Solar and Storage Optimization for Energy Planning

The challenge

Designing solar and storage systems involves trade-offs that are difficult to assess manually. Teams need to compare different configurations in terms of sizing, technical performance and economic return, but the number of variables quickly makes the process slow, uncertain and difficult to optimize.

What we built

We developed a system that combines energy simulation with optimization algorithms to evaluate solar and battery configurations under different assumptions. It helps compare design options more systematically and supports better decisions across technical sizing, performance and project economics.

What changed

This approach makes solar and storage planning more rigorous, faster and easier to apply in practice. Instead of relying on rough estimates or disconnected calculations, teams can compare configurations through a structured workflow that supports better technical and financial decisions.

If you need an independent business case before committing to a BESS investment, see our BESS Economic Viability Study.