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dc.contributor.authorSembroiz Ausejo, David
dc.contributor.authorCareglio, Davide
dc.contributor.authorRicciardi, Sergio
dc.contributor.authorFiore, Ugo
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2021-03-10T07:29:31Z
dc.date.available2021-03-10T07:29:31Z
dc.date.issued2019-02
dc.identifier.citationSembroiz, D. [et al.]. Planning and operational energy optimization solutions for smart buildings. "Information sciences", Febrer 2019, vol. 476, p. 439-452.
dc.identifier.issn0020-0255
dc.identifier.urihttp://hdl.handle.net/2117/341336
dc.description.abstractThe incremented popularity of Internet of Things (IoT), thanks to improvements both in hardware and software of sensors over the last years, enables the possibility to monitor and gather any kind of data. Additionally, the arrangement of heterogeneous sensors, capable of perceiving information about their surroundings, into a rich Wireless Sensor Network (WSN) allows the appearance of complex systems in which resources are managed more efficiently. Smart cities, buildings, parkings, emergency services are appearing, where control over energy consumption and better sustainability are coupled with an improvement of the comfort of occupants. In this paper, we address the problem of energy optimization in smart buildings, considering both the planning and operational aspects. Specifically, the first aim is to propose an optimal deployment of the WSN inside a building. For this, we present a model able to identify the optimal locations for different types of sensors and gateways, by optimizing energy consumption while fulfilling connectivity, resource, protection, and clustering coverage constraints. Once the IoT system is deployed, we address the problem of how the building actually functions, according to the behaviour of the occupants. In particular, we propose a Building Management System (BMS) capable of efficiently and automatically manage the building elements using human behavioural models, thus lowering the overall building energy consumption whilst maintaining acceptable levels of comfort.
dc.format.extent14 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights© 2018 Elsevier
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshIntelligent buildings
dc.subject.lcshWireless sensor networks
dc.subject.lcshBuildings -- Energy consumption
dc.subject.otherInternet of things
dc.subject.otherSmart buildings
dc.subject.otherOptimization
dc.subject.otherEnergy
dc.subject.otherComfort
dc.subject.otherWireless sensor network
dc.subject.otherILP
dc.subject.otherSimulation
dc.titlePlanning and operational energy optimization solutions for smart buildings
dc.typeArticle
dc.subject.lemacEdificis intel·ligents
dc.subject.lemacXarxes de sensors sense fils
dc.subject.lemacEdificis -- Consum d'energia
dc.contributor.groupUniversitat Politècnica de Catalunya. CBA - Sistemes de Comunicacions i Arquitectures de Banda Ampla
dc.identifier.doi10.1016/j.ins.2018.06.003
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0020025518304444
dc.rights.accessOpen Access
local.identifier.drac23241661
dc.description.versionPostprint (author's final draft)
local.citation.authorSembroiz, D.; Careglio, D.; Ricciardi, S.; Fiore, U.
local.citation.publicationNameInformation sciences
local.citation.volume476
local.citation.startingPage439
local.citation.endingPage452


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