SEM-REV offshore energy site wind-wave bivariate statistics by hindcast

Oleg Gaidai, Xiaosen Xu, Junlei Wang, Renchuan Ye, Yong Cheng and Oleh Karpa

Renewable Energy, 2020, vol. 156, issue C, 689-695

Abstract: Accurate estimation of extreme wind and wave conditions is critical for ocean engineering activities and applications. Various renewable energy offshore structures, particularly floating wind turbines are designed to sustain extreme wind and wave induced loads. Statistics of wind speeds and wave heights is the key input for structural safety and reliability study. Consequently, development of novel robust methods, able to predict extreme wind-wave conditions is essential.

Keywords: Wave height statistics; Offshore wind; SEM-REV energy Site; Extreme value statistics; Bivariate statistics (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:156:y:2020:i:c:p:689-695

DOI: 10.1016/j.renene.2020.04.113

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