Membrane bioreactors

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

34 Citations (Scopus)

Abstract

Membrane bioreactors (MBRs) combine a membrane system with a biological reaction offering a unique opportunity to restrict the physical space of a biocatalyst, which can be an enzyme, a microorganism or a plant/animal cell. Due to this broad range of biological reactions, the modeling of such MBR systems can be rather different, depending on the biological process taking place. Therefore, this chapter discusses how the different characteristics and complexities of internal MBR processes affect the choice between mechanistic and multivariate statistical models. In many situations, relatively simple mechanistic models can be used, such as in enzymatic bioreactors. However, in complex systems, such as in MBRs for wastewater treatment, particularly when process monitoring and control is envisage, the multivariate statistical modeling approach may become more useful. Considering the bright future of MBRs, modeling requirements will be challenging and will require open-minded approaches.

Original languageEnglish
Title of host publicationFundamental Modeling of Membrane Systems: Membrane and Process Performance
PublisherElsevier
Chapter6
Pages209-249
Number of pages41
ISBN (Electronic)9780128134849
ISBN (Print)9780128134832
DOIs
Publication statusPublished - 3 Jul 2018

Keywords

  • Activated sludge models (ASM)
  • Artificial neural networks (ANN)
  • Enzymatic membrane bioreactors
  • MBR monitoring
  • Mechanistic modeling
  • Membrane bioreactors (MBRs)
  • Multivariate statistical analysis
  • Principal components analysis (PCA)
  • Projection to latent structures (PLS)

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