Kinetic and fluid dynamics modeling of methane/hydrogen jet flames in diluted coflow

Frassoldati, Alessio; Sharma, Pratibha; Cuoci, Alberto; Faravelli, Tiziano; Ranzi, E.

doi:10.1016/j.applthermaleng.2009.10.001

Cited by 126 publications

(103 citation statements)

References 26 publications

(36 reference statements)

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“…Good performance can be expected only for those phenomena which are dominated by the chemical time scales slower than the Kolmogorov scale. This analysis applies to the DJHC burner studied here, but it may also apply to the calculations of the experiments by Dally et al using EDC reported in the literature [10,11,13,14].…”

Section: Analysis Of the Mean Reaction Ratementioning

confidence: 97%

“…The availability of velocity measurements has a decisive advantage. Indeed, in modeling studies of the experiments of [4], a strong sensitivity of predictions on inlet boundary conditions for the turbulent kinetic energy was observed [13]. Since no experimental data on this quantity were available it could be used as a variable parameter in the model.…”

Section: Introductionmentioning

confidence: 99%

“…Kim et al [12] simulated the same burner using conditional moment closure (CMC) model and their results showed that the effects of oxygen concentration on the flame structure and NO formation were well predicted; however their simulations did not include differential diffusion effects. Frassoldati et al [13] numerically investigated the same burner to study the effect of inlet turbulence and applied a detailed NOx postprocessor. Mardani et al [14] studied the sensitivity of the predictions to different models for differential diffusion in the context of the EDC model.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Simulation of Delft-Jet-in-Hot-Coflow (DJHC) Flames Using the Eddy Dissipation Concept Model for Turbulence–Chemistry Interaction

Oldenhof

Sathiah

et al. 2011

Flow Turbulence Combust

181

173

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In this paper, we report results of a numerical investigation of turbulent natural gas combustion for a jet in a coflow of lean combustion products in the Delft-Jet-in-Hot-Coflow (DJHC) burner which emulates MILD (Moderate and Intense Low Oxygen Dilution) combustion behavior. The focus is on assessing the performance of the Eddy Dissipation Concept (EDC) model in combination with two-equation turbulence models and chemical kinetic schemes for about 20 species (Correa mechanism and DRM19 mechanism) by comparing predictions with experimental measurements. We study two different flame conditions corresponding to two different oxygen levels (7.6% and 10.9% by mass) in the hot coflow, and for two jet Reynolds number (Re = 4,100 and Re = 8,800). The mean velocity and turbulent kinetic energy predicted by different turbulence models are in good agreement with data without exhibiting large differences among the model predictions. The realizable k-ε model exhibits better performance in the prediction of entrainment. The EDC combustion model predicts too early ignition leading to a peak in the radial mean temperature profile at too low axial distance. However the model correctly predicts the experimentally observed decreasing trend of lift-off height with jet Reynolds number. A detailed analysis of the mean reaction rate of the EDC model is made and as possible cause for the deviations between model predictions and experiments a low turbulent Reynolds number effect is identified. Using modified EDC model constants prediction of too early ignition can be avoided. The results are weakly sensitive to the sub-model for laminar viscosity and laminar diffusion fluxes.

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Section: Analysis Of the Mean Reaction Ratementioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical Simulation of Delft-Jet-in-Hot-Coflow (DJHC) Flames Using the Eddy Dissipation Concept Model for Turbulence–Chemistry Interaction

Oldenhof

Sathiah

et al. 2011

Flow Turbulence Combust

181

173

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“…Even though the potential core of coherent jet is reducing with oxygen temperature increasing, it still longer than potential core of conventional jet. Papamoschou and Roshko 24) reported that if the ratio of the ambient density to the jet density decreases, the growth rate of the turbulent mixing layer reduces, as depicted in Fig. 8.…”

Section: Analysis Of Velocity Distributionmentioning

confidence: 99%

“…The previous work 19,[23][24][25][26] had found that the EDC hypothesis was expected to provide satisfactory results for combustion. Thus, the EDC model with overall and detailed chemical kinetic mechanisms (GRI-Mech 3.0) was presently used for the modeling of reactions.…”

Section: Combustion Modelsmentioning

confidence: 99%

Flow Field Characteristics of Coherent Jet with Preheating Oxygen under Various Ambient Temperatures

et al. 2016

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Effect of Hydrogen Enrichment on Pollutant and Greenhouse Gases Formation and Exergy Efficiency of Methane MILD Combustion

Khanlari

Salavati-Zadeh

Mohammadi

et al. 2019

Environmentally-Benign Energy Solutions

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Kinetic and fluid dynamics modeling of methane/hydrogen jet flames in diluted coflow

Cited by 126 publications

References 26 publications

Numerical Simulation of Delft-Jet-in-Hot-Coflow (DJHC) Flames Using the Eddy Dissipation Concept Model for Turbulence–Chemistry Interaction

Numerical Simulation of Delft-Jet-in-Hot-Coflow (DJHC) Flames Using the Eddy Dissipation Concept Model for Turbulence–Chemistry Interaction

Flow Field Characteristics of Coherent Jet with Preheating Oxygen under Various Ambient Temperatures

Effect of Hydrogen Enrichment on Pollutant and Greenhouse Gases Formation and Exergy Efficiency of Methane MILD Combustion

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