Adaptive optimal control model for building cooling and heating sources

被引：22

作者：

Yan, Yongmin ^{[1
,2
]}

Zhou, Jin ^{[1
]}

Lin, Yaolin ^{[3
]}

Yang, Wei ^{[1
]}

Wang, Ping ^{[1
]}

Zhang, Guoqiang ^{[1
]}

机构：

[1] Hunan Univ, Coll Civil Engn, Changsha 410082, Hunan, Peoples R China

[2] S China Univ Technol, Sch Automot Engn, Guangzhou 510640, Guangdong, Peoples R China

[3] Univ Ontario, Inst Technol, Fac Engn & Appl Sci, Oshawa, ON L1H 7K4, Canada

来源：

ENERGY AND BUILDINGS | 2008年 / 40卷 / 08期

关键词：

adaptive control; cooling and heating sources; genetic algorithm; global optimization; energy consumption;

D O I：

10.1016/j.enbuild.2008.01.003

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

An adaptive optimal control model for building cooling and heating sources is presented with the aim of achieving global optimization and satisfying the requirements of time and accuracy in HVAC system control. The adaptive optimal control model includes the optimal control model, parameter identification and optimization algorithm. First, the penalty function is constructed to transform constrained optimization problem into unconstrained optimization problem, and then, the fuzzy self-tuning forgetting factor method is developed for parameter identification. In the end, the genetic algorithm (GA) is used to find the optimum values for the discrete and continuous variables. Optimization is applied for the building cooling source system in a publishing house located in Changsha, China. The optimization is expected to reduce the energy consumption of the cooling source system by 7%. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：1394 / 1401

页数：8

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