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Performance prediction of NREL (National Renewable Energy Laboratory) Phase VI blade adopting blunt trailing edge airfoil

Author

Listed:
  • Lee, Sung Gun
  • Park, Sang Jun
  • Lee, Kyung Seo
  • Chung, Chinwha

Abstract

This study uses Computational Fluid Dynamics (CFD) to evaluate the performance of a blade with blunt airfoil which is adapted at the root. FLUENT software is used of numerical analysis, and ICEM-CFD is used for generating mesh representations. The experimental conditions of the blade used for this study were based on experimental data presented by the National Renewable Energy Laboratory. The models for numerical analysis are blades in which the blunt trailing-edge thickness was 1%, 5% and 10% of the chord. These blades are modifications of the NREL (National Renewable Energy Laboratory) Phase VI blade. For detailed data, the numerical analysis has been performed for wind speeds of 7, 10, 15, 20, and 25 m/s. Also, the comparison analysis of results of a baseline and modified blades has been performed.

Suggested Citation

  • Lee, Sung Gun & Park, Sang Jun & Lee, Kyung Seo & Chung, Chinwha, 2012. "Performance prediction of NREL (National Renewable Energy Laboratory) Phase VI blade adopting blunt trailing edge airfoil," Energy, Elsevier, vol. 47(1), pages 47-61.
    • Handle: RePEc:eee:energy:v:47:y:2012:i:1:p:47-61
    DOI: 10.1016/j.energy.2012.08.007
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    Citations

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    Cited by:

    1. Kun, Wang & Fu, Chen & Jianyang, Yu & Yanping, Song, 2020. "Nested sparse-grid Stochastic Collocation Method for uncertainty quantification of blade stagger angle," Energy, Elsevier, vol. 201(C).
    2. Jianhua Xu & Zhonghua Han & Xiaochao Yan & Wenping Song, 2019. "Design Optimization of a Multi-Megawatt Wind Turbine Blade with the NPU-MWA Airfoil Family," Energies, MDPI, vol. 12(17), pages 1-24, August.
    3. Xinkai Li & Ke Yang & Hao Hu & Xiaodong Wang & Shun Kang, 2019. "Effect of Tailing-Edge Thickness on Aerodynamic Noise for Wind Turbine Airfoil," Energies, MDPI, vol. 12(2), pages 1-25, January.
    4. Wang, Guofu & Zhang, Lei & Shen, Wen Zhong, 2018. "LES simulation and experimental validation of the unsteady aerodynamics of blunt wind turbine airfoils," Energy, Elsevier, vol. 158(C), pages 911-923.
    5. Wang, Xiaojing & Zou, Zhengping, 2019. "Uncertainty analysis of impact of geometric variations on turbine blade performance," Energy, Elsevier, vol. 176(C), pages 67-80.
    6. Shafiqur Rehman & Md. Mahbub Alam & Luai M. Alhems & M. Mujahid Rafique, 2018. "Horizontal Axis Wind Turbine Blade Design Methodologies for Efficiency Enhancement—A Review," Energies, MDPI, vol. 11(3), pages 1-34, February.
    7. Wang, Haipeng & Zhang, Bo & Qiu, Qinggang & Xu, Xiang, 2017. "Flow control on the NREL S809 wind turbine airfoil using vortex generators," Energy, Elsevier, vol. 118(C), pages 1210-1221.
    8. He-Yong Xu & Qing-Li Dong & Chen-Liang Qiao & Zheng-Yin Ye, 2018. "Flow Control over the Blunt Trailing Edge of Wind Turbine Airfoils Using Circulation Control," Energies, MDPI, vol. 11(3), pages 1-26, March.
    9. Rocha, P.A. Costa & Rocha, H.H. Barbosa & Carneiro, F.O. Moura & Vieira da Silva, M.E. & Bueno, A. Valente, 2014. "k–ω SST (shear stress transport) turbulence model calibration: A case study on a small scale horizontal axis wind turbine," Energy, Elsevier, vol. 65(C), pages 412-418.

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