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计及恶劣天气约束的海上风能波浪能资源分布研究 被引量:3

DISTRIBUTION OF OFFSHORE WIND AND WAVE ENERGY RESOURCES CONSIDERING SEVERE WEATHER CONSTRAINTS
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摘要 基于ERA5和全球海洋波浪再分析资料,统计分析2005—2019年间110°E~130°E、15°N~35°N海域的恶劣天气事件时空分布特征,在剔除恶劣天气时段下,对风能密度、波浪能密度、风能变异系数和波浪能变异系数进行分析。结果表明:2005—2019年间恶劣天气事件整体呈递增趋势,季节性差异大;总体上深远海海域恶劣天气出现时段比近海多,南海北部恶劣天气事件出现时段最多;在剔除恶劣天气时段后,东海深远海存在风能丰富且波浪能较密集的海域,台湾海峡以南近海风能丰富且稳定,但波浪能不密集且不稳定,南海北部近海海域波浪能比深远海更密集且更稳定,这与不剔除恶劣天气时段情况下波浪能分布特征存在较大差异。 Based on ERA5 and global ocean wave reanalysis data,the temporal and spatial distribution characteristics of severe weather events in the sea areas 110°E-130°E and 15°N-35°N from 2005 to 2019 were statistically analyzed.The wind energy density,wave energy density,wind energy variation coefficient and wave energy variation coefficient were analyzed when the severe weather period was excluded.The results show that severe weather events show an overall increasing trend from 2005 to 2019,with large seasonal differences.On the whole,there are more severe weather periods in the deep sea area than that in the offshore area,and the most severe weather events occur in the northern part of the South China Sea.After eliminating bad weather period,there are areas with abundant wind energy and dense wave energy in the far-reaching sea of the East China Sea.The offshore wind of south of Taiwan strait is rich and stable,but wave energy is not intensive and unstable.Wave energy in the northern offshore waters of the South China Sea is more dense and stable than in the deep seas,it is quite different from the distribution characteristics of wave energy without eliminating the period of severe weather.
作者 张艺三 胡松 王芳 Zhang Yisan;Hu Song;Wang Fang(College of Marine Science,Shanghai Ocean University,Shanghai 201306,China;Shanghai Engineering Research Center for Marine Renewable Energy,Shanghai Ocean University,Shanghai 201306,China)
出处 《太阳能学报》 EI CAS CSCD 北大核心 2022年第12期200-205,共6页 Acta Energiae Solaris Sinica
基金 上海市科学技术委员会资助项目(19DZ2254800)。
关键词 海上风电场 恶劣天气 风能资源评估 波浪能资源评估 offshore wind farm severe weather wind energy resource assessment wave energy resource assessment
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