屋顶光伏太阳能视野因素分析

Y. Nassar, Said O. Belhaj, Samer Alsadi, H. El-khozondar
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引用次数: 3

摘要

在太阳能光伏领域中,太阳能光伏板通常依次平行排列。与气象气象站的测量结果和从太阳辐射数据库获得的数据相比,这种安排引入了整个野外太阳辐照度分布的变化。这是由于太阳能光伏场的行与单个参考表面之间的视角因素的差异,以及后排和分隔行空间的阴影。这些现象结合起来会降低太阳能光伏场的能量产量。准确估计太阳辐射对太阳场的影响,需要了解前一行观测因子的天空、地面和后表面,并估计行阴影所占的时间和空间。先前的文献已经使用二维(2D)技术解决了这个问题,例如交叉串方法,本研究证明该方法在屋顶太阳能光伏领域是不准确的。本研究采用一种新颖的三维(3D)分析和数值分析方法,利用solar - gis获取的2007-2020年每小时太阳辐照度数据,包括全球、光束和天空漫射辐照度在水平面上的分量,来确定与太阳场相关的视图因子。该研究采用各向同性和各向异性的变换分析,确定了不同太阳能电池板倾斜角度和行间距下入射到太阳场上的太阳辐照度。
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Analysis of the View Factors in Rooftop PV Solar
In solar PV fields, solar photovoltaic panels are typically arranged in parallel rows one after the other. This arrangement introduces variations in the distribution of solar irradiance over the entire field, compared to measurements made at meteorological weather stations and data obtained from solar radiation databases. This is due to the difference in the view factors between the rows of the solar PV field and a single reference surface, as well as the presence of shade on rear rows and in the space separating the rows. These phenomena combined will reduce the energy yield of a solar PV field. Accurate estimation of solar radiation on solar fields requires knowledge of the sky, ground, and rear surface of the preceding row view factors, and an estimation of the time and space occupied by the row’s shadow. Prior literature has addressed this issue using two-dimensional (2D) techniques such as Crossed-Strings Method, which this study proved to be inaccurate particularly in the case of Rooftop solar PV fields. This study uses a novel three-dimensional (3D) analytical and numerical analysis to determine the view factors associated with solar fields using hourly solar irradiance data acquired from Solar-GIS for the period 2007-2020, including global, beam, and sky diffuse irradiance components on horizontal plane. The study uses both isotropic and anisotropic transposition analyses to determine solar irradiance incident on the solar field with varying tilt angles of solar panels and distance separating the rows.
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