NUCLEAR AND NEW ENERGY ENGINEERING |
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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.
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Keywords
wind energy
offshore wind resource
temporal and spatial characteristics
wind resource assessment
Monin-Obukhov similarity theory
surface aerodynamic roughness
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Issue Date: 15 May 2016
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