Electroluminescence image analysis of a photovoltaic module under accelerated lifecycle testing
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Electroluminescence image ...
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Final Accepted Manuscript
Affiliation
Univ Arizona, Dept Elect & Comp EngnUniv Arizona, Dept Opt Sci
Univ Arizona, Dept Mat Sci & Engn
Issue Date
2020Keywords
accelerated lifecyclepolycrystalline
silicon
photovoltaic
electroluminescence
environmental degradation
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OPTICAL SOC AMERCitation
Lai, T., Potter, B. G., & Simmons-Potter, K. (2020). Electroluminescence image analysis of a photovoltaic module under accelerated lifecycle testing. Applied optics, 59(22), G225-G233.Journal
Applied opticsRights
© 2020 Optical Society of AmericaCollection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Electroluminescence (EL) imaging of Si-based photovoltaic (PV) modules is used widely to spatially detect and characterize electrical defects, including handling and degradation-induced cracking of the component Si cells that are associated with reductions in module performance. In the present study, a commercial polycrystalline silicon PV module was subjected to accelerated lifecycle test environmental conditions and examined as a function of environmental exposure time using EL imaging. The approach followed pixel intensity distributions over each individual PV cell and confirmed a positive correlation between module conversion efficiency and results of the image analysis. Overall, an average of a 2.5% reduction in normalized EL intensity was correlated to a 0.35% reduction in actual power conversion efficiency (or a 2.3% decrease in relative efficiency). The imaging analysis technique offers a rapid, unsupervised means to assess EL data in lieu of conventional visual interpretation.Note
12 month embargo; published 14 July 2020EISSN
1539-4522PubMed ID
32749337Version
Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1364/AO.391957
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