IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2022i1p88-d1010644.html
   My bibliography  Save this article

A Review of Tariffs and Services for Smart Charging of Electric Vehicles in Europe

Author

Listed:
  • Julia Hildermeier

    (Regulatory Assistance Project, Rue de la Science 23, 1040 Brussels, Belgium)

  • Jaap Burger

    (Regulatory Assistance Project, Rue de la Science 23, 1040 Brussels, Belgium)

  • Andreas Jahn

    (Regulatory Assistance Project, Rue de la Science 23, 1040 Brussels, Belgium)

  • Jan Rosenow

    (Regulatory Assistance Project, Rue de la Science 23, 1040 Brussels, Belgium)

Abstract

Smart charging of electric vehicles (EVs) is an essential approach to reduce the costs and maximise the benefits of increasing numbers of EVs being connected to the power grid. This article analyses 139 tariffs and services for smart EV charging available in Europe. It finds that while the market for smart EV charging services is growing, there is a lack of consumer information on the savings and broader environmental benefits it offers, such as integration of renewables. Offers are also unevenly distributed across the continent, resulting in unequal access to smart EV charging. The article outlines six strategies to establish framework conditions in energy markets that would address these gaps and establish smart charging as a standard means of charging, to ensure the beneficial integration of EVs into power grids.

Suggested Citation

  • Julia Hildermeier & Jaap Burger & Andreas Jahn & Jan Rosenow, 2022. "A Review of Tariffs and Services for Smart Charging of Electric Vehicles in Europe," Energies, MDPI, vol. 16(1), pages 1-13, December.
  • Handle: RePEc:gam:jeners:v:16:y:2022:i:1:p:88-:d:1010644
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/1/88/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/1/88/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mangipinto, Andrea & Lombardi, Francesco & Sanvito, Francesco Davide & Pavičević, Matija & Quoilin, Sylvain & Colombo, Emanuela, 2022. "Impact of mass-scale deployment of electric vehicles and benefits of smart charging across all European countries," Applied Energy, Elsevier, vol. 312(C).
    2. Felix Guthoff & Nikolai Klempp & Kai Hufendiek, 2021. "Quantification of the Flexibility Potential through Smart Charging of Battery Electric Vehicles and the Effects on the Future Electricity Supply System in Germany," Energies, MDPI, vol. 14(9), pages 1-20, April.
    Full references (including those not matched with items on IDEAS)

    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. Norouzi, Mohammadali & Aghaei, Jamshid & Niknam, Taher & Alipour, Mohammadali & Pirouzi, Sasan & Lehtonen, Matti, 2023. "Risk-averse and flexi-intelligent scheduling of microgrids based on hybrid Boltzmann machines and cascade neural network forecasting," Applied Energy, Elsevier, vol. 348(C).
    2. Verónica Anadón Martínez & Andreas Sumper, 2023. "Planning and Operation Objectives of Public Electric Vehicle Charging Infrastructures: A Review," Energies, MDPI, vol. 16(14), pages 1-41, July.
    3. Hasan Huseyin Coban & Wojciech Lewicki & Ewelina Sendek-Matysiak & Zbigniew Łosiewicz & Wojciech Drożdż & Radosław Miśkiewicz, 2022. "Electric Vehicles and Vehicle–Grid Interaction in the Turkish Electricity System," Energies, MDPI, vol. 15(21), pages 1-19, November.
    4. Sørensen, Åse Lekang & Ludvigsen, Bjørn & Andresen, Inger, 2023. "Grid-connected cabin preheating of Electric Vehicles in cold climates – A non-flexible share of the EV energy use," Applied Energy, Elsevier, vol. 341(C).
    5. Liu, Ke & Liu, Yanli, 2023. "Stochastic user equilibrium based spatial-temporal distribution prediction of electric vehicle charging load," Applied Energy, Elsevier, vol. 339(C).
    6. Sagar Hossain & Md. Rokonuzzaman & Kazi Sajedur Rahman & A. K. M. Ahasan Habib & Wen-Shan Tan & Md Mahmud & Shahariar Chowdhury & Sittiporn Channumsin, 2023. "Grid-Vehicle-Grid (G2V2G) Efficient Power Transmission: An Overview of Concept, Operations, Benefits, Concerns, and Future Challenges," Sustainability, MDPI, vol. 15(7), pages 1-24, March.
    7. Li, Xiaohui & Wang, Zhenpo & Zhang, Lei & Sun, Fengchun & Cui, Dingsong & Hecht, Christopher & Figgener, Jan & Sauer, Dirk Uwe, 2023. "Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview," Energy, Elsevier, vol. 268(C).
    8. Zaidi, I. & Oulamara, A. & Idoumghar, L. & Basset, M., 2024. "Minimizing grid capacity in preemptive electric vehicle charging orchestration: Complexity, exact and heuristic approaches," European Journal of Operational Research, Elsevier, vol. 312(1), pages 22-37.
    9. Gábor Horváth & Attila Bai & Sándor Szegedi & István Lázár & Csongor Máthé & László Huzsvai & Máté Zakar & Zoltán Gabnai & Tamás Tóth, 2023. "A Comprehensive Review of the Distinctive Tendencies of the Diffusion of E-Mobility in Central Europe," Energies, MDPI, vol. 16(14), pages 1-29, July.
    10. Amra Jahic & Felix Heider & Maik Plenz & Detlef Schulz, 2022. "Flexibility Quantification and the Potential for Its Usage in the Case of Electric Bus Depots with Unidirectional Charging," Energies, MDPI, vol. 15(10), pages 1-18, May.
    11. Abdulaziz Almutairi & Naif Albagami & Sultanh Almesned & Omar Alrumayh & Hasmat Malik, 2023. "Electric Vehicle Load Estimation at Home and Workplace in Saudi Arabia for Grid Planners and Policy Makers," Sustainability, MDPI, vol. 15(22), pages 1-16, November.
    12. Garazi Etxegarai & Haritza Camblong & Aitzol Ezeiza & Tek Tjing Lie, 2024. "Design of Three Electric Vehicle Charging Tariff Systems to Improve Photovoltaic Self-Consumption," Energies, MDPI, vol. 17(8), pages 1-23, April.
    13. Zhou, Huimin & Dang, Yaoguo & Yang, Yingjie & Wang, Junjie & Yang, Shaowen, 2023. "An optimized nonlinear time-varying grey Bernoulli model and its application in forecasting the stock and sales of electric vehicles," Energy, Elsevier, vol. 263(PC).
    14. Hasanien, Hany M. & Alsaleh, Ibrahim & Alassaf, Abdullah & Alateeq, Ayoob, 2023. "Enhanced coati optimization algorithm-based optimal power flow including renewable energy uncertainties and electric vehicles," Energy, Elsevier, vol. 283(C).

    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:jeners:v:16:y:2022:i:1:p:88-:d:1010644. 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.