Pregled bibliografske jedinice broj: 1210708
Mixed-integer Modelling and Optimization of a Heat Source and a Storage System
Mixed-integer Modelling and Optimization of a Heat Source and a Storage System // IFAC-PapersOnLine, Volume 55, Issue 20 / Kugi, Andreas ; Körner, Andreas ; Kemmetmüller, Wolfgang ; Deutschmann-Olek, Andreas ; Breitenecker, Felix ; Troch, Inge (ur.).
Beč: International Federation of Automatic Control (IFAC), 2022. str. 133-138 doi:10.1016/j.ifacol.2022.09.084 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1210708 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Mixed-integer Modelling and Optimization of a Heat
Source and a Storage System
Autori
Rukavina, Filip ; Vašak, Mario
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
IFAC-PapersOnLine, Volume 55, Issue 20
/ Kugi, Andreas ; Körner, Andreas ; Kemmetmüller, Wolfgang ; Deutschmann-Olek, Andreas ; Breitenecker, Felix ; Troch, Inge - Beč : International Federation of Automatic Control (IFAC), 2022, 133-138
Skup
10th Vienna International Conference on Mathematical Modelling (MATHMOD 2022)
Mjesto i datum
Beč, Austrija, 27.07.2022. - 29.07.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Heating system, thermal energy storage, mixed-integer program, model predictive control, optimal scheduling
Sažetak
Thermal energy storages introduce flexibility into heating systems with numerous advantages on system performance, and operational and maintenance costs. One of the most prominent advantages is the ability to use heat sources at the operating points with higher efficiency. To use the full potential of a thermal energy storage, an adequate control technique is required to control the heat sources connected to it. This paper models a heating system containing a heat source and a thermal energy storage and uses this model for optimal scheduling of the heat source. The optimal schedule is obtained through application of model predictive control which takes into account the efficiency of the heat source. A PI controller is also designed by following practical optima to serve as a baseline for comparison with the MPC- based scheduler. The obtained results show that the optimal scheduler is advantageous compared to the PI controller in terms of both energy efficiency and satisfying the posed constraints.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Poveznice na cjeloviti tekst rada:
Pristup cjelovitom tekstu rada doi www.sciencedirect.com www.sciencedirect.comCitiraj ovu publikaciju:
Časopis indeksira:
- Scopus