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An all-sky radiative transfer method to predict optimal tilt and azimuth angle of a solar collector

机译:一种全天空辐射传输方法,用于预测太阳能集热器的最佳倾斜角和方位角

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摘要

This paper describes a radiative transfer method for calculating radiances in all-sky conditions and performing an integration over the view hemisphere of an arbitrary plane to calculate tilted irradiance. The advantage of this method is the combination of cloud parameters inside the radiative transfer model with a tilt procedure. For selected locations this method is applied with cloud, ozone, water vapour and aerosol input data to determine tilted irradiance, horizontal irradiance and optimal tilt angle. A validation is performed for horizontal and tilted irradiance against high-quality pyranometer data. For 27 sites around the world, the annual horizontal irradiation predicted by our model had a mean bias difference of +0.56% and a root-mean-squared difference of 6.69% compared to ground measurements. The difference between the annual irradiation estimates from our model and the measurements from one site that provides tilted irradiance were within ±6% for all orientations except the north-facing vertical plane. For European and African sites included in the validation, the optimal tilt from our model is typically a few degrees steeper than predictions from the popular PVGIS online tool. Our model is generally applicable to any location on the earth’s surface as the satellite cloud and atmosphere data and aerosol climatology data are available globally. Furthermore, all of the input data are standard variables in climate models and so this method can be used to predict tilted irradiance in future climate experiments.
机译:本文介绍了一种辐射转移方法,用于计算全天条件下的辐射并在任意平面的视半球上进行积分以计算倾斜的辐射。这种方法的优点是将辐射传递模型内部的云参数与倾斜过程结合在一起。对于选定的位置,此方法适用于云,臭氧,水蒸气和气溶胶输入数据,以确定倾斜的辐照度,水平辐照度和最佳倾斜角。针对水平和倾斜辐照度针对高质量总辐射表数据进行验证。与地面测量值相比,我们的模型预测的全球27个站点的年度水平辐射平均偏差偏差为+ 0.56%,均方根偏差为6.69%。我们模型的年度辐照估计值与一个提供倾斜辐照度的站点的测量值之间的差异,除朝北的垂直平面外,所有方向的偏差都在±6%之内。对于验证中包括的欧洲和非洲站点,我们模型的最佳倾斜度通常比流行的PVGIS在线工具的预测陡峭几度。我们的模型通常适用于地球表面上的任何位置,因为全球都有卫星云和大气数据以及气溶胶气候数据。此外,所有输入数据都是气候模型中的标准变量,因此该方法可用于预测未来气候实验中的倾斜辐照度。

著录项

  • 作者

    Smith CJ; Forster PM; Crook R;

  • 作者单位
  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
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