A model-based air balancing method of a ventilation system

被引：30

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

页码：506 / 512

页数：7

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