IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i20p7057-d1258183.html
   My bibliography  Save this article

Evaluation of Model Predictions of the Unsteady Tidal Stream Resource and Turbine Fatigue Loads Relative to Multi-Point Flow Measurements at Raz Blanchard

Author

Listed:
  • Hannah Mullings

    (School of Engineering, The University of Manchester, Manchester M13 9PL, UK)

  • Samuel Draycott

    (School of Engineering, The University of Manchester, Manchester M13 9PL, UK)

  • Jérôme Thiébot

    (Laboratoire Universitaire de Sciences Appliquées de Cherbourg (LUSAC), University of Caen Normandy (UNICAEN), 50130 Cherbourg en Cotentin, France)

  • Sylvain Guillou

    (Laboratoire Universitaire de Sciences Appliquées de Cherbourg (LUSAC), University of Caen Normandy (UNICAEN), 50130 Cherbourg en Cotentin, France)

  • Philippe Mercier

    (Laboratoire Universitaire de Sciences Appliquées de Cherbourg (LUSAC), University of Caen Normandy (UNICAEN), 50130 Cherbourg en Cotentin, France)

  • Jon Hardwick

    (Renewable Energy Group, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK)

  • Ed Mackay

    (Renewable Energy Group, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK)

  • Philipp Thies

    (Renewable Energy Group, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Penryn Campus, Penryn TR10 9FE, UK)

  • Tim Stallard

    (School of Engineering, The University of Manchester, Manchester M13 9PL, UK)

Abstract

The next stage of development of the tidal stream industry will see a focus on the deployment of tidal turbines in arrays of increasing device numbers and rated power. Successful array development requires a thorough understanding of the resource within potential deployment sites. This is predictable in terms of flow speeds, based upon tidal constituents. However, the operating environment for the turbine is more complex than the turbine experiencing a uniform flow, with turbulence, shear and wave conditions all affecting the loading on the turbine components. This study establishes the accuracy with which several alternative modelling tools predict the resource characteristics which define unsteady loading—velocity shear, turbulence and waves—and assesses the impact of the model choice on predicted damage equivalent loads. In addition, the predictions of turbulence are compared to a higher fidelity model and the occurrence of flow speeds to a Delft3D model for currents and waves. These models have been run for a specific tidal site, the Raz Blanchard, one of the major tidal stream sites in European waters. The measured resource and predicted loading are established using data collected in a recent deployment of acoustic Doppler current profilers (ADCPs) as part of the Interreg TIGER project. The conditions are measured at three locations across the site, with transverse spacing of 145.7 m and 59.3 m between each device. Turbine fatigue loading is assessed using measurements and model predictions based on an unsteady blade element momentum model applied to near-surface and near-bed deployment positions. As well as across-site spatial variation of loading, the through life loading over a 5-year period results in an 8% difference to measured loads for a near-surface turbine, using conditions purely defined from a resource model and to within 3% when using a combination of modelled shear with measured turbulence characteristics.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7057-:d:1258183
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/20/7057/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/20/7057/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thiébot, Jérôme & Bailly du Bois, Pascal & Guillou, Sylvain, 2015. "Numerical modeling of the effect of tidal stream turbines on the hydrodynamics and the sediment transport – Application to the Alderney Race (Raz Blanchard), France," Renewable Energy, Elsevier, vol. 75(C), pages 356-365.
    2. Togneri, Michael & Pinon, Grégory & Carlier, Clément & Choma Bex, Camille & Masters, Ian, 2020. "Comparison of synthetic turbulence approaches for blade element momentum theory prediction of tidal turbine performance and loads," Renewable Energy, Elsevier, vol. 145(C), pages 408-418.
    3. Jon Hardwick & Ed B. L. Mackay & Ian G. C. Ashton & Helen C. M. Smith & Philipp R. Thies, 2021. "Quantifying the Effects of Wave—Current Interactions on Tidal Energy Resource at Sites in the English Channel Using Coupled Numerical Simulations," Energies, MDPI, vol. 14(12), pages 1-17, June.
    4. Thiébot, Jérôme & Guillou, Nicolas & Guillou, Sylvain & Good, Andrew & Lewis, Michael, 2020. "Wake field study of tidal turbines under realistic flow conditions," Renewable Energy, Elsevier, vol. 151(C), pages 1196-1208.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christelle Auguste & Philip Marsh & Jean-Roch Nader & Remo Cossu & Irene Penesis, 2020. "Towards a Tidal Farm in Banks Strait, Tasmania: Influence of Tidal Array on Hydrodynamics," Energies, MDPI, vol. 13(20), pages 1-22, October.
    2. 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.
    3. Auguste, Christelle & Nader, Jean-Roch & Marsh, Philip & Penesis, Irene & Cossu, Remo, 2022. "Modelling the influence of Tidal Energy Converters on sediment dynamics in Banks Strait, Tasmania," Renewable Energy, Elsevier, vol. 188(C), pages 1105-1119.
    4. Yang, Zhixue & Ren, Zhouyang & Li, Hui & Pan, Zhen & Xia, Weiyi, 2024. "A review of tidal current power generation farm planning: Methodologies, characteristics and challenges," Renewable Energy, Elsevier, vol. 220(C).
    5. Zhang, Yidan & Shek, Jonathan K.H. & Mueller, Markus A., 2023. "Controller design for a tidal turbine array, considering both power and loads aspects," Renewable Energy, Elsevier, vol. 216(C).
    6. Myriam Slama & Camille Choma Bex & Grégory Pinon & Michael Togneri & Iestyn Evans, 2021. "Lagrangian Vortex Computations of a Four Tidal Turbine Array: An Example Based on the NEPTHYD Layout in the Alderney Race," Energies, MDPI, vol. 14(13), pages 1-23, June.
    7. Nash, S. & Phoenix, A., 2017. "A review of the current understanding of the hydro-environmental impacts of energy removal by tidal turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 648-662.
    8. 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.
    9. Lo Brutto, Ottavio A. & Nguyen, Van Thinh & Guillou, Sylvain S. & Thiébot, Jérôme & Gualous, Hamid, 2016. "Tidal farm analysis using an analytical model for the flow velocity prediction in the wake of a tidal turbine with small diameter to depth ratio," Renewable Energy, Elsevier, vol. 99(C), pages 347-359.
    10. Ladislas Mutunda Kangaji & Lagouge Tartibu & Pitshou N. Bokoro, 2023. "Modelling and Performance Analysis of a Tidal Current Turbine Connected to the Grid Using an Inductance (LCL) Filter," Energies, MDPI, vol. 16(16), pages 1-23, August.
    11. Jérôme Thiébot & Nasteho Djama Dirieh & Sylvain Guillou & Nicolas Guillou, 2021. "The Efficiency of a Fence of Tidal Turbines in the Alderney Race: Comparison between Analytical and Numerical Models," Energies, MDPI, vol. 14(4), pages 1-13, February.
    12. 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.
    13. Wang, Taiping & Yang, Zhaoqing, 2017. "A modeling study of tidal energy extraction and the associated impact on tidal circulation in a multi-inlet bay system of Puget Sound," Renewable Energy, Elsevier, vol. 114(PA), pages 204-214.
    14. Guillou, Nicolas & Thiébot, Jérôme & Chapalain, Georges, 2019. "Turbines’ effects on water renewal within a marine tidal stream energy site," Energy, Elsevier, vol. 189(C).
    15. González-Gorbeña, Eduardo & Pacheco, André & Plomaritis, Theocharis A. & Ferreira, Óscar & Sequeira, Cláudia, 2018. "Estimating the optimum size of a tidal array at a multi-inlet system considering environmental and performance constraints," Applied Energy, Elsevier, vol. 232(C), pages 292-311.
    16. Thiébaut, Maxime & Filipot, Jean-François & Maisondieu, Christophe & Damblans, Guillaume & Duarte, Rui & Droniou, Eloi & Chaplain, Nicolas & Guillou, Sylvain, 2020. "A comprehensive assessment of turbulence at a tidal-stream energy site influenced by wind-generated ocean waves," Energy, Elsevier, vol. 191(C).
    17. Wang, Longyan & Xu, Jian & Luo, Wei & Luo, Zhaohui & Xie, Junhang & Yuan, Jianping & Tan, Andy C.C., 2022. "A deep learning-based optimization framework of two-dimensional hydrofoils for tidal turbine rotor design," Energy, Elsevier, vol. 253(C).
    18. Thiébaut, Maxime & Sentchev, Alexei & du Bois, Pascal Bailly, 2019. "Merging velocity measurements and modeling to improve understanding of tidal stream resource in Alderney Race," Energy, Elsevier, vol. 178(C), pages 460-470.
    19. Gorle, J.M.R. & Chatellier, L. & Pons, F. & Ba, M., 2019. "Modulated circulation control around the blades of a vertical axis hydrokinetic turbine for flow control and improved performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 363-377.
    20. Cruz, M. & Henriques, R. & Pinho, J.L. & Avilez-Valente, P. & Bio, A. & Iglesias, I., 2023. "Assessment of the potential for hydrokinetic energy production in the Douro river estuary under sea level rise scenarios," Energy, Elsevier, vol. 271(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7057-:d:1258183. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.