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Optimization of full-scale membrane bioreactors for wastewater treatment through a model-based approach

Despite the high number of advantages of membrane bioreactors (MBR), operational costs still remain as one of the main obstacles of this technology. In that sense, a full-scale MBR was studied in order to explore and identify viable optimization strategies for improving effluent quality and reducing operational costs through a model-based approach. Opportunities for optimization strategies, identified through the initial experimental phase, were focused on improving the nitrogen removal efficiencies and reducing the aeration energy costs through the aerobic DO set point and recirculation modifications. A mechanistic model was developed to reproduce the operation of the full-scale MBR and predict the effects of the optimization actions. Moreover, a qualitative risk model was also applied to ensure that the DO set point reduction did not negatively affect the microbiology of the activated sludge. The best viable control scenario was identified and then tested in the full-scale MBR. The results achieved maximum improvements on the nitrogen removal efficiencies of 27% and reduction on the aeration energy (7%) without affecting the sludge properties or the filtration performance. The model approached proved in this study and the optimization strategies identified can be generalized for municipal MBRs

This research was funded by the Catalan Water Agency (ACA), the Ministry of Science and Innovation (CTM2012-38314-C02-01 and PCIN-2013-074) and SANITAS Project (289193).

© Chemical Engineering Journal, 2015, vol. 267, p. 34-42

Elsevier

Author: Gabarrón Fernández, Sara
Dalmau Figueras, Montserrat
Porro, Jose
Rodríguez-Roda Layret, Ignasi
Comas Matas, Joaquim
Date: 2015 May 1
Abstract: Despite the high number of advantages of membrane bioreactors (MBR), operational costs still remain as one of the main obstacles of this technology. In that sense, a full-scale MBR was studied in order to explore and identify viable optimization strategies for improving effluent quality and reducing operational costs through a model-based approach. Opportunities for optimization strategies, identified through the initial experimental phase, were focused on improving the nitrogen removal efficiencies and reducing the aeration energy costs through the aerobic DO set point and recirculation modifications. A mechanistic model was developed to reproduce the operation of the full-scale MBR and predict the effects of the optimization actions. Moreover, a qualitative risk model was also applied to ensure that the DO set point reduction did not negatively affect the microbiology of the activated sludge. The best viable control scenario was identified and then tested in the full-scale MBR. The results achieved maximum improvements on the nitrogen removal efficiencies of 27% and reduction on the aeration energy (7%) without affecting the sludge properties or the filtration performance. The model approached proved in this study and the optimization strategies identified can be generalized for municipal MBRs
This research was funded by the Catalan Water Agency (ACA), the Ministry of Science and Innovation (CTM2012-38314-C02-01 and PCIN-2013-074) and SANITAS Project (289193).
Format: application/pdf
Citation: 023489
ISSN: 1385-8947
Document access: http://hdl.handle.net/10256/13273
Language: eng
Publisher: Elsevier
Collection: MINECO/PN 2012-2015/CTM2012-38314-C02-01
MINECO/PCIN-2013-074
Reproducció digital del document publicat a: http://dx.doi.org/10.1016/j.cej.2014.12.097
Articles publicats (D-EQATA)
info:eu-repo/grantAgreement/EC/FP7/289193
Is part of: © Chemical Engineering Journal, 2015, vol. 267, p. 34-42
Rights: Tots els drets reservats
Subject: Bioreactors
Reactors de membrana
Membrane reactors
Aigües residuals -- Depuració -- Tractament biològic
Sewage -- Purification -- Biological treatment
Title: Optimization of full-scale membrane bioreactors for wastewater treatment through a model-based approach
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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