复杂航路网络航空排放精细建模与绿色轨迹优化研究

doi:10.16097/j.cnki.1009-6744.2024.05.029

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (5): 318-326.DOI: 10.16097/j.cnki.1009-6744.2024.05.029

• 系统工程理论与方法 • 上一篇

复杂航路网络航空排放精细建模与绿色轨迹优化研究

陈丹^*1a，汤程^1a，张昊^1a，马园园²，徐凤^1b

1. 南京工程学院，a. 汽车与轨道交通学院，b. 经济与管理学院，南京 211167；2. 中国电子科技集团公司第二十八研究所，空中交通管理系统全国重点实验室, 南京 210014

收稿日期:2024-02-24 修回日期:2024-07-24 接受日期:2024-08-05 出版日期:2024-10-25 发布日期:2024-10-23
作者简介:陈丹(1988- )，女，湖北荆州人，副教授。
基金资助:
江苏省自然科学基金面上基金(2021YFF0603900)；江苏省大学生实践创新训练计划项目(202311276042Z)。

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

CHEN Dan^*1a, TANG Cheng^1a, ZHANG Hao^1a, MA Yuanyuan², XU Feng^1b

1a. School of Automotive & Rail Transit, 1b. Faculty of Economics and Management, Nanjing Institute of Technology, Nanjing 211167, China; 2. National Key Laboratory of Air Traffic Management System, 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210014, China

Received:2024-02-24 Revised:2024-07-24 Accepted:2024-08-05 Online:2024-10-25 Published:2024-10-23
Supported by:
Natural Science Foundation of Jiangsu Province (BK20241967)；National Key R&D Program of China (2021YFF0603900)；Practical Innovation Training Program for University Students in Jiangsu Province (202311276042Z)。

摘要/Abstract

摘要： 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CO2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%。

关键词: 航空运输, 绿色交通, 轨迹优化, 环境影响, 凝结尾, CO2排放

Abstract: 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 threedimensional 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.

Key words: air transportation, green transportation, trajectory optimization, environmental impacts, contrail, CO2 emissions

中图分类号:

陈丹, 汤程, 张昊, 马园园, 徐凤. 复杂航路网络航空排放精细建模与绿色轨迹优化研究[J]. 交通运输系统工程与信息, 2024, 24(5): 318-326.

CHEN Dan, TANG Cheng, ZHANG Hao, MA Yuanyuan, XU Feng. Fine Modeling of Aviation Emissions and Green Trajectory Optimization of Complex En-route Networks[J]. Journal of Transportation Systems Engineering and Information Technology, 2024, 24(5): 318-326.

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http://www.tseit.org.cn/CN/Y2024/V24/I5/318

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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

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