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

Air 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; Benchmarking

Saved in:
Bibliographic Details
Main Authors: Dahlan N.Y., Mohamed H., Kamaluddin K.A., Abd Rahman N.M., Reimann G., Chia J., Ilham N.I.
Other Authors: 24483200900
Format: Article
Published: Elsevier Ltd 2023
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uniten.dspace-27300
record_format dspace
spelling my.uniten.dspace-273002023-05-29T17:42:21Z Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances Dahlan N.Y. Mohamed H. Kamaluddin K.A. Abd Rahman N.M. Reimann G. Chia J. Ilham N.I. 24483200900 57136356100 57211079251 57226748619 52864425300 57322837000 57190286773 Air 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; Benchmarking The 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 Ltd Final 2023-05-29T09:42:20Z 2023-05-29T09:42:20Z 2022 Article 10.1016/j.jobe.2021.103460 2-s2.0-85118479581 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118479581&doi=10.1016%2fj.jobe.2021.103460&partnerID=40&md5=055c781e2d11aa051e98dcc760f874c4 https://irepository.uniten.edu.my/handle/123456789/27300 45 103460 Elsevier Ltd Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Air 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; Benchmarking
author2 24483200900
author_facet 24483200900
Dahlan N.Y.
Mohamed H.
Kamaluddin K.A.
Abd Rahman N.M.
Reimann G.
Chia J.
Ilham N.I.
format Article
author Dahlan N.Y.
Mohamed H.
Kamaluddin K.A.
Abd Rahman N.M.
Reimann G.
Chia J.
Ilham N.I.
spellingShingle Dahlan N.Y.
Mohamed H.
Kamaluddin K.A.
Abd Rahman N.M.
Reimann G.
Chia J.
Ilham N.I.
Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances
author_sort Dahlan N.Y.
title Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances
title_short Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances
title_full Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances
title_fullStr Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances
title_full_unstemmed Energy Star based benchmarking model for Malaysian Government hospitals - A qualitative and quantitative approach to assess energy performances
title_sort energy star based benchmarking model for malaysian government hospitals - a qualitative and quantitative approach to assess energy performances
publisher Elsevier Ltd
publishDate 2023
_version_ 1806428371311132672
score 13.214268