IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i21p5925-d280050.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/21/5925/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/21/5925/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shen, Zuo-Jun Max & Feng, Bo & Mao, Chao & Ran, Lun, 2019. "Optimization models for electric vehicle service operations: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 462-477.
    2. Davidov, Sreten & Pantoš, Miloš, 2017. "Impact of stochastic driving range on the optimal charging infrastructure expansion planning," Energy, Elsevier, vol. 141(C), pages 603-612.
    3. Shaohua Cui & Hui Zhao & Huijie Wen & Cuiping Zhang, 2018. "Locating Multiple Size and Multiple Type of Charging Station for Battery Electricity Vehicles," Sustainability, MDPI, vol. 10(9), pages 1-20, September.
    4. Sheldon, Tamara L. & Dua, Rubal, 2018. "Gasoline savings from clean vehicle adoption," Energy Policy, Elsevier, vol. 120(C), pages 418-424.
    5. Motoaki, Yutaka & Yi, Wenqi & Salisbury, Shawn, 2018. "Empirical analysis of electric vehicle fast charging under cold temperatures," Energy Policy, Elsevier, vol. 122(C), pages 162-168.
    6. Csiszár, Csaba & Csonka, Bálint & Földes, Dávid & Wirth, Ervin & Lovas, Tamás, 2020. "Location optimisation method for fast-charging stations along national roads," Journal of Transport Geography, Elsevier, vol. 88(C).
    7. Nie, Yu (Marco) & Ghamami, Mehrnaz & Zockaie, Ali & Xiao, Feng, 2016. "Optimization of incentive polices for plug-in electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 103-123.
    8. Kim, Hyunjung & Kim, Dae-Wook & Kim, Man-Keun, 2022. "Economics of charging infrastructure for electric vehicles in Korea," Energy Policy, Elsevier, vol. 164(C).
    9. Meunier, Guy & Ponssard, Jean-Pierre, 2020. "Optimal policy and network effects for the deployment of zero emission vehicles," European Economic Review, Elsevier, vol. 126(C).
    10. Roberto Amaral-Santos & Ariaster Chimeli & Joao Paulo Pessoa, 2023. "Natural Gas Vehicles: Consequences to Fuel Markets and the Environment," Working Papers, Department of Economics 2023_07, University of São Paulo (FEA-USP).
    11. Kuby, Michael & Capar, Ismail & Kim, Jong-Geun, 2017. "Efficient and equitable transnational infrastructure planning for natural gas trucking in the European Union," European Journal of Operational Research, Elsevier, vol. 257(3), pages 979-991.
    12. Stephen P. Holland & Erin T. Mansur & Nicholas Z. Muller & Andrew J. Yates, 2019. "Distributional Effects of Air Pollution from Electric Vehicle Adoption," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 6(S1), pages 65-94.
    13. Tamara L. Sheldon & Rubal Dua & Omar Abdullah Alharbib, 2023. "How Cost-effective are Electric Vehicle Subsidies in Reducing Tailpipe-CO2 Emissions? An Analysis of Major Electric Vehicle Markets," The Energy Journal, , vol. 44(3), pages 223-250, May.
    14. Pessoa, Joao Paulo & Santos, Roberto Amaral & Chimeli, Ariaster, 2023. "Natural Gas Vehicles: Consequences to Fuel Markets and the Environment," SocArXiv 7tvgy, Center for Open Science.
    15. Zunian Luo, 2022. "Powering Up a Slow Charging Market: How Do Government Subsidies Affect Charging Station Supply?," Papers 2210.14908, arXiv.org, revised Jan 2023.
    16. Lucas W. Davis & James M. Sallee, 2020. "Should Electric Vehicle Drivers Pay a Mileage Tax?," Environmental and Energy Policy and the Economy, University of Chicago Press, vol. 1(1), pages 65-94.
    17. Xing, Jianwei & Leard, Benjamin & Li, Shanjun, 2021. "What does an electric vehicle replace?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    18. Kenneth Gillingham & Marten Ovaere & Stephanie Weber, 2021. "Carbon Policy and the Emissions Implications of Electric Vehicles," CESifo Working Paper Series 8974, CESifo.
    19. Lin, Haiyang & Bian, Caiyun & Wang, Yu & Li, Hailong & Sun, Qie & Wallin, Fredrik, 2022. "Optimal planning of intra-city public charging stations," Energy, Elsevier, vol. 238(PC).
    20. Leslie A. Martin, 2022. "Driving on Sunbeams: Interactions Between Price Incentives for Electric Vehicles, Residential Solar Photovoltaics and Household Battery Systems," Economic Papers, The Economic Society of Australia, vol. 41(4), pages 369-384, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5925-:d:280050. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.