Assessing Long-Term Wind Conditions by Combining Different Measure-Correlate-Predict Algorithms [electronic resource] : Preprint

• Ngôn ngữ: eng
• Ký hiệu phân loại: 333.9 Other natural resources
• Thông tin xuất bản: Golden, Colo. : Oak Ridge, Tenn. : National Renewable Energy Laboratory (U.S.) ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2013
• Mô tả vật lý: Size: 13 pp. : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 258894
• Chủ đề: 1. 17 wind energy; 2. Power generation; 3. Renewable energy; 4. Wind distribution; 5. Wind resource assessment

Tóm tắt

This paper significantly advances the hybrid measure-correlate-predict (MCP) methodology, enabling it to account for variations of both wind speed and direction. The advanced hybrid MCP method uses the recorded data of multiple reference stations to estimate the long-term wind condition at a target wind plant site. The results show that the accuracy of the hybrid MCP method is highly sensitive to the combination of the individual MCP algorithms and reference stations. It was also found that the best combination of MCP algorithms varies based on the length of the correlation period.