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Type
Lecture

Machine learning for floating wind foundations

Event organised by Offshore Engineering Society

Date
13 November 2024
Time
18:00 - 19:30 GMT
Location
One Great George Street
Westminster
London, SW1P 3AA
United Kingdom
Add to Calendar 13-11-2024 18:00 13-11-2024 19:30 false Europe/London Machine learning for floating wind foundations https://ice.org.uk/events/latest-events/ml-for-floating-wind-foundations-oes-nov-2024/ One Great George Street, London

Hybrid

Register to attend online. No booking is required to attend in person.

Free

Overview

The analysis of floating wind turbine foundations requires numerous complex simulations to capture full system performance. A floating wind turbine system includes several varying inputs, including turbulent wind and random wave spectra combined with the interaction of the floater, turbine, turbine controller and mooring. This time domain analysis is computationally intensive and requires repetition of hundreds of load cases, each repeated with many wave seeds to capture the full array of possible metocean conditions.

At this event you can find out how machine learning algorithms were used to develop surrogate models that predict selected performance indicator(s) e.g. damage equivalent load (DEL) and how they were taught the behaviour of a floating wind turbine by performing time domain Orcaflex analysis of a range of floater configurations each varying in a key dimension.

You'll discover how, through this surrogate modelling, using a limited data set, results closely aligned with those obtained from OrcaFlex using a full data set can be achieved at a fraction of the computational cost, making this method highly efficient for practical engineering applications.

Please note: booking is not required to attend in person. Please register to attend online.

Organised by

The Offshore Engineering Society

The Offshore Engineering Society

The OES acts to promote interest and scholarship in both the scientific and applied aspects of offshore engineering.

Venue

One Great George Street
Westminster
London
SW1P 3AA
United Kingdom

Programme

17:30 - 18:00

Registration and refreshments

18:00 - 19:30

Lecture - The application of machine learning to predict the fatigue performance of floating wind foundations

19:30

Event ends

Speaker

Nick Allen

Nick Allen

Saipem

principal naval analysis engineer

Read more

Nick Allen

Nick is a naval analysis engineer working at Saipem Ltd. He holds a degree in Naval Architecture from the University of Newcastle upon Tyne. Nick joined Saipem in 2018 and has worked in the floating wind department since its inception on several floating wind projects.