Technical, economic, and environmental analysis to define the conditions for the implementation of charge stations, a case study in the city of Azogues - Ecuador

Q4 Energy
E. Barragan, E. García, C. Minchala, E. Zalamea
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引用次数: 0

Abstract

Reducing environmental pollution caused by traditional mobility solutions, such as combustion vehicles, requires a deep dive into sustainable mobility. Consequently, promoting electric vehicles (EVs) constitutes a long-hanging fruit for establishing a route map for decarbonizing city mobility. Nevertheless, several tasks require urgent attention to allow EV technology to deploy in cities. For instance, optimal locations of charging stations for EVs by considering a multicriteria approach are urgently required. This work studies the most feasible alternatives for locating and implementing EV chargers (EVC) in Azogues, Ecuador. This study applies Promethee multicriteria method, considering three different location alternatives in the city and four criteria that will be divided into ten subcriteria for the analysis. First, the multi-objective function´s weighting factors were established using three weighting methods: equal weighting, point allocation, and critical weighting. Once the matrix of sub-criteria with their weights was established, Visual Promethee, which works with Promethee II, was applied to establish the optimal candidate site. The results of this optimization analysis indicate an optimal location for the EVC.
通过技术、经济和环境分析来确定充电站实施的条件,以厄瓜多尔亚佐格市为例进行研究
减少传统交通解决方案(如燃烧车辆)造成的环境污染,需要深入研究可持续交通。因此,推广电动汽车(ev)是建立城市交通脱碳路线图的长期目标。然而,为了让电动汽车技术在城市中部署,有几个任务需要迫切关注。例如,迫切需要考虑多标准方法来优化电动汽车充电站的位置。这项工作研究了在厄瓜多尔Azogues定位和实施电动汽车充电器(EVC)的最可行的替代方案。本研究采用Promethee多标准方法,考虑了城市中三个不同的位置选择和四个标准,并将其分为十个子标准进行分析。首先,采用等权法、点分配法和临界权法建立多目标函数的权重因子;在确定了子标准及其权重矩阵后,应用Visual Promethee软件与Promethee II协同工作,确定了最优候选地点。优化分析结果表明了EVC的最优位置。
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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来源期刊
Renewable Energy and Power Quality Journal
Renewable Energy and Power Quality Journal Energy-Energy Engineering and Power Technology
CiteScore
0.70
自引率
0.00%
发文量
147
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