Wind turbine tower optimization method using genetic algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A wind turbine tower optimization program was developed, using a genetic algorithm. This allowed a rational analysis to reduce the mass of turbine tower, 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 SUBARU80/2.0, 2MW turbine.

Original languageEnglish
Title of host publicationEuropean Wind Energy Conference and Exhibition 2007, EWEC 2007
Pages1651-1655
Number of pages5
Publication statusPublished - Dec 1 2007
Externally publishedYes
EventEuropean Wind Energy Conference and Exhibition 2007, EWEC 2007 - Milan, Italy
Duration: May 7 2007May 10 2007

Publication series

NameEuropean Wind Energy Conference and Exhibition 2007, EWEC 2007
Volume3

Other

OtherEuropean Wind Energy Conference and Exhibition 2007, EWEC 2007
CountryItaly
CityMilan
Period5/7/075/10/07

All Science Journal Classification (ASJC) codes

  • Renewable Energy, Sustainability and the Environment

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  • Cite this

    Yoshida, S. (2007). Wind turbine tower optimization method using genetic algorithm. In European Wind Energy Conference and Exhibition 2007, EWEC 2007 (pp. 1651-1655). (European Wind Energy Conference and Exhibition 2007, EWEC 2007; Vol. 3).