An agent-based electric vehicle charging demand modelling framework to assess the needs for the energy transition in transport

Serkan Girgin*, Mehmet Baran Ulak, Oskar A.L. Eikenbroek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Future transportation and a system-wide adoption of electric mobility highly depend on the capacity and ubiquity of the charging infrastructure. To assure a level of electricity supply that is sufficient to meet the recharge demand, we need realistic demand estimates taking socio-economic conditions into account. To address this need, we developed an agent-based modelling framework that determines the spatiotemporal distribution of electric vehicle charging demand considering commuting behaviour and accompanying charging needs of individuals, and reports the results in a detailed as well as aggregated manner. The framework is implemented as open-source software that can be used to simulate various scenarios in a scalable manner starting from the city level up to the country level.
Original languageEnglish
Title of host publication10th International Symposium on Transportation Data & Modelling (ISTDM2023)
Subtitle of host publicationBooklet of Abstracts
EditorsL. Duboz, B. Ciuffo
Place of PublicationLuxembourg
PublisherPublications Office of the European Union
Pages155-158
Number of pages4
ISBN (Electronic)978-92-68-07590-6
DOIs
Publication statusPublished - 2023
Event10th International Symposium on Transportation Data & Modelling, ISTMD 2023
- Ispra, Varese, Italy
Duration: 19 Jun 202322 Jun 2023
Conference number: 10
https://joint-research-centre.ec.europa.eu/events/istdm2023-2023-06-19_en

Conference

Conference10th International Symposium on Transportation Data & Modelling, ISTMD 2023
Abbreviated titleISTMD
Country/TerritoryItaly
CityIspra, Varese
Period19/06/2322/06/23
Internet address

Keywords

  • Electric Vehicle
  • charging infrastructure
  • Agent-based modeling (ABM)
  • socio-technical demand assessment
  • Electrification
  • Open-source
  • Software
  • Research software

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