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master's thesis
Primjena višeciljne optimizacije za kratkoročno planiranje pogona energetske zajednice
2024. urn:nbn:hr:200:965297
Babić, Stjepan
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Power Engineering
Chair of Power Systems and Substations

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Babić, S. (2024). Primjena višeciljne optimizacije za kratkoročno planiranje pogona energetske zajednice (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:965297

Babić, Stjepan. "Primjena višeciljne optimizacije za kratkoročno planiranje pogona energetske zajednice." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:965297

Babić, Stjepan. "Primjena višeciljne optimizacije za kratkoročno planiranje pogona energetske zajednice." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2024. https://urn.nsk.hr/urn:nbn:hr:200:965297

Babić, S. (2024). 'Primjena višeciljne optimizacije za kratkoročno planiranje pogona energetske zajednice', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 21 January 2025, https://urn.nsk.hr/urn:nbn:hr:200:965297

Babić S. Primjena višeciljne optimizacije za kratkoročno planiranje pogona energetske zajednice [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2024 [cited 2025 January 21] Available at: https://urn.nsk.hr/urn:nbn:hr:200:965297

S. Babić, "Primjena višeciljne optimizacije za kratkoročno planiranje pogona energetske zajednice", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:200:965297

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Metadata
TitlePrimjena višeciljne optimizacije za kratkoročno planiranje pogona energetske zajednice
Title (english)Application of multi-objective optimization for short-term energy management planning of the energy community
AuthorStjepan Babić
MentorGoran Knežević (mentor)
MentorNemanja Mišljenović (sumentor)
Committee memberGoran Knežević (predsjednik povjerenstva)
Committee memberKrešimir Fekete (član povjerenstva)
Committee memberMatej Žnidarec (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Power Engineering)
(Chair of Power Systems and Substations)
Osijek
Defense date and country2024-10-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Abstract
Ovaj rad analizira energetsku zajednicu te se bavi kratkoročnim planiranjem pogona energetske zajednice koristeći višeciljnu optimizaciju. Glavni cilj optimizacijskog postupka bio je pronaći ravnotežu između smanjenja emisija CO2 i smanjenja troškova električne energije. Razvijen je optimizacijski model temeljen na mješovitom cjelobrojnom linearnom programiranju, a optimizacija je provedena kombinacijom MATLAB i GAMS. Rezultati pokazuju da je optimalno rješenje postignuto pri težinskom faktoru ω = 0,05, gdje su ukupni troškovi smanjeni sa 62,22 € na 54,23 €, odnosno za 7,99 €, dok su emisije CO2 smanjene sa 106,04 kg na 105,01 kg, odnosno za 1,03 kg. Naglašeno je smanjenje emisija CO2, što je vrlo važno s obzirom na neprofitnu prirodu energetskih zajednica i njihovu ekološku misiju.
Abstract (english)
This paper defines the energy community and deals with the short-term planning of the energy community plant using multi-objective optimization. The main goal was to find a balance between reducing CO2 emissions and reducing energy costs, taking into account technical and economic factors. A mathematical model based on mixed integer linear programming was developed, and the optimization was carried out in MATLAB and GAMS tools. The results show that the optimal solution was achieved at a weighting of ω = 0.05, where total costs were reduced from €62.22 to €54.23, by €7.99, and CO2 were reduced are at 106.04 kg to 105.01 kg, for 1.03 kg. Emphasis is placed on reducing emissions, which is crucial given the non-profit nature of energy communities and their environmental mission.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:965297
Study programmeTitle: Graduate university study programme in Electrical Engineering (branches: Power Engineering and Communications and Informatics; specializations in: Engineering, Power Engineering and Communications, Communications and Informatics
Course: Engineering
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka elektrotehnike (sveučilišni/a magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-10-29 07:11:01