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Quantification of PV Module Discoloration Using Visual Image Analysis

机译:使用可视图像分析定量光伏组件的变色

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Discoloration of encapsulant is one of the primary causes behind the decrease in power output of field aged PV modules. It would be beneficial to develop a method for quantifying the discoloration based on visual photography and establish a correlation with the power degradation. We hereby describe techniques for analyzing visual images to quantify the discoloration, with the ultimate aim of estimating the short circuit current degradation. Our analysis shows that it is possible to estimate the Yellowness Index of discolored areas in PV modules from the visual images, and it correlates well with the reduction in short circuit current density (calculated from quantum efficiency measurements).
机译:密封剂的变色是现场老化的光伏模块功率输出下降的主要原因之一。开发基于视觉摄影的变色定量方法并建立与功率下降的相关性将是有益的。我们在此描述用于分析视觉图像以量化变色的技术,其最终目的是估计短路电流的下降。我们的分析表明,可以从可视图像中估算光伏组件中变色区域的黄度指数,并且它与短路电流密度的降低(根据量子效率测量结果得出)有很好的相关性。

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