magistrsko delo Organizacija in management poslovnih in delovnih sistemov
Igor Jerele (Author), Vladislav Rajkovič (Mentor), Tomaž Kern (Co-mentor)

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;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FOV - Faculty of Organizational Sciences
Publisher: [I. Jerele]
UDC: 004
COBISS: 7972371 Link will open in a new window
Views: 835
Downloads: 907
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Other data

Secondary language: English
Secondary title: Decision knowledge modeling for photovoltaic module evaluation
Secondary 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.
Secondary keywords: Photovoltaic Photovoltaic module More parametric evaluation Method DEX;
URN: URN:SI:UM:
Type (COBISS): Master's thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za organizacijske vede
Pages: 38 f.
ID: 10863438
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