Enhancing Wind Turbine Performance using Computational Fluid Dynamics

\nThis 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.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-10-21
DOI
https://doi.org/10.1051/e3sconf/202458101004/pdf
Primary Topic
Plant pathogens and resistance mechanisms
Type
article
Field-Weighted Citation Impact
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article

Enhancing Wind Turbine Performance using Computational Fluid Dynamics

Springer Link (Chiba Institute of Technology)
Plant pathogens and resistance mechanisms
article

Enhancing Wind Turbine Performance using Computational Fluid Dynamics

article en

Abstract

\nThis 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.\n

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 40%
Plant pathogens and resistance mechanisms
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Enhancing Wind Turbine Performance using Computational Fluid Dynamics · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS