A systematic mixed-integer differential evolution approach for water network operational optimization
- Submitting institution
-
The University of East Anglia
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 183394929
- Type
- D - Journal article
- DOI
-
10.1098/rspa.2017.0879
- Title of journal
- Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Article number
- 20170879
- First page
- -
- Volume
- 474
- Issue
- 2217
- ISSN
- 1364-5021
- Open access status
- Deposit exception
- Month of publication
- September
- 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)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research proposes a mixed-integer differential evolution algorithm integrated with model-based predictive control to address water network operations. A case study in west Wales gave over 20% energy savings. The work was in collaboration with Intel and Welsh Water, while the latter is giving full consideration of adoption in their network management practices given the nature of intervention. This research contributed to the award of a large IUK grant (Remedy-105843), a £5.4M new partnership with Imperial, Southend Council and commercial organisations SMS and Vital Energi. Other follow-ups include a BRE book (urban water systems management) and grant award SemanticLCA (EPSRC).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
