Year: 2024
Type: article
Abstract: Real-time monitoring of several parameters such as the current and the rated power is provided by this design. Users become more conscious of their consumption with specifications based on recorded data using this design. Additionally, it enables users to quickly identify abnormal issues such as spikes that result in device failure. Also, this design offers remote access to received data by cloud platforms with mobile applications. This study evaluates the performance of an Energy Monitoring distributed among 17 electrical devices in three houses over a period of 30 days. The design demonstrated high accuracy and minimal error in its readings for the related devices with effectively capturing detailed energy consumption values. Based on results, the analysis of power and current efficiency at different power levels reveals notable performance variations. House 1 runs efficiently at low power levels; yet, efficiency levels indicate higher power levels with (96% ,97%) power and current reading efficiency respectively. House 2's efficiency at medium power displays more pronounced inefficiencies than House 1's, although it still keeps its current efficiency constant with (90% ,97%) power and current reading efficiency respectively. House 3 demonstrates that it is ideally adapted to handle high power levels, exhibiting the highest overall efficiency in high power conditions with (97% ,98%) power and current reading efficiency respectively. The extra power in every case shows how well help users to use this design with the extra reading power for other devices or reducing house power to reduce in electrical bill cost.
Authors: Amal Ali Kadhim, Aqeel Bahaa Badri, Mohammed Sami Mohammed, Adham Hadi Saleh
Institution: University of Diyala
Language: English
Topic: Arduino and IoT Applications
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4406079563