Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
| one publication added to basket [307942] |
Asymmetric copula-based distribution models for met-ocean data in offshore wind engineering applications
Fazeres-Ferradosa, T.; Taveira-Pinto, F.; Vanem, E.; Reis, M.T.; das Neves, L. (2018). Asymmetric copula-based distribution models for met-ocean data in offshore wind engineering applications. Wind Engineering 42(4): 304-334. https://dx.doi.org/10.1177/0309524X18777323
In: Wind Engineering. SAGE PUBLICATIONS LTD: London. ISSN 0309-524X, meer
|  |
| Trefwoord |
|
| Author keywords |
Offshore wind; significant wave height; mean wave period; copula;extra-parametrization; joint statistical model; Cramer-von Mises;asymmetry |
| Auteurs | | Top |
- Fazeres-Ferradosa, T.
- Taveira-Pinto, F.
- Vanem, E.
|
- Reis, M.T.
- das Neves, L., meer
|
|
| Abstract |
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. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
