Identificação de regiões propícias à geração solar e eólica utilizando processamento digital de imagens.

Abstract

The geoprocessing of energy, use of satellite data in the energy context, use of techniques based on digital image processing and the development of computational tools enable and assist decision-making related to solar and wind power. This work presents an algorithm based on digital processing of images to identify favorable areas to solar and wind power. The identification of territorial regions is obtained from information, mostly coming from satellites, contained in maps, climate, population density, distribution of transmission lines, slope, hydrography, among others. This information is parameterized according to specific methodology, and overlapped. The configuration assign equal weights and different weights for the listed characteristics and overlap them for the identification of favorable solar and wind generation. Two assessments to determine the potential of solar and wind generation of a region are executed: an evaluation objective, impersonal and not polarized; and a personalized assessment based on a questionnaire involving experts from the renewable energy area. The implementation of assessments, through parameterization, allows variations in results and subsequent comparisons. The final product of the algorithm, in each case evaluated, there is a map in which stand out in color, the more favorable regions, with their geographical coordinates. The territorial area, case study evaluated was the state of Pernambuco. Moreover, the results contribute to the improvement of research and development of computational tools related to geoprocessing and use of satellite data in the generation of solar and wind energy.