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Numerical modelling of hydrodynamics and tidal energy extraction in the Alderney Race: a review

  • Jerome Thiebot
  • , Daniel Coles
  • , Anne-Claire Bennis
  • , Nicolas Guillou
  • , Simon Neill
  • , Sylvain Guillou
  • , Matthew Piggott
  • Southampton University
  • Laboratoire de Génie Côtier et Environnement (LGCE), Plouzané
  • Imperial College London
  • UNICAEN

Research output: Contribution to journalArticlepeer-review

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Abstract

The tides are a predictable, renewable, source of energy that if harnessed, can provide significant levels of electricity generation. Alderney Race, with current speeds that exceed 5 m/s during spring tides, is one of the most concentrated regions of tidal energy in the world, with the upper bound resource estimated at
5.1 GW. Due to its significance, the Alderney Race is frequently used for model case studies of tidal energy conversion, and here we review these model applications and outcomes. We examine a range of temporal and spatial modelling scales, from regional models applied to resource assessment and
characterisation, to more detailed models that include energy extraction and array optimization. We also examine a range of physical processes that influence the tidal energy resource, including the role of waves and turbulence in tidal energy resource assessment and loadings on turbines. The review discusses
model validation, and covers a range of numerical modelling approaches, from two-dimensional to threedimensional tidal models, two-way coupled wave-tide models, Large Eddy Simulation (LES) models, and the application of optimization techniques. The review contains guidance on model approaches and sources of data that can be used for future studies of the Alderney Race, or translated to other tidal energy regions.
Original languageEnglish
Article number20190498
JournalPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Volume378
Issue number2178
Early online date27 Jul 2020
DOIs
Publication statusPublished - 21 Aug 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Alderney Race
  • Raz Blanchard
  • resource
  • tidal turbine

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