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TECHNICAL PAPERS

Predicting Design Wind Turbine Loads from Limited Data: Comparing Random Process and Random Peak Models

[+] Author and Article Information
LeRoy M. Fitzwater, Steven R. Winterstein

Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 94305-4020

J. Sol. Energy Eng 123(4), 364-371 (Jul 01, 2001) (8 pages) doi:10.1115/1.1409561 History: Received March 01, 2001; Revised July 01, 2001
Copyright © 2001 by ASME
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References

Figures

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Simulated wind and blade loads; V=45 m/sec
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Simulated wind and blade loads; V=20 m/sec
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Correlation between successive peaks; V=45 m/sec
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Empirical and fitted quadratic Weibull probability distributions of response peaks; V=45 m/sec
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Empirical and fitted quadratic Weibull probability distributions of response peaks; V=20 m/sec
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Empirical and fitted quadratic Weibull probability distributions of shifted edge bending response peaks above 1.5; V=20 m/sec
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Bias =μ̄/M̄, where μ̄ is the average estimate of the mean 10-min maximum over the 100 simulations. M̄ is the average of the observed 10-min maxima. The wind speed is V=45 m/sec
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Sigma reduction σμM between estimated and observed 10-min maxima; V=45 m/sec
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Bias =μ̄/M̄, where μ̄ is the average estimate of the mean 10-min maximum over the 100 simulations. M̄ is the average of the observed 10-min maxima. The wind speed is V=20 m/sec.
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Sigma reduction σμM between estimated and observed 10-min maxima; V=20 m/sec
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Estimated mean maxima over various time intervals; edge bending V=20 m/sec
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Estimated mean maxima over various time intervals; edge bending V=20 m/sec
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Mean and standard deviation of 10-minute maxima; observed and fitted results
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Long-term distribution, including and excluding load randomness, given wind speed V
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Long-term distribution, uncertainty using N=4 or 8, 10-minute time histories

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