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Analiza porabe premoga, izpustov CO2 in gospodarske rasti v Sloveniji : magistrsko delo
ID Budna, Aleš (Author), ID Vižintin, Goran (Mentor) More about this mentor... This link opens in a new window

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Abstract
V magistrskem delu so obravnavane skupne značilnosti in možne korelacije med porabo premoga, emisijami CO2, emisijsko produktivnostjo in gospodarsko rastjo v Sloveniji. S Pearsonovim koeficientom korelacije se je analizirala povezanost med navedenimi spremenljivkami ter se s pomočjo linearne regresije in metode najmanjših kvadratov, izdelalo napovedne matematične modele, s katerimi se lahko ocenijo trendi porabe premoga in emisij CO2 v prihodnosti. Povezanost med porabo premoga, emisijami in emisijsko produktivnostjo je znatna, medtem ko je korelacija med porabo premoga in gospodarsko rastjo minimalna, zato poraba premoga in s tem emisije nimajo pomembnega vpliva na gospodarsko rast. Matematični modeli kažejo dobro prileganje, kar je pogoj za zanesljivost napovedi. V nadaljevanju so obdelani tudi možni scenariji prehoda na ogljično nevtralnost in s tem povezano problematiko prihodnje oskrbe z električno energijo kot posledico prenehanja pridobivanja in uporabe premoga.

Language:Slovenian
Keywords:premog, emisije, povezanost, napovedovanje
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:NTF - Faculty of Natural Sciences and Engineering
Place of publishing:Ljubljana
Publisher:[A. Budna]
Year:2021
Number of pages:XIII, 68 str.
PID:20.500.12556/RUL-127796 This link opens in a new window
UDC:622
COBISS.SI-ID:71521539 This link opens in a new window
Publication date in RUL:23.06.2021
Views:1297
Downloads:92
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Secondary language

Language:English
Title:Analysis of coal consumption, CO2 emissions and economic growth in Slovenia : master's thesis
Abstract:
The master's thesis discusses the common characteristics and possible correlations between coal consumption, CO2 emissions, emission productivity and economic growth in Slovenia. Using the Pearson correlation coefficient, the correlation between these variables was analysed and, using linear regression and the least squares method, predictive mathematical models were developed that can be used to estimate trends in coal consumption and CO2 emissions in the future. The link between coal consumption, emissions and emission productivity is significant, while the correlation between coal consumption and economic growth is minimal. Therefore, coal consumption and with them emissions do not have a significant impact on economic growth. Mathematical models show a good fit, which is a condition for the reliability of the prediction. Possible scenarios of the transition to carbon neutrality and the related problems of future electricity supply as a consequence of the cessation of coal mining and use are also discussed below.

Keywords:coal, emissions, correlation, forecasting

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