Prediction of aircraft engine emissions using ADS-B flight data
Prediction of aircraft engine emissions using ADS-B flight data
复制标题
使用 ADS-B 飞行数据预测飞机发动机排放
DOI：
10.1017/aer.2021.2
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
T. Kelly
中科院分区：
文献类型：
--
作者：
A. Filippone;Ben Parkes;N. Bojdo;T. Kelly
通过一个数据接口，将广播式自动相关监视系统（ADS-B）的实时飞行数据与飞行性能计算机程序相结合，以预测高空航空排放。ADS-B沿着来自Mode-S的数据，然后用于“飞行”选定的远程飞机模型（空中客车A380-841，A330-343和A350-900）和一个涡轮螺旋桨飞机（ATR 72）。已经处理了2，500多个飞行轨迹，以展示数据库和软件系统之间的集成。排放量计算高度超过3，000英尺（609米），不包括着陆和起飞循环。这一概念验证填补了航空排放清单中的一个空白，因为它使用实时航班，并在非常细的层面上产生估计。它可用于分析特定航线（城市对）、特定飞机、整个机队或季节性的二氧化碳（$\marthm {CO}_2$）、一氧化碳（CO）、氮氧化物（$\marthm {NO}_x$）和水蒸气等气体排放。它示出了如何$\mathrm{NO}_x$和水蒸气排放集中在对流层高度附近，只有远程飞行，巡航范围是最大的绝对值的这些和其他废气排放量。
ABSTRACT Real-time flight data from the Automatic Dependent Surveillance–Broadcast (ADS-B) has been integrated, through a data interface, with a flight performance computer program to predict aviation emissions at altitude. The ADS-B, along with data from Mode-S, are then used to ‘fly’ selected long-range aircraft models (Airbus A380-841, A330-343 and A350-900) and one turboprop (ATR72). Over 2,500 flight trajectories have been processed to demonstrate the integration between databases and software systems. Emissions are calculated for altitudes greater than 3,000 feet (609m) and exclude landing and take-off cycles. This proof of concept fills a gap in the aviation emissions inventories, since it uses real-time flights and produces estimates at a very granular level. It can be used to analyse emissions of gases such as carbon dioxide ($\mathrm{CO}_2$), carbon monoxide (CO), nitrogen oxides ($\mathrm{NO}_x$) and water vapour on a specific route (city pair), for a specific aircraft, for an entire fleet, or on a seasonal basis. It is shown how $\mathrm{NO}_x$ and water vapour emissions concentrate around tropospheric altitudes only for long-range flights, and that the cruise range is the biggest discriminator in the absolute value of these and other exhaust emissions.