Fine Modeling of Aviation Emissions and Green Trajectory Optimization of Complex En-route Networks
In order to accurately measure aviation emissions and their environmental impacts,and thus mitigate the air pollution problem of the aviation networks,this paper proposes a method for fine modeling of aviation emissions and green trajectory optimization of large-scale aircraft fleets based on four-dimensional flight trajectories and three-dimensional spatial meteorological data analysis.For different flight states of aircrafts,a CO2 emission model and a contrail generation model are established,and the atmospheric environmental impact of aviation emissions is evaluated by the global absolute temperature potential(AGTP).Further,with the objective of minimizing the AGTP,a green trajectory optimization model for the large-scale aircraft fleet(GTO-LSA)is proposed,and an environmental impact threshold based green trajectory optimization(GTO-EIT)method is proposed by mining the environmental impact distribution characteristics of a large amount of historical operation data.Case study shows that the proposed method can effectively alleviate the atmospheric environmental impact of aviation emissions.And GTO-LSA can reduce the environmental impacts by 11.51%,4.82%,and 4.20%,while GTO-EIT can reduce the environmental impacts by 10.87%,4.05%,and 3.67%at the time levels of 25,50,and 100 years.The operation efficiency is increased by 27.58%on average,and the aircraft regulation sorties and regulation frequency decreased by 50.22%and 48.37%on average.
air transportationgreen transportationtrajectory optimizationenvironmental impactscontrailCO2 emissions
万方数据
维普
