| 基于海浪再分析数据的波浪能资源分析 |
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| 引用本文： | 王春晓,于华明,李松霖,关皓,葛晶晶.基于海浪再分析数据的波浪能资源分析[J].太阳能学报,2022,43(9):430-436. |
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| 作者姓名： | 王春晓 于华明 李松霖 关皓 葛晶晶 |
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| 作者单位： | 1.中国海洋大学海洋与大气学院,青岛 266100;2.中国海洋大学三亚海洋研究院,三亚 572024;3.青岛海洋科学与技术试点国家实验室,青岛 266000;4.61741部队,北京 100094;5.31110部队,南京 210016 |
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| 基金项目： | 国家重点基础研究发展计划（2018YFB1501901; 2018YFB1502801） |
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| 摘 要： | 基于同化了30 a卫星高度计有效波高的全球高分辨率海浪再分析数据,该文详细分析波浪能分布特征,针对海浪的可开发性,提出一种新的波浪能资源选址评估方法,并利用该评估方法对全球和中国近海的波浪能进行区划。主要结论有：波浪能最为丰富处位于西风带海域,约占全球总波浪能的67%;其中,印度洋西风带尤甚,平均能流密度达90 kW/m,西风带近岸海域波浪能可利用程度较高;中国周边海域波浪能资源相对匮乏,但台湾岛东南部、琉球群岛以及东沙群岛附近波浪能资源较为丰富,可利用程度较高,平均能流密度最高约为11 kW/m,该研究可为波浪能发展规划与开发利用提供参考。
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| 关 键 词： | 海浪 波浪能 资源评估 区划 再分析数据 |
| 收稿时间： | 2020-12-21 |
WAVE ENERGY RESOURCE VALUATION BASED ON SEA WAVE REANALYSIS DATA |
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| Wang Chunxiao,Yu Huaming,Li Songlin,Guan Hao,Ge Jingjing.WAVE ENERGY RESOURCE VALUATION BASED ON SEA WAVE REANALYSIS DATA[J].Acta Energiae Solaris Sinica,2022,43(9):430-436. |
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| Authors: | Wang Chunxiao Yu Huaming Li Songlin Guan Hao Ge Jingjing |
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| Affiliation: | 1. College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China;2. Sanya Institute of Ocean Research, Ocean University of China, Sanya 572024, China;3. Pilot National Laboratory for Marine Science and Technology, Qingdao 266000, China;4. PLA Troop 61741, Beijing 100094, China;5. PLA Troop 31110, Nanjing 210016, China |
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| Abstract: | Based on the global high-resolution wave reanalysis data that has assimilated the significant wave height of the satellite altimeters over the past 30 years, the wave energy distribution characteristics are analyzed in detail. Aiming at the developability of ocean waves, a new method for location evaluation of wave energy resources is proposed and use this evaluation method to divide the wave energy of the global and offshore China. The main conclusions are as follows： westerlies have the most abundant wave energy resources, accounting for 67% of the total global wave energy resources. Among them, the coastal wave energy resources are most abundant in the Indian Ocean westerlies, with an average wave power density of 90 kW/m, and the extent of wave energy utilization in the coastal westerlies are high. The wave energy of the China adjacent seas is relatively scarce, but the southeastern part of Taiwan Island, the Ryukyu Islands and the Dongsha Islands are slightly high in wave energy resources and have a high degree of availability, with an average wave power density of up to 11 kW/m. This research can provide reference for wave energy development planning and utilization. |
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| Keywords: | wave wave energy resource valuation regional planning reanalysis data |
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