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Coupled Fluid-Structure Interaction Modelling of Loads Variation and Fatigue Life of a Full-Scale Tidal Turbine under the Effect of Velocity Profile

Author

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  • Mujahid Badshah

    (Department of Mechanical Engineering, International Islamic University, Islamabad 44000, Pakistan)

  • Saeed Badshah

    (Department of Mechanical Engineering, International Islamic University, Islamabad 44000, Pakistan)

  • James VanZwieten

    (Department of Civil, Environmental and Geomatics Engineering, Florida Atlantic University, Boca Raton, FL 33431, USA)

  • Sakhi Jan

    (Department of Mechanical Engineering, International Islamic University, Islamabad 44000, Pakistan)

  • Muhammad Amir

    (Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan)

  • Suheel Abdullah Malik

    (Department of Electrical Engineering, International Islamic University, Islamabad 44000, Pakistan)

Abstract

Velocity profiles in tidal channels cause cyclic oscillations in hydrodynamic loads due to the dependence of relative velocity on angular position, which can lead to fatigue damage. Therefore, the effect of velocity profile on the load variation and fatigue life of large-scale tidal turbines is quantified here. This is accomplished using Fluid Structure Interaction (FSI) simulations created using the ANSYS Workbench software, which couples the fluid solver ANSYS CFX to the structural solver ANSYS transient structural. While these load oscillations only minimally impact power and thrust fluctuation for rotors, they can significantly impact the load variations on individual rotor blades. To evaluate these loadings, a tidal turbine within a channel with a representative flow that follows a 1/7th power velocity profile and an onset turbulence intensity of 5% is simulated. This velocity profile increases the thrust coefficient variation from mean cycle value of an individual blade from 2.8% to 9% and the variation in flap wise bending moment coefficient is increased from 4.9% to 19%. Similarly, the variation from the mean cycle value for blade deformation and stress of 2.5% and 2.8% increased to 9.8% and 10.3%, respectively. Due to the effect of velocity profile, the mean stress is decreased, whereas, the range and variation of stress are considerably increased.

Suggested Citation

  • Mujahid Badshah & Saeed Badshah & James VanZwieten & Sakhi Jan & Muhammad Amir & Suheel Abdullah Malik, 2019. "Coupled Fluid-Structure Interaction Modelling of Loads Variation and Fatigue Life of a Full-Scale Tidal Turbine under the Effect of Velocity Profile," Energies, MDPI, vol. 12(11), pages 1-22, June.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2217-:d:238812
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    Cited by:

    1. Liu, Xiaodong & Feng, Bo & Liu, Di & Wang, Yiming & Zhao, Haitao & Si, Yulin & Zhang, Dahai & Qian, Peng, 2022. "Study on two-rotor interaction of counter-rotating horizontal axis tidal turbine," Energy, Elsevier, vol. 241(C).
    2. Yuquan Zhang & Zhiqiang Liu & Chengyi Li & Xuemei Wang & Yuan Zheng & Zhi Zhang & Emmanuel Fernandez-Rodriguez & Rabea Jamil Mahfoud, 2022. "Fluid–Structure Interaction Modeling of Structural Loads and Fatigue Life Analysis of Tidal Stream Turbine," Mathematics, MDPI, vol. 10(19), pages 1-15, October.
    3. Magnier, Maëlys & Delette, Nina & Druault, Philippe & Gaurier, Benoît & Germain, Grégory, 2022. "Experimental study of the shear flow effect on tidal turbine blade loading variation," Renewable Energy, Elsevier, vol. 193(C), pages 744-757.
    4. Faizan, Muhammad & Badshah, Saeed & Badshah, Mujahid & Haider, Basharat Ali, 2022. "Performance and wake analysis of horizontal axis tidal current turbine using Improved Delayed Detached Eddy Simulation," Renewable Energy, Elsevier, vol. 184(C), pages 740-752.
    5. Xu, Jian & Wang, Longyan & Yuan, Jianping & Luo, Zhaohui & Wang, Zilu & Zhang, Bowen & Tan, Andy C.C., 2024. "DLFSI: A deep learning static fluid-structure interaction model for hydrodynamic-structural optimization of composite tidal turbine blade," Renewable Energy, Elsevier, vol. 224(C).
    6. Zia Ur Rehman & Saeed Badshah & Amer Farhan Rafique & Mujahid Badshah & Sakhi Jan & Muhammad Amjad, 2021. "Effect of a Support Tower on the Performance and Wake of a Tidal Current Turbine," Energies, MDPI, vol. 14(4), pages 1-13, February.
    7. Finnegan, William & Fagan, Edward & Flanagan, Tomas & Doyle, Adrian & Goggins, Jamie, 2020. "Operational fatigue loading on tidal turbine blades using computational fluid dynamics," Renewable Energy, Elsevier, vol. 152(C), pages 430-440.

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