Research on Aerodynamic Load Simulation Techniques for Floating Vertical-Axis Wind Turbines in Basin Model Test
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| Publicado en: | Journal of Marine Science and Engineering vol. 13, no. 10 (2025), p. 1924-1944 |
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| Autor Principal: | |
| Outros autores: | , , , , , |
| Publicado: |
MDPI AG
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| Acceso en liña: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 035 | |a 3265915591 | ||
| 045 | 2 | |b d20251001 |b d20251031 | |
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| 100 | 1 | |a Cao Qun |u China Ship Scientific Research Center, Wuxi 214064, China; chenying@cssrc.com.cn (Y.C.); kaizhang@cssrc.com.cn (K.Z.); zhangxy@cssrc.com.cn (X.Z.); chenxing@cssrc.com.cn (X.C.) | |
| 245 | 1 | |a Research on Aerodynamic Load Simulation Techniques for Floating Vertical-Axis Wind Turbines in Basin Model Test | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Floating vertical−axis wind turbines present unique advantages for deep−water offshore deployments, but their basin model testing encounters significant challenges in aerodynamic load simulation due to Reynolds scaling effects. While Froude−scaled experiments accurately replicate hydrodynamic behaviors, the drastic reduction in Reynolds numbers at the model scale leads to substantial discrepancies in aerodynamic forces compared to full−scale conditions. This study proposed two methodologies to address these challenges. Fully physical model tests adopt a “physical wind field + rotor model + floating foundation” approach, realistically simulating aerodynamic loads during rotor rotation. Semi−physical model tests employ a “numerical wind field + rotor model + physical floating foundation” configuration, where theoretical aerodynamic loads are obtained through numerical calculations and then reproduced using controllable actuator structures. For fully physical model tests, a blade reconstruction framework integrated airfoil optimization, chord length adjustments, and twist angle modifications through Taylor expansion−based sensitivity analysis. The method achieved thrust coefficient similarity across the operational tip−speed ratio range. For semi−physical tests, a cruciform−arranged rotor system with eight dynamically controlled rotors and constrained thrust allocation algorithms enabled the simultaneous reproduction of periodic streamwise/crosswind thrusts and vertical−axis torque. Numerical case studies demonstrated that the system effectively simulates six−degree−of−freedom aerodynamic loads under turbulent conditions while maintaining thrust variation rates below 9.3% between adjacent time steps. These solutions addressed VAWTs’ distinct aerodynamic complexities, including azimuth−dependent Reynolds number fluctuations and multidirectional force coupling, which conventional methods fail to accommodate. The developed techniques enhanced the fidelity of floating VAWT basin tests, providing critical experimental validation tools for emerging offshore wind technologies. | |
| 653 | |a Load | ||
| 653 | |a Offshore | ||
| 653 | |a Wind power | ||
| 653 | |a Wind fields | ||
| 653 | |a Mathematical analysis | ||
| 653 | |a Aerodynamic loads | ||
| 653 | |a Azimuth | ||
| 653 | |a Model basins | ||
| 653 | |a Aerodynamic forces | ||
| 653 | |a Reynolds number | ||
| 653 | |a Sensitivity analysis | ||
| 653 | |a Cruciform tests | ||
| 653 | |a Thrust | ||
| 653 | |a Rotors | ||
| 653 | |a Floating structures | ||
| 653 | |a Physical tests | ||
| 653 | |a Model testing | ||
| 653 | |a Turbines | ||
| 653 | |a Simulation | ||
| 653 | |a Velocity | ||
| 653 | |a Aerodynamics | ||
| 653 | |a Crosswinds | ||
| 653 | |a Torque | ||
| 653 | |a Controllability | ||
| 653 | |a Loads (forces) | ||
| 653 | |a Taylor series | ||
| 653 | |a Actuators | ||
| 653 | |a Vertical axis wind turbines | ||
| 653 | |a Floating | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Chen, Ying |u China Ship Scientific Research Center, Wuxi 214064, China; chenying@cssrc.com.cn (Y.C.); kaizhang@cssrc.com.cn (K.Z.); zhangxy@cssrc.com.cn (X.Z.); chenxing@cssrc.com.cn (X.C.) | |
| 700 | 1 | |a Zhang, Kai |u China Ship Scientific Research Center, Wuxi 214064, China; chenying@cssrc.com.cn (Y.C.); kaizhang@cssrc.com.cn (K.Z.); zhangxy@cssrc.com.cn (X.Z.); chenxing@cssrc.com.cn (X.C.) | |
| 700 | 1 | |a Zhang, Xinyu |u China Ship Scientific Research Center, Wuxi 214064, China; chenying@cssrc.com.cn (Y.C.); kaizhang@cssrc.com.cn (K.Z.); zhangxy@cssrc.com.cn (X.Z.); chenxing@cssrc.com.cn (X.C.) | |
| 700 | 1 | |a Cheng Zhengshun |u State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; zhengshun.cheng@sjtu.edu.cn (Z.C.); jiang9510@sjtu.edu.cn (Z.J.) | |
| 700 | 1 | |a Jiang Zhihao |u State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; zhengshun.cheng@sjtu.edu.cn (Z.C.); jiang9510@sjtu.edu.cn (Z.J.) | |
| 700 | 1 | |a Chen, Xing |u China Ship Scientific Research Center, Wuxi 214064, China; chenying@cssrc.com.cn (Y.C.); kaizhang@cssrc.com.cn (K.Z.); zhangxy@cssrc.com.cn (X.Z.); chenxing@cssrc.com.cn (X.C.) | |
| 773 | 0 | |t Journal of Marine Science and Engineering |g vol. 13, no. 10 (2025), p. 1924-1944 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3265915591/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3265915591/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3265915591/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |