Aplicação de um esquema de simulação e monitoramento via filtro de partículas na produção de etileno a partir do etanol.

• Ano de defesa: 2017
• Autor(a) principal: Salardani, Luciana Souza Ferreira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Engenharia Química; UFES; Programa de Pós-Graduação em Engenharia Química
• Palavras-chave em Português: Bioetileno; Desidratação do etanol; Modelagem; Colocação ortogonal; Filtro de partículas; Etileno; Álcool; Química; 66.0
• Link de acesso: http://repositorio.ufes.br/handle/10/7833

The present work discusses about the mathematical modeling, numerical simulation and the monitoring problem based on particle filter using single-point temperature measurements for the green ethylene production process from the catalytic dehydration of ethanol. With the scarcity of natural resources, the use of sustainable sources such as biomass instead of petroleum derivatives has been encouraged. For example, the ethylene required by the thermoplastics industry can be obtained from the catalytic dehydration of ethanol, which then generates green ethylene or bioethylene. Most of the published works about this process refer only to the synthesis of catalysts, mechanism and kinetics and no one were found considering the Bayesian estimation tool. Thus, the main contribution of this work is the proposal of an estimation scheme composed of a direct problem for the process simulation and generation of pseudo-measures, and by an inverse problem for the estimation of the interest variables by means of the particles filter. The numerical simulations allowed to understand the process and to locate the best position for the temperature sensor in the reactor. From the measurements of temperature, the proposed inferential tool estimates the latency variables and the unmeasured perturbations using the Sampling Importance Re-sampling Filter (SIR) algorithm. The filter performance is investigated according to the number of particles and the total error reduction (TER) criterion. It can be observed that the results of the numerical simulation are in agreement with the literature and that the proposed monitoring scheme was able to satisfactorily estimate the process variables and the disturbance.