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Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide

  • Geoffrey S. Kinsey
  • , Nicholas C. Riedel-Lyngskær
  • , Alonso Abella Miguel
  • , Matthew Boyd
  • , Marília Braga
  • , Chunhui Shou
  • , Raul R. Cordero
  • , Benjamin C. Duck
  • , Christopher J. Fell
  • , Sarah Feron
  • , George E. Georghiou
  • , Nicholas Habryl
  • , Jim J. John
  • , Nipon Ketjoy
  • , Gabriel López
  • , Atse Louwen
  • , Elijah Loyiso Maweza
  • , Takashi Minemoto
  • , Ankit Mittal
  • , Cécile Molto
  • Guilherme Neves, Gustavo Nofuentes Garrido, Matthew Norton, Basant R. Paudyal, Enio Bueno Pereira, Yves Poissant, Lawrence Pratt, Qu Shen, Thomas Reindl, Marcus Rennhofer, Carlos D. Rodríguez-Gallegos, Ricardo Rüther, Wilfried van Sark, Miguel A. Sevillano-Bendezú, Hubert Seigneur, Jorge A. Tejero, Marios Theristis, Jan A. Töfflinger, Carolin Ulbrich, Waldeir Amaral Vilela, Xiangao Xia, Márcia A. Yamasoe
  • Zuva Energy
  • Technical University of Denmark
  • CIEMAT
  • National Renewable Energy Laboratory
  • Universidade Federal de Santa Catarina
  • Key Laboratory of Solar Energy Utilization & Energy Saving Technology of Zhejiang Province
  • Universidad de Santiago de Chile
  • CSIRO
  • University of Cyprus
  • University of Central Florida
  • MBR Solar Park
  • Naresuan University
  • Universidad de Huelva
  • Eurac Research
  • Council for Scientific and Industrial Research (CSIR)
  • Ritsumeikan University Biwako-Kusatsu Campus
  • Austrian Institute of Technology
  • Instituto Nacional de Pesquisas Espaciais
  • University of Jaén
  • University of Agder
  • Natural Resources Canada
  • National University of Singapore
  • Utrecht University
  • Sandia National Laboratories
  • Scientific Management
  • CAS - Institute of Atmospheric Physics
  • Universidade de São Paulo

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

48 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Páginas (desde-hasta)995-1016
Número de páginas22
PublicaciónRenewable Energy
Volumen196
DOI
EstadoPublicada - ago. 2022

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante

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