Webinars

Computational and experimental analysis of the overtopping on structures for offshore renewables

The overtopping effect on offshore structures is described, followed by an explanation of numerical modelling. The team provides details about the analytical and experimental validation of the models.

Lecturers: TECNALIA, Department of Energy Engineering of the UPV/EHU.

This webinar is part of the dissemination activities of the MATHEO project. MATHEO is a research project funded by the Basque Government under the Elkartek programme with the participation of TECNALIA, BCAM, and three departments of UPV/EHU, to advance in the physical knowledge and in the mathematical modelling of offshore wind.

Modelling and simulation of sediment material for offshore wind energy applications

Description of the seabed complexity in terms of sediment types and SPH modelling; application of the numerical models to the interaction of drag embedded anchors with the seabed for floating wind.

Lecturers: TECNALIA, Department of Geodynamics of the UPV/EHU, BCAM, Department of Energy Engineering of the UPV/EHU.

This webinar is part of the dissemination activities of the MATHEO project. MATHEO is a research project funded by the Basque Government under the Elkartek programme with the participation of TECNALIA, BCAM, and three departments of UPV/EHU, to advance in the physical knowledge and in the mathematical modelling of offshore wind.

Challenges of applying deep neural networks to the offshore wind energy sector

Description of the fundamentals of neural networks and application of deep learning techniques to the structural health monitoring -SHM- for the O&M cost reduction in offshore wind.

Lecturers: TECNALIA, Department of Applied Mathematics, Statistics and Operations Research of the UPV/EHU, BCAM

This webinar is part of the dissemination activities of the MATHEO project. MATHEO is a research project funded by the Basque Government under the Elkartek programme with the participation of TECNALIA, BCAM, and three departments of UPV/EHU, to advance in the physical knowledge and in the mathematical modelling of offshore wind.