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dc.contributor.advisorNguyen, Dong Trong
dc.contributor.advisorBachynski-Polić, Erin
dc.contributor.advisorZaayer, Michiel
dc.contributor.advisorViré, Axelle
dc.contributor.authorCeriello, Vincenzo
dc.date.accessioned2024-02-27T18:19:30Z
dc.date.available2024-02-27T18:19:30Z
dc.date.issued2023
dc.identifierno.ntnu:inspera:140297266:134885355
dc.identifier.urihttps://hdl.handle.net/11250/3120185
dc.description.abstract
dc.description.abstractFloating wind turbines despite the potential to harness energy from deep offshore areas where higher average wind speeds face challenges in terms of competitiveness. One approach to raising the competitiveness of a wind farm is to mitigate efficiency losses resulting from the wake effect. This report focuses on the combination of three notable wake effect mitigation strategies: layout optimization, yaw-based wake redirection, and turbine repositioning. A preliminary analysis of the combined effect of wind turbine repositioning and yaw-based wake redirection on power performance for the case of two turbines only is performed. Above rated wind speeds, upstream turbine yawing reduces downstream turbine movement, with reductions of around 1 to 4 rotor diameters longitudinally and 0.2 to 0.5 times the rotor diameter laterally, keeping the same level of power efficiency. Nextly, an optimization problem that integrates layout optimization with yaw-based wake steering and turbine repositioning for power maximization across an extended wind farm is formulated. The optimization frame followed a sequential approach. The results on a case study confirmed that the effect of adding yaw-based wake redirection to turbine repositioning remains significant for multiple turbines, with several percent-point efficiency improvements for small movable ranges. For larger ranges, the contribution of yaw control diminishes rapidly to one percent-point or less. Yaw control enables movable range reductions of 10% to 50%, preserving wind farm efficiency. Yet, reductions are more pronounced in smaller, less effective movable ranges. Below rated conditions, the effectiveness of yaw control diminishes swiftly. Furthermore, the study delves into the implications of integrating position mooring for turbine repositioning and yaw-based wake mitigation strategies on mooring system performance. This examination employs a proposed methodology aimed at minimizing the position error across most points within the movable range. Both the tension of the mooring lines and the static stiffness of the floater showed to be sensitive to the position of the floater, the direction of the wind load and the yaw of the wind turbine. It results that the orientation of the mooring lines with correspondence of the prevailing wind direction, as well as that restrictive constraints on the tension and stiffness should be taken into account when designing a mooring system for turbine repositioning. Overall, combining, yaw-based wake redirection, and turbine repositioning allows for greater wind farm AEP, with gains contingent on turbine movable range and upcoming wind speeds. Designing position mooring systems must factor in the influence of yaw-based wake redirection and turbine repositioning on mooring system tension and stiffness. More advanced analyses, including dynamic assessments, are essential for comprehending the mooring lines system's response to position mooring for turbine repositioning, and yaw-based wake redirection.
dc.languageeng
dc.publisherNTNU
dc.titleWake Effect Mitigation of Floating Offshore Wind Farms Combining Layout Optimization, Turbine Repositioning and Yaw-based Wake Redirection
dc.typeMaster thesis


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