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dc.contributor.authorCılasun Kunduracı, Arzu
dc.contributor.authorKazanasmaz, Tuğçe
dc.date.accessioned2019-07-10T07:43:52Z
dc.date.available2019-07-10T07:43:52Z
dc.date.issued2019-06en_US
dc.identifier.citationCılasun Kunduracı, A. and Kazanasmaz, T. (2019). Fuzzy logic model for the categorization of manual lighting control behaviour patterns based on daylight illuminance and interior layout. Indoor and Built Environment, 28(5), 584-598. doi:10.1177/1420326X17703772en_US
dc.identifier.issn1420-326X
dc.identifier.urihttps://doi.org/10.1177/1420326X17703772
dc.identifier.urihttps://hdl.handle.net/11147/7152
dc.description.abstractIn considering total building energy consumption, lighting plays an important role in shaping energy consumption and use. Although key strategies (such as energy efficient lighting products, lighting control systems and energy simulation software) are developed so far, such attempts may be unsuccessful unless users are not taken into consideration. Users’ behaviours and their manual lighting control actions depend on various factors, though within the scope of this study manual lighting control behaviour was analysed only in terms of interior layout and daylight illuminance. Three private offices in Izmir Institute of Technology were monitored using illuminance metres and occupancy/light detectors under eight different interior layout conditions. In relation to change of interior layout and daylight penetrations, users’ manual lighting control behaviours were monitored. The obtained data were then used to construct a fuzzy logic model in MATLAB FIS editor. A fuzzy logic algorithm was applied to classify behaviour patterns about the tendency to turn on the lights. This kind of prediction of the light usage tendency regarding the occupancy is aimed to foresee the ‘possible’ manual lighting control behaviour within given conditions. The gathered classification can be used further in future studies of manual lighting control behaviour and energy-saving estimations/simulations.en_US
dc.description.sponsorshipIzmir Yüksek Teknoloji Enstitüsü (2014IYTE26); TUBITAK (Research No. 2214-A 1059B141400215)en_US
dc.language.isoengen_US
dc.publisherSAGE Publicationsen_US
dc.relation.isversionof10.1177/1420326X17703772en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBehaviour patternen_US
dc.subjectDaylight illuminanceen_US
dc.subjectFuzzy logic modelen_US
dc.subjectInterior layouten_US
dc.subjectManual lighting controlen_US
dc.titleFuzzy logic model for the categorization of manual lighting control behaviour patterns based on daylight illuminance and interior layouten_US
dc.typearticleen_US
dc.contributor.authorID0000-0001-7844-1373en_US
dc.contributor.iztechauthorKazanasmaz, Tuğçe
dc.relation.journalIndoor and Built Environmenten_US
dc.contributor.departmentIzmir Institute of Technology. Architectureen_US
dc.identifier.volume28en_US
dc.identifier.issue5en_US
dc.identifier.startpage584en_US
dc.identifier.endpage598en_US
dc.identifier.wosWOS:000469879100002
dc.identifier.scopusSCOPUS:2-s2.0-85042416301
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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