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Estimating Public Charging Demand of Electric Vehicles

Author

Listed:
  • Michael Hardinghaus

    (Institute of Transport Research, German Aerospace Center, 12489 Berlin, Germany)

  • Christian Seidel

    (VMZ Berlin Betreibergesellschaft mbH, 12109 Berlin, Germany)

  • John E. Anderson

    (Institute of Transport Research, German Aerospace Center, 12489 Berlin, Germany)

Abstract

Electric vehicles require sufficient public charging infrastructure. This in turn necessitates detailed information on charging demand. In this paper we present a four-step approach to estimating public charging demand of electric vehicles. Previous methods are limited in their ability to provide differentiated results and adapt to future developments. Therefore, we account for user groups (private, carsharing, commercial), technical developments (vehicles, infrastructure), infrastructure availability, and carsharing development (operational area, business models, autonomous vehicles). Our approach also considers the interactions between these factors and allows for scenario analysis yielding the quantity and spatial distribution of public charging demand. We demonstrate our approach for Berlin, Germany. We find that the majority of public charging demand results from carsharing. This demand is concentrated in the city center, even when carsharing is available citywide. Public charging demand for commercial users is relatively low and located outside the city center. For private users, public charging demand shifts to the city center with an increasing market penetration of electric vehicles and technological advancements (increased range, charging speed). Public demand from private users increases dramatically when private infrastructure is absent. Finally, public charging demand shifts to the city center when private users do not have private infrastructure.

Suggested Citation

  • Michael Hardinghaus & Christian Seidel & John E. Anderson, 2019. "Estimating Public Charging Demand of Electric Vehicles," Sustainability, MDPI, vol. 11(21), pages 1-22, October.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5925-:d:280050
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    References listed on IDEAS

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    1. Rahman, Imran & Vasant, Pandian M. & Singh, Balbir Singh Mahinder & Abdullah-Al-Wadud, M. & Adnan, Nadia, 2016. "Review of recent trends in optimization techniques for plug-in hybrid, and electric vehicle charging infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1039-1047.
    2. Kihm, Alexander & Trommer, Stefan, 2014. "The new car market for electric vehicles and the potential for fuel substitution," Energy Policy, Elsevier, vol. 73(C), pages 147-157.
    3. Yang, Woosuk, 2018. "A user-choice model for locating congested fast charging stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 189-213.
    4. Stephen P. Holland & Erin T. Mansur & Nicholas Z. Muller & Andrew J. Yates, 2016. "Are There Environmental Benefits from Driving Electric Vehicles? The Importance of Local Factors," American Economic Review, American Economic Association, vol. 106(12), pages 3700-3729, December.
    5. Cavadas, Joana & Homem de Almeida Correia, Gonçalo & Gouveia, João, 2015. "A MIP model for locating slow-charging stations for electric vehicles in urban areas accounting for driver tours," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 188-201.
    6. Nie, Yu (Marco) & Ghamami, Mehrnaz, 2013. "A corridor-centric approach to planning electric vehicle charging infrastructure," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 172-190.
    7. Sathaye, Nakul & Kelley, Scott, 2013. "An approach for the optimal planning of electric vehicle infrastructure for highway corridors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 59(C), pages 15-33.
    8. Pol Olivella-Rosell & Roberto Villafafila-Robles & Andreas Sumper & Joan Bergas-Jané, 2015. "Probabilistic Agent-Based Model of Electric Vehicle Charging Demand to Analyse the Impact on Distribution Networks," Energies, MDPI, vol. 8(5), pages 1-28, May.
    9. Archsmith, James & Kendall, Alissa & Rapson, David, 2015. "From Cradle to Junkyard: Assessing the Life Cycle Greenhouse Gas Benefits of Electric Vehicles," Research in Transportation Economics, Elsevier, vol. 52(C), pages 72-90.
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    Cited by:

    1. Khaleghikarahrodi, Mehrsa & Macht, Gretchen A., 2023. "Patterns, no patterns, that is the question: Quantifying users’ electric vehicle charging," Transport Policy, Elsevier, vol. 141(C), pages 291-304.
    2. Wang, Shengyou & Zhuge, Chengxiang & Shao, Chunfu & Wang, Pinxi & Yang, Xiong & Wang, Shiqi, 2023. "Short-term electric vehicle charging demand prediction: A deep learning approach," Applied Energy, Elsevier, vol. 340(C).

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