Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide
Kinsey, Geoffrey S.; Riedel-Lyngskær, Nicholas C.; Miguel, Alonso Abella; Boyd, Matthew; Braga, Marília; Shou, Chunhui; Cordero, Raul R.; Duck, Benjamin C.; Fell, Christopher J.; Feron, Sarah; Georghiou, George E.; Habryl, Nicholas; John, Jim J.; Ketjoy, Nipon; López, Gabriel; Louwen, Atse; Maweza, Elijah Loyiso; Minemoto, Takashi; Mittal, Ankit; Molto, Cécile; Neves, Guilherme; Garrido, Gustavo Nofuentes; Norton, Matthew; Paudyal, Basant R.; Pereira, Enio Bueno; Poissant, Yves; Pratt, Lawrence; Shen, Qu; Reindl, Thomas; Rennhofer, Marcus; Rodríguez-Gallegos, Carlos D.; Rüther, Ricardo; van Sark, Wilfried; Sevillano-Bendezú, Miguel A.; Seigneur, Hubert; Tejero, Jorge A.; Theristis, Marios; Töfflinger, Jan A.; Ulbrich, Carolin; Vilela, Waldeir Amaral; Xia, Xiangao; Yamasoe, Márcia A.
(2022) Renewable Energy, volume 196, pp. 995 - 1016
(Article)
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
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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.
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Keywords: Energy yield, Forecasting, Photovoltaics, Spectral irradiance, Taverne, Renewable Energy, Sustainability and the Environment
ISSN: 0960-1481
Publisher: Elsevier BV
Note: Funding Information: Data from Ispra, Italy (Matthew Norton, Ana Gracia Amillo, Roberto Galleano) was supported by the Joint Research Centre of the European Commission . Funding Information: J. A. Töfflinger and M. A. Sevillano-Bendezú acknowledge the financial support by the Peruvian CONCYTEC PROCIENCIA through Contract 013-2020-FONDECYT-BM . Funding Information: M. Braga and R. Rüther acknowledge financial support of the Brazilian Electricity Regulatory Agency – ANEEL through the ANEEL R&D Program . Funding Information: The authors are grateful for the spectral irradiance data provided online: by the U.S. Department of Energy via the Atmospheric Radiation Measurement (ARM) user facility, the National Renewable Energy Laboratory (NREL), and Sandia National Laboratories; the University of Oregon; and the National Institute of Standards and Technology (NIST). Funding Information: Data from Huelva, Spain (Gabriel López) was supported by the Spanish Ministry of Economy, Industry, and Competitiveness “PVCastSOIL” project No ENE2017-83790-C3-1-2-3-R, in collaboration with the European Regional Development Fund. Funding Information: SERIS is a research institute at the National University of Singapore (NUS). SERIS is supported by NUS, the National Research Foundation Singapore (NRF) , the Energy Market Authority of Singapore (EMA) and the Singapore Economic Development Board (EDB) . Funding Information: Data from Kusatu, Japan (Takashi Minemoto) was supported by the New Energy and Industrial Technology Development Organization (NEDO) , Japan. Publisher Copyright: © 2022 Elsevier Ltd
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