Battery & solar optimisation
Charge when energy is cheaper. Discharge when the building needs it most.
Optimise battery operation against prices, load, solar production and site constraints while keeping every command inside configured guardrails, approvals and manual override.
Please enter a valid email address.
Early-access module - currently validating with pilot sites.
Price-aware decisions
Recalculate the best move as conditions change.
Prices, site load, solar output and reserve needs change through the day. The optimizer scores the permitted options again as they change.
- Read the price signal that applies to the site under its tariff or market.
- Forecast site load and solar output.
- Optimise for cost, self-consumption, peak shaving, backup or an approved combination.
Your rules
Chase the value. Never cross the operating limits.
A cheaper hour is not useful if the decision damages the battery, sacrifices required backup or breaches the grid agreement. Every candidate action is tested against the site rules first.
- Protect minimum and maximum state of charge, reserve and battery-health limits.
- Respect inverter power, cycle, grid import and export constraints.
- Include tariff and round-trip efficiency in the commercial result.
Human in the loop
See every command. Stop any command path.
Choose whether the optimizer advises, waits for approval or writes to supported equipment. Each cycle preserves the input readings, candidate actions, safety checks, decision and outcome.
- Set advisory, approval-required or automatic mode per site and action type.
- Stop command execution from the platform at any time.
- Review every cycle in an audit trail that shows why the selected action won.
Connect the battery without giving up its protections.
Volts reads and controls only through supported battery and inverter interfaces. Native protections remain authoritative, while Volts adds site, tariff and portfolio context above them.
What this means in practice
- Battery, inverter and meter interfaces are confirmed per site during scoping.
- Every integration states whether it is read-only, advisory or write-enabled.
FAQ
Battery optimisation with the assumptions exposed
What does the optimizer actually optimize?
The approved objective can prioritise energy cost, solar self-consumption, peak shaving, backup reserve, battery health, emissions or a weighted combination.
Can it act without human approval?
Only where the site configuration permits write-enabled control. Advisory and approval-required modes remain available, and every command must pass the configured operating limits.
Where do price and forecast data come from?
Volts sources them. The platform is integrated with market-price and weather data providers, and load and solar forecasts are built from the site’s own readings - so the optimiser has its inputs without you arranging a feed.
Which batteries and inverters can Volts control?
Supported systems are confirmed per site during scoping, and every integration states whether it is read-only, advisory or write-enabled.
Does the savings figure include battery degradation and efficiency losses?
The result shows every input it was calculated from beside the projected or measured value, so what is and is not included stays visible rather than assumed.
What happens if connectivity or market data fails?
Native battery and inverter protections remain in force, and the safe state for your installation is confirmed at commissioning.
Can Volts optimise a battery that is not installed yet?
Volts can model a proposed strategy from your interval data, tariff and battery specification. The output is a scenario, not a guaranteed return.
Test the strategy against your own load curve.
Bring interval consumption, tariff, solar profile and battery specification. We will model the permitted strategies, expose every assumption and show what requires live-site validation.