Abstract:wkpl essemyev a,b D tons igerer b,e D omn wendelevith c,d, * D xurkht hkiyev a a xzryev niversityD xtionl vortory estnD vortory inergyD iology nd glimteD SQ uny tyr veFD HIHHHH estn b ehnishe niversit¤ t ferlinD orkgroup for snfrstruture oliy @sAD trße des IUF tuni IQSD IHTPQ ferlin c qermn snstitute for ionomi eserh @hs ferlinAD heptF inergyD rnsportD invironmentD wohrenstrF SVD IHIIU ferlin d rumoldt niversi¤ t zu ferlinD esoure ionomis qroupD nter den vinden TD IHWWW ferlin e priedrihEelexnderEniversit¤ t i… Show more
“…Table 2 provides an overview of the data in an aggregated fashion.Fig. 2Conventional and renewable power plants capacity in Kazakhstan in 2015.Source: Own figure based on [1].…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…This article explains the input data (excel file) which was used for a detailed analysis of the electricity system of [1] and to provide additional information on data acquisition and compilation. A combination of quantitative and qualitative approaches was used in the data analysis of network topology and characteristics, demand variation and distribution, technical and economic parameters for conventional and renewable generation, as well as availability time series, and imports and exports.…”
The data presented in this article are related to the research article “A spatial electricity market model for the power system: The Kazakhstan case study” (M. Assembayeva et al. 2018). This data article presents information on network topology and characteristics, demand variation and distribution, technical and economic parameters for conventional and renewable generation, as well as availability time series, and imports and exports. The dataset is made publically available to allow for more and independent analysis of this emerging energy market.
“…Table 2 provides an overview of the data in an aggregated fashion.Fig. 2Conventional and renewable power plants capacity in Kazakhstan in 2015.Source: Own figure based on [1].…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…This article explains the input data (excel file) which was used for a detailed analysis of the electricity system of [1] and to provide additional information on data acquisition and compilation. A combination of quantitative and qualitative approaches was used in the data analysis of network topology and characteristics, demand variation and distribution, technical and economic parameters for conventional and renewable generation, as well as availability time series, and imports and exports.…”
The data presented in this article are related to the research article “A spatial electricity market model for the power system: The Kazakhstan case study” (M. Assembayeva et al. 2018). This data article presents information on network topology and characteristics, demand variation and distribution, technical and economic parameters for conventional and renewable generation, as well as availability time series, and imports and exports. The dataset is made publically available to allow for more and independent analysis of this emerging energy market.
“…Based on previous research, this paper tries to explore Kazakhstan's CO 2 emissions in the post-Kyoto Protocol era, which refers to both production-and consumption-based analysis. Assembayeva et al (2018) focused on Kazakhstan's electricity system and used a techno-economic model to account for related particularities; Tokbolat et al (2018) evaluated the efficiency of energy consumption of residential buildings in Astana and Kerimray, as well as the decarbonisation of the residential sector (Kerimray, 2018;Kerimray et al, 2018b); Onyusheva et al (2017) researched a similar topic in the transport and energy sectors. For empirical studies, Li et al (2018) adopted the Logarithmic Mean Divisia Index (LMDI) decomposition and the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model to study major driving factors of CO 2 emissions in Kazakhstan from 1992 to 2013 and Kerimray et al (2018c) used LMDI to analyse energy intensity; Xiong et al (2015) explored the development of Kazakhstan's low-carbon economy by decoupling relationship analysis, reflecting the relationship between energy consumption and economic growth.…”
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“… Ahmad et al (2017) discussed the potential of the nuclear industry for electricity generation in long-term perspectives. Assembayeva et al (2018) indicated the economic model of the power generation sector in Kazakhstan. According to Karatayev et al (2016) , in case of Kazakhstan, there are three ES definitions provided in a number of documents including National Development Strategy “Kazakhstan 2030” (Directive № 377 of November 05, 1997), Nuclear Development Programme (Directive № 728 of June 29, 2011) and Concept of Developing the Fossil Fuel and Power Generation complex up to 2030 (Directive № 724 of June 28, 2014).…”
Section: Energy Security Conceptualisationmentioning
In the international arena, it is often the case that in countries which largely depend on foreign resources, energy security, and its key components i.e. security of energy supply, environment, technology, geopolitical and economic factors, is a subject of concern. However, due to the abundance of fossil fuel resources in resource-rich exporting nations, there is a lack of understanding of the risks around energy security and accordingly often a policy vacuum. Conceptualising energy security from different geopolitical vantage points will allow future concerns around energy supply security, climate change, and regional economic crises to be evaluated. By using policy documents and developing a time series approach and normalized z-scores for a range of comparable metrics this article compares the energy security performance in six Caspian Sea countries individually and collectively. The article results show that Azerbaijan, Iran, Kazakhstan made significant progress in energy security since 1990, while energy security indicators in Russia, Uzbekistan, and Turkmenistan regressed. Iran has a leading position in energy security performance, while Uzbekistan and Turkmenistan have the lowest level of the energy security indicators compare to other region countries. This article both contributes a replicable definition of energy security that can be undertaken for other global regions, and begins to incorporate diversification and renewables development to enhance domestic energy security assessment.
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