Skip to main content

CFD Analysis of Data Center Using Open-Source Software: OpenFOAM

  • Conference paper
  • First Online:
Fluid Mechanics and Fluid Power, Volume 3 (FMFP 2022)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

  • 229 Accesses

Abstract

The detailed understanding of thermo-fluid flow is necessary for efficient cooling and operation of data center. This understanding can be obtained by performing a CFD analysis of the data center. Data centers are huge in size, and a detailed CFD analysis requires compute resource, time, and expertise in CFD analysis. In this work, we demonstrate use of OpenFOAM for CFD simulation of an industrial-scale data center. We also discuss about an algorithm and a tool that can create geometry from a 2D layout of an industrial data center. The tool creates mesh and carries out simulation without requiring CFD expertise. Thus, eliminating need of a CFD expert for carrying out CFD analysis on a regular basis ensures optimum operation of a data center. We found that CFD simulation of an industrial-scale data center with our algorithm takes about 2 h of time as compared to the manual simulation which takes about a month of man hour. We have also demonstrated that an OpenFOAM results are as good as Ansys Fluent results on a test data center. The CFD analysis of an industrial-scale data center is fast, accurate, cost-effective, and does not require a CFD expertise.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

ρ:

Density of air (kg/m3)

g:

Gravitational constant 0f 9.81 (m/s2)

u:

Velocity (m/s)

T:

Temperature (K)

\(\mu\):

Dynamic viscosity (kg/ms)

\(\mu_{t}\):

Turbulent viscosity (kg/m.s)

α:

Coefficient of thermal expansion (/K)

\(C_{p}\):

Specific heat (J/kg K)

\(\kappa\):

Thermal conductivity (W/m K)

k:

Turbulent kinetic energy (TKE) (m2/s2)

\(P_{k}\):

TKE production rate (m2/s3)

\(\epsilon\):

TKE dissipation rate (m2/s3)

References

  1. Ashrae TC (2011) Thermal guidelines for data processing environments—expanded data center classes and usage guidance. American Society of Heating, Refrigeration and Air-Conditioning Engineers, Inc.

    Google Scholar 

  2. Anandan SS, Ramalingam V (2008) Thermal management of electronics: a review of literature. Therm Sci 12(2):5–26

    Article  Google Scholar 

  3. Sullivan RF. Alternating cold and hot aisles provides more reliable cooling for server farms. White paper, The Uptime Institute, Inc., Santa Fe, NM, USA

    Google Scholar 

  4. Song Z, Zhang X, Eriksson C (2015) Data center energy and cost saving evaluation. In: The 7th international conference on applied energy—ICAE2015. Energy Procedia 75:1255–1260

    Google Scholar 

  5. Patel CD, Bash CE, Belady C, Stahl L, Sullivan D (2001) Computational fluid dynamics modelling of high compute density data centers to assure system inlet air specifications. Proc IPACK 1:8–13

    Google Scholar 

  6. Gao C, Yu Z, Wu J (2015) Investigation of airflow pattern of a typical data center by CFD simulation. Energy Procedia 78:2687–2693

    Article  Google Scholar 

  7. Mukaffi AR, Arief RS, Hendradjit W, Romadhon R (2017) Optimization of cooling system for data center case study: PAU ITB data center. Procedia Eng 170:552–557

    Google Scholar 

  8. Ahmadi V, Erden H (2020) A parametric CFD study of computer room air handling bypass in air-cooled data centers. Appl Therm Eng 166:114685. ISSN 1359–4311

    Google Scholar 

  9. Summers J, Kapur N, Thompson H (2013) Design of data centre rack arrangements using open-source software. In: 29th IEEE semiconductor thermal measurement and management symposium, pp 45–51

    Google Scholar 

  10. Gschaider BF (2013) The incomplete swak4foam reference. Tech Rep 131:202

    Google Scholar 

  11. Karki KC, Radmehr A, Patankar SV (2003) Use of computational fluid dynamics for calculating flow rates through perforated tiles in raised-floor data centers. HVAC&R Res 9(2):153–166

    Article  Google Scholar 

Download references

Acknowledgements

Authors like to thank Dr. B. P. Gautham, Chief Scientist, TCS Research, for his continuous support in this work and Tata Consultancy Services (TCS) Research for funding this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dilshad Ahmad .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kulkarni, H., Ahmad, D. (2024). CFD Analysis of Data Center Using Open-Source Software: OpenFOAM. In: Singh, K.M., Dutta, S., Subudhi, S., Singh, N.K. (eds) Fluid Mechanics and Fluid Power, Volume 3. FMFP 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-6343-0_29

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-6343-0_29

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6342-3

  • Online ISBN: 978-981-99-6343-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics