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Fluid Structure Interaction Modelling of Tidal Turbine Performance and Structural Loads in a Velocity Shear Environment

Author

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  • Mujahid Badshah

    (Department of Mechanical Engineering, International Islamic University, Sector H-10, Islamabad Capital Territory 44000, Pakistan)

  • Saeed Badshah

    (Department of Mechanical Engineering, International Islamic University, Sector H-10, Islamabad Capital Territory 44000, Pakistan)

  • Kushsairy Kadir

    (Electric Engineering Section, UniKL British Malaysian Institute, Gombak 53100, Malaysia)

Abstract

Tidal Current Turbine (TCT) blades are highly flexible and undergo considerable deflection due to fluid interactions. Unlike Computational Fluid Dynamic (CFD) models Fluid Structure Interaction (FSI) models are able to model this hydroelastic behavior. In this work a coupled modular FSI approach was adopted to develop an FSI model for the performance evaluation and structural load characterization of a TCT under uniform and profiled flow. Results indicate that for a uniform flow case the FSI model predicted the turbine power coefficient C P with an error of 4.8% when compared with experimental data. For the rigid blade Reynolds Averaged Navier Stokes (RANS) CFD model this error was 9.8%. The turbine blades were subjected to uniform stress and deformation during the rotation of the turbine in a uniform flow. However, for a profiled flow the stress and deformation at the turbine blades varied with the angular position of turbine blade, resulting in a 22.1% variation in stress during a rotation cycle. This variation in stress is quite significant and can have serious implications for the fatigue life of turbine blades.

Suggested Citation

  • Mujahid Badshah & Saeed Badshah & Kushsairy Kadir, 2018. "Fluid Structure Interaction Modelling of Tidal Turbine Performance and Structural Loads in a Velocity Shear Environment," Energies, MDPI, vol. 11(7), pages 1-13, July.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1837-:d:157716
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Xu, Jian & Wang, Longyan & Luo, Zhaohui & Wang, Zilu & Zhang, Bowen & Yuan, Jianping & Tan, Andy C.C., 2024. "Deep learning enhanced fluid-structure interaction analysis for composite tidal turbine blades," Energy, Elsevier, vol. 296(C).
    3. 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.
    4. 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.
    5. 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.
    6. 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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