中国南海海洋牧场的波浪能资源评估

万勇; 冯晓顺; 程秋薇; 张晓娜

doi:10.19912/j.0254-0096.tynxb.2023-1011

PDF(7173 KB)

太阳能学报 ›› 2024, Vol. 45 ›› Issue (10) : 691-698. DOI: 10.19912/j.0254-0096.tynxb.2023-1011

中国南海海洋牧场的波浪能资源评估

万勇, 冯晓顺, 程秋薇, 张晓娜

作者信息 +

ASSESSMENT OF WAVE ENERGY RESOURCES IN MARINE PASTURES IN SOUTH CHINA SEA

Wan Yong, Feng Xiaoshun, Cheng Qiuwei, Zhang Xiaona

Author information +

文章历史 +

摘要

利用欧洲中期天气预报中心（European Center for Medium-Range Weather Forecasts）近10年的ERA5再分析海浪场数据,为中国南海周边4个省（自治区）的国家级海洋牧场选取最适合开发波浪能资源的电站位置,重点研究各站点的波浪能开发潜力以及与波浪能装置布放方向有关的指标。研究表明：广东省惠州小星山以及福建省莆田市南日岛两个国家级海洋牧场所选站点的波浪能开发潜力最高,获得高经济收益的潜力也最强;此外,后者所选站点的波浪能传播方向最集中,最有利于装置吸收波浪能资源。

Abstract

Based on a comprehensive analysis of the ERA5 reanalysis wave field data from the European Center for Medium-Range Weather Forecasts spanning the last decade, this research focuses on identifying optimal locations for harnessing wave energy resources in the maritime regions of four provinces surrounding the South China Sea. Emphasis is placed on evaluating the development potential of wave energy and key indicators influencing the deployment direction of wave energy devices. The findings reveal that Xiaoxingshan in Huizhou, Guangdong Province, and Nanri Island in Putian, Fujian Province, the two selected sites of national marine pasturesexhibit the highest potential for wave energy development, demonstrating a robust capability to yield significant economic benefits. Notably, Nanri Island showcases a concentrated wave energy propagation direction, rendering it particularly advantageous for the efficient absorption of wave energy resources by the devices.

导出引用

万勇, 冯晓顺, 程秋薇, 张晓娜. 中国南海海洋牧场的波浪能资源评估[J]. 太阳能学报. 2024, 45(10): 691-698 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1011

Wan Yong, Feng Xiaoshun, Cheng Qiuwei, Zhang Xiaona. ASSESSMENT OF WAVE ENERGY RESOURCES IN MARINE PASTURES IN SOUTH CHINA SEA[J]. Acta Energiae Solaris Sinica. 2024, 45(10): 691-698 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1011

中图分类号： P743.2

参考文献

[1] 郑崇伟, 林刚, 孙岩, 等. 近22年南海波浪能资源模拟研究[J]. 热带海洋学报, 2012, 31(6): 13-19.
ZHENG C W, LIN G, SUN Y, et al.Simulation of wave energy resources in the South China Sea during the past 22 years[J]. Journal of tropical oceanography, 2012, 31(6): 13-19.
[2] 李伟, 史宏达, 刘臻, 等. 中国海洋能研究现状及未来发展建议[J]. 太阳能, 2024(7): 79-88.
LI W, SHI H D, LIU Z, et al.Research progress of ocean energy in china and its development proposals[J]. Solar energy, 2024(7): 79-88.
[3] 王亚民, 郭冬青. 我国海洋牧场的设计与建设[J]. 中国水产, 2011(4): 25-27.
WANG Y M, GUO D Q.Design and construction of marine pasture in China[J]. Aquarium, 2011(4): 25-27.
[4] 潘澎. 海洋牧场:承载中国渔业转型新希望[J]. 中国水产, 2016(1): 47-49.
PAN P.Marine ranch. carrying the new hope of fishery transformation in China[J]. Aquarium, 2016(1): 47-49.
[5] 王春晓, 于华明, 李松霖, 等. 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.
WANG C X, YU H M, LI S L, et al.Wave energy resource valuation based on sea wave reanalysis data[J]. Acta energiae solaris sinica, 2022, 43(9): 430-436.
[6] 武贺, 方舣洲, 张松, 等. 南海岛礁海域波浪能资源分析及总量评估[J]. 太阳能学报, 2022, 43(9): 416-423.
WU H, FANG Y Z, ZHANG S, et al.Wave energy characterization and potential estimation for islands of South China Sea[J]. Acta energiae solaris sinica, 2022, 43(9): 416-423.
[7] FOLLEY M, WHITTAKER T J T. Analysis of the nearshore wave energy resource[J]. Renewable energy, 2009, 34(7): 1709-1715.
[8] SOARES C G, BENTO A R, GONÇALVES M, et al. Numerical evaluation of the wave energy resource along the Atlantic European coast[J]. Computers & geosciences, 2014, 71(C): 37-49.
[9] LAFACE V, ARENA F.Extremes and resource assessment of wind and waves in central Mediterranean Sea[J]. Energy, 2023, 278: 127954.
[10] 郑崇伟. 21世纪海上丝绸之路: 斯里兰卡海域的波浪能评估及决策建议[J]. 哈尔滨工程大学学报, 2018, 39(4): 614-621.
ZHENG C W.21st Century Maritime Silk Road: wave energy evaluation and decision and proposal of the Sri Lankan waters[J]. Journal of Harbin Engineering University, 2018, 39(4): 614-621.
[11] 范飞, 梁丙臣, 齐静静. 黄河口三角洲波浪能和风能资源评估[J]. 太阳能学报, 2014, 35(8): 1363-1368.
FAN F, LIANG B C, QI J J.Assessment of wave energy and wind energy resoures of Yellow River Delta[J]. Acta energiae solaris sinica, 2014, 35(8): 1363-1368.
[12] LIANG B C, FAN F, LIU F S, et al.22-Year wave energy hindcast for the China East Adjacent Seas[J]. Renewable energy, 2014, 71: 200-207.
[13] OLAUSON J.ERA5: the new champion of wind power modelling?[J]. Renewable energy, 2018, 126: 322-331.
[14] LIN Y F, DONG S, WANG Z F, et al.Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids[J]. Renewable energy, 2019, 136: 275-295.
[15] MORIM J, CARTWRIGHT N, ETEMAD-SHAHIDI A, et al.Wave energy resource assessment along the Southeast coast of Australia on the basis of a 31-year hindcast[J]. Applied energy, 2016, 184: 276-297.
[16] RIBEIRO A S, DE CASTRO M, COSTOYA X, et al.A Delphi method to classify wave energy resource for the 21st century: application to the NW Iberian Peninsula[J]. Energy, 2021, 235: 121396.
[17] AMRUTHA M M, KUMAR V S.Evaluation of a few wave energy converters for the Indian shelf seas based on available wave power[J]. Ocean engineering, 2022, 244: 110360.
[18] 王传崑, 卢苇. 海洋能资源分析方法及储量评估[M]. 北京: 海洋出版社, 2009.
WANG C K, LU W.Analysis method and reserve evaluation of marine energy resources[M]. Beijing: Ocean Press, 2009.
[19] 甘浪雄, 张怀志, 卢天赋, 等. 基于熵权法的水上交通安全因素[J]. 中国航海, 2021, 44(2): 53-58.
GAN L X, ZHANG H Z, LU T F, et al.Water traffic safety factors based on entropy weight method[J]. Navigation of China, 2021, 44(2): 53-58.
[20] 万勇, 范陈清, 戴永寿, 等. 山东半岛周边近岸海域波浪能开发潜力研究[J]. 太阳能学报, 2018, 39(12): 3311-3318.
WAN Y, FAN C Q, DAI Y S, et al.Wave energy development potential assessment in nearshore sea area around Shandong peninsula[J]. Acta energiae solaris sinica, 2018, 39(12): 3311-3318.