Development and Testing of the PVSPEC Model of Photovoltaic Spectral Mismatch Factor

S. Pelland, C. Beswick, D. Thevenard, Alexandre Côté, Abhijeet Pai, Y. Poissant
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引用次数: 2

Abstract

The PVSPEC model of spectral mismatch factor (SMM) for photovoltaic modules was developed using spectral irradiance and other meteorological data from eight locations. PVSPEC depends on clear sky index and absolute air mass. Cross-validation was used to evaluate model performance: the model was trained on data from seven locations and tested on data from the remaining location, going through all permutations. Root mean square errors on SMM were 3.2% on average, while absolute errors on long-term spectral effects were 0.8% on average. PVSPEC outperformed existing models developed by First Solar and by the European Commission's Joint Research Center.
光伏光谱失配系数PVSPEC模型的开发与测试
利用8个地点的光谱辐照度和其他气象数据,建立了光伏组件光谱失配因子(SMM)的PVSPEC模型。PVSPEC取决于晴空指数和绝对空气质量。交叉验证用于评估模型性能:模型在七个位置的数据上进行训练,并在其余位置的数据上进行测试,经历所有排列。SMM的均方根误差平均为3.2%,而长期光谱效应的绝对误差平均为0.8%。PVSPEC的性能优于第一太阳能公司和欧盟委员会联合研究中心开发的现有模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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