Optimization of Wind Turbine Rotor Settings and Wake Steering Techniques to Enhance Power Generation

This study addresses the critical need to enhance wind farm efficiency by optimizing turbine configurations and wake steering techniques. Utilizing advanced computational tools like OpenFAST and FAST.Farm, this study consisted of a dual analysis of single-turbine configurations and multi-turbine setups with varying wake steering parameters, including yaw misalignment, shaft tilt, and angle offset. In single-turbine analyses, the blade pitch angle emerged as the most influential factor for maximizing power generation, while shaft tilt showed negligible effects and precone angle had a modest influence. Multi-turbine simulations revealed that yaw misalignment is a powerful tool for deflecting wake effects and enhancing downstream turbine performance, especially at larger turbine spacings. Conversely, angle offsets proved more effective in compact wind farms with limited spacing, providing substantial power gains but reducing energy density at larger spacings. These findings underscore the importance of balancing configuration strategies with spatial and economic constraints, offering actionable insights for optimizing wind farm layouts and advancing sustainable energy solutions.