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EVALUATING FUEL CONSUMPTION FOR CONTINUOUS DESCENT APPROACH BASED ON QAR DATA

机译：基于QAR数据的连续下降方法燃料消耗评估

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摘要

Fuel savings are a significant aspect for evaluating the current and future technologies of civil aviation. Continu-ous-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.
机译：节省燃油是评估民用航空当前和未来技术的重要方面。作为新概念的代表的连续下降法（CDA）需要一种评估其燃油效益的方法。但是，由于无法获得实际的运行数据，因此很难验证先前的燃油消耗机制是否合适。本文提出了一种量化潜在燃料收益的独特方法。这样就可以轻松评估新程序，而无需在进行现场测试之前进行建模。本文详细介绍了所提出的方法。它从飞机发动机的固有机械特性中得出，并利用历史飞行数据而不是建模来通过匹配快速访问记录器（QAR）数据的飞行条件来预测燃油流量。结果表明，该预测值可预测传统下降的燃油消耗，偏差为±0.73％。为了验证这种方法，本文针对我们设计的CDA程序进行了案例研究。估计基准情景中的油耗以分析对油耗的可变影响。估计的燃料收益与先前的现场测试结果一致。通过减少验证时间和成本，该分析有助于支持空中交通管理部门对最终现场测试的决策。

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