Continuum theory for dense gas-solid flow: A state-of-the-art review

Wang, Junwu

doi:10.1016/j.ces.2019.115428

Cited by 249 publications

(83 citation statements)

References 934 publications

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“…In gas-solid fluidization systems, several multiscale concepts for the Eulerian CFD model have been proposed: a filtered drag force (FDF) model using constitutive equations from highly resolved subgrid models [103], a mesoscale structure-based drag model, where the flow structure and stability conditions were considered to capture the clustering behavior of solid particles using the EMMS model [46,73,104,105], and a CSD drag model [87,100]. Lu et al (2019) and Wang (2020) [46,47] reviewed several sequential coupling strategies between the EMMS drag and Eulerian CFD models to speed up the multiscale simulation using a lookup table [105] or a fitting function [104] of the drag force.…”

Section: Sequential Coupling Strategymentioning

confidence: 99%

“…Drikakis et al (2019) presented the application of CFD to the energy field [3], integrated together with molecular dynamics and LBMs. Lu et al (2019) [46] and Wang (2020) [47] reviewed Eulerian CFD approaches for dense gas-solid flows, providing a concise introduction to multiscale methods and highlighting the effects of mesoscale structures (gas bubbles and particle clusters) on the gas-solid Eulerian CFD model, focusing on the energy minimization multi-scale (EMMS) method.…”

Section: Introductionmentioning

confidence: 99%

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Multiscale Eulerian CFD of Chemical Processes: A Review

Ngo

Lim

2020

ChemEngineering

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This review covers the scope of multiscale computational fluid dynamics (CFD), laying the framework for studying hydrodynamics with and without chemical reactions in single and multiple phases regarded as continuum fluids. The molecular, coarse-grained particle, and meso-scale dynamics at the individual scale are excluded in this review. Scoping single-scale Eulerian CFD approaches, the necessity of multiscale CFD is highlighted. First, the Eulerian CFD theory, including the governing and turbulence equations, is described for single and multiple phases. The Reynolds-averaged Navier–Stokes (RANS)-based turbulence model such as the standard k-ε equation is briefly presented, which is commonly used for industrial flow conditions. Following the general CFD theories based on the first-principle laws, a multiscale CFD strategy interacting between micro- and macroscale domains is introduced. Next, the applications of single-scale CFD are presented for chemical and biological processes such as gas distributors, combustors, gas storage tanks, bioreactors, fuel cells, random- and structured-packing columns, gas-liquid bubble columns, and gas-solid and gas-liquid-solid fluidized beds. Several multiscale simulations coupled with Eulerian CFD are reported, focusing on the coupling strategy between two scales. Finally, challenges to multiscale CFD simulations are discussed. The need for experimental validation of CFD results is also presented to lay the groundwork for digital twins supported by CFD. This review culminates in conclusions and perspectives of multiscale CFD.

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Section: Sequential Coupling Strategymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiscale Eulerian CFD of Chemical Processes: A Review

Ngo

Lim

2020

ChemEngineering

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“…Recently, several authors have applied the TFMs for the numerical prediction of polymerization reactors. [14][15][16][17][18][19][20] Among them, on the other hand, aimed to simulate the industrial-scale fluidized beds by employing different filtering methods; such as the energy-minimization multi-scale (EMMS) and as well, the coarse-grained CFD-DEM coupled with the multiphase particle-in-cell (MP-PIC) method, in discrete element methods (DEM) scope (see J. Wang 21 for a comprehensive review). However, only few studies who dealed with a fully coupled simulation of the hydrodynamics fluidized bed and the polymerization reactions including reaction heat 22 and particles growth.…”

Section: Introductionmentioning

confidence: 99%

A fast modeling of chemical reactions in industrial‐scale olefin polymerization fluidized beds using recurrence CFD

2021

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We present a novel approach for the fast modeling of exothermic chemical reactions in industrial‐scale fluidized bed reactors. It implicates a fast olefin polymerization process, accounting for the catalyst activity, the solubility of the reaction gases in polymer, the particles crystallinity, and the reaction masses and heat transfer. We principally apply the transport‐based recurrence computational fluid dynamics (rCFD) model upon the base of a short‐term non‐reactive simulation performed by a coarse‐grained two‐fluid model (cgTFM). Following the captured recurrent flows, the methodology propagates rapidly passive scalars far beyond the recorded simulation. The reaction kinetics of production/consumption rates due to polymerization are locally embedded into the individual solid/gas species concentrations. These in turn are considered in transporting the enthalpy and the generated heat by reaction. By doing so, the significant computational effort required to couple the thermodynamic effects of polymerization with the cgTFM (hybrid model), is drastically reduced using rCFD with very reliable agreement.

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“…[ 20–27 ] In modelling the CFB gasification process, the key challenge is to accurately calculate the complicated gas‐solid drag reduction caused by a large number of particle clusters in the gas‐solid fluidization. [ 28–30 ] Various drag models have been developed to address this challenge. [ 30 ] Among these models, the QC‐EMMS drag model, based on energy‐minimization multi‐scale (EMMS) theory, exhibits high accuracy and wide applicability.…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of the operating characteristics of a large‐scale CFB coal‐gasification reactor with the QC‐EMMS drag model

Liu

Huo

et al. 2020

Can J Chem Eng

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The operating characteristics of a 60 m high industrial circulating fluidized bed (CFB) coal‐gasification reactor were investigated numerically based on the Eulerian‐Eulerian approach. The QC‐EMMS drag model was used to describe the gas‐solid drag reduction caused by particle clusters. The simulations predicted the overall characteristics of fluidization and gasification inside the CFB reactor riser. The simulated results are in agreement with measured data from the field test. Then, the numerical model was used to analyze the influences of the steam/coal ratio, pulverized coal‐particle size, and operating pressure. The results show that each of the three operating parameters has a great impact on different performance parameters, such as the solid mass circulation rate, the H2/CO ratio, the effective syngas yield, and the average bed temperature. The predicted data were then correlated to provide supports for optimizing the operations of large‐scale CFB coal gasifiers.

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Continuum theory for dense gas-solid flow: A state-of-the-art review

Cited by 249 publications

References 934 publications

Multiscale Eulerian CFD of Chemical Processes: A Review

Multiscale Eulerian CFD of Chemical Processes: A Review

A fast modeling of chemical reactions in industrial‐scale olefin polymerization fluidized beds using recurrence CFD

Numerical analysis of the operating characteristics of a large‐scale CFB coal‐gasification reactor with the QC‐EMMS drag model

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