山东半岛海岛波浪能和风能联合开发潜力评估

万勇; 程秋薇

doi:doi:10.19912/j.0254-0096.tynxb.2024-1201

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山东半岛海岛波浪能和风能联合开发潜力评估

更新时间：2025-12-10

- 山东半岛海岛波浪能和风能联合开发潜力评估
- Issue 11, Pages: 492-499(2025)
- 作者机构：
- 作者简介：
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- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1201
  CLC： 743
- Published Online：04 December 2025，
  
  Published：04 December 2025
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万勇, 程秋薇. 山东半岛海岛波浪能和风能联合开发潜力评估[J]. 2025, (11): 492-499.
DOI：

万勇, 程秋薇. 山东半岛海岛波浪能和风能联合开发潜力评估[J]. 2025, (11): 492-499. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1201.

摘要

利用近15年第5代欧洲中期天气预报中心再分析资料再分析海浪场数据

选取山东半岛海岛最适合波浪能和风能资源联合开发的电站位置

各单站通过采用商用风力涡轮机（WT）和波浪能转换器（WEC）组成联合发电站

从功率平滑效果、容量因子和停机时间等多角度分析其联合后带来的潜在优势。研究表明：东诸岛、竹岔岛和斋堂岛所选单站特定的风浪装机容量占比显著降低了联合发电站功率输出可变性和停机时间

相比其他岛屿其联合开发潜力更高。此外

所有单站采用两种资源联合的发电站均可有效减少低功率输出时间。

Abstract

Using wave field data from the fifth generation ECMWF re analyses （ERA5） over the past 15 years

this study selects optimal locations for joint wave and wind energy power stations on islands off the Shandong Peninsula. Each site employs commercial wind turbines （WT） and wave energy converters （WEC） to form combined power stations. The study analyzes the potential benefits of these combined stations from multiple perspectives

including smoothing of power output

capacity factor

and downtime. The results indicate that the specific wind-wave installed capacity ratios at Dongzhudao

Zhuchadao

and Zhaitangdao significantly reduce the variability in power output and downtime of the combined stations

demonstrating a higher joint development potential compared to other islands. Additionally

the combined stations at all selected sites effectively reduce the duration of low power output.

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references

麻常雷, 历鑫, 张彩琳. 中国海洋能产业发展分析[J]. 油气与新能源, 2024, 36(1): 16-21.

郑崇伟, 高成志, 高悦. “21世纪海上丝绸之路” 波浪能的气候特征及变化趋势[J]. 太阳能学报, 2019, 40(6): 1487-1493.

赵阳, 董永军, 郭景富, 等. 一种应用于海岛多能互补发电系统的新型储能状态估计方法的实现[J]. 太阳能学报, 2014, 35(5): 872-880.

许杉敏. 海上风能与波浪能联合发电系统布局优化[D]. 长沙: 中南大学, 2023.

邵萌, 张淑蕾, 孙金伟, 等. 基于多准则决策方法的海岛风浪互补电站选址决策研究[J]. 中国海洋大学学报(自然科学版), 2022, 52(4): 120-129.

史宏达, 刘臻. 海洋波浪能研究进展及发展趋势[J]. 科技导报, 2021, 39(6): 22-28.

史宏达, 韩治, 路晴. 风-浪联合开发技术研究现状及发展趋势[J]. 海岸工程, 2022, 41(4): 328-339.

GAUGHAN E, FITZGERALD B.An assessment of the potential for co-located offshore wind and wave farms in Ireland[J]. Energy, 2020, 200: 117526.

STOUTENBURG E D, JENKINS N, JACOBSON M Z.Power output variations of co-located offshore wind turbines and wave energy converters in California[J]. Renewable energy, 2010, 35(12): 2781-2791.

KALOGERI C, GALANIS G, SPYROU C, et al.Assessing the European offshore wind and wave energy resource for combined exploitation[J]. Renewable energy, 2017, 101: 244-264.

GIDEON R A, BOU-ZEID E.Collocating offshore wind and wave generators to reduce power output variability: a multi-site analysis[J]. Renewable energy, 2021, 163: 1548-1559.

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.

SHI H Y, CAO X F, LI Q J, et al.Evaluating the accuracy of ERA5 wave reanalysis in the water around China[J]. Journal of Ocean University of China, 2021, 20(1): 1-9.

郭鑫, 韩震, 廖廓. 基于ERA5再分析资料的中国近海浅水区域风能潜力评估[J]. 海洋通报, 2022, 41(3): 325-335.

谭海燕, 邵珠晓, 梁丙臣, 等. ERA5风场与NCEP风场在黄海、东海波浪模拟的适用性对比研究[J]. 海洋通报, 2021, 40(5): 524-540.

姜波, 丁杰, 方舣洲, 等. 涠洲岛海洋风能和波浪能资源评估[J]. 太阳能学报, 2023, 44(10): 461-466.

ZHOU X, HUANG Z, WANG H, et al.Site selection for hybrid offshore wind and wave power plants using a four-stage framework: a case study in Hainan, China[J]. Ocean & coastal management, 2022, 218: 106035.

SØRENSEN S J. Offshore Wind farms modelled for simulations with PyWake[D]. Telemark: University of South-Eastern Norway, 2024.

KAMRANZAD B, HADADPOUR S.A multi-criteria approach for selection of wave energy converter/location[J]. Energy, 2020, 204: 117924.

MARQUIS L, KRAMER M, KRINGELUM J, et al.Introduction of Wavestar wave energy converters at the Danish offshore wind power plant Horns Rev2[C]//4th International Conference on Ocean Energy. Dublin, Ireland, 2012.

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