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
Assessment of single-sided natural ventilation driven by buoyancy forces through variable window configurations
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论文类型:期刊论文
发表时间:2017-03-15
发表刊物:ENERGY AND BUILDINGS
收录刊物:SCIE、EI
卷号:139
页面范围:762-779
ISSN号:0378-7788
关键字:Buoyancy force; CFD; Natural ventilation; Window configuration
摘要:Natural ventilation has great potential to create desirable indoor air quality and reduce energy consumption in buildings. Accurately modeling the windows of buildings is important to quantify airflow in single-sided natural ventilation. However, a simplification of real windows into rectangular openings has been widely applied in published literature, which seriously affects predictions of airflow through real windows. This investigation numerically evaluates the performances of real windows in the case of buoyancy-driven, single-sided ventilation. Several typical windows used in buildings are analyzed. The Reynolds-averaged Navier-Stokes (RANS) model and k-omega turbulence model are combined to solve airflow characteristics inside and outside the building. The results reveal that the computational fluid dynamics (CFD) model is sensitive to computational domain sizes and boundary conditions, while the sensitivities for different window configurations are different. The ventilation rates and thermal profiles inside the building varied for each window type, although the open window areas are almost identical. According to the comparison of CFD and analytical methods, it was found that the specification of constant discharge coefficients is no longer suitable to estimate the ventilation rates through real windows, and further investigations are needed to find better estimates of the coefficients for a particular window configuration. (C) 2017 Elsevier B.V. All rights reserved.