C. Monokroussos, Yating Zhang, Eleanor W. Lee, Frank Xu, Allen Zhou, Yichi Zhang, W. Herrmann
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引用次数: 1
摘要
由于光伏组件的产能与当地气候和环境条件密切相关,因此有必要对光伏组件在各种运行条件下的产能性能进行评估。本研究比较了2016年至2022年间亚太地区27家光伏组件制造商的商用晶体硅(c-Si)光伏组件(包括单c-Si Al BSF、单c-Si PERC、多晶(mc-Si) Al BSF和n型c-Si太阳能电池)。比较了几个测试项目,包括:(i)光致降解(LID), (ii)辐照-温度效率(GTE)矩阵,(iii)角响应和(iv)温度系数,分别根据IEC 61215-1, -1-1, -2和IEC 61853-1, -2进行了相应的测试。计算变异系数(CoV)来表达相似技术类型中模块间的差异。得益于碳硅基光伏组件的技术创新,新兴光伏组件在一些极端环境条件下,如低辐照度、高环境温度和高漫射辐照度比,具有更好的性能。CoV分析表明,同一技术模块之间的辐照依赖和热行为差异可能超过不同技术之间的差异。利用MeteoNorm在PVsyst中5个站点的逐时综合气象资料,对4组光伏组件的年比产进行了模拟和比较。总体而言,在同一光伏技术下,光伏组件比产率的最大差异可达7.34%,超过了不同光伏技术比产率的最大差异2.16%。
Energy performance of commercial c-Si PV modules in accordance with IEC 61853-1, -2 and impact on the annual specific yield
As energy yields of photovoltaic modules are highly related to local climate and ambient conditions, it is necessary to assess the energy-yield performance of PV modules under various operating conditions. This work compares commercial crystalline silicon (c-Si) based PV modules (including mono c-Si Al BSF, mono c-Si PERC, multi-crystalline (mc-Si) Al BSF, and n-type c-Si solar cells) sampled from 27 PV module manufacturers located in the Asia-Pacific region between 2016 and 2022. Several test items were compared including: (i) light-induced degradation (LID), (ii) irradiance-temperature-efficiency (GTE) matrix, (iii) angular response and (iv) temperature coefficients, which are correspondingly performed according to IEC 61215-1, -1-1, -2 and IEC 61853-1, -2. The coefficient of variation (CoV) was calculated to express the module-to-module differences within similar technology types. Benefiting from the technological innovation of c-Si based PV modules, emerging PV modules feature better performance in some extreme ambient conditions, such as low irradiance, high ambient temperature, and high ratio of diffuse irradiance. The analysis of CoV indicates that the difference of irradiance-dependent and thermal behavior between modules within the same technology may exceed the differences between different technologies. Using synthetic hourly meteorological data of 5 sites from MeteoNorm in PVsyst, the annual specific yield of four technology groups of PV modules were simulated and compared. Overall, it is shown that the maximum differences as large as 7.34% in terms of PV module's specific yield are expected within same PV technology, which exceeds the maximum difference of 2.16% obtained for specific yields of different PV technologies.