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Failure modes effects and criticality analysis (FMECA) approach to the crystalline silicon photovoltaic module reliability assessment

机译:失效模式影响和临界分析(FMECA)方法用于晶体硅光伏组件可靠性评估

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Traditional degradation or reliability analysis of photovoltaic (PV) modules has historically consisted of some combination of accelerated stress and field testing, including field deployment and monitoring of modules over long time periods, and analyzing commercial warranty returns. This has been effective in identifying failure mechanisms and developing stress tests that accelerate those failures. For example, BP Solar assessed the long term reliability of modules deployed outdoor and modules returned from the field in 2003; and presented the types of failures observed. Out of about 2 million modules, the total number of returns over nine year period was only 0.13%. An analysis on these returns resulted that 86% of the field failures were due to corrosion and cell or interconnect break. These failures were eliminated through extended thermal cycling and damp heat tests. Considering that these failures are observed even on modules that have successfully gone through conventional qualification tests, it is possible that known failure modes and mechanisms are not well understood. Moreover, when a defect is not easily identifiable, the existing accelerated tests might no longer be sufficient. Thus, a detailed study of all known failure modes existed in field test is essential. In this paper, we combine the physics of failure analysis with an empirical study of the field inspection data of PV modules deployed in Arizona to develop a FMECA model. This technique examines the failure rates of individual components of fielded modules, along with their severities and detectabilities, to determine the overall effect of a defect on the module's quality and reliability.
机译:光伏(PV)模块的传统降级或可靠性分析历来包括加速应力和现场测试的某种组合,包括长时间部署和长时间监视模块以及分析商业保修回报。这对于识别故障机制和开发加速这些故障的压力测试非常有效。例如,BP太阳能评估了2003年部署在室外的组件和从野外返回的组件的长期可靠性;并介绍了观察到的故障类型。在大约200万个模块中,九年期间的总回报率仅为0.13%。对这些收益的分析表明,有86%的现场故障是由于腐蚀以及电池或互连线断裂所致。通过扩展的热循环和湿热测试消除了这些故障。考虑到即使在已成功通过常规资格测试的模块上也观察到了这些故障,所以可能无法很好地理解已知的故障模式和机制。而且,当不容易发现缺陷时,现有的加速测试可能不再足够。因此,对现场测试中存在的所有已知故障模式的详细研究至关重要。在本文中,我们将故障分析的物理原理与对亚利桑那州部署的光伏组件的现场检查数据进行的实证研究相结合,以开发FMECA模型。该技术检查现场模块的各个组件的故障率及其严重性和可检测性,以确定缺陷对模块质量和可靠性的总体影响。

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