Simulation Tool for Home Battery Impact Analysis
February 2025 - May 2025
Development of a high-resolution simulation environment to quantify the financial and technical impact of adding a home battery to an existing solar installation.
This project involved the creation of a physically accurate and economically optimized simulation engine to evaluate household-level energy flows with and without a home battery. The simulator combines quarter-hourly measured production and consumption data, battery dynamics (C-rate, CC–CV charging, efficiency losses), and dynamic energy tariffs to estimate the effects on self-consumption, grid interaction, and total energy costs. The simulation engine forms the analytical foundation for Wocozon’s future battery propositions.
My Contribution
- Architecture and technical design
- Implementation of the simulation engine in Python
- Data ingestion and cleaning pipeline
External Links
Highlights
- Time-series simulation of PV, battery, and grid interaction on a 15-minute basis
- Dynamic programming optimization for “perfect knowledge” battery control
- Physically constrained battery model including C-rate, round-trip efficiency, and CC–CV charging
- Integration with real measured data and energy pricing
Users
- Wocozon management and strategy team
- Financial analysts
- Data analysts
- Customer service (a simplified interface for a quick benefit analysis while discussing the battery proposition with clients)
Technology Stack
algorithmsPythonPandasNumPyTimescaleDBJupyter