PPGENE PÓS-GRADUAÇÃO EM ENERGIA FUNDAÇÃO UNIVERSIDADE FEDERAL DO ABC Phone: Not available http://propg.ufabc.edu.br/ppgene

Banca de QUALIFICAÇÃO: RICARDO DRUDI

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : RICARDO DRUDI
DATA : 01/08/2019
HORA: 10:30
LOCAL: sala 301, 3º andar, Bloco B, Campus SA da Fundação Universidade Federal do ABC, localizada na Avenida dos Estados, 5001, Santa Terezinha, Santo André, SP
TÍTULO:

Laboratory Scale Anaerobic Digestion Simulator using Agent Based Modeling


PÁGINAS: 145
GRANDE ÁREA: Outra
ÁREA: Multidisciplinar
RESUMO:

There has been a significant effort to increase the use of renewable energy sources, both due to the energy security, since renewable sources can provide energy in the long term, but also due to the reduction of the consumption of fossil fuels, large contributors to the greenhouse effect. One of the most promising renewable fuels is the biogas, a natural byproduct from the anaerobic decomposition of organic matter. The main components of biogas are methane (50 to 70%) and carbon dioxide (30% to 50%), with small traces of other gases. Biogas is produced through a complex set of biochemical reactions, performed by a large group of several microorganisms. As a renewable energy vector, biogas has two major advantages: (i) when converted to biomethane (methane content > 94%), biogas can be used as a direct substitute for natural gas; and (ii) biogas can be generated from organic residues from several activities, such as agriculture, livestock, food industry and municipal solid waste, as an alternative for the treatment of these wastes. In order to maximize the biogas yield and increase its methane content, different combinations of substrates and inoculums are used. However, anaerobic digestion research requires skilled labor, specialized equipment and daily attention, consuming both time and resources. Several mathematical, statistical and computational models have been developed to predict the qualitative and qualitative potential of the biogas production from the physical and chemical characteristics of the substrates and inoculums used. However, the simpler models tend to be specific to a small set of substrates, meanwhile the most complex models usually require a large number of parameters for a proper configuration, which makes its use very difficult. The aim of this present work is to develop a computational simulator of laboratorial scale anaerobic digestior that can be used to an extensive range of substrates and inoculums, but keeping the configuration simple, producing satisfactory prediction of the biogas production from a reduced set of configuration parameters. BioSim, the anaerobic digestion simulator, uses an artificial intelligence technique called Agent Based Modeling and Simulation, and it consists of a database of substrates and inoculums, an experimental parameters configuration module, a virtual digester, where the biochemical reactions of the anaerobic digestion are simulated, and a data output module, which provide information about the biogas production process. At the current stage, BioSim provides a statistical model for simulation, and new models and new interfaces are being developed. The BioSim can contribute to the development of scientific research in two ways: on the one hand, it intends to provide an easy-to-use platform for predictions of biogas production on laboratory scale, and, on the other hand, it provides a new option to the biogas production forecast models using artificial intelligence applied to the simulation of anaerobic digestion.


MEMBROS DA BANCA:
Presidente - Interno ao Programa - 1548098 - GILBERTO MARTINS
Membro Titular - Examinador(a) Interno ao Programa - 1544340 - PATRICIA TEIXEIRA LEITE ASANO
Membro Titular - Examinador(a) Interno ao Programa - 2605882 - JULIANA TOFANO DE CAMPOS LEITE TONELI
Membro Suplente - Examinador(a) Interno ao Programa - 1985515 - ANTONIO GARRIDO GALLEGO
Notícia cadastrada em: 06/07/2019 10:52
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