Defect Detection and Degradation Analysis in Photovoltaic Modules using Thermography, Spectroscopy, and Current–Voltage Measurements, and Quantitative Assessment of Their Impact,Energy Technology

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Defect Detection and Degradation Analysis in Photovoltaic Modules using Thermography, Spectroscopy, and Current–Voltage Measurements, and Quantitative Assessment of Their Impact
Energy Technology ( IF 3.6 ) Pub Date : 2020-05-28 , DOI: 10.1002/ente.202000100
Muhammad Waqar Akram _{1,

2} , Guiqiang Li ₃ , Yi Jin ₁ , Xiao Chen ₄ , Changan Zhu ₁ , Imran Shauket ₂ , Ashfaq Ahmad ₁

Affiliation

The measurement of defects in photovoltaic (PV) module and their impact assessment can help to improve the reliability and performance of PV systems. Herein, improved defect detection and degradation analysis approach using the combination of infrared (IR) thermography, electroluminescence emission spectroscopy, and current–voltage (I –V ) measurements are presented. Moreover, an image‐processing scheme to automatically detect and compute defective area is also proposed. First, experiments are conducted on normal operating modules. Subsequently, different defects and failures are induced, and experiments are conducted again. These modules are analyzed quantitatively and qualitatively. From IR images, defective area, overheating, and underheating computations are carried out. From I –V measurements, power losses, current degradation, and voltage degradation calculations are carried out. The defects that show up in IR images are correlated with I –V curve deviations and their effect on power losses and current/voltage degradation is also analyzed. Moreover, electroluminescence emissions of defective regions are correlated with overheating/underheating calculations. Finally, the observations from experimental results and related quantitative/qualitative computations are summarized. This approach can help to investigate module degradation stage and mode. It can also help in decision making with the use of only IR imaging and related computations in absence of optimum measurement conditions.

中文翻译：

光伏模块中缺陷的检测和降解分析，包括热成像，光谱学和电流电压测量，以及对其影响的定量评估

光伏（PV）模块中缺陷的测量及其影响评估可以帮助提高光伏系统的可靠性和性能。在本文中，改善的缺陷检测和使用红外（IR）热，电致发光发射光谱，和电流-电压的组合降解分析方法（我- V）的测量被呈现。此外，还提出了一种自动检测和计算缺陷区域的图像处理方案。首先，在正常操作模块上进行实验。随后，引发了不同的缺陷和故障，并再次进行了实验。这些模块进行了定量和定性分析。根据红外图像，进行缺陷区域，过热和过热计算。从进行I – V测量，功率损耗，电流衰减和电压衰减计算。在红外图像中显示的缺陷与相关我- V曲线的偏差以及它们对功率损耗和电流/电压降解效果进行了分析。此外，缺陷区域的电致发光发射与过热/过热计算相关。最后，总结了来自实验结果和相关定量/定性计算的观察结果。这种方法可以帮助调查模块降级的阶段和模式。在没有最佳测量条件的情况下，它也可以仅使用IR成像和相关计算来帮助做出决策。

更新日期：2020-07-02

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