Inputs
Strategy
The user chooses the strategy that the dispatch model follows.
Strategy name | Description |
---|---|
Energy-only | The model optimizes revenue via energy arbitrage only. The model never makes ancillary service commitments. |
Energy + AS | The model will co-optimize between energy arbitrage and ancillary service commitments. |
Battery configuration
Users can set the following variables, or leave them at their default values.
Attribute | Standard Value | Unit | Configurable |
---|---|---|---|
Power Capacity | - | MW | ✅ |
Duration | - | hours | ✅ |
Location | - | ERCOT load zones | ✅ |
Round-trip Efficiency | 88 | % | ✅ |
Maximum Cycling | 2 | cycles/day | ✅ |
Battery Lifetime | 8000 | cycles | ✅ |
Cycling Charge | 20 | $/MWh | ✅ |
State of Charge Limits | 0-100 | % of energy capacity | ✅ |
Degradation | - | % decrease in energy capacity | ✅ |
Energy prices
Energy prices are a key input to the dispatch model. They come from the production cost model.
Ancillary service prices
Ancillary service prices are another key input to the dispatch model. They are generated by the Ancillary Services Pricing Model.
Using the historical correlation between energy and ancillary services prices, a regression model was built to project that into the future using the energy prices produced by the fundamentals model.
Updated 3 months ago