Optimization of Blowing Jet Performance on Wind Turbine Airfoil Under Dynamic Stall Conditions Using Active Machine Learning and Computational Intelligence-Reference-Cited by-同舟云学术

Optimization of Blowing Jet Performance on Wind Turbine Airfoil Under Dynamic Stall Conditions Using Active Machine Learning and Computational Intelligence

Published:2023-06-19 Issue: Volume: Page:
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Kasmaiee Si.^ORCID,Tadjfar M.,Kasmaiee Sa.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-023-07892-9.pdf

Reference49 articles.

1. Wang, P.; Liu, Q.; Li, C.; Miao, W.; Yue, M.; Xu, Z.: Investigation of the aerodynamic characteristics of horizontal axis wind turbine using an active flow control method via boundary layer suction. Renew. Energy. 198, 1032–1048 (2022). https://doi.org/10.1016/j.renene.2022.08.075

2. Karbasian, H.R.; Esfahani, J.A.; Aliyu, A.M.; Kim, K.C.: Numerical analysis of wind turbines blade in deep dynamic stall. Renew. Energy. 197, 1094–1105 (2022). https://doi.org/10.1016/j.renene.2022.07.115

3. Spentzos, A.; Barakos, G.; Badcock, K.; Richards, B.; Wernert, P.; Schreck, S.; Raffel, M.: Investigation of three-dimensional dynamic stall using computational fluid dynamics. AIAA J. 43, 1023–1033 (2005). https://doi.org/10.2514/1.8830

4. Amet, E.; Maitre, T.; Pellone, C.; Achard, J.-L.: 2D numerical simulations of blade-vortex interaction in a Darrieus turbine. J. Fluids Eng. (2009). https://doi.org/10.1115/1.4000258

5. Visbal, M.R.: Numerical investigation of deep dynamic stall of a plunging airfoil. AIAA J. 49, 2152–2170 (2011). https://doi.org/10.2514/1.J050892

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling, prediction and analysis of natural gas consumption in China using a novel dynamic nonlinear multivariable grey delay model;Energy;2024-10

2. Unsteady CFD simulation of a rotor blade under various wind conditions;Scientific Reports;2024-08-19

3. Predicting energy prices based on a novel hybrid machine learning: Comprehensive study of multi-step price forecasting;Energy;2024-07

4. Aerodynamic interference between road vehicle and train during meeting on a single-level rail-cum-road bridge under crosswind;Physics of Fluids;2024-07-01

5. A Novel Feature Selection Approach-Based Sampling Theory on Grapevine Images Using Convolutional Neural Networks;Arabian Journal for Science and Engineering;2024-06-25