吴国伟,武贺,丁杰,张松,白杨,姜波,张榕.海洋温差能时空分布变异特征定量评价方法研究[J].海洋通报,2018,(5):548-553
海洋温差能时空分布变异特征定量评价方法研究
Quantitative evaluation for spatial and temporal variation in ocean temperature differences
投稿时间:2018-01-31  修订日期:2018-04-19
DOI:10.11840/j.issn.1001-6392.2018.05.008
中文关键词:  海洋温差能  信息熵  评估  方法
英文关键词:ocean temperature differences  entropy  assessment  method
基金项目:海洋可再生能源资金项目 (GHME2017ZC01;GHME2016ZC01;GHME2016ZC04);国家自然科学基金 (5171101175);天津市自然科学基金 (16JCYBJC20600);国家海洋局海洋环境信息保障技术重点实验室基金 (基于 CORA 资料的南海温差能资源评估)
作者单位E-mail
吴国伟 国家海洋技术中心天津 300112 wuguowei_89@163.com 
武贺 国家海洋技术中心天津 300113 wh_crane@163.com 
丁杰 国家海洋技术中心天津 300114  
张松 国家海洋技术中心天津 300115  
白杨 国家海洋技术中心天津 300116  
姜波 国家海洋技术中心天津 300117  
张榕 国家海洋技术中心天津 300118  
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中文摘要:
      海洋温差能资源时空分布特征分析和总量估算是其开发利用及选址、设计的基础工作。本文通过研究海洋温度场的变化特征,结合信息熵理论,应用高斯分布函数,建立了一种新的海洋温差能资源评估算法,即海洋温差熵 (oceantemperature differences entropy, OTDE) 算法,提出了表征温差时空变异特征的海洋温差熵作为评估参数,并结合中国南海海域开展了温差在不同时间尺度和空间范围上不确定性变化的定量研究。结果表明:中国南海榆亚暗沙、黄岩岛附近海域的海洋温差时空分布较稳定、资源可预测性强,是海洋温差能开发建址的理想区域,可为今后南海温差能资源评估及电站选址提供技术参考。
英文摘要:
      Both the analysis of spatial and temporal variation and the resource assessment are the main basis in exploitation and utilization of ocean thermal energy and engineering design. Based on the theory of Shannon entropy and Gaussian distribution function, a new algorithm, named ocean temperature differences to entropy (OTDE) method for ocean thermal energy assessment and its site selection, was proposed in the present paper after analyzing the spatial and temporal variation of marine temperature field. At the same time, an evaluation parameter, named ocean temperature differences entropy, was also proposed to characterize the spatial and temporal variation of the temperature differences. And the OTDE algorithm was applied to extract the candidate sites that were suitable for ocean thermal energy conversion (OTEC) power plants in the South China Sea. The results showed that the ocean temperature differences resources near the Investigator Shoal and Scarborough Shoal were more stable and predictable, which are considered as the state-of-the-art regions for building OTEC power plants. Thus, the OTDE algorithm could be thought as an effective tool for ocean thermal energy resource assessment and the OTEC power plant selection.
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