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Energies, volume 16, issue 3, pages 1419

Reliability Assessment of the Configuration of Dynamic Uninterruptible Power Sources: A Case of Data Centers

Nepsha Fedor 1, 2
Chen Qingguang 3
Publication typeJournal Article
Publication date2023-02-01
Journal: Energies
Quartile SCImago
Q1
Quartile WOS
Q3
Impact factor3.2
ISSN19961073
Electrical and Electronic Engineering
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Building and Construction
Control and Optimization
Engineering (miscellaneous)
Energy (miscellaneous)
Abstract

The number of data centers worldwide is increasing year by year, mostly because of the development of cloud services and applications. In the near future, the rate of construction of data centers will grow, with a corresponding increase in their electrical energy consumption. The requirements of the reliability of the electrical power supply of data centers are one of the highest among industrial power consumers, since uninterrupted power supply is critically important for the continuous functioning of server hardware. The assessment of electrical power supply reliability is one of the most important parts of the design process of data centers. However, the speed of the development of new power equipment does not always make it possible to use classical probabilistic and statistical methods for reliability assessment. Therefore, the development of new methods for reliability assessment based on alternative approaches, which can eliminate the disadvantages of probabilistic and statistical methods, are of great interest. This paper discusses the alternative method for analyzing the reliability of electrical power supply for the case of data centers. The method defines the reliability through the internal information of the system that characterizes the system’s topology, flows of information, energy, and matter in the system.

Citations by journals

1
Energies
Energies, 1, 33.33%
Energies
1 publication, 33.33%
Lecture Notes in Computer Science
Lecture Notes in Computer Science, 1, 33.33%
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Citations by publishers

1
Multidisciplinary Digital Publishing Institute (MDPI)
Multidisciplinary Digital Publishing Institute (MDPI), 1, 33.33%
Multidisciplinary Digital Publishing Institute (MDPI)
1 publication, 33.33%
Springer Nature
Springer Nature, 1, 33.33%
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1 publication, 33.33%
IEEE
IEEE, 1, 33.33%
IEEE
1 publication, 33.33%
1
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GOST Copy
Varnavskiy K. et al. Reliability Assessment of the Configuration of Dynamic Uninterruptible Power Sources: A Case of Data Centers // Energies. 2023. Vol. 16. No. 3. p. 1419.
GOST all authors (up to 50) Copy
Varnavskiy K., Nepsha F., Chen Q., Ermakov A., Zhironkin S. Reliability Assessment of the Configuration of Dynamic Uninterruptible Power Sources: A Case of Data Centers // Energies. 2023. Vol. 16. No. 3. p. 1419.
RIS |
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RIS Copy
TY - JOUR
DO - 10.3390/en16031419
UR - https://doi.org/10.3390%2Fen16031419
TI - Reliability Assessment of the Configuration of Dynamic Uninterruptible Power Sources: A Case of Data Centers
T2 - Energies
AU - Varnavskiy, Kirill
AU - Nepsha, Fedor
AU - Chen, Qingguang
AU - Ermakov, Alexander
AU - Zhironkin, Sergey
PY - 2023
DA - 2023/02/01 00:00:00
PB - Multidisciplinary Digital Publishing Institute (MDPI)
SP - 1419
IS - 3
VL - 16
SN - 1996-1073
ER -
BibTex |
Cite this
BibTex Copy
@article{2023_Varnavskiy,
author = {Kirill Varnavskiy and Fedor Nepsha and Qingguang Chen and Alexander Ermakov and Sergey Zhironkin},
title = {Reliability Assessment of the Configuration of Dynamic Uninterruptible Power Sources: A Case of Data Centers},
journal = {Energies},
year = {2023},
volume = {16},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
month = {feb},
url = {https://doi.org/10.3390%2Fen16031419},
number = {3},
pages = {1419},
doi = {10.3390/en16031419}
}
MLA
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MLA Copy
Varnavskiy, Kirill, et al. “Reliability Assessment of the Configuration of Dynamic Uninterruptible Power Sources: A Case of Data Centers.” Energies, vol. 16, no. 3, Feb. 2023, p. 1419. https://doi.org/10.3390%2Fen16031419.
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