Risk priority number for understanding the severity of photovoltaic failure modes and their impacts on performance degradation
Case Studies in Thermal Engineering, ISSN: 2214-157X, Vol: 16, Page: 100563
2019
- 48Citations
- 108Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The alleged reliability has led the longest warranty period for Photovoltaic (PV) modules up to 20–25 years; it becomes possible after understanding the failure mode and degradation analysis of PV module. Failure mode decreases the performance of the PV module throughout the long-term outdoor exposure. The main objective of the present study is to identify the failure mechanism and failure mode of solar PV modules and their impact on degradation in operating conditions. Assessment of previous studies on rate indicates the highest performance losses at initial stage of outdoor exposure and a degradation drop-off of 0.014% per year. In this context, risk priority number (RPN) analysis is carried out to identify the severity of the failure mode, which affect the system performance for c-Si technologies. However, hot spot and de-lamination are degradation modes related to safety issue with lower value of RPN <50.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2214157X19304083; http://dx.doi.org/10.1016/j.csite.2019.100563; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85076211516&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2214157X19304083; https://dx.doi.org/10.1016/j.csite.2019.100563
Elsevier BV
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