Modeling and simulation of wind turbine Savonius rotors using artificial neural networks for estimation of the power ratio and torque

Simulation Modelling Practice and Theory

Volumn 17, Issue 7, 2009, Pages 1290-1298

  Sargolzaei, J ^a   Kianifar, A ^a  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

Author keywords

Blade angles; Neural networks; Savonius rotors; TSR; Wind tunnel

Indexed keywords

ARTIFICIAL NEURAL NET; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; BLADE ANGLE; BLADE ANGLES; EXPERIMENTAL DATA; INPUT PARAMETER; MAXIMUM POWER; MODELING AND SIMULATION; POWER FACTORS; POWER RATIO; SAVONIUS ROTOR; SAVONIUS ROTORS; SAVONIUS TURBINE; SIMULATED RESULTS; TIP SPEED RATIO; TSR;

AERODYNAMICS; BACKPROPAGATION; ELECTRIC POWER FACTOR; REYNOLDS NUMBER; ROTORS; TORQUE; TUNNELS; TURBOMACHINE BLADES; WIND POWER; WIND TUNNELS; WIND TURBINES;

NEURAL NETWORKS;

EID: 67649367526     PISSN: 1569190X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.simpat.2009.05.003     Document Type: Article

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