Arduino-Powered Efficient Electrical Power Management for Reduced Energy Consumption

In modern times, automation has changed daily routines, especially in managing electrical energy consumption. This research introduces the "Automatic Power Office Room" project, which aims to automate lighting systems in offices using Light Dependent Resistor (LDR) sensors and Arduino Uno. The project tackles energy wastage due to human negligence by automatically controlling lights based on occupancy to optimize energy usage. The design integrates LDR sensors (LDR 1 and LDR 2) at the door frame to detect individuals, with the Arduino Uno microcontroller processing sensor data and controlling the lighting system. Operation samples demonstrate effective light management, turning lights on upon entry and off upon exit. Key instruments include LDR sensors, Arduino Uno, relay modules, and a power supply system. This project offers a practical solution to improve energy efficiency in offices, suggesting future scalability and considering parameters and variables such as sensor detection (LDR 1 and LDR 2), Arduino programming, and energy consumption optimization.

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Publication Details

Published
2024-08-10
DOI
https://doi.org/10.1109/isci62787.2024.10667919
Citations
1
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.21
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Arduino-Powered Efficient Electrical Power Management for Reduced Energy Consumption

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article

Arduino-Powered Efficient Electrical Power Management for Reduced Energy Consumption

Ahmad Arifin, Luqmanul Hakim Zulkornain, Hasrul Hafiz bin Abu Bakar, Wan Ahmad Khusairi bin Wan Chek, Mohd Saiful Najib bin Ismail Marzuki, Mohd Zamri Jusoh
article en
1 citations

Abstract

In modern times, automation has changed daily routines, especially in managing electrical energy consumption. This research introduces the "Automatic Power Office Room" project, which aims to automate lighting systems in offices using Light Dependent Resistor (LDR) sensors and Arduino Uno. The project tackles energy wastage due to human negligence by automatically controlling lights based on occupancy to optimize energy usage. The design integrates LDR sensors (LDR 1 and LDR 2) at the door frame to detect individuals, with the Arduino Uno microcontroller processing sensor data and controlling the lighting system. Operation samples demonstrate effective light management, turning lights on upon entry and off upon exit. Key instruments include LDR sensors, Arduino Uno, relay modules, and a power supply system. This project offers a practical solution to improve energy efficiency in offices, suggesting future scalability and considering parameters and variables such as sensor detection (LDR 1 and LDR 2), Arduino programming, and energy consumption optimization.

Vol. 10
Universiti Malaysia Terengganu (MY), Universiti Teknologi MARA (MY)
Affordable and clean energy
Openalex Percentile: Top 48%
IoT-based Smart Home Systems
0.21
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