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Journal : Journal of Renewable Energy, Electrical, and Computer Engineering

Solar Energy Management in Electricity Load Application of Household Room Based on IoT Akmal, Syarifah; Meliala, Selamat; Amani, Yasir; Jalil, Saifuddin Muhammad
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i1.13425

Abstract

Currently using electrical energy is very large and electrical energy security continues to be studied by government. Developments starts from using and managing of renewable energy sources. Energy sources will not be run out. One of which is using heat energy from sunlight. Using The use of the concept of renewable energy utilization strategy is still 17%. The energy management method is to use a smart system where if the room is during the day, the LDR sensor will signal to the microcontroller so that the room lights will turn off and if there is heat the DHT22 sensor detects the room temperature of 300 C. Then the fan turns on and cools the room so that it will cool down and the load that is not needed by the grid will not function so that energy consumption will be reduced according to calculated needs. This working system is based on IOT derived from ESP 8266 to store solar energy consumed by the house room. The smart method used in the research is to place 3 DHT22 sensors for optimal heat temperature. Average temperature sensor data, LDR data is stored in the data logger in the form of xls files on Gdrive. xls files then for 15 days. From the results of the date per 15 days on 13-11-2023, the design obtained an average temperature of 30.90 with a consumption of 5.83 kWH at a cost of 7882.16 rupiah.
IoT-Based Three-Phase Induction Motor Monitoring System Syawali, Ridho; Meliala, Selamat
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 1 (2023): March 2023
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v3i1.9811

Abstract

This paper describes how to use the Internet of Things to control and monitor induction motors. Because it can be utilized from anywhere via Wi-Fi, IoT is more convenient and efficient to control the system. The purpose of this monitoring system is to prevent induction motor failure by implementing preventive measures. Induction motors are used in a variety of applications such as in industry due to their many advantages such as self-starting, high power factor, and rugged design. As a result, using the best available smart protection techniques, it is imperative to detect flaws in the motor at an early stage to improve the efficiency of the motor and ensure safe and reliable operation. The voltage, current and temperature of the induction motor can be monitored remotely with the Blynk IoT application. The monitoring results will determine the error in the motor operating parameters that caused severe damage to the motor. Three PZEM-004T sensors to obtain parameters of each R, S, and T phase of the motor in real-time and relays to control the motor are used in this system to monitor and regulate using IoT. Information from the sensor is received by the microcontroller unit, which processes the sensing data. If an abnormal value is detected, the system automatically generates a control signal to start or stop the motor.