TY - JOUR
T1 - Simulating natural ventilation in and around buildings by fast fluid dynamics
AU - Jin, Mingang
AU - Zuo, Wangda
AU - Chen, Qingyan
N1 - Funding Information:
Received 7 December 2012; accepted 22 February 2013. This work was supported by the U.S. Department of Energy through the Energy-Efficiency Building Hub program, led by Pennsylvania State University. Address correspondence to Qingyan Chen, National Air Transportation Center of Excellence for Research in the International Transport Environment (RITE), School of Mechanical Engineering, Purdue University, 585 Purdue Mall, West Lafayette, IN 47907-2088, USA. E-mail: [email protected]
PY - 2013/8/15
Y1 - 2013/8/15
N2 - Natural ventilation is a sustainable technology that can provide a well-built environment and also save energy. The application of natural ventilation to buildings requires a careful approach in the early design phase, and fast, simple design tools are greatly needed. Fast fluid dynamics (FFD) can provide useful airflow information at a speed much faster than CFD so that it is a potential design tool for natural ventilation. This study thus validated FFD with test cases representing different types of natural ventilation. The results showed that FFD was capable of predicting the main air flow feature and ventilation rate with reasonable accuracy for wind-driven or buoyancy-driven natural ventilation. FFD simulation can reflect the influence of wind direction and surrounding buildings on natural ventilation.
AB - Natural ventilation is a sustainable technology that can provide a well-built environment and also save energy. The application of natural ventilation to buildings requires a careful approach in the early design phase, and fast, simple design tools are greatly needed. Fast fluid dynamics (FFD) can provide useful airflow information at a speed much faster than CFD so that it is a potential design tool for natural ventilation. This study thus validated FFD with test cases representing different types of natural ventilation. The results showed that FFD was capable of predicting the main air flow feature and ventilation rate with reasonable accuracy for wind-driven or buoyancy-driven natural ventilation. FFD simulation can reflect the influence of wind direction and surrounding buildings on natural ventilation.
UR - http://www.scopus.com/inward/record.url?scp=84878707276&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84878707276&partnerID=8YFLogxK
U2 - 10.1080/10407782.2013.784131
DO - 10.1080/10407782.2013.784131
M3 - Article
AN - SCOPUS:84878707276
SN - 1040-7782
VL - 64
SP - 273
EP - 289
JO - Numerical Heat Transfer; Part A: Applications
JF - Numerical Heat Transfer; Part A: Applications
IS - 4
ER -