DocumentCode :
645938
Title :
Physics-based modeling and identification for HVAC systems?
Author :
Scotton, Francesco ; Lirong Huang ; Ahmadi, S.A. ; Wahlberg, Bo
Author_Institution :
ACCESS Linnaeus Center & Autom. Control Lab., KTH R. Inst. of Technol., Stockholm, Sweden
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
1404
Lastpage :
1409
Abstract :
Heating, ventilation and air conditioning (HVAC) systems are among the largest energy consumers in many buildings. As is known, modeling and identification play important roles in the study of HVAC systems. A good model is very helpful for improving efficiency of the HVAC system. Very recently, a physics-based model of room temperature was proposed. Motivated by this inspiring work, this paper, based on the physical dynamical systems, proposes, identifies and validates three models for CO2 concentration, temperature and humidity of a test-bed room, respectively. Particularly, our models take into account the effect of occupiers, since the indoor air quality (IAQ) is evidently affected by the number of occupiers. A test-bed has been set up for experiments in a laboratory room on KTH campus. Experimental results verify that our proposed method improves the performance of the physics-based linear parametric models.
Keywords :
HVAC; energy consumption; HVAC systems; KTH campus; heating ventilation and air conditioning systems; humidity; indoor air quality; laboratory room; physical dynamical systems; physics-based identification; physics-based linear parametric models; physics-based modeling; room temperature; test-bed room; Atmospheric modeling; Data models; Ducts; Humidity; Mathematical model; Temperature measurement; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich
Type :
conf
Filename :
6669134
Link To Document :
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