Assessment of Seasonal Wind Energy at Zhifudao Observation Station Based on Joint Wind Speed and Wind Direction

Abstract

The joint distribution of wind speed and direction is of great importance to the assessment and layout of wind farm, however it is constructed under the condition that the meteorological data of the regime under research is abundant. Based on the continuous angular-linear distribution model, an approach is proposed in this paper to establish the joint probabilistic distribution of wind speed and direction just by using the data of wind rose. The method is taken to construct the seasonal statistical models of wind regime at Zhifudao Observation Station located in Yantai, and in order to assess the fitness of the joint probabilistic models to the original wind roses, two kinds of coefficients of determination are calculated. The results show that the presented statistical models have high reliability and strong correlation with their original wind roses. After the feasibility of the method is certified, the statistical models are used to survey the wind power pattern with wind power roses of different seasons. Furthermore, the wind power output of a 2 MW vertical-axis wind turbine assuming to assigned here is predicted.