Banca de DEFESA: RICARDO DRUDI
Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.DISCENTE : RICARDO DRUDI
DATA : 08/08/2022
HORA: 14:00
LOCAL: Via remoto
TÍTULO:
Anaerobic Digestion Simulator using Agent Based Modeling
PÁGINAS: 167
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 sources 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 source of energy, 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 the 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 had 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 simple models tend to be specific to a small set of substrates, meanwhile the complex models usually require several parameters for a proper configuration, which makes its uses difficult. The aim of this present work is to develop a computational simulator of laboratorial scale anaerobic digestion 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 computational simulator, uses an artificial intelligence technique called Agents Based Modeling and Simulation, and it consists of a database of substrates and inoculums, an experiment 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 Titular - Examinador(a) Externo ao Programa - 1761107 - RICARDO SUYAMA
Membro Titular - Examinador(a) Externo à Instituição - HELENO QUEVEDO DE LIMA
Membro Suplente - Examinador(a) Interno ao Programa - 1985515 - ANTONIO GARRIDO GALLEGO
Membro Suplente - Examinador(a) Externo ao Programa - 1222415 - MERCIA REGINA DOMINGUES MORETTO