Relating Turbulence to Wind Turbine Blade Loads: Parametric Study with Multiple Regression Analysis-Reference-Cited by-同舟云学术

Relating Turbulence to Wind Turbine Blade Loads: Parametric Study with Multiple Regression Analysis

Published:1999-08-01 Issue:3 Volume:121 Page:156-161
ISSN:0199-6231
Container-title:Journal of Solar Energy Engineering
language:en
Short-container-title:

Author:

Kashef T.¹,Winterstein S. R.¹

Affiliation:

1. Dept. of Civil Engineering, Stanford University, Stanford, CA 94305

Abstract

Different wind parameters are studied to find a set that is most useful in estimating fatigue loads on wind turbine blades. The histograms of rainflow counted stress ranges are summarized through their first three statistical moments and regression analysis is used to estimate these moments in various wind conditions. A systematic method of comparing the ability of different wind parameters to estimate the moments is described and results are shown for flapwise loads on three HAWTs. In the case of two of these turbines, the stress ranges are shown to be highly correlated with a turbulence measure obtained by removing a portion of the low-frequency content of the wind.

Publisher

ASME International

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

http://asmedigitalcollection.asme.org/solarenergyengineering/article-pdf/121/3/156/5582063/156_1.pdf

Reference13 articles.

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2. Connell, J. R., Morris, V. R., Powell, D. C., and Glower, G. L., “The PNL Single-Tower Measurement Model of Rotationally Sampled Turbulent Wind, with User’s Guide for STRS2PC,” PNL-6580, Pacilic Northwest Laboratories, Richland, WA, 1988.

3. Jackson, K. L., “Deriving Fatigue Design Loads from Field Test Data,” WindPower ’92, AWEA, 1992.

4. Jha, A. K., and Winterstein, S. R., “CYCLES 2.0: Fatigue Reliability Models and Results for Wave and Wind Applications,” RMS Report 27, Reliability of Marine Structures Program, Civil Eng. Dept., Stanford University, 1997.

5. Kashef, T., and Winterstein, S. R., “Estimating Wind Turbine Blade Loads from Environmental Parameters,” to be published: SNL Report, Sandia National Laboratories, Albuquerque, NM, 1997.

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