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Membranfiltration von Prozessabwasser – in situ real-time Monitoring von organischem Membranfouling

Rudolph, Gregor LU orcid ; Virtanen, Tiina ; Lipnizki, Frank LU orcid and Kallioinen, Mari (2019) 13. p.109-116
Abstract
Process wastewater from separation and purification processes in the food and biotech industries as well as in biorefineries often contain components that can be recovered as valuable by-products in the context of closed-loop recycling with membrane processes. These effluents have a high proportion of organic components and are particularly complex, which is why they have a high fouling potential and organic membrane fouling occurs more frequently. Membrane fouling is a constant challenge for the application of membrane processes. It often results in a drastic reduction of the membrane filtration capacity and a change of the membrane retention. In addition, membrane life is often reduced by increased membrane cleaning, resulting in... (More)
Process wastewater from separation and purification processes in the food and biotech industries as well as in biorefineries often contain components that can be recovered as valuable by-products in the context of closed-loop recycling with membrane processes. These effluents have a high proportion of organic components and are particularly complex, which is why they have a high fouling potential and organic membrane fouling occurs more frequently. Membrane fouling is a constant challenge for the application of membrane processes. It often results in a drastic reduction of the membrane filtration capacity and a change of the membrane retention. In addition, membrane life is often reduced by increased membrane cleaning, resulting in increased process costs.

The development of effective strategies to minimize membrane fouling is therefore highly desirable. One possibility is process monitoring with conventional fouling monitoring methods, e.g. membrane flow and transmembrane pressure. These conventional methods often only register membrane fouling when it is already advanced and therefore no longer reversible.

In contrast, in-situ real-time monitoring methods can provide early warning and additional information on the extent, quality or distribution of the fouling on the membrane surface. These methods are needed to achieve one of the major goals in the development of membrane processes - elimination/minimization of fouling to achieve stable membrane flow and retention.

Despite these obvious advantages, the use of real-time monitoring methods is not widespread even in the fouling-prone industries - food and biotech industries and biorefineries. In this presentation different insitu real-time monitoring methods and their theoretical basics are presented. The respective advantages and disadvantages are discussed with a focus on methods that could be used in connection with membrane processes in fouling susceptible industries. (Less)
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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Proteines, Polysaccharides, Online Monitoring, Pressure-driven membrane processes
host publication
13. Aachener Tagung Wassertechnologie : Verfahren der Wasseraufbereitung und Abwasserbehandlung - Verfahren der Wasseraufbereitung und Abwasserbehandlung
volume
13
article number
S3.2
pages
7 pages
ISBN
978-3-95886-305-7
language
German
LU publication?
yes
id
ddbba149-0593-4bf5-b998-ddaf0a04200d
date added to LUP
2019-11-04 14:43:36
date last changed
2023-12-13 03:05:10
@inproceedings{ddbba149-0593-4bf5-b998-ddaf0a04200d,
  abstract     = {{Process wastewater from separation and purification processes in the food and biotech industries as well as in biorefineries often contain components that can be recovered as valuable by-products in the context of closed-loop recycling with membrane processes. These effluents have a high proportion of organic components and are particularly complex, which is why they have a high fouling potential and organic membrane fouling occurs more frequently. Membrane fouling is a constant challenge for the application of membrane processes. It often results in a drastic reduction of the membrane filtration capacity and a change of the membrane retention. In addition, membrane life is often reduced by increased membrane cleaning, resulting in increased process costs.<br/><br/>The development of effective strategies to minimize membrane fouling is therefore highly desirable. One possibility is process monitoring with conventional fouling monitoring methods, e.g. membrane flow and transmembrane pressure. These conventional methods often only register membrane fouling when it is already advanced and therefore no longer reversible.<br/><br/>In contrast, in-situ real-time monitoring methods can provide early warning and additional information on the extent, quality or distribution of the fouling on the membrane surface. These methods are needed to achieve one of the major goals in the development of membrane processes - elimination/minimization of fouling to achieve stable membrane flow and retention. <br/><br/>Despite these obvious advantages, the use of real-time monitoring methods is not widespread even in the fouling-prone industries - food and biotech industries and biorefineries. In this presentation different insitu real-time monitoring methods and their theoretical basics are presented. The respective advantages and disadvantages are discussed with a focus on methods that could be used in connection with membrane processes in fouling susceptible industries.}},
  author       = {{Rudolph, Gregor and Virtanen, Tiina and Lipnizki, Frank and Kallioinen, Mari}},
  booktitle    = {{13. Aachener Tagung Wassertechnologie : Verfahren der Wasseraufbereitung und Abwasserbehandlung}},
  isbn         = {{978-3-95886-305-7}},
  keywords     = {{Proteines; Polysaccharides; Online Monitoring; Pressure-driven membrane processes}},
  language     = {{ger}},
  pages        = {{109--116}},
  title        = {{Membranfiltration von Prozessabwasser – in situ real-time Monitoring von organischem Membranfouling}},
  volume       = {{13}},
  year         = {{2019}},
}