DeepBluSky Models Light, Shade, Infrared Radiation, Convection to Predict Electric and Crop Yields and Water Consumption

E. Rafael Martinez; Fabian Gross; Sebastian Gayler; Florian Späth; Tobias Weber

doi:10.52825/agripv.v4i.2848

Authors

E. Rafael Martinez sbp sonne gmbh https://orcid.org/0009-0006-4021-6174
Fabian Gross sbp sonne gmbh
Sebastian Gayler University of Hohenheim https://orcid.org/0000-0002-8577-6486
Florian Späth University of Hohenheim
Tobias Weber University of Kassel

DOI:

https://doi.org/10.52825/agripv.v4i.2848

Keywords:

Agrivoltaics, Thermal Energy Balance, Water Management, Simulation, Expert-N

Abstract

Agrivoltaic (AV) systems present a promising solution for Dual Land-Use, combining solar energy conversion into Electricity with Agriculture. However, optimizing these systems requires a deep understanding of the complex interactions between Photovoltaic (PV) Modules, Crops, and the Microclimate. This study presents a Multi-Physics Modeling approach for AV systems that explicitly couples Shortwave/Longwave Radiation, Convective Heat-Transfer and Water-Transport. We demonstrate the model's capabilities by simulating various AV configurations, highlighting the trade-off between PV power output and agricultural yield. Furthermore, our results show that shading from PV modules can lead to temperature reductions on the crop-soil canopy, potentially inducing water savings through reduced Evapotranspiration. The model undergoes a preliminary validation against field irradiance measurements, demonstrating its potential as a robust Tool for informed Decision-Making in AV system design and farm management to mitigate risks and maximize overall land productivity.

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DeepBluSky Models Light, Shade, Infrared Radiation, Convection to Predict Electric and Crop Yields and Water Consumption

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