Àá½Ã¸¸ ±â´Ù·Á ÁÖ¼¼¿ä. ·ÎµùÁßÀÔ´Ï´Ù.
KMID : 1156220150410060389
Journal of Environmental Health Sciences
2015 Volume.41 No. 6 p.389 ~ p.396
Assessment of Thermal Comfort in a General Hospital in Winter Using Predicted Mean Vote (PMV))
À̺¸¶÷:Lee Bo-Ram
±èÁ¤ÈÆ:Kim Jeong-Hoon/±è±Ô»ó:Kim Kyoo-Sang/±èÇýÁø:Kim Hye-Jin/À̱⿵:Lee Ki-Young
Abstract
Objectives: A hospital is a complex building that serves many different purposes. It has a major impact on patient¡¯s well-being as well as on the work efficiency of the hospital staff. Thermal comfort is one of the major factors in indoor comfort. The purpose of this study was to determine thermal comfort in various locations in a hospital.

Methods: Various indoor environmental conditions in a general hospital were measured in February 2014. The predicted mean vote (PMV) and carbon dioxide (CO2) concentration were measured simultaneously in the lobby, office, restaurant, and ward.

Results: The ward was the most thermally comfortable location (PMV=0.44) and the lobby was the most uncomfortable (PMV = -1.39). However, the CO2 concentration was the highest in the ward (896 ppm) and the lowest in the lobby (572 ppm). The average PMV value was the most comfortable in the ward and the lowest in the lobby. In contrast, for concentration of carbon dioxide, the highest average was in the ward and the lowest in the lobby. Due to air conditioner operation, during operating hours the PMV showed values close to 0 compared to the non-operating time. Correlation between PMV and CO2 differed by location.

Conclusion: The PMV and concentration of carbon dioxide of the hospital lobby, office, restaurant and ward varied. The relationship between PMV and carbon dioxide differed by location. Consideration of how to apply PMV and carbon dioxide is needed when evaluating indoor comfort.
KEYWORD
Carbon dioxide, hospital comfort, indoor comfort, predicted mean vote
FullTexts / Linksout information
Listed journal information
ÇмúÁøÈïÀç´Ü(KCI)