Heller Indirect Dry Cooling Tower Transient Simulation
$150.00 Student Discount
In this project, the transient simulation of the Heller cooling tower is investigated.
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Description
Heller Indirect Dry Cooling Tower Transient Simulation, ANSYS Fluent Training
In this project, the transient simulation of the Heller cooling tower is investigated by ANSYS Fluent software. Heller cooling tower is an indirect heat exchanging mechanism in which airflow over the water stream and heat exchange process density decreases, and an upward flow is generated. In the present work, an ideal gas model is used for air density modeling. The ideal gas density model is based on the relationship between density and local fluid temperature. Higher the temperature, the lower the density, and the higher the upward force on fluid volume due to buoyancy effects.
Heller Geometry and mesh
The fluid domain’s geometry is designed in Design Modeler, and the computational grid is generated using Ansys Meshing. The mesh type is unstructured, and the element number is 230000.
Heller CFD Simulation
Critical assumptions:
- The solver type is assumed density Based.
- Time formulation is assumed unsteady.
- Gravity effects are considered in the Y direction equal to –9.81 m/s2.
The following table represents a summary of the defining steps of the problem and its solution.
| Models (Heller) | ||
| Viscous | K-epsilon | Standard |
| Near wall treatment | Standard wall treatment | |
| Energy | on | |
| Materials (Heller) | ||
| Fluid | Definition method | FLUENT database |
| Material name | air | |
| Density model | Ideal gas | |
| Boundary conditions | ||
| Inlet | Type | Pressure inlet |
| Gauge pressure | 0 kPa | |
| Thermal | 288.61 K | |
| Radiator | Type | Wall |
| Thermal | 311.2 K | |
| Wall thickness | 1 m | |
| Heat generation rate | 51352 W/m3 | |
| Solver configurations (Heller) | ||
| Formulation | Implicit | |
| Flux type | Roe-FDS | |
| Spatial discretization | Gradient | Least square cell-based |
| Momentum | Second-order Upwind | |
| K | First-order Upwind | |
| Epsilon | First-order Upwind | |
| Run calculation | Time step size | Adaptive |
| Total time | 1000 s | |
| No. of fixed time steps | 2 | |
| Initial time step size | 10e-5 | |
| Max items per time step | 20 | |
Results and discussion
The pressure difference in orders of 10kPa is generated inside the cooling tower. The velocity of air, only under the influence of buoyancy force, reaches 90 m/s inside the cooling tower and reaches a maximum of 170 m/s on the edge of the cooling tower exit.
Call On WhatsApp
Mona Denesik –
Can the simulation provide insights into the cooling tower’s performance under peak load conditions?
MR CFD Support –
Yes, the transient simulation can provide insights into the cooling tower’s performance under peak load conditions. This can help you ensure that the cooling tower can handle peak loads effectively.
Mr. Ewell Huels IV –
Can the simulation provide insights into the cooling tower’s performance during startup and shutdown?
MR CFD Support –
Yes, the transient simulation can provide insights into the cooling tower’s performance during startup and shutdown. This can help you optimize these processes to minimize energy consumption and wear and tear.
Thora West –
Can the simulation model the effect of different operating conditions on the cooling tower performance?
MR CFD Support –
Yes, the simulation can model the effect of different operating conditions on the cooling tower performance. We can adjust the simulation parameters based on your specific operating conditions.