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Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide

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dc.contributor.author Kinsey, GS
dc.contributor.author Riedel-Lyngskær, NC
dc.contributor.author Miguel, A
dc.contributor.author Boyd, M
dc.contributor.author Braga, M
dc.contributor.author Shou, C
dc.contributor.author Cordero, RR
dc.contributor.author Duck, BC
dc.contributor.author Maweza, Elijah L
dc.contributor.author Pratt, Lawrence E
dc.date.accessioned 2022-09-05T06:48:22Z
dc.date.available 2022-09-05T06:48:22Z
dc.date.issued 2022-08
dc.identifier.citation Kinsey, G., Riedel-Lyngskær, N., Miguel, A., Boyd, M., Braga, M., Shou, C., Cordero, R. & Duck, B. et al. 2022. Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide. <i>Renewable Energy, 196.</i> http://hdl.handle.net/10204/12488 en_ZA
dc.identifier.issn 1879-0682
dc.identifier.issn 0960-1481
dc.identifier.uri https://doi.org/10.1016/j.renene.2022.07.011
dc.identifier.uri http://hdl.handle.net/10204/12488
dc.description.abstract In photovoltaic power ratings, a single solar spectrum, AM1.5, is the de facto standard for record laboratory efficiencies, commercial module specifications, and performance ratios of solar power plants. More detailed energy analysis that accounts for local spectral irradiance, along with temperature and broadband irradiance, reduces forecast errors to expand the grid utility of solar energy. Here, ground-level measurements of spectral irradiance collected worldwide have been pooled to provide a sampling of geographic, seasonal, and diurnal variation. Applied to nine solar cell types, the resulting divergence in solar cell efficiencies illustrates that a single spectrum is insufficient for comparisons of cells with different spectral responses. Cells with two or more junctions tend to have efficiencies below that under the standard spectrum. Silicon exhibits the least spectral sensitivity: relative weekly site variation ranges from 1% in Lima, Peru to 14% in Edmonton, Canada. en_US
dc.format Abstract en_US
dc.language.iso en en_US
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0960148122010072 en_US
dc.source Renewable Energy, 196 en_US
dc.subject Energy yield en_US
dc.subject Forecasting en_US
dc.subject Photovoltaics en_US
dc.subject Spectral irradiance en_US
dc.title Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide en_US
dc.type Article en_US
dc.description.pages 995-1016 en_US
dc.description.note © 2022 Elsevier Ltd. All rights reserved. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://www.sciencedirect.com/science/article/pii/S0960148122010072 en_US
dc.description.cluster Smart Places en_US
dc.description.impactarea Energy Supply and Demand en_US
dc.identifier.apacitation Kinsey, G., Riedel-Lyngskær, N., Miguel, A., Boyd, M., Braga, M., Shou, C., ... Pratt, L. E. (2022). Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide. <i>Renewable Energy, 196</i>, http://hdl.handle.net/10204/12488 en_ZA
dc.identifier.chicagocitation Kinsey, GS, NC Riedel-Lyngskær, A Miguel, M Boyd, M Braga, C Shou, RR Cordero, BC Duck, Elijah L Maweza, and Lawrence E Pratt "Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide." <i>Renewable Energy, 196</i> (2022) http://hdl.handle.net/10204/12488 en_ZA
dc.identifier.vancouvercitation Kinsey G, Riedel-Lyngskær N, Miguel A, Boyd M, Braga M, Shou C, et al. Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide. Renewable Energy, 196. 2022; http://hdl.handle.net/10204/12488. en_ZA
dc.identifier.ris TY - Article AU - Kinsey, GS AU - Riedel-Lyngskær, NC AU - Miguel, A AU - Boyd, M AU - Braga, M AU - Shou, C AU - Cordero, RR AU - Duck, BC AU - Maweza, Elijah L AU - Pratt, Lawrence E AB - In photovoltaic power ratings, a single solar spectrum, AM1.5, is the de facto standard for record laboratory efficiencies, commercial module specifications, and performance ratios of solar power plants. More detailed energy analysis that accounts for local spectral irradiance, along with temperature and broadband irradiance, reduces forecast errors to expand the grid utility of solar energy. Here, ground-level measurements of spectral irradiance collected worldwide have been pooled to provide a sampling of geographic, seasonal, and diurnal variation. Applied to nine solar cell types, the resulting divergence in solar cell efficiencies illustrates that a single spectrum is insufficient for comparisons of cells with different spectral responses. Cells with two or more junctions tend to have efficiencies below that under the standard spectrum. Silicon exhibits the least spectral sensitivity: relative weekly site variation ranges from 1% in Lima, Peru to 14% in Edmonton, Canada. DA - 2022-08 DB - ResearchSpace DP - CSIR J1 - Renewable Energy, 196 KW - Energy yield KW - Forecasting KW - Photovoltaics KW - Spectral irradiance LK - https://researchspace.csir.co.za PY - 2022 SM - 1879-0682 SM - 0960-1481 T1 - Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide TI - Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide UR - http://hdl.handle.net/10204/12488 ER - en_ZA
dc.identifier.worklist 25983 en_US


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