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International Conference on Innovative Applied Energy    

E-Proceedings ISBN: 978-1-912532-05-6

14-15 March 2019, Oxford, United Kingdom



Modeling Partially Premixed Turbulent CH4 Flames Using  A Reaction Progress Variable



Jim Kok

University of Twente, Netherlands


Paper Abstract

Accurate and computationally low cost turbulent combustion models for methane are important to predict the combustion stability and emission of nitric oxides of combustor designs. In this paper, a computationally low cost turbulent combustion model for hydrocarbon chemical reaction in gas-turbine-like combustors will be described, which uses reaction progress variables to describe the chemical reaction progress. In such a model the advance of combustion is given by one or several scalar variables that are in- or decreasing monotonously in the flame to a limit value in chemical equilibrium. New in the presented approach is that the reaction progress variables are composed of a linear weighted combination of the species mass fractions. Instead of empirically choosing the best choice of one species mass fraction, the weight factors in the composed concentration for the reaction progress variable are optimized for an accurate projection of the detailed chemistry. This is done by means of  the Conditional Singular Perturbation algorithm. The accuracy of the projection of the detailed GRI 3 reaction mechanism will be verified by a comparison of the computed progress variable source term against the source term as calculated in a laminar flame on basis of detailed chemistry. It will be concluded that the accuracy is good near equilibrium, but needs to be improved away from equilibrium. An empirical fit is proposed. The model is demonstrated with and without improvements on a laboratory scale burner employed at DLR

Paper Keywords
Corresponding author Biography
Jim Kok received his MSc degree in Mechanical Engineering in 1985 and his PhD degree in Applied Physics in 1989 from the University of Twente in the Netherlands. He is an associate professor at the Mechanical Engineering department of this university since 1998. His research covers the fields of turbulent combustion, heat transfer, combustion dynamics and acoustics and soot formation. Both numerical and experimental methods are used. Specific applications studied are gas turbine combustion with gaseous and liquid fuels and combustion processes in furnaces. He has been coordinator of the Marie Curie project LIMOUSINE (2008-2012, thermoacoustic limit cycles) and currently is for the Marie Sklodowska Curie project MAGISTER (2017-2021, combustion dynamics and machine learning).

The International Conference on Innovative Applied Energy (IAPE’18)