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Methodology of a Comprehensive Assessment of the Potential of Regional Energy

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Advances in Artificial Systems for Power Engineering II (AIPE 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 119))

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Abstract

The socio-economic development of the regions is unthinkable without continuous provision of the energy generation system with energy resources. At the same time, it is necessary to be guided by energy conservation, resource renewal, and environmental safety. Any changes to the existing energy system in the region should be justified and carried out after a systematic analysis and assessment of the potential of regional energy. A system analysis and evaluation of the possibility of regional energy allow us to identify the shortcomings of the existing energy system and identify opportunities for the construction of new thermal power plants and technical re-equipment and modernization of regional energy facilities. The article discusses a methodology for assessing the potential of regional energy based on a systematic approach. The process involves the assessment of both traditional energy sources in the region and renewable “green” energy sources. System analysis, as the primary research method, allows us to identify regional features of the socio-economic sphere, the location of settlements and infrastructure facilities, the formed energy system, natural conditions. The proposed methodology is universal and can be used to assess the potential of the energy system of any region. The practical value of the study lies in the application of the proposed methodology will allow the leadership of the area to make more rational and effective decisions regarding the development of regional energy.

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Mutovkina, N. (2022). Methodology of a Comprehensive Assessment of the Potential of Regional Energy. In: Hu, Z., Wang, B., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Power Engineering II. AIPE 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 119. Springer, Cham. https://doi.org/10.1007/978-3-030-97064-2_19

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