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Wind turbine rotor design optimization using importance sampling : preprint / Ignas Satkauskas, Pietro Bortolotti, Evan Gaertner, Garrett E. Barter, Ryan King, and Peter A. Graf.
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View online- Format:
- Book
- Government document
- Author/Creator:
- Satkauskas, Ignas, author.
- Series:
- Conference paper (National Renewable Energy Laboratory (U.S.)) ; 2C00-75555.
- NREL/CP ; 2C00-75555
- Language:
- English
- Subjects (All):
- Wind turbines--Testing.
- Wind turbines.
- Sampling (Statistics).
- Physical Description:
- 1 online resource (11 pages) : color illustrations.
- Place of Publication:
- Golden, CO : National Renewable Energy Laboratory, 2020.
- Summary:
- Probabilistic methods are commonly adopted to estimate both ultimate and fatigue loads in wind turbines, and multiple papers have presented a variety of approaches. In contrast, system-level, integrated design optimization methods for wind turbines have so far relied on deterministic methods to estimate loads and deflections. This work aims at addressing this gap by adopting importance sampling to estimate ultimate blade deflection for use within a rotor design optimization. A comparison between the results of this approach against traditional approaches using deterministic load evaluations show that the probabilistic approach is more conservative and that the solutions found with deterministic approaches violate the probabilistic constraint on tip deflection between 13% and 17%. This highlights the importance of accurate load and deflection estimates and demonstrates that probabilistic approaches can be successfully integrated within a wind turbine design process despite the higher computational costs.
- Notes:
- Presented at the AIAA SciTech Forum and Exposition, 6-10 January 2020, Orlando, Florida.
- "March 2020."
- Includes bibliographical references.
- Description based on online resource; title from PDF title page (NREL, viewed on Oct. 19, 2020).
- OCLC:
- 1200847355
- Publisher Number:
- 0000-0002-8515-9488 orcid
- 0000-0001-6033-2654 orcid
- 0000-0001-7757-8853 orcid
- 1606108 OSTI ID
- Access Restriction:
- Publicly released
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