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Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems

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Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems

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dc.contributor.author Carpitella, Silvia es_ES
dc.contributor.author Brentan, B. M. es_ES
dc.contributor.author Montalvo Arango, Idel es_ES
dc.contributor.author Izquierdo Sebastián, Joaquín es_ES
dc.contributor.author Certa, A. es_ES
dc.date.accessioned 2020-04-08T05:58:41Z
dc.date.available 2020-04-08T05:58:41Z
dc.date.issued 2019-08-13 es_ES
dc.identifier.issn 1606-9749 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140499
dc.description.abstract [EN] This work presents a multi-criteria-based approach to automatically select specific non-dominated solutions from a Pareto front previously obtained using multi-objective optimization to find optimal solutions for pump control in a water supply system. Optimal operation of pumps in these utilities is paramount to enable water companies to achieve energy efficiency in their systems. The Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is used to rank the Pareto solutions found by the non-dominated sorting genetic algorithm (NSGA-II) employed to solve the multi-objective problem. Various scenarios are evaluated under leakage uncertainty conditions, resulting in fuzzy solutions for the Pareto front. This paper shows the suitability of the approach for quasi real-world problems. In our case-study, the obtained solutions for scenarios including leakage represent the best trade-off among the optimal solutions, under some considered criteria, namely, operational cost, operational lack of service, pressure uniformity and network resilience. Potential future developments could include the use of clustering alternatives to evaluate the goodness of each solution under the considered evaluation criteria. es_ES
dc.language Inglés es_ES
dc.publisher IWA Publishing es_ES
dc.relation.ispartof Water Science & Technology: Water Supply es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Multi-criteria analysis es_ES
dc.subject Multi-objective optimization es_ES
dc.subject Optimal pump scheduling es_ES
dc.subject Water distribution systems es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.2166/ws.2019.115 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Carpitella, S.; Brentan, BM.; Montalvo Arango, I.; Izquierdo Sebastián, J.; Certa, A. (2019). Multi-criteria analysis applied to multi-objective optimal pump scheduling in water systems. Water Science & Technology: Water Supply. 19(8):2338-2346. https://doi.org/10.2166/ws.2019.115 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.2166/ws.2019.115 es_ES
dc.description.upvformatpinicio 2338 es_ES
dc.description.upvformatpfin 2346 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 19 es_ES
dc.description.issue 8 es_ES
dc.relation.pasarela S\394817 es_ES
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