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Three computational methods for analysing thermal airflow distributions in the cooling of data centres

Gregory Nicholas de Boer (School of Mechanical Engineering, University of Leeds, Leeds, UK)
Adam Johns (School of Mechanical Engineering, University of Leeds, Leeds, UK)
Nicolas Delbosc (School of Mechanical Engineering, University of Leeds, Leeds, UK and DS SIMULIA, Madrid, Spain)
Daniel Burdett (School of Mechanical Engineering, University of Leeds, Leeds, UK)
Morgan Tatchell-Evans (School of Chemical and Process Engineering, University of Leeds, Leeds, UK)
Jonathan Summers (School of Mechanical Engineering, University of Leeds, Leeds, UK and RISE SICS North, Luleå, Sweden)
Remi Baudot (4Energy, Nottingham, UK, and RBCD Solutions, Nottingham, UK)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 5 February 2018

252

Abstract

Purpose

This aim of this work is to investigate different modelling approaches for air-cooled data centres. The study employs three computational methods, which are based on finite element, finite volume and lattice Boltzmann methods and which are respectively implemented via commercial Multiphysics software, open-source computational fluid dynamics code and graphical processing unit-based code developed by the authors. The results focus on comparison of the three methods, all of which include models for turbulence, when applied to two rows of datacom racks with cool air supplied via an underfloor plenum.

Design/methodology/approach

This paper studies thermal airflows in a data centre by applying different numerical simulation techniques that are able to analyse the thermal airflow distribution for a simplified layout of datacom racks in the presence of a computer room air conditioner.

Findings

Good quantitative agreement between the three methods is seen in terms of the inlet temperatures to the datacom equipment. The computational methods are contrasted in terms of application to thermal management of data centres.

Originality/value

The work demonstrates how the different simulation techniques applied to thermal management of airflow in a data centre can provide valuable design and operational understanding. Basing the analysis on three very different computational approaches is new and would offer an informed understanding of their potential for a class of problems.

Keywords

Acknowledgements

The authors would like to thank 4Energy for both inspiration and part funding of this research and Bios IT for the loan of the direct liquid cooled K40 GPUs. They thank the European Union FP7 Regions of Knowledge (Grant 320013) for funding Greg de Boer. Morgan Tatchell-Evans would like to thank the Engineering and Physical Sciences Research Council for funding (Grant EP/G036608) and Dan Burdett acknowledges the funding from aql.

Citation

de Boer, G.N., Johns, A., Delbosc, N., Burdett, D., Tatchell-Evans, M., Summers, J. and Baudot, R. (2018), "Three computational methods for analysing thermal airflow distributions in the cooling of data centres", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 28 No. 2, pp. 271-288. https://doi.org/10.1108/HFF-10-2016-0431

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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