DocumentCode :
2941645
Title :
Identification and model selection of building models
Author :
Zacekova, Eva ; Vana, Zdenek
Author_Institution :
Dept. of Control Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic
fYear :
2012
fDate :
3-6 July 2012
Firstpage :
1512
Lastpage :
1517
Abstract :
Besides retrofitting, modernization and new ways of construction of the buildings, the cheaper and recently a very popular approach how to optimize energy consumption is to employ better control algorithms for the buildings. Predictive control has proven to be a strategy useful in many industries and became a suitable option for the building sector as well. The main bottleneck of this approach is a need for a fine model. There exist a number of building models and identification approaches. This paper provides a brief survey of the building modeling approaches and discusses their properties and applicability for the predictive control. Having a number of potential models at hand, the procedure of the model selection suitable for predictive control is presented. Finally, the performance of the model selection procedure is examined in a two zone building. The results are then presented and the conclusions drown.
Keywords :
building management systems; energy consumption; identification; predictive control; building model identification; building model selection; energy consumption optimization; predictive control; two zone building; Buildings; Computational modeling; Data models; Heat transfer; Mathematical model; Predictive models; Temperature measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-2530-1
Electronic_ISBN :
978-1-4673-2529-5
Type :
conf
DOI :
10.1109/MED.2012.6265853
Filename :
6265853
Link To Document :
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