Design Improvement of Water-Cooled Data Centres using Computational Fluid Dynamics

SETHURAMALINGAM, Ramamoorthy and ASTHANA, Abhishek (2021). Design Improvement of Water-Cooled Data Centres using Computational Fluid Dynamics. In: MPORAS, Iosif, KOURTESSIS, Pandelis, AL-HABAIBEH, Amin, ASTHANA, Abhishek, VUKOVIC, Vladimir and SENIOR, John, (eds.) Energy and Sustainable Futures Proceedings of 2nd ICESF 2020. Springer Proceedings in Energy . Cham, Springer, 105-113.

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Data centres are complex energy demanding environments. The number of data centres and thereby their energy consumption around the world is growing at a rapid rate. Cooling the servers in the form of air conditioning forms a major part of the total energy consumption in data centres and thus there is an urgent need to develop alternative energy efficient cooling technologies. Liquid cooling systems are one such solution which are in their early developmental stage. In this article, the use of Computational Fluid Dynamics (CFD) to further improve the design of liquid-cooled systems is discussed by predicting temperature distribution and heat exchanger performance. A typical 40 kW rack cabinet with rear door fans and an intermediate air–liquid heat exchanger is used in the CFD simulations. Steady state Reynolds-Averaged Navier–Stokes modelling approach with the RNG K-epsilon turbulence model and the Radiator boundary conditions were used in the simulations. Results predict that heat exchanger effectiveness and uniform airflow across the cabinet are key factors to achieve efficient cooling and to avoid hot spots. The fundamental advantages and limitations of CFD modelling in liquid-cooled data centre racks were also discussed. In additional, emerging technologies for data centre cooling have also been discussed.

Item Type: Book Section
Additional Information: Series ISSN: 2352-2542
Identification Number:
Page Range: 105-113
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 06 Nov 2020 10:11
Last Modified: 12 Oct 2023 11:16

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