Statistics of reaction progress variable and mixture fraction gradients of a pulverised coal jet flame using Direct Numerical Simulation data

Ahmed, Umair; d’Auzay, Charles Turquand; Muto, Masaya; Chakraborty, Nilanjan; Kurose, Ryoichi

doi:10.1016/j.proci.2018.06.223

Cited by 16 publications

(6 citation statements)

References 43 publications

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“…The log-normal distribution provides an excellent fit for |∇Z| distribution in downstream locations for all flame zones. Slight discrepancies are observed for very small values of |∇Z|, which is consistent for the non-premixed and stratified combustion studies in the literature [86,87,88,89,90]. The PDFs of |∇C| in Fig.…”

Section: Stratified Flame Physicssupporting

confidence: 87%

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Scalar gradient and flame propagation statistics of a flame-resolved laboratory-scale turbulent stratified burner simulation

Inanc

Chakraborty

2022

Combustion and Flame

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Section: Stratified Flame Physicssupporting

confidence: 87%

“…The PDFs of |∇C| in Fig. 10 show that the log-normal distribution does not adequately capture the PDFs of |∇C|, which is expected and was also reported in previous studies [86,90].…”

Section: Stratified Flame Physicssupporting

confidence: 67%

Scalar gradient and flame propagation statistics of a flame-resolved laboratory-scale turbulent stratified burner simulation

Inanc

Chakraborty

2022

Combustion and Flame

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“…The simulation has been performed using the code known as FK 3 , which has been used in several previous studies on turbulent, reacting, and multiphase flows. [27][28][29][30][31] The code solves conservation equations for mass, momentum, enthalpy, and chemical species in the context of the finite volume framework. A skeletal chemical mechanism comprising nine chemical species and twenty reactions 32 is used to represent hydrogen-air combustion.…”

Section: Direct Numerical Simulation Datamentioning

confidence: 99%

Surface density function evolution and the influence of strain rates during turbulent boundary layer flashback of hydrogen-rich premixed combustion

et al. 2020

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The statistical behavior of the magnitude of the reaction progress variable gradient [alternatively known as the surface density function (SDF)] and the strain rates, which govern the evolution of the SDF, have been analyzed for boundary layer flashback of a premixed hydrogen-air flame with an equivalence ratio of 1.5 in a fully developed turbulent channel flow. The non-reacting part of the channel flow is representative of the friction velocity based Reynolds number Reτ = 120. A skeletal chemical mechanism with nine chemical species and twenty reactions is employed to represent hydrogen-air combustion. Three definitions of the reaction progress variable (RPV) based on the mass fractions of H 2 , O 2 , and H 2 O have been considered to analyze the SDF statistics. It is found that the mean variations of the SDF and the displacement speed S d depend on the choice of the RPV and the distance away from the wall. The preferential alignment of the RPV gradient with the most extensive principal strain rate strengthens with an increase in distance from the cold wall, which leads to changes in the behaviors of normal and tangential strain rates from the vicinity of the wall toward the middle of the channel. The differences in displacement speed statistics for different choices of the RPV and the wall distance affect the behaviors of the normal strain rate due to flame propagation and curvature stretch. The relative thickening/thinning of the reaction layers of the major species has been explained in terms of the statistics of the effective normal strain rate experienced by the progress variable isosurfaces for different wall distances and choices of RPVs.

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“…The interaction between the gas phase and particle phase is depicted using the Particle-Source-In-Cell (PSIC) method through a two-way coupling approach. 27,41,53 The indices i, j iterate through each particle, with n denoting the total number of particles in the local cell and V representing the grid cell volume. In order to simplify the analysis, eq 10 defines the momentum source term.…”

Section: Pp-dns Coupled With Detailedmentioning

confidence: 99%

Direct Numerical Simulation and Flamelet Modeling of Coal/Ammonia Cofiring Flame

Xue,

Xing,

Tang

et al. 2024

Energy Fuels

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Combusting ammonia with coal is regarded as an effective technical approach for reducing carbon emissions. This process involves multiple fuel streams and nitrogen sources, posing challenges for accurate and efficient modeling of combustion and NO formation. The present paper presented a point-particle direct numerical simulation (PP-DNS) work with detailed chemistry for a coal/ammonia co-firing flame, and a flamelet/progress variable (FPV) model for ammonia/coal co-firing was applied to consider the multiple fuel streams and reacting stages. The performance of the extended FPV model was evaluated by conducting a priori analyses with the PP-DNS solution as benchmarks. The gas temperature, major species, and CO profiles in the PP-DNS can be well reproduced by the extended FPV model. The reaction time scale analysis indicated that NO is formed on the same order of time scale as those of the major species in this flame. Therefore, it can be acceptably predicted by directly extracting data from the flamelet tables. Incorporating NO in the progress variable does not enhance the NO prediction and lowers the accuracy of the temperature and major species predictions. The main deviations of NO prediction can be attributed to the multi-dimensional effect.

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Statistics of reaction progress variable and mixture fraction gradients of a pulverised coal jet flame using Direct Numerical Simulation data

Cited by 16 publications

References 43 publications

Scalar gradient and flame propagation statistics of a flame-resolved laboratory-scale turbulent stratified burner simulation

Scalar gradient and flame propagation statistics of a flame-resolved laboratory-scale turbulent stratified burner simulation

Surface density function evolution and the influence of strain rates during turbulent boundary layer flashback of hydrogen-rich premixed combustion

Direct Numerical Simulation and Flamelet Modeling of Coal/Ammonia Cofiring Flame

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