Application of GIS tools to the improvement of energy supply in PV rooftop installations

C. Armenta-Déu, Félix Jesús Segura-Muñoz, Francisco José Domínguez-Bravo
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Abstract

Present work studies the energy supply from photovoltaic (PV) installations in industrial conglomerates using the rooftops as a surface to install the PV panels. The study is based on a modelling procedure that takes into account the specific characteristics of the rooftop, shape, size, azimuth and inclination, using GIS tools to identify these parameters for every single rooftop. Modelling has been developed modifying the tilt angle of the PV panel for vertical and horizontal PV panel layout and analyzing which one of the two configurations generates more energy. The study has been extended for tilt angles from the horizontal plane to the latitude of the location. The methodology uses a previous study in determining the optimum number of PV panels that can be placed on the rooftop. Shading effects have been taken into account for energy supply calculation, resulting in a variation with the tilt angle of the PV panel that depends on the range of the tilt angle; three ranges have been identified, low (0≤β/ϕ≤0.3), medium (0.3≤β/ϕ≤0.8)and high (0.8≤β/ϕ≤1). Maximum variation, 1.6%, has been observed in the low range, while for the high range energy supply does not seem there is no blocking to depend on the tilt angle. The results show that the modelling matches theoretical predictions within accuracy higher than 99.4%. Modelling has also been developed for two different configurations of the PV panel positioning, vertical and horizontal. Tests have been applied to the largest and smallest rooftop; the similar trend in the evolution and the close values of the energy supply with tilt angle proves that the methodology can be applied to any of the industrial building rooftops. The results of the modelling show that there is no much difference between the two configurations; however, horizontal configuration works better for larger areas while vertical one is more suitable for smaller areas. Additional row has been added to the layout provided the shadow is out of rooftop bounds. The increase of the energy is not very relevant, barely 1% for the vertical configuration and 0.2% for the horizontal one.
GIS工具在改善光伏屋顶装置能源供应中的应用
目前的工作是研究工业集团使用屋顶作为安装光伏板的表面的光伏(PV)装置的能源供应。该研究基于建模程序,该程序考虑了屋顶的具体特征,形状、大小、方位角和倾角,并使用GIS工具识别每个屋顶的这些参数。针对垂直和水平两种布局方式,建立了调整光伏板倾斜角度的模型,并分析了两种布局方式中哪一种产生的能量更大。该研究已扩展为从水平面到位置纬度的倾斜角。该方法使用了先前的研究来确定可以放置在屋顶上的PV板的最佳数量。在能源供应计算中考虑了遮阳效应,导致光伏板的倾角随倾角的变化而变化,这取决于倾角的范围;已经确定了三个范围,低(0≤β/ φ≤0.3),中(0.3≤β/ φ≤0.8)和高(0.8≤β/ φ≤1)。最大的变化,1.6%,已经观察到在低范围内,而对于高范围的能量供应似乎没有阻塞依赖于倾斜角度。结果表明,该模型与理论预测吻合,精度在99.4%以上。建模也开发了两种不同配置的光伏板定位,垂直和水平。对最大和最小的屋顶进行了测试;相似的演化趋势和倾斜角供能的接近值证明了该方法可以适用于任何工业建筑屋顶。模拟结果表明,两种构型之间没有太大差异;但是,水平配置更适合较大的区域,而垂直配置更适合较小的区域。在布局中添加了额外的行,提供阴影超出屋顶边界。能量的增加并不是很相关,垂直结构的能量增加仅为1%,水平结构的能量增加为0.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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