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Minimizing membrane bioreactor environmental footprint by multiple objective optimization.

Giorgio Mannina1, Bing-Jie Ni2, Taise Ferreira Rebouças3

  • 1Engineering Department, Palermo University, Viale delle Scienze, Ed.8, 90128 Palermo, Italy; School of Environmental and Municipal Engineering, Tianjin Chengjian University, 26 Jinjing Road, Xiqing District, Tianjin 300384, China.

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|January 31, 2020
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Summary
This summary is machine-generated.

This study optimized membrane bioreactor (MBR) operations to reduce environmental impact. Adjusting operational parameters, particularly sludge retention time, significantly cut costs and greenhouse gas emissions from wastewater treatment.

Keywords:
Greenhouse gasesMathematical modelling optimizationMembrane foulingMulti-objective analysisWastewater treatment plant

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Area of Science:

  • Environmental Engineering
  • Water Treatment Technologies
  • Bioreactor Systems

Background:

  • Membrane bioreactors (MBRs) are crucial for efficient wastewater treatment.
  • Optimizing MBR operations is key to minimizing environmental footprint and operational costs.
  • Biological nutrient removal (BNR) in MBRs presents challenges in managing emissions and expenses.

Purpose of the Study:

  • To develop and apply an integrated model for optimizing MBR performance.
  • To minimize operational costs and direct greenhouse gas emissions in a BNR-MBR pilot plant.
  • To identify key operational parameters influencing MBR performance indicators.

Main Methods:

  • Utilized an integrated MBR model for management optimization.
  • Employed Extended-FAST sensitivity analysis to assess operational parameter influence.
  • Applied Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for multi-objective analysis.

Main Results:

  • Sludge retention time identified as the most influential operational parameter.
  • Sensitivity analysis revealed significant impact of sludge retention time on performance indicators.
  • Multi-objective optimization led to substantial reductions in costs and emissions.

Conclusions:

  • Optimized operational parameters, especially sludge retention time, are effective in MBR management.
  • Significant cost savings (48%) and emission reductions (10%) achieved through optimized operations.
  • The integrated modelling approach provides a viable strategy for sustainable MBR wastewater treatment.