«Automation and Informatization of the fuel and energy complex»

Digital twins of pipeline systems: purpose, structure, tasks and methodological approaches to implementation

UDC: [519.6+004.9]:621.6
DOI: -

Authors:

¹ Melentiev Energy Systems Institute SB RAS, Irkutsk, Russia

Keywords: energy pipeline systems, digitalization, digital twins, performance dynamics, probabilistic modeling

Annotation:

The author of the article considers the problems and possible approaches to the development of digital twins of energy pipeline systems (DT EPS) for heat, water, oil, gas supply, etc. Against the background of the analysis of general ideas and practice of DT implementation in different areas of digitalization, the main requirements and areas of possible application of DT EPS as an integral part of EPS on the way to their transformation into cyber-physical systems are specified. The application of the concepts of "end-to-end", hierarchical and object-oriented modeling of EPS is proposed, which allow avoiding unproductive duplication of DT to be used at different time and technological levels. The characteristics of DT EPS structure, the content of the main models, their interaction and the main tasks of implementation are given. For the central task of EPS dynamics functioning adequate modeling with account for the stochastics of external influences and the uncertainty of the internal state, a constructive approach is proposed for obtaining probabilistic values of almost any indicators of EPS functioning – efficiency, admissibility, controllability, identifiability, etc. – based on the use of DP.

Bibliography:

1. Hasan M. Digital twin market: Analyzing growth and emerging trends: Report IoT Analytics. – 2023. – URL: https://iot-analytics.com/digital-twin-market-analyzing-growth-emerging-trends/
2. Heluany J.B., Gkioulos V. A review on digital twins for power generation and distribution // Int. J. of Information Security. – 2024. – Vol. 23, Issue 2. – P. 1171–1195. – DOI: 10.1007/s10207-023-00784-x
3. Digital twin modeling for district heating network based on hydraulic resistance identification and heat load prediction / Zheng Xuejing, Shi Zhiyuan, Wang Yaran [et al.] // Energy. – 2024. – Vol. 288. – P. 129726. – DOI: 10.1016/j.energy.2023.129726
4. Tsifrovizatsiya i tsifrovaya transformatsiya teploenergetiki kak faktor povysheniya effektivnosti teplovoy infrastruktury (obzor) / E.Yu. Golovina, E.V. Samarkina, N.E. Buynov, M.V. Evloeva // Teploenergetika. – 2022. – № 6. – S. 3–16. – DOI: 10.1134/S0040363622060042
5. Sozdanie tsifrovogo dvoynika teplovoy seti v razlichnykh programmnykh kompleksakh / A.V. Shishkin, P.V. Meshalova, S.A. Zenin [i dr.] // Nadezhnost' i bezopasnost' energetiki. – 2022. – T. 15, № 3. – S. 166–174. – DOI: 10.24223/1999-5555-2022-15-3-166-174
6. Movva S.S. Development of Digital Twins for Urban Water Systems // J. of Technology and Systems. – 2024. – Vol. 6, No. 3. – P. 19–33. – DOI: 10.47941/jts.1833
7. Alekseev S.E., Alekseeva T.R. Razvitie mekhanizmov tsifrovoy transformatsii vodokanalov // Vodosnabzhenie i sanitarnaya tekhnika. – 2020. – № 2. – S. 32–39. – DOI: 10.35776/MNP.2020.02.06
8. Kritskiy A.V., Yusupov A.R., Mart'yanov A.E. Tsifrovoy dvoynik – novyy instrument v razvitii vodoprovodno-kanalizatsionnogo predpriyatiya krupnogo goroda // Nailuchshie dostupnye tekhnologii vodosnabzheniya i vodootvedeniya. – 2020. – № 2. – S. 24–31.
9. Obzor sovremennykh programmnykh kompleksov i kontseptsii tsifrovogo dvoynika dlya prognozirovaniya avariynykh situatsiy na ob"ektakh neftegazovoy otrasli / K.N. Abdrakhmanova, A.V. Fedosov, K.R. Idrisova [i dr.] // Elektron. nauch. zhurn. Neftegazovoe delo. – 2020. – № 3. – S. 71–91. – DOI: 10.17122/ogbus-2020-3-71-91
10. Kazak A.S., Oleynikov A.V. Primenenie metodov sistemnogo analiza dlya postroeniya tsifrovykh dvoynikov fragmentov gazotransportnykh sistem na osnove neyrosetevogo modelirovaniya (osnovnye polozheniya metodologii analiza i sinteza) // Avtomatizatsiya i informatizatsiya TEK. – 2024. – № 1(606). – S. 5–12.
11. Leonov D.G., Papilina T.M., Stepankina O.A. Razvitie arkhitektury raschetno-integratsionnoy platformy postroeniya tsifrovykh dvoynikov i intellektual'nykh sredstv podderzhki prinyatiya resheniy dlya ob"ektov ESG // Avtomatizatsiya i informatizatsiya TEK. – 2023. – № 9(602). – S. 6–14. – DOI: 10.33285/2782-604X-2023-9(602)-6-14
12. Grieves M. Digital Twin Certified: Employing Virtual Testing of Digital Twins in Manufacturing to Ensure Quality Products // Machines. – 2023. – Vol. 11, Issue 8. – P. 808. – DOI: 10.3390/machines11080808
13. GOST R 57700.37-2021. Komp'yuternye modeli i modelirovanie. Tsifrovye dvoyniki izdeliy. Obshchie polozheniya. – Vved. 2022–01–01. – M.: Rossiyskiy in-t standartizatsii, 2021. – IV, 10 s. – URL: https://docs.cntd.ru/document/1200180928
14. ISO 23247. Automation systems and integration – Digital twin framework for manufacturing / Technical Committee ISO/TC 184. Automation systems and integration. Subcommittee SC 4. Industrial data. – 2021. – URL: www.iso.org/obp/ui/ru/#iso:std:iso:23247:-1:ed-1:v1:en/
15. Hasan M. Decoding Digital Twins: Exploring the 6 main applications and their benefits: Report IoT Analytics. – 2023. – URL: https://iot-analytics.com/6-main-digital-twin-applications-and-their-benefits/
16. Novitsky N.N. Actual directions of digitalization of pipeline systems and methods of analysis of their properties as cyber-physical objects // E3S Web of Conf. Vol. 397. Proc. of 2022 Conf. on Mathematical Models and Methods of the Analysis and Optimal Synthesis of the Developing Pipeline and Hydraulic Systems, online, June 19, 2023. – DOI: 10.1051/e3sconf/202339703001
17. Alexeev A.V., Novitsky N.N. The information and computing complex "ANGARA-VS" for end-to-end modeling of water supply systems when developing development schemes, scheduling modes, and dispatching management // MATEC Web of Conf. Vol. 212. Proc. of 2018 Int. Scientific Conf. "Investment, Construction, Real Estate: New Technologies and Special-Purpose Development Priorities" (ICRE 2018), online, Oct. 15, 2018. – DOI: 10.1051/matecconf/201821206001
18. Multilevel modeling and optimization of large-scale pipeline systems operation / N.N. Novitskiy, A.V. Alekseev, O.A. Grebneva [et al.] // Energy. – 2019. – Vol. 184. – P. 151–164. – DOI: 10.1016/j.energy.2018.02.070
19. Novitskiy N.N., Mikhaylovskiy E.A. Ob"ektno-orientirovannoe modelirovanie gidravlicheskikh tsepey // Vestn. IrGTU. – 2012. – № 7(66). – S. 170–176.
20. Novitskiy N.N., Vanteeva O.V. Modelirovanie stokhastiki potokoraspredeleniya v gidravlicheskikh tsepyakh // Izv. RAN. Energetika. – 2011. – № 2. – S. 122–131.