| Issue |
E3S Web Conf.
Volume 209, 2020
ENERGY-21 – Sustainable Development & Smart Management
|
|
|---|---|---|
| Article Number | 02019 | |
| Number of page(s) | 7 | |
| Section | Session 1. Towards Intelligent Energy Systems | |
| DOI | https://doi.org/10.1051/e3sconf/202020902019 | |
| Published online | 23 November 2020 | |
Development Of Digital Twins And Digital Shadows Of Energy Objects And Systems Using Scientific Tools For Energy Research
1 Doctor of Technical Sciences, Professor, Chief Researcher, Head of department of Artificial intelligence system, MESI SB RAS, Lermontov str. 130, Irkutsk
2 Ph.d., Senior Researcher, department of Artificial intelligence system, MESI SB RAS, Lermontov str. 130,
* Corresponding author: amassel@isem.irk.ru
The article discusses an approach to the construction of digital twins and digital shadows, based on the use of scientific tools for complex energy research in Russia. It is proposed to use, as their basis, mathematical models of energy systems and software systems and databases developed at the Energy Systems Institute of SB RAS, for calculations using these models. For each area of research, an ontological model is developed, over which mathematical and information models are built and integrated, as the basis of digital twins and digital shadows of energy objects. In turn, scientific prototypes of digital twins and digital shadows can be used in complex energy studies. To support this research, a modified architecture of the multi-agent intelligent environment is proposed. It is considered as the basis of the future IT infrastructure that integrates modern information and intelligent technologies and implements a new approach to building digital twins and digital shadows using scientific tools.
Key words: Energy systems / mathematical model / ontological model / intelligent technologies / digital twin / digital shadow
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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