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PMID: 20347471 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Mixing characterisation of full-scale membrane bioreactors: CFD modelling with experimental validation.

Water research ·Vol. 44 ·No. 10 ·2010-05-00 ·页码 3181-91

Brannock M, Wang Y, Leslie G

Abstract

Membrane Bioreactors (MBRs) have been successfully used in aerobic biological wastewater treatment to solve the perennial problem of effective solids-liquid separation. The optimisation of MBRs requires knowledge of the membrane fouling, biokinetics and mixing. However, research has mainly concentrated on the fouling and biokinetics (Ng and Kim, 2007). Current methods of design for a desired flow regime within MBRs are largely based on assumptions (e.g. complete mixing of tanks) and empirical techniques (e.g. specific mixing energy). However, it is difficult to predict how sludge rheology and vessel design in full-scale installations affects hydrodynamics, hence overall performance. Computational Fluid Dynamics (CFD) provides a method for prediction of how vessel features and mixing energy usage affect the hydrodynamics. In this study, a CFD model was developed which accounts for aeration, sludge rheology and geometry (i.e. bioreactor and membrane module). This MBR CFD model was then applied to two full-scale MBRs and was successfully validated against experimental results. The effect of sludge settling and rheology was found to have a minimal impact on the bulk mixing (i.e. the residence time distribution).

MeSH 主题词
Bioreactors Membranes, Artificial Models, Theoretical Thermodynamics Waste Disposal, Fluid/methods Water Purification/methods
化学物质
Membranes, Artificial
作者与单位
共 3 位作者,点击展开单位 / ORCID
Brannock M
School of Chemical Engineering, University of New South Wales, Sydney, NSW 2052, Australia. [email protected] <[email protected]>
Wang Y
Leslie G
Article Info
Journal
Water research
Abbr.
Water Res
ISSN
1879-2448
Corresponding email
Published
2010-05-00
电子出版
2010-00-23
页码
3181-91
Language
English
Country/Region
England
NLM ID
0105072
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