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dc.contributor.authorNejjari Akhi-Elarab, Fatiha
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.authorPérez Magrané, Ramon
dc.contributor.authorQuevedo Casín, Joseba Jokin
dc.contributor.authorCugueró Escofet, Miquel Àngel
dc.contributor.authorSanz Estapé, Gerard
dc.contributor.authorMirats Tur, Josep Maria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2014-05-07T15:07:44Z
dc.date.available2014-06-05T08:19:45Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationNejjari, F. [et al.]. Chlorine decay model calibration and comparison: application to a real water network. A: Computing and Control for the Water Industry. "Procedia Engineering, vol 70, 2014. 12th International Conference on Computing and Control for the Water Industry, CCWI2013". Perugia: 2013, p. 1221-1230.
dc.identifier.urihttp://hdl.handle.net/2117/22893
dc.description.abstractThis work presents a methodology to efficiently calibrate chlorine decay models. The calibration consists in estimating the unknown parameters by comparing the measured and simulated chlorine concentrations at the monitored nodes within the distribution system in a least square sense using a normalized quadratic cost function. Since this function involves a non- explicit expression of the model, a genetic algorithm (GA) is applied to optimize the model parameters by minimizing the difference between the model-predicted values and the field-measured ones. The method is applied to a part of the Barcelona drinking water network.
dc.format.extent10 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshComputer algorithms
dc.subject.lcshWater -- Distribution -- Automation
dc.subject.otherChlorine decay
dc.subject.otherCalibration
dc.subject.otherWater distribution
dc.subject.otherGenetic Algorithm
dc.titleChlorine decay model calibration and comparison: application to a real water network
dc.typeConference report
dc.subject.lemacAlgorismes genètics
dc.subject.lemacAigua -- Distribució -- Automatització
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.identifier.doi10.1016/j.proeng.2014.02.135
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
drac.iddocument12771845
dc.description.versionPostprint (published version)
upcommons.citation.authorNejjari, F.; Puig, V.; Perez, R.; Quevedo, J.; Cuguero, M.; Sanz, G.; Mirats, J.
upcommons.citation.contributorComputing and Control for the Water Industry
upcommons.citation.pubplacePerugia
upcommons.citation.publishedtrue
upcommons.citation.publicationNameProcedia Engineering, vol 70, 2014. 12th International Conference on Computing and Control for the Water Industry, CCWI2013
upcommons.citation.startingPage1221
upcommons.citation.endingPage1230


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