Joint probability design of marine environmental elements for wind turbines. (20th July 2017)

• Record Type: Journal Article
• Authors: Dong, Sheng; Chen, Chengchao; Tao, Shanshan
• Is Part Of: International journal of hydrogen energy. Volume 42:Number 29(2017)
• Page Start: 18595
• Page End: 18601
• Publication Date: 2017-07-20
• Subjects: Maximum entropy -- Copula -- Marine environment -- Wind turbine -- Joint probability design; Hydrogen as fuel -- Periodicals; Hydrogène (Combustible) -- Périodiques; Hydrogen as fuel; Periodicals; 665.81
• DOI: 10.1016/j.ijhydene.2017.04.154
• Languages: English
• ISSNs: 0360-3199

Abstract

Abstract: Decommission platforms can be used as the foundation of offshore wind turbines. In order to reduce the costs of wind power, the joint probability method is applied in the joint design of marine environmental elements. Based on copulas and univariate maximum entropy margins, multivariate maximum entropy distributions are constructed. Sample data of annual maximum significant wave height and corresponding wind speed and current velocity at Point 2 in Lianyungang Harbour of China is applied to testify the efficiency of trivariate maximum entropy distributions. The marginal fittings of univariate maximum entropy distributions and the trivariate data fitting based on normal copula fit the data well. The method of conditional probability can present a joint design of significant wave height and corresponding wind speed and current velocity. Highlights: Trivariate maximum entropy distributions based on copulas are proposed. Extreme significant wave height, wind speed and current velocity are considered. The method of conditional probability is applied to obtain the joint design values. Multivariate sample is applied to testify the efficiency of joint probability models.