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Determination of Dominant Failure Modes Using Combined Experimental and Statistical Methods and Selection of Best Method to Calculate Degradation Rates


Abstract This is a two part thesis:

Part 1 of this thesis determines the most dominant failure modes of field aged photovoltaic (PV) modules using experimental data and statistical analysis, FMECA (Failure Mode, Effect, and Criticality Analysis). The failure and degradation modes of about 5900 crystalline-Si glass/polymer modules fielded for 6 to 16 years in three different photovoltaic (PV) power plants with different mounting systems under the hot-dry desert climate of Arizona are evaluated. A statistical reliability tool, FMECA that uses Risk Priority Number (RPN) is performed for each PV power plant to determine the dominant failure modes in the modules by means of ranking and prioritizing the modes. This study on PV power plants considers all ... (more)
Created Date 2014
Contributor Shrestha, Sanjay Mohan (Author) / Tamizhmani, Govindsamy (Advisor) / Srinivasan, Devrajan (Committee member) / Rogers, Bradley (Committee member) / Arizona State University (Publisher)
Subject Alternative energy / Statistics / Energy / Degradation / FMECA / Performance / Reliability
Type Masters Thesis
Extent 99 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Engineering 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis