Filippo Giorcelli
Techno-Economic Optimization Under Uncertainty of a Wave Energy Converter.
Rel. Giovanni Bracco, Giuliana Mattiazzo, Sergej Antonello Sirigu. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Meccanica, 2021
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Abstract
In the field of renewable technologies, the possibility to obtain energy exploiting seas and oceans’ wave motion has been known for a long time. Devices called Wave Energy Converters (WEC) have been developed with this purpose, thanks to which it is possible to transform wave energy into electric energy. Following the design studies carried out in recent years, the research now proceeds towards the development of useful processes for the optimization of these devices. The purpose of this thesis work is to study, analyze and then apply a robust optimization process to the WEC system, in order to increase its reliability and robustness.
Robust optimization is a probabilistic solving method for real-life optimization problems, in which there are uncertain data that, due to their stochastic nature or uncertainty (linked to design condition changes or to wear), can float around their project value
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