Feasibility of contrail avoidance in a commercial flight planning system: an operational analysis

Alejandra Martin Frias, Marc Shapiro, Zebediah Engberg, Raimund Zopp, Manuel Soler, M. Stettler
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Abstract

Aircraft condensation trails, also known as contrails, contribute a substantial portion of aviation’s overall climate footprint. Contrail impacts can be reduced through smart flight planning that avoids contrail-forming regions of the atmosphere. While previous studies have explored the operational impacts of contrail avoidance in simulated environments, this paper aims to characterize the feasibility and cost of contrail avoidance precisely within a commercial flight planning system. This study leverages the commercial Flightkeys 5D (FK5D) algorithm, developed by Flightkeys GmbH, with a prototypical contrail forecast model based on the Contrail Cirrus Prediction (CoCiP) model to simulate contrail avoidance on 49,411 flights during the first two weeks of June 2023, and 35,429 flights during the first two weeks of January 2024. The utilization of a commercial flight planning system enables high-accuracy estimates of additional cost and fuel investments by operators to achieve estimated reductions in contrail-energy forcing and overall flight Global Warming Potential (GWP). The results show that navigational contrail avoidance will require minimal additional cost (0.08%) and fuel (0.11%) investments to achieve notable reductions in contrail climate forcing (-73.0%). This simulation provides evidence that contrail mitigation entails very low operational risks, even regarding fuel. This study aims to serve as an incentive for operators and air traffic controllers to initiate contrail mitigation testing as soon as possible and begin reducing aviation’s non-CO2 emissions.
在商业飞行规划系统中避开烟雾的可行性:运行分析
飞机凝结的尾迹,也被称为 "忌迹",在航空的总体气候足迹中占了很大一部分。通过智能飞行规划,避开大气层中形成忌迹的区域,可以减少忌迹的影响。之前的研究已经探讨了在模拟环境中避开烟云对运行的影响,而本文旨在描述在商业飞行计划系统中精确避开烟云的可行性和成本。本研究利用 Flightkeys GmbH 开发的商用 Flightkeys 5D (FK5D) 算法和基于 Contrail Cirrus Prediction(CoCiP)模型的原型 contrail 预测模型,对 2023 年 6 月前两周的 49,411 次航班和 2024 年 1 月前两周的 35,429 次航班进行了 contrail avoidance 模拟。利用商业飞行计划系统,可以高精度地估算出运营商为实现估计的飞行轨迹能量强迫和整体飞行全球升温潜能值(GWP)的减少所需的额外成本和燃料投资。结果表明,避开飞行轨迹只需最低限度的额外成本(0.08%)和燃料(0.11%)投资,就能显著降低飞行轨迹的气候强迫(-73.0%)。这一模拟提供了证据,证明减少尾迹带来的运行风险非常低,甚至在燃料方面也是如此。这项研究旨在鼓励运营商和空中交通管制员尽快启动飞行轨迹减缓测试,开始减少航空业的非二氧化碳排放。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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