Nearshore submerged wave farm optimisation

Nearshore submerged wave farm optimisation: A multi-objective approach

David, Daniel R. (University of Western Australia)
Kurniawan, Adi (University of Western Australia)
Wolgamot, Hugh (University of Western Australia)
Hansen, Jeff E. (University of Western Australia)
Rijnsdorp, D.P. (TU Delft Environmental Fluid Mechanics; University of Western Australia)
Lowe, Ryan (The University of Western Australia)

2022

To be commercially viable, wave energy converters (WECs) will need to be deployed in arrays or “wave farms” to generate significant amounts of energy and to have the costs of these farms minimised. However, when designing a wave farm, there are a number of trade-offs to be made between competing objectives; for example, between the power production potential and installation costs, with the optimal design for one objective not necessarily favourable for the other. In this study, we developed a multi-objective optimisation methodology to allow rigorous evaluation of the trade-offs amongst multiple objectives. We demonstrate the methodology for four objectives: (1) maximising power production, (2) minimising the foundation loads, (3) minimising the number of foundations and (4) minimising the total export cable length required. However, the method is flexible and can be used for optimising a range of other parameters. A case study examining multi-objective optimisation of a wave farm using the developed probability-based evolutionary strategy was conducted for a proposed development site in Albany, Western Australia. The wave farms were composed of 5, 10 and 20 fully submerged cylindrical point-absorber type WECs similar to Carnegie Clean Energy's CETO-6 device. Simulations show that the optimal layouts preferring maximum power formed a single line perpendicular to the predominant wave direction; the optimal layouts preferring minimum cable length and a minimum number of foundations form multiple lines; whereas the optimal layouts preferring minimum foundation loads formed multiple lines in line with the predominant wave direction. By applying a cost model and non-dominated sorting, the methodology allowed us to quantify the trade-offs between power production and cost.

LCoE
Loads
Multi-objective optimisation
Wave energy converters
Wave farms
Wave power

http://resolver.tudelft.nl/uuid:7c7c1920-4e31-4b04-b51e-515293b567d3

https://doi.org/10.1016/j.apor.2022.103225

2023-07-01

0141-1187

Applied Ocean Research, 124

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2022 Daniel R. David, Adi Kurniawan, Hugh Wolgamot, Jeff E. Hansen, D.P. Rijnsdorp, Ryan Lowe