CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
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 (opens in new window)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 (opens in new window)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 (opens in new window)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 (opens in new window)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.
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 (opens in new window)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.
Publications
Author(s):
Giovanni Ludeno, Giuseppe Esposito, Claudio Lugni, Francesco Soldovieri, Gianluca Gennarelli
Published in:
Journal of Marine Science and Engineering, Issue 12, 2024, ISSN 2077-1312
Publisher:
MDPI AG
DOI:
10.3390/JMSE12091609
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