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Giuseppe Giorgi, Josh Davidson, Giuseppe Habib, Giovanni Bracco, Giuliana Mattiazzo and Tamás Kalmár-Nagy
Mathematical models are essential for the design and control of offshore systems, to simulate the fluid?structure interactions and predict the motions and the structural loads. In the development and derivation of the models, simplifying assumptions are ...
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Simon Thomas, Marianna Giassi, Mikael Eriksson, Malin Göteman, Jan Isberg, Edward Ransley, Martyn Hann and Jens Engström
This paper introduces a machine learning based control strategy for energy converter arrays designed to work under realistic conditions where the optimal control parameter can not be obtained analytically. The control strategy neither relies on a mathema...
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Timothy Vervaet, Vasiliki Stratigaki, Brecht De Backer, Kurt Stockman, Marc Vantorre and Peter Troch
Commercial wave energy exploitation will be realised by placing multiple wave energy converters (WECs) in an array configuration. A point-absorber WEC consists of a floating or submerged body to capture wave energy from different wave directions. This po...
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Yuanzhen Cai, Milad Bazli, Asanka P. Basnayake, Martin Veidt and Michael T. Heitzmann
Ocean energy is an underutilized renewable energy source compared with hydropower and wind power. Therefore, the development of economical and efficient wave energy converters (WECs) is important and crucial for offshore power generation. The mooring ten...
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Josh Davidson and Tamás Kalmár-Nagy
Parametric resonance is a dynamic instability due to the internal transfer of energy between degrees of freedom. Parametric resonance is known to cause large unstable pitch and/or roll motions in floating bodies, and has been observed in wave energy conv...
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Guilherme Moura Paredes, Claes Eskilsson and Allan P. Engsig-Karup
Mooring systems exhibit high failure rates. This is especially problematic for offshore renewable energy systems, like wave and floating wind, where the mooring system can be an active component and the redundancy in the design must be kept low. Here we ...
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