Ushalli, Muhammad Ajriy
Unknown Affiliation

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

Maximum Power Point Tracking Solar Charge Controller Based on Internet of Things with Smartphone Display Ushalli, Muhammad Ajriy; Yulkifli, Y; Mairizwan, M; Anshari, Rio
PILLAR OF PHYSICS Vol 16, No 1 (2023)
Publisher : Department of Physics – Universitas Negeri Padang UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/13584171074

Abstract

Electrical energy is a very important thing in life, but the main source at this time is still using limited materials. The solution to this problem requires renewable energy as an alternative source. This research discusses solutions with the use of solar cells. Harvesting of solar cell power is carried out using a Maximum Power Point Tracking (MPPT) based on Internet of Things (IoT). This research is classified as development research. The purpose of this research is the performance specification and design specifications. The data obtained in this study are comparisons of MPPT data and not using MPPT, and also accuracy and precision data of the instrument. Data collection was carried out on August 7, 2022 at 10.00 WIB - 16.00 WIB. In the study, it was found that the power harvested using the MPPT system was much better than without using the MPPT system. The system performance specifications are built with various electronic components and microcontrollers, all components are included in a box measuring 20cm x 15cm x 9cm. design specifications obtained an good data with MPPT based on IoT. The value of accuracy instrument is obtained 93,87% and the precision value of the instrument is obtained 94,944%. And also obtained good data transfer capabilities from the instrument, so that data transfer can be done continuously. with the method used, the research went well and in line with expectations