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Review of Vibration Control Methods for Wind Turbines

Author

Listed:
  • Ali Awada

    (Wind Energy Research Laboratory (WERL), University of Québec at Rimouski, Rimouski, QC G5L 3A1, Canada)

  • Rafic Younes

    (Faculty of Engineering, Lebanese University, Beirut 6573/14, Lebanon)

  • Adrian Ilinca

    (Wind Energy Research Laboratory (WERL), University of Québec at Rimouski, Rimouski, QC G5L 3A1, Canada)

Abstract

The installation of wind energy increased in the last twenty years, as its cost decreased, and it contributes to reducing GHG emissions. A race toward gigantism characterizes wind turbine development, primarily driven by offshore projects. The larger wind turbines are facing higher loads, and the imperatives of mass reduction make them more flexible. Size increase of wind turbines results in higher structural vibrations that reduce the lifetime of the components (blades, main shaft, bearings, generator, gearbox, etc.) and might lead to failure or destruction. This paper aims to present in detail the problems associated with wind turbine vibration and a thorough literature review of the different mitigation solutions. We explore the advantages, drawbacks, and challenges of the existing vibration control systems for wind turbines. These systems belong to six main categories, according to the physical principles used and how they operate to mitigate the vibrations. This paper offers a multi-criteria analysis of a vast number of systems in different phases of development, going from full-scale testing to prototype stage, experiments, research, and ideas.

Suggested Citation

  • Ali Awada & Rafic Younes & Adrian Ilinca, 2021. "Review of Vibration Control Methods for Wind Turbines," Energies, MDPI, vol. 14(11), pages 1-35, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3058-:d:561560
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    References listed on IDEAS

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    1. Rahman, Mahmudur & Ong, Zhi Chao & Chong, Wen Tong & Julai, Sabariah & Khoo, Shin Yee, 2015. "Performance enhancement of wind turbine systems with vibration control: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 43-54.
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    4. Victor Maldonado, 2016. "Active Flow Control of Wind Turbine Blades," Chapters, in: Abdel Ghani Aissaoui & Ahmed Tahour (ed.), Wind Turbines - Design, Control and Applications, IntechOpen.
    5. Kundu, Parikshit & Sarkar, Arunjyoti & Nagarajan, Vishwanath, 2019. "Improvement of performance of S1210 hydrofoil with vortex generators and modified trailing edge," Renewable Energy, Elsevier, vol. 142(C), pages 643-657.
    6. Zhang, Lei & Li, Xingxing & Li, Shuang & Bai, Jingyan & Xu, Jin, 2019. "Unstable aerodynamic performance of a very thick wind turbine airfoil CAS-W1-450," Renewable Energy, Elsevier, vol. 132(C), pages 1112-1120.
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    Cited by:

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    4. Pustina, L. & Serafini, J. & Pasquali, C. & Solero, L. & Lidozzi, A. & Gennaretti, M., 2023. "A novel resonant controller for sea-induced rotor blade vibratory loads reduction on floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    5. Aboutalebi, Payam & Garrido, Aitor J. & Garrido, Izaskun & Nguyen, Dong Trong & Gao, Zhen, 2024. "Hydrostatic stability and hydrodynamics of a floating wind turbine platform integrated with oscillating water columns: A design study," Renewable Energy, Elsevier, vol. 221(C).
    6. Bonaventura Tagliafierro & Madjid Karimirad & Iván Martínez-Estévez & José M. Domínguez & Giacomo Viccione & Alejandro J. C. Crespo, 2022. "Numerical Assessment of a Tension-Leg Platform Wind Turbine in Intermediate Water Using the Smoothed Particle Hydrodynamics Method," Energies, MDPI, vol. 15(11), pages 1-23, May.
    7. Paweł Ligęza, 2021. "Basic, Advanced, and Sophisticated Approaches to the Current and Forecast Challenges of Wind Energy," Energies, MDPI, vol. 14(23), pages 1-10, December.
    8. Mahdi Erfanian Nakhchi & Shine Win Naung & Mohammad Rahmati, 2023. "Direct Numerical Simulations of Turbulent Flow over Low-Pressure Turbine Blades with Aeroelastic Vibrations and Inflow Wakes," Energies, MDPI, vol. 16(6), pages 1-21, March.
    9. López-Queija, Javier & Robles, Eider & Jugo, Josu & Alonso-Quesada, Santiago, 2022. "Review of control technologies for floating offshore wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    10. Hongmei Cui & Zhongyang Li & Bingchuan Sun & Teng Fan & Yonghao Li & Lida Luo & Yong Zhang & Jian Wang, 2022. "A New Ice Quality Prediction Method of Wind Turbine Impeller Based on the Deep Neural Network," Energies, MDPI, vol. 15(22), pages 1-18, November.

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