Double-Cone Experiment and Numerical Analysis at AEDC Hypervelocity Wind Tunnel No. 9

2005 ◽  
Author(s):  
Joseph Coblish ◽  
Michael Smith ◽  
Terrell Hand ◽  
Graham Candler ◽  
Ioannis Nompelis
Keyword(s):  
Numerical Analysis ◽  
Wind Tunnel ◽  
Double Cone

scholarly journals Numerical Analysis of Hydrogen Dispersion in Wind Tunnel Modeled on Vehicle Space of Pure Car Carriers

2017 ◽  
Vol 52 (4) ◽  
pp. 520-528
Author(s):  
Hideyuki Oka ◽  
Yuji Ogata ◽  
Yasushi Oka ◽  
Susumu Ota
Keyword(s):  
Numerical Analysis ◽  
Wind Tunnel

Numerical analysis of the influence of three turbulence models on the prediction of the airflow inside at a low-speed wind tunnel.

2015 ◽  
Author(s):  
Guilherme Loyola França de Vasconcellos ◽  
Caio Dell'Oro de Oliveira ◽  
Antônio Augusto Mesquita Diniz ◽  
Sérgio de Morais Hanriot ◽  
Cristiana Brasil Maia
Keyword(s):  
Numerical Analysis ◽  
Wind Tunnel ◽  
Turbulence Models ◽  
Low Speed ◽  
Low Speed Wind Tunnel

Numerical analysis of the influence of the dimensions of the spires in an atmospheric boundary layer wind tunnel

2015 ◽  
Author(s):  
Luiz Fernando Ribeiro Ledo ◽  
Júlio César Xavier Ribeiro ◽  
Sérgio de Morais Hanriot ◽  
Cristiana Brasil Maia
Keyword(s):  
Boundary Layer ◽  
Numerical Analysis ◽  
Wind Tunnel ◽  
Atmospheric Boundary Layer

scholarly journals Experimental and Numerical Analysis of a Seawall’s Effect on Wind Turbine Performance

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3877 ◽  
Author(s):  
Hyun-Goo Kim ◽  
Wan-Ho Jeon
Keyword(s):  
Numerical Analysis ◽  
Wind Speed ◽  
Wind Tunnel ◽  
Wind Turbine ◽  
Flow Separation ◽  
Wind Farm ◽  
Wind Tunnel Experiment ◽  
Scale Model ◽  
Wind Flow ◽  
Cfd Analysis

For the purposes of this study, a wind tunnel experiment and a numerical analysis during ebb and high tides were conducted to determine the positive and negative effects of wind flow influenced by a seawall structure on the performance of wind turbines installed along a coastal seawall. The comparison of the wind flow field between a wind tunnel experiment performed with a 1/100 scale model and a computational fluid dynamics (CFD) analysis confirmed that the MP k-turbulence model estimated flow separation on the leeside of the seawall the most accurately. The CFD analysis verified that wind speed-up occurred due to the virtual hill effect caused by the seawall’s windward slope and the recirculation zone of its rear face, which created a positive effect by mitigating wind shear while increasing the mean wind speed in the wind turbine’s rotor plane. In contrast, the turbulence effect of flow separation on the seawall’s leeside was limited to the area below the wind turbine rotor, and had no negative effect. The use of the CFD verified with the comparison with the wind tunnel experiment was extended to the full-scale seawall, and the results of the analysis based on the wind turbine Supervisory Control and Data Acquisition (SCADA) data of a wind farm confirmed that the seawall effect was equivalent to a 1.5% increase in power generation as a result of a mitigation of the wind profile.

518 Numerical Analysis for the Wind Tunnel Experiments of Savonius-type and Bach-type Vertical Axis Wind Turbine

2005 ◽  
Vol 2005 (0) ◽  
pp. 191-192
Author(s):  
Yusuke TSUKIMATA ◽  
Katsuya ISHIMATSU ◽  
Kazuyuki KAGE ◽  
Toyoyasu OKUBAYASHI ◽  
Hiroya SANO
Keyword(s):  
Numerical Analysis ◽  
Wind Tunnel ◽  
Wind Turbine ◽  
Vertical Axis ◽  
Vertical Axis Wind Turbine ◽  
Wind Tunnel Experiments
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