Convective drying of wood chips: Accelerating coupled DEM-CFD simulations with parametrized reduced single particle models--颗粒学报PARTICUOLOGY

Reineking, L., Fischer, J., Mjalled, A., Illana, E., Wirtz, S., Scherer, V., & Mönnigmann, M. (2024). Convective drying of wood chips: Accelerating coupled DEM-CFD simulations with parametrized reduced single particle models. Particuology, 84, 158-167. https://doi.org/10.1016/j.partic.2023.03.012

Convective drying of wood chips: Accelerating coupled DEM-CFD simulations with parametrized reduced single particle models

Lucas Reineking^{a 1}, Jonas Fischer^{b 1}, Ali Mjalled ^a, Enric Illana ^b, Siegmar Wirtz ^b, Viktor Scherer ^b, Martin Mönnigmann ^a *

a Automatic Control and System Theory, Ruhr-Universität-Bochum, Universitätstraße 150, Bochum, 44801, Germany
b Energy Plant Technology, Ruhr-Universität-Bochum, Universitätstraße 150, Bochum, 44801, Germany

10.1016/j.partic.2023.03.012

Volume 84, January 2024, Pages 158-167

Received 23 December 2022, Revised 25 February 2023, Accepted 18 March 2023, Available online 3 April 2023, Version of Record 14 April 2023.

E-mail: martin.moennigmann@ruhr-uni-bochum.de

Highlights

• Industry-scale reactive bulks can be simulated with DEM-CFD to very high precision.

• Resolving inner-particle processes for many single particles can be prohibitively expensive.

• Reduced models for single particles accelerate bulk simulations by a factor of three.

• The required precision of the reduced particle models can be achieved with nonlinear interpolation.

Abstract

The simulation of industry-scale reactive bulks is challenging due to the complex interaction between fluid and particles. The particles in the bulk and their interaction with the fluid flow can be described by combined Discrete Element Method - Computational Fluid Dynamics (DEM-CFD) models. However, the computational cost of the Finite Volume (FV) methods deployed in these models can become prohibitively expensive, especially for high inner-particle resolution. Single particle Reduced Models (RMs) can be used to achieve both fast and accurate descriptions of the processes in each particle. As an example of bulk systems comprising heat and mass transfer, we compared FV and RM simulations for the drying of wood chips in a bulk reactor. A manifold-based nonlinear interpolation was applied to resolve changing boundary conditions for the RM. Our simulations showed that RMs provide accurate values for the thermodynamic state variables of the particles. Furthermore, the time required for the bulk simulation was reduced by 67% with the RMs. It is evident that simulations with high inner-particle resolution can be accelerated by RMs if manifold-based nonlinear interpolation is used to address changing boundary conditions.

Graphical abstract

Keywords

Reduced model; Reactive bulk; Discrete element method; Manifold-based interpolation; Drying of porous media; DEM-CFD

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