文献类型：期刊文献

英文题名：Long-term prediction of dynamic distribution of passive contaminant in complex recirculating ventilation system

作者：Shao, Xiaoliang[1];Li, Xianting[2];Ma, Xiaojun[3];Zhu, Fenfei[2]

第一作者：Shao, Xiaoliang

通讯作者：Li, XT[1]

机构：[1]Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China;[2]Tsinghua Univ, Sch Architecture, Dept Bldg Sci, Beijing 100084, Peoples R China;[3]Beijing Union Univ, Coll Biochem Engn, Beijing 100023, Peoples R China

第一机构：Univ Sci & Technol Beijing, Sch Civil & Resource Engn, Beijing 100083, Peoples R China

通讯机构：[1]corresponding author), Tsinghua Univ, Sch Architecture, Dept Bldg Sci, Beijing 100084, Peoples R China.

年份：2017

卷号：121

起止页码：49-66

外文期刊名：BUILDING AND ENVIRONMENT

收录：;EI(收录号：20172203701484);Scopus(收录号：2-s2.0-85019605983);WOS:【SCI-EXPANDED(收录号:WOS:000404314700005)】；

基金：This study is supported by the National Natural Science Foundation of China (Grant No.51508299, 51478468 and 51578065), Fundamental Research Funds for the Central Universities (Grant No. FRF-TP-16-006A1), the National Basic Research Program of China (973 Program: Grant No. 2015CB058003) and the Postdoctoral Science Special Foundation of China (Grant No. 2015T80092).

语种：英文

外文关键词：Dynamic contaminant distribution; Long-term prediction; Numerical simulation; Ventilation system; Air recirculation; Indoor air quality

摘要：Recirculating ventilation systems may act as carriers of hazardous substances. The long-term prediction of the dynamic distribution of contaminants in this type of system is crucial for the evaluation of pollution and further design of more efficient ventilation systems. However, few convenient methods can predict the dynamic distribution of contaminants, because the dynamic supply air concentrations resulting from air recirculation are unknown, especially over long time periods, such as months or years. In this study, a novel method is proposed to predict the dynamic distribution of contaminants over a long time period in a complex recirculating ventilation system, where an algebraic expression based on the indices of the response coefficient is applied to account for the relationship between the contaminant distribution inside the room and various boundary conditions. The method is established by obtaining comprehensive mathematical descriptions of the relationships between concentrations of contaminants in the air handling units, supply air inlets, return air outlets, and fresh air. Hourly supply air concentrations can be easily obtained by solving a matrix, and the dynamic distribution of contaminants is then calculated using an expression based on the response coefficient. The reliability of the proposed method is analyzed by both experimental and numerical methods. A simplified method is suggested to accelerate the time-consuming calculation of the response coefficient. The proposed method is beneficial for predicting three-dimensional dynamic distribution of contaminants in complex ventilation systems with an acceptable accuracy and time cost. (C) 2017 Elsevier Ltd. All rights reserved.