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Pre-aligned downwind rotor for a 13.2 MW wind turbine

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  • Noyes, Carlos
  • Qin, Chao
  • Loth, Eric

Abstract

While there is continued demand for larger wind turbines with cheaper cost of energy, conventional upwind blade design may be reaching a size limit stemming from blade failure at extreme wind conditions. For turbines rated above 10 MW, decreasing the structural loads to more manageable levels may be achieved by better aligning the forces along the rotor blade to reduce ultimate bending moments and fatigue loadings. To achieve such moment reduction, a downwind configuration with a coning angle prescribed to allow load alignment for critical conditions could be used. Such a configuration also increases the rated clearance distance between the rotor and the tower since wind loads push the blades further from the tower. This concept is explored herein for a 13.2 MW rated downwind design compared to a conventional upwind three-bladed rotor design that uses the Sandia SNL100-02 blades. The simulation results show in Class IIB winds that the two-bladed downwind pre-aligned rotor with 15° coning, decreases the blade damage equivalent loads by 19.0%, and decreases rotor blade mass by 27.4%, compared with the unmodified conventional upwind three-bladed rotor. However, further design optimization is needed to ensure annual energy production is preserved with this concept.

Suggested Citation

  • Noyes, Carlos & Qin, Chao & Loth, Eric, 2018. "Pre-aligned downwind rotor for a 13.2 MW wind turbine," Renewable Energy, Elsevier, vol. 116(PA), pages 749-754.
  • Handle: RePEc:eee:renene:v:116:y:2018:i:pa:p:749-754
    DOI: 10.1016/j.renene.2017.10.019
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    References listed on IDEAS

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    1. Meng, Haoran & Ma, Zhe & Dou, Bingzheng & Zeng, Pan & Lei, Liping, 2020. "Investigation on the performance of a novel forward-folding rotor used in a downwind horizontal-axis turbine," Energy, Elsevier, vol. 190(C).
    2. Haojie Kang & Bofeng Xu & Xiang Shen & Zhen Li & Xin Cai & Zhiqiang Hu, 2023. "Comparison of Blade Aeroelastic Responses between Upwind and Downwind of 10 MW Wind Turbines under the Shear Wind Condition," Energies, MDPI, vol. 16(6), pages 1-13, March.
    3. Momeni, Farhang & Sabzpoushan, Seyedali & Valizadeh, Reza & Morad, Mohammad Reza & Liu, Xun & Ni, Jun, 2019. "Plant leaf-mimetic smart wind turbine blades by 4D printing," Renewable Energy, Elsevier, vol. 130(C), pages 329-351.
    4. Palanisamy Mohan Kumar & Krishnamoorthi Sivalingam & Teik-Cheng Lim & Seeram Ramakrishna & He Wei, 2019. "Strategies for Enhancing the Low Wind Speed Performance of H-Darrieus Wind Turbine—Part 1," Clean Technol., MDPI, vol. 1(1), pages 1-20, August.
    5. Noyes, Carlos & Loth, Eric & Martin, Dana & Johnson, Kathryn & Ananda, Gavin & Selig, Michael, 2020. "Extreme-scale load-aligning rotor: To hinge or not to hinge?," Applied Energy, Elsevier, vol. 257(C).
    6. Kaminski, Meghan & Loth, Eric & Griffith, D. Todd & Qin, Chao (Chris), 2020. "Ground testing of a 1% gravo-aeroelastically scaled additively-manufactured wind turbine blade with bio-inspired structural design," Renewable Energy, Elsevier, vol. 148(C), pages 639-650.
    7. Zhen Li & Bofeng Xu & Xiang Shen & Hang Xiao & Zhiqiang Hu & Xin Cai, 2022. "Performance Analysis of Ultra-Scale Downwind Wind Turbine Based on Rotor Cone Angle Control," Energies, MDPI, vol. 15(18), pages 1-11, September.
    8. Ju, Shen-Haw & Huang, Yu-Cheng & Huang, Yin-Yu, 2020. "Study of optimal large-scale offshore wind turbines," Renewable Energy, Elsevier, vol. 154(C), pages 161-174.
    9. Qin, Chao (Chris) & Loth, Eric & Zalkind, Daniel S. & Pao, Lucy Y. & Yao, Shulong & Griffith, D. Todd & Selig, Michael S. & Damiani, Rick, 2020. "Downwind coning concept rotor for a 25 MW offshore wind turbine," Renewable Energy, Elsevier, vol. 156(C), pages 314-327.
    10. Yao, Shulong & Griffith, D. Todd & Chetan, Mayank & Bay, Christopher J. & Damiani, Rick & Kaminski, Meghan & Loth, Eric, 2020. "A gravo-aeroelastically scaled wind turbine rotor at field-prototype scale with strict structural requirements," Renewable Energy, Elsevier, vol. 156(C), pages 535-547.

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