A Proper-Orthogonal-Decomposition (POD) Study of the Wake Characteristics behind a Wind Turbine Model
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- Lignarolo, L.E.M. & Ragni, D. & Krishnaswami, C. & Chen, Q. & Simão Ferreira, C.J. & van Bussel, G.J.W., 2014. "Experimental analysis of the wake of a horizontal-axis wind-turbine model," Renewable Energy, Elsevier, vol. 70(C), pages 31-46.
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- Luo, Zhaohui & Wang, Longyan & Xu, Jian & Wang, Zilu & Yuan, Jianping & Tan, Andy C.C., 2024. "A reduced order modeling-based machine learning approach for wind turbine wake flow estimation from sparse sensor measurements," Energy, Elsevier, vol. 294(C).
- Navid Belvasi & Frances Judge & Jimmy Murphy & Cian Desmond, 2022. "Analysis of Floating Offshore Wind Platform Hydrodynamics Using Underwater SPIV: A Review," Energies, MDPI, vol. 15(13), pages 1-26, June.
- Dao, My Ha & Le, Quang Tuyen & Zhao, Xiang & Ooi, Chin Chun & Duong, Luu Trung Pham & Raghavan, Nagarajan, 2024. "Modelling of aero-mechanical response of wind turbine blade with damages by computational fluid dynamics, finite element analysis and Bayesian network," Renewable Energy, Elsevier, vol. 227(C).
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Keywords
turbine wake characteristics; POD; PIV measurements;All these keywords.
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