Cross-correlation Analysis of the Indoor Accelerated and Real World Exposed Photovoltaic Systems Across Multiple Climate Zones

2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC) Pub Date : 2018-06-01 DOI:10.1109/PVSC.2018.8547840

Jiqi Liu, A. Curran, Justin S. Fada, Xuan Ma, Wei-Heng Huang, C. B. Jones, Erdmut Schnabel, Michael Kohl, J. Braid, R. French

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引用次数: 3

Abstract

The authors demonstrate a method to calculate the cross-correlation scale factor (CCSF) which rescales the time between indoor and outdoor degradation models. The CCSF is further applied to obtain the cross correlation coefficients(CCC) between the models of outdoor modules located in three climate zones and the indoor accelerated tests using damp-heat and thermal cycle exposures for five commercial PV module brands. We evaluate and compare the performances of different combinations based on the CCC, to determine the indoor accelerated test which is most closely related to real world conditions at each site. The result shows that the cross correlation coefficients among some combinations between the outdoor model and indoor model are over 0.9, and we further compare the trend of I-V features between indoor and outdoor modules to evaluate the degree of similarity of degradation mechanisms between indoor and outdoor modules. The result obtained from these two comparison methods are in good agreement with each other.

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多气候带室内加速与暴露光伏系统的相互关系分析

本文提出了一种计算相互关联尺度因子(CCSF)的方法，该方法对室内和室外退化模型之间的时间进行了重新标度。进一步应用CCSF获得了5个商用光伏组件品牌的3个气候带的室外组件模型与室内湿热和热循环暴露加速试验之间的相互关联系数(CCC)。我们评估和比较了基于CCC的不同组合的性能，以确定与每个站点的实际情况最接近的室内加速测试。结果表明，室外模型与室内模型部分组合的相关系数大于0.9，并进一步比较了室内外模块间I-V特征的变化趋势，评价了室内外模块间退化机制的相似程度。两种比较方法的结果吻合较好。

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2018 IEEE 7th World Conference on Photovoltaic Energy Conversion (WCPEC) (A Joint Conference of 45th IEEE PVSC, 28th PVSEC & 34th EU PVSEC)

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