Share This Article:

Spatial and Annual Variation of Offshore Wind Resource in China

Abstract Full-Text HTML XML Download Download as PDF (Size:555KB) PP. 111-118
DOI: 10.4236/epe.2014.66011    3,240 Downloads   3,949 Views  

ABSTRACT

According to the Chinese "Twelfth Five-Year Plan", two large scale wind farms are planned to be built in the shore of Shandong province and Guangdong province to meet the increasing electricity demand with economic development. Before the construction of wind farm, it is necessary to evaluate the wind potential and its temporal variation along the coast of Shandong province, Guangdong province and Zhejiang province that have been studied in this paper. The data used were obtained from Goddard Earth Observing System (GEOS) Data Assimilation System. The results showed that there is rich wind supply in Zhejiang province with small annual variation. Further away from shore, the wind energy will increase fastest in Guangdong area. The yield of wind energy in Shandong province is not as rich as in the other two provinces as predicted in the study. Furthermore, the layout of wind turbines in wind farm was also investigated to absorb wind energy at the highest efficiency by wind farm. Our results provide a reference for the future construction of wind farms.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Ge, L. , Uchida, T. and Ohya, Y. (2014) Spatial and Annual Variation of Offshore Wind Resource in China. Energy and Power Engineering, 6, 111-118. doi: 10.4236/epe.2014.66011.

References

[1] The World Bank Group (2010) China: Meeting the Challenges of Offshore and Large-Scale Wind Power. The World Bank Group, Washington DC.
[2] Li, J.F., Shi, P.F. and Gao, H. (2010) 2010 China Wind Power Outlook.
http://gwec.net/wp-content/uploads/2012/06/wind-report0919.pdf
[3] Environmental Change Institute (2005) Wind Power and the UK Wind Resource. Environmental Change Institute, Oxford.
[4] Lu, X. and McElroy, M.B. (2009) Global Potential for Wind-Generated Electricity. Proceedings of the National Academy of Sciences, 106, 10933-10938.
http://dx.doi.org/10.1073/pnas.0904101106
[5] OECD/International Energy Agency (2011) Technology Roadmaps: China Wind Energy Development Roadmap 2050. International Energy Agency, Paris.
[6] UNFCCC/CCNUCC (2012) United Nations Framework Convention on Climate Change Revision to the Approved Consolidated Baseline Methodology. ACM0002, 6-11.
[7] Liu, C. and He, X. (2003) The Analysis on the Statistical Character of QuikSCAT Scatteromter Winds and Strong Wind Frequency Using Remote Sensor Data from QuikSCAT. Journal of Tropical Meteorology, 19, 107-117.
[8] Xu, J.W., Luo, Y., Zhang, X.Z. and Zhu, R. (2008) China Offshore Wind Energy Resources Assessment with the QuikSCAT Data. Remote Sensing of the Ocean, Sea Ice, and Large Water Regions, 13 October 2008, 71050B.
[9] Rienecker, M.M. (2007) The GEOS-5 Data Assimilation System-Documentation. NASA Publication, USA.
[10] Yu, D.Y., Liang, J., Han, X.S. and Zhao, J.G. (2011) Profiling the Regional Wind Power Fluctuation in China. Energy Policy, 39, 299-306.
http://dx.doi.org/10.1016/j.enpol.2010.09.044
[11] NASA. The GEOS-5 System.
http://gmao.gsfc.nasa.gov/GEOS/
[12] Archer, C.L. and Jacobson, M.Z. (2007) Supplying Baseload Power and Reducing Transmission Requirements by Interconnecting Wind Farms. Journal of Applied Meteorology and Climatology, 46, 1701-1717.
http://dx.doi.org/10.1175/2007JAMC1538.1
[13] Chen, J.-C., Duan, W. and Ye, F. (2011) Research on the Methods Estimating Weibull Distribution Parameters. Machinery Design & Manufacture, 18, 73-74. (in Chinese)
[14] Hsu, S.A., Meindl, E.A. and Gilhousen, D.B. (1994) Determining the Power-Law Wind-Profile Exponent under Near-Neutral Stability Conditions at Sea. Journal of Applied Meteorology, 33, 757-772.
http://dx.doi.org/10.1175/1520-0450(1994)033<0757:DTPLWP>2.0.CO;2
[15] Musial, W. and Butterfield, S. (2004) Future for Offshore Wind Energy in the United States. Energy Ocean 2004, Palm Beach, 28-29 June 2004.
[16] Chen, K. and He, D.-X. (2003) The Study for the Wake Model of Wind Turbine and the Wake Effects on the Performance of Wind Turbine. Experiments and Measurements in Fluid Mechanics, 17, 84-87.
[17] Szasc, R., Kruger, J. and Fuchs, L. (2011) Numerical Evaluation of the Interaction of Two Wind Turbines for Varying Lateral Spacing. European Wind Energy Annual Event, Bruxelles, 3 November 2011.
http://proceedings.ewea.org/annual2011/allfiles2/1107_EWEA2011presentation.pdf
[18] Ohya, Y. and Karasudani, T. (2010) A Shrouded Wind Turbine Generating High Output Power with Wind-Lens Technology. Energies, 3, 634-649.
http://dx.doi.org/10.3390/en3040634

  
comments powered by Disqus

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.