Faculty of Engineering, Department of Geomatics Engineering, Erciyes University, 38039, Kayseri, Turkey.
Environ Sci Pollut Res Int. 2021 Oct;28(40):57232-57247. doi: 10.1007/s11356-021-14622-x. Epub 2021 Jun 4.
The fact that traditional energy sources have limited reserves and have a negative impact on the environment increases the demand for renewable energy sources. Environmental, economic, and sustainability concerns have led researchers, investors, and policy makers to seek the potential of renewable energy sources. Suitable site selection for new-generation renewable resources is vital in large-scale projects. In this paper, geographic information systems and multicriteria decision-making (MCDM) methods were integrated to exploit and construct the best location for solar PV power plants in Kayseri, Turkey. Three main, twelve subcriteria, and their indicators related to the study area were determined. The rank-based (i.e., rank sum, rank reciprocal weights, and rank order centroid weights) and analytical hierarchical process (AHP) MCDM methods were used to determine the weights of the criteria. Thirty-three existing solar PV power plants were used to verify the success of MCDM methods. Four MCDM methods yielded effective results according to the proposed criteria, and most of the existing solar PV power plants match the convenient regions on the suitability map provided by geographic information systems-based rank reciprocal method. In addition, according to the experimental study, Sarız, Tomarza, and Incesu districts of Kayseri were the most suitable sites.
由于传统能源储备有限，并且对环境有负面影响，因此对可再生能源的需求不断增加。环境、经济和可持续性问题促使研究人员、投资者和政策制定者寻求可再生能源的潜力。在大型项目中，为新一代可再生资源选择合适的场址至关重要。本文结合地理信息系统和多准则决策（MCDM）方法，在土耳其开塞利地区开发和构建太阳能光伏电站的最佳位置。确定了与研究区域相关的三个主要、十二个子标准及其指标。基于排名的（即排名总和、排名倒数权重和排名顺序质心权重）和层次分析法（AHP）MCDM 方法用于确定标准的权重。使用 33 个现有的太阳能光伏电站来验证 MCDM 方法的成功。根据提出的标准，四种 MCDM 方法得出了有效的结果，并且大多数现有的太阳能光伏电站与基于地理信息系统的排名倒数方法提供的适宜性地图上的便利区域相匹配。此外，根据实验研究，开塞利的 Sarız、Tomarza 和 Incesu 区是最适宜的地点。
