Degradation-aware dispatch. It captures grid-market revenue without spending more asset life than the revenue is worth, and tells you which cycles were not worth taking.
Chasing every price spike can spend more asset life than the revenue is worth. This tells you which cycles to take and which to skip.
Dispatching a battery on price alone runs it hard through every scarcity event. The revenue looks good on the meter while the degradation quietly outruns it — you are selling the asset by the cycle.
GridPowr weighs the degradation each cycle costs against the revenue it earns, using real-time state from FlowPowr™, and gates participation to the trades worth making.
The market-data study behind this is completing engineering verification; the figures are available under diligence rather than published here.
Live degradation state tells GridPowr what each cycle actually costs the asset — not a nameplate assumption.
Every market action is scored against the remaining life it consumes, so revenue is measured net of the damage it does.
Capture the events worth chasing and skip the ones that cost more asset life than the revenue is worth.
GridPowr scores every market action against the life it spends, so you capture the trades worth making and skip the ones that cost more asset than they earn.
Study on public market data, completing engineering verification. Figures available under diligence.
Remaining-useful-life per asset. Forecasts when an asset crosses end-of-life, attributes why — and abstains when the data cannot support a call.
How one asset's degradation reshapes its neighbours' limits. System risk, not component risk — the whole facility as one connected system.
The commercial decision layer. Turns remaining life into a cost-optimal action — act now or wait, here is the window, and here is the justification record.
A read-only assessment proves the forecast on your own data before any hardware conversation. You see the record; you decide what it is worth.
