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Experimental and Fluid Structure Interaction analysis of a morphing wind turbine rotor

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  • MacPhee, David W.
  • Beyene, Asfaw

Abstract

Active control of blade pitch for wind turbines is known to increase efficiency, especially for part and over-load operation. An unfortunate consequence of this practice is added upfront and maintenance costs, making these schemes economically viable only in large scale applications. This study investigates a novel concept for wind turbine design, in which the blade is purposefully built of a flexible material which can passively adapt its geometry according to local wind conditions. This design concept therefore acts as a low cost, simplistic passive pitch control mechanism. Using a finite-volume fluid–structure interaction solver, the aeroelastic response of such a turbine is analyzed and compared to experimental data collected from wind tunnel tests as part of this project. The results indicate that the flexible rotor is markedly superior to a geometrically identical rigid one in terms of the size of its operational envelope as well as average and maximal torque production. Using post-processing tools, the performance improvements are attributed to passive deflection of the airfoil, which act to delay blade stall and drastically change surface pressure distribution to improve turbine performance.

Suggested Citation

  • MacPhee, David W. & Beyene, Asfaw, 2015. "Experimental and Fluid Structure Interaction analysis of a morphing wind turbine rotor," Energy, Elsevier, vol. 90(P1), pages 1055-1065.
  • Handle: RePEc:eee:energy:v:90:y:2015:i:p1:p:1055-1065
    DOI: 10.1016/j.energy.2015.08.016
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    References listed on IDEAS

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    1. Hoogedoorn, Eelco & Jacobs, Gustaaf B. & Beyene, Asfaw, 2010. "Aero-elastic behavior of a flexible blade for wind turbine application: A 2D computational study," Energy, Elsevier, vol. 35(2), pages 778-785.
    2. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
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    Citations

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    Cited by:

    1. Marzec, Łukasz & Buliński, Zbigniew & Krysiński, Tomasz, 2021. "Fluid structure interaction analysis of the operating Savonius wind turbine," Renewable Energy, Elsevier, vol. 164(C), pages 272-284.
    2. 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.
    3. Gilberto Santo & Mathijs Peeters & Wim Van Paepegem & Joris Degroote, 2020. "Fluid–Structure Interaction Simulations of a Wind Gust Impacting on the Blades of a Large Horizontal Axis Wind Turbine," Energies, MDPI, vol. 13(3), pages 1-20, January.
    4. MacPhee, David W. & Beyene, Asfaw, 2019. "Performance analysis of a small wind turbine equipped with flexible blades," Renewable Energy, Elsevier, vol. 132(C), pages 497-508.
    5. Wang, Yingjie & Wang, Mingjun & Jia, Kang & Tian, Wenxi & Qiu, Suizheng & Su, Guanghui, 2022. "Thermal fatigue analysis of structures subjected to liquid metal jets at different temperatures in the Gen-IV nuclear energy system," Energy, Elsevier, vol. 256(C).
    6. Yang, Yaru & Li, Hua & Yao, Jin & Gao, Wenxiang, 2019. "Research on the characteristic parameters and rotor layout principle of dual-rotor horizontal axis wind turbine," Energy, Elsevier, vol. 189(C).
    7. Zhuang, Chen & Yang, Gang & Zhu, Yawei & Hu, Dean, 2020. "Effect of morphed trailing-edge flap on aerodynamic load control for a wind turbine blade section," Renewable Energy, Elsevier, vol. 148(C), pages 964-974.
    8. Cognet, V. & Courrech du Pont, S. & Thiria, B., 2020. "Material optimization of flexible blades for wind turbines," Renewable Energy, Elsevier, vol. 160(C), pages 1373-1384.
    9. 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.
    10. Manfrida, Giampaolo & Talluri, Lorenzo, 2020. "Smart pro-active pitch adjustment for VAWT blades: Potential for performance improvement," Renewable Energy, Elsevier, vol. 152(C), pages 867-875.
    11. Wang, Longyan & Xu, Jian & Wang, Zilu & Zhang, Bowen & Luo, Zhaohui & Yuan, Jianping & Tan, Andy C.C., 2023. "A novel cost-efficient deep learning framework for static fluid–structure interaction analysis of hydrofoil in tidal turbine morphing blade," Renewable Energy, Elsevier, vol. 208(C), pages 367-384.

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    Keywords

    FSI; Morphing; Wind turbine; Flexible;
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