Effective Quantification of Wind-Speed Variability at Different Temporal Scales [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 333.9 Other natural resources
• Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Energy Efficiency and Renewable Energy ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2018
• Mô tả vật lý: Size: 2.2 MB : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 258086
• Chủ đề: 1. 17 wind energy; 2. Resource distribution; 3. Variabilities; 4. Wind power; 5. Wind-speed fluctuations

Tóm tắt

RCoV, a statistically robust and resistant metric, effectively characterizes and correlates the spreads of the distributions of wind resources and wind-energy productions. Using RCoV, a wind farm with high wind-speed fluctuations possesses high variations in wind-energy generation and vice versa. Because the long-term correlations between the wind-speed and energy-production interannual variabilities are weak and decrease with the length of data, we do not recommend calculating variabilities with yearly mean data. Skewness and kurtosis drastically change with averaging time frames. Nonzero skewness and kurtosis illustrate that the Gaussian assumption is principally inadequate in most of the United States for all averaging time frames of wind speeds.