Texas Tech University

Multivariate Design and Optimization of AeroMINE Internal Turbine Blade


View Video Presentation: https://doi.org/10.2514/6.2021-3368.vid 

Multivariate designs using three optimization procedures were performed on a low Reynolds number (order 100,000) turbine blade that maximized lift over drag. The turbine blade was created to interface to AeroMINE, a novel wind energy harvester that has no external moving parts. To speed up the optimization process, an interpolation-based procedure using the Proper Orthogonal Decomposition (POD) method was used. This method was used in two ways: by itself (POD-i) and as an initial guess to a full-order model (FOM) solution that is truncated before it reaches full convergence (POD-i with truncated FOM). To compare the result of these methods and their efficiency, optimization using a FOM was also conducted. It was found that there exists a trade off between efficiency and optimal result. The FOM found the highest L/D of 28.87 while POD-i found a L/D of 16.19 and POD-i with truncated FOM found a L/D of 19.11. Nonetheless, POD-i and POD-i with truncated FOM were 32,302 and 697 times faster than the FOM, respectively.


Elizabeth H. Krath, Brent Houchens, David Marian, Suhas Pol and Carsten Westergaard


Turbine Blades, Reynolds Number, Wind Energy, Reynolds Averaged Navier Stokes, Airfoil Geometry, Space Exploration, Design of Experiments, Flow Separation, Wind Tunnels, Singular Value Decomposition

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Full Citation

Krath, E. H., Houchens, B., Marian, D., Pol, S., & Westergaard, C. (2021). Multivariate Design and Optimization of AeroMINE Internal Turbine Blade. In AIAA Propulsion and Energy 2021 Forum (p. 3368).

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Renewable Energy