期刊
RENEWABLE ENERGY
卷 78, 期 -, 页码 538-549出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2015.01.027
关键词
Trivariate maximum entropy distribution; Significant wave height; Wind speed; Relative direction
资金
- National Natural Science Foundation of China [51279186, 51479183]
- National Program on Key Basic Research Project [2011CB013704]
- Shandong Province Natural Science Foundation, China [ZR2014EEQ030]
- Fundamental Research Funds for the Central Universities [201413003]
- 111 Project [B14028]
- Portuguese Foundation for Science and Technology
A trivariate maximum entropy distribution of significant wave height wind speed and the relative direction is proposed here. In this joint distribution, all the marginal variables follow modified maximum entropy distributions, and they are combined by a correlation coefficient matrix based on the Nataf transformation. The methods of single extreme factors and of conditional probability are presented for the joint design of trivariate random variables. The corresponding sampling data about significant wave heights, wind speeds and the relative directions from a location in the North Atlantic is applied for statistical analysis, and the results show that the trivariate maximum entropy distribution is sufficiently good to fit the data, and method of conditional probability can reduce the design values efficiently. (C) 2015 Elsevier Ltd. All rights reserved.
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