TY - GEN
T1 - Acceleration Factor Modeling for Degradation Rate Prediction of Photovoltaic Encapsulant Discoloration
AU - Sinha, Archana
AU - Pore, Shantanu
AU - Balasubramaniyan, Arun
AU - Tamizh Mani, Govinda Samy
N1 - Funding Information:
This work was supported by Department of Energy (DOE).
Publisher Copyright:
© 2018 IEEE.
PY - 2018/11/26
Y1 - 2018/11/26
N2 - An acceleration factor modeling approach to predict the degradation rate for climate-specific encapsulant discoloration in glass/polymer construction modules is presented. The modeling has two different routes of determining the acceleration factor and activation energy for encapsulant browning, which is governed by the degradation data obtained from either the outdoor field or the indoor accelerated UV stress testing. The model developed based on the modified Arrhenius equation uses hourly meteorological data in conjunction with the degradation data. An acceleration factor of 23 is determined for encapsulant browning of c-Si modules exposed to Arizona climate (Hot and Dry) and the degradation rate predicted due only to encapsulant browning is about 0.37±0.04% per year.
AB - An acceleration factor modeling approach to predict the degradation rate for climate-specific encapsulant discoloration in glass/polymer construction modules is presented. The modeling has two different routes of determining the acceleration factor and activation energy for encapsulant browning, which is governed by the degradation data obtained from either the outdoor field or the indoor accelerated UV stress testing. The model developed based on the modified Arrhenius equation uses hourly meteorological data in conjunction with the degradation data. An acceleration factor of 23 is determined for encapsulant browning of c-Si modules exposed to Arizona climate (Hot and Dry) and the degradation rate predicted due only to encapsulant browning is about 0.37±0.04% per year.
KW - Arrhenius model
KW - acceleration factor
KW - degradation rate
KW - encapsulant discoloration
KW - lifetime prediction
KW - photovoltaic module
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U2 - 10.1109/PVSC.2018.8547944
DO - 10.1109/PVSC.2018.8547944
M3 - Conference contribution
AN - SCOPUS:85059912781
T3 - 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC
SP - 1342
EP - 1346
BT - 2018 IEEE 7th World Conference on Photovoltaic Energy Conversion, WCPEC 2018 - A Joint Conference of 45th IEEE PVSC, 28th PVSEC and 34th EU PVSEC
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE World Conference on Photovoltaic Energy Conversion, WCPEC 2018
Y2 - 10 June 2018 through 15 June 2018
ER -