Ferramenta de análise técnico/econômica para implantação de sistemas fotovoltaicos em consumidores residenciais

Abstract

The intensification of global warming and climate change encourage the world’s population to seek a more sustainable life. An important point in this quest for a better future is electrical energy, where despite all efforts, fossil fuel from non-renewable sources still occupies a prominent place in the world’s energy matrices. Brazil, for example, in 2020 and 2021, faced water crisis problems where it affected the country’s largest source of energy - generation by hydroelectric plants - and caused a considerable increase in Brazilians’ energy bills. With all these problems, it is necessary to encourage the generation of clean energy, with a greater focus on photovoltaic solar energy. The objective of this work is the development of a responsive web platform, as a technical and economic analysis tool, for the implementation of photovoltaic systems in residential consumers, through a feasibility assessment of the application of distributed generation. The project aims to provide information to the individual who is curious and interested in a photovoltaic solar energy project – initially for users in the State of Paraná - and to help him regarding the project for the implementation of distributed generation, where in an easy way and succinct provides knowledge on the subject. With the simple use of a cell phone or computer, the user will be able to assess whether this way of generating and using energy satisfies him, bringing financial benefits and also bringing the prerogative of enjoying a clean energy system. The purpose of the tool is not to be exclusive to the end user of a photovoltaic system project connected to the grid, due to the amount of information collected, the program can serve companies in the field that carry out sizing and projects, and academics seeking knowledge in the area. The tool performs the dimensioning of a SFVCR, based on data informed by the user: location; roof area; type of installation; monthly energy consumption and amount paid; system performance rate and photovoltaic panel efficiency. After collecting data, the application informs the results of power and area needed by the system, the approximate installation value and the financial return values.