Spatiotemporal clustering of near-surface wind speed and identification of potential for low-wind-speed resources in Xinjiang, China (2013–2022)

Engineering notes

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Chinese explanation / 中文解读

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Original abstract

Mastering the intricate spatiotemporal distribution patterns of near-surface wind speed (SWS) holds profound significance for the advancement of regional wind energy resources. To provide theoretical support for the development of low-wind-speed wind power in Xinjiang, this study explored the spatiotemporal characteristics of mean SWS and its possible linkage between large-scale circulation index based on daily 10 m wind speed in Xinjiang during 2013–2022. The potential development areas of low-wind-speed wind resources were explored. The results showed that: (1) The EOF1 in S-mode showed higher values in central and southern parts of northern Xinjiang, and showed negative anomalies in winter, whereas EOF2 displayed the opposite pattern. (2) The principal component 1 (PC1) scores in T-mode in eastern part of southern Xinjiang and eastern Xinjiang changed inversely with that in northern Xinjiang and western part of southern Xinjiang. The PC2 scores in northern and southern parts of northern Xinjiang showed negative anomalies. (3) The analysis identified five sub-regions encompassing the Dabancheng, western part of southern Xinjiang, eastern part of southern Xinjiang and eastern Xinjiang, central and western parts of northern Xinjiang, northern part of northern Xinjiang, respectively. Periods 1-2 and 3-4 primarily captured mean SWS variations during spring/summer and autumn/winter, respectively. All sub-regions presented significant negative correlations between monthly SWS and the SH index. The Arctic Oscillation index had contributed less than one-fifth of the Siberian High index. The comprehensive analysis indicated that the potential area suitable for the development of low-wind-speed wind power was the eastern part of southern Xinjiang and the eastern Xinjiang.

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