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Optimal angle of attack for untwisted blade wind turbine

Author

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  • Thumthae, Chalothorn
  • Chitsomboon, Tawit

Abstract

The numerical simulation of horizontal axis wind turbines (HAWTs) with untwisted blade was performed to determine the optimal angle of attack that produces the highest power output. The numerical solution was carried out by solving conservation equations in a rotating reference frame wherein the blades and grids were fixed in relation to the rotating frame. Computational results of the 12° pitch compare favorably with the field experimental data of The National Renewable Laboratory (USA), for both inviscid and turbulent conditions. Numerical experiments were then conducted by varying the pitch angles and the wind speeds. The power outputs reach maximum at pitch angles: 4.12°, 5.28°, 6.66° and 8.76° for the wind speeds 7.2, 8.0, 9.0 and 10.5m/s, respectively. The optimal angles of attack were then obtained from the data.

Suggested Citation

  • Thumthae, Chalothorn & Chitsomboon, Tawit, 2009. "Optimal angle of attack for untwisted blade wind turbine," Renewable Energy, Elsevier, vol. 34(5), pages 1279-1284.
  • Handle: RePEc:eee:renene:v:34:y:2009:i:5:p:1279-1284
    DOI: 10.1016/j.renene.2008.09.017
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    Citations

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    Cited by:

    1. Nazeryan, Mohammad & Lakzian, Esmail, 2018. "Detailed entropy generation analysis of a Wells turbine using the variation of the blade thickness," Energy, Elsevier, vol. 143(C), pages 385-405.
    2. Abutunis, A. & Taylor, G. & Fal, M. & Chandrashekhara, K., 2020. "Experimental evaluation of coaxial horizontal axis hydrokinetic composite turbine system," Renewable Energy, Elsevier, vol. 157(C), pages 232-245.
    3. Ting, Chen-Ching & Lai, Chen-Wei & Huang, Chien-Bang, 2011. "Developing the dual system of wind chiller integrated with wind generator," Applied Energy, Elsevier, vol. 88(3), pages 741-747, March.
    4. Chinmoy, Lakshmi & Iniyan, S. & Goic, Ranko, 2019. "Modeling wind power investments, policies and social benefits for deregulated electricity market – A review," Applied Energy, Elsevier, vol. 242(C), pages 364-377.
    5. Amiri, Mojtaba Maali & Shadman, Milad & Estefen, Segen F., 2020. "URANS simulations of a horizontal axis wind turbine under stall condition using Reynolds stress turbulence models," Energy, Elsevier, vol. 213(C).
    6. Ahmadi Asl, Hamid & Kamali Monfared, Reza & Rad, Manouchehr, 2017. "Experimental investigation of blade number and design effects for a ducted wind turbine," Renewable Energy, Elsevier, vol. 105(C), pages 334-343.
    7. Ansari, M. & Nobari, M.R.H. & Amani, E., 2019. "Determination of pitch angles and wind speeds ranges to improve wind turbine performance when using blade tip plates," Renewable Energy, Elsevier, vol. 140(C), pages 957-969.
    8. Abdulaziz Abutunis & Venkata Gireesh Menta, 2022. "Comprehensive Parametric Study of Blockage Effect on the Performance of Horizontal Axis Hydrokinetic Turbines," Energies, MDPI, vol. 15(7), pages 1-22, April.
    9. Zhang, Qiang & Bashir, Musa & Miao, Weipao & Liu, Qingsong & Li, Chun & Yue, Minnan & Wang, Peilin, 2023. "Aerodynamic analysis of a novel pitch control strategy and parameter combination for vertical axis wind turbines," Renewable Energy, Elsevier, vol. 216(C).
    10. Sinhara M. H. D. Perera & Ghanim Putrus & Michael Conlon & Mahinsasa Narayana & Keith Sunderland, 2022. "Wind Energy Harvesting and Conversion Systems: A Technical Review," Energies, MDPI, vol. 15(24), pages 1-34, December.
    11. 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.
    12. Miller, Aaron & Chang, Byungik & Issa, Roy & Chen, Gerald, 2013. "Review of computer-aided numerical simulation in wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 122-134.
    13. Erkan, Onur & Özkan, Musa & Karakoç, T. Hikmet & Garrett, Stephen J. & Thomas, Peter J., 2020. "Investigation of aerodynamic performance characteristics of a wind-turbine-blade profile using the finite-volume method," Renewable Energy, Elsevier, vol. 161(C), pages 1359-1367.
    14. Shen, Xin & Chen, Jin-Ge & Zhu, Xiao-Cheng & Liu, Peng-Yin & Du, Zhao-Hui, 2015. "Multi-objective optimization of wind turbine blades using lifting surface method," Energy, Elsevier, vol. 90(P1), pages 1111-1121.
    15. Bai, Chi-Jeng & Wang, Wei-Cheng, 2016. "Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines (HAWTs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 63(C), pages 506-519.

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