Conference item
Tidal array spatial optimisation combining shallow water equations and wake superposition modelling
- Abstract:
- Tidal array optimisation is a multifaceted problem that aims at the improvement of an array design’s performance, including its overall power yield. Benefits include reductions in investment uncertainty, thus supporting the tidal stream energy industry to reach its potential. Considering the complex, high-energy tidal hydrodynamics at proposed sites, defining an optimal array layout is challenging and remains an active research area. Existing optimisation methodologies can be either computationally untenable or restrictively simplified for practical cases. We present an optimisation approach that combines an analytical-based wake model, FLORIS, with a coastal ocean hydrodynamics model, Thetis. The approach is first demonstrated through idealised steady and transient flow cases to highlight hydrodynamics structures that are overlooked, including spatial complexity, tidal asymmetry, and the practical exploitation of blockage effects.. We thus explore the use of analytical wake superposition in combination with the use of simple heuristic techniques to achieve turbine array optimisation at a fraction of the computational cost of alternative methods. Towards this objective, we designed a custom condition-based placement algorithm. The algorithm is applied to the Pentland Firth, including a case of 24 turbines that follow a power curve constrained by a rated speed of ~3.0 m/s. This case study serves to demonstrate device-specific implications whilst also considering the temporal variability of the tide. Overall, this turbine layout optimisation process is able to deliver an array design that is 12% more productive on average than a staggered layout. Performance was quantified through assessment of the optimised layout using a shallow water equation model which more correctly represents turbines through discrete momentum sink terms.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Version of record, pdf, 1.1MB, Terms of use)
-
- Publisher copy:
- 10.3850/IAHR-39WC2521711920221177
Authors
+ European Commission
More from this funder
- Funder identifier:
- https://ror.org/00k4n6c32
- Funding agency for:
- Angeloudis, A
- Grant:
- 101037643
- Programme:
- ILIAD DTO
+ Engineering and Physical Sciences Research Council
More from this funder
- Funder identifier:
- https://ror.org/0439y7842
- Funding agency for:
- Piggott, MD
- Grant:
- EP/M011054/1
- EP/R029423/1
+ European Commission
More from this funder
- Funder identifier:
- https://ror.org/00k4n6c32
- Funding agency for:
- Coles, D
- Programme:
- Tidal Stream Industry Energiser project (TIGER)
+ Natural Environment Research Council
More from this funder
- Funder identifier:
- https://ror.org/02b5d8509
- Funding agency for:
- Angeloudis, A
- Grant:
- NE/R013209/2
- Publisher:
- International Association for Hydro-Environment Engineering and Research
- Host title:
- Proceedings of the 39th IAHR World Congress (Granada, 2022)
- Pages:
- 4720-4729
- Place of publication:
- Madrid, Spain
- Publication date:
- 2022-06-19
- Event title:
- 39th IAHR World Congress "From Snow to Sea"
- Event location:
- Granada, Spain
- Event website:
- https://www.iahr.org/index/detail/688
- Event start date:
- 2022-06-19
- Event end date:
- 2022-06-24
- DOI:
- EISSN:
-
2521-716X
- ISSN:
-
2521-7119
- ISBN:
- 9789083261218
- Language:
-
English
- Keywords:
- Pubs id:
-
2083305
- UUID:
-
uuid_c9c14f50-fc40-4e1f-8fe4-d25fec167fb1
- Local pid:
-
pubs:2083305
- Deposit date:
-
2026-01-06
- ARK identifier:
Terms of use
- Copyright holder:
- International Association for Hydro-Environment Engineering and Research
- Copyright date:
- 2022
- Rights statement:
- © 2022 IAHR.
If you are the owner of this record, you can report an update to it here: Report update to this record