Assessment of Solar Photovoltaic Potential of Building Rooftops Using Photogrammetry and GIS

Ashmeera Dahal, Bimal K. Chhetri, Kshitij Raj Sharma, Mira Neupane
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引用次数: 1

Abstract

As conventional non-renewable energy is becoming increasingly scarce, the development of renewable energies, such as solar energy, has become a major priority in today's world. In this study, it has developed an approach to simulate solar radiation on rooftops of Paschimanchal Campus and estimate the solar photovoltaic (PV) potential using Photogrammetry and GIS techniques. The object-based method was used to extract and classify buildings using very high-resolution data: orthophoto, the UAV-derived Digital Surface Model, and Digital Terrain Model raster layers. For more accurate estimation of solar panel installations, the evaluation of solar radiation is essential and the amount of solar radiation that was converted into solar PV potential depends upon the technical characteristics of the panel (technology used: monocrystalline or polycrystalline). Subsequently, the evaluated cost of solar panel installation was compared to the cost of grid-based electricity of the study area. The result obtained shows that 18 rooftops of the buildings are the most suitable place for solar panel installation and their usable area is 4303.67m². 32 For polycrystalline and monocrystalline technologies, the annual PV power generation in the study area is 868 MWh/ yr and 1274 MWh/yr respectively. It was found that 1428.42m² of the suitable area was enough to fulfill the yearly demand of Paschimanchal Campus. For polycrystalline technologies, around 876 panels costing NRS.1,57,68,000 are required. The cost analysis of 10 years concludes solar energy will be cheaper than grid-based electricity by NRS.1,04,10,785.
基于摄影测量和GIS的建筑屋顶太阳能光伏潜力评价
随着传统不可再生能源的日益匮乏,开发太阳能等可再生能源已成为当今世界的一大重点。在这项研究中,它开发了一种方法来模拟Paschimanchal校园屋顶上的太阳辐射,并利用摄影测量和GIS技术估计太阳能光伏(PV)的潜力。使用基于目标的方法提取和分类建筑物,使用非常高分辨率的数据:正射影像,无人机衍生的数字表面模型和数字地形模型光栅层。为了更准确地估计太阳能电池板装置,评估太阳辐射是必不可少的,转化为太阳能光伏发电潜力的太阳辐射量取决于电池板的技术特性(所使用的技术:单晶或多晶)。随后,将评估的太阳能电池板安装成本与研究区域的电网电力成本进行比较。结果表明,18个屋顶是最适合安装太阳能电池板的地方,其使用面积为4303.67m²。32对于多晶和单晶技术,研究区年光伏发电量分别为868兆瓦时/年和1274兆瓦时/年。结果表明,1428.42m²的适宜面积足以满足Paschimanchal校区的年需求量。对于多晶技术,大约需要876块面板,成本为1,57,68,000卢比。10年的成本分析得出的结论是,太阳能将比基于电网的电力便宜1,04,10,785英镑。
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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