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This study enhances coagulant dosing control in water treatment plants by integrating feedback into feed-forward models. This advanced control reduces chemical use and stabilizes treated water quality.

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Area of Science:

  • Environmental Engineering
  • Water Treatment Technologies
  • Process Control

Background:

  • Coagulant dosing in water treatment often relies on simple flow-proportional control.
  • Advanced multi-parameter systems improve quality and reduce consumption but are often feed-forward due to long retention times.
  • Feed-forward (FF) models are common in water treatment due to long separation stage retention times.

Purpose of the Study:

  • To improve multi-parameter-based coagulant dosing control systems.
  • To integrate feed-back (FB) concepts into existing FF models for enhanced performance.
  • To demonstrate the applicability of simplified FB models in systems with long separation stages.

Main Methods:

  • Development and implementation of a simplified feed-back (FB) control model.
  • Integration of FB control with existing feed-forward (FF) models.
  • Validation through full-scale case studies in a drinking water treatment plant and a wastewater treatment plant (WWTP).

Main Results:

  • The FB model significantly improved overall model quality, with dosage adjustments ranging from 66% to 197% compared to the FF model.
  • Outlet water quality became more stable.
  • Coagulant consumption was further reduced by 3.7%-15.5%.

Conclusions:

  • Integrating simplified FB control into advanced dosing systems enhances coagulant efficiency and water quality.
  • The proposed FB model is effective even in treatment plants with long separation stages.
  • This approach offers substantial improvements in operational efficiency and environmental impact for water and wastewater treatment plants.