A case study on the shading ratio for an Agrivoltaics system

Agrivoltaics, the dual use of land for electricity generation and agricultural production, is a promising solution to a future sustainable world. This study examines the effects of the panels’ installation height and distance between each row of panels on reduced solar exposure of the ground caused by photovoltaic panel installation in a US Midwest region. The results show a decrease in shading caused by increasing row distance. Further, mounting elevation is shown not to have a statistically significant impact on shading. Moreover, statistical analysis revealed linear correlations to estimate the shading ratio based on the row spacing. The findings can help the agricultural sector select crops effectively for agrivoltaics systems based on crop solar exposure needs. Lastly, the effect of varying row spacing was investigated on the annual electricity generated, where a reduction of 58.4% is observed between the smallest and largest row spacing values.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905522
Primary Topic
Photovoltaic Systems and Sustainability
Type
article
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article

A case study on the shading ratio for an Agrivoltaics system

Mehrdad Poursadegh, Mahmoud Alahmad, Joshua Sabata, Bentley Tonniges et al.
Photovoltaic Systems and Sustainability
article

A case study on the shading ratio for an Agrivoltaics system

Mehrdad Poursadegh, Mahmoud Alahmad, Joshua Sabata, Bentley Tonniges, Mohannad Alkhalil
article en

Abstract

Agrivoltaics, the dual use of land for electricity generation and agricultural production, is a promising solution to a future sustainable world. This study examines the effects of the panels’ installation height and distance between each row of panels on reduced solar exposure of the ground caused by photovoltaic panel installation in a US Midwest region. The results show a decrease in shading caused by increasing row distance. Further, mounting elevation is shown not to have a statistically significant impact on shading. Moreover, statistical analysis revealed linear correlations to estimate the shading ratio based on the row spacing. The findings can help the agricultural sector select crops effectively for agrivoltaics systems based on crop solar exposure needs. Lastly, the effect of varying row spacing was investigated on the annual electricity generated, where a reduction of 58.4% is observed between the smallest and largest row spacing values.

University of Nebraska–Lincoln (US)
Openalex Percentile: Top 76%
Photovoltaic Systems and Sustainability
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