Analysis of the Structural and Inflow Data From the List TurbineSource: Journal of Solar Energy Engineering:;2002:;volume( 124 ):;issue: 004::page 432Author:Herbert J. Sutherland
DOI: 10.1115/1.1507763Publisher: 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) ,
|
Collections
Show full item record
contributor author | Herbert J. Sutherland | |
date accessioned | 2017-05-09T00:08:36Z | |
date available | 2017-05-09T00:08:36Z | |
date copyright | November, 2002 | |
date issued | 2002 | |
identifier issn | 0199-6231 | |
identifier other | JSEEDO-28327#432_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/127406 | |
description 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Analysis of the Structural and Inflow Data From the List Turbine | |
type | Journal Paper | |
journal volume | 124 | |
journal issue | 4 | |
journal title | Journal of Solar Energy Engineering | |
identifier doi | 10.1115/1.1507763 | |
journal fristpage | 432 | |
journal lastpage | 445 | |
identifier eissn | 1528-8986 | |
keywords | Wind velocity | |
keywords | Stress | |
keywords | Turbines | |
keywords | Blades | |
keywords | Inflow | |
keywords | Fatigue | |
keywords | Wind AND Spectra (Spectroscopy) | |
tree | Journal of Solar Energy Engineering:;2002:;volume( 124 ):;issue: 004 | |
contenttype | Fulltext |