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Power Input Measurements in Stirred Bioreactors at Laboratory Scale
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Published on: May 16, 2018

Specific energy dissipation rate for fluidized-bed bioreactors.

J S Huang1, C S Wu

  • 1Department of Environmental Engineering, National Cheng Kung University, Tainan, Taiwan.

Biotechnology and Bioengineering
|June 20, 1996
PubMed
Summary

A new parameter, specific energy dissipation rate (omega), predicts biofilm thickness (delta) in bioreactors. Lower omega values promote thicker biofilms, aiding process optimization.

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08:13

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Published on: December 25, 2015

Area of Science:

  • Biotechnology
  • Environmental Engineering
  • Fluid Dynamics

Background:

  • Fluidized-bed bioreactors are crucial for wastewater treatment and bioprocessing.
  • Biofilm development significantly impacts bioreactor performance and efficiency.
  • Controlling biofilm thickness is essential for optimal reactor operation.

Purpose of the Study:

  • To introduce and define a novel hydrodynamic parameter, the specific energy dissipation rate (omega).
  • To investigate the relationship between omega and biofilm thickness (delta) in fluidized-bed bioreactors.
  • To establish a predictive model for optimizing bioreactor operating schemes based on omega.

Main Methods:

  • Development of a theoretical model defining omega as energy dissipation at the biofilm surface per unit bioreactor volume per unit time.
  • Simulation of omega variations with operating flow rate and bed expansion.
  • Experimental validation of the inverse relationship between omega and biofilm thickness (delta) in different bioreactor zones.

Main Results:

  • The specific energy dissipation rate (omega) was found to vary with flow rate and bed expansion.
  • A clear inverse proportionality was observed between biofilm thickness (delta) and omega.
  • Experimental data confirmed that lower omega values correlate with thicker biofilms, particularly in the upper bioreactor sections.

Conclusions:

  • The proposed specific energy dissipation rate (omega) is a valuable parameter for understanding and controlling biofilm dynamics.
  • The inverse relationship between omega and biofilm thickness (delta) allows for the prediction and optimization of bioreactor performance.
  • The model provides a basis for predetermining optimal operating conditions at various stages of bioreactor start-up and operation.