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Wind Energy Potentials and Its Trend in the South China Sea

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Listed:
  • Adekunle Osinowo
  • Xiaopei Lin
  • Dongliang Zhao
  • Zhifeng Wang

Abstract

Using a 30year (1976-2005) daily high-resolution reanalysis wind field dataset assimilated from several meteorological data sources, the wind speed and power characteristics of the South China Sea (SCS) were investigated using the Weibull shape and scale parameters. The region in general showed good wind characteristics. This is shown by high annual mean wind speed and power density values which are 5.93 m/s and 273.84 W/m2 respectively. The calculated annual mean wind power resource attributes the region to a relatively high potential site for large- scale grid connected wind turbine applications. The wind power ranged between 96.27 W/m2 in May and 527.03 W/m2 in December. Furthermore, spatio-temporal variations showed that strong trends in wind power exist in Luzon strait in the northern SCS and Xisha, Zhongsha, Luzon, Liyue bank in the central SCS which are evaluated as high wind potential regions and may be rated as locations excellent for installation of large wind turbines for electrical energy generation. Non-significant and negative trends dominate the southern SCS and may therefore, be suitable for small wind applications. The wind power density exhibited a significant increasing trend of 1.4 W/m2 yr-1 in the SCS as a whole throughout the study period. The trend is strongest (2.8 W/m2 yr-1) in winter.

Suggested Citation

  • Adekunle Osinowo & Xiaopei Lin & Dongliang Zhao & Zhifeng Wang, 2016. "Wind Energy Potentials and Its Trend in the South China Sea," Energy and Environment Research, Canadian Center of Science and Education, vol. 6(2), pages 1-36, December.
    • Handle: RePEc:ibn:eerjnl:v:6:y:2016:i:2:p:36
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    References listed on IDEAS

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    1. Keyhani, A. & Ghasemi-Varnamkhasti, M. & Khanali, M. & Abbaszadeh, R., 2010. "An assessment of wind energy potential as a power generation source in the capital of Iran, Tehran," Energy, Elsevier, vol. 35(1), pages 188-201.
    2. Xydis, G. & Koroneos, C. & Loizidou, M., 2009. "Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece," Applied Energy, Elsevier, vol. 86(11), pages 2411-2420, November.
    3. Saleh, H. & Abou El-Azm Aly, A. & Abdel-Hady, S., 2012. "Assessment of different methods used to estimate Weibull distribution parameters for wind speed in Zafarana wind farm, Suez Gulf, Egypt," Energy, Elsevier, vol. 44(1), pages 710-719.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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