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Distributed Energy as a Megatrend of Audit of Investment Processes of the Energy Complex

Author

Listed:
  • Natalie Gryzunova

    (Department of Sustainable Development Finance, Plekhanov Russian University of Economics, 117997 Moscow, Russia)

  • Kirill Vedenyev

    (LLC “ETS-Energo”, 115533 Moscow, Russia)

  • Victoria Manuylenko

    (Department for Finance and Credit, North-Caucasus Federal University, 355017 Stavropol, Russia)

  • Igor Keri

    (Department of Sustainable Development Finance, Plekhanov Russian University of Economics, 117997 Moscow, Russia)

  • Michał Bilczak

    (Department of Economic Sciences, University of Warmia and Mazury in Olsztyn, 10719 Olsztyn, Poland)

Abstract

The global trend is constantly increasing investments in strategic sectors of the economy, for example the electric power industry, which, in many countries, is becoming diversified and dispersed due to the multitude of entities investing in energy production and renewable resources, which leads to an increase in the heterogeneity of investment decisions. There is an urgent need to control the movement of investments, budget funds, as well as their development in the process of implementing investment programs of energy companies. The control of the movement of investments is the most promising direction of studying the subject of finance and audit. The increasing volume of public and private targeted investments in the energy sector and the lack of control over the effectiveness of investment projects (since each program contains several thousand lists of projects) necessitated the introduction of additional regulation of budget spending. The development of a mathematical apparatus for such regulation led to the creation in the Russian Federation of an institute of an independent public technological and price audit (TPA). The TPA is seen as a mechanism to ensure an effective project evaluation and selection process. This article describes methodological improvements using power system optimization models. The Integrated MARKAL-EFOM System (TIMES) was developed as part of the Energy Technology Systems Analysis Program of the IEA-ETSAP, an international community that uses long-term energy scenarios to conduct in-depth energy and environmental analyzes. This approach includes two different but complementary systematic approaches to energy modeling: an engineering approach and an economic approach. The same approach is used when conducting a TSA, when an investment object is evaluated as a set of technological and price parameters. The article considers a model of resource allocation in the energy sector and a mechanism for using TPA for investment projects with state participation in a natural monopoly. An approach to the financial and long-term distribution of investments of electric power companies based on the search for a balance of interests of the supplier and consumer and available energy sources is proposed. A model has been developed to find the optimal plan of technical solutions, taking into account the balance of the possibilities of the electric power industry and the needs of the economy. The relevance of the article is due to the requirements of investment efficiency, since the prevailing share in the costs is occupied by the costs of equipment and the construction of power plants.

Suggested Citation

  • Natalie Gryzunova & Kirill Vedenyev & Victoria Manuylenko & Igor Keri & Michał Bilczak, 2022. "Distributed Energy as a Megatrend of Audit of Investment Processes of the Energy Complex," Energies, MDPI, vol. 15(23), pages 1-16, December.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9225-:d:994406
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    References listed on IDEAS

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    1. Salvucci, Raffaele & Tattini, Jacopo & Gargiulo, Maurizio & Lehtilä, Antti & Karlsson, Kenneth, 2018. "Modelling transport modal shift in TIMES models through elasticities of substitution," Applied Energy, Elsevier, vol. 232(C), pages 740-751.
    2. Zakari, Abdulrasheed & Tawiah, Vincent & Khan, Irfan & Alvarado, Rafael & Li, Guo, 2022. "Ensuring sustainable consumption and production pattern in Africa: Evidence from green energy perspectives," Energy Policy, Elsevier, vol. 169(C).
    3. Frank, Murray Z. & Goyal, Vidhan K., 2003. "Testing the pecking order theory of capital structure," Journal of Financial Economics, Elsevier, vol. 67(2), pages 217-248, February.
    4. Liu, Haiying & Khan, Irfan & Zakari, Abdulrasheed & Alharthi, Majed, 2022. "Roles of trilemma in the world energy sector and transition towards sustainable energy: A study of economic growth and the environment," Energy Policy, Elsevier, vol. 170(C).
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