Potencial de energia fotovoltaica em telhados: desenvolvimento de metodologia com dados de sensoriamento remoto

Abstract

The aim of this study was to develop a viable alternative to the use of data LiDAR. for the purpose of subsidizing the studies to determine the potential of photovoltaic energy applied on urban buildings determining the geometry and orientation of urban roofs with the use of free software and data as SPRING and Qgis. Satellite images were used with date of 2013 available by Bing satellite, with spatial resolution of 0.55 m encompassing the entire built-up area of Campo Mourão/PR. It was a semi-automatic grading method, using a series of different segments in the software Spring, to find the best situation of sorting through several tests to differentiate the orientations of sided roofs. The results were compared with the manual sorting by photointerpretation (ground truth), which would be the ideal condition of classification, What would be the ideal condition, showing the errors of each test performed and with adaptations in the method, it was possible to identify the available area of roofs in all urbanized área. Using data from local photovoltaic production a year was possible to estimate the potential of photovoltaic production for the whole urban área of Campo Mourão, by roofs and areas in 4 different scenarios of accumulated generation adopted, these being, minimum monthly, maximum monthly, monthly average, annual total. It is possible to highlight some buildings of high potential photovoltaic generation arriving until reaching 1,47 GWh in the year, characterized generally as an industry and that could not only meet their energy needs and reduce costs, also avoid the increased demand of the national distribution network. The results obtained show that the urban area, has a great potential for power generation, and can be integrated with network and reducing the demand for electricity in the country.