Probability Density Function Modeling of Turbulence/Chemistry Interactions in Methane Flame Enrichment by Hydrogen

Abstract The present investigation illustrates a computational study of the turbulent diffusion flame in a cylindrical burner that is confined by two coaxial jets (methane/hydrogen and air). This is to improve the reactive mixture, the reactants combustion and to reduce the concentration of carbon monoxide as pollutant chemical species. The coupled models LES/PDF are, hereby, used to surmount the turbulence/chemistry interaction in the transport equations of chemical species. The predicted mixture fraction, the progress variable, and the carbon monoxide mass fraction are selected to validate the coupled models with respect to the experimental references data. Furthermore, the same scalar parameters which are considered in the previous numerical validation are evaluated from different fuel compositions of the hydrogen and the methane percentage to supply the combustion chamber. The computed results are carried out by FLUENT-CFD; where, they prove that hydrogen addition reduces the carbon monoxide concentration in the combustion products and improves the reactants combustion caused by the rich mixture.

• methane-hydrogen flames
• turbulent diffusion flames
• turbulence-chemistry interaction
• probability density function
• large eddy simulation
• mixture fraction
• progress variable
• carbon monoxide reduction
• hydrogen enrichment
• pollutant emissions

• 7 — Énergie propre et d’un coût abordable

• Combustion and flame dynamics
• Advanced Combustion Engine Technologies
• Fluid Dynamics and Turbulent Flows
• methane-hydrogen flames
• turbulent diffusion flames
• turbulence-chemistry interaction
• probability density function
• large eddy simulation
• mixture fraction
• progress variable
• carbon monoxide reduction
• Computational Mechanics
• Fluid Flow and Transfer Processes
• Engineering
• Chemical Engineering