Assessment of the solar energy potential of rooftops using LiDAR datasets and GIS based approach

IF 3.1 Q2 ENGINEERING, GEOLOGICAL International Journal of Engineering and Geosciences Pub Date : 2022-09-22 DOI:10.26833/ijeg.1112274
Vancho Adjiski, Gordana Kaplan, Stojanče Mijalkovski
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引用次数: 1

Abstract

The importance of solar energy as a global energy source is expected to grow. Solar power's future looks bright, especially with an aged and deteriorating energy grid and rising fossil fuel prices. More precise methods for assessment of solar capacity are needed as more homes and companies investigate the possibility of small-scale photovoltaic (PV) solar installations. In this study, a spatial solar energy PV potential assessment method based on the combination of LiDAR (Light Detection and Ranging) datasets and GIS (Geographic Information System) is proposed. The proposed methodology is applied to an area in the capital city of Skopje in N. Macedonia, from where the results of the possible annual energy output of PV systems for the selected rooftops were presented. The results of this study are crucial for financial and urban planning, policy formulation for future energy projects and also allows to analyze different mechanisms to promote PV installations on publicly available rooftops.
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利用激光雷达数据集和基于GIS的方法评估屋顶太阳能潜力
预计太阳能作为全球能源的重要性将会增加。太阳能的未来看起来很光明,特别是在能源网络老化和恶化以及化石燃料价格上涨的情况下。随着越来越多的家庭和公司调查小型光伏(PV)太阳能装置的可能性,需要更精确的评估太阳能容量的方法。本文提出了一种基于LiDAR(光探测与测距)数据集和GIS(地理信息系统)相结合的空间太阳能光伏潜力评价方法。拟议的方法应用于马其顿共和国首都斯科普里的一个地区,从那里提出了选定屋顶的光伏系统可能的年度能源输出结果。这项研究的结果对财政和城市规划、未来能源项目的政策制定至关重要,也允许分析促进在公共屋顶上安装光伏的不同机制。
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
12
审稿时长
30 weeks
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