In recent years, reducing energy consumption has been relentlessly pursued by researchers
and policy makers with the purpose of achieving a more sustainable future. The demand for data
storage in data centers has been steadily increasing, leading to an increase in size and therefore
to consume more energy. Consequently, the reduction of the energy consumption of data center
rooms is required and it is with this perspective that this paper is proposed. By using Computational
Fluid Dynamics (CFD), it is possible to model a three-dimensional model of the heat transfer and air
flow in data centers, which allows forecasting the air speed and temperature range under diverse
conditions of operation. In this paper, a CFD study of the thermal performance and airflow in a real
data center processing room with 208 racks under di erent thermal loads and airflow velocities is
proposed. The physical-mathematical model relies on the equations of mass, momentum and energy
conservation. The fluid in this study is air and it is modeled as an ideal gas with constant properties.
The model of the e ect of turbulence is made by employing a k–" standard model. The results indicate
that it is possible to reduce the thermal load of the server racks by improving the thermal performance
and airflow of the data center room, without a ecting the correct operation of the server racks located
in the sensible regions of the room.info:eu-repo/semantics/publishedVersio