New closure models for CFD modeling of high-density circulating fluidized beds

Cruz, Ethan; Steward, F.R.; Pugsley, Todd

doi:10.1016/j.powtec.2006.08.005

Cited by 26 publications

(18 citation statements)

References 22 publications

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“…The pressure predictions at P1, P6, P7 and P8 provided by Gidaspow model were higher than the experimental results. The reason was that Gidaspow model was developed for a dense system [9,16,17]. The prediction values by Gidaspow thus were overshot.…”

Section: Effect Of Drag Modelmentioning

confidence: 99%

Experiment and 3D simulation of slugging regime in a circulating fluidized bed

Amornsirirat

Chalermsinsuwan

Mekasut

et al. 2011

Korean J. Chem. Eng.

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A circulating fluidized bed (CFB) is widely applied in many industries because it has high efficiency. To develop and improve the process, an understanding of the hydrodynamics inside the CFB is very important. Computational fluid dynamics (CFD) represents a powerful tool for helping to understand the phenomena involved in the process. In this study, a CFD model was developed to represent a cold model of the laboratory scale CFB which was designed to study the hydrodynamics of a CFB using commercial CFD software. The Eulerian approach with kinetic theory of granular flow was used for simulating the hydrodynamics inside the system. After proper tuning of relevant parameters, the pressure profile along the equipment from the simulation was well agreed with that from the experiment. The simulation result expresses the hydrodynamic parameters of the slug flow such as solid volume fraction, gas and solid velocities and granular temperature in the riser.

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Section: Effect Of Drag Modelmentioning

confidence: 99%

Experiment and 3D simulation of slugging regime in a circulating fluidized bed

Amornsirirat

Chalermsinsuwan

Mekasut

et al. 2011

Korean J. Chem. Eng.

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“…In the Eulerian method, the two phases that are present (gas and solids) are treated as fully interpenetrating continua. The conservation equations are written for both phases and equations of closure link the two phases together [11].…”

Section: Turbulence Modelsmentioning

confidence: 99%

Heat flux profile of the furnace wall of a 300MWe CFB boiler

et al. 2010

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“…the chemical, pharmaceutical, mineral and food industry, not only because it allows for a large number of unit operations to be performed within the same piece of equipment, either separately or sequentially (Depypere et al, 2003), but it also tunes the effect of functional ingredients and additives (Depypere et al, 2009). Due to the complex flow behaviour and many interactions taking place in fluidised bed systems which are not fully understood, there is still a need for mathematical models to improve the fundamental understanding of the flow inside the fluidised bed reactor (Cruz et al, 2006;Cornelissen et al, 2007). Recently, computational fluid dynamics (CFD), a powerful numerical tool for solving fluid flow problems, has been widely used in an attempt to model gas-solid fluidised beds using two different approaches: a discrete method (Lagrangian model) and a continuous approach (multifluid or Eulerian-Eulerian model).…”

Section: Introductionmentioning

confidence: 99%

“…Among the different drag models, they discussed that the Gidaspow (1994) model gave the best agreement with experimental data. Cruz et al (2002Cruz et al ( , 2006 showed that the drag force closure models available in the FLUENT CFD software were suitable for low density risers to predict the radial distribution of solids concentration and solids mass flux, while new models for high density systems had to be developed. Taghipour et al (2005) calculated the momentum exchange coefficients using the Symlal-O'Brien, Gidaspow and Wen-Yu drag functions available in FLUENT.…”

Section: Introductionmentioning

confidence: 99%