A numerical method for solving the transient multidimensional population balance equation using an Euler–Lagrange formulation

Abstract A numerical method was developed to solve the population balance equation for transient multidimensional problems including particle–particle interactions. The population balance equation was written in a mixed Euler–Lagrange formulation which was solved using the discretization method that represents the number density function by impulse functions, an operator splitting method and a remeshing procedure for the internal variable that conserves the mass and the number of particles. This method was successfully tested against analytical and semi-analytical solutions for pure breakage, pure coalescence, breakage and coalescence, pure advection, advection with absorption, advection with binary uniform breakage and with constant or linear absorption. The method was also applied to a free-boundary transient one-dimensional gas-phase model in a bubble column reactor with simplified hydrodynamics. Accurate solutions were obtained for several simulation conditions for the bubble column, including gas absorption, bubble breakage, bubble coalescence and variable gas density effects. The results showed that the numerical method is adequate and robust for solving transient population balance problems with spatial dependence and particle–particle interactions.

[1]  P. Daoutidis,et al.  Numerical solution of multi-variable cell population balance models. II. Spectral methods , 2001 .

[2]  Milorad P. Dudukovic,et al.  Multiphase reactors – revisited , 1999 .

[3]  René David,et al.  Crystallization and precipitation engineering—V. Simulation of the precipitation of silver bromide octahedral crystals in a double-jet semi-batch reactor , 1995 .

[4]  H. Muhr,et al.  Crystallization and precipitation engineering-VI. Solving population balance in the case of the precipitation of silver bromide crystals with high primary nucleation rates by using the first order upwind differentiation , 1996 .

[5]  T. H. Tsang,et al.  A moving finite element method for the population balance equation , 1990 .

[6]  Hwang Chyi,et al.  Solution of population balance equations via block pulse functions , 1982 .

[7]  Michael J. Hounslow,et al.  Integral population balance equations for growth , 1997 .

[8]  P. Lage,et al.  Comments on the “An analytical solution to the population balance equation with coalescence and breakage—the special case with constant number of particles” by D.P. Patil and J.R.G. Andrews [Chemical Engineering Science 53(3) 599–601] , 2002 .

[9]  R. Clift,et al.  Bubbles, Drops, and Particles , 1978 .

[10]  D. Ramkrishna,et al.  On the solution of population balance equations by discretization—II. A moving pivot technique , 1996 .

[11]  Michael J. Hounslow,et al.  Finite-element methods for steady-state population balance equations , 1998 .

[12]  Samuel Sideman,et al.  Direct contact heat transfer with change of phase: Evaporation of discrete volatile films from the surface of a stagnant immiscible liquid , 1970 .

[13]  J. C. Slattery,et al.  Momentum, Energy and Mass Transfer in Continua , 1976 .

[14]  W. T. Scott,et al.  Analytic Studies of Cloud Droplet Coalescence I , 1968 .

[15]  B. J. McCoy,et al.  Continuous-mixture fragmentation kinetics: particle size reduction and molecular cracking , 1994 .

[16]  Jan Prüss,et al.  A population balance model for disperse systems: Drop size distribution in emulsion , 1998 .

[17]  Panagiotis D. Christofides,et al.  Nonlinear control of spatially inhomogenous aerosol processes , 1999 .

[18]  S. Osher,et al.  Very High Order Accurate TVD Schemes , 1986 .

[19]  D. G. Karamanev,et al.  Rise of gas bubbles in quiescent liquids , 1994 .

[20]  D. Ramkrishna The Status of Population Balances , 1985 .

[21]  Prodromos Daoutidis,et al.  Numerical solution of multi-variable cell population balance models. III. Finite element methods , 2001 .

[22]  D. Ramkrishna,et al.  On the solution of population balance equations by discretization - III. Nucleation, growth and aggregation of particles , 1997 .

[23]  Gerhart Eigenberger,et al.  Detailed modeling of the chemisorption of CO2 into NaOH in a bubble column , 1996 .

[24]  Yatish T. Shah,et al.  Design parameters estimations for bubble column reactors , 1982 .

[25]  Doraiswami Ramkrishna,et al.  Population Balances: Theory and Applications to Particulate Systems in Engineering , 2000 .

[26]  Robert M. Ziff,et al.  The kinetics of cluster fragmentation and depolymerisation , 1985 .

[27]  Bruce W. Char,et al.  Maple V Language Reference Manual , 1993, Springer US.

[28]  P. Lage Conservation of bubble size distribution during gas reactive absorption in bubble column reactors , 1999 .

[29]  A. Steiff,et al.  Direct-contact heat transfer with change of phase: a population balance model , 1999 .

[30]  D. P. Patil,et al.  An analytical solution to continuous population balance model describing floc coalescence and breakage : A special case , 1998 .

[31]  Domenico Colella,et al.  A study on coalescence and breakage mechanisms in three different bubble columns , 1999 .

[32]  Friedrich Srienc,et al.  Solutions of population balance models based on a successive generations approach , 1997 .

[33]  J. Hoffman Numerical Methods for Engineers and Scientists , 2018 .

[34]  V. Papangelakis,et al.  Solution techniques for population balance equations as applied to heterogeneous aqueous processes in stirred tank reactors , 1997 .