Probabilistic Energy-storage Assessment.
Make every battery hour earn — without spending its calendar life.
A multi-period state-of-charge optimiser that value-stacks energy arbitrage with frequency response and balancing-mechanism revenue across all simulated hours — while respecting round-trip efficiency and degradation.
Why it matters now Storage is scaling fast — the global battery market is set to roughly double by 2030 and co-located solar-plus-storage is becoming the default — but a battery only earns its keep if it's sized and operated against the real congestion and price signals at its node. Oversize it and capital sits idle; undersize it and value is left on the table. PEA finds the size and the operating strategy that pay back.
Industry context, 2025 — IEA, Ember, market forecasts and a 2025 survey of 100+ energy professionals.
Charge cheap, discharge into the peaks.
A representative day of optimised dispatch — state of charge following the spot price, with charging and discharging windows shaded.
One optimiser, every revenue stream.
Multi-period SoC
A MILP over half-hour settlement co-solves arbitrage, frequency-response availability and balancing bids.
Stochastic scenarios
All simulated hours of price and frequency — Parquet-backed for sub-minute access.
Degradation-aware
Round-trip efficiency and cycle/calendar ageing priced into every dispatch decision.
Value-stack output
A bankable revenue stack and an end-of-life trajectory the lender can underwrite.
Value-stacking lifts revenue +135% over arbitrage alone — and PEA proves it without quietly burning the asset's calendar life.
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