E3S Web of Conferences (Jan 2024)

Enhancing Wind Turbine Performance using Computational Fluid Dynamics

  • Sravanthi Jajimoggala,
  • Kumari D. Radha,
  • Punia Ankit,
  • Jugran Sudhir,
  • Kumar Suresh,
  • Kundra Danish,
  • Chaturvedi Rishabh,
  • Alabdeli Haider

DOI
https://doi.org/10.1051/e3sconf/202458101004
Journal volume & issue
Vol. 581
p. 01004

Abstract

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This study explores the potential of Computational Fluid Dynamics (CFD) to enhance wind turbine performance by analyzing fluid flow and aerodynamic behavior. By applying CFD simulations to optimize blade designs and predict wake interactions, significant improvements in turbine efficiency and power output were achieved. The study focuses on the effects of different blade geometries, wind speeds, and turbulence models. Results show a 15% increase in aerodynamic efficiency through optimized blade angles, with a 10% reduction in turbulence-induced losses. This research provides insights into using CFD to improve turbine design and performance, making wind energy more efficient and sustainable.

Keywords