Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark

Lu, Liqiang; Liu, Xiaowen; Li, Tingwen; Wang, Limin; Ge, Wei; Benyahia, Sofiane

doi:10.1016/j.powtec.2017.08.034

Title: Assessing the capability of continuum and discrete particle methods to simulate gas-solids flow using DNS predictions as a benchmark

Journal Article · Sat Aug 12 04:00:00 UTC 2017 · Powder Technology

DOI: https://doi.org/10.1016/j.powtec.2017.08.034 · OSTI ID:1440342

Lu, Liqiang ^[1]; Liu, Xiaowen ^[2]; Li, Tingwen ^[3]; Wang, Limin ^[4]; Ge, Wei ^[2]; Benyahia, Sofiane ^[1]

National Energy Technology Lab. (NETL), Morgantown, WV (United States)
Chinese Academy of Sciences (CAS), Beijing (China). State Key Lab. of Multiphase Complex Systems and Inst. of Process Engineering (IPE); Univ. of Chinese Academy of Sciences, Beijing (China)
National Energy Technology Lab. (NETL), Morgantown, WV (United States); AECOM, Morgantown, WV (United States)
Chinese Academy of Sciences (CAS), Beijing (China). State Key Lab. of Multiphase Complex Systems and Inst. of Process Engineering (IPE)

For this study, gas–solids flow in a three-dimension periodic domain was numerically investigated by direct numerical simulation (DNS), computational fluid dynamic-discrete element method (CFD-DEM) and two-fluid model (TFM). DNS data obtained by finely resolving the flow around every particle are used as a benchmark to assess the validity of coarser DEM and TFM approaches. The CFD-DEM predicts the correct cluster size distribution and under-predicts the macro-scale slip velocity even with a grid size as small as twice the particle diameter. The TFM approach predicts larger cluster size and lower slip velocity with a homogeneous drag correlation. Although the slip velocity can be matched by a simple modification to the drag model, the predicted voidage distribution is still different from DNS: Both CFD-DEM and TFM over-predict the fraction of particles in dense regions and under-predict the fraction of particles in regions of intermediate void fractions. Also, the cluster aspect ratio of DNS is smaller than CFD-DEM and TFM. Since a simple correction to the drag model can predict a correct slip velocity, it is hopeful that drag corrections based on more elaborate theories that consider voidage gradient and particle fluctuations may be able to improve the current predictions of cluster distribution.

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Research Organization:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, and Morgantown, WV (United States); Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE); National Natural Science Foundation of China (NSFC)

OSTI ID:: 1440342

Report Number(s):: NETL-PUB--21175; PII: S0032591017306782

Journal Information:: Powder Technology, Journal Name: Powder Technology Journal Issue: C Vol. 321; ISSN 0032-5910

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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