Estimation of fatigue and extreme load distributions from limited data with application to wind energy systems.
- Stanford University, Stanford, CA
An estimate of the distribution of fatigue ranges or extreme loads for wind turbines may be obtained by separating the problem into two uncoupled parts, (1) a turbine specific portion, independent of the site and (2) a site-specific description of environmental variables. We consider contextually appropriate probability models to describe the turbine specific response for extreme loads or fatigue. The site-specific portion is described by a joint probability distribution of a vector of environmental variables, which characterize the wind process at the hub-height of the wind turbine. Several approaches are considered for combining the two portions to obtain an estimate of the extreme load, e.g., 50-year loads or fatigue damage. We assess the efficacy of these models to obtain accurate estimates, including various levels of epistemic uncertainty, of the turbine response.
- Research Organization:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 918211
- Report Number(s):
- SAND2004-0001; TRN: US200818%%311
- Country of Publication:
- United States
- Language:
- English
Similar Records
Application of the FAST2 code to prediction of fatigue loads for two-bladed teetering hub wind turbines
Probabilistic fatigue methodology and wind turbine reliability