Intelligent Control of Heating, Ventilating and Air Conditioning Systems

被引：0
|
作者：
Kie, Patrick Low Tiong
Theng, Lau Bee
机构：
来源：
ADVANCES IN NEURO-INFORMATION PROCESSING, PT II | 2009年 / 5507卷
关键词：
GLOBAL OPTIMIZATION; CHILLER SYSTEM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposed a simulation-optimization energy saving strategy for heating, ventilating and air conditioning (HVAC) systems' condenser water loop through intelligent control of single speed cooling, towers' components. An analysis of system components has showed the interactions of control variables inside the cooling towers and between the cooling tower and chillers. Based on the analysis, a model based optimization approach was developed with evolutionary computation. A simulation application demonstrated the effectiveness of the proposed strategy. This strategy call also be easily modified and applied to single speed tools in the refrigerant loops.
引用
收藏
页码：927 / 934
页数：8
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