The Use of Digital Twins in the Energy Sector: Selection and Verification of Tools for Modeling Hybrid Energy Supply Systems Based on Renewable Energy Sources

The aim of the work is to develop and test a set of measures to improve the efficiency of projects for the construction of hybrid energy complexes with power plants based on renewable energy sources by using digital twins. The paper shows the effectiveness of research and development of recommendations on the choice of parameters and modes of operation of hybrid power complexes having a diverse composition of generating plants and high dependence on natural uncertain factors at all stages of the life cycle using the developed universal digital twin, which was verified by the example of real power complexes with different equipment composition.

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Published
2025-03-24
DOI
https://doi.org/10.1109/smartindustrycon65166.2025.10986090
Primary Topic
Engineering Education and Technology
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article
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article

The Use of Digital Twins in the Energy Sector: Selection and Verification of Tools for Modeling Hybrid Energy Supply Systems Based on Renewable Energy Sources

Владимир Андреев, M. G. Tyagunov
Engineering Education and Technology
article

The Use of Digital Twins in the Energy Sector: Selection and Verification of Tools for Modeling Hybrid Energy Supply Systems Based on Renewable Energy Sources

Владимир Андреев, M. G. Tyagunov
article en

Abstract

The aim of the work is to develop and test a set of measures to improve the efficiency of projects for the construction of hybrid energy complexes with power plants based on renewable energy sources by using digital twins. The paper shows the effectiveness of research and development of recommendations on the choice of parameters and modes of operation of hybrid power complexes having a diverse composition of generating plants and high dependence on natural uncertain factors at all stages of the life cycle using the developed universal digital twin, which was verified by the example of real power complexes with different equipment composition.

Moscow Power Engineering Institute (RU)
Affordable and clean energy
Openalex Percentile: Top 86%
Engineering Education and Technology
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