Performance Prediction and Validation of a Small-Capacity Twisted Savonius Wind Turbine

In this study, an off-grid–type small wind turbine for street lighting was designed and analyzed. Its performance was predicted using a computational fluid dynamics model. The proposed wind turbine has two blades with a radius of 0.29 m and a height of 1.30 m. Ansys Fluent, a commercial computationa...

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Bibliographic Details
Published in:Energies (Basel) 2019-05, Vol.12 (9), p.1721
Main Authors: Jang, Hyeonmu, Paek, Insu, Kim, Seungjoo, Jeong, Deockjin
Format: Article
Language:English
Subjects:
Aerodynamics
Computational fluid dynamics
Computer applications
Computer simulation
Controllers
Efficiency
Electric power
Electricity
Field study
Field tests
Fluid dynamics
Fluid flow
Hydrodynamics
Mathematical models
Maximum power
Methods
Pressure distribution
Researchers
Simulation
small wind turbine
Test stands
Turbines
Turbulence
Turbulence models
twisted Savonius wind turbine
Velocity
Wind power
Wind speed
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Summary:In this study, an off-grid–type small wind turbine for street lighting was designed and analyzed. Its performance was predicted using a computational fluid dynamics model. The proposed wind turbine has two blades with a radius of 0.29 m and a height of 1.30 m. Ansys Fluent, a commercial computational fluid dynamics solver, was used to predict the performance, and the k-omega SST model was used as the turbulence model. The simulation result revealed a tip-speed ratio of 0.54 with a maximum power coefficient, or an aerodynamic rotor efficiency of 0.17. A wind turbine was installed at a measurement site to validate the simulation, and a performance test was used to measure the power production. To compare the simulation results obtained from the CFD simulation with the measured electrical power performance, the efficiencies of the generator and the controller were measured using a motor-generator testbed. Also, the control strategy of the controller was found from the field test and applied to the simulation results. Comparing the results of the numerical simulation with the experiment, the maximum power-production error at the same wind speed was found to be 4.32%.
ISSN:1996-1073
1996-1073
DOI:10.3390/en12091721