PVRADAR Labs develops PVRADAR, a Python-based framework for advanced PV modeling that gives you full control over models and data.

The framework combines pvlib-based modeling, specialized libraries (soiling, BESS), and a unified data layer that integrates public and internal datasets, all executed locally for maximum transparency and data privacy.

Based on the framework, we provide solutions for underperformance analytics, internal tool development, and automated PV + BESS design optimization.

We are also the creators of one of the most accurate soiling models on the market, validated across diverse climates and delivering 35% lower error compared to standard pvlib approaches. Our Soiling & Cleaning App enables developers and asset managers to estimate site-specific daily or monthly soiling losses, optimize cleaning strategies, and generate stakeholder-ready reports.

PVRADAR

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