Asymmetric copula-based distribution models for met-ocean data in offshore wind engineering applications

• Type: Article in International Scientific Journal
• Date: 2018

Authors

Tiago Ferradosa (Author) FEUP; Francisco Taveira Pinto (Author) FEUP; Vanem, E (Author) Other; Reis, MT (Author) Other; Luciana das Neves (Author) FEUP

Journal

Title: Wind Engineering

Vol. 42

Pages: 304-334

ISSN: 0309-524X

Publisher: SAGE

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 53 Citations

Other information

Authenticus ID: P-00N-ZQ7

DOI: 10.1177/0309524x18777323

Abstract (EN): Joint statistical models for long-term wave climate are a key aspect of offshore wind engineering design. However, to find a joint model for sea-state characteristics is often difficult due to the complex nature of the wave climate and the physical constraints of sea-states phenomena. The available records of wave heights and periods are often very asymmetric in their nature. This article presents a copula-based approach to obtain the joint cumulative distribution function of the significant wave heights and the up-crossing mean period. This study is based on 124-month hindcast data concerning Horns Rev 3 offshore wind farm. The extra-parametrization technique of symmetric copulas is implemented to account for the asymmetry present in the data. The analysis of the total sea, the wind-sea and primary swell components is performed separately. The results show that the extra-parametrization technique with pairwise copulas consistently provided a better goodness-of-fit when compared to symmetric copulas. Moreover, it is demonstrated that the separation of the total sea into its components does not always improve the extra-parametrized copula's performance. Furthermore, this article also discusses copulas application to offshore wind engineering.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 31