DISPATCH & REVENUE OPTIMIZATION

Optimize battery dispatch around market value and asset constraints.

PYTHIA combines market price forecasts, battery operating limits and optimization logic to determine charge, discharge and idle schedules for BESS and hybrid projects.

OPTIMIZATION FRAMEWORK

One optimization model connecting market value and battery physics.

PYTHIA evaluates market price signals together with battery operating constraints to determine economically driven charge, discharge and idle decisions across the optimization horizon.

01 Market signal

Forecast prices · Optimization horizon · Market assumptions

Use forecast market prices as the economic signal that drives the value of charging, discharging and remaining idle over time.

02 Battery constraints

Power · SoC · Cycling · Operating limits

Constrain each dispatch decision by the physical and operational limits of the selected battery asset and project configuration.

03 Optimized dispatch

Charge · Discharge · Idle · Energy trajectory

Determine an operational schedule that allocates battery flexibility across the horizon while pursuing the selected economic objective.

BATTERY OPERATING CONSTRAINTS

Optimize value without stepping outside the battery operating envelope.

Every dispatch decision is evaluated against the physical and operating limits of the selected battery, keeping the optimized schedule feasible throughout the simulation horizon.

Power limits

Constrain charging and discharging power to the operating capability of the selected BESS.

State-of-charge window

Keep the battery trajectory within the configured minimum and maximum SoC boundaries.

Cycling constraints

Limit battery use according to the cycling assumptions applied to the optimization horizon.

Operating restrictions

Apply project-level charging, discharging and operating policies when determining the feasible dispatch schedule.

REVENUE OPTIMIZATION

Allocate battery flexibility to higher-value market periods.

PYTHIA evaluates the value of charging, discharging and remaining idle across the optimization horizon, using market prices together with battery constraints to determine the economically preferred dispatch trajectory.

Charge when value supports it

Use lower-value periods as charging opportunities when doing so improves the value of later battery flexibility.

Discharge into stronger price periods

Allocate stored energy to higher-value intervals while respecting available power, energy and operating limits.

Evaluate the full horizon

Optimize decisions jointly across time rather than treating each market interval as an isolated charging or discharging choice.

OPTIMIZATION RESULTS

Turn optimized decisions into transparent operational results.

Review the resulting charge and discharge schedule, expected revenue, battery utilization and time-series behaviour for the selected asset and simulation horizon.

Dispatch profile

Inspect when the battery charges, discharges or remains idle and how power is allocated throughout the optimization horizon.

Revenue visibility

Review the estimated market value associated with the optimized battery schedule for the selected simulation run.

Detailed data export

Export optimization results for further analysis, validation or integration into downstream project workflows.

Results remain linked to the selected asset, simulation window and optimization assumptions.

OPTIMIZATION OBJECTIVES

Optimize the asset around the objective that matters to the project.

Different projects require different operating priorities. PYTHIA applies the selected economic objective while preserving the same underlying asset and operating constraints.

MARKET REVENUE

Capture value from price variation.

Arbitrage · Charging · Discharging

Allocate battery flexibility across the market horizon to pursue revenue opportunities while respecting asset operating limits.

PEAK MANAGEMENT

Reduce exposure to high-demand periods.

Peak shaving · Load shifting · Demand management

Use available battery flexibility to reshape the project power profile when reducing peak-related costs is the primary objective.

PROJECT ECONOMICS

Connect dispatch decisions with project value.

Revenue · Costs · NPV-oriented analysis

Evaluate optimized operation within the wider project economics when investment performance is the decision criterion.

READY TO OPTIMIZE YOUR ASSET?

Turn market signals and battery constraints into actionable dispatch decisions.

Use PYTHIA to evaluate battery operation, optimize dispatch and quantify market value within one connected workflow.

Meten Solution Services

Optimization