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Modelling the effect of electric aircraft on airport operations and infrastructure

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  • Doctor, Faiyaz
  • Budd, Thomas
  • Williams, Paul. D.
  • Prescott, Matt
  • Iqbal, Rahat

Abstract

Electric aircraft offer the potential for emissions savings towards decarbonising air transport and reducing its contribution to climate change. However, the characteristics of these novel technologies pose questions about how they can be integrated with existing airport infrastructure. Key considerations relate to the time needed to recharge electric aircraft whilst on the ground without adversely affecting operational capacities, and the requirement for airport operators to install electric charging capabilities. The paper applies queuing theory and simulation modelling techniques to help identify potential battery charging regimes for electric aircraft based on potential forecasts of the future electric aircraft fleet. An initial prototype discrete event simulation model was developed to simulate impacts of short-haul electric aircraft on airport capacity to help determine future infrastructural requirements. Computational optimisation techniques were used to determine optimal configurations of single purpose and converted dual purpose aircraft parking stands under different scenarios and charging regimes. The model demonstrated that a future increase in electric aircraft equating to 25% of the global aircraft fleet required the conversion of only 13% of existing parking stands, while maintaining airside capacity and operational efficiency. The findings have important implications for air transport planners and decision makers in the transition to zero emissions and flight.

Suggested Citation

  • Doctor, Faiyaz & Budd, Thomas & Williams, Paul. D. & Prescott, Matt & Iqbal, Rahat, 2022. "Modelling the effect of electric aircraft on airport operations and infrastructure," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:tefoso:v:177:y:2022:i:c:s0040162522000853
    DOI: 10.1016/j.techfore.2022.121553
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    References listed on IDEAS

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    1. Iqbal, Rahat & Doctor, Faiyaz & More, Brian & Mahmud, Shahid & Yousuf, Usman, 2020. "Big data analytics: Computational intelligence techniques and application areas," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    2. Brailsford, Sally C. & Eldabi, Tillal & Kunc, Martin & Mustafee, Navonil & Osorio, Andres F., 2019. "Hybrid simulation modelling in operational research: A state-of-the-art review," European Journal of Operational Research, Elsevier, vol. 278(3), pages 721-737.
    3. Andreas W. Schäfer & Steven R. H. Barrett & Khan Doyme & Lynnette M. Dray & Albert R. Gnadt & Rod Self & Aidan O’Sullivan & Athanasios P. Synodinos & Antonio J. Torija, 2019. "Technological, economic and environmental prospects of all-electric aircraft," Nature Energy, Nature, vol. 4(2), pages 160-166, February.
    4. Lange, Anne & Sieling, Julian & Gonzalez Parra, Garoe, 2019. "Convergence in airline operations: The case of ground times," Journal of Air Transport Management, Elsevier, vol. 77(C), pages 39-45.
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    Cited by:

    1. Li, Wei & Wang, Ting & Lu, Can, 2023. "Pathways to net-zero emissions from China's transportation industry: Considering alternative fuels," Energy, Elsevier, vol. 283(C).
    2. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    3. Sismanidou, Athina & Tarradellas, Joan & Suau-Sanchez, Pere & O'Connor, Kevin, 2024. "Breaking barriers: An assessment of the feasibility of long-haul electric flights," Journal of Transport Geography, Elsevier, vol. 115(C).
    4. Zoutendijk, M. & Mitici, M., 2024. "Fleet scheduling for electric towing of aircraft under limited airport energy capacity," Energy, Elsevier, vol. 294(C).

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