Large eddy simulations of premixed CH$$_{{\mathbf {4}}}$$ bluff-body flames operating close to the lean limit using quasi-global chemistry and an algebraic chemiluminescence model

Mitsopoulos, E. P.; Lytras, I.; Koutmos, P.

doi:10.1007/s00162-019-00497-9

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…By the Favre filtering from the governing equations of fire, the equations required for buoyant pool fire modeling are in the form of Eqs. (1) to (4) [24,25].…”

Section: Governing Equationmentioning

confidence: 99%

Evaluation of LES sub-grid scale models and time discretization schemes for prediction of convection effect in a buoyant pool fire

2020

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The identification of the type of regime has an essential effect on the selection of sub-grid scale and discretization methods, regarding the accuracy and computational time. In order to investigate the role of sub-grid scale and time discretization method in a pool fire modeling by the Large Eddy Simulation (LES), three sub-grid scales Smagorinsky, one-equation and Wall-Adapting Local Eddy-Viscosity (WALE) and three time discretization methods of first-order Euler method, second-order Crank Nicolson and backward second-order were investigated. The results indicate that WALE and one-equation sub-grid scale have an acceptable prediction, while Smagorinsky has a significant error with the experimental results. Different time discretization methods have little effects on the results of mean velocity and mean turbulent parameters of the pool fire. By considering the instantaneous distribution of parameters, all three methods perform similar results where the kinetic energy is less than 5 m 2 /s 2 . In areas where the perturbation is aggravated, the two second-order discretization methods have the same error with a little difference by the first-order Euler method. The accuracies of second-order methods are about 10% for the velocity prediction, compared to the experimental results, while the error of the Euler method is 15%.

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“…By the Favre filtering from the governing equations of fire, the equations required for buoyant pool fire modeling are in the form of Eqs. (1) to (4) [24,25].…”

Section: Governing Equationmentioning

confidence: 99%

Evaluation of LES sub-grid scale models and time discretization schemes for prediction of convection effect in a buoyant pool fire

2020

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“…The mean temperature in the plume zone is predicted, according to Eq. (17)(18)(19)(20), with three empirical correlations of Heskestad [31], Zukoski [33], and McCaffrey [34,35], respectively.…”

Section: Influence Of Sdm On the Modeling Of Pool Fire's Temperature mentioning

confidence: 99%

The importance of compatible sub-grid scale and spatial discretization models on the simulation of large-scale pool fire

Safarzadeh

Heidarinejad

Pasdarshahri

2020

J Braz. Soc. Mech. Sci. Eng.

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Using discretization technique is one of the challenges associated with numerical modeling. In the Large Eddy Simulation (LES) method, this issue becomes more critical because it affects the sub-grid scale (SGS) model and creates errors. Using an LES method, we investigated the numerical errors and compatibility of different discretization methods with SGS in pool fire modeling. First-order, central, and second-order upwind and linear upwind stabilized transport (LUST) schemes were examined in Smagorinsky (S_SGS) and k-equation (K_SGS) sub-grid scales. First-order upwind and second-order upwind methods estimated the velocity field, temperature, and perturbation with a significant error, so that in the plume area, there was 90% error with the first-order upwind and 50% error with the second-order upwind concerning the results of the mean square horizontal velocity perturbation. With an error of 20%, the LUST method had a better agreement with the experimental results. Besides, SGS did not have a significant effect on the results of this method. However, the second-order upwind method was more consistent with the S_SGS model. To improve the results of upwind methods, Quadratic Upstream Interpolation for Convective Kinematics and Monotonic Upwind Scheme for Conservation Laws discretization methods are recommended.

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Effect of Inlet Mixture Stratification on Bluff-Body Stabilized, Turbulent, Prevaporized n-Heptane-Air Flames

2021

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Large eddy simulations of premixed CH$$_{{\mathbf {4}}}$$ bluff-body flames operating close to the lean limit using quasi-global chemistry and an algebraic chemiluminescence model

Cited by 5 publications

References 30 publications

Evaluation of LES sub-grid scale models and time discretization schemes for prediction of convection effect in a buoyant pool fire

Evaluation of LES sub-grid scale models and time discretization schemes for prediction of convection effect in a buoyant pool fire

The importance of compatible sub-grid scale and spatial discretization models on the simulation of large-scale pool fire

Effect of Inlet Mixture Stratification on Bluff-Body Stabilized, Turbulent, Prevaporized n-Heptane-Air Flames

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