Literature DB >> 21112605

Validation of a supervisory control system for energy savings in membrane bioreactors.

Celine Huyskens1, Etienne Brauns, Erwin Van Hoof, Ludo Diels, Heleen De Wever.   

Abstract

The application of fixed operational protocols and settings for membrane bioreactors (MBR) often leads to suboptimal filtration conditions due to the dynamic nature of mixed liquor characteristics. With regard to process optimization and energy savings, the potential benefits of a dynamic control system, enabling to adapt fouling control actions (ACS outputs) in an automated way to the actual mixed liquor fouling propensity, are thus obvious. In this paper, the pilot-scale validation of such an advanced control system (ACS) is elaborated. A specific on-line fouling measurement method, the MBR-VFM (VITO Fouling Measurement), was used for the evaluation of the mixed liquor's reversible fouling propensity, which was used as a primary ACS input parameter. A first series of tests with a gradual increase in complexity of the selected input and output parameters indicated the functionality of the ACS and demonstrated a substantial reduction of aeration, however sometimes at the expense of a higher fouling rate. The ACS was further fine-tuned and subsequently tested for a longer period under more dynamic operating conditions. A significant correlation was found between the reversible fouling potential measured by the MBR-VFM and the on-line permeability, indicating that the MBR-VFM is a suitable ACS input. Furthermore, an average 22% reduction in aeration flow to the membranes could be achieved without any obvious negative effect on filtration performance. This indicates that this approach is promising to optimize energy consumption in MBRs. Copyright Â
© 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21112605     DOI: 10.1016/j.watres.2010.11.001

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  1 in total

1.  Visual tool for real-time monitoring of membrane fouling via Raman spectroscopy and process model based on principal component analysis.

Authors:  Tiina Virtanen; Satu-Pia Reinikainen; Jussi Lahti; Mika Mänttäri; Mari Kallioinen
Journal:  Sci Rep       Date:  2018-07-23       Impact factor: 4.379

  1 in total

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