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
Numerical investigation of single-sided natural ventilation driven by buoyancy and wind through variable window configurations
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论文类型:期刊论文
发表时间:2018-06-01
发表刊物:ENERGY AND BUILDINGS
收录刊物:SCIE、EI
卷号:168
页面范围:147-164
ISSN号:0378-7788
关键字:Buoyancy; CFD; Combined forces; POD; Natural ventilation; Wind
摘要:Natural ventilation has generally remained the preferred choice for improving thermal comfort and saving energy related to the built environment. To best represent the performance of natural ventilation, the style of windows used to exchange indoor and outdoor air become rather important. However, the knowledge of real window behavior is still extremely limited, especially in terms of natural ventilation driven by the combination of buoyancy and wind forces. Therefore, this study investigated single-sided natural ventilation driven by buoyancy and wind through variable windows. The Reynolds-averaged Navier-Stokes (RANS) model and k-omega turbulence model were applied to solve airflow characteristics inside and outside the building, and the ventilation rates for various windows produced by the combined forces were compared using computational fluid dynamics (CFD) and proper orthogonal decomposition (POD) methods. The results revealed that the ventilation rate generally increased with increasing wind speed, except for several specific windward conditions where buoyancy and wind presented as counteracting forces. The dominant force in the combined buoyancy and wind-driven ventilation was highly impacted by wind speed and direction. According to the comparison of indoor thermal profiles for various window cases, natural ventilation driven by different forces presented obvious differences although the open areas of windows were identical. Therefore, recommendations are provided for implementing specific window configurations that are compatible with different weather conditions in practice. (C) 2018 Elsevier B.V. All rights reserved.