首页> 外文会议>European Photovoltaic Solar Energy Conference and Exhibition >OUTDOOR ELECTROLUMINESCENCE IMAGING OF CRYSTALLINE PHOTOVOLTAIC MODULES: COMPARATIVE STUDY BETWEEN MANUAL GROUND-LEVEL INSPECTIONS AND DRONE-BASED AERIAL SURVEYS
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OUTDOOR ELECTROLUMINESCENCE IMAGING OF CRYSTALLINE PHOTOVOLTAIC MODULES: COMPARATIVE STUDY BETWEEN MANUAL GROUND-LEVEL INSPECTIONS AND DRONE-BASED AERIAL SURVEYS

机译:晶体光伏模块的户外电致发光成像:手动地面检查与无人机的空中调查之间的比较研究

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The electroluminescence (EL) scan is a powerful method to detect solar cells or modules with various defects. The electroluminescence measurement is used by default already in most cell and module production although an international standard determining pass and fail criteria is still missing. Furthermore, so far there was no suitable approach available for large-scale investigation of complete plants over 1 MW. One of the reasons is varying ambient conditions in real power plants that have a significant impact on the EL image quality during data acquisition in field. However, there is an increasing interest and demand in high volume EL-field inspections. Different systems are available, whereas most of them only operate during the night, because of less interfering radiation. In this paper two different methods for high volume EL image capture are compared including the usage of a drone generating EL videos of solar plants. The pros and cons and especially the influence of irradiation, wind and day time are investigated. Exemplarily results are presented obtained in a project where 12500 modules - potentially crack affected - have been investigated. The software-based data analysis revealed that crack-affected cells were mainly located in the center of the modules and PID affected modules were manly located at the edge.
机译:电致发光(EL)扫描是一种能够检测具有各种缺陷的太阳能电池或模块的强大方法。默认情况下,电致发光测量已经在大多数单元格和模块生产中使用,尽管仍缺少国际标准确定通过和失败标准。此外,到目前为止,没有合适的方法可用于超过1兆瓦的完整植物的大规模调查。其中一个原因是实际发电厂的环境条件不同,在现场数据采集期间对EL图像质量产生重大影响。然而,在高卷EL场检查中存在越来越令人感兴趣和需求。不同系统可用,而大多数人只在夜间运行,因为辐射不那么干扰。在本文中,比较了两种不同的高批量EL图像捕获方法,包括使用太阳能厂的助理EL视频的无人机。研究了辐照,风和白天时间的利弊,尤其是影响。示例性地提出了在12500个模块的项目中获得的,其中已经研究过潜在的裂缝。基于软件的数据分析显示,受影响的细胞主要位于模块的中心,并且PID受影响的模块在边缘处定位。

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