Direct and diffuse shading factors modelling for the most representative agrivoltaic system layouts

Agrivoltaic systems are becoming more popular as a critical technology for attaining several sustainable development goals such as affordable and clean energy, zero hunger, clean water and sanitation, and climate action. However, understanding the shading effects on crops is fundamental to choosing...

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Bibliographic Details
Published inarXiv.org
Main Authors Zainali, Sebastian, Silvia Ma Lu, Stridh, Bengt, Avelin, Anders, Amaducci, Stefano, Colauzzi, Michele, Pietro Elia Campana
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 09.08.2022
Subjects
Clean energy
Crop production
Crop yield
Geographical locations
Homogeneity
Layouts
Photosynthetically active radiation
Radiation
Radiation distribution
Reduction
Sanitation
Shading
Sustainable development
Systems design
Tracking
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Summary:Agrivoltaic systems are becoming more popular as a critical technology for attaining several sustainable development goals such as affordable and clean energy, zero hunger, clean water and sanitation, and climate action. However, understanding the shading effects on crops is fundamental to choosing an optimal agrivoltaic system as a wrong choice could lead to severe crop reductions. In this study, fixed vertical, one-axis tracking, and two-axis tracking photovoltaic arrays for agrivoltaic applications are developed to analyse the shading conditions on the ground used for crop production. The models have shown remarkably similar accuracy compared to commercial software such as PVsyst and SketchUp. The developed models will help reduce the crop yield uncertainty under agrivoltaic systems by providing accurate photosynthetically active radiation distribution at the crop level. The distribution was further analysed using a light homogeneity index and calculating the yearly photosynthetically active radiation reduction. The homogeneity and photosynthetically active radiation reduction varied significantly depending on the agrivoltaic system design, from 91% to 95% and 11% to 34%, respectively. To identify the most suitable agrivoltaic system layout dependent on crop and geographical location, it is of fundamental importance to study the effect of shadings with distribution analysis.
ISSN:2331-8422