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Digital twins as a key element of the energy of the future: the connection with Kondratiev’s theory of long waves

https://doi.org/10.17073/2072-1633-2025-3-1463

Abstract

The article examines the role of digital twin technology as a key instrument of the digital transformation of the energy sector. In economic science, N.D. Kondratiev’s long wave theory, which postulates that the development of the world economy follows cyclical patterns of prolonged periods of growth and decline (~50–60 years), has gained wide recognition. The study applies a systematic analysis of scientific literature and practical cases of digital twin implementation in the energy sector, correlating these findings with the phases of long economic cycles. Special attention is given to the ways in which digital twins can support the integration of renewable energy sources, enhance the reliability of power systems, and accelerate the energy transition. The novelty of the research lies in considering digital twins not only as a tool for optimizing individual processes but also as one of the basic innovations of the emerging sixth technological paradigm focused on sustainable development. The article argues that digital twins act as a bridge between digital and “green” transformations, contributing to the formation of a new energy paradigm. It concludes that this technology has significant potential in the context of the forthcoming sixth Kondratiev long wave.

About the Authors

S. E. Gvozdyanyy
National University of Science and Technology “MISIS”; JSC “Vyksa Metallurgical Plant”
Russian Federation

Semyon E. Gvozdyanyy – Postgraduate Student,

4-1, Leninskiy Ave., Moscow 119049;

45, Brat’yev Batashevykh Str., Vyksa, Nizhny Novgorod Region 607060.



A. V. Myaskov
National University of Science and Technology “MISIS”
Russian Federation

Alexander V. Myaskov – Dr.Sci. (Econ.), Professor, Director of the Mining Institute,

4-1 Leninskiy Ave., Moscow 119049.



References

1. Strielkowski W., Rausser G., Kuzmin E. Digital revo- lution in the energy sector: Effects of using digital twin technology. In: Kumar V., Leng J., Akberdina V., Kuzmin E. (eds.). Digital Transformation in Industry. Springer; 2022:43–55. https://doi.org/10.1007/978-3-030-94617-3_4

2. Fuller A., Fan Z., Day C., Barlow C. Digital Twin: Enabling technologies, challenges and open research. IEEE Access. 2020;8:108952–108971. https://doi.org/10.1109/ACCESS.2020.2998358

3. Jones D., Snider C., Nassehi A., Yon J., Hicks B. Characterising the Digital Twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology. 2020;29(A):36–52. https://doi.org/10.1016/j.cirpj.2020.02.002

4. Qi Q., Tao F. Digital Twin and Big Data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access. 2018;6:3585–3593. https://doi.org/10.1109/ACCESS.2018.2793265

5. Thompson W.R. Energy, Kondratieff Waves, Lead Economies, and Their Evolutionary Implications. Journal of Globalization Studies. 2012;3(2):167–194.

6. Н.Д. Кондратьев: кризисы и прогнозы в свете теории длинных волн. Взгляд из современности. Под. ред. Л.Е. Гринина, А.В. Коротаева, В.М. Бондаренко М.: Учитель; 2017. 384 с.

7. Reuter T. Transformations to sustainability: Why integrated social change requires a political process based on inclusive communication. Cadmus. 2021;4(5):184–190.

8. Choi S., Jain R., Zhang H. Digital Twin + AI: Control room of the future. National Renewable Energy Laboratory (NREL), 2023. Available at: https://docs.nrel.gov/docs/fy24osti/87050.pdf

9. Palensky P., Cvetkovic M., Gusain D., Joseph A. Digital twins and their use in future power systems. Digital Twin. 2022;1:4. https://doi.org/10.12688/digitaltwin.17435.2

10. Emily N., Bastian N.D. Synthetic environments for the cyber domain: a survey on advances, gaps, and opportunities. The Cyber Defense Review. 2023;8(2):91–104.

11. Motlagh N.H., Mohammadrezaei M., Hunt J., Zakeri B. Internet of Things (IoT) and the energy sector. Energies. 2020;13(2):494. https://doi.org/10.3390/en13020494

12. Grieves M. Digital Twins: Past, present, and future. In: Stark R., Damerau T. (eds.). Digital Twins – Concepts and applications. Springer; 2023. P. 97–121. https://doi.org/10.1007/978-3-031-21343-4

13. Yao J.-F., Yang Y., Wang X.-C., Zhang X.-P. Syste- matic review of digital twin technology and applications. Visual Computing for Industry, Biomedicine, and Art. 2023;6(1):10. https://doi.org/10.1186/s42492-023-00137-4

14. Singh M., Fuenmayor E., Hinchy E.P., Qiao Y., Murray N., Devine D. Digital Twin: Origin to future. Applied System Innovation. 2021;4(2):36. https://doi.org/10.3390/asi4020036

15. Gan P.Y., Li Z. Quantitative study on long term global solar photovoltaic market. Renewable and Sustainable Energy Reviews. 2015;46(С):88–99. https://doi.org/10.1016/j.rser.2015.02.041

16. Cui F. Research on future development and challenges of new energy. Advances in Economics, Management and Political Sciences. 2025;162(1):66–72. https://doi.org/10.54254/2754-1169/2025.20068

17. Attaran M., Celik B.G. Digital Twin: Benefits, use cases, challenges, and opportunities. Decision Analytics Journal. 2023;6(80):100165. https://doi.org/10.1016/j.dajour.2023.100165

18. Bradley P., Whittard D., Green L., Brooks I., Hanna R. Empirical research of green jobs: A review and reflection with practitioners. Sustainable Futures. 2025;9:100527. https://doi.org/10.1016/j.sftr.2025.100527

19. Schmidt C., Volz F., Stojanovi, L., Sutschet G. Increasing interoperability between Digital Twin standards and specifications: Transformation of DTDL to AAS. Sensors. 2023;23(18):7742. https://doi.org/10.3390/s23187742

20. Kopec J., Pekarcikova M., Lachvajderova L., Trebuňa M. Digital Twin, virtual reality and augmented reality and their use. In: Conference “Invention for Enterprise”. Conference paper. Žilina, October 2021. Available at: https://www.researchgate.net/publication/366192832_digital_twin_virtual_reality_and_augmented_reality_and_their_use#fullTextFileContent

21. Pigni F., Watson R.T., Piccoli G. Digital Twins: Representing the future. SSRN Electronic Journal. 2021. https://doi.org/10.2139/ssrn.3855535


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For citations:


Gvozdyanyy S.E., Myaskov A.V. Digital twins as a key element of the energy of the future: the connection with Kondratiev’s theory of long waves. Russian Journal of Industrial Economics. 2025;18(3):346-357. (In Russ.) https://doi.org/10.17073/2072-1633-2025-3-1463

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ISSN 2072-1633 (Print)
ISSN 2413-662X (Online)