Wind turbine tower optimization method using a genetic algorithm

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48 Citations (Scopus)


A wind turbine tower optimization program was developed, using a genetic algorithm. This allowed a rational analysis to reduce the mass of turbine towers, by considering, for example, the distributions of diameter and wall thickness, and the positions of flanges and access ports to navigation lights. Both extreme and fatigue loads were calculated, based on wind turbine design requirements and the Building Standard Law of Japan. Therefore, the aero-elastic characteristics and the controller of each turbine were considered. Furthermore, sensitivities to some representative design parameters were also investigated in case studies of the SUBARU80/20, 2 MW turbine.

Original languageEnglish
Pages (from-to)453-470
Number of pages18
JournalWind Engineering
Issue number6
Publication statusPublished - Dec 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

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


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