Highlights We propose a simulation framework for analyzing aircraft taxi via electric towing. Experiments investigate impacts to taxiway congestion and equivalent annual cost. Fuel and emission reductions can be realized with limited impact on taxi time. High uncertainty prevents definitive conclusions about cost effectiveness. The framework can be used to inform taxi strategies, implementation, and budgeting.

    Abstract Aircraft taxiing with external electric towing could significantly reduce carbon dioxide (CO2) emissions from ground operations. We develop a discrete event simulation and cost model to investigate taxiway congestion and develop a comprehensive equivalent annual cost (EAC) estimate from using electric towing tractors (e-tractors). The model incorporates collision and conflict avoidance and towing service interruptions. Experiments identify the number of e-tractors generating the lowest EAC. A case study considers three electric taxi scenarios at Montréal-Trudeau International Airport. Our findings suggest significant potential for reducing fuel consumption and CO2 emissions with limited impact on taxi time when e-tractor capacity is aligned with demand. However, high uncertainty prevents definitive conclusions about cost effectiveness. The modeling approach can be updated based on ongoing field test data and input from airlines, airports, and handling agents and used to test novel taxi strategies, develop e-tractor implementation plans, and inform the capital budgeting process.


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    Title :

    Electrification of airport taxiway operations: A simulation framework for analyzing congestion and cost


    Contributors:


    Publication date :

    2021-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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