Battery and storage optimization
The BESS Optimization module is designed to maximize the economic value of battery storage systems. The arbitrage algorithm optimizes charge/discharge cycles by exploiting price differentials, while Revenue Stacking automatically combines arbitrage, FCR, aFRR and MSD to maximize revenue across multiple markets simultaneously. The P&L Tracker tracks profits and losses for each battery with breakdowns by service. The degradation model predicts remaining useful life and true cost per cycle, while BMS telemetry provides real-time data on SoC, temperature and cell health.
Everything you need to get the most out of this module.
Optimization of charge/discharge cycles based on price forecasts with dynamic programming and operational constraints
Optimal combination of services — arbitrage, FCR, aFRR, MSD — that maximizes total revenue while respecting technical constraints
Profit and loss monitoring for each battery with breakdown by service, budget vs actual comparison and trend analysis
Aging models that predict remaining useful life, cost per cycle, and the impact of different operational strategies
Real-time data from Battery Management System: SoC, SoH, cell temperature, currents, voltages and diagnostic alerts
Simulation of scenarios with different mixes of services, prices and strategies to optimize medium-term planning
Real scenarios where this module makes the difference.
The system automatically allocates battery capacity between arbitrage and FCR based on next-day price forecasts.
The degradation model signals that a battery will reach 80% SoH in 14 months, triggering intervention planning.
Simulation of expected revenues for a new 10 MW/20 MWh BESS with three different operational strategies and two price scenarios.
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