Study on wave energy resource assessing method based on altimeter data-A case study in Northwest Pacific

WAN Yong; ZHANG Jie; MENG Junmin; WANG Jing; DAI Yongshou

doi:10.1007/s13131-016-0804-2

基于高度计数据的波浪能资源评估方法研究——以西北太平洋为例

doi: 10.1007/s13131-016-0804-2

1.
College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China;The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
2.
The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
3.
College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
4.
College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China

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- 文章访问数: 1071
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出版历程
- 收稿日期: 2015-04-30
- 修回日期: 2015-08-26

Study on wave energy resource assessing method based on altimeter data-A case study in Northwest Pacific

1.
College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China;The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
2.
The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
3.
College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
4.
College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China

摘要

摘要: 波浪能是一种重要的海洋可再生能源,在开发波浪能之前需要对波浪能的时空分布状况进行可靠的评估。高度计可以提供比海浪模式更为准确的海浪现场观测结果,可以作为波浪能资源评估的一种新的手段。高度计数据的优势在于对海浪有效波高的观测具有较高的精度。为了发挥高度计数据的特点和优势,实现高度计数据在波浪能资源评估研究中的应用,本文建立了一种适合于高度计数据的局部海域波浪能资源的评估方法,主要包括数据的选择和处理;评价指标体系的建立;区域等级划分标准的建立。然后,以西北太平洋为例论述了该方法的具体应用。研究表明:本文建立的评估方法可以有效的评估研究海域波浪能资源的储量和时空分布状况,可为波能电站的建站选址和波能转换装置的设计和运行提供科学的参考依据。
- 高度计数据 /
- 波浪能资源 /
- 评估方法 /
- 西北太平洋 /
- 波功率密度
Abstract: Wave energy resource is a very important ocean renewable energy. A reliable assessment of wave energy resources must be performed before they can be exploited. Compared with wave model, altimeter can provide more accurate in situ observations for ocean wave which can be as a novel method for wave energy assessment. The advantage of altimeter data is to provide accurate significant wave height observations for wave. In order to develop characteristic and advantage of altimeter data and apply altimeter data to wave energy assessment, in this study, we established an assessing method for wave energy in local sea area which is dedicated to altimeter data. This method includes three parts including data selection and processing, establishment of evaluation indexes system and criterion of regional division. Then a case study of Northwest Pacific was performed to discuss specific application for this method. The results show that assessing method in this paper can assess reserves and temporal and spatial distribution effectively and provide scientific references for the siting of wave power plants and the design of wave energy convertors.
- altimeter data /
- wave energy resources assessment /
- assessing method /
- Northwest Pacific /
- wave power density

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参考文献(44)

Abdalla S, Janssen P, Bidlot J. 2008. Jason-2 wind and wave products:Monitoring, validation and assimilation. OSTST 2008 meeting. http://www.aviso.oceanobs.com/fileadmin/documents/OSTS T/2008/oral/abdalla.pdf[2015-1-11]

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

Barstow S, Haug O, Krogstad H. 1998. Satellite altimeter Data in wave energy studies. In:Proceedings of Waves'97. ASCE, 339-354

Challenor P G, Srokosz M A. 1991. Wave studies with the radar alti-meter. Int J Remote Sens, 12(8):1671-1686

CNES & CLS. High-precision altimetry with satellites working togeth-er. http://www.aviso.oceanobs.com/en/altimetry/multi-satel-lites.html[2014-12-1]

Cornett A M. 2008. A global wave energy resource assessment. In:Proceedings of 18th International Conference on Offshore and Polar Engineering. Vancouver, BC Canada:ISOPE

Folley M, Whittaker T J T. 2009. Analysis of the nearshore wave en-ergy resource. Renewable Energy, 34(7):1709-1715

Gommenginger C P, Srokosz M A, Challenor P G, et al. 2003. Measur-ing ocean wave period with satellite altimeters:A simple empir-ical model. Geophysical Research Letters, 30(22), doi: 10.1029/2003GL017743

Hsu T W, Liau J M, Lin J G, et al. 2010. 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 comparis-on of wind speed, wave height, and wave period derived from satellite altimeters and ocean buoys in the Gulf of Mexico re-gion. J Geophys Res, 103(C5):10451-10468

Iglesias G, Carballo R. 2010. Wave energy resource in the Estaca de Bares area (Spain). Renewable Energy, 35(7):1574-1584

Iglesias G, Carballo R. 2011. Choosing the site for the first wave farm in a region:A case study in the Galician Southwest (Spain). En-ergy, 36(9):5525-5531

Kshatriya J, Sarkar A, Kumar R. 2005. Determination of ocean wave period from altimeter data using wave-age concept. Mar Geod, 28(1):71-79

Li Chengkui, Liao Wenjun, Wang Yuxin. 2010. The development of wave power generation technology in the world. The Magazine on Equipment Machine (in Chinese), (2):68-73

Li Ruili. 2007. Research on various periods of sea waves[dissertation] (in Chinese). Qingdao:Ocean University of China

Liang Bingchen, Fan Fei, Yin Zegao, et al. 2013. Numerical modelling of the nearshore wave energy resources of Shandong penin-sula, China. Renewable Energy, 57:330-338

Liang Bingchen, Fan Fei, Liu Fushun, et al. 2014. 22-Year wave en-ergy hindcast for the China East Adjacent Seas. Renewable En-ergy, 71(11):200-207

Li Jie, Qian Hongbao, Li Hai, et al. 2011. Numerical study of sea waves created by tropical cyclone Jelawat. Acta Oceanologica Sinica, 30(5):64-70

Ma Huaishu, Yu Qingwu. 1983. The preliminary estimate for the po-tential 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 K_u band altimeter data. J Geophys Res, 113(C3):C03029, doi: 10.1029/2007JC004438

Miao Hongli, Ren Haoran, Zhou Xiaoguang, et al. 2012. Study on alti-meter-based inversion model of mean wave period. Journal of Applied Remote Sensing, 6(1):063591, doi: 10.1117/1.JRS.6.063591

Pontes M T. 1998. Assessing the European wave energy resource. Journal of Offshore Mechanics and Arctic Engineering, 120(4):226-231

Quayle R G, Changery M J. 1981. Estimates of coastal deepwater wave energy potential for the world. Proceedings of Conference of Oceans 1981. USA, Boston, MA, 903-907

Queffeulou P, Bentamy A, Croizé-Fillon D. 2010. Validation status of a global altimeter wind & wave data base. OSTST 2010 meeting. http://www.aviso.oceanobs.com/fileadmin/documents/OSTS T/2010/oral/19_Tuesday/Tuesday_afternoon/19_1520_Quef-feulou_1_OSTST_2010_QUEFF.pdf[2015-1-11]

Quilfen Y, Chapron B, Collard F, et al. 2004. Calibration/validation of an altimeter wave period model and application to TOPEX/Po-seidon and Jason-1 altimeters. Mar Geod, 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 Resources (in Chinese), 27(3):93-97

Rusu E, Soares C G. 2009. Numerical modelling to estimate the spa-tial distribution of the wave energy in the Portuguese nearshore. Renewable Energy, 34(6):1501-1516

Soares C G, Bento A R, Goncalves M, et al. 2014. Numerical evalu-ation of the wave energy resource along the Atlantic European coast. Computers & Geosciences, 71:37-49

Stopa J E, Cheung K F, Chen Y L. 2011. Assessment of wave energy re-sources in Hawaii. Renewable Energy, 36(2):554-567

Wan Yong, Zhang Jie, Meng Junmin, et al. 2014. Assessment of wave energy resources for the OE-W01 area based on ERA-Interim reanalysis data. Resources Science (in Chinese), 36(6):1278-1287

Wan Yong, Zhang Jie, Meng Junmin, et al. 2015. A wave energy re-source assessment in the China's seas based on multi-satellite merged radar altimeter data. Acta Oceanologica Sinica, 34(3):115-124

Wang Chuankun. 1984. Wave energy preliminary analysis for the Chinese coastal waters. Donghai Marine Science (in Chinese), 2(2):32-38

Wang Guoliang. 2002. The northwestern Pacific area:A geopolitical junction in the 21th century. World Regional Studies (in Chinese), 11(2):13-19

Wang Xifeng. 2006. Research on Retrieving wave period from satel-lite altimeters[dissertation]. Qingdao:Ocean University of China

Wang Chuankun, Lu Dechao. 1989. Ocean Energy Resources Zoning for Chinese Coastal Countryside (in Chinese). Beijing:Science and Technology Division of State Oceanic Administration, Sci-ence and Technology Division of Hydroelectric Department

Wang Chuankun, Lu Wei. 2009. Analysis Methods and Reserves Eval-uation of Ocean Energy Resources (in Chinese). Beijing:China Ocean Press, 61-62

Wen Shengchang, Yu Zhouwen. 1984. Ocean Wave Theory and Cal-culation Principle (in Chinese). Beijing:Science Press, 203-204

Wu Shuping, Liu Chuanyu, Chen Xinping. 2015. Offshore wave en-ergy resource assessment in the East China Sea. Renewable En-ergy, 76:628-636

Zhang Peng, Chen Xiaoling, Lu Jianzhong, et al. 2011. Research on wave simulation of Bohai Sea based on the CCMP remotely sensed sea winds. Marine Science Bulletin (in Chinese), 30(3):266-271

Zhao Dongliang, Li Shuiqing, Song Chaoyang. 2012. The comparison of altimeter retrieval algorithms of the wind speed and the wave period. Acta Oceanologica Sinica, 31(3):1-9

Zheng Chongwei, Jia Benkai, Guo Suiping, et al. 2013a. Wave energy resource storage assessment in global ocean. Resources Sci-ence (in Chinese), 35(8):1611-1616

Zheng Chongwei, Pan Jing, Li Jiaxun. 2013b. 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 assess-ment of global ocean wave energy resources over the last 45 a. Acta Oceanologica Sinica, 33(1):92-101

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

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文章访问数: 1071
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基于高度计数据的波浪能资源评估方法研究——以西北太平洋为例

doi: 10.1007/s13131-016-0804-2

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出版历程

Study on wave energy resource assessing method based on altimeter data-A case study in Northwest Pacific

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