Highlights We address a transportation fuel portfolio problem under technology uncertainty. A stochastic programming model based on a scenario tree is developed. We consider sustainability measures of cost, emission, and adaptability. Model results include fuel portfolio and corresponding infrastructure needs.

    Abstract In this paper, we present a stochastic programming model to cope with uncertainty brought by cellulosic ethanol technology evolvement in transportation fuel portfolio design problems. The model takes into account a range of possible technology evolvement scenarios, and identifies a solution to the energy portfolio, together with the corresponding infrastructure needs, that complies with existing environmental requirements and is cost-effective, reliable, and adaptable to future technology changes. Using a California case study, we demonstrate that the proposed stochastic model produces a more reliable solution than its deterministic counterparts.


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    Title :

    Coping with technology uncertainty in transportation fuel portfolio design


    Contributors:
    Chen, Yuche (author) / Fan, Yueyue (author)


    Publication date :

    2014-01-01


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English