A reduced-order model for representing the reactive power response of a doubly fed wind turbine during ZVRT

2021 ◽  
Vol 13 (5) ◽  
pp. 056302
Author(s):  
Enyu Cai ◽  
Lei Dong ◽  
Xiaozhong Liao
Keyword(s):  
Wind Turbine ◽  
Reactive Power ◽  
Reduced Order Model ◽  
Order Model ◽  
Reduced Order ◽  
Doubly Fed ◽  
Power Response

scholarly journals Reduced order model of offshore wind turbine wake by proper orthogonal decomposition

2020 ◽  
Vol 82 ◽  
pp. 108554 ◽  
Author(s):  
M. Salman Siddiqui ◽  
Sidra Tul Muntaha Latif ◽  
Muhammad Saeed ◽  
Muhammad Rahman ◽  
Abdul Waheed Badar ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Proper Orthogonal Decomposition ◽  
Orthogonal Decomposition ◽  
Reduced Order Model ◽  
Offshore Wind ◽  
Offshore Wind Turbine ◽  
Order Model ◽  
Reduced Order ◽  
Proper Orthogonal ◽  
Turbine Wake

scholarly journals Data-driven Reduced Order Model for prediction of wind turbine wakes

2015 ◽  
Vol 625 ◽  
pp. 012009 ◽  
Author(s):  
G V Iungo ◽  
C Santoni-Ortiz ◽  
M Abkar ◽  
F Porté-Agel ◽  
M A Rotea ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Reduced Order Model ◽  
Data Driven ◽  
Order Model ◽  
Reduced Order

Development of a reduced order model for nonlinear analysis of the wind turbine blade dynamics

2015 ◽  
Vol 76 ◽  
pp. 264-282 ◽  
Author(s):  
Mohammad M. Rezaei ◽  
Mehdi Behzad ◽  
Hassan Haddadpour ◽  
Hamed Moradi
Keyword(s):  
Wind Turbine ◽  
Nonlinear Analysis ◽  
Turbine Blade ◽  
Wind Turbine Blade ◽  
Reduced Order Model ◽  
Order Model ◽  
Reduced Order

scholarly journals Data Driven Modal Decomposition of the Wake behind an NREL-5MW Wind Turbine

2021 ◽  
Vol 6 (4) ◽  
pp. 44
Author(s):  
Stefania Cherubini ◽  
Giovanni De Cillis ◽  
Onofrio Semeraro ◽  
Stefano Leonardi ◽  
Pietro De Palma
Keyword(s):  
Flow Field ◽  
Wind Turbine ◽  
Large Scale ◽  
Reduced Order Model ◽  
Dynamic Mode Decomposition ◽  
Speed Ratio ◽  
Dynamic Mode ◽  
Order Model ◽  
Modal Decomposition ◽  
Reduced Order

The wake produced by a utility-scale wind turbine invested by a laminar, uniform inflow is analyzed by means of two different modal decompositions, the proper orthogonal decomposition (POD) and the dynamic mode decomposition (DMD), in its sparsity-promoting variant. The turbine considered is the NREL-5MW at tip-speed ratio λ=7 and a diameter-based Reynolds number of the order 108. The flow is simulated through large eddy simulation, where the forces exerted by the blades are modeled using the actuator line method, whereas tower and nacelle are modeled employing the immersed boundary method. The main flow structures identified by both modal decompositions are compared and some differences emerge that can be of great importance for the formulation of a reduced-order model. In particular, a high-frequency mode directly related to the tip vortices is found using both methods, but it is ranked differently. The other dominant modes are composed by large-scale low-frequency structures, but with different frequency content and spatial structure. The most energetic 200 POD modes account for ≈20% only of the flow kinetic energy. While using the same number of DMD modes, it is possible to reconstruct the flow field to within 80% accuracy. Despite the similarities between the set of modes, the comparison between these modal-decomposition techniques points out that an energy-based criterion such as that used in the POD may not be suitable for formulating a reduced-order model of wind turbine wakes, while the sparsity-promoting DMD appears able to perform well in reconstructing the flow field with only a few modes.

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