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    Analysis of the Structural and Inflow Data From the List Turbine

    Source: Journal of Solar Energy Engineering:;2002:;volume( 124 ):;issue: 004::page 432
    Author:
    Herbert J. Sutherland
    DOI: 10.1115/1.1507763
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The Long-term Inflow and Structural Test (LIST) program is collecting long-term, continuous inflow and structural response data to characterize the spectrum of loads on wind turbines. A heavily instrumented Micon 65/13M turbine with Phoenix 8m blades is being used as the test turbine for the first measurement campaign of this program. This turbine is located in Bushland, TX, a test site that exposes the turbine to a wind regime representative of a Great Plains commercial site. The turbine and inflow are being characterized with 60 measurements: 34 to characterize the inflow, 19 to characterize structural response, and seven to characterize the time-varying state of the turbine. In this paper, an analysis of the structural and inflow data is presented. Particular attention is paid to the determination of the various structural loads on the turbine, long-term fatigue spectra and the correlation of various inflow descriptors with fatigue loads. For the latter analysis, the inflow is described by various parameters, including the mean, standard deviation, skewness and kurtosis of the hub-height horizontal wind speed, turbulence intensity, turbulence length scales, Reynolds stresses, local friction velocity, Obukhov length, and the gradient Richardson number. The fatigue load spectrum corresponding to these parameters is characterized as an equivalent fatigue load. A regression analysis is then used to determine which parameters are correlated to the fatigue loads. The results illustrate that the vertical component of the inflow is the most important of the secondary inflow parameters with respect to fatigue loads. Long-term fatigue spectra illustrate that extrapolation of relatively short-term data to longer times is consistent for the data reported here.
    keyword(s): Wind velocity , Stress , Turbines , Blades , Inflow , Fatigue , Wind AND Spectra (Spectroscopy) ,
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      Analysis of the Structural and Inflow Data From the List Turbine

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    http://yetl.yabesh.ir/yetl1/handle/yetl/127406
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    contributor authorHerbert J. Sutherland
    date accessioned2017-05-09T00:08:36Z
    date available2017-05-09T00:08:36Z
    date copyrightNovember, 2002
    date issued2002
    identifier issn0199-6231
    identifier otherJSEEDO-28327#432_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/127406
    description abstractThe Long-term Inflow and Structural Test (LIST) program is collecting long-term, continuous inflow and structural response data to characterize the spectrum of loads on wind turbines. A heavily instrumented Micon 65/13M turbine with Phoenix 8m blades is being used as the test turbine for the first measurement campaign of this program. This turbine is located in Bushland, TX, a test site that exposes the turbine to a wind regime representative of a Great Plains commercial site. The turbine and inflow are being characterized with 60 measurements: 34 to characterize the inflow, 19 to characterize structural response, and seven to characterize the time-varying state of the turbine. In this paper, an analysis of the structural and inflow data is presented. Particular attention is paid to the determination of the various structural loads on the turbine, long-term fatigue spectra and the correlation of various inflow descriptors with fatigue loads. For the latter analysis, the inflow is described by various parameters, including the mean, standard deviation, skewness and kurtosis of the hub-height horizontal wind speed, turbulence intensity, turbulence length scales, Reynolds stresses, local friction velocity, Obukhov length, and the gradient Richardson number. The fatigue load spectrum corresponding to these parameters is characterized as an equivalent fatigue load. A regression analysis is then used to determine which parameters are correlated to the fatigue loads. The results illustrate that the vertical component of the inflow is the most important of the secondary inflow parameters with respect to fatigue loads. Long-term fatigue spectra illustrate that extrapolation of relatively short-term data to longer times is consistent for the data reported here.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAnalysis of the Structural and Inflow Data From the List Turbine
    typeJournal Paper
    journal volume124
    journal issue4
    journal titleJournal of Solar Energy Engineering
    identifier doi10.1115/1.1507763
    journal fristpage432
    journal lastpage445
    identifier eissn1528-8986
    keywordsWind velocity
    keywordsStress
    keywordsTurbines
    keywordsBlades
    keywordsInflow
    keywordsFatigue
    keywordsWind AND Spectra (Spectroscopy)
    treeJournal of Solar Energy Engineering:;2002:;volume( 124 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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