Advanced process control for ultrafiltration membrane water treatment system
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 12 - Engineering
- Output identifier
- 238827241
- Type
- D - Journal article
- DOI
-
10.1016/j.jclepro.2018.01.075
- Title of journal
- Journal of Cleaner Production
- Article number
- -
- First page
- 63
- Volume
- 179
- Issue
- -
- ISSN
- 0959-6526
- Open access status
- Not compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is a result of a rigorous study comprising artificial neural networks (ANN) modelling, design and fabrication of an experimental rig, and development and implementation of an advanced control system for water treatment by Ultrafiltration (UF). The ANN controller resulted in significant reductions in water losses and electricity cost as compared to conventional set-point controllers. The work resulted in the development of a mobile solar powered self-cleaning UF system which was installed in many remote areas in Malaysia to provide clean water and was the winner of the IChemE 2018 Global award in water category (https://ichemeblog.org/2019/04/12/self-cleaning-system-creates-clean-water-for-malaysian-villagers-icheme-water-award-winner-2018/#more-11460).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
