4.5 Article

Prediction of Climate-Specific Degradation Rate for Photovoltaic Encapsulant Discoloration

Journal

IEEE JOURNAL OF PHOTOVOLTAICS
Volume 10, Issue 4, Pages 1093-1101

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPHOTOV.2020.2989182

Keywords

Degradation; Mathematical model; Photovoltaic systems; Meteorology; Life estimation; Testing; Acceleration factor (AF); activation energy; Arrhenius model; degradation rate; discoloration; encapsulant; photovoltaic (PV) module

Funding

  1. U.S. Department of Energy, the SunShot program, PREDICTS II [DE-EE0007138]

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Encapsulant discoloration is a well-known field degradation mode of crystalline-silicon photovoltaic modules, particularly in the hot climate zones. The discoloration rate is influenced by several weathering factors, such as UV light, module temperature, and humidity, as well as the permeability of oxygen into the module. In this article, a rate dependence model employing the modified Arrhenius equations to predict the degradation rate for encapsulant discoloration in different climates is presented. Two modeling approaches are introduced, which utilize the field and accelerated UV testing degradation data in conjunction with the field meteorological data to determine the acceleration factor for encapsulant browning. A novel method of accelerated UV stress testing at three simultaneous module temperatures in a single environmental chamber test run is implemented to estimate the activation energy for browning. The test was performed on three field-retrieved modules to capture the wear-out failure mechanism. The degradation in short-circuit current I-sc rather than maximum power is used as a decisive parameter for the discoloration analysis. Furthermore, the developed model has been used to predict the I-sc degradation rate for the Arizona field characterized by a hot and dry climate and is validated against the field-measured value. It has also been applied to other climate types, e.g., the cold and dry climate of New York.

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