IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v97y2016icp414-421.html
   My bibliography  Save this article

Design, analysis and test of a model turbine blade for a wave basin test of floating wind turbines

Author

Listed:
  • Du, Weikang
  • Zhao, Yongsheng
  • He, Yanping
  • Liu, Yadong

Abstract

Froude scaling is a generally reliable way to design models of floating wind turbines for wave basin testing. However, the resulting rotor thrust of the model is far lower than the Froude-scaled value of a full-size turbine, because the reduction in Reynolds number decreases the lift coefficients and increases the drag coefficients (the Reynolds number scaling effect). A 1/50th scale model wind turbine based on a NREL-5MW reference turbine is examined here. To mitigate the Reynolds number scaling effect in the model, the original aerofoils of the reference turbine (DU series and NACA 64-618) were replaced by an aerofoil at a low Reynolds number (NACA 4412). Such a model with aerofoil-adjusted blades was used in the mathematical optimization of rotor thrust. The design objective was to guarantee that while the rotor thrust of the model equalled the Froude-scaled rotor thrust of the reference, the smallest chord lengths were achieved, considering the weight control in building the model blade. The distribution of chord lengths fitted a fourth-order polynomial curve, and the distribution of twist angles along the blade fitted a second-order polynomial curve. The eight coefficients of the two curves were chosen as optimization variables, and pattern search method was used to solve the optimization model. The model blade was designed at zero pitch angle and further tested in FAST, a fully coupled simulation tool. A model test was conducted using the optimized blade geometry in the State Key Laboratory of Ocean Engineering in Shanghai, China, and the thrusts were compared with the predicted values.

Suggested Citation

  • Du, Weikang & Zhao, Yongsheng & He, Yanping & Liu, Yadong, 2016. "Design, analysis and test of a model turbine blade for a wave basin test of floating wind turbines," Renewable Energy, Elsevier, vol. 97(C), pages 414-421.
    • Handle: RePEc:eee:renene:v:97:y:2016:i:c:p:414-421
    DOI: 10.1016/j.renene.2016.06.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148116305201
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2016.06.008?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. Yongsheng Zhao & Jianmin Yang & Yanping He, 2012. "Preliminary Design of a Multi-Column TLP Foundation for a 5-MW Offshore Wind Turbine," Energies, MDPI, vol. 5(10), pages 1-18, October.
    2. Lanzafame, R. & Messina, M., 2007. "Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory," Renewable Energy, Elsevier, vol. 32(14), pages 2291-2305.
    3. Kim, Bumsuk & Kim, Woojune & Lee, Sanglae & Bae, Sungyoul & Lee, Youngho, 2013. "Developement and verification of a performance based optimal design software for wind turbine blades," Renewable Energy, Elsevier, vol. 54(C), pages 166-172.
    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. Daniel Duda & Václav Uruba & Vitalii Yanovych, 2021. "Wake Width: Discussion of Several Methods How to Estimate It by Using Measured Experimental Data," Energies, MDPI, vol. 14(15), pages 1-19, August.
    2. 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.
    3. Jiang, Yingying & Cheng, Zhengshun & Chen, Peng & Chai, Wei & Xiao, Longfei, 2023. "Performance-scaled rotor design method for model testing of floating vertical axis wind turbines in wave basins," Renewable Energy, Elsevier, vol. 219(P1).
    4. Ali M. H. A. Khajah & Simon P. Philbin, 2022. "Techno-Economic Analysis and Modelling of the Feasibility of Wind Energy in Kuwait," Clean Technol., MDPI, vol. 4(1), pages 1-21, January.
    5. 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).
    6. Yang, Can & Cheng, Zhengshun & Xiao, Longfei & Tian, Xinliang & Liu, Mingyue & Wen, Binrong, 2022. "A gradient-descent-based method for design of performance-scaled rotor for floating wind turbine model testing in wave basins," Renewable Energy, Elsevier, vol. 187(C), pages 144-155.
    7. 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.
    8. Wang, Xinbao & Cai, Chang & Wu, Xianyou & Chen, Yewen & Wang, Tengyuan & Zhong, Xiaohui & Li, Qing'an, 2024. "Numerical validation of the dynamic aerodynamic similarity criterion for floating offshore wind turbines under equivalent pitch motions," Energy, Elsevier, vol. 294(C).
    9. Wang, Xinbao & Cai, Chang & Cai, Shang-Gui & Wang, Tengyuan & Wang, Zekun & Song, Juanjuan & Rong, Xiaomin & Li, Qing'an, 2023. "A review of aerodynamic and wake characteristics of floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    10. Chen, Jianbing & Liu, Zenghui & Song, Yupeng & Peng, Yongbo & Li, Jie, 2022. "Experimental study on dynamic responses of a spar-type floating offshore wind turbine," Renewable Energy, Elsevier, vol. 196(C), pages 560-578.
    11. Daniel Duda & Vitalii Yanovych & Volodymyr Tsymbalyuk & Václav Uruba, 2022. "Effect of Manufacturing Inaccuracies on the Wake Past Asymmetric Airfoil by PIV," Energies, MDPI, vol. 15(3), pages 1-27, February.
    12. Wen, Binrong & Tian, Xinliang & Dong, Xingjian & Li, Zhanwei & Peng, Zhike & Zhang, Wenming & Wei, Kexiang, 2020. "Design approaches of performance-scaled rotor for wave basin model tests of floating wind turbines," Renewable Energy, Elsevier, vol. 148(C), pages 573-584.
    13. Wang, Xinbao & Cai, Chang & Chen, Yewen & Chen, Yuejuan & Liu, Junbo & Xiao, Yang & Zhong, Xiaohui & Shi, Kezhong & Li, Qing'an, 2023. "Numerical verification of the dynamic aerodynamic similarity criterion for wind tunnel experiments of floating offshore wind turbines," Energy, Elsevier, vol. 283(C).

    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. Li, B. & Zhou, D.L. & Wang, Y. & Shuai, Y. & Liu, Q.Z. & Cai, W.H., 2020. "The design of a small lab-scale wind turbine model with high performance similarity to its utility-scale prototype," Renewable Energy, Elsevier, vol. 149(C), pages 435-444.
    2. 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.
    3. Mauro, S. & Lanzafame, R. & Messina, M. & Brusca, S., 2023. "On the importance of the root-to-hub adapter effects on HAWT performance: A CFD-BEM numerical investigation," Energy, Elsevier, vol. 275(C).
    4. Ikeda, Teruaki & Tanaka, Hiroto & Yoshimura, Ryosuke & Noda, Ryusuke & Fujii, Takeo & Liu, Hao, 2018. "A robust biomimetic blade design for micro wind turbines," Renewable Energy, Elsevier, vol. 125(C), pages 155-165.
    5. Imraan, Mustahib & Sharma, Rajnish N. & Flay, Richard G.J., 2013. "Wind tunnel testing of a wind turbine with telescopic blades: The influence of blade extension," Energy, Elsevier, vol. 53(C), pages 22-32.
    6. 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.
    7. Yang, J.J. & He, E.M., 2020. "Coupled modeling and structural vibration control for floating offshore wind turbine," Renewable Energy, Elsevier, vol. 157(C), pages 678-694.
    8. Lanzafame, R. & Mauro, S. & Messina, M., 2013. "Wind turbine CFD modeling using a correlation-based transitional model," Renewable Energy, Elsevier, vol. 52(C), pages 31-39.
    9. Shukla, Vivek & Kaviti, Ajay Kumar, 2017. "Performance evaluation of profile modifications on straight-bladed vertical axis wind turbine by energy and Spalart Allmaras models," Energy, Elsevier, vol. 126(C), pages 766-795.
    10. Vaz, Jerson Rogério Pinheiro & Pinho, João Tavares & Mesquita, André Luiz Amarante, 2011. "An extension of BEM method applied to horizontal-axis wind turbine design," Renewable Energy, Elsevier, vol. 36(6), pages 1734-1740.
    11. Chen, Yanling & Yang, Wenxian & Wei, Kexiang & Qin, Bo, 2024. "Enhancing tidal current turbine efficiency through multi-biomimetic blade design features," Energy, Elsevier, vol. 293(C).
    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. Borg, Michael & Collu, Maurizio & Kolios, Athanasios, 2014. "Offshore floating vertical axis wind turbines, dynamics modelling state of the art. Part II: Mooring line and structural dynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1226-1234.
    14. Dallatu Abbas Umar & Chong Tak Yaw & Siaw Paw Koh & Sieh Kiong Tiong & Ammar Ahmed Alkahtani & Talal Yusaf, 2022. "Design and Optimization of a Small-Scale Horizontal Axis Wind Turbine Blade for Energy Harvesting at Low Wind Profile Areas," Energies, MDPI, vol. 15(9), pages 1-22, April.
    15. Xie, Wei & Zeng, Pan & Lei, Liping, 2015. "Wind tunnel experiments for innovative pitch regulated blade of horizontal axis wind turbine," Energy, Elsevier, vol. 91(C), pages 1070-1080.
    16. Syed Ahmed Kabir, Ijaz Fazil & Ng, E.Y.K., 2017. "Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for stall delay effect," Energy, Elsevier, vol. 120(C), pages 518-536.
    17. Xu, Jian & Wang, Longyan & Luo, Zhaohui & Wang, Zilu & Zhang, Bowen & Yuan, Jianping & Tan, Andy C.C., 2024. "Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades," Energy, Elsevier, vol. 296(C).
    18. Dai, J.C. & Hu, Y.P. & Liu, D.S. & Long, X., 2011. "Aerodynamic loads calculation and analysis for large scale wind turbine based on combining BEM modified theory with dynamic stall model," Renewable Energy, Elsevier, vol. 36(3), pages 1095-1104.
    19. Sang-Lae Lee & SangJoon Shin, 2020. "Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method," Energies, MDPI, vol. 13(7), pages 1-23, April.
    20. Dai, Juchuan & Li, Mimi & Chen, Huanguo & He, Tao & Zhang, Fan, 2022. "Progress and challenges on blade load research of large-scale wind turbines," Renewable Energy, Elsevier, vol. 196(C), pages 482-496.

    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:97:y:2016:i:c:p:414-421. 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.