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Computational prediction of dust deposition on solar panels
This research is concerned with performing computational fluid dynamics (CFD) simulations to investigate the air flow and dust deposition behavior around a ground-mounted solar PV panel. The discrete phase model (DPM) is adopted to model the gas-solid flow. The influence of the wind speed, the dust...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898363/ https://www.ncbi.nlm.nih.gov/pubmed/36109484 http://dx.doi.org/10.1007/s11356-022-22993-y |
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author | Dagher, M. Mekawy Kandil, Hamdy A. |
author_facet | Dagher, M. Mekawy Kandil, Hamdy A. |
author_sort | Dagher, M. Mekawy |
collection | PubMed |
description | This research is concerned with performing computational fluid dynamics (CFD) simulations to investigate the air flow and dust deposition behavior around a ground-mounted solar PV panel. The discrete phase model (DPM) is adopted to model the gas-solid flow. The influence of the wind speed, the dust particle size, and the dust material on the dust deposition rate was investigated based on the environment of Cairo, Egypt. The wind speeds range between 1 and 11.5 m/s with an average of 3.7 m/s. It is found that increasing the wind speed decreases the dust deposition rate. For wind speeds higher than 2 m/s, it is found that increasing the dust particle diameter or the dust density increases the dust deposition rate. For wind speeds lower than 2 m/s, it is found that there is a critical particle size before which increasing the dust density causes dust deposition rate to increase and after which increasing the dust density decreases the dust deposition. The maximum percentage of deposition rate equals 10.8% and occurs for the dolomite dust material at a wind speed of 2 m/s and particles diameter of 150 μm. |
format | Online Article Text |
id | pubmed-9898363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-98983632023-02-05 Computational prediction of dust deposition on solar panels Dagher, M. Mekawy Kandil, Hamdy A. Environ Sci Pollut Res Int Research Article This research is concerned with performing computational fluid dynamics (CFD) simulations to investigate the air flow and dust deposition behavior around a ground-mounted solar PV panel. The discrete phase model (DPM) is adopted to model the gas-solid flow. The influence of the wind speed, the dust particle size, and the dust material on the dust deposition rate was investigated based on the environment of Cairo, Egypt. The wind speeds range between 1 and 11.5 m/s with an average of 3.7 m/s. It is found that increasing the wind speed decreases the dust deposition rate. For wind speeds higher than 2 m/s, it is found that increasing the dust particle diameter or the dust density increases the dust deposition rate. For wind speeds lower than 2 m/s, it is found that there is a critical particle size before which increasing the dust density causes dust deposition rate to increase and after which increasing the dust density decreases the dust deposition. The maximum percentage of deposition rate equals 10.8% and occurs for the dolomite dust material at a wind speed of 2 m/s and particles diameter of 150 μm. Springer Berlin Heidelberg 2022-09-16 2023 /pmc/articles/PMC9898363/ /pubmed/36109484 http://dx.doi.org/10.1007/s11356-022-22993-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Dagher, M. Mekawy Kandil, Hamdy A. Computational prediction of dust deposition on solar panels |
title | Computational prediction of dust deposition on solar panels |
title_full | Computational prediction of dust deposition on solar panels |
title_fullStr | Computational prediction of dust deposition on solar panels |
title_full_unstemmed | Computational prediction of dust deposition on solar panels |
title_short | Computational prediction of dust deposition on solar panels |
title_sort | computational prediction of dust deposition on solar panels |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9898363/ https://www.ncbi.nlm.nih.gov/pubmed/36109484 http://dx.doi.org/10.1007/s11356-022-22993-y |
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