An IoT Based Power Consumption and Losses Monitoring Technique Applied for a Mini Scale Electrical Network

Muliadi, Muliadi and Areni, Intan Sari and Palantei, Elyas and Achmad, Andani and Hadis, Muhammad Sabirin (2022) An IoT Based Power Consumption and Losses Monitoring Technique Applied for a Mini Scale Electrical Network. An IoT Based Power Consumption and Losses Monitoring Technique Applied for a Mini Scale Electrical Network, 16 (8). pp. 897-904. ISSN 1881-803X

[img] Text (Artikel-An IoT Based Power Consumption and Losses Monitoring Technique Applied for a Mini Scale Electrical Network)
3. Artikel International_ICIC_IoT Based Power Consumption and Losses Monitoring Technique Applied in Laboratory Scale Electrical Network.pdf - Published Version

Download (809kB)
[img] Text (Turnitin-An IoT Based Power Consumption and Losses Monitoring Technique Applied for a Mini Scale Electrical Network)
3. Artikel International_ICIC_IoT Based Power Consumption and Losses Monitoring Technique Applied in.pdf - Supplemental Material

Download (2MB)
[img] Text (Corresponden-An IoT Based Power Consumption and Losses Monitoring Technique Applied for a Mini Scale Electrical Network)
3.3. Submission Confirmation (ICICEL-2108-013) - muliadi7404@unm.ac.id - Email Universitas Negeri Makassar.pdf - Supplemental Material

Download (1MB)
[img] Text (Peer Review-An IoT Based Power Consumption and Losses Monitoring Technique Applied for a Mini Scale Electrical Network)
Peer Review Jurnal Internasional-An IoT Based Power Consumption and Losses Monitoring Technique for.pdf - Supplemental Material

Download (1MB)
Official URL: http://www.icicel.org/

Abstract

Consumption of the electrical energy increases significantly per year in many consumer segments including a residential power consumption sector, educational institution, industry sectors and government. Calculation and reporting tasks of the up-dated information regarding the power consumption is a crucial issue both for the electrical power service provider and end users. Those require fairly data recording and appropriate computation. In practice, the reported power consumption of each user does not appropriately indicate the actual electrical energy utilized as for the intended purposes. The power electrical consumption profile might be also contributed from the power losses encountered in the entire mini scale electrical network such as house electrical power installation network, building, offices and so on. The traditional standardized method to monitor the electrical power consumption and to analytically compute the corresponding power losses is straightforwardly performed by recording several important electrical parameters indicated on a power electrical meter module well known as kWH meter. To obtain the accurate value of actual power losses it is required the following wasting time and complicated procedures by observing whole particular electrical installation network and recording all data variabilities. Through the extensive conventional monitoring and analytical computing the intended power losses could be obtained. The novel attractive, efficient and robust technique to allow users' to real-timely monitoring the amount of energy consumption and losses for daily basis was proposed in the manuscript. So far, several energy monitoring systems have been developed but have not been able to calculate the amount of lost energy. This information is very important for analyzing energy consumption. In this paper, an Internet of Things-Based Energy Monitoring System is built using the PZEM-004T sensor module which can monitor the amount of energy consumption and lost energy simultaneously. After testing, the built-up monitoring system provided an incredibly high accuracy of 97.96% from the comparison results with two different conventional electrical meter units. The significant impact of using the developed energy monitoring system that the users can simultaneously monitor the consumption and lost energy, at any time and accessed from anywhere via the available internet connection in a flexible and real-time way.

Item Type: Article
Subjects: FAKULTAS TEKNIK
Divisions: FAKULTAS TEKNIK
Depositing User: Muliadi Muliadi
Date Deposited: 23 May 2023 08:38
Last Modified: 16 Jun 2023 12:50
URI: http://eprints.unm.ac.id/id/eprint/28880

Actions (login required)

View Item View Item