Multi-disciplinary constrained optimization of wind turbines |
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Authors: | C L Bottasso F Campagnolo A Croce |
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Affiliation: | (1) Department of Mechanical Engineering, Clemson University, 241 Engineering Innovation Building, Clemson, SC 29634-0921, USA;(2) Ozen Engineering, Inc., 1210 E. Arques Avenue, Suite 207, Sunnyvale, CA 94085, USA |
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Abstract: | We describe procedures for the multi-disciplinary design optimization of wind turbines, where design parameters are optimized
by maximizing a merit function, subjected to constraints that translate all relevant design requirements. Evaluation of merit
function and constraints is performed by running simulations with a parametric high-fidelity aero-servo-elastic model; a detailed
cross-sectional structural model is used for the minimum weight constrained sizing of the rotor blade. To reduce the computational
cost, the multi-disciplinary optimization is performed by a multi-stage process that first alternates between an aerodynamic
shape optimization step and a structural blade optimization one, and then combines the two to yield the final optimum solution.
A complete design loop can be performed using the proposed algorithm using standard desktop computing hardware in one-two
days. The design procedures are implemented in a computer program and demonstrated on the optimization of multi-MW horizontal
axis wind turbines and on the design of an aero-elastically scaled wind tunnel model. |
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