复杂航路网络航空排放精细建模与绿色轨迹优化研究

Fine Modeling of Aviation Emissions and Green Trajectory Optimization of Complex En-route Networks

为准确测算航空排放及其环境影响,有效缓解航路网络大气污染问题,本文提出一种基于四维飞行轨迹与三维空间气象数据分析的复杂航路网络航空排放精细建模与大规模航空器群绿色轨迹优化方法。针对航空器不同飞行状态,建立复杂航路网络CO_(2)排放和凝结尾生成模型,并以全球绝对温变潜力(AGTP)评价航空排放的大气环境影响;进而以最小化AGTP为目标,提出大规模航空器群绿色轨迹优化模型(GTO-LSA),在此基础上,通过挖掘大量历史运行数据的环境影响分布特征,提出基于环境影响阈值的绿色轨迹优化模型(GTO-EIT)。实例分析表明,本文所提方法可有效缓解航空排放的大气环境影响,在25,50,100年时间水平下,GTO-LSA可使环境影响降低11.51%、4.82%及4.20%,GTO-EIT则可降低10.87%、4.05%及3.67%,同时,运行效率平均提升了27.58%,航空器调控架次和调控频次平均下降了50.22%和48.37%。

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 CO_(2) 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.