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
：スパコン版 RIAM-COMPACT の開発と風車ウエイクシミュレーションへの適用－ドイツ Alpha Ventus 洋上風力発電所の実測データの再現性について－

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受賞者は、大規模洋上ウィンドファームの実現に資する風車ウエイク研究の重要性にいち早く着眼し、2014年1月から(株)東芝(現、東芝エネルギーシステムズ(株))と共同研究に着手した。さらに、2015年1月からは日立造船(株)と共同研究を開始した。個別の共同研究を通して、風車ウエイク研究へのより一層の取り組みが重要であるとの議論がなされてきた。日本版大規模洋上ウィンドファームの実現には、大学と複数の企業が産学連携スキームで一丸となり、スピード感をもって風車ウエイク研究を遂行することが重要との判断から、受賞者の声掛けの下、九州大学応用力学研究所、東芝エネルギーシステムズ(株)、日立造船(株)の3者の共同研究がスタートすることになった(2018年4月～現在)。本共同研究の成果として、受賞者の発案の下、風力事業者が使い易い新しい「CFDポーラスディスク・ウエイクモデル」の開発に成功した。

テーマ：洋上風力発電所の採算性および耐久性の評価に資する日本型風車ウェイクモデルの開発
受賞者：九州大学 応用力学研究所 准教授 内田 孝紀
東芝エネルギーシステムズ
エネルギーシステム技術開発センター シニアマネジャー 谷山 賀浩
日立造船 機械・インフラ事業本部
風力発電事業統括部 技術・開発部 機械・電気グループ長 吉田 忠相

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洋上風力発電の採算性と耐久性の最適設計に資する日本型CAEソフトウエアの開発

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論文名：実サイトにおける風車後流の影響評価 その５：海風と陸風によるウェイク性状の評価
著者：深谷 侑輝, 内田 孝紀, 白 志仁、谷山 賀浩, 吉田 忠相

題目「スパコン版RIAM-COMPACTの開発と風車ウエイクシミュレーションへの適用－風洞模型スケールから実機スケールまで－
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

論文名：Validation Study of Multi-Rotor Systems Using Two Shrouded Wind Turbines
著者：Amr M. Halawa, Takanori Uchida, Koichi Watanabe, Yuji Ohya

論文名：地形性乱流が風車構造強度に与える影響に関する研究
(非定常乱流モデルLESによる地形性乱流診断)
著者名：川島 泰史*1, 内田 孝紀*2, 清木荘一郎*3, 近藤 勝俊*3

「数値風況予測システム『RIAM-COMPACT®（リアムコンパクト）』の開発」に対して、ISIT創立20周年記念 九州先端科学技術研究開発表彰 情報通信分野（IT）賞を受賞した。内田准教授は数値風況予測技術リアムコンパクトを開発した。本技術は風力発電業界において広く普及し、風車の故障、重大事故発生の未然防止に多大な貢献をした。

「風レンズ技術による高効率風車の開発」に対して、第11回産学官連携功労者表彰「環境大臣賞」を受賞した。その中で、内田准教授は数値風況予測技術リアムコンパクトを開発し、レンズ風車の設置支援、および国内外の大型ウィンドファームの風況診断の実現に寄与した。

RKB毎日放送(株)が製作，放送した番組「甦る元寇の船～神風の正体に迫る～」が第54回科学技術映像祭にて「文部科学大臣賞」を受賞した．
この番組に出演するとともに，RIAM-COMPACT®による数値風況シミュレーションの結果から神風に対する考察を行った．

論文題目「複雑地形上の風車ウエイクのLES」

論文題目「気象モデルと流体工学モデルを用いた風車設置地点における設計風速評価手法の提案」

論文題目「連続的な風向変化を考慮した数値風況予測モデルの開発―風車の耐風設計用風速評価への適用―」

「風車に対するウィンドリスクの視覚的特定と力学的機構の研究」

論文題目「気象モデルと流体工学モデルRIAM-COMPACT®を用いた風車設置地点における設計風速評価手法の提案」

論文題目「風車立地点近傍に発生する地形乱流の高解像度LES」

論文題目「Google Earthを活用した風力発電適地探査法の試み」

論文題目「局所風況シミュレータRIAM-COMPACTの開発」

論文題目「最適周速比で運転する風車後流と静止円盤後流の比較」

「風力発電適地選定支援のための風況解析ソフトウエアの開発とその実用化の達成」 という内容で，平成17年度船井情報科学振興財団，船井情報科学奨励賞(12件／年，コンピューターサイエンス部門)に応募し，選ばれた．

論文題目「種々の安定成層場における三宅島火山ガス挙動の数値シミュレーション」

論文題目「流体シミュレーション技術と地理情報システムを連携した新しい風力発電適地選定手法の開発」

ポスタータイトル「Micro-siting Technique for Wind Turbine Generator by Using One PC」

作品タイトル「風力タービン適地探査のための
風況シミュレータRIAM-COMPACTによる風に対する地形効果の再現」

論文題目「PCクラスタを用いた風況予測シミュレータRIAM-COMPACTの実用化へ向けた検討」

作品タイトル「三宅島の噴煙挙動の可視化」

論文題目「有限流路内の2次元丘陵地形を過ぎる安定成層流の非定常性」

作品タイトル「安定成層流中の地形効果」

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DOI： 10.3390/en11071694

Other Link： https://doi.org/10.3390/en11071694

Repository Public URL： http://hdl.handle.net/2324/1936748

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DOI： 10.3390/en11061530

Other Link： https://doi.org/10.3390/en11061530

Repository Public URL： http://hdl.handle.net/2324/1936747

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DOI： 10.4236/epe.2018.104011

Other Link： http://file.scirp.org/Html/2-6202140_84299.htm

Repository Public URL： http://hdl.handle.net/2324/1936760

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DOI： 10.4236/ojfd.2018.81003

Other Link： https://doi.org/10.4236/ojfd.2018.81003

Repository Public URL： http://hdl.handle.net/2324/1936761

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Repository Public URL： http://hdl.handle.net/2324/1660339

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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-COMPACT®). The RIAM-COMPACT® CFD model is based on Large-Eddy Simulation (LES) technique. In this paper, the numerical wind simulation over the Taikoyama wind farm was executed using the high resolution elevation data. As a result, the numerical results obtained suggest that all the six WTGs in the Taikoyama wind farm are subject to significant influence from separated flow (terrain-induced turbulence) which is due to the topographical irregularity in front of WTGs. The new reproduction proposal was also done.

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The present study compared the prediction accuracy of two CFD software packages for simulating a flow around a three-dimensional, isolated hill with a steep slope: 1) Meteodyn WT (turbulence model: k-L RANS), which is one of the leading commercially available CFD software packages in the wind power industry and 2) RIAM-COMPACT® (turbulence model: the standard Smagorinsky LES), which has been developed by the lead author of the present paper. Although the Reynolds number settings differed between the simulation with Meteodyn WT and that with RIAM-COMPACT®, distinct differences in the flow patterns were identified in the vicinity of the isolated hill (especially downstream of the isolated hill) between the flows simulated by the two CFD software packages.

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In this report, we explain the outline of the weather GPV data such as MSM. Next, the flow characteristics of winter in Fukuoka-shi are reported through comparison between the actual measurement data (observed value) and the weather GPV data.

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In this report, we explain the outline of the weather GPV data such as MSM. Next, the onshore and offshore wind characteristics in Fukuoka-shi are reported through comparison between the actual measurement data (observed value) and the weather GPV data.

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Repository Public URL： http://hdl.handle.net/2324/27124

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Repository Public URL： http://hdl.handle.net/2324/27125

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本研究では，最新の研究成果を取り入れ，より現実に近い強風性状を取り込み，かつ，安全性を確保したものとして風車設置地点における耐風設計用の基準風速を求める一手法を提案したものである．

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DOI： 10.1007/s10546-008-9343-5

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DOI： 10.1016/S0167-6105(99)00024-0

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DOI： 10.1016/S0167-6105(97)00096-2

Language：Japanese   Publisher：一般社団法人 電気学会  

DOI： 10.1541/ieejpes.144.nl8_2

CiNii Research

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DOI： https://doi.org/10.1016/j.energy.2023.128091

Repository Public URL： https://hdl.handle.net/2324/7148447

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DOI： https://doi.org/10.3390/en16186719

Language：Japanese   Publisher：The Japan Institute of Energy  

<p>In offshore wind firm, wind turbines are densely placed in a narrow area, and a wind speed attenuation and strong turbulence generated behind the turbines, known as wakes, cause decrease power with other wind turbines. In this study, to clarify the wind speed attenuation as a function of the distance from the wind turbine, we measured the wakes of the 3.3 MW wind turbine in commercial operation and the small model wind turbine installed in a wind tunnel. Furthermore, we applied this wake data to machine learning to develop new wake prediction models, which showed wind speed profiles within a relative error of 5%.</p>

DOI： 10.20550/jietaikaiyoushi.32.0_68

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抄録
In offshore wind firm, wind turbines are densely placed in a narrow area, and a wind speed attenuation and strong turbulence generated behind the turbines, known as wakes, cause decrease power with other wind turbines. In this study, to clarify the wind speed attenuation as a function of the distance from the wind turbine, we measured the wakes of the 3.3 MW wind turbine in commercial operation and the small model wind turbine installed in a wind tunnel. Furthermore, we applied this wake data to machine learning to develop new wake prediction models, which showed wind speed profiles within a relative error of 5%.

DOI： https://doi.org/10.20550/jietaikaiyoushi.32.0_68

Language：Japanese   Publishing type：Research paper (other academic)  

DOI： https://doi.org/10.14887/jaweam.2023.0_151

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Repository Public URL： https://hdl.handle.net/2324/6789522

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DOI： https://doi.org/10.1177/0309524X221150219

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DOI： https://doi.org/10.1177/0309524X221132003

Repository Public URL： https://hdl.handle.net/2324/6789527

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To verify the effectiveness of the GPU simulation of wake effects at a large-scale offshore wind farm, we ran an in-house large-eddy simulation (LES) solver with a CFD porous disk wake model for the Horns Rev 1 wind farm. For this numerical research, we prepared the latest workstation equipped with a Xeon W-2265 CPU and an NVIDIA RTX A6000 GPU. We clarified that the calculation speed of the single GPU of the NVIDIA RTX A6000 is approximately 10 times faster than the calculation speed of the Xeon W-2265. Careful data analysis and visualization of the unsteady turbulent flow fields obtained in the current LES study suggest that the mutual interference of the wakes developed by wind turbines may frequently form a local speed-up region around wind turbines, located on the downstream side of large offshore wind farms.

DOI： 10.1177/0309524X221132003

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To verify the effectiveness of the GPU simulation of wake effects at a large-scale offshore wind farm, we ran an in-house large-eddy simulation (LES) solver with a CFD porous disk wake model for the Horns Rev 1 wind farm. For this numerical research, we prepared the latest workstation equipped with a Xeon W-2265 CPU and an NVIDIA RTX A6000 GPU. We clarified that the calculation speed of the single GPU of the NVIDIA RTX A6000 is approximately 10 times faster than the calculation speed of the XeonW-2265. Careful data analysis and visualization of the unsteady turbulent flow fields obtained in the current LES study suggest that the mutual interference of the wakes developed by wind turbines may frequently form a local speed-up region around wind turbines, located on the downstream side of large offshore wind farms.

CiNii Research

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To improve the forecast accuracy of the annual energy production from wind power, the characteristics of the atmospheric stability distribution are summarized using data from wind observation towers at ten sites in Japan. The bulk Richardson numbers indicate that stable conditions prevailed at seven out of ten locations. An analysis of each met mast indicated that the prevailing stability varied by season and differed not only according to the area but also according to the wind farm scale. These differences are thought to result from the distance to the sea and the wind shear. In addition, we compared the results according to the observational data and the bulk Richardson number calculated using the Weather Research and Forecasting model（WRF） during each season. The prevailing atmospheric stability at the observation points is affected by the atmospheric stability of the land and the surrounding ocean. The results of previous research and this study indicate that considering the atmospheric stability enables more correct estimations of the annual wind power energy production. If possible, seasonal and local differences in the atmospheric stability should be considered to better estimate the wind power generation.

DOI： https://doi.org/10.11333/jwearonbun.46.4_38

Repository Public URL： https://hdl.handle.net/2324/6789520

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DOI： https://doi.org/10.1115/1.4056341

Repository Public URL： https://hdl.handle.net/2324/6789532

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To improve the forecast accuracy of the annual energy production from wind power, the characteristics of the atmospheric stability distribution are summarized using data from wind observation towers at ten sites in Japan. The bulk Richardson numbers indicate that stable conditions prevailed at seven out of ten locations. / An analysis of each met mast indicated that the prevailing stability varied by season and differed not only according to the area but also according to the wind farm scale. These differences are thought to result from the distance to the sea and the wind shear. In addition, we compared the results according to the observational data and the bulk Richardson number calculated using the Weather Research and Forecasting model（WRF） during each season. The prevailing atmospheric stability at the observation points is affected by the atmospheric stability of the land and the surrounding ocean. / The results of previous research and this study indicate that considering the atmospheric stability enables more correct estimations of the annual wind power energy production. If possible, seasonal and local differences in the atmospheric stability should be considered to better estimate the wind power generation.

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Language：Japanese   Publisher：Japan Association for Wind Engineering  

DOI： 10.14887/jaweam.2023.0_151

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Language：Japanese   Publisher：THE JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES  

DOI： 10.11520/jshwr.36.0_246

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DOI： https://doi.org/10.1016/j.jweia.2022.105238

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DOI： 10.1177/0309524X221113011

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This study investigates the effect of a deflector on Ahmed model drag and the flow on the slant during steady crosswind conditions by experimental methods at a based-height Reynolds number of 2.45 × 105. The length deflector is 0.09 times the length of the slant. The deflector was fixed at the leading edge of the slant with an upward angle of 5° to the horizontal axis. Force, pressure, and global skin-friction measurements were conducted to understand the relation between drag, pressure distribution, and flow fields on the slant surface. The results showed that the deflector reduces aerodynamic drag at low yaw angles. This result is due to the breakdown structure of longitudinal vortexes and the separation bubble, which leads to fully separated flow on the leading edge of the slant. However, at yaw angles above 8°, a large reversed flow region forms on the slant and the drag of the model increases. A similar flow structure on the slant is observed for yaw angles of 12° and 15°. Conversely, the model lift is reduced with the deflector at all yaw angles tested. Detailed pressure distribution and complex flow structure on the slant provide insight in this study.

DOI： 10.1016/j.jweia.2022.105238

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DOI： 10.1038/s41598-022-19579-6

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Language：Japanese   Publisher：The Institute of Electrical Engineers of Japan  

DOI： 10.1541/ieejjournal.142.519

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DOI： https://doi.org/10.1541/ieejjournal.142.519

For this study, the annual frequency of atmospheric stability and the effects of topography were investigated, using ERA5 data and data from wind observation masts installed at four locations on an island for a site under development, where bidding will soon begin. As a result, we found that a variety of atmospheric stabilities appeared at the site, and that the annual average events were not neutral but, instead, unstable. Moreover, the deviation from neutral varied depending on wind direction and the wind speed varied greatly, depending on the mast position and wind direction. Additionally, it was necessary to reproduce the wind flow separation due to topography, in order to predict the wind conditions of wind turbines located close to the island. The accuracy of the airflow simulation by large eddy simulation was validated using the mast-to-mast wind speed ratio. For simulations, we used the commercial software RIAM-COMPACT, which has been widely used in Japan, as it allows the atmospheric stability to be freely set. As a result, we found that the accuracy could be improved by refining the inflow wind direction and taking the average of the results calculated under several atmospheric stability conditions.

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DOI： 10.3390/en15145050

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Repository Public URL： http://hdl.handle.net/2324/5208223

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本研究では，特別な観測機器をドローンに搭載することなく，ドローン自身を風速センサとして活用する手法を試みる．最初に，大型風洞設備を用い，ドローンを風速センサとして活用するための校正試験を行った．次に，風洞スケールおよび実機スケールでの風車ウェイクの気流計測を試みた．

DOI： https://doi.org/10.14887/jaweam.2022.0_87

Repository Public URL： https://hdl.handle.net/2324/6789523

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DOI： 10.1177/0309524X211036041

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DOI： 10.1063/9.0000346

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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.

DOI： https://doi.org/10.11333/jwearonbun.45.4_71

Repository Public URL： https://hdl.handle.net/2324/5208225

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DOI： 10.11333/jwearonbun.45.4_71

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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.

CiNii Research

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier {BV}  

The wake characteristics of a utility-scale wind turbine under realistic atmospheric boundary layer conditions are affected by the continuously changing wind direction arriving at the wind turbine. In the present study, the effects of continuous changes in the incoming wind direction were studied for a wind turbine on flat terrain, with the objective of understanding the wake characteristics of the wind turbine. Thus, understanding the effects of continuously changing incoming wind direction on the wake characteristics of wind turbines over flat terrain is important in the design of wind farm layouts, including in the design of offshore wind power plants. For this purpose, a computational fluid dynamics (CFD) approach using large-eddy simulations (LES) was adopted in the present study. An in-house LES-solver based on the actuator line (AL) aerodynamics technique was constructed in order to successfully capture the wake structure behind the wind turbine. First, experimental investigations on both a blade-only wind turbine scale model and a full 3D wind turbine scale model (isolated wind turbine) were conducted for a fixed inlet wind condition, the latter including the nacelle and the tower. Through a detailed comparison of the wind tunnel experimental and numerical results, the prediction accuracy of the in-house LES-solver was verified and validated for fixed inlet wind conditions. On the basis of the validation results obtained, and using the full 3D wind turbine scale model, the effects of the continuously changing inlet wind conditions on the wake characteristics in the near- and far-wake regions were numerically investigated. In addition, the effects of the wind turbine nacelle and tower on the wake characteristics were also investigated. The numerical results show that the most significant impact of the effects of the continuously changing wind direction was the rapid recovery of the mean velocity deficits in the wind turbine wake region. Further, at the x = 10D position (D is the rotor diameter) downstream of the wind turbine, the non-dimensional streamwise mean velocity was 0.93, which nearly matches the approaching flow speed, under an optimal tip speed ratio of 4.0, compared to the fixed wind direction scenario.

DOI： 10.1016/j.jweia.2021.104869

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Repository Public URL： http://hdl.handle.net/2324/4794760

Language：English  

The wake characteristics of a utility-scale wind turbine under realistic atmospheric boundary layer conditions are affected by the continuously changing wind direction arriving at the wind turbine. In the present study, the effects of continuous changes in the incoming wind direction were studied for a wind turbine on flat terrain, with the objective of understanding the wake characteristics of the wind turbine. Thus, understanding the effects of continuously changing incoming wind direction on the wake characteristics of wind turbines over flat terrain is important in the design of wind farm layouts, including in the design of offshore wind power plants. For this purpose, a computational fluid dynamics (CFD) approach using large-eddy simulations (LES) was adopted in the present study. An in-house LES-solver based on the actuator line (AL) aerodynamics technique was constructed in order to successfully capture the wake structure behind the wind turbine. First, experimental investigations on both a blade-only wind turbine scale model and a full 3D wind turbine scale model (isolated wind turbine) were conducted for a fixed inlet wind condition, the latter including the nacelle and the tower. Through a detailed comparison of the wind tunnel experimental and numerical results, the prediction accuracy of the in-house LESsolver was verified and validated for fixed inlet wind conditions. On the basis of the validation results obtained, and using the full 3D wind turbine scale model, the effects of the continuously changing inlet wind conditions on the wake characteristics in the near- and far-wake regions were numerically investigated. In addition, the effects of the wind turbine nacelle and tower on the wake characteristics were also investigated. The numerical results show that the most significant impact of the effects of the continuously changing wind direction was the rapid recovery of the mean velocity deficits in the wind turbine wake region. Further, at the x = 10D position (D is the rotor diameter) downstream of the wind turbine, the non-dimensional streamwise mean velocity was 0.93, which nearly matches the approaching flow speed, under an optimal tip speed ratio of 4.0, compared to the fixed wind direction scenario.

CiNii Research

Language：Japanese   Publisher：Japan Wind Energy Association  

To improve the forecast accuracy of the annual energy production from wind power, the characteristics of the atmospheric stability distribution are summarized using data from wind observation towers at ten sites in Japan. The bulk Richardson numbers indicate that stable conditions prevailed at seven out of ten locations. An analysis of each met mast indicated that the prevailing stability varied by season and differed not only according to the area but also according to the wind farm scale. These differences are thought to result from the distance to the sea and the wind shear. In addition, we compared the results according to the observational data and the bulk Richardson number calculated using the Weather Research and Forecasting model（WRF） during each season. The prevailing atmospheric stability at the observation points is affected by the atmospheric stability of the land and the surrounding ocean. The results of previous research and this study indicate that considering the atmospheric stability enables more correct estimations of the annual wind power energy production. If possible, seasonal and local differences in the atmospheric stability should be considered to better estimate the wind power generation.

DOI： 10.11333/jwearonbun.46.4_38

CiNii Research

researchmap

Language：Japanese   Publisher：Japan Association for Wind Engineering  

<p>In this research, we try a method to utilize the drone itself as a wind speed sensor without mounting a special observation device on the drone. First, a calibration test was conducted to utilize the drone as a wind speed sensor using a large wind tunnel facility. Next, we attempted to measure the wind turbine wake flow.</p>

DOI： 10.14887/jaweam.2022.0_87

CiNii Research

researchmap

Publisher：World Congress in Computational Mechanics and ECCOMAS Congress  

During operation of a wind turbine, wake flow occurs behind the wind turbine, reducing the amount of power generation and the life of the downwind wind turbine. To understand wind turbine wake flow, Computational Fluid Dynamics (CFD) simulations were conducted using "RIAM-COMPACT" to reproduce wind turbine wake flow. There is no significant difference in the flow field of the wind turbine wake between upwind-type and downwind-type turbines. In the 5D downstream of the wind turbine, the vertical distribution of the mainstream velocity component is almost the same regardless of the power of the inflow profile in the swept area. When the inflow wind has a wind direction change of up to 10 degrees, the wind turbine wake is quite diffuse, and its vertical distribution is in good agreement with the field measurements made by the vertical profile lidar.

DOI： 10.23967/wccm-apcom.2022.028

Scopus

Publisher：WCCM-APCOM 2022 - 15th World Congress on Computational Mechanics and 8th Asian Pacific Congress on Computational Mechanics: Pursuing the Infinite Potential of Computational Mechanics  

During operation of a wind turbine, wake flow occurs behind the wind turbine, reducing the amount of power generation and the life of the downwind wind turbine. To understand wind turbine wake flow, Computational Fluid Dynamics (CFD) simulations were conducted using "RIAM-COMPACT" to reproduce wind turbine wake flow. There is no significant difference in the flow field of the wind turbine wake between upwind-type and downwind-type turbines. In the 5D downstream of the wind turbine, the vertical distribution of the mainstream velocity component is almost the same regardless of the power of the inflow profile in the swept area. When the inflow wind has a wind direction change of up to 10 degrees, the wind turbine wake is quite diffuse, and its vertical distribution is in good agreement with the field measurements made by the vertical profile lidar.

Scopus

Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： https://doi.org/10.11333/jwearonbun.45.1_1

Repository Public URL： http://hdl.handle.net/2324/4794753

Language：English   Publishing type：Research paper (scientific journal)  

DOI： https://doi.org/10.1299/jsmeicope.2021.15.2021-0175

Language：English   Publishing type：Research paper (scientific journal)  

DOI： https://doi.org/10.1299/jsmeicope.2021.15.2021-0175

Language：Japanese   Publishing type：Research paper (other academic)  

DOI： https://doi.org/10.1299/jsmemecj.2021.S055-05

Language：Japanese   Publishing type：Research paper (other academic)  

DOI： https://doi.org/10.1299/jsmemecj.2021.S055-05

Language：Japanese   Publishing type：Research paper (other academic)  

DOI： https://doi.org/10.1299/jsmemecj.2021.S051-01

Language：Japanese   Publishing type：Research paper (other academic)  

DOI： https://doi.org/10.14887/jaweam.2021.0_101

Repository Public URL： http://hdl.handle.net/2324/5208229

Language：English  

DOI： 10.1155/2021/8822548

Repository Public URL： http://hdl.handle.net/2324/4794819

Language：Japanese  

Repository Public URL： http://hdl.handle.net/2324/4794753

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.3390/en14082101

Repository Public URL： http://hdl.handle.net/2324/4794750

Language：Japanese  

Repository Public URL： http://hdl.handle.net/2324/4479058

Language：Japanese  

本研究では，鹿児島県いちき串木野市羽島地区に位置する串木野れいめい風力発電所(平成24年11月より運転開始)の風車10号機を対象とし，風況データおよび風車ブレード歪データの実計測を行い，地形性乱流が風車ブレードに与える影響について詳細に考察した．

Repository Public URL： http://hdl.handle.net/2324/4479059

Language：Japanese  

Repository Public URL： http://hdl.handle.net/2324/4479060

Language：English  

DOI： 10.1088/1742-6596/1618/3/032017

Repository Public URL： http://hdl.handle.net/2324/4476144

Language：English  

DOI： 10.3390/en13143745

Repository Public URL： http://hdl.handle.net/2324/4110734

Language：English  

DOI： 10.3390/en13153896

Repository Public URL： http://hdl.handle.net/2324/4110733

Language：English  

DOI： 10.3390/en13123197

Repository Public URL： http://hdl.handle.net/2324/4110735

Language：English  

Language：English  

DOI： 10.1155/2020/4065359

Repository Public URL： http://hdl.handle.net/2324/3000484

Language：English  

DOI： 10.1155/2019/7378315

Repository Public URL： http://hdl.handle.net/2324/2547328

Language：English  

DOI： 10.4236/ojfd.2019.94018

Repository Public URL： http://hdl.handle.net/2324/2547329

Language：English  

DOI： 10.3390/en12193766

Repository Public URL： http://hdl.handle.net/2324/2547330

Language：Japanese  

本研究では，鹿児島県いちき串木野市羽島地区に位置する串木野れいめい風力発電所(平成24年11月より運転開始)の風車10号機を対象とし，風況データおよび風車ブレード歪データの実計測を行い，地形性乱流が風車ブレードに与える影響について詳細に考察した．

Repository Public URL： http://hdl.handle.net/2324/2344622

Language：English  

DOI： 10.3390/en12163171

Repository Public URL： http://hdl.handle.net/2324/2547326

Language：English  

DOI： 10.4236/ojfd.2019.93015

Repository Public URL： http://hdl.handle.net/2324/2547331

Language：English  

DOI： 10.3390/en12132624

Language：English  

DOI： 10.3390/en12101925

Repository Public URL： http://hdl.handle.net/2324/2244494

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1155/2019/5231839

Repository Public URL： http://hdl.handle.net/2324/2244500

Language：English  

DOI： 10.4236/ojfd.2018.84027

Repository Public URL： http://hdl.handle.net/2324/2244502

Language：Japanese  

We have been requiring more precise knowledge about the aerodynamic characteristics of the airfoil especially in low Reynolds-number ranges less than 106, because of the recent miniaturisation of robots such as unmanned aerial vehicles known as UAVs or drones and micro air vehicles known as MAVs, in addition to the importance of insect/bird flight dynamics, small-scale machines like micro fluid machineries and micro combustion engines and so on. In the present study, we investigate the relationship between various aerodynamic characteristics and attack angle α for flat plate NACA0015 and iNACA0015 (the NACA0015 placed back to front) by numerical analysis and water-tank experiment at Re = 1.0×102 － 8.0×102. Then, we investigate the effects of attack angle α upon various aerodynamic characteristics such as the lift coefficient CL, drag coefficient CD and the lift-to-drag ratio CL/CD . In order to discuss the revealed α effects, we visualise the flow around the airfoils using the Q value, the helicity, streamlines’ distribution around an airfoils at α = 0 – 24 deg., together with PIV analysis based on water-tank experiment.

DOI： 10.1299/jsmemecj.2018.S0510205

Language：English  

DOI： 10.4236/epe.2017.913053

Other Link： https://doi.org/10.4236/epe.2017.913053

Repository Public URL： http://hdl.handle.net/2324/1936752

Language：English  

DOI： 10.4236/epe.2017.912050

Repository Public URL： http://hdl.handle.net/2324/1936757

Language：English  

DOI： 10.4236/epe.2017.913052

Repository Public URL： http://hdl.handle.net/2324/1936756

Language：English  

DOI： 10.4236/ojfd.2017.74035

Repository Public URL： http://hdl.handle.net/2324/1936755

Language：English  

DOI： 10.4236/ojfd.2017.74039

Repository Public URL： http://hdl.handle.net/2324/1936754

Language：Japanese  

Language：Japanese  

Language：Japanese  

本研究は，山岳地形に建設された風車を研究対象に取り上げ，風車運転データとブレード歪みデータの同時計測を行い，風車ブレードに与える地形性乱流の相関性を定量的に明らかにするとともに高解像度数値風況シミュレーションによってこれらの地形性乱流が形成されるメカニズムを明らかにした．さらに，風車ブレードの疲労蓄積割合を評価する手法を明らかにし，多くの重要な新しい知見を得た．

Language：Japanese  

Language：English  

DOI： 10.4236/jfcmv.2017.52002

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.3390/en9121077

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.3390/en9121077

Language：Japanese  

Language：Japanese  

Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： https://doi.org/10.1117/12.2231385

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1115/1.4029377

Language：English  

DOI： 10.1007/s10342-014-0859-6

Language：Japanese  

Recently to become, in wind farm, which was built on the complex terrain, the operation rate is less than the initial expectations, ie, power generation output and significantly bad windmill, failure of windmill inside and outside (for example, failure of the yaw motor and Yogia, windmill blades cracks, etc.) of the problem of is actualized. The main cause is a change in the windmill most recent slight terrain relief becomes origin, I considered to be a disorder of the wind (terrain turbulence) generated from there. In response to this situation, in our group, precise numerical wind diagnosis by real terrain version RIAM-COMPACT® software (the window risk assessment) was performed, has conducted studies safe windmill operating method 1) . In this paper, under the cooperation of Kyudenko new energy Co., Ltd., Numerical wind conditions diagnosis for the purpose of examination of windmill 10 Unit method of operation of the kushikinoreimei wind farm (start the operation from November 2012) since the was carried out, we report on the results.

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1115/1.4029377

Language：English  

DOI： 10.1260/0309-524X.39.4.349

Language：Japanese  

Language：English  

Language：English  

DOI： 10.1093/forestry/cpt011

Language：English  

DOI： 10.1093/forestry/cpt011

Language：Japanese  

乱流モデルLESとアクチュエータラインモデルを用いて，複雑地形上の風車ウエイクの再現を試みた．その結果，風車背後にはTip Vortexの存在が確認されるものの，地形からの剥離流の影響により，その構造は急速に崩れていることが示された．

DOI： 10.14887/jaweam.2013.0.135.0

Language：Japanese  

Language：English  

DOI： 10.1260/0309-524X.36.4.455

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.3390/en5125229

Language：English  

DOI： 10.1155/2011/941870

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1155/2011/749421

Language：English   Publishing type：Research paper (scientific journal)  

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 CFD model for unsteady flow called Research Institute for Applied Mechanics, Kyushu University, COMputational Prediction of Airflow over Complex Terrain (RIAM-COMPACT®). The RIAM-COMPACT® CFD model is based on Large-Eddy Simulation (LES) technique. The computational domain of RIAM-COMPACT® can extend from several meters to several kilometers, and RIAM-COMPACT® can predict airflow and gas diffusion over complex terrains with high accuracy. First, the present paper proposes a technique for evaluating the deployment location of WTGs. Next, wind simulation of an actual wind farm was executed using the high resolution elevation data. As a result, an appropriate point and an inappropriate point for locating WTGs were shown based on the numerical results obtained. This cause was found to be a topographical irregularity in front of WTGs.

DOI： 10.3390/en4030458

Language：Japanese  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.jweia.2008.02.037

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.jweia.2008.02.037

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.jweia.2008.02.047

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s10546-007-9245-y

Language：Japanese  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1299/jsmeb.49.567

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： 10.5359/jwe.31.95

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.5359/jwe.31.95

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.5359/jwe.31.63

Language：Japanese  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese  

Language：English  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Repository Public URL： http://hdl.handle.net/2324/26803

Language：Japanese  

Language：English  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Repository Public URL： http://hdl.handle.net/2324/26805

Language：Japanese  

Repository Public URL： http://hdl.handle.net/2324/26804

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Repository Public URL： http://hdl.handle.net/2324/3557

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1023/B:BOUN.0000027913.22130.73

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1023/B:BOUN.0000027913.22130.73

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.5359/jwe.29.35

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1023/A:1023069316164

Language：Japanese  

Language：English  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English  

Language：Japanese  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/S0167-6105(02)00347-1

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/S0167-6105(02)00347-1

Language：Japanese   Publishing type：Research paper (other academic)  

Language：English  

DOI： 10.1016/S1352-2310(02)00642-8

Language：Japanese  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/S0169-5983(01)00025-9

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Language：Japanese  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Event date： 2015.5

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：徳島大学工学部キャンパス   Country：Japan  

Event date： 2014.12

Language：Japanese   Presentation type：Oral presentation (invited, special)  

Venue：宇宙航空研究開発機構(JAXA)宇宙科学研究所   Country：Japan  

Event date： 2014.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館（東京・千代田区）   Country：Japan  

Event date： 2014.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館（東京・千代田区）   Country：Japan  

Event date： 2014.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：NEC本社   Country：Japan  

Event date： 2013.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館（東京・千代田区）   Country：Japan  

Event date： 2013.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館（東京・千代田区）   Country：Japan  

Event date： 2013.5

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：東北大学 青葉山キャンパス   Country：Japan  

Event date： 2013.2

Language：Others   Presentation type：Oral presentation (general)  

Country：Austria  

Event date： 2012.12

Language：Others   Presentation type：Oral presentation (general)  

Venue：東京大学山上会館   Country：Japan  

Event date： 2012.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館（東京・千代田区）   Country：Japan  

Event date： 2012.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館（東京・千代田区）   Country：Japan  

Event date： 2012.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館（東京・千代田区）   Country：Japan  

Event date： 2012.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：北九州国際会議場   Country：Japan  

Event date： 2012.11

Language：Others   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2012.11

Language：Others   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2012.6

Language：Others   Presentation type：Oral presentation (general)  

Venue：福岡国際センター   Country：Japan  

Event date： 2012.5 - 2012.6

Language：Others   Presentation type：Oral presentation (general)  

Venue：東京ミッドタウン   Country：Japan  

Event date： 2011.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2011.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2011.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2011.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：首都大学東京 南大沢キャンパス 1号館   Country：Japan  

Event date： 2011.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：首都大学東京 南大沢キャンパス 1号館   Country：Japan  

複雑地形上に設置された風車ウエイクの渦構造を数値シミュレーションにより明らかにしたものである．

Event date： 2011.5

Language：Others   Presentation type：Oral presentation (general)  

Venue：大阪市立大学 杉本キャンパス 学術情報総合センター   Country：Japan  

Event date： 2010.12

Language：Others   Presentation type：Oral presentation (general)  

Venue：慶應義塾大学 日吉キャンパス   Country：Japan  

Event date： 2010.12

Language：Others   Presentation type：Oral presentation (general)  

Venue：東京大学 山上会館   Country：Japan  

Event date： 2010.12

Language：Others   Presentation type：Oral presentation (general)  

Venue：東京大学 山上会館   Country：Japan  

Event date： 2010.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2010.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

先端的数値風況予測モデル「RIAM-COMPACT®(リアムコンパクト)」を用いて，連続的な風向変化を考慮しながら複雑地形上の局地的な風の流れを再現したものである．

Event date： 2010.9

Language：Others   Presentation type：Oral presentation (general)  

Country：China  

Event date： 2010.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：同済大学   Country：China  

Event date： 2010.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：北海道大学 札幌キャンパス 高等教育機能開発総合センター   Country：Japan  

Event date： 2010.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：北海道大学 札幌キャンパス 高等教育機能開発総合センター   Country：Japan  

Event date： 2010.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：名古屋工業大学（名古屋市）   Country：Japan  

Event date： 2010.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：名古屋工業大学（名古屋市）   Country：Japan  

Event date： 2010.6 - 2010.7

Language：Others   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2010.4

Language：Others   Presentation type：Oral presentation (general)  

Venue：筑波大学   Country：Japan  

Event date： 2010.3

Language：Others   Presentation type：Oral presentation (general)  

Venue：京都大学防災研究所 きはだホール(京都府)   Country：Japan  

Event date： 2010.1

Language：Others   Presentation type：Oral presentation (general)  

Venue：アクロス福岡(福岡)   Country：Japan  

Event date： 2010.1

Language：Others   Presentation type：Oral presentation (general)  

Venue：九州大学応用力学研究所(福岡)   Country：Japan  

Event date： 2009.12 - 2008.12

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2009.12 - 2008.12

Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2009.11 - 2008.11

Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2009.11 - 2008.11

Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2009.11 - 2008.11

Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2009.11 - 2008.11

Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2009.11 - 2008.11

Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2009.11 - 2008.11

Presentation type：Oral presentation (general)  

Country：Taiwan, Province of China  

Event date： 2009.11 - 2008.11

Presentation type：Oral presentation (general)  

Venue：長崎ブリックホール   Country：Japan  

Event date： 2009.9 - 2008.9

Presentation type：Oral presentation (general)  

Venue：岩手大学   Country：Japan  

Event date： 2009.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：東洋大学 白山キャンパス   Country：Japan  

Event date： 2009.8 - 2008.8

Presentation type：Oral presentation (general)  

Venue：福岡工業大学α棟４F多目的教室   Country：Japan  

Event date： 2009.6

Language：Others   Presentation type：Oral presentation (general)  

Venue：東京ミッドタウン   Country：Japan  

Event date： 2009.3

Language：Others   Presentation type：Oral presentation (general)  

Venue：九大伊都キャンパス，付属循環型社会システム工学研究センター(CE40)，2F講義室   Country：Japan  

Event date： 2009.2

Language：Others   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2008.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2008.11

Language：Others   Presentation type：Oral presentation (general)  

Venue：とりぎん文化会館   Country：Japan  

Event date： 2008.10

Language：Others   Presentation type：Oral presentation (general)  

Country：China  

Event date： 2008.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：東北大学青葉山キャンパス人間・環境系実験研究棟   Country：Japan  

Event date： 2008.9

Language：Others   Presentation type：Oral presentation (general)  

Venue：神戸大学工学部   Country：Japan  

Event date： 2008.8

Language：Others   Presentation type：Oral presentation (general)  

Country：China  

Event date： 2008.8

Language：Others   Presentation type：Oral presentation (general)  

Venue：横浜国立大学   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：東京ビッグサイト   Country：Japan  

Language：Others  

Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：名古屋大学(愛知)   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：東京大学教養学部   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館サイエンスホール(東京)   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：科学技術館サイエンスホール(東京)   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：広島大学   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：東京国際フォーラム   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：九州大学筑紫キャンパス C-CUBE 3F303号室   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：京都大学 学術情報メディアセンター 南館2階 202マルチメディア講義室   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：三菱重工株式会社技術本部長崎研究所本館1F特別会議室   Country：Japan  

Language：Others   Presentation type：Oral presentation (general)  

Venue：九州大学箱崎キャンパス   Country：Japan  

Event date： 2024.2

Language：Japanese  

Venue：ハイブリッド方式   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：科学技術館   Country：Japan  

Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.11 - 2023.12

Language：Japanese  

Venue：科学技術館   Country：Japan  

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Event date： 2023.10

Language：Japanese  

Venue：富士ソフトアキバプラザ５F　アキバホール   Country：Japan  

Event date： 2023.10

Language：Japanese  

Venue：富士ソフトアキバプラザ５F アキバホール   Country：Japan  

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Event date： 2023.10

Language：Japanese  

Venue：北九州国際会議場（福岡県北九州市）   Country：Japan  

Event date： 2023.9

Language：English   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2023.9

Language：English   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2023.9

Language：English  

Venue：熊本大学（熊本県熊本市）   Country：Japan  

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Event date： 2023.9

Language：English  

Venue：熊本大学（熊本県熊本市）   Country：Japan  

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Event date： 2023.8

Language：Japanese  

Venue：福岡大学（福岡市城南区）   Country：Japan  

Event date： 2023.8

Language：Japanese  

Venue：福岡大学（福岡市城南区）   Country：Japan  

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Event date： 2023.7

Language：English   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2023.6

Language：Japanese  

Country：Japan  

Event date： 2023.6

Language：Japanese