2019
DOI: 10.1016/j.enbuild.2018.11.019
|View full text |Cite
|
Sign up to set email alerts
|

Investigation of comfort temperature and thermal adaptation for patients and visitors in Malaysian hospitals

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
35
1

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 74 publications
(40 citation statements)
references
References 37 publications
3
35
1
Order By: Relevance
“…Thermal comfort temperature is ranging between 25.3ºC and 25.5ºC in Malaysia. The measurements conducted on hospital buildings in Malaysia show that between the indoor comfort temperature and running mean outdoor temperature is ranging from 27ºC-31ºC [15]. Thus, the thermal discomfort in those buildings is undeniable.…”
Section: Results S and Discussionmentioning
confidence: 99%
“…Thermal comfort temperature is ranging between 25.3ºC and 25.5ºC in Malaysia. The measurements conducted on hospital buildings in Malaysia show that between the indoor comfort temperature and running mean outdoor temperature is ranging from 27ºC-31ºC [15]. Thus, the thermal discomfort in those buildings is undeniable.…”
Section: Results S and Discussionmentioning
confidence: 99%
“…The time disparities did not lead to uncertainties in weather conditions because of the consistent hot and humid climate experienced throughout the year. The mean annual outdoor air temperature and relative humidity (RH) were reported as 28 ± 2 • C and 80 ± 7%, respectively [36]. The measurement periods are limited to 09:30-13:30, 07:30-09:30, and 16:00-18:00 based on different locations that will be further describe in Section 2.3.…”
Section: Measurement Sites and Periodsmentioning
confidence: 99%
“…The reported respondents' clothing in the questionnaire surveys were converted into numerical values, with reference to ASHRAE Standard 55-2013 [27] and ISO 7703:2005 [28]. In order to reduce the impact of outliers in the database, a binning method, which is common in comfort research [29][30][31][32], was adopted by taking the weighted averages for every half-degree-Celsius bin. Figure 5 illustrates the linear regression plots between the average clothing value and the indoor operative temperature and outdoor temperature respectively for the summer period.…”
Section: Investigation Of Influence Of Indoor Operative Temperature Amentioning
confidence: 99%