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首页> 外文期刊>Energy Technology: Generation,Conversion,Storage,Distribution >Defect Detection and Degradation Analysis in Photovoltaic Modules using Thermography, Spectroscopy, and Current-Voltage Measurements, and Quantitative Assessment of Their Impact
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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

机译:光伏模块的缺陷检测和劣化分析,使用热处理,光谱学和电流电压测量,以及对其影响的定量评估

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摘要

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.
机译:光伏(PV)模块中缺陷的测量及其影响评估可以有助于提高光伏系统的可靠性和性能。这里,提出了利用红外(IR)热成像,电致发光发射光谱和电流 - 电压(I-V)测量的组合的改进的缺陷检测和劣化分析方法。此外,还提出了自动检测和计算有缺陷区域的图像处理方案。首先,实验在正常操作模块上进行。随后,诱导不同的缺陷和故障,再次进行实验。定量和定性分析这些模块。从IR图像,有缺陷的区域,过热和渗出计算。从I-V测量,执行功率损耗,电流劣化和电压劣化计算。 IR图像显示的缺陷与I-V曲线偏差相关,并且还分析了它们对电源损耗和电流/电压劣化的影响。此外,有缺陷区域的电致发光排放与过热/漏气的计算相关。最后,总结了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劣化阶段和模式。在没有最佳测量条件的情况下,它还可以帮助使用仅使用IR成像和相关计算的决策。

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