The Simulation and Experimental Validation on Gas-Solid Two Phase Flow in the Riser of a Dense Fluidized Bed

被引:9
|
作者
Wang, Xue-yao [1 ]
Jiang, Fan [1 ]
Xu, Xiang [1 ]
Wang, Sheng-dian [1 ]
Fan, Bao-guo [1 ]
Xiao, Yun-han [1 ]
机构
[1] Chinese Acad Sci, Key Lab Adv Energy & Power, Inst Engn Thermophys, Beijing 100190, Peoples R China
基金
中国国家自然科学基金;
关键词
riser; gas-solid flow; drag force; EMMS model;
D O I
10.1007/s11630-009-0137-y
中图分类号
O414.1 [热力学];
学科分类号
摘要
Gas-solid flow in dense CFB (circulating fluidized bed) riser under the operating condition, superficial gas 15.5 m/s and solid flux 140 kg/m2s using Geldart B particles (sand) was investigated by experiments and CFD (computational fluid dynamics) simulation. The overall and local flow characteristics are determined using the axial pressure profiles and solid concentration profiles. The cold experimental results indicate that the axial solid concentration distribution contains a dilute region towards the tip-middle zone and a dense region near the bottom and the top exit zones. The typical core-annulus structure and the back-mixing phenomenon near the wall of the riser can be observed. In addition, owing to the key role of the drag force of gas-solid phase, a revised drag force coefficient, based on the EMMS (energy-minimization multi-scale) model which can depict the heterogeneous character of gas-solid two phase flow, was proposed and Coupled into the CFD control equations. In order to find an appropriate drag force model for the simulation of dense CFB riser, not only the revised drag force model but some other kinds of drag force model were used in the CFD. The flow structure, solid concentration, clusters phenomenon, fluctuation of two phases and axial pressure drop were analyzed. By comparing the experiment with the simulation, the results predicted by the EMMS drag model showed a better agreement with the experimental axial average pressure drop and apparent solid volume fraction, which proves that the revised drag force based on the EMMS model is an appropriate model for the dense CFB simulation.
引用
收藏
页码:137 / 141
页数:5
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