New & Renewable Energy (신재생에너지)

Korean Society for New and Renewable Energy (한국신·재생에너지학회)
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Wave Analysis Method for Offshore Wind Power Design Suitable for Suitable for Ulsan Area

  • Woobeom Han (Green Energy Research Team, Korea Marine Equipment Research Institute) ;
  • Kanghee Lee (Green Energy Research Team, Korea Marine Equipment Research Institute) ;
  • Seungjae Lee (Division of Naval Architecture and Ocean Systems Engineering, Korea Maritime and Ocean University)
  • Received : 2024.03.19
  • Accepted : 2024.06.03
  • Published : 2024.06.25
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Abstract

Various loads induced by marine environmental conditions, such as waves, currents, and wind, are crucial for the operation and viability of offshore wind power (OWP) systems. In particular, waves have a significant impact on the stress and fatigue load of offshore structures, and highly reliable design parameters should be derived through extreme value analysis (EVA) techniques. In this study, extreme wave analyses were conducted with various Weibull distribution models to determine the reliable design parameters of an OWP system suitable for the Ulsan area. Forty-three years of long-term hindcast data generated by a numerical wave model were adopted as the analyses data, and the least-squares method was used to estimate the parameters of the distribution function for EVA. The inverse first-order reliability method was employed as the EVA technique. The obtained results were compared among themselves under the assumption that the marginal probability distributions were 2p, 3p, and exponentiated Weibull distributions.

Keywords

Acknowledgement

This work was supported by by the Ministry of Trade, Industry and Energy, (MOTIE) and the Korea Energy Technology Evaluation and Planning (KETEP) [Grant Number: 20228520020020].

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