Volume 93
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Mieg, L., Bergold, T., Illana Mahiques, E., Scherer, V., & Mönnigmann, M. (2024). A reduced model for particle calcination for use in DEM/CFD simulations. Particuology, 93, 316-327. https://doi.org/10.1016/j.partic.2024.07.004
A reduced model for particle calcination for use in DEM/CFD simulations (Open Access)
Lucas Mieg a, Torben Bergold b, Enric Illana Mahiques b, Viktor Scherer b, Martin Mönnigmann a *
a Automatic Control and System Theory, Ruhr University Bochum, Germany
b Energy Plant Technology, Ruhr University Bochum, Germany
10.1016/j.partic.2024.07.004
Volume 93, October 2024, Pages 316-327
Received 13 February 2024, Revised 18 June 2024, Accepted 4 July 2024, Available online 14 July 2024, Version of Record 1 August 2024.
E-mail: martin.moennigmann@ruhr-uni-bochum.de

Highlights

• Discrete element method coupled with continuous fluid dynamics is state-of-art for reactive bulks.

• Intra-particle models become computationally dominant for non-spherical particles.

• A reduced model based on proper orthogonal decomposition and Galerkin-projection is developed.

• A speedup by a factor of 2.5 is achieved for simulation with the reduced model.


Abstract

We treat the accurate simulation of the calcination reaction in particles, where the particles are large and, thus, the inner-particle processes must be resolved. Because these processes need to be described with coupled partial differential equations (PDEs) that must be solved numerically, the computation times for a single particle are too high for use in simulations that involve many particles. Simulations of this type arise when the Discrete Element Method (DEM) is combined with Computational Fluid Dynamics (CFD) to investigate industrial systems such as quicklime production in lime shaft kilns.

We show that, based on proper orthogonal decomposition and Galerkin projection, reduced models can be derived for single particles that provide the same spatial and temporal resolution as the original PDE models at a considerably reduced computational cost. Replacing the finite volume particle models with the reduced models results in an overall reduction of the reactor simulation time by about 40% for the sample system treated here.


Graphical abstract
Keywords
Calcination; Reactive bulk; Model reduction; Discrete element method; Galerkin projection