Offshore wind energy potential estimation using UPSCALE climate data

被引:14
作者
Gross, Markus S. [1 ]
Magar, Vanesa [1 ]
机构
[1] Ctr Invest Cient & Educ Super Ensenada, Dept Oceanog Fis, Carretera Ensenada Tijuana 3918, Ensenada 22860, Baja California, Mexico
关键词
Characterization; offshore wind; resource; REANALYSIS; SYSTEM; SEA;
D O I
10.1002/ese3.76
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
Offshore and near-shore wind energy is one of the major renewable energy resources, which already make a substantial contribution to the energy supply in Europe. Nevertheless, development is still in the start-up phase, with new projects being planned and implemented continuously. This development needs to be informed, to enable deployment at the most suitable/ideal locations. However, in order to predict the potential energy yield, forecasts have to be made. In this paper the authors present a scoping study. This study uses high-resolution climate data to predict wind speeds at various heights, and various locations along the coast of Mexico. Several techniques for wind extrapolation are explored, alongside a new method based on data analysis. The results show clearly a strong sensitivity to the method chosen, and results have to be interpreted accordingly. Also, the impact of water vapor is shown, using a method that predicts the moist air density at the hub height. The paper indicates that valuable information can be gained from the analyses undertaken, prior to embarking on detailed, targeted studies. The paper concludes with recommendations for further work.
引用
收藏
页码:342 / 359
页数:18
相关论文
共 17 条
[1]  
Ahmed S., 2011, WIND ENERGY THEORY P
[2]  
[Anonymous], 17 ECMWF
[3]   An assessment of wind power potential along the coast of Tamaulipas, northeastern Mexico [J].
Carrasco-Diaz, Magdiel ;
Rivas, David ;
Orozco-Contreras, Manuel ;
Sanchez-Montante, Orzo .
RENEWABLE ENERGY, 2015, 78 :295-305
[4]   Wind resource modelling in complex terrain using different mesoscale-microscale coupling techniques [J].
Carvalho, D. ;
Rocha, A. ;
Silva Santos, C. ;
Pereira, R. .
APPLIED ENERGY, 2013, 108 :493-504
[5]  
CHARNEY JG, 1953, J METEOROL, V10, P71, DOI 10.1175/1520-0469(1953)010<0071:NIOTQG>2.0.CO
[6]  
2
[7]   Diurnal cycle of surface flows during 2004 NAME and comparison to model reanalysis [J].
Ciesielski, Paul E. ;
Johnson, Richard H. .
JOURNAL OF CLIMATE, 2008, 21 (15) :3890-3913
[8]   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
[9]   The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system [J].
Donlon, Craig J. ;
Martin, Matthew ;
Stark, John ;
Roberts-Jones, Jonah ;
Fiedler, Emma ;
Wimmer, Werenfrid .
REMOTE SENSING OF ENVIRONMENT, 2012, 116 :140-158
[10]  
Elliott D., 2003, TECHNICAL REPORT