Predictive Control for Thermal Comfort and Energy Efficiency in a Direct Expansion Air Conditioning System

被引：0
|
作者：
Mei, Jun [1 ]
Zhu, Bing [1 ]
Xia, Xiaohua [1 ]
机构：
[1] Univ Pretoria, Ctr New Energy Syst, Dept Elect Elect & Comp Engn, ZA-0028 Pretoria, South Africa
来源：
2015 CHINESE AUTOMATION CONGRESS (CAC) | 2015年
关键词：
Temperature and humidity; model predictive control; PMV index; DX A/C system; TEMPERATURE; MANAGEMENT; HUMIDITY; STRATEGY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Nowadays, indoor thermal comfort relates closely to both working efficiency of users and energy efficiency of facilities. To achieve an optimal trade-off between working efficiency and energy efficiency, in this paper, a hierarchical model predictive control is proposed for a direct expansion air conditioning (DX A/C) system to control the indoor thermal comfort and energy efficiency simultaneously. The proposed controller is composed by an upper layer optimization to search for the optimal set points, and a lower layer feedback controller such that the optimal set points can be tracked. It can be demonstrated by simulation results that, with the proposed control technique, the closed-loop direct expansion air conditioning system is capable of achieving indoor thermal comfort and energy efficiency simultaneously.
引用
收藏
页码：264 / 269
页数：6
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