Assessment of Offshore Wind Resource in China Using CFSR Data

Article Preview

Abstract:

The offshore wind farms have many advantages over the onshore ones: they are not affected by the terrain, ground vegetation, buildings and other landscape features, so they have stronger and steadier wind, higher wind power density, smaller turbulence intensity and other advantages. Therefore, offshore wind power becomes the developing trends of wind power industry nowadays. However, its development faces the challenge of how to assess offshore wind resources accurately. It is difficult to get accurate, long-term, large-scale measured data on sea, and the nearshore observations cannot be substitute for the offshore wind conditions directly. This paper applies the NCEP CFSR reanalysis data (combines with the WMO marine observation data) to research the offshore wind resource assessment of China. We find that CFSR reanalysis data is consistent with the observation data, and it can provide a reference for China offshore wind resource assessment. The result of China offshore wind resource distribution is obtained finally.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 1070-1072)

Pages:

303-308

Citation:

Online since:

December 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Li Xiaoyan, Yu Zhi. Developments of offshore wind power. ACTA Energiae Solaris SINICA, 2004, 25(1): 78-84.

Google Scholar

[2] Risoe National Laboratory, Offshore Wakes. Measurements and Modelling. Proceeding of the ENDOW Workshop. (2002).

Google Scholar

[3] Lange B, Larsen S, Hjstrup J, et al. Importance of thermal effects and sea surface roughness for offshore wind resource assessment. Journal of wind engineering and industrial aerodynamics, 2004, 92(11): 959-988.

DOI: 10.1016/j.jweia.2004.05.005

Google Scholar

[4] Lange B, Johnson H K, Larsen S, et al. The dependence of sea surface roughness on wind-waves. Journal of Physical Oceanography, 2004, 34: 1441-1458.

Google Scholar

[5] Bernhard Lange, Jrgen Hjstrup. Evaluation of the wind resource estimation program WASP for offshore application. Journal of wind Engineering and Industrial Aerodynamics, 2001, 89: 271-291.

DOI: 10.1016/s0167-6105(00)00082-9

Google Scholar

[6] Manwell J F, Rogers A L, McGowan L G, et al. An offshore wind resource assessment study for New England Renewable Energy.

DOI: 10.1016/s0960-1481(01)00183-5

Google Scholar

[7] Li Zechun, Zhu Rong, He Xiaofeng, et al. study on the assessment technology of wind energy resource. ACTA Meteorologica SINICA, 2007, 65(5): 708-717.

Google Scholar

[8] Feng Shuanglei, Wang Weisheng, Liu Chun, et al. The application of NCEP/NCAR reanalysis data to the assessment of the wind resource. Resources science, 2009, 31(7).

Google Scholar

[9] Ding Yun. Application of QuikSCAT/NCEP blended winds data in offshore wind resource evaluation. Hydropower and new energy, 2011, 94: 69-71.

Google Scholar