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Assessment of Thermal Comfort in a General Hospital in Winter Using Predicted Mean Vote (PMV)

Predicted Mean Vote(PMV)를 이용한 겨울철 종합병원의 실내 온·열 환경의 평가

Lee, Boram;Kim, Jeonghoon;Kim, KyooSang;Kim, Hyejin;Lee, Kiyoung
이보람;김정훈;김규상;김혜진;이기영

  • Received : 2015.06.05
  • Accepted : 2015.11.20
  • Published : 2015.12.28

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 ($CO_2$) 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 $CO_2$ 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 $CO_2$ 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.

Keywords

Carbon dioxide;hospital comfort;indoor comfort;predicted mean vote

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Acknowledgement

Grant : 융합기술을 활용한 건강한 생활환경과 에너지 통합관리 시스템의 개발

Supported by : 보건복지부