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Title: Assessment of different coarse graining strategies to simulate polydisperse gas-solids flow

Abstract

Continuum methods require the additional development of solids stress closures for polydisperse powders based on complex kinetic theories that are non-trivial to develop, code, and numerically converge for the wide range of fluidization regimes from very dilute to dense/frictional flow limit. On the other hand, it is straightforward to model the flow of polydisperse granular materials by treating particles as discrete rigid bodies that are tracked following simple physical laws of motion. The coarsening of these discrete methods by lumping several particles in a parcel alleviates the significant computational cost associated with these discrete methods while introducing some inaccuracies in the numerical results. In this research, we explore two different coarse graining methods that can be applied to polydisperse powders, namely the same statistic weight method (SSW) and the same size parcel method (SSP), and assess their accuracy by comparison with the finest simulation results obtained with a discrete element method (DEM). For Geldart group B powders fluidized at a relative low superficial velocity, the numerical results indicate that the SSW is more accurate than the SSP method. For type A powders fluidized at relatively high velocity, these two methods predict similar results. Interestingly, up to four times increase inmore » the speed of simulation of the SSP method was obtained because the original polydisperse powder is scaled to a mono-disperse system in terms of particle-particle collision. Lastly, these results suggest that the SSP method is more favorable for the simulation of fluidized beds due to its accuracy and efficiency while the SSW method may be used for granular flow and dense fluidized bed systems where capturing the size segregation of particles due to collision is important.« less

Authors:
ORCiD logo [1];  [1];  [2]; ORCiD logo [1]
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  1. National Energy Technology Lab. (NETL), Morgantown, WV (United States)
  2. National Energy Technology Lab. (NETL), Morgantown, WV (United States); AECOM, Morgantown, WV (United States)
Publication Date:
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1461078
Alternate Identifier(s):
OSTI ID: 1548801
Report Number(s):
NETL-PUB-21465
Journal ID: ISSN 0009-2509; PII: S0009250918300034
Resource Type:
Accepted Manuscript
Journal Name:
Chemical Engineering Science
Additional Journal Information:
Journal Volume: 179; Journal Issue: C; Journal ID: ISSN 0009-2509
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; Discrete element method; Coarse grained method; Polydisperse; Fluidization; Bubbling fluidized bed; FCC particles

Citation Formats

Lu, Liqiang, Xu, Yupeng, Li, Tingwen, and Benyahia, Sofiane. Assessment of different coarse graining strategies to simulate polydisperse gas-solids flow. United States: N. p., 2018. Web. doi:10.1016/j.ces.2018.01.003.
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Lu, Liqiang, Xu, Yupeng, Li, Tingwen, & Benyahia, Sofiane. Assessment of different coarse graining strategies to simulate polydisperse gas-solids flow. United States. https://doi.org/10.1016/j.ces.2018.01.003
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Lu, Liqiang, Xu, Yupeng, Li, Tingwen, and Benyahia, Sofiane. Sun . "Assessment of different coarse graining strategies to simulate polydisperse gas-solids flow". United States. https://doi.org/10.1016/j.ces.2018.01.003. https://www.osti.gov/servlets/purl/1461078.
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@article{osti_1461078,
title = {Assessment of different coarse graining strategies to simulate polydisperse gas-solids flow},
author = {Lu, Liqiang and Xu, Yupeng and Li, Tingwen and Benyahia, Sofiane},
abstractNote = {Continuum methods require the additional development of solids stress closures for polydisperse powders based on complex kinetic theories that are non-trivial to develop, code, and numerically converge for the wide range of fluidization regimes from very dilute to dense/frictional flow limit. On the other hand, it is straightforward to model the flow of polydisperse granular materials by treating particles as discrete rigid bodies that are tracked following simple physical laws of motion. The coarsening of these discrete methods by lumping several particles in a parcel alleviates the significant computational cost associated with these discrete methods while introducing some inaccuracies in the numerical results. In this research, we explore two different coarse graining methods that can be applied to polydisperse powders, namely the same statistic weight method (SSW) and the same size parcel method (SSP), and assess their accuracy by comparison with the finest simulation results obtained with a discrete element method (DEM). For Geldart group B powders fluidized at a relative low superficial velocity, the numerical results indicate that the SSW is more accurate than the SSP method. For type A powders fluidized at relatively high velocity, these two methods predict similar results. Interestingly, up to four times increase in the speed of simulation of the SSP method was obtained because the original polydisperse powder is scaled to a mono-disperse system in terms of particle-particle collision. Lastly, these results suggest that the SSP method is more favorable for the simulation of fluidized beds due to its accuracy and efficiency while the SSW method may be used for granular flow and dense fluidized bed systems where capturing the size segregation of particles due to collision is important.},
doi = {10.1016/j.ces.2018.01.003},
journal = {Chemical Engineering Science},
number = C,
volume = 179,
place = {United States},
year = {Sun Jan 07 00:00:00 EST 2018},
month = {Sun Jan 07 00:00:00 EST 2018}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1016/j.ces.2018.01.003
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Cited by: 35 works
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Fig. 1 Fig. 1 : Different coarse graining strategies for polydisperse powders
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    Works referencing / citing this record:

    Dynamics of segregation and fluidization of binary mixtures in a cylindrical fluidized bed
    journal, June 2019

    • Singh, Brajesh K.; Roy, Shantanu; Buwa, Vivek V.
    • AIChE Journal, Vol. 65, Issue 10
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    Experimental methods in chemical engineering: Unresolved CFD‐DEM
    journal, October 2019

    • Bérard, Ariane; Patience, Gregory S.; Blais, Bruno
    • The Canadian Journal of Chemical Engineering, Vol. 98, Issue 2
    • DOI: 10.1002/cjce.23686
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      Figures / Tables found in this record:

      Fig. 1 (p. 5)figure
      Fig. 2 (p. 8)figure
      Table 1 (p. 9)table
      Fig. 3 (p. 10)figure
      Table 2 (p. 10)table
      Fig. 4 (p. 12)figure
      Fig. 5 (p. 14)figure
      Fig. 6 (p. 15)figure
      Fig. 7 (p. 16)figure
      Fig. 8 (p. 18)figure
      Fig. 9 (p. 19)figure
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