Evaluating Fuel Consumption for Continuous Descent Approach Based on QAR Data

Author:

Ye Lisha,Cao Li,Wang Xuhui

Abstract

Fuel savings are a significant aspect for evaluating the current and future technologies of civil aviation. Continuous-Descent Approach (CDA), as a representative of new concepts, requires a method for evaluating its fuel benefits. However, because of unavailability of the practical operational data, it is difficult to validate whether the previous fuel consumption mechanisms are suitable. This paper presents a unique method for quantifying potential fuel benefits. This permits an easy evaluation for the new procedures without modelling before implementing field tests. The proposed method is detailed in this paper. It derives from the inherent mechanical characteristic of aircraft engine, and utilizes historical flight data, rather than modelling, to predict fuel flow rates by matching flight conditions from Quick Access Recorder (QAR) data. The result has been shown to predict fuel consumption for conventional descent with the deviation of ±0.73%. To validate such method, a case study for our designed CDA procedure is presented. Fuel consumptions in baseline scenarios are estimated to analyse the variable impacts on fuel consumption. The estimated fuel benefits are consistent with the results in the previous field tests. This analysis helps support Air Traffic Management decisions on eventual field test by reducing the validation time and cost.

Publisher

Faculty of Transport and Traffic Sciences

Subject

Engineering (miscellaneous),Ocean Engineering,Civil and Structural Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hybrid Flight Physics and QAR Data Based Mission Fuel Performance Model for Transport Aircraft;AIAA SCITECH 2024 Forum;2024-01-04

2. A Review of the Research of Quick Access Recorder data;Academic Journal of Science and Technology;2023-02-28

3. A Data-driven Integrated Safety Risk Warning Model based on Deep Learning for Civil Aircraft;IEEE Transactions on Aerospace and Electronic Systems;2022

4. Calculation and analysis of pollutants during takeoff and landing based on airborne data;Environmental Progress & Sustainable Energy;2021-08-18

5. Uncertainty and its driving factors of airport aircraft pollutant emissions assessment;Transportation Research Part D: Transport and Environment;2021-05

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