Offshore renewable energy site correlated wind-wave statistics

• Published in: Probabilistic engineering mechanics Vol. 68; p. 103207
• Main Authors: Gaidai, Oleg, Wang, Fang, Wu, Yu, Xing, Yihan, Medina, Ausberto Rivera, Wang, Junlei
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.04.2022; Elsevier Science Ltd
• Subjects: Bivariate analysis; Correlation analysis; Datasets; Estimating techniques; Extreme value statistics; Extreme values; Offshore; Offshore engineering; Offshore wind speed; Propagation; Random processes; Remote sensing; Renewable energy environment; SEM-REV; TOPEX; Turbines; Wave height; Wave height statistics; Wave power; Weather stations; Wind power; Wind speed; Wind waves; Extreme value statistics; Renewable energy environment; Wave height statistics; Offshore wind speed; SEM-REV

Offshore engineering often requires estimation of extreme wind speeds and wave heights at offshore in-situ locations. This paper presents practical approach to study extreme wind speed and wave height statistics, based on available in-situ hourly wind speed and wave height maxima. The wind and wave...