2020
DOI: 10.3390/app10207030
|View full text |Cite
|
Sign up to set email alerts
|

Thermal Comfort Applied in Hospital Environments: A Literature Review

Abstract: The predicted mean vote (PMV) is the most widely used model around the world to assess thermal comfort in indoor environments. The year 2020 marks the 50th anniversary of the PMV model and also the year in which the World Health Organization (WHO) declared the COVID-19 outbreak a pandemic. In this context, hospital environments and health professionals are at the center of attention, and a good indoor environment for those professionals to develop their activities is essential. Thus, considering the PMV model … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
16
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 37 publications
(20 citation statements)
references
References 73 publications
(96 reference statements)
0
16
0
Order By: Relevance
“…Having selected the theme, centered on the aspects related to thermal comfort in bus cabin environments, the efforts turned to define the research intention, guided by the following research questions (RQ). This methodological starting point has already been adopted by a thermal comfort study [23].…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Having selected the theme, centered on the aspects related to thermal comfort in bus cabin environments, the efforts turned to define the research intention, guided by the following research questions (RQ). This methodological starting point has already been adopted by a thermal comfort study [23].…”
Section: Methodsmentioning
confidence: 99%
“…Besides the justifications directed at the importance of thermal analyses in bus cabin environments and the need for indoor air change, this investigation pays tribute to the 50 years of the publication of Fanger's PMV-PPD model of thermal comfort [12]. This model is currently the most employed and widespread worldwide [22,23] in terms of predicting the mean vote response of thermal sensation of a large group of people (PMV) exposed to the same thermal environment [24][25][26], as well as the percentage of people dissatisfied (PPD) with said environment [27]. According to Yao, Li, and Liu [28], the PMV-PPD predictive model was incorporated into ISO standards in the 1980s and is still seen as the basis for the ISO 7730 and ASHRAE 55 standards [25].…”
Section: Introductionmentioning
confidence: 99%
“…The microclimate is a particularly important environmental aspect in the hospital setting, not only for its occupants who-being affected by health problems-are more sensitive than the general population to environmental risk factors but also because-being a workplace-it must guarantee adequate and effective protection of the operators [5][6][7]. Moreover, in the hospital environment, the microclimatic characteristics are especially significant in operating rooms (ORs), where more so than in other hospital environments, it is extremely important, and at the same time extremely difficult, to reconcile the needs of Healthcare 2022, 10, 307 2 of 9 different types of occupants, both relating to the patients' homeothermia and various components for the operating team, whose performances can be significantly affected by any thermal discomfort, with possible negative consequences for the health of patients [8][9][10].…”
Section: Introductionmentioning
confidence: 99%
“…Over the years, an extensive amount of research has been carried out on thermal comfort but mainly focused on healthy occupants. However, few studies have explored the thermal sensation of occupants in specific buildings such as medico-social institutions due to the lack of knowledge in this area [5,6]. Thermal by leadership in energy and environmental design (LEED) in healthcare facilities had a good effect on healthcare staff's level of comfort.…”
Section: Introductionmentioning
confidence: 99%