2023 Fiscal Year Final Research Report

Study on wake measurement of wind turbine by particle image velocimetry (PIV) using snowfall

Research Project

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Project/Area Number	21H01413
Research Category	Grant-in-Aid for Scientific Research (B)
Allocation Type	Single-year Grants
Section	一般
Review Section	Basic Section 22020:Structure engineering and earthquake engineering-related
Research Institution	Hirosaki University
Principal Investigator	Honda Akihiro 弘前大学, 地域戦略研究所, 教授 (60620606)
Co-Investigator(Kenkyū-buntansha)	松田寿北海道科学大学, 工学部, 教授 (30595343) 千葉隆弘北海道科学大学, 工学部, 教授 (40423983) 久保田健弘前大学, 地域戦略研究所, 准教授 (70400405) 内田孝紀九州大学, 応用力学研究所, 教授 (90325481)
Project Period (FY)	2021-04-01 – 2024-03-31
Keywords	流体力学 / 可視化 / 降雪 / PIV / 風車 / 後流
Outline of Final Research Achievements	The wake that occurs downwind of a rotating wind turbine is formed by a complex flow field, which has traditionally been addressed by applying simple engineering models. However, to address the safety risks associated with the increasing size of modern wind turbines and to ensure the power generation performance of a wind farm consisting of many turbines, modeling that reflects actual phenomena is necessary. In this study, we visualized the wake flow caused by snowfall on three different sizes of actual wind turbines, and performed a quantitative evaluation. As a result, the behavior of the tip vortex could be clearly captured in the visualized wake area up to about twice the direct line of the rotor. Furthermore, it became possible to grasp the flow velocity distribution inside the wake by processing the visualized images with PIV.
Free Research Field	流体力学
Academic Significance and Societal Importance of the Research Achievements	冬季の降雪という地域性のある流体可視化のシードを用いる必要があるが、学術的には実験室レベルでの流体実験よりも大きなスケールでの野外での流体現象を把握するための手法が得られたものと考えられる。また本研究成果は、現地において実機で生じている現象をとらえることができ、設計時の設定と比較検討することでリスク評価につなげ、今後新設される計画への反映もさることながら、既存のウィンドファームの最適運転の制御ロジック構築にも反映できる。