Author:
Martínez-Falcones Víctor Alfonso,Cobeña-Zambrano Alan,Pérez-Loor Jefferson Jesael,Cedeño-Moreira Ángel José,Zambrano-Intriago Ramón Alejandro
Abstract
A temperature and radiation monitoring system were developed to optimize the performance of solar panels at the Faculty of Engineering and Applied Sciences (FICA) of the Technical University of Manabí. The objective was to implement IoT technologies and high precision sensors for data capture, the waterfall development methodology was applied that facilitated a structured approach, ensuring that each phase, from requirements analysis to maintenance, was executed effectively. The result was the collection of critical data that allows a detailed analysis of the performance of the solar panels. These results demonstrated that the system not only improves the monitoring of solar panels, but also contributes to the more efficient use of renewable energy sources. In addition, the integration of a Dashboard with the Geoportal digital platform allowed a clear and accessible visualization of the data, facilitati ng informed decision making to optimize the performance of the panels. In conclusion, this system represents a viable solution to improve energy efficiency and offers a solid foundation for future expansions, including the incorporation of more sensors and integration with other IoT platforms, which will further strengthen the sustainability and impact of the project.
Publisher
Universidad Tecnica de Manabi
Reference24 articles.
1. Abdallah, F. S. M., Abdullah, M. N., Musirin, I., & Elshamy, A. M. (2023). Intelligent solar panel monitoring system and shading detection using artificial neural networks. Energy Reports, 9, 324-334. https://doi.org/10.1016/j.egyr.2023.05.163
2. Abdenacer, P. K., & Nafila, S. (2007). Impact of temperature difference (water-solar collector) on solar-still global efficiency. Desalination, 209(1-3), 298-305. https://doi.org/10.1016/j.desal.2007.04.043
3. AppMaster. (2024). Waterfall Methodology in Software Development: Advantages and Disadvantages.
4. Brooke, J. (1996). SUS-A quick and dirty usability scale. Usability evaluation in industry, 189(194), 4-7.
5. Cajape-Palma, J. J., Juleidy-Cedeño, N., Cedeño-Cuzme, C. L., Molina-Menendez, E. E., & Zambrano-Intriago, R. A. Monitoring System for a Self-Consumption Photovoltaic System.