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    Statistical Analysis of Wind Turbine Inflow and Structural Response Data from the LIST Program

    Source: Journal of Solar Energy Engineering:;2003:;volume( 125 ):;issue: 004::page 541
    Author:
    Luke D. Nelson
    ,
    Herbert J. Sutherland
    ,
    Paul S. Veers
    ,
    Lance Manuel
    DOI: 10.1115/1.1627831
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: 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.
    keyword(s): Statistical analysis AND Wind turbines ,
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      Statistical Analysis of Wind Turbine Inflow and Structural Response Data from the LIST Program

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    http://yetl.yabesh.ir/yetl1/handle/yetl/129038
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    contributor authorLuke D. Nelson
    contributor authorHerbert J. Sutherland
    contributor authorPaul S. Veers
    contributor authorLance Manuel
    date accessioned2017-05-09T00:11:18Z
    date available2017-05-09T00:11:18Z
    date copyrightNovember, 2003
    date issued2003
    identifier issn0199-6231
    identifier otherJSEEDO-28342#541_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/129038
    description abstractThe 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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStatistical Analysis of Wind Turbine Inflow and Structural Response Data from the LIST Program
    typeJournal Paper
    journal volume125
    journal issue4
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.1627831
    journal fristpage541
    journal lastpage550
    identifier eissn1528-8986
    keywordsStatistical analysis AND Wind turbines
    treeJournal of Solar Energy Engineering:;2003:;volume( 125 ):;issue: 004
    contenttypeFulltext
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