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Multi-parameter based coagulant dosing control.

L Manamperuma1, L Wei1, H Ratnaweera1

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Summary
This summary is machine-generated.

This study introduces an advanced coagulant dosing system using online sensors and partial least square regression. The system achieved significant coagulant savings up to 30% in wastewater treatment plants, reducing sludge production and costs.

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Area of Science:

  • Environmental Engineering
  • Water Treatment Technologies
  • Process Control

Background:

  • Coagulant dosage is critical for water and wastewater treatment efficiency.
  • Online sensors for water quality are available but underutilized in process control.
  • Existing dosing systems often lack real-time adaptability to raw water quality variations.

Purpose of the Study:

  • To evaluate an advanced coagulant dosing control system utilizing online measurements.
  • To demonstrate the effectiveness of partial least square regression in optimizing coagulant dosage.
  • To assess the economic and environmental benefits of the implemented system in full-scale wastewater treatment plants.

Main Methods:

  • Implementation of an advanced coagulant dosing control system in two Norwegian wastewater treatment plants (WWTPs).
  • Utilizing online water quality sensors for real-time data acquisition.
  • Application of partial least square (PLS) regression for multivariate analysis to correlate water quality with optimal coagulant dose.
  • Employing feed-forward calibration strategies for dynamic dose adjustment.

Main Results:

  • Achieved coagulant savings of up to 30% in the tested Norwegian WWTPs.
  • Demonstrated a strong correlation between wastewater quality parameters and required coagulant dosage.
  • Reduced sludge production as a direct consequence of optimized coagulant usage.
  • Validated the system's functionality and benefits in diverse full-scale operational settings.

Conclusions:

  • The advanced coagulant dosing system effectively optimizes chemical usage based on real-time water quality.
  • Significant cost savings and environmental benefits, including reduced sludge, are achievable through this technology.
  • The integration of online sensors and multivariate analysis represents a promising advancement in wastewater treatment process control.