Seleção multicriterial do tipo de minigeração distribuída usando casca de arroz

• Autor(a) principal: Costa, Alexandre Kunkel da
• Data de Publicação: 2017
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Manancial - Repositório Digital da UFSM
• dARK ID: ark:/26339/001300000z0mq
• Texto Completo: http://repositorio.ufsm.br/handle/1/13658
• topic: Biomassa; Casca de arroz; Minigeração distribuída; AHP; Seleção multicriterial; Biomass; Rice husk; Distributed generation; AHP; Multicriterial selection; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA

The growing emphasis on conserving the environment associated with dependence on fossil fuels has stimulated the development and use of biomass as a source of renewable energy. Among the bioenergy alternatives is the rice husk, considered a solid agricultural residue from the processing of this cereal. Due to its continuous production, as well as the characteristic of low density, one of the most usual destinations of rice husk is composting for biodegradation. However, this purpose triggers several environmental problems, mainly related to the emission of polluting gases, caused by the slow decomposition of organic matter. The availability of rice husk in the mills itself boosts the research and the project to implement Distributed Generation (GD), with a view to the energetic use of biomass for electric and thermal power generation. In face of these facts, this thesis aims to develop a multicriterial methodology to support decision making to select the type of distributed minigeration in the rice processing industries. To achieve this objective, all stages of the decision making process are elaborated, including: modeling to estimate residual energy potential, corresponding to generation capacity; incorporation of the actors; establishment of qualitative and quantitative criteria for possible technological alternatives; construction and structuring of the model; application of the Analytic Hierarchy Process (AHP) method to rank in order of priority of the alternatives and the selection of the type of distributed minigeration. Finally, for the heuristic validation of the methodology, the case study was proposed in a rice processing industry, for distributed minigeneration of 5 MW.