APPLICABILITY OF FIVE SETS OF REANALYSIS DATA IN WIND RESOURCE ASSESSMEANT IN ALTAY PREFECTURE

Chen Zhuo; Guo Junhong; Kang Pengpeng; Wang Jinming; Liu Wenjiao; Li Wei

doi:10.19912/j.0254-0096.tynxb.2021-1460

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (4) : 60-66. DOI: 10.19912/j.0254-0096.tynxb.2021-1460

APPLICABILITY OF FIVE SETS OF REANALYSIS DATA IN WIND RESOURCE ASSESSMEANT IN ALTAY PREFECTURE

Chen Zhuo¹, Guo Junhong¹, Kang Pengpeng², Wang Jinming³, Liu Wenjiao¹, Li Wei¹

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Abstract

In this paper, the simulation performance of five sets of reanalysis data of wind resources in Altay prefecture is evaluated, and the applicability of the reanalysis data to correct representative year of this region was also analyzed. The results show that different reanalysis data have different spatial simulation results in Altay prefecture, and CFSv2 and ERA5 data with high resolution have more advantages in spatial simulation, while the JRA55 and NCEP-DOE models have obvious overestimation. In terms of seasonal wind speed, except NCEP-DOE, the other sets of reanalysis data can simulate the seasonal characteristics of wind speed in Altay prefecture, and the simulation in winter is better than that in other seasons. In addition, a wind farm in Altay is taken as an example, and the wind tower data are corrected on a representative year by taking the nearby meteorological station and four sets of reanalysis data as long-term observation stations. The revised results show that ERA5 and CFSv2 data have better correlation with wind tower data than meteorological station. It is feasible to use ERA5 and CFSv2 data as long-term station data to correct representative year of wind with measurement data in Altay prefecture when suitable meteorological station data are lacking.

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wind farm / wind speed / resource assessment / reanalysis data

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Chen Zhuo, Guo Junhong, Kang Pengpeng, Wang Jinming, Liu Wenjiao, Li Wei. APPLICABILITY OF FIVE SETS OF REANALYSIS DATA IN WIND RESOURCE ASSESSMEANT IN ALTAY PREFECTURE[J]. Acta Energiae Solaris Sinica. 2023, 44(4): 60-66 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1460

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