Filtration characteristics of a binary multi-layer granular bed filter based on CFD-DEM coupling simulation--颗粒学报PARTICUOLOGY

Ding, H., Ma, Q., Tong, L., Yin, S., Wang, L., & Ding, Y. (2023). Filtration characteristics of a binary multi-layer granular bed filter based on CFD-DEM coupling simulation. Particuology, 78, 73-85. https://doi.org/10.1016/j.partic.2022.10.005

Filtration characteristics of a binary multi-layer granular bed filter based on CFD-DEM coupling simulation

Hongsheng Ding ^a *, Qianwei Ma ^a, Lige Tong ^{b c}, Shaowu Yin ^{b c}, Li Wang ^{b c}, Yulong Ding ^d

a School of Mathematics and Physics, University of Science and Technology Beijing, Beijing, 100083, China
b School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
c Beijing Engineering Research Center for Energy Saving and Environmental Protection, University of Science and Technology Beijing, Beijing, 100083, China
d Birmingham Centre for Energy Storage, University of Birmingham, Birmingham B15 2TT, UK

10.1016/j.partic.2022.10.005

Volume 78, July 2023, Pages 73-85

Received 16 May 2022, Revised 8 October 2022, Accepted 16 October 2022, Available online 8 November 2022, Version of Record 2 January 2023.

E-mail: dingdinghs@sas.ustb.edu.cn

Highlights

Abstract

The coupled CFD-DEM method with the JKR (Johnson-Kendall-Roberts) model for describing the contact adhesion of dust to filter particles (FPs) is used to simulate the distribution pattern of dust particle deposition in the granular bed filter (GBF) with multi-layer media. The minimum inlet flow velocity must meet the requirement that the contact probability between dust and FPs is in the high contact probability region. The air flow forms vortices on the leeward side of the FPs and changes abruptly at the intersection of different particle size FPs layers. Dust particles form large deposits at the intersection of the first and second layers and the different particle size filter layers. Dual element multilayer GBF can further optimize the bed structure by interlacing filter layers with different particle sizes. Compared with single particle size multi-layer GBF, the bed pressure drop is reduced by 40.24%–50.65% and the dust removal efficiency is increased by 21.93%–55.09%.

Graphical abstract

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