Model-based advanced process control of coagulation-Reference-Cited by-同舟云学术

Model-based advanced process control of coagulation

Published:2002-02-01 Issue:4-5 Volume:45 Page:9-17
ISSN:0273-1223
Container-title:Water Science and Technology
language:en
Short-container-title:

Author:

Baxter C.W.¹,Shariff R.²,Stanley S.J.²,Smith D.W.³,Zhang Q.²,Saumer E.D.²

Affiliation:

1. Department of Civil Engineering, University of British Columbia, Vancouver, B.C., Canada, V6T 1Z4

2. EPCOR Water Services, Inc.,6th Floor, 10065 Jasper Avenue, Edmonton, Alberta, Canada, T5J 3B1

3. Department of Civil and Environmental Engineering, University of Alberta, Room 304 Environmental Engineering Building, Edmonton, Alberta, Canada, T6G 2M8

Abstract

The drinking water treatment industry has seen a recent increase in the use of artificial neural networks (ANNs) for process modelling and offline process control tools and applications. While conceptual frameworks for integrating the ANN technology into the real-time control of complex treatment processes have been proposed, actual working systems have yet to be developed. This paper presents development and application of an ANN model-based advanced process control system for the coagulation process at a pilot-scale water treatment facility in Edmonton, Alberta, Canada. The system was successfully used to maintain a user-defined set point for effluent quality, by automatically varying operating conditions in response to changes in influent water quality. This new technology has the potential to realize significant operational cost saving for utilities when applied in full-scale applications.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

Link

http://iwaponline.com/wst/article-pdf/45/4-5/9/425453/9.pdf

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