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硅基光伏组件退化及近期识别技术综述
A review on silicon photovoltaic module degradations and recent identification techniques
| 作者 | Abdulwahab A.Q.Hasan · A.W.Mahmood Zuhdi · Abbas M.Al-Ghaili · Ali Q. Al Shetwi · Mohammad Aminul Islam · K.Prajindra Sankar · Saraswathy Shamini Gunasekaran |
| 期刊 | Solar Energy |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 288 卷 |
| 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 | 光伏系统 清洁能源 部署 需求 挑战 |
语言:
中文摘要
摘要 光伏(PV)系统因全球对清洁能源日益增长的需求而以前所未有的速度部署。然而,最大的挑战在于确保这些光伏系统特别是光伏组件能够长期有效运行。本综述研究了不同硅基太阳能光伏技术的退化问题,包括双面电池,并重点关注近年来引入的技术,如隧穿氧化层钝化接触(TOPCon)电池和硅异质结(SHJ)电池。此外,本文还考察了太阳能光伏行业中用于故障和退化识别的最新技术进展。通过回顾多种分析与实验研究,建立了对太阳能光伏组件退化分析方法的深入理解,包括现场监测和加速老化实验。我们的分析表明,在新近开发的光伏技术(如TOPCon和SHJ)中,紫外光照射和湿热环境是导致组件退化的关键因素。此外,研究结果表明,将扫描I-V曲线功能集成到光伏逆变器中,以及在白天实现先进的电致发光(EL)成像能力,在早期检测和量化退化方面展现出显著前景。本文还探讨了环境因素(如雷击)与光伏组件由此引发的退化之间的一种新关联。本研究全面概述了硅基光伏组件的退化机制及诊断方法,强调需要更加关注加速退化机理的外部因素。该综述还指出,对于新兴光伏技术,亟需开展更广泛的退化研究,因为当前相关研究仍十分有限,仅有少数测试得以实施。
English Abstract
Abstract Photovoltaic (PV) systems have been deployed at an unprecedented rate due to the growing worldwide demand for clean energy. Nevertheless, the most significant challenge is ensuring that these PV systems, particularly the PV modules , function effectively over the long term. This review investigates the degradation of different silicon solar PV technologies , including bifacial cells, focusing on recently introduced technologies such as Tunnel Oxide Passivated Contact (TOPCon) cells and silicon Heterojunction (SHJ) cells. Additionally, it examines recent advancements in failure and degradation identification techniques used in the solar PV industry. Various analytical and experimental studies were reviewed to develop a solid understanding of the approaches used to analyze solar PV degradation, including field monitoring and accelerated aging experiments. Our analysis identifies UV exposure and damp heat as key contributors to module degradation in recently developed PV technologies , such as TOPCon and SHJ. Furthermore, the findings suggest that integrating the scanning I-V curve function into PV inverters and the capability of advanced EL imaging during daylight show significant promise in detecting and quantifying degradation at early stages. A new correlation between environmental factors, such as lightning, and the degradation of PV modules caused by it is discussed. This study provides a comprehensive overview of silicon PV module degradation and diagnostic methods, highlighting the need for greater focus on external factors that accelerate degradation mechanisms . The review also emphasizes the pressing need for more extensive degradation investigations for emerging PV technologies, as current research is limited, and only a few tests have been conducted.
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SunView 深度解读
该研究对阳光电源SG系列光伏逆变器及iSolarCloud平台具有重要价值。文章指出将扫描I-V曲线功能集成到逆变器中可实现早期衰减检测,这与我们SG系列逆变器的MPPT优化技术高度契合,可通过固件升级增强组件健康诊断能力。针对TOPCon和HJT等新型组件对UV和湿热敏感的发现,建议优化iSolarCloud平台的预测性维护算法,结合环境因素(如雷电)建立衰减预警模型,提升电站全生命周期管理能力,为1500V系统提供更精准的功率预测和故障定位。