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    • Keywords


      Wind speed prediction; wavelets; fast Fourier transform; power spectrum; wind energy.

    • Abstract


      Understanding the inherent features of wind speed (variability on different time scales) has become critical for assured wind power availability, grid stability, and effective power management. The study utilizes the wavelet, autocorrelation, and FFT (fast Fourier transform) techniques to analyze and assimilate the fluctuating nature of wind speed data collected over a period of 29–42 years at different locations in the Kingdom of Saudi Arabia. The analyses extracted the intrinsic features of wind speed, including the long-term mean wind speed and fluctuations at different time scales (periods), which is critical for meteorological purposes including wind power resource assessment and weather forecasting. The longterm mean wind speed varied between 1.45 m/s at Mecca station and 3.73 m/s at Taif. The annual variation is the largest (±0.97 m/s) at Taif and the smallest (±0.25 m/s) at Mecca. Similarly, the wind speed fluctuation with different periods was also discussed in detail. The spectral characteristics obtained using FFT reveal that Al-Baha, Najran, Taif and Wadi-Al-Dawasser having a sharp peak at a frequency f = 0.00269 (1/day) retain a more regular annual repetition of wind speed than Bisha, Khamis-Mushait, Madinah, Mecca, and Sharourah. Based on the autocorrelation analysis and FFT results, the stations are divided into three groups: (i) having strong annual modulations (Al-Baha, Najran, Taif and Wadi-Al-Dawasser), (ii) having comparable annual and half-yearly modulations (Bisha, Khamis-Mushait, and Mecca) and (iii) having annual modulation moderately prominent (Madinah and Sharourah).

    • Author Affiliations


      Qinmin Zheng1 S Rehman2 Md Mahbub Alam1 L M Alhems3 A Lashin3 4

      1. Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China.
      2. Center for Engineering Research, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran-31261, Saudi Arabia.
      3. College of Engineering, Petroleum and Natural Gas Engineering Department, King Saud University, Riyadh, Saudi Arabia.
      4. Department of Geology, Benha University, P.O. Box 13518, Benha, Egypt.
    • Dates

  • Journal of Earth System Science | News

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      Posted on July 25, 2019

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