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From user to operator: Rationalizing the charging infrastructure deployment. A case study of Berlin

Author

Listed:
  • Metais, M.O.
  • Jouini, O.
  • Perez, Y.
  • Berrada, J.

Abstract

The urge to develop greener transportation necessitates a shift from internal combustion engine vehicles to electric vehicles (EVs). Ensuring user acceptance of EVs through adequate charging infrastructure is crucial for this transition. We hypothesize that a user-oriented, time and space-coherent deployment of charging stations can reduce range anxiety and enhance EV adoption. We present a new multi-criteria deployment model and apply it through a MATSim multi-agent simulation to the Berlin region, observing the effects of different user behaviors on the charging infrastructure deployment. Results indicate that slow chargers are more cost-efficient and that residential charging is vital for user acceptance of EVs. The study concludes that a well-planned deployment schedule significantly reduces range anxiety and supports a coherent charging infrastructure helping EV democratization.

Suggested Citation

  • Metais, M.O. & Jouini, O. & Perez, Y. & Berrada, J., 2024. "From user to operator: Rationalizing the charging infrastructure deployment. A case study of Berlin," Applied Energy, Elsevier, vol. 376(PB).
    • Handle: RePEc:eee:appene:v:376:y:2024:i:pb:s0306261924015162
    DOI: 10.1016/j.apenergy.2024.124133
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    Cited by:

    1. Natalina Damanik & Ririen Clara Octavia & Dzikri Firmansyah Hakam, 2024. "Powering Indonesia’s Future: Reviewing the Road to Electric Vehicles Through Infrastructure, Policy, and Economic Growth," Energies, MDPI, vol. 17(24), pages 1-16, December.

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