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  4. Indoor air quality diagnostic expert system for optimal improvement measures
 
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Indoor air quality diagnostic expert system for optimal improvement measures

Date Issued
2014-01-01
Author(s)
SY-YUAN KANG  
URI
https://www.scopus.com/pages/publications/84924667401
https://scholars.csmu.edu.tw/handle/123456789/23963
Abstract
The purpose of this study is to establish an assessment of the contribution of indoor air quality using measures of actual improvement. The main concept to construct a receptor model of indoor air quality improvement measures to optimize the evaluation model, in which the mass balance model to estimate the background of the experimental results of the characteristic parameters of the experimental sites. Include: increasing the amount of ventilation (VE), HEPA Filter (HE), activated carbon filter (AC) and photocatalyst filter (PC) of the air cleaner) and so on. Contribution of each measure was VE: 55.9% ∼ 79.1%, HE: 20.9% ∼ 43.4%, AC: 0.0% ∼ 0.0%, PC: 0.0% ∼ 0.7%. Improvement measures in order to increase the total heat exchanger ventilation is the best improvement measures (55.9% ∼ 79.1%); alone air purifiers according to place staff may be, when you place more staff in HE filter the best place staff fewer best when activated carbon filter.
Type
journal article
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