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A Multi-Criteria Approach for Optimizing the Placement of Electric Vehicle Charging Stations in Highways

Author

Listed:
  • Panagiotis Skaloumpakas

    (HOLISTIC S.A., 153 43 Athens, Greece)

  • Evangelos Spiliotis

    (Forecasting & Strategy Unit, School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Athens, Greece)

  • Elissaios Sarmas

    (Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Athens, Greece)

  • Alexios Lekidis

    (Public Power Corporation S.A., 104 32 Athens, Greece)

  • George Stravodimos

    (HOLISTIC S.A., 153 43 Athens, Greece)

  • Dimitris Sarigiannis

    (Egnatia Motorway S.A., 570 01 Thessaloniki, Greece)

  • Ioanna Makarouni

    (Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Athens, Greece)

  • Vangelis Marinakis

    (Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Athens, Greece)

  • John Psarras

    (Decision Support Systems Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Athens, Greece)

Abstract

The electric vehicle (EV) industry has made significant progress but, in many markets, there are still barriers holding back its advancement. A key issue is the anxiety caused to the drivers by the limited range of current EV models and the inadequate access to charging stations in long-distance trips, as is the case on highways. We propose an intuitive multi-criteria approach that optimally places EV charging stations on highways that (partially) lack such points. The approach, which is applied in an iterative fashion to dynamically evaluate the alternatives, considers a set of practical criteria related to the traffic intensity and the relative location of the charging stations with interchanges, major cities, and existing stations, thus supporting decisions in a pragmatic way. The optimal locations are determined by taking into consideration constraints about the EV driving range and installation preferences to improve the operation of the highway while ensuring reasonable cost of investment. The proposed approach is showcased in the Egnatia Motorway, the longest highway in Greece that runs a total of 670 km but currently involves a single EV charging point. Our findings illustrate the utility of the proposed approach and highlight its merits as a decision-support tool.

Suggested Citation

  • Panagiotis Skaloumpakas & Evangelos Spiliotis & Elissaios Sarmas & Alexios Lekidis & George Stravodimos & Dimitris Sarigiannis & Ioanna Makarouni & Vangelis Marinakis & John Psarras, 2022. "A Multi-Criteria Approach for Optimizing the Placement of Electric Vehicle Charging Stations in Highways," Energies, MDPI, vol. 15(24), pages 1-13, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:24:p:9445-:d:1002445
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    References listed on IDEAS

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    Cited by:

    1. Gönül, Ömer & Duman, A. Can & Güler, Önder, 2024. "A comprehensive framework for electric vehicle charging station siting along highways using weighted sum method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).

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