TY - JOUR
T1 - Design and performance of very low head water turbines using a surface vorticity model algorithm
AU - Subekti, Ridwan Arief
AU - Prawara, Budi
AU - Susatyo, Anjar
AU - Fudholi, Ahmad
AU - Wijaya, Sastra Kusuma
AU - Sudarmaji, Arief
N1 - Funding Information:
The authors would like to thank the Research Center for Electrical Power and Mechatronics – BRIN, Center for Utilization and Innovation of Science and Technology (PPII)-BRIN for the use of computational facilities through the Elsa service and the Department of Physics, FMIPA, Universitas Indonesia.
Publisher Copyright:
© 2022, Institute of Advanced Engineering and Science. All rights reserved.
PY - 2022/6
Y1 - 2022/6
N2 - This study explores the numerical optimization of water turbine runner profile performance using a surface vorticity model algorithm. The turbine is designed on a laboratory scale and operates at a net head of 0.09 m, 400 rpm, and a water flow rate of 0.003 m3/s. The initial design of the turbine runner was optimized to minimize losses in the hydrofoil. The optimization algorithm is coded in MATLAB software to obtain the optimal stagger angle that will be used in the water turbine design. Furthermore, design validation was performed using computational fluid dynamics analysis ANSYS CFX to determine the water turbine performance. The settings used in ANSYS CFX include the reference pressure of 1 atm, turbulence model shear stress transport, and inlet boundary conditions using total pressure and static pressure outlet boundary conditions. The computational fluid dynamics analysis reveals that by optimizing the design, the efficiency of the water turbine increases by approximately 2.6%. The surface vorticity model algorithm can be applied to optimize the design of the water turbine runner.
AB - This study explores the numerical optimization of water turbine runner profile performance using a surface vorticity model algorithm. The turbine is designed on a laboratory scale and operates at a net head of 0.09 m, 400 rpm, and a water flow rate of 0.003 m3/s. The initial design of the turbine runner was optimized to minimize losses in the hydrofoil. The optimization algorithm is coded in MATLAB software to obtain the optimal stagger angle that will be used in the water turbine design. Furthermore, design validation was performed using computational fluid dynamics analysis ANSYS CFX to determine the water turbine performance. The settings used in ANSYS CFX include the reference pressure of 1 atm, turbulence model shear stress transport, and inlet boundary conditions using total pressure and static pressure outlet boundary conditions. The computational fluid dynamics analysis reveals that by optimizing the design, the efficiency of the water turbine increases by approximately 2.6%. The surface vorticity model algorithm can be applied to optimize the design of the water turbine runner.
KW - Computational fluid dynamics
KW - Hydroelectric power
KW - Potential flow analysis
KW - Renewable energy
UR - http://www.scopus.com/inward/record.url?scp=85130404400&partnerID=8YFLogxK
U2 - 10.11591/ijpeds.v13.i2.pp1140-1149
DO - 10.11591/ijpeds.v13.i2.pp1140-1149
M3 - Article
AN - SCOPUS:85130404400
SN - 2088-8694
VL - 13
SP - 1140
EP - 1149
JO - International Journal of Power Electronics and Drive Systems
JF - International Journal of Power Electronics and Drive Systems
IS - 2
ER -
