Fluid–Structure Interaction Simulations of Wind Turbine Blades with Pointed Tips
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Michal Lipian & Pawel Czapski & Damian Obidowski, 2020. "Fluid–Structure Interaction Numerical Analysis of a Small, Urban Wind Turbine Blade," Energies, MDPI, vol. 13(7), pages 1-15, April.
- Ke, Wenliang & Hashem, Islam & Zhang, Wenwu & Zhu, Baoshan, 2022. "Influence of leading-edge tubercles on the aerodynamic performance of a horizontal-axis wind turbine: A numerical study," Energy, Elsevier, vol. 239(PB).
- Della Posta, Giacomo & Leonardi, Stefano & Bernardini, Matteo, 2022. "A two-way coupling method for the study of aeroelastic effects in large wind turbines," Renewable Energy, Elsevier, vol. 190(C), pages 971-992.
- Lee, Kyoungsoo & Huque, Ziaul & Kommalapati, Raghava & Han, Sang-Eul, 2017. "Fluid-structure interaction analysis of NREL phase VI wind turbine: Aerodynamic force evaluation and structural analysis using FSI analysis," Renewable Energy, Elsevier, vol. 113(C), pages 512-531.
- Lee, Kyoungsoo & Huque, Ziaul & Kommalapati, Raghava & Han, Sang-Eul, 2016. "Evaluation of equivalent structural properties of NREL phase VI wind turbine blade," Renewable Energy, Elsevier, vol. 86(C), pages 796-818.
- Sessarego, Matias & Feng, Ju & Ramos-García, Néstor & Horcas, Sergio González, 2020. "Design optimization of a curved wind turbine blade using neural networks and an aero-elastic vortex method under turbulent inflow," Renewable Energy, Elsevier, vol. 146(C), pages 1524-1535.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Zahid Mehmood & Zhenyu Wang & Xin Zhang & Guiying Shen, 2024. "Aerodynamic Performance and Numerical Validation Study of a Scaled-Down and Full-Scale Wind Turbine Models," Energies, MDPI, vol. 17(21), pages 1-22, October.
- Jorge Mario Tamayo-Avendaño & Ivan David Patiño-Arcila & César Nieto-Londoño & Julián Sierra-Pérez, 2023. "Fluid–Structure Interaction Analysis of a Wind Turbine Blade with Passive Control by Bend–Twist Coupling," Energies, MDPI, vol. 16(18), pages 1-26, September.
- Giovanni Ferrara & Alessandro Bianchini, 2021. "Special Issue “Numerical Simulation of Wind Turbines”," Energies, MDPI, vol. 14(6), pages 1-2, March.
- Alex Mendonça Bimbato & Luiz Antonio Alcântara Pereira & Miguel Hiroo Hirata, 2020. "Study of Surface Roughness Effect on a Bluff Body—The Formation of Asymmetric Separation Bubbles," Energies, MDPI, vol. 13(22), pages 1-20, November.
- Hu, Hongjie & Lu, Bingxiao & Luo, Dahai & Rong, Rong & Yang, Xingyu, 2025. "CFD analysis of different leading edge tubercles on the aerodynamic performance of NREL phase VI wind turbine blades," Energy, Elsevier, vol. 334(C).
- Chang, Hong & Li, Deyou & Zhang, Ruiyi & Wang, Hongjie & He, Yurong & Zuo, Zhigang & Liu, Shuhong, 2024. "Effect of discontinuous biomimetic leading-edge protuberances on the performance of vertical axis wind turbines," Applied Energy, Elsevier, vol. 364(C).
- Elahi, Ehsan & Zhang, Zhixin & Khalid, Zainab & Xu, Haiyun, 2022. "Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms," Energy, Elsevier, vol. 244(PB).
- Acarer, Sercan & Uyulan, Çağlar & Karadeniz, Ziya Haktan, 2020. "Optimization of radial inflow wind turbines for urban wind energy harvesting," Energy, Elsevier, vol. 202(C).
- Wang, Yuqi & Du, Qiuwan & Li, Yunzhu & Zhang, Di & Xie, Yonghui, 2022. "Field reconstruction and off-design performance prediction of turbomachinery in energy systems based on deep learning techniques," Energy, Elsevier, vol. 238(PB).
- Xiangqian Zhu & Siming Yang & Zhiqiang Yang & Chang Cai & Lei Zhang & Qing’an Li & Jin-Hwan Choi, 2025. "Structure/Aerodynamic Nonlinear Dynamic Simulation Analysis of Long, Flexible Blade of Wind Turbine," Energies, MDPI, vol. 18(16), pages 1-21, August.
- Gonçalves, Afonso N.C. & Pereira, José M.C. & Sousa, João M.M., 2022. "Passive control of dynamic stall in a H-Darrieus Vertical Axis Wind Turbine using blade leading-edge protuberances," Applied Energy, Elsevier, vol. 324(C).
- Pantua, Conrad Allan Jay & Calautit, John Kaiser & Wu, Yupeng, 2020. "A fluid-structure interaction (FSI) and energy generation modelling for roof mounted renewable energy installations in buildings for extreme weather and typhoon resilience," Renewable Energy, Elsevier, vol. 160(C), pages 770-787.
- Zhang, Xu & Zhang, Lijun & Wang, Kaifei & Cui, Xudong & Jing, Zhengjun & Liu, Ziyi & Liu, Shibo & Lu, Jiahui & Zhang, Yifan & Li, Jiaxuan, 2025. "Bionic inspired flutter suppression method for offshore ultra-long wind turbine blades," Renewable Energy, Elsevier, vol. 239(C).
- Zhu, Mingkang & Zhang, Jiacheng & Wang, Zhaohui & Yu, Xin & Zhang, Yuejun & Zhu, Jianyang & Wang, Zhong Lin & Cheng, Tinghai, 2022. "Double-blade structured triboelectric–electromagnetic hybrid generator with aerodynamic enhancement for breeze energy harvesting," Applied Energy, Elsevier, vol. 326(C).
- Sang-Lae Lee & SangJoon Shin, 2020. "Wind Turbine Blade Optimal Design Considering Multi-Parameters and Response Surface Method," Energies, MDPI, vol. 13(7), pages 1-23, April.
- Wenhua Duan & Weijie Chen & Xinyu Zhao & Weiyang Qiao, 2023. "Numerical Studies on the Effect of Leading Edge Tubercles on a Low-Pressure Turbine Cascade," Energies, MDPI, vol. 16(11), pages 1-16, May.
- Jia, Liangyue & Hao, Jia & Hall, John & Nejadkhaki, Hamid Khakpour & Wang, Guoxin & Yan, Yan & Sun, Mengyuan, 2021. "A reinforcement learning based blade twist angle distribution searching method for optimizing wind turbine energy power," Energy, Elsevier, vol. 215(PA).
- Michal Lipian & Pawel Czapski & Damian Obidowski, 2020. "Fluid–Structure Interaction Numerical Analysis of a Small, Urban Wind Turbine Blade," Energies, MDPI, vol. 13(7), pages 1-15, April.
- Zhang, Dongqin & Liu, Zhenqing & Li, Weipeng & Hu, Gang, 2023. "LES simulation study of wind turbine aerodynamic characteristics with fluid-structure interaction analysis considering blade and tower flexibility," Energy, Elsevier, vol. 282(C).
- Fan, Menghao & Sun, Zhaocheng & Dong, Xiangwei & Li, Zengliang, 2022. "Numerical and experimental investigation of bionic airfoils with leading-edge tubercles at a low-Re in considering stall delay," Renewable Energy, Elsevier, vol. 200(C), pages 154-168.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:17:y:2024:i:5:p:1090-:d:1345375. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i5p1090-d1345375.html