Developing the Next Generation of Environmentally-Friendly Floating Wind Farms with Innovative Technologies and Sustainable Solutions

Información del proyecto

FLOATFARM

Identificador del acuerdo de subvención: 101136091

DOI

10.3030/101136091

Fecha de la firma de la CE 17 Noviembre 2023

Fecha de inicio 1 Enero 2024

Fecha de finalización 31 Diciembre 2027

Financiado con arreglo a

• Climate, Energy and Mobility

Coste total

€ 5 997 630,00

Aportación de la UE

€ 5 997 630,00

Coordinado por

TECHNISCHE UNIVERSITAT BERLIN
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (5)

Validation and testing of radar wave sensing on FLOATGEN data

This deliverable will describe the ability of predicting hydrodynamic excitation forces through radar-scanning of the incoming wave field. The methods through which measured incoming wave heights and platform motions can be correlated will be described. The methodology will be applied to an open-sea test case and results will be discussed herein.

Repositioning control solution capable of relocating a floating turbine within a wind farm

This deliverable can be subdivided into two main parts: 1. Control development to move a floating turbine within a certain space: This focuses on designing a control solution that can track the turbine to a desired position using available actuators. This part solely focuses on the downstream turbine and how it should be controlled to achieve the desired increase in energy capture TUD) 2. Cooperative control between two floating turbines: This will cover how the controller developed in Part 1 can be best used when the incoming wake is dynamically changing over time. The majority of the work will be carried out by TUD and will be supported by TUB primarily through the use of Matlab Simulink and QBlade simulations. QBlade can be used for finding linear models for control development. This is done using system identification experiments. QBlade will also be used as a platform to test linear models in a higher fidelity simulation environment.

Novel generator design and performance

The preliminary design of an innovative lightweight generator design that leverages Hagnesia’s patented technology will be carried out. The design will be optimized based on the requirements of the project. The characteristics of the direct-drive generator will be described.

Validated wake model for QBlade capable of modeling turbine interactions

In this task, a new wake model will be developed to increase the fidelity of the wake model within QBlade without sacrificing computational efficiency. TUB, with the help of DTU, will develop this new wake model, which will be released as an open-source flow solver (M12). This solver will be coupled to QBlade in order to allow fast simulation of active wake excitation methods. The wake model will be validated against unsteady wake measurements using data gathered in wind tunnel experiments at the TU Delft.

High fidelity structural modelling for identification of critical strain points

This report details functionality and application of a specific tool dedicated to the automatic generation of three-dimensional tubular joint meshes, taking into account geometrical characteristics for a finite element analysis.

Other (2)

An Interface of HAWC2 to the Framework for Floating Offshore Turbine Design Optimization WEIS

The source code of the interface between HAWC2 and WEIS will be released on GitHub (or similar) together with a hands-on examples on its application and inital demonstration cases.

An Interface of QBlade to the Framework for Floating Offshore Turbine Design Optimization WEIS

The source code of the interface between QBlade and WEIS will be released on GitHub (or similar) together with a hands-on examples on its application and inital demonstration cases.

Publicaciones

Peer reviewed articles (12)

An open database of high-fidelity, multi-Reynolds airfoil polars for wind turbine blade design

Autores: Francesco Papi, Pier Francesco Melani, Alessandro Bianchini
Publicado en: Wind Energy Science, Edición 11, 2026, ISSN 2366-7451
Editor: Copernicus GmbH
DOI: 10.5194/WES-11-1123-2026

Floating offshore wind turbine control design and optimization: A holistic co-design approach

Autores: Fanzhong Meng, Andrew J. Russell, Alan W.H. Lio
Publicado en: Journal of Physics: Conference Series, Edición 3224, 2026, ISSN 1742-6588
Editor: IOP Publishing
DOI: 10.1088/1742-6596/3224/8/082026

A Deep Learning Strategy for the Retrieval of Sea Wave Spectra from Marine Radar Data

Autores: Giovanni Ludeno, Giuseppe Esposito, Claudio Lugni, Francesco Soldovieri, Gianluca Gennarelli
Publicado en: Journal of Marine Science and Engineering, Edición 12, 2024, ISSN 2077-1312
Editor: MDPI AG
DOI: 10.3390/JMSE12091609

Data-Driven Wave Feedforward Control for Floating Offshore Wind Turbines

Autores: Leendert Starink, Sebastiaan Mulders, Jan-Willem van Wingerden
Publicado en: Journal of Physics: Conference Series, Edición 3224, 2026, ISSN 1742-6588
Editor: IOP Publishing
DOI: 10.1088/1742-6596/3224/8/082001

Optimization and co-design of the IEA 15MW VolturnUS-S semi-submersible floating offshore wind turbine using the WEIS-HAWC2 framework

Autores: Andrew J. Russell, Fanzhong Meng, Fabio Pierella
Publicado en: Marine Structures, Edición 111, 2026, ISSN 0951-8339
Editor: Elsevier BV
DOI: 10.1016/J.MARSTRUC.2026.104192

HFJOINT: A high-fidelity numerical modeling tool for stress concentration factor analysis of welded tubular joints

Autores: Songhan Zhang, Wim De Waele, Kris Hectors
Publicado en: Advances in Engineering Software, Edición 211, 2025, ISSN 0965-9978
Editor: Elsevier BV
DOI: 10.1016/J.ADVENGSOFT.2025.104046

Analyzing the impact of aeroelastic model fidelity on control co-design optimization of floating offshore wind turbines

Autores: Robert Behrens de Luna, Francesco Papi, David Marten, Christian Oliver Paschereit
Publicado en: Wind Energy Science, Edición 10, 2026, ISSN 2366-7451
Editor: Copernicus GmbH
DOI: 10.5194/WES-10-3045-2025

Optimal (Dynamic) Turbine Repositioning Strategies for a Floating Wind Farm Depending on Mooring Line Stiffness

Autores: Leendert Starink, Zhaochen Xie, Marcus Becker, Daniel Van Den Berg, Jan-Willem Van Wingerden
Publicado en: Journal of Physics: Conference Series, Edición 3131, 2025, ISSN 1742-6588
Editor: IOP Publishing
DOI: 10.1088/1742-6596/3131/1/012039

Design and optimization of a 15 MW spar buoy floating offshore wind turbine

Autores: Andrew J. Russell, Fanzhong Meng
Publicado en: Journal of Physics: Conference Series, Edición 3224, 2026, ISSN 1742-6588
Editor: IOP Publishing
DOI: 10.1088/1742-6596/3224/8/082019

LCOE optimization for offshore floating wind turbines using a low-fidelity simulation approach

Autores: G. Troise, V. Auriemma, D. Coiro
Publicado en: Journal of Physics: Conference Series, Edición 3185, 2026, ISSN 1742-6588
Editor: IOP Publishing
DOI: 10.1088/1742-6596/3185/1/012020

On the prospects of derating and tailoring large offshore turbines for use in floating applications in sea basins with moderate wind speeds

Autores: Francesco Papi, Irene Giuliani, Alessandro Bianchini
Publicado en: Journal of Physics: Conference Series, Edición 3224, 2026, ISSN 1742-6588
Editor: IOP Publishing
DOI: 10.1088/1742-6596/3224/8/082010

Impact of a lightweight generator on tower design and control optimization of a floating wind turbine

Autores: Irene Giuliani, Liselotte Ulvgård, Francesco Papi, Alessandro Bianchini
Publicado en: Journal of Physics: Conference Series, Edición 3224, 2026, ISSN 1742-6588
Editor: IOP Publishing
DOI: 10.1088/1742-6596/3224/8/082023

Conference proceedings (4)

Design wave identification using different hydrodynamic models

Autores: Athanasios Dermatis, Seung-Yoon Han, Sylvain Jamet, Benjamin Bouscasse, Guillaume Ducrozet.
Publicado en: 41st International Workshop on Water Waves and Floating Bodies, 2026
Editor: HAL Open Science

Assessing the Underwater Noise of Floating Offshore Wind Turbines: Geometry Effects and Site Specific Modelling in Southern Brittany

Autores: Tiago Teles, Tiago Gomes, Marcos Ricardo Souza, Guilherme Beleza Vaz
Publicado en: Volume 6: Polar and Arctic Sciences and Technology; Computational Mechanics and Data Science, 2026
Editor: American Society of Mechanical Engineers
DOI: 10.1115/OMAE2026-182179

Soundscape modelling in an offshore region established for offshore technologies in the North of Portugal

Autores: Vaz, G., Gomes, T., & Ricardo Souza, M.
Publicado en: Underwater Acoustics Conference and Exhibition 2025 (UACE2025), 2025
Editor: Zenodo
DOI: 10.5281/ZENODO.15828127

RAINDROP: A Framework for Real-Time Holistic Underwater Acoustic Maps

Autores: Vaz, G., & Gomes, T.
Publicado en: Underwater Acoustics Conference and Exhibition 2025 (UACE2025), 2025
Editor: Zenodo
DOI: 10.5281/ZENODO.15828225