Khan Abdullah, Ali Yousaf, Pamucar Dragan
School of Management Sciences, Ghulam Ishaq Khan (GIK) Institute of Engineering Sciences and Technology, Topi, Swabi, Pakistan.
Department of Operations Research and Statistics, Faculty of Organizational Sciences, University of Belgrade, Belgrade, Serbia.
Environ Sci Pollut Res Int. 2023 Apr;30(20):57378-57397. doi: 10.1007/s11356-023-26540-1. Epub 2023 Mar 25.
The ongoing rise in energy consumption imposed serious environmental challenges by using fossil fuels. The use of renewable energy sources is being increasingly explored as a potential answer for achieving sustainable energy production and minimizing adverse environmental effects. In the modern day, photovoltaic (PV) systems are viewed as a possible replacement for fossil fuels as a clean energy source. The installation of solar PV power plants requires vast land and huge investment. Therefore, it is necessary to select a suitable site to achieve maximum efficiency and low cost. A feasible location of photovoltaic (PV) system must consider certain criteria including land restrictions, access to roads, and transmission lines. This study analyzed ten factors grouped into four categories: geographic, technical, economic, and flood susceptibility criterion. The data of each factor is extracted from various governments, United Nation (UN), and non-government organizational bodies. Weights were assigned to ten factors by using a non-linear multi-criteria optimization technique called full consistency method (FUCOM). A geographic information system (GIS) software, ESRI ArcGIS pro, performs the weighted overlay analysis of the ten factors with weighted importance calculated by the above technique. A suitability map is created showing that a total of 2.02% of the country's area is suitable for PV power plants, which are further divided into five suitability classes. The results highlight the distribution of suitable sites for the construction of solar PV power plant throughout the country. A sensitivity analysis is performed to highlight the impact of the factor on the final suitability map. These findings can promote the future widespread development and application of solar energy resources.
能源消耗的持续增长因使用化石燃料而带来了严峻的环境挑战。人们越来越多地探索使用可再生能源，将其作为实现可持续能源生产和最大限度减少不利环境影响的潜在解决方案。在现代，光伏（PV）系统被视为一种可能替代化石燃料的清洁能源。太阳能光伏电站的建设需要广阔的土地和巨额投资。因此，有必要选择一个合适的地点以实现最高效率和低成本。光伏（PV）系统的可行选址必须考虑某些标准，包括土地限制、道路通达性和输电线路。本研究分析了分为四类的十个因素：地理、技术、经济和洪水易发性标准。每个因素的数据均从各国政府、联合国（UN）及非政府组织机构提取。通过使用一种名为完全一致性方法（FUCOM）的非线性多准则优化技术为这十个因素分配权重。一款地理信息系统（GIS）软件ESRI ArcGIS pro，对这十个因素进行加权叠加分析，权重重要性由上述技术计算得出。创建了一幅适宜性地图，显示该国总面积的2.02%适合建设光伏电站，这些区域进一步划分为五个适宜性等级。结果突出了全国范围内适合建设太阳能光伏电站的地点分布。进行了敏感性分析以突出各因素对最终适宜性地图的影响。这些研究结果能够推动未来太阳能资源的广泛开发与应用。
