Multi-scale numerical simulation of fluidized beds: Model applicability assessment (Open Access)--颗粒学报PARTICUOLOGY

Wang, S., Hu, C., Luo, K., Yu, J., & Fan, J. (2023). Multi-scale numerical simulation of fluidized beds: Model applicability assessment. Particuology, 80, 11-41. https://doi.org/10.1016/j.partic.2022.11.011

Multi-scale numerical simulation of fluidized beds: Model applicability assessment (Open Access)

Shuai Wang ^a, Chenshu Hu ^a, Kun Luo ^{a b *}, Jiahui Yu ^a, Jianren Fan ^{a b}

a State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou, 310027, China
b Shanghai Institute for Advanced Study of Zhejiang University, Shanghai, 200120, China

10.1016/j.partic.2022.11.011

Volume 80, September 2023, Pages 11-41

Received 12 September 2022, Revised 22 November 2022, Accepted 23 November 2022, Available online 2 December 2022, Version of Record 1 March 2023.

E-mail: zjulk@zju.edu.cn

Highlights

• Applicability assessment of multi-scale modelling of fluidized beds was conducted.

• Model validations for different methods under distinct fluidization regimes were presented.

• Impacts of various sub-models and model parameters were compared.

• Accuracy and efficiency of the multi-scale numerical methods were discussed.

Abstract

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 performed 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 simulations 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.

Graphical abstract

Keywords

Fluidized bed; Dense gas-solid flows; Multi-scale numerical methods; Drag model; Inter-particle collisions

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