Naslov
Parameter estimation for low-order models of complex buildings

Autori
Martinčević, Anita ; Starčić, Antonio ; Vašak, Mario

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES / - , 2014, 1-6

Skup
IEEE PES Innovative Smart Grid Technologies (ISGT) European 2014 Conference

Mjesto i datum
Istanbul, Turska, 12.10.2014. - 15.10.2014

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Constrained Unscented Kalman Filter (UKF) ; Building temperature prediction ; Model Predictive Control (MPC) ; Online parameter identification ; Parameter-Adaptive building model

Sažetak
The improvement of the building sector energy efficiency becomes crucially important to attain a balance in many sectors. Reduction of the energy consumption in buildings by using model predictive control strategies is recognized as one of the essential solutions to achieve considerable energy savings. Due to the nature of thermodynamic processes in buildings the underlying models are mostly nonlinear and of high order. In this work Constrained Unscented Kalman Filter is employed to obtain a linear low order model of a large public building applicable for the predictive control. Through the comparison of results with the data generated by highly accurate building simulation software IDA Indoor Climate and Energy (IDA-ICE), it has been shown that the first order linear model for each zone, with separated nonlinearities related to the solar radiation effects, is sufficient to capture the main dynamics of the observed building.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA