Pregled bibliografske jedinice broj: 824655
Model Predictive Control for Energy-saving and Comfortable Temperature Control in Buildings
Model Predictive Control for Energy-saving and Comfortable Temperature Control in Buildings // Proceedings of the 24th Mediterranean Conference on Control and Automation
Atena, 2016. str. 298-303 doi:10.1109/MED.2016.7536001 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 824655 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Model Predictive Control for Energy-saving and
Comfortable Temperature Control in Buildings
Autori
Martinčević, Anita ; Vašak, Mario ; Lešić, Vinko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 24th Mediterranean Conference on Control and Automation
/ - Atena, 2016, 298-303
Skup
Mediterranean Conference on Control and Automation
Mjesto i datum
Atena, Grčka, 21.06.2016. - 24.06.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Model Predictive Control ; Advanced Control ; Smart Buildings
Sažetak
Model predictive control has been recognized as one of the essential solutions to achieve considerable energy savings in buildings. However, its performance on a building zone level can be inferior to a well-tuned conventional controller, especially in situations with constant energy prices and conservative comfort constraints. Optimization problem in the background has to be chosen to guarantee recursive feasibility and considerable energy savings without compromising the users comfort at the same time. This paper gives a novel formulation of the model predictive temperature control problem in buildings and its fair comparison with conventional controllers with the same level of flexibility allowed in zone temperature control. All controllers are tested for a system with seasonal heating and cooling, which is the most common case in real applications. It is shown that the introduced formulation leads to the model predictive controller that significantly outperforms conventional controllers both in energy consumption and users comfort.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
I-309-01314-2014-HRZZ17
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb