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Agrivoltaics: Modeling the relative importance of longwave radiation from solar panels
Agrivoltaics, which integrate photovoltaic power production with agriculture in the same plot of land, have the potential to reduce land competition, reduce crop irrigation, and increase solar panel efficiency. To optimize agrivoltaic systems for crop growth, energy pathways must be characterized. W...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616218/ https://www.ncbi.nlm.nih.gov/pubmed/36306286 http://dx.doi.org/10.1371/journal.pone.0273119 |
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author | Shepard, Laurel A. Higgins, Chad W. Proctor, Kyle W. |
author_facet | Shepard, Laurel A. Higgins, Chad W. Proctor, Kyle W. |
author_sort | Shepard, Laurel A. |
collection | PubMed |
description | Agrivoltaics, which integrate photovoltaic power production with agriculture in the same plot of land, have the potential to reduce land competition, reduce crop irrigation, and increase solar panel efficiency. To optimize agrivoltaic systems for crop growth, energy pathways must be characterized. While the solar panels shade the crops, they also emit longwave radiation and partially block the ground from downwelling longwave radiation. A deeper understanding of the spatial variation in incoming energy would enable controlled allocation of energy in the design of agrivoltaic systems. The model also demonstrates that longwave energy should not be neglected when considering a full energy balance on the soil under solar panels. |
format | Online Article Text |
id | pubmed-9616218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-96162182022-10-29 Agrivoltaics: Modeling the relative importance of longwave radiation from solar panels Shepard, Laurel A. Higgins, Chad W. Proctor, Kyle W. PLoS One Research Article Agrivoltaics, which integrate photovoltaic power production with agriculture in the same plot of land, have the potential to reduce land competition, reduce crop irrigation, and increase solar panel efficiency. To optimize agrivoltaic systems for crop growth, energy pathways must be characterized. While the solar panels shade the crops, they also emit longwave radiation and partially block the ground from downwelling longwave radiation. A deeper understanding of the spatial variation in incoming energy would enable controlled allocation of energy in the design of agrivoltaic systems. The model also demonstrates that longwave energy should not be neglected when considering a full energy balance on the soil under solar panels. Public Library of Science 2022-10-28 /pmc/articles/PMC9616218/ /pubmed/36306286 http://dx.doi.org/10.1371/journal.pone.0273119 Text en © 2022 Shepard et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Shepard, Laurel A. Higgins, Chad W. Proctor, Kyle W. Agrivoltaics: Modeling the relative importance of longwave radiation from solar panels |
title | Agrivoltaics: Modeling the relative importance of longwave radiation from solar panels |
title_full | Agrivoltaics: Modeling the relative importance of longwave radiation from solar panels |
title_fullStr | Agrivoltaics: Modeling the relative importance of longwave radiation from solar panels |
title_full_unstemmed | Agrivoltaics: Modeling the relative importance of longwave radiation from solar panels |
title_short | Agrivoltaics: Modeling the relative importance of longwave radiation from solar panels |
title_sort | agrivoltaics: modeling the relative importance of longwave radiation from solar panels |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616218/ https://www.ncbi.nlm.nih.gov/pubmed/36306286 http://dx.doi.org/10.1371/journal.pone.0273119 |
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