Fluidized bed classification of particles of different size and density

Chladek, Jana; Jayarathna, Chameera; Moldestad, Britt Margrethe Emilie; Tokheim, Lars-André

doi:10.1016/j.ces.2017.11.042

Cited by 42 publications

(18 citation statements)

References 25 publications

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“…6, it is seen that the simulation has a significant peak in the pressure drop at the onset of fluidization. however, the pressure drop decreases quickly after fluidization and stabilizes at approximately the same value as in the experiment, corresponding to the weight of the particles [11]. The result shows that the validated CPFD model describes the fluidization of the sand particles with good agreement, and the model was used to simulate the fluidization conditions in an agglomerated fluidized bed.…”

Section: Computational Setupsupporting

confidence: 54%

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CPFD model for prediction of flow behavior in an agglomerated fluidized bed gasifier

Furuvik¹,

Jaiswal²,

Thapa³

et al. 2019

Int. J. EQ

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renewable energy sources have significant potential for limiting climate change and reducing greenhouse gas emissions due to the increased global energy demand. Fluidized bed gasification of biomass is a substantial contribution to meeting the global energy demand in a sustainable way. however, ashrelated problems are the biggest challenge in fluidized bed gasification of biomass. bed agglomeration is a result of interaction between the bed material and alkali metals present in the biomass ash. The agglomerates interfere with the fluidization process and might result in total de-fluidization of the bed. The study focuses on ash challenges related to the fluidization behavior in gasification of biomass. a model is developed and verified against results from previous performed experiments in a cold flow model of a bubbling fluidized bed. The commercial computational particle fluid dynamics (CPFD) software barracuda Virtual reactor is used for the computational study. The simulations show that the CPFD model can predict the fluidization process of an agglomerated fluidized bed gasifier.

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Section: Computational Setupsupporting

confidence: 54%

“…CPFD simulations are hybrid numerical methods where the Eulerian approach is used for solving the fluid phase, and the lagrangian computational particle approaches for the modeling of the particle phase [10]. Chladek et al [11] and jayarathna et al [12] describe the transport equations in detail.…”

Section: Model Descriptionmentioning

confidence: 99%

CPFD model for prediction of flow behavior in an agglomerated fluidized bed gasifier

Furuvik¹,

Jaiswal²,

Thapa³

et al. 2019

Int. J. EQ

Self Cite

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show abstract

“…the wen and yu drag model is used in the simulations [8]. the sphericity was set to 0.84 and the close pack volume fraction was set to 0.54. detailed information about transport equations, solvers and model development in barracuda is presented in [9], [10], [11]. the validation of the model is performed with particles with a mean diameter of 293 µm.…”

Section: Cpfd Modelling and Simulationmentioning

confidence: 99%

Experimental and computational studies on biomass gasification in fluidized beds

Basmoen¹,

Deeraska²,

Nwosu³

et al. 2019

Int. J. EQ

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ExpErimEntal and computational studiEs on biomass gasification in fluidizEd bEds tommy basmoEn, chidapha dEEraska, chimunchE nwosu, Ebrahim QarEdaghi, rajan jaiswal, nora c.i. furuvik, & britt m.E. moldEstad university of south-Eastern norway, norway.abstract the world's energy consumption is increasing, and research regarding utilization of renewable energy sources is crucial. biomass for direct heating has been used for thousands of years, while in the last decades alternative ways to exploit biomass have emerged. in order to increase the efficiency and to produce more applicable products, gasification of biomass is becoming a more and more promising technology. for the gasification technology to be competitive, the understanding of the various aspects regarding the gasifier operation, which in turn influences the quality of the product gas, is of utmost importance. the main objective of this work is to investigate the effect of the air to biomass ratio on the produced gas composition in terms of the high-energy components h 2 , ch 4 and co. Experiments were performed with wood chips in a pilot scale gasification reactor. the results show that an air-to-biomass ratio less than one gives the most applicable gas composition. biomass, like wood chips, has a peculiar shape, has a large particle size, is cohesive, and is therefore difficult to fluidize. in a fluidized bed gasifier, a bed material is used to improve the fluidization quality. Experiments were carried out in a cold bed model to study the fluidization properties of the bed material. minimum fluidization velocities were predicted based on pressure drop in the bed.

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“…where, μg is kinetic viscosity of the gas phase; rp is radius of a particle, υp is velocity of the particle phase; ρp is density of the particle phase, and f is PDF (probability distribution function). The drag force model involved in this paper contains Wen-Yu/Ergun [15,16]. It is obtained through linear transformation of Wen-Yu model and Ergun model.…”

Section: However Cpfd Can Calculate a Great Number Of Multi-scale Pamentioning

confidence: 99%

Characteristic analysis of gas & solid phase flow in oil shale pyrolysis circulating fluidized bed

Chi¹,

Wang²,

Liu³

et al. 2018

IJHT

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Emissions from common oil shale extraction equipment contain many small-size oil shale particles unprocessed. Pyrolyzing oil shale by using CFB (circulating fluidized bed) can solve this problem well. To investigate kinetic characteristics of oil shale particles in CFB, we studied the difference in fluidization characteristic of oil shale particles between various mainflow air intakes by simulating the fluidization process based on computational fluid mechanics of particles. It turned out that: when airflow pushes particles a spherical "bubble" zone forms, and when the bubble bursts the horizontal size is subtly affected by air intake; increasing air intake can accelerate oil shale particles fluidization and improve the cyclone separator outlet air velocity.

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Fluidized bed classification of particles of different size and density

Cited by 42 publications

References 25 publications

CPFD model for prediction of flow behavior in an agglomerated fluidized bed gasifier

CPFD model for prediction of flow behavior in an agglomerated fluidized bed gasifier

Experimental and computational studies on biomass gasification in fluidized beds

Characteristic analysis of gas & solid phase flow in oil shale pyrolysis circulating fluidized bed

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