Air Intake of Gas Turbine Considering Fogging System, CFD Simulation ANSYS Fluent Training

$180.00 Student Discount

In this project, a part of the air intake duct of the gas turbine is simulated, considering the fogging system via Ansys Fluent.

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The gas turbine efficiency is highly dependent on the inlet temperature supplied by ambient air. Thus, by decreasing the inlet temperature, the gas turbine performance could be significantly improved. The fogging system is one of the best solutions that work by injecting billions of water droplets into the inlet duct and causing a decrease in intake temperature by evaporating.

Air Intake of Gas Turbine Considering Fogging System Problem Description

In this project, a part of the air intake duct of the gas turbine is simulated, considering the fogging system. Air enters the first section of the duct at 2m/s velocity magnitude and encounters millions of water droplets after passing through a nozzle. The aim of the study is to investigate the effect of fogging system on temperature. We have used discrete phase model (DPM) and Species Transport Model in this simulation.

Geometry & Mesh

The 3D geometry is modeled in Ansys Design Modeler software. A 15*15m duct is connected to a 7.5*7.5m duct (figure 1). Also, the mesh grid is carried out using Ansys Meshing software. Furthermore, a structured grid is generated to keep computational costs at optimal conditions. Therefore 108000 elements established the fluid domain.





CFD Simulation

Several assumptions have been considered to simulate the fogging system in the gas turbine air intake, including:

  • The simulation is Transient to investigate the fogging system’s influence over time.
  • The pressure-based solver type is used due to the incompressibility of the working fluid.
  • Gravitational acceleration effects are applied in the –y-direction.

The following table represents a summary of the solution:



Viscous K-epsilon Standard
Species Model Species Transport
Discrete phase Model Interaction Interaction with continuous phase
DPM iteration interval 10
Particle Treatment Unsteady Particle Tracking

Track with fluid flow time step

  Injections Particle Type: Droplet
Injection Type: Surface

Material: Water-liq

Evaporating Species: h2o

Diameter: 1e-5

Temperature: 283K

Velocity Magnitude: 1m/s

Total Flow Rate: 5kg/s

Fluid Definition method Fluent database
Material name Air
Droplet Particle Water-liq
Cell zone condition
Material name Mixture-template
Boundary condition
Inlet Type Velocity inlet
Velocity magnitude 2m/s
Turbulent intensity 5%
Turbulent viscosity ratio 10


Type Pressure-outlet
Gauge Pressure 0
Type Wall

(Stationary – No-slip condition)

Solver configuration
Pressure-velocity coupling Scheme SIMPLE
Spatial Discretization Gradient Least squares cell-based
Pressure Second order
Momentum Second-order upwind
Turbulent kinetic energy First-order upwind
Turbulent dissipation rate First-order upwind
Energy First-order-upwind
H2o First-order-upwind
Initialization Initialization methods Standard Initialization
Run Calculation Time step size 0.01
Max iteration/time step 20

Air Intake of Gas Turbine Considering Fogging System Results

After the simulation process, 2d & 3d contours are extracted. As seen in the outlet’s temperature report, the droplets could be evaporated by receiving heat from the air due to the temperature gradient. As a result, the temperature falls to 306.5K. Note that, in the industries, the air intake ducts are designed giant that could pass a large mass flow. Besides, the total number of droplets is higher, but considering the study aim, we have simplified it to reduce computational costs.


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