Identification of Sustainable Transportation Energy Management Strategies Using a Stochastic Fractional Programming Approach under Uncertainties

摘要

Transportation sector has a critical impact on the energy system and sustainable development. In this study, a stochastic fractional transportation - energy system planning model (SFP-LR) is developed for identification of sustainable system management strategies under uncertainties. Based on a hybrid of stochastic programming and fractional programming techniques, the proposed method can systematically reflect multiple complexities in such a management system. It can not only optimize the transportation energy consumption represented as output/input ratios, but also handle imprecise uncertainties in terms of left-hand-side random variables for examining the reliability of satisfying the constraints. The SFP-LR model is applied to support regional transportation-energy planning for demonstrating effectiveness of the developed approach. The solutions obtained from the SFP-LR approach can provide optimal transportation system planning schemes for regional CO_2 emission control towards sustainable management under multiple complexities. It is also indicated that transport structure and management measures have important impacts on transportation energy consumption.