Wind energy evaluation for a highly complex terrain using Computational Fluid Dynamics (CFD)

2017 ◽  
Vol 101 ◽  
pp. 1-9 ◽  
Author(s):  
A.Z. Dhunny ◽  
M.R. Lollchund ◽  
S.D.D.V. Rughooputh
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Wind Energy ◽  
Complex Terrain ◽  
Energy Evaluation ◽  
Computational Fluid Dynamics Cfd

scholarly journals Applying Spiroid Winglet on The Tip of NREL 5 MW Offshore Wind Turbine’s Blade to Investigate Vortex Effects

2020 ◽  
Vol 197 ◽  
pp. 08004
Author(s):  
Behrouz Fathi
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Wind Energy ◽  
Wind Turbine ◽  
Relative Velocity ◽  
Suction Side ◽  
Operating Conditions ◽  
Offshore Wind ◽  
Energy Field ◽  
Computational Fluid Dynamics Cfd

The present research describes the numerical investigation of the aerodynamics around a wind turbine blade with a winglet using Computational Fluid Dynamics, CFD. In this project our goal is to applying spiroid winglet to examine of the vortex effects on the tip of wind turbine’s blade known as “NREL offshore 5-MW baseline wind turbine”. At present this method has not yet been implemented in the wind energy sector, in particular because their production still involves excessive costs, compared to the benefits obtainable in terms of wind energy field. A spiroid winglet was investigated with different twist distribution and camber in which pointing towards the suction side (downstream). The comparisons have been done between two operating conditions in terms of pressure, thrust, torque, relative velocity, streamlines, vorticity and then mechanical power.

Efficiency prediction for storage chambers using computational fluid dynamics

1996 ◽  
Vol 33 (9) ◽  
pp. 163-170 ◽  
Author(s):  
Virginia R. Stovin ◽  
Adrian J. Saul
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Shear Stress ◽  
Particle Tracking ◽  
Critical Value ◽  
Complex Geometries ◽  
Bed Shear Stress ◽  
Breadth Ratio ◽  
Computational Fluid Dynamics Cfd ◽  
Simulated Flow

Research was undertaken in order to identify possible methodologies for the prediction of sedimentation in storage chambers based on computational fluid dynamics (CFD). The Fluent CFD software was used to establish a numerical model of the flow field, on which further analysis was undertaken. Sedimentation was estimated from the simulated flow fields by two different methods. The first approach used the simulation to predict the bed shear stress distribution, with deposition being assumed for areas where the bed shear stress fell below a critical value (τcd). The value of τcd had previously been determined in the laboratory. Efficiency was then calculated as a function of the proportion of the chamber bed for which deposition had been predicted. The second method used the particle tracking facility in Fluent and efficiency was calculated from the proportion of particles that remained within the chamber. The results from the two techniques for efficiency are compared to data collected in a laboratory chamber. Three further simulations were then undertaken in order to investigate the influence of length to breadth ratio on chamber performance. The methodology presented here could be applied to complex geometries and full scale installations.

Sign in / Sign up

Export Citation Format

Share Document