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All Journal Journal of Power, Energy, and Control Applied Engineering, Innovation, and Technology
Osei-Kwame, Emmanuel
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Automatic Switching System for Submersible Motor Pump: Case Study of a Cocoa Processing Company in Ghana Osei-Kwame, Emmanuel; Sam-Okyere, Yaw; Dwomoh, Lambert
Journal of Power, Energy, and Control Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v2i1.50

Abstract

Cocoa processing companies are pivotal to Ghana's economy and the sustainability of its cocoa industry. Cocoa processing companies transform raw cocoa beans into a paste-like form known as cocoa liquor, which serves as the foundation for various cocoa-based products. These operations require using pumps to supply water for different stages of production. Most of these companies are particularly concerned about potential pump failures and the associated costs of replacements. To mitigate this risk, they have developed a technique to protect the pumps from burnout. Currently, the existing pump protection system is manually operated and suffers from inaccuracies in switching times. Additionally, fluctuations in weather conditions pose further threats to the pumps' integrity. This research focuses on automating the pump protection system to address these issues effectively. In this project, a Programmable Logic Controller (PLC) was utilized to design an automated protection system. The control program was simulated using RSLogix Micro Starter Lite to verify its functionality. Simulation results demonstrated that the system provides effective automatic protection for the pumps, thereby enhancing their operational efficiency and equipment longevity.
Design and Implementation of a Power Dispatch Controller for Optimal Energy Management in a Grid-Connected System Dwomoh, Lambert; Addo, Prince; Osei-Kwame, Emmanuel; Arkorful, Isaac; Ampem, Isaac
Journal of Power, Energy, and Control Vol. 2 No. 1 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v2i1.49

Abstract

Considering the sporadic nature of energy supply in Ghana, most communities have the main grid, solar Photovoltaic (PV) systems, and generators as their sources of power. The availability of these three individual electricity sources often necessitates the use of a manual power changeover. Manual changeovers often result in power mismatch and energy inefficiencies, resulting in the need for an automated power dispatch control system. This study explores the use of an Arduino Uno controller to fix this power mismatch and eliminate this inefficiency. This Arduino controller was used for the design of the dispatch control system, and the controlling algorithm was designed using Proteus software. The result of the simulation shows the ability of the system to alternate between prioritised and less prioritised electricity sources, depending on the availability of power, without interruption. The simulation results show the efficiency of the design to effectively dispatch power within 450ms without the need for human interference.
Control Strategy Assessment: PID and Fuzzy-PID for Compound DC Motor Systems Sam-Okyere, Yaw Amankrah; Osei-Kwame, Emmanuel; Issaka, Dienatu; Arkorful, Isaac Papa Kwesi
Journal of Power, Energy, and Control Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v2i2.74

Abstract

Compound DC motors, prized for their high torque and speed in industrial applications, demand robust control under nonlinear conditions. This study advances the field of Adaptive Neuro-Fuzzy Interface (ANFIS) by comparing a Ziegler-Nichols-tuned Proportional-Integral-Derivative (PID) controller with a novel ANFIS-PID controller for a compound DC motor. Unlike prior work, the research focuses on the unique dynamics of compound motors for real-time applications. Using MATLAB Simulink simulations. Performance was assessed via overshoot, rise time, settling time, and steady-state error under no-load and full-load conditions. The PID controller yielded 11.789% overshoot, 1.140s rise time, and 2.251s settling time, while the ANFIS-PID achieved 6.989% overshoot, 0.951s rise time, and 1.962s settling time, with a 50% lower steady-state error. These results, validated across 10 runs (p < 0.05), highlight the ANFIS-PID’s superior adaptability to the motor’s series-shunt dynamics, offering a 40.7% overshoot reduction.
Internet of Things (IoT) Based Fire Detection and Suppression System Issaka, Dienatu; Sam-Okyere, Yaw Amankrah; Osei-Kwame, Emmanuel
Applied Engineering, Innovation, and Technology Vol. 2 No. 2 (2025)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v2i2.70

Abstract

Fire incidents cause significant threats to life and property, particularly in critical infrastructure. This research presents the design and implementation of an Internet of Things (IoT)-based fire detection and suppression system featuring real-time monitoring and scalable sensor integration. The system integrates an ATmega328p microcontroller, RF transceivers, flame and smoke sensors, NodeMCU (ESP8266), solenoid valves, relays, a jockey pump, and water sprinklers. Sensor fusion ensures high detection accuracy, triggering suppression only upon simultaneous smoke and flame detection to minimize false positives. Communication between transceivers controls the pump operation, while the NodeMCU transmits sensor data to a remote web server via Wi-Fi for continuous monitoring. When a fire is detected by the sensors, the controller promptly activates the fire alarm system, which in turn triggers the jockey pump to discharge water through the sprinkler system at the affected locations.
Co-Authors Addo, Prince Ampem, Isaac Arkorful, Isaac Arkorful, Isaac Papa Kwesi Dwomoh, Lambert Issaka, Dienatu Sam-Okyere, Yaw Sam-Okyere, Yaw Amankrah