In this paper we present a methodology for proceeding from the short-term observations of extreme loads to the long-run load distribution of these extreme events, for both flap and edge loading in both operating and parked wind turbine conditions. First a general approach utilizing full integration, where numerical routines are used to directly integrate the conditional short-term load distribution over the annual occurrence of wind speeds and turbulence intensities, is presented. Then starting from this general approach, a qualitative analysis is undertaken to explore the extent of the contribution of each of the three variables, in the governing equation, to the variability in the long-term extreme load distribution. From this analysis, lower order models are considered, where instead of using the entire distribution of the variables, a constant fractile of the short-term extreme load distribution, turbulence intensity distribution, or both are used. Finally recommendations are given to guide the analyst to decide when simpler, yet robust, methods which account for sufficient variability in extreme load event may be employed with confidence.
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ASME 2002 Wind Energy Symposium
January 14–17, 2002
Reno, Nevada, USA
Conference Sponsors:
- ASME
ISBN:
1-56347-476-X
PROCEEDINGS PAPER
Predicting the Long Term Distribution of Extreme Loads From Limited Duration Data: Comparing Full Integration and Approximate Methods
LeRoy M. Fitzwater
,
LeRoy M. Fitzwater
Stanford University, Stanford, CA
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Steven R. Winterstein
,
Steven R. Winterstein
Stanford University, Stanford, CA
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C. Allin Cornell
C. Allin Cornell
Stanford University, Stanford, CA
Search for other works by this author on:
LeRoy M. Fitzwater
Stanford University, Stanford, CA
Steven R. Winterstein
Stanford University, Stanford, CA
C. Allin Cornell
Stanford University, Stanford, CA
Paper No:
WIND2002-49, pp. 267-277; 11 pages
Published Online:
February 24, 2009
Citation
Fitzwater, LM, Winterstein, SR, & Cornell, CA. "Predicting the Long Term Distribution of Extreme Loads From Limited Duration Data: Comparing Full Integration and Approximate Methods." Proceedings of the ASME 2002 Wind Energy Symposium. ASME 2002 Wind Energy Symposium. Reno, Nevada, USA. January 14–17, 2002. pp. 267-277. ASME. https://doi.org/10.1115/WIND2002-49
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