Differential diffusion effects inclusion with flamelet generated manifold for the modeling of stratified premixed cooled flames

Donini, A Andrea; Bastiaans, Rjm Rob; Oijen, van Ja Jeroen; Goey, de Lph Philip

doi:10.1016/j.proci.2014.06.050

Cited by 50 publications

(24 citation statements)

References 17 publications

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“…Thereby, the complexity of the modelling is significantly reduced at the cost of neglecting the minor effects of differential diffusion. As recently demonstrated by Donini et al [30], the influence of differential diffusion in the modelling of laminar methane flames is negligibly small. In a turbulent framework, the diffusion processes are governed by turbulent diffusion and the influence of the Lewis number assumption is even lower.…”

Section: One-dimensional Laminar Premixed Flamementioning

confidence: 76%

Turbulent combustion modelling of a confined premixed jet flame including heat loss effects using tabulated chemistry

et al. 2015

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The present work addresses the coupling of a flamelet database, to a low-Mach approximation of the NavierStokes equations using scalar controlling variables. The model is characterized by the chemistry tabulation based on laminar premixed flamelets in combination with an optimal choice of the reaction progress variable, which is determined based on the computational singular perturbation (CSP) method. The formulation of the model focuses on turbulent premixed flames taking into account the effect of heat losses, but it is easily extended to partially premixed and non-premixed regimes. The model is designed for applications in both, Reynolds-averaged Navier-Stokes (RANS) as well as large-eddy simulations (LES) and results for the two methods are compared. A priori analysis of the database is presented to demonstrate the influence of the reaction progress definition and the chemistry tabulation is validated against a one-dimensional premixed laminar flame. The validation of the turbulent case is performed using a turbulent premixed confined jet flame subject to strong heat losses, in which the model shows a good overall performance.

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Section: One-dimensional Laminar Premixed Flamementioning

confidence: 76%

Turbulent combustion modelling of a confined premixed jet flame including heat loss effects using tabulated chemistry

et al. 2015

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“…A key advantage of FGM is in fact the capability to predict minor species in a consistent way [4]. The FGM technique has proven to be very accurate for laminar premixed Bunsen flames including heat loss presence [3, 45, 46], preferential diffusive effects [47], highly stretched premixed counter-flow flames [5] and confined triple flames [6]. This technique performed well also in DNS of a turbulent expanding flame [48], showing that a single control variable can give accurate predictions on the local mass burning rate.…”

Section: Combustion Modeling: the Flamelet-generated Manifold Methodsmentioning

confidence: 99%

A 5-D Implementation of FGM for the Large Eddy Simulation of a Stratified Swirled Flame with Heat Loss in a Gas Turbine Combustor

Donini

Bastiaans

Oijen

et al. 2016

Flow Turbulence Combust

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Numerical simulations are foreseen to provide a tremendous increase in gas-turbine burners efficiency in the near future. Modern developments in numerical schemes, turbulence models and the consistent increase of computing power allow Large Eddy Simulation (LES) to be applied to real cold flow industrial applications. However, the detailed simulation of the gas-turbine combustion process remains still prohibited because of its enormous computational cost. Several numerical models have been developed in order to reduce the costs of flame simulations for engineering applications. In this paper, the Flamelet-Generated Manifold (FGM) chemistry reduction technique is implemented and progressively extended for the inclusion of all the combustion features that are typically observed in stationary gas-turbine combustion. These consist of stratification effects, heat loss and turbulence. Three control variables are included for the chemistry representation: the reaction evolution is described by the reaction progress variable, the heat loss is described by the enthalpy and the stratification effect is expressed by the mixture fraction. The interaction between chemistry and turbulence is considered through a presumed beta-shaped probability density function (PDF) approach, which is considered for progress variable and mixture fraction, finally attaining a 5-D manifold. The application of FGM in combination with heat loss, fuel stratification and turbulence has never been studied in literature. To this aim, a highly turbulent and swirling flame in a gas turbine combustor is computed by means of the present 5-D FGM implementation coupled to an LES turbulence model, and the results are compared with experimental data. In general, the model gives a rather good agreement with experimental data. It is shown that the inclusion of heat loss strongly enhances the temperature predictions in the whole burner and leads to greatly improved NO predictions. The use of FGM as a combustion model shows that combustion features at gas turbine conditions can be satisfactorily reproduced with a reasonable computational effort. The implemented combustion model retains most of the physical accuracy of a detailed simulation while drastically reducing its computational time, paving the way for new developments of alternative fuel usage in a cleaner and more efficient combustion.

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“…Thereby, the minor effects of differential diffusion are neglected reducing significantly the complexity of the modeling. As demonstrated by Donini et al [23], the influence of differential diffusion in the modeling of laminar methane flames is negligibly small. In a turbulent flame, the diffusion processes are dominated by turbulent diffusion and the influence of the Lewis number assumption is further reduced.…”

Section: Modeling Approachmentioning

confidence: 99%

The Effect of Partial Premixing and Heat Loss on the Reacting Flow Field Prediction of a Swirl Stabilized Gas Turbine Model Combustor

Gövert

Mira

Kok

et al. 2017

Flow Turbulence Combust

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This work addresses the prediction of the reacting flow field in a swirl stabilized gas turbine model combustor using large-eddy simulation. The modeling of the combustion chemistry is based on laminar premixed flamelets and the effect of turbulence-chemistry interaction is considered by a presumed shape probability density function. The prediction capabilities of the presented combustion model for perfectly premixed and partially premixed conditions are demonstrated. The effect of partial premixing for the prediction of the reacting flow field is assessed by comparison of a perfectly premixed and partially premixed simulation. Even though significant mixture fraction fluctuations are observed, only small impact of the non-perfect premixing is found on the flow field and flame dynamics. Subsequently, the effect of heat loss to the walls is assessed assuming perfectly premixing. The adiabatic baseline case is compared to heat loss simulations with adiabatic and non-adiabatic chemistry tabulation. The results highlight the importance of considering the effect of heat loss on the chemical kinetics for an accurate prediction of the flow features. Both heat loss simulations significantly improve the temperature prediction, but the non-adiabatic chemistry tabulation is required to accurately capture the chemical composition in the reacting layers.

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Differential diffusion effects inclusion with flamelet generated manifold for the modeling of stratified premixed cooled flames

Cited by 50 publications

References 17 publications

Turbulent combustion modelling of a confined premixed jet flame including heat loss effects using tabulated chemistry

Turbulent combustion modelling of a confined premixed jet flame including heat loss effects using tabulated chemistry

A 5-D Implementation of FGM for the Large Eddy Simulation of a Stratified Swirled Flame with Heat Loss in a Gas Turbine Combustor

The Effect of Partial Premixing and Heat Loss on the Reacting Flow Field Prediction of a Swirl Stabilized Gas Turbine Model Combustor

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