Effects of Uncertainty in Electricity on Life Cycle Greenhouse Gas Emissions Analysis for Recycling Process

초록

This study aims at addressing the effect of uncertainty in electricity mix on life cycle GHG emissions analysis for the recycling process of composite materials. Monte Carlo simulation was employed for the study. To do so, the major steps include identification of probability distribution fitted to grid mix, selection of significant analysis, and evaluation as well as interpretation of the results. The 95% confidence interval and the coefficient of variation are the basis analysis of uncertainty demonstrating a reliability of GHG emissions from electricity. Using results of the 95% confidence interval of CO2 emissions, life cycle CO2 emissions associated with the acid and pyrolysis recycling process of composite material by means of functional unit were found between 1,132.16-1,264.16 and 5,450.16-6,410.16 gCO2-eq., respectively. These values span about 11.03% and 16.05% of the value from the reference calculation. Finally, the results revealed that the effect of uncertainty from electricity generation over life cycle GHG emissions of acid recycling process is not much outweigh to be critical when comparing with pyrolysis recycling process.