National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
The impacts of battery electric vehicles production on material use
Pěnkavová, Markéta ; Ščasný, Milan (advisor) ; Janda, Karel (referee)
The main objective of this thesis is to estimate the material impact of the BEV production with the main focus on the BEV battery material demand. This is done using the life cycle analysis (LCA) along with detailed analysis of the battery material demand which is then linked to dynamic computable general equilibrium (CGE) model. The hybrid form of a fully dynamic CGE model is used to estimate the vehicle stock and annual new registrations for five different vehicle technologies (BEV, PHEV, Petrol, Diesel, CNG) in 2015 to 2050 in the Czech republic. These estimates are done for the business as usual scenario and then six different policy scenarios. The effects of direct government subsidy on BEV purchase are modelled along with the impacts of increase in ICEV registration tax, mineral oil tax surge or an expansion in charging stations market. Consequently, the results from CGE modelling are combined with LCA as the detailed BEV battery material composition data are used to estimate the material impact of increased BEV usage. The results from CGE modelling show a clear increasing trend in BEV usage in the future years for the baseline scenario, in addition, the modelled government scenarios incentivizing the BEV usage were shown to have a pos- sitive effect on BEV sales in the Czech republic while...
Dynamics of Bitcoin mining profitability and its break-even electricity costs
Pěnkavová, Markéta ; Krištoufek, Ladislav (advisor) ; Hronec, Martin (referee)
The aim of this thesis is to investigate the Bitcoin mining profitability throughout the years 2014 to 2020 with the focus on the year 2020. The analysis is based on the break-even electricity price estimates which are obtained by using a set of variables entering the Bitcoin mining process such as the block reward, transaction fees, network hash rate or power consumption. The calculations are performed under the assumption that miner owns the most efficient mining hardware available at the time while disregarding the original investments in the necessary hardware. To further examine the relationship between the estimated break-even electricity price and the Bitcoin market price the cointegration analysis is performed employing a vector error correction model as the series seem to be nonstationary. The final results illustrate the substantial effect the Bitcoin market price has on the break-even electricity price estimates to the extent that there is rather long-term reaction in the break-even electricity price values to the shocks in the Bitcoin market price. The findings from the research offer insights to the Bitcoin mining process suggesting that an access to extremely low electricity prices is needed to earn any profits from the Bitcoin mining activity in 2020.

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2 Pěnkavová, Marika
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