A model-based air balancing method of a ventilation system

被引：28
|
作者：
Jing, Gang [1 ]
Cai, Wenjian [2 ]
Zhai, Deqing [2 ]
Liu, Shuai [3 ]
Cui, Can [2 ]
机构：
[1] Shandong Jiaotong Univ, Sch Tansportat & Logist Engn, Jinan 250023, Shandong, Peoples R China
[2] Nanyang Technol Univ, EXQUISITUS, Ctr E City, Sch Elect & Elect Engn, 50 Nanyang Ave, Singapore 639798, Singapore
[3] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China
来源：
ENERGY AND BUILDINGS | 2018年 / 174卷
基金：
新加坡国家研究基金会;
关键词：
Ventilation system; Air balancing; Model-based method; Parameter identification; Optimization; Experiment; PREDICTIVE CONTROL; ALGORITHMS;
D O I：
10.1016/j.enbuild.2018.06.044
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
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. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码：506 / 512
页数：7
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