期刊
CHEMICAL ENGINEERING SCIENCE
卷 244, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2021.116809
关键词
Gas-solid flow; Polydisperse particles; Residence time distribution; Discrete simulation; Scale-up
资金
- National Natural Science Foundation of China [11988102, 21978295, 91834303]
- Innovation Academy for Green Manufacture, Chinese Academy of Sciences [IAGM-2019-A13]
- Key Research Program of Frontier Science, Chinese Academy of Sciences [QYZDJ-SSW-JSC029]
- Transformational Technologies for Clean Energy and Demonstration, Strategic Priority Research Program of the Chinese Academy of Sciences [XDA21030700]
- Fund of State Key Laboratory of Multiphase Complex Systems [MPCS-2019-A-07, MPCS-2019-D-10]
The study found that the pressure drop and particle residence time distribution in a laboratory scale fluidized bed can be reasonably predicted; the mean residence time of particles linearly scales with bed length under different solid feed rates; the mean residence time of particles can be inferred from CFD simulations and the mass fraction of particles at the inlet.
A GPU-based, massively parallel coarse-grained CFD-DEM method was adapted to study the scale-up effect of residence time distribution of polydisperse particles in continuously operated multiple chamber fluidized beds, where the bed is scaled up either by keeping a constant length of each chamber and increasing the number of chambers (Scaling method I) or by maintaining the number unchanged but increasing the length of each chamber (Scaling method II). It was shown that (i) the pressure drop and the residence time distribution of particles in a laboratory scale fluidized bed can be predicted reasonably well; (ii) when the solids feed rate is a constant (Operation I), the mean residence time of each type of particles scaled linearly as the bed length in both of Scaling methods I and II; (iii) when the solids feed rate is linearly increased with increasing bed length (Operation II), Scaling method I results in a continuously reduced ratio of mean residence time between coarse (medium) particles and fine particles, and the ratios level off with increasing bed length in Scaling method II; (iv) the mean residence time of particles can be inferred from the mean solids holdup obtained from CFD simulations and the mass fraction of particles at the inlet, thus offering a much faster way to estimate the mean residence time of particles; and (v) the equivalent number of perfect mixing tanks that corresponds to the mixing characteristics of real fluidized beds is linearly scaled as the bed length in Operation II, irrespective of Scaling methods. (c) 2021 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据