了解光伏组件退化:关键因素、模型和可靠性增强方法概述

Saliou Diallo, Fatim Zahra Melhaoui, Mohamed Rafi, Abdellatif Elassoudi
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摘要

光伏(PV)模块虽然以可靠性和长达 25-30 年的使用寿命而著称,但通常会受到不同环境因素的影响而逐渐出现性能退化。本文献综述通过对失效模式、表征技术、分析模型和缓解策略的深入分析,探讨了光伏组件的退化问题。文中讨论了光伏组件中出现的一系列失效模式,包括互连断裂、电池裂纹、金属化腐蚀、分层、乙烯-醋酸乙烯(EVA)褪色、电位诱导降解(PID)、光诱导降解(LID)等。温度、湿度、紫外线(UV)辐射和灰尘积聚等环境压力在加速几乎所有降解模式方面都起着重要作用。灰尘是中东/北非(MENA)地区的一个关键因素。研究实际条件下的降解模式仍然具有挑战性,需要进行大量的现场测试,以检查缺陷频率、演变速度以及对能源生产的影响。PID 是一种主要退化模式,需要建模和校正技术来提高光伏效率和寿命。然而,PID 模型通常仅限于特定条件,这给适用性带来了挑战。目视检查、电流-电压(I-V)、各种成像方法和共振超声波振动(RUV)等表征方法能够有效评估退化对组件特性的影响。分析模型有助于研究特定的退化模式,并预测不同条件下的寿命。影响光伏退化的关键因素包括天气变化、材料质量、设计参数、PID 和热点。保护涂层、封装改进和组件清洁有助于缓解降解和延长使用寿命。通过综合实验和建模全面了解机理对于提高性能至关重要。本研究通过回顾主要降解现象、表征技术、分析模型和缓解策略,促进光伏的耐用性和可持续性。在不同气候条件下的组件行为以及不同降解机制之间的协同效应方面,仍然存在巨大的知识差距。在不同环境下进行广泛的现场测试,再配以先进的多物理场建模,可以提供有价值的见解,指导技术改进,从而在全球范围内实现坚固耐用的光伏系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding Photovoltaic Module Degradation: An Overview of Critical Factors, Models, and Reliability Enhancement Methods
Photovoltaic (PV) modules, though reputed for reliability and long lifespans of 25-30 years, commonly experience gradual performance degradation influenced by varying environmental factors. This literature review explores the degradation of PV modules through in-depth analysis of failure modes, characterization techniques, analytical models, and mitigation strategies. A range of failure modes seen in PV modules are discussed, including interconnect breakage, cell cracks, metallization corrosion, delamination, ethylene-vinyl acetate (EVA) discoloration, Potential-Induced Degradation (PID), Light-Induced Degradation (LID), and other. Environmental stresses like temperature, humidity, ultraviolet (UV) radiation, and dust accumulation play significant roles in accelerating almost all degradation modes. Dust is a crucial factor in Middle East/North Africa (MENA) regions. Studying degradation modes under real-world conditions remains challenging, requiring extensive field testing to examine defect frequency, evolution rate, and impacts on energy production. PID is a major degradation mode requiring modeling and correction techniques to improve PV efficiency and lifespan. However, PID models are often limited to specific conditions, posing applicability challenges. Characterization methods like visual inspection, current-voltage (I-V),various imaging methods, and resonance ultrasonic vibrations (RUV) enable effective evaluation of degradation effects on module properties. Analytical models facilitate study of particular degradation modes and prediction of lifetimes under diverse conditions. Key factors influencing PV degradation include weather variations, materials quality, design parameters, PID, and hot spots. Protective coatings, encapsulation improvements, and module cleaning help mitigate degradation and prolong lifespan. A comprehensive understanding of mechanisms through integrated experimentation and modeling is critical for performance improvements. By reviewing major degradation phenomena, characterization techniques, analytical models, and mitigation strategies, this study promotes PV durability and sustainability. Significant knowledge gaps persist regarding module behavior under varied climate conditions and synergistic effects between different degradation mechanisms. Extensive field testing across diverse environments paired with advanced multiphysics modeling can provide valuable insights to guide technological enhancements for robust, long-lasting PV systems worldwide.
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