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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/33819
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dc.contributor.authorPereira Sartori, Maria Marcia-
dc.contributor.authorFlorentino, Helenice de Oliveira-
dc.date.accessioned2014-05-20T15:22:55Z-
dc.date.accessioned2016-10-25T17:56:45Z-
dc.date.available2014-05-20T15:22:55Z-
dc.date.available2016-10-25T17:56:45Z-
dc.date.issued2007-09-01-
dc.identifierhttp://dx.doi.org/10.1016/j.energy.2006.11.013-
dc.identifier.citationEnergy. Oxford: Pergamon-Elsevier B.V., v. 32, n. 9, p. 1745-1748, 2007.-
dc.identifier.issn0360-5442-
dc.identifier.urihttp://hdl.handle.net/11449/33819-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/33819-
dc.description.abstractThis work presents a mathematical model for helping mills choose sugarcane varieties for planting. It maximizes crop residual biomass energy balance by considering the difference between generated and consumed energy in the process of transferring this biomass from the field to the processing center; it takes into account enterprise demand restrictions and cane planting area. For this full zero-one linear programming techniques were proposed. The model is viable for choosing sugarcane varieties that would benefit sugarcane production and industrial systems, by reducing crop residue and increasing final energy production. (c) 2006 Published by Elsevier Ltd.en
dc.format.extent1745-1748-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.sourceWeb of Science-
dc.subjectmodelpt
dc.subjectinteger programmingpt
dc.subjectharvesting residuept
dc.subjectsugarcanept
dc.titleEnergy balance optimization of sugarcane crop residual biomassen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Estadual Paulista, Dept Prod Engn, São Paulo, Brazil-
dc.description.affiliationUniv Estadual Paulista, Biosci Inst, Dept Biostat, São Paulo, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, Dept Prod Engn, São Paulo, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, Biosci Inst, Dept Biostat, São Paulo, Brazil-
dc.identifier.doi10.1016/j.energy.2006.11.013-
dc.identifier.wosWOS:000248679600017-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofEnergy-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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