A synergistic optimization of layout and hub height for enhanced energy output in offshore wind farms

Abstract

Optimization of wind farm layout is crucial for maximizing energy output and economically smooth operation. This study presents a novel approach that integrates a wind theory wake model with a genetic algorithm to optimize the locations and hub heights of wind turbines under varying wind directions by focusing on power generation as objective function. The findings indicate that, regardless of the optimization objective, the wind power output of the farm increases, and power costs decrease when compared to baseline conditions. Furthermore, the study reveals that optimizing turbine locations alone or in conjunction with hub height yields comparable improvements, surpassing the benefits of optimizing hub height alone. This research provides valuable insights for the design and operation of efficient wind energy systems, emphasizing the importance of considering wind conditions in layout optimization strategies.