Research on outdoor wind environment of building groups based on computer simulation

Research on outdoor wind environment of building groups based on computer simulation

Qian Yi1, Shang Tao1, Qingming Zhan1, 2, Liming Bo1, Jie Yin1, 2 

1School of urban design, Wuhan University, No.8, South Dong Hu Road Wuhan, Hubei, China
2Research Center for Digital City, Wuhan University, No.8, South Dong Hu Road Wuhan, Hubei, China

Building outdoor wind environment is closely related to indoor air quality and thermal comfort of human, directly affecting the health and quality of life of people living and the building energy consumption at the same time. Enhancing natural ventilation in summer also helps reduce air-conditioning equipment uptime, reducing air conditioning energy consumption and green building should be particularly emphasized natural ventilation. However, in the irrational layout of the buildings or the too high buildings and other factors, outdoor wind will bring no comfort of pedestrians, but also easily lead to loss of energy and increase heating energy consumption, especially in the winter. In this paper, with the careful study of local wind data, wind environment simulation and evaluation and optimized design are conducted about two cases including teaching buildings of Faculty of Engineering in Wuhan University, as well as the modern trade mart layout in Rizhao city of china by using computational fluid dynamics (CFD) technique. Research shows that: 1) Teaching buildings of Faculty of Engineering in Wuhan University have bad ventilation in summer, which cannot meet the green building standards in China. It will bring discomfort to pedestrians on the days of large wind speed in winter and need for windproof design. 2) Through wind environment simulations of modern trade mart plan in Rizhao city, planning of program two is more reasonable than program one in the ventilation by adjusting the building pattern. Using the technique of CFD simulation can guide the existing buildings renovation and architectural planning and design optimization.