Non-premixed combustion modelling and its applications
Numerical and experimental aspects
Time: Thu 2024-06-13 10.00
Location: D3, Lindstedtsvägen 5, Stockholm
Language: English
Subject area: Chemical Engineering
Doctoral student: Zari Musavi , Processteknologi
Opponent: Doktor Nils Erland Haugen, SINTEF, Norge
Supervisor: Professor Klas Engvall, Processteknologi; Professor Lars Pettersson, Processteknologi
QC 20240516
Abstract
The society depends on combustion reactions to provide many of our most basic needs, such as heat, light, and transportation. Understanding combustion processes is crucial for mitigating the impact of emissions on the environment and climate change, which pose health risks to populations worldwide. This thesis describes the studies of the complexities of fluid dynamics, kinetics, combustion, and soot modelling in various burner configurations.
While established models like the k-ε turbulent model offer simplicity, alternative models such as the transition SST model show promise in capturing swirl flow dynamics, although with increased computational demands. Kinetics and combustion modelling strategies vary, with the probability density function (PDF) approach proving effective in determining flame positions and temperature ranges. Detailed kinetic mechanisms with real-time fluid dynamics enhance the understanding of combustion dynamics and species behaviour. Soot modelling confronts challenges in predicting particle size distributions accurately, highlighting the limitations of commercial modelling packages. Restructuring geometric representations to one dimension enhances the incorporation of complex soot and combustion models, leading to improved predictions using fewer computational resources.
The work emphasizes the need for robust modelling modules validated across diverse combustion conditions and underscores the ongoing quest for stronger links between academic studies and industrial applications. Finally, the work provides insights into CFD modelling complexities in combustion systems, highlighting the necessity of continued refinement and validation of modelling approaches to bridge theoretical studies with practical applications.