Biomassa residual brasileira :modelagem de uma base de dados relacional em função da produção de biogás

• Ano de defesa: 2017
• Autor(a) principal: Cristellotti, Marco
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Rio de Janeiro; Brasil; Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia; Programa de Pós-Graduação em Engenharia de Produção; UFRJ
• Palavras-chave em Português: Engenharia de Produção; Biomassa residual; Biodigestão anaeróbia; CNPQ::ENGENHARIAS::ENGENHARIA DE PRODUCAO
• Link de acesso: http://hdl.handle.net/11422/10110

This work puts forward a methodological-experimental modeling for a relational database customized for anaerobic biodigestion and biogas production. Following the work of categorizing all residues and wastes, a model of software analysis is proposed, along with a database management system (DBMS) and users interface, taking into account two mais functions: one of consulting and onother of loading information by users and by the administrators of the system. This way, users will be enabled to load in the database analytical datas concerning the production and availaility of residues liable of being processed through anaerobic biodigestion; on the other side, users will be able to consult statistical and spotted information loaded in the system by other users and by administrators, upon the same subject. Administrators will elaborate statistical datas to facilitate the access for users, starting from information mined from official sources. Another task of administrators will be to filter manually spotted datas, during the loading process by users, when these datas exceed certain plausibility parameters determined category by category. This way, the proposal contributes to viability studies for industrial scale biogas production plants, considering that anaerobic biodigestion can contribute definetely for sustainability of final destination of the organic fraction of all types of waste in Brazil. A prototype of this model, for testing and experimental purposes, is available at: http://162.216.155.68:82/biomassa.aspx.