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

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  • Wang, Yingguang

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.

Suggested Citation

  • Wang, Yingguang, 2020. "A novel environmental contour method for predicting long-term extreme wave conditions," Renewable Energy, Elsevier, vol. 162(C), pages 926-933.
    • Handle: RePEc:eee:renene:v:162:y:2020:i:c:p:926-933
    DOI: 10.1016/j.renene.2020.08.112
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    References listed on IDEAS

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    1. Wang, Yingguang, 2019. "Comparison of a Lagrangian and a Gaussian model for power output predictions in a random sea," Renewable Energy, Elsevier, vol. 134(C), pages 426-435.
    2. Wang, Yingguang, 2020. "Predicting absorbed power of a wave energy converter in a nonlinear mixed sea," Renewable Energy, Elsevier, vol. 153(C), pages 362-374.
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