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EFFECTIVE SPECTRAL ALBEDO FROM SATELLITE DATA FOR BIFACIAL GAIN CALCULATIONS OF PV SYSTEMS

机译:来自PV系统的双环增益计算的卫星数据的有效光谱玻璃玻璃

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摘要

A key requirement for increasing the accuracy of energy yield modelling is the accurate estimation of the ground albedo value of a potential site. As most natural surfaces are not white, the colour as well as irradiance of reflected light needs to be considered. In this work we use spectral ground reflectance datasets from satellite data and ground-based stations in order to extract effective spectral albedo values and their uncertainties for bifacial PV system energy yield modelling. We demonstrate satellite spectral reflectance data as a realistic case for bifacial gain calculations and validate them with the ground-based data. An effective albedo calculation methodology is introduced, where the spectral albedo dataset, spectral irradiance and spectral response of the PV module type of the potential system are considered. Comparing 20 different locations and 3 different bifacial module types, we show that it is critically important to account for diurnal and seasonal variations in spectral albedo in bifacial gain calculations. We also show that there can be significant differences between front side and rear side spectral response in silicon bifacial PV modules which can lead to differences of greater than 20% in the effective value of ground reflected irradiance.
机译:提高能源屈服建模精度的关键要求是准确估计潜在部位的地面玻璃卫生价值。由于大多数自然表面不是白色的,需要考虑颜色以及反射光的辐照度。在这项工作中,我们使用来自卫星数据和基于地面站的光谱接地反射数据集,以提取有效的光谱反介质值及其对双脉冲光伏系统能源屈服建模的不确定性。我们将卫星光谱反射数据展示为基于基于地面数据的基线增益计算的现实情况。介绍了一种有效的Albedo计算方法,其中考虑了光谱反玻璃数据集,光谱辐照度和PV模块类型的潜在系统的光谱辐照度和光谱响应。比较20种不同的位置和3种不同的双层模块类型,我们表明,在双脉冲增益计算中的光谱反玻璃中的季节和季节变化是至关重要的。我们还表明,在硅双因子PV模块中,可以在接地反射辐照度的有效值中导致大于20%的差异在硅基脉冲PV模块中可能存在显着差异。

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