Project Details
Projekt
Modelling differential diffusion in premixed flames using sparse particle methods
Subject Area
Energy Process Engineering
Term
since 2024
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 551953602
The requirement for climate neutrality requires a shift towards renewable, CO2-neutral energy carriers. Against this background, hydrogen offers a climate-neutral alternative as energy carrier of the future. Hydrogen is both, an energy storage medium and an energy carrier, enabling an efficient coupling of different energy sectors while partially utilizing the existing infrastructure. However, the combustion properties of hydrogen differ significantly from those of conventional fossil fuels such as natural gas. Most importantly, flame speeds and the flame stabilization mechanisms change which is primarily due to the increased molecular diffusion of hydrogen. Similar issues arise when hydrogen is blended with conventional or alternative CO2-neutral fuels as can be found in H2/natural gas or H2/ammonia mixtures, respectively. Therefore, accurate predictions of differential diffusion effects are paramount for computer-aided burner development, and the project’s objective is the detailed modelling of differential diffusion in turbulent, premixed flames. A stochastic particle method shall be developed that allows for the inclusion of detailed chemistry and can account for turbulence-chemistry interactions at moderate computational cost. First modelling attempts of differential diffusion in non-premixed flames are promising, but a simple adaption of the successful modelling strategies to premixed flames is prevented by the fundamentally different flame dynamics that prevail is fuel and oxidizer are premixed. The model development for the premixed flames will be supported by direct numerical simulations of rich, stoichiometric and lean hydrogen flames. In addition, specially designed experimental investigations of laboratory flames allow for a validation of the models across a wide parameter range that covers lean and rich mixtures as well as laminar and turbulent flows.
DFG Programme
Research Grants
Co-Investigator
Dr.-Ing. Thorsten Zirwes
