Configure a battery — power, energy, round-trip efficiency, cycles per day and installed cost — and gridIQ backtests it against every 5-minute dispatch price in your region over the last year, returning energy-arbitrage revenue, an FCAS contingency estimate and a simple payback.
In-app at /bess. Programmatic access via the gridIQ API: Watt's evaluate_bess tool runs the same backtest over any region and battery configuration the caller specifies.
It's a screening-grade backtest, not a bankable revenue model. It excludes degradation, augmentation, marginal loss factors, network and connection constraints, connection cost, O&M, the nuance of FCAS enablement versus payment, and the difference between dispatch and final settlement prices. The realistic figure is a documented capture factor rather than a true forecast-driven backtest — gridIQ retains pre-dispatch forecasts for only seven days, so a forecast-driven simulation over a 90-to-365-day window isn't possible from stored data. Use it to size the opportunity, then commission a full feasibility study before committing capital.