Numerical modelling, validation, and optimization of wave energy systems
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.
In his PhD thesis, Andreas Asiikkis focuses on improving the modelling, validation, and optimisation of wave energy systems, with particular emphasis on arrays of Wave Energy Converters (WECs). Asiikkis 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. He validates open-source modelling tools against experimental measurements, and identifies their limitations under different wave conditions.
Asiikkis 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, he demonstrates how overall power output can be significantly improved without changing the physical size of the devices. In addition, Asiikkis uses high-fidelity fluid simulations to study extreme wave impacts on coastal structures, helping clarify when advanced models are necessary.
Finally, Asiikkis connects research with education by developing a digital, simulation-based 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.