Assessment of Different Discrete Particle Methods Ability To Predict Gas-Particle Flow in a Small-Scale Fluidized Bed

Lu, Liqiang; Gopalan, Balaji; Benyahia, Sofiane

doi:10.1021/acs.iecr.7b01862

Assessment of Different Discrete Particle Methods Ability To Predict Gas-Particle Flow in a Small-Scale Fluidized Bed

Journal Article · Wed Jun 21 00:00:00 EDT 2017 · Industrial and Engineering Chemistry Research

DOI:https://doi.org/10.1021/acs.iecr.7b01862· OSTI ID:1433640

^[1]; Gopalan, Balaji ^[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. Research Corp., Morgantown, WV (United States)

Several discrete particle methods exist in the open literature to simulate fluidized bed systems, such as discrete element method (DEM), time driven hard sphere (TDHS), coarse-grained particle method (CGPM), coarse grained hard sphere (CGHS), and multi-phase particle-in-cell (MP-PIC). These different approaches usually solve the fluid phase in a Eulerian fixed frame of reference and the particle phase using the Lagrangian method. The first difference between these models lies in tracking either real particles or lumped parcels. The second difference is in the treatment of particle-particle interactions: by calculating collision forces (DEM and CGPM), using momentum conservation laws (TDHS and CGHS), or based on particle stress model (MP-PIC). These major model differences lead to a wide range of results accuracy and computation speed. However, these models have never been compared directly using the same experimental dataset. In this research, a small-scale fluidized bed is simulated with these methods using the same open-source code MFIX. The results indicate that modeling the particle-particle collision by TDHS increases the computation speed while maintaining good accuracy. Also, lumping few particles in a parcel increases the computation speed with little loss in accuracy. However, modeling particle-particle interactions with solids stress leads to a big loss in accuracy with a little increase in computation speed. The MP-PIC method predicts an unphysical particle-particle overlap, which results in incorrect voidage distribution and incorrect overall bed hydrodynamics. Based on this study, we recommend using the CGHS method for fluidized bed simulations due to its computational speed that rivals that of MPPIC while maintaining a much better accuracy.

View Accepted Manuscript (DOE)

Research Organization:: National Energy Technology Lab. (NETL), Morgantown, WV (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy (FE)

OSTI ID:: 1433640

Report Number(s):: NETL--PUB-21100

Journal Information:: Industrial and Engineering Chemistry Research, Journal Name: Industrial and Engineering Chemistry Research Journal Issue: 27 Vol. 56; ISSN 0888-5885

Publisher:: American Chemical Society (ACS)Copyright Statement

Country of Publication:: United States

Language:: English

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