Improving power plant technology to increase energy efficiency of autonomous consumers using geothermal sources
Abstract: The significance of this study is underscored by the immense potential of binary power plants in the contemporary world. These plants have a pivotal role to play in supplying heat to homes, facilitating greenhouse heating, and supporting air conditioning systems. The purpose of the study is to provide recommendations on eliminating errors in the processes of improving and implementing geothermal plants and analysing their functioning during electricity generation. The analytical method, classification, functional, statistical, synthesis, and others should be noted among the methods used. The features of geothermal plants in Kazakhstan were noted, their differences were analysed, and errors that are made during the operation of power plants to increase the energy efficiency of consumers and the causes of errors were analysed. Uncertainties in the development and their impact on the functioning of geothermal power plants were identified. The practical value lies in the application of the identified results, solving errors in the development and implementation of a binary power plant to improve the energy efficiency of consumers, the reliability of the use of geothermal plants in the region, considering various factors, which will help provide recommendations for the appropriate use of the mechanism.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Improving power plant technology to increase energy efficiency of autonomous consumers using geothermal sources ; volume:11 ; number:1 ; year:2023 ; extent:10
Energy Harvesting and Systems ; 11, Heft 1 (2023) (gesamt 10)
- Creator
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Orynbayev, Seitzhan
Tokmoldayev, Amanzhol
Abdlakhatova, Nazym
Zhanpeisova, Aizhan
Tumanov, Issakul
- DOI
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10.1515/ehs-2023-0082
- URN
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urn:nbn:de:101:1-2024022013174185413823
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 11:01 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Orynbayev, Seitzhan
- Tokmoldayev, Amanzhol
- Abdlakhatova, Nazym
- Zhanpeisova, Aizhan
- Tumanov, Issakul
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