Development of a software tool for photovoltaic system sizing: Enhancing precision and efficiency in renewable energy projects

Abstract

The increasing demand for renewable energy highlights the importance of tools that enhance the efficiency and accessibility of photovoltaic systems. This study presents the development of a software tool for sizing photovoltaic solar systems, designed to streamline processes and improve project performance. Built on the Django framework, the application integrates solar irradiation data, equipment specifications, and user inputs to deliver accurate simulations and optimal system configurations. The tool was validated using real-world data from the Brazilian Solarimetric Atlas, demonstrating its precision and usability in diverse scenarios. By addressing challenges such as under dimensioned and over dimensioned projects, the tool supports the transition to sustainable energy practices while offering economic benefits for users. This research contributes to the adoption of distributed solar energy generation and reinforces the role of technology in mitigating environmental impacts and promoting clean energy solutions.