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Bioreactor Controls-II01:18

Bioreactor Controls-II

In aerobic fermentations, oxygen is vital for microbial growth and metabolite production. Since air comprises only about 20% oxygen and the gas is poorly soluble in water—just 9 ppm at 20°C—supplying sufficient oxygen becomes a critical challenge, especially in high-demand processes like yeast growth or citric acid production. Even a fully saturated broth may offer only a few seconds of oxygen availability.To address this, sterile or scrubbed air is introduced into the fermentor via a sparger...
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Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
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Intelligent sequencing batch reactor control from theory, through modelling, to full-scale application.

Andrew Shaw1, John Watts, Andrew W Fairey

  • 1Black & Veatch, Perth, WA, Australia. shawar@bv.com

Water Science and Technology : a Journal of the International Association on Water Pollution Research
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Advanced control strategies enhance sequencing batch reactors (SBRs) for wastewater treatment. Implementing these techniques maximizes treatment capacity and operational flexibility beyond traditional fixed-time operations.

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Area of Science:

  • Environmental Engineering
  • Chemical Engineering
  • Water Treatment Technologies

Background:

  • Sequencing batch reactors (SBRs) offer high treatment efficiency and operational flexibility.
  • Conventional SBR operation often relies on simple, fixed-time phases, limiting potential.
  • Advanced control can unlock the full treatment potential and capacity of SBRs.

Purpose of the Study:

  • To explore online measurements and advanced control approaches for SBR optimization.
  • To demonstrate the application of these techniques in a real-world wastewater treatment facility.
  • To enable SBRs to achieve maximum treatment capacity and performance.

Main Methods:

  • Process modeling to evaluate control options.
  • Field testing of selected advanced control strategies.
  • Implementation of a validated control approach in a wastewater treatment plant.

Main Results:

  • Process modeling identified promising control strategies.
  • Field testing validated the effectiveness of two advanced control approaches.
  • Successful implementation of one control strategy led to maximized plant capacity.

Conclusions:

  • Advanced control significantly enhances SBR performance.
  • Online measurements and adaptive control are key to maximizing SBR capacity.
  • The demonstrated approach offers a pathway to optimize wastewater treatment operations.