The Long-Term Inflow and Structural Test (LIST) program is gathering inflow and structural response data on a modified version of the Micon 65/13 wind turbine at a test site near Bushland, Texas. Data from 491 ten-minute time data records are analyzed here to determine the dependency of fatigue and extreme loads on inflow parameters. Flap and edge bending moment ranges at a blade root are chosen as the structural response variable, Various parameters related to the inflow (including, for example, primary parameters such as the mean and standard deviation of the hub-height horizontal wind speed, and secondary parameters such as Reynolds stresses, vertical shear exponent, etc.) are each considered in an inflow parameter vector, x. Time series for the structural response, are processed in order to obtain a structural response parameter, where in separate statistical studies, is taken to be either an equivalent fatigue load or an extreme load. This study describes a procedure by which the important “dependencies” of on the various variables contained in the inflow parameter vector, x, may be determined considering all the available data. These dependencies of on x are then recomputed using only the data with above-rated mean wind speeds (taken to be approximately 13 m/s). The procedure employed is similar to other studies, but we do not bin the data sets by wind speed since dependencies in one wind speed bin may be different from those in other bins. Also, our procedure, in sharp contrast to previous studies, examines each inflow parameter in the vector, x, in a sequential analysis, rather than by using multivariate regression. Results from the present study suggest that the primary inflow parameters have a small amount of predictive power in establishing fatigue and extreme loads. In addition, large correlations that exist between several of the secondary parameters individually and each of the primary parameters make it difficult for the secondary parameters to provide any additional explanation of turbine response once the primary parameters have been accounted for.
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November 2003
Technical Papers
Statistical Analysis of Wind Turbine Inflow and Structural Response Data from the LIST Program
Luke D. Nelson,
Luke D. Nelson
Department of Civil Engineering, University of Texas at Austin, Austin, TX 78712
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Lance Manuel,
Lance Manuel
Department of Civil Engineering, University of Texas at Austin, Austin, TX 78712
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Herbert J. Sutherland,
Herbert J. Sutherland
Wind Energy Technology Department, Sandia National Laboratories, Albuquerque, NM 87185
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Paul S. Veers
Paul S. Veers
Wind Energy Technology Department, Sandia National Laboratories, Albuquerque, NM 87185
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Luke D. Nelson
Department of Civil Engineering, University of Texas at Austin, Austin, TX 78712
Lance Manuel
Department of Civil Engineering, University of Texas at Austin, Austin, TX 78712
Herbert J. Sutherland
Wind Energy Technology Department, Sandia National Laboratories, Albuquerque, NM 87185
Paul S. Veers
Wind Energy Technology Department, Sandia National Laboratories, Albuquerque, NM 87185
Contributed by the Solar Energy Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF SOLAR ENERGY ENGINEERING. Manuscript received by the ASME Solar Energy Division February 27, 2003; final revision, July 15, 2003. Associate Editor: D. Berg.
J. Sol. Energy Eng. Nov 2003, 125(4): 541-550 (10 pages)
Published Online: November 26, 2003
Article history
Received:
February 27, 2003
Revised:
July 15, 2003
Online:
November 26, 2003
Citation
Nelson , L. D., Manuel, L., Sutherland , H. J., and Veers, P. S. (November 26, 2003). "Statistical Analysis of Wind Turbine Inflow and Structural Response Data from the LIST Program ." ASME. J. Sol. Energy Eng. November 2003; 125(4): 541–550. https://doi.org/10.1115/1.1627831
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