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dc.contributor.authorDziedzic, Jakub Wladyslaw
dc.contributor.authorYan, Da
dc.contributor.authorSun, Hongsan
dc.contributor.authorNovakovic, Vojislav
dc.date.accessioned2021-05-28T08:25:08Z
dc.date.available2021-05-28T08:25:08Z
dc.date.created2020-10-26T15:27:58Z
dc.date.issued2020
dc.identifier.citationApplied Energy. 2020, 261 .en_US
dc.identifier.issn0306-2619
dc.identifier.urihttps://hdl.handle.net/11250/2756795
dc.description.abstractSimulation of occupant behaviour (OB) in buildings is a challenging task. Available software uses a broad spectrum of tools that try to reproduce the patterns of human activity. From building energy perspective, the main emphasis in research has been focused on discovering behaviour directly related to energy. In recent years, more attention has been given to simulating occupant actions that are indirectly influencing building energy use. In most of the cases, this is achieved with the use of agent-based modelling which allows describing occupant actions on a room level. According to the existing methodologies review, it is a proper step, but to include occupant behaviour in energy simulations, spatial and temporal resolution of the occupant behaviour model must be improved. Addressing this issue requires the development of a comprehensive model supported by numerous modules that would cover various significant occupant actions. This paper focuses on the development of the high-resolution, data-driven movement engine of occupants. It is one of the fundamental modules necessary to simulate occupant behaviour with high granularity. Once the model is developed within its essential functionalities, it will deliver a bottom-up model capable of testing various energy use strategies. It will allow for testing different heat, ventilation and air conditioning solutions and the responses provided by simulated occupants. The data used to develop this module was obtained thru in-situ measurements, with the use of depth registration. Information obtained from experiments is similar to previous research, but it also extends the investigation scope with an additional transition-based variable.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleBuilding occupant transient agent-based model – Movement moduleen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber13en_US
dc.source.volume261en_US
dc.source.journalApplied Energyen_US
dc.identifier.doi10.1016/j.apenergy.2019.114417
dc.identifier.cristin1842398
dc.description.localcodePublisher embargo applies until March 1, 2022, © 2021. This accepted version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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