Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published December 30, 2019 | Version v1
Journal article Open

Performance Enhancement of Wind Turbine

Creators

  • 1. Bachelor of Technology , Mechanical Specialization in Automotive department, Vellore Institute of Technology,Vellore
  • 1. Publisher

Description

Wind turbine performance and efficiency used to face big challenges due to the highly random nature of the wind and its own small size. Wind turbine blade geometry has direct implications on the load bearing response and performance of the blade. New Wind Turbine Blade was modelled and detailed analysis was done using Ansys and Matlab. Static, Fatigue, Vibration, Computational Fluid Dynamics and Simulink Analysis was done to compare the performance of both wind turbine blades. Velocity of 83.33 m/sec have been incorporated for analysis. Various different Mathematical Equations and proper methodology was carried out to enhance the performance of Wind Turbine. Simulink Model was designed to optimize the performance of Wind Turbine. High Lift to Drag Parameter is optimized for proper Efficiency of Wind Turbine. Turbine blades are twisted so they can always present an angle that take advantages of the ideal lift-to-drag ratio. Optimization of Tower Design was carried out to enhance the performance of wind turbine. Better energy Production parameter is solved by the analysis and Simulation. Simulink Model was designed to optimize the performance of Wind Turbine. Simulink Output results shows the output of Electromagnetic Torque, Stator Current and Rotor Speed. Stress vs Strain Graph was plotted for both designed wind Turbine blades. Coefficient of drag graph was plotted to conclude the performance of Wind Turbine Blades. Turbulence behaviour is observed for both the wind turbine blades to validate the performance of Wind Turbine blades. Epoxy Material is considered for Wind Turbine blades.

Files

B3233129219.pdf

Files (599.4 kB)

Name Size Download all
md5:f633843dd7fe165fa130ee0e30919125
599.4 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 2249-8958 (ISSN)

Subjects

ISSN
2249-8958
Retrieval Number
B3233129219/2019©BEIESP