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Passive Shunted Piezoelectric Systems for Vibration Control of Wind Turbine Towers: A Feasibility Study

Author

Listed:
  • Maria-Styliani Daraki

    (Department of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece)

  • Konstantinos Marakakis

    (Department of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece)

  • Panagiotis Alevras

    (Department of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece)

  • Georgia A. Foutsitzi

    (Department of Informatics & Telecommunications, University of Ioannina, 47100 Arta, Greece)

  • Georgios E. Stavroulakis

    (Department of Production Engineering and Management, Technical University of Crete, 73100 Chania, Greece)

Abstract

Many countries have a variety of offshore and onshore wind turbines that face extreme aging challenges. Issues with harmful vibrations that must be minimized are addressed in this paper. A new method of wind turbine tower vibration control using piezoelectricity and shunt circuits is proposed in this paper. The passive vibration control method is shown to improve the tower’s structural performance under various environmental loads, like wind and seismic excitations. To examine the effectiveness of the suggested shunted piezoelectric system, a simple surrogate finite element model of a wind turbine tower is considered, and various investigations at the second eigenfrequency are carried out. An alternative way of modeling the studied structure is considered and the results demonstrate better performance. The advantages of setting up structural damping systems for decreasing tower vibrational loads and boosting their structural stability and resilience against extreme events are highlighted throughout this work.

Suggested Citation

  • Maria-Styliani Daraki & Konstantinos Marakakis & Panagiotis Alevras & Georgia A. Foutsitzi & Georgios E. Stavroulakis, 2024. "Passive Shunted Piezoelectric Systems for Vibration Control of Wind Turbine Towers: A Feasibility Study," Energies, MDPI, vol. 17(10), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2420-:d:1397046
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    References listed on IDEAS

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    1. Georgios K. Tairidis & Georgios E. Stavroulakis, 2019. "Fuzzy and Neuro-fuzzy Control for Smart Structures," Springer Optimization and Its Applications, in: Maude Josée Blondin & Panos M. Pardalos & Javier Sanchis Sáez (ed.), Computational Intelligence and Optimization Methods for Control Engineering, chapter 0, pages 75-103, Springer.
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