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      Effect of regional grid mix, driving patterns and climate on the comparative carbon footprint of gasoline and plug-in electric vehicles in the United States

      , , , ,
      Environmental Research Letters
      IOP Publishing

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          Life cycle air quality impacts of conventional and alternative light-duty transportation in the United States.

          Commonly considered strategies for reducing the environmental impact of light-duty transportation include using alternative fuels and improving vehicle fuel economy. We evaluate the air quality-related human health impacts of 10 such options, including the use of liquid biofuels, diesel, and compressed natural gas (CNG) in internal combustion engines; the use of electricity from a range of conventional and renewable sources to power electric vehicles (EVs); and the use of hybrid EV technology. Our approach combines spatially, temporally, and chemically detailed life cycle emission inventories; comprehensive, fine-scale state-of-the-science chemical transport modeling; and exposure, concentration-response, and economic health impact modeling for ozone (O3) and fine particulate matter (PM2.5). We find that powering vehicles with corn ethanol or with coal-based or "grid average" electricity increases monetized environmental health impacts by 80% or more relative to using conventional gasoline. Conversely, EVs powered by low-emitting electricity from natural gas, wind, water, or solar power reduce environmental health impacts by 50% or more. Consideration of potential climate change impacts alongside the human health outcomes described here further reinforces the environmental preferability of EVs powered by low-emitting electricity relative to gasoline vehicles.
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            Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains

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              Time-dependent plug-in hybrid electric vehicle charging based on national driving patterns and demographics

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                Author and article information

                Journal
                Environmental Research Letters
                Environ. Res. Lett.
                IOP Publishing
                1748-9326
                April 01 2016
                April 01 2016
                : 11
                : 4
                : 044007
                Article
                10.1088/1748-9326/11/4/044007
                3cb5650c-7eeb-4b30-a3c9-6ef24007edb3
                © 2016

                http://iopscience.iop.org/info/page/text-and-data-mining

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