Optimization of Cooling Airflow in Data Center by CFD Analysis in a New Energy Efficient Cooling System Using CO2 as Cooling Medium

  • Weirong ZhangEmail author
  • Hongye Li
  • Yifei Bai
  • Zhaofeng Wang
Conference paper
Part of the Environmental Science and Engineering book series (ESE)


In data center, using outdoor low-temperature air as free cooling is one of the most effective ways to increase the energy efficiency of the heat source system. At the same time, optimizing the indoor air organization to reduce the energy consumption of fans is considered as another effective way of saving energy. In this study, a new cooling system for data center by using evaporation and condensation of CO2 as free cooling is proposed. Also, the system is optimized by organizing the cooling airflow with natural convection and small distributed fans on the indoor side. This paper mainly focuses on optimization of cooling airflow, especially that around racks. CFD is used to analyze the temperature distributions and flow distributions by adjusting power of small distributed fans and shape of the cooling unit. The results show that small distributed fans and natural convection can generate the desired distribution of cooling airflow.


Data center Free cooling CFD analysis Airflow distribution 



This research was supported by Ministry of Education, Culture, Sports, Science, and Technology-JAPAN, Joint Usage/Research Center (16163004).


  1. 1.
    ASHRAE: Thermal Guidelines for Data Processing Environments, 1st edn. ASHRAE, Atlanta (2004)Google Scholar
  2. 2.
    Akhmad, R.I., et al.: Optimization of cooling system for data center case study: PAU ITB data center. Procedia Eng. 170, 552–557 (2017). (Engineering Physics International Conference)CrossRefGoogle Scholar
  3. 3.
    Aya, T., et al.: Energy conservation effect in data centers with hybrid ventilation system: (part 3) optimization of air-conditioning system by CFD analysis, pp. 773–774. Architectural Institute of Japan (2012)Google Scholar
  4. 4.
    Caifeng, G., et al.: Investigation of airflow pattern of a typical data center by CFD Simulation. In: International Building Physics Conference, pp. 2687–2693 (2015)Google Scholar
  5. 5.
    Cisco: Cisco Global Cloud Index: Forecast and Methodology, 2016–2021. White Paper prepared by Cisco (2018)Google Scholar
  6. 6.
    Eduard, O., et al.: Overview of direct air free cooling and thermal energy storage potential energy savings in data centres. Appl. Therm. Eng. 85, 100–110 (2015)CrossRefGoogle Scholar
  7. 7.
    Herrlin, M.: Rack cooling effectiveness in data centers and telecom central offices: the Rack cooling index (RCI). ASHRAE Transactions, vol. 111, Part 2 (2005)Google Scholar
  8. 8.
    Herrlin, M.: Airflow and cooling performance of data centers: two performance metrics. ASHRAE Transactions, vol. 114, Part 2 (2008)Google Scholar
  9. 9.
    Masatoshi, O., et al.: Cooling control of modular data center utilizing fresh air in consideration of ICT equipment temperature management and energy saving based on model predictive control. Trans. Soc. Instrum. Control Eng. 51(8), 561–569 (2015)CrossRefGoogle Scholar
  10. 10.
    Noriyuku, T., et al.: A study on operation performance of a data center with air-side economizer. Architectural Institute of Japan, pp. 1297–1298 (2013)Google Scholar
  11. 11.
    Taku, S., et al.: Evaluation of the regional effects of refrigerate natural circulation free cooling coil in server rooms. Architectural Institute of Japan, pp. 1113–1114 (2015)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Weirong Zhang
    • 1
    Email author
  • Hongye Li
    • 2
  • Yifei Bai
    • 1
  • Zhaofeng Wang
    • 1
  1. 1.Beijing University of TechnologyBeijingPeople’s Republic of China
  2. 2.Tokyo Polytechnic UniversityTokyoJapan

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