This work presents an innovative technique to enhance the performance of the Savonius wind turbine. The new technique is based on introducing an upstream deflector and downstream baffle. The shape and location of both devices are optimized using a genetic algorithm. The performance of the turbine with the optimized devices is compared with the single Savonius turbine performance. The study employs the finite volume solver (ANSYS-FLUENT) to solve unsteady Reynolds Averaged Navier–Stokes equations and turbulence model equations. The optimized configuration results in much higher power coefficient than the Savonius turbine. The average peak power coefficient using both deflector and baffle is 0.47 compared to 0.24 of the Savonius turbine. The peak power coefficient of the turbine corresponds to a speed ratio close to unity. This improved performance is attributed to the favorable aerodynamic interaction between the turbine and the downstream baffle which accelerates the flow around the rotor and generates larger turning torque. The baffle generates a jet effect on the advancing bucket and accelerates the flow behind the bucket creating a large zone of negative pressure and thereby increases the driving torque. Furthermore, the upstream deflector (also called shield or curtain) produces a shield for the returning bucket of the turbine which diminishes the adverse effect associated with the returning bucket on the aerodynamic torque of the turbine. This remarkable improvement of turbine performance will encourage the future application of the Savonius wind turbine in small power applications of wind energy.
The application of small power wind turbines has been widely spreading over the last decade. The vertical axis wind turbine type is one class which is very attractive in this respect. However, due to its lower performance, it has not been extensively used in such application. The objective of the present paper is to investigate methods of Savonius turbine performance improvement. It is suggested to use a downstream baffle to achieve this goal. The baffle position, length and inclination angle are optimized using 2D Computational Fluid Dynamics model. The model is initially validated by comparison to experimental data reported for the Savonius turbine without baffle. The results show that 40–50% improvement in turbine performance can be obtained by using the optimum baffle design, compared to the turbine performance without baffle. The baffle effect is analyzed and results show that its major role is to reduce the pressure on the backside of the advancing blade. This effect enhances the positive driving torque on the advancing blade of the Savonius turbine and thus increases its power coefficient near the optimum tip speed ratio.
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