Location Planning for Dynamic Wireless Charging Systems for Electric Airport Passenger Buses

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Helber, S. et al.: Location Planning for Dynamic Wireless Charging Systems for Electric Airport Passenger Buses. In: Energies 11 (2018), Nr. 2, 258. DOI: https://doi.org/10.3390/en11020258

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4897

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Sum total of downloads: 267




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Abstract: 
The majority of the ground vehicles operating on the airside parts of commercial airports are currently powered by diesel engines. These include vehicles such as apron buses, fuel trucks, and aircraft tractors. Hence, these vehicles contribute to the overall CO2 emissions of the aviation transport system and thus negatively influence its environmental footprint. To reduce this damaging environmental impact, these vehicles could potentially be electrified with on-board batteries as their energy sources. However, the conductive charging of such vehicles via stationary cable connections is rather time-consuming. A dynamic wireless charging system to supply public transportation passenger buses with electric energy while in motion has recently been installed on the Korea Advanced Institute of Science and Technology (KAIST) campus and in the Korean city of Gumi. In this paper, we study configuration problems related to the use of this technology to make airport operations more environmentally sustainable. We concentrate on the power supply for apron buses and analyze the location planning problems related to the distribution of the required power supply and the wireless charging units in the apron road system. To this end, we develop a formal optimization model and discuss the first numerical results.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Wirtschaftswissenschaftliche Fakultät

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 104 38.95%
2 image of flag of France France 41 15.36%
3 image of flag of United States United States 32 11.99%
4 image of flag of Canada Canada 20 7.49%
5 image of flag of China China 14 5.24%
6 image of flag of Spain Spain 12 4.49%
7 image of flag of No geo information available No geo information available 9 3.37%
8 image of flag of Russian Federation Russian Federation 4 1.50%
9 image of flag of Philippines Philippines 4 1.50%
10 image of flag of Korea, Republic of Korea, Republic of 4 1.50%
    other countries 23 8.61%

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