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Title:Optimizacija alternativnega energetskega sistema z vključevanjem plinastih goriv : diplomsko delo univerzitetnega študijskega programa I. stopnje
Authors:ID Pigac, Tine (Author)
ID Nemet, Andreja (Mentor) More about this mentor... New window
ID Bogataj, Miloš (Comentor)
Files:.pdf UN_Pigac_Tine_2023.pdf (3,63 MB)
MD5: 8E82CAABD40437599DCAB4F222A31A8A
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FKKT - Faculty of Chemistry and Chemical Engineering
Abstract:Za doseganje energetskih potreb voznega parka trenutno uporabljamo fosilna goriva, zaradi katerih prihaja do emisij toplogrednih plinov, kot je ogljikov dioksid, ki povzročajo globalno segrevanje. Zaradi tega prehajamo na alternativne vire energije, pri katerih moramo preučiti, med drugim, tudi ekonomičnost dobave energije ter količine izpustov. Alternativni možnosti za pogon vozil sta velikokrat elektrika in vodik. Električna vozila so v Sloveniji do določene mere že v uporabi, medtem ko se vodik zaenkrat še ne uporablja kot pogonsko gorivo, saj nimamo polnilnih postaj in posledično proizvajalci avtomobilov na našem trgu ne ponujajo prevoznih sredstev na vodikov pogon. V diplomski nalogi smo opravili optimizacijo obrata za soproizvodnjo elektrike, vodika in toplote iz obnovljivih virov energije. Za izvedbo optimizacije smo pregledali različne vire in tehnologije proizvodnje. Pri tem smo upoštevali najpogostejše tehnologije pretvorb za proizvodno elektrike, vodika in toplote ter možne vire, ki se bodo v analizi izkazali kot najbolj obetajoči. Nadalje smo razvili matematični model v programskem okolju Python, natančneje z uporabo paketa za optimizacijo GEKKO. Za reševanje smo uporabili reševalnik (solver) IPOPT. Ker lahko proizvodnja poteka po več različnih poteh, smo ugotavljali, katera pot je najbolj optimalna. Iz dobljenih rezultatov je razvidno, da se večino energije za končno proizvodnjo elektrike, vodika in toplote pridobi iz električnega omrežja. Razlog za to je, da imajo komponente, ki so povezane na električno omrežje, najvišje izkoristke presnov. Ker imajo komponente povezane na električno omrežje najmanjše izgube, je električno omrežje najbolj optimalen vir za soproizvodnjo elektrike, vodika in toplote. To je tudi razvidno iz tega, da se levji delež vodika proizvede v elektrolizerju, ki porablja elektriko za svojo proizvodnjo. Večino tega vodika se nato porabi v gorivni celici, kjer se poleg električne energije proizvede tudi glavnina toplote.
Keywords:optimiranje, Python, GEKKO, plinasta goriva
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[T. Pigac]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (VIII, 40 f.))
PID:20.500.12556/DKUM-85230 New window
UDC:621.311+620.92(043.2)
COBISS.SI-ID:166408707 New window
Publication date in DKUM:11.09.2023
Views:669
Downloads:45
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FKKT
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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:22.08.2023

Secondary language

Language:English
Title:Optimization of the alternative energy system by including gaseous fuel
Abstract:To meet the energy needs of the vehicle fleet, we currently use fossil fuels, which lead to emissions of greenhouse gases such as carbon dioxide, which cause global warming. For this reason, we are switching to alternative energy sources, where we must examine, among other things, the economics of energy supply and the number of emissions. Alternative options for combustion vehicles are often electric and hydrogen-powered vehicles. Electric vehicles are already in use to a certain extent in Slovenia, while hydrogen is not yet used as a fuel, as we do not have charging stations and, as a result, car manufacturers do not offer hydrogen-powered vehicles on our market. In the diploma thesis, we performed the optimization of a plant for the co-production of electricity, hydrogen and heat from renewable energy sources. To carry out the optimization, we reviewed various sources and production technologies. In doing so, we considered the most common conversion technologies for the production of electricity, hydrogen and heat, as well as possible sources that will prove to be the most promising in analysis. We further developed a mathematical model in the Python programming environment, more specifically using the GEKKO package for optimization. We used the IPOPT solver for the solution. Since production can take place using several different paths, we determined which path is the most optimal. The obtained results show that most of the energy for the final production of electricity, hydrogen and heat is obtained from the electricity network. The reason for this is that components connected to the electrical grid have the highest conversion efficiencies. Since the components connected to the electrical grid have the smallest losses, the electrical grid is the most optimal source for the co-production of electricity, hydrogen and heat. This is also evident from the fact that most of the hydrogen is produced in the electrolyser, which consumes electricity for its production of hydrogen. Most of this hydrogen is then used in the fuel cell, where in addition to electricity the bulk of the heat is produced.
Keywords:optimization, Python, GEKKO, gaseous fuels


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