Optimization Control of Ice Storage Air-conditioning System

被引:1
|
作者
Wu, Ting [1 ]
Wu, Gang [1 ]
Bao, Zhejing [1 ]
Yan, Wenjun [1 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
来源
ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES, PTS 1-3 | 2013年 / 655-657卷
关键词
Ice Storage Air-conditioning System; Improved Particle Swarm Optimization Algorithm; Chiller-priority; Ice-storage-priority;
D O I
10.4028/www.scientific.net/AMR.655-657.1492
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Ice storage air-conditioning system can bring benefits to power supplier and consumers for its advantage of shifting power consumption at peak hours during day to the off-peak hours at night. In this paper, we adopted an improved particle swarm optimization algorithm to develop an optimal control strategy for ice storage air-conditioning system with the aim of minimizing operation cost subject to various operational constrains. Comparing with the usual chiller-priority and ice-storage-priority control strategy, the proposed control scheme can not only meet the building cooling load but also achieve the minimum operation cost.
引用
收藏
页码:1492 / 1495
页数:4
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