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Numerical and experimental dataset for a retrofitted data center.

Mustafa Kuzay1,2, Aras Dogan1,2, Sibel Yilmaz1

  • 1Design and Simulation Technologies Inc., Eskisehir 26480, Turkey.

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This study presents experimental and numerical data for air-cooled data center thermal management. Findings aid in validating computational fluid dynamics models for optimizing data center cooling efficiency.

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Area of Science:

  • Mechanical Engineering
  • Thermal Sciences
  • Computational Fluid Dynamics

Background:

  • Data centers generate significant heat, requiring efficient cooling solutions.
  • Accurate thermal management is crucial for data center reliability and performance.
  • Air-cooling is a common method, but its effectiveness depends on precise flow and temperature distribution understanding.

Purpose of the Study:

  • To provide experimental and numerical data for flow and thermal distributions in an air-cooled data center.
  • To offer validated OpenFOAM simulation files for thermal structure analysis.
  • To facilitate the validation of numerical models for data center thermal management.

Main Methods:

  • Experimental measurements using temperature sensors at the rear of server racks (2 kW load).
  • Numerical simulations using OpenFOAM based on experimental data.
  • Development of script files for data processing and simulation.

Main Results:

  • Detailed exhaust temperature profiles from experimental campaigns.
  • Validated numerical model showcasing flow and thermal structures within the data center.
  • Provision of publically available experimental data and numerical models for research.

Conclusions:

  • The provided data and models enable validation of numerical simulations for specific thermal scenarios.
  • The validated model accurately represents flow and thermal distributions in an air-cooled data center.
  • This work supports the development of more efficient data center cooling strategies.