针对中国东南沿海丰富的风能与波浪能资源长期遭受台风侵害的问题,考虑海洋环境中风、波浪与海流的耦合性,提出合理分析台风环境下风能与波浪能相互作用的方法尤为重要。基于模型耦合器（MCT）二次开发,提出台风过境全过程考虑海洋运动的台风-浪-流（WRF-SWAN-FVCOM）模拟方法,再现了台风“莫兰蒂”过境全过程台风-浪-流实时耦合模拟,对比分析台风和台风-海洋运动耦合时台湾海峡台风过境风能、波浪能时空分布规律、差异性与变异性,揭示台风环境中海洋运动作用对台湾海峡风能波浪能联合相关性的影响规律。结果表明：考虑海洋运动最大稳定风速模拟结果准确率提高11.5%;考虑海洋运动风浪能更加稳定,风功率密度提高34.19%,波功率密度提高42.27%;考虑海洋运动提高了台湾海峡区域风浪联合相关性,受台风影响前应充分进行风浪联合发电,受台风影响后应充分发挥波浪能稳定性。
Abstract
Given the abundant wind and wave energy resources along the southeast coast of China, considering the coupling between wind, waves and currents in the marine environment, and proposing a reasonable method for analyze the interaction between wind energy and wave energy in typhoon conditions is particularly important. Based on the secondary development of MCT coupler, the WRF-SWAN-FVCOM simulation method considering ocean movement during the whole process of typhoon transit is proposed in this paper, and the real-time coupling simulation of wind-wave-current during the whole process of Typhoon "Meranti" transit is reproduced. The spatio-temporal distribution, difference and variability of wind energy and wave energy in the Taiwan Strait during typhoon and typhoon-ocean movement coupling are compared and analyzed, and the influence of ocean movement on the joint correlation of wind energy and wave energy in the Taiwan Strait is revealed. The results show that considering ocean motion, the simulation results are more accurate, and the accuracy of maximum stable wind speed is improved by 11.5%. Considering the ocean movement, the wind and wave can be more stable, and the wind power density increases by 34.19% and wave power density increases by 42.27%. Considering that the ocean movement improves the joint correlation of wind and wave in the Taiwan Strait region, the wind and wave combined power generation should be fully carried out before the typhoon, and the stability of wave energy should be fully exerted after the typhoon.
关键词
风能 /
波浪能 /
相关性 /
台风 /
海洋运动
Key words
wind power /
wave power /
correlation /
typhoon /
ocean movement
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基金
国家自然科学基金（52321165649; 52078251; 52478530）; 江苏省自然科学基金（BK20211518）
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