Design, Implementation, and Data storage for a Photovoltaic System

Abstract

The continuous growth in electrical energy demand and the environmental concerns associated with fossil fuel consumption have increased the interest in renewable energy sources. Among these sources, photovoltaic (PV) energy has emerged as an efficient and sustainable solution for clean electricity generation. This final-year project focuses on the design and development of an intelligent photovoltaic curve tracing and monitoring system based on the ESP32 microcontroller. The proposed system enables real-time acquisition of electrical measurements from a photovoltaic panel, data processing, and wireless transmission through Bluetooth communication. To enhance data management and analysis, a mobile application was developed using MIT App Inventor. The application allows real-time data reception, local storage, and visualization of measurements in both tabular and graphical forms through I–V (Current–Voltage) and P–V (Power–Voltage) characteristic curves. It also provides a simple and user-friendly interface for monitoring and analyzing photovoltaic system performance. The obtained results demonstrate the effectiveness of the proposed solution for photovoltaic module characterization, monitoring, and data recording, while ensuring portability, ease of use, and real-time visualization of measurements.