Stochastic solution of population balance equations for reactor networks

DOI10.1016/j.jcp.2013.09.021zbMath1349.82101OpenAlexW2059539884MaRDI QIDQ348381

Jethro Akroyd, Markus Kraft, William J. Menz

Publication date: 5 December 2016

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2013.09.021

zbMATH Keywords

networkscoagulationcompartmental modelstochastic weighted algorithmsCSTRpopulation balance

Mathematics Subject Classification ID

Related Items (6)

Stochastic weighted particle methods for population balance equations with coagulation, fragmentation and spatial inhomogeneity ⋮ A hybrid particle-number and particle model for efficient solution of population balance equations ⋮ A detailed particle model for polydisperse aggregate particles ⋮ Mass-based finite volume scheme for aggregation, growth and nucleation population balance equation ⋮ New volume consistent approximation for binary breakage Population Balance Equation and its convergence analysis ⋮ Two-component aerosol dynamic simulation using differentially weighted operator splitting Monte Carlo method

Uses Software

• STAR-CCM+
• PovRay

Cites Work

• Application of stochastic weighted algorithms to a multidimensional silica particle model
• A variance-reduced electrothermal Monte Carlo method for semiconductor device simulation
• Stochastic weighted particle methods for population balance equations
• A predictor-corrector algorithm for the coupling of stiff ODEs to a particle population balance
• An efficient stochastic algorithm for simulating nano-particle dynamics
• A population balance-Monte Carlo method for particle coagulation in spatially inhomogeneous systems
• A new numerical approach for the simulation of the growth of inorganic nanoparticles
• A differentially weighted Monte Carlo method for two-component coagulation
• A Stochastic Weighted Particle Method for Coagulation--Advection Problems
• An Efficient Stochastic Algorithm for Studying Coagulation Dynamics and Gelation Phenomena
• Partially Stirred Reactor Model: Analytical Solutions and Numerical Convergence Study of a PDF/Monte Carlo Method
• Stochastic algorithms for solving Smolouchovsky coagulation equation and applications to aerosol growth simulation.
• Accuracy and efficiency of the sophisticated direct simulation Monte Carlo algorithm for simulating noncontinuum gas flows
• The Linear Process Deferment Algorithm: A new technique for solving population balance equations

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