July 15, 2025Open Access

Surrogate-Based Design Optimization of Floating Wind Turbines in Time Domain

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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.

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Implication

Surrogate-based design optimization improves levelized cost of energy for floating wind turbines, suggesting better cost efficiency in marine environments.

Cite This Study

Yildirim et al. (2025) studied this question.

synapsesocial.com/papers/689a02bce6551bb0af8cc7a0 https://doi.org/10.5194/wes-2025-115

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Implication

Surrogate-based design optimization improves levelized cost of energy for floating wind turbines, suggesting better cost efficiency in marine environments.

Surrogate-Based Design Optimization of Floating Wind Turbines in Time Domain

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Discussion

Implication

Cite This Study

Surrogate-Based Design Optimization of Floating Wind Turbines in Time Domain

Key Points

Discussion

Implication

Cite This Study