Study of wind speed and direction at Yangshan Port

Fei Xu, Xianhua Wu and Ruihua Zhang

Renewable Energy, 2025, vol. 247, issue C

Abstract: This study focuses on Yangshan Port as a case study, employing a two-parameter Weibull model to simulate wind speed and a mixed von Mises model to characterize wind direction. The findings demonstrate that the sixth-order mixed von Mises model provides an accurate representation of the wind direction distribution in the region. Furthermore, the bivariate joint probability density function of wind speed and direction is successfully derived using the Gumbel Copula function. Additionally, the wind energy density at Yangshan Port is evaluated under the dependency structures of three distinct Copula functions, with the results consistently falling within the range of [244.049 W/m2, 244.541 W/m2]. These outcomes offer a comprehensive understanding of the wind energy potential and distribution patterns at the study site.

Keywords: Weibull model; von Mises model; Copula function; Bivariate joint distribution of wind speed and direction (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:247:y:2025:i:c:s0960148125006445

DOI: 10.1016/j.renene.2025.122982

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