CFD modelling of mass and heat dispersion in sphere fixed bed with porosity-dependent segmented-continuum approaches

Hamzah, Anthony Basuni; Yoshikawa, Shiro; Matsumoto, Hideyuki

doi:10.1016/j.cherd.2018.10.022

Cited by 15 publications

(4 citation statements)

References 58 publications

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“…This is a problem of scales; over a single particle, the radially displaced flow gives a significant v r , but when averaged over the bed radius, the positive and negative variations cancel out. Recently, Hamzah et al (11) used a form of the PMM to assist in the development of a new segmented continuum approach to radial heat and mass transfer.…”

Section: Effective Diffusivity and Mass Transfer Limitationsmentioning

confidence: 99%

“…They used PRCFD simulations on regular sphere arrays to evaluate these parameters for convection (136) and gave a new model for conduction under stagnant conditions (137). Similarly, Hamzah et al (11) proposed porosity-dependent, segmented-continuum approaches, using PRCFD to obtain dispersion parameters.…”

Section: Particle-resolved Computational Fluid Dynamics and Chemical ...mentioning

confidence: 99%

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Computational Fluid Dynamics for Fixed Bed Reactor Design

Dixon

Partopour

2020

Annu. Rev. Chem. Biomol. Eng.

118

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Flow, heat, and mass transfer in fixed beds of catalyst particles are complex phenomena and, when combined with catalytic reactions, are multiscale in both time and space; therefore, advanced computational techniques are being applied to fixed bed modeling to an ever-greater extent. The fast-growing literature on the use of computational fluid dynamics (CFD) in fixed bed design reflects the rapid development of this subfield of reactor modeling. We identify recent trends and research directions in which successful methodology has been established, for example, in computer generation of packings of complex particles, and where more work is needed, for example, in the meshing of nonsphere packings and the simulation of industrial-size packed tubes. Development of fixed bed reactor models, by either using CFD directly or obtaining insight, closures, and parameters for engineering models from simulations, will increase confidence in using these methods for design along with, or instead of, expensive pilot-scale experiments.

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Section: Effective Diffusivity and Mass Transfer Limitationsmentioning

confidence: 99%

Section: Particle-resolved Computational Fluid Dynamics and Chemical ...mentioning

confidence: 99%

Computational Fluid Dynamics for Fixed Bed Reactor Design

Dixon

Partopour

2020

Annu. Rev. Chem. Biomol. Eng.

118

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“…At all conditions, it is assumed that all particles are perfect spheres with a uniform diameter and that the bed has an isotropic porosity. In reality, the particles can be nonspherical, and they have a particle size distribution, resulting in a nonuniform bed porosity . These nonuniformities affect the bed hydrodynamics, such as the pressure and velocity fields, affecting the contact time between the gas and the catalyst and, thus, the reaction rate.…”

Section: Resultsmentioning

confidence: 99%

“…In reality, the particles can be nonspherical, 49 and they have a particle size distribution, 50 resulting in a nonuniform bed porosity. 51 These nonuniformities affect the bed hydrodynamics, such as the pressure and velocity fields, affecting the contact time between the gas and the catalyst and, thus, the reaction rate. In a 2D simulation of fixed-bed reactors, Jakobsen et al found that pressure and velocity profiles are significantly affected when changing the radial bed porosity, while the influence on the reaction rate is relatively small.…”

Section: Effects Of Operating Conditions On the Methane Conversion 42...mentioning

confidence: 99%

Computational Fluid Dynamics Simulation of a High-Throughput Catalytic Fixed-Bed Reactor for Total Oxidation of Methane

Fatahillah,

Monjezi,

Ouyang

et al. 2024

Ind. Eng. Chem. Res.

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This paper presents a two-dimensional computational fluid dynamics (CFD) study to investigate the performance of our high-throughput fixed-bed reactor used for the total oxidation of diluted volatile organic compounds (VOCs) in a continuous gas stream. The CFD model, based on a porous medium and a power-law kinetic model, is validated by comparing the calculated and experimentally determined conversion of methane, the selected VOC, over the β-cyclodextrin-Cu/hydroxyapatite catalyst for different operating conditions. The CFD model captures the effect of varying partial pressures of methane and oxygen on the methane conversion at various space times and temperatures. Overall, the simulation results qualitatively agree with experimental data within an average deviation of 17%. Analysis of the flow field, calculated using CFD, suggests that the reactor behavior resembles that of an ideal plug-flow reactor. The findings set out the lines for creating a simplified one-dimensional model of the high-throughput reactor in future research.

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Mass Transfer Modeling of α‐Eleostearic Acid from Tung Oil Concentration by Low‐Temperature Crystallization

et al. 2020

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With the significant attention paid to α-eleostearic acid (α-ESA) in a variety of biologically beneficial effects, the demand for high-concentration products is increasing. A method of cryogenic separation to predict the mass variation of α-ESA from tung oil was established in this study. The results showed that the best α-ESA crystallization condition was À 20°C in ethanol, which implied a low energy consumption when compared with the common crystallization temperature of À 60°C. The α-ESA concentration in the liquid phase was reduced by 90.4% compared to tung oil, and most of the α-ESA in the solution was recovered by mass transfer. On the other hand, a mathematical model based on the diffusion reaction theory is used in mass variation prediction. The effects of temperature and time on the mass variation in α-ESA in solution crystallization were examined. The results showed that the proposed model could estimate the composition and total mass of winterized tung oil at R 2 = 0.974. The model was validated by experiments with an error of � 10%.[a] J.

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CFD modelling of mass and heat dispersion in sphere fixed bed with porosity-dependent segmented-continuum approaches

Cited by 15 publications

References 58 publications

Computational Fluid Dynamics for Fixed Bed Reactor Design

Computational Fluid Dynamics for Fixed Bed Reactor Design

Computational Fluid Dynamics Simulation of a High-Throughput Catalytic Fixed-Bed Reactor for Total Oxidation of Methane

Mass Transfer Modeling of α‐Eleostearic Acid from Tung Oil Concentration by Low‐Temperature Crystallization

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