Multiobjective Environmental Departure Procedure Optimization

McEnteggart, Quintain; Whidborne, James F.

doi:10.2514/1.c033132

Cited by 5 publications

(4 citation statements)

References 31 publications

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“…Although it is recognized that operational changes and trajectory optimizations can further reduce the fuel burn [25,26] and ATR [27], such improved operational schemes are outside the scope of the current study. Nevertheless, it is recommended to perform a simultaneous optimization of the aircraft design and operations to minimize the climate impact, including non-CO 2 effects, in the future by employing similar approaches as were taken in previous studies [23,28].…”

mentioning

confidence: 99%

Airplane Design Optimization for Minimal Global Warming Impact

Proesmans

Vos

2022

Journal of Aircraft

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This paper presents a method to assess the key performance indicators of aircraft designed for minimum direct operating costs and aircraft designed for minimum global warming impact. The method comprises a multidisciplinary aircraft optimization algorithm capable of changing wing, engine, and mission design variables while including constraints on flight and field performance. The presented methodology uses traditional class-I methods augmented with dedicated class-II models to increase the sensitivity of the performance indicators to relevant design variables. The global warming impact is measured through the average temperature response caused by several emission species (including carbon dioxide, nitrogen oxides, and contrail formation) over a prolonged period of 100 years. The analysis routines are verified against experimental data or higher-order methods. The design algorithm is subsequently applied to a single-aisle medium-range aircraft, demonstrating that a 57% reduction in average temperature response can be achieved as compared to an aircraft optimized for minimal operating costs. This reduction is realized by flying at 7.6 km and Mach 0.60, and by lowering the engine overall pressure ratio to approximately 37. However, to compensate for the lower productivity, it is estimated that 13% more climate-optimized aircraft have to be operated for the hypothetical fleet under consideration.

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confidence: 99%

Airplane Design Optimization for Minimal Global Warming Impact

Proesmans

Vos

2022

Journal of Aircraft

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“…In the past few years, some research has been conducted on the issue of trajectory optimization. The objectives are to improve traffic efficiency [5,29], minimize fuel consumption [10,27,28,39], minimize aircraft emission and noise impact [12,15,24], minimize the total flying cost [32,42], or their combinations [18]. Some other related issues include the airspace constraints in the optimization model [15], estimation of environmental performance indicators [19], characterization of aircraft emissions [38], trajectory optimization methods [31,32], the environmental and macroeconomic impact of the implementation of energy taxation or emissions trading scheme [1,3,9,11,37], the economic and environmental efficiency of airlines [4,23], etc.…”

Section: Trajectory Optimizationmentioning

confidence: 99%

Spatial–Temporal Clustering and Optimization of Aircraft Descent and Approach Trajectories

Yang

Tang

Chen

et al. 2021

Int. J. Aeronaut. Space Sci.

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This study presents a procedure for the spatial-temporal clustering and optimization of aircraft descent and approach trajectories. First, the spatial-temporal similarity between two trajectories is defined. Clustering analysis are conducted to identify the prevailing trajectories. The clustering centers obtained based on spatial-temporal distance are compared with those obtained based on the traditional Euclidean distance. Second, a multi-objective optimization model is established to minimize fuel consumption, aircraft emission and noise impact considering flight constraints. The Pareto solution that has the highest similarity with the prevailing trajectories is selected as the final optimized trajectory. The performance indicators of the optimized trajectory are compared with the average values of historic trajectories. It is found that travel time, fuel consumption and noise impact for the optimized trajectory are reduced by 5.34%, 0.96% and 11.86%, respectively. The percentages are 0.96%, 1.32%, 9.18%, 3.54% and 4.00% for CO 2 , SO x , NO x , CO and HC, respectively. Also, the performance indicators for the two clustering centers based on spatial-temporal distance are generally closer to average performance of original trajectories, as well as those of the optimized trajectories, as compared with the two clustering centers based on Euclidean distance. The spatial-temporal clustering methods may help to discover the valuable information that lies in those indicators associated with features reflected in time dimension.

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“…However, they are not competent enough for practical application due to time and space complexities. Recently, a series of alternatives to the mathematical programming methods have emerged to generate near-optimal solutions of ATO based on metaheuristics techniques, including the genetic algorithm (GA) [16], the simulated annealing (SA) [17], the particle swarm optimization (PSO) [18], and the differential evolution algorithm (DEA) [19]. Although these metaheuristics methods have an advantage in reducing time consumption based on heuristic rules, the optimality of obtained solutions is questionable for the randomness in choosing the initial population [20].…”

Section: Introductionmentioning

confidence: 99%

A Scheme of Sustainable Trajectory Optimization for Aircraft Cruise Based on Comprehensive Social Benefit

Tian

Yang

et al. 2021

Discrete Dynamics in Nature and Society

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The increasing demand for environmentally friendly and passenger-favored flight operation requires a systematic scheme of sustainable trajectory optimization for the aircraft cruise. This paper achieves it by proposing an innovative performance framework based on the comprehensive benefit to the society considering both economic and noneconomic ones, following which the sustainable trajectory optimization problem is modeled by discretization. A method combining forward recurrence and memoization operation, called memoization dynamic programming, is developed to solve the model with computational efficiency. Working with real-world operational data of a typical flight route, we demonstrate the effectiveness of the proposed scheme at different levels and explore the difference in its performance due to meteorological conditions, aircraft type, and time horizon. The scheme is proved to perform robustly in comprehensive performance with a stable benefit rate of about 8% through sensitivity analysis, by which we find that it is relatively better for the flights cruising on business route with a load factor of 85%. Tradeoff results suggest that the systematic consideration of both the economic and noneconomic performance contributes to improved integrated sustainability. In particular, the optimal comprehensive performance at a monthly level can be obtained when accepting an additional $26,500 economic cost.

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Multiobjective Environmental Departure Procedure Optimization

Cited by 5 publications

References 31 publications

Airplane Design Optimization for Minimal Global Warming Impact

Airplane Design Optimization for Minimal Global Warming Impact

Spatial–Temporal Clustering and Optimization of Aircraft Descent and Approach Trajectories

A Scheme of Sustainable Trajectory Optimization for Aircraft Cruise Based on Comprehensive Social Benefit

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