Capacity testing is a critical acceptance procedure for photovoltaic (PV) projects, often required for key completion milestones. However, common testing methods, which rely on regression analysis of stable and linear data, can be hindered by challenging weather conditions in the winter and complex system designs. This makes it difficult to obtain sufficient valid data within the required timeframe. Various strategies are employed to address these challenges, ensuring that accurate results are still achievable. This study will explore different strategies and limitations to overcome weather-related restrictions in capacity testing, highlighting methods to ensure reliable results despite environmental constraints.
15 May 2025 .
Recommendations and limitations for winter PV capacity tests
