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Performance enhancement of wind turbine systems with vibration control: A review

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  • Rahman, Mahmudur
  • Ong, Zhi Chao
  • Chong, Wen Tong
  • Julai, Sabariah
  • Khoo, Shin Yee

Abstract

Renewable energy becomes an asset to the world׳s energy resource for its eco-friendly and low cost energy production feature. As an important renewable energy source, wind turbine technology has become a significant contributor to the world energy production because of its feasible production cost, reliability and efficiency. Researchers are very active to optimize the effectiveness of wind turbines which may lead to increase the productivity of this source of energy. Vibration in the wind turbine system affects the productivity and thus reduces efficiency. Vibration of a system cannot be destroyed but can be reduced or converted to energy using appropriate strategies. Vibration control system improves structural response of wind turbines and reliability which has impact on lifetime of the components. Lowering the vibration amplitude of a system will provide a lesser amount of noise, assure user and operating comport, maintain the high performance and production efficiency. These will assist the system to prolong the lifetime of an industrial structure or machinery. Also vibration control enhances the performance of wind turbines providing suitable work environment without external disturbance. This paper presents an ample review on performance enhancement of the wind turbines by vibration mitigation. The aim of this review is to provide a concise point for researchers to assess the current trend to control vibration of wind turbines technology. This paper will focus on main vibration control techniques of wind turbine structures. It provides the applications of passive, active and semi-active and vibration control strategies for structures, especially for wind turbines. Besides, this paper reviews on damping devices needed for vibration mitigation of structures. These damping devices have been implemented extensively in wind turbines for increasing their efficiency by mitigating vibration. This paper also reviews and assesses the performance of different control policies to control the system input and power input of damping devices.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:51:y:2015:i:c:p:43-54
    DOI: 10.1016/j.rser.2015.05.078
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    1. Eriksson, Sandra & Bernhoff, Hans & Leijon, Mats, 2008. "Evaluation of different turbine concepts for wind power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1419-1434, June.
    2. Lignarolo, L.E.M. & Ragni, D. & Krishnaswami, C. & Chen, Q. & Simão Ferreira, C.J. & van Bussel, G.J.W., 2014. "Experimental analysis of the wake of a horizontal-axis wind-turbine model," Renewable Energy, Elsevier, vol. 70(C), pages 31-46.
    3. 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.
    4. Bellekom, Sandra & Benders, René & Pelgröm, Steef & Moll, Henk, 2012. "Electric cars and wind energy: Two problems, one solution? A study to combine wind energy and electric cars in 2020 in The Netherlands," Energy, Elsevier, vol. 45(1), pages 859-866.
    5. Bekele, Getachew & Tadesse, Getnet, 2012. "Feasibility study of small Hydro/PV/Wind hybrid system for off-grid rural electrification in Ethiopia," Applied Energy, Elsevier, vol. 97(C), pages 5-15.
    6. Pope, K. & Dincer, I. & Naterer, G.F., 2010. "Energy and exergy efficiency comparison of horizontal and vertical axis wind turbines," Renewable Energy, Elsevier, vol. 35(9), pages 2102-2113.
    7. Chong, W.T. & Fazlizan, A. & Poh, S.C. & Pan, K.C. & Hew, W.P. & Hsiao, F.B., 2013. "The design, simulation and testing of an urban vertical axis wind turbine with the omni-direction-guide-vane," Applied Energy, Elsevier, vol. 112(C), pages 601-609.
    8. Lahimer, A.A. & Alghoul, M.A. & Yousif, Fadhil & Razykov, T.M. & Amin, N. & Sopian, K., 2013. "Research and development aspects on decentralized electrification options for rural household," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 314-324.
    9. Aslam Bhutta, Muhammad Mahmood & Hayat, Nasir & Farooq, Ahmed Uzair & Ali, Zain & Jamil, Sh. Rehan & Hussain, Zahid, 2012. "Vertical axis wind turbine – A review of various configurations and design techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 1926-1939.
    10. Borg, Michael & Shires, Andrew & Collu, Maurizio, 2014. "Offshore floating vertical axis wind turbines, dynamics modelling state of the art. part I: Aerodynamics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1214-1225.
    11. Leary, J. & While, A. & Howell, R., 2012. "Locally manufactured wind power technology for sustainable rural electrification," Energy Policy, Elsevier, vol. 43(C), pages 173-183.
    12. Goundar, Jai N. & Ahmed, M. Rafiuddin, 2013. "Design of a horizontal axis tidal current turbine," Applied Energy, Elsevier, vol. 111(C), pages 161-174.
    13. Ahmed, Noor A. & Cameron, Michael, 2014. "The challenges and possible solutions of horizontal axis wind turbines as a clean energy solution for the future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 439-460.
    14. Islam, M.R. & Mekhilef, S. & Saidur, R., 2013. "Progress and recent trends of wind energy technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 456-468.
    15. Fischer, Gunter Reinald & Kipouros, Timoleon & Savill, Anthony Mark, 2014. "Multi-objective optimisation of horizontal axis wind turbine structure and energy production using aerofoil and blade properties as design variables," Renewable Energy, Elsevier, vol. 62(C), pages 506-515.
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    3. Liu, W.Y., 2017. "A review on wind turbine noise mechanism and de-noising techniques," Renewable Energy, Elsevier, vol. 108(C), pages 311-320.
    4. Minhui Tong & Weidong Zhu & Xiang Zhao & Meilin Yu & Kan Liu & Gang Li, 2020. "Free and Forced Vibration Analysis of H-type and Hybrid Vertical-Axis Wind Turbines," Energies, MDPI, vol. 13(24), pages 1-32, December.
    5. Zuo, Haoran & Bi, Kaiming & Hao, Hong, 2020. "A state-of-the-art review on the vibration mitigation of wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    6. Liu, Zhenqing & Wang, Yize & Nyangi, Patrice & Zhu, Zhiwen & Hua, Xugang, 2021. "Proposal of a novel GPU-accelerated lifetime optimization method for onshore wind turbine dampers under real wind distribution," Renewable Energy, Elsevier, vol. 168(C), pages 516-543.
    7. Ana Fernández-Guillamón & Guillermo Martínez-Lucas & Ángel Molina-García & Jose Ignacio Sarasua, 2020. "An Adaptive Control Scheme for Variable Speed Wind Turbines Providing Frequency Regulation in Isolated Power Systems with Thermal Generation," Energies, MDPI, vol. 13(13), pages 1-19, July.
    8. Zhao, Longfeng & Yang, Yajie & Bai, Xiao & Chen, Lin & Lu, An-Liang & Zhang, Xin & Chen, Wei-Qiang, 2023. "Structure, robustness and supply risk in the global wind turbine trade network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    9. Jijian Lian & Yue Zhao & Chong Lian & Haijun Wang & Xiaofeng Dong & Qi Jiang & Huan Zhou & Junni Jiang, 2018. "Application of an Eddy Current-Tuned Mass Damper to Vibration Mitigation of Offshore Wind Turbines," Energies, MDPI, vol. 11(12), pages 1-18, November.
    10. Pedro G. Lind & Luis Vera-Tudela & Matthias Wächter & Martin Kühn & Joachim Peinke, 2017. "Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach," Energies, MDPI, vol. 10(12), pages 1-14, November.
    11. 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.
    12. Pinheiro, E. & Bandeiras, F. & Gomes, M. & Coelho, P. & Fernandes, J., 2019. "Performance analysis of wind generators and PV systems in industrial small-scale applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 392-401.
    13. Georgios Malliotakis & Panagiotis Alevras & Charalampos Baniotopoulos, 2021. "Recent Advances in Vibration Control Methods for Wind Turbine Towers," Energies, MDPI, vol. 14(22), pages 1-37, November.

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