Two-Blade Savonius Wind Turbine: 3-D
Price: $160
This project uses ANSYS Fluent to numerically simulate a Savonius (two-blade) wind turbine.
The 3D model is built in SpaceClaim.
The model is meshed in ANSYS Meshing, with an element count of 494,456.
The simulation is run as unsteady (transient).
The Mesh Motion model is used to define the rotational motion.
Two-Blade Savonius Wind Turbine: 3-D
Price: $160
This project uses ANSYS Fluent to numerically simulate a Savonius (two-blade) wind turbine.
The 3D model is built in SpaceClaim.
The model is meshed in ANSYS Meshing, with an element count of 494,456.
The simulation is run as unsteady (transient).
The Mesh Motion model is used to define the rotational motion.
Savonius Wind Turbine 3D Course
The two-blade Savonius wind turbine is one of the simplest vertical-axis rotors to draw, but predicting its torque behavior in CFD is not trivial. This course, built by the CFD team at MR CFD, walks through a complete Savonius Wind Turbine 3D CFD Simulation of a two-blade rotor — from SpaceClaim geometry to Mesh Motion setup and result interpretation. You'll work with the same 494,456-element mesh, 10 m/s inlet, and 40 rpm rotation used in the reference case.
Who This Course Is For
This project suits mechanical and renewable-energy engineers who already understand basic Fluent workflows and want to move into transient, rotating-zone simulations. If you've completed an Ansys Fluent intermediate course and know how to set boundary conditions and run a steady solution, this Savonius case is a natural next step. Students researching vertical-axis wind turbines for thesis work or product design will find the inner/outer blade torque analysis directly usable.
Enroll through MR CFD's CFD course catalog to get the SpaceClaim geometry, mesh file, and Fluent case setup used here. The course is self-paced, so you can pause after the meshing section and return once you've reviewed your own rotating-zone settings.
What You'll Learn: Savonius Wind Turbine 3D CFD Simulation Syllabus
Stage | What's Covered | Key Parameter |
|---|---|---|
Geometry | 3D two-blade rotor built in SpaceClaim | 350 mm blade dia., 25 mm thickness, 800 mm height |
Domain | Rotor circle inside a far-field cuboid | 1000 mm rotor circle, 8000×4000×800 mm domain |
Meshing | Unstructured mesh in ANSYS Meshing | 494,456 elements |
Solver | Transient (unsteady) pressure-based solver | Mesh Motion on rotor zone |
Turbulence | SST k-omega closure | Resolves near-wall and wake flow |
Boundary Conditions | Velocity inlet, pressure outlet | 10 m/s inlet, 40 rpm rotation |
Post-processing | Pressure/velocity contours, streamlines | Inner vs outer blade torque interpretation |
Setting up Mesh Motion correctly is the trickiest part of this build — the rotating zone must fully enclose both blades without clipping the outer domain interface. If you haven't configured a rotating zone before, review the setup patterns in the Ansys Fluent advanced course before starting this project.
Software & Solver Requirements
Software | Role in This Project |
|---|---|
ANSYS SpaceClaim | 3D geometry of blades, rotor circle, and domain |
ANSYS Meshing | Unstructured mesh, 494,456 elements |
ANSYS Fluent | Transient solver, Mesh Motion, SST k-omega |
Fluent post-processing | Pressure, velocity, and streamline contours |
A transient run at ~494,456 elements with Mesh Motion isn't heavy by CFD standards, but completing a full rotation cycle at 40 rpm still takes several hours on a standard workstation. If you're queuing multiple RPM cases or refining the mesh further, MR CFD's ANSYS HPC service cuts that wall-clock time considerably.
Real Engineering Applications
Savonius rotors show up in rooftop wind installations, small off-grid power setups, and research on drag-type VAWTs where wind direction shifts constantly. Because the rotor needs no yaw mechanism, it fits turbulent, low-altitude urban wind profiles better than a horizontal-axis turbine. The pressure asymmetry extracted in this project — high pressure on the inner blade, high velocity across the outer blade's back — is exactly what an engineer needs to size a generator or estimate energy yield.
If your Savonius design needs validation against a specific site wind profile or a custom blade shape, MR CFD's CFD consulting team can extend this base case into a full parametric study.
Prerequisites
This isn't a first CFD project. You should already be comfortable with steady-state Fluent runs, basic meshing, and boundary condition setup before attempting a transient Mesh Motion case.
Background | Recommended If... | Suggested Course |
|---|---|---|
New to Fluent | Never run a Fluent case before | |
Steady-state only | Comfortable with basic setup, new to transient/rotating zones | Ansys Fluent intermediate curriculum |
Rotating machinery experience | Already used MRF or Mesh Motion | Start directly with this Savonius project |
Certificate & Outcome
Finishing this project gives you a completion certificate and, more importantly, a working Fluent case file you can adapt for other drag-type VAWT geometries. Many students use this exact rotating-zone workflow as a stepping stone toward research work or a portfolio project.
If you're building toward a CFD career, pair this project with MR CFD's CFD internship track to get feedback from working engineers on your setup and results.
It's a drag-type vertical-axis rotor with curved blades. Wind pushes harder on the concave (outer) face than the convex (inner) face, and that pressure difference drives rotation regardless of wind direction.
Flow hitting the inner blade's concave face stagnates and slows to near zero velocity, spiking local pressure. That pressure builds a resisting moment before the blade rotates past the stagnation point.
SST k-omega is used in this project because it handles both near-wall shear on the blade surface and the larger-scale wake behind the rotor without switching models mid-domain.
You define a cylindrical rotating zone containing both blades, assign it an angular velocity (40 rpm here), and let the transient solver update the mesh position at each time step.
2D ignores blade height and tip effects, which is faster but less accurate. This 3D case captures the full 800 mm blade height and any end-effect losses at the top and bottom of the domain.
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