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A usage model-driven approach for forecasting occupant-related energy consumption in residential buildings

dc.rights.licenseopenen_US
dc.contributor.authorZARAKET, Toufic
dc.contributor.authorYANNOU, Bernard
dc.contributor.authorLEROY, Yann
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorMINEL, Stephanie
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorCHAPOTOT, Emilie
dc.date.accessioned2024-12-06T09:45:31Z
dc.date.available2024-12-06T09:45:31Z
dc.date.issued2013-12-04
dc.date.conference2013-07-04
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/203725
dc.description.abstractEnResidential buildings are seen as major energy consumers among other industrial sectors worldwide. As we move towards low-consuming and nearly zero energy buildings, higher performance requirements on sustainability and robustness are manifested. Consequently, a better comprehension and integration of building performance determinants in the very early phases of design has become essential for building constructors. Buildings experts rely on energy modeling and simulation tools for estimating actual and future energy consumptions. However, such tools still do not account precisely for occupant behaviors and their variability, yielding thus to unrealistic and inaccurate results. Therefore, it is assumed that a better comprehension of occupant behaviors and their consumption trends could improve the identification of technical solutions and energy saving potentials, resulting consequently in more robust building designs. In our research work, we aim to develop a model for forecasting the spectrum of occupant-related energy consumption in residential buildings. In this scope, we establish a comprehensive model-driven approach which gives a probabilistic mapping between household profiles and their corresponding domestic energy consumptions. A bottom-up model using an activity-based approach is adopted. In this paper, we present the structure of the model, reveal its different objects together with their interactions, and introduce its ontology. Later on, we demonstrate the modeling and simulation flows leading to calculate the energy consumption for example household types.
dc.language.isoENen_US
dc.title.enA usage model-driven approach for forecasting occupant-related energy consumption in residential buildings
dc.typeCommunication dans un congrèsen_US
dc.subject.halSciences de l'environnement/Ingénierie de l'environnementen_US
dc.subject.halSciences de l'Homme et Société/Sociologieen_US
bordeaux.pageUSBen_US
bordeaux.hal.laboratoriesESTIA - Rechercheen_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.conference.titleCONFERE 2013en_US
bordeaux.countryfren_US
bordeaux.title.proceedingCONFERE 2013en_US
bordeaux.conference.cityBiarritzen_US
bordeaux.import.sourcehal
hal.identifierhal-00913635
hal.version1
hal.invitednonen_US
hal.proceedingsouien_US
hal.conference.end2013-07-05
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2013-12-04&rft.spage=USB&rft.epage=USB&rft.au=ZARAKET,%20Toufic&YANNOU,%20Bernard&LEROY,%20Yann&MINEL,%20Stephanie&CHAPOTOT,%20Emilie&rft.genre=unknown


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