Projection of Future Global Offshore Wind Energy Resources using CMIP Data

被引:46
作者
Zheng, Chong-wei [1 ,2 ,3 ,4 ]
Li, Xue-yan [1 ]
Luo, Xia [5 ]
Chen, Xuan [3 ,5 ]
Qian, Yu-hao [6 ]
Zhang, Zhen-hua [1 ]
Gao, Zhan-sheng [4 ]
Du, Zhi-bo [7 ]
Gao, Yuan-bo [4 ]
Chen, Yun-ge [4 ]
机构
[1] Ludong Univ, Coast Inst, Yantai 264025, Peoples R China
[2] State Key Lab Estuarine & Coastal Res, Shanghai 200062, Peoples R China
[3] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
[4] Dalian Naval Acad, Dalian 116018, Peoples R China
[5] Natl Univ Def Technol, Coll Meteorol & Oceanog, Nanjing 211101, Jiangsu, Peoples R China
[6] Nanjing Univ Finance & Econ, Ctr Food Secur & Strateg Studies, Nanjing 210003, Jiangsu, Peoples R China
[7] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
global ocean; CMIP5 wind data; offshore wind energy; positive trend; CLIMATE-CHANGE; SPEED; OCEAN; ASSIMILATION; INTEGRATION; TOOL;
D O I
10.1080/07055900.2019.1624497
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Offshore wind energy has the potential to ease energy and environmental crises, improve people's living standards on remote islands, and, finally, make contributions to sustainable development. Accurate energy evaluations should be performed before the exploitation of offshore wind energy; this includes not only assessments of the resource's historical characteristics but also a focused effort on understanding future issues. Using simulated wind data from the Coupled Model Intercomparison Project, phase 5 (CMIP5), this paper compares and analyses wind energy characteristics globally for the 2080-2099 period (future) relative to the 1980-1999 period (past). The classification of both past and future wind energy is also presented. The results show a positive trend for future global offshore wind energy. Compared with the past, the extent of areas with wind power density (WPD) greater than 400 W m(-2) will expand. In the future, across most of the global oceans, the effective wind speed occurrence and the occurrence of a WPD higher than 200 W m(-2) will be greater than that in the past, generally by 10%. The extents of the sub-rich, available, and poor regions will decrease, while the regions with a wind energy class of 7 will expand. The future wind energies of the North and South Poles show a "seesaw" phenomenon.
引用
收藏
页码:134 / 148
页数:15
相关论文
共 37 条
[1]   Parametric study of two-body floating-point wave absorber [J].
Amiri A. ;
Panahi R. ;
Radfar S. .
Journal of Marine Science and Application, 2016, 15 (1) :41-49
[2]   Optimization of bottom-hinged flap-type wave energy converter for a specific wave rose [J].
Behzad H. ;
Panahi R. .
Journal of Marine Science and Application, 2017, 16 (2) :159-165
[3]   Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting [J].
Capps, Scott B. ;
Zender, Charles S. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2010, 115
[4]   Twentieth century bipolar seesaw of the Arctic and Antarctic surface air temperatures [J].
Chylek, Petr ;
Folland, Chris K. ;
Lesins, Glen ;
Dubey, Manvendra K. .
GEOPHYSICAL RESEARCH LETTERS, 2010, 37
[5]   Wind extremes in the North Sea Basin under climate change: An ensemble study of 12 CMIP5 GCMs [J].
de Winter, R. C. ;
Sterl, A. ;
Ruessink, B. G. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (04) :1601-1612
[6]   The ERA-Interim reanalysis: configuration and performance of the data assimilation system [J].
Dee, D. P. ;
Uppala, S. M. ;
Simmons, A. J. ;
Berrisford, P. ;
Poli, P. ;
Kobayashi, S. ;
Andrae, U. ;
Balmaseda, M. A. ;
Balsamo, G. ;
Bauer, P. ;
Bechtold, P. ;
Beljaars, A. C. M. ;
van de Berg, L. ;
Bidlot, J. ;
Bormann, N. ;
Delsol, C. ;
Dragani, R. ;
Fuentes, M. ;
Geer, A. J. ;
Haimberger, L. ;
Healy, S. B. ;
Hersbach, H. ;
Holm, E. V. ;
Isaksen, L. ;
Kallberg, P. ;
Koehler, M. ;
Matricardi, M. ;
McNally, A. P. ;
Monge-Sanz, B. M. ;
Morcrette, J. -J. ;
Park, B. -K. ;
Peubey, C. ;
de Rosnay, P. ;
Tavolato, C. ;
Thepaut, J. -N. ;
Vitart, F. .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2011, 137 (656) :553-597
[7]   Satellite winds as a tool for offshore wind resource assessment: The Great Lakes Wind Atlas [J].
Doubrawa, Paula ;
Barthelmie, Rebecca J. ;
Pryor, Sara C. ;
Hasager, Charlotte B. ;
Badger, Merete ;
Karagali, Ioanna .
REMOTE SENSING OF ENVIRONMENT, 2015, 168 :349-359
[8]   Offshore Wind Energy Climate Projection Using UPSCALE Climate Data under the RCP8.5 Emission Scenario [J].
Gross, Markus ;
Magar, Vanesa .
PLoS One, 2016, 11 (10)
[9]   Offshore wind energy potential estimation using UPSCALE climate data [J].
Gross, Markus S. ;
Magar, Vanesa .
ENERGY SCIENCE & ENGINEERING, 2015, 3 (04) :342-359
[10]  
Hemer MA, 2013, NAT CLIM CHANGE, V3, P471, DOI [10.1038/NCLIMATE1791, 10.1038/nclimate1791]