TY - JOUR
T1 - Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide
AU - Kinsey, Geoffrey S.
AU - Riedel-Lyngskær, Nicholas C.
AU - Miguel, Alonso Abella
AU - Boyd, Matthew
AU - Braga, Marília
AU - Shou, Chunhui
AU - Cordero, Raul R.
AU - Duck, Benjamin C.
AU - Fell, Christopher J.
AU - Feron, Sarah
AU - Georghiou, George E.
AU - Habryl, Nicholas
AU - John, Jim J.
AU - Ketjoy, Nipon
AU - López, Gabriel
AU - Louwen, Atse
AU - Maweza, Elijah Loyiso
AU - Minemoto, Takashi
AU - Mittal, Ankit
AU - Molto, Cécile
AU - Neves, Guilherme
AU - Garrido, Gustavo Nofuentes
AU - Norton, Matthew
AU - Paudyal, Basant R.
AU - Pereira, Enio Bueno
AU - Poissant, Yves
AU - Pratt, Lawrence
AU - Shen, Qu
AU - Reindl, Thomas
AU - Rennhofer, Marcus
AU - Rodríguez-Gallegos, Carlos D.
AU - Rüther, Ricardo
AU - van Sark, Wilfried
AU - Sevillano-Bendezú, Miguel A.
AU - Seigneur, Hubert
AU - Tejero, Jorge A.
AU - Theristis, Marios
AU - Töfflinger, Jan A.
AU - Ulbrich, Carolin
AU - Vilela, Waldeir Amaral
AU - Xia, Xiangao
AU - Yamasoe, Márcia A.
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/8
Y1 - 2022/8
N2 - 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.
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.
KW - Energy yield
KW - Forecasting
KW - Photovoltaics
KW - Spectral irradiance
UR - https://www.scopus.com/pages/publications/85134783096
U2 - 10.1016/j.renene.2022.07.011
DO - 10.1016/j.renene.2022.07.011
M3 - Article
AN - SCOPUS:85134783096
SN - 0960-1481
VL - 196
SP - 995
EP - 1016
JO - Renewable Energy
JF - Renewable Energy
ER -
SDG 7 Affordable and Clean Energy