Electricity bill savings
Quantify demand charge and energy charge reduction potential.
Behind-the-Meter Simulation
Behind-the-Meter Battery Simulation
Estimate electricity bill reduction and operational value using demand data and asset conditions.
What this simulation can show
Peak cut impact
See how site peaks may change under battery operation.
Additional monetization potential
Assess market-oriented options without losing sight of site operations.
Inputs and assumptions
Demand history
Use available site demand data such as 30-minute or hourly values.
Asset conditions
Reflect battery size, PCS limits, resilience requirements, and renewable configuration.
Tariff and operating conditions
Include tariff structure, contract demand, and any operating restrictions.
Example outputs
Savings scenario comparison
Compare multiple operating strategies before selecting a direction.
Time-series operation
See when the battery is likely to create value during site operations.
Decision support summary
Identify the follow-up questions that matter before investment.
Discuss a site-level simulation
Recent demand data is usually enough to start forming a practical first view.
Process
01
Scope alignment
Define the asset, the target business model, and the decisions to support.
02
Data intake
Collect operating data, asset specifications, market assumptions, and constraints.
03
Simulation
Compare multiple operating scenarios using our forecasting and control logic.
04
Review
Share the revenue outlook, savings potential, and operational implications in a report session.
Discuss a site-level simulation
We can structure the study around tariffs, operating schedules, and battery behavior at the site.
Talk to us about behind-the-meter simulation