IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v116y2018ipap749-754.html
   My bibliography  Save this article

Pre-aligned downwind rotor for a 13.2 MW wind turbine

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148117309801
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2017.10.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Newman, A. Jensen & Cal, Raúl Bayoán & Castillo, Luciano, 2015. "Blade number effects in a scaled down wind farm," Renewable Energy, Elsevier, vol. 81(C), pages 472-481.
    2. Qin, Chao & Innes-Wimsatt, Elijah & Loth, Eric, 2016. "Hydraulic-electric hybrid wind turbines: Tower mass saving and energy storage capacity," Renewable Energy, Elsevier, vol. 99(C), pages 69-79.
    3. Zhang, Mingming & Yang, Honglei & Xu, Jianzhong, 2017. "Numerical investigation of azimuth dependent smart rotor control on a large-scale offshore wind turbine," Renewable Energy, Elsevier, vol. 105(C), pages 248-256.
    4. Yu, Yang & Li, Hong & Che, Yuyuan & Zheng, Qiongjie, 2017. "The price evolution of wind turbines in China: A study based on the modified multi-factor learning curve," Renewable Energy, Elsevier, vol. 103(C), pages 522-536.
    5. Zhang, Mingming & Tan, Bin & Xu, Jianzhong, 2016. "Smart fatigue load control on the large-scale wind turbine blades using different sensing signals," Renewable Energy, Elsevier, vol. 87(P1), pages 111-119.
    6. Esteban, Miguel & Leary, David, 2012. "Current developments and future prospects of offshore wind and ocean energy," Applied Energy, Elsevier, vol. 90(1), pages 128-136.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. Kaminski, Meghan & Simpson, Juliet & Loth, Eric & Fingersh, Lee Jay & Scholbrock, Andy & Johnson, Nick & Johnson, Kathryn & Pao, Lucy & Griffith, Todd, 2023. "Gravo-aeroelastically-scaled demonstrator field tests to represent blade response of a flexible extreme-scale downwind turbine," Renewable Energy, Elsevier, vol. 218(C).
    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.
    11. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Xuefei & Zeng, Xiangwu & Li, Xinyao & Li, Jiale, 2019. "Investigation on offshore wind turbine with an innovative hybrid monopile foundation: An experimental based study," Renewable Energy, Elsevier, vol. 132(C), pages 129-141.
    2. Li, Qing'an & Cai, Chang & Kamada, Yasunari & Maeda, Takao & Hiromori, Yuto & Zhou, Shuni & Xu, Jianzhong, 2021. "Prediction of power generation of two 30 kW Horizontal Axis Wind Turbines with Gaussian model," Energy, Elsevier, vol. 231(C).
    3. Li, Qingan & Cai, Chang & Maeda, Takao & Kamada, Yasunari & Shimizu, Kento & Dong, Yehong & Zhang, Fanghong & Xu, Jianzhong, 2021. "Visualization of aerodynamic forces and flow field on a straight-bladed vertical axis wind turbine by wind tunnel experiments and panel method," Energy, Elsevier, vol. 225(C).
    4. 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).
    5. Zhang, Mingming & Li, Xin & Tong, Jingxin & Xu, Jianzhong, 2020. "Load control of floating wind turbine on a Tension-Leg-Platform subject to extreme wind condition," Renewable Energy, Elsevier, vol. 151(C), pages 993-1007.
    6. Li, Jiale & Wang, Xuefei & Guo, Yuan & Yu, Xiong Bill, 2020. "The loading behavior of innovative monopile foundations for offshore wind turbine based on centrifuge experiments," Renewable Energy, Elsevier, vol. 152(C), pages 1109-1120.
    7. Tu, Qiang & Betz, Regina & Mo, Jianlei & Fan, Ying & Liu, Yu, 2019. "Achieving grid parity of wind power in China – Present levelized cost of electricity and future evolution," Applied Energy, Elsevier, vol. 250(C), pages 1053-1064.
    8. Zhang, Mingming & Li, Xin & Xu, Jianzhong, 2019. "Smart control of fatigue loads on a floating wind turbine with a tension-leg-platform," Renewable Energy, Elsevier, vol. 134(C), pages 745-756.
    9. Qin, Chao & Saunders, Gordon & Loth, Eric, 2017. "Offshore wind energy storage concept for cost-of-rated-power savings," Applied Energy, Elsevier, vol. 201(C), pages 148-157.
    10. Li, Hui & Wang, LiGuo, 2023. "Numerical study on self-power supply of large marine monitoring buoys: Wave-excited vibration energy harvesting and harvester optimization," Energy, Elsevier, vol. 285(C).
    11. Hammar, Linus & Ehnberg, Jimmy & Mavume, Alberto & Cuamba, Boaventura C. & Molander, Sverker, 2012. "Renewable ocean energy in the Western Indian Ocean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4938-4950.
    12. Chen, Weixing & Zhou, Boen & Huang, Hao & Lu, Yunfei & Li, Shaoxun & Gao, Feng, 2022. "Design, modeling and performance analysis of a deployable WEC for ocean robots," Applied Energy, Elsevier, vol. 327(C).
    13. Wang, Guohui & Yang, Yanan & Wang, Shuxin & Zhang, Hongwei & Wang, Yanhui, 2019. "Efficiency analysis and experimental validation of the ocean thermal energy conversion with phase change material for underwater vehicle," Applied Energy, Elsevier, vol. 248(C), pages 475-488.
    14. Samadi, Sascha, 2018. "The experience curve theory and its application in the field of electricity generation technologies – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2346-2364.
    15. Chenglong Guo & Wanan Sheng & Dakshina G. De Silva & George Aggidis, 2023. "A Review of the Levelized Cost of Wave Energy Based on a Techno-Economic Model," Energies, MDPI, vol. 16(5), pages 1-30, February.
    16. Arias-Gaviria, Jessica & Osorio, Andres F. & Arango-Aramburo, Santiago, 2020. "Estimating the practical potential for deep ocean water extraction in the Caribbean," Renewable Energy, Elsevier, vol. 150(C), pages 307-319.
    17. Alain Ulazia & Ander Nafarrate & Gabriel Ibarra-Berastegi & Jon Sáenz & Sheila Carreno-Madinabeitia, 2019. "The Consequences of Air Density Variations over Northeastern Scotland for Offshore Wind Energy Potential," Energies, MDPI, vol. 12(13), pages 1-18, July.
    18. Seixas, M. & Melício, R. & Mendes, V.M.F. & Couto, C., 2016. "Blade pitch control malfunction simulation in a wind energy conversion system with MPC five-level converter," Renewable Energy, Elsevier, vol. 89(C), pages 339-350.
    19. Castro-Santos, Laura & Martins, Elson & Guedes Soares, C., 2017. "Economic comparison of technological alternatives to harness offshore wind and wave energies," Energy, Elsevier, vol. 140(P1), pages 1121-1130.
    20. Zeyringer, Marianne & Fais, Birgit & Keppo, Ilkka & Price, James, 2018. "The potential of marine energy technologies in the UK – Evaluation from a systems perspective," Renewable Energy, Elsevier, vol. 115(C), pages 1281-1293.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:116:y:2018:i:pa:p:749-754. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.