Researchers at Delft University of Technology have developed a Python framework to improve light-simulation workflows for agrivoltaics, focusing on realistic representations of atmospheric conditions and crop geometry. This advancement enhances predictions for crop yield and solar energy production in shared land-use systems, reducing design uncertainty and supporting sustainable food-energy integration. The framework includes site-specific sun and sky spectra across the entire solar spectrum, rendering soft shadows efficiently for crops under semi-transparent PV modules. A new model for agrivoltaic orchards was also developed to optimize sunlight penetration for both crops and solar panels, resulting in a 16% increase in energy production compared to traditional setups. This research, published in the journal Applied Energy, highlights the importance of accurate canopy representation for optimizing light levels and mitigating suboptimal conditions in agrivoltaic systems.
https://www.pv-magazine.com/2026/06/23/penumbra-aware-irradiance-modeling-for-agrivoltaic-orchards/