基于多标准选址的土耳其埃尔祖鲁姆风能潜力和风力发电厂设施的最佳选址研究

IF 4.3 3区 工程技术 Q2 ENERGY & FUELS
Gökhan Şahin, Ahmet Koç, Sülem Şenyiğit Doğan, Sabir Rustemli, Wilfried G. J. H. M. van Sark
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引用次数: 0

摘要

风能是一种可再生的、可持续的、本地化的能源。这些特点促使各国采用风力涡轮机,许多国家采用激励措施来提高这些系统的装机容量。风力涡轮机安装位置的选择对于优化涡轮机性能和增加装机容量至关重要。这项研究考察了埃尔祖鲁姆省20个不同的地方,作为发展风力发电装置的潜在地点。本研究采用基于地理信息的多标准决策(MCDM)方法和地理信息系统(GIS),确定了土耳其埃尔祖鲁姆风力发电设施发展的潜在地点。该规划综合了地形、结构、气候和环境因素,包括风速、土地覆盖分类、坡度、与土地和变电站的接近程度、交通网络、社区、断层线、电网和侵蚀区。采用加权过程问卷和评估标准图,采用层次分析法(AHP)创建了风电场适宜性图。结果图显示,83.052%的面积为有利区,15.858%的面积为最有利区。本研究首次突出了侵蚀标准。本调查采用了17项标准。目的是利用这些特征在更合适的地点找到风力发电设施。在地区级评价风电场适宜性图中,İspir省占据首位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring of Wind Energy Potential and Optimal Site Selection for Wind Energy Plants Installations in Erzurum/Turkey Based on Multicriteria Site Selection

Exploring of Wind Energy Potential and Optimal Site Selection for Wind Energy Plants Installations in Erzurum/Turkey Based on Multicriteria Site Selection

Wind energy is a renewable, sustainable, and localized power source. These features motivate countries to adopt wind turbines, with many nations employing incentives to enhance the installed capacity of these systems. The selection of locations for wind turbine installations is crucial for optimizing turbine performance and augmenting installed capacity. This study examined 20 distinct places in the province of Erzurum as potential locations for the development of wind power installations. This research identified prospective locations for the development of wind power facilities in Erzurum, Turkey, employing a geographic information-based multicriteria decision-making (MCDM) methodology and a geographic information system (GIS). The plan incorporated topographical, structural, climatic, and environmental factors, including wind velocity, land cover classification, gradient, closeness to land and substations, transportation networks, communities, fault lines, power grids, and erosion areas. A wind farm suitability map was created using a weighted process questionnaire and assessed criteria maps, employing the analytical hierarchy process (AHP). The result map shows that 83.052% of the total area is designated as favorable, while 15.858% is rated as most favorable. This study highlighted the erosion criterion for the first time. This investigation utilized 17 criteria. The aim is to locate a wind power facility in a more suitable site by employing these characteristics. In district-level evaluations of the wind power plant suitability map, İspir province occupies the top position.

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来源期刊
International Journal of Energy Research
International Journal of Energy Research 工程技术-核科学技术
CiteScore
9.80
自引率
8.70%
发文量
1170
审稿时长
3.1 months
期刊介绍: The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability. IJER is concerned with the development and exploitation of both advanced traditional and new energy sources, systems, technologies and applications. Interdisciplinary subjects in the area of novel energy systems and applications are also encouraged. High-quality research papers are solicited in, but are not limited to, the following areas with innovative and novel contents: -Biofuels and alternatives -Carbon capturing and storage technologies -Clean coal technologies -Energy conversion, conservation and management -Energy storage -Energy systems -Hybrid/combined/integrated energy systems for multi-generation -Hydrogen energy and fuel cells -Hydrogen production technologies -Micro- and nano-energy systems and technologies -Nuclear energy -Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) -Smart energy system
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