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Designing Dynamic Inductive Charging Infrastructures for Airport Aprons with Multiple Vehicle Types

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  • Justine Broihan

    (Department of Production Management, Leibniz University Hannover, 30167 Hannover, Germany
    Cluster of Excellence SE 2 A—Sustainable and Energy-Efficient Aviation, Technische Universität Braunschweig, 38106 Braunschweig, Germany)

  • Inka Nozinski

    (Department of Production Management, Leibniz University Hannover, 30167 Hannover, Germany
    Cluster of Excellence SE 2 A—Sustainable and Energy-Efficient Aviation, Technische Universität Braunschweig, 38106 Braunschweig, Germany)

  • Niklas Pöch

    (Department of Production Management, Leibniz University Hannover, 30167 Hannover, Germany
    Cluster of Excellence SE 2 A—Sustainable and Energy-Efficient Aviation, Technische Universität Braunschweig, 38106 Braunschweig, Germany)

  • Stefan Helber

    (Department of Production Management, Leibniz University Hannover, 30167 Hannover, Germany)

Abstract

In the effort to combat climate change, the CO 2 emissions of the aviation sector must be reduced. The traffic caused by numerous types of ground vehicles on airport aprons currently contributes to those emissions as the vehicles typically operate with combustion engines, which is why an electrification of those vehicles has already begun. While stationary conductive charging of the vehicles is the current standard technology, dynamic wireless charging might be an attractive technological alternative, in particular for airport aprons; however, designing a charging network for an airport apron is a challenging task with important technical and economic aspects. In this paper, we propose a model to characterize the problem, especially for cases of multiple types of vehicles sharing the same charging network, such as passenger buses and baggage vehicles. In a numerical study inspired by real-world airports, we design such charging networks subject to service level constraints and evaluate the resulting structures via a discrete-event simulation, and thus, show the way to assess the margin of safety with respect to the vehicle batteries’ state of charge that is induced by the spatial structure of the charging network.

Suggested Citation

  • Justine Broihan & Inka Nozinski & Niklas Pöch & Stefan Helber, 2022. "Designing Dynamic Inductive Charging Infrastructures for Airport Aprons with Multiple Vehicle Types," Energies, MDPI, vol. 15(11), pages 1-24, June.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4085-:d:830093
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    References listed on IDEAS

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    1. Ho-Yin Mak & Ying Rong & Zuo-Jun Max Shen, 2013. "Infrastructure Planning for Electric Vehicles with Battery Swapping," Management Science, INFORMS, vol. 59(7), pages 1557-1575, July.
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    3. Bi, Zicheng & Keoleian, Gregory A. & Ersal, Tulga, 2018. "Wireless charger deployment for an electric bus network: A multi-objective life cycle optimization," Applied Energy, Elsevier, vol. 225(C), pages 1090-1101.
    4. Hyukjoon Lee & Dongjin Ji & Dong-Ho Cho, 2019. "Optimal Design of Wireless Charging Electric Bus System Based on Reinforcement Learning," Energies, MDPI, vol. 12(7), pages 1-20, March.
    5. Ramesh Chandra Majhi & Prakash Ranjitkar & Mingyue Sheng & Grant A. Covic & Doug James Wilson, 2021. "A systematic review of charging infrastructure location problem for electric vehicles," Transport Reviews, Taylor & Francis Journals, vol. 41(4), pages 432-455, July.
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    Cited by:

    1. Niklas Pöch & Inka Nozinski & Justine Broihan & Stefan Helber, 2022. "Numerical Study on Planning Inductive Charging Infrastructures for Electric Service Vehicles on Airport Aprons," Energies, MDPI, vol. 15(18), pages 1-25, September.

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