A model-based air balancing method of a ventilation system

作者：Jing, Gang; Cai, Wenjian^*; Zhai, Deqing; Liu, Shuai; Cui, Can

来源：Energy and Buildings, 2018, 174: 506-512.

DOI：10.1016/j.enbuild.2018.06.044

• Ventilation system
• Air balancing
• Model-based method
• Parameter identification
• Optimization
• Experiment

In this paper we propose a novel and easily implementable model-based air balancing method for a ventilation system. The proposed method provides a well-defined form of balancing for a ventilation system, which can be effectively solved. The method follows three procedures: (i) mathematical modeling for duct system which is based on steady-state pressure balance; (ii) model parameters identification by supervised machine learning; (iii) determination of damper positions based on the model. The performance of this method is validated through testing in a duct testbed with five terminals. The results show that the final flow rates in all terminals match with the desired values with no more than 6.8% relative error.

• 出版日期2018-9-1
• 单位南阳理工学院; 山东交通学院; 山东大学