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Operation of a Benchtop Bioreactor
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Operational performance and biofoulants in a dynamic membrane bioreactor.

Rajendra Prasad Singh1, Dafang Fu1, Jinhui Yang1

  • 1School of Civil Engineering, Southeast University (SEU), Nanjing 210096, China; SEU-Monash University Joint Research Centre for Future Cities, Nanjing 210096, China.

Bioresource Technology
|March 12, 2019
PubMed
Summary
This summary is machine-generated.

A new mathematical model enhances understanding of bioreactor processes, including soluble microbial products (SMP) and extracellular polymeric substances (EPS). This model accurately predicts bioreactor performance for improved wastewater treatment.

Keywords:
ASM1BiofoulantsDMBRSoluble microbial productsWastewater treatment

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Area of Science:

  • Environmental Engineering
  • Biotechnology
  • Wastewater Treatment

Background:

  • Wastewater treatment relies on complex bioprocesses.
  • Accurate modeling is crucial for optimizing reactor performance.
  • Existing models may not fully capture SMP and EPS dynamics.

Purpose of the Study:

  • To develop a mathematical model for enhanced bioreactor process understanding.
  • To integrate the formation and degradation of soluble microbial products (SMP) and extracellular polymeric substances (EPS) into the Activated Sludge Model NO.1 (ASM1) framework.
  • To enable prediction of process performance in future reactor scale models.

Main Methods:

  • Utilized the Activated Sludge Model NO.1 (ASM1) framework.
  • Incorporated bioprocesses for SMP and EPS formation and degradation.
  • Developed and simulated a novel mathematical model.

Main Results:

  • The developed model demonstrated a strong ability to predict bioreactor performance.
  • Achieved high removal efficiencies for Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), and Ammonia Nitrogen (NH3-N).
  • Reported average errors of 0.48% for COD, 0.28% for BOD, and 1.18% for NH3-N removal efficiency.

Conclusions:

  • The novel mathematical model provides a better understanding of bioreactor processes.
  • The model's accuracy in predicting performance makes it suitable for future reactor scale applications.
  • The integration of SMP and EPS dynamics improves wastewater treatment process modeling.