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Reliability of LCI considering the uncertainties of energy consumptions in input-output analyses

机译:考虑投入产出分析中能源消耗不确定性的LCI的可靠性

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The dispersion of input-coefficients in input-output (I-O) tables and the effect on LCA results are evaluated, utilizing the data for compiling the I-O tables. CO_2 emission intensity and its variance with each commodity and service categorized in the I-O tables are estimated and applied to the LCA of a specific passenger car. Calculated results show that coefficients of variation (CV) of CO_2-emission intensity are about 0.8 for the intermediate commodities which are frequently assessed in LCA. CO_2 emissions induced by the production of the passenger car and the CV of the emissions are estimated at 1.3 Mg-C and 0.14, respectively. The value of CV is smaller than that of the most intermediate commodities since the CV of total emissions decreases as the number of components of the passenger car increases. Although emission intensity itself given by I-O tables has large variance, I-O tables are still useful tools for LCA if the number of components of a product is large enough.
机译:利用用于编译I-O表的数据,评估了输入-输出(I-O)表中输入系数的离散度以及对LCA结果的影响。估计I_2O表中分类的每种商品和服务的CO_2排放强度及其方差,并将其应用于特定乘用车的LCA。计算结果表明,对于在LCA中经常评估的中间商品,CO_2排放强度的变异系数(CV)约为0.8。乘用车生产引起的CO_2排放和CV估计分别为1.3 Mg-C和0.14。 CV的值小于大多数中间商品的CV,因为总排放量的CV随着乘用车部件数量的增加而降低。尽管由I-O表给出的排放强度本身具有很大的差异,但是如果产品的组件数量足够大,则I-O表仍然是LCA的有用工具。

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