02 — How it works

Four steps from facility to schedule.

A continuous data collector. A constraint solver. A schedule your operations team can trust. No changes to workload code.

01
Step 01 · Connect

Configure your facility.

Configure your facility — solar capacity, battery size, IT load, diesel cost.

A guided setup captures your PV nameplate capacity, IT load, and diesel cost per litre.
PV CAPACITY BATTERY IT LOAD DIESEL COST FACILITY CONFIG
02
Step 02 · Collect

Pull live signals.

Fluxr pulls live solar forecasts and carbon signals — solar hourly, carbon every 15 minutes.

Numerical weather prediction feeds your generation forecast. Carbon intensity is fetched from regional providers, or computed from our diesel proxy where coverage is absent.
OPEN-METEO SOLAR · HOURLY ELECTRICITY MAPS CARBON · 15 MIN WATTTIME MARGINAL · CAISO PROXY MODELS LAGOS · NAIROBI SIGNAL STORE
03
Step 03 · Optimise

Solve for the next 24 hours.

The CP-SAT solver finds the provably optimal schedule for the next 24 hours.

We model jobs, deadlines, and priorities as a constraint program. Google's OR-Tools CP-SAT solver returns a provably optimal schedule, even with complex battery state-of-charge constraints.
24H HORIZON SUBJECT TO · DEADLINES · BATTERY SOC FLOOR · CHARGE / DISCHARGE RATES · POWER BALANCE PER HOUR CP-SAT → OPTIMAL OR INFEASIBLE
04
Step 04 · Save

Run jobs in solar windows.

The solver returns a 24-hour schedule placing deferrable jobs in forecast solar windows, subject to deadline and battery state-of-charge constraints.

Savings are modelled from the schedule, not measured. Fluxr has no metered deployments yet, so any figure we publish is a projection from forecast data, and we label it as such. Measured results follow the first facility integration.
FORECAST SOLAR JOBS IN THE SOLAR WINDOW

The integration Fluxr needs does not exist yet.

Step 01 describes the integration we are building toward. No facility has completed it.

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