Influence of grid resolution, parcel size and drag models on bubbling fluidized bed simulation

Lu, Liqiang; Konan, Arthur; Benyahia, Sofiane

doi:10.1016/j.cej.2017.06.002

Title: Influence of grid resolution, parcel size and drag models on bubbling fluidized bed simulation

Abstract

Here in this paper, a bubbling fluidized bed is simulated with different numerical parameters, such as grid resolution and parcel size. We examined also the effect of using two homogeneous drag correlations and a heterogeneous drag based on the energy minimization method. A fast and reliable bubble detection algorithm was developed based on the connected component labeling. The radial and axial solids volume fraction profiles are compared with experiment data and previous simulation results. These results show a significant influence of drag models on bubble size and voidage distributions and a much less dependence on numerical parameters. With a heterogeneous drag model that accounts for sub-scale structures, the void fraction in the bubbling fluidized bed can be well captured with coarse grid and large computation parcels. Refining the CFD grid and reducing the parcel size can improve the simulation results but with a large increase in computation cost.

Authors:

^[1]; Konan, Arthur ^[2]; Benyahia, Sofiane ^[1]

National Energy Technology Lab. (NETL), Morgantown, WV (United States)
National Energy Technology Lab. (NETL), Morgantown, WV (United States); West Virginia Univ., Morgantown, WV (United States). Research Corporation

Publication Date:: Fri Jun 02 00:00:00 EDT 2017

Research Org.:: National Energy Technology Lab. (NETL), Pittsburgh, PA, and Morgantown, WV (United States). In-house Research

Sponsoring Org.:: USDOE

OSTI Identifier:: 1404697

Alternate Identifier(s):: OSTI ID: 1550291

Report Number(s):: NETL-PUB-21045
Journal ID: ISSN 1385-8947; PII: S1385894717309531

Resource Type:: Accepted Manuscript

Journal Name:: Chemical Engineering Journal

Additional Journal Information:: Journal Volume: 326; Journal Issue: C; Journal ID: ISSN 1385-8947

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS; Computational fluid dynamics; discrete element method; coarse-grained particle method; bubbling fluidized bed

Citation Formats


                    Lu, Liqiang, Konan, Arthur, and Benyahia, Sofiane. Influence of grid resolution, parcel size and drag models on bubbling fluidized bed simulation.  United States: N. p., 2017. 
Web.  doi:10.1016/j.cej.2017.06.002.

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                    Lu, Liqiang, Konan, Arthur, & Benyahia, Sofiane. Influence of grid resolution, parcel size and drag models on bubbling fluidized bed simulation.  United States.  https://doi.org/10.1016/j.cej.2017.06.002

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                    Lu, Liqiang, Konan, Arthur, and Benyahia, Sofiane. Fri .  
"Influence of grid resolution, parcel size and drag models on bubbling fluidized bed simulation".  United States.  https://doi.org/10.1016/j.cej.2017.06.002.  https://www.osti.gov/servlets/purl/1404697.

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@article{osti_1404697,

  title        = {Influence of grid resolution, parcel size and drag models on bubbling fluidized bed simulation},

  author       = {Lu, Liqiang and Konan, Arthur and Benyahia, Sofiane},

  abstractNote = {Here in this paper, a bubbling fluidized bed is simulated with different numerical parameters, such as grid resolution and parcel size. We examined also the effect of using two homogeneous drag correlations and a heterogeneous drag based on the energy minimization method. A fast and reliable bubble detection algorithm was developed based on the connected component labeling. The radial and axial solids volume fraction profiles are compared with experiment data and previous simulation results. These results show a significant influence of drag models on bubble size and voidage distributions and a much less dependence on numerical parameters. With a heterogeneous drag model that accounts for sub-scale structures, the void fraction in the bubbling fluidized bed can be well captured with coarse grid and large computation parcels. Refining the CFD grid and reducing the parcel size can improve the simulation results but with a large increase in computation cost.},

  doi          = {10.1016/j.cej.2017.06.002},

  journal      = {Chemical Engineering Journal},

  number       = C,

  volume       = 326,

  place        = {United States},

  year         = {Fri Jun 02 00:00:00 EDT 2017},

  month        = {Fri Jun 02 00:00:00 EDT 2017}

}

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Works referencing / citing this record:

Three-Dimensional Full-Loop Hydrodynamic Simulation of a Circulating Fluidized-Bed Gasifier: A Quantitative Assessment of Drag Models
journal, July 2019

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Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation
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Lu, Liqiang; Benyahia, Sofiane
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Title: Influence of grid resolution, parcel size and drag models on bubbling fluidized bed simulation

Abstract

Citation Formats

Methanol to Olefins (MTO): From Fundamentals to Commercialization journal, February 2015

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MP-PIC simulation of CFB riser with EMMS-based drag model journal, September 2012

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Drag force of intermediate Reynolds number flow past mono- and bidisperse arrays of spheres journal, January 2007

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Multiphase-flow Statistics using 3D Detection and Tracking Algorithm (MS3DATA): Methodology and application to large-scale fluidized beds journal, June 2016

Linear-time connected-component labeling based on sequential local operations journal, January 2003

A discrete numerical model for granular assemblies journal, March 1979

Open-source MFIX-DEM software for gas–solids flows: Part I—Verification studies journal, April 2012

Open-source MFIX-DEM software for gas-solids flows: Part II — Validation studies journal, April 2012

An efficient and reliable predictive method for fluidized bed simulation journal, June 2017

Estimation of Numerical Errors Related to Some Basic Assumptions in Discrete Particle Methods journal, November 2010

Validation of the similar particle assembly (SPA) model for the fluidization of Geldart's group A and D particles journal, April 2011

DEM speedup: Stiffness effects on behavior of bulk material journal, February 2014

Experimental and computational study of gas–solid fluidized bed hydrodynamics journal, December 2005

DEM simulation of fluidized beds for gas-phase olefin polymerization journal, December 1999

Three-Dimensional Full-Loop Hydrodynamic Simulation of a Circulating Fluidized-Bed Gasifier: A Quantitative Assessment of Drag Models journal, July 2019

Method to estimate uncertainty associated with parcel size in coarse discrete particle simulation journal, February 2018

Methanol to Olefins (MTO): From Fundamentals to Commercialization
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Numerical study of a fluid catalytic cracking regenerator hydrodynamics
journal, January 2017

Fluid Mechanical Description of Fluidized Beds. Equations of Motion
journal, November 1967

Discrete particle simulation of two-dimensional fluidized bed
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Discrete particle simulation of particulate systems: Theoretical developments
journal, July 2007

CFD simulation of dense particulate reaction system: Approaches, recent advances and applications
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Numerical simulation of the gas-solid flow in a fluidized bed by combining discrete particle method with computational fluid dynamics
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Why the two-fluid model fails to predict the bed expansion characteristics of Geldart A particles in gas-fluidized beds: A tentative answer
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Do we need sub-grid scale corrections for both continuum and discrete gas-particle flow models?
journal, April 2012

Searching for a mesh-independent sub-grid model for CFD simulation of gas–solid riser flows
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Physical mapping of fluidization regimes—the EMMS approach
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Simulation of gas–solid two-phase flow by a multi-scale CFD approach—of the EMMS model to the sub-grid level
journal, January 2007

Eulerian simulation of heterogeneous gas–solid flows in CFB risers: EMMS-based sub-grid scale model with a revised cluster description
journal, March 2008

CFD simulation of concurrent-up gas–solid flow in circulating fluidized beds with structure-dependent drag coefficient
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Filtered two-fluid models for fluidized gas-particle suspensions
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Filtered model for the cold-model gas–solid flow in a large-scale MTO fluidized bed reactor
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Filtered two-fluid models of fluidized gas-particle flows: New constitutive relations
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journal, June 2010

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Applicability of a coarse-grained CFD–DEM model on dense medium cyclone
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Coarse-Grained-Particle Method for Simulation of Liquid–Solids Reacting Flows
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Verification and validation of a coarse grain model of the DEM in a bubbling fluidized bed
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MP-PIC simulation of CFB riser with EMMS-based drag model
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journal, December 2014

Fluid and particle coarsening of drag force for discrete-parcel approach
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A bubble-based EMMS model for gas–solid bubbling fluidization
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Multiphase-flow Statistics using 3D Detection and Tracking Algorithm (MS3DATA): Methodology and application to large-scale fluidized beds
journal, June 2016

Linear-time connected-component labeling based on sequential local operations
journal, January 2003

A discrete numerical model for granular assemblies
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journal, April 2012

Open-source MFIX-DEM software for gas-solids flows: Part II — Validation studies
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An efficient and reliable predictive method for fluidized bed simulation
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Estimation of Numerical Errors Related to Some Basic Assumptions in Discrete Particle Methods
journal, November 2010

Validation of the similar particle assembly (SPA) model for the fluidization of Geldart's group A and D particles
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DEM speedup: Stiffness effects on behavior of bulk material
journal, February 2014

Experimental and computational study of gas–solid fluidized bed hydrodynamics
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DEM simulation of fluidized beds for gas-phase olefin polymerization
journal, December 1999

Three-Dimensional Full-Loop Hydrodynamic Simulation of a Circulating Fluidized-Bed Gasifier: A Quantitative Assessment of Drag Models
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