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

$120.00 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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Description

Introduction

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.

D

 

X

 

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:

 

 

Models(Viscous)
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

Materials
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
Outlet

Wall

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.

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

  1. Avatar Of Ethelyn Emmerich

    Ethelyn Emmerich

    The description was really insightful! I found the details intriguing and informative. Could you clarify what exactly impacts the rate at which the water droplets evaporate?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thanks for your positive feedback! The evaporation rate of water droplets is influenced by several factors, including the temperature and humidity of the intake air, the temperature gradient between the droplets and the surrounding air, the size and distribution of the droplets, and airflow dynamics within the intake duct. The provided CFD simulation models these conditions to predict evaporation rates accurately in the fogging system of the gas turbine engineering process.

  2. Avatar Of Mr. John Bashirian Iv

    Mr. John Bashirian IV

    I am thrilled with how the training for the Air Intake of Gas Turbine Considering Fogging System has improved my understanding of the simulation process in ANSYS Fluent. The handling of the DPM along with the Species Transport Model was intricate and this training made it approachable. The temperature decrease at the outlet clearly showed the efficiency of the fogging system which was quite an enlightening study. Great job simplifying a complex process for educational purposes!

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your positive feedback! We’re really glad to hear that you found the training helpful and that it improved your understanding of the complex processes within ANSYS Fluent. It’s our goal to simplify and clarify the subjects of CFD for educational purposes. We appreciate your comments and are pleased to know that the simulation training effectively demonstrated the efficiency of the gas turbine’s fogging system. Thank you for choosing our services!

  3. Avatar Of Rowena Beer Sr.

    Rowena Beer Sr.

    The training was very clear and the examples provided made it easy to understand the process and results!

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your positive feedback! We’re thrilled to hear that our training material was clear and helpful to you. Understanding the complex workings of CFD simulations like the one for the gas turbine air intake with a fogging system is our goal. If you have any more questions or need further assistance in the future, feel free to reach out!

  4. Avatar Of Gaylord Quigley

    Gaylord Quigley

    I was very pleased with the detailed explanation of how the fogging system can impact gas turbine efficiency. The use of DPM and the Species Transport Model in the simulation was well articulated. The results clearly show the effect of temperature change due to fogging nozzles, which is vital for the design considerations in the industry.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your positive feedback! We’re delighted to hear that our explanation on the fogging system’s impact on gas turbine efficiency met your expectations and provided you with the necessary insights. If there are any more aspects of our simulations or other products that interest you, don’t hesitate to reach out or explore further. We appreciate your support and are here to assist with any additional information or questions you may have.

  5. Avatar Of Dr. Monserrat Mcdermott

    Dr. Monserrat McDermott

    I’m impressed with the detail that has gone into simulating the air intake of a gas turbine using a fogging system. The results sound very promising for cooling efficiency improvements!

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your kind words! We’re glad you recognize the effort we put into our simulations to ensure they are as detailed and accurate as possible. It’s great to hear that our product has met your expectations in illustrating the benefits of a fogging system in enhancing gas turbine cooling efficiency.

  6. Avatar Of Maggie Lakin Jr.

    Maggie Lakin Jr.

    I found the explanation about the droplet injection material and droplet size settings to be very clear. Thank you for providing these details, as they are critical for understanding how tiny water particles can affect air temperature.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your compliments! We strive to offer clear and detailed explanations to ensure users fully understand the nuances of the complex simulations. If you have any more questions or require further information, feel free to ask. We’re here to help!

  7. Avatar Of Merle Hammes

    Merle Hammes

    I’m really impressed with the detail and complexity of the simulation for the air intake of a gas turbine using a fogging system! The use of DPM and Species Transport Model sounds like it provides accurate insights into temperature changes, which is critical for turbine efficiency. It’s also great to know that the model accounts for particle tracking and interaction with the continuous phase, thus showing the immediate effect of fogging on temperature. Well done MR CFD Company on this comprehensive fluid dynamics analysis!

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your appreciation of our air intake simulation with a fogging system for gas turbines. We’re glad that you found the analysis detailed and informative. The combination of DPM and Species Transport Model indeed allows us to accurately study the temperature modification effects and its importance for the efficiency of gas turbine systems. If you ever have questions or need further insights on any of our products, don’t hesitate to reach out.

  8. Avatar Of Abigail Bartoletti Phd

    Abigail Bartoletti PhD

    This product made it so clear how the fogging system impacts gas turbine efficiency! The report clarifies how droplet evaporation reduces intake air temperature. But how do you ensure accuracy in modeling the droplet size and distribution in the duct?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your compliment on our product’s clarity regarding the fogging system’s effect on gas turbine efficiency. To ensure accuracy in the model, the droplet size and their distribution within the intake duct is determined based on realistic conditions and validated through experimental data or authoritative references in the field, if available. We precisely control the droplet size by setting up an appropriate injection mode in the DPM, and we account for an adequate distribution through careful positioning and orientation of the nozzles. Additionally, numerical simulations like these are typically calibrated by physical trial results or scaled down models where available, which aids in ensuring that the simulation results are reliable and reflective of real-world performance.

  9. Avatar Of Prof. Izaiah O'Connell Ii

    Prof. Izaiah O’Connell II

    Wonderful! The simulation of the air intake with the fogging system was extremely insightful. I particularly appreciate how the discrete phase model was leveraged to illustrate the interactions between the air and the fog droplets. It’s compelling to see the temperature decrease quantified, affirming the efficiency of the fogging system. The detailed explanation of the setup and results really helped me deduce how significant temperature management is in the performance of gas turbines. Thank you for an excellent tutorial.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      We’re thrilled to hear that you’ve found this simulation insightful and helpful in understanding the effects of the fogging system on gas turbine air intake. It’s amazing to see our tutorial contributing to your understanding of temperature management and its critical role in enhancing turbine efficiency. Thank you for your positive feedback, and please don’t hesitate to get in touch if you have any more questions or need further assistance with any of our products.

  10. Avatar Of Kris Krajcik

    Kris Krajcik

    I’ve been absolutely impressed with the air intake simulation considering a fogging system! The detailed methodology of the simulation is as meticulous as it is fascinating. Given the complexity, I reckon this program helps in making informed decisions when implementing fogging systems.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your complimentary review! We’re thrilled to hear that you find the air intake simulation with the included fogging system both detailed and insightful. It’s great to know that our product could be of substantial aid in understanding and improving gas turbine efficiency through inlet temperature control. Your acknowledgment motivates us to keep providing high-quality training materials.

  11. Avatar Of Mr. Troy Lebsack V

    Mr. Troy Lebsack V

    This training course seems comprehensive. However, I wonder if there was any specific reason behind choosing a 0.01 time step size for the calculation? Would different time step sizes significantly alter results, especially regarding droplet evaporation in the simulation?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your interest in the training. The selected time step size of 0.01 is usually a balance between simulation accuracy and computational effort. It is small enough to capture the transient effects of droplet evaporation but also reasonably large to keep simulation times manageable. Using a different time step could change the results if the transient behavior of the system has specific time-scale sensitive phenomena. A sensitivity analysis on the time step size is often performed to ensure that such a choice yields accurate results without excessively increasing computational demands.

  12. Avatar Of Danielle Powlowski

    Danielle Powlowski

    The product comprehensively allowed me to understand the significance of fogging system in gas turbines and its intricate details of simulation using ANSYS Fluent. The level of detail in setting parameters and the well-explained geometry made it much clearer the effect of droplet size, material data and injection types on temperature conditions within a turbine’s intake duct.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your positive feedback! We’re delighted to hear that you found our product informative and educational, particularly concerning the functioning of the fogging system in gas turbines using ANSYS Fluent. It’s great to know that the details provided on setting up the simulation parameters enhanced your understanding of the impact of droplet size and other factors. We appreciate your appreciation for the complexity and precision required in such simulations. Your insights are valuable to us, and if you ever have more questions or need further assistance, we’re just a message away!

  13. Avatar Of Tiana Zemlak

    Tiana Zemlak

    What implications would this fogging system have on turbine longevity and maintenance, considering the potential moisture increment in the system?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      If not properly designed or managed, introducing additional moisture into the gas turbine system through fogging could lead to corrosion or fouling, potentially impacting the turbine’s longevity and increasing maintenance requirements. Proper materials and coatings, as well as maintenance practices, need to be established to mitigate these risks.

  14. Avatar Of Mrs. Belle Torp

    Mrs. Belle Torp

    Is the model accounting for variations in ambient temperature throughout the day in real operational conditions?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      In this simulation, ambient temperature variations throughout the day are not directly accounted for. The inlet temperature is set at a constant value for the purpose of this study, and the effects of the fogging system on that specific temperature are observed. Variations in ambient temperature would require either additional simulations for different temperatures or a more complex setup that includes temperature changes over time.

  15. Avatar Of Jedidiah Schneider

    Jedidiah Schneider

    Can you explain how the interaction between water droplets and air flow is modeled in the simulation?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      The interaction between water droplets and air flow in the simulation is modeled using the Discrete Phase Model (DPM) in conjunction with the Species Transport Model. During the simulation, the DPM allows tracking of millions of water droplets as they interact with the continuous air phase. The fogging system’s impact is captured by monitoring particle tracking and evaporation over time, which results in a decrease in inlet temperature due to the heat exchange between air and evaporating droplets.

  16. Avatar Of Vergie Auer

    Vergie Auer

    The tutorial was incredibly comprehensive, guiding me meticulously through the turbulent model and water evaporation process. The details on setting up the discrete phase model and the species transport make it much clearer how the water droplets interact with the air temperature.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your positive feedback! We’re delighted to know that the tutorial was informative and helpful to you. It’s great to hear that the details provided clarity on the interaction between droplet evaporation and air temperature regulation. Should you have any further inquiries or need assistance with any other CFD simulations, feel free to reach out to us.

  17. Avatar Of Ms. Mariana Cremin Md

    Ms. Mariana Cremin MD

    The attention to detail in both the material definitions and boundary conditions is impressive. It seems like all considerations for a real-world application of fogging systems in gas turbine air intakes have been taken into account. Can you tell me a bit more about how the evaporating of the water droplets effectively reduces the temperature inlet, as I’m interested to see how much of an impact the fogging system makes in a practical scenario for energy efficiency?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      We are thrilled you find the product impressive! The effectiveness of the fogging system is rooted in the principle of evaporative cooling. As the water droplets injected into the air stream begin to evaporate, they absorb heat from the surrounding air. This absorption of heat is what causes a decrease in the air temperature. In this simulation, you can observe that temperature at the outlet drops significantly due to the presence of evaporating droplets, which pulls energy from the airstream. The result is an effective lowering of the inlet air temperature to the turbine, optimizing its performance by increasing efficiency.

  18. Avatar Of Linwood Dibbert

    Linwood Dibbert

    I just finished the gas turbine air intake CFD course utilizing the fogging system. I must say, observing the temperature drop in the simulation was enlightening. A great application of the DPM and I was particularly impressed by the structured grid which helped streamline the computational load. Learnt a lot!

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your positive review! We’re delighted to hear that you found the course enlightening and that you were able to see the practical applications of the Discrete Phase Model and appreciate the efficiency of the structured grid. If you have any more questions or need further assistance, don’t hesitate to reach out!

  19. Avatar Of Marielle Stiedemann

    Marielle Stiedemann

    This training sounds impressive! The detail in the simulation setup seems very thorough. Can you comment on how the temperature drop might affect turbine longevity besides efficiency?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Admin here, thanks for your kind words! In addition to improving efficiency, lowering the inlet temperature with a fogging system can potentially enhance the longevity of a gas turbine by reducing thermal stress and fatigue in turbine components. Cooler intake air means materials within the turbine are subjected to lower operating temperatures, which can decrease the rate of wear and tear, leading to a longer service life.

  20. Avatar Of Makenna Wolff

    Makenna Wolff

    The course has streamlined the complex process of simulating a gas turbine’s air intake with a fogging system. I appreciated the detailed setup for the DPM and the Species Transport Model, which made understanding the steps easier. Great work on explaining the mesh and geometry preparation and loved the simplicity of the outcome analysis.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your positive feedback! We’re delighted to hear that you found the course useful and clear, particularly with the detailed explanations on DPM and Species Transport Model setup, as well as mesh and geometry handling. If you have further interest or need assistance with advanced simulations, feel free to reach out. We’re here to help enhance your CFD skills!

  21. Avatar Of Vivianne Grant

    Vivianne Grant

    I purchased the Air Intake of Gas Turbine Considering Fogging System CFD Simulation tutorial and it significantly enhanced my understanding! The step-by-step instructions were enlightening, and using the DPM and Species Transport Model was particularly insightful. I observed the droplet evaporation effect on the gas turbine’s inlet temperature just like it was outlined. Your product translated into practical knowledge brilliantly!

    • Avatar Of Mr Cfd Support

      MR CFD Support

      We’re thrilled to hear that our tutorial on the Air Intake of Gas Turbine with Fogging System met your expectations and provided you with actionable insights into the simulation process using DPM and the Species Transport Model. Thank you for taking the time to share your positive experience, and we look forward to continuing to support your learning journey!

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