Revenue improvement potential
Compare optimized operation against baseline export behavior.
FIP PV Simulation
FIP Solar + Battery Simulation
Visualize the revenue improvement available under FIP using generation data, market prices, and battery assumptions.
What this simulation can show
Charge and discharge timing
See when the battery should store versus release value.
Assumption sensitivity
Understand how price and generation shifts change the outcome.
Inputs and assumptions
Generation data
Use generation history or a representative production profile.
Price assumptions
Apply market price assumptions over the target evaluation horizon.
Battery conditions
Reflect battery capacity, output, and other operating constraints.
Example outputs
Revenue difference comparison
Compare how much value is created under each operating pattern.
Time-series operating view
See the relationship between generation, export, and battery behavior.
Operational design insight
Identify the assumptions that matter most before implementation.
Discuss an FIP operating study
A first-pass comparison can start from assumed profiles and become more detailed later.
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 an FIP operating study
We can frame the analysis around export timing, storage logic, and the assumptions most relevant to your project.
Talk to us about FIP solar simulation