Surrogate-based design optimization improves levelized cost of energy for floating wind turbines, suggesting better cost efficiency in marine environments.
Key Points
Surrogate-based optimization effectively reduces the computational cost of floating wind turbine design.
The approach integrates high-fidelity aero-hydro-elastic simulations to capture dynamic system responses efficiently.
Optimization targets buoyancy column diameter and floater radius to minimize the levelized cost of energy.
The framework demonstrates a 3.7% reduction in LCOE while satisfying critical structural limit state constraints.