A Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft

Though the development of China’s civil aviation and the improvement of control ability have strengthened the safety operation and support ability effectively, the airlines are under the pressure of operation costs due to the increase of aircraft fuel price. With the development of optimization cont...

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Autores principales:	Lisha Li, Shuming Yuan, Yue Teng, Jing Shao
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	aircraft fuel PBCF (performance-based contingency fuel) LSTM circular economy neural network Technology T
Acceso en línea:	https://doaj.org/article/f640780a34b84a20ba1406ba3e6c2079
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id	oai:doaj.org-article:f640780a34b84a20ba1406ba3e6c2079
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spelling	oai:doaj.org-article:f640780a34b84a20ba1406ba3e6c20792021-11-25T17:26:38ZA Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft10.3390/en142275591996-1073https://doaj.org/article/f640780a34b84a20ba1406ba3e6c20792021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7559https://doaj.org/toc/1996-1073Though the development of China’s civil aviation and the improvement of control ability have strengthened the safety operation and support ability effectively, the airlines are under the pressure of operation costs due to the increase of aircraft fuel price. With the development of optimization controlling methods in flight management systems, it becomes increasingly challenging to cut down flight fuel consumption by control the flight status of the aircraft. Therefore, the airlines both at home and abroad mainly rely on the accurate estimation of aircraft fuel to reduce fuel consumption, and further reduce its carbon emission. The airlines have to take various potential factors into consideration and load more fuel to cope with possible negative situation during the flight. Therefore, the fuel for emergency use is called PBCF (Performance-Based Contingency Fuel). The existing PBCF forecasting method used by China Airlines is not accurate, which fails to take into account various influencing factors. This paper aims to find a method that could predict PBCF more accurately than the existing methods for China Airlines.This paper takes China Eastern Airlines as an example. The experimental data of flight fuel of China Eastern Airlines Co, Ltd. were collected to find out the relevant parameters affecting the fuel consumption, which is followed by the establishment of the LSTM neural network through the parameters and collected data. Finally, through the established neural network model, the PBCF addition required by the airline with different influencing factors is output. It can be seen from the results that the all the four models are available for the accurate prediction of fuel consumption. The amount of data of A319 is much larger than that of A320 and A330, which leads to higher accuracy of the model trained by A319. The study contributes to the calculation methods in the fuel-saving project, and helps the practitioners to learn about a particular fuel calculation method. The study brought insights for practitioners to achieve the goal of low carbon emission and further contributed to their progress towards circular economy.Lisha LiShuming YuanYue TengJing ShaoMDPI AGarticleaircraft fuelPBCF (performance-based contingency fuel)LSTMcircular economyneural networkTechnologyTENEnergies, Vol 14, Iss 7559, p 7559 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	aircraft fuel PBCF (performance-based contingency fuel) LSTM circular economy neural network Technology T
spellingShingle	aircraft fuel PBCF (performance-based contingency fuel) LSTM circular economy neural network Technology T Lisha Li Shuming Yuan Yue Teng Jing Shao A Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft
description	Though the development of China’s civil aviation and the improvement of control ability have strengthened the safety operation and support ability effectively, the airlines are under the pressure of operation costs due to the increase of aircraft fuel price. With the development of optimization controlling methods in flight management systems, it becomes increasingly challenging to cut down flight fuel consumption by control the flight status of the aircraft. Therefore, the airlines both at home and abroad mainly rely on the accurate estimation of aircraft fuel to reduce fuel consumption, and further reduce its carbon emission. The airlines have to take various potential factors into consideration and load more fuel to cope with possible negative situation during the flight. Therefore, the fuel for emergency use is called PBCF (Performance-Based Contingency Fuel). The existing PBCF forecasting method used by China Airlines is not accurate, which fails to take into account various influencing factors. This paper aims to find a method that could predict PBCF more accurately than the existing methods for China Airlines.This paper takes China Eastern Airlines as an example. The experimental data of flight fuel of China Eastern Airlines Co, Ltd. were collected to find out the relevant parameters affecting the fuel consumption, which is followed by the establishment of the LSTM neural network through the parameters and collected data. Finally, through the established neural network model, the PBCF addition required by the airline with different influencing factors is output. It can be seen from the results that the all the four models are available for the accurate prediction of fuel consumption. The amount of data of A319 is much larger than that of A320 and A330, which leads to higher accuracy of the model trained by A319. The study contributes to the calculation methods in the fuel-saving project, and helps the practitioners to learn about a particular fuel calculation method. The study brought insights for practitioners to achieve the goal of low carbon emission and further contributed to their progress towards circular economy.
format	article
author	Lisha Li Shuming Yuan Yue Teng Jing Shao
author_facet	Lisha Li Shuming Yuan Yue Teng Jing Shao
author_sort	Lisha Li
title	A Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft
title_short	A Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft
title_full	A Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft
title_fullStr	A Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft
title_full_unstemmed	A Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft
title_sort	study on sustainable consumption of fuel—an estimation method of aircraft
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f640780a34b84a20ba1406ba3e6c2079
work_keys_str_mv	AT lishali astudyonsustainableconsumptionoffuelanestimationmethodofaircraft AT shumingyuan astudyonsustainableconsumptionoffuelanestimationmethodofaircraft AT yueteng astudyonsustainableconsumptionoffuelanestimationmethodofaircraft AT jingshao astudyonsustainableconsumptionoffuelanestimationmethodofaircraft AT lishali studyonsustainableconsumptionoffuelanestimationmethodofaircraft AT shumingyuan studyonsustainableconsumptionoffuelanestimationmethodofaircraft AT yueteng studyonsustainableconsumptionoffuelanestimationmethodofaircraft AT jingshao studyonsustainableconsumptionoffuelanestimationmethodofaircraft
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A Study on Sustainable Consumption of Fuel—An Estimation Method of Aircraft

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