Estimation of Aircraft Taxi-out Fuel Burn using Flight Data Recorder Archives

The taxi-out phase of a flight accounts for a significant fraction of total fuel burn for aircraft. In addition, surface fuel burn is also a major contributor to CO 2 emissions in the vicinity of airports. It is therefore desirable to have accurate estimates of fuel consumption on the ground. This p...

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Bibliographic Details
Main Authors: Khadilkar, Harshad Dilip (Contributor), Balakrishnan, Hamsa (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor)
Format: Article
Language:English
Published: American Institute of Aeronautics and Astronautics (AIAA), 2018-03-30T23:00:57Z.
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Online Access:Get fulltext
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100 1 0 |a Khadilkar, Harshad Dilip  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Aeronautics and Astronautics  |e contributor 
100 1 0 |a Khadilkar, Harshad Dilip  |e contributor 
100 1 0 |a Balakrishnan, Hamsa  |e contributor 
700 1 0 |a Balakrishnan, Hamsa  |e author 
245 0 0 |a Estimation of Aircraft Taxi-out Fuel Burn using Flight Data Recorder Archives 
260 |b American Institute of Aeronautics and Astronautics (AIAA),   |c 2018-03-30T23:00:57Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/114494 
520 |a The taxi-out phase of a flight accounts for a significant fraction of total fuel burn for aircraft. In addition, surface fuel burn is also a major contributor to CO 2 emissions in the vicinity of airports. It is therefore desirable to have accurate estimates of fuel consumption on the ground. This paper builds a model for estimation of on-ground fuel consumption of an aircraft, given its surface trajectory. Flight Data Recorder archives are used for this purpose. The taxi-out fuel burn is modeled as a linear function of several factors including the taxi-out time, number of stops, number of turns, and number of acceleration events. The statistical significance of each potential factor is investigated. The parameters of the model are estimated using least-squares regression. Since these parameters are estimated using data from operational aircraft, they provide more accurate estimates of fuel burn than methods that use idealized physical models of fuel consumption based on aircraft velocity profiles, or the baseline fuel consumption estimates provided by the International Civil Aviation Organization. Our analysis shows that in addition to the total taxi time, the number of acceleration events is a significant factor in determining taxi fuel consumption. © 2011 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved. 
655 7 |a Article 
773 |t AIAA Guidance, Navigation, and Control Conference