Review of laboratory swirl burners and experiments for model validation

Al-Abdeli, Yasir M.; Masri, Assaad R.

doi:10.1016/j.expthermflusci.2015.07.023

Cited by 83 publications

(51 citation statements)

References 89 publications

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“…The reasons attributed to this could be the swirling inflow velocity and turbulence effects. Recent studies (Al-Abdeli & Masri, 2015;Chen, et al 2016) show that the swirling flow is sensitive to the swirling generator. The present study applies the mean velocity of the swirling flow, but the turbulence at the inlet is not accurately given due to unclear geometry of the swirling generator in the experiments.…”

Section: Boundary Conditionsmentioning

confidence: 99%

Comparison of VLES and LES Turbulence Modeling for Swirling Turbulent Flow

Tiwari¹,

Xia²,

Han³

2020

JAFM

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Swirling flow has been widely used in gas turbine and aero-engine combustor to stabilize the flame. However, accurate numerical prediction of the swirling turbulent flow is difficult due to complex vortex movement in the flow, and turbulence modeling is a key factor. To assess the turbulence modeling in predicting the swirling flow, numerical studies are conducted for a well-documented swirling flow case. Three turbulence models are applied in the framework of scale resolved models, i.e. a newly developed VLES (Very-large eddy simulation) model, two LES (Large eddy simulation) models including the WALE (Walladapting local eddy viscosity model) and CSM (Coherent Structure Method). Numerical results are compared with the experimental results including the mean and RMS velocities. It is found that VLES model performs best among the three models and the other two LES models give comparable predictions. The complex vortex structures are explored based on the unsteady simulation results. The study demonstrates the high potential of VLES modeling for accurate prediction of complex swirling flow.

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Section: Boundary Conditionsmentioning

confidence: 99%

Comparison of VLES and LES Turbulence Modeling for Swirling Turbulent Flow

Tiwari¹,

Xia²,

Han³

2020

JAFM

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“…The model was, in this case, built as a 2D axisymmetric approximation of the furnace, as is typical for this problem in most publications cited in Sect. 2 that used the BERL data for validation. The simulation was run in steady mode with a realizable k‐ε turbulence model, single‐step methane oxidation within the mixing‐controlled eddy‐dissipation model (EDM) .…”

Section: Resultsmentioning

confidence: 99%

“…A parametric study requires a suitable database for validation. However, such data are scarce . An exceptionally large data set was collected within an extensive research in the Burner Engineering Research Laboratory (BERL), which was first reported in .…”

Section: Problem Descriptionmentioning

confidence: 99%

What the Combustion Engineer Gains from CFD Modeling: Gas Furnace

et al. 2019

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Combustion engineers require correct predictions of trends, especially in cases when computational fluid dynamics is applied for troubleshooting, scale‐up, or decision support in the design phase. Validation of models by parametric studies and in a large‐scale furnace is rare and much needed. This is the primary objective of this work. Similarly, combustion engineers require the prediction of heat loads in specific parts of a boiler or furnace. The second objective of this work is to provide exactly such type of validation for a megawatt‐scale burner. Both cases use natural gas fuel. The models applied to perform the predictions are typical of practicing combustion engineers, providing fast turnaround times. The results provide a perspective on the performance of models serving as workhorses in engineering companies.

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“…This is due to the many similarities between fixed bed configurations and industrial systems where heat and mass transfer in the vertical direction is the dominating factor (Khodaei et al, 2015;Yang et al, 2005;Wurzenberger et al, 2002;Katunzi, 2006). Furthermore, in many combustion studies, laboratory scale burners are widely used because of their lower capital and operating costs, good test reproducibility and easier integration with diagnostics (Al-Abdeli and Masri, 2015). More specifically in relation to solid (biomass fuel) combustion, fixed bed combustors have been an extremely useful research platform.…”

Section: Introductionmentioning

confidence: 99%