Application of a genetic algorithm to wind turbine design

Michael S. Selig, Victoria L. Coverstone-Carroll

Research output: Contribution to conferencePaperpeer-review


This paper presents an optimization procedure for stall-regulated horizontal-axis wind-turbines. A hybrid approach is used that combines the advantages of a genetic algorithm and an inverse design method. This method is used to determine the optimum blade pitch and blade chord and twist distributions that maximize the annual energy production. To illustrate the method, a family of 25 wind turbines was designed to examine the sensitivity of annual energy production to changes in the rotor blade length and peak rotor power. Trends are revealed that should aid in the design of new rotors for existing turbines. In the second application, a series of five wind turbines was designed to determine the benefits of specifically tailoring wind turbine blades for the average wind speed at a particular site. The results have important practical implications related to rotors designed for the Midwest versus those where the average wind speed may be greater.

Original languageEnglish (US)
Number of pages9
StatePublished - 1995
EventProceedings of the Energy-Sources Technology Conference and Exhibition - Houston, TX, USA
Duration: Jan 29 1995Feb 1 1995


OtherProceedings of the Energy-Sources Technology Conference and Exhibition
CityHouston, TX, USA

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Mechanical Engineering


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