A novel environmental contour method for predicting long-term extreme wave conditions

Yingguang Wang

Renewable Energy, 2020, vol. 162, issue C, 926-933

Abstract: This paper proposes a novel environmental contour line method based on measured ocean wave data for predicting the long-term extreme wave conditions. For implementing the proposed environmental contour line method, a bivariate kernel density estimation approach is used along with over-smoothed bandwidth selection. The environmental contours obtained using the proposed method have been compared with those obtained using the Gaussian copula (Nataf transformation) method and another parameterized model, and the effectiveness and superiority of the proposed method have been clearly substantiated. The research results in this paper demonstrate that the proposed method can be utilized as an effective tool for predicting the long-term extreme wave conditions.

Keywords: Environmental contours; Bivariate kernel density estimation; Over-smoothed bandwidth selection; Gaussian copula; Nataf transformation (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148120313574
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:162:y:2020:i:c:p:926-933

DOI: 10.1016/j.renene.2020.08.112

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().