Design and sell the right battery storage system with simulation-backed modeling
SolarVis simulates battery performance, self-consumption, backup scenarios, and ROI using real consumption and tariff data, enabling you to configure the optimal storage size for each project and give your customers a clear picture of their savings potential before installation.
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Battery modeling that reflects real operation
One operating mode, one set of targets, one auto-sized capacity. Storage stays grounded in the customer's load profile and the array, not in nameplate kWh.
Use-case-driven sizing
Pick the operating mode: target self-consumption %, minimum backup hours plus critical load %, or target autonomy % for off-grid. Capacity falls out from PV production, hourly consumption, and your targets.
Hour-by-hour dispatch
State-of-charge limits, round-trip efficiency, and charge or discharge power constraints in every hour. Daily usage curves and state-of-charge profile, not just nameplate kWh.
Backup that knows your loads
Critical load percentage, backup reserve rate, and solar contribution to backup duration. The engine reports backup hours and usable backup capacity together, not in isolation.
Real-product database
Accept the auto-sized capacity or pick a specific battery model from the database. Compare alternatives side by side before applying the configuration.
Savings and ROI report
Turn dispatch and three-scenario bill modeling into a financial feasibility view: payback period, lifetime savings, and ROI your customer can trust before installation.
Battery storage is one of the four components solarVis models together: PV, battery, heat pump, and EV charger. Sizing one rebalances the others, so your feasibility never goes stale.
See 3D system designStorage modeled at the level the project requires
Self-consumption sized to the target rate you pick
Set a target self-consumption rate. The engine runs an hourly simulation against PV production and site load, then reports the monthly bill across three scenarios: before solar, with solar, and with solar plus battery. A month selector exposes seasonal differences hour by hour.
- Targeted self-consumption rate as the sizing input
- Three-scenario monthly bill comparison
- Daily energy usage chart with month selector
- Production, consumption, and state-of-charge in one view
Backup hours and off-grid autonomy modeled with critical loads
Backup mode sizes from minimum backup hours, critical load percentage, and backup reserve rate. Autonomy mode sizes for off-grid or zero-injection systems against a target autonomy percentage. Backup duration and usable backup capacity report solar contribution explicitly.
- Self Consumption, Backup, and Autonomy as discrete operating modes
- Critical load % and backup reserve rate as backup inputs
- Backup hours include solar contribution explicitly
- Off-grid and zero-injection systems supported by autonomy mode
Auto-sized or manually picked, compared side by side
Take the auto-calculated capacity or override with a specific battery model from the product database. Compare candidate batteries against the same load and PV profile before applying the configuration, so the proposal carries the model you actually selected.
- Auto-sized capacity from your operating-mode targets
- Manual model selection from the product database
- Side-by-side compare before applying
- Selected model flows into the proposal and Bill of Materials
Questions about battery modeling
Pick one of three operating modes: Self Consumption (target self-consumption %), Backup (minimum backup hours plus critical load %), or Autonomy (target autonomy % for off-grid). The engine runs an hourly simulation against PV production and consumption to calculate the required capacity, which you can accept or override with a specific battery model from the product database.
