Social Network Community Detection and Hybrid Optimization for Dividing Water Supply into District Metered Areas
| Autor: | Bruno Melo Brentan, Daniel Manzi, Enrique Campbell, Gustavo Meirelles, Manuel Herrera, Joaquín Izquierdo, Edevar Luvizotto, Thaisa Goulart |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Operations research
Computer science 0208 environmental biotechnology Geography Planning and Development Water supply 02 engineering and technology Management Monitoring Policy and Law Soccer league competition 0202 electrical engineering electronic engineering information engineering Water Science and Technology Civil and Structural Engineering District metered areas (DMA) definition business.industry GA Rehabilitation PSO Genetic algorithms (GA) Division (mathematics) 020801 environmental engineering Water distribution networks Particle swarm optimization (PSO) Graph (abstract data type) 020201 artificial intelligence & image processing DMA definition business SDG 6 - Clean Water and Sanitation MATEMATICA APLICADA |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname Brentan, B M, Campbell, E, Goulart, T, Manzi, D, Meirelles, G, Herrera, M, Izquierdo, J & Luvizotto Jr., E 2018, ' Social network community detection and hybrid optimization for dividing water supply into district metered areas ', Journal of Water Resources Planning and Management, vol. 144, no. 5, 04018020 . https://doi.org/10.1061/(ASCE)WR.1943-5452.0000924 |
| DOI: | 10.1061/(ASCE)WR.1943-5452.0000924 |
| Popis: | Water supply utilities need to properly manage their systems to guarantee a quality supply. One way to manage large systems is through division into district metered areas (DMAs). Graph clustering with an unknown number of subdivisions, as in social network theory, has proven highly efficient in this sectorization problem. Several physical and hydraulic features may easily be used as criteria to suitably divide the network. This paper uses social network community detection algorithms to define several DMA scenarios. Configurations mainly depend on nodal demand and elevation, but adaptations may be needed to guarantee full supply in future scenarios related to system growth- and rehabilitation actions may also be required. The problem associated with pipes and valves is first solved with three optimization methods. The best solutions then enter a new optimization process, in which tank dimensions and valve set points are defined. This complex optimization-segregation approach enables an improvement in the hydraulic efficiency of the E-Town network at an affordable cost, and this approach also determines the measures needed to meet the dry season requirements. |
| Databáze: | OpenAIRE |
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