Conference item
Prediction of tidal currents in the Inner Sound of the Pentland Firth using RTide
- Abstract:
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The design and operation of tidal stream energy farms will require the accurate prediction of tidal currents from field data. In the present paper we compare the performance of a physics based flow model, the traditional harmonic analysis method, and a newly developed code RTide. RTide is based on the Response Method proposed by Munk and Cartwright in the 1960s and uses machine learning to overcome the key disadvantages of their original approach. We use field data from the Meygen site in the Inner Sound of the Pentland Firth. We find RTide predictions based solely on the field data outperform both the flow model predictions and the currents predicted by harmonic analysis. Interestingly, feeding the physics-based flow model into RTide as an additional input does not outperform the predictions based on the field data alone. However, RTide can still be used as a correction tool to physics-based flow models.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 2.0MB, Terms of use)
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- Publisher copy:
- 10.36688/ewtec-2025-838
Authors
- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/X03903X/1
- Host title:
- Proceedings of the European Wave and Tidal Energy Conference 2025
- Volume:
- 16
- Publication date:
- 2025-09-08
- Acceptance date:
- 2025-05-13
- Event title:
- 16th European Wave and Tidal Energy Conference (EWTEC 2025)
- Event location:
- Madeira, Portugal
- Event website:
- https://ewtec.org/ewtec-2025/
- Event start date:
- 2025-09-07
- Event end date:
- 2025-09-11
- DOI:
- Language:
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English
- Keywords:
- Pubs id:
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2123566
- Local pid:
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pubs:2123566
- Deposit date:
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2025-05-13
- ARK identifier:
Terms of use
- Copyright holder:
- European Wave and Tidal Energy Conference
- Copyright date:
- 2025
- Rights statement:
- Copyright © 2025 European Wave and Tidal Energy Conference
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
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