Distribution characteristics of wave energy in the Zhe-Min coastal area

Qin Ye; Zhongliang Yang; Min Bao; Weiyong Shi; Hongyuan Shi; Zaijin You; Wenyan Zhang

doi:10.1007/s13131-021-1859-2

Volume 41 Issue 5

May 2022

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Article Navigation > Acta Oceanologica Sinica > 2022 > 41(5): 163-172

Qin Ye, Zhongliang Yang, Min Bao, Weiyong Shi, Hongyuan Shi, Zaijin You, Wenyan Zhang. Distribution characteristics of wave energy in the Zhe-Min coastal area[J]. Acta Oceanologica Sinica, 2022, 41(5): 163-172. doi: 10.1007/s13131-021-1859-2

Citation:

Qin Ye, Zhongliang Yang, Min Bao, Weiyong Shi, Hongyuan Shi, Zaijin You, Wenyan Zhang. Distribution characteristics of wave energy in the Zhe-Min coastal area[J]. Acta Oceanologica Sinica, 2022, 41(5): 163-172. doi: 10.1007/s13131-021-1859-2

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Distribution characteristics of wave energy in the Zhe-Min coastal area

doi: 10.1007/s13131-021-1859-2

1.
Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
2.
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
3.
Ludong University, Yantai 264025, China
4.
Dalian Maritime University, Dalian 116026, China
5.
Institute of Coastal System, Helmholtz-Zentrum Hereon, Geesthacht 21502, Germany

Funds: The National Key R&D Program of China under contract No. 2018YFB1501901; the Zhejiang Provincial Natural Science Foundation of China under contract No. LY21D060003; the Project of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, under contract Nos SOEDZZ2103 and SOEDZZ2003.

More Information

Corresponding author: E-mail: minbao@sio.org.cn
Received Date: 2021-03-03
Accepted Date: 2021-05-10

Available Online: 2022-03-29

Publish Date: 2022-05-31

Abstract

Abstract

A 10-year (2003–2012) hindcast was conducted to study the wave field in the Zhe-Min coastal area (Key Area OE-W2) located off Zhejiang and Fujian provinces of China. Forced by the wind field from a weather research and forecasting model (WRF), high-resolution wave modelling using the SWAN was carried out in the study area. The simulated wave fields show a good agreement with observations. Using the simulation results, we conducted statistical analysis of wave power density in terms of spatial distribution and temporal variation. The effective duration of wave energy in the sea area was discussed, and the stability of wave energy was evaluated using the coefficient of variation of wave power density. Results indicate that the wave energy resource in the study area was about 4.11×10⁶ kW. The distribution of wave energy tends to increase from the north (off Zhejiang coast) to the south (off Fujian coast), and from near-shore area to the open sea. The sea areas with wave power density greater than 2 kW/m are mostly distributed seaward of the 10-m isobath, and the contours of the wave power density are almost parallel to the shoreline. The sea areas around the islands that are far from the mainland are rich in wave energy, usually more than 6 kW/m, and therefore are of obvious advantages in planning wave energy development and utilization. The effective duration of wave energy in the offshore area shows an increasing trend from north (off Zhejiang coast) to south (off Fujian coast), with values of ~3 500 h in the north and ~4 450 h in the south. The coefficient of variation of wave energy in this region is mostly in the range of 1.5–3.0, and gradually decreases from the north to the south, suggesting that the wave energy in the south is more stable than that in the north.
- SWAN model,
- wave energy,
- wave power density,
- effective duration,
- Zhe-Min coastal area

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References

[1]	Ahn S, Haas K A, Neary V S. 2020. Wave energy resource characterization and assessment for coastal waters of the United States. Applied Energy, 267: 114922
[2]	Aboobacker V M, Shanas P R, Alsaafani M A, et al. 2017. Wave energy resource assessment for Red Sea. Renewable Energy, 114: 46–58
[3]	Arinaga R A, Cheung K F. 2012. Atlas of global wave energy from 10 years of reanalysis and hindcast data. Renewable Energy, 39(1): 49–64
[4]	Bingölbali B, Majidi A G, Akpınar A. 2021. Inter- and intra-annual wave energy resource assessment in the south-western Black Sea coast. Renewable Energy, 169: 809–819
[5]	Cai Xiaojie, Dai Jianhua, Zhu Zhihui, et al. 2019. Quality control and forecast verification of wind field in coastal waters of Shanghai. Meteorological Science and Technology (in Chinese), 47(2): 214–221
[6]	Chen Junwen, Cai Yang, Bai Yiping, et al. 2014. Simulation of one gale case in winter in the South China Sea. Marine Forecasts (in Chinese), 31(4): 32–40
[7]	Goharnejad H, Nikaein E, Perrie W. 2021. Assessment of wave energy in the Persian Gulf: An evaluation of the impacts of climate change. Oceanologia, 63(1): 27–39
[8]	Gonçalves M, Martinho P, Soares C G. 2018. A 33-year hindcast on wave energy assessment in the western French coast. Energy, 165: 790–801
[9]	Gunn K, Stock-Williams C. 2012. Quantifying the global wave power resource. Renewable Energy, 44: 296–304
[10]	Jacobson P, Hagerman G. 2011. Mapping and assessment of the United States ocean wave energy resource. Palo, Alto, CA: EPRI
[11]	Jiang Bo, Ding Jie, Wu He, et al. 2017. Wave energy resource assessment along Bohai Sea, Yellow Sea and East China Sea. Acta Energiae Solaris Sinica (in Chinese), 38(6): 1711–1716
[12]	Kompor W, Ekkawatpanit C, Kositgittiwong D. 2018. Assessment of ocean wave energy resource potential in Thailand. Ocean & Coastal Management, 160: 64–74
[13]	Li Luping, Tian Suzhen, Xu Laisheng, et al. 1984. Power resource estimation of ocean surface waves in the Bohai Sea and Huanghai Sea and an evalution of prospects for converting wave power. Journal of Oceanography of Huanghai & Bohai Seas (in Chinese), 2(2): 14–23
[14]	Li Yongbo, Wu Kejian, Bi Fan, et al. 2013. Wave energy resources assessment in the Chengshan cape sea during the last 20 years by using SWAN wave model. Transactions of Oceanology and Limnology (in Chinese), (3): 1–9
[15]	Lin Yifan, Dong Sheng, Wang Zhifeng, et al. 2019. Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids. Renewable Energy, 136: 275–295
[16]	Luo Xuye, Xia Dengwen. 2017. Resource Characteristics and Evaluation Analysis of Ocean Energy in Offshore Key Areas of China (in Chinese). Beijing: China Ocean Press, 247
[17]	Ma Huaishu, Yu Qingwu. 1983. The preliminary eastimate for the potential surface wave energy resources in the adjacent sea areas of China. Marine Science Bulletin, 2(3): 73–81
[18]	Quitoras M R D, Abundo M L S, Danao L A M. 2018. A techno-economic assessment of wave energy resources in the Philippines. Renewable and Sustainable Energy Reviews, 88: 68–81
[19]	Ribal A, Babanin A V, Zieger S, et al. 2020. A high-resolution wave energy resource assessment of Indonesia. Renewable Energy, 160: 1349–1363
[20]	Rusu E, Onea F. 2019. A parallel evaluation of the wind and wave energy resources along the Latin American and European coastal environments. Renewable Energy, 143: 1594–1607
[21]	Shi Hongyuan, You Zaijin, Luo Xuye, et al. 2017. Assessment of wave energy resources for China Sea area based on 35 years’ ERA-Interim reanalysis data. Transactions of Oceanology and Limnology (in Chinese), (6): 30–37
[22]	Wan Yong, Zhang Jie, Meng Junmin, et al. 2015. Exploitable wave energy assessment based on ERA-Interim reanalysis data—A case study in the East China Sea and the South China Sea. Acta Oceanologica Sinica, 34(9): 143–155
[23]	Wan Yong, Zheng Chongwei, Li Ligang, et al. 2020. Wave energy assessment related to wave energy convertors in the coastal waters of China. Energy, 202: 117741
[24]	Wang Chuankun. 1984. Primary analysis of the coastal wave energy source off China. Donghai Marine Science (in Chinese), 2(2): 32–38
[25]	Wang Zhifeng, Dong Sheng, Dong Xiangke, et al. 2016a. Assessment of wind energy and wave energy resources in Weifang sea area. International Journal of Hydrogen Energy, 41(35): 15805–15811
[26]	Wang Lvqing, Feng Weibing, Tang Xiaoning. 2013. Wave energy features of China’s coastal provinces areas. Renewable Energy Resources, 31(11): 126–131
[27]	Wang Weiyuan, He Qianqian, Li Ruiyuan. 2016b. Assessment of wave energy resources in Zhoushan Sea. Water Power (in Chinese), 42(1): 93–97
[28]	Wang Chenghai, Hu Ju, Jin Shuanglong, et al. 2011. Application and test of lower level wind field simulation with Meso-scale model WRF in western region of Northwest China. Journal of Arid Meteorology (in Chinese), 29(2): 161–167
[29]	Wang Chuankun, Lu Wei. 2009. Analysis Method and Reserve Evaluation of Ocean Energy Resources (in Chinese). Beijing: China Ocean Press, 113
[30]	Ye Qin, Yang Zhongliang, Shi Weiyong, 2012. A preliminary study of the wave energy resources in the sea adjacent to Zhejiang. Journal of Marine Sciences (in Chinese), 30(4): 13–19
[31]	Zhang Rong, Jiang Bo, Zhang Song, et al. 2014. Application of wave energy development and utilization selection method in key exploration area of OE-W01. Ocean Development and Management (in Chinese), (9): 33–39
[32]	Zhang Jun, Xu Jindian, Guo Xiaogang. 2012. An evaluation and analysis of the ocean wave energy resource in nearshore waters of Fujian. Journal of Oceanography in Taiwan Strait (in Chinese), 31(1): 130–135
[33]	Zheng Chongwei, Li Xunqiang. 2011. Wave energy resources assessment in the China Sea during the last 22 years by using WAVEWATCH-Ⅲ wave model. Periodical of Ocean University of China (in Chinese), 41(11): 5–12
[34]	Zheng Chongwei, Zheng Yuyan, Chen Hongchun. 2011. Research on wave energy resources in the northern South China Sea during recent 10 years using SWAN wave model. Journal of Subtropical Resources and Environment (in Chinese), 6(2): 54–59