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Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances

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dc.citedby6
dc.contributor.authorDahlan N.Y.en_US
dc.contributor.authorMohamed H.en_US
dc.contributor.authorKamaluddin K.A.en_US
dc.contributor.authorAbd Rahman N.M.en_US
dc.contributor.authorReimann G.en_US
dc.contributor.authorChia J.en_US
dc.contributor.authorIlham N.I.en_US
dc.contributor.authorid24483200900en_US
dc.contributor.authorid57136356100en_US
dc.contributor.authorid57211079251en_US
dc.contributor.authorid57226748619en_US
dc.contributor.authorid52864425300en_US
dc.contributor.authorid57322837000en_US
dc.contributor.authorid57190286773en_US
dc.date.accessioned2023-05-29T09:42:20Z
dc.date.available2023-05-29T09:42:20Z
dc.date.issued2022
dc.descriptionAir conditioning; Classification (of information); Hospitals; Large dataset; Linear regression; Stars; Benchmarking models; Energy; Energy benchmarking; Energy performance; Energy star; Energy star score; Energy-use intensities; Hospital buildings; Large datasets; Malaysia; Benchmarkingen_US
dc.description.abstractThe hospital building's operation can be symbolised as high energy usage with different services provision and facilities. The energy performances for hospital buildings in Malaysia are often quantified using a simple Building Energy Intensity (BEI) as the indicator. However, this method has less accuracy on the building's performance due to complex energy systems and different sizes for hospital-built environments. Hereof, this study aims to establish an energy benchmarking indicator for government hospitals in Malaysia using the Energy Star score method. The actual large dataset of hospitals samples has been quantified, scrutinised and optimised using the multiple linear regression (MLR) analysis to identify specific parameters affecting the energy use. The proposed model found that the final output result had shown a good fit for all hospital datasets. Further classifications were conducted on hospitals according to their energy score and air-conditioned area (ACA) for ranking comparison and assessment. Subsequently, from the same benchmarking model, an energy benchmarking calculator was developed in order to assist hospitals in automatically assessing their energy performance and labelling. Therefore, better energy management practices and decisions may be suggested for the Malaysian hospital buildings' continuous improvement. The novelties for this study are the formulated benchmarking models by optimising significant parameters from the actual large dataset of Malaysian hospitals and the developed benchmarking calculator for the regulator and hospital use. � 2021 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo103460
dc.identifier.doi10.1016/j.jobe.2021.103460
dc.identifier.scopus2-s2.0-85118479581
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85118479581&doi=10.1016%2fj.jobe.2021.103460&partnerID=40&md5=055c781e2d11aa051e98dcc760f874c4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27300
dc.identifier.volume45
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleJournal of Building Engineering
dc.titleEnergy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performancesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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