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Energy Yield Prediction of Photovoltaic Modules based on Advanced Indoor Characterisation

机译:基于高级室内特性的光伏组件发电量预测

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摘要

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首次将测量矩阵式能量产率预测方法(例如在IEC 61853-1标准中发现)大规模应用于多种光伏技术的初步结果。该文件专门报告了该项目第一阶段(三个阶段)的模块。介绍了室内表征的方法和前四种模块技术的结果。然后,将这些数据应用于多个位置的天气数据的时间序列,这证明了不同技术的运营效率在站点之间变化的量化。可以观察到,即使在技术家族中,每年的单位比能源产量也可能有百分之几的变化。这是由室内测量可识别的差异驱动的,因此该方法为安装模块的选择提供了有效的途径。

著录项

  • 来源
  • 会议地点 Newcastle upon Tyne(GB);Newcastle upon Tyne(GB);Newcastle upon Tyne(GB)
  • 作者

    T.R. Betts; R. Gottschalg;

  • 作者单位

    Centre for Renewable Energy Systems Technology (CREST), School of Electronic, Electrical and Systems Engineering, Loughborough University, LE11 3TU, UK;

    Centre for Renewable Energy Systems Technology (CREST), School of Electronic, Electrical and Systems Engineering, Loughborough University, LE11 3TU, UK;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 太阳能技术;太阳能技术;
  • 关键词

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