Server Room Cooling with 6 Cabinet, ANSYS Fluent CFD Simulation Training
$90.00 Student Discount
- The problem numerically simulates Server Room Cooling with 6 Cabinets using ANSYS Fluent software.
- We design the 3-D model by the Design Modeler software.
- We Mesh the model by ANSYS Meshing software, and the element number equals 448000.
- The Energy Equation is activated, and a Heat Source is applied to the room.
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In this project, a server room cooling, including 6 cabinets, is simulated using ANSYS Fluent software. We perform this CFD project and investigate it by CFD analysis.
Essential parameters in a server room design include Precise Environmental Control, Airflow Planning, Fire Suppression systems, Cable Management Solutions, Redundant Power Sources, and Physical Security.
Meanwhile, the cooling of these rooms was considered with the help of computational fluid dynamics. The current model is designed in three dimensions using Design Modeler software. The dimensions of the room and cabinet are 7 * 4 * 2 meters and 1 * 0.6 * 1.8 meters, respectively.
The meshing of this project has been done with ANSYS Meshing software. The mesh type is structured, and the element number is 448000.
Server Room Methodology
To increase efficiency and reduce the risks of temperature rise in server rooms, the safe range offered by manufacturers is in the range of 10 to 32 degrees. Thus, decreasing the temperature below 10 degrees and increasing the temperature above 32 degrees creates unstable conditions in these rooms.
Therefore, the airflow inside the server room was modeled using Ansys Fluent. The air inlet temperature was 15 degrees, and the airspeed was 0.5 and 1 meters per second.
Also, the amount of heat generation in each cabinet rack was assumed to be 400 watts. Also, six cabinets were designed as heat sources inside the server room. In addition, in the figure below, the geometry of the problem was considered along with the boundary conditions.
This study aims to achieve stable thermal composition in the safe range regarding temperature for server rooms.
In this study, air fluid was used as the working fluid, and due to the predominance of forced convection on the natural convection effect, the air density was assumed to be constant. Also, The table below shows the characteristics and values of boundary conditions, along with the models and hypotheses.
Server Room Conclusion
At the end of the solution process, two-dimensional and three-dimensional contours related to temperature and streamlines are obtained.
In this part, by observing the temperature contour in different sections and the diagram of the maximum and average temperature of the fluid, it was shown that the maximum temperature condition of fewer than 32 degrees was not satisfied.
Thus, by increasing the input speed, we eliminate this shortcoming. The graph of the maximum and average temperature of the fluid bulk for the inlet speed of 1 m / s during the solution is shown in the figure below.
As it is clear, the maximum temperature has reached the safe range of the server room as the speed increases. In the diagram below, it was clear that the maximum temperature has reached the range of 30 degrees, and increasing the speed has positively affected better cooling of the racks.
The following counters are the temperature for the two modes with speeds of 0.5 and 1 meter per second, respectively.
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