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光伏发电技术 储能系统 ★ 5.0

通过紫外荧光成像提高光伏组件现场检测的成本和时间效益

Enhancing the Cost- and Time-Effectiveness of Field PV Module Inspection by UV-Fluorescence Imaging

作者 Claudia Buerhop · Eugene Ernest van Dyk · Frederik J. Vorster · Oleksandr Stroyuk · Oleksandr Mashkov · Jacqueline L. Crozier McCleland
期刊 IEEE Journal of Photovoltaics
出版日期 2024年11月
技术分类 光伏发电技术
技术标签 储能系统
相关度评分 ★★★★★ 5.0 / 5.0
关键词 紫外荧光成像 光伏组件检测 近红外吸收光谱 电气测量 运维成本降低
语言:

中文摘要

本案例研究凸显了紫外荧光成像作为一种新兴光伏(PV)组件检测工具的潜力,它能大幅降低现场检测的成本和时间,并为实现高通量作业开辟了途径。通过将紫外荧光成像技术与近红外吸收光谱法和电气测量相结合,其应用超越了已报道的能力范围。这种综合方法可用于识别和评估聚合物背板与封装材料,即检测与聚合物相关的特征(如降解、腐蚀)以及其他异常情况(如电池片裂纹和热斑电池),且具有其他方法难以企及的成本效益和时间效益。特别是,一座2兆瓦峰值功率的光伏电站中的1890块光伏组件显示出关键问题,其中40%的被检测组串存在背板内部裂纹和绝缘电阻低于1兆欧的情况,并且这些问题与特定类型的背板群体相关。该方法每小时平均可检测400 - 500块组件,显示出在加速光伏电站检测和降低成本方面的巨大潜力。它能为系统性能提供重要见解,有助于光伏系统的主动运维。

English Abstract

This case study highlights the potential of UV fluorescence imaging as an emerging photovoltaic (PV) module inspection tool allowing the cost and time of the field inspection to be considerably reduced and opening a gateway to high-throughput operation. The application of UV fluorescence imaging is advanced beyond its reported capabilities by combining this technique with near-infrared absorption spectroscopy and electrical measurements. This combined approach allows for the identification and assessment of polymer backsheets and encapsulants, i.e., detection of polymer-related features (e.g., degradation, corrosion) as well as other anomalies (e.g., cell cracks and hot cells) with otherwise inaccessible cost- and time-effectiveness. In particular, 1890 PV modules in a 2 MWp PV power station show critical issues, including inner backsheet cracks and an insulation resistance below 1 MΩ identified for 40% of inspected strings and assigned to specific backsheet type populations. With an average throughput of 400–500 modules per hour, the present approach demonstrates a large potential for acceleration and cost-reduction of the PV plant inspection. It provides significant insights into system performance enabling proactive operation and maintenance of PV systems.
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SunView 深度解读

紫外荧光成像技术对阳光电源智能运维体系具有重要应用价值。该技术可直接集成至iSolarCloud云平台的智能诊断模块,为大型地面电站和分布式光伏系统提供快速、低成本的组件健康检测方案。通过识别裂纹、脱层等隐性缺陷,可优化SG系列逆变器的MPPT算法,避免失配损失;同时为PowerTitan储能系统配套的光伏阵列提供预测性维护依据,提前发现潜在故障点。该技术与无人机巡检结合,可大幅提升阳光电源运维服务效率,降低LCOE,增强全生命周期资产管理能力,支撑从设备供应商向综合能源服务商的战略转型。