Open AccessGoose foot water turbine performance with variation of fins quantity and turbine depth using computational fluid dynamics (CFD) approach
Author(s) -
Retno Wulandari,
Pingkan Sihassaleh,
Ramadani,
Rofik Pribawanto,
Abdurrahman Zaqi Habibie,
Muhammad Najib Mauludi,
Yusuf Prasetyo Gemilang,
Mochammad Fafa Al Fikkri
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1034/1/012062
Subject(s) - computational fluid dynamics , turbine , marine engineering , water turbine , environmental science , draft tube , renewable energy , electricity generation , electricity , water flow , power (physics) , mechanics , mechanical engineering , engineering , environmental engineering , physics , electrical engineering , thermodynamics
Long-term electricity demand in Indonesia for the period 2003 to 2020 increased to 275 TWh. The demand for electricity in Java Island in the same period from 2003 to 2020 reached 200 TWh. Alternative and renewable energy is needed to support the electricity needs of the Indonesian. The potential for water energy is one of the alternative energies that can be maximized to obtain electrical energy, among others, it can be obtained from river water flow without falling heads or free water flow. A turbine innovation that can be used in rivers with free water flow is the goose foot water turbine. This research is focused on calculating the efficiency of the goose foot water turbine based on the variation of the number of fins and the depth of the turbine in order to obtain maximum performance. Performance analysis was conducted using the Computational Fluid Dynamics (CFD) method. The CFD results show that the highest value is obtained at the number of blades is 6, the number is fins 17, and the turbine depth is 0.35 m, namely the highest torque is 1593 Nm, the highest rotational speed is 11,705 rpm, the highest power is 1951.602 W, and the highest efficiency of 86.738%.