Commercial Aircraft Trajectory Optimization to Reduce Flight Costs and Pollution: Metaheuristic Algorithms

Murrieta-Mendoza, Alejandro; Botez, Ruxandra Mihaela

doi:10.1007/978-981-13-9806-3_2

Cited by 10 publications

(5 citation statements)

References 39 publications

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“…In Nogueira et al (Nogueira et al, 2014) they use and ant colony optimization (ACO) approach. In Murrieta et al (Murrieta‐Mendoza & Botez, 2020), several metaheuristics were compared, but they only focus on solving one flight, and then the next flight based on the already planned before, instead of solving them simultaneously. In Zhang et al (Zhang et al, 2019), a multi‐objective approach called NSGA‐II is used to minimize taxiing time and fuel consumption.…”

Section: State Of the Artmentioning

confidence: 99%

Airport take‐off and landing optimization through genetic algorithms

Guedan‐Pecker,

Ramirez‐Atencia

2024

Expert Systems

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This research addresses the crucial issue of pollution from aircraft operations, focusing on optimizing both gate allocation and runway scheduling simultaneously, a novel approach not previously explored. The study presents an innovative genetic algorithm‐based method for minimizing pollution from fuel combustion during aircraft take‐off and landing at airports. This algorithm uniquely integrates the optimization of both landing gates and take‐off/landing runways, considering the correlation between engine operation time and pollutant levels. The approach employs advanced constraint handling techniques to manage the intricate time and resource limitations inherent in airport operations. Additionally, the study conducts a thorough sensitivity analysis of the model, with a particular emphasis on the mutation factor and the type of penalty function, to fine‐tune the optimization process. This dual‐focus optimization strategy represents a significant advancement in reducing environmental impact in the aviation sector, establishing a new standard for comprehensive and efficient airport operation management.

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Section: State Of the Artmentioning

confidence: 99%

Airport take‐off and landing optimization through genetic algorithms

Guedan‐Pecker,

Ramirez‐Atencia

2024

Expert Systems

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“…Figure 1 shows the Price-Païdoussis subsonic blow down wind tunnel used to carry out the LARCASE experimental studies. Different metaheuristic optimisation algorithms to improve the flight phase cost in terms of fuel burn have been studied for commercial aircraft models [12,13]. Some of the algorithms implemented for different optimisation strategies are genetic algorithms, the artificial bee colony and the ant colony algorithm.…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of the dynamic stall reduction on the UAS-S45 aerofoil using the optimised aerofoil method

Bashir,

Zonzini,

Longtin Martel

et al. 2023

Aeronaut. j.

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This paper investigates the effect of the optimised morphing leading edge (MLE) and the morphing trailing edge (MTE) on dynamic stall vortices (DSV) for a pitching aerofoil through numerical simulations. In the first stage of the methodology, the optimisation of the UAS-S45 aerofoil was performed using a morphing optimisation framework. The mathematical model used Bezier-Parsec parametrisation, and the particle swarm optimisation algorithm was coupled with a pattern search with the aim of designing an aerodynamically efficient UAS-45 aerofoil. The $\gamma - R{e_\theta }$ transition turbulence model was firstly applied to predict the laminar to turbulent flow transition. The morphing aerofoil increased the overall aerodynamic performances while delaying boundary layer separation. Secondly, the unsteady analysis of the UAS-S45 aerofoil and its morphing configurations was carried out and the unsteady flow field and aerodynamic forces were analysed at the Reynolds number of 2.4 × 106 and five different reduced frequencies of k = 0.05, 0.08, 1.2, 1.6 and 2.0. The lift ( ${C_L})$ , drag ( ${C_D})$ and moment ( ${C_M})\;$ coefficients variations with the angle-of-attack of the reference and morphing aerofoils were compared. It was found that a higher reduced frequencies of 1.2 to 2 stabilised the leading-edge vortex that provided its lift variation in the dynamic stall phase. The maximum lift $\left( {{C_{L,max}}} \right)$ and drag $\left( {{C_{D,max}}} \right)\;$ coefficients and the stall angles of attack are evaluated for all studied reduced frequencies. The numerical results have shown that the new radius of curvature of the MLE aerofoil can minimise the streamwise adverse pressure gradient and prevent significant flow separation and suppress the formation of the DSV. Furthermore, it was shown that the morphing aerofoil delayed the stall angle-of-attack by 14.26% with respect to the reference aerofoil, and that the ${C_{L,max}}\;$ of the aerofoil increased from 2.49 to 3.04. However, while the MTE aerofoil was found to increase the overall lift coefficient and the ${C_{L,max}}$ , it did not control the dynamic stall. Vorticity behaviour during DSV generation and detachment has shown that the MTE can change the vortices’ evolution and increase vorticity flux from the leading-edge shear layer, thus increasing DSV circulation. The conclusion that can be drawn from this study is that the fixed drooped morphing leading edge aerofoils have the potential to control the dynamic stall. These findings contribute to a better understanding of the flow analysis of morphing aerofoils in an unsteady flow.

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“…With the substantial increase in carbon dioxide (CO 2 ) emissions into the atmosphere over the past several years [1,2], the aerospace sector has to limit its figures in the near future [3,4]. For that, some solutions are available, such as working on trajectories optimization [5][6][7][8][9][10] or improving aircraft models to design reliable flight simulators [11][12][13][14]. It has been shown that trajectory optimization can save up to 2% of the cost of flights.…”

Section: Introductionmentioning

confidence: 99%

New Aerodynamic Studies of an Adaptive Winglet Application on the Regional Jet CRJ700

et al. 2021

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This study aims to evaluates how an adaptive winglet during flight can improve aircraft aerodynamic characteristics of the CRJ700. The aircraft geometry was slightly modified to integrate a one-rotation axis adaptive winglet. Aerodynamic characteristics of the new adaptive design were computed using a validated high-fidelity aerodynamic model developed with the open-source code OpenFoam. The aerodynamic model successively uses the two solvers simpleFoam and rhoSimpleFoam based on Reynold Averaged Navier Stokes equations. Characteristics of the adaptive winglet design were studied for 16 flight conditions, representative of climb and cruise usually considered by the CRJ700. The adaptive winglet can increase the lift-to-drag ratio by up to 6.10% and reduce the drag coefficient by up to 2.65%. This study also compared the aerodynamic polar and pitching moment coefficients variations of the Bombardier CRJ700 equipped with an adaptive versus a fixed winglet.

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Commercial Aircraft Trajectory Optimization to Reduce Flight Costs and Pollution: Metaheuristic Algorithms

Cited by 10 publications

References 39 publications

Airport take‐off and landing optimization through genetic algorithms

Airport take‐off and landing optimization through genetic algorithms

Numerical investigation of the dynamic stall reduction on the UAS-S45 aerofoil using the optimised aerofoil method

New Aerodynamic Studies of an Adaptive Winglet Application on the Regional Jet CRJ700

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