TY - JOUR
T1 - A holistic approach to natural ventilation studies
AU - Liu, Sumei
AU - Chen, Qingyan
N1 - Funding Information:
We would like to thank Prof. Chen’s current and previous PhD students for their contributions: Guilherme Carrilho da Graça, Yi Jiang, Dayi Lai, Haojie Wang, and Chaobin Zhou, as well as Jing Hou and Wuxuan Pan. The studies were partially supported by the National Key R&D Program of the Ministry of Science and Technology, China, on “Green Buildings and Building Industrialization” through Grant No. 2018YFC0705300 and by the National Natural Science Foundation of China through Grant No. 51678395.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/10/23
Y1 - 2019/10/23
N2 - Natural ventilation in buildings can increase thermal comfort and reduce air-conditioning use. However, it is very challenging today to accurately determine the natural ventilation rate through a building. This paper outlines a method to calculate the wind distribution around a building site from information obtained at a meteorological station miles away. This paper also discusses the influence of surrounding buildings on the wind flow around a target building at the site, and presents various geometrical models. In addition, the use of hour-by-hour wind velocity typically available from a meteorological station may give rise to some errors because of the large time step. A correlation method can be employed to convert the hour-by-hour wind velocity to minute-by-minute velocity. One can then use CFD to calculate the airflow around the building and wind-driven cross ventilation through an apartment simultaneously. However, prediction of single-sided natural ventilation is difficult because of the bi-directional flow at the room opening and the complex flow around buildings. This paper presents an empirical model that can predict the mean and fluctuating ventilation rates due to the pulsating flow and eddy penetration of wind-driven single-sided ventilation in buildings with three types of windows. One must use the correct strategy in a building in order to achieve the maximum benefits of natural ventilation.
AB - Natural ventilation in buildings can increase thermal comfort and reduce air-conditioning use. However, it is very challenging today to accurately determine the natural ventilation rate through a building. This paper outlines a method to calculate the wind distribution around a building site from information obtained at a meteorological station miles away. This paper also discusses the influence of surrounding buildings on the wind flow around a target building at the site, and presents various geometrical models. In addition, the use of hour-by-hour wind velocity typically available from a meteorological station may give rise to some errors because of the large time step. A correlation method can be employed to convert the hour-by-hour wind velocity to minute-by-minute velocity. One can then use CFD to calculate the airflow around the building and wind-driven cross ventilation through an apartment simultaneously. However, prediction of single-sided natural ventilation is difficult because of the bi-directional flow at the room opening and the complex flow around buildings. This paper presents an empirical model that can predict the mean and fluctuating ventilation rates due to the pulsating flow and eddy penetration of wind-driven single-sided ventilation in buildings with three types of windows. One must use the correct strategy in a building in order to achieve the maximum benefits of natural ventilation.
UR - http://www.scopus.com/inward/record.url?scp=85074401537&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/609/2/022002
DO - 10.1088/1757-899X/609/2/022002
M3 - Conference article
AN - SCOPUS:85074401537
SN - 1757-8981
VL - 609
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 2
M1 - 022002
T2 - 10th International Conference on Indoor Air Quality, Ventilation and Energy Conservation in Buildings, IAQVEC 2019
Y2 - 5 September 2019 through 7 September 2019
ER -