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Approximate ODE models for population balance systems
Affiliation:1. Max-Planck Institute for Dynamics of Complex Technical Systems, Sandtorstr. 1, 39106 Magdeburg, Germany;2. Technische Universität Berlin, Einsteinufer 17, 10587 Berlin, Germany;3. Humboldt-Universität zu Berlin, Philippstr. 13, 10115 Berlin, Germany;4. Otto-von-Guericke Universität Magdeburg, Universitätsplatz 2, 39106 Magdeburg, Germany;1. University of Southern Denmark, Department of Chemical Engineering, Biotechnology and Environmental Technology, Niels Bohrs Allé 1, DK-5230 Odense M, Denmark;2. Università degli Studi di Cagliari, Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali, Via Marengo 2, 09123 Cagliari, Italy;1. Department of Chemical Engineering, Kyoto University, Kyoto 6158510, Japan;2. Department of Systems Science, Kyoto University, Kyoto 6068501, Japan;3. Formulation Technology Research Laboratories, Daiichi Sankyo Co., Ltd., Hiratsuka 2540014, Japan;1. Simons Centre for the Study of Living Machines, National Centre for Biological Sciences, Tata Institute of Fundamental Research, Bangalore, India;1. Mineral Process and Chemical Engineering Department, Universidad de Antofagasta, Antofagasta, Chile;2. Process Technology, CICITEM, Antofagasta, Chile;3. Department of Metallurgical and Mining Engineering, Universidad Católica del Norte, Antofagasta, Chile
Abstract:We propose an approximate polynomial method of moments for a class of first-order linear PDEs (partial differential equations) of hyperbolic type, involving a filtering term with applications to population balance systems with fines removal terms. The resulting closed system of ODEs (ordinary differential equations) represents an extension to a recently published method of moments which utilizes least-square approximations of factors of the PDE over orthogonal polynomial bases. An extensive numerical analysis has been carried out for proof-of-concept purposes. The proposed modeling scheme is generally of interest for control and optimization of processes with distributed parameters.
Keywords:Method of moments  Population balance equation  Least-square approximation  Method of characteristics
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