Conference article
Analyzing the effects of particle density, size, size distribution and shape for minimum fluidization velocity with Eulerian-Lagrangian CFD simulation
Janitha Chandimal Bandara
Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway
Marianne Sørflaten Eikeland
Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway
Britt Margrethe Emilie Moldestad
Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway
Download articlehttp://dx.doi.org/10.3384/ecp1713860Published in: Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017
Linköping Electronic Conference Proceedings 138:8, p. 60-65
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Published: 2017-09-27
ISBN: 978-91-7685-417-4
ISSN: 1650-3686 (print), 1650-3740 (online)
Abstract
Fluidized bed reactor systems are widely used due to
excellent heat and mass transfer characteristics followed
by uniform temperature distribution throughout the
reactor volume. The importance of fluidized beds is
further demonstrated in high exothermic reactions such
as combustion and gasification where fluidization
avoids the hot spot and cold spot generation. A bed
material, such as sand or catalyst, is normally involved
in fluidized bed combustion and gasification of biomass.
Therefore, it is vital to analyze the hydrodynamics of
bed material, especially the minimum fluidization
velocity, as it governs the fluid flowrate into the reactor
system. There are limitations in experimental
investigations of fluidized beds such as observing the
bed interior hydrodynamics, where CFD simulations has
become a meaningful way with the high computer
power. However, due to the large differences in scales
from the particle to the reactor geometry, complex
interface momentum transfer and particle collisions,
CFD modeling and simulation of particle systems are
rather difficult. Multiphase particle-in-cell method is an
efficient version of Eulerian-Lagrangian modeling and
Barracuda VR commercial package was used in this
work to analyze the minimum fluidization velocity of
particles depending on size, density and size
distribution.
Wen-YU-Ergun drag model was used to model the
interface momentum transfer where default equations
and constants were used for other models. The effect of
the particle size was analyzed using monodispersed
Silica particles with diameters from 400 to 800 microns.
Minimum fluidization velocity was increased with
particle diameter, where it was 0.225 m/s for the 600
microns particles. The density effect was analyzed for
600 microns particles with seven different density
values and the minimum fluidization velocity again
showed proportionality to the density. The effect of the
particle size distribution was analyzed using Silica.
Particles with different diameters were mixed together
according to pre-determined proportions as the final
mixture gives a mean diameter of 600 microns. The 600
microns monodispersed particle bed showed the highest
minimum fluidization velocity. However, some particle
mixtures were composed with larger particles up to 1000
micron, but with a fraction of smaller particles down to 200 microns at the same time. This shows the effect of
strong drag from early fluidizing smaller particles. The
only variability for pressure drop during packed bed is
the particle size and it was clearly observed in all three
cases.
Keywords
Fluidization, Bioenergy, Particle
properties, Minimum fluidization velocity
References
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