A Forecast of the "Digital Twin" Technology Introduction in the Fuel and Energy and Mineral Resources Complexes

The article considers a forecast for the development of the "Digital Twin" technology up to 2035 for domestic companies relating to the fuel and energy and mineral resources complexes. The possibility of technology implementation is assessed, and the problems arising during its implementation are analyzed. Systematization and generalization of sources on the topic are used as the research method. Three forecast scenarios are modeled: basic, negative and innovative. The forecast is done proceeding from the basic scenario and was elaborated considering the factors that take into account the influence of the political environment, economic environment of companies, availability of skilled personnel, import substitution processes, and changes in legislation. The study results can be used by fuel and energy complex companies to identify challenges encountered in implementing the digital twin, and by the government to identify financial support measures for the development of the technology. A conclusion has been drawn that Russian fuel and energy complex companies are unable to implement digital twin technology on a mass scale until 2035 unless financial support measures are provided and additional university training programs are set up. The import substitution problem will remain unsolved: the dependence on China's market of instrumentation and control (I&C) devices will only decrease to 65% by 2035.

Authors

Publication Details

Journal
Vestnik MEI
Published
2024-12-25
DOI
https://doi.org/10.24160/1993-6982-2024-6-30-37
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Forecast of the "Digital Twin" Technology Introduction in the Fuel and Energy and Mineral Resources Complexes

T.O. Gushchina, Pavel A. Trukhanov, Egor Sergeev, Svetlana M. Mironova et al.
Vestnik MEI
Economic and Technological Systems Analysis
article

A Forecast of the "Digital Twin" Technology Introduction in the Fuel and Energy and Mineral Resources Complexes

T.O. Gushchina, Pavel A. Trukhanov, Egor Sergeev, Svetlana M. Mironova, A. I. Ovcharenko, Vladimir Tulsky, Stepan Plekhanov
article en

Abstract

The article considers a forecast for the development of the "Digital Twin" technology up to 2035 for domestic companies relating to the fuel and energy and mineral resources complexes. The possibility of technology implementation is assessed, and the problems arising during its implementation are analyzed. Systematization and generalization of sources on the topic are used as the research method. Three forecast scenarios are modeled: basic, negative and innovative. The forecast is done proceeding from the basic scenario and was elaborated considering the factors that take into account the influence of the political environment, economic environment of companies, availability of skilled personnel, import substitution processes, and changes in legislation. The study results can be used by fuel and energy complex companies to identify challenges encountered in implementing the digital twin, and by the government to identify financial support measures for the development of the technology. A conclusion has been drawn that Russian fuel and energy complex companies are unable to implement digital twin technology on a mass scale until 2035 unless financial support measures are provided and additional university training programs are set up. The import substitution problem will remain unsolved: the dependence on China's market of instrumentation and control (I&C) devices will only decrease to 65% by 2035.

Vestnik MEI(6)
Responsible consumption and production
Openalex Percentile: Top 57%
Economic and Technological Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Forecast of the "Digital Twin" Technology Introduction in the Fuel and Energy and Mineral Resources Complexes — T.O. Gushchina, Pavel A. Trukhanov, et al. · Vestnik MEI (2024) | TGRS Research Map | TGRS