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, z. 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, z, are processed in order to obtain a structural response parameter, y, where in separate statistical studies, y is taken to be either an equivalent fatigue load or an extreme load. This study describes a procedure by which the important “dependencies” of y on the various variables contained in the inflow parameter vector, x, may be determined considering all the available data. These dependencies of y 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.

Sutherland, H.J., P.L. Jones, and B. Neal, 2001, “The Long-Term Inflow and Structural Test Program,” 2001 ASME Wind Energy Symposium, AIAA-2001-0039, pp. 1–12.
Berg, D., and J. Zayas, 2001, Accurate Time-Linked Data Acquisition System Field Deployment and Operational Experience, 2001 ASME Wind Energy Symposium, AIAA/ASME, pp. 153–161.
, “
Analysis of the Structural and Inflow Data from the LIST Turbine
ASME J. Sol. Energy Eng.
), pp.
Sutherland, H.J., 2001, “Preliminary Analysis of the Structural and Inflow Data from the LIST Turbine,” 2001 ASME Wind Energy Symposium, AIAA-2001-0041, pp. 1–12.
Sutherland, H.J., 1999, On the Fatigue Analysis of Wind Turbines, SAND99-0089, Sandia National Laboratories, Albuquerque, NM, 132 p.
Fragoulis, A.N., 1997, “The Complex Terrain Wind Environment and Its Effects on the Power Output and Loading of Wind Turbines,” 1997 ASME Wind Energy Symposium, AIAA/ASME, pp. 33–40.
G. Glinou and A. Fragoulis, eds., 1996, Mounturb Final Report, 3 vols., JOU2-CT93-0378.
Kelley, N.D., “The Identification of Inflow Fluid Dynamics Parameters that can be Used to Scale Fatigue Loading Spectra of Wind Turbine Structural Components,” 1994 ASME Wind Energy Symposium, ASME, pp. 181–196.
Rohatgi, J.S., and V. Nelson, 1994, Wind Characteristics, An Analysis for the Generation of Wind Power, Alternative Energy Institute, Canyon, TX, 237p.
Kelley, N.D., and H.E. McKenna, 1996, “The Evaluation of a Turbulent Loads Characterization System.” 1996 ASME Wind Energy Symposium, ASME, pp. 69–77.
Kelley, N.D., A.D. Wright, M.L. Buhl, Jr., and J.L. Tangler, 1997, “Long-Term Simulation of Turbulence-Induced Loads Using the SNL WINd-3D, FAST, YawDyn, and ADAMS Numerical Codes,” 1997 ASME Wind Energy Symposium, ASME, pp. 74–85.
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