Energy Storage & Dispatch
Battery sizing, dispatch optimization, and revenue stacking
For: Asset Manager · Storage Engineer · Energy Trader · Project Developer
The challenge
Battery energy storage systems are capital-intensive assets whose economics depend entirely on how they are operated. A BESS sized for peak shaving alone may never reach positive NPV, while one optimized for revenue stacking — simultaneously serving arbitrage, frequency regulation, capacity reserves, and demand charge reduction — can achieve payback in 4-6 years. But co-optimizing across multiple revenue streams requires real-time price signals, accurate state-of-health monitoring, and dispatch algorithms that respect degradation constraints. Most operators either run static schedules that leave value on the table or rely on vendor-locked optimization platforms that obscure the logic behind dispatch decisions.
Meridia modules that help
Battery Storage
Sizing, dispatch optimization, degradation, market ops
Demand Response & Flexibility
Load flexibility, demand response, virtual power plants
Forecasting
Demand, generation, price, and weather forecasting
Procurement
Strategic sourcing, PPA structuring, hedging, and risk management
Renewable Assets
Solar siting, wind assessment, scenario economics
How it works
- 1
Size and select the right system
Model storage sizing against your specific use case — peak shaving, solar self-consumption, grid services, or multi-use. Compare cell chemistries based on cycle life, round-trip efficiency, thermal behavior, and degradation characteristics under your projected cycling profile. Run 10-year and 20-year financial scenarios.
- 2
Design the dispatch strategy
Define which revenue streams the BESS will serve and their priority hierarchy. Model co-optimized dispatch across time-of-use arbitrage, demand charge reduction, frequency regulation, and capacity reserves. Set degradation guardrails — maximum daily throughput, depth-of-discharge limits, temperature thresholds — to protect warranty and long-term asset value.
- 3
Monitor state-of-health in real time
Track capacity fade, internal resistance growth, and thermal behavior at the cell and rack level. Compare actual degradation against electrochemical model predictions to detect anomalous aging patterns early. Adjust dispatch parameters as the battery ages to maintain optimal economics throughout its lifecycle.
- 4
Optimize and report
Continuously refine dispatch based on updated price forecasts, degradation state, and market conditions. Generate performance reports showing revenue attribution by stream, round-trip efficiency trends, state-of-health projections, and remaining warranty headroom. Compare actual returns against the original investment case.