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Modeling and control processes for first and second generation ethanol production applying neural networks

Grant number: 12/24326-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): April 01, 2013
Effective date (End): April 30, 2017
Field of knowledge:Engineering - Chemical Engineering - Chemical Process Industries
Principal Investigator:Rubens Maciel Filho
Grantee:William Eduardo Herrera Agudelo
Home Institution: Faculdade de Engenharia Química (FEQ). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:08/57873-8 - An integrated process for total bioethanol production and zero CO2 emission, AP.BIOEN.TEM
Associated scholarship(s):16/06417-9 - Cotreatment for low-cost fermentation of cellulosic Brazilian biomass, BE.EP.DR

Abstract

The development of new technologies for liquid fuel production from renewable sources have increased the researcher interest worldwide. In this context, the ethanol production from sugar cane it is an example of contributing with the energy matrix, regarding to liquid fuel, aiming to reduce crude oil consumption and contribute to the reduction of the environmental pollution. In fact, the production of ethanol from sugar cane became an important alternative for obtaining a sustainable combustible. Following this overview, this project aims to contribute to software development and operation and control procedures using computational tool that will help to reduce ethanol fuel production costs and, it will allow a more stable operation independently of the raw material variations, which at the same time, it contributes with the economic availability of the ethanol fuel production. This project proposes to develop a sensor-software for monitoring and operating the process online, as well as to implement closed loop control systems based on artificial neural networks (ANN) in order to minimize the kinetic variations impact of fermentative process, operated in fed-batch mode. These kinetic variations occurred in the first and second generation process due to the sugar quantity variations, depending on the cane type and crop sugars. In the case of second generation process, it must be considered not only the process variation associated with feedstock changes, but the variation of fermentable sugar due to the different cane bagasse pre-treatment for the hydrolyze in the second generation. Three types of pre-treatment will be considered: Hydrogen peroxide, hydrotreatment and catalyst (AU)

Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
AGUDELO, William Eduardo Herrera. Modeling and control process of first and second generation ethanol production applying neural networks. 2017. Doctoral Thesis - Universidade Estadual de Campinas, Faculdade de Engenharia Química.

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