Projects per year
Abstract
This paper describes the development and application of a new multi-objective evolutionary optimization approach for the design and upgrading of water distribution systems with multiple pumps and service reservoirs. The optimization model employs a pressure-driven analysis simulator that accounts for the minimum node pressure constraints and conservation of mass and energy. Pump scheduling, tank siting and tank design are integrated seamlessly in the optimization without introducing additional heuristic procedures. The computational solution of the optimization problem is entirely penalty-free, thanks to pressure-driven analysis and the inclusion of explicit criteria for tank depletion and replenishment. The model was applied to the Anytown network that is a benchmark optimization problem. Many new solutions were achieved that are cheaper and offer superior performance compared to previous solutions in the literature. Detailed and extensive simulations of the solutions achieved were carried out. Spatial and temporal variations in water quality were investigated by simulating the chlorine residual and disinfection by-products in addition to water age. The hydraulic requirements were satisfied; efficiency of pumps was consistently high; effective operation of the new and existing tanks was achieved; water quality was improved; and overall computational efficiency was high. The formulation is entirely generic.
Original language | English |
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Pages (from-to) | 3671–3688 |
Number of pages | 18 |
Journal | Water Resources Management |
Volume | 30 |
Issue number | 11 |
Early online date | 3 Jun 2016 |
DOIs | |
Publication status | Published - 1 Sept 2016 |
Keywords
- demand-driven analysis
- pressure-driven analysis
- penalty-free constrained multiobjective evolutionary optimization
Fingerprint
Dive into the research topics of 'Penalty-free multi-objective evolutionary approach to optimization of anytown water distribution network'. Together they form a unique fingerprint.Projects
- 1 Finished
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PF-MOEA: Penalty-free feasibility boundary-convergent multi-objective evolutionary approach for water distribution
Tanyimboh, T. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/09 → 31/03/13
Project: Research
Research output
- 33 Citations
- 4 Article
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Multiobjective evolutionary optimization of water distribution systems: exploiting diversity with infeasible solutions
Tanyimboh, T. T. & Seyoum, A. G., 1 Dec 2016, In: Journal of Environmental Management. 183, Part 1, p. 133-141 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile19 Citations (Scopus)146 Downloads (Pure) -
Investigation into the pressure-driven extension of the EPANET hydraulic simulation model for water distribution systems
Seyoum, A. G. & Tanyimboh, T. T., 29 Sept 2016, (E-pub ahead of print) In: Water Resources Management. 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Citations (Scopus)169 Downloads (Pure) -
Assessment of penalty-free multi-objective evolutionary optimization approach for the design and rehabilitation of water distribution systems
Siew, C., Tanyimboh, T. & Seyoum, A. G., Jan 2014, In: Water Resources Management. 28, 2, p. 373-389 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile40 Citations (Scopus)138 Downloads (Pure)