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master's thesis
Prediktivno vođenje mikro energetskog sustava
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2019. urn:nbn:hr:235:049948
Grubišić, Dominik
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

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Grubišić, D. (2019). Prediktivno vođenje mikro energetskog sustava (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:049948

Grubišić, Dominik. "Prediktivno vođenje mikro energetskog sustava." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2019. https://urn.nsk.hr/urn:nbn:hr:235:049948

Grubišić, Dominik. "Prediktivno vođenje mikro energetskog sustava." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2019. https://urn.nsk.hr/urn:nbn:hr:235:049948

Grubišić, D. (2019). 'Prediktivno vođenje mikro energetskog sustava', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:235:049948

Grubišić D. Prediktivno vođenje mikro energetskog sustava [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2019 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:235:049948

D. Grubišić, "Prediktivno vođenje mikro energetskog sustava", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:235:049948

Metadata
TitlePrediktivno vođenje mikro energetskog sustava
Title (english)Predictive control of micro power system
AuthorDominik Grubišić
MentorDražen Lončar (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2019-05-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Basic Technical Sciences
Energetics
Abstract
Postojeći trendovi u energetskom sektoru vode prema povećanju udjela obnovljivih izvora energije i energetske učinkovitosti u zgradarstvu i industriji. Većina ostvarivih energetskih ušteda u zgradarstvu temelji se na ostvarivanju različitih konstrukcijskih i tehničkih rješenja (izolacija, zasjenjenja, implementacija prirodne ventilacije i dizalice topline, stolarija itd). Ipak, značajan doprinos uštedama daje i optimizacija te upravljanje spomenutih tehničkih rješenja, posebice razvojem naprednih metoda i algoritama upravljanja. Jedan od naprednih metoda, prediktivni model upravljanja, primjenjen je u ovom radu kako bi se usporedio njegov učinak s konvencionalnim upravljanjem na mikro-trigeneracijski solarni sustav. Promatrani trigeneracijski sustav osigurava grijanje, hlađenje, potrošnu toplu vodu te električnu energiju kućanstvu površine 150 m2, koristeći se novom tehnologijom hibridnih PVT kolektora. Konvencionalni pristup upravljanju temelji svoj rad na postizanju zadanih vrijednosti određenih temperatura u sustavu, dok prediktivni model upravljanja s predikcijskim horizontom od 24h optimizira rad sustava kako bi se maksimizirale novčane uštede. Usporedbom rada metoda upravljanja, pokazuje se kako prediktivna metoda uvelike nadmašuje konvencionalni pristup.
Abstract (english)
The latest trends in power management lead to increasing of renewable energy share and energy efficiency in building and industry sectors. Most of the energy savings in building sector are based on implementation of various constructional and technical solutions (insulation, shading, use of natural ventilation and heat pump, joinery, etc.). Optimization and management of technical solutions are of utter importance, especially since advanced algorithms and control methods have developed. One of the advanced methods is model predictive control which is implemented and its’ performance is compared to conventional control method. Micro-solar trigeneration system, which is analyzed, provides heating, cooling and electricity to referent household, using novel PVT technology. Conventional control method regime changing is based on temperature setpoints, while predictive control optimize system performance based on electricity price using 24h prediction horizon. Result of comparison shows that predictive control provide big financial savings.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:049948
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-02-02 16:17:44