Experimental analysis of model predictive control for an energy efficient building heating system

被引:578
作者
Siroky, Jan [1 ]
Oldewurtel, Frauke [2 ]
Cigler, Jiri [3 ]
Privara, Samuel [3 ]
机构
[1] Univ W Bohemia, Fac Sci Appl, Dept Cybernet, Plzen 30614, Czech Republic
[2] Swiss Fed Inst Technol Zurich ETHZ, Dept Elect Engn, Automat Control Lab, Zurich, Switzerland
[3] Czech Tech Univ, Fac Elect Engn, Dept Control Engn, Prague, Czech Republic
关键词
Building heating system; Energy savings; Model predictive control; Optimization; System identification; STORAGE;
D O I
10.1016/j.apenergy.2011.03.009
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
Low energy buildings have attracted lots of attention in recent years. Most of the research is focused on the building construction or alternative energy sources. In contrary, this paper presents a general methodology of minimizing energy consumption using current energy sources and minimal retrofitting, but instead making use of advanced control techniques. We focus on the analysis of energy savings that can be achieved in a building heating system by applying model predictive control (MPC) and using weather predictions. The basic formulation of MPC is described with emphasis on the building control application and tested in a two months experiment performed on a real building in Prague, Czech Republic. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3079 / 3087
页数:9
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