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    Electroluminescence image analysis of a photovoltaic module under accelerated lifecycle testing

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    Author
    Lai, Teh
    Potter, B G
    Simmons-Potter, Kelly
    Affiliation
    Univ Arizona, Dept Elect & Comp Engn
    Univ Arizona, Dept Opt Sci
    Univ Arizona, Dept Mat Sci & Engn
    Issue Date
    2020
    Keywords
    accelerated lifecycle
    polycrystalline
    silicon
    photovoltaic
    electroluminescence
    environmental degradation
    
    Metadata
    Show full item record
    Publisher
    OPTICAL SOC AMER
    Citation
    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 optics
    Rights
    © 2020 Optical Society of America
    Collection 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 2020
    EISSN
    1539-4522
    PubMed ID
    32749337
    DOI
    10.1364/AO.391957
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1364/AO.391957
    Scopus Count
    Collections
    UA Faculty Publications

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