Formation of an economic assessment mechanism for anthropogenic risks of modern energy production

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Research objective. The article discusses the problems of assessing anthropogenic risks in the industry (energy sector) in order to develop optimal investment decisions. The factors of production that affect capitalization, economic efficiency of production activities, and the safety of energy production are analyzed. It is extremely important to take a comprehensive and balanced approach to achieving these goals in the electric power industry, an infrastructure sector of the economy whose results affect all sectors of the national economy. The human capital of an enterprise is a crucial factor in the production of a modern economy, an economy of knowledge. The assessment of this factor is necessary for managing the efficiency of production activities, investment attractiveness, and financial planning of companies in the real sector, especially in the energy sector. The article presents methodological approaches to the formation of technologies for assessing and predictive analysis of anthropogenic risks at electric power enterprises. The analysis of production status indices is used as a scientific basis for assessing anthropogenic risks. The author has set and solved the problem of finding the rational value of parameters characterizing anthropogenic risks, substantiated approaches to assessing the damage caused by their implementation, and defined the principles for building a system of economic assessment and taking them into account in strategic planning of economic activities. Using the example of a specific research project, the article demonstrates the possibility of increasing the economic efficiency of energy enterprises by choosing rational strategies and conducting predictive analysis of business development scenarios. Based on the conducted experiments and scientific analysis of big data (Big Data), it has been proven that the presented mechanism allows for a valid and adequate assessment of the human capital of energy subjects and the effectiveness of investments in it.

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Sobre autores

Kirill Zimin

JSC Rosseti Scientific and Technical Center

Autor responsável pela correspondência
Email: zimin_ka@ntc-power.ru
Código SPIN: 1917-2287

Deputy General Director for Engineering

Rússia, Moscow

Bibliografia

  1. Akulichev V.O., Grabchak E.P., Mishcheryakov S.V., Talalaev A.A. Digital Technologies for Managing Anthropogenic Risks in the Electric Power Industry. Reliability and Safety of the Power Industry. 2020. Vol. 13, No. 4. Pp. 248–249. (In Rus.). doi: 10.24223/1999-5555-2020-13-4-248-256.
  2. Afanasyev V.Ya., Zimin K.A., Mishcheryakov S.V. Technologies of predictive analysis of economic efficiency of enterprises on the basis of management of personnel experience. Problems of Economics and Management of the Oil and Gas Complex. 2025. V. 244, No. 4. Pp. 18–26. (In Rus.). EDN: PCSVBA.
  3. Grabchak E.P., Zuikova O.V., Mishcheryakov S.V. Professional experience and safety of energy production. M. Reliability and safety of the energy industry vol. 2022. V. 15, No. 3. Pp. 183–189. (In Rus.). EDN: YBMLEK.
  4. Grabchak E.P., Mishcheryakov S.V. Digital Assessment of the Reliability of the Production System of Electric Power Industry Subjects. Fourth International Conference "Business Management in the Digital Economy", ed. Arenkov I. A. — St. Petersburg: IPTs SPbGUPTD, 2021. ISBN 978-5-7937-2101-1. (In Rus.).
  5. Zimin K.A., Mishcheryakov S.V. Application of predictive analysis methods for the state of human capital in the management of electric grid facilities. Energy of the Unified Grid. 2024. V. 72, No. 1. Pp. 10–19. (In Rus.). EDN: LSPDVZ.
  6. Ipatov P.L., Martens V.K., Sorokin A.V. [et al.]. Professional reliability of NPP personnel: concept and technology of quantitative assessment, management practice. Saratov Publishing House of Saratov University. University, 2003. 232 p. (In Rus.).
  7. Mishcheryakov S.V. Management of anthropogenic risks of modern production. De'Libri, 2022, UDC 330.14.01., LBC 13.451, ISBN 978-5-4491-1219-4, M., KEU, p. 515. (In Rus.).
  8. Revenko N.S. The digital economy of the USA in the era of information globalization: current trends. USA and Canada: economics, politics, culture. 2017. No. 8 (572). Pp. 78–100. (In Rus.).

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2. Fig. 1. Dependence of the number of outages in 110 kV networks on the season.

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3. Fig. 2. Business Process Diagram of Rosseti Center and Volga Region.

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