Coarse-grid simulations of full-loop gas-solid flows using a hybrid drag model: Investigations on turbulence models

被引:28
作者
Li, Jun-Sen [1 ]
Zhu, Li-Tao [2 ]
Yan, Wei-Cheng [3 ]
Bin Rashid, Taha Abbas [2 ]
Xu, Qun-Jie [1 ]
Luo, Zheng-Hong [2 ]
机构
[1] Shanghai Univ Elect Power, Coll Environm & Chem Engn, 2588 Changyang Rd, Shanghai 200090, Peoples R China
[2] Shanghai Jiao Tong Univ, Frontiers Sci Ctr Transformat Mol, Sch Chem & Chem Engn, Dept Chem Engn,State Key Lab Met Matrix Composite, Shanghai 200240, Peoples R China
[3] Jiangsu Univ, Sch Chem & Chem Engn, Zhenjiang 212013, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Mesoscale gas-solid flows; Multiphase flow; Coarse-grid CFD simulations; Full-loop CFB riser; Turbulence models; Hybrid drag model; COMPUTATIONAL FLUID-DYNAMICS; AVERAGED 2-FLUID MODEL; NUMERICAL-SIMULATION; CFD SIMULATION; BUBBLE-COLUMN; RESOLVED SIMULATIONS; FILTERED MODEL; SUBGRID DRAG; BED REACTOR; CO2; CAPTURE;
D O I
10.1016/j.powtec.2020.10.052
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The effect of fluid turbulence models on the coarse-grid simulation for the mesoscale gas-solid flow system is not as clear as that for gas-liquid/single flows. In this study, the effect of different turbulence models on predictions of riser-only, turbulent and bubbling flow hydrodynamics is quantified. Then the selected turbulence models are examined by coarse-grid simulations in a full-loop circulating fluidized bed (CFB) with a proposed hybrid drag model which integrates two SGMs and Hulin-Gidaspow model. Results show that the standard k-epsilon and k-omega models fail to capture a correct fluidization pattern in riser. Meanwhile, the RNG and realizable k-epsilon models and SST k-omega model enable satisfactory predictions which are highly comparable to discrete model predictions and experiments over different flow regimes. However, the realizable k-epsilon model produces more pronounced flow fluctuations causing computational instability. Using superior turbulence closures, full-loop simulations with the proposed hybrid model can predict desirable hydrodynamics. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页码:108 / 126
页数:19
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