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Wind energy estimation of the Wol-Ryong coastal region

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  • Lim, Hee-Chang
  • Jeong, Tae-Yoon

Abstract

For the feasibility study of a wind energy site, accurate information on the flow field within the given full-scale site is a prerequisite. Two 2-D ultrasonic anemometers and one cup anemometer, located perpendicular to the prevailing wind direction, were used to measure the mean and instantaneous wind velocities at a height of 4.5 m. The experiments showed that the Reynolds number was about 6.7 × 105 (based on the sensor height and the wind velocity) and the friction velocity, u* about 0.32 ms−1. The power-spectrum analysis on horizontal and vertical wind speed was conducted over a wide range of frequencies by joining together various portions of the spectrum. There appeared to be four major eddy-energy peaks in the spectrum; each peak occurred at periods of about 1 or 2 min, 8 h, 24 h and 100 h. Between the peaks, a broad spectral gap was centered at a frequency ranging from 0.2 to 10 cycles per hour. On the basis of an overall analysis of the short-term data measured in Wol-Ryong, Jeju Island, it is concluded that for the development of future wind energy resources, the Wol-Ryong site is a good candidate for a future wind energy site.

Suggested Citation

  • Lim, Hee-Chang & Jeong, Tae-Yoon, 2010. "Wind energy estimation of the Wol-Ryong coastal region," Energy, Elsevier, vol. 35(12), pages 4700-4709.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:12:p:4700-4709
    DOI: 10.1016/j.energy.2010.09.029
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    References listed on IDEAS

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    Cited by:

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    2. Oh, Ki-Yong & Kim, Ji-Young & Lee, Jae-Kyung & Ryu, Moo-Sung & Lee, Jun-Shin, 2012. "An assessment of wind energy potential at the demonstration offshore wind farm in Korea," Energy, Elsevier, vol. 46(1), pages 555-563.
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    4. Woolmington, T. & Sunderland, K. & Blackledge, J. & Conlon, M., 2014. "The progressive development of turbulence statistics and its impact on wind power predictability," Energy, Elsevier, vol. 77(C), pages 25-34.
    5. Karthikeya, B.R. & Negi, Prabal S. & Srikanth, N., 2016. "Wind resource assessment for urban renewable energy application in Singapore," Renewable Energy, Elsevier, vol. 87(P1), pages 403-414.
    6. Arslan, Talha & Bulut, Y. Murat & Altın Yavuz, Arzu, 2014. "Comparative study of numerical methods for determining Weibull parameters for wind energy potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 820-825.
    7. Kim, Yong-Hwan & Lim, Hee-Chang, 2017. "Effect of island topography and surface roughness on the estimation of annual energy production of offshore wind farms," Renewable Energy, Elsevier, vol. 103(C), pages 106-114.
    8. Lydia, M. & Suresh Kumar, S. & Immanuel Selvakumar, A. & Edwin Prem Kumar, G., 2015. "Wind resource estimation using wind speed and power curve models," Renewable Energy, Elsevier, vol. 83(C), pages 425-434.

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