Open AccessAssessment of the ventilation in long-term care institutions in computational fluid dynamics
Author(s) -
Yi-Wen Tu,
Chia-Ti Heather Tseng,
Jia-Kun Chen,
Tsu-I. Tseng
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/609/3/032023
Subject(s) - sick building syndrome , indoor air quality , ventilation (architecture) , computational fluid dynamics , air quality index , term (time) , population , environmental science , medicine , indoor air , quality (philosophy) , outbreak , intensive care medicine , environmental health , environmental engineering , meteorology , engineering , geography , physics , quantum mechanics , philosophy , epistemology , virology , aerospace engineering
Taiwan has entered aged society, the elderly are more and more dependent on long-term care institutions. Furthermore, the subjects for long-term care institutions in Taiwan are the elderly population and disabilities who are susceptible to the effects of indoor air quality. If people stay in the space with such poor indoor air quality, they may get sick building syndrome (SBS), allergy, and other respiratory diseases. The poor ventilation could make the disease worse and increase the probability of disease outbreaks. The purpose of this study is to investigate to the benefit to control the indoor air quality in a room and to give a solution to indoor air quality (IAQ). On the other hand, we used software called computational fluid dynamics (CFD) to simulate a suitable ventilation strategy. We aim at investigating the performance of decrease carbon dioxide (CO 2 ) concentration and other indoor air quality indicators and making an approach to the correlation between indoor air quality and flow movement.