Generate when it pays.
Plan CHP runs around day-ahead prices and weather, within each plant’s limits.
Run plans weighed against priceEnergy optimization
Energy optimization against the market.
Power generation, biomethane, PV and battery storage scheduled against day-ahead prices and weather forecasts, within each site’s limits. Every plan shows its value in euros, and your operators approve it.
Day-ahead pricesMarket prices next to plant state
Weather forecastsSolar, temperature and demand context
Site limitsRamp rates, storage levels and equipment constraints
Operator approvalEvery plan reviewed before it runs
01What it schedules
Generation, storage and flexible loads, on one plan.
Plant data, market prices and weather forecasts on the same model, so every plan respects what each site can actually deliver.
CHP & generators
Run hours, output and starts, weighed against price and wear.
PV & batteries
Expected solar output and battery state, charged and discharged on price.
Gas & biomethane
Gas storage, CHP and upgrading, so gas goes where it earns most.
Flexible loads
Compressors, chillers and other loads moved to cheaper hours, within production limits.
02Use cases
Run when it pays, within the limits.
Recommendations, not automatic control: operators see the plan, the data behind it and its value before it runs.
Charge and discharge on price.
Battery and gas storage scheduled against prices and expected PV output.
Storage that earns its keepShift loads to cheaper hours.
Move flexible loads out of expensive hours without breaking production targets.
Lower energy cost per unitWeigh output against wear.
Starts, run hours and failure risk count as costs, so a plan does not buy revenue with breakdowns.
Revenue without hidden wearStay within emissions limits.
Plans respect site emissions caps, with every figure traced to its source.
Plans checked against emissions capsFeed your marketer or trading desk.
Export the plan and expected output to whoever markets your power and gas.
One plan, sharedPart of Operations intelligence. See the biogas and biomethane example.
Start with one site and one market.
Then roll the same model out across your portfolio.
A focused first engagement, measured against your own baseline.
- We map your sites’ PLCs, SCADA, tags and data with your team.
- We agree one outcome and a baseline, for example revenue per MWh or energy cost per unit.
- We connect read-only, check every signal against your HMI, then the same model covers the next sites.
First results in 2 to 4 weeks. You decide on rollout after you see them.