Model Household Demand
Segment base load, seasonal load, and flexible load. This reveals which demand can be shifted to lower-cost periods.
Solar battery and EV charging economics depend on consumption patterns and utility pricing, not installer defaults. This guide shows how to size systems with a data-first approach.
The core sizing problem is matching production, storage, and charging behavior to your demand profile. Oversized systems can delay payback, while undersized systems fail to reduce high-cost peak usage.
Segment base load, seasonal load, and flexible load. This reveals which demand can be shifted to lower-cost periods.
Time-of-use rates, demand charges, and export credits materially change battery value. Financial models must use your actual tariff, not generic assumptions.
Map when charging can realistically happen and align storage strategy around those windows. This prevents mismatch between theoretical and practical savings.
Good planning produces a range of outcomes under conservative, expected, and optimistic scenarios. The target is a system you can defend financially, not just one that looks good in a sales proposal.
Our solar ROI service builds scenario-based recommendations for battery, panel, and EV charging sizing.
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