Preliminary Study on the Influence of Blade Shape and Quantity in Water Turbines using the INA219 Sensor

The design of turbine blades plays a crucial role in enhancing the efficiency of converting the kinetic energy of water into electrical energy, particularly on a small scale. This study aims to evaluate the influence of blade shape and number on turbine performance, as well as to compare the accuracy of voltage measurements using an INA219 sensor based on Arduino Uno with a digital multimeter. Four blade shapes were tested: cylindrical, semi-cylindrical, concave oval, and flat plate, each configured with 4 and 8 blades. Tests were conducted under three water flow rate conditions (low, medium, and high) to observe the optimization process of turbine performance. The results showed that the cylindrical blade with 8 blades produced the highest voltage of 1.03 V at high flow rate. The average measurement difference between the sensor and the multimeter was ±0.015 V, indicating good accuracy. These findings confirm that the cylindrical blade is the most efficient, and the INA219 sensor based on Arduino is suitable for use in micro-hydro turbine voltage monitoring systems.

Authors

Publication Details

Journal
ELKOMIKA Jurnal Teknik Energi Elektrik Teknik Telekomunikasi & Teknik Elektronika
Published
2025-07-30
DOI
https://doi.org/10.26760/elkomika.v13i3.314
Primary Topic
Cavitation Phenomena in Pumps
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preliminary Study on the Influence of Blade Shape and Quantity in Water Turbines using the INA219 Sensor

Elfi Yuliza, Riska Ekawita, Ellin Ernita Mahdalya, Monaesa Sagala et al.
1 links
ELKOMIKA Jurnal Teknik Energi Elektrik Teknik Telekomunikasi & Teknik Elektronika
Cavitation Phenomena in Pumps
article

Preliminary Study on the Influence of Blade Shape and Quantity in Water Turbines using the INA219 Sensor

Elfi Yuliza, Riska Ekawita, Ellin Ernita Mahdalya, Monaesa Sagala, YOSIA PANDU SIHOMBING, TRESI PITRIA ULANDARI, EVI SULISTIANI
article en

Abstract

The design of turbine blades plays a crucial role in enhancing the efficiency of converting the kinetic energy of water into electrical energy, particularly on a small scale. This study aims to evaluate the influence of blade shape and number on turbine performance, as well as to compare the accuracy of voltage measurements using an INA219 sensor based on Arduino Uno with a digital multimeter. Four blade shapes were tested: cylindrical, semi-cylindrical, concave oval, and flat plate, each configured with 4 and 8 blades. Tests were conducted under three water flow rate conditions (low, medium, and high) to observe the optimization process of turbine performance. The results showed that the cylindrical blade with 8 blades produced the highest voltage of 1.03 V at high flow rate. The average measurement difference between the sensor and the multimeter was ±0.015 V, indicating good accuracy. These findings confirm that the cylindrical blade is the most efficient, and the INA219 sensor based on Arduino is suitable for use in micro-hydro turbine voltage monitoring systems.

ELKOMIKA Jurnal Teknik Energi Elektrik Teknik Telekomunikasi & Teknik ElektronikaVol. 13(3)
Openalex Percentile: Top 79%
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.

Preliminary Study on the Influence of Blade Shape and Quantity in Water Turbines using the INA219 Sensor — Elfi Yuliza, Riska Ekawita, et al. · ELKOMIKA Jurnal Teknik Energi Elektrik Teknik Telekomunikasi & Teknik Elektronika (2025) | TGRS Research Map | TGRS