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

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 le...

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Published in:Journal of Building Engineering
Main Author: Dahlan N.Y.; Mohamed H.; Kamaluddin K.A.; Abd Rahman N.M.; Reimann G.; Chia J.; Ilham N.I.
Format: Article
Language:English
Published: Elsevier Ltd 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118479581&doi=10.1016%2fj.jobe.2021.103460&partnerID=40&md5=055c781e2d11aa051e98dcc760f874c4
id 2-s2.0-85118479581
spelling 2-s2.0-85118479581
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
2022
Journal of Building Engineering
45

10.1016/j.jobe.2021.103460
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118479581&doi=10.1016%2fj.jobe.2021.103460&partnerID=40&md5=055c781e2d11aa051e98dcc760f874c4
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
Elsevier Ltd
23527102
English
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_facet Dahlan N.Y.; Mohamed H.; Kamaluddin K.A.; Abd Rahman N.M.; Reimann G.; Chia J.; Ilham N.I.
author_sort Dahlan N.Y.; Mohamed H.; Kamaluddin K.A.; Abd Rahman N.M.; Reimann G.; Chia J.; Ilham N.I.
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
publishDate 2022
container_title Journal of Building Engineering
container_volume 45
container_issue
doi_str_mv 10.1016/j.jobe.2021.103460
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118479581&doi=10.1016%2fj.jobe.2021.103460&partnerID=40&md5=055c781e2d11aa051e98dcc760f874c4
description 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
publisher Elsevier Ltd
issn 23527102
language English
format Article
accesstype
record_format scopus
collection Scopus
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