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Mesoscale Simulation of Year-to-Year Variation of Wind Power Potential over Southern China

Author

Listed:
  • Steve H.L. Yim

    (Institute for the Environment, The Hong Kong University of Science and Technology, Hong Kong, China)

  • Jimmy C.H. Fung

    (Institute for the Environment, The Hong Kong University of Science and Technology, Hong Kong, China
    Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China)

  • Alexis K.H. Lau

    (Institute for the Environment, The Hong Kong University of Science and Technology, Hong Kong, China
    Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China)

Abstract

The objectives of this study are to combine historical observations and state-of-the-art numerical models (MM5/CALMET system) to map the spatial distribution of wind resources in high resolution, and to help foster a deeper understanding of the wind power potential over southern China (Guangdong). Hourly wind fields were simulated for three entire years (2004-2006). It found that almost 70% of the time, the wind speed along the coast of Guangdong is over 5 m/s, which is deemed a baseline magnitude for typical wind turbines. Spatial plots of the wind speed and power and their variations over Guangdong Province for the three years are also presented.

Suggested Citation

  • Steve H.L. Yim & Jimmy C.H. Fung & Alexis K.H. Lau, 2009. "Mesoscale Simulation of Year-to-Year Variation of Wind Power Potential over Southern China," Energies, MDPI, vol. 2(2), pages 1-22, June.
    • Handle: RePEc:gam:jeners:v:2:y:2009:i:2:p:340-361:d:5117
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    References listed on IDEAS

    as
    1. Abderrazzaq, M.H., 2004. "Energy production assessment of small wind farms," Renewable Energy, Elsevier, vol. 29(15), pages 2261-2272.
    2. Li, G, 2000. "Feasibility of large scale offshore wind power for Hong Kong — a preliminary study," Renewable Energy, Elsevier, vol. 21(3), pages 387-402.
    3. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2006. "Wind power potential and characteristic analysis of the Pearl River Delta region, China," Renewable Energy, Elsevier, vol. 31(6), pages 739-753.
    4. Lu, Lin & Yang, Hongxing & Burnett, John, 2002. "Investigation on wind power potential on Hong Kong islands—an analysis of wind power and wind turbine characteristics," Renewable Energy, Elsevier, vol. 27(1), pages 1-12.
    5. Weisser, D, 2003. "A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function," Renewable Energy, Elsevier, vol. 28(11), pages 1803-1812.
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    Cited by:

    1. Milanese, Marco & Tornese, Ljuba & Colangelo, Gianpiero & Laforgia, Domenico & de Risi, Arturo, 2017. "Numerical method for wind energy analysis applied to Apulia Region, Italy," Energy, Elsevier, vol. 128(C), pages 1-10.

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    Keywords

    wind power map; mesoscale modeling;

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