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Fast Ground Irradiance Computations for Agrivoltaics via Physics-Informed Deep Learning Models

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Fast_Ground_Irradiance_Computations_for_Agrivoltaics_via_Physics-Informed_Deep_Learning_Models/27004783
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资源简介:
The dataset consists of three main parts. 1) Geometry.zip contains top-view images of a PV plant (4 rows, 40 modules each) with a variation of the tilt angle. The top-view images reveal the geometry of the PV plant including the tilt angle. 2) weather_header.epw is a wetaher file (TMY format) with selected weather parameters, as result of a special sampling strategy. 3) raytracer_simulations.zip contains ground irradiance maps simulated using Radiance, for given weather and geometrical parameters. The file name of each simulation reveal the tilt angle and the index number, which is used to follow on the weather information in the given weather file.
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2025-08-27
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