Hybrid wave–wind energy site power output augmentation using effective ensemble covariance matrix adaptation evolutionary algorithm

Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S.P. da Silva, Seyedali Mirjalili, Amir H. Gandomi, Ossama Abdelkhalik and John Boland

Renewable and Sustainable Energy Reviews, 2025, vol. 222, issue C

Abstract: Floating hybrid wind–wave systems combine offshore wind platforms and WECs to create cost-effective, reliable energy solutions. WECs that are properly designed and tuned are required to avoid unwanted loads that can interfere with turbine motion while efficiently extracting energy from waves. The systems diversify energy sources, enhance energy security, and reduce supply risks while delivering a smoother power output through the minimisation of energy production variability. However, optimisation of these systems is hindered by physical and hydrodynamic component–component interactions, which cause a challenging optimisation space. A 5-MW OC4-DeepCwind semi-submersible platform and three spherical WECs are taken into consideration in this paper in order to explore such synergies.

Keywords: Hybrid wave–wind energy; Wind turbine; Wave energy converters; Ensemble optimisation; Evolutionary algorithms; Covariance Matrix Adaptation (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.rser.2025.115896

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