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Assessment of Different Approaches to Model the Thermal Behavior of a Passive Building via System Identification Process

dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorCHEN AUSTIN, Miguel
dc.contributor.authorCHANG, Ignacio
hal.structure.identifierÉcole nationale supérieure d'architecture et du paysage de Bordeaux [ENSAP Bordeaux]
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorBRUNEAU, Denis
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSEMPEY, Alain
IDREF: 123978777
dc.contributor.editorMARTINEZ, Alexander
dc.contributor.editorMORENO, Hector A.
dc.contributor.editorCARRERA, Isela G.
dc.contributor.editorCAMPOS, Alexandre
dc.contributor.editorBACA, Jose
dc.date.accessioned2024-09-12T07:24:16Z
dc.date.available2024-09-12T07:24:16Z
dc.date.issued2020-01-30
dc.date.conference2019-10-30
dc.identifier.isbn978-3-030-40309-6en_US
dc.identifier.issn2367-3389en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/201556
dc.description.abstractEnA preliminary study is presented with the aim of modeling the thermal behavior of a passive building that is ventilated merely with the promotion of natural ventilation, various models have been assessed by using the system identification process. The identification of a simplify and lite model of such thermal behavior is needed to later control the thermal comfort of the indoor environment through the building natural ventilation openings and window blinds. A physical-phenomena-based model using electrical analogies is built upon hypotheses allowed by the architectural features of the building. This helps analyze the interaction between the main elements of the physical domain, where the thermal behavior is only determined by the indoor air and concrete-slab temperatures. Three model approaches are examined with the help of the system identification toolbox: State space, Process models (linear and frequency domain), and Nonlinear representation. The nonlinear representation model is the best fitted encountered after 13 iterations with an accuracy of 71%.
dc.language.isoENen_US
dc.publisherSpringer International Publishingen_US
dc.title.enAssessment of Different Approaches to Model the Thermal Behavior of a Passive Building via System Identification Process
dc.typeCommunication dans un congrèsen_US
dc.identifier.doi10.1007/978-3-030-40309-6en_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.page185-193en_US
bordeaux.volume409en_US
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.conference.title2nd Latin American Congress on Automation and Roboticsen_US
bordeaux.countrycoen_US
bordeaux.title.proceedingAdvances in automation and robotics research : Proceedings of the 2nd latin american congress on automation and robotics, Cali, Colombia 2019en_US
bordeaux.conference.cityCalien_US
hal.identifierhal-04695187
hal.version1
hal.date.transferred2024-09-12T07:24:18Z
hal.proceedingsouien_US
hal.conference.end2019-11-01
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
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