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johnjasa merged 1 commit into from
Apr 15, 2026
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Making changes per Gen's suggestion #681

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7 changes: 5 additions & 2 deletions docs/storage/storage_models_index.md
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# Storage Models
Storage technologies input and output the 'Storage Commodity' (`commodity`) at different times. These technologies can be filled or charged, then unfilled or discharged at some later time. These models are usually constrained by two key model parameters: storage capacity and charge/discharge rate.

Storage technologies input and output the 'Storage Commodity' (`commodity`) as a time series. These technologies can be both filled or charged and unfilled or discharged, resulting in a commodity stream that can be positive and negative.These models are usually constrained by two key model parameters: storage capacity and charge/discharge rate.

## Storage Performance Models

H2I currently supports the following storage performance models:
- [`StoragePerformanceModel`](#simple-generic-storage-performance)
- [`PySAMBatteryPerformanceModel`](#pysam-battery-performance)
- `StorageAutoSizingModel`
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The results that are output per-year of the `plant_life` are:
- `annual_commodity_produced`: each value is the `total_commodity_produced` scaled to a 1-year (8760 hours) simulation. This value may be negative if the storage charges more than discharges.
- `capacity_factor`: the storage capacity factor calculated as capacity factors are calculated in converter technologies, a ratio of the sum of *`total_commodity_produced`* to the discharge rate (or `rated_commodity_production`). This value may be negative if the storage charges more than discharges.
- `capacity_factor`: the storage capacity factor which is calculated in the same way that capacity factors are calculated in converter technologies, which is a ratio of the sum of *`total_commodity_produced`* to the discharge rate (or `rated_commodity_production`). This value may be negative if the storage charges more than discharges.
$
CF = \frac{\sum_{t=0}^{n_{\text{timesteps}}}(\text{commodity_out}_t*dt)}{\text{\text{discharge}\_\text{rate}*n_{\text{timesteps}}*dt}
$
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