Overview of Resource and Turbine Modelling in the Tidal Stream Industry Energiser project: TIGER

Authors

  • Edward Mackay University of Exeter
  • Jon Hardwick
  • Philipp Thies

DOI:

https://doi.org/10.36688/ewtec-2023-577

Keywords:

2D shallow water model, 3D RANS model, LES model, Vortex Particle Method, Blade element momentum model

Abstract

Tidal energy projects require numerical modelling for the assessment of tidal site conditions and turbine/array performance. The Interreg TIGER project has offered a unique opportunity to implement a wide range of numerical models. This paper provides an overview and comparison of the different numerical models developed by academic partners in the TIGER project. The models cover a variety of spatial and temporal scales. The largest scale models provide long-term climatic studies covering the entire English Channel region, at relatively low resolution, whilst the highest-resolution models provide detailed information about short-term and small-scale turbulent flow and its interaction with tidal turbines. The models are used for various purposes. At one end of the scale, the models have been used to inform the large-scale techno-economic assessment of tidal energy and its impact on the energy mix in the UK and France. At the other end of the scale, the numerical models provide information that feeds into detailed engineering design of tidal turbines at particular sites, and assessment of the energy yield. The models showcase the range of computational tools available to aid the development of the tidal energy industry. This paper will be useful for investors, technology developers and project stakeholders to help identify suitable numerical models to support and develop ongoing and future tidal stream projects.

Published

2023-09-02

How to Cite

[1]
“Overview of Resource and Turbine Modelling in the Tidal Stream Industry Energiser project: TIGER”, Proc. EWTEC, vol. 15, Sep. 2023, doi: 10.36688/ewtec-2023-577.

Similar Articles

1-10 of 214

You may also start an advanced similarity search for this article.