Literature DB >> 19448305

Model-based control of MF/UF filtration processes: pilot plant implementation and results.

J Busch1, W Marquardt.   

Abstract

Membrane micro- and ultrafiltration processes are widespread in water and wastewater treatment applications. Owing to the complex filtration mechanisms and the few available measurement information, they are typically operated using simple control approaches. However, two negative consequences are the sub-optimal performance and the relatively inflexible operation despite dynamic operating conditions. In previous publications, a model-based, adaptive run-to-run control approach for filtration processes has been introduced to improve process performance. It exploits the structure of cyclically operated filtration processes, where one cycle comprises a filtration and a backwashing phase. This contribution focuses on the experimental validation of the approach at a pilot-scale membrane bioreactor for municipal wastewater treatment. Necessary modifications to the approach and details on its implementation are discussed. The controller yields very good results with respect to prediction quality, optimization results, and stability. In addition to improved operational safety, savings of up to 50% are achieved with respect to energy consumption and membrane strain.

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Year:  2009        PMID: 19448305     DOI: 10.2166/wst.2009.648

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  2 in total

1.  Analysis of backwashing efficiency in dead-end hollow-fibre ultrafiltration of anaerobic suspensions.

Authors:  Luisa Vera; Enrique González; Ignacio Ruigómez; Jenniffer Gómez; Sebastián Delgado
Journal:  Environ Sci Pollut Res Int       Date:  2015-06-17       Impact factor: 4.223

2.  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

  2 in total

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