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Related Experiment Video

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Analysis of Tubular Membrane Networks in Cardiac Myocytes from Atria and Ventricles
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Improving knowledge about permeability in membrane bioreactors through sensitivity analysis using artificial neural

Aline R Alkmim1, Gustavo M de Almeida2, Deborah M de Carvalho1

  • 1Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Belo Horizonte, Brazil.

Environmental Technology
|January 12, 2019
PubMed
Summary

Membrane bioreactors (MBR) are effective for industrial wastewater treatment, but fouling limits their use. This study found suspended solids and cleaning frequency significantly impact MBR permeability, guiding better operational strategies.

Keywords:
Membrane bioreactorartificial neural networkmembrane foulingpermeabilitysensitivity analysis

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Area of Science:

  • Environmental Engineering
  • Water Treatment Technologies
  • Chemical Engineering

Background:

  • Membrane bioreactors (MBR) offer high efficiency in industrial effluent treatment and enable water reuse.
  • Membrane fouling remains a significant challenge, hindering wider adoption and operational efficiency.
  • Understanding factors affecting membrane permeability is crucial for optimizing MBR performance.

Purpose of the Study:

  • To conduct a sensitivity analysis on an MBR treating oil refinery effluent.
  • To identify and rank the influence of analytical and operating variables on membrane permeability.
  • To investigate the impact of solids concentration on MBR operational dynamics and permeability.

Main Methods:

  • Development and validation of a predictive neural network model for membrane permeability.
  • Application of sensitivity analysis based on connection weights and variable disturbances.
  • Comparative analysis of variable significance at different suspended solids concentrations.

Main Results:

  • Suspended solids and days between cleanings were identified as the most influential variables affecting membrane permeability.
  • Sludge filterability and sludge temperature showed less significant effects on permeability.
  • At higher solids concentrations, Chemical Oxygen Demand (COD) exhibited low significance to permeability, indicating increased susceptibility to variations.

Conclusions:

  • Membrane permeability is highly sensitive to variations in suspended solids, especially at higher concentrations.
  • The study provides insights into distinct operational dynamics within MBRs based on solids concentration.
  • Findings contribute to developing more efficient MBR operations by understanding variable impacts on membrane fouling.