Aircraft Contrail Prediction for Commercial FlightsShow others and affiliations
2025 (English)In: ICNS 2025 - Integrated Communications, Navigation and Surveillance Conference: Integrated CNS: Towards Innovative and Efficient CNS Service Provision, Institute of Electrical and Electronics Engineers (IEEE) , 2025Conference paper, Published paper (Refereed)
Abstract [en]
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 10% of the flight time. When contrail optimizing the trajectory, this figure could be reduced by 70% at a minimal increase in fuel cost.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025.
Keywords [en]
aircraft trajectory optimization, contrail prediction
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-363993DOI: 10.1109/ICNS65417.2025.10976888ISI: 001516425900085Scopus ID: 2-s2.0-105005194660OAI: oai:DiVA.org:kth-363993DiVA, id: diva2:1962829
Conference
2025 Integrated Communications, Navigation and Surveillance Conference, ICNS 2025, Brussels, Belgium, April 8-10, 2025
Note
Part of ISBN 9798331534738
QC 20250605
2025-06-022025-06-022025-12-05Bibliographically approved