TY - GEN
T1 - Evaluation of the annual stack ventilation potential in low-rise atrium buildings based on energyplus and openfoam
AU - Zhang, Mingjie
AU - Lyu, Tong
AU - Zhang, Jianshun
AU - Gao, Zhi
AU - Ji, Guohua
N1 - Publisher Copyright:
© 2020 16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This study designed a workflow for analyzing the annual stack ventilation potential in low-rise atrium buildings. The workflow consists of three steps. The first is to use building performance simulation (BPS) tools to generate a raw ventilation schedule and to build a temperature database of concerned zones and surfaces. The second is to calculate the air flow rate under different boundary conditions obtained from the last step by using computational fluid dynamics (CFD) tools. The third is to repeat step one to refine the ventilation schedule, based on which the daily stack ventilation potential could be determined. The workflow is recommended to be realized by combining Honeybee (EnergyPlus) and Butterfly (OpenFOAM) that are embedded in Rhino_Grasshopper. A case study using a two-story atrium building in Nanjing was conducted. The results show that April has the most high-potential days, which can provide a reference for the guidance of atrium use.
AB - This study designed a workflow for analyzing the annual stack ventilation potential in low-rise atrium buildings. The workflow consists of three steps. The first is to use building performance simulation (BPS) tools to generate a raw ventilation schedule and to build a temperature database of concerned zones and surfaces. The second is to calculate the air flow rate under different boundary conditions obtained from the last step by using computational fluid dynamics (CFD) tools. The third is to repeat step one to refine the ventilation schedule, based on which the daily stack ventilation potential could be determined. The workflow is recommended to be realized by combining Honeybee (EnergyPlus) and Butterfly (OpenFOAM) that are embedded in Rhino_Grasshopper. A case study using a two-story atrium building in Nanjing was conducted. The results show that April has the most high-potential days, which can provide a reference for the guidance of atrium use.
KW - Natural ventilation potential
KW - Numerical simulation
KW - Ventilation schedule
KW - Workflow
UR - http://www.scopus.com/inward/record.url?scp=85101630687&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85101630687&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85101630687
T3 - 16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020
BT - 16th Conference of the International Society of Indoor Air Quality and Climate
PB - International Society of Indoor Air Quality and Climate
T2 - 16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020
Y2 - 1 November 2020
ER -