Uma solução de monitoramento no fornecimento de energia solar residencial

Abstract

This work proposes the development of a monitoring solution for residential solar energy supply, allowing users to track energy consumption and obtain detailed information about the quality of the electrical energy. To achieve this, the tool utilizes FFT in the analysis of collected data, enabling the identification of actual power consumption, the calculation of the power factor, and the evaluation of the electrical signal quality. The system architecture consists of simulated sensors, a processing server, and a responsive web interface for information visualization. Communication occurs via MQTT, an IoT protocol that ensures efficient transmission in lowbandwidth networks. Processing is performed using SpringBoot (Java) to manage sensor data, while Python simulates data acquisition, generating voltage and current signals for analysis. The results demonstrate the system’s effectiveness in analyzing energy consumption, allowing the detection of harmonic distortions and contributing to energy use optimization. Additionally, the system interprets and characterizes the quality of the electrical line, suggesting improvements for more efficient consumption. Validation was carried out by comparing the obtained results with calculations in the Octave tool, confirming the accuracy of measurements and analyses. The FFT analysis, based on the frequency of electrical signals, enables the creation of a holistic database on energy usage. The developed system proved to be efficient in monitoring and analyzing residential energy consumption, allowing for the identification of patterns, anomaly detection, and energy use optimization. The ability to track fluctuations in real time favors more conscious management, reducing waste and improving energy efficiency. Furthermore, as an open-source project, it allows for continuous collaboration and improvements, expanding its applications and impact. For future work, it is suggested to integrate a user management subsystem on an external server for remote use, in addition to implementing data collectors with unique identifiers, ensuring safer and more individualized processing and storage.