Grey-box Modeling for System Identification of Household Refrigerators: a Step Toward Smart Appliances

被引：0
|
作者：
Costanzo, Giuseppe Tommaso [1 ]
Sossan, Fabrizio [1 ]
Marinelli, Mattia [1 ]
Bacher, Peder [2 ]
Madsen, Henrik [2 ]
机构：
[1] Tech Univ Denmark, Ctr Elect Power & Energy, Riso Campus, DK-4000 Roskilde, Denmark
[2] Tech Univ Denmark, DTU Compute, DK-2800 Lyngby, Denmark
来源：
2013 4TH INTERNATIONAL YOUTH CONFERENCE ON ENERGY (IYCE) | 2013年
关键词：
Refrigerators; Stochastic processes; System identification; Load shifting;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper presents the grey-box modeling of a vapor-compression refrigeration system for residential applications based on maximum likelihood estimation of parameters in stochastic differential equations. Models obtained are useful in the view of controlling refrigerators as flexible consumption units, which operation can be shifted within temperature and operational constraints. Even if the refrigerators are not intended to be used as smart loads, validated models are useful in predicting units consumption. This information can increase the optimality of the management of other flexible units, such as heat pumps for space heating, in order to smooth the load factor during peak hours, enhance reliability and efficiency in power networks and reduce operational costs.
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页数：5
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