Cargando…
Modelling photovoltaic soiling losses through optical characterization
The accumulation of soiling on photovoltaic (PV) modules affects PV systems worldwide. Soiling consists of mineral dust, soot particles, aerosols, pollen, fungi and/or other contaminants that deposit on the surface of PV modules. Soiling absorbs, scatters, and reflects a fraction of the incoming sun...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952442/ https://www.ncbi.nlm.nih.gov/pubmed/31919401 http://dx.doi.org/10.1038/s41598-019-56868-z |
_version_ | 1783486450614927360 |
---|---|
author | Smestad, Greg P. Germer, Thomas A. Alrashidi, Hameed Fernández, Eduardo F. Dey, Sumon Brahma, Honey Sarmah, Nabin Ghosh, Aritra Sellami, Nazmi Hassan, Ibrahim A. I. Desouky, Mai Kasry, Amal Pesala, Bala Sundaram, Senthilarasu Almonacid, Florencia Reddy, K. S. Mallick, Tapas K. Micheli, Leonardo |
author_facet | Smestad, Greg P. Germer, Thomas A. Alrashidi, Hameed Fernández, Eduardo F. Dey, Sumon Brahma, Honey Sarmah, Nabin Ghosh, Aritra Sellami, Nazmi Hassan, Ibrahim A. I. Desouky, Mai Kasry, Amal Pesala, Bala Sundaram, Senthilarasu Almonacid, Florencia Reddy, K. S. Mallick, Tapas K. Micheli, Leonardo |
author_sort | Smestad, Greg P. |
collection | PubMed |
description | The accumulation of soiling on photovoltaic (PV) modules affects PV systems worldwide. Soiling consists of mineral dust, soot particles, aerosols, pollen, fungi and/or other contaminants that deposit on the surface of PV modules. Soiling absorbs, scatters, and reflects a fraction of the incoming sunlight, reducing the intensity that reaches the active part of the solar cell. Here, we report on the comparison of naturally accumulated soiling on coupons of PV glass soiled at seven locations worldwide. The spectral hemispherical transmittance was measured. It was found that natural soiling disproportionately impacts the blue and ultraviolet (UV) portions of the spectrum compared to the visible and infrared (IR). Also, the general shape of the transmittance spectra was similar at all the studied sites and could adequately be described by a modified form of the Ångström turbidity equation. In addition, the distribution of particles sizes was found to follow the IEST-STD-CC 1246E cleanliness standard. The fractional coverage of the glass surface by particles could be determined directly or indirectly and, as expected, has a linear correlation with the transmittance. It thus becomes feasible to estimate the optical consequences of the soiling of PV modules from the particle size distribution and the cleanliness value. |
format | Online Article Text |
id | pubmed-6952442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69524422020-01-13 Modelling photovoltaic soiling losses through optical characterization Smestad, Greg P. Germer, Thomas A. Alrashidi, Hameed Fernández, Eduardo F. Dey, Sumon Brahma, Honey Sarmah, Nabin Ghosh, Aritra Sellami, Nazmi Hassan, Ibrahim A. I. Desouky, Mai Kasry, Amal Pesala, Bala Sundaram, Senthilarasu Almonacid, Florencia Reddy, K. S. Mallick, Tapas K. Micheli, Leonardo Sci Rep Article The accumulation of soiling on photovoltaic (PV) modules affects PV systems worldwide. Soiling consists of mineral dust, soot particles, aerosols, pollen, fungi and/or other contaminants that deposit on the surface of PV modules. Soiling absorbs, scatters, and reflects a fraction of the incoming sunlight, reducing the intensity that reaches the active part of the solar cell. Here, we report on the comparison of naturally accumulated soiling on coupons of PV glass soiled at seven locations worldwide. The spectral hemispherical transmittance was measured. It was found that natural soiling disproportionately impacts the blue and ultraviolet (UV) portions of the spectrum compared to the visible and infrared (IR). Also, the general shape of the transmittance spectra was similar at all the studied sites and could adequately be described by a modified form of the Ångström turbidity equation. In addition, the distribution of particles sizes was found to follow the IEST-STD-CC 1246E cleanliness standard. The fractional coverage of the glass surface by particles could be determined directly or indirectly and, as expected, has a linear correlation with the transmittance. It thus becomes feasible to estimate the optical consequences of the soiling of PV modules from the particle size distribution and the cleanliness value. Nature Publishing Group UK 2020-01-09 /pmc/articles/PMC6952442/ /pubmed/31919401 http://dx.doi.org/10.1038/s41598-019-56868-z Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Smestad, Greg P. Germer, Thomas A. Alrashidi, Hameed Fernández, Eduardo F. Dey, Sumon Brahma, Honey Sarmah, Nabin Ghosh, Aritra Sellami, Nazmi Hassan, Ibrahim A. I. Desouky, Mai Kasry, Amal Pesala, Bala Sundaram, Senthilarasu Almonacid, Florencia Reddy, K. S. Mallick, Tapas K. Micheli, Leonardo Modelling photovoltaic soiling losses through optical characterization |
title | Modelling photovoltaic soiling losses through optical characterization |
title_full | Modelling photovoltaic soiling losses through optical characterization |
title_fullStr | Modelling photovoltaic soiling losses through optical characterization |
title_full_unstemmed | Modelling photovoltaic soiling losses through optical characterization |
title_short | Modelling photovoltaic soiling losses through optical characterization |
title_sort | modelling photovoltaic soiling losses through optical characterization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952442/ https://www.ncbi.nlm.nih.gov/pubmed/31919401 http://dx.doi.org/10.1038/s41598-019-56868-z |
work_keys_str_mv | AT smestadgregp modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT germerthomasa modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT alrashidihameed modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT fernandezeduardof modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT deysumon modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT brahmahoney modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT sarmahnabin modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT ghosharitra modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT sellaminazmi modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT hassanibrahimai modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT desoukymai modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT kasryamal modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT pesalabala modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT sundaramsenthilarasu modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT almonacidflorencia modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT reddyks modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT mallicktapask modellingphotovoltaicsoilinglossesthroughopticalcharacterization AT michelileonardo modellingphotovoltaicsoilinglossesthroughopticalcharacterization |