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Title:Večkriterijska optimizacija hibridnega energetskega sistema za apartmajske stavbe
Authors:ID Šemen Oštrek, Katja (Author)
ID Klanšek, Uroš (Mentor) More about this mentor... New window
ID Čančer, Vesna (Mentor) More about this mentor... New window
ID Lešnik Nedelko, Maja (Comentor)
Files:.pdf MAG_Semen_Ostrek_Katja_2026.pdf (61,74 MB)
MD5: 25BFC6F24E61657BE1EC17CB6410D3DA
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:Magistrsko delo obravnava večkriterijsko optimizacijo hibridnega energetskega sistema za pokrivanje potreb po ogrevanju, pripravi tople sanitarne vode in hlajenju apartmajskih stavb. Energetski sistemi stavb predstavljajo ključen element pri zagotavljanju bivalnega ugodja, hkrati pa pomembno vplivajo na stroške obratovanja, porabo energije in okoljske vplive stavb. Razvit je mešani celoštevilski nelinearni optimizacijski problem (MINLP), katerega cilj je določitev optimalne konfiguracije hibridnega energetskega sistema ob upoštevanju ekonomskega, energetskega in okoljskega vidika. Najprej so izvedene enokriterijske optimizacije z minimizacijo letnih stroškov, porabe primarne energije in emisij toplogrednih plinov, na podlagi katerih so določene ekstremne rešitve posameznih kriterijev. Dobljeni rezultati so nato uporabljeni za izvedbo večkriterijske optimizacije, s katero so določene Pareto učinkovite rešitve, ki predstavljajo kompromise med obravnavanimi cilji. Model vključuje binarne spremenljivke za odločanje o namestitvi posameznega sistema in zvezne spremenljivke za dimenzioniranje sistemov ter nelinearne in linearne povezave med spremenljivkami. Nelinearna povezava izhaja iz metode f-diagrama za izračun solarnega deleža. V model so vključeni tehnični, ekonomski, energetski in okoljski parametri. Razvit model je uporabljen na primeru apartmajske stavbe, na katerem je določena optimalna konfiguracija in dimenzioniranje hibridnega energetskega sistema in predstavlja uporabno orodje za podporo pri odločanju pri trajnostnem načrtovanju energetskih sistemov apartmajskih stavb.
Keywords:večkriterijska optimizacija, energetski sistem, obnovljive energetske tehnologije, pokrivanje energijskih potreb, apartmajske stavbe
Place of publishing:Maribor
Year of publishing:2026
PID:20.500.12556/DKUM-99779 New window
Publication date in DKUM:10.09.2026
Views:105
Downloads:2
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FG
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:26.08.2026

Secondary language

Language:English
Title:Multi-Criteria optimization of hybrid energy system for apartment buildings
Abstract:This master’s thesis addresses the multi-objective optimization of a hybrid energy system for meeting the heating, domestic hot water, and cooling demands of apartment buildings. Building energy systems represent a key element in ensuring indoor comfort while significantly influencing operating costs, energy consumption, and the environmental impacts of buildings. A mixed-integer nonlinear programming (MINLP) model was developed to determine the optimal configuration of a hybrid energy system while considering economic, energy, and environmental aspects. First, single-objective optimizations were performed by minimizing annual costs, primary energy consumption, and greenhouse gas emissions, resulting in the extreme solutions for each optimization criterion. The obtained results were subsequently used to perform a multi-objective optimization, which identified Pareto efficient solutions that present trade-offs among the considered objectives. The model includes binary variables for selecting the installation of individual technologies and continuous variables for sizing the systems, as well as linear and nonlinear relationships between variables. The nonlinear relationship is based on the F-chart method for calculating the solar fraction. The model incorporates technical, economic, energy, and environmental parameters. The developed model was applied to a case study of an apartment building, where the optimal configuration and sizing of the hybrid energy system were determined. The proposed approach represents a useful decision-support tool for the sustainable design of energy systems in apartment buildings.
Keywords:multi-objective optimization, energy system, renewable energy technologies, energy demand coverage, apartment buildings


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