A design concept for a wind turbine blade with an adaptive twist transformation is presented. The design improves partial-load wind capture by adapting the twist distribution in relation to wind speed. Structural adaptability is enabled by actuating a series of compliant sections that are mounted on a relatively rigid spar. The sections are assumed to have a unique stiffness that is achievable through additive manufacturing technology. The authors' prior work employed an aerodynamic model to establish the theoretical blade twist distribution as a function of wind speed. The work in this paper focuses on a method to optimize the stiffness of each blade section that has been previously defined. A mathematical model is proposed to support design optimization. The model is parameterized in terms of actuator locations and the torsional stiffness ratios of each blade section. These parameters are optimized to allow the blade to adapt its twist distribution to match the prescribed configurations. The optimization is completed using a weighted-least squares approach that minimizes the error between the theoretical and practical design. The selected solution is based upon the configuration that maximizes production. Weights are assigned to bias the performance of the blade toward different operating regimes. Our results indicate that quadratically penalizing twist angle errors toward the blade tip increases power capture. A Rayleigh distribution is used to create three sets of wind data, which vary in average speed. These sets of data are used to evaluate the performance of the proposed blade and design technique.
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Weighted Least Squares Approach for an Adaptive Aerodynamic Engineered Structure With Twist Transformation
Fuzhao Mou,
Fuzhao Mou
Department of Mechanical and
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
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Hamid Khakpour Nejadkhaki,
Hamid Khakpour Nejadkhaki
Department of Mechanical and
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
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Aaron Estes,
Aaron Estes
Department of Mechanical and
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
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John F. Hall
John F. Hall
Department of Mechanical and
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
e-mail: johnhall@buffalo.edu
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
e-mail: johnhall@buffalo.edu
Search for other works by this author on:
Fuzhao Mou
Department of Mechanical and
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
Hamid Khakpour Nejadkhaki
Department of Mechanical and
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
Aaron Estes
Department of Mechanical and
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
John F. Hall
Department of Mechanical and
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
e-mail: johnhall@buffalo.edu
Aerospace Engineering,
University at Buffalo—SUNY,
Buffalo, NY 14260
e-mail: johnhall@buffalo.edu
1Corresponding author.
Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received July 6, 2018; final manuscript received January 15, 2019; published online February 18, 2019. Assoc. Editor: Christopher Niezrecki.
J. Energy Resour. Technol. May 2019, 141(5): 051207 (11 pages)
Published Online: February 18, 2019
Article history
Received:
July 6, 2018
Revised:
January 15, 2019
Citation
Mou, F., Nejadkhaki, H. K., Estes, A., and Hall, J. F. (February 18, 2019). "Weighted Least Squares Approach for an Adaptive Aerodynamic Engineered Structure With Twist Transformation." ASME. J. Energy Resour. Technol. May 2019; 141(5): 051207. https://doi.org/10.1115/1.4042642
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