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Journal of Tsinghua University(Science and Technology)    2016, Vol. 56 Issue (5) : 522-529     DOI: 10.16511/j.cnki.qhdxxb.2016.25.011
NUCLEAR AND NEW ENERGY ENGINEERING |
Temporal and spatial characteristics of offshore wind resources
FENG Yu1, HE Yan2, ZHU Qihao1, GUO Chen2, FENG Xiaodan2, HUANG Biqing1
1. Department of Automation, Tsinghua University, Beijing 100084, China;
2. Huaneng Renewables Corporation Limited, Beijing 100036, China
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Abstract  Offshore wind energy resources are more abundant than on land. However, sea and land winds have different meteorological elements so offshore wind resource assessments need to take the impact of the temporal and spatial characteristics of the offshore wind resources into consideration. Data from an offshore wind measurement mast was used to study offshore wind distributions at different time scales. The EM (expectation-maximization) algorithm was used to study the differences in offshore wind distributions between day and night, which is normally not considered in traditional wind assessment methods. The spatial characteristics of offshore winds will than analyzing using a machine learning algorithm, Monin-Obukhov similarity theory, and a parameter replacement scheme in discrete calculations and in an ocean surface aerodynamic roughness model. This method efficiently reflects the impact of ocean surface aerodynamic roughness changes on the vertical variations of the wind speed that is not considered in traditional wind shear formula. The results show the temporal and spatial characteristics of the offshore wind resources as a basis for better offshore wind assessments for planning offshore wind farms.
Keywords wind energy      offshore wind resource      temporal and spatial characteristics      wind resource assessment      Monin-Obukhov similarity theory      surface aerodynamic roughness     
ZTFLH:  TK81  
Issue Date: 15 May 2016
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FENG Yu
HE Yan
ZHU Qihao
GUO Chen
FENG Xiaodan
HUANG Biqing
Cite this article:   
FENG Yu,HE Yan,ZHU Qihao, et al. Temporal and spatial characteristics of offshore wind resources[J]. Journal of Tsinghua University(Science and Technology), 2016, 56(5): 522-529.
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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2016.25.011     OR     http://jst.tsinghuajournals.com/EN/Y2016/V56/I5/522
   
   
   
   
   
   
   
   
   
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