Artículos de revistas
Genetic Algorithm Applied To Study Of The Economic Viability Of Alcohol Production From Cassava Root From 2002 To 2013
Registro en:
Journal Of Cleaner Production. Elsevier Sci Ltd, v. 113, p. 483 - 494, 2016.
0959-6526
1879-1786
WOS:000370993200047
10.1016/j.jclepro.2015.11.051
Autor
Campos Benvenga
Marco Antonio; Henriques Librantz
Andre Felipe; Curvelo Santana
Jose C.; Tambourgi
Elias Basile
Institución
Resumen
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) This work aimed to investigate the economical and environmental viability of alcohol production from cassava root from 2002 to 2013 using genetic algorithms technique, a meta-heuristic technique inspired on biological natural selection process. Amylases from Aspergillus niger have been used in starch hydrolysis processes and Saccharomyces cerevisiae yeast in fermentation process. The carbon credits obtained of alcohol production and biomass from cassava residues were used to reduce cost production. The hydrolysis occurred at temperatures ranging from 30 to 60 degrees C, with starch concentrations from 8.0 to 22 g/L. Results showed the best conditions for starch hydrolysis at 23.4 g/L, 61.9 degrees C and 111.0 min, where an yield of 84% was achieved. In this condition, though in the presence of yeast, the hydrolysis yield is close 100% and the ethanol yield was 88%, after fermentation process. An alcohol cost between 0.04 and 0.62 US$/L has been found for the studied period. In addition, the company acquires 7.8 billion of carbon credits, is environment friendly, and improves its image in the society. Results show that this meta heuristic optimization technique could be useful for improvement of industrial alcohol production. (C) 2015 Elsevier Ltd. All rights reserved. 113 483 494 FAPESP UNINOVE PROSUP/CAPES Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)