Janitha C. Bandara
Department of Process, Energy and Environmental Technology, University of South-eastern Norway
Britt M. E. Moldestad
Department of Process, Energy and Environmental Technology, University of South-eastern Norway
Marianne S. Eikeland
Department of Process, Energy and Environmental Technology, University of South-eastern Norway
Download article
https://doi.org/10.3384/ecp20170182Published in: Proceedings of The 60th SIMS Conference on Simulation and Modelling SIMS 2019, August 12-16, Västerås, Sweden
Linköping Electronic Conference Proceedings 170:28, p. 182-189
Published: 2020-01-24
ISBN: 978-91-7929-897-5
ISSN: 1650-3686 (print), 1650-3740 (online)
Computational fluid dynamic modeling and simulation is becoming a useful tool in the detailed analysis of multiphase flow systems. The level of uncertainty is different depending on selected modeling concept and numerical schemes. Physical uncertainties originated from geometrical dimensions and particle properties are important aspects. In this work, CPFD method was used to analyze the effect of dimensional uncertainty of loop seal pipe diameter and particle size distribution in a circulating fluidized bed. Five different pipe diameters were studied and 20% growth in particle circulation rate was observed as the diameter reduced from 30mm to 26mm. The effect of small changes in the particle size distribution was negligible and the particle circulation rate decreased by 32% with monodisperse particles of mean size.
CPFD simulation, uncertainty, circulating fluidized bed, particle circulation rate
M. J. Andrews, and P. J. O’Rourke. The multiphase particle-in-cell (MP-PIC) method for dense particulate flows. International Journal of Multiphase Flow, 22:379-402, 1996.
S. Bale, S. S. Tiwari, K. Nandakumar, and J. B. Joshi. Effect of Schmidt number and D/d ratio on mass transfer through gas-solid and liquid-solid packed beds: Direct numerical simulations. Powder Technology, 354; 529-39, 2019.
D, Gidapow. Multiphase Flow and Fluidization: Continuum and Kinetic Theory Descriptions. Boston: Americal Press, 1994.
H. Ma and Zhao. Investigating the fluidization of disk-like particles in a fluidized bed using CFD-DEM simulation. Advanced Powder Technology, 29:2380-2393, 2018.
L. Mathelin, M. Y. Hussaini, and T. A. Zang. Stochastic approaches to uncertainty quantification in CFD simulations. Numerical Algorithms, 38:209-236.
C. Moliner, F. Marchelli, N. Spanachi, A. Martinez-Felipe, B. Bosio, and E. Arato. CFD simulation of a spouted bed: Comparison between the Discrete Element Method (DEM) and the Two Fluid Model (TFM). Chemical Engineering Journal, 2018.
G. Olatunde and O. Fasina. Modified Ergun Equation for Airflow through Packed Bed of Loblolly Pine Grinds. KONA Powder and Particle Journal, advpub, 2019.
P. J. O’Rourke and D. M. Snider. Inclusion of collisional return-to-isotropy in the MP-PIC method. Chemical Engineering Science, 80:39-54, 2012.
P. J. O’Rourke and D. M. Snider. A new blended acceleration model for the particle contact forces induced by an interstitial fluid in dense particle/fluid flows. Powder Technology, 256:39-51, 2014.
P. J. O’Rourke and D. M. Snider. An improved collision damping time for MP-PIC calculations of dense particle flows with applications to polydisperse sedimenting beds and colliding particle jets. Chemical Engineering Science, 65:6014-6028, 2010.
P. J. O’Rourke, P. Zhao, and D. Snider. A model for collisional exchange in gas/liquid/solid fluidized beds. Chemical Engineering Science, 64:1784-1797, 2009.
P. Ostermeier, S. DeYoung, A. Vandersickel, S. Gleis, and H. Spliethoff. Comprehensive investigation and comparison of TFM, DenseDPM and CFD-DEM for dense fluidized beds. Chemical Engineering Science, 196: 291-309, 2019.
S. Pannala, M. Syamlal, and T. J. O’Brien. Computational Gas-Solids Flows and Reacting Systems: Theory, Methods and Practice. Hershey, USA: Engineering Science Reference.
Z. Qi, S. Kuang, and A. Yu.. Lattice Boltzmann investigation of non-Newtonian fluid flow through a packed bed of uniform spheres. Powder Technology 343: 225-36, 2019.
D. M. Snider. An Incompressible Three-Dimensional Multiphase Particle-in-Cell Model for Dense Particle Flows. Journal of Computational Physics, 170:523-549, 2001.
Y. Tang, Y. M. Lau, N. G. Deen, E. A. J. F. Peters, and J. A. M. Kuipers. Direct numerical simulations and experiments of a pseudo-2D gas-fluidized bed. Chemical Engineering Science 143: 166-80, 2016.
R. K. Thapa, A. Frohner, G. Tondl, C. Pfeifer, and B. M. Halvorsen. Circulating fluidized bed combustion reactor: Computational Particle Fluid Dynamic model validation and gas feed position optimization. Computers & Chemical Engineering, 92:180-188, 2016.
R. W. Walters and L. Huyse. Uncertainty Analysis for Fluid Mechanics with Applications. In Hanover: NASA Center for AeroSpace Information (CASI), 2002.
