Add efficiency-heat parameter for Fischer-Tropsch

Author: amos-schledorn

outputs/costs_2020.csv

@@ -234,6 +234,7 @@ Fischer-Tropsch,VOM,5.636,EUR/MWh_FT,"Danish Energy Agency, inputs/data_sheets_f
 Fischer-Tropsch,capture rate,0.9,per unit,Assumption based on doi:10.1016/j.biombioe.2015.01.006,,
 Fischer-Tropsch,carbondioxide-input,0.36,t_CO2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","Input per 1t FT liquid fuels output, carbon efficiency increases with years (4.3, 3.9, 3.6, 3.3 t_CO2/t_FT from 2020-2050 with LHV 11.95 MWh_th/t_FT).",
 Fischer-Tropsch,efficiency,0.799,per unit,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), section 6.3.2.2.",,2017.0
+Fischer-Tropsch,efficiency-heat,0.25,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","102 Hydrogen to Jet:  District Heat  Output,",2020.0
 Fischer-Tropsch,electricity-input,0.008,MWh_el/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.005 MWh_el input per FT output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,hydrogen-input,1.531,MWh_H2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.995 MWh_H2 per output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,investment,819108.478,EUR/MW_FT,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), table 8: “Reference scenario”.","Well developed technology, no significant learning expected.",2017.0

outputs/costs_2025.csv

@@ -234,6 +234,7 @@ Fischer-Tropsch,VOM,5.0512,EUR/MWh_FT,"Danish Energy Agency, inputs/data_sheets_
 Fischer-Tropsch,capture rate,0.9,per unit,Assumption based on doi:10.1016/j.biombioe.2015.01.006,,
 Fischer-Tropsch,carbondioxide-input,0.343,t_CO2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","Input per 1t FT liquid fuels output, carbon efficiency increases with years (4.3, 3.9, 3.6, 3.3 t_CO2/t_FT from 2020-2050 with LHV 11.95 MWh_th/t_FT).",
 Fischer-Tropsch,efficiency,0.799,per unit,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), section 6.3.2.2.",,2017.0
+Fischer-Tropsch,efficiency-heat,0.225,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","102 Hydrogen to Jet:  District Heat  Output,",2020.0
 Fischer-Tropsch,electricity-input,0.0075,MWh_el/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.005 MWh_el input per FT output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,hydrogen-input,1.476,MWh_H2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.995 MWh_H2 per output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,investment,761417.4621,EUR/MW_FT,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), table 8: “Reference scenario”.","Well developed technology, no significant learning expected.",2017.0

outputs/costs_2030.csv

@@ -234,6 +234,7 @@ Fischer-Tropsch,VOM,4.4663,EUR/MWh_FT,"Danish Energy Agency, inputs/data_sheets_
 Fischer-Tropsch,capture rate,0.9,per unit,Assumption based on doi:10.1016/j.biombioe.2015.01.006,,
 Fischer-Tropsch,carbondioxide-input,0.326,t_CO2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","Input per 1t FT liquid fuels output, carbon efficiency increases with years (4.3, 3.9, 3.6, 3.3 t_CO2/t_FT from 2020-2050 with LHV 11.95 MWh_th/t_FT).",
 Fischer-Tropsch,efficiency,0.799,per unit,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), section 6.3.2.2.",,2017.0
+Fischer-Tropsch,efficiency-heat,0.2,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","102 Hydrogen to Jet:  District Heat  Output,",2020.0
 Fischer-Tropsch,electricity-input,0.007,MWh_el/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.005 MWh_el input per FT output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,hydrogen-input,1.421,MWh_H2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.995 MWh_H2 per output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,investment,703726.4462,EUR/MW_FT,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), table 8: “Reference scenario”.","Well developed technology, no significant learning expected.",2017.0

outputs/costs_2035.csv

@@ -234,6 +234,7 @@ Fischer-Tropsch,VOM,3.9346,EUR/MWh_FT,"Danish Energy Agency, inputs/data_sheets_
 Fischer-Tropsch,capture rate,0.9,per unit,Assumption based on doi:10.1016/j.biombioe.2015.01.006,,
 Fischer-Tropsch,carbondioxide-input,0.3135,t_CO2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","Input per 1t FT liquid fuels output, carbon efficiency increases with years (4.3, 3.9, 3.6, 3.3 t_CO2/t_FT from 2020-2050 with LHV 11.95 MWh_th/t_FT).",
 Fischer-Tropsch,efficiency,0.799,per unit,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), section 6.3.2.2.",,2017.0
+Fischer-Tropsch,efficiency-heat,0.185,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","102 Hydrogen to Jet:  District Heat  Output,",2020.0
 Fischer-Tropsch,electricity-input,0.007,MWh_el/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.005 MWh_el input per FT output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,hydrogen-input,1.392,MWh_H2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.995 MWh_H2 per output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,investment,657729.5552,EUR/MW_FT,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), table 8: “Reference scenario”.","Well developed technology, no significant learning expected.",2017.0

outputs/costs_2040.csv

@@ -234,6 +234,7 @@ Fischer-Tropsch,VOM,3.4029,EUR/MWh_FT,"Danish Energy Agency, inputs/data_sheets_
 Fischer-Tropsch,capture rate,0.9,per unit,Assumption based on doi:10.1016/j.biombioe.2015.01.006,,
 Fischer-Tropsch,carbondioxide-input,0.301,t_CO2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","Input per 1t FT liquid fuels output, carbon efficiency increases with years (4.3, 3.9, 3.6, 3.3 t_CO2/t_FT from 2020-2050 with LHV 11.95 MWh_th/t_FT).",
 Fischer-Tropsch,efficiency,0.799,per unit,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), section 6.3.2.2.",,2017.0
+Fischer-Tropsch,efficiency-heat,0.17,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","102 Hydrogen to Jet:  District Heat  Output,",2020.0
 Fischer-Tropsch,electricity-input,0.007,MWh_el/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.005 MWh_el input per FT output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,hydrogen-input,1.363,MWh_H2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.995 MWh_H2 per output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,investment,611732.6641,EUR/MW_FT,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), table 8: “Reference scenario”.","Well developed technology, no significant learning expected.",2017.0

outputs/costs_2045.csv

@@ -234,6 +234,7 @@ Fischer-Tropsch,VOM,2.818,EUR/MWh_FT,"Danish Energy Agency, inputs/data_sheets_f
 Fischer-Tropsch,capture rate,0.9,per unit,Assumption based on doi:10.1016/j.biombioe.2015.01.006,,
 Fischer-Tropsch,carbondioxide-input,0.2885,t_CO2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","Input per 1t FT liquid fuels output, carbon efficiency increases with years (4.3, 3.9, 3.6, 3.3 t_CO2/t_FT from 2020-2050 with LHV 11.95 MWh_th/t_FT).",
 Fischer-Tropsch,efficiency,0.799,per unit,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), section 6.3.2.2.",,2017.0
+Fischer-Tropsch,efficiency-heat,0.16,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","102 Hydrogen to Jet:  District Heat  Output,",2020.0
 Fischer-Tropsch,electricity-input,0.007,MWh_el/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.005 MWh_el input per FT output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,hydrogen-input,1.345,MWh_H2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.995 MWh_H2 per output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,investment,565735.7731,EUR/MW_FT,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), table 8: “Reference scenario”.","Well developed technology, no significant learning expected.",2017.0

outputs/costs_2050.csv

@@ -234,6 +234,7 @@ Fischer-Tropsch,VOM,2.2331,EUR/MWh_FT,"Danish Energy Agency, inputs/data_sheets_
 Fischer-Tropsch,capture rate,0.9,per unit,Assumption based on doi:10.1016/j.biombioe.2015.01.006,,
 Fischer-Tropsch,carbondioxide-input,0.276,t_CO2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","Input per 1t FT liquid fuels output, carbon efficiency increases with years (4.3, 3.9, 3.6, 3.3 t_CO2/t_FT from 2020-2050 with LHV 11.95 MWh_th/t_FT).",
 Fischer-Tropsch,efficiency,0.799,per unit,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), section 6.3.2.2.",,2017.0
+Fischer-Tropsch,efficiency-heat,0.15,per unit,"Danish Energy Agency, inputs/data_sheets_for_renewable_fuels.xlsx","102 Hydrogen to Jet:  District Heat  Output,",2020.0
 Fischer-Tropsch,electricity-input,0.007,MWh_el/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.005 MWh_el input per FT output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,hydrogen-input,1.327,MWh_H2/MWh_FT,"DEA (2022): Technology Data for Renewable Fuels (https://ens.dk/en/our-services/projections-and-models/technology-data/technology-data-renewable-fuels), Hydrogen to Jet Fuel, Table 10 / pg. 267.","0.995 MWh_H2 per output, output increasing from 2020 to 2050 (0.65, 0.7, 0.73, 0.75 MWh liquid FT output).",
 Fischer-Tropsch,investment,519738.882,EUR/MW_FT,"Agora Energiewende (2018): The Future Cost of Electricity-Based Synthetic Fuels (https://www.agora-energiewende.de/en/publications/the-future-cost-of-electricity-based-synthetic-fuels-1/), table 8: “Reference scenario”.","Well developed technology, no significant learning expected.",2017.0

scripts/compile_cost_assumptions.py

@@ -801,7 +801,7 @@ def get_data_DEA(
         "Energy losses during storage",
         "District Heating Output, [MWh/MWh Total Input]",
         "High value heat Output [MWh/MWh Total Input]",
-        "District Heating Output [MWh/MWh Total Input]",
+        "District Heat  Output, [MWh/MWh Total Input]",
     ]
 
     # this is not good at all but requires significant changes to `test_compile_cost_assumptions` otherwise
@@ -2065,6 +2065,7 @@ def order_data(years: list, technology_dataframe: pd.DataFrame) -> pd.DataFrame:
                 | (df.index.str.contains("District Heating Output,"))
                 | (df.index.str.contains("High value heat Output"))
                 | (df.index.str.contains("District Heating Output"))
+                | (df.index.str.contains("District Heat  Output,"))
                 | (df.index.str.contains("Bio SNG"))
                 | (df.index.str.contains("biochar"))
                 | (df.index == ("Hydrogen"))
@@ -2089,6 +2090,10 @@ def order_data(years: list, technology_dataframe: pd.DataFrame) -> pd.DataFrame:
 
         if tech_name == "Fischer-Tropsch":
             efficiency[years] *= 100
+            with_district_heat_recovery = efficiency.index.str.contains("District Heat  Output,")
+            efficiency_heat = efficiency[with_district_heat_recovery].copy()
+            efficiency_heat["parameter"] = "efficiency-heat"
+            clean_df[tech_name] = pd.concat([clean_df[tech_name], efficiency_heat])
 
         if tech_name == "Haber-Bosch":
             with_high_value_heat_recovery = efficiency.index.str.contains("High value heat Output")