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dc.contributor.authorJeong, Bongchan
dc.date.accessioned2022-03-30T02:45:02Z
dc.date.available2022-03-30T02:45:02Z
dc.date.issued2021en_AU
dc.identifier.urihttps://hdl.handle.net/2123/27916
dc.description.abstractThe present research seeks to characterise occupant behaviours in a residential setting to improve the predictive skill of residential energy simulation models. To date only a handful of studies have been done in Australian residential environments because of the difficulty and cost of building up a large sample size. As a result it has been common to apply adaptive comfort models derived from office building studies in residential settings, despite the expectation that occupants in the latter context would have more adaptive opportunities, given that the degree of control over their environment in office environment is usually quite restricted. The objective of this thesis is to establish an empirical basis to better understanding occupant behaviours and perception of comfort in the residential context. A longitudinal field observation campaign was conducted in 41 Australian homes in South-East Queensland across a one-year period (2019-21). A custom data acquisition system was developed and deployed in each participant’s home to monitor the indoor environment and operations of A/Cs and windows. An online comfort questionnaire was administered to the sample householders via their smartphones. This study explores an alternative modelling approach that is capable of predicting diverse occupant actions on A/C operations and window openings in relation to outdoor and indoor environmental stimuli. The study also examined the perception of thermal comfort and behavioural adaptation of residents in different climates of Australia. Further analysis was performed on a large-scale time use survey conducted at the national level from the Australian Bureau of Statistics to reproduce occupancy and energy-related behaviours in Australian households. The empirical findings from this study provide evidence-based behavioural models and simulation settings to more accurately predict indoor environmental conditions and energy consumption in residential buildings.en_AU
dc.language.isoenen_AU
dc.subjectoccupant behaviouren_AU
dc.subjectair conditioningen_AU
dc.subjectwindow openingen_AU
dc.subjectthermal comforten_AU
dc.subjectresidentialen_AU
dc.subjectbuilding energy performance simulationen_AU
dc.titleInvestigation of occupant behaviour in residential buildingsen_AU
dc.typeThesis
dc.type.thesisDoctor of Philosophyen_AU
dc.rights.otherThe author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission.en_AU
usyd.facultySydney School of Architecture, Design and Planningen_AU
usyd.departmentArchitectural and Design Scienceen_AU
usyd.degreeDoctor of Philosophy Ph.D.en_AU
usyd.awardinginstThe University of Sydneyen_AU
usyd.advisorKIM, JUNGSOO
usyd.advisorDE DEAR, RICHARD
usyd.advisorCHEN, ZHENGDONG


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