Year: 2023 | Month: December | Volume: 10 | Issue: 12 | Pages: 352-359
DOI: https://doi.org/10.52403/ijrr.20231238
Design a Realtime Datalogger on a Simple House KWH Meter with a Capacity of 1300 VA
Suparmono1, Trahman Sitepu2, Nobert Sitorus3, Sutan Pardede4, Cholish5, Irfan Nofri6
1,2,3,4,5Program Study Electrical Engineering Polytechnic Negeri Medan
6Kost Art Medan; Program Post Graduate Universitas Muhammadiyah Sumatera Utara
Corresponding Author: Nobert Sitorus
ABSTRACT
At this time, monitoring tools that directly monitor electricity usage in the home are very necessary, because in this era of global warming, it requires us to be a little careful in order to use electricity effectively. Where if we do not control electricity usage, the costs charged per month could increase and become burdensome in the payment process. This research designs a KWH meter monitoring tool with output estimates of usage costs so that the tool created can minimize costs in the field of electricity usage. Design a circuit where the tool can display the values of voltage, current, frequency and cos phi flowing through the KWH, then also display the usage costs for a week which is indicated by a buzzer sound if usage has exceeded normal limits. The next step is the validation or calibration process for the designed tool which is planned to be able to test the tool that has been made. The results obtained from designing a realtime datalogger tool on this KWH meter can monitor household electrical energy usage with a capacity of 1300 VA where the monitoring aspects that can be displayed include voltage, current, power factor, usage power and usage costs while this tool is installed. The main system of this tool is driven by an Arduino UNO microcontroller which is programmed so that it can display voltage, current, power factor, usage power and usage costs. In the tool system that has been created, the error rate of voltage measurements is <1%. The error rate in reading current and power factor (PF) is <3%. Meanwhile, the error rate in reading power and usage costs is <9%.
Keywords: Monitoring, KWH, Data Logger
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