电动汽车太阳能充电站最佳选址方法研究

IF 2.1 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Smart Cities Pub Date : 2023-05-10 DOI:10.1049/smc2.12058
Sinem Hisoglu, Anu Tuominen, Aapo Huovila
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引用次数: 2

摘要

电动汽车(ev)被视为减少交通相关温室气体排放的解决方案。普及电动汽车的一个主要障碍是充电站数量不足。此外,为充电站提供可再生能源仍处于起步阶段。选择充电站的最佳位置对于为用户提供最好的服务和最大限度地利用可再生能源非常重要。在此背景下,本研究利用地理信息系统(GIS)和层次分析法(AHP),将太阳能电动汽车充电站(EVCS)选址研究与太阳能发电场选址研究相结合,提出了一种太阳能电动汽车充电站选址方法。该研究根据之前的太阳能和EVCS选址研究和专家意见确定了最重要的选址标准。根据调查结果,10个最重要的标准是:电力供应、太阳能潜力、太阳能电池板安装成本、电动汽车数量、运营和管理成本、土地成本、距离道路/高速公路的距离、距离现有电动汽车中心的距离、安装的工业能力以及距离人口密度高的中心的距离。采用层次分析法确定各指标的重要度权重。研究结果有望使城市规划者、决策者和设计太阳能供电的电动汽车充电基础设施的研究人员受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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An approach for selecting optimal locations for electric vehicle solar charging stations

Electric vehicles (EVs) are seen as a solution to reduce transport-related greenhouse gas emissions. A major obstacle to wider adoption is the insufficient amount of charging stations. Furthermore, supplying charging stations with renewable energy is still in its infancy. The selection of optimal locations for charging stations is important to best serve the users and maximise the possibilities of renewable energy use. Given this background, this study developed an approach for Solar-supplied Electric Vehicle Charging Station (EVCS) location selection by combining EVCS and solar farm site selection studies using Geographical Information System (GIS) and Analytic Hierarchy Process (AHP). The study determined the most important criteria for site selection based on previous solar and EVCS site selection studies and expert opinions. The 10 most important criteria according to the survey results were: availability of power, solar energy potential, solar panel installation cost, number of EVs, operation and management costs, land cost, distance from roads/highways, distance from current EVCSs, industrial capability of installation and distance to high population density centres. The importance weights of these criteria were assigned using AHP method. The findings are expected to benefit urban planners, decision-makers, and researchers designing solar-supplied EV charging infrastructure.

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来源期刊
IET Smart Cities
IET Smart Cities Social Sciences-Urban Studies
CiteScore
7.70
自引率
3.20%
发文量
25
审稿时长
21 weeks
期刊最新文献
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