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A hybrid modelling for both pressure-dependent and volume-based demand in pressure-driven analysis

datacite.subject.fosEngenharia e Tecnologia
dc.contributor.authorMuranho, João
dc.contributor.authorSousa, Joaquim
dc.contributor.authorFerreira, Ana Maria
dc.contributor.authorMarques, Alfeu Sá
dc.contributor.authorGomes, Abel
dc.date.accessioned2026-07-17T15:40:45Z
dc.date.available2026-07-17T15:40:45Z
dc.date.issued2024-09-12
dc.description.abstractWater distribution network (WDN) simulation models are usually classified as demanddriven or pressure-driven, depending on whether the demands are independent of or dependent on network pressures, respectively. In real-world networks, both types of demands coexist in the same building. This paper presents a hybrid modelling approach that combines volume-based and pressuredependent demands in the same model, allowing for different pressure–demand relationships. This hybrid modelling approach is intended to produce more realistic results when modelling WDNs, and it was implemented in WaterNetGen, an EPANET extension.eng
dc.description.sponsorshipThis research was funded by the Portuguese Foundation for Science and Technology under the project grant UIDB/00308/2020, with the DOI 10.54499/UIDB/00308/2020.
dc.identifier.citationMURANHO, J. [et al] (2024) - Hybrid modelling for both pessure-dpendent and vlume-bsed dmand in pessure-diven aalysis. Eng. Proc. 69,126. DOI: 10.3390/engproc2024069126
dc.identifier.doi10.3390/engproc2024069126
dc.identifier.urihttp://hdl.handle.net/10400.11/10956
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relation.ispartofThe 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectEPANET
dc.subjectPressure-driven analysis
dc.subjectWater distribution networks
dc.subjectWaterNetGen
dc.titleA hybrid modelling for both pressure-dependent and volume-based demand in pressure-driven analysiseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleEng. Proc.
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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