| KEYWORD |
Data-based optimisation of arrays of wave energy conversion systems
keywords CONTROL, DATA-DRIVEN MODELLING, HYDRODYNAMICS, MODELLING, SIGNAL PROCESSING, WAVE ENERGY - HYDRODYNAMICS - NUMERICAL MODELLING
Reference persons NICOLAS EZEQUIEL FAEDO
External reference persons Dr. Francesco Ferri (ffer@build.aau.dk)
Research Groups 14-Meccatronica e servosistemi
Thesis type MASTER THESIS
Description Wave energy conversion devices, commonly referred to as wave energy converters (WECs), need to be deployed in array configurations to maximise the overall energy extraction from the ocean wave resource, hence directly lowering the associated levelised cost of energy. Optimising array layouts hence becomes a fundamental stepping stone towards widespread commercialisation of WEC technology. This project aims at using non-parametric data, in the frequency-domain, to optimise layout configurations based on spectral analysis. Hydrodynamic solvers will be used in order to compute sufficient data to characterise a set of diverse array configurations, used for optimisation leveraging algorithms able to balance Euclidean and H∞ norms with the scope of maximising controllability. Tools from data analysis will be used, including (but not limited to) signal processing, and system identification, among others.
See also proposal_faedo_aalborg.pdf
Required skills Linear algebra, Matlab
Deadline 22/07/2025
PROPONI LA TUA CANDIDATURA