Examination of thermal comfort in a hospital using PMV–PPD model

Pourshaghaghy, A.; Omidvari, Manouchehr

doi:10.1016/j.apergo.2012.03.010

Cited by 111 publications

(57 citation statements)

References 17 publications

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“…Similar results were reported by Pourshaghaghy and Omidvari (2012), who determined that PMV was higher than 0.5 in all sections of the hospital building studied, in both winter and summer seasons. Although there were no marked differences between SS, it seems that in general, SS2 displayed the poorer thermal conditions according to the data obtained (higher PMV).…”

Section: Discussionsupporting

confidence: 78%

“…At times, any or all of these populations may occupy the same space (Lomas and Giridharan, 2012). The proper setting of thermal comfort parameters provides a suitable environment for personnel (Pourshaghaghy and Omidvari, 2012). Some investigators examined the desired thermal conditions for hospital occupants, including patients and health care professionals (Fransson et al, 2007;Skoog et al, 2005).…”

mentioning

confidence: 99%

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Analytical and subjective interpretation of thermal comfort in hospitals: A case study in two sterilization services

Carvalhais

Baptista

Silva

2016

Journal of Toxicology and Environmental Health, Part A

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Section: Discussionsupporting

confidence: 78%

mentioning

confidence: 99%

Analytical and subjective interpretation of thermal comfort in hospitals: A case study in two sterilization services

Carvalhais

Baptista

Silva

2016

Journal of Toxicology and Environmental Health, Part A

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“…In building sector alone, which is responsible for almost of total energy consumption [1], the interests in energy-conscious and sustainable eco-building development have been increasingly grown to have better indoor environment and less energy consumption. As a result, there have been numerous indoor thermal environmental studies, for example indoor environment of transportation [2,3], public spaces/buildings [4][5][6], workspaces/offices [7], whole building environment [8,9], specific enclosed space [10], among many others. One common feature of these studies is about thermal comfort evaluation and assessment.…”

Section: Introductionmentioning

confidence: 99%

Numerical optimisation of thermal comfort improvement for indoor environment with occupants and furniture

Horikiri

Yao

2015

Energy and Buildings

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Indoor thermal environment of a 3-D ventilated room was studied by computational fluid dynamics to understand correlations between heat generation, ventilation velocity and thermal sensation indices. The existence of a thermal occupant was found to produce thermal plume approx stronger in magnitude than that from an unoccupied room. With second thermal occupant, there has further temperature increase of maximum , equivalent to an increase of PPD value by , for which occupants would normally feel uncomfortable.Thus, an increased flow ventilation rate ( ) would be required, in order to keep the same thermal comfort level of the room.

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“…They reported in another project that the rate of PMV in nursing station and admission ward were less than 1 (24). In their study, Pourshaghaghy et al found that the amount of PMV in some parts of the studied hospital in Kermanshah was not acceptable according to ISO defined standards for both sexes (25). On the other side, the study of Rav and Chov showed the satisfaction of 49% of the hospital staff about the thermal condition of their workplace (17).…”

Section: Official Unitsmentioning

confidence: 97%

Evaluation of Thermal Comfort in an Iranian Educational Hospital Using PMV- PPD Model

Sajedifar¹,

Mirzaei²,

Teimori-Boghsani³

et al. 2017

Biotech Health Sci

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Background: Considering the advancement of technology and application of various appliances in the workplace, one of the most significant current discussions in the industrial and nonindustrialized workplaces is thermal comfort. Hospital staff have a special status because of the diversity of people employed in hospitals and their crucial roles. Objectives: The present study aimed at investigating the staffs' thermal comfort in a hospital in Esfahan. Methods: In this cross-sectional study, Al Zahra hospital staff working in the underground floor were recruited. The sampling method was census, and 161 staff participated in the study. Data were collected by mental assessment using a questionnaire and physical measurement using wet bulb globe temperature (WBGT) machine in the summer of 2015. The predicted mean vote (PMV) and predicted percentage dissatisfied (PPD) were determined based on mental assessment or individual feeling of the staff about thermal comfort. Data management and analyses were performed using SPSS 23. Results:The results of the data analysis revealed that kitchen, laundry, and sterilization sectors had higher temperature than other units. Moreover, the results demonstrated that the offices of educational sectors and educational classes had a standard level of thermal comfort according to ASHRAE (American society of heating, refrigerating and air-conditioning engineers) Standard 55. The investigations of physical and mental PMV in every unit showed that the total index of these 2 values was 1.2 and 1.39, respectively. Conclusions: Based on the results, the units located at the underground floor needed proper design and access to natural ventilation and enough air flow to provide optimum thermal comfort based on international standards.

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Examination of thermal comfort in a hospital using PMV–PPD model

Cited by 111 publications

References 17 publications

Analytical and subjective interpretation of thermal comfort in hospitals: A case study in two sterilization services

Analytical and subjective interpretation of thermal comfort in hospitals: A case study in two sterilization services

Numerical optimisation of thermal comfort improvement for indoor environment with occupants and furniture

Evaluation of Thermal Comfort in an Iranian Educational Hospital Using PMV- PPD Model

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