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基于地理信息系统的土耳其光伏电站选址分析投资系统。

Geographic information system-based investment system for photovoltaic power plants location analysis in Turkey.

机构信息

Department of Survey, Project and Environment, 13th Region, General Directorate of Highways, 07090, Antalya, Turkey.

, Orhantepe Mahallesi, Tekel Caddesi, Istanbul, Turkey.

出版信息

Environ Monit Assess. 2020 Apr 19;192(5):297. doi: 10.1007/s10661-020-08267-5.

DOI:10.1007/s10661-020-08267-5
PMID:32307588
Abstract

The motivation of this research, development, demonstration, deployment, and diffusion (RD&D) study is to present the progress of designing the GIS-based location selection module of autonomous investment decision support system and its experimental application for photovoltaic power plants (PVPPs) in Antalya, Burdur, and Isparta planning region Turkey. The other motivation of this RD&D study is to start investigating in combinations the applicability and usability of weighted linear combination with 4 subjective weighting approaches (rank sum weight method (RS), inverse or reciprocal weights method (RR), rank order centroid (ROC), point allocation (PA)) for 5 main criteria, 14 sub-criteria, and 79 value ranges. The results show that 38.48% of the planning region is unsuitable, 61.52% is suitable. Only 2.07% of this region is very highly suitable according to RS. 7.13%, 9.22%, and 5.58% are respectively very highly suitable according to RR, ROC, and PA. Similarities between RS, RR, ROC, and PA methods are presented such as RS-RR: 0.7834, RS-ROC: 0.8510, and RS-PA: 0.6384 with covariance and correlation analysis. A backward-looking performance verification and validation analysis is also performed with 7 PVPPs for only 4 decisive success factors (capacity factor, annual energy/land use, project cost/capacity, project cost/energy). This study is thus able to evaluate the optimal locations for future investments, as well as the suitability conditions of the available investments. This study will contribute to provide some useful recommendations for decision makers to identify and assess the hotspots which are suitable for PVPPs in the planning region.

摘要

本研究旨在介绍基于 GIS 的自主投资决策支持系统选址模块的设计进展及其在土耳其安塔利亚、布尔杜尔和伊斯帕尔塔规划区的光伏电站(PVPP)的实验应用。本 RD&D 研究的另一个动机是开始结合加权线性组合与 4 种主观权重方法(秩和权重法(RS)、倒数或倒数权重法(RR)、秩序质心法(ROC)、点分配法(PA))对 5 个主要标准、14 个子标准和 79 个价值范围的适用性和可用性进行调查。结果表明,规划区 38.48%的区域不适宜,61.52%的区域适宜。仅根据 RS,该区域有 2.07%非常适宜。根据 RR、ROC 和 PA,分别有 7.13%、9.22%和 5.58%非常适宜。RS、RR、ROC 和 PA 方法之间存在相似性,如 RS-RR:0.7834,RS-RR:0.8510,RS-PA:0.6384,通过协方差和相关性分析。还对仅 4 个决定性成功因素(容量系数、年能量/土地利用、项目成本/容量、项目成本/能量)的 7 个 PVPP 进行了回溯性能验证和验证分析。因此,本研究能够评估未来投资的最佳地点,以及现有投资的适宜性条件。本研究将有助于为决策者提供一些有用的建议,以识别和评估规划区中适合 PVPP 的热点。

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