Title | A life cycle analysis of domestic private cars regarding energy consumption and greenhouse gas emissions |
Dept | Transportation Energy and Environment Division |
Year | 2012 |
Month | |
Price | |
Summary | Currently, the statistics on energy consumption and greenhouse gas emissions of modes are analyzed by the mode operation based mechanism. However, these results cannot reflect all of the energy consumption and GHG emissions of vehicles. From the point of view of life cycle, both vehicle cycle and fuel cycle should be considered. Consequently, this study analyzed with the GREET model, a full life-cycle model from the US, adjusted parameters to meet local situations and evaluated the energy use and CO2 emissions of private gasoline vehicles and diesel vehicles, which contribute to the majority of energy use and GHG emissions in road transportation.
The results showed that vehicle operation stage accounted for the highest energy consumption and CO2 emissions throughout the vehicle life cycle, while the sum of fuel-cycle WTP (well-to-pump) and vehicle-cycle energy use and CO2 emissions, excluding fuel consumption and emissions at vehicle operation stage, were only around a quarter of total life cycle. Additionally, energy consumption and CO2 emissions during the fuel-cycle WTP stage and the vehicle operation stage of gasoline vehicles were higher than those of diesel vehicles, but there was no significant difference at vehicle-cycle stage. As for the total energy consumption and CO2 emissions throughout whole life cycle of vehicles, the results showed that gasoline vehicles consumed more petroleum and emitted more CO2 than diesel vehicles. This study illustrated an overview of comprehensive energy use and CO2 emissions scenarios from the perspective of life cycle and drew up policies based on the analysis results. Accordingly, the vehicle life cycle analysis can not only review strategic directions but also be used as references for policy-making of energy conservation and carbon reduction in the future. |
Post date | 2012/10/01 |
Hashtags |
View count:
115