University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Model based optimization of the intermittent aeration profile for SBRs under partial nitrification.

Bournazou, MN, Hooshiar, K, Arellano-Garcia, H, Wozny, G and Lyberatos, G (2013) Model based optimization of the intermittent aeration profile for SBRs under partial nitrification. Water Research, 47 (10). pp. 3399-3410.

Text (licence)
Available under License : See the attached licence file.

Download (33kB) | Preview


In this paper, a fast and accurate optimization framework is proposed to compute optimal aeration policies in SBR processes under partial nitrification. The optimization framework aims to determine an optimal intermittent aeration profile which minimizes both the operation time of the SBR cycle and the energy required for aeration. Special consideration is given to the fact that the results not only need to be accurate but also to converge within a short time. Moreover, methods to avoid nitrate formation are analyzed and implemented. It is demonstrated that the implementation of a nonlinear model "5-state" and the reduction of the optimization problem to three control variables are the keystones to an efficient solution strategy which achieves fast, robust, and accurate computation of the optimal intermittent aeration profile for any given conditions of the process. The optimization approach is so efficient that it can also be implemented with more complex models such as the ASM3 extended for a two-step nitrification-denitrification process.

Item Type: Article
Subjects : Chemical Engineering
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
Bournazou, MN
Hooshiar, K
Arellano-Garcia, H
Wozny, G
Lyberatos, G
Date : 15 June 2013
DOI : 10.1016/j.watres.2013.03.044
Copyright Disclaimer : © 2013 Elsevier Ltd. All rights reserved.
Uncontrolled Keywords : Aerobiosis, Bioreactors, Models, Theoretical, Nitrification, Waste Disposal, Fluid, Waste Water, SBR, WWT, Partial nitrification, Process optimization
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 24 Aug 2016 14:11
Last Modified : 31 Oct 2017 18:31

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800