著者
内田 孝紀 小野 謙二 飯田 明由 吉村 忍 加藤 千幸 山出 吉伸 今村 博 植田 祐子
出版者
一般社団法人 日本風力エネルギー学会
雑誌
風力エネルギー学会 論文集 (ISSN:24363952)
巻号頁・発行日
vol.45, no.4, pp.71-82, 2021 (Released:2022-03-30)

In the current project, the first author and the second author play a central role in conducting high-speed tuning and wind turbine wake analysis of the supercomputer version of RIAM-COMPACT. In this report, we applied the supercomputer version RIAM-COMPACT to the wind turbine wake simulation from the wind tunnel scale to the utility-scale wind turbine wakes. As a result, we clarified unsteady wake aerodynamics of wind turbines including multiple wake interactions with high precision and high reality.
著者
内田 孝紀
出版者
一般社団法人 日本風力エネルギー学会
雑誌
風力エネルギー (ISSN:03876217)
巻号頁・発行日
vol.39, no.4, pp.A_53-A_60, 2015 (Released:2016-09-30)

Because a significant portion of the topography in Japan is characterized by steep, complex terrain, which results in a complex spatial distribution of wind speed, great care is necessary for selecting a site for the construction of Wind Turbine Generators (WTGs). We have developed a Computational Fluid Dynamics (CFD) model for unsteady flow called Research Institute for Applied Mechanics, Kyushu University, COMputational Prediction of Airflow over Complex Terrain (RIAM-COMPACTR). The RIAM-COMPACTR CFD model is based on Large-Eddy Simulation (LES) technique. In this paper, the numerical wind simulation over the Shiratakiyama wind farm was executed using the high resolution elevation data. In order to reproduce terrain-induced turbulence numerically, it is shown that both of the horizontal grid resolution and the time increment are extremely important. As a result, the numerical results also showed that it is possible to reproduce energy cascade of actual terrain-induced turbulence well in the frequency-wavenumber domain.
著者
飯田 隆人 清水 敦彦
出版者
一般社団法人 日本風力エネルギー学会
雑誌
風力エネルギー学会 論文集 (ISSN:24363952)
巻号頁・発行日
vol.46, no.3, pp.19-27, 2022 (Released:2022-12-17)

Local community acceptance is of great importance to successfully realize offshore wind farm projects. This paper determines the influence factors to explain community acceptance. The factor analysis and the optimization of the multiple regression models provide eight optimum factors as follows: impression of the existing onshore wind farm and its projection to the offshore project, economic prosperity, reputation, global protection, local protection, interest in the project, tradition and culture, and evaluation of the nuclear power generation. In addition, local residents are clustered based on these factors, and their attitudes to offshore wind farm projects are discussed.
著者
大竹 悠介 近藤 勝俊 藤田 恵美 小垣 哲也 櫻井 健一
出版者
一般社団法人 日本風力エネルギー学会
雑誌
風力エネルギー学会 論文集 (ISSN:24363952)
巻号頁・発行日
vol.45, no.2, pp.23-30, 2021 (Released:2021-12-15)

A downwind turbine whose rotor surface is located on the leeward side with respect to the tower is expected to operate with high efficiency in up-flow wind. In addition, it is expected that a large amount of up-flow wind will be shown in mountainous areas that are common in Japan. Therefore, the wind conditions around the downwind turbine installed in the mountainous area were measured by Doppler LiDAR, and the wind turbine performance in the up-flow wind was evaluated. As a result, it was confirmed that the power of the wind turbine tends to improve as the flow inclination angle becomes larger and closer to the wind turbine tilt angle.