Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2022, Cilt: 7 Sayı: 1, 1 - 30, 30.04.2022
https://doi.org/10.30931/jetas.950046

Öz

Kaynakça

  • [1] Kant, K., "Data Centre Evolution: A tutorial on the state of the art, issues and challenges", Computer Networks 53 (2009) : 2939-2965.
  • [2] Dumsky, D., Isaev, E., "Data centres for physical research", Physics Procedia 71 (2015) : 298-302.
  • [3] Daim, T., Bhatla, A., Mansour, M., "Site selection for a data centre – a multi-criteria decision-making model", International Journal of Sustainable Engineering 6 (1) (2012) : 10-12.
  • [4] Kamiya, G., "Data centres and data transmission networks", https://www.iea.org/tcep/ buildings/datacentres/ (2019).
  • [5] Oro, E., Depoorter, V., Garcia, A., Salom, J., "Energy efficiency and renewable energy integration in data centres. strategies and modelling review", Renewable and Sustainable Energy Reviews 42 (C) (2015) : 429-445.
  • [6] Rasmussen, N., "The different types of air distribution for IT environments", Schneider Electric (2017).
  • [7] Chi, YQ., Summer, J., Hopton, P., "Case study of a data centre using enclosed, immersed, direct liquid-cooled servers", Annual IEEE Semiconductor Thermal Measurement and Management (2014) : 164-173.
  • [8] Jinkyun, C., Byungseon, S., "Evaluation of air management system’s thermal performance for superior cooling efficiency in high-density data centres", Energy and Buildings 43 (9) (2011) : 2145-2155.
  • [9] Almoli, A., Thompson, A., Kapur, N., Summers, J., Thompson, H., Hannah, G., "Computational fluid dynamic investigation of liquid rack cooling in data centres", Applied Energy 89 (1) (2012) : 150-155.
  • [10] Choi, J., Youngjae, K., Sivasubramaniam, A., Srebric, J., "A CFD-Based tool for studying temperature in Rack-Mounted servers", IEEE Transactions on Computers 57 (8) (2008) : 1129-1142.
  • [11] Fakhim, B., Behnia, M., Armfield, S.W., Srinarayana, N., Fakhim, B et al., "Cooling solutions in an operational data centre: a case study", Applied Thermal Energy 31 (14-15) (2011) : 2279-2291.
  • [12] Wibron, E., "A numerical and experimental study of airflow in data centres", Lulea University of Technology (2018).
  • [13] Leschziner, M. "Statistical turbulence modelling for fluid dynamics”, Imperial College Press (2015).
  • [14] Milnes, J., Drikakis, D., "Qualitive assessment of RANS models for hypervapotron flow and heat transfer", Fusion Engineering and Design 84 (7-11) (2009) : 1305-1312.
  • [15] Smirnov, P., Menter, F., "Sensitization of the SST turbulence model to rotation and curvature by applying the Spalart-Shur correction term", Journal of Turbomachinery 131 (4) (2009) : 297-302.

A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers

Yıl 2022, Cilt: 7 Sayı: 1, 1 - 30, 30.04.2022
https://doi.org/10.30931/jetas.950046

Öz

As the global demand for data services expands, cooling in data centres continues to evolve towards more efficient and cost-effective systems. Incorporating active rear door heat exchangers has become a popular and reliable method that increases the capability of data centres to operate at higher power densities. This study conducts a thermal analysis of a data centre employing active rear door heat exchangers with the use of computational fluid dynamic (CFD) techniques. The data centre under investigation contains seventy-seven cooled racks with three additional uncooled racks operating in the centre of the hall. The main purpose of this study is to understand how the uncooled racks affect the temperature distribution in the data centre. This study presents a modelling technique which uses temperature and velocity field measurements to facilitate the modelling of rear door heat exchangers. Computer server modelling server was carried out at varying inlet temperature and load. Server simulation results have been utilized with field measurements to create four data centre scenarios. Scenarios were created to show how inlet temperature and load affect the temperature distribution in the data centre. Data centre scenarios have been used to validate and compare with field measurements performed. It was found that heat dissipation in the server was directly related to the server’s velocity profile. From the data centre scenarios created it was found that when higher loaded racks are isolated amongst lower loaded racks the distribution of heat is less significant than if the higher loaded racks were situated in clusters of three or more. It was also found that higher loaded racks could be positioned strategically to diminish the effect of the untreated air produced by the uncooled racks in the data centre. The findings from this paper help to understand the thermal behaviour in data centres and suggests areas to consider when reviewing pre-existing data centre designs.

Kaynakça

  • [1] Kant, K., "Data Centre Evolution: A tutorial on the state of the art, issues and challenges", Computer Networks 53 (2009) : 2939-2965.
  • [2] Dumsky, D., Isaev, E., "Data centres for physical research", Physics Procedia 71 (2015) : 298-302.
  • [3] Daim, T., Bhatla, A., Mansour, M., "Site selection for a data centre – a multi-criteria decision-making model", International Journal of Sustainable Engineering 6 (1) (2012) : 10-12.
  • [4] Kamiya, G., "Data centres and data transmission networks", https://www.iea.org/tcep/ buildings/datacentres/ (2019).
  • [5] Oro, E., Depoorter, V., Garcia, A., Salom, J., "Energy efficiency and renewable energy integration in data centres. strategies and modelling review", Renewable and Sustainable Energy Reviews 42 (C) (2015) : 429-445.
  • [6] Rasmussen, N., "The different types of air distribution for IT environments", Schneider Electric (2017).
  • [7] Chi, YQ., Summer, J., Hopton, P., "Case study of a data centre using enclosed, immersed, direct liquid-cooled servers", Annual IEEE Semiconductor Thermal Measurement and Management (2014) : 164-173.
  • [8] Jinkyun, C., Byungseon, S., "Evaluation of air management system’s thermal performance for superior cooling efficiency in high-density data centres", Energy and Buildings 43 (9) (2011) : 2145-2155.
  • [9] Almoli, A., Thompson, A., Kapur, N., Summers, J., Thompson, H., Hannah, G., "Computational fluid dynamic investigation of liquid rack cooling in data centres", Applied Energy 89 (1) (2012) : 150-155.
  • [10] Choi, J., Youngjae, K., Sivasubramaniam, A., Srebric, J., "A CFD-Based tool for studying temperature in Rack-Mounted servers", IEEE Transactions on Computers 57 (8) (2008) : 1129-1142.
  • [11] Fakhim, B., Behnia, M., Armfield, S.W., Srinarayana, N., Fakhim, B et al., "Cooling solutions in an operational data centre: a case study", Applied Thermal Energy 31 (14-15) (2011) : 2279-2291.
  • [12] Wibron, E., "A numerical and experimental study of airflow in data centres", Lulea University of Technology (2018).
  • [13] Leschziner, M. "Statistical turbulence modelling for fluid dynamics”, Imperial College Press (2015).
  • [14] Milnes, J., Drikakis, D., "Qualitive assessment of RANS models for hypervapotron flow and heat transfer", Fusion Engineering and Design 84 (7-11) (2009) : 1305-1312.
  • [15] Smirnov, P., Menter, F., "Sensitization of the SST turbulence model to rotation and curvature by applying the Spalart-Shur correction term", Journal of Turbomachinery 131 (4) (2009) : 297-302.
Toplam 15 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Article
Yazarlar

Michael Busby 0000-0002-9474-1031

David Green Bu kişi benim

Madeleine Combrinck Bu kişi benim 0000-0003-0729-581X

Erken Görünüm Tarihi 21 Mart 2022
Yayımlanma Tarihi 30 Nisan 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 7 Sayı: 1

Kaynak Göster

APA Busby, M., Green, D., & Combrinck, M. (2022). A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers. Journal of Engineering Technology and Applied Sciences, 7(1), 1-30. https://doi.org/10.30931/jetas.950046
AMA Busby M, Green D, Combrinck M. A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers. JETAS. Nisan 2022;7(1):1-30. doi:10.30931/jetas.950046
Chicago Busby, Michael, David Green, ve Madeleine Combrinck. “A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers”. Journal of Engineering Technology and Applied Sciences 7, sy. 1 (Nisan 2022): 1-30. https://doi.org/10.30931/jetas.950046.
EndNote Busby M, Green D, Combrinck M (01 Nisan 2022) A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers. Journal of Engineering Technology and Applied Sciences 7 1 1–30.
IEEE M. Busby, D. Green, ve M. Combrinck, “A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers”, JETAS, c. 7, sy. 1, ss. 1–30, 2022, doi: 10.30931/jetas.950046.
ISNAD Busby, Michael vd. “A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers”. Journal of Engineering Technology and Applied Sciences 7/1 (Nisan 2022), 1-30. https://doi.org/10.30931/jetas.950046.
JAMA Busby M, Green D, Combrinck M. A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers. JETAS. 2022;7:1–30.
MLA Busby, Michael vd. “A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers”. Journal of Engineering Technology and Applied Sciences, c. 7, sy. 1, 2022, ss. 1-30, doi:10.30931/jetas.950046.
Vancouver Busby M, Green D, Combrinck M. A Computational Fluid Dynamic Investigation of a Data Centre Employing Rear Door Heat Exchangers. JETAS. 2022;7(1):1-30.