Conditional Source-Term Estimation as a Method for Chemical Closure in Premixed Turbulent Reacting Flow

Jin, B.; Grout, Ray; Bushe, W. Kendal

doi:10.1007/s10494-008-9148-0

Cited by 56 publications

(39 citation statements)

References 25 publications

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“…While the correctness of the modified laminar-flame-based PDF of Jin et al [33] as compared to the b-distribution for premixed flames has been demonstrated by Salehi et al [34,35], for LES of premixed flames in the flamelet regime with relatively low turbulence intensities, the differences in the predicted solutions obtained using the modified laminar-flame-based and b PDFs have been found to be rather small [34e36]. For this reason, it is felt that the b-PDF is sufficiently accurate for the hydrogen-enriched flames of interest and is used here.…”

Section: Pcm-fpi Combustion Modelmentioning

confidence: 96%

“…Note that other choices for the presumed PDF of c are possible, including the original and modified laminar-flamebased PDFs of Bray et al [32] and Jin et al [33], respectively. While the correctness of the modified laminar-flame-based PDF of Jin et al [33] as compared to the b-distribution for premixed flames has been demonstrated by Salehi et al [34,35], for LES of premixed flames in the flamelet regime with relatively low turbulence intensities, the differences in the predicted solutions obtained using the modified laminar-flame-based and b PDFs have been found to be rather small [34e36].…”

Section: Pcm-fpi Combustion Modelmentioning

confidence: 99%

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Large-eddy simulation of lean hydrogen–methane turbulent premixed flames in the methane-dominated regime

Pérez

Groth

Gülder

2014

International Journal of Hydrogen Energy

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Section: Pcm-fpi Combustion Modelmentioning

confidence: 96%

Section: Pcm-fpi Combustion Modelmentioning

confidence: 99%

Large-eddy simulation of lean hydrogen–methane turbulent premixed flames in the methane-dominated regime

Pérez

Groth

Gülder

2014

International Journal of Hydrogen Energy

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“…Conditional Moment Closure (CMC) approaches [34][35][36][37][38][39][40] attempt to describe chemistry by solving for values of chemical species that have been conditioned on a particularly relevant scalar. A mixture fraction or progress variable is typically used for this purpose.…”

Section: Conditional Moment Closure Modelsmentioning

confidence: 99%

“…An approach that is closely related to CMC is Conditional Source term Estimation (CSE) [38,39]. In this approach, independent variables are not added to the problem's dimensionality or to the computational mesh.…”

Section: Conditional Moment Closure Modelsmentioning

confidence: 99%

“…In this approach, independent variables are not added to the problem's dimensionality or to the computational mesh. Rather, functions describing the conditional scalar profiles are determined by inverting a system of equations relating the conditional profiles to filtered or mean values of a set of scalars [38,39]. This approach requires solving transport equations for several reactive quantities, so that there are an adequate number of mean or filtered scalar values to accomplish the inversion at a given mesh point.…”

Section: Conditional Moment Closure Modelsmentioning

confidence: 99%

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Large-Eddy Simulation for Combustion Systems: Modeling Approaches for Partially Premixed Flows

Knudsen¹,

Pitsch²

2010

TOTHERJ

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Combustion models often appear in forms that are customized for specific applications. This process of customization produces modeling approaches that tend to be very different from one another in terms of cost, accuracy, and applicability. For example, many combustion models have been developed to describe either the asymptotic premixed or the asymptotic non-premixed combustion limit. These idealized regimes are chosen as the basis for modeling approaches because the associated combustion physics are understood sufficiently well to be cast in a framework that accounts for how turbulence and chemistry interact. Partially premixed regimes and regimes that involve transitions between premixed and non-premixed behavior, however, are not very well understood. Consequently, most readily available modeling approaches do not account for these mixed regimes in a very careful fashion. This presents a particular challenge to further model development, since these partially premixed and transition processes are very important in realistic combustion devices. In this review, the particular challenges associated with modeling partially premixed combustion in LES will be discussed and the applicability of common LES combustion models to partially premixed processes will be assessed.

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On the Use of Machine Learning for Subgrid Scale Filtered Density Function Modelling in Large Eddy Simulations of Combustion Systems

Iavarone

Yang

et al. 2023

Lecture Notes in Energy

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The application of machine learning algorithms to model subgrid-scale filtered density functions (FDFs), required to estimate filtered reaction rates for Large Eddy Simulation (LES) of chemically reacting flows, is discussed in this chapter. Three test cases, i.e., a low-swirl premixed methane-air flame, a MILD combustion of methane-air mixtures, and a kerosene spray turbulent flame, are presented. The scalar statistics in these test cases may not be easily represented using the commonly used presumed shapes for modeling FDFs of mixture fraction and progress variable. Hence, the use of ML methods is explored. Particularly, deep neural network (DNN) to infer joint FDFs of mixture fraction and progress variable is reviewed here. The Direct Numerical Simulation (DNS) datasets employed to train the DNNs in each test case are described. The DNN performances are shown and compared to typical presumed probability density function (PDF) models. Finally, this chapter examines the advantages and caveats of the DNN-based approach.

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Conditional Source-Term Estimation as a Method for Chemical Closure in Premixed Turbulent Reacting Flow

Cited by 56 publications

References 25 publications

Large-eddy simulation of lean hydrogen–methane turbulent premixed flames in the methane-dominated regime

Large-eddy simulation of lean hydrogen–methane turbulent premixed flames in the methane-dominated regime

Large-Eddy Simulation for Combustion Systems: Modeling Approaches for Partially Premixed Flows

On the Use of Machine Learning for Subgrid Scale Filtered Density Function Modelling in Large Eddy Simulations of Combustion Systems

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