Impact of Measured Spectrum Variation on Solar Photovoltaic Efficiencies Worldwide

Kinsey, Geoffrey S.; Riedel-Lynagskaer, Nicholas C.; Miguel, Alonso-Abella; Boyd, Matthew; Braga, Marilia; Shou, Chunhui; Cordero, Raul R.; Duck, Benjamin C.; Fell, Christopher J.; Feron, Sarah; Georghiou, George E.; Habryl, Nicholas; John, Jim J.; Ketjoy, Nipon; Lopez, Gabriel; Louwen, Atse; Maweza, Elijah Loyiso; Minemoto, Takashi; Mittal, Ankit; Molto, Cecile; Neves, Guilherme; Garrido, Gustavo Nofuentes; Norton, Matthew; Paudyal, Basant R.; Pereira, Enio Bueno; Poissant, Yves; Pratt, Lawrence; Shen, Qu; Reindl, Thomas; Rennhofer, Marcus; Rodriguez-Gallegos, Carlos D.; Ruther, Ricardo; van Sark, Wilfried; Sevillano-Bendezu, Miguel A.; Seigneur, Hubert; Tejero, Jorge A.; Theristis, Marios; Tofflinger, Jan A.; Ulbrich, Carolin; Vilela, Waldeir Amaral; Xia, Xiangao; Yamasoe, Marcia A.

doi:10.1016/j.renene.2022.07.011

Title: Impact of Measured Spectrum Variation on Solar Photovoltaic Efficiencies Worldwide

Journal Article · 14 July 2022 · Renewable Energy

DOI:https://doi.org/10.1016/j.renene.2022.07.011· OSTI ID:1882676

Kinsey, Geoffrey S.; Riedel-Lynagskaer, Nicholas C.; Miguel, Alonso-Abella;

; Braga, Marilia; Shou, Chunhui; Cordero, Raul R.; Duck, Benjamin C.; Fell, Christopher J.; Feron, Sarah; Georghiou, George E.; Habryl, Nicholas; John, Jim J.; Ketjoy, Nipon; Lopez, Gabriel; Louwen, Atse; Maweza, Elijah Loyiso; Minemoto, Takashi; Mittal, Ankit; Molto, Cecile more »

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.

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Research Organization:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 1882676

Report Number(s):: NREL/JA-5700-83771; MainId:84544; UUID:c3d50e1d-9cc0-4681-b677-a92bf2e95a09; MainAdminID:65133

Journal Information:: Renewable Energy, Vol. 196

Country of Publication:: United States

Language:: English

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SOLAR ENERGY
energy yield
forecasting
photovoltaics
spectral irradiance

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