Life Prediction Model Development for Flexible Photovoltaic Modules using Accelerated Damp Heat Testing
Autor: | J. J. Bill Liu, Venkata Bheemreddy, Andrew Wills, C. Paola Murcia |
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Rok vydání: | 2018 |
Předmět: |
business.industry
Computer science media_common.quotation_subject Photovoltaic system Work (physics) 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Copper indium gallium selenide solar cells Field (computer science) 0104 chemical sciences Reliability engineering chemistry.chemical_compound Reliability (semiconductor) chemistry New product development Quality (business) 0210 nano-technology business Copper indium gallium selenide media_common |
Zdroj: | 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC). |
Popis: | Establishing the reliability of photovoltaic (PV) modules is challenging because of several failure mechanisms that can be triggered during outdoor exposure. Accelerated reliability testing has been proven to be an efficient strategy for assessing the field life of photovoltaic modules. Developing a reliable model for correlating indoor accelerated test performance to field life performance is critical as it enables high quality product development with minimum customer product returns. In this work, we have developed a reliability model for assessing the field life of copper indium gallium selenide (CIGS) based flexible PV modules using accelerated damp heat tests conducted at different temperature and humidity conditions. It was shown that including a time exponent term in the life prediction model could be important for improving the accuracy of field life prediction. |
Databáze: | OpenAIRE |
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