Large-Eddy Simulation of Sandia Flame D with Efficient Explicit Filtering

Bertels, Ann; Kober, Bernhard; Rittler, Andreas; Kempf, Andreas

doi:10.1007/s10494-018-9997-0

“…The predicted OH mass fractions show correct trends; however, the maximum value is overpredicted compared with the measured data. Overall, mass fraction prediction of short-lived species like OH is a challenging task due to the nonlinear evolution of the species, [55][56][57][58] and it is beyond the scope of the present study. In the radial direction, the reactions mostly occur in the shear layer between the main jet and co-flow (r=D ¼ 1), which is evident in the peaks of the mass fraction profiles.…”

Section: E Sandia Flame Dmentioning

confidence: 99%

Fast reactive flow simulations using analytical Jacobian and dynamic load balancing in OpenFOAM

Morev

¹

,

Tekgül

²

,

Gadalla

³

et al. 2022

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Detailed chemistry-based computational fluid dynamics (CFD) simulations are computationally expensive due to the solution of the underlying chemical kinetics system of ordinary differential equations (ODEs). Here, we introduce a novel open-source library aiming at speeding up such reactive flow simulations using OpenFOAM, an open-source software for CFD. First, our dynamic load balancing model by Tekg€ ul et al. ["DLBFoam: An open-source dynamic load balancing model for fast reacting flow simulations in OpenFOAM," Comput. Phys. Commun. 267, 108073 (2021)] is utilized to mitigate the computational imbalance due to chemistry solution in multiprocessor reactive flow simulations. Then, the individual (cell-based) chemistry solutions are optimized by implementing an analytical Jacobian formulation using the open-source library pyJac, and by increasing the efficiency of the ODE solvers by utilizing the standard linear algebra package. We demonstrate the speed-up capabilities of this new library on various combustion problems. These test problems include a two-dimensional (2D) turbulent reacting shear layer and three-dimensional (3D) stratified combustion to highlight the favorable scaling aspects of the library on ignition and flame front initiation setups for dual-fuel combustion. Furthermore, two fundamental 3D demonstrations are provided on nonpremixed and partially premixed flames, viz., the Engine Combustion Network Spray A and the Sandia flame D experimental configurations, which were previously considered unfeasible using OpenFOAM. The novel model offers up to two orders of magnitude speed-up for most of the investigated cases. The openly shared code along with the test case setups represent a radically new enabler for reactive flow simulations in the OpenFOAM framework.

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“…Sandia flame D is a well-known configuration from the TNF workshop flame series, which is often studied in the literature, e.g. [44][45][46][47]. Therefore, it is considered as a useful benchmark for reactive CFD LES code validation for gas burner flame investigations.…”

Section: Sandia Flame Dmentioning

confidence: 99%

Fast reactive flow simulations using analytical Jacobian and dynamic load balancing in OpenFOAM

Morev,

Tekgül,

Gadalla

et al. 2021

Preprint

0

View full text Add to dashboard Cite

Detailed chemistry-based computational fluid dynamics (CFD) simulations are computationally expensive due to the solution of the underlying chemical kinetics system of ordinary differential equations (ODEs). Here, we introduce a novel open-source library aiming at speeding up such reactive flow simulations using OpenFOAM, an open-source C++ software for CFD. First, our dynamic load balancing model DLBFoam (Tekgül et al., 2021) is utilized to mitigate the computational imbalance due to chemistry solution in multiprocessor reactive flow simulations. Then, the individual (cell-based) chemistry solutions are optimized by implementing an analytical Jacobian formulation using the open-source library pyJac, and by increasing the efficiency of the ODE solvers by utilizing the linear algebra package LAPACK. We demonstrate the speed-up capabilities of this new library on various combustion problems.These test problems include a 2D turbulent reacting shear layer and 3D stratified combustion to highlight the favorable scaling aspects of the library on ignition/flame front initiation setups for dual-fuel combustion. Furthermore,

show abstract