrip(";") + + def series_by_code(code: str) -> pd.Series: + code = str(code).strip().rstrip(";") + hit = df.loc[df["Code"] == code, year_cols] + if hit.empty: + raise KeyError(f"Code not found in TrRoad_act: {code}") + if len(hit) > 1: + logger.warning(f"Multiple rows found for code '{code}', taking first.") + return pd.to_numeric(hit.iloc[0], errors="coerce") + + # Passenger-km (million passenger-km) time series for passenger cars + def series_by_country_prefix(prefix_template): + candidates = [ + prefix_template.format(ct=ct), + prefix_template.format(ct={"GR": "EL"}.get(ct, ct)), + ] + for code in candidates: + try: + return series_by_code(code) + except KeyError: + continue + raise KeyError(f"No matching IDEES code found for country {ct}") + + ct_totals["passenger_car_pkm"] = series_by_country_prefix( + "Activity.Mpkm.{ct}.Tr.Road.Passenger.Car") + + # Passengers per movement time series for passenger cars + ct_totals["passengers_per_movement"] = series_by_country_prefix( + "Load.passenger_per_movement.{ct}.Tr.Road.Passenger.Car") + + + # Existing: passenger cars stock/activity row (ensure we only keep year columns!) assert df.index[85] == "Passenger cars" - ct_totals["passenger cars"] = df.iloc[85] + ct_totals["passenger cars"] = pd.to_numeric(df.iloc[85][year_cols], errors="coerce") + + + + # --- SANITIZE: ensure all ct_totals Series have a purely numeric year index --- + for k, v in list(ct_totals.items()): + if isinstance(v, pd.Series): + s = v.copy() + + # Convert index to numeric years, drop non-numeric labels (e.g. 'Code', 'Unit', 'Unnamed:*') + years = pd.to_numeric(s.index, errors="coerce") + mask = ~years.isna() + s = s.loc[mask] + s.index = years[mask].astype(int) + + # Optional: sort years (safe) + s = s.sort_index() + + ct_totals[k] = s + + return pd.DataFrame(ct_totals) @@ -604,7 +666,14 @@ def build_idees(countries: list[str]) -> pd.DataFrame: # efficiency kgoe/100km -> ktoe/100km so that after conversion TWh/100km totals.loc[:, "passenger car efficiency"] /= 1e6 # convert ktoe to TWh - patterns = ["passenger cars", ".*space efficiency", ".*water efficiency"] + patterns = [ + "passenger cars", + "passenger car efficiency", + "passenger_car_pkm", + "passengers_per_movement", + ".*space efficiency", + ".*water efficiency", +] exclude = totals.columns.str.fullmatch("|".join(patterns)) totals = totals.copy() totals.loc[:, ~exclude] *= 11.63 / 1e3 @@ -1194,6 +1263,10 @@ def build_transport_data( # first collect number of cars transport_data = pd.DataFrame(idees["passenger cars"]) + #collect passenger_car_pkm and passengers_per_movement + transport_data["passenger_car_pkm"] = idees["passenger_car_pkm"] * 1e6 + transport_data["passengers_per_movement"] = idees["passengers_per_movement"] + countries_without_ch = set(countries) - {"CH"} new_index = pd.MultiIndex.from_product( [countries_without_ch, transport_data.index.unique(1)], @@ -1220,7 +1293,9 @@ def build_transport_data( swiss_cars.index = pd.MultiIndex.from_product( [["CH"], swiss_cars.index], names=["country", "year"] ) - + #passenger_car_pkm and passengers_per_movement gets filled later using EU average/per capita*population approach + swiss_cars["passenger_car_pkm"] = np.nan + swiss_cars["passengers_per_movement"] = np.nan transport_data = pd.concat([transport_data, swiss_cars]).sort_index() transport_data = transport_data.rename(columns={"passenger cars": "number cars"}) @@ -1245,6 +1320,35 @@ def build_transport_data( fill_values = fill_values.reindex(transport_data.index) transport_data = transport_data.combine_first(fill_values) + + # fill missing passenger_car_pkm using EU-average per-capita values --- + missing = transport_data.index[transport_data["passenger_car_pkm"].isna()] + if not missing.empty: + logger.info( + f"Missing data on passenger_car_pkm from:\n{list(missing)}\n" + "Filling gaps with averaged per-capita data." + ) + + pkm_pp = transport_data["passenger_car_pkm"] / population + + fill_values = { + year: pkm_pp.mean() * population for year in transport_data.index.unique(1)} + fill_values = pd.DataFrame(fill_values).stack() + fill_values = pd.DataFrame(fill_values, columns=["passenger_car_pkm"]) + fill_values.index.names = ["country", "year"] + fill_values = fill_values.reindex(transport_data.index) + + transport_data = transport_data.combine_first(fill_values) + + # fill missing passengers_per_movement using overall mean (ratio) --- + missing = transport_data.index[transport_data["passengers_per_movement"].isna()] + if not missing.empty: + logger.info( + f"Missing data on passengers_per_movement from:\n{list(missing)}\n" + "Filling gaps with averaged data.") + + fill_value = transport_data["passengers_per_movement"].mean() + transport_data.loc[missing, "passengers_per_movement"] = fill_value # collect average fuel efficiency in MWh/100km, taking passengar car efficiency in TWh/100km transport_data["average fuel efficiency"] = idees["passenger car efficiency"] * 1e6 diff --git a/scripts/build_gas_input_locations.py b/scripts/build_gas_input_locations.py index 2c561bc3a0..cc05d28f05 100644 --- a/scripts/build_gas_input_locations.py +++ b/scripts/build_gas_input_locations.py @@ -20,7 +20,11 @@ def read_scigrid_gas(fn): df = gpd.read_file(fn) - expanded_param = df.param.apply(json.loads).apply(pd.Series) + # Fix: geopandas may auto-parse JSON fields, check if already parsed + if df.param.dtype == object and len(df.param) > 0 and isinstance(df.param.iloc[0], str): + expanded_param = df.param.apply(json.loads).apply(pd.Series) + else: + expanded_param = df.param.apply(pd.Series) df = pd.concat([df, expanded_param], axis=1) df.drop(["param", "uncertainty", "method"], axis=1, inplace=True) df = df.loc[:, ~df.columns.duplicated()] # duplicated country_code column diff --git a/scripts/build_gas_network.py b/scripts/build_gas_network.py index e407245d01..2bb9d3c6c8 100644 --- a/scripts/build_gas_network.py +++ b/scripts/build_gas_network.py @@ -55,9 +55,18 @@ def diameter_to_capacity(pipe_diameter_mm): def load_dataset(fn): df = gpd.read_file(fn) - param = df.param.apply(json.loads).apply(pd.Series) + # Fix: geopandas may auto-parse JSON fields, check if already parsed + if df.param.dtype == object and len(df.param) > 0 and isinstance(df.param.iloc[0], str): + param = df.param.apply(json.loads).apply(pd.Series) + else: + param = df.param.apply(pd.Series) + cols = ["diameter_mm", "max_cap_M_m3_per_d"] - method = df.method.apply(json.loads).apply(pd.Series)[cols] + if df.method.dtype == object and len(df.method) > 0 and isinstance(df.method.iloc[0], str): + method = df.method.apply(json.loads).apply(pd.Series)[cols] + else: + method = df.method.apply(pd.Series)[cols] + method.columns = method.columns + "_method" df = pd.concat([df, param, method], axis=1) to_drop = ["param", "uncertainty", "method", "tags"] diff --git a/scripts/build_industrial_energy_demand_per_node.py b/scripts/build_industrial_energy_demand_per_node.py index 5dc97c5469..4d67ff959f 100644 --- a/scripts/build_industrial_energy_demand_per_node.py +++ b/scripts/build_industrial_energy_demand_per_node.py @@ -22,28 +22,346 @@ which can later be used as values for the industry load. """ - import logging +import numpy as np import pandas as pd +import json +import holidays + +from scripts._helpers import ( + configure_logging, + get_snapshots, + set_scenario_config, -from scripts._helpers import configure_logging, set_scenario_config +) logger = logging.getLogger(__name__) +# Industry category to FfE profile mapping (updated to match correct profile names) + +INDUSTRY_CATEGORY_TO_PROFILE = { + "Electric arc": "Iron & steel industry", + "DRI + Electric arc": "Iron & steel industry", + "Integrated steelworks": "Iron & steel industry", + "HVC": "Non-specified (Industry)", + "HVC (mechanical recycling)": "Non-specified (Industry)", + "HVC (chemical recycling)": "Non-specified (Industry)", + "Ammonia": "Non-specified (Industry)", + "Chlorine": "Non-specified (Industry)", + "Methanol": "Non-specified (Industry)", + "Other chemicals": "Non-specified (Industry)", + "Pharmaceutical products etc.": "Non-specified (Industry)", + "Cement": "Non-metallic Minerals", + "Ceramics & other NMM": "Non-metallic Minerals", + "Glass production": "Non-metallic Minerals", + "Pulp production": "Paper, Pulp and Print", + "Paper production": "Paper, Pulp and Print", + "Printing and media reproduction": "Paper, Pulp and Print", + "Food, beverages and tobacco": "Food and Tobacco", + "Alumina production": "Iron & steel industry", + "Aluminium - primary production": "Iron & steel industry", + "Aluminium - secondary production": "Iron & steel industry", + "Other non-ferrous metals": "Non-specified (Industry)", + "Transport equipment": "Transport Equipment", + "Machinery equipment": "Machinery", + "Textiles and leather": "Textile and Leather", + "Wood and wood products": "Wood and Wood Products", + "Other industrial sectors": "Non-specified (Industry)", + + } + + +def load_ffe_load_profiles(json_file): + """Load normalized industry load profiles from FfE JSON file.""" + + # Load pre-downloaded JSON data + with open(json_file, "r") as f: + data = json.load(f) + + logger.info(f"Loaded FfE data: {data['title']}") + + # Map internal_id to profile names (internal_id [2,3] missing from json file, reported back to FfE) + id_to_profile = { + # 0: "Industry (total)", # missing + 1: "Iron & steel industry", + 4: "Non-metallic Minerals", + 5: "Transport Equipment", + 6: "Machinery", + 7: "Mining and Quarrying", + 8: "Food and Tobacco", + 9: "Paper, Pulp and Print", + 10: "Wood and Wood Products", + 11: "Construction", + 12: "Textile and Leather", + 13: "Non-specified (Industry)", + + } + + # Create hourly timestamps for 2017 + timestamps = pd.date_range("2017-01-01", "2017-12-31 23:00:00", freq="h") + + # Parse the data into a DataFrame + df = pd.json_normalize(data["data"]) + df = df.set_index(df["internal_id"].map(lambda x: x[0]))["values"] + profiles_df = ( + pd.DataFrame(np.vstack(df), index=df.index, columns=timestamps) + .rename(index=id_to_profile) + .T + + ) + logger.info(f"Loaded profiles: {list(profiles_df.columns)}") + + return profiles_df + +def create_nodal_electricity_profiles( + nodal_df, nodal_sector_df, snapshots, ffe_profiles, +): + """Create hourly electricity demand profiles for each node.""" + + # ---- Vectorised combination of sector profiles per node ---- + # Extract electricity sector demands for all nodes at once: + # nodal_sector_df.loc["elec"] returns Series with MultiIndex (node, sector) + # Unstack to get DataFrame with index=sectors, columns=nodes + elec_demands_series = nodal_sector_df.loc["elec"] + elec_demands = elec_demands_series.unstack(level=0) # index=sectors, columns=nodes + + # Map each sector to the corresponding FfE profile name + sector_to_profile = pd.Series(INDUSTRY_CATEGORY_TO_PROFILE) + sector_to_profile = sector_to_profile.reindex(elec_demands.index) + + if sector_to_profile.isna().any(): + missing = sector_to_profile[sector_to_profile.isna()].index.tolist() + raise KeyError( + f"Missing FfE profile mapping for industrial sectors: {missing}" + ) + + # Aggregate sector demands to profile-level demands: + # index -> FfE profile name + # columns -> nodes + profile_demands = elec_demands.groupby(sector_to_profile).sum() + + # Ensure all required profiles exist in the FfE data + missing_profiles = set(profile_demands.index) - set(ffe_profiles.columns) + if missing_profiles: + raise ValueError( + f"Profiles {missing_profiles} from INDUSTRY_CATEGORY_TO_PROFILE not in FfE data" + ) + + # Compute 2017 reference profiles for all nodes in one matrix multiplication: + # ffe_profiles[profiles] : (hours x profiles) + # profile_demands : (profiles x nodes) + # -> weighted_profiles : (hours x nodes) + weighted_profiles = ffe_profiles[profile_demands.index].dot(profile_demands) + + # ---- Per-node calendar mapping and checks (cannot easily be vectorised) ---- + # Create node-to-country mapping (instead of inferring from node name string) + # Note: Currently derived from node name prefix, but structured as mapping + # for easier replacement if proper country data becomes available + node_to_country = pd.Series(nodal_df.index.str[:2], index=nodal_df.index) + + nodal_profiles = pd.DataFrame(index=snapshots, columns=nodal_df.index, dtype=float) + + for node in nodal_df.index: + # Get electricity demand by sector for this node (TWh/a) + sector_demands = elec_demands[node] + + # Check if sum of sector demands matches total demand + assert np.isclose( + sector_demands.sum(), nodal_df.loc[node, "electricity"], rtol=1e-5 + ), f"Sum of sector demands does not match total demand for node {node}. \n" + + # Node-specific 2017 reference profile (already sector-weighted) + node_profile = weighted_profiles[node] + + # Map profile to snapshots with correct day-of-week alignment + hourly_profile = map_profile_to_snapshots( + node_profile, + snapshots, + node_country=node_to_country[node], + tol=0.02, # Tolerance increased to 2% for holiday replacement and date adjustment + ) + + # Save in MW + nodal_profiles[node] = hourly_profile * 1e6 + + # Check that hourly profiles match annual demand + assert np.allclose( + nodal_profiles.sum() / 1e6, nodal_df["electricity"], rtol=1e-5 + ), ( + f"Hourly profiles do not match annual demand. \nMax difference: {(nodal_profiles.sum() / 1e6 - nodal_df['electricity']).abs().max():.6f} TWh" + ) + logger.info("Hourly profiles verified to match annual demand") + + return nodal_profiles + + +def create_nodal_electricity_profiles_per_profile( + nodal_df, nodal_sector_df, snapshots, ffe_profiles, node_to_country +): + """ + Create hourly electricity demand per FfE profile per node (MW). + + Returns a DataFrame with MultiIndex columns (node, profile) and index = snapshots. + Used for industry DSR (Option B): one Store per profile per node. + """ + elec_demands_series = nodal_sector_df.loc["elec"] + elec_demands = elec_demands_series.unstack(level=0) + + sector_to_profile = pd.Series(INDUSTRY_CATEGORY_TO_PROFILE) + sector_to_profile = sector_to_profile.reindex(elec_demands.index) + if sector_to_profile.isna().any(): + missing = sector_to_profile[sector_to_profile.isna()].index.tolist() + raise KeyError( + f"Missing FfE profile mapping for industrial sectors: {missing}" + ) + + profile_demands = elec_demands.groupby(sector_to_profile).sum() + missing_profiles = set(profile_demands.index) - set(ffe_profiles.columns) + if missing_profiles: + raise ValueError( + f"Profiles {missing_profiles} from INDUSTRY_CATEGORY_TO_PROFILE not in FfE data" + ) + + profiles = profile_demands.index.tolist() + nodes = nodal_df.index.tolist() + + # Build (snapshots x (node, profile)) in MW + data = {} + for node in nodes: + for profile in profiles: + annual_twh = profile_demands.loc[profile, node] + if annual_twh <= 0: + # Zero demand: skip map_profile_to_snapshots (avoids 0/0 -> NaN in scaling) + data[(node, profile)] = pd.Series(0.0, index=snapshots) + else: + ref_profile = ffe_profiles[profile] * annual_twh + mapped = map_profile_to_snapshots( + ref_profile, + snapshots, + node_country=node_to_country[node], + tol=0.02, + ) + data[(node, profile)] = mapped * 1e6 + per_profile = pd.DataFrame(data, index=snapshots) + per_profile.columns.names = ["node", "profile"] + return per_profile + + +def map_profile_to_snapshots(reference_profile, snapshots, node_country='DE', tol=0.02): + """ + Map 2017 German reference profile to target snapshots by weekday rotation. + + Process: + 1. Remove German holidays from 2017 reference (replace with weekday-hour avg) + 2. Rotate and map to target year + 3. Replace target country's holidays with Sunday-hour averages (if available) + 4. Drop leap day if needed (handled at the end) + 5. Scale once at the end + """ + SOURCE_YEAR = 2017 + TARGET_YEAR = snapshots[0].year + + # Work with a copy of the reference profile + s = reference_profile.copy() + original_energy = s.sum() + + # STEP 1: Compute average day profiles + average_days = s.groupby([s.index.dayofweek, s.index.hour]).mean() + + # STEP 2: Normalize German holidays in source year + de_holidays = holidays.country_holidays('DE', years=SOURCE_YEAR) + holiday_dates_de = pd.to_datetime(list(de_holidays.keys())) + is_holiday = s.index.normalize().isin(holiday_dates_de) + + if is_holiday.any(): + s.loc[is_holiday] = ( + s.loc[is_holiday] + .index.map(lambda i: average_days.loc[(i.dayofweek, i.hour)]) + .to_numpy() + ) + + # STEP 3: Add day drift (weekday alignment) + day_drift = ( + pd.Timestamp(SOURCE_YEAR, 1, 1).dayofweek + - pd.Timestamp(TARGET_YEAR, 1, 1).dayofweek + ) + + ts = s.shift(day_drift, freq="D") + ts.index = ts.index.map(lambda t: t.replace(year=TARGET_YEAR)) + ts.sort_index(inplace=True) + + # STEP 4: Handle leap year + if pd.Timestamp(TARGET_YEAR, 1, 1).is_leap_year: + # Shift dates from March onward back by 1 day to account for leap year + mask = ts.index.month >= 3 + ts.index = pd.DatetimeIndex( + np.where(mask, ts.index - pd.Timedelta(days=1), ts.index) + ) + + # Add extra day (Dec 31) for leap year + extra_day_i = pd.date_range(f"{TARGET_YEAR}-12-31", periods=24, freq="h") + # Get average profile for the weekday of Dec 31 + weekday_dec31 = extra_day_i[0].dayofweek + extra_day_values = [average_days.loc[(weekday_dec31, hour)] for hour in range(24)] + extra_day = pd.Series(extra_day_values, index=extra_day_i) + ts = pd.concat([ts, extra_day]).sort_index() + + # STEP 5: Impose target country holidays + try: + target_holidays = holidays.country_holidays(node_country, years=TARGET_YEAR) + target_holiday_dates = pd.to_datetime(list(target_holidays.keys())) + is_holiday = ts.index.normalize().isin(target_holiday_dates) + + if is_holiday.any(): + ts.loc[is_holiday] = ( + ts.loc[is_holiday].index.map(lambda i: average_days.loc[(6, i.hour)]).to_numpy() + ) + except NotImplementedError: + logger.warning(f"Country '{node_country}' not available in holidays library - skipping holiday replacement") + + # STEP 6: Drop leap day if needed (snapshots already have it dropped) + drop_leap_day = not any((snapshots.month == 2) & (snapshots.day == 29)) + if drop_leap_day and ts.index.is_leap_year.any(): + ts = ts[~((ts.index.month == 2) & (ts.index.day == 29))] + + # STEP 7: Map to snapshots (reindex to match exact snapshot timestamps) + mapped = ts.reindex(snapshots) + + # Fill any missing values (shouldn't happen, but safety fallback) + if mapped.isna().any(): + missing = mapped.isna() + mapped.loc[missing] = ( + mapped.loc[missing].index.map(lambda i: average_days.loc[(i.dayofweek, i.hour)]).to_numpy() + ) + + # STEP 8: Scale to preserve energy (with tolerance check) + mapped_sum = mapped.sum() + if original_energy == 0 or np.isnan(original_energy) or mapped_sum == 0 or np.isnan(mapped_sum): + # Avoid 0/0 or nan/... leading to NaN scaling_factor and assertion failure + return pd.Series(0.0, index=snapshots) + scaling_factor = original_energy / mapped_sum + assert abs(scaling_factor - 1.0) < tol, ( + f"Energy deviation after mapping: {(scaling_factor - 1.0) * 100:.2f}%" + ) + return mapped * scaling_factor + + + if __name__ == "__main__": if "snakemake" not in globals(): from scripts._helpers import mock_snakemake snakemake = mock_snakemake( "build_industrial_energy_demand_per_node", - clusters=48, + clusters=50, planning_horizons=2030, + run="temporal_industry_load" ) configure_logging(snakemake) set_scenario_config(snakemake) - # import ratios + # load industry sector ratios fn = snakemake.input.industry_sector_ratios sector_ratios = pd.read_csv(fn, header=[0, 1], index_col=0) @@ -55,8 +373,11 @@ fn = snakemake.input.industrial_energy_demand_per_node_today nodal_today = pd.read_csv(fn, index_col=0) + # Create node-to-country mapping (instead of inferring from node name string) + node_to_country = pd.Series(nodal_production.index.str[:2], index=nodal_production.index) + nodal_sector_ratios = pd.concat( - {node: sector_ratios[node[:2]] for node in nodal_production.index}, axis=1 + {node: sector_ratios[node_to_country[node]] for node in nodal_production.index}, axis=1 ) nodal_production_stacked = nodal_production.stack() @@ -80,5 +401,41 @@ nodal_df.index.name = "TWh/a (MtCO2/a)" + # Export annual demand + fn = snakemake.output.industrial_energy_demand_per_node - nodal_df.to_csv(fn, float_format="%.2f") + nodal_df.to_csv(fn) + + #Generate hourly electricity profiles + + # final energy consumption per node and industry and industry sector (profiles) (TWh/a) + nodal_sector_df = nodal_sector_ratios.multiply(nodal_production_stacked) + + logger.info("Creating hourly industry electricity demand profiles...") + snapshots = get_snapshots( + snakemake.params.snapshots, snakemake.params.drop_leap_day + ) + + logger.info("Loading FfE industry load profiles...") + ffe_profiles = load_ffe_load_profiles(snakemake.input.ffe_profiles) + + + nodal_electricity_profiles = create_nodal_electricity_profiles( + nodal_df, nodal_sector_df, snapshots, ffe_profiles + ) + + # Export hourly profiles (total per node) + fn_profiles = snakemake.output.industrial_electricity_demand_per_node_temporal + nodal_electricity_profiles.to_csv(fn_profiles, float_format="%.2f") + logger.info(f"Hourly electricity profiles saved to {fn_profiles}") + + # Export hourly profiles per FfE profile per node (for industry DSR Option B) + per_profile = create_nodal_electricity_profiles_per_profile( + nodal_df, nodal_sector_df, snapshots, ffe_profiles, node_to_country + ) + fn_per_profile = snakemake.output.industrial_electricity_demand_per_profile_temporal + per_profile_flat = per_profile.copy() + per_profile_flat.columns = [f"{n}|{p}" for n, p in per_profile.columns] + per_profile_flat.to_csv(fn_per_profile, float_format="%.2f") + logger.info(f"Hourly electricity profiles per profile saved to {fn_per_profile}") + diff --git a/scripts/build_industry_dsr_profile.py b/scripts/build_industry_dsr_profile.py new file mode 100644 index 0000000000..3b083b5a52 --- /dev/null +++ b/scripts/build_industry_dsr_profile.py @@ -0,0 +1,144 @@ +# SPDX-FileCopyrightText: Contributors to PyPSA-Eur +# +# SPDX-License-Identifier: MIT +""" +Build industry DSR checkpoint profile per FfE profile. + +Produces a time series (snapshots x FfE profiles) with value 0 at checkpoint hours +and 1.0 elsewhere. Used as e_max_pu / e_min_pu for industry DSR Stores so that +demand is balanced within each period between checkpoints (like residential heat DSM). +Different sectors (FfE profiles) can have different restriction_time (operating hours). +""" + +import logging + +import pandas as pd + +from scripts._helpers import configure_logging, set_scenario_config + +logger = logging.getLogger(__name__) + + +def build_industry_dsr_profile(snapshots, restriction_time): + """ + Build DSR checkpoint profile per FfE profile (snapshots x profiles). + + At checkpoint hours for each profile, value is 0 (store must be empty); + elsewhere value is 1.0. restriction_value is applied in prepare_sector_network. + Hour of day is taken from snapshots (UTC). + + Parameters + ---------- + snapshots : pd.DatetimeIndex + Time index (e.g. n.snapshots). + restriction_time : dict + Keys = FfE profile names, values = list of hours (0-23) at which store must be empty. + + Returns + ------- + pd.DataFrame + Index = snapshots, columns = profile names, values in {0, 1}. + """ + profiles = list(restriction_time.keys()) + out = pd.DataFrame(index=snapshots, columns=profiles, dtype=float) + for profile in profiles: + hours_check = restriction_time.get(profile, []) + out[profile] = 1.0 + if hours_check: + mask = out.index.hour.isin(hours_check) + out.loc[mask, profile] = 0.0 + return out + + +if __name__ == "__main__": + if "snakemake" not in globals(): + from scripts._helpers import mock_snakemake + + snakemake = mock_snakemake( + "build_industry_dsr_profile", + clusters=50, + planning_horizons=2030, + ) + configure_logging(snakemake) + set_scenario_config(snakemake) + + # Get snapshots and profile names from per-profile temporal demand file + path = snakemake.input.industrial_electricity_demand_per_profile_temporal + if isinstance(path, list): + path = path[0] + per_profile = pd.read_csv(path, index_col=0, parse_dates=True) + snapshots = per_profile.index + # Unique FfE profile names from columns "node|profile" + profiles = sorted({c.split("|", 1)[1] for c in per_profile.columns}) + + restriction_time = snakemake.params.restriction_time or {} + technology_breakdown = snakemake.params.get("technology_breakdown", {}) + + # Check if technology breakdown is provided + use_technology_breakdown = bool(technology_breakdown) + + if use_technology_breakdown: + # Technology-specific: build profiles for "profile|technology" keys + logger.info("Building technology-specific DSR profiles") + + # Collect all technology keys from restriction_time + tech_keys = set() + profile_keys = set() + + for key in restriction_time.keys(): + if "|" in key: + # Technology-specific key: "profile|technology" + tech_keys.add(key) + profile_part = key.split("|", 1)[0] + profile_keys.add(profile_part) + else: + # Profile-level key + profile_keys.add(key) + + # Build profiles for technology-specific keys + tech_restriction_time = {k: restriction_time[k] for k in tech_keys if k in restriction_time} + profile_restriction_time = {k: restriction_time[k] for k in profile_keys if k in restriction_time and k not in tech_keys} + + # Build technology-specific profiles + all_columns = list(tech_keys) + list(profile_keys) + dsr_profile = pd.DataFrame(index=snapshots, columns=all_columns, dtype=float) + + # Fill technology-specific columns + for tech_key in tech_keys: + hours_check = restriction_time.get(tech_key, []) + dsr_profile[tech_key] = 1.0 + if hours_check: + mask = dsr_profile.index.hour.isin(hours_check) + dsr_profile.loc[mask, tech_key] = 0.0 + + # Fill profile-level columns (for profiles without technology breakdown) + for profile in profile_keys: + if profile in tech_keys: + continue # Already handled as technology-specific + hours_check = restriction_time.get(profile, []) + dsr_profile[profile] = 1.0 + if hours_check: + mask = dsr_profile.index.hour.isin(hours_check) + dsr_profile.loc[mask, profile] = 0.0 + + # Ensure all profiles present in data have a column (fill missing with 1.0) + for p in profiles: + if p not in dsr_profile.columns: + dsr_profile[p] = 1.0 + else: + # No technology_breakdown: build profile-level profiles (may not be used if no DSR stores are created) + logger.info("Building profile-level DSR profiles (technology_breakdown not provided)") + # Restrict to profiles present in the data + restriction_time = {p: restriction_time[p] for p in profiles if p in restriction_time} + if not restriction_time: + logger.warning("No restriction_time keys match profile names; using all 1.0 profile.") + dsr_profile = pd.DataFrame(1.0, index=snapshots, columns=profiles) + else: + dsr_profile = build_industry_dsr_profile(snapshots, restriction_time) + # Ensure all profiles present in data have a column (fill missing with 1.0) + for p in profiles: + if p not in dsr_profile.columns: + dsr_profile[p] = 1.0 + + dsr_profile.to_csv(snakemake.output.industrial_dsr_profile, float_format="%.4f") + logger.info(f"Industry DSR profile saved to {snakemake.output.industrial_dsr_profile}") diff --git a/scripts/build_transport_demand.py b/scripts/build_transport_demand.py index 057a014dc5..05a821db15 100644 --- a/scripts/build_transport_demand.py +++ b/scripts/build_transport_demand.py @@ -32,19 +32,37 @@ def build_nodal_transport_data(fn, pop_layout, year): # break number of cars down to nodal level based on population density nodal_transport_data = transport_data.loc[pop_layout.ct].fillna(0.0) nodal_transport_data.index = pop_layout.index + nodal_transport_data["number cars"] = ( pop_layout["fraction"] * nodal_transport_data["number cars"] ) + + # NEW: passenger_car_pkm should be scaled to nodes (extensive) + if "passenger_car_pkm" in nodal_transport_data.columns: + nodal_transport_data["passenger_car_pkm"] = ( + pop_layout["fraction"] * nodal_transport_data["passenger_car_pkm"] + ) + + # passengers_per_movement is a ratio -> do NOT scale; just keep country value + # (already mapped by .loc[pop_layout.ct]) + # fill missing fuel efficiency with average data nodal_transport_data.loc[ nodal_transport_data["average fuel efficiency"] == 0.0, "average fuel efficiency", ] = transport_data["average fuel efficiency"].mean() + # NEW: fill missing passengers_per_movement with average (if any zeros) + if "passengers_per_movement" in nodal_transport_data.columns: + nodal_transport_data.loc[ + nodal_transport_data["passengers_per_movement"] == 0.0, + "passengers_per_movement", + ] = transport_data["passengers_per_movement"].mean() + return nodal_transport_data -def build_transport_demand(traffic_fn, airtemp_fn, nodes, nodal_transport_data): +def build_transport_demand(traffic_fn, nodes, nodal_transport_data): """ Returns transport demand per bus in unit km driven [100 km]. """ @@ -59,34 +77,24 @@ def build_transport_demand(traffic_fn, airtemp_fn, nodes, nodal_transport_data): ) transport_shape = transport_shape / transport_shape.sum() - # get heating demand for correction to demand time series - temperature = xr.open_dataarray(airtemp_fn).to_pandas() - # correction factors for vehicle heating - dd_ICE = transport_degree_factor( - temperature, - options["transport_heating_deadband_lower"], - options["transport_heating_deadband_upper"], - options["ICE_lower_degree_factor"], - options["ICE_upper_degree_factor"], - ) + pkm = nodal_transport_data["passenger_car_pkm"] + ppm = nodal_transport_data["passengers_per_movement"] + + # safety against division by zero + ppm = ppm.replace(0, np.nan) + if ppm.isna().any(): + raise ValueError("passengers_per_movement contains zero or NaN values after filling.") + planning_year = int(pd.Index(snapshots).year[0]) + pkm_scale = options.get("land_transport_passenger_km_scaling", {}).get(planning_year, 1.0) - # divide out the heating/cooling demand from ICE totals - ice_correction = (transport_shape * (1 + dd_ICE)).sum() / transport_shape.sum() + pkm = pkm * float(pkm_scale) - # unit TWh - energy_totals_transport = ( - pop_weighted_energy_totals["total road"] - + pop_weighted_energy_totals["total rail"] - - pop_weighted_energy_totals["electricity rail"] - ) + km_driven = pkm / ppm - # average fuel efficiency in MWh/100 km - eff = nodal_transport_data["average fuel efficiency"] + km_100km = km_driven / 100.0 - return (transport_shape.multiply(energy_totals_transport) * 1e6 * nyears).divide( - eff * ice_correction - ) + return transport_shape.multiply(km_100km) * nyears def transport_degree_factor( @@ -195,7 +203,6 @@ def bev_dsm_profile(snapshots, nodes, options): transport_demand = build_transport_demand( snakemake.input.traffic_data_KFZ, - snakemake.input.temp_air_total, nodes, nodal_transport_data, ) diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py index f11ca13430..1890e15248 100755 --- a/scripts/prepare_sector_network.py +++ b/scripts/prepare_sector_network.py @@ -1584,6 +1584,26 @@ def insert_electricity_distribution_grid( loads = n.loads.index[n.loads.carrier.str.contains("electric")] n.loads.loc[loads, "bus"] += " low voltage" + # Move industry DSR components to low voltage buses + # 1. Move stores (on flexibility buses) - flexibility buses stay as-is + # 2. Move charge/discharge links' bus0/bus1 to low voltage + industry_dsr_stores = n.stores.index[n.stores.carrier == "industry dsr"] + if len(industry_dsr_stores) > 0: + # Stores are on flexibility buses, which don't need "low voltage" suffix + # But we need to update the links' buses + industry_dsr_charge_links = n.links.index[n.links.carrier == "industry dsr charge"] + industry_dsr_discharge_links = n.links.index[n.links.carrier == "industry dsr discharge"] + + # Charge links: bus0 (load bus) needs "low voltage", bus1 (flexibility bus) stays as-is + if len(industry_dsr_charge_links) > 0: + n.links.loc[industry_dsr_charge_links, "bus0"] += " low voltage" + + # Discharge links: bus0 (flexibility bus) stays as-is, bus1 (load bus) needs "low voltage" + if len(industry_dsr_discharge_links) > 0: + n.links.loc[industry_dsr_discharge_links, "bus1"] += " low voltage" + + logger.info(f"Moved {len(industry_dsr_charge_links)} charge links and {len(industry_dsr_discharge_links)} discharge links to low voltage buses") + bevs = n.links.index[n.links.carrier == "BEV charger"] n.links.loc[bevs, "bus0"] += " low voltage" @@ -4499,6 +4519,7 @@ def add_industry( spatial: SimpleNamespace, cf_industry: dict, investment_year: int, + snakemake, ): """ Add industry and their corresponding carrier buses to the network. @@ -5003,15 +5024,451 @@ def add_industry( ) n.loads_t.p_set[loads_i] *= factor - n.add( - "Load", - nodes, - suffix=" industry electricity", - bus=nodes, - carrier="industry electricity", - p_set=industrial_demand.loc[nodes, "electricity"] / nhours, + # Check if temporal profiles should be used + use_temporal = snakemake.params.industry.get( + "temporal_electricity_industry_load", False ) + if use_temporal and snakemake.input.industrial_electricity_profiles: + logger.info("Using temporal industrial electricity demand profiles") + + # Load hourly profiles (MW) + industrial_elec_profiles = pd.read_csv( + snakemake.input.industrial_electricity_profiles, + index_col=0, + parse_dates=True, + ) + + industrial_loads = industrial_elec_profiles.rename( + columns=lambda x: f"{x} industry electricity" + ) + + # Create a Series with load names as index and bus names as values + # This ensures index alignment instead of relying on positional matching + bus_series = pd.Series( + industrial_elec_profiles.columns.values, + index=industrial_loads.columns, + ) + + n.add( + "Load", + industrial_loads.columns, + bus=bus_series, + carrier="industry electricity", + p_set=industrial_loads, + ) + + else: + logger.info("Using constant industrial electricity demand") + n.add( + "Load", + nodes, + suffix=" industry electricity", + bus=nodes, + carrier="industry electricity", + p_set=industrial_demand.loc[nodes, "electricity"] / nhours, + ) + + # Industry electricity DSR (Option B): one Store per FfE profile per node + # DSR config lives under main config industry.dsr; options["industry"] is sector_opts (bool) + industry_config = snakemake.config.get("industry", {}) + industry_config = industry_config if isinstance(industry_config, dict) else {} + dsr_config = industry_config.get("dsr", {}) + if ( + use_temporal + and dsr_config.get("enable") + and getattr( + snakemake.input, "industrial_electricity_profiles_per_profile", None + ) + ): + per_profile_path = snakemake.input.industrial_electricity_profiles_per_profile + path = ( + per_profile_path[0] + if isinstance(per_profile_path, list) and len(per_profile_path) > 0 + else per_profile_path + ) + if path: + logger.info("Adding industry electricity DSR (per-profile Stores)") + per_profile_df = pd.read_csv( + path, index_col=0, parse_dates=True + ).reindex(n.snapshots) + # Columns are "node|profile" + node_profile = [c.split("|", 1) for c in per_profile_df.columns] + nodes_per_profile = {} + for n_, p_ in node_profile: + nodes_per_profile.setdefault(p_, []).append(n_) + flexibility_fraction = dsr_config.get("flexibility_fraction", {}) + shift_hours = dsr_config.get("shift_hours", {}) + restriction_value = float(dsr_config.get("restriction_value", 1.0)) + technology_breakdown = dsr_config.get("technology_breakdown", {}) + min_load_config = dsr_config.get("min_load", {}) # New: minimum load constraint (fraction of baseline) + # Optional DSR checkpoint profile (snapshots x profiles): 0 at checkpoint hours, else restriction_value + dsr_profile_df = None + dsr_profile_path = getattr( + snakemake.input, "industrial_dsr_profile", None + ) + if dsr_profile_path: + dsr_path = ( + dsr_profile_path[0] + if isinstance(dsr_profile_path, list) + and len(dsr_profile_path) > 0 + else dsr_profile_path + ) + if dsr_path: + dsr_profile_df = pd.read_csv( + dsr_path, index_col=0, parse_dates=True + ).reindex(n.snapshots).ffill().bfill() + else: + logger.warning( + "DSR profile file not found. Using constant constraints (no checkpoints). " + "This means e_cyclic may not enforce periodic balancing correctly." + ) + if "industry dsr" not in n.carriers.index: + n.add("Carrier", "industry dsr") + + # Check if technology breakdown is provided + use_technology_breakdown = bool(technology_breakdown) + + if use_technology_breakdown: + # Technology-specific DSR: split profiles by technology + logger.info("Using technology-specific industry DSR") + logger.info(f"DSR will only be applied to profiles with technology_breakdown: {list(technology_breakdown.keys())}") + + # Auto-calculate technology shares from production data if needed + # Mapping from technology names (in config) to PyPSA sector names (in production data) + technology_to_sector = { + # Steel technologies + "Scrap-EAF": "Electric arc", + "H2-DRI-EAF": "DRI + Electric arc", + "BF-BOF-CCUS": "Integrated steelworks", + "Manufacturing": None, # Not a specific sector, will use remaining share + # Aluminium technologies + "Aluminium-primary": "Aluminium - primary production", + "Aluminium-secondary": "Aluminium - secondary production", + "Alumina": "Alumina production", + } + + # Try to auto-calculate shares from production data + auto_calc_shares = {} + try: + industrial_production_file = getattr(snakemake.input, "industrial_production", None) + if industrial_production_file and os.path.exists(industrial_production_file): + industrial_production = pd.read_csv(industrial_production_file, index_col=0) # kt/a per node + + # Calculate shares for "Iron & steel industry" profile + if "Iron & steel industry" in technology_breakdown: + profile_tech_shares = technology_breakdown["Iron & steel industry"] + if isinstance(profile_tech_shares, dict): + # Check if any shares need auto-calculation + needs_auto = any( + v == "auto" or (isinstance(v, str) and v.lower() == "auto") + for v in profile_tech_shares.values() + ) + + if needs_auto: + logger.info("Auto-calculating technology shares for 'Iron & steel industry' from production data") + # Get nodes for this profile + profile_nodes = nodes_per_profile.get("Iron & steel industry", []) + if profile_nodes: + # Calculate total production per sector across all nodes + sector_production = {} + for tech_name, sector_name in technology_to_sector.items(): + if sector_name and tech_name in profile_tech_shares: + if sector_name in industrial_production.columns: + # Sum production across all nodes (kt/a) + sector_production[tech_name] = industrial_production[sector_name].sum() + else: + sector_production[tech_name] = 0.0 + + # Calculate shares based on production (assuming similar electricity intensity) + # For more accuracy, we'd need sector ratios, but production is a good proxy + total_production = sum(sector_production.values()) + if total_production > 0: + auto_shares = {tech: prod / total_production for tech, prod in sector_production.items()} + + # Merge with user-provided shares (user values take precedence) + final_shares = {} + for tech, user_share in profile_tech_shares.items(): + if user_share == "auto" or (isinstance(user_share, str) and user_share.lower() == "auto"): + final_shares[tech] = auto_shares.get(tech, 0.0) + logger.info(f" Auto-calculated share for '{tech}': {final_shares[tech]:.3f}") + else: + final_shares[tech] = user_share + + # Handle "Manufacturing" or other technologies not in production data + # Distribute remaining share proportionally + remaining_techs = [t for t in profile_tech_shares.keys() if t not in technology_to_sector or technology_to_sector[t] is None] + if remaining_techs: + remaining_share = 1.0 - sum(v for k, v in final_shares.items() if k not in remaining_techs) + if remaining_share > 0: + for tech in remaining_techs: + if tech in profile_tech_shares and (profile_tech_shares[tech] == "auto" or (isinstance(profile_tech_shares[tech], str) and profile_tech_shares[tech].lower() == "auto")): + # Distribute remaining share equally (or use user-provided if not auto) + final_shares[tech] = remaining_share / len(remaining_techs) + elif tech in profile_tech_shares: + final_shares[tech] = profile_tech_shares[tech] + + auto_calc_shares["Iron & steel industry"] = final_shares + logger.info(f"Auto-calculated technology shares for 'Iron & steel industry': {final_shares}") + except Exception as e: + logger.warning(f"Could not auto-calculate technology shares from production data: {e}") + logger.warning("Falling back to user-provided shares") + + for profile in nodes_per_profile.keys(): + if profile not in technology_breakdown: + # Profile without technology breakdown: skip (no DSR for this profile) + logger.debug(f"Profile '{profile}' has no technology breakdown, skipping DSR") + continue + + # Get technology shares for this profile (use auto-calculated if available) + if profile in auto_calc_shares: + tech_shares = auto_calc_shares[profile] + else: + tech_shares = technology_breakdown[profile] + + if not isinstance(tech_shares, dict): + logger.warning(f"Technology breakdown for '{profile}' is not a dict, skipping") + continue + + # Verify shares sum to ~1.0 + total_share = sum(tech_shares.values()) + if not np.isclose(total_share, 1.0, rtol=0.01): + logger.warning( + f"Technology shares for '{profile}' sum to {total_share:.3f}, not 1.0. " + f"Normalizing to 1.0." + ) + tech_shares = {k: v / total_share for k, v in tech_shares.items()} + + # Get profile load columns + cols_profile = [ + c for c in per_profile_df.columns if c.split("|", 1)[1] == profile + ] + if not cols_profile: + continue + load_profile = per_profile_df[cols_profile] + + # Process each technology + for technology, share in tech_shares.items(): + if share <= 0: + continue + + # Technology-specific key: "profile|technology" + tech_key = f"{profile}|{technology}" + + # Get technology-specific flexibility (default to 0 if not specified) + tech_flex = flexibility_fraction.get(tech_key, 0.0) + if tech_flex <= 0: + # Technology not flexible, skip + continue + + # Get technology-specific shift_hours (default to profile-level if available) + tech_shift_hours = shift_hours.get(tech_key, shift_hours.get(profile, 4)) + + # Check if this technology is "negative only" (can only discharge, not charge) + # Format: "profile|technology": true/false in dsr_config.get("negative_only", {}) + negative_only_config = dsr_config.get("negative_only", {}) + tech_negative_only_key = tech_key + is_negative_only = negative_only_config.get(tech_negative_only_key, False) + + # Check for minimum load constraint (fraction of baseline, e.g. 0.70 = 70% minimum) + # Format: "profile|technology": fraction in dsr_config.get("min_load", {}) + tech_min_load = min_load_config.get(tech_negative_only_key, None) + if tech_min_load is not None: + # min_load: 0.70 means load can only be reduced to 70% of baseline + # Maximum reduction = 1.0 - min_load = 1.0 - 0.70 = 0.30 (30%) + # But flexibility_fraction might be smaller (e.g., 0.10 = 10%) + # So the actual maximum reduction is min(flexibility_fraction, 1.0 - min_load) + max_reduction = min(tech_flex, 1.0 - tech_min_load) + logger.debug(f"Technology {tech_key}: min_load={tech_min_load}, flexibility={tech_flex}, max_reduction={max_reduction}") + else: + max_reduction = tech_flex # No min_load constraint, use full flexibility + + # Split load by technology share + tech_load = load_profile * share + P_flex = tech_load * tech_flex + e_nom_per_col = P_flex.max() * tech_shift_hours + + # Column names are "node|profile"; index e_nom by node + e_nom_series = pd.Series( + e_nom_per_col.values, + index=[c.split("|", 1)[0] for c in cols_profile], + ) + e_nom_series = e_nom_series[e_nom_series > 0] + if e_nom_series.empty: + continue + + store_names = [ + f"{node} industry dsr {profile} {technology}" for node in e_nom_series.index + ] + e_nom = e_nom_series.values + + # Calculate P_flex per store (max power per node) + # P_flex is a DataFrame with columns "node|profile", need to extract per node + P_flex_per_store = [] + for node in e_nom_series.index: + col_name = f"{node}|{profile}" + if col_name in P_flex.columns: + P_flex_per_store.append(P_flex[col_name].max()) + else: + # Fallback: use e_nom / shift_hours + P_flex_per_store.append(e_nom_series[node] / tech_shift_hours) + P_flex_per_store = np.array(P_flex_per_store) + + # Get restriction_time: try technology-specific first, then profile-level + restriction_time_tech = dsr_config.get("restriction_time", {}).get(tech_key) + if restriction_time_tech is None: + restriction_time_tech = dsr_config.get("restriction_time", {}).get(profile) + + # Use DSR profile if available + if dsr_profile_df is not None: + # Try technology-specific profile column first, then profile-level + if tech_key in dsr_profile_df.columns: + profile_vals = ( + dsr_profile_df[tech_key].values * tech_flex * restriction_value + ) + elif profile in dsr_profile_df.columns: + profile_vals = ( + dsr_profile_df[profile].values * tech_flex * restriction_value + ) + else: + profile_vals = None + + if profile_vals is not None: + if is_negative_only: + # Negative only: can only discharge (reduce load), not charge (increase load) + # At checkpoint hours (profile_vals = 0): e_max_pu = 0, e_min_pu = 0 (must be at 0) + # At other hours (profile_vals = 1.0): e_max_pu = 0 (can't charge), e_min_pu = -flexibility (can discharge) + # Note: With e_cyclic=True, the store must return to 0 at checkpoints. + # The store can only discharge, so it must plan discharge to naturally return to 0 + # by the checkpoint (e.g., by not discharging near the checkpoint, or by having + # the energy balance constraint force it back to 0) + e_max_pu = pd.DataFrame( + index=n.snapshots, + columns=store_names, + data=0.0, # Can't charge at any hour (negative only) + ) + # For negative_only: e_min_pu controls maximum discharge (load reduction) + # If min_load is set (e.g., 0.70), max reduction = min(flexibility, 1.0 - min_load) + # e_min_pu = -max_reduction at non-checkpoint hours + e_min_pu_vals = -max_reduction * profile_vals.reshape(-1, 1) * np.ones((len(n.snapshots), len(store_names))) + e_min_pu = pd.DataFrame( + index=n.snapshots, + columns=store_names, + data=e_min_pu_vals, + ) + # At checkpoint hours, profile_vals = 0, so e_min_pu = 0, forcing store to 0 + # At other hours, e_min_pu = -max_reduction, allowing discharge up to max_reduction + else: + # Bidirectional: can charge and discharge + e_max_pu = pd.DataFrame( + index=n.snapshots, + columns=store_names, + data=profile_vals.reshape(-1, 1) * np.ones((len(n.snapshots), len(store_names))), + ) + e_min_pu = -e_max_pu + else: + if is_negative_only: + e_max_pu = 0.0 # Can't charge + e_min_pu = -max_reduction * restriction_value # Can discharge up to max_reduction + else: + e_max_pu = tech_flex * restriction_value + e_min_pu = -e_max_pu + else: + if is_negative_only: + e_max_pu = 0.0 # Can't charge + e_min_pu = -max_reduction * restriction_value # Can discharge up to max_reduction + else: + e_max_pu = tech_flex * restriction_value + e_min_pu = -e_max_pu + + # Create flexibility buses and unidirectional links for each store + # This allows for ramp limits and efficiencies to prevent rapid cycling + flexibility_buses = [f"{node} industry dsr flexibility {profile} {technology}" + for node in e_nom_series.index] + load_buses = e_nom_series.index.tolist() # Will be moved to "low voltage" later + + # Add flexibility buses + n.add( + "Bus", + flexibility_buses, + carrier="industry dsr flexibility", + ) + + # Get DSR economic parameters from config (v3: optional DSR) + store_capital_cost = dsr_config.get("store_capital_cost", 30.0) # EUR/MWh/year + link_capital_cost = dsr_config.get("link_capital_cost", 0.0) # EUR/MW/year + charge_efficiency = dsr_config.get("charge_efficiency", 0.98) + discharge_efficiency = dsr_config.get("discharge_efficiency", 0.98) + + # Charge links: load bus -> flexibility bus (increasing load) + # When this link flows, store charges, load increases + # For negative_only DSR, disable charge links (set p_nom=0 or p_max_pu=0) + charge_link_names = [f"{store_name} charge" for store_name in store_names] + if is_negative_only: + # Negative only: can't charge, so set p_nom to 0 + charge_p_nom = np.zeros_like(P_flex_per_store) + else: + charge_p_nom = P_flex_per_store + + n.add( + "Link", + charge_link_names, + bus0=load_buses, + bus1=flexibility_buses, + carrier="industry dsr charge", + p_nom=charge_p_nom, + p_min_pu=0.0, # Unidirectional: only positive flow (charging) + p_max_pu=1.0, + efficiency=charge_efficiency, # v3: Added efficiency losses + capital_cost=link_capital_cost, # v3: Added capital cost + ) + + # Discharge links: flexibility bus -> load bus (decreasing load) + # When this link flows, store discharges, load decreases + discharge_link_names = [f"{store_name} discharge" for store_name in store_names] + n.add( + "Link", + discharge_link_names, + bus0=flexibility_buses, + bus1=load_buses, + carrier="industry dsr discharge", + p_nom=P_flex_per_store, + p_min_pu=0.0, # Unidirectional: only positive flow (discharging) + p_max_pu=1.0, + efficiency=discharge_efficiency, # v3: Added efficiency losses + capital_cost=link_capital_cost, # v3: Added capital cost + ) + + # Add store on flexibility bus + # V3: Make DSR capacity EXTENDABLE with CAPITAL COST + # This makes DSR economically optional - optimizer decides whether to build it + # Store energy balance: e[t] = e[t-1] + charge_link[t] - discharge_link[t] + # This means charge_link increases store energy, discharge_link decreases it + n.add( + "Store", + store_names, + bus=flexibility_buses, + carrier="industry dsr", + standing_loss=0.0, + e_cyclic=True, + e_initial=0.0, + e_nom=0.0, # v3: Start with 0, let optimizer decide + e_nom_extendable=True, # v3: CRITICAL - make capacity optimizable + e_nom_max=e_nom, # v3: Use calculated capacity as upper limit + capital_cost=store_capital_cost, # v3: Add capital cost (EUR/MWh/year) + e_max_pu=e_max_pu, + e_min_pu=e_min_pu, + ) + + # Add constraint: charge_link - discharge_link = store_p + # This couples the links to the store dispatch + # We'll add this constraint in solve_network.py after the model is created + else: + # No technology_breakdown provided: no DSR stores created + logger.info("No technology_breakdown provided. Industry DSR requires technology_breakdown to be defined.") + logger.info("No industry DSR stores will be created. Profiles will use baseline (fixed) load only.") + logger.info("Industry DSR Stores added.") + n.add( "Bus", spatial.co2.process_emissions, @@ -6433,6 +6890,7 @@ def add_import_options( spatial=spatial, cf_industry=cf_industry, investment_year=investment_year, + snakemake=snakemake, ) if options["shipping"]: diff --git a/scripts/solve_network.py b/scripts/solve_network.py index e4c13e15fb..c03d123c5c 100644 --- a/scripts/solve_network.py +++ b/scripts/solve_network.py @@ -512,7 +512,7 @@ def prepare_network( n.set_snapshots(n.snapshots[:nhours]) n.snapshot_weightings[:] = 8760.0 / nhours - if foresight == "myopic": + if foresight == "myopic" and planning_horizons: add_land_use_constraint(n, planning_horizons) if foresight == "perfect": @@ -1162,6 +1162,278 @@ def add_co2_atmosphere_constraint(n, snapshots): n.model.add_constraints(lhs <= rhs, name=f"GlobalConstraint-{name}") +def add_dri_h2_coupling_constraint(n: pypsa.Network, snapshots: pd.DatetimeIndex) -> None: + """ + Add coupling constraint between DRI DSR flexibility and H2 storage capacity. + + H2-DRI-EAF flexibility requires H2 storage to enable load shifting. This constraint + limits DRI load shifting based on available H2 storage capacity. + + Constraint: |DRI_DSR_dispatch| ≤ H2_storage_capacity / H2_per_DRI_ratio + + Parameters + ---------- + n : pypsa.Network + The PyPSA network instance + snapshots : pd.DatetimeIndex + Simulation timesteps + """ + # Check if industry DSR is enabled + industry_config = n.config.get("industry", {}) + dsr_config = industry_config.get("dsr", {}) + if not dsr_config.get("enable", False): + return + + # Get H2/DRI ratio from config (MWh_H2 per ton steel, or MWh_H2 per MWh_DRI) + # H2_DRI: 1.7 is MWh_H2 per ton steel + # We need to convert to MWh_H2 per MWh_DRI electricity + # elec_DRI: 0.322 MWh_el per ton steel + # So: MWh_H2 per MWh_el = H2_DRI / elec_DRI = 1.7 / 0.322 ≈ 5.28 + h2_dri_ratio = industry_config.get("H2_DRI", 1.7) + elec_dri_ratio = industry_config.get("elec_DRI", 0.322) + + if elec_dri_ratio == 0: + logger.warning( + "elec_DRI is 0, cannot calculate H2_per_DRI_electricity_ratio for coupling constraint. " + "Skipping H2-DRI coupling constraint. DRI flexibility may be overestimated." + ) + return + + h2_per_dri_elec = h2_dri_ratio / elec_dri_ratio # MWh_H2 per MWh_DRI_electricity + + # Find DRI DSR stores (those with "H2-DRI-EAF" in the name) + industry_dsr_stores = n.stores[n.stores.carrier == "industry dsr"] + dri_stores = industry_dsr_stores[industry_dsr_stores.index.str.contains("H2-DRI-EAF", case=False, na=False)] + + if dri_stores.empty: + return # No DRI stores, nothing to constrain + + # Find H2 storage stores + h2_stores = n.stores[n.stores.carrier == "H2 Store"] + + if h2_stores.empty: + logger.warning("H2-DRI-EAF DSR stores found but no H2 storage available. DRI flexibility may be overestimated.") + return + + # Get the model variables (only if model exists) + if not hasattr(n, "model") or n.model is None: + return + + # Create mapping: DRI store bus -> H2 store + # DRI stores are on "low voltage" buses, need to find corresponding H2 bus + dri_store_to_h2_store = {} + + for dri_store_name in dri_stores.index: + # Extract node name from store name (e.g., "BE0 0 industry dsr Iron & steel industry H2-DRI-EAF" -> "BE0 0") + node_name = dri_store_name.split(" industry dsr ")[0] + + # Find H2 store at the same node + h2_bus = f"{node_name} H2" + h2_store_at_node = h2_stores[h2_stores.bus == h2_bus] + + if not h2_store_at_node.empty: + # Use the first H2 store at this node (there should typically be one) + h2_store_name = h2_store_at_node.index[0] + dri_store_to_h2_store[dri_store_name] = h2_store_name + else: + logger.debug(f"No H2 storage found for DRI store {dri_store_name} at bus {h2_bus}") + + if not dri_store_to_h2_store: + logger.warning("No H2 storage found for any DRI DSR stores. DRI flexibility may be overestimated.") + return + + # Add constraints for each DRI store + store_p = n.model["Store-p"] # Store dispatch (power) + + constraints_added = 0 + for dri_store_name, h2_store_name in dri_store_to_h2_store.items(): + # Get H2 storage capacity (nominal energy capacity) + h2_store_e_nom = n.stores.loc[h2_store_name, "e_nom"] + h2_store_extendable = n.stores.loc[h2_store_name, "e_nom_extendable"] + + if h2_store_extendable: + # For extendable stores, use the model variable + # This allows the optimizer to build H2 storage to enable DRI flexibility + h2_store_e_nom_var = n.model["Store-e_nom"].loc[h2_store_name] + # Constraint: |DRI dispatch| * H2_per_DRI ≤ H2_storage_capacity + # This means: max_dri_shift = H2_storage_capacity / H2_per_DRI + max_dri_shift = h2_store_e_nom_var / h2_per_dri_elec + elif pd.isna(h2_store_e_nom) or h2_store_e_nom == 0: + logger.debug(f"H2 store {h2_store_name} has no capacity, skipping constraint for {dri_store_name}") + continue + else: + # For fixed capacity, use the nominal value + max_dri_shift = h2_store_e_nom / h2_per_dri_elec + + # Constraint: |DRI dispatch| ≤ max_dri_shift + # This limits both positive (charge) and negative (discharge) dispatch + dri_dispatch = store_p.loc[:, dri_store_name] + + # Add upper bound: DRI dispatch ≤ max_dri_shift + n.model.add_constraints( + dri_dispatch <= max_dri_shift, + name=f"DRI_H2_coupling_upper_{dri_store_name}" + ) + + # Add lower bound: DRI dispatch ≥ -max_dri_shift + n.model.add_constraints( + dri_dispatch >= -max_dri_shift, + name=f"DRI_H2_coupling_lower_{dri_store_name}" + ) + + constraints_added += 1 + + if constraints_added > 0: + logger.info(f"Added H2 storage coupling constraints for {constraints_added} DRI DSR stores (H2/DRI ratio: {h2_per_dri_elec:.2f} MWh_H2/MWh_el)") + + +def _extract_tech_key(link_name): + """Extract technology key from a DSR link name. + + e.g. "BE0 0 industry dsr Iron & steel industry Scrap-EAF charge" + -> "Iron & steel industry|Scrap-EAF" + """ + store_name = link_name.replace(" charge", "").replace(" discharge", "") + parts = store_name.split(" industry dsr ") + if len(parts) == 2: + profile_tech = parts[1] + if " " in profile_tech: + profile, tech = profile_tech.rsplit(" ", 1) + return f"{profile}|{tech}" + return None + + +def _filter_links_with_ramp_config(link_names, ramp_rate_config): + """Filter links to only those with an explicit ramp_rate entry in config. + + Returns the filtered link index and a Series of ramp rates for those links. + Technologies not listed in ramp_rate config are considered flexible enough + to not need ramp constraints at the model's temporal resolution. + """ + filtered = [] + rates = {} + default_rate = ramp_rate_config.get("default", 0.1) + + # Keys in config that are actual technology entries (not 'default') + tech_keys_in_config = {k for k in ramp_rate_config if k != "default"} + + for link_name in link_names: + tech_key = _extract_tech_key(link_name) + if tech_key is not None and tech_key in tech_keys_in_config: + filtered.append(link_name) + rates[link_name] = ramp_rate_config[tech_key] + elif tech_key is None: + # Profile-level link (no technology breakdown) - apply default + filtered.append(link_name) + rates[link_name] = default_rate + + filtered_idx = pd.Index(filtered) + rate_series = pd.Series(rates) + return filtered_idx, rate_series + + +def add_dsr_ramp_constraints(n: pypsa.Network, snapshots: pd.DatetimeIndex, dsr_config: dict) -> None: + """ + Add ramp rate constraints for physically rigid DSR technologies. + + VECTORIZED implementation using linopy/xarray array operations. + Only applies to technologies explicitly listed in config ramp_rate section. + Flexible technologies (e.g. EAF, secondary aluminium) are excluded because + they can physically adjust within a single timestep. + + Constraints: + link_p[t] - link_p[t-1] <= +max_ramp (ramp up limit) + link_p[t] - link_p[t-1] >= -max_ramp (ramp down limit) + + Parameters + ---------- + n : pypsa.Network + The PyPSA network instance + snapshots : pd.DatetimeIndex + Simulation timesteps + dsr_config : dict + Industry DSR configuration + """ + ramp_rate_config = dsr_config.get("ramp_rate", {}) + if not ramp_rate_config: + logger.info("No ramp_rate section in DSR config, skipping ramp constraints") + return + + # Find all DSR links + all_charge = n.links.index[n.links.carrier == "industry dsr charge"] + all_discharge = n.links.index[n.links.carrier == "industry dsr discharge"] + + if all_charge.empty and all_discharge.empty: + return + + if not hasattr(n, "model") or n.model is None: + return + + # Filter to only rigid technologies with explicit ramp rates + charge_links, charge_rates = _filter_links_with_ramp_config(all_charge, ramp_rate_config) + discharge_links, discharge_rates = _filter_links_with_ramp_config(all_discharge, ramp_rate_config) + + n_skipped_charge = len(all_charge) - len(charge_links) + n_skipped_discharge = len(all_discharge) - len(discharge_links) + if n_skipped_charge > 0 or n_skipped_discharge > 0: + logger.info( + f" Ramp constraints: skipping {n_skipped_charge} flexible charge links " + f"and {n_skipped_discharge} flexible discharge links (no explicit ramp_rate)" + ) + + if charge_links.empty and discharge_links.empty: + logger.info("No rigid technologies found for ramp constraints") + return + + link_p = n.model["Link-p"] + constraints_added = 0 + + # --- Vectorized ramp constraints for CHARGE links (rigid technologies only) --- + if not charge_links.empty: + max_ramp_charge = n.links.loc[charge_links, "p_nom"] * charge_rates + + charge_dispatch = link_p.sel({"name": charge_links}) + charge_ramp = charge_dispatch.diff("snapshot") + max_ramp_charge_da = xr.DataArray( + max_ramp_charge.values, dims=["name"], coords={"name": charge_links} + ) + + n.model.add_constraints( + charge_ramp <= max_ramp_charge_da, name="DSR_charge_ramp_up" + ) + n.model.add_constraints( + charge_ramp >= -max_ramp_charge_da, name="DSR_charge_ramp_down" + ) + + n_charge = len(charge_links) * (len(snapshots) - 1) * 2 + constraints_added += n_charge + logger.info(f" Charge ramp constraints: {n_charge} for {len(charge_links)} rigid links") + + # --- Vectorized ramp constraints for DISCHARGE links (rigid technologies only) --- + if not discharge_links.empty: + max_ramp_discharge = n.links.loc[discharge_links, "p_nom"] * discharge_rates + + discharge_dispatch = link_p.sel({"name": discharge_links}) + discharge_ramp = discharge_dispatch.diff("snapshot") + max_ramp_discharge_da = xr.DataArray( + max_ramp_discharge.values, dims=["name"], coords={"name": discharge_links} + ) + + n.model.add_constraints( + discharge_ramp <= max_ramp_discharge_da, name="DSR_discharge_ramp_up" + ) + n.model.add_constraints( + discharge_ramp >= -max_ramp_discharge_da, name="DSR_discharge_ramp_down" + ) + + n_discharge = len(discharge_links) * (len(snapshots) - 1) * 2 + constraints_added += n_discharge + logger.info(f" Discharge ramp constraints: {n_discharge} for {len(discharge_links)} rigid links") + + if constraints_added > 0: + logger.info(f"Added DSR ramp constraints: {constraints_added} total (vectorized, 4 bulk calls)") + + def extra_functionality( n: pypsa.Network, snapshots: pd.DatetimeIndex, planning_horizons: str | None = None ) -> None: @@ -1207,6 +1479,15 @@ def extra_functionality( ): add_solar_potential_constraints(n, config) + # Add DRI-H2 coupling constraint if industry DSR is enabled + industry_config = n.config.get("industry", {}) + dsr_config = industry_config.get("dsr", {}) + if dsr_config.get("enable", False): + add_dri_h2_coupling_constraint(n, snapshots) + # Store-link coupling constraint removed: redundant with PyPSA's bus balance (KCL). + # See DSR_DEEP_ANALYSIS_AND_FIX.md for details. + add_dsr_ramp_constraints(n, snapshots, dsr_config) + if n.config.get("sector", {}).get("tes", False): if n.buses.index.str.contains( r"urban central heat|urban decentral heat|rural heat", @@ -1270,129 +1551,142 @@ def check_objective_value(n: pypsa.Network, solving: dict) -> None: ) -def solve_network( - n: pypsa.Network, +def collect_kwargs( config: dict, - params: dict, solving: dict, - rule_name: str | None = None, planning_horizons: str | None = None, - **kwargs, -) -> None: + log_fn: str | None = None, + mode: str = "single", +) -> tuple[dict, dict]: """ - Solve network optimization problem. + Prepare keyword arguments separated for model creation and model solving. Parameters ---------- - n : pypsa.Network - The PyPSA network instance - config : Dict + config : dict Configuration dictionary containing solver settings - params : Dict - Dictionary of solving parameters - solving : Dict + solving : dict Dictionary of solving options and configuration - rule_name : str, optional - Name of the snakemake rule being executed planning_horizons : str, optional - The current planning horizon year or None in perfect foresight - **kwargs - Additional keyword arguments passed to the solver + The current planning horizon year or None in perfect foresight + log_fn : str, optional + Path to solver log file + mode : str, optional + Optimization mode: 'single', 'rolling_horizon', or 'iterative' + Default is 'single' Returns ------- - n : pypsa.Network - Solved network instance - status : str - Solution status - condition : str - Termination condition - - Raises - ------ - RuntimeError - If solving status is infeasible or warning - ObjectiveValueError - If objective value differs from expected value + tuple[dict, dict] + Two dictionaries: (model_kwargs, solve_kwargs) + - model_kwargs: Arguments for n.optimize.create_model() + - solve_kwargs: Arguments for n.optimize.solve_model() + For 'rolling_horizon' and 'iterative' modes, returns merged kwargs + with additional mode-specific parameters """ set_of_options = solving["solver"]["options"] cf_solving = solving["options"] - kwargs["multi_investment_periods"] = config["foresight"] == "perfect" - kwargs["solver_options"] = ( - solving["solver_options"][set_of_options] if set_of_options else {} - ) - kwargs["solver_name"] = solving["solver"]["name"] - kwargs["extra_functionality"] = partial( - extra_functionality, planning_horizons=planning_horizons - ) - kwargs["transmission_losses"] = cf_solving.get("transmission_losses", False) - kwargs["linearized_unit_commitment"] = cf_solving.get( + # Model creation kwargs + model_kwargs = {} + model_kwargs["multi_investment_periods"] = config["foresight"] == "perfect" + model_kwargs["transmission_losses"] = cf_solving.get("transmission_losses", False) + model_kwargs["linearized_unit_commitment"] = cf_solving.get( "linearized_unit_commitment", False ) - kwargs["assign_all_duals"] = cf_solving.get("assign_all_duals", False) - kwargs["io_api"] = cf_solving.get("io_api", None) + + # Solve kwargs + solver_name = solving["solver"]["name"] + solver_options = solving["solver_options"][set_of_options] if set_of_options else {} + + solve_kwargs = {} + solve_kwargs["solver_name"] = solver_name + solve_kwargs["solver_options"] = solver_options + solve_kwargs["assign_all_duals"] = cf_solving.get("assign_all_duals", False) + solve_kwargs["io_api"] = cf_solving.get("io_api", None) + solve_kwargs["keep_files"] = cf_solving.get("keep_files", False) + + if log_fn: + solve_kwargs["log_fn"] = log_fn oetc = solving.get("oetc", None) if oetc: oetc["credentials"] = OetcCredentials( email=os.environ["OETC_EMAIL"], password=os.environ["OETC_PASSWORD"] ) - oetc["solver"] = kwargs["solver_name"] - oetc["solver_options"] = kwargs["solver_options"] + oetc["solver"] = solver_name + oetc["solver_options"] = solver_options oetc_settings = OetcSettings(**oetc) oetc_handler = OetcHandler(oetc_settings) - kwargs["remote"] = oetc_handler - - kwargs["model_kwargs"] = cf_solving.get("model_kwargs", {}) - kwargs["keep_files"] = cf_solving.get("keep_files", False) + solve_kwargs["remote"] = oetc_handler - if kwargs["solver_name"] == "gurobi": + if solver_name == "gurobi": logging.getLogger("gurobipy").setLevel(logging.CRITICAL) - rolling_horizon = cf_solving.pop("rolling_horizon", False) - skip_iterations = cf_solving.pop("skip_iterations", False) - if not n.lines.s_nom_extendable.any(): - skip_iterations = True - logger.info("No expandable lines found. Skipping iterative solving.") + # Handle special modes + if mode == "rolling_horizon": + all_kwargs = {**model_kwargs, **solve_kwargs} + all_kwargs["horizon"] = cf_solving.get("horizon", 365) + all_kwargs["overlap"] = cf_solving.get("overlap", 0) + return all_kwargs, {} - # add to network for extra_functionality - n.config = config - n.params = params + elif mode == "iterative": + all_kwargs = {**model_kwargs, **solve_kwargs} + all_kwargs["track_iterations"] = cf_solving["track_iterations"] + all_kwargs["min_iterations"] = cf_solving["min_iterations"] + all_kwargs["max_iterations"] = cf_solving["max_iterations"] - if rolling_horizon and rule_name == "solve_operations_network": - kwargs["horizon"] = cf_solving.get("horizon", 365) - kwargs["overlap"] = cf_solving.get("overlap", 0) - n.optimize.optimize_with_rolling_horizon(**kwargs) - status, condition = "", "" - elif skip_iterations: - status, condition = n.optimize(**kwargs) - else: - kwargs["track_iterations"] = cf_solving["track_iterations"] - kwargs["min_iterations"] = cf_solving["min_iterations"] - kwargs["max_iterations"] = cf_solving["max_iterations"] - if cf_solving["post_discretization"].pop("enable"): + if cf_solving["post_discretization"].get("enable", False): logger.info("Add post-discretization parameters.") - kwargs.update(cf_solving["post_discretization"]) - status, condition = n.optimize.optimize_transmission_expansion_iteratively( - **kwargs - ) + all_kwargs.update(cf_solving["post_discretization"]) - if not rolling_horizon: - if status != "ok": - logger.warning( - f"Solving status '{status}' with termination condition '{condition}'" - ) - check_objective_value(n, solving) + return all_kwargs, {} - if "warning" in condition: - raise RuntimeError("Solving status 'warning'. Discarding solution.") + return model_kwargs, solve_kwargs - if "infeasible" in condition: - labels = n.model.compute_infeasibilities() - logger.info(f"Labels:\n{labels}") - n.model.print_infeasibilities() - raise RuntimeError("Solving status 'infeasible'. Infeasibilities computed.") + +def create_optimization_model( + n: pypsa.Network, + config: dict, + params: dict, + model_kwargs: dict, + solve_kwargs: dict, + planning_horizons: str | None = None, +) -> None: + """ + Prepare optimization problem by creating model and adding extra functionality. + + This function: + 1. Attaches config and params to network for extra_functionality + 2. Creates the optimization model + 3. Adds extra functionality (custom constraints) + + Parameters + ---------- + n : pypsa.Network + The PyPSA network instance + config : dict + Configuration dictionary containing solver settings + params : dict + Dictionary of solving parameters + model_kwargs : dict + Arguments for n.optimize.create_model() + solve_kwargs : dict + Arguments for n.optimize.solve_model() + planning_horizons : str, optional + The current planning horizon year or None in perfect foresight + """ + # Add config and params to network for extra_functionality + n.config = config + n.params = params + + # Create optimization model + logger.info("Creating optimization model...") + n.optimize.create_model(**model_kwargs) + + # Add extra functionality (custom constraints) + logger.info("Adding extra functionality (custom constraints)...") + extra_functionality(n, n.snapshots, planning_horizons) if __name__ == "__main__": @@ -1412,12 +1706,15 @@ def solve_network( update_config_from_wildcards(snakemake.config, snakemake.wildcards) solve_opts = snakemake.params.solving["options"] + cf_solving = snakemake.params.solving["options"] np.random.seed(solve_opts.get("seed", 123)) + # Load network n = pypsa.Network(snakemake.input.network) planning_horizons = snakemake.wildcards.get("planning_horizons", None) + # Prepare network (settings before solving) prepare_network( n, solve_opts=snakemake.params.solving["options"], @@ -1427,24 +1724,100 @@ def solve_network( limit_max_growth=snakemake.params.get("sector", {}).get("limit_max_growth"), ) + # Determine solve mode + rolling_horizon = cf_solving.get("rolling_horizon", False) + skip_iterations = cf_solving.get("skip_iterations", False) + + if not n.lines.s_nom_extendable.any(): + skip_iterations = True + logger.info("No expandable lines found. Skipping iterative solving.") + logging_frequency = snakemake.config.get("solving", {}).get( "mem_logging_frequency", 30 ) + + # Solve network based on mode with memory_logger( filename=getattr(snakemake.log, "memory", None), interval=logging_frequency ) as mem: - solve_network( - n, - config=snakemake.config, - params=snakemake.params, - solving=snakemake.params.solving, - planning_horizons=planning_horizons, - rule_name=snakemake.rule, - log_fn=snakemake.log.solver, - ) + if rolling_horizon and snakemake.rule == "solve_operations_network": + logger.info("Using rolling horizon optimization...") + all_kwargs, _ = collect_kwargs( + snakemake.config, + snakemake.params.solving, + planning_horizons, + log_fn=snakemake.log.solver, + mode="rolling_horizon", + ) + + n.config = snakemake.config + n.params = snakemake.params + all_kwargs["extra_functionality"] = partial( + extra_functionality, planning_horizons=planning_horizons + ) + n.optimize.optimize_with_rolling_horizon(**all_kwargs) + status, condition = "", "" + + elif skip_iterations: + logger.info("Using single-pass optimization...") + model_kwargs, solve_kwargs = collect_kwargs( + snakemake.config, + snakemake.params.solving, + planning_horizons, + log_fn=snakemake.log.solver, + mode="single", + ) + create_optimization_model( + n, + config=snakemake.config, + params=snakemake.params, + model_kwargs=model_kwargs, + solve_kwargs=solve_kwargs, + planning_horizons=planning_horizons, + ) + + logger.info("Solving model...") + status, condition = n.optimize.solve_model(**solve_kwargs) + + else: + logger.info("Using iterative transmission expansion optimization...") + + all_kwargs, _ = collect_kwargs( + snakemake.config, + snakemake.params.solving, + planning_horizons, + log_fn=snakemake.log.solver, + mode="iterative", + ) + + n.config = snakemake.config + n.params = snakemake.params + all_kwargs["extra_functionality"] = partial( + extra_functionality, planning_horizons=planning_horizons + ) + status, condition = n.optimize.optimize_transmission_expansion_iteratively( + **all_kwargs + ) logger.info(f"Maximum memory usage: {mem.mem_usage}") + # Check results + if not rolling_horizon: + if status != "ok": + logger.warning( + f"Solving status '{status}' with termination condition '{condition}'" + ) + check_objective_value(n, snakemake.params.solving) + + if "warning" in condition: + raise RuntimeError("Solving status 'warning'. Discarding solution.") + + if "infeasible" in condition: + labels = n.model.compute_infeasibilities() + logger.info(f"Labels:\n{labels}") + n.model.print_infeasibilities() + raise RuntimeError("Solving status 'infeasible'. Infeasibilities computed.") + n.meta = dict(snakemake.config, **dict(wildcards=dict(snakemake.wildcards))) n.export_to_netcdf(snakemake.output.network)