Abstract
The aviation industry aims for net-zero emissions by 2050. In this line, achieving climate-neutral ground operations is one of the first objectives. Electric vehicles that tow aircraft during taxiing are a promising technology to achieve climate-neutral ground operations. In this paper, we consider the dispatching of electric towing vehicles at an airport. We study the impact of the maximum battery capacity of these vehicles and the battery recharging protocols, on the total number of electric towing vehicles required at an airport. We propose a mixed-integer linear program to determine the size of the fleet of electric towing vehicles under various battery capacities and various battery recharging protocols. We illustrate our model for one day of operations at Amsterdam Airport Schiphol. The results show that 41, 29, and 24 ETVs are required to tow all aircraft when batteries capacities of 100 kWh, 320 kWh, and 500 kWh are considered, respectively. Compared with the best performing approach existing in literature, our model reduces the required size of the fleet of electric towing vehicles by 27% when considering a nominal battery size of 320 kWh.
Original language | English |
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Title of host publication | AIAA AVIATION 2022 Forum |
Subtitle of host publication | June 27-July 1, 2022, Chicago, IL & Virtual |
Publisher | American Institute of Aeronautics and Astronautics Inc. (AIAA) |
Number of pages | 11 |
ISBN (Electronic) | 978-1-62410-635-4 |
DOIs | |
Publication status | Published - 2022 |
Event | AIAA AVIATION 2022 Forum - Chicago, United States Duration: 27 Jun 2022 → 1 Jul 2022 |
Publication series
Name | AIAA AVIATION 2022 Forum |
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Conference
Conference | AIAA AVIATION 2022 Forum |
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Country/Territory | United States |
City | Chicago |
Period | 27/06/22 → 1/07/22 |
Bibliographical note
Correction NoticeWe forgot to acknowledge the funding source of the paper. We would like to do this in a new section between the
conclusion and the references as follows:
Acknowledgment
This research has received funding from the European Union’s Horizon 2020 research and innovation program
under grant agreement No 892928.