10-Year Wind and Wave Energy Assessment in the North Indian Ocean

被引:10
作者
Yang, Shaobo [1 ,2 ,3 ]
Duan, Shanhua [1 ,3 ]
Fan, Linlin [1 ,3 ]
Zheng, Chongwei [2 ,4 ,5 ,6 ]
Li, Xingfei [1 ,3 ]
Li, Hongyu [7 ]
Xu, Jianjun [8 ]
Wang, Qiang [1 ]
Feng, Ming [1 ]
机构
[1] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
[2] Marine Resources & Environm Res Grp Maritime Silk, Dalian 116018, Peoples R China
[3] Tianjin Univ, Qingdao Inst Ocean Engn, Qingdao 266000, Shandong, Peoples R China
[4] State Key Lab Estuarine & Coastal Res, Shanghai 200062, Peoples R China
[5] Ocean Univ China, Shandong Prov Key Lab Ocean Engn, Qingdao 266100, Shandong, Peoples R China
[6] Dalian Naval Acad, Nav Dept, Dalian 116018, Peoples R China
[7] Shandong Univ Sci & Technol, Coll Ocean Sci & Engn, Qingdao 266590, Shandong, Peoples R China
[8] Guangdong Ocean Univ, South China Sea Inst Marine Meteorol, Zhanjiang 524088, Peoples R China
关键词
North Indian Ocean; WAVEWATCH-III; wind energy; wave energy; energy assessment; GULF-OF-MEXICO; EAST CHINA SEA; RESOURCE ASSESSMENT; WAVEWATCH-III; WEST-COAST; REANALYSIS; HINDCAST; WATERS; MODEL; PERFORMANCE;
D O I
10.3390/en12203835
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With increasing energy shortages and global warming, clean and renewable energy sources, such as wind and wave energy, have gained widespread attention. In this study, the third-generation wave model WAVEWATCH-III (WW3) is used to simulate wave height in the North Indian Ocean (NIO), from 2008 to 2017, using the wind data from the European Centre for Medium-Range Weather Forecasts Renalysis datasets. The simulated results show good correlation with data obtained from altimetry. Analysis of wind and wave energy resources in the NIO is carried out considering energy density, the exploitable energy, the energy density stability, and monthly and seasonal variability indices. The results show that most areas of the NIO have abundant wind energy and at the Somali Waters are rich in wave energy resources, with wind energy densities above 200 W/m(2) and wave energy densities above 15 KW/m. The most energy-rich areas are the Somali Waters, the Arabian Sea, and the southern part of the NIO (wind energy density 350-650 W/m(2), wave energy density 9-24 KW/m), followed by the Laccadive sea (wind energy density 150-350 W/m(2), wave energy density 6-9 KW/m), while the central part of the NIO is relatively poor (wind energy density less than 150 W/m(2), wave energy density below 6 KW/m).
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页数:16
相关论文
共 58 条
  • [1] Wave energy resource assessment for Red Sea
    Aboobacker, V. M.
    Shanas, P. R.
    Alsaafani, M. A.
    Albarakati, Alaa M. A.
    [J]. RENEWABLE ENERGY, 2017, 114 : 46 - 58
  • [2] Consistency of wave power at a location in the coastal waters of central eastern Arabian Sea
    Amrutha, M. M.
    Kumar, V. Sanil
    Bhaskaran, Harsha
    Naseef, Muhammed
    [J]. OCEAN DYNAMICS, 2019, 69 (05) : 543 - 560
  • [3] Spatial and temporal variations of wave energy in the nearshore waters of the central west coast of India
    Amrutha, M. M.
    Kumar, V. Sanil
    [J]. ANNALES GEOPHYSICAE, 2016, 34 (12) : 1197 - 1208
  • [4] Wave hindcast studies using SWAN nested in WAVEWATCH III - comparison with measured nearshore buoy data off Karwar, eastern Arabian Sea
    Amrutha, M. M.
    Kumar, V. Sanil
    Sandhya, K. G.
    Nair, T. M. Balakrishnan
    Rathod, J. L.
    [J]. OCEAN ENGINEERING, 2016, 119 : 114 - 124
  • [5] IDEALIZATION OF A MODULE
    Anderson, D. D.
    Winders, Michael
    [J]. JOURNAL OF COMMUTATIVE ALGEBRA, 2009, 1 (01) : 3 - 56
  • [6] [Anonymous], P 2016 6 INT ANN ENG, DOI DOI 10.1109/INAES.2016.7821944
  • [7] [Anonymous], P ISOPE 18 INT C OFF
  • [8] [Anonymous], 2018, SUSTAINABLE OCEAN RE
  • [9] [Anonymous], P OCEANS 2016 SHANGH
  • [10] [Anonymous], 2012, J NAT RESOUR