中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Numerical optimization of membrane module design and operation for a full-scale submerged MBR by computational fluid dynamics

文献类型:期刊论文

作者Liu, Mengmeng; Yang, Min; Chen, Meixue; Yu, Dawei; Zheng, Jiaxi; Chang, Jiang; Wang, Xiaoshuang; Ji, Chunmiao; Wei, Yuansong
刊名BIORESOURCE TECHNOLOGY
出版日期2018-01-12
卷号269页码:300-308
关键词MBR CFD simulation RTD Aeration Shear stress
ISSN号0960-8524
文献子类Article
英文摘要The hydrodynamics in the membrane module of a full-scale sMBR at 500m(3)/d was simulated by computational fluid dynamics (CFD) in this study. Several key indexes, including membrane distance (d), aeration design, height of gas-liquid dispersion h(m), and freeboard height h(f) and operational conditions, including SAD(p) and liquid viscosity, were optimized through investigating their impacts on water velocity distribution and membrane shear stress. The CFD model was validated by comparing the simulated trace element RTD curves with experimental results. The optimal design and operational parameters for the full scale sMBR are as following: membrane distance d = 35 mm, air diffusers parallel located 75-100mm under the bottom of the membrane module, the free board height hf adjusted to 400 mm, and the SAD(p) recommended as 20 in the full-scale MBR studied.
源URL[http://ir.rcees.ac.cn/handle/311016/40823]  
专题生态环境研究中心_大气污染控制中心
推荐引用方式
GB/T 7714
Liu, Mengmeng,Yang, Min,Chen, Meixue,et al. Numerical optimization of membrane module design and operation for a full-scale submerged MBR by computational fluid dynamics[J]. BIORESOURCE TECHNOLOGY,2018,269:300-308.
APA Liu, Mengmeng.,Yang, Min.,Chen, Meixue.,Yu, Dawei.,Zheng, Jiaxi.,...&Wei, Yuansong.(2018).Numerical optimization of membrane module design and operation for a full-scale submerged MBR by computational fluid dynamics.BIORESOURCE TECHNOLOGY,269,300-308.
MLA Liu, Mengmeng,et al."Numerical optimization of membrane module design and operation for a full-scale submerged MBR by computational fluid dynamics".BIORESOURCE TECHNOLOGY 269(2018):300-308.

入库方式: OAI收割

来源:生态环境研究中心

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