{"title":"在新市场定位和确定电动汽车充电站的规模","authors":"Mohamed Aziz Jegham, S. Layeb","doi":"10.1504/IJADS.2020.10023338","DOIUrl":null,"url":null,"abstract":"In countries where there are a handful of electric vehicles (EV), installing appropriately charging stations could promote the usage of this emergent technology. In this work, we address the problem of locating and sizing EV charging stations in the specific context of a virgin market. First, we forecast the percentage of electric vehicles using a Bass diffusion model (BDM). Once the EV demand properly predicted, we adopt a set-covering-based approach through the formulation of linear programming models to locate and size the potential EV charging stations. The objective is to reduce weighted installation and access costs while ensuring that the stations are within a comfortable reach for the EV users. Without any loss of generality, we apply the overall scheme on the real case study of Tunis City, Tunisia, to propose the appropriate charging infrastructure deployment for the year 2025.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Locating and sizing electric vehicles charging stations in new markets\",\"authors\":\"Mohamed Aziz Jegham, S. Layeb\",\"doi\":\"10.1504/IJADS.2020.10023338\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In countries where there are a handful of electric vehicles (EV), installing appropriately charging stations could promote the usage of this emergent technology. In this work, we address the problem of locating and sizing EV charging stations in the specific context of a virgin market. First, we forecast the percentage of electric vehicles using a Bass diffusion model (BDM). Once the EV demand properly predicted, we adopt a set-covering-based approach through the formulation of linear programming models to locate and size the potential EV charging stations. The objective is to reduce weighted installation and access costs while ensuring that the stations are within a comfortable reach for the EV users. Without any loss of generality, we apply the overall scheme on the real case study of Tunis City, Tunisia, to propose the appropriate charging infrastructure deployment for the year 2025.\",\"PeriodicalId\":216414,\"journal\":{\"name\":\"Int. J. Appl. Decis. Sci.\",\"volume\":\"124 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Appl. Decis. Sci.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJADS.2020.10023338\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Appl. Decis. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJADS.2020.10023338","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Locating and sizing electric vehicles charging stations in new markets
In countries where there are a handful of electric vehicles (EV), installing appropriately charging stations could promote the usage of this emergent technology. In this work, we address the problem of locating and sizing EV charging stations in the specific context of a virgin market. First, we forecast the percentage of electric vehicles using a Bass diffusion model (BDM). Once the EV demand properly predicted, we adopt a set-covering-based approach through the formulation of linear programming models to locate and size the potential EV charging stations. The objective is to reduce weighted installation and access costs while ensuring that the stations are within a comfortable reach for the EV users. Without any loss of generality, we apply the overall scheme on the real case study of Tunis City, Tunisia, to propose the appropriate charging infrastructure deployment for the year 2025.