Particle size distribution in CPFD modeling of gas–solid flows in a CFB riser

Wang, Qinggong; Niemi, Timo; Peltola, Juho; Kallio, Sirpa; Yang, Hairui; Lü, Junfu; Wei, Lubin

doi:10.1016/j.partic.2014.06.009

Cited by 57 publications

(21 citation statements)

References 26 publications

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“…The MP-PIC method was implemented to the simulations of multiphase and thermal reacting flows in fluidized bed (Li et al, 2013;Berrouk et al, 2017;Xie et al, 2017). This approach has been utilized in several cold flow modeling studies including bubbling fluidized beds (Weber et al, 2013;Liang et al 2014;Fotovat et al, 2015), risers of CFB's (Chen et al, 2013;Shi et al, 2014;Shi et al, 2015a;Shi et al, 2015b;Wang et al, 2015) and full loop CFB systems (Wang et al, 2014;Tu and Wang, 2018).…”

Section: Introductionmentioning

confidence: 99%

Cold Flow Simulation of a 30 kWth CFB Riser with CPFD

Raheem

Yılmaz

Özdoĝan

2020

JAFM

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A 30 kWth Circulating fluidized bed (CFB) combustor is experimentally and numerically investigated under cold flow conditions. Barracuda software based on Computational Particle Fluid Dynamics (CPFD) method is utilized for simulations. The influences of bed inventory and drag model on flow hydrodynamics were investigated considering pressure and velocity profiles and particle concentration. Two advanced drag models, namely Energy minimization multi-scale (EMMS) and Wen-Yu/Ergun were selected for this study. The simulations were performed with initial bed material masses of 3.79, 4.55 and 5.20 kg corresponding to 2.5, 3 and 3.5 diameters height of riser, respectively. With increasing bed inventory pressure drops and solid concentration increase. The axial particle velocities slightly change with bed inventory. The comparison of simulation results with experimental measurements was resulted in good agreement (<5%) with both models. The simulation with EMMS drag model predicted the pressure profiles more accurately than Wen-Yu/Ergun drag model. The profiles of particle volume fraction and axial velocity demonstrate that core-annulus flow pattern was captured by both models. But EMMS drag model was better in revealing the meso-scale structures at instantaneous particle concentration distribution. Moreover, the influence of particle size distribution on particle volume fraction and particle velocity profiles is also investigated with two drag models.

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Section: Introductionmentioning

confidence: 99%

Cold Flow Simulation of a 30 kWth CFB Riser with CPFD

Raheem

Yılmaz

Özdoĝan

2020

JAFM

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“…Zhang et al [8] investigated the mixing and segregation behavior of biomass particle in fluidized bed experimentally. Although many researchers had done a lot of research on the distribution characteristics of the regular particles [9][10][11][12][13], such as glass beads, quartz sand, relative characteristics study was scarcely concern about the particles of this special flexible ribbon type.…”

Section: Introductionmentioning

confidence: 99%

A Method for Analyzing the Radial Distribution of Flexible Ribbon Particles and Cluster in a Fluidized Bed Riser

Wu¹,

Li²,

Yuan³

2018

World Congress on Mechanical, Chemical, and Material Engineering

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Many biomass materials, such as herbage, tobacco leaf and seaweed are chopped into small strips and usually dried by fluidized bed dryer. These Flexible ribbon particles in the fluidized bed riser may have experienced a much more complicated process, such as heat & mass transfer, mixing and drying. They are easy to hold together due to the flexibility and the non-uniformity of ribbon shape. Thus, it is important to understand the distribution of this special particle and cluster in the riser. High-speed camera method has always been used in measurement. However, it is difficult to analyze the particle flow due to the overlaps of the flexible ribbon particle in the shot image. So this paper presented a new analyzing method in order to obtain more information of this special gas-solid flow. And the radial concentration distribution of flexible filamentous particle and cluster in gas-solid flow in were experimentally analyzed. It is found that the concentration distribution of the flexible filamentous cluster was completely different from that of the conventional spherical particles.

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“…In addition, phenomena such as channeling, segregations, and plug flow have been attributed to the differences in the properties of the particles in the biomass grinds. For instance, Wang et al (2015) fluidized seven fractions of sawdust and found that samples that passed through 0.25 mm screen, and those that were retained on 0.71 mm screen could not be properly fluidized because of channeling and slugging. Liu et al (2008) observed that a mixture of glass ballotini (particle diameter of 0.57-0.24 mm and particle density of 2510-8750 kg/m 3 ) and coal (particle diameter of 2-40 mm and particle density of 1340 kg/m 3 ) segregate during fluidization because of substantial differences in the density and size of particles that constitute the bulk material.…”

Section: Introductionmentioning

confidence: 99%