Avaliação da aplicabilidade de um sistema fotovoltaico conectado à rede em uma granja de aves no estado do Mato Grosso e seus impactos ambientais

Abstract

Economic development and the promotion of the quality of life of the population has been raising the concern about the supply of world energy demand. The depletion of non-renewable sources of energy such as coal, oil and natural gas, as well as the current scenario of climate change, with a large share of greenhouse gas emissions by the energy sector, tends to encourage new investments in renewable sources of energy, among them, solar energy. This study aims to evaluate the electric power generation capacity of a Grid-connected Photovoltaic System, to develop the activities of a poultry farm in the state of Mato Grosso, in view of the environmental impacts intrinsic to the system. According to information about the energy consumption of the place, as well as data from solar radiation incident in the surface, available on the database of the Brazilian Atlas of Solar Energy, it was possible to design a photovoltaic system to supply the farm’s electric energy. Based on the power of the scaled system and the capacity to generate electric energy the estimation of greenhouse gas emissions avoided during the operation of the system was calculated, according to data published by the Ministry of Science, Technology, Innovation and Communications. The results indicate the viability for the implantation of the Gridconnected Photovoltaic System in the place, considering the availability of area for implantation, constant solar irradiation incidence, allowing the generation of electric energy throughout the year and compensation to the local concessionaire, according to ANEEL’s Normative Resolution nº 482/2012, in addition to the possibility of financing from BNDES for the acquisition of the components of the system. In addition, it was demonstrated that, if the system were effectively implemented, the emission of greenhouse gases from energy consumption by the farm would be minimized in at least 17 tCO2 equivalent.