Volume 19, Issue 5 (May 2019)
Modares Mechanical Engineering 2019, 19(5): 1115-1125 |
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Alisadeghi H, Safipour H, Rezaiefard H. Numerical Simulation and Parametric Study of an Oscillating Twin-Wing Wind Generator. Modares Mechanical Engineering 2019; 19 (5) :1115-1125
URL: http://mme.modares.ac.ir/article-15-24482-en.html
URL: http://mme.modares.ac.ir/article-15-24482-en.html
1- Aerodynamics Department, Aerospace Engineering Faculty, K.N. Toosi University of Technology, Tehran, Iran , alisadeghi@kntu.ac.ir
2- Aerodynamics Department, Aerospace Engineering Faculty, K.N. Toosi University of Technology, Tehran, Iran
2- Aerodynamics Department, Aerospace Engineering Faculty, K.N. Toosi University of Technology, Tehran, Iran
Abstract: (8713 Views)
An airfoil that is heaving and pitching simultaneously may extract energy from an oncoming flow, acting as a turbine. The extracting energy from a flow is possible if the effective parameter in performance of turbine is selected properly. In this study, the theoretical performance of an oscillating twin-wing wind generator is investigated through unsteady two-dimensional laminar-flow simulations, using the commercial computational fluid dynamics code FLUENT. Computations By examining various geometric, motor, and slippery parameters and investigating the effect of each of these parameters, we present a mapping of power-extraction efficiency in the frequency and pitching amplitude domain for a NACA 0015 airfoil at a Reynolds number of 41000. Results of a parametric study show that motion-related parameters such as heaving amplitude and frequency have a strong effect on airfoil performances, whereas geometry parameters turn out to play a secondary role. A power extraction efficiency of 49% is reached by twin-wing parallel configuration. This configuration improve the efficiency by around 7% as compared to the single foil configuration.
Keywords: Oscillating Airfoil
Pitching Motion
Heaving Motion
Power Extraction Regime
Twin-Wing Wind Generator
Article Type: Original Research |
Subject:
Computational Fluid Dynamic (CFD)
Received: 2018/08/26 | Accepted: 2018/12/3 | Published: 2019/05/1
Received: 2018/08/26 | Accepted: 2018/12/3 | Published: 2019/05/1
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