Accurate fuel burn estimation models are required to assess potential reductions in CO₂ emissions stemming from new aircraft technologies.

This study provides a novel framework for Fuel Estimation in Air Transportation (FEAT): a two-component approach comprising of (1) a high fidelity flight profile simulator based on the aircraft performance model from EUROCONTROL, and (2) a reduced order fuel consumption approximation with origin-destination airport pair and aircraft type as sole inputs. The latter allows for accurately estimating fuel consumption for global scheduled aircraft movements of an entire year in a matter of milliseconds. We calculate total CO₂ emissions from scheduled commercial aviation in 2018 to be 812 Mt. The modeling error of fuel consumption is validated against fuel burn reports and ranges below 5%.

Current aircraft performance models either focus on fuel estimation accuracy or on computational efficiency. Combining both, FEAT enables rapid assessment of decarbonization strategies for commercial passenger aviation.

需要准确的燃油燃烧估算模型来评估新飞机技术带来的潜在CO ₂排放量减少。

这项研究为航空运输中的燃油估算（FEAT）提供了一个新颖的框架：一种由两部分组成的方法，其中包括（1）基于EUROCONTROL飞机性能模型的高保真飞行剖面模拟器，以及（2）降低订单燃油消耗以始发点-目的地机场对和飞机类型为唯一输入进行近似。后者允许在毫秒之内准确估算全年全球定期飞机飞行的燃油消耗。我们计算得出，2018年定期商用航空的CO ₂总排放量为812 Mt. 燃料消耗的建模误差已针对燃料燃烧报告进行了验证，范围在5％以下。

当前的飞机性能模型要么着重于燃料估计的准确性，要么着重于计算效率。结合两者，FEAT可以快速评估商用客运航空的脱碳策略。