Performance analysis of a vertical axis wind turbine using computational fluid dynamics. (15th January 2023)

• Record Type: Journal Article
• Authors: Wilberforce, Tabbi; Alaswad, Abed
• Is Part Of: Energy. Volume 263:Part E(2023)
• Publication Date: 2023-01-15
• Subjects: Vertical axis wind turbine -- Computational fluid dynamics -- Aerodynamics; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2022.125892
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Vertical axis wind turbines (VAWTs) have gained popularity in the last few decades due to their numerous advantages when deployed in urban areas. Despite this, Vertical axis wind turbines have complex aerodynamics, dynamic stall, hence lower performance. Low/zero starting torque, noise, visual impact, as well as blade safeness are further hurdles when they are fitted into the physical environment. Due to these pertinent issues that comes to play in a vertical axis wind turbine, the current investigation explores an augmented vertical axis wind turbine (AVAWT) having a rotor and a stator. The outcome of the study highlighted the effect of mesh density and the type of turbulence model selected in the determination of the forces being exerted on the blade using computational fluid dynamics. Investigation into the effect of time steps showed lesser effect of this parameter on the performance of the blade computationally. The newly developed augmented turbine blades improved the output power by 1.35 times in comparison to an open rotor. The shape for the conical surface and the stator blade impacted the performance as well. Furthermore, it was deduced that there was higher dynamic stall for scenarios where the tip speed ratios were lower. The study showed the importance of the stator in a vertical axis wind turbine in ensuring that the incoming wind attains some acceleration as well as creating a lower pressure outlet but overall aids in the improvement of the power and torque coefficients by more than 36%. Highlights: Effect of mesh density on vertical axis turbine blade design using CFD is presented. Power and torque coefficient increased by more than 36%. The speed of the wind has direct correlation to the stator design.