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Feed-forward control for a drinking water treatment plant chlorination process

Author
Gamiz, J.; Martinez, H.; Grau, A.; Bolea, Y.; Vilanova, R.
Type of activity
Presentation of work at congresses
Name of edition
25th IEEE International Conference on Emerging Technologies and Factory Automation
Date of publication
2020
Presentation's date
2020-09-11
Book of congress proceedings
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): Proceedings: Vienna, Austria - Hybrid: 08-11 September, 2020
First page
462
Last page
467
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/ETFA46521.2020.9211884
Project funding
Energy Management in Cooperative Urban Microgrids
Repository
http://hdl.handle.net/2117/330370 Open in new window
URL
https://ieeexplore.ieee.org/document/9211884 Open in new window
Abstract
Chlorination in drinking water treatment plants (DWTP) is the final process applied to water before it is sent to storage tanks in the supply network for subsequent human consumption. An excessive dosage of chlorine or, conversely, too small a dosage, may breach existing legal regulations on mandatory limits. In DWTP where there is no significant variability in the quality of the water to be treated, a type of control that is proportional to the flow rate in the effluent can have fully satisfact...
Citation
Gamiz, J. [et al.]. Feed-forward control for a drinking water treatment plant chlorination process. A: IEEE International Conference on Emerging Technologies and Factory Automation. "2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA): Proceedings: Vienna, Austria - Hybrid: 08-11 September, 2020". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 462-467. ISBN 978-1-7281-8957-4. DOI 10.1109/ETFA46521.2020.9211884.
Keywords
Chlorination Process, Feedforward Control, Fuzzy Control
Group of research
EPIC - Energy Processing and Integrated Circuits
PERC-UPC - Power Electronics Research Centre
VIS - Artificial Vision and Intelligent Systems

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