Magnus Fürst

Magnus Fürst

PhD Student

Magnus is doing a PhD in the joint doctorate program CLEAN-Gas, which is included in the Marie-Curie innovative training network.

The main research area which Magnus is interested in is related to CFD simulations of new and non-conventional combustion processes, such as flameless combustion and Oxy-fuel combustion. Magnus research will focus on the uncertainties of the chemical kinetics and also ways to reduce the chemical kinetic mechanisms for these kind of simulations.
Firstly to improve the confidence in the chemical kinetics, important parameters will be determined and analyzed with methods like sensitivity analysis. Example of these parameters are the Arrhenius constant, the activation energy, third body efficiencies, etc. These parameters will then be evaluated and adjusted to improve the results of the simulations, which will be validated by using experimental data available from literature.
Then the reduction of the chemical kinetic mechanism will be evaluated through the use of different mechanism reduction methods, such as Direct Relations Graph (DRG), DRG with Error Propagation (DRGEP), Path Flux Analysis (PFA), Dynamic Adaptive Chemistry (DAC), Element Flux Analysis (EFA), etc. The goal is to speed up the simulations by eliminating chemical species that are not of importance and also to reduce the amount of chemical reactions in the mechanism without losing fidelity in the simulations.
These two combined will improve the confidence for CFD simulations of non-conventional combustion regimes and reduce the computational time needed.