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商用TOPCon光伏组件在加速老化测试中的比较
Comparison of Commercial TOPCon PV Modules in Accelerated Aging Tests
| 作者 | Paul Gebhardt · Simone Marletti · Jochen Markert · Ulli Kräling · Mai Tu · Ingrid Haedrich |
| 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 工商业光伏 可靠性分析 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 隧穿氧化层钝化接触电池 光伏组件 电气性能 老化测试 技术发展 |
语言:
中文摘要
尽管存在可靠性方面的担忧,隧穿氧化层钝化接触(TOPCon)技术正成为主流光伏电池技术。本文对五家不同制造商的商用TOPCon光伏组件进行了多种电学表征和加速老化测试,模拟大型光伏电站的选型过程。研究深入比较了组件的电性能(能量评级),为当前TOPCon组件提供了性能基准。老化结果验证了湿度侵入导致的已知退化机制;紫外老化中还发现显著退化(60 kWh/m²后达-12%)并在湿冻试验后出现恢复的新现象,可能影响认证测试(IEC61730-2,序列B)结果。机械载荷测试暴露出部分组件在尺寸、边框高度和玻璃特性方面的结构弱点。结果表明需加强针对性测试与技术优化。
English Abstract
Tunnel oxide passivated contact (TOPCon) is set to become the new mainstream cell technology despite pending reliability concerns. This work compares commercially available TOPCon photovoltaic (PV) module types from five different manufacturers in a variety of electrical characterization and accelerated aging tests. This case study represents a selection process of PV modules for larger PV installations. Therefore, the work features an in-depth comparison of the electrical performance (energy rating) that can serve as a reference for state-of-the-art TOPCon modules. The aging results confirm previously reported degradation mechanisms of the TOPCon technology due to humidity ingress. In the case of UV aging, a new pattern of strong degradation (up to –12% after 60 kWh/m2;) and subsequent recovery after humidity freeze test is presented, which could have implications on the results of certification tests (IEC61730-2, Sequence B). Though not directly connected to the TOPCon cell technology, the mechanical load tests revealed weaknesses of several module types, related to module dimensions, frame height, and glass properties. Based on the results, the necessity for more focused testing and technological development is highlighted.
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SunView 深度解读
该TOPCon组件可靠性研究对阳光电源SG系列光伏逆变器和iSolarCloud智能运维平台具有重要应用价值。研究揭示的湿度侵入退化机制和UV老化后的恢复现象,可指导SG逆变器优化MPPT算法,针对TOPCon组件特性调整功率跟踪策略,避免在组件性能波动期误判。机械载荷测试暴露的结构弱点数据,可集成到iSolarCloud智能诊断模块,建立TOPCon组件专属退化模型,实现预测性维护。研究提供的能量评级基准,有助于PowerTitan储能系统在大型光伏电站项目中优化组件选型策略,提升系统全生命周期可靠性和投资回报率。