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dc.contributor.authorAguilar, J.
dc.contributor.authorGarcés Jiménez, Alberto
dc.contributor.authorGallego Salvador, Nuria
dc.contributor.authorGutiérrez de Mesa, José Antonio
dc.contributor.authorGómez Pulido, José Manuel
dc.contributor.authorGarcía Tejedor, Álvaro José 
dc.date.accessioned2019-11-13T11:07:30Z
dc.date.available2019-11-13T11:07:30Z
dc.date.issued2019
dc.identifier.issn2169-3536spa
dc.identifier.urihttp://hdl.handle.net10641/1721
dc.description.abstractThis article proposes a self-managing architecture for multi-HVAC systems in buildings, based on the “Autonomous Cycle of Data Analysis Tasks” concept. A multi-HVAC system can be plainly seen as a set of HVAC subsystems, made up of heat pumps, chillers, cooling towers or boilers, among others. Our approach is used for improving the energy consumption, as well as to maintain the indoor comfort, and maximize the equipment performance, by means of identifying and selecting of a possible multi-HVAC system operational mode. The multi-HVAC system operational modes are the different combinations of the HVAC subsystems. The proposed architecture relies on a set of data analysis tasks that exploit the data gathered from the system and the environment to autonomously manage the multi-HVAC system. Some of these tasks analyze the data to obtain the optimal operational mode in a given moment, while others control the active HVAC subsystems. The proposed model is based on standard standard HVAC mathematical models, that are adapted on the fly to the contextual data sensed from the environment. Finally, two case studies, one with heterogeneous and another with homogeneous HVAC equipment, show the generality of the proposed autonomous management architecture for multi-HVAC systems.spa
dc.language.isoengspa
dc.publisherIEEE Accessspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectHVAC systemspa
dc.subjectAutonomic computingspa
dc.subjectData analysisspa
dc.subjectSmart buildingspa
dc.subjectMulti-objective optimizationspa
dc.subjectBuilding management systemsspa
dc.titleAutonomic Management Architecture for Multi-HVAC Systems in Smart Buildings.spa
dc.typearticlespa
dc.description.versionpost-printspa
dc.rights.accessRightsopenAccessspa
dc.description.extent4413 KBspa
dc.identifier.doi10.1109/ACCESS.2019.2937639spa
dc.relation.publisherversionhttps://ieeexplore.ieee.org/abstract/document/8813011spa


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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España