在沙特高速公路上部署快速电动汽车充电站

Tareq AlSagga, AlWalid Idris, Omar AlWuayl, A. AlSheikh, Sobhi Mejjaoulli
{"title":"在沙特高速公路上部署快速电动汽车充电站","authors":"Tareq AlSagga, AlWalid Idris, Omar AlWuayl, A. AlSheikh, Sobhi Mejjaoulli","doi":"10.1145/3523132.3523148","DOIUrl":null,"url":null,"abstract":"With the leaps and strides Saudi Arabia has been making in recent years, and its clear interest in making Saudi Arabia more dependent on Electric Vehicles taking form in the green initiative of the Saudi 2030 Vision. In this paper, a model that locates and distributes fast charging EV stations (FCS) among the highways connecting the major cities in Saudi Arabia and plan the most ideal distribution of stations is created using methods from Industrial Engineering. The first problem is determining the charging station's locations on a certain highway. The second problem is deciding how many charging stations will be placed in every specific location considering the parameters of each. For this study, the model is applied on the Jeddah-Riyadh-Dammam highway crossing the most important cities of Saudi Arabia. For the methodology, 15 locations are located along this route. For each location, the Criteria Priority Weight system (CPWS), a system used to calculate the composite weight of each location, is applied. Finally, we will apply our mathematical model with the set parameters to find the maximum user utility score, which corresponds to the optimal distribution of EV chargers upon the locations. The results yield a certain distribution of charging stations in those locations under budget, cost, and capacity constraints.","PeriodicalId":109028,"journal":{"name":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Distributing Fast EV Charging Stations in Saudi Highways\",\"authors\":\"Tareq AlSagga, AlWalid Idris, Omar AlWuayl, A. AlSheikh, Sobhi Mejjaoulli\",\"doi\":\"10.1145/3523132.3523148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the leaps and strides Saudi Arabia has been making in recent years, and its clear interest in making Saudi Arabia more dependent on Electric Vehicles taking form in the green initiative of the Saudi 2030 Vision. In this paper, a model that locates and distributes fast charging EV stations (FCS) among the highways connecting the major cities in Saudi Arabia and plan the most ideal distribution of stations is created using methods from Industrial Engineering. The first problem is determining the charging station's locations on a certain highway. The second problem is deciding how many charging stations will be placed in every specific location considering the parameters of each. For this study, the model is applied on the Jeddah-Riyadh-Dammam highway crossing the most important cities of Saudi Arabia. For the methodology, 15 locations are located along this route. For each location, the Criteria Priority Weight system (CPWS), a system used to calculate the composite weight of each location, is applied. Finally, we will apply our mathematical model with the set parameters to find the maximum user utility score, which corresponds to the optimal distribution of EV chargers upon the locations. The results yield a certain distribution of charging stations in those locations under budget, cost, and capacity constraints.\",\"PeriodicalId\":109028,\"journal\":{\"name\":\"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3523132.3523148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 9th International Conference on Industrial Engineering and Applications (Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3523132.3523148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

随着沙特阿拉伯近年来取得的突飞猛进,以及其在沙特2030愿景绿色倡议中形成的让沙特更加依赖电动汽车的明显兴趣。本文运用工业工程的方法,建立了在沙特阿拉伯连接主要城市的高速公路中快速充电站的定位和分布模型,并规划了最理想的充电站分布。第一个问题是确定充电站在某条高速公路上的位置。第二个问题是考虑到每个充电站的参数,决定在每个特定的地点放置多少个充电站。在本研究中,该模型应用于穿越沙特阿拉伯最重要城市的吉达-利雅得-达曼高速公路。就方法而言,沿着这条路线有15个地点。对于每个位置,应用标准优先权重系统(CPWS),该系统用于计算每个位置的综合权重。最后,我们将应用我们的数学模型与设定的参数,找到最大的用户效用得分,对应于电动车充电器在位置上的最优分布。结果得出在预算、成本和容量限制下,充电站在这些地点的一定分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Distributing Fast EV Charging Stations in Saudi Highways
With the leaps and strides Saudi Arabia has been making in recent years, and its clear interest in making Saudi Arabia more dependent on Electric Vehicles taking form in the green initiative of the Saudi 2030 Vision. In this paper, a model that locates and distributes fast charging EV stations (FCS) among the highways connecting the major cities in Saudi Arabia and plan the most ideal distribution of stations is created using methods from Industrial Engineering. The first problem is determining the charging station's locations on a certain highway. The second problem is deciding how many charging stations will be placed in every specific location considering the parameters of each. For this study, the model is applied on the Jeddah-Riyadh-Dammam highway crossing the most important cities of Saudi Arabia. For the methodology, 15 locations are located along this route. For each location, the Criteria Priority Weight system (CPWS), a system used to calculate the composite weight of each location, is applied. Finally, we will apply our mathematical model with the set parameters to find the maximum user utility score, which corresponds to the optimal distribution of EV chargers upon the locations. The results yield a certain distribution of charging stations in those locations under budget, cost, and capacity constraints.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
ASL-SLAM: An Asynchronous Formulation of Lines for SLAM with Event Sensors Development in Agent Based Systems for Intelligent Manufacturing System Dynamics Application as a Tool to Estimate Environmental Effects of Irrigation, Pest and Weed Control Considering a Traditional Sugarcane Crop and an Organic Sugarcane Crop Logistics Management Model to reduce non-conforming orders through Lean Warehouse and JIT: A case of study in textile SMEs in Peru Analysis and Simulation of Viscous Material Transportation Based on Discrete Element Method
×
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