个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:上海交通大学
学位:博士
所在单位:土木工程系
学科:供热、供燃气、通风及空调工程. 制冷及低温工程
办公地点:综合实验4号楼
联系方式:0411-84706407
电子邮箱:sgwang@dlut.edu.cn
Prediction of airflow rate through a ventilated wall module
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论文类型:期刊论文
发表时间:2014-10-01
发表刊物:ENERGY AND BUILDINGS
收录刊物:SCIE、EI
卷号:82
页面范围:651-659
ISSN号:0378-7788
关键字:Ventilated wall module; Airflow rate; Flow resistance; Correlation analysis; CFD; Measurement
摘要:When outdoor air becomes polluted by airborne particles and noise, it is necessary to use a new type of outdoor air intake device that is able to clean the extracted air and insulate the noise. One possibility is to adopt a ventilated wall module that contains a porous filtration unit. To use solar irradiation, a solar channel is attached to the ventilated wall module to heat the air and to propel the air movement. The driving force Of air ventilation can be the stack pressure, the wind pressure, a combination of the two, or external fans. This investigation developed a lumped correlation analysis model to predict the volumetric flow rates versus the driving pressure. The correlation model was established based on energy conservation and pressure balance laws. In addition, the computational fluid dynamics (CFD) modeling was also implemented to predict the ventilated wall performance. To validate both types of models, a ventilated wall prototype model was constructed in the lab. Both pressures and induced volumetric flow rates were measured by a high-precision micro-manometer. It is found that the correlation analysis model obtained results in reasonably good agreement with the experimental data, which suffices for engineering design. (C) 2014 Elsevier B.V. All rights reserved.