Drivers’ range anxiety and cost of new EV chargers in Amsterdam: a scenario-based optimization approach

IF 2.7 Q1 GEOGRAPHY Annals of GIS Pub Date : 2020-11-18 DOI:10.1080/19475683.2020.1848921
B. Mashhoodi, N. H. V. D. Blij
{"title":"Drivers’ range anxiety and cost of new EV chargers in Amsterdam: a scenario-based optimization approach","authors":"B. Mashhoodi, N. H. V. D. Blij","doi":"10.1080/19475683.2020.1848921","DOIUrl":null,"url":null,"abstract":"ABSTRACT Due to the sharp growth in the adaptation of electric vehicles (EV) in the Netherlands and the objectives of the Dutch Climate Accord is to encourage electric mobility, in the coming decades a substantial number of new EV charging facilities needs to be provided. Efficient planning of EV charging infrastructure is coupled with the notion of range anxiety, which is likely to be severely high in case of soon-to-be EV drivers. This study aims to estimate the cost of developing a new charging infrastructure under five scenarios of range anxiety in Amsterdam East. Employing a Linear Integer Programming optimization model, on the basis of geographic data on car registration, existing EV chargers, and electricity substations, it is obtained that if drivers use 90% of their battery before using a charging facility, the existing charging infrastructure needs to be expanded by only 31% to accommodate almost seven times larger number of EVs – the threshold set by the European Union (EU) legislation on the deployment of alternative fuel infrastructure. If drivers use only 30% of the batteries; however, an increase of 167% in infrastructure is inevitable (accounting for almost five million euro of cost). Second, at any point along the range anxiety spectrum, if the interval between charging session increases for 1 day, the overall cost decreases by more than 30%. These findings are discussed, and two policy approaches are proposed: (1) information technology approach; (2) demand-response approach, on the basis of EU legislation on energy efficiency and deployment of alternative fuel infrastructure.","PeriodicalId":46270,"journal":{"name":"Annals of GIS","volume":"124 1","pages":"87 - 98"},"PeriodicalIF":2.7000,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of GIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/19475683.2020.1848921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 13

Abstract

ABSTRACT Due to the sharp growth in the adaptation of electric vehicles (EV) in the Netherlands and the objectives of the Dutch Climate Accord is to encourage electric mobility, in the coming decades a substantial number of new EV charging facilities needs to be provided. Efficient planning of EV charging infrastructure is coupled with the notion of range anxiety, which is likely to be severely high in case of soon-to-be EV drivers. This study aims to estimate the cost of developing a new charging infrastructure under five scenarios of range anxiety in Amsterdam East. Employing a Linear Integer Programming optimization model, on the basis of geographic data on car registration, existing EV chargers, and electricity substations, it is obtained that if drivers use 90% of their battery before using a charging facility, the existing charging infrastructure needs to be expanded by only 31% to accommodate almost seven times larger number of EVs – the threshold set by the European Union (EU) legislation on the deployment of alternative fuel infrastructure. If drivers use only 30% of the batteries; however, an increase of 167% in infrastructure is inevitable (accounting for almost five million euro of cost). Second, at any point along the range anxiety spectrum, if the interval between charging session increases for 1 day, the overall cost decreases by more than 30%. These findings are discussed, and two policy approaches are proposed: (1) information technology approach; (2) demand-response approach, on the basis of EU legislation on energy efficiency and deployment of alternative fuel infrastructure.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
驾驶者里程焦虑和阿姆斯特丹新电动汽车充电器成本:基于场景的优化方法
由于荷兰电动汽车(EV)适应的急剧增长以及荷兰气候协议的目标是鼓励电动交通,在未来几十年需要提供大量新的电动汽车充电设施。电动汽车充电基础设施的有效规划与里程焦虑的概念相结合,对于即将成为电动汽车司机的人来说,里程焦虑可能会非常高。本研究旨在估计在阿姆斯特丹东部五种里程焦虑情况下开发新充电基础设施的成本。采用线性整数规划优化模型,基于汽车登记、现有电动汽车充电器和变电站的地理数据,得出如果司机在使用充电设施之前使用了90%的电池,现有的充电基础设施只需要扩大31%,以容纳近7倍的电动汽车数量——这是欧盟(EU)立法对替代燃料基础设施部署设定的门槛。如果司机只使用30%的电池;然而,基础设施增加167%是不可避免的(占近500万欧元的成本)。其次,在里程焦虑谱上的任何一点,如果充电间隔增加1天,则总成本降低30%以上。本文对这些发现进行了讨论,并提出了两种政策途径:(1)信息技术途径;(2)需求响应方法,以欧盟关于能源效率和替代燃料基础设施部署的立法为基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Annals of GIS
Annals of GIS Multiple-
CiteScore
8.30
自引率
2.00%
发文量
31
期刊最新文献
Zero watermarking algorithm for BIM data based on distance partitioning and local feature Controlling for spatial confounding and spatial interference in causal inference: modelling insights from a computational experiment Application of GIS and fuzzy sets to small-scale site suitability assessment for extensive brackish water aquaculture Revealing intra-urban hierarchical spatial structure through representation learning by combining road network abstraction model and taxi trajectory data The time- and distance-decay effects of hurricane relevancy on social media: an empirical study of three hurricanes in the United States
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1