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.
Coping with technology uncertainty in transportation fuel portfolio design
Transportation Research Part D: Transport and Environment ; 32 ; 354-361
2014-01-01
8 pages
Article (Journal)
Electronic Resource
English
Coping with technology uncertainty in transportation fuel portfolio design
Online Contents | 2014
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