Reliability analysis of offshore wind turbines using copula

Weifei Hu, Zhiyu Jiang, Yeqing Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Offshore structures are subject to severe environmental conditions and require high operating and maintenance costs. At the design stage of an offshore structure, it is necessary to perform load analysis and to consider representative environmental conditions characterized by statistical models. However, many available joint distribution models of the environmental parameters can only describe the correlation of these parameters in a very restricted form. The use of simple probabilistic models without correctly addressing their correlation may lead to significant bias in the reliability analysis. Here, the correlation between three offshore environmental parameters including the significant wave height, wave peak period, and mean wind speed is described by copula. The copula density functions and theoretical derivations of copula correlation parameters using actual sea state data are provided for general applications of reliability analysis of offshore structures. Hindcast data of two representative sites are used to fit the best copula. The developed copula-based joint distribution can be used for accurate reliability analysis of offshore structures considering long-term fatigue loads and extreme responses.

Original languageEnglish (US)
Title of host publicationFuels, Combustion, and Material Handling; Combustion Turbines Combined Cycles; Boilers and Heat Recovery Steam Generators; Virtual Plant and Cyber-Physical Systems; Plant Development and Construction; Renewable Energy Systems
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791851395
DOIs
StatePublished - 2018
Externally publishedYes
EventASME 2018 Power Conference, POWER 2018, collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum - Lake Buena Vista, United States
Duration: Jun 24 2018Jun 28 2018

Publication series

NameAmerican Society of Mechanical Engineers, Power Division (Publication) POWER
Volume1

Other

OtherASME 2018 Power Conference, POWER 2018, collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum
Country/TerritoryUnited States
CityLake Buena Vista
Period6/24/186/28/18

Keywords

  • Copula
  • Correlation
  • Offshore Wind Turbines
  • Reliability Analysis

ASJC Scopus subject areas

  • Mechanical Engineering
  • Energy Engineering and Power Technology

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