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Performance of pico-scale turgo turbine bucket using coconut shells spoons with variations inlet angle and nozzle distance to hydraulic efficiency Muhammad Faridz Athaya; Warjito; Budiarso; Ridho Irwansyah; Muhamad Agil Fadhel; Muhammad Mizan
Jurnal Teknik Mesin Indonesia Vol. 18 No. 1 (2023): Jurnal Teknik Mesin Indonesia
Publisher : Badan Kerja Sama Teknik Mesin Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36289/jtmi.v18i1.429

Abstract

The United Nations Climate Change Conference of the Parties (COP26) has a main agenda, namely evaluating COP21, where the main target of COP21 is to maintain global temperature changes below 2 degrees Celsius (MoEF, 2021). Indonesia itself is committed to zero carbon emissions by 2060, and the target of a renewable energy mix by 2025 is 23%. Indonesia’s own renewable energy potential is 443 GW [13], but not all renewable energy can be used in some areas that have terrain problems. Picohydro turbines are suitable for choice, because these turbines have a relatively constant supply, can be placed in reservoirs and rivers, and are also not dependent on weather. Among several types of picohydro, the Turgo Turbine is a suitable turbine to choose, because it has cheap construction and maintenance costs, and only requires a low head. This study aims to determine the effect of changes in the inlet angle and nozzle distance on the hydraulic efficiency of turgo turbines with coconut shell blades. Variations in the entry angle are carried out, namely 10°, 20°, 30° and distance variations, namely 100 mm, 150 mm, 200 mm. Based on the results of the study, it can be concluded that the greatest hydraulic efficiency is at a variation in the entry angle of 10° with a nozzle distance of 100 mm, that is, numerically by 49%, and experimentally by 41.8%.
Improving The Use of Biogas/Biohydrogen in Dual Fuel Engines Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN). Kombo, Hamza Khamis; Irwansyah, Ridho; Nasruddin, Nasruddin
Journal of Social Research Vol. 4 No. 11 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i10.2833

Abstract

Growing energy demand and the need to reduce the emission of greenhouse gases have created greater interest in alternative fuels such as diesel substitutes, with biodiesel, biogas, and bio-hydrogen being rated as the viable alternatives. Biodiesel improves combustion and reduces CO and HC emissions, biogas is economically viable utilization but its efficiency is impacted by the loss resulting from the presence of CO?, and bio-hydrogen supports the development of flame, thermal efficiency, and reduces carbon-based emissions. However, issues with abnormal combustion, reduced efficiency, and high levels of NOx with high levels of substitution necessitate optimization of the parameters. In this study, Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) were used to evaluated and optimize the effect of load, compression ratio, ignition pressure, and gas flow rates on engine performance and emission. RSM outputs reported load, ignition pressure, and bio-hydrogen to have strong effects on BTE, BSFC, CO, and NOx with a maximum of 40.55% BTE, 303.48 g/kWh BSFC, 2.35 g/kWh CO, and 869.78 ppm NOx. ANN models reported a good predictive capability with R² > 0.99 and were better at predicting emission trends compared to RSM. The integration of RSM and ANN offers a highly effective tool for optimizing dual-fuel diesel engines to attain improved efficiency, improved fuel utilization, and reduced emissions for green energy use.
Effect of water temperature on flow regimes and reynolds number in a passive natural circulation cooling system Setiawan, Putut Hery; Pamitran, Agus Sunjarianto; Yuliaji, Dwi; Pamungkas, Adhika Enggar; Budiman, Arif Adtyas; Amelia, Almira Citra; Maryadi, Shendy Akbar; Irwansyah, Ridho; Juarsa, Mulya
Jurnal Polimesin Vol 23, No 3 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i3.6665

Abstract

Natural circulation flow is an important phenomenon of passive cooling systems in nuclear reactor thermal management during accidents. This experimental study investigates the effect of varying water temperatures on flow regimes and Reynolds number within a passive natural circulation system. The research was conducted using a rectangular TP-loop (FASSIP-04 Ver.2) made of 1-inch SS304 pipe, 6 m high and 1.32 m wide. The water temperature setting was varied at 45°C, 55°C, 65°C, and 75°C, with a heating power of 4.2 kW, and the cooling tank was maintained at 10°C. Observations were made during transient heating, steady-state (for 3 hours), and transient cooling phases. Results show that increasing the heating tank temperature reduces fluid density and viscosity, thereby enhancing buoyancy-driven flow. This led to a transition in flow regimes from laminar to turbulent as the temperature increased. The Reynolds number increased by 169.38% when the water temperature was raised from 45°C to 75°C. Unstable flow behaviour, including fluctuating amplitudes and frequencies, was observed—characteristic of natural circulation dynamics. The study confirms a strong correlation between thermal variation and flow regime transition, providing insights into the performance of passive cooling systems under varying thermal loads.