Highlights A network-based electricity dispatch model is developed for assessing PEV impacts. Average carbon intensity for PEV charging in California ranges 244–391 gCO2e/kWh. Marginal carbon intensity for PEV charging in California ranges 418–499 gCO2e/kWh. Temporal dynamics plays an important role in PEV carbon intensity assessment.

    Abstract The well-to-wheel emissions associated with plug-in electric vehicles (PEVs) depend on the source of electricity and the current non-vehicle demand on the grid, thus must be evaluated via an integrated systems approach. We present a network-based dispatch model for the California electricity grid consisting of interconnected sub-regions to evaluate the impact of growing PEV demand on the existing power grid infrastructure system and energy resources. This model, built on a linear optimization framework, simultaneously considers spatiality and temporal dynamics of energy demand and supply. It was successfully benchmarked against historical data, and used to determine the regional impacts of several PEV charging profiles on the current electricity network. Average electricity carbon intensities for PEV charging range from 244 to 391 gCO2e/kWh and marginal values range from 418 to 499 gCO2e/kWh.


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    Title :

    A network-based dispatch model for evaluating the spatial and temporal effects of plug-in electric vehicle charging on GHG emissions


    Contributors:


    Publication date :

    2015-01-01


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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