Abstract
Aircraft emission targets worldwide and their climatic effects have put pressure in government agencies, aircraft manufacturers and airlines to reduce water vapour, carbon dioxide (\(CO_{2}\)) and oxides of nitrogen (\(NO_{x}\)) resulting from aircraft emissions. The difficulty of reducing emissions including water vapor, carbon dioxide (\(CO_{2}\)) and oxides of nitrogen (\(NO_{x}\)) is mainly due to the fact that a commercial aircraft is usually designed for a particular optimal cruise altitude but may be requested or required to operate and deviate at different altitudes and speeds to archive a desired or commanded flight plan, resulting in increased emissions. This is a multi- disciplinary problem with multiple trade-offs such as optimizing engine efficiency, minimizing fuel burnt and emissions while maintaining prescribed aircraft trajectories, altitude profiles and air safety. There are possible attempts to solve such problems by designing new wing/aircraft shape, new efficient engine, ATM technology, or modifying the aircraft flight plan. Based on the rough data provided by an air carrier company, who was willing to assess the methodology, this paper will present the coupling of an advanced optimization technique with mathematical models and algorithms for aircraft emission, and fuel burnt reduction through flight plan optimization. Two different approaches are presented; the first one describes a deterministic optimization of the flight plan and altitude profile in order to reduce the fuel consumption while reducing time and distance. The second approach presents the robust design optimization of the previous case considering uncertainties on several parameters. Numerical results will show that the methods are able to capture a set of useful trade-offs solutions between aircraft range and fuel consumption, as well as fuel consumption and flight time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
AIRBUS (2008) Getting the grip with; airbus A320 family, performance retention and fuel savings. Flight operations support and services, Airbus, Toulouse, France
BOEING (2007) Fuel conservation strategies: cost index explained. Boeing aero quarterly, Seattle, USA
Busquin P et al (2001) European aeronautics: a vision for 2020; meeting societyās needs and winning global leadership. Report of the group of personalities, European Commission, Luxembourg
Darecki M, Edelstenne C, Enders T, Fernandez E, Hartman P, Herteman J-P, Kerkloh M, King I, Ky P, Mathieu M, Orsi G, Schotman G, Smith C, Worner J-D (2011) Flightpath 2050: Europeās vision for aviation maintaining global leadership and serving societyās needs. Technical Report of the high level group on aviation research, European Commission, Brussels
Deb K (2001) Multi-objective optimization using evolutionary algorithms, vol 16. Wiley, New Jersey
Deb K, Agrawal S, Pratap A, Meyarivan T (2000) A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-II. In: International conference on parallel problem solving from nature. Springer, Heidelberg, pp 849ā858
Deb K, Pratap A, Meyarivan T (2001) Constrained test problems for multi-objective evolutionary optimization. In: International conference on evolutionary multi-criterion optimization. Springer, Heidelberg, pp 284ā298
Deb K, Anand A, Joshi D (2002a) A computationally efficient evolutionary algorithm for real-parameter optimization. Evol Comput 10(4):371ā395
Deb K, Pratap A, Agarwal S, Meyarivan T (2002b) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182ā197
Gonzalez LF, Lee DS, Walker RA, Periaux J (2011) Aircraft emission reduction through multi-disciplinary flight path optimisation. In: Love D (ed) The 14th Australian international aerospace congress (AIAC14). Melbourne Convention Centre, Melbourne, VIC: Waldronsmith Management - AIAC
Lee DS, Periaux J, Gonzalez LF, Srinivas K, Onate E (2012) Robust multidisciplinary UAS design optimisation. Struct Multidiscip Optim 45(3):433ā450
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2018 Springer International Publishing AG
About this paper
Cite this paper
Pons-Prats, J., Bugeda, G., Zarate, F., OƱate, E., Periaux, J. (2018). Applying Multi-objective Robust Design Optimization Procedure to the Route Planning of a Commercial Aircraft. In: Diez, P., NeittaanmƤki, P., Periaux, J., Tuovinen, T., BrƤysy, O. (eds) Computational Methods and Models for Transport. ECCOMAS 2015. Computational Methods in Applied Sciences, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-54490-8_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-54490-8_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-54489-2
Online ISBN: 978-3-319-54490-8
eBook Packages: EngineeringEngineering (R0)