Multi-parameter based coagulant dosing control

The required coagulant dosage is strongly related to the quality of raw water or wastewater. Online sensors for most quality parameters are now readily available to treatment facilities, yet remain rarely used in treatment process control. This paper presents the evaluation of an advanced coagulant...

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Bibliographic Details
Published in:Water science and technology 2017-05, Vol.75 (9-10), p.2157-2162
Main Authors: Manamperuma, L, Wei, L, Ratnaweera, H
Format: Article
Language:English
Subjects:
Automation
Calibration
Capital costs
Chemical Precipitation
Coagulants
Control
Control systems
Cost control
Cost engineering
Disinfection & disinfectants
Dosage
Drinking water
Effluents
Evaluation
Internet
Least squares method
Neural networks
Norway
On-line systems
Phosphates
Process control
Process controls
Raw water
Regression analysis
Retention
Sensors
Sewage - chemistry
Sludge
Sludge treatment
Software
Waste Disposal Facilities
Waste Disposal, Fluid - methods
Waste Water - chemistry
Wastewater
Wastewater treatment
Wastewater treatment plants
Water quality
Water treatment plants
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Summary:The required coagulant dosage is strongly related to the quality of raw water or wastewater. Online sensors for most quality parameters are now readily available to treatment facilities, yet remain rarely used in treatment process control. This paper presents the evaluation of an advanced coagulant dosing control system based on online measurements in full-scale processes. The popular multivariate analytical method, partial least square regression, was used to build up the relationship between the coagulant dose and wastewater quality. The system was tested in two wastewater treatment plants (WWTPs) in Norway. Coagulant savings up to 30% in Norwegian plants were observed with feed forward calibrations. The considerable savings reduce sludge production, leading to further cost saving on sludge treatment. This paper presents the method, function and experiences of the full-scale implementation of the system in different WWTPs.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2017.058