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International Journal of Energy for a Clean Environment
SJR: 0.195 SNIP: 0.435 CiteScore™: 0.74

ISSN Druckformat: 2150-3621
ISSN Online: 2150-363X

International Journal of Energy for a Clean Environment

Formerly Known as Clean Air: International Journal on Energy for a Clean Environment

DOI: 10.1615/InterJEnerCleanEnv.2019025595
pages 135-151

VALIDATION AND COMPARISON OF DISCRETE ELEMENT MODEL AND TWO-FLUID MODEL FOR DENSE GAS-SOLID FLOW SIMULATION IN A FLUIDIZED BED

Ling Zhou
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China
Ling Bai
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China
Lingjie Zhang
Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China
Weidong Shi
School of Mechanical Engineering, Nantong University, No. 9 Seyuan Road, Nantong 226019, China
Ramesh K. Agarwal
Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, 1 Brookings Dr., St. Louis, MO 63130

ABSTRAKT

Two-fluid model (TFM) and discrete element model (DEM) are the two most widely used methods for numerical simulation of dense gas-solid flow in a fluidized bed. It is of great interest to investigate the differences in the physics of these two models and their applicability regime in modeling the dense gas-solid flow accurately. In this study, a quasi-2D spouted fluidized bed was simulated by DEM and TFM separately. In DEM, the hydrodynamic flow field is computed by solving the incompressible continuity and Navier-Stokes equations, while the motion of the solid particles is modeled by the Newtonian equations of motion. The results show that the TFM cannot predict the evolution of the bubbles in the fluidized bed accurately, but it could predict the height of the bed better in the initial period of fluidization. Compared to the TFM, it is found that the DEM is closer to the experiment in determining the changes in the bubble shape, bed pressure fluctuations, and particle velocity; however, the bed height predicted by DEM is slightly lower than the experimental value. The TFM simulations based on the Eulerian approach although computationally more efficient are not very accurate in capturing the flow features of the fluidized bed. It is concluded that for accurate simulation of transient dense gas-solid flow simulation of a fluidized bed, DEM should be used and not the TFM based on the kinetic theory of granular flow.

REFERENZEN

  1. Alobaid, F., (2015) , A Particle–Grid Method for Euler–Lagrange Approach, Powder Technol., 286, pp. 342–360.

  2. Alobaid, F., Ströhle, J., and Epple, B., (2013) , Extended CFD/DEM Model for the Simulation of Circulating Fluidized Bed, Adv. Powder Technol., 24(1), pp. 403–415.

  3. Altantzis, C., Bates, R.B., and Ghoniem, A.F., (2015) , 3D Eulerian Modeling of Thin Rectangular Gas–solid Fluidized Beds: Estimation of the Specularity Coefficient and Its Effects on Bubbling Dynamics and Circulation Times, Powder Technol., 270, pp. 256–270.

  4. Askaripour, H. a nd Dehkordi, A.M., (2015) , Simulation of 3D Freely Bubbling Gas–Solid Fluidized Beds using Various Drag Models: TFM Approach, Chem. Eng. Res. Design, 100, pp. 377–390.

  5. Bai, L., Shi, W., Zhou, L., Zhang, L., Li, W., and Agarwal, R.K., (2018) , Experimental Study of Transient Hydrodynamics in a Spouted Bed of Polydisperse Particles, ASME J. Energy Resources Technol., 140(8), p. 082206.

  6. Beheshti, S.M., Ghassemi, H., and Shahsavan-Markadeh, R., (2015) , Process Simulation of Biomass Gasification in a Bubbling Fluidized Bed Reactor, Energy Convers. Manage., 94, pp. 345–352.

  7. Bellan, S., Matsubara, K., Cheok, C.H., Gokon, N., and Kodama, T., (2017) , CFD–DEM Investigation of Particles Circulation Pattern of Two-Tower Fluidized Bed Reactor for Beam-down Solar Concentrating System, Powder Technol., 319, pp. 228–237.

  8. Bellan, S., Matsubara, K., Cho, H.S., Gokon, N., and Kodama, T., (2018) , A CFD–DEM study of Hydrodynamics with Heat Transfer in a Gas–Solid Fluidized Bed Reactor for Solar Thermal Applications, Int. J. Heat Mass Transf., 116, pp. 377–392.

  9. Banaei, M., Jegers, J., van Sint Annaland, M., Kuipers, J.A.M., and Deen, N.G., (2018) , Tracking of Particles using TFM in Gas–Solid Fluidized Beds, Adv. Powder Technol., 29(10), pp. 2538–2547.

  10. Banerjee, S. and Agarwal, R.K., (2016) , An Eulerian Approach to Computational Fluid Dynamics Simulation of a Chemical-Looping Combustion Reactor with Chemical Reactions, ASME J. Energy Resources Technol., 138(4), p. 042201.

  11. Banerjee, S. and Agarwal, R.K., (2017) , Review of Recent Advances in Process Modeling and Computational Fluid Dynamics Simulation of Chemical-Looping Combustion, Int. J. Energy Clean Environ., 18(1), pp. 1–37.

  12. Bowen, R.M., (1982) , Compressible Porous Media Models by Use of the Theory of Mixtures, Int. J. Eng. Sci., 20(6), pp. 697–735.

  13. Gidaspow, D., (1994) , Multiphase Flow and Fluidization: Continuum and Kinetic Theory Descriptions, New York: Academic Press.

  14. Hernández-Jiménez, F., García-Gutiérrez, L.M., Soria-Verdugo, A., and Acosta-Iborra, A., (2015) , Fully Coupled TFM–DEM Simulations to Study the Motion of Fuel Particles in a Fluidized Bed, Chem. Eng. Sci., 134, pp. 57–66.

  15. Limtrakul, S., Boonsrirat, A., and Vatanatham, T., (2004) , DEM Modeling and Simulation of a Catalytic Gas–Solid Fluidized Bed Reactor: A Spouted Bed as a Case Study, Chem. Eng. Sci., 59(22–23), pp. 5225–5231.

  16. Lun, C.K.K., Savage, S.B., Jeffrey, D.J., and Chepurniy, N., (1984) , Kinetic Theories for Granular Flow: Inelastic Particles in Couette Flow and Slightly Inelastic Particles in a General Flowfield, J. Fluid Mech., 140, pp. 223–256.

  17. Maure r, S., Wagner, E.C., van Ommen, J.R., Schildhauer, T.J., Teske, S.L., Biollaz, S.M., Wokaun, A., and Mudde, R.F., (2015) , Influence of Vertical Internals on a Bubbling Fluidized Bed Characterized by X-Ray Tomography, Int. J. Multiphase Flow, 75, pp. 237–249.

  18. Nikolopoulos, A., Stroh, A., Zeneli, M., Alobaid, F., Nikolopoulos, N., Ströhle, J., Karellasc, S., Eppleb B., and Grammelis, P., (2017), Numerical Investigation and Comparison of Coarse Grain CFD–DEM and TFM in the Case of a 1 MWth Fluidized Bed Carbonator Simulation, Chem. Eng. Sci., 163, pp. 189–205.

  19. Sakai, M., Abe, M., Shigeto, Y., Mizutani, S., Takahashi, H., Viré, A., Percival, J.R., Xiang, J., and Pain, C.C., (2014), Verification and Validation of a Coarse Grain Model of the DEM in a Bubbling Fluidized Bed, Chem. Eng. J., 244, pp. 33–43.

  20. Sivakumar, R., Saravanan, R., Perumal, A.E., and Iniyan, S., (2016) , Fluidized Bed Drying of Some Agro Products—A Review, Renew. Sustain. Energy Rev., 61, pp. 280–301.

  21. Syamlal, M. and O'Brien, T.J., (1989) , Computer Simulation of Bubbles in a Fluidized Bed, AIChE Symp. Ser., 85(1), pp. 22–31.

  22. Tsuji, T., Yabumoto, K., and Tanaka, T., (2008) , Spontaneous Structures in Three-Dimensional Bubbling Gas-Fluidized Bed by Parallel DEM–CFD Coupling Simulation, Powder Technol., 184(2), pp. 132–140.

  23. Yang, M. and Agarwal, R.K., (2017) , Transient Cold Flow Simulation of a Moving Bed Air Reactor for Chemical Looping Combustion, Int. J. Energy Clean Environ., 18(4), pp. 387–399.

  24. Zhou, L., Zhang, L., Shi, W., Agarwal, R.K., and Li, W., (2018) , Transient Computational Fluid Dynamics/ Discrete Element Method Simulation of Gas–Solid Flow in a Spouted Bed and Its Validation by High-Speed Imaging Experiment, ASME J. Energy Resources Technol., 140(1), p. 012206.

  25. Zhuang, Y.Q., Chen, X.M., Luo, Z.H., and Xiao, J., (2014) , CFD–DEM Modeling of Gas–Solid Flow and Catalytic MTO Reaction in a Fluidized Bed Reactor, Comput. Chem. Eng., 60, pp. 1–16.