Feasibility test of per-flight contrail avoidance in commercial aviation

Contrails, formed by aircraft engines, are a major component of aviation's impact on anthropogenic climate change. Contrail avoidance is a potential option to mitigate this warming effect, however, uncertainties surrounding operational constraints and accurate formation prediction make it unclear whether it is feasible. Here we address this gap with a feasibility test through a randomized controlled trial of contrail avoidance in commercial aviation at the per-flight level. Predictions for regions prone to contrail formation came from a physics-based simulation model and a machine learning model. Participating pilots made altitude adjustments based on contrail formation predictions for flights assigned to the treatment group. Using satellite-based imagery we observed 64% fewer contrails in these flights relative to the control group flights, a statistically significant reduction (p = 0.0331). Our targeted per-flight intervention allowed the airline to track their expected vs actual fuel usage, we found that there is a 2% increase in fuel per adjusted flight. This study demonstrates that per-flight detectable contrail avoidance is feasible in commercial aviation.

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Publication Details

Journal
Communications Engineering
Published
2024-12-20
DOI
https://doi.org/10.1038/s44172-024-00329-7
Citations
9
Primary Topic
Advanced Aircraft Design and Technologies
Type
article
Field-Weighted Citation Impact
2.54
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article

Feasibility test of per-flight contrail avoidance in commercial aviation

Tharun Sankar, Christopher Van Arsdale, Marc Shapiro, Ole Schütt et al.
9 citations
Communications Engineering
Advanced Aircraft Design and Technologies
2.54
article

Feasibility test of per-flight contrail avoidance in commercial aviation

Tharun Sankar, Christopher Van Arsdale, Marc Shapiro, Ole Schütt, Carl Elkin, Frank Opel, Sixing Chen, Brian Norris, John M. Dudley, Zebediah Engberg, Joe Yue-Hei Ng, Scott Geraedts, Thomas Dean, Kevin McCloskey, Aaron Sarna, John Platt, Nibras A.Mohammed Ali, Erica Brand, Aarón Sonabend, Nita Goyal, Ulrike Hager, Joshua E. Rothenberg, Mark Galyen, Rebecca Grenham, Deborah Hecker, Marco Jany, Dinesh Sanekommu, Rachel Soh, Jill Blickstein, Brian Broshears
article en
9 citations

Abstract

Contrails, formed by aircraft engines, are a major component of aviation's impact on anthropogenic climate change. Contrail avoidance is a potential option to mitigate this warming effect, however, uncertainties surrounding operational constraints and accurate formation prediction make it unclear whether it is feasible. Here we address this gap with a feasibility test through a randomized controlled trial of contrail avoidance in commercial aviation at the per-flight level. Predictions for regions prone to contrail formation came from a physics-based simulation model and a machine learning model. Participating pilots made altitude adjustments based on contrail formation predictions for flights assigned to the treatment group. Using satellite-based imagery we observed 64% fewer contrails in these flights relative to the control group flights, a statistically significant reduction (p = 0.0331). Our targeted per-flight intervention allowed the airline to track their expected vs actual fuel usage, we found that there is a 2% increase in fuel per adjusted flight. This study demonstrates that per-flight detectable contrail avoidance is feasible in commercial aviation.

Communications EngineeringVol. 3(1)
Google (United States) (US), American Airlines (United States) (US), Breakthrough (US)
Climate action
Openalex Percentile: Top 10%
Advanced Aircraft Design and Technologies
2.54
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