強化学習による勾玉形垂直軸風車ブレードの断面形状改良

DOI

書誌事項

タイトル別名
  • Improvement of Cross Section of Magatama Type VAWT Blade by Reinforcement Learning

抄録

<p>Magatama type blade configuration, which has been exclusively designed for vertical axis wind turbine (VAWT), is improved by Reinforcement Learning (RL). In this RL, VAWT blade configuration that generates larger aerodynamic force in direction of rotor rotation is developed. Power performances of the VAWT with the improved new Magatama type blades are tested by wind tunnel experiments. Results show the power from the VAWT rotor with the new Magatama blades is increased. Flow structure around the new Magatama blades in the VAWT rotor and aerodynamic forces generated by the blades are investigated by unsteady numerical simulation. Results show the new blades increase rotational force in downwind zone. In this downwind zone, direction of aerodynamic force is close to that of rotor rotation.</p>

収録刊行物

  • 実験力学

    実験力学 23 (3), 220-228, 2023-09-20

    日本実験力学会

キーワード

詳細情報 詳細情報について

  • CRID
    1390298068225647872
  • DOI
    10.11395/jjsem.23.220
  • ISSN
    18844219
    13464930
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
  • 抄録ライセンスフラグ
    使用不可

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