TY - GEN
T1 - Numerical Analysis of the Overlap Ratio of a Combined Blade Savonius Wind Turbine
AU - Dube, Fisokuhle
AU - Hashe, Vuyo
AU - Kunene, Thokozani
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - South Africa's utilization of non-conventional energy resources must be improved. Because of the intense wind speeds in such areas, wind energy is exclusively used in the country's coastal regions. Savonius VAWTs can run at low speeds, making them suited for use in South Africa's interior regions. However, the power conversion efficiency of the Savonius VAWTs could be better. As a result, they must be modified. Changes to the rotor configuration are expected to boost positive aerodynamic torque. This study used numerical and analytical approaches to investigate the effect of blade overlap on the power coefficient, static torque coefficient, and overlap ratio. The study also sought to investigate wind flow interactions. For performance evaluation, the combined blade configuration was used. To solve the uRANS governing equations for numerical analysis, the Spalart–Allmaras turbulence model was employed using ANSYS Fluent 2022 R2. This numerical approach helped determine the power coefficient and velocity ratio at different time steps. The mathematical definition of torque was employed in obtaining the static torque coefficient when the angle of attack was altered for the analytical analysis. The power coefficient-time graph revealed that at a 0.2 tip speed ratio, the power coefficient ranges between 0.06 and 0.1, with a maximum velocity ratio of 0.333. It was also discovered that the maximum static torque coefficient increases when the overlapping ratio of the blades increases.
AB - South Africa's utilization of non-conventional energy resources must be improved. Because of the intense wind speeds in such areas, wind energy is exclusively used in the country's coastal regions. Savonius VAWTs can run at low speeds, making them suited for use in South Africa's interior regions. However, the power conversion efficiency of the Savonius VAWTs could be better. As a result, they must be modified. Changes to the rotor configuration are expected to boost positive aerodynamic torque. This study used numerical and analytical approaches to investigate the effect of blade overlap on the power coefficient, static torque coefficient, and overlap ratio. The study also sought to investigate wind flow interactions. For performance evaluation, the combined blade configuration was used. To solve the uRANS governing equations for numerical analysis, the Spalart–Allmaras turbulence model was employed using ANSYS Fluent 2022 R2. This numerical approach helped determine the power coefficient and velocity ratio at different time steps. The mathematical definition of torque was employed in obtaining the static torque coefficient when the angle of attack was altered for the analytical analysis. The power coefficient-time graph revealed that at a 0.2 tip speed ratio, the power coefficient ranges between 0.06 and 0.1, with a maximum velocity ratio of 0.333. It was also discovered that the maximum static torque coefficient increases when the overlapping ratio of the blades increases.
KW - Combined blade
KW - Overlap ratio
KW - Savonius wind turbine
KW - Spalart–Allmaras
KW - Static torque
UR - https://www.scopus.com/pages/publications/85202151233
U2 - 10.1007/978-3-031-56878-7_4
DO - 10.1007/978-3-031-56878-7_4
M3 - Conference contribution
AN - SCOPUS:85202151233
SN - 9783031568770
T3 - Lecture Notes in Mechanical Engineering
SP - 55
EP - 75
BT - Advances in Engineering Project, Production, and Technology - Proceedings of the 13th International Conference on Engineering, Project, and Production Management, 2023
A2 - Rotimi, James Olabode Bamidele
A2 - Shahzad, Wajiha Mohsin
A2 - Sutrisna, Monty
A2 - Kahandawa, Ravindu
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Engineering, Project, and Production Management, EPPM 2023
Y2 - 29 November 2023 through 1 December 2023
ER -