4th International Energy Conversion Engineering Conference and Exhibit (IECEC) 2006
DOI: 10.2514/6.2006-4051
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Wind Turbine Airfoil Performance Optimization Using the Vortex Lattice Method and a Genetic Algorithm

Abstract: This paper examines the viability of using the combination of the vortex lattice method for aerodynamic performance prediction with a genetic algorithm for the optimization of the aerodynamic performance of horizontal axis wind turbine blades. The work described in this paper includes the adaptation of a vortex lattice code designed to predict propeller performance to wind turbine performance prediction and the optimization process including results for both single point and multipoint design optimization effo… Show more

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Cited by 11 publications
(3 citation statements)
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“…Genetic algorithms along with the BEM theory were used also by Mendez and Greiner [6] for aerodynamic optimization with respect to blade chord and twist angle. Burger and Hartfield [7] examined the feasibility of using the combination of the vortex lattice method with the effect of the domain size on the prediction and the effect of parallelization on speed-up were discussed. The use of artificial neural networks was shown to reduce the computational time by almost 50%.…”
Section: Introductionmentioning
confidence: 99%
“…Genetic algorithms along with the BEM theory were used also by Mendez and Greiner [6] for aerodynamic optimization with respect to blade chord and twist angle. Burger and Hartfield [7] examined the feasibility of using the combination of the vortex lattice method with the effect of the domain size on the prediction and the effect of parallelization on speed-up were discussed. The use of artificial neural networks was shown to reduce the computational time by almost 50%.…”
Section: Introductionmentioning
confidence: 99%
“…For a practical problem, there is usually only one minimum or maximum on such a second-order polynomial surface, so the RSM is often regarded as a global optimization method. When compared with other global optimization techniques such as the genetic algorithm [11,12] or the traditional simplex optimizer [13], RSMs involve a much lower computational load. With these advantages, RSMs have been widely applied to single-and multidisciplinary optimization problems during the past decades [14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Propeller design optimizations using a genetic algorithm, has been used on wind turbines [8][9][10] , ship propellers 11 , helicopter rotor designs [12][13] and aircraft propellers 14 . As an integral part of developing the constant torque propeller, the blade shape is optimized in this effort using a GA driven vortex lattice code.…”
Section: Introductionmentioning
confidence: 99%