Sustainable Technical and Economic Pathways for Electrified Mobility Systems in EU27 by 2030

    Project Details


    The project is part of ERA-NET Plus Electromobility+
    Pure and Plug-in-Hybrid electric vehicles can provide an appropriate technological answer to EU's energy and environmental strategic goals. They can reduce oil dependency; increase flexibility since many energy carriers can be converted to electricity; increase end-use energy efficiency through the higher efficiency of electric drive train; and significantly reduce transport related greenhouse gases and air pollutants.
    But, to avoid a carbon or efficiency leakage from the end-use to the energy supply level, assessments must be performed in an inclusive framework. Building such a framework is complex due to the technological dimension in which the transport system interacts with a highly diverse mobility demand, and with the electric system and energy system more largely.
    Introducing a long term prospective dimension and the possible transformation of those interrelated systems increases the complexity of the task. By expanding existing system analysis tools, the EV-STEP project will develop a framework for such an integrated assessment in order to assess the key technical and economic conditions of an increased electrification of European transport systems while covering the spatial heterogeneity of its territory.
    The methodology will be implemented by an experienced team of modellers in a common and shared analysis associating a bottom-up energy systems optimization model to a static computable general equilibrium model. The MARKAL/TIMES and IMACLIM-S modelling frameworks will be used. EV-STEP's ultimate goal is to state integrated policy recommendations, evaluate technical roadmaps such as those proposed by the Green Car Initiative and quantify implications for the interconnected European electric and energy system, while determining impacts on EU27?s economic input-output balance.
    Effective start/end date01/06/201231/05/2014

    Collaborative partners

    • Technical University of Denmark (lead)
    • University of Stuttgart (Project partner)
    • Société de Mathématiques Appliquées et de Sciences Humaines (Project partner)
    • École des mines Paris (Project partner)


    • Electric vehicles
    • System model
    • Macroeconomic model


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