TY - GEN
T1 - Blade Profile Design Optimization of Bach-Type Savonius Vertical Axis Wind Turbine Using Cubic Spline Interpolation Graphical Method
AU - Risdhian, Vava Muhammad
AU - Djanali, Vivien Suphandani
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
PY - 2025
Y1 - 2025
N2 - Savonius Vertical Axis Wind Turbine (VAWT) is a type of rotating equipment that can convert wind kinetic energy into electrical energy. The advantages of this type of wind turbine are a simpler design than horizontal axis (HAWT) type wind turbines and a good ability to utilize wind from all directions. This research was conducted to obtain the optimal design of the Bach-type Savonius VAWT blade profile, especially in the blade arc angle (θ) and blade shape ratio (p/q) parameters. The method used is a two-dimensional Computational Fluid Dynamics (CFD) numerical simulation using ANSYS Fluent software and k-ε realizable turbulence models. The simulation was carried out with a flow velocity (U) of 4 m/s. The study was conducted by analyzing the aerodynamic performance of twenty-four Savonius VAWT models with variations in blade arc angle (θ) dimensions of 125°, 135°, 145°, 155°, 165° and 180° and blade shape ratio (p/q) variations of 0, 0.2, 0.4 and 0.6. The simulation coefficient of power (CoP) data will then be plotted into graphs on three- dimensional cartesian axes and contour graphs using the cubic spline interpolation method. From the formed graph found the optimal point of the turbine blade profile. The optimal design is compared back to the conventional semi-circular Savonius VAWT design to determine the improved performance of the optimized turbine. The optimal design is a model with blade arc angle (θ) = 139° and blade shape ratio (p/q) = 0.6. The optimal design yields a coefficient of momen (CoM) value of 0.277 and a CoP of 0.1943. The optimal design has an aerodynamic performance (CoP) higher by 8.78% compared to conventional designs.
AB - Savonius Vertical Axis Wind Turbine (VAWT) is a type of rotating equipment that can convert wind kinetic energy into electrical energy. The advantages of this type of wind turbine are a simpler design than horizontal axis (HAWT) type wind turbines and a good ability to utilize wind from all directions. This research was conducted to obtain the optimal design of the Bach-type Savonius VAWT blade profile, especially in the blade arc angle (θ) and blade shape ratio (p/q) parameters. The method used is a two-dimensional Computational Fluid Dynamics (CFD) numerical simulation using ANSYS Fluent software and k-ε realizable turbulence models. The simulation was carried out with a flow velocity (U) of 4 m/s. The study was conducted by analyzing the aerodynamic performance of twenty-four Savonius VAWT models with variations in blade arc angle (θ) dimensions of 125°, 135°, 145°, 155°, 165° and 180° and blade shape ratio (p/q) variations of 0, 0.2, 0.4 and 0.6. The simulation coefficient of power (CoP) data will then be plotted into graphs on three- dimensional cartesian axes and contour graphs using the cubic spline interpolation method. From the formed graph found the optimal point of the turbine blade profile. The optimal design is compared back to the conventional semi-circular Savonius VAWT design to determine the improved performance of the optimized turbine. The optimal design is a model with blade arc angle (θ) = 139° and blade shape ratio (p/q) = 0.6. The optimal design yields a coefficient of momen (CoM) value of 0.277 and a CoP of 0.1943. The optimal design has an aerodynamic performance (CoP) higher by 8.78% compared to conventional designs.
KW - Bach type
KW - Blade arc angle
KW - Blade shape ratio
KW - CFD
KW - Cubic spline interpolation
KW - Optimization
KW - Savonius VAWT
UR - https://www.scopus.com/pages/publications/105007512103
U2 - 10.1007/978-981-97-8197-3_11
DO - 10.1007/978-981-97-8197-3_11
M3 - Conference contribution
AN - SCOPUS:105007512103
SN - 9789819781966
T3 - Lecture Notes in Electrical Engineering
SP - 101
EP - 110
BT - Smart Innovation in Green and Sustainable Energy - Select Proceedings of ICOME 2023
A2 - Suwarno, Suwarno
A2 - Yuwono, Triyogi
A2 - Kolhe, Mohan
A2 - Aziz, Muhammad
PB - Springer Science and Business Media Deutschland GmbH
T2 - 6th International Conference on Mechanical Engineering, ICOME 2023
Y2 - 30 August 2023 through 31 August 2023
ER -