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Numerical Study on Planning Inductive Charging Infrastructures for Electric Service Vehicles on Airport Aprons

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  • Niklas Pöch

    (Department of Production Management, Leibniz University Hannover, 30167 Hannover, Germany
    Cluster of Excellence SE2A—Sustainable and Energy-Efficient Aviation, Technische Universität Braunschweig, 38106 Braunschweig, Germany
    These authors contributed equally to this work.)

  • Inka Nozinski

    (Department of Production Management, Leibniz University Hannover, 30167 Hannover, Germany
    Cluster of Excellence SE2A—Sustainable and Energy-Efficient Aviation, Technische Universität Braunschweig, 38106 Braunschweig, Germany
    These authors contributed equally to this work.)

  • Justine Broihan

    (Department of Production Management, Leibniz University Hannover, 30167 Hannover, Germany
    These authors contributed equally to this work.)

  • Stefan Helber

    (Department of Production Management, Leibniz University Hannover, 30167 Hannover, Germany
    These authors contributed equally to this work.)

Abstract

Dynamic inductive charging is a contact-free technology to provide electric vehicles with energy while they are in motion, thus eliminating the need to conductively charge the batteries of those vehicles and, hence, the required vehicle downtimes. Airport aprons of commercial airports are potential systems to employ this charging technology to reduce aviation-induced CO 2 emissions. To date, many vehicles operating on airport aprons are equipped with internal combustion engines burning diesel fuel, hence contributing to CO 2 emissions and the global warming problem. However, airport aprons exhibit specific features that might make dynamic inductive charging technologies particularly interesting. It turns out that using this technology leads to some strategic infrastructure design questions for airport aprons about the spatial allocation of the required system components. In this paper, we experimentally analyze these design questions to explore under which conditions we can expect the resulting mathematical optimization problems to be relatively hard or easy to be solved, respectively, as well as the achievable solution quality. To this end, we report numerical results on a large-scale numerical study reflecting different types of spatial structures of terminals and airport aprons as they can be found at real-world airports.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6510-:d:908140
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    References listed on IDEAS

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    1. Stefan Helber & Justine Broihan & Young Jae Jang & Peter Hecker & Thomas Feuerle, 2018. "Location Planning for Dynamic Wireless Charging Systems for Electric Airport Passenger Buses," Energies, MDPI, vol. 11(2), pages 1-16, January.
    2. 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.
    3. 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.
    4. Schwerdfeger, Stefan & Bock, Stefan & Boysen, Nils & Briskorn, Dirk, 2022. "Optimizing the electrification of roads with charge-while-drive technology," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1111-1127.
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