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Design of a SCADA-Based Control System for Hybrid Power Generation Integrating a Screw Turbine and Solar Panels Jonah Alfred Mekel; Franklin Bawano; Alfred Noufie Mekel; Tineke Saroinsong
International Journal Science and Technology Vol. 5 No. 2 (2026): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v5i2.2894

Abstract

The increasing demand for sustainable electricity requires hybrid renewable energy systems capable of improving power supply reliability and operational supervision under variable energy-source conditions. Purpose: This study aims to design and implement a laboratory-scale hybrid renewable energy control system integrating an Archimedes screw turbine and a photovoltaic system with PLC-based control and SCADA monitoring. Methodology: An experimental design and implementation approach was employed by integrating renewable energy generation, battery storage, electrical measurement devices, an industrial PLC, HMI, and cloud-based SCADA platform. Electrical voltage, current, power, energy, battery condition, and load status were acquired during laboratory testing and evaluated based on the functionality of monitoring, data logging, trend visualization, alarm notification, battery protection, and load control. Findings: The developed system successfully integrated renewable energy generation and industrial automation into a unified supervisory platform. The PLC continuously acquired electrical parameters, executed battery protection and load-switching logic, and communicated with the HMI and SCADA system. Real-time monitoring, historical data recording, graphical trend visualization, alarm notification, and remote load control operated successfully during experimental testing. Implications: The proposed architecture provides a practical platform for renewable energy monitoring, industrial automation education, and further development of automatic energy management and predictive supervision systems. Originality: Unlike previous studies that primarily focus on photovoltaic performance, Archimedes screw turbine optimization, or SCADA architecture separately, this study integrates photovoltaic generation, an Archimedes screw turbine, battery storage, industrial PLC control, HMI visualization, and cloud-based SCADA monitoring within a single laboratory-scale hybrid renewable energy platform.
EVIDENCE-CLASSIFIED DIAGNOSIS OF INTERCONNECTED IGNITION-COIL, CONNECTOR, AND CONTROL-UNIT DRIVER FAULTS Joyfull Sidney Payumi; Nodi Poluan Sompie; Franklin Bawano
EDUCATIONE Volume 4, Issue 2, July 2026
Publisher : CV. TOTUS TUUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59397/edu.v4i2.293

Abstract

Coil-on-plug (COP) ignition faults can involve the coil, connector, harness, and electronic control unit (ECU), yet a single workshop case cannot establish the initiating component or transient chronology. This evidence-classified diagnostic case examined one Daihatsu Xenia 1.0 Non-VVT-i with an EJ-DE three-cylinder gasoline engine presenting vibration, misfire, reported loss of power, and reported increased fuel consumption. The available field record documented visual inspection, multimeter observations of supply and ignition trigger/feedback (IGT/IGF) lines, coil substitution, guarded substitution with a known-good ECU, on-board diagnostics II (OBD-II) scanning, internal ECU and connector inspection, corrective repair, and preliminary workshop verification. The multimeter did not detect comparable IGT/IGF indications on cylinders 2 and 3; replacing the suspected coils did not resolve the symptoms; and the donor ECU displayed diagnostic trouble codes (DTCs) P0300, P0352, P0353, and P0171. Degraded female connector contacts and visible damage along the original ECU ignition-driver path were subsequently observed. Repair of the documented defects was followed by restored continuity and stable operation during an unspecified workshop observation period. The evidence supports system-level diagnosis of an interconnected coil-connector-ECU fault, but not a proven cascade from coil switching to ECU damage. The principal contribution is a transparent reporting framework that separates direct observation, diagnostically supported interpretation, and unmeasured mechanism. The case also provides a safety-conscious diagnostic sequence for workshop and proposed vocational-learning use.