Integrated intelligent geoprocessing tool for screening candidate locations suitable for Distributed Generation Deployment

The pursuit of economic growth leads to an increase demand for energy that, in turn, may cause negative impacts on the environment due to consumption of non-renewable resources. Thus, it is necessary to search for sustainable strategies for the electric energy's conversion, standing out the dis...

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Bibliographic Details
Published in:Renewable energy 2021-11, Vol.177, p.797-806
Main Authors: Marcochi de Melo, Diego, Lopes, Elaine Coelho, Motta, Juliana Gutierrez, Asano, Roberto, Valverde, María, Suyama, Ricardo, Benedito, Ricardo da Silva, Leite, Patricia Teixeira, Cardoso de Lima, Gracieli Sartório
Format: Article
Language:English
Subjects:
Distributed generation
Fuzzy logic
Geoprocessing
Solar energy
Sustainable development
Wind energy
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Summary:The pursuit of economic growth leads to an increase demand for energy that, in turn, may cause negative impacts on the environment due to consumption of non-renewable resources. Thus, it is necessary to search for sustainable strategies for the electric energy's conversion, standing out the distributed generation and the renewable energy sources. In this context, this work presents an intelligent computational tool that combines the concepts of sustainable development and distributed generation to detect locations that are suitable for the installation of renewable energy sources such as wind turbines and solar energy systems. This tool incorporates an intelligent system based on fuzzy logic integrated within a geoprocessing software package, providing an indicative methodology to assist the stakeholders of the energy industry in their studies of energetic planning aiming a sustainable development.
ISSN:0960-1481
1879-0682
DOI:10.1016/j.renene.2021.05.100