Literature DB >> 24386958

How much do electric drive vehicles matter to future U.S. emissions?

Samaneh Babaee1, Ajay S Nagpure, Joseph F DeCarolis.   

Abstract

Hybrid, plug-in hybrid, and battery electric vehicles--known collectively as electric drive vehicles (EDVs)--may represent a clean and affordable option to meet growing U.S. light duty vehicle (LDV) demand. The goal of this study is 2-fold: identify the conditions under which EDVs achieve high LDV market penetration in the U.S. and quantify the associated change in CO2, SO2, and NOX emissions through midcentury. We employ the Integrated MARKAL-EFOM System (TIMES), a bottom-up energy system model, along with a U.S. data set developed for this analysis. To characterize EDV deployment through 2050, varying assumptions related to crude oil and natural gas prices, a CO2 policy, a federal renewable portfolio standard, and vehicle battery cost were combined to form 108 different scenarios. Across these scenarios, oil prices and battery cost have the biggest effect on EDV deployment. The model results do not demonstrate a clear and consistent trend toward lower system-wide emissions as EDV deployment increases. In addition to the trade-off between lower tailpipe and higher electric sector emissions associated with plug-in vehicles, the scenarios produce system-wide emissions effects that often mask the effect of EDV deployment.

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Year:  2014        PMID: 24386958     DOI: 10.1021/es4045677

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  Quantifying the environmental impact of a Li-rich high-capacity cathode material in electric vehicles via life cycle assessment.

Authors:  Yuqi Wang; Yajuan Yu; Kai Huang; Bo Chen; Wensheng Deng; Ying Yao
Journal:  Environ Sci Pollut Res Int       Date:  2016-10-22       Impact factor: 4.223

2.  Evolution of the United States Energy System and Related Emissions under Varying Social and Technological Development Paradigms: Plausible Scenarios for Use in Robust Decision Making.

Authors:  Kristen E Brown; Troy A Hottle; Rubenka Bandyopadhyay; Samaneh Babaee; Rebecca S Dodder; P Ozge Kaplan; Carol S Lenox; Daniel H Loughlin
Journal:  Environ Sci Technol       Date:  2018-07-09       Impact factor: 9.028

3.  Energy and emissions implications of automated vehicles in the U.S. energy system.

Authors:  Kristen E Brown; Rebecca Dodder
Journal:  Transp Res D Transp Environ       Date:  2019       Impact factor: 5.495

  3 in total

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