An a priori DNS subgrid analysis of the presumed β-PDF model

Donini, A Andrea; Bastiaans, Rjm Rob; Oijen, J.A. van; Day, Marc; Goey, de Lph Philip

doi:10.1016/j.ijhydene.2015.07.110

Cited by 10 publications

(4 citation statements)

References 19 publications

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“…Nevertheless, recall that Eq. ( 1) is commonly applied solely to evaluating the source term 6 C in the transport equation for ̃ [15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32], whereas mean concentrations of various species are calculated using Eq. (2).…”

Section: Accordingly Any Pdf That Is Based On the Actual Values Of ̅ And Vmentioning

confidence: 99%

“…In spite of the wide use of the flamelet concept coupled with a presumed PDF [10][11][12][13][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32], such an approach requires further study. In particular, its validation has been mainly performed in a posteriori RANS [15,17,22] or LES studies [16,[18][19][20][21]23,24,27,28,[30][31][32], with the reported results showing limited capabilities of the approach for predicting mean concentrations of intermediate species such as H2 (in hydrocarbon-air flames), CO, OH, or CH2O (see Fig.…”

Section: Introductionmentioning

confidence: 99%

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A priori DNS study of applicability of flamelet concept to predicting mean concentrations of species in turbulent premixed flames at various Karlovitz numbers

Lipatnikov

Sabelnikov

Pérez

et al. 2020

Combustion and Flame

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Section: Accordingly Any Pdf That Is Based On the Actual Values Of ̅ And Vmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A priori DNS study of applicability of flamelet concept to predicting mean concentrations of species in turbulent premixed flames at various Karlovitz numbers

Lipatnikov

Sabelnikov

Pérez

et al. 2020

Combustion and Flame

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show abstract

“…In FLUENT, we used the default Custom law to achieve these processes. We used the β-PDF model 30 to calculate the effects of combustion component fluctuation; coke combustion uses a power/diffusion model; the volatile precipitation model adopts the chemical percolation devolatilization (CPD) model; 31 for the volatile composition required in the cracking process, please refer to the literature; 32 the soot generation is presented in the following sections.…”

Section: Resultsmentioning

confidence: 99%

Simulation of Turbulent Combustion in a Large Pulverized Coal Boiler Based on Turbulent Radiation Interaction and the Modified Soot Model

2020

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A combustion heat transfer model suitable for engineering combustion simulation was developed. Using the model, pulverized coal combustion and the soot generation process were simulated in a 300 MW tangentially fired pulverized coal furnace. Here, we proposed a soot evolution model which includes the nucleation, growth, agglomeration, and oxidation processes in the pulverized coal combustion process based on the population balance method. In the process of heat transfer, the absorption coefficient is refined by considering the coal particles and soot radiation. Furthermore, turbulent radiation interaction (TRI) was introduced to the combustion model. Then, pulverized coal combustion and soot and NO X generation processes in a 300 MW tangentially fired pulverized coal furnace under different loads were studied. The results show that the simulated temperature field considering the effect of TRI is lower than that without TRI, and the simulation results considering the effect of TRI are closer to results from the field test. The error between the simulation results and the field tests is within 0.56%. The soot fraction is negatively correlated with temperature. The higher the temperature, the smaller the soot fraction. Taking into account the impact of TRI, the predicted soot production increased.

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“…However, evidence shows that there is a noticeable gap between the most widely used PDFs and the actual direct numerical simulation (DNS) data [14]. Then, an investigation on the applicability of the presumed β− PDF approach to modeling of turbulent flames was carried out by a comparison between the DNS data and the corresponding a priori large eddy simulation [15]. The results show that mean and variance are not sufficient as control parameters by means of presumed PDF.…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Networks for Chemistry Representation in Numerical Simulation of the Flamelet-Based Models for Turbulent Combustion

et al. 2020

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Turbulent combustion is one of the key processes in many energy conversion systems in modern life. In order to improve combustion efficiency and suppress emission of pollutants, many efforts have been made by scholars to investigate turbulent flames. In the present study, Artificial neural network (ANN) was first employed for the storage and interpolation of the flamelet library in flamelet generated manifolds (FGM) model, in which Eulerian stochastic field (ESF) model was used to directly consider the probability density function of the control variables. This new model had been implemented in OpenFOAM and was validated by simulation of the Sandia Flame D under consideration of the detailed chemical reaction mechanism. By comparing the results of numerical simulations and experimental measurements of the temperature and the mass fraction of main components, the accuracy of the proposed ANN-ESFFGM model was verified. Through the use of ANNs to characterize the chemical reactions, the flame simulation accuracy of the new model is higher than that of the original ESFFGM model, especially in the prediction of the ignition position. With the increase in the number of stochastic fields, the simulation accuracy of the new turbulent combustion model is continuously improved until a certain value of stochastic fields was reached. Moreover, excessively high FGM table resolution has limited improvement in numerical simulation accuracy.INDEX TERMS Artificial neural network, Eulerian stochastic field methods, Flamelet generated manifold model, OpenFOAM, turbulent combustion.

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An a priori DNS subgrid analysis of the presumed β-PDF model

Cited by 10 publications

References 19 publications

A priori DNS study of applicability of flamelet concept to predicting mean concentrations of species in turbulent premixed flames at various Karlovitz numbers

A priori DNS study of applicability of flamelet concept to predicting mean concentrations of species in turbulent premixed flames at various Karlovitz numbers

Simulation of Turbulent Combustion in a Large Pulverized Coal Boiler Based on Turbulent Radiation Interaction and the Modified Soot Model

Artificial Neural Networks for Chemistry Representation in Numerical Simulation of the Flamelet-Based Models for Turbulent Combustion

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