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Infrastructure Development for Electric Vehicle Charging Stations in Cluj-Napoca Municipality—A Case Study

Author

Listed:
  • Horatiu Pop

    (Cluj-Napoca City-Hall, 400001 Cluj-Napoca, Romania
    Basis of Electronics Department, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania)

  • Alin Grama

    (Applied Electronics Department, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania)

  • Alexandra Fodor

    (Applied Electronics Department, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania)

  • Corneliu Rusu

    (Basis of Electronics Department, Technical University of Cluj-Napoca, 400027 Cluj-Napoca, Romania)

Abstract

This paper presents the status regarding electric vehicles (EVs) and public charging stations managed by Cluj-Napoca City Hall. The types of charging stations and the quantity of the used energy were stated. The behavior of EV owners in charging their vehicles was also studied. The presented work proposes an extension of the EV charging infrastructure to support current and future EV owners. Simulations were carried out in Simulink to create an overview of the existing infrastructure. The simulation results showed the amount of greenhouse gas (CO 2 emissions) reduced by using EVs. An estimated number of kilometers traveled with EVs was calculated by tracking the loads in all public charging stations.

Suggested Citation

  • Horatiu Pop & Alin Grama & Alexandra Fodor & Corneliu Rusu, 2023. "Infrastructure Development for Electric Vehicle Charging Stations in Cluj-Napoca Municipality—A Case Study," Energies, MDPI, vol. 16(8), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3552-:d:1127806
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    References listed on IDEAS

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    1. Calin Iclodean & Nicolae Cordos & Bogdan Ovidiu Varga, 2020. "Autonomous Shuttle Bus for Public Transportation: A Review," Energies, MDPI, vol. 13(11), pages 1-45, June.
    2. Zheng Chen & Ningyuan Guo & Xiaoyu Li & Jiangwei Shen & Renxin Xiao & Siqi Li, 2017. "Battery Pack Grouping and Capacity Improvement for Electric Vehicles Based on a Genetic Algorithm," Energies, MDPI, vol. 10(4), pages 1-15, March.
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    Cited by:

    1. 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.

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