Abstract
Inhomogeneous airflow distribution is common in air-conditioned rooms, especially the large open spaces. To evaluate the thermal comfort of such space, or the control performance of the Heating, Ventilation, and Air Conditioning (HVAC) systems in an efficient way, one will need a fast prediction method to simulate the airflow and temperature distribution. This paper proposes a discrete state-space method, called state-space fluid dynamics (SFD), for the fast indoor airflow simulation. To handle time-varying velocity and temperature field, SFD converts all the governing equations of fluid dynamics into the form of a state-space model. Four typical cases are selected to evaluate both the accuracy and speed of SFD, compared with fast fluid dynamics (FFD), which is another fast airflow simulation program. Results show that SFD is capable of achieving faster-than-real-time airflow simulation with an accuracy similar to FFD. The computing time of SFD is longer than FFD when the time step size is the same. However, SFD can generally produce better results than FFD when the time step size is larger, which allows SFD run faster than FFD.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 184-194 |
| Number of pages | 11 |
| Journal | Building and Environment |
| Volume | 126 |
| DOIs | |
| State | Published - Dec 1 2017 |
| Externally published | Yes |
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Keywords
- CFD
- FFD
- Real-time simulation
- State-space fluid dynamics (SFD)
- Transient air flow simulation
ASJC Scopus subject areas
- Environmental Engineering
- Civil and Structural Engineering
- Geography, Planning and Development
- Building and Construction
Cite this
A state-space method for real-time transient simulation of indoor airflow. / Wang, Qiujian; Pan, Yiqun; Zhu, Mingya; Huang, Zhizhong; Tian, Wei; Zuo, Wangda; Han, Xu; Xu, Peng.
In: Building and Environment, Vol. 126, 01.12.2017, p. 184-194.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A state-space method for real-time transient simulation of indoor airflow
AU - Wang, Qiujian
AU - Pan, Yiqun
AU - Zhu, Mingya
AU - Huang, Zhizhong
AU - Tian, Wei
AU - Zuo, Wangda
AU - Han, Xu
AU - Xu, Peng
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Inhomogeneous airflow distribution is common in air-conditioned rooms, especially the large open spaces. To evaluate the thermal comfort of such space, or the control performance of the Heating, Ventilation, and Air Conditioning (HVAC) systems in an efficient way, one will need a fast prediction method to simulate the airflow and temperature distribution. This paper proposes a discrete state-space method, called state-space fluid dynamics (SFD), for the fast indoor airflow simulation. To handle time-varying velocity and temperature field, SFD converts all the governing equations of fluid dynamics into the form of a state-space model. Four typical cases are selected to evaluate both the accuracy and speed of SFD, compared with fast fluid dynamics (FFD), which is another fast airflow simulation program. Results show that SFD is capable of achieving faster-than-real-time airflow simulation with an accuracy similar to FFD. The computing time of SFD is longer than FFD when the time step size is the same. However, SFD can generally produce better results than FFD when the time step size is larger, which allows SFD run faster than FFD.
AB - Inhomogeneous airflow distribution is common in air-conditioned rooms, especially the large open spaces. To evaluate the thermal comfort of such space, or the control performance of the Heating, Ventilation, and Air Conditioning (HVAC) systems in an efficient way, one will need a fast prediction method to simulate the airflow and temperature distribution. This paper proposes a discrete state-space method, called state-space fluid dynamics (SFD), for the fast indoor airflow simulation. To handle time-varying velocity and temperature field, SFD converts all the governing equations of fluid dynamics into the form of a state-space model. Four typical cases are selected to evaluate both the accuracy and speed of SFD, compared with fast fluid dynamics (FFD), which is another fast airflow simulation program. Results show that SFD is capable of achieving faster-than-real-time airflow simulation with an accuracy similar to FFD. The computing time of SFD is longer than FFD when the time step size is the same. However, SFD can generally produce better results than FFD when the time step size is larger, which allows SFD run faster than FFD.
KW - CFD
KW - FFD
KW - Real-time simulation
KW - State-space fluid dynamics (SFD)
KW - Transient air flow simulation
UR - http://www.scopus.com/inward/record.url?scp=85041411672&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041411672&partnerID=8YFLogxK
U2 - 10.1016/j.buildenv.2017.09.032
DO - 10.1016/j.buildenv.2017.09.032
M3 - Article
AN - SCOPUS:85041411672
VL - 126
SP - 184
EP - 194
JO - Building and Environment
JF - Building and Environment
SN - 0360-1323
ER -