AI Article Synopsis

  • Membrane Bioreactors (MBRs) improve wastewater treatment by effectively separating solids and liquids, but optimizing them requires understanding fouling, biokinetics, and mixing.
  • Most current design methods rely on assumptions and empirical techniques, making it hard to predict how sludge behavior and bioreactor design affect overall performance.
  • A new Computational Fluid Dynamics (CFD) model was developed to analyze the impact of aeration and sludge properties in MBRs, which was validated with full-scale data, revealing that sludge settling had little effect on bulk mixing.

Article Abstract

Membrane Bioreactors (MBRs) have been successfully used in aerobic biological wastewater treatment to solve the perennial problem of effective solids-liquid separation. The optimisation of MBRs requires knowledge of the membrane fouling, biokinetics and mixing. However, research has mainly concentrated on the fouling and biokinetics (Ng and Kim, 2007). Current methods of design for a desired flow regime within MBRs are largely based on assumptions (e.g. complete mixing of tanks) and empirical techniques (e.g. specific mixing energy). However, it is difficult to predict how sludge rheology and vessel design in full-scale installations affects hydrodynamics, hence overall performance. Computational Fluid Dynamics (CFD) provides a method for prediction of how vessel features and mixing energy usage affect the hydrodynamics. In this study, a CFD model was developed which accounts for aeration, sludge rheology and geometry (i.e. bioreactor and membrane module). This MBR CFD model was then applied to two full-scale MBRs and was successfully validated against experimental results. The effect of sludge settling and rheology was found to have a minimal impact on the bulk mixing (i.e. the residence time distribution).

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Source
http://dx.doi.org/10.1016/j.watres.2010.02.029DOI Listing

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