4.7 Article

A methodology for predicting particle penetration factor through cracks of windows and doors for actual engineering application

期刊

BUILDING AND ENVIRONMENT
卷 47, 期 -, 页码 339-348

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2011.07.004

关键词

Indoor air quality; Gravitational settling; Inertial impaction; Air leakage area; Outdoor; Air infiltration

资金

  1. National Natural Science Foundation of China [51078216]
  2. Tsinghua University Initiative
  3. Natural Sciences and Engineering Research Council of Canada

向作者/读者索取更多资源

Epidemiologic evidences have shown a strong relationship between exposure to outdoor particles and adverse impact on human health. A large amount of outdoor particles may penetrate into the indoor environments, where people spend about 90% of their life time. Therefore, predicting particle penetration into buildings could help to quantify the indoor exposure to particles with an outdoor origin and thus to develop effective strategies to remediate the exposure. However, there are few methodologies of particle penetration prediction for actual engineering application. In this paper, we present a methodology for predicting the particle penetration factor for real buildings by estimating the geometries of the cracks in the building envelopes according to the American Society of Heating, Refrigeration, Air-Conditioning Engineers (ASHRAE) Handbook. In addition, the effect of inertial impaction was considered. Furthermore, the effect of gravitational settling was neglected for vertical leakages. Two field measurements showed that the proposed methodology was effective in predicting the particle penetration factor for the test rooms. For particles in the range of 0.5-6 mu m in diameter, the experimental data of penetration factors vary from 0.2 to 1, which match well with the predicted data. Generally speaking, this methodology can be used to aid the engineers or designers to calculate the particle penetration in actual engineering practices or designs. In addition, a sensitivity analysis was conducted to investigate the influencing factors. (C) 2011 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据