一个空间决策框架使用中性 VIKOR 在土耳其的风能投资
1Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Recep Tayyip Erdoğan University, Zihni Derin Campus, 53100, Rize, Turkey. hasan.eroglu@erdogan.edu.tr.
Scientific reports
|September 29, 2025
概括
这项研究引入了一种新的模型,用于优先考虑土耳其的风能投资,整合专家见解和空间数据. 巴利克西尔,查纳卡莱和伊兹米尔成为风力发电发展的顶级地区.
科学领域:
- 可再生能源系统可再生能源系统
- 空间规划 空间规划 空间规划
- 决策分析 决策分析
背景情况:
- 越来越多的清洁能源需求和减少碳排放需要在土耳其战略风电扩张.
- 鉴定最佳的风能投资地点是复杂的,因为技术,空间,经济因素和不确定性.
- 现有的地理信息系统 (GIS) 和多标准决策 (MCDM) 方法往往缺乏综合的专家判断和不确定性意识.
研究的目的:
- 开发一个新的,不确定性意识的投资优先级模型,用于评估土耳其的区域风能潜力.
- 将GIS与Neutrosophic-VIKOR方法集成在一起,并纳入专家判断,以进行可靠的地点选择.
- 为国家风能规划和投资提供可操作的见解.
主要方法:
- 开发了一种结合地理信息系统 (GIS) 和Neutrosophic-VIKOR方法的新型模型.
- 评估了五个标准:风力潜力,土地成本,人口密度 (能源消耗),现有风力发电场和专家判断.
- 专家输入使用单值中性学语文尺度,专家权重通过基于相似性的方法来确定.
主要成果:
- 优先级指数 (PI) 确定了巴利克西尔,查纳卡莱和伊兹米尔作为前三大投资地区.
- 由于现有的基础设施和消费水平,伊斯坦布尔和萨姆逊也显示出高潜力.
- 该模型成功地将空间数据与不确定的专家意见集成为区域优先级.
结论:
- 拟议的框架为国家风能规划提供了一个可复制的,不确定性意识的工具.
- 将基于专家的中性学模型与空间分析相结合,解决了可再生能源地点选择中的方法差距.
- 该研究为投资者和政策制定者提供了有价值的见解,旨在实现高效和平衡的风能发展.
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