TY - JOUR
T1 - Runner profile optimisation of gravitational vortex water turbine
AU - Subekti, Ridwan Arief
AU - Wijaya, Sastra Kusuma
AU - Sudarmaji, Arief
AU - Atmaja, Tinton Dwi
AU - Prawara, Budi
AU - Susatyo, Anjar
AU - Fudholi, Ahmad
N1 - Funding Information:
The authors would like to thank the Directorate of Research and Development, Universitas Indonesia under Hibah PUTI 2022 (Grant No. NKB-289/UN2.RST/HKP.05.00/2022).
Publisher Copyright:
© 2023 Institute of Advanced Engineering and Science. All rights reserved.
PY - 2023/10
Y1 - 2023/10
N2 - This study discusses the numerical optimisation and performance testing of the turbine runner profile for the designed gravitational water vortex turbine. The initial design of the turbine runner is optimised using a surface vorticity algorithm coded in MATLAB to obtain the optimal stagger angle. Design validation is carried out using computational fluid dynamics (CFD) Ansys CFX to determine the performance of the turbine runner with the turbulent shear stress transport model. The CFD analysis shows that by optimising the design, the water turbine efficiency increases by about 2.6%. The prototype of the vortex turbine runner is made using a 3D printing machine with resin material. It is later tested in a laboratory-scale experiment that measures the shaft power, shaft torque and turbine efficiency in correspondence with rotational speeds varying from 150 to 650 rpm. Experiment results validate that the optimised runner has an efficiency of 45.3% or about 14% greater than the initial design runner, which has an efficiency of 39.7%.
AB - This study discusses the numerical optimisation and performance testing of the turbine runner profile for the designed gravitational water vortex turbine. The initial design of the turbine runner is optimised using a surface vorticity algorithm coded in MATLAB to obtain the optimal stagger angle. Design validation is carried out using computational fluid dynamics (CFD) Ansys CFX to determine the performance of the turbine runner with the turbulent shear stress transport model. The CFD analysis shows that by optimising the design, the water turbine efficiency increases by about 2.6%. The prototype of the vortex turbine runner is made using a 3D printing machine with resin material. It is later tested in a laboratory-scale experiment that measures the shaft power, shaft torque and turbine efficiency in correspondence with rotational speeds varying from 150 to 650 rpm. Experiment results validate that the optimised runner has an efficiency of 45.3% or about 14% greater than the initial design runner, which has an efficiency of 39.7%.
KW - Computational fluid dynamics
KW - Micro hydropower
KW - Numerical optimisation
KW - Potential flow analysis
KW - Propeller-type turbine
KW - Very low head
UR - http://www.scopus.com/inward/record.url?scp=85163924007&partnerID=8YFLogxK
U2 - 10.11591/ijece.v13i5.pp4777-4788
DO - 10.11591/ijece.v13i5.pp4777-4788
M3 - Article
AN - SCOPUS:85163924007
SN - 2088-8708
VL - 13
SP - 4777
EP - 4788
JO - International Journal of Electrical and Computer Engineering
JF - International Journal of Electrical and Computer Engineering
IS - 5
ER -