Pregled bibliografske jedinice broj: 1152567
Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings
Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings // IEEE transactions on energy conversion, 36 (2021), 4; 2670-2682 doi:10.1109/TEC.2021.3116153 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1152567 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Modular Hierarchical Model Predictive Control for
Coordinated and Holistic Energy Management of
Buildings
Autori
Vašak, Mario ; Banjac, Anita ; Hure, Nikola ; Novak, Hrvoje ; Marušić, Danko ; Lešić, Vinko
Izvornik
IEEE transactions on energy conversion (0885-8969) 36
(2021), 4;
2670-2682
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Building energy management system, Zone comfort control, Central medium conditioning, Microgrid energy management, Hierarchical coordination, Model predictive control, Energy efficiency, Price-optimal control
Sažetak
Modular building energy management strategy based on a three-level hierarchical model predictive control is proposed in the paper. Building zones, central medium conditioning and microgrid subsystems are controlled independently by individual linear and nonlinear model predictive controllers, and further integrated together as levels of hierarchical coordination control structure based on price-consumption information exchange. The three-level coordination provides a holistic energy management strategy and enables significant demand response ancillary services for buildings as prosumers, while retaining the independence of required expertise in very different building subsystems. The approach is applied for daily operation scheduling of a full- scale building consisting of 248 offices. Models of building subsystems are obtained by identification procedures on measurement data. Compared to rule-based control, detailed realistic simulations show that the overall building operation cost for typical days in summer is reduced by 9-12% for level-by-level energy-optimal and by 15-24% for price-optimal, coordinated operation. The application of predictive control in the proposed way also improves the indoor comfort substantially.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Mario Vašak
(autor)
Vinko Lešić
(autor)
Hrvoje Novak
(autor)
Nikola Hure
(autor)
Anita Banjac
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus