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Optimal District Metered Area design by Simulated Annealing

2018-07Conference object Open access
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dc.contributor.authorGomes, Ricardo
dc.contributor.authorSousa, J.
dc.contributor.authorSá Marques, Alfeu
dc.contributor.authorMuranho, João
dc.date.accessioned2020-02-07T10:33:03Z
dc.date.available2020-02-07T10:33:03Z
dc.date.issued2018-07
dc.description.abstractWater losses reduction in Water Distribution Systems (WDS) is nowadays an issue of growing importance for water companies to ensure the sustainability of these public services. In this context, the implementation of District Metered Areas (DMAs) and/or pressure management are considered the most effective tools for leakage control, particularly in large networks and in systems with deteriorated infrastructures and with high pressure. Based in previous studies performed by the authors [1,2,3], the methodology described in this paper follows the ‘water losses management international best practices’ and makes it possible to evaluate the Net Present Value (NPV) of DMAs project, as well as the benefits that can be achieved by pressure management in WDS, particularly in terms of water production reduction. It is based on the analysis of the minimum night flow and the FAVAD concept, and it uses a pressure driven simulation model to predict the network hydraulic behaviour under different pressure conditions. Leakage assessment is performed using pressure driven analysis and the optimal location of pipes reinforcement/replacement and settings of the Pressure Reduction Valves (PRVs) are identified by a Simulated Annealing algorithm. The potential of this methodology is illustrated through an hypothetical case study.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9095
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectDistrict Metered Areaspt_PT
dc.subjectPressure managementpt_PT
dc.subjectSimulated Annealingpt_PT
dc.subjectWater lossespt_PT
dc.titleOptimal District Metered Area design by Simulated Annealingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePalermo (Italy)pt_PT
oaire.citation.title13th International Conference on Hydroinformatics (HIC 2018)pt_PT
person.familyNameJesus Gomes
person.familyNamede Oliveira Sousa
person.familyNameSá Marques
person.familyNameMuranho
person.givenNameRicardo
person.givenNameJoaquim José
person.givenNameJosé Alfeu
person.givenNameJoão
person.identifierhttps://scholar.google.pt/citations?user=8zS8MIUAAAAJ&hl=pt-PT
person.identifier.ciencia-id5C1B-DC9B-FAEB
person.identifier.ciencia-id5C19-55FB-3BB1
person.identifier.ciencia-id961D-878F-3992
person.identifier.ciencia-idFB10-A179-7FAF
person.identifier.orcid0000-0002-6375-7014
person.identifier.orcid0000-0003-0659-8747
person.identifier.orcid0000-0001-6859-6662
person.identifier.orcid0000-0002-4311-496X
person.identifier.ridJ-4423-2012
person.identifier.ridC-9578-2017
person.identifier.ridU-3870-2017
person.identifier.scopus-author-id7202617753
person.identifier.scopus-author-id7801333575
person.identifier.scopus-author-id23398083200
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationa07b9b7f-5c28-4602-b39c-54fb08f9745f
relation.isAuthorOfPublication76b7fd14-2024-46e9-846c-ff6caf8a72c5
relation.isAuthorOfPublication2e276010-90ba-462a-8125-dc34ec269979
relation.isAuthorOfPublicationef766711-6547-4bd7-af2a-6875113c7315
relation.isAuthorOfPublication.latestForDiscovery76b7fd14-2024-46e9-846c-ff6caf8a72c5

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