Genetic Algorithm Applied To Study Of The Economic Viability Of Alcohol Production From Cassava Root From 2002 To 2013

dc.creatorCampos Benvenga
dc.creatorMarco Antonio; Henriques Librantz
dc.creatorAndre Felipe; Curvelo Santana
dc.creatorJose C.; Tambourgi
dc.creatorElias Basile
dc.date2016
dc.datefev
dc.date2017-11-13T13:12:23Z
dc.date2017-11-13T13:12:23Z
dc.date.accessioned2018-03-29T05:50:37Z
dc.date.available2018-03-29T05:50:37Z
dc.identifierJournal Of Cleaner Production. Elsevier Sci Ltd, v. 113, p. 483 - 494, 2016.
dc.identifier0959-6526
dc.identifier1879-1786
dc.identifierWOS:000370993200047
dc.identifier10.1016/j.jclepro.2015.11.051
dc.identifierhttp://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S0959652615017163?via%3Dihub
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/326864
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1363889
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionThis 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.
dc.description113
dc.description483
dc.description494
dc.descriptionFAPESP
dc.descriptionUNINOVE
dc.descriptionPROSUP/CAPES
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.languageEnglish
dc.publisherElsevier Sci Ltd
dc.publisherOxford
dc.relationJournal of Cleaner Production
dc.rightsfechado
dc.sourceWOS
dc.subjectEconomical Analysis
dc.subjectCassava Alcohol
dc.subjectGenetic Algorithms
dc.subjectProcess Optimization
dc.subjectCarbon Credits
dc.titleGenetic Algorithm Applied To Study Of The Economic Viability Of Alcohol Production From Cassava Root From 2002 To 2013
dc.typeArtículos de revistas


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