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Wind turbine blade global optimum design using complex method

Journal Article


Abstract


  • This paper presents a global optimum design method for horizontal axis wind turbine (HAWT). The method refers to the wind speed distribution function on the specific wind site, with the objective to satisfy the maximum annual energy output, using complex method to carry on the global optimum searching. A 600 kW HAWT was designed with the wind speed distribution function on the Nan'ao wind site. The design results were compared with the original data of NM 600 kW HAWT to show the rationality. The comparison between the results of the Wilson method and the global optimum design method shows the advantage of the latter.

Publication Date


  • 2001

Citation


  • Liu, X., Chen, Y., & Ye, Z. Q. (2001). Wind turbine blade global optimum design using complex method. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 22(2), 157-161.

Scopus Eid


  • 2-s2.0-0035314506

Web Of Science Accession Number


Start Page


  • 157

End Page


  • 161

Volume


  • 22

Issue


  • 2

Abstract


  • This paper presents a global optimum design method for horizontal axis wind turbine (HAWT). The method refers to the wind speed distribution function on the specific wind site, with the objective to satisfy the maximum annual energy output, using complex method to carry on the global optimum searching. A 600 kW HAWT was designed with the wind speed distribution function on the Nan'ao wind site. The design results were compared with the original data of NM 600 kW HAWT to show the rationality. The comparison between the results of the Wilson method and the global optimum design method shows the advantage of the latter.

Publication Date


  • 2001

Citation


  • Liu, X., Chen, Y., & Ye, Z. Q. (2001). Wind turbine blade global optimum design using complex method. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 22(2), 157-161.

Scopus Eid


  • 2-s2.0-0035314506

Web Of Science Accession Number


Start Page


  • 157

End Page


  • 161

Volume


  • 22

Issue


  • 2