Investigating the effect of the sediment transport on tidal turbine array performance

C. Zhang, A. Angeloudis, S. C. Kramer, J. S. Zhang, M. D. Piggott

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A two-dimensional hydrodynamic model is coupled with a suspended and bedload sediment transport model within the Thetis coastal ocean modelling framework. In investigating the effect of sediment transport on turbine array performance, we consider two artificial scenarios of 16 turbines deployed in aligned and staggered layouts to explore the impact of morphodynamics on power conversion. An optimisation algorithm is then applied to improve the position of turbines to maximize power output. Comparing this optimisation for a case with and without sediment transport we study the effect of morphodynamics on optimal layouts. The results show that sediment transport can significantly influence the performance of the aligned layout turbine array. As for the layout optimisation process, the inclusion of sediment transport makes little difference to the final results, while the computational cost becomes substantial when including the sediment model within the optimisation, even for a steady state case.

Original languageEnglish
Title of host publicationTrends in Renewable Energies Offshore
Subtitle of host publicationProceedings of the 5th International Conference on Renewable Energies Offshore (RENEW 2022, Lisbon, Portugal, 8–10 November 2022)
EditorsC. Guedes Soares
PublisherCRC Press
Pages189-196
Number of pages8
Edition1
ISBN (Print)9781032420035
DOIs
Publication statusPublished - 2 Nov 2022
Event5th International Conference on Renewable Energies Offshore, RENEW 2022 - Lisbon, Portugal
Duration: 8 Nov 202210 Nov 2022

Conference

Conference5th International Conference on Renewable Energies Offshore, RENEW 2022
Country/TerritoryPortugal
CityLisbon
Period8/11/2210/11/22

Fingerprint

Dive into the research topics of 'Investigating the effect of the sediment transport on tidal turbine array performance'. Together they form a unique fingerprint.

Cite this