Comprehensive Analysis of Spectral Mismatch Factor for Solar Cells Based on In Situ Observation of Aerosol Optical Depth Spectra and Solar Spectral Irradiance in Korea
The spectral mismatch factor for solar cells quantifies their relative performance in converting solar irradiance between the incident and reference solar spectra into electricity. This study attempted to evaluate the spectral mismatch factor for eight types of solar cells and investigate their sens...
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description | The spectral mismatch factor for solar cells quantifies their relative performance in converting solar irradiance between the incident and reference solar spectra into electricity. This study attempted to evaluate the spectral mismatch factor for eight types of solar cells and investigate their sensitivity to changes in the solar spectral irradiance, which is dependent on the aerosol optical properties in a clear sky. Copper indium gallium diselenide cells have the highest mean value of the spectral mismatch factor, implying that they are less sensitive to changes in the solar spectral irradiance. In contrast, perovskite and amorphous silicon cells are more sensitive to atmospheric conditions, with broader distributions of the spectral mismatch factor values. Additionally, our study found that heterojunction with intrinsic thin-layer cells has the highest substantial efficiency, considering the nameplate efficiency. The spectral mismatch factor decreased with increasing aerosol optical depth at 500 nm and was proportional to the humidity. The effects of aerosol optical properties on the spectral mismatch factor for different solar cells were clarified using clustering analysis and back-trajectory modeling results. In the present study, the aerosol optical depth spectra were found to be more important in determining the spectral mismatch factor than the aerosol optical depth at 500 nm. This study recommends further research on the relationship between the aerosol optical properties and solar spectral irradiance to better predict or estimate the spectral mismatch factor in solar power forecasting. |
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This study attempted to evaluate the spectral mismatch factor for eight types of solar cells and investigate their sensitivity to changes in the solar spectral irradiance, which is dependent on the aerosol optical properties in a clear sky. Copper indium gallium diselenide cells have the highest mean value of the spectral mismatch factor, implying that they are less sensitive to changes in the solar spectral irradiance. In contrast, perovskite and amorphous silicon cells are more sensitive to atmospheric conditions, with broader distributions of the spectral mismatch factor values. Additionally, our study found that heterojunction with intrinsic thin-layer cells has the highest substantial efficiency, considering the nameplate efficiency. The spectral mismatch factor decreased with increasing aerosol optical depth at 500 nm and was proportional to the humidity. The effects of aerosol optical properties on the spectral mismatch factor for different solar cells were clarified using clustering analysis and back-trajectory modeling results. In the present study, the aerosol optical depth spectra were found to be more important in determining the spectral mismatch factor than the aerosol optical depth at 500 nm. This study recommends further research on the relationship between the aerosol optical properties and solar spectral irradiance to better predict or estimate the spectral mismatch factor in solar power forecasting.</description><identifier>ISSN: 0363-907X</identifier><identifier>EISSN: 1099-114X</identifier><identifier>DOI: 10.1155/2023/2617427</identifier><language>eng</language><publisher>Bognor Regis: Hindawi</publisher><subject>Aerosols ; Amorphous silicon ; Atmospheric conditions ; Cadmium telluride ; Cluster analysis ; Clustering ; Depth ; Efficiency ; Electricity distribution ; Gallium ; Ground stations ; Heterojunctions ; Indium ; Irradiance ; Optical analysis ; Optical properties ; Optical thickness ; Outdoor air quality ; Perovskites ; Photovoltaic cells ; Silicon ; Solar cells ; Solar energy ; Solar power ; Solar spectra ; Spectra ; Trajectory analysis</subject><ispartof>International journal of energy research, 2023-08, Vol.2023, p.1-16</ispartof><rights>Copyright © 2023 Chang Ki Kim et al.</rights><rights>Copyright © 2023 Chang Ki Kim et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c294t-b975a899f315e26f7f6856dc8713e31d972cb419d1a92ae7e6707b3e59dbece3</cites><orcidid>0000-0003-4985-4157</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2860177571/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2860177571?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,877,21388,27924,27925,33744,43805,64385,64389,72469,74302</link.rule.ids></links><search><contributor>Parale, Vinayak</contributor><contributor>Vinayak Parale</contributor><creatorcontrib>Kim, Chang Ki</creatorcontrib><creatorcontrib>Kim, Hyun-Goo</creatorcontrib><creatorcontrib>Kang, Yong-Heack</creatorcontrib><creatorcontrib>Oh, Myeongchan</creatorcontrib><title>Comprehensive Analysis of Spectral Mismatch Factor for Solar Cells Based on In Situ Observation of Aerosol Optical Depth Spectra and Solar Spectral Irradiance in Korea</title><title>International journal of energy research</title><description>The spectral mismatch factor for solar cells quantifies their relative performance in converting solar irradiance between the incident and reference solar spectra into electricity. This study attempted to evaluate the spectral mismatch factor for eight types of solar cells and investigate their sensitivity to changes in the solar spectral irradiance, which is dependent on the aerosol optical properties in a clear sky. Copper indium gallium diselenide cells have the highest mean value of the spectral mismatch factor, implying that they are less sensitive to changes in the solar spectral irradiance. In contrast, perovskite and amorphous silicon cells are more sensitive to atmospheric conditions, with broader distributions of the spectral mismatch factor values. Additionally, our study found that heterojunction with intrinsic thin-layer cells has the highest substantial efficiency, considering the nameplate efficiency. The spectral mismatch factor decreased with increasing aerosol optical depth at 500 nm and was proportional to the humidity. The effects of aerosol optical properties on the spectral mismatch factor for different solar cells were clarified using clustering analysis and back-trajectory modeling results. In the present study, the aerosol optical depth spectra were found to be more important in determining the spectral mismatch factor than the aerosol optical depth at 500 nm. This study recommends further research on the relationship between the aerosol optical properties and solar spectral irradiance to better predict or estimate the spectral mismatch factor in solar power forecasting.</description><subject>Aerosols</subject><subject>Amorphous silicon</subject><subject>Atmospheric conditions</subject><subject>Cadmium telluride</subject><subject>Cluster analysis</subject><subject>Clustering</subject><subject>Depth</subject><subject>Efficiency</subject><subject>Electricity distribution</subject><subject>Gallium</subject><subject>Ground stations</subject><subject>Heterojunctions</subject><subject>Indium</subject><subject>Irradiance</subject><subject>Optical analysis</subject><subject>Optical properties</subject><subject>Optical thickness</subject><subject>Outdoor air quality</subject><subject>Perovskites</subject><subject>Photovoltaic cells</subject><subject>Silicon</subject><subject>Solar cells</subject><subject>Solar energy</subject><subject>Solar 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Analysis of Spectral Mismatch Factor for Solar Cells Based on In Situ Observation of Aerosol Optical Depth Spectra and Solar Spectral Irradiance in Korea</title><author>Kim, Chang Ki ; Kim, Hyun-Goo ; Kang, Yong-Heack ; Oh, Myeongchan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c294t-b975a899f315e26f7f6856dc8713e31d972cb419d1a92ae7e6707b3e59dbece3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aerosols</topic><topic>Amorphous silicon</topic><topic>Atmospheric conditions</topic><topic>Cadmium telluride</topic><topic>Cluster analysis</topic><topic>Clustering</topic><topic>Depth</topic><topic>Efficiency</topic><topic>Electricity distribution</topic><topic>Gallium</topic><topic>Ground stations</topic><topic>Heterojunctions</topic><topic>Indium</topic><topic>Irradiance</topic><topic>Optical analysis</topic><topic>Optical properties</topic><topic>Optical thickness</topic><topic>Outdoor air quality</topic><topic>Perovskites</topic><topic>Photovoltaic cells</topic><topic>Silicon</topic><topic>Solar cells</topic><topic>Solar energy</topic><topic>Solar power</topic><topic>Solar spectra</topic><topic>Spectra</topic><topic>Trajectory analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Chang Ki</creatorcontrib><creatorcontrib>Kim, Hyun-Goo</creatorcontrib><creatorcontrib>Kang, Yong-Heack</creatorcontrib><creatorcontrib>Oh, Myeongchan</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Oceanic 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research</jtitle><date>2023-08-25</date><risdate>2023</risdate><volume>2023</volume><spage>1</spage><epage>16</epage><pages>1-16</pages><issn>0363-907X</issn><eissn>1099-114X</eissn><abstract>The spectral mismatch factor for solar cells quantifies their relative performance in converting solar irradiance between the incident and reference solar spectra into electricity. This study attempted to evaluate the spectral mismatch factor for eight types of solar cells and investigate their sensitivity to changes in the solar spectral irradiance, which is dependent on the aerosol optical properties in a clear sky. Copper indium gallium diselenide cells have the highest mean value of the spectral mismatch factor, implying that they are less sensitive to changes in the solar spectral irradiance. In contrast, perovskite and amorphous silicon cells are more sensitive to atmospheric conditions, with broader distributions of the spectral mismatch factor values. Additionally, our study found that heterojunction with intrinsic thin-layer cells has the highest substantial efficiency, considering the nameplate efficiency. The spectral mismatch factor decreased with increasing aerosol optical depth at 500 nm and was proportional to the humidity. The effects of aerosol optical properties on the spectral mismatch factor for different solar cells were clarified using clustering analysis and back-trajectory modeling results. In the present study, the aerosol optical depth spectra were found to be more important in determining the spectral mismatch factor than the aerosol optical depth at 500 nm. This study recommends further research on the relationship between the aerosol optical properties and solar spectral irradiance to better predict or estimate the spectral mismatch factor in solar power forecasting.</abstract><cop>Bognor Regis</cop><pub>Hindawi</pub><doi>10.1155/2023/2617427</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-4985-4157</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aerosols Amorphous silicon Atmospheric conditions Cadmium telluride Cluster analysis Clustering Depth Efficiency Electricity distribution Gallium Ground stations Heterojunctions Indium Irradiance Optical analysis Optical properties Optical thickness Outdoor air quality Perovskites Photovoltaic cells Silicon Solar cells Solar energy Solar power Solar spectra Spectra Trajectory analysis |
title | Comprehensive Analysis of Spectral Mismatch Factor for Solar Cells Based on In Situ Observation of Aerosol Optical Depth Spectra and Solar Spectral Irradiance in Korea |
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