Optimization of Free-Flow Water Turbine of Pico-Hydropower Using Computational Fluid Dynamic Analysis

The increasing global demand for sustainable energy solutions has driven research into pico-hydropower systems as an efficient and environmentally friendly method for harnessing renewable energy. This study focuses on the optimization of free-flow water turbine applications using Computational Fluid Dynamics (CFD) analysis. Free-flow turbines, which operate in rivers or channels without the need for large-scale infrastructure, offer significant advantages in terms of cost, ecological impact, and ease of deployment. The research employs advanced CFD techniques to evaluate and enhance the performance of a turbine under various conditions. Key design parameters, including water flow rates of 2 L/s, water heads of less 5 m, turbine diameters of 0.75 m and 1 m, nozzle sizes at 10 mm, 12 mm and 15 mm and the pipe diameters setting of 0.75 inch and 1 inch. Optimization algorithms are integrated with CFD simulations to identify the most efficient configurations. The findings reveal the critical role of hydrodynamic optimization in improving the energy conversion efficiency of pico-hydropower turbines. The results identified the 1 m turbine with 0.75 inch pipe size at 12 mm nozzle diameter give the optimal design, achieving a maximum power out at 100 W with 5 m and 3 m water head. The optimized turbine design demonstrated a significant improvement in performance compared to existing models, validating the potential of CFD as a powerful tool for innovation in hydropower technology.

Authors

Publication Details

Journal
Journal of Power and Energy Engineering
Published
2025-01-01
DOI
https://doi.org/10.4236/jpee.2025.139013
Primary Topic
Cavitation Phenomena in Pumps
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Free-Flow Water Turbine of Pico-Hydropower Using Computational Fluid Dynamic Analysis

Adib Zikry Abdul Kasimin, Nurul Ashikin Mohd Rais, Mohd Ikram Mohd Nor Rizan
Journal of Power and Energy Engineering
Cavitation Phenomena in Pumps
article

Optimization of Free-Flow Water Turbine of Pico-Hydropower Using Computational Fluid Dynamic Analysis

Adib Zikry Abdul Kasimin, Nurul Ashikin Mohd Rais, Mohd Ikram Mohd Nor Rizan
article en

Abstract

The increasing global demand for sustainable energy solutions has driven research into pico-hydropower systems as an efficient and environmentally friendly method for harnessing renewable energy. This study focuses on the optimization of free-flow water turbine applications using Computational Fluid Dynamics (CFD) analysis. Free-flow turbines, which operate in rivers or channels without the need for large-scale infrastructure, offer significant advantages in terms of cost, ecological impact, and ease of deployment. The research employs advanced CFD techniques to evaluate and enhance the performance of a turbine under various conditions. Key design parameters, including water flow rates of 2 L/s, water heads of less 5 m, turbine diameters of 0.75 m and 1 m, nozzle sizes at 10 mm, 12 mm and 15 mm and the pipe diameters setting of 0.75 inch and 1 inch. Optimization algorithms are integrated with CFD simulations to identify the most efficient configurations. The findings reveal the critical role of hydrodynamic optimization in improving the energy conversion efficiency of pico-hydropower turbines. The results identified the 1 m turbine with 0.75 inch pipe size at 12 mm nozzle diameter give the optimal design, achieving a maximum power out at 100 W with 5 m and 3 m water head. The optimized turbine design demonstrated a significant improvement in performance compared to existing models, validating the potential of CFD as a powerful tool for innovation in hydropower technology.

Journal of Power and Energy EngineeringVol. 13(09)
Universiti Teknikal Malaysia Melaka
Openalex Percentile: Top 71%
Cavitation Phenomena in Pumps
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimization of Free-Flow Water Turbine of Pico-Hydropower Using Computational Fluid Dynamic Analysis — Adib Zikry Abdul Kasimin, Nurul Ashikin Mohd Rais, et al. · Journal of Power and Energy Engineering (2025) | TGRS Research Map | TGRS