Direct Numerical Simulation of highly turbulent premixed flames burning methane

Fru, Gordon; Janiga, Gábor; Thévenin, Dominique

doi:10.1007/978-94-007-2482-2_52

Cited by 5 publications

(12 citation statements)

References 11 publications

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“…It is much simpler than a full methane oxidation scheme such as the GRI-MECH 3.0 [5], containing 53 species and over 300 reaction and that cannot be used yet for systematic 3D DNS computations. The retained scheme provides sufficiently accurate results for lean up to stoichiometric conditions and has been successfully used/validated for direct simulations of 2D non-premixed methane jet flames [30] and turbulent premixed flames [17,19]. However, it could be inadequate for methane-rich flames due to the absence of C 2 and higher carbonchain reactions.…”

Section: Casementioning

confidence: 98%

Impact of Volume Viscosity on the Structure of Turbulent Premixed Flames in the Thin Reaction Zone Regime

Fru

Janiga

Thévenin

2011

Flow Turbulence Combust

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Direct Numerical Simulations (DNS) of turbulent premixed flames burning hydrogen, synthetic gas and methane have been performed, relying on detailed chemical and transport models and taking into account volume viscosity. In this manner, it becomes possible to quantify the impact of this last contribution. It is shown that laminar flames are not modified by volume viscosity, while the local structure of turbulent flames may differ considerably when taking it into account. A noticeable impact is even observed on global flame properties. The modifications induced by the volume viscosity transport term are extremely small at first, but are sufficient to lead to completely different realizations at a later time due to the chaotic nature of turbulence. Noticeable modifications induced by volume viscosity are found for syngas as well as for hydrogen flames. For such hydrogen-containing fuels, the differences appear to remain unchanged when increasing the turbulent Reynolds number. On the other hand, turbulent flames burning methane show no significant impact due to volume viscosity. Since an accurate computation of the volume viscosity transport term is possible on available supercomputers, it is thus recommended to take it into account for detailed studies of turbulent flames burning hydrogen-containing fuels, in particular for DNS, while this term can be safely neglected for higher hydrocarbon flames.

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Section: Casementioning

confidence: 98%

Impact of Volume Viscosity on the Structure of Turbulent Premixed Flames in the Thin Reaction Zone Regime

Fru

Janiga

Thévenin

2011

Flow Turbulence Combust

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“…This reaction mechanism is retained here due to its simplicity and stability, and provides sufficiently accurate results for lean up to stoichiometric conditions. It has been successfully used for large scale multi-dimensional direct computations of non-premixed methane jet flames [35] and most recently, highly turbulent premixed flames [27,36]. However, it would be inadequate for methane-rich flames due to the absence of C 2 and higher carbon-chain reactions, the reason why Φ ≤ 1.0 for the present study.…”

Section: Flame Configuration and Initializationmentioning

confidence: 99%

“…A spatial sixth-order central scheme and an explicit fourth-order Runge-Kutta time integrator are employed. In its recent version [26][27][28], the skew-symmetric formulation [29] has been implemented for the convective terms in order to reduce even further numerical dissipation and increase stability. The extended Navier-Stokes Characteristic Boundary Conditions (NSCBC) [30] are used, with non-reflecting boundaries and pressure relaxation applied along all open faces.…”

Section: Direct Numerical Simulationmentioning

confidence: 99%

“…The code offers, for instance on the IBM BlueGene/P 13.5% of the peak performance on each node (139 TeraFlop/s for the full machine) and a near perfect parallel scaling for a real, three-dimensional run using up to 4 096 PowerPC 450 computing cores. Further details concerning code structure, optimization, application and recent upgrades can be found for instance in [27,31].…”

Section: Direct Numerical Simulationmentioning

confidence: 99%

“…With this simple and flexible approach, the restriction on problem size imposed by the previously implemented generator based on inverse FFT has been removed, paving the way for simulations of larger domains at considerably higher Re t values. For the results presented later, the initial turbulent field has been systematically generated using this hybrid technique (see [27] for further details).…”

Section: Direct Numerical Simulationmentioning

confidence: 99%

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Impact of Turbulence Intensity and Equivalence Ratio on the Burning Rate of Premixed Methane–Air Flames

Fru¹,

Thévenin²,

Janiga³

2011

Energies

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Direct Numerical Simulations (DNS) have been conducted to study the response of initially laminar spherical premixed methane-air flame kernels to successively higher turbulence intensities at five different equivalence ratios. The numerical experiments include a 16-species/25-step skeletal mechanism for methane oxidation and a multicomponent molecular transport model. Highly turbulent conditions (with integral Reynolds numbers up to 4 513) have been accessed. The effect of turbulence on the physical properties of the flame, in particular its consumption speed S c , which is an interesting measure of the turbulent flame speed S T has been investigated. Local quenching events are increasingly observed for highly turbulent conditions, particularly for lean mixtures. The obtained results qualitatively confirm the expected trend regarding correlations between u ′ /S L and the consumption speed: S c first increases, roughly linearly, with u ′ /S L (low turbulence zone), then levels off (bending zone) before decreasing again (quenching limit) for too intense turbulence. For a fixed value of u ′ /S L , S c /S L varies with the mixture equivalence ratio, showing that additional parameters should probably enter phenomenological expressions relating these two quantities.

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Sparse Representation and Visualization for Direct Numerical Simulation of Premixed Combustion

Oster

Lehmann

Fru

et al. 2014

Computer Graphics Forum

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Direct Numerical Simulations of premixed combustion produce terabytes of raw data, which are prohibitively large to be stored, and have to be analyzed and visualized. A simultaneous and integrated treatment of data storage, data analysis and data visualization is required. For this, we introduce a sparse representation tailored to DNS data which can directly be used for both analysis and visualization. The method is based on the observation that most information is located in narrow‐band regions where the chemical reactions take place, but these regions are not well defined. An approach for the visual investigation of feature surfaces of the scalar fields involved in the simulation is shown as a possible application. We demonstrate our approach on multiple real datasets.

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Direct Numerical Simulation of highly turbulent premixed flames burning methane

Cited by 5 publications

References 11 publications

Impact of Volume Viscosity on the Structure of Turbulent Premixed Flames in the Thin Reaction Zone Regime

Impact of Volume Viscosity on the Structure of Turbulent Premixed Flames in the Thin Reaction Zone Regime

Impact of Turbulence Intensity and Equivalence Ratio on the Burning Rate of Premixed Methane–Air Flames

Sparse Representation and Visualization for Direct Numerical Simulation of Premixed Combustion

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