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Energy Yield Prediction of Photovoltaic Modules based on Advanced Indoor Characterisation

机译:基于高级室内表征的光伏模块能量产量预测

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This paper presents initial results from the first large-scale application of a measurement matrix-type energy yield prediction methodology (such as found in the IEC 61853-1 standard) to multiple photovoltaic technologies in a comparative assessment. The paper specifically reports on the modules of the first phase (of three) of the project. The methodology of the indoor characterisation and results of the first 4 module technologies are presented. These data are then applied to time series of weather data for a number of locations, demonstrating the quantification of site-to-site variation in operational efficiency of the different technologies. It is observed that even within technology families, there can be variation in annual specific energy yields of several percent. This is driven by differences that are identifiable from indoor measurements and thus the approach offers an efficient route to module selection for installations.
机译:本文介绍了在比较评估中以多种光伏技术的第一次大规模应用的第一次大规模应用的初始结果。本文特别报告了项目的第一阶段(三个)的模块。提出了前4个模块技术的室内表征和结果的方法。然后将这些数据应用于许多位置的天气数据的时间序列,展示了不同技术的运行效率的现场对现场变化的量化。观察到,即使在技术家庭内,也可以在年度特定能源产量的变化数百分点。这是由室内测量值可识别的差异驱动,因此该方法提供了有效的模块选择路由。

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