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

Author

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  • Kirill Varnavskiy

    (Mining Industry Digital Transformation Lab, Mining Institute, T.F. Gorbachev Kuzbass State Technical University, 28 Vesennya St., 650000 Kemerovo, Russia)

  • Fedor Nepsha

    (Mining Industry Digital Transformation Lab, Mining Institute, T.F. Gorbachev Kuzbass State Technical University, 28 Vesennya St., 650000 Kemerovo, Russia
    Department of Theoretical Electrical Engineering and Electrification of Oil and Gas Industry, Gubkin University, 119991 Moscow, Russia)

  • Qingguang Chen

    (Department of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China)

  • Alexander Ermakov

    (Mining Industry Digital Transformation Lab, Mining Institute, T.F. Gorbachev Kuzbass State Technical University, 28 Vesennya St., 650000 Kemerovo, Russia)

  • Sergey Zhironkin

    (Institute of Trade and Economy, Siberian Federal University, 79 Svobodny Av., 660041 Krasnoyarsk, Russia
    Department of Open Pit Mining, T.F. Gorbachev Kuzbass State Technical University, 28 Vesennya St., 650000 Kemerovo, Russia)

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.

Suggested Citation

  • Kirill Varnavskiy & Fedor Nepsha & Qingguang Chen & Alexander Ermakov & Sergey Zhironkin, 2023. "Reliability Assessment of the Configuration of Dynamic Uninterruptible Power Sources: A Case of Data Centers," Energies, MDPI, vol. 16(3), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1419-:d:1053497
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    References listed on IDEAS

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    1. Zio, E., 2009. "Reliability engineering: Old problems and new challenges," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 125-141.
    2. Constâncio António Pinto & José Torres Farinha & Hugo Raposo & Diego Galar, 2022. "Stochastic versus Fuzzy Models—A Discussion Centered on the Reliability of an Electrical Power Supply System in a Large European Hospital," Energies, MDPI, vol. 15(3), pages 1-21, January.
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    1. Aleksandra V. Varganova & Aleksandr S. Irikhov & Anastasia A. Utesheva & Vadim R. Khramshin & Aleksandr S. Maklakov & Andrey A. Radionov, 2024. "Comprehensive Structural Reliability Assessment When Choosing Switchgear Circuits for 35–220 kV Step-Up Substations," Energies, MDPI, vol. 17(7), pages 1-15, March.

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