HUBEI AGRICULTURAL SCIENCES ›› 2021, Vol. 60 ›› Issue (24): 70-75.doi: 10.14088/j.cnki.issn0439-8114.2021.24.016

• Resource & Environment • Previous Articles     Next Articles

Application of ERA5 reanalysis data in wind energy resources

HE Li-wei1,2, SUN Peng-jie1,2, ZENG Qi1   

  1. 1. Hubei Meteorological Service Center,Wuhan 430074,China;
    2. Hubei Meteorological Energy Technology Development Center,Wuhan 430074,China
  • Received:2021-02-18 Online:2021-12-25 Published:2022-01-04

Abstract: According to the geomorphic characteristics of Hubei province, it is divided into eight sub regions. Based on the monthly average wind speed of 10 m above the ground in 76 meteorological stations and ERA5 reanalysis data in the past 20 years(2000—2019), the correlation between them is analyzed. Combined with the wind speed value of 70 m height of 110 wind measuring towers in the province, the wind speed at 70 m height derived from 10 m wind speed, longitude and latitude and altitude of meteorological stations is constructed by using multiple regression method. The results show that the reanalysis data can well reflect the spatial distribution of the wind speed trend in the whole province, with high in the middle and low in the east and west; The wind speed of the reanalysis data is larger than that of the meteorological station, with an average of about 0.8 m/s; The calculation results show that the Tongbai mountain and Dahongshan area in the northeast of Hubei province, the Nanzhang-Jingmen area in the central part, the Dabie mountain and Mufu the high altitude area of the mountain is the area with better wind resources; The test results show that the overall calculation results are small, especially in the western Hubei mountain area. The calculation results of VIII area in Jianghan plain are better, especially in Tianmen area.

Key words: reanalysis data, wind speed calculation, correlation analysis, multiple regression

CLC Number: