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| Step-stress Accelerated Degradation Testing for Solar Reflectors |
| Received:May 15, 2014 Revised:June 24, 2014 |
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| DOI：10.7643/issn.1672-9242.2014.04.021 |
| KeyWord:step-stress accelerated degradation testing solar reflectors ultra accelerated weathering system service lifetime prediction |
| Author | Institution |
| LI Di-fan |
Southwest Technology and Engineering Research Institute, Chongqing , China;Chongqing Engineering Research Center for Environmental Corrosion and Protection, Chongqing , China |
| ZHANG Kai |
Southwest Technology and Engineering Research Institute, Chongqing , China;Chongqing Engineering Research Center for Environmental Corrosion and Protection, Chongqing , China |
| ZHANG Yan |
Southwest Technology and Engineering Research Institute, Chongqing , China |
| FU Zhao-xu |
Southwest Technology and Engineering Research Institute, Chongqing , China;Chongqing Engineering Research Center for Environmental Corrosion and Protection, Chongqing , China |
| ZHU Yu-qin |
Southwest Technology and Engineering Research Institute, Chongqing , China;Chongqing Engineering Research Center for Environmental Corrosion and Protection, Chongqing , China |
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| Abstract: |
| To meet the challenge of reducing the cost of electricity generated with concentrating solar power ( CSP) , new low-cost reflector materials are being developed, including metalized polymer reflectors. By being exposed solar reflectors to UV-light, we used the application of testing methods and statistical inference techniques to quantitative evaluate and improve service lifetime of solar reflectors associated with failure mechanisms, which are exposed to UV-light. We will take advantage of the Ultra Accelerated Weathering System ( UAWS) to assess various degradation patterns caused by accelerated aging because of exposing to UV. On account of numbers of samples, test conditions, performance degradation, failure patterns and other reasons, the test results may be used to further deduce failure mechanisms, associated physical parameters, service lifetimes, and uncertainties. In necessary and complicated circumstances, we can use advanced planning and statistical inference, and propose step-stress accelerated degradation testing ( SSADT) methods. |
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