Dynamic multidimensional modelling of submerged membrane bioreactor fouling

Boyle-Gotla, A., Jensen, P. D., Yap, S. D., Pidou, M., Wang, Y. and Batstone, D. J. (2014) Dynamic multidimensional modelling of submerged membrane bioreactor fouling. Journal of Membrane Science, 467 153-161. doi:10.1016/j.memsci.2014.05.028

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Author Boyle-Gotla, A.
Jensen, P. D.
Yap, S. D.
Pidou, M.
Wang, Y.
Batstone, D. J.
Title Dynamic multidimensional modelling of submerged membrane bioreactor fouling
Journal name Journal of Membrane Science   Check publisher's open access policy
ISSN 1873-3123
0376-7388
Publication date 2014-10-01
Sub-type Article (original research)
DOI 10.1016/j.memsci.2014.05.028
Volume 467
Start page 153
End page 161
Total pages 9
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Abstract Existing membrane fouling models are limited to simple hydraulic profiles which is a limitation particularly for planar membranes. Here, we present a new model that allows for a distributed shear profile, with dynamic linking of flux and transmembrane pressure (TMP). Shear profile is calculated using a multi-phase computational fluid dynamic approach, and is applied to a distributed parameter model to simulate membrane fouling profile and flux distribution. This allows for simulation of complex flux-step experiments, or situations where non-uniform shear is present. The model was applied to filtration experiments conducted in a pilot-scale anaerobic membrane bioreactor treating slaughterhouse wastewater comprising 1950±250. mg/L total solids and was able to effectively fit experiments under dynamic critical flux conditions. Cake compressibility was a key parameter, and was estimated at 870±80. Pa. Non-uniform gas distribution decreased critical flux from 12. LMH to 8.5. LMH. This emphasises the importance of local flow conditions on membrane fouling behaviour and that performance can depend heavily on reactor configuration and hydraulics.
Keyword Anaerobic membrane bioreactor
CFD
Fouling
Model
Multiphase
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
Advanced Water Management Centre Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
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