Abstract
In the last few years, several R&D institutes, as well as private sector initiatives, have focused on the development of technological solutions aiming to increase the efficiency and sustainability (economic, environmental and social) of the production process of sugar, ethanol and bioelectricity from sugarcane. Moreover, it is clear that understanding and optimizing the 1st Generation plants are essential to enable the production of 2nd Generation ethanol. In this context, this project aims, through a coordinated effort of the research groups involved, the development of a "Virtual 1st Generation Sugarcane Plant" that allow to compare and optimize different technological routes in the production of sugar, ethanol and bioelectricity. In order to achieve the objectives of this proposal it will be used a simulation platform called EMSO (Environment for Modeling, Simulation, and Optimization) for the development of the Virtual Sugarcane Plant. This software, designed and developed in Brazil, is an equation-oriented dynamic simulator and process optimizer. The main feature of this software is the full access to the developed mathematical models and the ease of insertion of new models or improvement of the existing ones, enabling the development of a library of models specially focused on sugarcane plants. The development of the "Virtual 1st Generation Sugarcane Plant" represents a great challenge in terms of gathering and managing all information from all research groups: this proposal includes the collection of technical data on sugarcane plants, modeling and energy integration of several stages of production, acquisition of equipment costs as well as a collaborative and synergistic action of various groups through the management and sharing of large amounts of information and models generated along the project. (AU)
Scientific publications
(26)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
KOMATSU, JENNY S.;
MOTTA, BEATRIZ M.;
TIBURCIO, RODOLFO S.;
NETO, ANA M. PEREIRA;
DE PAPE, POL W. G.;
MANDELLI, DALMO;
CARVALHO, WAGNER A.
Iron Nitrate Modifiied Cotton and Polyester Textile Fabric Applied for Reactive Dye Removal from Water Solution.
Journal of the Brazilian Chemical Society,
v. 32,
n. 5,
p. 964-977,
MAY 2021.
Web of Science Citations: 0.
YAMAKAWA, CELINA K.;
RIVERAB, ELMER CCOPA;
KWON, HYUN;
HERRERA AGUDELO, WILLIAM E.;
SAAD, MARCELO B. W.;
LEAL, JAIRO;
ROSSELL, V, CARLOS E.;
BONOMI, ANTONIO;
MACIEL FILHO, RUBENS.
Study of influence of yeast cells treatment on sugarcane ethanol fermentation: Operating conditions and kinetics.
Biochemical Engineering Journal,
v. 147,
p. 1-10,
JUL 15 2019.
Web of Science Citations: 0.
HENRIQUE, JOAO PAULO;
DE SOUSA, JR., RUY;
SECCHI, ARGIMIRO R.;
RAVAGNANI, MAURO A. S. S.;
COSTA, CALIANE B. B.
Optimization of chemical engineering problems with EMSO software.
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION,
v. 26,
n. 1,
p. 141-161,
JAN 2018.
Web of Science Citations: 2.
CARDOSO, T. F.;
CHAGAS, M. F.;
RIVERA, E. C.;
CAVALETT, O.;
MORAIS, E. R.;
GERALDO, V. C.;
BRAUNBECK, O.;
DA CUNHA, M. P.;
CORTEZ, L. A. B.;
BONOMI, A.
A vertical integration simplified model for straw recovery as feedstock in sugarcane biorefineries.
BIOMASS & BIOENERGY,
v. 81,
p. 216-223,
OCT 2015.
Web of Science Citations: 13.
DE SOUZA DIAS, MARINA OLIVEIRA;
MACIEL FILHO, RUBENS;
MANTELATTO, PAULO EDUARDO;
CAVALETT, OTAVIO;
VAZ ROSSELL, CARLOS EDUARDO;
BONOMI, ANTONIO;
LIMA VERDE LEAL, MANOEL REGIS.
Sugarcane processing for ethanol and sugar in Brazil.
ENVIRONMENTAL DEVELOPMENT,
v. 15,
p. 35-51,
JUL 2015.
Web of Science Citations: 53.