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dc.contributor.CRUESPUniversidade Estadual de Campinaspt_BR
dc.typeArtigo de periódicopt_BR
dc.titleLife cycle assessment of Brazilian sugarcane products: GHG emissions and energy usept_BR
dc.contributor.authorSeabra, JEApt_BR
dc.contributor.authorMacedo, ICpt_BR
dc.contributor.authorChum, HLpt_BR
dc.contributor.authorFaroni, CEpt_BR
dc.contributor.authorSarto, CApt_BR
unicamp.authorSeabra, Joaquim E. A. Macedo, Isaias C. Univ Estadual Campinas, Sao Paulo, Brazilpt_BR
unicamp.authorSeabra, Joaquim E. A. Brazilian Bioethanol Sci & Technol Lab CTBE, Sao Paulo, Brazilpt_BR
unicamp.authorChum, Helena L. Natl Renewable Energy Lab NREL, US DOE, Golden, CO USApt_BR
unicamp.authorFaroni, Carlos E. Sarto, Celso A. Ctr Tecnol Canavieira CTC, Sao Paulo, Brazilpt_BR
dc.subjectSaccharum officinarumpt_BR
dc.subjectGHG emissions mitigationpt_BR
dc.subjectglobal warmingpt_BR
dc.subjectenergy balancept_BR
dc.subjectuncertainty analysispt_BR
dc.subjectsugarcane refineriespt_BR
dc.description.abstractSugarcane is currently the main renewable energy source in Brazil. Due to the importance of the cane industry and its contribution to a wide range of biobased energy and other products, LCA studies regarding cane-derived products are needed to assess their environmental benefits. The main objective of this work was the assessment of life cycle energy use and greenhouse gas (GHG) emissions related to cane sugar and ethanol, considering bagasse and electricity surpluses as coproducts. We performed an overall balance for the Brazilian Center-South Region, adopting different methods to evaluate sugar and ethanol production separately. The GREET 1.8c.0 model was used for the 'well-to-wheels' calculations but adapted to the comprehensive set of Brazilian parameters that best represent the Center-South Region. For the reference case, fossil energy use and GHG emissions related to sugar production were evaluated as 721 kJ/kg and 234 g CO(2)eq/kg, respectively. For the ethanol life cycle, these values were 80 kJ/MJ and 21.3 g CO(2)eq/MJ. Special attention was paid to the variation of some parameters among producing units based on data collected by industry. The consequent uncertainties in ethanol life cycle emissions were assessed through a Monte Carlo analysis based on assigned distribution of probability curves for eleven selected parameters and informed by partial statistical data available from industry for distribution generation. Projections were also made for 2020 scenario parameters based on the best in current class technologies and technological improvements deemed commercially possible today. Published in 2011 by John Wiley & Sons, Ltdpt
dc.relation.ispartofBiofuels Bioproducts & Biorefining-biofprpt_BR
dc.relation.ispartofabbreviationBiofuels Bioprod. Biorefiningpt_BR
dc.identifier.citationBiofuels Bioproducts & Biorefining-biofpr. Wiley-blackwell, v. 5, n. 5, n. 519, n. 532, 2011.pt_BR
dc.sourceWeb of Sciencept_BR
dc.description.sponsorshipOffice of the Biomass Program of the U.S. Department of Energy as part of the Brazil-USA Memorandum of Understanding to Advance Biofuels Cooperationpt_BR
dc.description.provenanceMade available in DSpace on 2014-08-01T18:34:31Z (GMT). No. of bitstreams: 0 Previous issue date: 2011en
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