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Title:
Modeliranje odločitvenega znanja za oceno fotovoltaičnega modula
Authors:
ID
Jerele, Igor
(
Author
)
ID
Rajkovič, Vladislav
(
Mentor
)
More about this mentor...
ID
Kern, Tomaž
(
Comentor
)
Files:
MAG_Jerele_Igor_2017.pdf
(2,31 MB)
MD5: 3CC9F57D1A901ADE571E2EF099BFCB1C
PID:
20.500.12556/dkum/9a5bb26d-33d3-476c-bcfe-6dbf814c0dc5
Language:
Slovenian
Work type:
Master's thesis/paper
Organization:
FOV - Faculty of Organizational Sciences in Kranj
Abstract:
Sončno elektrarno sestavljajo osnovni gradniki, kot so fotovoltaični moduli, razsmerniki, števci porabe, nosilna ohišja in drugo. Zaradi številčnosti so največji strošek v sistemu fotovoltaični ali sončni moduli. Od vršne moči posameznega modula pa je odvisna tudi moč sončne elektrarne. Zato je cilj magistrskega dela zgraditi model znanja za vrednotenje in ocenjevanje izbire fotovoltaičnih modulov za sončno elektrarno. Baza znanja temelji na večparametrskem odločitvenem modelu po metodi DEX. Na podlagi tega smo ocenili fotovoltaične module, ki jih ponujajo proizvajalci za sončne elektrarne.
Keywords:
Fotovoltaika Fotovoltaični modul Večparametrsko ocenjevanje Metoda DEX
Place of publishing:
Maribor
Year of publishing:
2017
PID:
20.500.12556/DKUM-68134
COBISS.SI-ID:
7972371
NUK URN:
URN:SI:UM:DK:EHIG7DXA
Publication date in DKUM:
26.10.2017
Views:
1551
Downloads:
998
Metadata:
Categories:
FOV
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Licences
License:
CC BY-NC-SA 4.0, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-sa/4.0/
Description:
A Creative Commons license that bans commercial use and requires the user to release any modified works under this license.
Licensing start date:
11.09.2017
Secondary language
Language:
English
Title:
Decision knowledge modeling for photovoltaic module evaluation
Abstract:
The solar power plant composed of the core elements, such as photovoltaic modules, inverters, consumption meters, bearing housing and other. Due to the abundance of photovoltaic or solar modules in the system represent the largest expense. The power of a single solar power plant depends on the peak power of each module. Therefore, the objective of the master's work is to build a model of knowledge for evaluating and assess the choice of photovoltaic modules for a solar power plant. The knowledge base has been developed on the basis of several parametric decision models according to the DEX method. On this basis, we assessed the photovoltaic modules, now offered by the providers of solar power plants.
Keywords:
Photovoltaic Photovoltaic module More parametric evaluation Method DEX
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