@misc{9232801,
  abstract     = {{As offshore wind farms continue to grow in scale and number, wake interaction between turbines represents a significant source of power loss and increased fatigue risk. Consequently, there has been an increased interest in wake control strategies. Wake control strategies aim to mitigate these effects but
their comparative effectiveness across power, wake velocity and turbulence intensity is not well established for large offshore turbines. Thus, a computational fluid dynamic (CFD) study comparing three wake control strategies: Axial induction control (AIC) via pitch and, via derating and yaw control, is conducted for a three-turbine inline offshore wind farm using the IEA 15MW reference turbine. This was conducted using OpenFOAM with turbinesFoam actuator line model (ALM) implementation and RANS k − ϵ turbulence modeling. The metrics evaluated for this study are: total farm power output, normalized streamwise velocity, and turbulence intensity along the farm centerline. Each strategy’s control parameters were selected based on ranges reported in existing literature. AIC via pitch tested at −5.0◦, −2.5◦, +2.5◦ and +5.0◦, AIC via derating at 90%, 75% and 60%, and yaw control at 10◦, 20◦ and 30◦. The findings of this study revealed that AIC via negative pitch achieved the highest total farm power (+1.37%) for pitch −2.5◦. However, as turbine 1, T1, operates below its optimal tip speed ratio (TSR), negative pitch increases Ct rather than reducing it, deepening the downstream wake and reducing T2 and T3 power output. AIC via derating produced net negative farm power across all cases but achieved the greatest velocity improvement and turbulence intensity (TI) reduction behind T1, with a TI difference of -5.3% to -18% at T2 and -0.71% to -3.2% at T3, where TI decreased with higher derating levels. Yaw control produced the most balanced results, with a net farm gain of +0.32% for
yaw 10◦ with meaningful downstream improvements, with a TI reduction of -1.15% at T2 and -0.48% at T3. All strategies showed limited benefit to T3 due to dominant wake formation behind T2. These results demonstrate that no single wake control strategy dominates across all performance metrics simultaneously. The decision of which strategy to choose is thus dependent on whether power maximization or fatigue risk reduction is the primary operating objective.}},
  author       = {{Holz, Julia and Aradóttir, Birta}},
  issn         = {{0282-1990}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Wake Control Strategies for a Large-Scale Offshore Wind Turbine: A Comparative CFD Study of Axial Induction & Yaw Control on the IEA 15MW Reference Turbine}},
  year         = {{2026}},
}