Sistema de informação geográfica integrado a método multicritério de tomada de decisão para priorização de áreas para usinas fotovoltaicas

• Ano de defesa: 2021
• Autor(a) principal: Furtado, Paulo Antônio Xavier
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Ponta Grossa; Brasil; Programa de Pós-Graduação em Engenharia de Produção; UTFPR
• Palavras-chave em Português: Sistemas de informação geográfica; Processo decisório por critério múltiplo; Sistemas de suporte de decisão; Geração de energia fotovoltaica; Energia - Fontes alternativas; Recursos naturais renováveis; Geographic information systems; Multiple criteria decision making; Decision support systems; Photovoltaic power generation; Renewable energy sources; Renewable natural resources; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO; Engenharia/Tecnologia/Gestão
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/24695

This thesis aims to solve the problems of site selection and ordering for installation of photovoltaic solar plants, proposing a decision model applying algebra of fuzzy maps of geographical criteria in a geographic information system, with weights calculated by the technique "weighting by maximum pertinence degree of pixels” when generating a map of the suitability index of maximum geographical alternatives to select suitable site alternatives, integrated with multi­criteria decision­making methods with business criteria to order the selected site alternatives. The state of Paraná was chosen, considering the energy efficiency of the project, due to the excellent climatic, geomorphological and logistical conditions, associated with heterogeneous economic and socio­environmental factors, demonstrating as a result that the region has geographical and business conditions for the installation of solar plants photovoltaic in most of the territory. The proposed decision model proved to be adequate to avoid distortions in the selection and ordering of sites from the point of view of stakeholders, specially representatives of investors who participated in decision­making research. The model is also applicable to other site selection and ordering similar projects for the installation of photovoltaic solar plants.