DocumentCode :
189326
Title :
Nonlinear system identification of thermal dynamics in buildings
Author :
Chasparis, Georgios C. ; Natschlager, Thomas
Author_Institution :
Dept. of Data Anal. Syst., Software Competence Center Hagenberg GmbH, Hagenberg, Austria
fYear :
2014
fDate :
24-27 June 2014
Firstpage :
1649
Lastpage :
1654
Abstract :
Standard (black-box) linear regression models may not necessarily suffice for accurate identification of thermal dynamics in buildings. This is particularly apparent when either a radiant-heating (RH) system or a heating-ventilation-air-conditioning (HVAC) system is used for temperature control and the flow rate of the thermal medium varies significantly. For this reason, this paper analytically derives, using physical insight, and investigates nonlinear regression models for system identification of thermal dynamics in buildings. The performance of these models is compared with standard (black-box) linear regression models through simulations.
Keywords :
HVAC; buildings (structures); identification; nonlinear systems; regression analysis; temperature control; thermodynamics; HVAC system; RH system; black-box linear regression models; buildings; flow rate; heating-ventilation air-conditioning system; nonlinear regression models; nonlinear system identification; radiant-heating system; standard linear regression models; temperature control; thermal dynamics; thermal medium; Approximation methods; Buildings; Heating; Linear regression; Nonlinear dynamical systems; Standards; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
Type :
conf
DOI :
10.1109/ECC.2014.6862457
Filename :
6862457
Link To Document :
بازگشت