Generalized Spatio-Temporal Model of Backsheet Degradation From Field Surveys of Photovoltaic Modules
| Autor: | Yu Wang, Scott Julien, Kenneth P. Boyce, Xiaohong Gu, Kai-Tak Wan, Roger H. French, Lucas S. Fridman, Adam W. Hauser, Sophie Napoli, Alan J. Curran, Liang Ji, Nicholas R. Wheeler, Andrew Fairbrother, Laura S. Bruckman, Gregory S. O'brien, Wei-Heng Huang, Michael D. Kempe |
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| Rok vydání: | 2019 |
| Předmět: |
020209 energy
Photovoltaic system Irradiance 02 engineering and technology 021001 nanoscience & nanotechnology Condensed Matter Physics Electronic Optical and Magnetic Materials Rack 0202 electrical engineering electronic engineering information engineering Environmental science Degradation (geology) Electrical and Electronic Engineering 0210 nano-technology Pv power Remote sensing |
| Zdroj: | IEEE Journal of Photovoltaics. 9:1374-1381 |
| ISSN: | 2156-3403 2156-3381 |
| DOI: | 10.1109/jphotov.2019.2928700 |
| Popis: | Photovoltaic (PV) module backsheets degrade at different rates because of the specific polymeric materials and the local exposure environments of the installations. Studies of real-world backsheet degradation provide valuable information to understand backsheet degradation and failure. Field surveys of PV module backsheets were conducted on 1310 modules in four commercial PV power plant sites with different exposure times. The backsheet's local exposure environment is determined by its location along the rack length and depth, the modules’ elevation above the ground, and the ground cover albedo. Backsheets that are installed at the ends of the module rack length exhibit larger degradation rates (with yellowness index difference of 1.14 $\pm$ 0.45 and 7.80 $\pm$ 1.3 for backsheets of poly (ethylene terephthalate) and poly (ethylene naphthalate) as the air-side layer, respectively) than backsheets in the center section of the rack. A generalized spatio-temporal model was developed to predict the large-scale backsheet degradation of different backsheet polymers across time/age and location in the PV power plant rack. The model utilizes a cubic-spline relationship between backsheet degradation and rack length, and a quadratic relationship between backsheet discoloration and rack depth. This generalized spatio-temporal model predicts the outdoor backsheet degradation with an adjusted- $R^2$ range between 0.31 to 0.89. The similarity between this model and the spatial variation of the rear-side irradiance, indicates that the irradiance plays a significant role in outdoor backsheet degradation. The generalized spatio-temporal model can be used to evaluate large scale PV backsheet performance, as well as a guidance for PV site designers and operations and maintenance crews. |
| Databáze: | OpenAIRE |
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