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Are electric vehicle drivers willing to participate in vehicle-to-grid contracts? A context-dependent stated choice experiment

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  • Huang, Bing
  • Meijssen, Aart Gerard
  • Annema, Jan Anne
  • Lukszo, Zofia

Abstract

Vehicle-to-grid (V2G) technology could turn electric vehicles (EVs) into a potentially valuable solution to the problem of increased load demand caused by large-scale EV integration. Successful market penetration of V2G relies not only on developing the technology itself, but also on EV drivers' willingness to participate in this technology. This paper aims to explore Dutch EV drivers' preferences for participating in V2G contracts. In particular, we conduct a context-dependent stated choice experiment to examine the impact of EV recharging technology on the V2G contract preferences. Two contexts have been designed: the current EV recharging time and fast recharging. Our results show that in the context of current recharging time, Dutch EV drivers in general prefer not to participate in V2G contracts, while the opposite is true in the context of fast recharging. With regard to specific V2G contract attributes, Dutch EV drivers are most concerned about ‘discharging cycles’. Also important to them is ‘the guaranteed minimum battery level’, but its importance drops significantly in the fast charging context. In addition, ‘monthly remuneration’ and ‘plug-in time’ also influence people's preferences for adopting V2G. From these findings, we draw the implications for the aggregator and policy makers.

Suggested Citation

  • Huang, Bing & Meijssen, Aart Gerard & Annema, Jan Anne & Lukszo, Zofia, 2021. "Are electric vehicle drivers willing to participate in vehicle-to-grid contracts? A context-dependent stated choice experiment," Energy Policy, Elsevier, vol. 156(C).
    • Handle: RePEc:eee:enepol:v:156:y:2021:i:c:s0301421521002809
    DOI: 10.1016/j.enpol.2021.112410
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    2. Rishabh Ghotge & Koen Philippe Nijssen & Jan Anne Annema & Zofia Lukszo, 2022. "Use before You Choose: What Do EV Drivers Think about V2G after Experiencing It?," Energies, MDPI, vol. 15(13), pages 1-22, July.
    3. Muhammad Ahsan Khan & Akhtar Hussain & Woon-Gyu Lee & Hak-Man Kim, 2023. "An Incentive-Based Mechanism to Enhance Energy Trading among Microgrids, EVs, and Grid," Energies, MDPI, vol. 16(17), pages 1-23, September.
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    7. Himanshi Agrawal & Akash Talwariya & Amandeep Gill & Aman Singh & Hashem Alyami & Wael Alosaimi & Arturo Ortega-Mansilla, 2022. "A Fuzzy-Genetic-Based Integration of Renewable Energy Sources and E-Vehicles," Energies, MDPI, vol. 15(9), pages 1-15, April.
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    9. Andre Leippi & Markus Fleschutz & Michael D. Murphy, 2022. "A Review of EV Battery Utilization in Demand Response Considering Battery Degradation in Non-Residential Vehicle-to-Grid Scenarios," Energies, MDPI, vol. 15(9), pages 1-22, April.

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