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master's thesis
Optimalna investicija skupine industrijskih postrojenja u solarne panele i baterijske spremnike
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:367616
Čović, Nikolina
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Čović, N. (2020). Optimalna investicija skupine industrijskih postrojenja u solarne panele i baterijske spremnike (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:367616

Čović, Nikolina. "Optimalna investicija skupine industrijskih postrojenja u solarne panele i baterijske spremnike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:367616

Čović, Nikolina. "Optimalna investicija skupine industrijskih postrojenja u solarne panele i baterijske spremnike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:367616

Čović, N. (2020). 'Optimalna investicija skupine industrijskih postrojenja u solarne panele i baterijske spremnike', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:367616

Čović N. Optimalna investicija skupine industrijskih postrojenja u solarne panele i baterijske spremnike [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:367616

N. Čović, "Optimalna investicija skupine industrijskih postrojenja u solarne panele i baterijske spremnike", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:367616

Metadata
TitleOptimalna investicija skupine industrijskih postrojenja u solarne panele i baterijske spremnike
Title (english)Optimal Investment of a Group of Industry Facilities in Solar Panels and Battery Energy Storage
AuthorNikolina Čović
MentorHrvoje Pandžić (mentor)
Committee memberHrvoje Pandžić (predsjednik povjerenstva)
Committee memberMarko Delimar (član povjerenstva)
Committee memberTomislav Capuder (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U radu se razmatra skupina industrijskih postrojenja na bliskoj lokaciji koja ulaže u fotonaponske panele i baterijske spremnike energije. Predmetnim ulaganjima cilj je smanjiti troškove električne energije kroz smanjenje troškova energije na dan-unaprijed tržištu, unutardnevnom tržištu, troškova vršne snage te prihodima s tržišta primarne rezerve. Usporedit će se rezultati zajedničkog ulaganja u fotonaponske panele i baterijski spremnik svih industrijskih postrojenja u odnosu na njihova individualna ulaganja. Koristit će se stvarni podaci o potrošnji električne energije industrijskih postrojenja iz Njemačke te će se proračuni stoga temeljiti na njemačkim tržišnim pravilima. Razvijeni optimizacijski modeli će se implementirati u alatu GAMS te će uzimati u obzir nesigurnost potrošnje postrojenja, proizvodnje solarnih panela te tržišnih cijena.
Abstract (english)
The thesis considers a group of colocated industry facilities investing in solar panels and battery energy storage. The goal of such investment is to cut down the costs of electricity by reducing the cost of energy purchased in the day-ahead market, in the intraday market, reducing the peak power cost and introducing the primary reserve revenue. The results of a joint investment will be compared to the results of individual industry facilities' investments. Input parameters will be based on actual consumption data of industrial facilities from Germany, thus the German market rules will apply. The developed optimization models will be implemented in the GAMS modeling tool and they will take into account uncertainty of consumption, solar generation and market prices.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:367616
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-13 12:01:59