Large eddy simulation of polydisperse particles in turbulent coaxial jets using the direct quadrature method of moments

Pedel, Julien; Thornock, Jeremy; Smith, Sean; Smith, Philip J.

doi:10.1016/j.ijmultiphaseflow.2014.03.002

Cited by 40 publications

(21 citation statements)

References 53 publications

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“…The simulation contains 8 million cells with equal grid spacing such that ∆x = 0.0014 m, and it was run in parallel on 512 processors. A more resolved simulation was also run with the same box dimensions but with 22 million cells such that ∆x = 0.001m -a slightly higher resolution than that used in Pedel et al (2013b). Of particular interest, the higher resolution case results in a better resolved area between the circular jet and the annulus.…”

Section: Numerical Simulationmentioning

confidence: 99%

“…While the data is close to a power law correlation, there are some discrepancies, specifically where the annular region has a profile skewed towards the center axis. To keep consistency, the constant velocity cases shown in Pedel et al (2013b) were regenerated with this condition.…”

Section: Numerical Simulationmentioning

confidence: 99%

“…Recent data has also been produced with significantly more information in the velocities and fluctuations for a single circular jet and under two strong coflow conditions (Budilarto, 2003). In addition to experimental data in recent years many CFD results of these types of flows have been produced, which give better insight into the fine structures of these flows (Apte et al, 2003;Pedel et al, 2013aPedel et al, , 2012Pedel et al, , 2013b.…”

Section: Introductionmentioning

confidence: 99%

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Large eddy simulation of a coaxial jet with a synthetic turbulent inlet

Abboud

Smith

2014

International Journal of Heat and Fluid Flow

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This study analyzed the effects of two methods of synthetic inlet turbulence on the accuracy of coaxial, circular jet simulations with regards to experimental data. The two methods that were utilized in the study were a digital filter method and a synthetic eddy method. This study examines the implementation of these methods into an academic LES code, with extensive evaluation of the simulation data compared to experimental results. The results in the paper are presented for two different mesh resolutions, 22 and 8 million cells. The simulations were performed for three different velocity ratios of the annular to the inner jet: 0.0, 1.0 and 1.5. The inlet methods were utilized in two ways, one by setting the velocity fluctuation profile based on experimental data of the inlet flow, the second by setting an estimated isotropic-fluctuation profile. In this way, using the estimated method can be compared to using the prescribed fluctuations, which may not be usable if experimental data of the inlet is not available. When comparing the centerline profiles to the velocity data for the turbulent inlet, the data for velocity ratios 1.0 and 1.5 were improved compared to the experimental profiles. However, for the velocity ratio 0.0 case velocity data when using the turbulent inlet the data showed significant decay and did not match experimental profiles in the far field of the jet. The radial data for a velocity ratio of 0.0 showed better agreement with the experimental data in the jet spreading to develop the proper velocity profile. The velocity fluctuation data was the most accurate in the near field region when the turbulent inlet was used. A comparison can also be made between using a prescribed fluctuation inlet and just using the approximated

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Section: Numerical Simulationmentioning

confidence: 99%

Section: Numerical Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Large eddy simulation of a coaxial jet with a synthetic turbulent inlet

Abboud

Smith

2014

International Journal of Heat and Fluid Flow

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“…Many researchers adopted the same method as Backreedy et al to set the initial PSD . Pedel et al suggested that two particles would behave significantly differently if their mass was not of the same order of magnitude, so several particle sizes across a large range should be chosen to represent the wide PSD . In our previous study, the representative particle streams had equally distributed mass fractions and the same volume‐averaged diameters as the measured data .…”

Section: Introductionmentioning

confidence: 91%

“…A simplified DQMOM model was adopted to track the particle phase. The in‐house code was validated in nonreacting turbulent coaxial jets and pulverized coal jet flames . The results showed that LES coupled with DQMOM was able to capture the flame ignition process which was important for controlling NO x and CO 2 emission.…”

Section: Model Validationmentioning

confidence: 99%

Identification of the initial particle size distribution for coal combustion simulations

Shen

Zhou

et al. 2019

AIChE Journal

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Pulverized coal generally features wide particle-size distributions (PSD). How to set an initial PSD in coal combustion simulation remains an open question. To answer this, the Gaussian-quadrature theory was applied to provide a discrete reconstruction of the PSD described by Rosin-Rammler and Upper-Limit functions. From the perspective of the moments of PSD, a theoretical analysis was conducted for mass, momentum, and energy exchange terms between gas and particle phases in pulverized coal jet flame. The analysis presented that the first, the second and the third moments of PSD were the most important to capture the flame ignition behavior. The large eddy simulations showed that the proposed method with two or more particle sizes could provide good predictions of flame ignition distances. And Sauter mean diameter (D 32 ) could represent the complete PSD when predicting the ignition behavior of pulverized coal jet flame. K E Y W O R D Scoal combustion, Gaussian quadrature, initial particle size distribution, large eddy simulation, moments

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Large‐eddy simulation of coal combustion in 15 MW pilot‐scale boiler‐simulation facility

Zhou

Parra-Alvarez

et al. 2021

AIChE Journal

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High‐fidelity modeling provides a useful approach to investigate the multiscale multiphysics mechanism in the pulverized coal combustion. This research focuses on understanding the pulverized coal combustion in a pilot‐up facility: General electric (GE) 15 MW pilot‐scale boiler simulation facility (BSF). The heat flux to the boiler water wall, O2 concentration, and gas temperature are the quality of interest (QoI's) for this research, as they are the most important parameters for designing a full‐scale pulverized coal boiler. Even the heat flux in boiler is largely determined by the heat transfer mechanism, and other detailed multiphysics mechanisms, including multiphase turbulent flow, radiation heat transfer, ash deposition, coal devolatilization, and oxidation, also need to be accounted. This work applies large‐eddy simulation (LES) code on high‐performance computing facility to simulate pulverized coal combustion in BSF. The physics‐based submodel that contains the significant sensitivity for QoI's has been identified using the detailed impact factor analysis on this high‐fidelity modeling. Results indicate that the most sensitive submodel on QoI's is the wall‐heat‐transfer coupling with the ash‐deposition model, which allows us to prioritize to improve this submodel in the LES simulation. Thus, ash deposition and wall‐heat‐transfer processes have been modeled and integrated into coal combustion numerical simulation. The simulation results show quantitative agreement between the simulation with experimental data regarding gas temperature, O2 concentration, and heat‐flux profile across the exposed boiler walls. Another implication of this research is to demonstrate a positive societal impact of extreme computing and accelerate the development of new combustion technology using a capable exascale computing technique.

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Large eddy simulation of polydisperse particles in turbulent coaxial jets using the direct quadrature method of moments

Cited by 40 publications

References 53 publications

Large eddy simulation of a coaxial jet with a synthetic turbulent inlet

Large eddy simulation of a coaxial jet with a synthetic turbulent inlet

Identification of the initial particle size distribution for coal combustion simulations

Large‐eddy simulation of coal combustion in 15 MW pilot‐scale boiler‐simulation facility

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