CFD simulation of dense particulate reaction system: Approaches, recent advances and applications

Wang, Zhong; Yu, Aibing; Zhou, Guifeng; Xie, Jun; Zhang, Hao

doi:10.1016/j.ces.2015.09.035

Cited by 257 publications

(104 citation statements)

References 158 publications

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“…Even though its importance, few works can be found in literature as reported by Zhong et al [181] in a recent review on CFD simulation of Dense Particulate Reaction Systems (DPRS). The authors grouped the existing barriers for the wide use of DEM for DPRS in three points: the unsuitability of the current computational capacity for the simulation of industrial facilities, which would take years of simulation time to reproduce 30 s of a reactor's behavior; the current limitations in simulating non-spherical particles, fragmentation of particles and the evolution of their physical properties, such as density, porosity and composition and the lack of a more comprehensive model, which would permit to consider relevant secondary phenomena, such as the production of tar, char and pollutants or the erosion of the wall.…”

Section: Heat Transfer and Chemical Reactionsmentioning

confidence: 99%

“…In their 2016 review, Zhong and colleagues summarised the limitations of this approach for the simulation of Dense Particulate Reaction Systems (DPRS) [181]. Even if TFM is generally faster than DEM, considering chemical reaction increases the computational time by about 1.6 times, defining the limits for the simulation of industrial units, especially if their additional unit operations are considered.…”

Section: Heat Transfer and Chemical Reactionsmentioning

confidence: 99%

“…Moreover, the simplifying hypotheses of TFM could lead to inaccuracies when wide particles diameter distributions are modelled, as well as for the variation of the diameter of particles and inter-phase mass exchanges. In general, DPRSs seem to be more frequently simulated through the Eulerian-Eulerian approach [181], but this is not the case of spouted bed reactors.…”

Section: Heat Transfer and Chemical Reactionsmentioning

confidence: 99%

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Modelling of Spouted and Spout-Fluid Beds: Key for Their Successful Scale Up

et al. 2017

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The development of robust mathematical models could provide the necessary tools for a more rapid, efficient, and reliable spouted bed technology development. Computer simulations can be very useful to aid this design and scale-up process: firstly, they can contribute to obtain a fundamental insight into their complex dynamic behavior by understanding the elementary physical principles such as drag, friction, dissipation etc.; secondly, the simulations can be used as a design tool where the ultimate goal is to have a numerical model with predictive capabilities for gas-particle flows at engineering scale. Clearly, one single simulation method will not be able to achieve this goal, but a hierarchy of methods modelling phenomena on different length and time scales can achieve this. The most fruitful approach will be when they are simultaneously followed, so that they can mutually benefit from each other. In this sense, this paper presents a review of the current state of the art of modelling on spouted and spout-fluid beds through an analysis of recent literature following a multiscale approach (molecular and particle, lab, plant and industrial scale). The main features of the different scales together with their current limits are discussed and specific topics are highlighted as paths that still need to be explored. In summary, the paper aims to define the theoretical setline and the basis of improvement that would lead to a robust multiscale model with solid links between micro and macroscopic phenomena. If done with the correct balance between accuracy and computational costs it will gear SB towards their reliable and successful implementation.

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Section: Heat Transfer and Chemical Reactionsmentioning

confidence: 99%

Section: Heat Transfer and Chemical Reactionsmentioning

confidence: 99%

Section: Heat Transfer and Chemical Reactionsmentioning

confidence: 99%

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Modelling of Spouted and Spout-Fluid Beds: Key for Their Successful Scale Up

et al. 2017

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“…The QMOM has a high computational efficiency and has emerged as a promising tool for solving PBE over the past several years. 13,30 The method of moments tracks not only the numerical density function but its quadrature moments and is described by Equation (25)…”

Section: Population Balance Equationmentioning

confidence: 99%

Coupling Eulerian‐Lagrangian method of air‐particle two‐phase flow with population balance equations to simulate the evolution of vehicle exhaust plume

et al. 2018

Numerical Methods in Fluids

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Summary In this paper, we present a new numerical scheme to describe the dynamic evolution of multiphase polydisperse systems in terms of time, space, and properties by coupling the Eulerian‐Lagrangian method for air‐particle two‐phase flow and population balance equations to describe particle property evolution due to microbehaviors (eg, aggregation, breakage, and growth). This coupling scheme was used to comprehensively simulate the two‐phase flow structure, particle size spectrum, particle number, and volume concentrations. These were characterized by a high‐resolution particle tracking using the Lagrangian approach and the high precision of moments of the particle size spectrum by solving the population balance equation with the quadrature method of moments. The algorithm of the coupling scheme was incorporated into the open source computational fluid dynamics software OpenFOAM to simulate the dynamic evolution of vehicle exhaust plume. The impacts of vehicle velocity, exhaust temperature, and aggregation efficiency on the distribution of auto exhaust particles in space and changes in their properties were analyzed. The results indicate that the particle number concentration, volume concentration, and average diameter of particles in the vehicle exhaust plume could be strongly affected by the plume structure and flow properties.

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“…[13][14][15][16][17][18] Under the umbrella of multiphase flow regimes, the study of solid-liquid systems in mechanical mixing vessels has focused on turbulent operations. CFD can provide information that will otherwise be difficult to obtain through experimentation, helping to guide experiments.…”

mentioning

confidence: 99%

Enhancing biomass hydrolysis for biofuel production through hydrodynamic modeling and reactor design

Gaona

Lawryshyn

Saville

2019

Energy Science & Engineering

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A computational fluid dynamics model was developed to represent high‐solids enzymatic hydrolysis. This model accounted for the transient and multiphase (solids‐slurry) nature of the high‐solids enzymatic hydrolysis process. The model investigated the effect of slurry viscosity, rotational speed, and two impeller configurations on the distribution of insoluble solids. Initial CFD results identified segregation of the velocity contours for the non‐Newtonian slurry, which could potentially affect the reactor performance. The multiphase, transient CFD simulations showed that the first impeller configuration delayed the distribution of solids, and compartmentalized mixing in the reactor. The second impeller configuration, meanwhile, improved solids mixing and hydrolysis, while using lower rotational speeds (and thus, energy). The second impeller configuration also expanded the size of the pseudo‐cavern between impellers, which is critical for better dispersion of the solids. The CFD trends of the second impeller configuration were experimentally verified by conducting fed‐batch, high‐solids enzymatic hydrolysis trials with pretreated lignocellulose. The experimental results showed that the second impeller configuration provided better mixing of the non‐Newtonian slurry and enhanced solids‐enzyme interactions, leading to improved glucan‐to‐glucose conversion. This work illustrates that a transient multiphase CFD model can provide valuable insights into the design and optimization of high‐solids enzymatic hydrolysis reactors. The CFD model has identified pathways to improve the distribution of solids while reducing the energy needed for mixing. The CFD model can also guide experimental and design work to scale up these reactors from the laboratory to pilot and commercial scale.

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CFD simulation of dense particulate reaction system: Approaches, recent advances and applications

Cited by 257 publications

References 158 publications

Modelling of Spouted and Spout-Fluid Beds: Key for Their Successful Scale Up

Modelling of Spouted and Spout-Fluid Beds: Key for Their Successful Scale Up

Coupling Eulerian‐Lagrangian method of air‐particle two‐phase flow with population balance equations to simulate the evolution of vehicle exhaust plume

Enhancing biomass hydrolysis for biofuel production through hydrodynamic modeling and reactor design

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