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Assessment of Dependency of Unsteady Onset Flow and Resultant Tidal Turbine Fatigue Loads on Measurement Position at a Tidal Site

Author

Listed:
  • Hannah Mullings

    (School of Engineering, The University of Manchester, Manchester M13 9PL, UK
    These authors contributed equally to this work.)

  • Tim Stallard

    (School of Engineering, The University of Manchester, Manchester M13 9PL, UK
    These authors contributed equally to this work.)

Abstract

This work determines the variation in the fatigue loading on a tidal turbine at two depth positions and two different locations within a site. Site data were obtained at the European Marine Energy Centre, EMEC, test facility in Scotland, which has been compiled at the University of Edinburgh. The turbine modelled is the 18m Diameter DEEP-gen 1MW horizontal axis turbine. A blade element method is combined with a synthetic turbulence inflow to determine forces along the blade over a period of five tidal cycles. The focus is on establishing the difference between the loads at one tidal site, with an emphasis on the variety of turbulent conditions, with the onset flow fluctuations as great as 17% and the average integral lengthscales varying from 11 to 14 m at hub height. Fatigue loading is assessed using damage equivalent loads, with a 30% variation between turbine positions and 32% between turbine locations within a site, for one design case. When long term loading is assessed, a 41% difference is found for aggregated loads for a near surface turbine and a 28% difference for a near bed turbine.

Suggested Citation

  • Hannah Mullings & Tim Stallard, 2021. "Assessment of Dependency of Unsteady Onset Flow and Resultant Tidal Turbine Fatigue Loads on Measurement Position at a Tidal Site," Energies, MDPI, vol. 14(17), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5470-:d:627683
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    References listed on IDEAS

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    1. Ahmed, U. & Apsley, D.D. & Afgan, I. & Stallard, T. & Stansby, P.K., 2017. "Fluctuating loads on a tidal turbine due to velocity shear and turbulence: Comparison of CFD with field data," Renewable Energy, Elsevier, vol. 112(C), pages 235-246.
    2. Brian G. Sellar & Gareth Wakelam & Duncan R. J. Sutherland & David M. Ingram & Vengatesan Venugopal, 2018. "Characterisation of Tidal Flows at the European Marine Energy Centre in the Absence of Ocean Waves," Energies, MDPI, vol. 11(1), pages 1-23, January.
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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. Hannah Mullings & Samuel Draycott & Jérôme Thiébot & Sylvain Guillou & Philippe Mercier & Jon Hardwick & Ed Mackay & Philipp Thies & Tim Stallard, 2023. "Evaluation of Model Predictions of the Unsteady Tidal Stream Resource and Turbine Fatigue Loads Relative to Multi-Point Flow Measurements at Raz Blanchard," Energies, MDPI, vol. 16(20), pages 1-30, October.
    3. Razi, P. & Ramaprabhu, P. & Tarey, P. & Muglia, M. & Vermillion, C., 2022. "A low-order wake interaction modeling framework for the performance of ocean current turbines under turbulent conditions," Renewable Energy, Elsevier, vol. 200(C), pages 1602-1617.
    4. Sylvain S. Guillou & Eric Bibeau, 2023. "Tidal Turbines," Energies, MDPI, vol. 16(7), pages 1-5, April.
    5. Perez, Larissa & Cossu, Remo & Grinham, Alistair & Penesis, Irene, 2022. "An investigation of tidal turbine performance and loads under various turbulence conditions using Blade Element Momentum theory and high-frequency field data acquired in two prospective tidal energy s," Renewable Energy, Elsevier, vol. 201(P1), pages 928-937.

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