Enhancing Shared Electric Vehicles Fleet Profitability with Vehicle to Grid Integration

Conference Paper (2025)
Author(s)

A. M. Agudin

G. R. C. Mouli (TU Delft - DC systems, Energy conversion & Storage)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/ISGTEurope64741.2025.11305683
More Info
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Publication Year
2025
Language
English
Research Group
DC systems, Energy conversion & Storage
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Publisher
IEEE
ISBN (print)
979-8-3315-2504-0
ISBN (electronic)
979-8-3315-2503-3
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Decarbonizing the transport sector is crucial for achieving sustainability goals, and two key strategies are the adoption of Electric Vehicles (EVs) and the expansion of Car Sharing Systems (CSS). EVs eliminate tailpipe emissions, while CSS reduces overall vehicle ownership and usage, leading to lower carbon emissions. Combining these two solutions into Electric Car Sharing Systems (ECSS) enhances their environmental and economic benefits. The integration of Vehicle-to-Grid (V2G) technology further strengthens this synergy by enabling EVs to support the energy grid, optimize charging costs, and improve system efficiency.This study investigates the integration of Vehicle-to-Grid technology within an Electric Car Sharing System to enhance Car Sharing Operator (CSO) profitability. A mathematical model is developed to optimize the financial performance of a CSO managing a station-based ECSS with EVs across five stations. The model considers vehicle driving, relocation, charging, and discharging under time-varying electricity prices. Results show that V2G increases profitability by enabling energy sales during periods of low driving demand and high electricity prices. These findings provide insights for optimizing EV-sharing systems in dynamic electricity markets and highlight the need for advanced vehicle management strategies.

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