Combining shallow-water and analytical wake models for tidal array micro-siting

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1007/s40722-022-00225-2. This is version 7 of this Preprint.

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Authors

Connor Jordan, Davor Dundovic, Anastasia Fragkou, Georgios Deskos, Daniel Coles, Matthew D Piggott, Athanasios Angeloudis

Abstract

For tidal-stream energy to become a competitive renewable energy source, clustering multiple turbines into arrays is paramount. As a result, array optimisation is critical for achieving maximum power performance and reducing cost of energy. However, ascertaining an optimal array layout is a highly complex problem, subject to specific site hydrodynamics and multiple inter-disciplinary constraints. In this work, we present a novel optimisation approach that combines an analytical-based wake model, FLORIS, with an ocean model, Thetis. The approach is demonstrated with applications of increasing complexity. By utilising the method of analytical wake superposition, the addition or alteration of turbine position does not require re-calculation of the entire flow field, thus allowing the use of simple heuristic techniques to perform optimisation at a fraction of the computational cost of more sophisticated methods. Using a custom condition-based placement algorithm, this methodology is applied to the Pentland Firth for arrays with turbines of 3.05 m/s rated speed, demonstrating practical implications whilst considering the temporal variability of the tide. For a 24 turbine array case, micro-siting using this technique delivered an array 15.8\% more productive on average than a staggered layout, despite flow speeds regularly exceeding the rated value. Performance was evaluated through assessment of the optimised layout within the ocean model that represents the turbines through a discrete turbine representation.
Used iteratively, this methodology could be applied to deliver improved array configurations in a manner that accounts for local hydrodynamic effects.

DOI

https://doi.org/10.31223/X53S55

Subjects

Civil and Environmental Engineering, Civil Engineering, Engineering, Hydraulic Engineering, Oceanography

Keywords

shallow water equations, Thetis, Array optimisation, Tidal turbines, \emph{FLORIS}, Shallow water equations, tidal stream energy, wake superposition, FLORIS

Dates

Published: 2021-07-30 09:13

Last Updated: 2022-03-24 22:45

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
Methods available upon request

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