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Development of a Reduced-Order Model to Identify Ammonia-Based Aeration Control Proportional-Integral Tuning

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This study introduces a new tuning method for ammonia-based aeration control (ABAC) in wastewater treatment. Integrating Monod kinetics linearizes system response, improving dissolved oxygen control and efficiency.

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Area of Science:

  • Environmental Engineering
  • Process Control
  • Wastewater Treatment

Background:

  • Ammonia-based aeration control (ABAC) enhances water resource recovery facility (WRRF) efficiency.
  • Proportional-integral (PI) controller tuning is challenging due to dynamic loads and nonlinear kinetics.

Purpose of the Study:

  • To develop a systematic tuning approach for ABAC controllers.
  • To linearize system response by integrating Monod saturation kinetics into the feedback control structure.
  • To validate the proposed approach using simulations and full-scale implementation.

Main Methods:

  • Derived first-order plus deadtime (FOPDT) parameters from a reduced-order model based on empirical reactor hydraulics.
  • Integrated Monod saturation kinetics into the feedback control structure to linearize the system response.
  • Validated the approach via model-based simulation and full-scale plant implementation.

Main Results:

  • Model-based simulations showed linearized response with Monod kinetics integration (MAE 0.09 mg N/L).
  • Direct SO2 control exhibited nonlinear overshoot during high load periods.
  • Full-scale implementation achieved stable performance and attenuated dynamic loads (MAE 0.16 mg N/L).

Conclusions:

  • Combining reduced-order modeling with kinetic-based control structures offers a robust, automatable alternative to heuristic tuning.
  • The proposed method effectively linearizes system response and improves dissolved oxygen control in WRRFs.
  • This approach enhances the efficiency and stability of aeration control systems.