Evgeny Alekseevich Barakhtenko

Dr. Evgeny Alekseevich Barakhtenko

Melentiev Energy Systems Institute, Irkutsk, Irkutskaya Oblast’, Russia
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2020 in Energy Conversion and Management
Verified
Journal Article
Closed access
HWHuaizhi Wang
Huaizhi Wang
YLYangyang Liu
Yangyang Liu
Bin ZhouBin Zhou
Bin Zhou
CLCanbing Li
Canbing Li
GCGuangzhong Cao
Guangzhong Cao
EBEvgeny Alekseevich Barakhtenko
Evgeny Alekseevich Barakhtenko

1 December 2020 in Energy Conversion and Management
Verified
Journal Article
Closed access
HWHuaizhi Wang
Huaizhi Wang
RCRen Cai
Ren Cai
BZBin Zhou
Bin Zhou
SASaddam Aziz
Saddam Aziz
BQBin Qin
Bin Qin
EBEvgeny Alekseevich Barakhtenko
Evgeny Alekseevich Barakhtenko

12 August 2022 in Energy Reports
Verified
Journal Article
Open access
VSValery Stennikov
Valery Stennikov
EBEvgeny Alekseevich Barakhtenko
Evgeny Alekseevich Barakhtenko
DSDmitry Sokolov
Dmitry Sokolov
BZBin Zhou
Bin Zhou

7 September 2017 in Studies on Russian Economic Development
Verified
Journal Article
Closed access
PDF file
NVN. I. Voropai
N. I. Voropai
VSV. A. Stennikov
V. A. Stennikov
EBEvgeny Alekseevich Barakhtenko
Evgeny Alekseevich Barakhtenko
The creation of an energy metasystem that combines electrical, heat, cooling, and gas supply systems on an intellectual framework is a manifestation of a new energy paradigm. Integrated intelligent power supply systems combine complexity, intelligence, efficiency, reliability, controllability, flexibility of energy conversion, transmission, storage technologies and assume an active consumer.

1 October 2017 in Journal of Energy Engineering
Verified
Journal Article
Closed access
Nikolai VoropaiNikolai Voropai
Nikolai Voropai
VSValery Stennikov
Valery Stennikov
SSSergei Senderov
Sergei Senderov
EBEvgeny Alekseevich Barakhtenko
Evgeny Alekseevich Barakhtenko
OVOleg Voitov
Oleg Voitov
AUAlexander Ustinov
Alexander Ustinov
Energy systems including electricity, heat/cooling, and gas supply systems represent a very important part of the infrastructure in Russia. This paper presents a general framework of integrated energy systems. Elements of the concept of integrated energy systems are suggested. The explanation of the concept elements is given as a three-layer structure of integrated energy systems in three dimensions. The problems of integrated control of electric and heat networks deal with issues of combined calculation of operating conditions of the electric and heat networks integrated in the intelligent energy supply system. A mathematical description of the problems is presented. The results of two illustrative case studies are shown and explained. The first case study represents research on an emergency situation at the supergrid level of the energy system layers after an accident on a pipeline of the gas transportation network. The second case study represents research of interdependency of power and heat supply minigrids in emergency conditions on the example of a city district. Preferable future work is discussed.

16 December 2022 in Computation
Verified
Journal Article
Open access
PDF file
VSValery Stennikov
Valery Stennikov
EBEvgeny Alekseevich Barakhtenko
Evgeny Alekseevich Barakhtenko
DSDmitry Sokolov
Dmitry Sokolov
GMGleb Mayorov
Gleb Mayorov
The design of integrated energy systems (IESs) is a challenging task by reason of the highly complex configurations of these systems, the wide range of equipment used, and a diverse set of mathematical models and dedicated software employed to model it. The use of digital twins allows modeling in virtual space for various IES configurations. As a result, an optimal option of IES is obtained, which is implemented in the construction or expansion of a real-world IES. The paper proposes the principles of building digital twins for solving the IES design problems. The paper presents a new methodological approach developed by the authors to design an IES with the help of its digital twin. This approach includes the following components: the architecture of the software platform to create digital twins, a set of technologies and tools to implement the platform, methods to automatically construct a digital twin based on the Model-Driven Engineering concept, an algorithm to design an IES based on its digital twin, and principles to organize a computational process using a multi-agent approach. The results of the computational experiment using the software implementation of the IES digital twin components are presented for a test energy supply scheme.