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  4. Time and Money Matters for Sustainability: Insights on User Preferences on Renewable Energy for Electric Vehicle Charging Stations
 
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2024
Conference Paper
Title

Time and Money Matters for Sustainability: Insights on User Preferences on Renewable Energy for Electric Vehicle Charging Stations

Abstract
Charging electric vehicles (EVs) with renewable energy can lessen their environmental impact. However, the fluctuating availability of renewable energy affects the sustainability of public EV charging stations. Nearby public charging stations may utilize differing energy sources due to their microgrid connections - ranging from exclusively renewable to non-renewable or a combination of both - highlighting the substantial variability in energy supply types within short distances. This study investigates the near-future scenario of integrating dynamic renewable energy availability in charging station navigation to impact the choices of EV users towards renewable sources. We conducted a within-subjects design survey with 50 car users and semi-structured interviews with 10 EV users from rural, suburban, and urban areas. The results show that when choosing EV charging stations, drivers often prioritize either time savings or money savings based on the driving scenarios that influence drivers' consumer value. Notably, EV users tend to select renewable-powered stations when they align with their main priority, be it saving money or time. This study offers end-user insights into the front-end graphic user interface and the development of the back-end ranking algorithm for navigation recommender systems that integrate dynamic renewable energy availability for the sustainable use of electric vehicles.
Author(s)
Du, Delong
Vavouris, Apostolos K.
Veisi, Omid
Jin, Lu
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Stevens, Gunnar
Stanković, Lina
Stankovic, Vladimir M.
Boden, Alexander  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Mainwork
MuC’24, Proceedings of the 2024 Conference on Mensch und Computer  
Conference
Konferenz "Mensch und Computer" 2024  
Open Access
DOI
10.1145/3670653.3670677
Additional link
Full text
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • Charging Station

  • Electric Vehicles

  • EV User

  • Navigation

  • Renewable Energy

  • Sustainability

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