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A hybrid stochastic/fixed-sectional method for solving the population balance equation

Abstract : The dynamics of flowing non-inertial particles undergoing nucleation, surface growth/loss, agglomeration and sometimes breakage, is usually characterised by the particle size distribution function. This distribution evolves according to a population balance equation. A novel approach combining Monte Carlo and fixed-sectional methods is proposed to minimise the discretisation errors when solving the surface growth/loss term of the population balance equation. The approach relies on a fixed number of stochastic particles and sections, with a numerical algorithm organised to minimise errors even for a moderate number of stochastic particles and sections. Canonical test cases featuring nucleation, agglomeration, and surface growth/loss are simulated. Results against the analytical solutions confirm the improvement in accuracy of the novel approach compared with fixed-sectional methods for the same computational effort. The hybrid method is thus of particular interest for simulating problems where surface growth/loss dominates the particles physics.
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Contributor : Pascale Domingo <>
Submitted on : Friday, December 4, 2020 - 9:10:19 PM
Last modification on : Wednesday, December 9, 2020 - 9:12:34 AM


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Alexandre Bouaniche, Luc Vervisch, Pascale Domingo. A hybrid stochastic/fixed-sectional method for solving the population balance equation. Chemical Engineering Science, Elsevier, 2019, 209, pp.115198. ⟨10.1016/j.ces.2019.115198⟩. ⟨hal-02313897⟩



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