This paper describes a multi-objective optimization method for the design of stall-regulated horizontal-axis wind turbines. Two modules are used for this purpose: an aerodynamic model implementing the blade-element theory and a multi-objective evolutionary algorithm. The former provides a sufficiently accurate solution of the flow field around the rotor disc; the latter handles the decision variables of the optimization problem, i.e., the main geometrical parameters of the rotor configuration, and promotes function optimization. The scope of the method is to achieve the best trade-off performance between two objectives: annual energy production per square meter of wind park (to be maximized) and cost of energy (to be minimized). Examples of the best solutions found by the method are described and their performance compared with those of commercial wind turbines.

Issue Section:
Technical Papers
Keywords:
wind turbines, rotors, wind power plants, aerodynamics, genetic algorithms, HAWT, Stall-Regulated Turbines, Aerodynamic Design, Evolutionary Computation, Genetic Algorithms, Multi-Objective Design
Topics:
Blades, Design, Horizontal axis wind turbines, Rotors, Turbines, Optimization, Evolutionary computation, Evolutionary algorithms, Flow (Dynamics), Wind farms, Wind turbines
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Copyright © 2002
 by ASME
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