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Dynamic reoptimization of a fed-batch fermentor.

M S Iyer1, T F Wiesner, R R Rhinehart

  • 1Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409-3121, USA.

Biotechnology and Bioengineering
|April 1, 1999
PubMed
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This study introduces a simple phenomenological model and a novel optimizer for effective on-line control and re-optimization of aerobic fed-batch fermentors, enhancing process efficiency.

Area of Science:

  • Biochemical Engineering
  • Process Control
  • Fermentation Technology

Background:

  • Traditional fed-batch biochemical process optimization relies on complex models and offline methods.
  • Existing approaches lack real-time model adaptation and re-optimization capabilities.
  • This limits efficiency and economic potential in fermentation processes.

Purpose of the Study:

  • To demonstrate a simple phenomenological model for aerobic fed-batch fermentor modeling.
  • To introduce a novel optimizer for on-line re-optimization and control.
  • To evaluate the applicability, effectiveness, and economic potential of this integrated approach.

Main Methods:

  • Development of a simple phenomenological model for fed-batch fermentation.
  • Implementation of a novel optimizer for real-time process adjustments.

Related Experiment Videos

  • Application to an aerobic fed-batch fermentor system.

    • Main Results:

    • The phenomenological model accurately represents the fermentation process.
    • The on-line optimizer effectively adapts and re-optimizes process parameters in real-time.
    • Significant improvements in process control and efficiency were observed.

    Conclusions:

    • A simple phenomenological model combined with an on-line optimizer offers a powerful solution for fed-batch fermentor control.
    • This approach enhances process effectiveness and demonstrates considerable economic potential.
    • It overcomes limitations of traditional offline optimization methods.