With the constant growth of photovoltaic energy generation and the great potential of of these systems in Brazil, monitoring factors that may influence downfalls in generation is extremely important. This project describes a online monitoring system, storage and visualization of data in the cloud applied to a photovoltaic module, allowing to keep up with electricity generation, power, voltage, direct current, module temperature, umidity, ambient temperature, lightness and irradiance upon the module, from any location with an internet connection. Using the ESP32 microcontroller along with analog and digital sensors, a hardware prototype was built developed using the Arduino \ac{IDE}, enabling the system to collect data and send it to the AWS cloud via Wi-Fi storing it in a database and visualizing it graphically through the QuickSight service. Furthermore, through the SNS, AWS has allowed alerting when the module was dirty or when the temperature was high enough to reduce electrical generation.

View the complete project in portuguese(BR): https://drive.google.com/file/d/1ge0Wb9ZYfXhWafDIYcRNHqw6Q1MuCGXX/view?usp=sharing

GONÇALVES, A. Sistema de Monitoramento de Energia Solar Fotovoltaica com Armazenamento de Dados em Nuvem. Projeto de Conclusão de Curso — Universidade do Estado de Minas Gerais, 2023.