Ekonomska upravičenost investicije v električno vozilo in sončno elektrarno

magistrsko delo

Lucija Blažej (Author), Miloš Pantoš (Mentor)

Abstract

V zaključnem delu sem naredila izračune stroškov za energent in elektriko za tri scenarije: če imamo vozilo z notranjih izgorevanjem, če imamo električno vozilo in če imamo sončno elektrarno in električno vozilo. Osredotočila sem se na analizo ekonomske upravičenosti investicije v sončno elektrarno, če že imamo električno vozilo. Izračuni so pokazali, da se stroški pri zamenjavi vozila z notranjih izgorevanjem z električnih vozilom zmanjšajo za več kot 50 %. Če pa dokupimo še ustrezno dimenzionirano sončno elektrarno, letno prihranimo tudi do 600 EUR, kar investicijo povrne v dobrih 13 letih, neto sedanja vrednost investicije pa je dobrih 850 EUR. Scenarijska analiza po mestih dobro prikaže, da se investicija bolj izplača v mestih z večjo osončenostjo. Kar pa še ne pomeni, da se pri manjši osončenosti investicija ne izplača, le velikost elektrarne je treba prilagoditi. Občutljivostna analiza je pokazala, da imata med obravnavanimi parametri na končni rezultat največji vpliv osončenost in cena sončne elektrarne. Glede na rezultate Monte Carlo simulacije lahko sklepamo, da bi se investicija pri danih parametrih in njihovem obsegu vedno izplačala. Ugotovimo torej, da ne glede na lokacijo elektrarne ter karakteristike porabe in voženj elektrarno lahko dimenzioniramo tako, da se investicija ekonomsko izplača. Veliko ne bomo zaslužili, a če električno vozilo in sončno elektrarno kupimo predvsem z namenom razogljičenja družbe, je nakup dobra odločitev.

Keywords

ekonomska upravičenost;električna vozila;sončne elektrarne;scenarijska analiza;občutljivostna analiza;Monte Carlo simulacija;magisteriji;

Data

Language:	Slovenian
Year of publishing:	2021
Typology:	2.09 - Master's Thesis
Organization:	UL FE - Faculty of Electrical Engineering
Publisher:	[L. Blažej]
UDC:	621.31:33(043.2)
COBISS:	75866115
Views:	526
Downloads:	125
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Feasibility study of investment in electric vehicle and solar power plant
Secondary abstract:	In this master thesis calculations of energy and electricity costs for three scenarios were made: if we have an internal combustion vehicle, if we have an electric vehicle and if we have a solar power plant and an electric vehicle. I focused on analyzing the feasibility study of investing in a solar power plant if we already have an electric vehicle. Calculations have shown that the costs of replacing an internal combustion vehicle with an electric vehicle are reduced by more than 50 %. If we also purchase an appropriately dimensioned solar power plant we save up to 600 EUR per year, which pays for itself in just over 13 years and the net present value of the investment is over 860 EUR. Scenario analysis by cities shows well that the investment pays off more in cities with higher radiation. This does not mean that the investment does not pay off at places with less radiation, only the power of the solar power plant needs to be adjusted. Sensitivity analysis has shown that among the considered parameters, the final result is most influenced by radiation and the price of a solar power plant. Based on the results of the Monte Carlo simulation, we can conclude that the investment would always pays off. We can conclude that regardless of the location of power plants and the characteristics of consumption and driving habits the solar power plant can be dimensioned in a way that the investment pays off economically. We will not earn much, but if we buy an electric vehicle and a solar power plant primarily for the purpose of decarbonisation, purchase is a good decision.
Secondary keywords:	feasibility study;electric vehicles;solar power plants;scenario analysis;sensitivity analysis;Monte Carlo simulation;
Type (COBISS):	Master's thesis/paper
Study programme:	1000316
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za elektrotehniko
Pages:	XVII, 72 str.
ID:	13359935