Prototype Implementation and Concept Validation of a 4-D Trajectory Fuel Burn Model Application

Oaks, Robert D.; Ryan, Hollis F.; Paglione, Mike

doi:10.2514/6.2010-8164

Cited by 9 publications

(18 citation statements)

References 1 publication

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“…4 is adequate for fuel estimation, lift was set equal to weight in all phases of flight and thrust was modeled using Eqs. (15) and (16).…”

Section: Model Simplificationmentioning

confidence: 99%

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Fuel Burn Estimation Using Real Track Data

Chatterji

2011

11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference

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A procedure for estimating fuel burned based on actual flight track data, and drag and fuel-flow models is described. The procedure consists of estimating aircraft and wind states, lift, drag and thrust. Fuel-flow for jet aircraft is determined in terms of thrust, true airspeed and altitude as prescribed by the Base of Aircraft Data fuel-flow model. This paper provides a theoretical foundation for computing fuel-flow with most of the information derived from actual flight data. The procedure does not require an explicit model of thrust and calibrated airspeed/Mach profile which are typically needed for trajectory synthesis. To validate the fuel computation method, flight test data provided by the Federal Aviation Administration were processed. Results from this method show that fuel consumed can be estimated within 1% of the actual fuel consumed in the flight test. Next, fuel consumption was estimated with simplified lift and thrust models. Results show negligible difference with respect to the full model without simplifications. An iterative takeoff weight estimation procedure is described for estimating fuel consumption, when takeoff weight is unavailable, and for establishing fuel consumption uncertainty bounds. Finally, the suitability of using radar-based position information for fuel estimation is examined. It is shown that fuel usage could be estimated within 5.4% of the actual value using positions reported in the Airline Situation Display to Industry data with simplified models and iterative takeoff weight computation.

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“…4 is adequate for fuel estimation, lift was set equal to weight in all phases of flight and thrust was modeled using Eqs. (15) and (16).…”

Section: Model Simplificationmentioning

confidence: 99%

“…The main difference is that the fuel estimation procedure is derived from nonlinear equations of motion with point-mass assumptions as opposed to approximations adopted in Ref. 4. Additional contribution of the present work is estimation of aircraft and wind states.…”

Section: Introductionmentioning

confidence: 99%

Fuel Burn Estimation Using Real Track Data

Chatterji

2011

11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference

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“…Some studies have been proposed to improve BADA model. This work considered adaptations in BADA equations proposed by Oaks et al (2010), which enabled fuel burn estimation from actual flight path data (e.g. ADS-B dataset).…”

Section: Fuel Consumptionmentioning

confidence: 99%

A method for estimating flight paths missing data

Almeida

Franco

Ferreira

et al. 2018

Abakos

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A otimização do tráfego aéreo é essencial na reengenharia de operações aeroespaciais à medida que o número de voos e o uso de rotas aéreas crescem no mundo. Os projetos NextGen e SESAR são importantes iniciativas que permitem uma maior escalabilidade e segurança no tráfego aéreo. Um elemento desses projetos é o sistema ADS-B (Automatic Dependent Surveillance-Broadcast), que permite que as aeronaves compartilhem suas posições e velocidade. A cobertura das antenas do sistema ADS-B é limitada em regiões oceânicas e menos economicamente desenvolvidas, resultando na falta de dados das trajetórias realizadas por aeronaves. Este artigo propõe um método baseado em Redes Neurais Artificiais (RNA) interpolação e computação de médias para completar trajetórias de aeronaves parcialmente capturadas pelas antenas do sistema ADS-B. Enquanto outros métodos são focados em uma ou duas dimensões das trajetórias dos voos, este trabalho é focado em completar as quatro dimensões presentes nos dados ADS-B (latitude, longitude, altitude e velocidade em relação ao solo). Este trabalho é útil para viabilizar análises do desempenho de voos históricos realizados em regiões de cobertura limitada, ou ainda, para prever trajetória de voos em sistemas de gerenciamento de sistema aéreo (ATMs). A comparação entre trajetórias reais e estimadas em um conjunto de 517 voos mostrou acurácia superior a 92%

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“…Technological improvements leading to reduced emissions will continue in the future as well as the optimal use of airspace availability. Given such consideration as one of the significant targets, the USA and Europe propose some strategic plans, known as Next Generation (NextGen) [2,3], Single European Sky ATM Research (SESAR), respectively [4], and put highlights on new concepts and procedures to provide great environmental benefits [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Evaluating Fuel Consumption for Continuous Descent Approach Based on QAR Data

Cao

Wang

2019

PROMET

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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.

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Prototype Implementation and Concept Validation of a 4-D Trajectory Fuel Burn Model Application

Cited by 9 publications

References 1 publication

Fuel Burn Estimation Using Real Track Data

Fuel Burn Estimation Using Real Track Data

A method for estimating flight paths missing data

Evaluating Fuel Consumption for Continuous Descent Approach Based on QAR Data

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