Litcius/Paper detail

Boosting H-Darrieus vertical axis wind turbine performance: A CFD investigation of J-Blade aerodynamics

Ahmed Abdallah, Micheal A. William, Nour A. Moharram, Iham F. Zidane

2025Results in Engineering20 citationsDOIOpen Access PDF

Abstract

• J-blade design significantly improves VAWT self-starting torque by 142 %. • Grid refinement ensures solution independence and numerical reliability. • CFD framework ensures convergence with optimized azimuthal increments. • Gromeka acceleration vectors used to assess wake stability. • The J-blade offers a promising solution for efficient urban wind energy applications. This study investigates the aerodynamic performance of a J-shaped blade design for H-Darrieus Vertical Axis Wind Turbines (VAWTs) to improve self-starting capability and overall efficiency. A two-dimensional Unsteady Reynolds-Averaged Navier-Stokes (URANS) computational fluid dynamics (CFD) model was developed using ANSYS Fluent 19.2, validated against experimental data, and employed to analyze airflow around the J-blade geometry. The numerical results indicate that the J-blade achieves a 142 % increase in starting torque at a low tip speed ratio (λ = 0.2), addressing a key limitation of conventional VAWT designs in low-wind environments. Additionally, at an optimal λ of 1.6, the J-blade maintains comparable torque to the conventional NACA0015 airfoil, while reducing vortex shedding and wake turbulence intensity by 12.3 %, leading to improved torque uniformity and lower mechanical stresses. Mesh independence studies confirmed that a grid size of approximately 1.2 million cells provides reliable results with <1.2 % deviation from benchmarked studies. The J-blade design demonstrated higher lift contribution due to its modified trailing edge, enhancing aerodynamic performance without significantly increasing drag. At λ = 2.5, minor performance trade-offs were observed, with the J-blade experiencing a 3.6 % reduction in torque compared to NACA0015. However, the overall findings suggest that J-blades can significantly enhance VAWT efficiency, making them well-suited for urban wind energy applications.

Topics & Concepts

AerodynamicsBlade (archaeology)Computational fluid dynamicsAerospace engineeringVertical axis wind turbineTurbine bladeTurbineVertical axisBoosting (machine learning)PhysicsMechanicsGeologyMarine engineeringEngineeringMechanical engineeringComputer scienceEngineering drawingArtificial intelligenceWind Energy Research and DevelopmentWind and Air Flow StudiesAerodynamics and Fluid Dynamics Research
Boosting H-Darrieus vertical axis wind turbine performance: A CFD investigation of J-Blade aerodynamics | Litcius