董胜, 林逸凡. 固定测站的风向风速联合分布研究[J]. 工程力学, 2016, 33(6): 234-241. DOI: 10.6052/j.issn.1000-4750.2014.11.1002
引用本文: 董胜, 林逸凡. 固定测站的风向风速联合分布研究[J]. 工程力学, 2016, 33(6): 234-241. DOI: 10.6052/j.issn.1000-4750.2014.11.1002
DONG Sheng, LIN Yi-fan. STUDY OF JOINT PROBABILISTIC DISTRIBUTION OF WIND SPEED AND DIRECTION AT A FIXED OBSERVATION STATION[J]. Engineering Mechanics, 2016, 33(6): 234-241. DOI: 10.6052/j.issn.1000-4750.2014.11.1002
Citation: DONG Sheng, LIN Yi-fan. STUDY OF JOINT PROBABILISTIC DISTRIBUTION OF WIND SPEED AND DIRECTION AT A FIXED OBSERVATION STATION[J]. Engineering Mechanics, 2016, 33(6): 234-241. DOI: 10.6052/j.issn.1000-4750.2014.11.1002

固定测站的风向风速联合分布研究

STUDY OF JOINT PROBABILISTIC DISTRIBUTION OF WIND SPEED AND DIRECTION AT A FIXED OBSERVATION STATION

  • 摘要: 风速与风向联合分布在工程规划、结构设计以及风能资源评价等方面应用广泛。风玫瑰图是目前分析风要素常用的手段,不足之处在于该图只能表示特定16个方位各级风力的频率分布情况。基于连续型角度-线性联合分布模型,该文提出了根据风玫瑰图建立联合分布模型的新方法,并绘制了一种新型且在风速及风向上均连续的风频分布图。以辽东湾长兴岛站的风测数据为例,建立风速风向联合分布模型,绘制风速风向联合分布图。结果表明:1)统计模型可靠性高,与原始风向风速分布相关性极强;2)联合分布模型相比风向离散的风速分布模型,可以更好地反映邻近方位之间风速分布的相互影响;3)新的联合分布图给出了全方向的风频理论分布,克服了传统风玫瑰图中仅有16个风向的不足。

     

    Abstract: Joint distribution of wind speed and direction is widely used in project planning, structural design and assessment of wind energy. Wind roses, a common measure to analyses wind situation, reflect frequency distributions of only 16 wind directions at different wind speed levels. Based on a continuous angular-linear distribution, an approach was proposed to establish the joint probability distribution of wind speed and direction by using the data of wind rose. An original graph reflecting wind frequency with wind speed and direction was also presented. The proposed approach was applied to construct the joint probabilistic distribution of wind speed and direction at Changxingdao Observation Station in Liaodong Bay. The contours of joint distribution for wind speed and direction were illustrated. Calculation results show that:1) The presented statistical model has a higher reliability and shows a strong correlation with their original wind roses; 2) Compared with the model in which the distribution of wind direction is discrete, the novel model offers a more reliable modeling of wind speed distribution in adjacent directions; 3) The new graph of joint distribution reflects much more accurate information of the wind frequency distribution without the restrict of directions, which will make up the shortage of traditional wind roses.

     

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