2021
DOI: 10.3390/en14185695
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Comparison of Flame Propagation Statistics Based on Direct Numerical Simulation of Simple and Detailed Chemistry. Part 2: Influence of Choice of Reaction Progress Variable

Abstract: Flame propagation statistics for turbulent, statistically planar premixed flames obtained from 3D Direct Numerical Simulations using both simple and detailed chemistry have been evaluated and compared to each other. To achieve this, a new database has been established encompassing five different conditions on the turbulent combustion regime diagram, using nearly identical numerical methods and the same initial and boundary conditions. The discussion includes interdependencies of displacement speed and its indi… Show more

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Cited by 18 publications
(4 citation statements)
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References 49 publications
(96 reference statements)
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“…It was demonstrated by Keil et al, (2021a, b) that the flame displacement speed statistics obtained from simple chemistry DNS of stoichiometric methane-air premixed flames remain in good qualitative agreement with the corresponding detailed chemistry simulations (Keil et al 2021a, b) within the Karlovitz number range considered here. The quantitative differences in flame displacement speed statistics between simple and detailed chemistry DNS for the Karlovitz number range considered here remain comparable to the uncertainties associated with the different definitions of reaction progress variable in detailed chemistry simulations (Keil et al 2021b). All the cases listed in Table 1 have been simulated until the desired values of both turbulent kinetic energy and integral length scale have been obtained and also the turbulent burning velocity S T and flame surface area A T attain statistically stationary states.…”
Section: Numerical Implementationmentioning
confidence: 51%
“…It was demonstrated by Keil et al, (2021a, b) that the flame displacement speed statistics obtained from simple chemistry DNS of stoichiometric methane-air premixed flames remain in good qualitative agreement with the corresponding detailed chemistry simulations (Keil et al 2021a, b) within the Karlovitz number range considered here. The quantitative differences in flame displacement speed statistics between simple and detailed chemistry DNS for the Karlovitz number range considered here remain comparable to the uncertainties associated with the different definitions of reaction progress variable in detailed chemistry simulations (Keil et al 2021b). All the cases listed in Table 1 have been simulated until the desired values of both turbulent kinetic energy and integral length scale have been obtained and also the turbulent burning velocity S T and flame surface area A T attain statistically stationary states.…”
Section: Numerical Implementationmentioning
confidence: 51%
“…( 11) and ( 13). It was demonstrated in a recent analysis (Keil et al 2021) that the PDFs of tangential diffusion component of displacement speed (i.e. S t = −2D m where D is the reaction progress variable diffusivity) for both simple and detailed chemistry DNS are both qualitatively and quantitatively similar.…”
Section: Numerical Implementationmentioning
confidence: 89%
“…The simulations have been conducted using the compressible DNS code SENGA + (Klein et al 2018a, b;Ahmed et al 2019aAhmed et al , b, 2021Chakraborty et al 2019;Keil et al 2021;Jenkins and Cant 1999) where the conservation equations of mass, momentum, energy, and species are solved in non-dimensional form. All the spatial derivatives in SENGA + are approximated using a 10th order central difference scheme for the internal grid points, but the order of accuracy gradually drops to a one-sided 2nd order scheme at the non-periodic boundaries.…”
Section: Numerical Implementationmentioning
confidence: 99%
“…This characteristic behavior has to be captured by modelling methodologies which often employ a reaction progress variable for characterizing the thermo-chemical state. Furthermore, the species profiles in detailed chemistry simulations tend to be influenced by preferential diffusion effects, particularly evident for curved flame elements 12 . Given the notable influence of the choice of reaction progress variable on modeling approaches 13 , evaluating reaction progress with minimal sensitivity to local flame topology is crucial.…”
Section: Introductionmentioning
confidence: 99%