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A Statistical Approach to Solar Photovoltaic Module Lifetime Prediction


Abstract The main objective of this research is to develop an approach to PV module lifetime prediction. In doing so, the aim is to move from empirical generalizations to a formal predictive science based on data-driven case studies of the crystalline silicon PV systems. The evaluation of PV systems aged 5 to 30 years old that results in systematic predictive capability that is absent today. The warranty period provided by the manufacturers typically range from 20 to 25 years for crystalline silicon modules. The end of lifetime (for example, the time-to-degrade by 20% from rated power) of PV modules is usually calculated using a simple linear extrapolation based on the annual field degradation rate (say, 0.8% drop in power output per year). It has b... (more)
Created Date 2014
Contributor Kuitche, Joseph Mathurin (Author) / Pan, Rong (Advisor) / TamizhMani, Govindasamy (Advisor) / Montgomery, Douglas C (Committee member) / Wu, Teresa (Committee member) / Arizona State University (Publisher)
Subject Industrial engineering / Alternative energy / Statistics
Type Doctoral Dissertation
Extent 205 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Industrial Engineering 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis