A CFD model for predicting the heat transfer in the industrial scale packed bed

作     者：Baolin Hou Renming Ye Yanqiang Huang Xiaodong Wang Tao Zhang 

作者机构：State Key Laboratory of Catalysis Dalian Institute of Chemical PhysicsChinese Academy of Sciences 

出 版 物：《Chinese Journal of Chemical Engineering》 (中国化学工程学报（英文版）)

年 卷 期：2018年第26卷第2期

页      面：228-237页

核心收录：

学科分类：080706[工学-化工过程机械] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：Supported by National Natural Science Foundation of China(21676266,21676269) the "Strategic Priority Research Program" of the Chinese Academy of Sciences(XDB17020100) the National Key Projects for Fundamental Research and Development of China(2016YFA0202801) 

主　　题：JHeat transferPacked bedComputational fluid dynamics (CFD) 

摘      要：Compared to the traditional lumped-parameter model, computational fluid dynamics （CFD） attracted more attentions due to facilitating more accurate reactor design and optimization methods when analyzing the heat transfer in the industrial packed bed. Here, a model was developed based on the CFD theory, in which the heterogeneous fluid flow was resolved by considering the oscillatory behavior of voidage and the effective fluid viscosity. The energy transports in packed bed were calculated by the convection and diffusion incorporated with gaseous dispersion in fluid and the contacting thermal conductivity of packed particles in solids. The heat transfer coefficient between fluid and wall was evaluated by considering the turbulence due to the packed particles adjacent to the wall. Thus, the heat transfer in padded bed can be predicted without using any adjustable semi-empirical effective thermal conductivity coefficient. The experimental results from the literature were employed to validate this model.