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Big Adaptive Rotor Phase I Final Report

Johnson, Nick J.; Paquette, Joshua P.; Bortolotti, Pietro B.; Bolinger, Mark B.; Camarena, Ernesto C.; Anderson, Evan M.; Ennis, Brandon L.

The Big Adaptive Rotor (BAR) project was initiated by the U.S. Department of Energy (DOE) in 2018 with the goal of identifying novel technologies that can enable large (>100 meter [m]) blades for low-specific-power wind turbines. Five distinct tasks were completed to achieve this goal: 1. Assessed the trends, impacts, and value of low-specific-power wind turbines; 2. Developed a wind turbine blade cost-reduction road map study; 3. Completed research-and-development opportunity screening; 4. Performed detailed design and analysis; and, 5. Assessed low-cost carbon fiber. These tasks were completed by the national laboratory team consisting of Sandia National Laboratories (Sandia), the National Renewable Energy Laboratory (NREL), and Lawrence Berkeley National Laboratory.

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TYPE Other Report YEAR 2021
OSTIDOI

Uncertainty Quantification of Leading Edge Erosion Impacts on Wind Turbine Performance

Journal of Physics: Conference Series

Maniaci, David C.; Westergaard, Carsten H.; Hsieh, Alan H.; Paquette, Joshua P.

Many factors that influence the effect of leading edge erosion on annual energy production are uncertain, such as the time to initiation, damage growth rate, the blade design, operational conditions, and atmospheric conditions. In this work, we explore how the uncertain parameters that drive leading edge erosion impact wind turbine power performance using a combination of uncertainty quantification and wind turbine modelling tools, at both low and medium fidelity. Results will include the predicted effect of erosion on several example wind plant sites for representative ranges of wind turbine designs, with a goal of helping wind plant operators better decide mitigation strategies.

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TYPE Conference Poster YEAR 2020
ScopusOSTI

Investigation of flutter for large, highly flexible wind turbine blades

Journal of Physics: Conference Series

Kelley, C.L.; Paquette, Joshua P.

Improvements to the Sandia blade aeroelastic stability tool have been implemented to predict flutter for large, highly flexible wind turbine blade designs. The aerodynamic lift and moment caused by harmonic edge-wise motion are now included, but did not change the flutter solution, even for highly flexible blades. Flutter analysis of future, large blade designs is presented based on scaling trends. The analysis shows that flutter speed decreases at a rate similar to maximum rotor speed for increasing blade sizes: Ωflutter, α, Ω α, 1/L. This indicates the flutter margin is not directly affected by blade length. Rather, it was innovative design technology choices that predicted flutter in previous studies. A 100 m blade, flexible enough to be rail transported, was analyzed and it exhibited soft flutter below rated rotor speed. This indicated that excessive fatigue damage may occur due to limit cycle oscillations for blades that incorporate highly flexible designs.

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TYPE Conference Poster YEAR 2020
ScopusOSTI
Results 1–25 of 122
Results 1–25 of 122