Defence Andreas T Asikkis: "Numerical Modelling, Validation, and Optimization of Wave Energy Systems"
Promotors: 1st promotor: Prof Antonis Vakis, 2nd promotor: Prof Dimokratis Grigoriadis, 3rd promotor: Prof Lucy Avraamidou
Abstract: Producing electricity without carbon emissions remains a major challenge, especially as renewable sources such as wind and solar are variable. Ocean waves offer a large and predictable source of renewable energy that can help balance future power systems, particularly in coastal regions. However, wave energy technology is still at an early stage of development, mainly due to high costs, complex interactions between waves and floating structures, and uncertainty in the numerical tools used to design these systems.
This PhD thesis focuses on improving the modelling, validation, and optimisation of wave energy systems, with particular emphasis on arrays of Wave Energy Converters (WECs). The research combines numerical simulations with experimental data to assess how accurately commonly used simulation tools can predict the behaviour and energy output of both single devices and dense arrays. Open-source modelling tools are validated against experimental measurements, and their limitations are identified under different wave conditions.
The thesis also examines how design choices, such as mooring configuration and hydraulic power-take-off systems, influence energy production. By optimising these systems at array level, the work demonstrates how overall power output can be significantly improved without changing the physical size of the devices. In addition, high-fidelity fluid simulations are used to study extreme wave impacts on coastal structures, helping clarify when advanced models are necessary.
Finally, the thesis connects research with education by developing a digital, simulationbased teaching module that allows students to explore offshore renewable energy systems using real engineering tools. Together, the results support more reliable design methods, better-performing wave energy arrays, and improved training of future engineers.