Radiation Heat Transfer in a Computer Room
Price: $24
- The problem numerically simulates the air conditioning of a computer room containing four computers using ANSYS Fluent software.
- We design the 3-D model with the Design Modeler software.
- We mesh the model with ANSYS Meshing software, and the element number equals 809037.
- We use the Surface to Surface (S2S) model to define the Radiation model.
- We use the ideal gas model to consider buoyancy force.
Radiation Heat Transfer in a Computer Room
Price: $24
- The problem numerically simulates the air conditioning of a computer room containing four computers using ANSYS Fluent software.
- We design the 3-D model with the Design Modeler software.
- We mesh the model with ANSYS Meshing software, and the element number equals 809037.
- We use the Surface to Surface (S2S) model to define the Radiation model.
- We use the ideal gas model to consider buoyancy force.
Radiation Heat Transfer in a Computer Room CFD Simulation, ANSYS Fluent Training
In this project, the air conditioning of a computer room containing four computers is simulated by ANSYS Fluent software.
The present model consists of a computer room with different heat sources. The present model is designed in three dimensions using spaceclaim software.
Since the geometry is symmetric, only one-quarter of the geometry is modeled. This quadrilateral geometry consists of two sloping glass and steps carrying water flow.
The meshing of the model has been done using ANSYS Meshing software. The element number is 809037.
CFD Methodology
In this project, steady airflow enters the domain from the bottom of the room by several inlets and leaves the domain from several outlets on the ceiling, considering Radiation heat transfer.
This new air conditioning method is commonly used in office environments. This method provides more energy efficiency since the flow naturally goes upwards due to density difference and buoyancy body force.
Fresh air enters the computational domain with a velocity of 0.61254m/s and a temperature of 291.8K. One of the room’s four main walls is exposed to a constant heat flux equal to 194 W/m2. The other heat sources include a laptop and a simulator with heat fluxes equal to 153.25 and 90.56W/m2, respectively.
A realizable k-epsilon model is used for solving turbulent fluid equations. The energy equation is enabled to calculate temperature change within the domain, and the ideal gas model is used to account for air density change due to temperature change.
Most importantly, the Surface to Surface (S2S) model is exploited to simulate the radiative heat transfer inside the computational domain.
Radiation Heat Transfer Conclusion
The mixture mass flow rate at the Computer room outlet is 0.568 kg/s. The air density has the minimum value on surfaces that heat flux is applied to due to increased fluid temperature, density decreases, and upward buoyant force affects the fluid volume.
It can be seen that the higher we go along room height, the less air density is observed. High temperatures equal to 327 k are observed on laptop surfaces and hot walls.
Extreme turbulence can be seen on the hot wall and the top of the simulator’s head. The reason is the consideration of high heat fluxes for laptops, simulators, and hot walls.