Evaluation Method of Aircraft Departure Fuel Consumption Based on Flight Data Analysis

Abstract

Accurate assessment of aircraft fuel consumption is an important means for airlines to reduce flight costs and control fuel emissions. The present invention proposes an aircraft departure fuel consumption evaluation method based on flight data analysis. On the basis of QAR actual flight data, it fits the functional relationship between the aerodynamic parameters in the fuel consumption model during the departure climb stage, and models the crosswind And adding it to the fuel consumption evaluation model, the improved kinematics model of the departure continuous climb operation mode is established. Through the present invention, it is solved that the aerodynamic parameters in the traditional fuel consumption model need to consult the static chart relationship obtained by the wind tunnel test, and the extra fuel consumption caused by the aircraft performance attenuation cannot be estimated, and the influence of the crosswind on the fuel consumption is not involved, resulting in The technical problem of inaccurate calculation results realizes the precise control of fuel loading, avoids the phenomenon of "oil burning" caused by excessive refueling before flight, and reduces fuel costs.

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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