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High resolution algorithms for multidimensional population balance equations

  • University of Illinois at Urbana-Champaign

Research output: Contribution to journalArticlepeer-review

293 Scopus citations

Abstract

Population balance equations have been used to model a wide range of processes including polymerization, crystallization, cloud formation, and cell dynamics. Rather than developing new algorithms specific to population balance equations, it is proposed to adapt the high-resolution finite volume methods developed for compressible gas dynamics, which have been applied to aerodynamics, astrophysics, detonation waves, and related fields where shock waves occur. High-resolution algorithms are presented for simulating multidimensional population balance equations with nucleation and size-dependent growth rates. For sharp distributions, these high-resolution algorithms can achieve improved numerical accuracy with orders-of-magnitude lower computational cost than other finite difference and finite volume algorithms. The algorithms are implemented in the ParticleSolver software package, which is applied to batch and continuous processes with one and multiple internal coordinates.

Original languageEnglish
Pages (from-to)2738-2749
Number of pages12
JournalAIChE Journal
Volume50
Issue number11
DOIs
StatePublished - Nov 2004

Keywords

  • Crystallization
  • Distributed parameter systems
  • Finite volume methods
  • Hyperbolic equations
  • Numerical analysis
  • Population balance equations

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