Fueling rule analysis and fuel charge prediction of jet fuel in airport

HAO Qian

doi:10.6047/j.issn.1000-8241.2016.03.016

Oil & Gas Storage and Transportation > 2016 > 35(3): 315-320. > DOI: 10.6047/j.issn.1000-8241.2016.03.016

HAO Qian. Fueling rule analysis and fuel charge prediction of jet fuel in airport[J]. Oil & Gas Storage and Transportation, 2016, 35(3): 315-320. DOI: 10.6047/j.issn.1000-8241.2016.03.016

Citation:

HAO Qian. Fueling rule analysis and fuel charge prediction of jet fuel in airport[J]. Oil & Gas Storage and Transportation, 2016, 35(3): 315-320. DOI: 10.6047/j.issn.1000-8241.2016.03.016

Citation:

HAO Qian. Fueling rule analysis and fuel charge prediction of jet fuel in airport[J]. Oil & Gas Storage and Transportation, 2016, 35(3): 315-320. DOI: 10.6047/j.issn.1000-8241.2016.03.016

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Fueling rule analysis and fuel charge prediction of jet fuel in airport

HAO Qian

Beijing Aviation Oil Construction Limited Company

More Information

Received Date: March 13, 2015
Revised Date: November 11, 2015
Available Online: August 20, 2023
Published Date: December 09, 2015

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Abstract

Abstract

In order to reasonably plan the construction and expansion of civil transport airport, based on the historical fueling data of airport, this paper analyzes the relationship between fuel charges of jet fuel in airport and main influencing factors including passenger throughput and aircraft refueling sorties. A software predicting the fuel charges of jet fuel in civil transport airport is developed, which adopts many prediction methods including proportional coefficient method, linear regression method, grey theory and neural network to analyze the fueling data of specific airport and predict the fuel charge of jet fuel in the future. By comparing with the basic data from different airports, it is concluded that the proposed combined prediction model for the fuel charge of jet fuel in airport can offer accurate prediction and the application of prediction software is very convenient. The prediction model and software can provide theoretical guidance for the design or construction of airport in the future.
- airport,
- fuel charge,
- prediction model,
- linear regression,
- grey theory,
- neutral network

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