Solarspot : plugin de identificación de áreas óptimas para la instalación de paneles solares en el departamento de Bolívar

Abstract

This project focuses on developing a plugin to identify suitable areas for solar panel installation in the department of Bolívar. The plugin will operate using a multi-criteria model that incorporates variables such as radiation, temperature, cloud cover, roads, and land cover. A digital elevation model is also required to calculate shadows and slope. The plugin aims to facilitate the determination of solar panel deployment sites, contributing to the energy transition towards renewable energy sources and combating climate change. The first step is to obtain the required variables, which must be normalized and rasterized to generate the multi-criteria model. This procedure will result in the identification of areas with optimal conditions for installing solar panels, generating a final map with the areas defined according to the analysis performed. This will be achieved through the programming of the plugin, which must prioritize usability and proper performance. The plugin's implementation will follow the 4+1 architecture, which includes five views: logical view, development view, process view, physical view, and finally, the view corresponding to the functional requirements, which will be documented in the use case diagram. This architecture is used to ensure optimal tool development in terms of scalability and usability