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A Preliminary Analysis of Energy Consumption in Academic Buildings

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dc.contributor.authorDzulkifly S.en_US
dc.contributor.authorCheong Hou Y.en_US
dc.contributor.authorAris H.en_US
dc.contributor.authorHashim W.en_US
dc.contributor.authorJorgensen B.N.en_US
dc.contributor.authorid55569716800en_US
dc.contributor.authorid57219452814en_US
dc.contributor.authorid13608397500en_US
dc.contributor.authorid11440260100en_US
dc.contributor.authorid7202434812en_US
dc.date.accessioned2023-05-29T08:07:27Z
dc.date.available2023-05-29T08:07:27Z
dc.date.issued2020
dc.descriptionAtmospheric temperature; Covariance matrix; Electric power utilization; Energy conservation; Office buildings; Space heating; Building energy consumption; Commercial building; Commercial energy; Electricity-consumption; Environmental issues; Outdoor temperature; Preliminary analysis; Technological advancement; Energy utilizationen_US
dc.description.abstractCurrent technological advancement and pressing environmental issues emphasise the need for better energy management to minimise wasting depleting resources. Energy consumption can generally be divided into two, namely residential and commercial. Commercial energy consumption involves commercial buildings that include, but not limited to, banks, hotels, offices and academic buildings. While awareness on optimising energy use is more evident now, there is still a lack of understanding of the parametric values that are crucial in analysing the energy consumption of a commercial building that is unique to the building's function. This study aims to identify the relationships between a number of identified variables and the overall building energy consumption. The study intended to become the preliminary case study in identifying the correlations between selected variables and energy consumption. The analysis was carried out using covariance matrix on identified variables such as electricity consumption, user traffics, the maximum outdoor temperature of the month and the academic term. This study identified positive relationships between electricity consumption, user traffic, and maximum outdoor temperature. � Published under licence by IOP Publishing Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo12002
dc.identifier.doi10.1088/1755-1315/551/1/012002
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85092773472
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85092773472&doi=10.1088%2f1755-1315%2f551%2f1%2f012002&partnerID=40&md5=291a0659f5cdf6dfd2d7d0e1b46f4d9e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25229
dc.identifier.volume551
dc.publisherIOP Publishing Ltden_US
dc.relation.ispartofAll Open Access, Bronze, Green
dc.sourceScopus
dc.sourcetitleIOP Conference Series: Earth and Environmental Science
dc.titleA Preliminary Analysis of Energy Consumption in Academic Buildingsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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