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

Informazioni relative al progetto

FLOATFARM

ID dell’accordo di sovvenzione: 101136091

DOI

10.3030/101136091

Data della firma CE 17 Novembre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Dicembre 2027

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 5 997 630,00

Contributo UE

€ 5 997 630,00

Coordinato da

TECHNISCHE UNIVERSITAT BERLIN
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Peer reviewed articles (12)

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

Autori: Francesco Papi, Pier Francesco Melani, Alessandro Bianchini
Pubblicato in: Wind Energy Science, Numero 11, 2026, ISSN 2366-7451
Editore: Copernicus GmbH
DOI: 10.5194/WES-11-1123-2026

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

Autori: Fanzhong Meng, Andrew J. Russell, Alan W.H. Lio
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: 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

Autori: Giovanni Ludeno, Giuseppe Esposito, Claudio Lugni, Francesco Soldovieri, Gianluca Gennarelli
Pubblicato in: Journal of Marine Science and Engineering, Numero 12, 2024, ISSN 2077-1312
Editore: MDPI AG
DOI: 10.3390/JMSE12091609

Data-Driven Wave Feedforward Control for Floating Offshore Wind Turbines

Autori: Leendert Starink, Sebastiaan Mulders, Jan-Willem van Wingerden
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: 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

Autori: Andrew J. Russell, Fanzhong Meng, Fabio Pierella
Pubblicato in: Marine Structures, Numero 111, 2026, ISSN 0951-8339
Editore: 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

Autori: Songhan Zhang, Wim De Waele, Kris Hectors
Pubblicato in: Advances in Engineering Software, Numero 211, 2025, ISSN 0965-9978
Editore: 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

Autori: Robert Behrens de Luna, Francesco Papi, David Marten, Christian Oliver Paschereit
Pubblicato in: Wind Energy Science, Numero 10, 2026, ISSN 2366-7451
Editore: Copernicus GmbH
DOI: 10.5194/WES-10-3045-2025

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

Autori: Leendert Starink, Zhaochen Xie, Marcus Becker, Daniel Van Den Berg, Jan-Willem Van Wingerden
Pubblicato in: Journal of Physics: Conference Series, Numero 3131, 2025, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3131/1/012039

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

Autori: Andrew J. Russell, Fanzhong Meng
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/8/082019

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

Autori: G. Troise, V. Auriemma, D. Coiro
Pubblicato in: Journal of Physics: Conference Series, Numero 3185, 2026, ISSN 1742-6588
Editore: 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

Autori: Francesco Papi, Irene Giuliani, Alessandro Bianchini
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: 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

Autori: Irene Giuliani, Liselotte Ulvgård, Francesco Papi, Alessandro Bianchini
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/8/082023

Conference proceedings (4)

Design wave identification using different hydrodynamic models

Autori: Athanasios Dermatis, Seung-Yoon Han, Sylvain Jamet, Benjamin Bouscasse, Guillaume Ducrozet.
Pubblicato in: 41st International Workshop on Water Waves and Floating Bodies, 2026
Editore: HAL Open Science

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

Autori: Tiago Teles, Tiago Gomes, Marcos Ricardo Souza, Guilherme Beleza Vaz
Pubblicato in: Volume 6: Polar and Arctic Sciences and Technology; Computational Mechanics and Data Science, 2026
Editore: 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

Autori: Vaz, G., Gomes, T., & Ricardo Souza, M.
Pubblicato in: Underwater Acoustics Conference and Exhibition 2025 (UACE2025), 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.15828127

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

Autori: Vaz, G., & Gomes, T.
Pubblicato in: Underwater Acoustics Conference and Exhibition 2025 (UACE2025), 2025
Editore: Zenodo
DOI: 10.5281/ZENODO.15828225