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Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received June 18, 2020
Accepted October 28, 2020

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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A two-way coupled CFD-DQMOM approach for long-term dynamic simulation of a fluidized bed reactor

Minjun Kim Kyoungmin Lee Youngseok Bak Jong Min Lee^†

School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, Gwanak-ro 1, Gwanak-gu, Seoul 08826, Korea

jongmin@snu.ac.kr

Korean Journal of Chemical Engineering, February 2021, 38(2), 342-353(12), 10.1007/s11814-020-0701-4

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Abstract

For the long-term dynamic simulation of a fluidized bed reactor (FBR), a two-way coupled computational fluid dynamics (CFD)-direct quadrature method of moments (DQMOM) approach is proposed. In this approach, CFD is first used only for hydrodynamic information without simulating any other chemical reactions or physical phenomena. Subsequently, the derived information is applied to the DQMOM calculation in MATLAB. From the calculation, a particle size distribution is obtained and subsequently adopted in a new CFD model to reflect the flow change caused by a change in the particle size distribution. Through several iterative calculations, long-term dynamic simulations are performed. To evaluate the efficacy of the proposed approach, the results from the suggested approach are compared for 60 s with those of the CFD-quadrature method of moments (QMOM) approach, which calculates hydrodynamics and physical phenomena simultaneously in CFD. The proposed approach successfully simulated the FBR for 6 h. The results confirmed that the proposed method can simulate complex flow patterns, which cannot be obtained in conventional CFD models. Another advantage of the approach is that it can be applied to various industrial multiphase reactors without any tuning parameters.

Keywords

Fluidized Bed Reactor CFD Compartmental Model Population Balance Model Long-term Dynamic Simulation

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