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Sustainable and Intelligent Installation of Anchor Piles for Floating Offshore Wind Energy

Project description

Smarter, greener anchoring for floating wind turbines

Offshore wind energy is a priority of in Europe. As development at shallow sites approaches completion, attention is turning to floating offshore wind (FOW) turbines in deeper waters. However, the anchor piles used to secure these turbines can be costly, inefficient, and harmful to marine mammals. With support from the Marie Skłodowska-Curie Actions programme, the SIINSTALL project will develop an intelligent forecasting system to predict soil resistance to driving, promoting more sustainable and environmentally friendly vibratory driving methods. The project will create unique databases from physical modelling tests, develop neural network-based surrogate models, and conduct numerical simulations and parametric studies on soil behaviour during vibro-driving.

Objective

The European Strategic Energy Technology Plan prioritizes research and innovation in offshore wind energy to achieve climate neutrality by 2050. With shallow offshore sites nearly developed, attention is now shifting to deeper waters (>60 m depth), where floating offshore wind (FOW) turbines are more viable. Anchor piles, which are hollow steel pipes, are widely used to secure FOW turbines to the seabed. Currently, the installation of anchor piles relies on large hydraulic hammers that deliver strike blows to the pile head. However, this method is inefficient, expensive, and generates harmful underwater noise, which can negatively affect marine mammals. In this context, an innovative method is urgently needed to improve installation efficiency, and reduce environmental harm, thereby making FOW more viable.
SIINSTALL aims to promote the wide adoption of vibratory driving method by developing an intelligent forecasting system to predict pile driveability and soil resistance to driving. To achieve this, the researcher will: (i) create a unique database of physical modelling tests using the cutting-edge centrifuge facilities at TU Delft, simulating the vibro-driving of anchor piles; (ii) perform numerical simulations and parametric studies to gain deeper insights into soil behaviour during vibro-driving; and (iii) develop a neural network-based surrogate model, integrating data from numerical and physical modelling. This machine learning model will form the core of the intelligent forecasting system.
SIINSTALL takes a strong interdisciplinary approach, bridging offshore geotechnics, computer science, and physics while addressing industry needs. To ensure the project’s success, the researcher will conduct research within TU Delft’s Geo-Engineering group, including a three-month secondment at the University of Western Australia. This project will enhance the researcher’s academic career, fostering independent leadership skills and expertise in floating offshore wind.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

TECHNISCHE UNIVERSITEIT DELFT
Net EU contribution
€ 232 916,16
Total cost
No data

Partners (1)