碳政策及其对优化大型绿色网络的长期燃料消耗的影响:统一的方法
Mengyuan Sun1, Yong Tian1, Jiangchen Li2
1College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China.
Journal of environmental management
|August 10, 2025
概括
这项研究引入了可持续航空公司网络的新型优化框架,将燃料消耗降低1.17%,提高效率65.42%,同时降低成本和排放.
科学领域:
- 运营研究 运营研究
- 运输科学 运输科学
- 环境工程 环境工程
背景情况:
- 航空公司网络设计对于可持续性至关重要,但当前的枢纽和分支 (HS) 模型与长期的碳减排目标作斗争.
- 对于碳峰值和碳中和性的新兴需求,需要对航空中的燃料消耗和排放采取创新的方法.
研究的目的:
- 为绿色枢纽和分支航空公司网络开发一个随机优化框架,以解决长期碳政策目标.
- 整合燃料驱动的队列机制,以描述燃料消耗和确保网络稳定性.
主要方法:
- 制定了一个全面的随机优化模型,考虑了系统成本,多重污染排放和用户满意度.
- 基于状态的即时方法被用于多槽的长期问题,采用燃料驱动的排队机制来计算每-公里燃油消耗.
- 为燃料驱动队列机制的稳定性分析提供了理论证明.
主要成果:
- 拟议的方法减少了1.17%的燃料消耗,并提高了65.42%的运营效率.
- 模拟显示,运输系统成本,航空排放和乘客满意度的提高同时减少.
- 燃油驱动队列机制在描述燃油消耗方面被证明是稳定的和有效的.
结论:
- 新的随机优化框架成功地将碳政策目标与航空公司网络设计相结合.
- 该方法支持实现碳减排目标,并促进向更绿色的运输网络转型.
- 这一框架为优化航空公司运营,同时最大限度地减少对环境的影响提供了可行的解决方案.
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