Pregled bibliografske jedinice broj: 1170713
Distributed Optimal Heating Control of a Residential Building Resilient to Cybersecurity Issues
Distributed Optimal Heating Control of a Residential Building Resilient to Cybersecurity Issues // Proceedings of 2021 IEEE 19th International Conference on Industrial Informatics (INDIN) / Álvarez, Inés ; Ballesteros, Alberto ; Nogueiras Meléndez, Andres A. (ur.).
Palma de Mallorca: IEEEXplore, 2021. 003018, 6 doi:10.1109/INDIN45523.2021.9557449 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
CROSBI ID: 1170713 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Distributed Optimal Heating Control of a Residential
Building Resilient to Cybersecurity Issues
Autori
Lešić, Vinko ; Vrbanc, Filip ; Perić, Nikica ; Banjac, Anita ; Novak, Hrvoje ; Jelić, Luka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo
Izvornik
Proceedings of 2021 IEEE 19th International Conference on Industrial Informatics (INDIN)
/ Álvarez, Inés ; Ballesteros, Alberto ; Nogueiras Meléndez, Andres A. - Palma de Mallorca : IEEEXplore, 2021
ISBN
978-1-7281-4395-8
Skup
19th IEEE International Conference on Industrial Informatics (INDIN 2021)
Mjesto i datum
Palma de Mallorca, Španjolska, 21.07.2021. - 23.07.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Model predictive control, User setpoint prediction, Distributed control, Data privacy protection
Sažetak
Predictive control and optimization in buildings proved to be a promising approach in increasing energy efficiency of the sector as one of the largest energy consumer. Zone digitalization is still one of the ongoing issues in older buildings, and has only recently started to be interesting in the residential sector due to high prices of required expert knowledge and automation equipment. However, buildings systems digitalization and networking also brought to fore the system security issues. Distributed approach to zone digitalization and predictive control, enabled by recent advances in embedded technology, implies both hardware topology and control algorithm structure. The paper focuses on a case where each zone holds a separate controller with tailored temperature setpoint prediction and model predictive control algorithm, which independently calculate the optimal heating control laws of the corresponding zones. Furthermore, the controllers are mutually and iteratively bidding toward the joint energy efficiency goal of the whole building. Such control structure enables fast digitalization and optimal joint operation of the building while keeping the independency of the users and retaining the data privacy. Only essential data is transmitted to the central coordinator in form of a summed information, which cannot extrapolate particular user data. Additionally, single zone controller security breach does not inflict damage to the whole system. System resiliency to security issues is therefore strongly increased.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-UIP-2020-02-9636 - Distribuirano upravljanje za dinamičko gospodarenje energijom u složenim sustavima naprednih gradova (DECIDE) (Lešić, Vinko, HRZZ - 2020-02) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Hrvoje Novak
(autor)
Vinko Lešić
(autor)
Anita Banjac
(autor)
Nikica Perić
(autor)
Filip Vrbanc
(autor)