DocumentCode :
2139324
Title :
Utilization of intelligent control algorithms for thermal comfort optimization and energy saving
Author :
Nowak, Mariusz ; Urbaniak, Andrzej
Author_Institution :
Inst. of Comput. Sci., Poznan Univ. of Technol., Poznan, Poland
fYear :
2011
fDate :
25-28 May 2011
Firstpage :
270
Lastpage :
274
Abstract :
In the paper there are presented the problems of optimal control for indoor thermal comfort in buildings equipped with HVAC (Heating, Ventilation and Air Conditioning) systems. It is very important that the design of such control systems allows to minimize the energy consumption. There are discussed the results of air-conditioning system simulation and there is given an example of simulation model of a room and mathematical model of thermal comfort. Fuzzy control algorithms and model predictive control algorithms are used in the hierarchical structure of climate comfort control system. The tuning of predictive controllers is discussed in the paper, too.
Keywords :
HVAC; fuzzy control; intelligent control; minimisation; optimal control; predictive control; HVAC; climate comfort control system; energy consumption minimization; energy saving; fuzzy control algorithm; heating-ventilation-and-air conditioning system; indoor thermal comfort; intelligent control algorithm; model predictive control algorithm; optimal control; thermal comfort optimization; Atmospheric modeling; Indexes; Mathematical model; Optimization; Prediction algorithms; Predictive models; Process control; HVAC system; energy saving; intelligent control; model predictive control; thermal comfort;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Carpathian Control Conference (ICCC), 2011 12th International
Conference_Location :
Velke Karlovice
Print_ISBN :
978-1-61284-360-5
Type :
conf
DOI :
10.1109/CarpathianCC.2011.5945862
Filename :
5945862
Link To Document :
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