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On wind speed pattern and energy potential in China
Liu, Fa1; Sun, Fubao1,2,3; Liu, Wenbin1; Wang, Tingting1; Wang, Hong1; Wang, Xunming1; Lim, Wee Ho1
2019-02-15
Source PublicationAPPLIED ENERGY
ISSN0306-2619
Volume236Pages:867-876
Corresponding AuthorSun, Fubao(sunfb@igsnrr.ac.cn)
AbstractTo achieve sustainable socioeconomic development as part of the global community, China has set ambitious goals for developing wind power within its national energy security framework. Existing wind power density maps in China present some knowledge gaps (e.g., lack of spatiotemporal resolution/characteristics and estimates at the height of a typical wind turbine). To address them, we combine the advantages of large network of wind speed observations (2430 meteorological stations; 2006-2015) and the grid-based method in order to create the spatiotemporal distributions of wind resource at the hub height. We found that the spatiotemporal variability of wind resources in China is apparent. Nationally, the annual mean wind speed and wind power density are 4.09 m s(-1) and 164.1 W m(-2), respectively. Spatially, Northeast China has the highest wind potential with annual mean wind speed and power density 4.64 m s(-1) and 204 W m(-2), while South China has the lowest wind potential annual mean wind speed and power density 3.55 m s(-1) and 97.4 W m(-2). Temporally, the wind resources over the entire China are higher in the cold season (spring and winter with peaks in April) than those in the warm season (summer and autumn with bottoms in August). Specifically, the wind power output in "Three North" region (including Northeast China, North China and Northwest China) in the cold season is 1.4 times higher than that in the warm season. Some coastal regions in East China have relatively high wind power density (> 500 W m(-2)) and small seasonal variations. These findings should help decision-makers to identify the areas suitable for utilizing wind energy, and optimizing power generation and transmission across the grid for better system performance.
KeywordWind power density Wind speed Seasonal variation Spatial distribution China
DOI10.1016/j.apenergy.2018.12.056
WOS KeywordDISTRICT-HEATING NETWORK ; RENEWABLE ENERGY ; SPATIAL INTERPOLATION ; THERMAL INERTIA ; POWER ; ELECTRICITY ; GENERATION ; RESOURCE ; INTEGRATION ; REGION
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFC0401401] ; National Key Research and Development Program of China[2016YFA0602402] ; Key Research Program of the Chinese Academy of Sciences[ZDRW-ZS-2017-3-1] ; Chinese Academy of Sciences (CAS) Pioneer Hundred Talents Program ; National Natural Science Foundation of China[41601035] ; China Postdoctoral Science Foundation[2017 M620888]
Funding OrganizationNational Key Research and Development Program of China ; Key Research Program of the Chinese Academy of Sciences ; Chinese Academy of Sciences (CAS) Pioneer Hundred Talents Program ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Chemical
WOS IDWOS:000458712500067
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49400
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSun, Fubao
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Hexi Univ, Ecol Inst Qilian Mt, Zhangye 734000, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100039, Peoples R China
Recommended Citation
GB/T 7714
Liu, Fa,Sun, Fubao,Liu, Wenbin,et al. On wind speed pattern and energy potential in China[J]. APPLIED ENERGY,2019,236:867-876.
APA Liu, Fa.,Sun, Fubao.,Liu, Wenbin.,Wang, Tingting.,Wang, Hong.,...&Lim, Wee Ho.(2019).On wind speed pattern and energy potential in China.APPLIED ENERGY,236,867-876.
MLA Liu, Fa,et al."On wind speed pattern and energy potential in China".APPLIED ENERGY 236(2019):867-876.
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