Light-simulation tools—exemplified by Radiance—are widely used for quantitative daylight studies and are increasingly adopted in agrivoltaics (agri-PV) to handle complex geometry via ray tracing. Yet, beyond typical workflows three practical limitations persist: spectrally resolved skies are restricted to the visible band; soft-shadow (penumbra) rendering relies on runtime-intensive solar-disk sampling; and fast, integrated canopy models remain scarce. We present a Radiance-compatible Python framework that adds: (i) atmosphere-specific sun–sky generation across the solar spectrum; (ii) efficient, equal-area sampling of the solar disk; and (iii) a simple canopy reconstruction tailored to narrow-trained orchards. To improve spectral fidelity, resolution, and range, we couple SMARTS-derived spectra to a Perez-based sky, leveraging Radiance's multispectral rendering. We deterministically sample the sun's finite extent using a Fibonacci lattice, yielding stable penumbra without prohibitive runtimes. The canopy model parameterizes porosity and seasonal development at a daily rate. Canopy representation matters: opaque–static models, common in agri-PV simulations, systematically underestimate light levels and miss spatiotemporal patterns needed to diagnose suboptimal conditions. Comparatively, a porous–dynamic model led to ≈26% higher seasonal light levels, with gains attaining ≈100% early in the season and converging to ≈16% after foliage matured. While penumbra is limited under conventional PV modules, penumbra-capable renderings enable exploration of design pathways—narrower cell layouts (half-cell and beyond) with greater module–canopy separation—that smooth lighting extremes. ... Read more

To safeguard future renewable energy and food supply the use of agrophotovoltaic (APV) systems was investigated, which enable simultaneous production under the same piece of land. As conventional photovoltaic (PV) array topologies lead to unfavourable conditions for crop growth, the application of APV is limited to areas with high solar insolation. By optimizing the APV array’s design, compatibility with various climates and crop species can be attained. Therefore, the aim of this research was to establish a multi-scale modelling approach and determine the optimal topology for a medium-to-large-scale fixed bifacial APV array. Three main topologies were analyzed under the climate of Boston, USA: S-N facing, E-W wings, and E-W vertical. For each topology, respectively, specific yield was amplified by 39%, 18%, and 13% in comparison to a conventional monofacial ground mounted PV array. E-W vertical is more appropriate for permanent crop species, while S-N facing necessitates the cultivation of shade tolerant crops during summer as electricity generation is prioritized. The E-W wings APV topology combines the best of both; light is distributed homogeneously, and crops are effectively shaded at noon. To promote the growth rate of blueberries under shade, customized bifacial modules were integrated (arranged as the E-W wings). Land productivity enhanced by 50%, whereas electrical AC yield reduced by 33% relative to the conventional and separate production. Through this holistic approach, it is possible to achieve a comprehensive understanding of the limitations and potential synergies associated with the dual use of land; ultimately, encouraging the transition of the agricultural sector into sustainability. ... Read more