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Life Cycle Assessment to Study the Impact of the Regional Grid Mix and Temperature Differences on the GHG Emissions of Battery Electric and Conventional Vehicles
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DOI：10.1109/southeastcon42311.2019.9020666.png)
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Abstract
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Electric Vehicles are one of the key factors for a sustainable energy future. Research has not conclusively verified whether or not transportation dependence on EVs achieves the suggested sustainability goals at the rate required by climate policy and science. In this study, we conduct a life cycle assessment to measure the impact of different regional energy mixes and climates temperatures, for both the electric and conventional vehicles. Specifically, we modeled the case of Los Angeles, California vs. Detroit, Michigan for current energy mixes for both cities in 2017, as well as the projected ones for 2020 and 2030 plans. Also, we compared the difference in GHG emissions produced in the two cities to value the impact of the variations in both the weather and generation portfolios. We used GREET, a full life cycle assessment model released by the Argonne National Laboratory of the Department of Energy. The results show that the geographical differences greatly influence the level of GHG emitted from the utilization of the EVs. Specifically, for the same level of driving (considering the same car model), the EVs in Los Angeles have lower GHG emissions than in Detroit. Furthermore, Detroit's lower ambient temperature for most of the year will result in higher levels in both GHG emission intensities and battery-charging inefficiencies. Additionally, the modeled energy grid mix for Michigan in all case scenarios (2017, 2020 and 2030) contains high percentage of coal as a fuel, compared to no coal at all in California's energy grid, making the EVs charging process in Detroit lead to more GHG emissions than in Los Angeles.
Keywords:
electric vehicles (EVs)
life cycle assessment (LCA)
greenhouse gas emissions (GHGs)
energy grid mix
climate change
Renewable Energy Portfolio Standards (RPS)
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