Sensitivity Analyses of Dominant Design Variables for Semi-Submersible Type Substructure of a 15MW Floating Offshore Wind Turbine

Abstract This study classifies semi-submersible floats into center column and side column types, analyzing kinematic response differences based on key design variables. Using the IEA 15 MW reference model, draft, circumradius, main column diameter, and pontoon breadth were set as variables. A Python-based automatic modeler generated 220 analytical models per type for frequency response analysis. Heave natural periods were derived, and long-term values of maximum pitch angle and RNA acceleration were obtained for a 20-year recurrence period. Greater draft reduced long-term RNA acceleration and pitch angle for both types. The side column type exhibited significantly higher long-term RNA acceleration, while the center column type had a greater long-term pitch angle. Among design variables, circumradius had the most significant influence. These findings will support a float geometry optimization methodology under development, enhancing floating offshore wind turbine performance and stability.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1115/omae2025-156931
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
0.00

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article

Sensitivity Analyses of Dominant Design Variables for Semi-Submersible Type Substructure of a 15MW Floating Offshore Wind Turbine

Joonmo Choung, S. Lee
Probabilistic and Robust Engineering Design
article

Sensitivity Analyses of Dominant Design Variables for Semi-Submersible Type Substructure of a 15MW Floating Offshore Wind Turbine

Joonmo Choung, S. Lee
article en

Abstract

Abstract This study classifies semi-submersible floats into center column and side column types, analyzing kinematic response differences based on key design variables. Using the IEA 15 MW reference model, draft, circumradius, main column diameter, and pontoon breadth were set as variables. A Python-based automatic modeler generated 220 analytical models per type for frequency response analysis. Heave natural periods were derived, and long-term values of maximum pitch angle and RNA acceleration were obtained for a 20-year recurrence period. Greater draft reduced long-term RNA acceleration and pitch angle for both types. The side column type exhibited significantly higher long-term RNA acceleration, while the center column type had a greater long-term pitch angle. Among design variables, circumradius had the most significant influence. These findings will support a float geometry optimization methodology under development, enhancing floating offshore wind turbine performance and stability.

Inha University (KR)
Ministry of Trade, Industry and Energy, Ministry of Oceans and Fisheries, Korea Institute of Marine Science and Technology promotion, Korea Institute of Energy Technology Evaluation and Planning
Openalex Percentile: Top 79%
Probabilistic and Robust Engineering Design
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