Contrail Formation: Exploring options for improving prediction methods on the Formation of Contrails from Modern Turbofan Engines

Master Thesis (2023)
Authors

G. Nieuwerth (TU Delft - Aerospace Engineering)

Supervisors

Feijia Yin (Aircraft Noise and Climate Effects)

A. Gangoli Rao (TU Delft - Flight Performance and Propulsion)

Faculty
Aerospace Engineering, Aerospace Engineering
Copyright
© 2023 Gerjan Nieuwerth
More Info
expand_more
Publication Year
2023
Language
English
Copyright
© 2023 Gerjan Nieuwerth
Graduation Date
15-05-2023
Awarding Institution
Delft University of Technology
Programme
Aerospace Engineering
Faculty
Aerospace Engineering, Aerospace Engineering
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The validity of current prediction methods for the formation of contrails from modern turbofan engines is investigated. A modelling framework has been developed for estimating the impact of engine configurations on contrail formation by analyzing the physics of the mixing between core and bypass flow. Within this framework, Engine Performance Modelling yields the flow conditions at exhaust nozzle exits. A 2D axisymmetric CFD Flow Field Solver then determines the flow parameters behind the engine. Water vapour dispersion is simulated using a species transport model, after which contrail locations are determined by a set of criteria for homogeneous ice crystal formation. Finally, particles are tracked to determine mixing lines, which are compared to those from current prediction methods. From a Leap-1A engine case study using this framework, it can be concluded that assumptions of instantaneous mixing underlying current methods are not valid, resulting in their overestimation of the mixing line gradient.

Files

License info not available