Work Package 1 focuses on the development of the open-source simulation tool (ST) QBlade-Ocean (QB). More specifically, the simulation software was expanded by the capability to model offshore WTs (floating and bottom fixed). Additionally, a higher order aerodynamic solver was implemented into the software tool and the ST NEMOH was extended with the capability to generate QTFs. An interface between QB and NEMOH was created. A project partner training was carried out to convey all the knowledge needed to run simulations in QB to its fullest capability.
The objective of WP2 was to validate the new capabilities of QB and to quantify the achieved reduction of uncertainties. Thereby, differing floater concepts are simulated in QB and compared to experimental results and/or state-of-the-art (SOTA) STs. The validation is performed on a variety of load cases. The second task revealed that the use of higher fidelity simulation reduced fatigue loads and thus indicate a potential to reduce the cost of FOWTs.
WP3 focuses on the development of the novel feed forward wave-based controller to minimize oscillations and thus fatigue loads over the lifetime of a WT (A2). The necessary interface of the controller with QB was achieved in the first period. The wave control logic was tested in an experimental environment during the second reporting period. A key finding was that even though platform motion could be achieved only minor influence on loads could be obtained. A different objective with the same control logic applied led to a more constant power output of the WT, possibly leading to benefits on a grid level. Furthermore, a radar was under operation for multiple months mounted on the Floatgen turbine to validate the capability to predict wave amplitudes and subsequently wave forces. As this information is a requirement to implement the feed forward strategy. The radar amplitude measurements could be validated with a buoy that was positioned on site.
The second innovative control method in A2 is the application of wake mixing control strategies on floating offshore WTs in WP4. To understand how and at which frequency the wake can be excited most efficiently, an investigation to better understand the physical phenomenon of the wake breakdown has been undertaken. Additionally, the effects of platform motion and atmospheric conditions on the breakdown were investigated. Based on these results, a design optimization of various floating platforms for wind turbines with the objective to maximize the wake recovery with minimal control inputs has been carried out. Furthermore, the control techniques have been tested in an experimental set up using PIV to get a better understanding of the physical phenomenon of the wake breakdown and further improve computational tools.
Within WP5 a spread-sheet based tool was developed in order to allow for a flexible way to estimate LCOE reductions based on the novel control methods developed in A2 were. The cost analysis tool was release in open-source and an overall cost-reduction potential of up to 6% was seen.
In WP6, several communication efforts towards the broader public were made, including the set up of a project website, LinkedIn and Twitter profiles. Interviews on radio broadcasts, an easy to understand motion design video and publications in general public oriented journals were produced. Moreover, the industry was targeted with a publication on WindTech Internatioal presenting the novel technologies developed within FLOATECH. More dissemination actions were carried out through participation at two WindEurope events, one including the co-organization of a side event. Aside from the above, the project was presented to peers through presentations at multiple scientific conferences (Torque 2022, WESC 2023, OMAE 2023, etc.). Two webinars were organized and finally, the key outcomes of the project were presented during an infoday event in berlin that was attended by researches, policymakers, engineers and students.
WP7 focused on the project management and the communication with the EC.
