Large-eddy simulation of pulverized coal combustion using flamelet model

Watanabe, Junya; Okazaki, Teruyuki; Yamamoto, Kenji; Kuramashi, Koji; Baba, Akira

doi:10.1016/j.proci.2016.06.031

Cited by 63 publications

(19 citation statements)

References 21 publications

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“…The results obtained are similar to the ones obtained by Xia et al [17] with the EM2C in house REGATH code. The deviations from the experiments are large if compared to standard gas flames, however they are comparable to other numerical works investigating coal combustion [3,9,12] . For both flames, the numerical peaks of OH * are shifted leftwards with respect to the experiments.…”

Section: Validation Of Numerical Modelssupporting

confidence: 82%

“…These quantities are control variables of the FPV model, and they are directly obtained by the solutions of Eqs. (12) and (13) . In the FTC model, these transport equations are solved with the only purpose of validating the FTC results.…”

Section: A Posteriori Analysismentioning

confidence: 99%

“…The thermo-chemical state of the reacting flow is defined by a limited number of representative control variables, and it is usually pre-computed using canonical reference flamelets. Flamelet-based LES's of PCC burners have been recently carried out [9][10][11][12][13][14] . However, because of the intense mass and heat exchange between the solid and the gas phase during the thermo-chemical conversion of the coal particles, extension of the tabulation methods for coal combustion is not straightforward [15] .…”

Section: Introductionmentioning

confidence: 99%

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Experimental and numerical investigation of a stagnation pulverised coal flame

Vascellari

Messig

Scholtissek

et al. 2019

Proceedings of the Combustion Institute

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A multi-stream Flamelet Progress Variable (FPV) model, specifically developed for coal combustion, is proposed. The model accounts for the different fuel streams associated with the volatile and char burnout products. The applicability of the new FPV model is investigated in a laminar stagnation pulverized coal flame. The flame considered is a premixed mixture of CH 4 , O 2 and N 2 , carrying pulverized coal particles, stabilized in an impinging wall. Spontaneous emissions of OH * , CH * and C * 2 are measured to identify the flame. The 1D numerical simulations of the experimental conditions are able to reproduce the main features of the flame. The applicability of the multi-stream FPV model to coal combustion is further evaluated with the a posteriori analysis of the FPV results, comparing the results with a reference model, where the species are fully transported and the chemistry directly evaluated. Then, with the budget analysis, the influence of the control variables used to build the look-up table is assessed by examining the conditional contributions to the overall transport terms of scalar quantities (e.g. species, temperature). The results of both analyses show that the proposed multi-stream FPV model can accurately predict the main features of coal combustion, with only minor issues related to the manifold used to build the look-up table.

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Section: Validation Of Numerical Modelssupporting

confidence: 82%

Section: A Posteriori Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental and numerical investigation of a stagnation pulverised coal flame

Vascellari

Messig

Scholtissek

et al. 2019

Proceedings of the Combustion Institute

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“…In the flamelet approach, the Favre-filtered variables can be evaluated on the basis of a presumed probability density function (PDF), and the chemical kinetics is reflected in the simulation through look-up tables. Recent CFD studies of pulverized coal combustion often use the flamelet approach (e.g., [10][11][12]) because of its relatively low computational cost, and the number of applications for the flamelet approach is expected to increase in the future. Thus, we applied the flamelet/progress-variable (FPV) approach [13] to an LES of a pulverized coal jet flame and investigated the accuracy of the simulation and reaction behaviors of pulverized coal particles.…”

Section: Introductionmentioning

confidence: 99%

Application of flamelet/progress-variable approach to the large eddy simulation of a turbulent jet flame of pulverized coals

Akaotsu

Matsushita

Aoki

et al. 2020

Advanced Powder Technology

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“…Copyright: (2019) Elsevier B.V. tion fields have been made by various researchers, there are still a large room for improving the accuracy of the simulation technologies for coal combustion fields. Recently, the flamelet approach, which can treat detailed chemistries with relatively low computational cost by employing the tabulation method, has also been applied for numerical simulations of coal combustion fields (e.g., Watanabe J. et al, 2017, Wen X. et al, 2019. However, the detailed chemistry for volatile matter combustion has not been developed yet, because detailed molecular for heavy species such as tar cannot be identified due to its complexity.…”

Section: Fig 25mentioning

confidence: 99%

Coal Particle Devolatilization and Soot Formation in Pulverized Coal Combustion Fields

Hashimoto

Hayashi

2021

KONA

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In this paper, recent developments of the devolatilization model and soot-formation model for the numerical simulations of pulverized-coal combustion fields, and the technology used to measure soot particles in pulverizedcoal combustion fields are reviewed. For the development of new models, the validation of the developed models using measurement is necessary to check the accuracy of the models because new models without validation have a possibility to make large errors in simulations. We have developed the tabulated devolatilization process model (TDP model) that can take into account the effect of particle heating rate on the volatile matter amount and the devolatilization-rate parameters. The accuracy of the developed TDP model was validated by using the laser Doppler velocimetry data for the bench-scale coal combustion test furnace. The soot-formation model combined with TDP model for the large eddy simulation (LES) has been also developed. The spatial distributions of both the soot-volume fraction and the polycyclic aromatic hydrocarbons were measured by virtue of laser-induced incandescence (LII) and laser-induced chemiluminescence (PAHs-LIF). The accuracy of the developed sootformation model was validated by using the measured data.

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Large-eddy simulation of pulverized coal combustion using flamelet model

Cited by 63 publications

References 21 publications

Experimental and numerical investigation of a stagnation pulverised coal flame

Experimental and numerical investigation of a stagnation pulverised coal flame

Application of flamelet/progress-variable approach to the large eddy simulation of a turbulent jet flame of pulverized coals

Coal Particle Devolatilization and Soot Formation in Pulverized Coal Combustion Fields

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