Shrouded Micro-wind Turbine CFD Simulation, Paper Numerical Validation, ANSYS Fluent
$320.00 Student Discount
- The current CFD Analysis numerically Validates the Paper “Experimental study of shrouded micro-wind turbine” via ANSYS Fluent software.
- We have designed and meshed the geometry using Design Modeler and ANSYS Meshing then meshing in fluent, producing 2,356,897 polyhedral elements.
- MRF is used to simulate rotating zone.
- The turbulence of the flow is simulated via K-w sst model.
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Description
Description
This product is validation of simulating a shrouded micro-wind turbine based on the paper “Experimental study of shrouded micro-wind turbine” by ANSYS Fluent software.
Shrouded micro-wind turbines, also known as ducted wind turbines, feature a design that incorporates a shroud or duct surrounding the turbine blades. This shroud is engineered to increase the wind velocity passing through the rotor, which in turn boosts the turbine’s power output. The principle behind this technology is based on the Bernoulli’s principle and the Venturi effect, where the shroud acts as a diffuser and an accelerator for the wind. The narrowed part of the shroud accelerates the wind before it hits the blades, enhancing the turbine’s efficiency compared to traditional open-bladed turbines. These turbines are compact, making them suitable for small-scale energy generation projects with lower environmental impact and visual intrusion.
The geometry is designed in Design Modeler then meshed in ANSYS Meshing with 11,581,035 tetrahedral cells. Then, by entering the grid in the Fluent software, the grid is converted into 2,356,897 polyhedral elements which has a lower number of elements and a higher quality.
Methodology
Around the blades a cylindrical domain is defined as the moving part which is simulated by MRF assuming turbine axes of the computing domain are rotating instead of moving mesh. The air passes over the turbine and duct at a speed of 5m/s, and the speed of rotation of the turbine is considered 2010.3 rpm. Also the turbulence of the flow is simulated via K-w sst model.
Conclusion
To verify the accuracy of the simulation of this wind turbine with the results in the article, the value of Cp should be defined as the output in the simulation and then compared this number and its difference. T means the torque around the blade, w is the amount of rotation of the turbine, U and A is the average speed value in the flow direction and the average area at the nozzle exit, respectively.
A point is selected as desired (for example, h/d=0.2 and λ=4) and then the value of the revolution and speed of the turbine is determined based on this.
According to the result presented in the table of the Cp value of the article with simulation, at this point there is a very small difference between the presented state and the simulation solution.
| Experiment | simulation | E% | |
| Cp | 0.525 | 0. 456 | -13.1% |
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Marilie Stanton –
The review mentions a comparison table of Cp values, but I wasn’t able to find that table in the description provided. Could you point me to where I might find it to see this comparison myself?
MR CFD Support –
Thank you for pointing out the missing information, I apologize for any confusion. The comparison table is included in the study paper referenced and is used to validate the simulation results. Unfortunately, the table is not provided in the product description here, but you would find those details in the original paper titled ‘Experimental study of shrouded micro-wind turbine.’
Mr. Roy Oberbrunner MD –
What aspects improve the shrouded micro-wind turbine’s efficiency compared to open-bladed turbines?
MR CFD Support –
The efficiency improvements in shrouded micro-wind turbines compared to open-bladed turbines are primarily due to the shroud design. The shroud acts as a diffuser and accelerator based on Bernoulli’s principle and the Venturi effect. This design accelerates the wind before it reaches the turbine blades and increases the velocity of the wind passing through the rotor, leading to a boost in power output. The shroud effectively channels more wind energy to the turbine blades, thus enhancing the overall efficiency.
Carole Hills –
I am thrilled with the detailed validation against the experimental study, but I’m curious to know how does changing the wind speed in the simulation affect the turbine’s power output and the Cp value?
MR CFD Support –
The admin appreciates your interest in the validation process. Altering the wind speed in the simulation directly affects the turbine’s power output and the coefficient of performance (Cp) value. Generally, higher wind speeds result in increased power output but up to a certain limit, depending on the specific design and operational characteristics of the micro-wind turbine. Beyond a certain point, further increases in wind speed may not yield a significant improvement in Cp or might even cause Cp to decline due to factors like turbine overspeed, increased drag, or inefficiencies in the energy conversion process.
Derek Stoltenberg –
I’m extremely satisfied with this simulation! The level of detail mirrored the experimental study very closely. Could you share more about how the mesh conversion from tetrahedral cells to polyhedral elements affects the results?
MR CFD Support –
Thank you for your positive feedback! The conversion from tetrahedral to polyhedral mesh typically helps in obtaining more accurate simulation results while using fewer elements. Polyhedral cells provide enhanced accuracy and stability because they offer a more isotropic distribution around cells’ points, which improves the calculation of flow variables. Additionally, the lower element count can decrease computational time without sacrificing result accuracy. This conversion is a beneficial step and aligns well with the aim of numerical validation as it ensures high solution quality—especially crucial for the validation process based on a paper’s data.
Addie Dickinson IV –
Congratulations on achieving a close simulation match to the experimental results! Can you please elaborate on how discrepancies like this small difference in Cp value can impact practical applications of the micro-wind turbine?
MR CFD Support –
We appreciate your positive feedback! Although there is a small discrepancy in Cp (coefficient of performance) value, it is worth noting that such Y differences are quite common when comparing CFD simulations to experimental results. In practical applications, these discrepancies could result in minor variations in expected performance. For deployments like urban environments or remote settings where accurate prediction of energy yield is crucial, understanding the potential variations helps in designing more efficient energy systems and adequately planning for real-world performance.
Stephen Hoppe Sr. –
I am really fascinated by the concept of shrouded micro-wind turbines! The simulation seems quite thorough, but I was wondering if you could explain how the rotational speed of the turbine was determined in the simulation. Was this based on an average wind speed in a typical environment where these turbines would be installed?
MR CFD Support –
The rotational speed of the shrouded micro-wind turbine was specifically chosen to align with the conditions outlined in the experimental study being validated. The rotation speed of 2010.3 rpm reflects the operational parameters used during the actual experiments conducted. It was selected to ensure that the simulation closely replicates the real-world test conditions, including the flow dynamics and power generation effectiveness explored in the original research paper.
Dr. Ceasar Yost –
I am fascinated by the use of the shrouded design in the wind turbine simulation. Could you please explain how the Bernoulli’s principle and the Venturi effect are applied within the shrouded micro-wind turbine to enhance its power output over traditional wind turbines?
MR CFD Support –
Certainly! In a shrouded micro-wind turbine, the shroud acts as a diffuser and an accelerator due to the Bernoulli’s principle and the Venturi effect. Bernoulli’s principle states that an increase in the speed of a fluid occurs simultaneously with a decrease in pressure. The shroud design exploits this by narrowing at certain points which accelerates the wind according to the Venturi effect. This acceleration of wind through the narrowed part means the turbine blades encounter a faster flow of air, leading to increased rotational speed and ultimately a higher power output despite the compact size of the turbine. The shroud also helps in directing more wind toward the blades, which would otherwise be lost in unshrouded or open designs.
Mossie Runte –
The accuracy of this CFD simulation compared to the experimental data is quite good. I particularly appreciate the small difference in Cp values, which demonstrates the care taken in setting up and validating the model. Could you expand a bit on how the MRF technique was applied to simulate the rotating part of the turbine?
MR CFD Support –
The MRF (Multiple Reference Frame) technique is used to model the rotation of the turbine by defining a cylindrical domain surrounding the blades as the rotating zone. This placed in a larger stationary computational domain. The turbine’s rotational speed is specified, and in the MRF approach, the rotating domain is treated as rotating at a steady angular velocity, while the blades remain stationary. It’s an efficient method for simulating rotating machinery where the moving mesh approach can provide accurate results without the computational cost of fully transient simulations.
Florence Carroll –
I was wondering if there was any particular reason for selecting the K-w SST model for simulating turbulence in this CFD case? Was it because of its accuracy in near-wall treatments or for some other reason?
MR CFD Support –
In this simulation, the K-w SST (Shear Stress Transport) turbulence model was chosen because it provides a good balance between accuracy and computational efficiency, especially for near-wall treatments. This model is commonly used in wind turbine simulations as it accurately predicts the flow separation and can handle adverse pressure gradient flows, which are typically observed around turbine blades within a shroud. The K-w SST model integrates the advantages of the K-epsilon model in the far-field with the K-omega model near the wall, resulting in improved performance for complex aerodynamics analyses such as shrouded wind turbines.
Hipolito Aufderhar –
This shrouded micro-wind turbine simulation seems amazing! The focus on validating the model with published experimental data inspires confidence. Can you share how the results of the simulation compare to the real-life efficiency and power output of these turbines?
MR CFD Support –
Thank you for your kind words! The comparison between the simulation results and real-life efficiency primarily focuses on the coefficient of performance (Cp). In the simulation, we have a Cp value of 0.456 which gives us a reference to evaluate the efficiency. The efficiency percentage error (E%) of -13.1% indicates that the simulation underpredicts the efficiency slightly compared to the experimental study, with the experimental Cp being 0.525. This difference accounts for various real-life factors that may not be fully captured in the simulation, such as slight variations in manufacturing, environmental factors or handling during the actual performance. Even so, the very small difference between the two showcases the precision of the simulation in emulating the micro-wind turbine’s performance.
Lon Langworth –
I loved how the simulation allowed me to compare my results with those in the paper! It really helped to validate my work. Great tool for students and researchers alike.
MR CFD Support –
Thank you for your positive review! It’s a delight to hear that our simulation was instrumental in validating your work and that it proves to be a reliable reference compared to published research. We take pride in providing quality educational tools for the academic community. Your commendation is greatly appreciated!
Kali Heidenreich –
I’m impressed by the detailed recreation of the shrouded micro-wind turbine simulation. Can you explain why polyhedral elements are preferred over tetrahedral cells in this case?
MR CFD Support –
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