Aircraft departure fuel consumption assessment method based on flight data analysis

Abstract

Accurate assessment of aircraft fuel consumption is an important means for reducing flight cost and controlling fuel emission of airlines. The invention provides an aircraft departure fuel consumptionassessment method based on flight data analysis. On the basis of the actual flight data of QAR, a function relationship between pneumatic parameters in a fuel consumption model in an off-site climbing stage is fitted, side wind is modeled and added into a fuel consumption evaluation model, and an improved kinematics model of an off-site continuous climbing operation mode is established. Through the method, the problem that aerodynamic parameters in a traditional fuel consumption model need to look up a static chart relation obtained by a wind tunnel test , extra fuel consumption caused by aircraft performance attenuation cannot be estimated, and the calculation result is inaccurate due to the fact that the influence of crosswind on fuel consumption is not involved are solved; and accuratecontrol over the fuel loading amount is achieved, the phenomenon of fuel burning caused by too much fuel filling amount before flight is avoided, and therefore the fuel cost is reduced.

Description

technical field [0001] The invention belongs to airport green traffic technology, in particular to a method for evaluating departure fuel consumption in an airport terminal area under the influence of crosswinds. Background technique [0002] Air traffic continues to grow rapidly and it is predicted that air traffic will double in the next 15 years. At the same time, due to the contradiction between rising fuel prices and environmental policy restrictions, the issue of reducing aircraft fuel consumption has become a hot issue for air traffic control and dispatch managers and researchers. According to the IATA report in 2017, the fuel consumption of aircraft accounts for the largest operating cost expenditure of airlines. Accurately assessing an aircraft's fuel consumption can minimize the harmful impact of fuel emissions on the environment, save fuel energy, reduce flight costs, enable more accurate flight trajectory prediction, and enable efficient air traffic management. ...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above problems, the present invention proposes a method for evaluating the fuel consumption of an aircraft leaving the field based on flight data analysis. On the basis of QAR actual flight data, a function fitting method of real data is used to obtain the functional relationship between the aerodynamic parameters, and Combined with the established crosswind dynamics model, the aircraft fuel consumption model in the climb phase in the BADA database (hereinafter referred to as the BADA fuel consumption model in the climb phase) is corrected to achieve precise control of fuel loading and avoid excessive refueling before flight. Occurrence of "oil burning oil" phenomenon, thereby reducing fuel costs

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