Title :
Validation of a prediction model for control of micro wind turbines
Author :
McGowan, Ryan ; Komerath, Narayanan
Author_Institution :
Daniel Guggenheim Sch. of Aerosp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
A computational model is developed to guide the design and predict the performance of micro vertical axis wind turbines. A self-starting three-armed vertical axis wind turbine is modeled, with the capability to incorporate double blades, a guide vane, and drag tubes for self-starting and operation at low tip speed ratios. The performance of the model is validated against predictive models and data from the literature. The effects of Reynolds number variations are modeled and found to improve the fidelity of model predictions.
Keywords :
blades; flow; machine control; predictive control; wind turbines; Reynolds number variations; computational model; double blades; drag tubes; guide vane; microvertical axis wind turbines; microwind turbine control; prediction model; self-starting vertical axis wind turbine; three-armed vertical axis wind turbine; Automotive components; Blades; Computational modeling; Electron tubes; Predictive models; Torque; Wind turbines; VAWT; model; multiple streamtube theory; simulation; vertical axis wind turbine;
Conference_Titel :
Power, Signals, Controls and Computation (EPSCICON), 2012 International Conference on
Conference_Location :
Thrissur, Kerala
Print_ISBN :
978-1-4673-0446-7
DOI :
10.1109/EPSCICON.2012.6175284
