Author:
Rahmat ,Nugroho Budi,Purwono Arif Hidayat
Abstract
The availability of fossil energy sources to produce electricity for the purposes of providing electricity used by industry and society is increasingly limited. Alternative sources of electricity that do not depend on fossil energy sources as an energy source to drive prime mover generators for power plants have been mobilized and developed as alternative sources of electricity, one of which is solar cells. The use of solar cells as a device that can convert sunlight into electrical voltage and then store it in a battery, becomes an alternative source of electrical energy to meet various electrical power needs. Monitoring the current and voltage produced by solar cells is very necessary to find out how much power the solar cells we use produce. We can determine the intensity of light absorbed by solar cells by measuring light intensity. The goal of this project is to monitor and track the electrical power generated by solar power plants using Internet of Things (IoT) technologies. A web server, an ESP32 to process data from the current and voltage sensors mounted on the solar cell and then transfer it to the web server, and a smartphone to monitor the current and voltage produced by the solar cell make up the built Internet of Things system. Smartphones can access the data that is sent from the ESP32 because it is saved on a web server. Data from measurements from the IoT system that we created for monitoring power on solar panels taken on 6 November 2023 until 12 November 2023 Obtained data of average/day 140.2VA and measurements of average light intensity 31,380 lux. This data describes the power produced per day from a place with the intensity of light received by solar cells to produce electrical power as a result of monitoring data from the IoT system that we developed. From the case above, the IoT system that we have developed can monitor initial data for a place where solar panels will be installed to be used as a solar power plant.
Reference16 articles.
1. Manzano S., Pena-Ortiz R., Guevara D., and Rios A., “An Overview of Remote Monitoring PV Systems: Acquisition, Storage, Processing, and Publication of Real-Time Data Based on Cloud Computing.”
2. Trillo-Montero D., Cosano-Lucena S., Gonzalez-Redondo M., Luna-Rodriguez J. J., and Santiago I., “Design and Development of a Relational Database Management System (RDBMS) with Open Source Tools for the Processing of Data Monitored in a Set of Photovoltaic (PV) Plants,” Applied Sciences (Switzerland), vol. 13, no. 3, Feb. 2023, doi: 10.3390/app13031357.
3. Logeswaran T. and SenthilKumar A., “A review of maximum power point tracking algorithms for photovoltaic systems under uniform and non-uniform irradiances,” in Energy Procedia, Elsevier Ltd, 2014, pp. 228–235. doi: 10.1016/j.egypro.2014.07.266.
4. Pawar P., TarunKumar M., and Vittal K P.. , “An IoT based Intelligent Smart Energy Management System with accurate forecasting and load strategy for renewable generation,” Measurement (Lond), vol. 152, Feb. 2020, doi: 10.1016/j.measurement.2019.107187.
5. A Quality Model for Evaluating IoT Applications