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The role of energy storage in low carbon transition of the Czech energy system
Švíková, Kateřina ; Rečka, Lukáš (advisor) ; Kmeťková, Diana (referee)
This thesis provides an extensive literature review on promising energy stor- age technologies, batteries, and hydrogen while evaluating their current and future costs and performance metrics. Additionally, the data gathered from the reviewed literature are used for modeling purposes within the TIMES-CZ energy system model. Three scenarios, varying in cost projections, are formu- lated to evaluate the impact of storage technologies on the entire system. The findings demonstrate that storage technologies effectively shift excess electric- ity from low demand to peak demand resulting in increased overall electricity production in the Czech energy model. Keywords energy storage, battery, hydrogen, TIMES-CZ model Title The role of energy storage in low carbon transi- tion of the Czech energy system Author's e-mail 73632303@fsv.cuni.cz Supervisor's e-mail lukas.recka@czp.cuni.cz
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Transition to emission-free personal transportation in the Czech Republic
Kessler, Daniel ; Ščasný, Milan (advisor) ; Kmeťková, Diana (referee)
What is the future of electric vehicles? Road transportation significantly con- tributes to undesired emissions which can cause health issues and environmen- tal damage. Replacing conventional vehicles with electric vehicles can be an adequate solution. This thesis aims to forecast the level of adoption of elec- tric passenger vehicles in the Czech Republic until 2050, using monthly vehicle registry data from 2009 to 2022. Using the Bass diffusion model, we estimate innovation and imitation parameters to forecast (the first) incremental and cu- mulative adoption of battery electric and, partly, of plug-in hybrid vehicles, until 2050. We rely on an exogenously pre-defined passenger vehicle fleet since the approach based on endogenously determined stock fails to provide a cred- ible forecast. Due to the low adoption rate of battery electric vehicles before 2016, we examine how using more recent data or calibration of the innovation parameter may improve the forecasting model. We also model the replacements of battery electric vehicles after their retirement to derive a total number of new registrations. Additional forecasts are performed for different fleet sizes and retirement ages. We have found that the calibration-based forecast pro- vides a larger share of battery electric vehicles until 2030...
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Municipal Waste Management and Analysis of Influencing Factors with respect to Municipal Solid Waste Generation
Kmeťková, Diana ; Cahlík, Tomáš (advisor) ; Kopečná, Vědunka (referee)
This thesis presents the topic of municipal waste management in the Czech Republic and describes the current trends within this area. We analyse the data on the generation and treatment of municipal solid waste in the Czech Republic and then we compare several waste indicators in the EU countries. The main goal of the thesis is to describe the relationship between municipal solid waste generation (MSW) and socio-economic factors. In order to identify the variables that might have a significant impact on the generation of MSW, we carry out a panel data regression using data from 28 EU countries over a time period from 1995 to 2017. We present four model specifications that were created based on the studied research articles. Our findings suggest that GDP and income have a significant positive impact on MSW generation, which is in accordance with the majority of research works. On the other hand, two other significant variables, population and density, are estimated to be negatively related to MSW production. Moreover, urbanization and unemployment rate result to be insignificant. 1
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Nonparametric tests of independence
Kmeťková, Diana ; Pawlas, Zbyněk (advisor) ; Hlubinka, Daniel (referee)
The main objective of this thesis is the presentation regarding the problem of testing independence between two random variables in the nonparametric model of continuous cumulative distribution functions. Firstly, the reader is informed with basic notions from the theory of independence and rank tests. Afterwards, few of the most common methods for testing independence are introduced. In the beginning, the test based on Pearson's correlation coefficient is mentioned as a representative for parametric tests, then we continue with nonparametric tests, such as test based on Spearman's, Kendall's and distance correlation coefficient. We focus in better detail on Hoeffding's test of independence, which results to be consistent against all alternatives in the model of continuous cumulative distribution functions. In the end, we compare and evaluate presented methods for testing independence using simulations in R environment.
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