Factor impacts and target setting of energy consumption in Thailand's hospital building
Copyright © 2018, AIDIC Servizi S.r.l. This article analysed the factor impacts on the energy usage of hospitals in Thailand by investigating on 14 hospitals, which were accountable for about 7 % of the energy usage of all hospitals in Thailand. Hospital buildings utilized electricity as high as 90...
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th-cmuir.6653943832-584132018-09-05T04:23:45Z Factor impacts and target setting of energy consumption in Thailand's hospital building Det Damrongsak Wongkot Wongsapai Nattanee Thinate Chemical Engineering Copyright © 2018, AIDIC Servizi S.r.l. This article analysed the factor impacts on the energy usage of hospitals in Thailand by investigating on 14 hospitals, which were accountable for about 7 % of the energy usage of all hospitals in Thailand. Hospital buildings utilized electricity as high as 90 % of all the entire energy usage due to medical electric equipment and various electric systems in the hospitals. Multiple linear regression has been executed to find the relationship between electrical energy consumption and various essential variables. As a result, the developed model could be used to forecast energy consumption, and find which factor has the most impact on energy consumption in hospitals. 2018-09-05T04:23:45Z 2018-09-05T04:23:45Z 2018-01-01 Journal 22839216 2-s2.0-85051418148 10.3303/CET1870265 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85051418148&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58413 |
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Chemical Engineering Det Damrongsak Wongkot Wongsapai Nattanee Thinate Factor impacts and target setting of energy consumption in Thailand's hospital building |
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Copyright © 2018, AIDIC Servizi S.r.l. This article analysed the factor impacts on the energy usage of hospitals in Thailand by investigating on 14 hospitals, which were accountable for about 7 % of the energy usage of all hospitals in Thailand. Hospital buildings utilized electricity as high as 90 % of all the entire energy usage due to medical electric equipment and various electric systems in the hospitals. Multiple linear regression has been executed to find the relationship between electrical energy consumption and various essential variables. As a result, the developed model could be used to forecast energy consumption, and find which factor has the most impact on energy consumption in hospitals. |
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Det Damrongsak Wongkot Wongsapai Nattanee Thinate |
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Det Damrongsak Wongkot Wongsapai Nattanee Thinate |
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Det Damrongsak |
title |
Factor impacts and target setting of energy consumption in Thailand's hospital building |
title_short |
Factor impacts and target setting of energy consumption in Thailand's hospital building |
title_full |
Factor impacts and target setting of energy consumption in Thailand's hospital building |
title_fullStr |
Factor impacts and target setting of energy consumption in Thailand's hospital building |
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Factor impacts and target setting of energy consumption in Thailand's hospital building |
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factor impacts and target setting of energy consumption in thailand's hospital building |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85051418148&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58413 |
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