Integrated intelligent geoprocessing tool for screening candidate locations suitable for Distributed Generation Deployment
| Autor: | Roberto Asano, Ricardo Suyama, Elaine Coelho Lopes, María Cleofé Valverde, Ricardo da Silva Benedito, Patricia Teixeira Leite, Diego Marcochi de Melo, Gracieli Sartório Cardoso de Lima, Juliana Gutierrez Motta |
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| Rok vydání: | 2021 |
| Předmět: |
Sustainable development
Wind power 060102 archaeology Renewable Energy Sustainability and the Environment business.industry Computer science 020209 energy Geoprocessing Context (language use) 06 humanities and the arts 02 engineering and technology Solar energy Renewable energy Software deployment Distributed generation 0202 electrical engineering electronic engineering information engineering Systems engineering 0601 history and archaeology business |
| Zdroj: | Renewable Energy. 177:797-806 |
| ISSN: | 0960-1481 |
| DOI: | 10.1016/j.renene.2021.05.100 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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