Isplativost investicije u niskougljične tehnologije krajnjih korisnika pri različitim mehanizmima određivanja cijena električne energije

master's thesis

• Title (english): Cost effectiveness of the final consumers investment in low-carbon technologies under different electricity pricing mechanisms
• Author: Kristina Godec
• Mentor: Tomislav Capuder (mentor)
• Committee member: Tomislav Capuder (predsjednik povjerenstva)
• Committee member: Marko Delimar (član povjerenstva)
• Committee member: Hrvoje Pandžić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-21, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Cilj ovog rada pokazati je kako se korištenjem programskog jezika Python uz
optimizacijski program Gurobi može optimizirati potrošnja električne energije različitih vrsta kućanstava koje na svom krovu imaju fotonaponske panele. Time se žele pokazati prednosti decentralizirane proizvodnje, koja se sve više promiče u svijetu radi smanjivanja onečišćenja. Veliku ulogu u tome imaju kupci s vlastitom proizvodnjom. Osim smanjivanja onečišćenja, potrošačima je potreban stabilan i povoljan program potpore kako bi postali i proizvođači. No sve države ne daju potpore. U Velikoj Britaniji i Njemačkoj puno je lakše postati kupac s vlastitom proizvodnjom nego u Norveškoj.
Promatrano je šest različitih modela za sve četiri vrste kućanstva:
• Kupac s vlastitom proizvodnjom (PV) nije upravljiv.
• Kupac s vlastitom proizvodnjom sam brine na pomakne uređaje kad je proizvodnja iz OIE i maksimizira iskorištenje lokalne proizvodnje.
• Kupac s vlastitom proizvodnjom radi isto što i gornja točka, ali optimizacijom.
• Kupac s vlastitom proizvodnjom (PV) upravlja električnim vozilom pomoću optimizacije.
• Kupac s vlastitom proizvodnjom (PV) upravlja električnim vozilom i baterijom pomoću optimizacije.
• Kupac s vlastitom proizvodnjom (PV) radi isto kao prethodna točka uz dodatak fleksibilnog grijanja.

Abstract (english)

The purpose of this work was to showcase how household electric energy can be harvested and thereby optimized with the use of programming language Python and a Gurobi optimizer.
The homes would have PV roofing, which would allow for sustainable energy harvesting. This would promote the advantages of decentralized production, as the world hopes to achieve in order to reduce energy waste. Individual consumers play a big part in this. Other than ways to reduce energy waste, consumers can be supported to become producers by harvesting energy. This would require reliable, convenient and affordable programs, but not all Countries offer this support. In the UK and Germany, it is much easier to become a consumer of one's own production than it is in Norway for example.
6 models of 4 different domestic types were observed:
• Prosumer (PV) is not manageable
• Prosumer (PV) itself takes care of electric devices when production is from RES and maximizes the utilization of local production
• Prosumer (PV) does the same as the above point, but with optimization.
• Prosumer (PV) manages the electric drive through optimization.
• Prosumer (PV) manages electric vehicles and batteries using optimizations.
• Prosumer (PV) does the same as the previous point with the addition of flexible heating

• Keywords: kupac s vlastitom proizvodnjom; fotonaponski paneli; optimizacija; tarife; baterija; električno vozilo; fleksibilno grijanje; upravljivi uređaji
• Keywords (english): prosumer; solar panels; optimization; flexible heat; controllable devices; battery; electric vehicle
• Language: croatian
• URN:NBN: urn:nbn:hr:168:521489
• Study programme: Title: 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 resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 14:57:02