Consideration of round-trip electric car-sharing in residential energy system modeling

Julian Achatz, Anurag Mohapatra, Thomas Hamacher

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

Abstract

This paper presents a residential, round-trip, mixed ownership, electric car-sharing scheme with an optimized charging schedule, expressed as a mixed integer linear programming model. Representing the given travel demand as a graph, a mixed (shared and owned cars) ownership fleet configuration, with different trip fulfillment possibilities, is determined using maximal cliques. Next, a car-to-trip allocation model for feasible trip plans, with considerations for equal car utilization and charging price, is used to generate charging profiles for the fleet. The model and the outputs can be variously integrated into existing energy system modeling frameworks. A case study, using data from a test building with a residential car-sharing fleet in Munich, demonstrates the potential of the proposed models to derive meaningful operational insights for fleet and energy system planners. 92% of the recorded trips at the test building could have been feasibly accomplished with only 60% of the available cars.

Original languageEnglish
Title of host publicationIEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024
EditorsNinoslav Holjevac, Tomislav Baskarad, Matija Zidar, Igor Kuzle
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789531842976
DOIs
StatePublished - 2024
Event2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024 - Dubrovnik, Croatia
Duration: 14 Oct 202417 Oct 2024

Publication series

NameIEEE PES Innovative Smart Grid Technologies Europe, ISGT EUROPE 2024

Conference

Conference2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024
Country/TerritoryCroatia
CityDubrovnik
Period14/10/2417/10/24

Keywords

  • car-sharing
  • electric vehicles
  • energy system modeling
  • fleet configuration
  • mixed integer linear programming

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