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

Informacje na temat projektu

FLOATFARM

Identyfikator umowy o grant: 101136091

DOI

10.3030/101136091

Data podpisania przez KE 17 Listopada 2023

Data rozpoczęcia 1 Stycznia 2024

Data zakończenia 31 Grudnia 2027

Finansowanie w ramach

• Climate, Energy and Mobility

Koszt całkowity

€ 5 997 630,00

Wkład UE

€ 5 997 630,00

Koordynowany przez

TECHNISCHE UNIVERSITAT BERLIN
Germany

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (2)

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.

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.

Publikacje

Peer reviewed articles (1)

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

Autorzy: Giovanni Ludeno, Giuseppe Esposito, Claudio Lugni, Francesco Soldovieri, Gianluca Gennarelli
Opublikowane w: Journal of Marine Science and Engineering, Numer 12, 2024, ISSN 2077-1312
Wydawca: MDPI AG
DOI: 10.3390/JMSE12091609