Filtered models for reacting gas-particle flows

Using the kinetic-theory-based two-fluid models as a starting point, we develop filtered two-fluid models for a gas-particle flow in the presence of an isothermal, first-order, solid-catalyzed reaction of a gaseous species. As a consequence of the filtering procedure, terms describing the filtered reaction rate and filtered reactant dispersion need to be constituted in order to close the filtered species balance equation. In this work, a constitutive relation for filtered reaction rate is developed by performing fine-grid, two-fluid model simulations of an isothermal, solid-catalyzed, first-order reaction in a periodic domain. It is observed that the cluster-scale effectiveness factor, defined as the ratio between the reaction rate observed in a fine-grid simulation to that observed in a coarse-grid simulation, can be substantially smaller than unity, and it manifests an inverted bell shape dependence on filtered particle volume fraction in all simulation cases. Moreover, the magnitude of the deviation in the cluster-scale effectiveness factor from unity is a strong function of the meso-scale Thiele modulus and dimensionless filter size. Thus coarse-grid simulations of a reacting gas-particle flow will overestimate the reaction rate if the cluster-scale effectiveness factor is not accounted for.

[1]  Jinghai Li,et al.  A multiscale mass transfer model for gas-solid riser flows: Part II - Sub-grid simulation of ozone decomposition , 2008 .

[2]  Jinghai Li,et al.  A multiscale mass transfer model for gas-solid riser flows: Part 1 - Sub-grid model and simple tests , 2008 .

[3]  James B. Rawlings,et al.  Chemical Reactor Analysis and Design Fundamentals , 2002 .

[4]  R. Jackson,et al.  The Dynamics of Fluidized Particles , 2000 .

[5]  Dimitri Gidaspow,et al.  Computation and measurements of mass transfer and dispersion coefficients in fluidized beds , 2010 .

[6]  Sankaran Sundaresan,et al.  Verification of filtered two‐fluid models for gas‐particle flows in risers , 2011 .

[7]  D. Gunn Transfer of heat or mass to particles in fixed and fluidised beds , 1978 .

[8]  Madhava Syamlal,et al.  MFIX documentation numerical technique , 1998 .

[9]  M. Syamlal,et al.  Fluid dynamic simulation of O3 decomposition in a bubbling fluidized bed , 2003 .

[10]  Liang-Shih Fan,et al.  Principles of gas-solid flows , 1998 .

[11]  Sreekanth Pannala,et al.  Validation Studies on Filtered Model Equations for Gas-Particle Flows in Risers , 2012 .

[12]  D. Gidaspow Multiphase Flow and Fluidization: Continuum and Kinetic Theory Descriptions , 1994 .

[13]  Olivier Simonin,et al.  A functional subgrid drift velocity model for filtered drag prediction in dense fluidized bed , 2012 .

[14]  Dimitri Gidaspow,et al.  Measurements and computation of low mass transfer coefficients for FCC particles with ozone decomposition reaction , 2012 .

[15]  Fariborz Taghipour,et al.  CFD Modeling of the Hydrodynamics and Reaction Kinetics of FCC Fluidized-Bed Reactors , 2005 .

[16]  S. Sundaresan,et al.  The role of meso-scale structures in rapid gas–solid flows , 2001, Journal of Fluid Mechanics.

[17]  Patrick J. Roache,et al.  Verification and Validation in Computational Science and Engineering , 1998 .

[18]  Schalk Cloete,et al.  On the effect of cluster resolution in riser flows on momentum and reaction kinetic interaction , 2011 .

[19]  Ioannis G. Kevrekidis,et al.  From Bubbles to Clusters in Fluidized Beds , 1998 .

[20]  Sankaran Sundaresan,et al.  Constitutive Models for Filtered Two-Fluid Models of Fluidized Gas–Particle Flows , 2011 .

[21]  Arthur T. Andrews,et al.  Filtered two‐fluid models for fluidized gas‐particle suspensions , 2008 .

[22]  Debby Newslow Verication and Validation , 2013 .

[23]  Sankaran Sundaresan,et al.  Coarse-Grid Simulation of Gas-Particle Flows in Vertical Risers , 2005 .