44th Wind Energy Symposium
Dec 1 - Dec 2, 2022
44th Wind Energy Symposium
Dec 1 - Dec 2, 2022
[A3-04]Development of a Japanese wake model and empirical research using a large commercial wind turbine-Part 1. Numerical prediction by CFD porous disk wake model-
○Takanori Uchida1, Susumu Takakuwa2, Keiichiro Watanabe2, Seiya Hasegawa2, Rintaro Fujikawa2, Yoshitaka Baba3, Reo Murakami3, Masahide Yamazaki 3, Kunihiko Hidaka3(1. 九州大学応用力学研究所, 2. ジャパン・リニューアブル・エナジー株式会社, 3. 東京ガス株式会社)