Battery energy storage systems are dispatched using static charge and discharge heuristics that ignore intraday price movements, ancillary service pricing, and battery degradation curves simultaneously. Revenue stacking across energy arbitrage, frequency response, and capacity market participation remains largely manual, leaving significant value uncaptured and accelerating battery degradation through suboptimal cycling.
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Asset Manager operating a 50 MW / 100 MWh BESS portfolio participating in energy arbitrage, FFR, and capacity market contracts
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Energy Trader
Optimizes BESS charge and discharge schedules by combining day-ahead prices, intraday signals, and ancillary service pricing into a unified dispatch plan.
Grid/Market Analyst
Monitors ancillary service market prices and frequency response auction outcomes to inform real-time storage dispatch decisions.
Finance/Settlement
Tracks revenue attribution across market products and models degradation costs to calculate true net revenue per dispatch cycle.
Dynamic BESS dispatch optimization using real-time day-ahead and intraday price signals, degradation-aware cycling constraints, and multi-market revenue stacking across energy arbitrage, frequency response, and capacity services.
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The value-maximising plan charges the 100 MWh unit at hours 3-5 (EUR 41/MWh) and discharges into the evening peak at hours 18-20 (EUR 118/MWh), yielding an estimated EUR 9.6k for the day, split roughly 60% energy arbitrage and 40% frequency response. Today needs 1.4 equivalent full cycles, within your 1.8-cycle degradation budget. Recommend running the schedule and holding 20% of capacity back for FFR delivery.