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Effect of Air-Ducted Blade Design on Horizontal Axis Wind Turbine Performance

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  • Cemil Yigit

    (Mechanical Engineering Department, Sakarya University, Sakarya 54187, Turkey)

Abstract

Wind turbines without pitch control are more preferable from economical point of view but aerodynamic stall affects them more and after a critical wind speed local boundary layer separation occurs. Consequently, their power production is relatively low. In this study, air ducts added on the blade and using the airflow from them the kinetic energy of the low-momentum fluid behind the surface was increased and delay of separation of the boundary layer from the surface was examined The Response Surface Optimization method was utilized in order to get the best possible design under the constraints and targets arranged for the parameters termed the diameter, slope, number and angle of attack of the air ducts. By using computational fluid dynamics analysis, optimum parameter values were obtained and air-ducted and air-duct free blade designs were compared. An improvement in power coefficient between 3.4–4.4% depending on wind speed was achieved with the new design. Due to increase in viscous forces, more power from the rotor obtained by opening air ducts up to a critical number. However, the results showed that after the critical number of air duct addition of more duct on the blade reduced the power coefficient.

Suggested Citation

  • Cemil Yigit, 2020. "Effect of Air-Ducted Blade Design on Horizontal Axis Wind Turbine Performance," Energies, MDPI, vol. 13(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3618-:d:384323
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    References listed on IDEAS

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    1. Tummala, Abhishiktha & Velamati, Ratna Kishore & Sinha, Dipankur Kumar & Indraja, V. & Krishna, V. Hari, 2016. "A review on small scale wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1351-1371.
    2. Maalawi, Karam Y. & Badawy, Mahdy T. S., 2001. "A direct method for evaluating performance of horizontal axis wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 5(2), pages 175-190, June.
    3. Lanzafame, R. & Messina, M., 2010. "Power curve control in micro wind turbine design," Energy, Elsevier, vol. 35(2), pages 556-561.
    4. Fatehi, Mostafa & Nili-Ahmadabadi, Mahdi & Nematollahi, Omid & Minaiean, Ali & Kim, Kyung Chun, 2019. "Aerodynamic performance improvement of wind turbine blade by cavity shape optimization," Renewable Energy, Elsevier, vol. 132(C), pages 773-785.
    5. Charlotte Bay Hasager & Pauline Vincent & Jake Badger & Merete Badger & Alessandro Di Bella & Alfredo Peña & Romain Husson & Patrick J. H. Volker, 2015. "Using Satellite SAR to Characterize the Wind Flow around Offshore Wind Farms," Energies, MDPI, vol. 8(6), pages 1-27, June.
    6. Unai Fernandez-Gamiz & Ekaitz Zulueta & Ana Boyano & Igor Ansoategui & Irantzu Uriarte, 2017. "Five Megawatt Wind Turbine Power Output Improvements by Passive Flow Control Devices," Energies, MDPI, vol. 10(6), pages 1-15, May.
    7. Karthikeyan, N. & Kalidasa Murugavel, K. & Arun Kumar, S. & Rajakumar, S., 2015. "Review of aerodynamic developments on small horizontal axis wind turbine blade," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 801-822.
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