Multiobjective optimization for nearshore submerged wave farms

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To generate a commercially viable amount of electricity, wave energy converters (WECs) need to be deployed in arrays or “wave farms”. However, when designing a wave farm, there is a trade-off between the power production potential and installation/operational costs, with the optimal design for one objective not necessarily favourable for the other. In this work, we examine two primary objectives when designing a wave farm. The first objective is maximizing the overall power production of the farm with a single constraint, which is a minimum separation distance of 100 m between individual WECs. The second objective is minimizing the total cable length (with increased cable length leading to increased costs) connecting each WEC to a sub-station and from the sub-station to a shore crossing. The power take-off (PTO) parameters were optimized for each WEC in the array to generate maximum power in both cases. A case study examining the multiobjective optimization with a probability-based evolutionary strategy is conducted for wave conditions representative of Albany, Western Australia, with farms composed of 5, 10 and 15 fully submerged cylindrical point-absorber type WECs similar to Carnegie Clean Energy’s CETO-6 device. Simulations show that the converged layouts in the pareto front preferring maximum power form a single line aligned perpendicular to the predominant wave direction, whereas, the layouts preferring minimum cable length form multiple lines.

Original languageEnglish
Title of host publicationProceedings of the 14th European Wave and Tidal Energy Conference
Place of PublicationUK
PublisherEuropean Wave and Tidal Energy Conference
Publication statusPublished - 2021
Event14th European Wave and Tidal Energy Conference - , Virtual
Duration: 5 Sept 20219 Sept 2021


Conference14th European Wave and Tidal Energy Conference
Abbreviated titleEWTEC 2021


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