Cover Image

Advanced process control for ultrafiltration membrane water treatment system

Dead-end ultrafiltration (UF) has been considered as a more energy efficient operation mode compared to cross-flow filtration for the production of drinking/potable water in large-scale water treatment systems. Conventional control systems utilize pre-determined set-points for filtration and backwas...

Full description

Saved in:
Bibliographic Details
Main Authors: Chew, Chun Ming, Aroua, Mohamed Kheireddine, Hussain, Mohd Azlan
Format: Article
Published: Elsevier 2018
Subjects:
TP Chemical technology
Online Access:http://eprints.um.edu.my/22239/
https://doi.org/10.1016/j.jclepro.2018.01.075
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.22239
record_format eprints
spelling my.um.eprints.222392019-09-05T01:46:44Z http://eprints.um.edu.my/22239/ Advanced process control for ultrafiltration membrane water treatment system Chew, Chun Ming Aroua, Mohamed Kheireddine Hussain, Mohd Azlan TP Chemical technology Dead-end ultrafiltration (UF) has been considered as a more energy efficient operation mode compared to cross-flow filtration for the production of drinking/potable water in large-scale water treatment systems. Conventional control systems utilize pre-determined set-points for filtration and backwash durations of the constant flux dead-end UF process. Commonly known potential membrane fouling parameters such as feed water solids concentrations and specific cake resistance during filtration were not taken into considerations in the conventional control systems. In this research, artificial neural networks (ANN) predictive model and controllers were utilized for the process control of the UF process. An UF experimental system has been developed to conduct experiments and compare efficiencies of both the conventional set-points and ANN control systems. The novelty of this study is to utilize commonly available on-line and simple laboratory analysis data to estimate potential membrane fouling parameters and subsequently utilize the ANN control system to reduce water losses. Reduction of water losses were achieved by prolonging filtration duration for feed water with low turbidity using the ANN control system. This advanced control system would be of interest to operators of industrial-scale UF membrane water treatment plants for the reduction of water losses with existing facilities. Elsevier 2018 Article PeerReviewed Chew, Chun Ming and Aroua, Mohamed Kheireddine and Hussain, Mohd Azlan (2018) Advanced process control for ultrafiltration membrane water treatment system. Journal of Cleaner Production, 179. pp. 63-80. ISSN 0959-6526 https://doi.org/10.1016/j.jclepro.2018.01.075 doi:10.1016/j.jclepro.2018.01.075
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TP Chemical technology
spellingShingle TP Chemical technology
Chew, Chun Ming
Aroua, Mohamed Kheireddine
Hussain, Mohd Azlan
Advanced process control for ultrafiltration membrane water treatment system
description Dead-end ultrafiltration (UF) has been considered as a more energy efficient operation mode compared to cross-flow filtration for the production of drinking/potable water in large-scale water treatment systems. Conventional control systems utilize pre-determined set-points for filtration and backwash durations of the constant flux dead-end UF process. Commonly known potential membrane fouling parameters such as feed water solids concentrations and specific cake resistance during filtration were not taken into considerations in the conventional control systems. In this research, artificial neural networks (ANN) predictive model and controllers were utilized for the process control of the UF process. An UF experimental system has been developed to conduct experiments and compare efficiencies of both the conventional set-points and ANN control systems. The novelty of this study is to utilize commonly available on-line and simple laboratory analysis data to estimate potential membrane fouling parameters and subsequently utilize the ANN control system to reduce water losses. Reduction of water losses were achieved by prolonging filtration duration for feed water with low turbidity using the ANN control system. This advanced control system would be of interest to operators of industrial-scale UF membrane water treatment plants for the reduction of water losses with existing facilities.
format Article
author Chew, Chun Ming
Aroua, Mohamed Kheireddine
Hussain, Mohd Azlan
author_facet Chew, Chun Ming
Aroua, Mohamed Kheireddine
Hussain, Mohd Azlan
author_sort Chew, Chun Ming
title Advanced process control for ultrafiltration membrane water treatment system
title_short Advanced process control for ultrafiltration membrane water treatment system
title_full Advanced process control for ultrafiltration membrane water treatment system
title_fullStr Advanced process control for ultrafiltration membrane water treatment system
title_full_unstemmed Advanced process control for ultrafiltration membrane water treatment system
title_sort advanced process control for ultrafiltration membrane water treatment system
publisher Elsevier
publishDate 2018
url http://eprints.um.edu.my/22239/
https://doi.org/10.1016/j.jclepro.2018.01.075
_version_ 1646210184154972160
score 13.211869

Similar Items