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Life cycle assessment of Brazilian sugarcane products: GHG emissions and energy use

机译:巴西甘蔗产品的生命周期评估:温室气体排放和能源使用

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Sugarcane 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, Ltd
机译:甘蔗目前是巴西的主要可再生能源。由于甘蔗产业的重要性及其对广泛的生物化能源等产品的贡献,需要对甘蔗衍生产品的LCA研究来评估其环境效益。这项工作的主要目标是评估与甘蔗糖和乙醇相关的生命周期能量使用和温室气体(GHG)排放,考虑到甘蔗渣和电力盈余作为副产品。我们对巴西中心 - 南部地区进行了整体平衡,采用不同的方法分别评估糖和乙醇生产。迎接1.8C.0模型用于“井轮”计算,但适应了最能代表中心南部地区的综合巴西参数。对于参考情况,与糖生产相关的化石能量使用和温室气体排放分别评估为721 kJ / kg和234g CO(2)eq / kg。对于乙醇寿命周期,这些值为80 kJ / mJ和21.3g CO(2)EQ / MJ。基于行业收集的数据,对生产单位之间的一些参数的变化进行了特别注意。通过基于11个选定参数的概率曲线的分配分布,通过蒙特卡罗分析评估了乙醇生命周期排放的不确定因素,并通过从工业提供分配生成的部分统计数据来了解。还基于当前类技术的最佳技术和技术改进,还为2020种情景参数进行了预测。于2011年发表于2011年John Wiley&Sons,Ltd

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