Heller Dry Cooling Tower CFD Simulation
$150.00 Student Discount
In this project, the airflow inside a dry cooling tower (HELLER) is simulated and analyzed by ANSYS Fluent.
Click on Add To Cart and obtain the Geometry file, Mesh file, and a Comprehensive ANSYS Fluent Training Video. By the way, You can pay in installments through Klarna, Afterpay (Clearpay), and Affirm.To Order Your Project or benefit from a CFD consultation, contact our experts via email ([email protected]), online support tab, or WhatsApp at +44 7443 197273.
There are some Free Products to check our service quality.
If you want the training video in another language instead of English, ask it via [email protected] after you buy the product.
Description
Heller Dry Cooling Tower CFD Simulation, ANSYS Fluent Training
A dry cooling tower is used as a means of indirect heat transfer between the working fluid (water) and the coolant(air). In a thermal plant, the working fluid (water) exits the condensers and then is pumped into a ring of heat exchangers. These heat exchangers are air-cooled, which means that they are cooled by natural air suction caused by a temperature difference between the inside and the outside of the cooling tower.
The more the temperature difference exists between outside air and working fluid, the stronger the temperature driving force. In the summer, the temperature difference between the working fluid and the ambient air decreases, which will result in a reduction in temperature driving force, making the cooling tower’s efficiency to decrease.
Therefore, the thermal unit has to lower its power production, and the rate of water consumption will increase drastically to cool the heat exchangers. In this project, the airflow inside a dry cooling tower (HELLER) is simulated and analyzed by ANSYS Fluent.
Heller Geometry & Mesh
The geometry of this project includes a cooling tower, heat exchanger, flow domain, and an air inlet. The geometry is designed and meshed inside GAMBIT. The mesh type used for this geometry is unstructured and the total element number is 1343988 cells.
CFD simulation
The assumptions considered in this project are:
- Simulation is done using a pressure-based solver.
- The present simulation and its results are considered to be steady and do not change as a function time.
- The effect of gravity has been taken into account and is equal to -9.81m/s2 in the Y direction.
The applied settings are recapitulated in the following table.
| (Heller) | Models | |
| Viscous model | k-epsilon | |
| k-epsilon model | standard | |
| near-wall treatment | standard wall function | |
| Energy | on | |
| (Heller) | Boundary conditions | |
| Inlet | Pressure inlet | |
| Gauge total pressure | 0 Pa | |
| Direction specification method | Normal to boundary | |
| Outlet | Pressure outlet | |
| Gauge pressure | 0 Pa | |
| Backflow direction specification method | Normal to boundary | |
| temperature | 303 K | |
| Walls | ||
| Heller, Heller shadow | wall motion | stationary wall |
| Wall, wall shadow | heat flux | 0 W/m-2 |
| wall motion | stationary wall | |
| Radiator | Temperature | 318 K |
| Heat generation rate | 14861.52 W/m3 | |
| wall motion | stationary wall | |
| Radiator shadow | Temperature | 313 K |
| Heat generation rate | 14861.52 W/m3 | |
| (Heller) | Solution Methods | |
| Pressure-velocity coupling | Â | SIMPLE |
| Spatial discretization | pressure | standard |
| density | first-order upwind | |
| momentum | first-order upwind | |
| energy | first-order upwind | |
| turbulent kinetic energy | first-order upwind | |
| turbulent dissipation rate | first-order upwind | |
| (Heller) | Initialization | |
| Initialization method | Â | Standard |
| gauge pressure | 0 Pa | |
| velocity (x,y,z) | 0 m/s-1 | |
| temperature | 303.0806 K | |
| Turbulent kinetic energy | 1 m2/s2 | |
| Turbulent dissipation rate | 1 m2/s3 |
Heller Results
The contours of velocity, pressure, temperature, and flow streamlines are obtained at the end of the solution process.
Call On WhatsApp
Summer Kilback –
Can the simulation model the effects of different fan speeds on the cooling tower performance?
MR CFD Support –
Yes, the simulation can be adjusted to simulate the effects of different fan speeds, which can significantly impact the cooling tower’s performance.
Brando Pagac –
Can this simulation model consider the effects of ambient wind on the cooling tower performance?
MR CFD Support –
Absolutely, the simulation can be adjusted to account for the effects of ambient wind, which can influence the performance of the cooling tower.
Jaiden Wintheiser –
Can this model simulate the effects of different weather conditions on the cooling tower performance?
MR CFD Support –
Sure, the simulation can be adjusted to account for various weather conditions, which can significantly impact the performance of the cooling tower
Brigitte West –
Does this model take into account the effect of the sun’s heat on the tower?
MR CFD Support –
Yes, the simulation can factor in the effect of solar heating on the tower, which can impact the cooling efficiency.
Prof. Michale Johnston –
Can i ask if if the simulation is capable of simulating the heat transfer process between the tower’s air and water?
MR CFD Support –
the simulation is proficient in accurately representing the heat transfer dynamics between the air and water within the tower.