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Title:Razvoj odločitvenega modela za izbiro mikro sončne elektrarne v gospodinjstvih
Authors:ID Čižman, Boris (Author)
ID Kljajić Borštnar, Mirjana (Mentor) More about this mentor... New window
Files:.pdf MAG_Cizman_Boris_2020.pdf (3,42 MB)
MD5: 4ADBFEB0F7AFC882F08E8B39FD331F05
PID: 20.500.12556/dkum/3e7a43d9-9209-48ea-bd45-0b9bf00992d3
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:V magistrskem delu raziskujemo aktualno področje obnovljivih virov energije (OVE) za pridobivanje električne energije, to je sončno sevanje. Glavni problem pri namestitvi sončne elektrarne je optimalna izbira in načrtovanje mikro sončne elektrarne (MSE) glede na različno porabo električne energije v posameznem gospodinjstvu v povezavi z geografsko lokacijo, lego objekta v prostoru in konstrukcijo stavbe. Poleg običajnih porabnikov električne energije imamo lahko v gospodinjstvu tudi druge porabnike, kot so električna vozila (EV) in toplotne črpalke (TČ) ali kaj tretjega. V magistrskem delu smo se osredotočili na poglobljeno analizo samega koncepta sončne elektrarne in predstavili pripadajočo programsko opremo in ustrezne podatke, ki so bili potem podlaga za ekonomsko-tehnični model. V nadaljevanju smo predstavili razvoj ekonomsko-tehničnega odločitvenega modela. Rezultati temeljijo na konkretnih izračunih upravičenosti nabave MSE v gospodinjstvu glede na vračilo investicije v okviru omejitev (največja dovoljena moč elektrarne, mikro lokacija, pozicija sončne elektrarne na objektu). Posplošen ekonomsko-tehnični odločitveni model omogoča bodočim uporabnikom – investitorjem optimalno izbiro MSE in vključuje tudi možnost investicije v EV in TČ. Predstavljene pa so tudi nadaljnje možnosti razvoja in ustrezna priporočila.
Keywords:obnovljivi viri energije, mikro sončna elektrarna, fotovoltaika, odločitveni model, neto meritev, informacijski sistemi
Place of publishing:Maribor
Year of publishing:2020
PID:20.500.12556/DKUM-77690 New window
COBISS.SI-ID:34363395  New window
NUK URN:URN:SI:UM:DK:HB2MQ6HS
Publication date in DKUM:27.10.2020
Views:934
Downloads:131
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:FOV
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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:10.09.2020

Secondary language

Language:English
Title:Development of a decision model for the selection of a micro-solar power plant in households
Abstract:In the Master's thesis, we research the current field of renewable energy sources (RES) for electricity generation, such as solar radiation. The main problem in installing a solar power plant is the optimal choice and planning of micro solar power plant (MSE) according to the different electricity consumption in each household in connection with the geographical location and location of the building in space and the construction of the building. In addition to the usual consumers of electricity, we can also have other consumers of electricity in the household, such as electric vehicles (EV) and heat pumps (HP) or something else. In this paper, we focused on an in-depth analysis of the concept of a solar power plant and presented the associated software and relevant data, which were then the basis for the economic and technical model. In the following, we presented the development of the economic-technical decision-making model. The results of the task are based on concrete calculations of the eligibility of the purchase of MSE in the household with regard to the return on investment within the limits (maximum allowed power of the power plant, micro location, and position of the solar power plant on the building). The generalized economic-technical decision-making model enables future users-investors the optimal choice of MSE and includes the possibility of investing in EVs and HPPs. Further development options and relevant recommendations are also present.
Keywords:renewable energy sources, micro solar power plant, photovoltaics, decision model, net metering, information systems


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