A new method for predicting the extreme dynamic responses of wave energy converters. Issue 3 (2nd September 2021)

• Record Type: Journal Article
• Authors: Wang, Yingguang
• Is Part Of: Proceedings of ICE. Volume 174:Issue 3(2021)
• Page Start: 81
• Page End: 90
• Publication Date: 2021-09-02
• Subjects: offshore engineering -- renewable energy -- statistical analysis; Ocean engineering -- Periodicals; Coastal engineering -- Periodicals; 620.4162
• DOI: 10.1680/jmaen.2020.38
• Languages: English
• ISSNs: 1741-7597

Abstract

Abstract : The copula-based environmental contour approach in the existing literature is only 'partially' non-parametric. Theoretically, the derived environmental contours from this 'non-parametric' copula-based approach will still be somewhat rigid. Optimally, the environmental contours for a specific ocean site should be developed based on a joint model of the environmental variables and the joint model should be directly estimated by a two-dimensional non-parametric approach. In this study, the use of a bivariate kernel density estimation approach for generating environmental contours is proposed. The advantages of the proposed new method were validated using two calculation examples based on measured wave data at two offshore locations. It was found, in a wave energy converter (WEC) application example, that the design value will increase by 23.4% if the proposed method is used in comparison to using the technique based on the non-parametric Gumbel copula environmental contour method. It was also concluded that the design value will increase by 15.98% if the proposed method is used in comparison to using the technique based on the non-parametric Clayton copula environmental contour method. The calculation results in this paper clearly demonstrate that the proposed new method can be used to effectively forecast the extreme dynamic responses of WECs.