A lighter multi-body offshore wind turbine platform concept, called TetraSpar, is recently designed to drop the levelized cost of energy and facilitate the transportation and installation process. As opposed to the common unibody design, the TetraSpar platform vibrates in collective, local, and coupled modes. In addition, implementing a detuned blade pitch control system has gained recognition as a viable approach to address the issue of negative damping in floating offshore wind turbines (FOWTs). Therefore, this research conducts a thorough analyses to fully understand the platform when coupled with a large wind turbine and investigates the contribution of different control methods in stabilizing the system. We use FAST-to-AQWA (F2A) coupling framework to model the multi-body structures, flexible components, and aero-elastic responses
Wake-turbine interaction in wind farms is one of the major contributors to overall power loss. Recently, a novel technique for wake mixing process is proposed using a dynamic individual pitch control (DIPC) method. This control strategy leads to an enhanced wake mixing phenomenon that can recover the wake velocity and increase overall power production by imposing little power and thrust fluctuations on the excited turbine. In this research, a higher-order DIPC method is introduced and tested in tandem offshore wind plant layout. For this, a large eddy simulation (LES) based wind farm solver that integrates actuator line models (ALM) is utilized to perform the dynamic simulations in an atmospheric boundary layer (ABL).
Interests in operating FOWTs with advanced controllers, particularly for fatigue load reduction, is continuously growing. . While FOWTs are commonly grouped in wind farm configurations where individual turbines are influenced by the wake of upstream turbines, prior studies have primarily concentrated on analyzing the fatigue loads of single wind turbines operating in turbulent Atmospheric Boundary Layer flows, excluding the effects of upstream turbine wakes. To bridge this gap, we have developed an in-house LES code capable of simulating the wake flow behind an upstream wind turbine. This wake flow can then serve as inflow input for multi-body dynamics tools, allowing us to delve into the investigation of fatigue loads on wind turbines with various controllers within the context of wake interactions.
