Performance Optimization of a Cone Enhanced Split Reaction Turbine by Response Surface Methodology
Performance Optimization of a Cone Enhanced Split Reaction Turbine by Response Surface Methodology |
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© 2025 by IJETT Journal | ||
Volume-73 Issue-8 |
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Year of Publication : 2025 | ||
Author : Alberto E. Lastimado Jr, Wilvin O. Siasico, Janiel D. Posada, Julius Cydrick E. Alvaro, Philip Arnold Q. Baes, Jay Ar C. Cuerbo, Mark Ryan R. Raneses, Stevenson F. Diolas, Hamza M. Amer, Ryan P. Nassef, May Y. Sodicta, Moammar A. Abdulnasser, Jann Clyde M. Nalla, Abdul Jabber S. Domado, Jalal Bazeron | ||
DOI : 10.14445/22315381/IJETT-V73I8P106 |
How to Cite?
Alberto E. Lastimado Jr, Wilvin O. Siasico, Janiel D. Posada, Julius Cydrick E. Alvaro, Philip Arnold Q. Baes, Jay Ar C. Cuerbo, Mark Ryan R. Raneses, Stevenson F. Diolas, Hamza M. Amer, Ryan P. Nassef, May Y. Sodicta, Moammar A. Abdulnasser, Jann Clyde M. Nalla, Abdul Jabber S. Domado, Jalal Bazeron, "Performance Optimization of a Cone Enhanced Split Reaction Turbine by Response Surface Methodology," International Journal of Engineering Trends and Technology, vol. 73, no. 8, pp.73-90, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I8P106
Abstract
This study investigates the relationship between water flow rate and the efficiency of a Cone-Enhanced Split Reaction Turbine (CESRT), which is typically used in pico-hydro systems for low-head hydropower applications. The research uses a Response Surface Methodology (RSM) to analyze the impact of cone size, torque, and bypass angle on turbine performance. The experimental setup simulates a pico-hydro system, allowing for controlled manipulation of flow rate and measurement of turbine performance. A cone-enhanced split reaction turbine is tested with varying cone size heights, and data is collected on torque, flow rate, and speed under different load resistances and bypass angle settings. The results show that cone size significantly impacts volume flow rate, with the 2.25-inch cone providing the most efficient performance. Increasing both torque and bypass angle generally leads to a higher volume flow rate, but the magnitude of this effect varies depending on the cone size. The bypass angle also plays a significant role in the flow dynamics, particularly for larger cone sizes, while torque has minimal impact on volume flow rate across all cone configurations. The optimum volume flow rate and efficiency conditions are achieved at a torque of 60 N-m, a bypass angle of 22.5°, and a 2.25-inch cone turbine type. Under these conditions, the maximum achieved volume flow rate is 79.7799 m³/hr, and the turbine's efficiency is 77.0772%. The study concludes that the RSM model is valid for predicting the volume flow rate of the cone-enhanced split reaction turbine and can be used to optimize its design and operation.
Keywords
Cone enhanced split reaction turbine, Energy conversion, Pico-hydropower, Response surface methodology, Split reaction turbine.
References
[1] Sascha Thyer, and Tony White, “Energy Recovery in a Commercial Building Using Pico-Hydropower Turbines: An Australian Case Study,” Heliyon, vol. 9, no. 6, pp. 1-18, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[2] M.B. Farriz et al., “Evolution of Simple Reaction Type Turbines for Pico-Hydro Applications,” Technology Journal, vol. 77, no. 32, pp. 1-9, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Ieda Geriberto Hidalgo et al., “Hydropower Generation in Future Climate Scenarios,” Energy for Sustainable Development, vol. 59, pp. 180-188, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[4] M.F. Basar et al., “Economic Analysis on Design of a Simple Hydraulic Reaction Type Turbine for Low-Head Low-Flow Pico Hydro,” International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 9, no. 2, pp. 3976-3980, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Abhijit Date, Ashwin Date, and Aliakbar Akbarzadeh, “Investigating the Potential for Using a Simple Water Reaction Turbine for Power Production from Low Head Hydro Resources,” Energy Conversion and Management, vol. 66, pp. 257-270, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Abhijit Date et al., “Examining the Potential of Split Reaction Water Turbine for Ultra-Low Head Hydro Resources,” Procedia Engineering, vol. 49, pp. 197-204, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Abhijit Date, and Aliakbar Akbarzadeh, “Design and Analysis of a Split Reaction Water Turbine,” Renewable Energy, vol. 35, no. 9, pp. 1947-1955, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Nurul Ashikin Mohd Rais et al., “Techno-Economic Evaluations: An Innovative of Hydraulic Reaction Turbine for Pico-Hydro Generation System,” Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, vol. 90, no. 2, pp. 9-19, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Laura Velásquez et al., “Experimental Optimization of the Propeller Turbine Performance Using the Response Surface Methodology,” Sustainability, vol. 16, no. 19, pp. 1-18, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Chengming Liu et al., “Flow Characteristics Analysis of a 1 GW Hydraulic Turbine at Rated Condition and Overload Operation Condition,” Processes, vol. 12, no. 2, pp. 1-19, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[11] L. Xue et al., “Effect of the Guide Vane on the Hydraulic Stability of a Low-Head, Large-Discharge Industrial Hydraulic Turbine,” Journal of Applied Fluid Mechanics, vol. 17, no. 3, pp. 713-725, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Kotaro Takamure et al., “Effect of Cone on Efficiency Improvement of a Self-Powered IoT-Based Hydro Turbine,” Advances in Mechanical Engineering, vol. 14, no. 7, pp. 1-9, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Wenlong Tian et al., “Shape Optimization of a Savonius Wind Rotor with Different Convex and Concave Sides,” Renewable Energy, vol. 117, pp. 287-299, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Surupa Shaw, and Edwin Javier Cortes, “Advanced Flow Control Innovations for Optimizing Wind and Water Turbine Performance: Toward Sustainable Energy Solutions,” Journal of Fluid Flow, Heat and Mass Transfer (JFFHMT), vol. 11, no. 1, pp. 404-415, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Jose Bernardes et al., “Hydropower Operation Optimization Using Machine Learning: A Systematic Review,” AI, vol. 3, no. 1, pp. 78-99, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Guy Richard Wakeley, “The Optimisation of Steam Turbine Design,” Ph.D. Thesis, Newcastle University, 1997.
[Google Scholar] [Publisher Link]
[17] Juan Camilo Pineda, Ainhoa Rubio-Clemente, and Edwin Chica, “Optimization of a Gorlov Helical Turbine for Hydrokinetic Application Using the Response Surface Methodology and Experimental Tests,” Energies, vol. 17, no. 22, pp. 1-21, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Andrés Chalaca et al., “Design and Optimization of a Gorlov-Type Hydrokinetic Turbine Array for Energy Generation Using Response Surface Methodology,” Energies, vol. 17, no. 19, pp. 1-21, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Vipin Uniyal, Ashish Karn, and Varun Pratap Singh, “Parametric Optimization of Archimedes Screw Turbine by Response Surface Methodology and Artificial Neural Networks,” Renewable Energy and Sustainable Development, vol. 10, no. 2, pp. 306-318, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Haymanot Beza Lamesgin, and Addisu Negash Ali, “Optimization of Screw Turbine Design Parameters to Improve the Power Output and Efficiency of Micro-Hydropower Generation,” Cogent Engineering, vol. 11, no. 1, pp. 1-14, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[21] A.O. Onokwai et al., “Application of Response Surface Methodology (RSM) for the Optimization of Energy Generation from Jebba Hydro-Power Plant, Nigeria,” ISH Journal of Hydraulic Engineering, vol. 28, no. 1, pp. 1-9, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Sagheer Abbas et al., “Modeling, Simulation and Optimization of Power Plant Energy Sustainability for IoT Enabled Smart Cities Empowered with Deep Extreme Learning Machine,” IEEE Access, vol. 8, pp. 39982-39997, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Juliana Guerra et al., “Design and Optimization of a Siphon Turbine Using the Response Surface Methodology,” Results in Engineering, vol. 22, pp. 1-13, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Mahmoud Alidadi, and Sander Calisal, “A Numerical Method for Calculation of Power Output from Ducted Vertical Axis Hydro-Current Turbines,” Computers & Fluids, vol. 105, pp. 76-81, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Akintayo Temiloluwa Abolude, and Wen Zhou, “Assessment and Performance Evaluation of a Wind Turbine Power Output,” Energies, vol. 11, no. 8, pp. 1-15, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[26] A.H. Elbatran et al., “Hydro Power and Turbine Systems Reviews,” Technology Journal, vol. 74, no. 5, pp. 83-90, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Javad Taghinezhad et al., “Performance Optimization of a Dual-Rotor Ducted Wind Turbine by Using Response Surface Method,” Energy Conversion and Management: X, vol. 12, pp. 1-13, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Avita Ayu Permanasari et al., “Experimental Investigation and Optimization of Floating Blade Water Wheel Turbine Performance Using Taguchi Method and Analysis of Variance (ANOVA),” IOP Conference Series: Materials Science and Engineering, vol. 515, pp. 1-11, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Moumtez Bensouici, Mohamed Walid Azizi, and Fatima Zohra Bensouici, “Performance Analysis and Optimization of Regenerative Gas Turbine Power Plant using RSM,” International Journal of Automotive and Mechanical Engineering, vol. 20, no. 3, pp. 10671-10683, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Moona Mohammadi et al., “Analyzing Mathematical and Software Methods for Selecting and Designing Francis Turbine in Hydropower Plants,” Journal of Clean Energy Technologies, vol. 4, no. 4, pp. 276-283, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Muhammad Shahbaz Aziz et al., “Design and Analysis of In-Pipe Hydro-Turbine for an Optimized Nearly Zero Energy Building,” Sensors, vol. 21, no. 23, pp. 1-28, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Hassan Pashaei et al., “Experimental Modeling and Optimization of CO2 Absorption into Piperazine Solutions Using RSM-CCD Methodology,” ACS Omega, vol. 5, no. 15, pp. 8432-8448, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Yan Wang, Quanlin Dong, and Yulian Zhang, “Meridional Shape Design and the Internal Flow Investigation of Centrifugal Impeller,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 231, no. 23, pp. 4319-4330, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[34] Yun Jia et al., “Experimental Study of the Effect of Splitter Blades on the Performance Characteristics of Francis Turbines,” Energies, vol. 12, no. 9, pp. 1-16, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Zheqin Yu et al., “Multiple Parameters and Target Optimization of Splitter Blades for Axial Spiral Blade Blood Pump Using Computational Fluid Mechanics, Neural Networks, and Particle Image Velocimetry Experiment,” Science Progress, vol. 104, no. 3, pp. 1-19, 2021.
[CrossRef] [Google Scholar] [Publisher Link]