Energy time-series simulation

EnergyTimeSeriesSimulator executes a ProcessSystem and one or more EnergyBus objects over fixed-duration intervals. It supports repeated steady-state studies and transient execution for storage, rotating shafts, trips, ramp limits, and other dynamic equipment.

Profiles may be stepwise or linearly interpolated:

EnergyTimeSeriesProfile wind = EnergyTimeSeriesProfile.linear(
    "wind generation",
    new double[] {0.0, 3600.0, 7200.0},
    new double[] {1.0e6, 2.5e6, 0.5e6});

EnergyTimeSeriesProfile demand = EnergyTimeSeriesProfile.step(
    "process demand",
    new double[] {0.0, 3600.0, 7200.0},
    new double[] {1.5e6, 2.0e6, 1.0e6});

Bind each profile to the relevant setter:

EnergyTimeSeriesSimulator study = new EnergyTimeSeriesSimulator(process);
study.addEnergyBus(electricalBus);
study.setIntervalSeconds(900.0);
study.setDurationSeconds(24.0 * 3600.0);

study.addProfile(wind, value -> windPort.setDuty(value));
study.addProfile(demand, value -> loadPort.setRequestedPower(value));

For transient studies:

study.setExecutionMode(EnergyTimeSeriesSimulator.ExecutionMode.TRANSIENT);

The result stores every interval and integrates the network report rates:

EnergyTimeSeriesResult result = study.run();

double servedMWh = result.getServedEnergyMWh();
double unmetMWh = result.getUnmetEnergyMWh();
double curtailedMWh = result.getCurtailedEnergyMWh();
double operatingCost = result.getOperatingCost();
double co2Kg = result.getCo2EmissionsKg();

The last interval is shortened automatically when the study duration is not an integer multiple of the interval length. Every interval retains immutable EnergyNetworkReport snapshots for audit, plotting, and downstream optimization.

Recommended uses

• offshore electrical balance with wind, gas turbines, batteries, and process loads;
• variable electricity price and grid-carbon intensity studies;
• renewable curtailment and unmet-demand analysis;
• battery state-of-charge and ramp studies in transient mode;
• utility demand profiles and operating-cost estimates;
• lifecycle or seasonal operating scenarios.

Scope

The runner performs chronological simulation and KPI integration. It does not itself solve unit commitment, market bidding, or stochastic optimization. Dispatch within each interval follows the configured EnergyBus policy.