A review of imaging methods for detection of photoluminescence in field-installed photovoltaic modules

Marija Vukovic, Marie Syre Wiig, G. Benatto, Espen Olsen, I. Burud
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Abstract

It is predicted that the photovoltaic energy conversion will be the largest installed power capacity by 2027. The least costly option for new electricity generation in many of the world’s countries will be the utility-scale solar photovoltaic electricity generation. Accurate monitoring of solar plants for localizing and detecting faults is expected to be one of the critical tasks facing the energy industry. Imaging of photovoltaic modules for the purpose of fault detection can be more efficient and accurate compared to measurements of electrical parameters. Different spectral regions provide different types of information about a faulty module. Detection of photoluminescence, that is, radiation emitted upon band-to-band recombination after charge carrier excitation with an illumination source, has shown a great potential in the laboratory setting. In the recent years, the first approaches in the outdoor setting have been conducted on silicon modules with the Sun and a LED module as excitation source. The present study sums up the different methods for outdoor photoluminescence imaging and emphasizes their differences regarding filtering of the reflected light from the photoluminescence signal. The different types of photoluminescence images obtained from each method and the image processing algorithms are described. Finally, the interpretation of the different types of photoluminescence images is addressed.
现场安装光伏组件光致发光检测成像方法综述
据预测,到 2027 年,光伏能源转换将成为最大的电力装机容量。在世界许多国家,公用事业规模的太阳能光伏发电将是成本最低的新发电选择。为定位和检测故障而对太阳能发电厂进行精确监控预计将成为能源行业面临的关键任务之一。与电气参数测量相比,以故障检测为目的的光伏模块成像更为高效和准确。不同的光谱区域可提供有关故障模块的不同类型信息。光致发光是电荷载流子被照明源激发后在带间重组时发出的辐射,其检测在实验室环境中显示出巨大的潜力。近年来,人们首次在室外环境中利用太阳和 LED 模块作为激发光源,对硅模块进行了研究。本研究总结了户外光致发光成像的不同方法,并强调了它们在过滤光致发光信号反射光方面的差异。还介绍了每种方法获得的不同类型的光致发光图像以及图像处理算法。最后,还讨论了不同类型光致发光图像的解读问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
18.20
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0.00%
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