Design of automated power factor monitoring and repair tool for industry in real time based on Internet of Things
Department of Electrical Engineering Education, Faculty of Technology and Vocational Education, Indonesian University of Education, Bandung, Indonesia.
Research Article
International Journal of Science and Technology Research Archive, 2022, 03(02), 001–008.
Article DOI: 10.53771/ijstra.2022.3.2.0106
Publication history:
Received on 28 August 2022; revised on 01 September 2022; accepted on 04 October 2022
Abstract:
The current electricity crisis is caused by the following things; The consumption of electrical energy continues to increase, the supply of electrical energy is limited, there is often a waste of electrical energy due to the use of electrical energy that should not be used (wasteful), as well as the need for electrical energy control that can control the electrical load remotely, and the power factor is lacking. Both resulting in reactive power losses and resulting in an increase in electric current which will have an impact on higher conductor energy losses. It has been discussed a lot, but in reality it still happens a lot, it is necessary to save electrical energy in addition to saving costs but also preventing a power supply crisis by making monitoring tools and power factor improvements that can be controlled remotely based on IoT. This study aims to design and design an automatic power factor monitoring and improvement tool for industry in real time based on the internet of things starting from architecture, display monitors and hardware systems as well as conducting feasibility testing. The method used in this study is the ADDIE method (Analysis, Design, Development, Implementation, and Evaluation) through a literature review and analysis approach. The results of this study are expected to provide appropriate design recommendations and have system and material advantages and to be implemented. The impact of this research is that future research will be much better because in this study a feasibility test of the system has been carried out by conducting simulation trials.
Keywords:
Power factor; Adafruit.IO; PZEM004; Control monitoring; Real time; Industrial automation
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