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dc.contributor.authorGrosso Pérez, Juan Manuel
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.authorPuig Cayuela, Vicenç
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2018-02-12T18:23:12Z
dc.date.available2018-02-12T18:23:12Z
dc.date.issued2017
dc.identifier.citationGrosso, J., Ocampo-Martinez, C.A., Puig, V. Non-centralized predictive control for drinking-water supply systems. A: Puig Cayuela, Vicenç, Ocampo Martinez, Carlos Augusto, Perez Magrane, Ramon, Cembrano Gennari, M.gabriela Elena, Quevedo Casin, Joseba-jokin, Escobet Canal, T. "Real-time monitoring and operational control of drinking-water systems". Berlín: Springer, 2017, p. 341-362.
dc.identifier.isbn978-3-319-50750-7
dc.identifier.urihttp://hdl.handle.net/2117/114067
dc.descriptionThe final publication is available at link.springer.com
dc.description.abstractThis book presents a set of approaches for the real-time monitoring and control of drinking-water networks based on advanced information and communication technologies. It shows the reader how to achieve significant improvements in efficiency in terms of water use, energy consumption, water loss minimization, and water quality guarantees. The methods and approaches presented are illustrated and have been applied using real-life pilot demonstrations based on the drinking-water network in Barcelona, Spain. The proposed approaches and tools cover: - decision-making support for real-time optimal control of water transport networks, explaining how stochastic model predictive control algorithms that take explicit account of uncertainties associated with energy prices and real demand allow the main flow andpressure actuators—pumping stations and pressure regulation valves—and intermediate storage tanks to be operated to meet demand using the most sustainable types of source and with minimum electricity costs; - decision-making support for monitoring water balance and distribution network quality in real time, implementing fault detection anddiagnosis techniques and using information from hundreds of flow,pressure, and water-quality sensors together with hydraulic and quality-parameter-evolution models to detect and locate leaks in the network, possible breaches in water quality, and failures in sensors and/or actuators; - consumer-demand prediction, based on smart metering techniques, producing detailed analyses and forecasts of consumption patterns,providing a customer communications service, and suggesting economic measures intended to promote more efficient use of water at the household level. Researchers and engineers working with drinking-water networks will find this a vital support in overcoming the problems associated with increased population, environmental sensitivities and regulation, aging infrastructures, energy requirements, and limited water sources.
dc.format.extent22 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.othernon-centralized control
dc.subject.otherpredictive controllers
dc.subject.otherwater networks
dc.titleNon-centralized predictive control for drinking-water supply systems
dc.typePart of book or chapter of book
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1007/978-3-319-50751-4
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Control theory::Predictive control
dc.relation.publisherversionhttps://link.springer.com/book/10.1007%2F978-3-319-50751-4
dc.rights.accessOpen Access
local.identifier.drac21873129
dc.description.versionPostprint (author's final draft)
local.citation.authorGrosso, J.; Ocampo-Martinez, C.A.; Puig, V.
local.citation.contributorPuig Cayuela, Vicenç, Ocampo Martinez, Carlos Augusto, Perez Magrane, Ramon, Cembrano Gennari, M.gabriela Elena, Quevedo Casin, Joseba-jokin, Escobet Canal, Teresa
local.citation.pubplaceBerlín
local.citation.publicationNameReal-time monitoring and operational control of drinking-water systems
local.citation.startingPage341
local.citation.endingPage362


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