Multi-scale numerical simulation of fluidized beds: Model applicability assessment

被引:37
作者
Wang, Shuai [1 ]
Hu, Chenshu [1 ]
Luo, Kun [1 ,2 ]
Yu, Jiahui [1 ]
Fan, Jianren [1 ,2 ]
机构
[1] Zhejiang Univ, State Key Lab Clean Energy Utilizat, Hangzhou 310027, Peoples R China
[2] Zhejiang Univ, Shanghai Inst Adv Study, Shanghai 200120, Peoples R China
来源
PARTICUOLOGY | 2023年 / 80卷
基金
中国国家自然科学基金;
关键词
Fluidized bed; Dense gas-solid flows; Multi-scale numerical methods; Drag model; Inter-particle collisions; GAS-SOLID FLOW; STRUCTURE-DEPENDENT DRAG; CFD-DEM SIMULATIONS; DISCRETE PARTICLE SIMULATION; IMMERSED BOUNDARY METHOD; GROUP-A PARTICLES; LATTICE-BOLTZMANN SIMULATION; COLLISIONAL GRANULAR FLOWS; THEORY-BASED PREDICTIONS; GROUP-B PARTICLES;
D O I
10.1016/j.partic.2022.11.011
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In the past few decades, multi-scale numerical methods have been developed to model dense gas-solid flow in fluidized beds with different resolutions, accuracies, and efficiencies. However, ambiguity needs to be clarified in the multi-scale numerical simulation of fluidized beds: (i) the selection of the sub -models, parameters, and numerical resolution; (ii) the multivariate coupling of operating conditions, bed configurations, polydispersity, and additional forces. Accordingly, a state-of-the-art review is per-formed to assess the applicability of multi-scale numerical methods in predicting dense gas-solid flow in fluidized beds at specific fluidization regimes (e.g., bubbling fluidization region, fast fluidization regime), with a focus on the inter-particle collision models, inter-phase interaction models, collision parameters, and polydispersity effect. A mutual restriction exists between resolution and efficiency. Higher -resolution methods need more computational resources and thus are suitable for smaller-scale simu-lations to provide a database for closure development. Lower-resolution methods require fewer computational resources and thus underpin large-scale simulations to explore macro-scale phenomena. Model validations need to be further conducted under multiple flow conditions and comprehensive metrics (e.g., velocity profiles at different heights, bubbles, or cluster characteristics) for further improvement of the applicability of each numerical method.(c) 2022 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:11 / 41
页数:31
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