Geometry optimisation of wave energy converters
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Wave energy has the theoretical potential to meet global electricity demand, but it remains less mature and less cost-competitive than wind or solar power. A key barrier is the absence of engineering convergence on an optimal wave energy converter (WEC) design. In this work, I demonstrate how geometry optimisation can deliver step-change improvements in WEC performance. I present methodology and results from optimisations of two types of WECs: an axisymmetric point-absorber WEC and a top-hinged WEC. I show how the two types need different optimisation frameworks due to the differing physics of how they make waves. For axisymmetric WECs, optimisation achieves a 69% reduction in surface area (a cost proxy) while preserving power capture and motion constraints. For top-hinged WECs, optimisation reduces the reaction moment (another cost proxy) by 35% with only a 12% decrease in power. These result show that geometry optimisation can substantially improve performance and reduce costs of WECs.
Date: 4 December 2025, 12:00
Venue: Mathematical Institute, Woodstock Road OX2 6GG
Venue Details: L3
Speakers: Speaker to be announced
Organiser: Alain Goriely (University of Oxford)
Organiser contact email address: Kirkham@maths.ox.ac.uk
Part of: Industrial & Applied Mathematics Seminar
Booking required?: Not required
Cost: Free
Audience: Public
Editor: Nicola Kirkham