Aircraft Contrail Prediction for Commercial Flights

Contrails typically form at high altitudes and are dependent on atmospheric conditions and engine efficiency. These trails may dissipate quickly or remain persistent, with the latter having an effect on global warming. This study uses theoretical contrail models applied as a real-time prediction tool to analyze the contrail generation of the fleet of a European airline operator. The prediction model is further used with a vertical cost optimization to generate a contrail minimized trajectory. Results estimate persistent contrail generation during an average of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 0 \%}$</tex> of the flight time. When contrail optimizing the trajectory, this figure could be reduced by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{7 0 \%}$</tex> at a minimal increase in fuel cost.

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Publication Details

Published
2025-04-08
DOI
https://doi.org/10.1109/icns65417.2025.10976888
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Aircraft Contrail Prediction for Commercial Flights

Lisa Larsson, Billy Josefsson, Chirag Bipinchandra Kundgol, Jacob Wrase et al.
Air Traffic Management and Optimization
article

Aircraft Contrail Prediction for Commercial Flights

Lisa Larsson, Billy Josefsson, Chirag Bipinchandra Kundgol, Jacob Wrase, David Rytter
article en

Abstract

Contrails typically form at high altitudes and are dependent on atmospheric conditions and engine efficiency. These trails may dissipate quickly or remain persistent, with the latter having an effect on global warming. This study uses theoretical contrail models applied as a real-time prediction tool to analyze the contrail generation of the fleet of a European airline operator. The prediction model is further used with a vertical cost optimization to generate a contrail minimized trajectory. Results estimate persistent contrail generation during an average of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{1 0 \%}$</tex> of the flight time. When contrail optimizing the trajectory, this figure could be reduced by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{7 0 \%}$</tex> at a minimal increase in fuel cost.

Avtech (Sweden) (SE), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 87%
Air Traffic Management and Optimization
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