Abstract
The emission and contrail of flights at high altitude sector have a great impact on the environment. The paper establishes the multi-objective optimization method of high altitude sector operation based on environmental protection, which can reduce the impact of sector air traffic operation on the environment and enhance the operation efficiency of the high altitude sector. According to the operation characteristics of the sector, the aviation meteorological data of the sector are analyzed, and the forming conditions of the contrail are calculated. Considering the air traffic control rules and aircraft flight characteristics, a multi-objective optimization model of sector flight allocation strategy is established, and the influence of aviation meteorological conditions and different allocation strategy combinations on the optimal operation of sector is analyzed. To solve the multi-objective optimization model, the paper uses an evolutionary computation method in intelligence computing and takes non-dominated sorted genetic algorithm-II with elitist strategy (NSGA-II). Shanghai Area No.20 sector (ZSSSAR20) is selected as the case in this paper. Example verification reveals that taking number of contrails, fuel consumption and flight delays as the optimization targets, aircraft are more likely to rely on altitude deployment strategy so as to better reduce the impact of air traffic operation en route on environment, and improve sector operation efficiency en route.
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References
Mannstein, H., Spichtinger, P., Gierens, K.: A note on how to avoid contrail cirrus. Trans. Res. Part D10(5), 421–426 (2005)
Gierens, K., Limb, L., Eleftheratos, K.: A review of various strategies for contrail avoidance. Open Atmos. Sci. J.2, 1–7 (2008)
Noppel, F., Singh, R.: Overview on contrail and cirrus cloud avoidance technology. J. Aircr.44(5), 1721–1726 (2007)
Schumann, U., Baumann, R., et al.: Properties of individual contrails: a compilation of observations and some comparisons. Atmos. Chem. Phys.17(1), 403–438 (2017)
Lim, Y., Gardi, A., Sabatini, R.: Modelling and evaluation of aircraft contrails for 4-dimensional trajectory optimisation. Sae Int. J. Aerosp.8(2), 1–12 (2015)
Zou, B., Buxi, G.S., Hansen, M.: Optimal 4-d aircraft trajectories in a contrail-sensitive environment. Netw. Spat. Econ.16(1), 1–32 (2016)
Wasiuk, D.K., Lowenberg, M.H., Shallcross, D.E.: An aircraft performance model implementation for the estimation of global and regional commercial aviation fuel burn and emissions. Trans. Res. Part D35, 142–159 (2015)
Chen, D., Hu, M., Han, K., et al.: Short/medium-term prediction for the aviation emissions in the en route airspace considering the fluctuation in air traffic demand. Transp. Res. Part D48, 46–62 (2016)
Yang, M., Chen, Y., Lin, Y., et al.: Multi objective optimization using nondominated sorting genetic algorithm-II for allocation of energy conservation and renewable energy facilities in a campus. Energy Build.122, 120–130 (2016)
Srinivas, N., Deb, K.: Muiltiobjective optimization using nondominated sorting in genetic algorithms. Evolut. Comput.2(3), 221–248 (2014)
Acknowledgements
The authors acknowledge the National Natural Science Foundation of China (Grant No. 61671237).
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College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Yong Tian, Lili Wan & Bojia Ye
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- Lili Wan
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Correspondence toYong Tian.
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Tian, Y., Wan, L. & Ye, B. Multi-objective optimization of high altitude sector operation based on environmental protection.Cluster Comput22 (Suppl 6), 15429–15437 (2019). https://doi.org/10.1007/s10586-018-2615-z
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