WAN Yong, ZHANG Jie, MENG Junmin, WANG Jing. A wave energy resource assessment in the China's seas based on multi-satellite merged radar altimeter data[J]. Acta Oceanologica Sinica, 2015, 34(3): 115-124. doi: 10.1007/s13131-015-0627-6
Citation: WAN Yong, ZHANG Jie, MENG Junmin, WANG Jing. A wave energy resource assessment in the China's seas based on multi-satellite merged radar altimeter data[J]. Acta Oceanologica Sinica, 2015, 34(3): 115-124. doi: 10.1007/s13131-015-0627-6

A wave energy resource assessment in the China's seas based on multi-satellite merged radar altimeter data

doi: 10.1007/s13131-015-0627-6
  • Received Date: 2014-06-20
  • Rev Recd Date: 2014-10-11
  • Wave energy resources are abundant in both offshore and nearshore areas of the China's seas. A reliable assessment of the wave energy resources must be performed before they can be exploited. First, for a water depth in offshore waters of China, a parameterized wave power density model that considers the effects of the water depth is introduced to improve the calculating accuracy of the wave power density. Second, wave heights and wind speeds on the surface of the China's seas are retrieved from an AVISO multi-satellite altimeter data set for the period from 2009 to 2013. Three mean wave period inversion models are developed and used to calculate the wave energy period. Third, a practical application value for developing the wave energy is analyzed based on buoy data. Finally, the wave power density is then calculated using the wave field data. Using the distribution of wave power density, the energy level frequency, the time variability indexes, the total wave energy and the distribution of total wave energy density according to a wave state, the offshore wave energy in the China's seas is assessed. The results show that the areas of abundant and stable wave energy are primarily located in the north-central part of the South China Sea, the Luzon Strait, southeast of Taiwan in the China's seas; the wave power density values in these areas are approximately 14.0-18.5 kW/m. The wave energy in the China's seas presents obvious seasonal variations and optimal seasons for a wave energy utilization are in winter and autumn. Except for very coastal waters, in other sea areas in the China's seas, the energy is primarily from the wave state with 0.5 m≤Hs≤4 m, 4 s≤Te≤10 s where Hs is a significant wave height and Te is an energy period; within this wave state, the wave energy accounts for 80% above of the total wave energy. This characteristic is advantageous to designing wave energy convertors (WECs). The practical application value of the wave energy is higher which can be as an effective supplement for an energy consumption in some areas. The above results are consistent with the wave model which indicates fully that this new microwave remote sensing method altimeter is effective and feasible for the wave energy assessment.
  • loading
  • Abdalla S, Janssen P, Bidlot J. 2008. OSTST 2008 Meeting: Jason-2 Wind and Wave Products: Monitoring, Validation and Assimilation AVISO and PODAAC User Handbook. 2008. IGDR and GDR Jason Products, SMM-MU-M5-OP-13184-CN (AVISO), 4.1ed. France: CNES and CLS
    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
    Bai Shaocheng. 2006. A brief analysis of the world energy crisis and China's strategic solution. Experiment Science & Technology (in Chinese), (Z1): 168-170
    Barstow S, Haug O, Krogstad H. 1998. Satellite altimeter data in wave energy studies. In: Proceedings of Waves'97. Skudai: Universiti Teknologi Malaysia, 339-354
    Challenor P G, Srokosz M A. 1991. Wave studies with the radar altimeter. Int J Remote Sens, 12(8): 1671-1686
    CNES, CLS. 2010. High-precision altimetry with satellites working together. http://www.aviso.altimetry.fr/en/techniques/altimetry/ multi-satellites.html
    Cornett A M. 2008. A global wave energy resource assessment. In: Pro-ceedings of 18th International Conference on Offshore and Polar Engineering. BC, Canada, Vancouver: The International Society of Offshore and Polar Engineers
    ECMWF. 2013. User Guide to ECMWF Forecast Products. UK, Reading: ECMWF
    Folley M, Whittaker T J T. 2009. Analysis of the nearshore wave energy resource. Renewable Energy, 34(7): 1709-1715
    Gommenginger C P, Srokosz M A, Challenor P G, et al. 2003. Measuring ocean wave period with satellite altimeters: a simple empirical model. Geophysical Research Letters, 30(22): 2150
    Guan Yi. 2011. Study on feasibility evaluation of wave energy in China (in Chinese)[dissertation]. Qingdao: Ocean University of China
    Hsu T W, Liau J M, Lin J G, et al. 2012. Sequential assimilation in the wind wave model for simulations of typhoon events around Taiwan Island. Ocean Engineering, 38(2-3): 456-467
    Hwang P A, Teague W J, Jacobs G A, et al. 1998. A statistical comparison of wind speed, wave height, and wave period derived from satellite altimeters and ocean buoys in the Gulf of Mexico region. J Geophys Res, 103(C5): 10451-10468
    Iglesias G, López M, Carballo R, et al. 2009. Wave energy potential in Galicia (NW Spain). Renewable Energy, 34(11): 2323-2333
    Li Luping, Tian Suzhen, Xu Shenglai, 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
    Li Chengkui, Liao Wenjun, Wang Yuxin. 2010. Research progress of ocean wave energy power technology in the world. The Magazine on Equipment Machine (in Chinese), (2): 68-73
    Li Ruili. 2007. Research on various periods of sea waves (in Chinese) [dissertation]. Qingdao: Ocean University of China
    Ma Huaishu, Yu Qingwu. 1983. The preliminary estimate for the potential surface wave surface wave energy resources in the adjacent sea areas of China. Marine Science Bulletin (in Chinese), 2(3): 73-82
    Mackay E B L, Retzler C H, Challenor P G, et al. 2008. A parametric model for ocean wave period from Ku band altimeter data. J Geophys Res, 113(C3): C03029
    Miao Hongli, Ren Haoran, Zhou Xiaoguang, et al. 2012. Study on altimeter- based inversion model of mean wave period. Journal of Applied Remote Sensing, 6(1): 063591
    Pontes M T. 1998. Assessing the European wave energy resource. Journal of Offshore Mechanics and Arctic Engineering, 120(4): 226- 231
    Pontes M T, Aguiar R, Oliveira Pires H. 2005. A nearshore wave energy atlas for Portugal. Journal of Offshore Mechanics and Arctic Engineering, 127(3): 249-255
    Pontes M T, Bruck M. 2008. Using remote sensed data for wave energy resource assessment. In: Proceedings of the ASME 27th International Conference on Offshore Mechanics and Arctic Engineering. ASME, Portugal, Estoril, 1-9
    Queffeulou P, Bentamy A, Croizé-Fillon D. 2010. OSTST 2010 Meeting: Validation Status of a Global Altimeter Wind & Wave Data Base. Portugal, Lisbon: CNES
    Quayle R G, Changery M J. 1981. Estimates of coastal deepwater wave energy potential for the world. In: Proceedings of Conference of Oceans 1981. Boston, MA: IEEE, 903-907
    Quilfen Y, Chapron B, Collard F, et al. 2004. Calibration/validation of an altimeter wave period model and application to TOPEX/Poseidon and Jason-1 altimeters. Mar Geodesy, 27(3-4): 535-549
    Ren Jianli, Luo Yuya, Chen Junjie, et al. 2009. Research on wave power application by the information system for ocean wave resources evaluation. Renewable Energy (in Chinese), 27(3): 93-97
    Ren Jianli, Luo Yuya, Zhong Yingjie, et al. 2008. The implementation for the analysis system of ocean wave resources and the application of wave energy power generation. Journal of Zhejiang University of Technology (in Chinese), 36(2): 186-191
    Smith W H F, Sandwell D T. 1997. Global sea floor topography from satellite altimetry and ship depth soundings. Science, 277(5334): 1956-1962
    Stopa J E, Cheung K F, Chen Yileng. 2011. Assessment of wave energy resources in Hawaii. Renewable Energy, 36(2): 554-567
    Wang Chuankun. 1984. Wave energy preliminary analysis for the Chinese coastal waters. Donghai Marine Science (in Chinese), 2(2): 32-38
    Wang Chuankun, Lu Dechao. 1989. Ocean Energy Resources Zoning for Chinese Coastal Countryside (in Chinese). China: Science and Technology Division of State Oceanic Administration, Science and Technology Division of Hydroelectric Department
    Wang Chuankun, Lu Wei. 2009. Analysis Methods and Reserves Evaluation of Ocean Energy Resources (in Chinese). Beijing: China Ocean Press, 61-62
    Wen Shengchang, Yu Zhouwen. 1985. Ocean Wave Theory and Calculation Principle (in Chinese). Beijing: China Science Press, 203-204
    Wang Xifeng. 2006. Research on Retrieving Wave Period from Satellite Altimeters (in Chinese) [dissertation]. Qingdao: Ocean University of China
    Yang Le. 2009. Satellite radar altimeter remote sensing inversion algorithm research in the coastal water of China and high sea state (in Chinese) [dissertation]. Nanjing: Nanjing University of Science and Technology
    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
    Zheng Chongwei, Lin Gang, Shao Longtan. 2013. Wave energy resources analysis around Taiwan waters. Journal of Natural Resources (in Chinese), 28(7):1179-1186
    Zheng Chongwei, Pan Jing. 2014. Assessment of the global ocean wind energy resource. Renewable and Sustainable Energy Reviews, 33: 382-391
    Zheng Chongwei, Pan Jing, Li Jiaxun. 2013. Assessing the China Sea wind energy and wave energy resources from 1988 to 2009.
    Ocean Engineering, 65: 39-48
    Zheng Chongwei, Shao Longtan, Shi Wenli, et al. 2014. An assessment of global ocean wave energy resources over the last 45 a. Acta Oceanologica Sinica, 33(1): 92-101
    Zheng Chongwei, Su Qin, Liu Tiejun. 2013. Wave energy resources assessment and dominant area evaluation in the China Sea from 1988 to 2010. Haiyang Xuebao (in Chinese), 35(3): 104-111
    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
    Zheng Chongwei, Zhuang Hui, Li Xin, et al. 2012. Wind energy and wave energy resources assessment in the East China Sea and South China Sea. Science China: Technological Sciences, 55(1): 163-173
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2271) PDF downloads(1749) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint