4.7 Article

Impact of measured spectrum variation on solar photovoltaic efficiencies worldwide

期刊

RENEWABLE ENERGY
卷 196, 期 -, 页码 995-1016

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2022.07.011

关键词

Photovoltaics; Energy yield; Spectral irradiance; Forecasting

资金

  1. NUS
  2. National Research Foundation Singapore (NRF)
  3. Energy Market Authority of Singapore (EMA)
  4. Singapore Economic Development Board (EDB)
  5. Ispra, Italy
  6. Joint Research Centre of the European Commission
  7. Spanish Ministry of Economy, Industry, and Competitiveness [ENE2017-83790-C3-1-2-3-R]
  8. European Regional Development Fund
  9. Brazilian Electricity Regulatory Agency-ANEEL through the ANEEL R D Program
  10. Peruvian CONCYTEC PROCIENCIA [013-2020-FONDECYT-BM]
  11. New Energy and Industrial Technology Development Organization (NEDO), Japan

向作者/读者索取更多资源

In photovoltaic power ratings, the standard solar spectrum AM1.5 is insufficient for comparing solar cells with different spectral responses. Ground-level measurements of spectral irradiance collected worldwide provide a sampling of geographic, seasonal, and diurnal variation, allowing for more accurate analysis of solar energy utility.
In photovoltaic power ratings, a single solar spectrum, AM1.5, is the de facto standard for record labo-ratory 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 sam-pling 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.(c) 2022 Elsevier Ltd. All rights reserved.

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