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Title: Numerical simulation of premixed turbulent methane combustion

Abstract

In this paper we study the behavior of a premixed turbulent methane flame in three dimensions using numerical simulation. The simulations are performed using an adaptive time-dependent low Mach number combustion algorithm based on a second-order projection formulation that conserves both species mass and total enthalpy. The species and enthalpy equations are treated using an operator-split approach that incorporates stiff integration techniques for modeling detailed chemical kinetics. The methodology also incorporates a mixture model for differential diffusion. For the simulations presented here, methane chemistry and transport are modeled using the DRM-19 (19-species, 84-reaction) mechanism derived from the GRIMech-1.2 mechanism along with its associated thermodynamics and transport databases. We consider a lean flame with equivalence ratio 0.8 for two different levels of turbulent intensity. For each case we examine the basic structure of the flame including turbulent flame speed and flame surface area. The results indicate that flame wrinkling is the dominant factor leading to the increased turbulent flame speed. Joint probability distributions are computed to establish a correlation between heat release and curvature. We also investigate the effect of turbulent flame interaction on the flame chemistry. We identify specific flame intermediates that are sensitive to turbulence and explore various correlationsmore » between these species and local flame curvature. We identify different mechanisms by which turbulence modulates the chemistry of the flame.« less

Authors:
; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Director, Office of Science. Office of Advanced Scientific Computing Research. Mathematical, Information, and Computational Sciences Division (US)
OSTI Identifier:
791805
Report Number(s):
LBNL-49331
R&D Project: KS1120; TRN: US200204%%122
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Conference
Resource Relation:
Conference: 29th International Symposium on Combustion, Sapporo (JP), 07/21/2002--07/26/2002; Other Information: PBD: 14 Dec 2001
Country of Publication:
United States
Language:
English
Subject:
03 NATURAL GAS; COMBUSTION KINETICS; FLAMES; MACH NUMBER; METHANE; COMPUTERIZED SIMULATION; SURFACE AREA; TURBULENT FLOW; LOW MACH NUMBER REACTING FLOW TURBULENCE PREMIXED FLAME

Citation Formats

Bell, John B, Day, Marcus S, and Grcar, Joseph F. Numerical simulation of premixed turbulent methane combustion. United States: N. p., 2001. Web.
Bell, John B, Day, Marcus S, & Grcar, Joseph F. Numerical simulation of premixed turbulent methane combustion. United States.
Bell, John B, Day, Marcus S, and Grcar, Joseph F. 2001. "Numerical simulation of premixed turbulent methane combustion". United States. https://www.osti.gov/servlets/purl/791805.
@article{osti_791805,
title = {Numerical simulation of premixed turbulent methane combustion},
author = {Bell, John B and Day, Marcus S and Grcar, Joseph F},
abstractNote = {In this paper we study the behavior of a premixed turbulent methane flame in three dimensions using numerical simulation. The simulations are performed using an adaptive time-dependent low Mach number combustion algorithm based on a second-order projection formulation that conserves both species mass and total enthalpy. The species and enthalpy equations are treated using an operator-split approach that incorporates stiff integration techniques for modeling detailed chemical kinetics. The methodology also incorporates a mixture model for differential diffusion. For the simulations presented here, methane chemistry and transport are modeled using the DRM-19 (19-species, 84-reaction) mechanism derived from the GRIMech-1.2 mechanism along with its associated thermodynamics and transport databases. We consider a lean flame with equivalence ratio 0.8 for two different levels of turbulent intensity. For each case we examine the basic structure of the flame including turbulent flame speed and flame surface area. The results indicate that flame wrinkling is the dominant factor leading to the increased turbulent flame speed. Joint probability distributions are computed to establish a correlation between heat release and curvature. We also investigate the effect of turbulent flame interaction on the flame chemistry. We identify specific flame intermediates that are sensitive to turbulence and explore various correlations between these species and local flame curvature. We identify different mechanisms by which turbulence modulates the chemistry of the flame.},
doi = {},
url = {https://www.osti.gov/biblio/791805}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 14 00:00:00 EST 2001},
month = {Fri Dec 14 00:00:00 EST 2001}
}

Conference:
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