Optimization of Resilient Biofuel Infrastructure Systems under Natural Hazards

The writers aim to develop a new optimization framework that integrates resilience in biofuel infrastructure systems planning, which provides a proactive solution in mitigating the impacts of natural hazards on infrastructure systems. A novel, multiobjective stochastic mixed-integer programming model is developed to establish a biofuel infrastructure system that is effective and resilient in hedging against potential hazards through integrating four dimensions of resilience, as follows: (1) robustness, (2) rapidity, (3) redundancy, and (4) resourcefulness. As a case study, the model is used to evaluate the infrastructure requirements for cellulosic ethanol production from biomass wastes in California, which is prone to seismic hazards. An average of 19% overall system cost reduction can be achieved under seismic hazards by using the developed model over common engineering methods without resilience consideration.

Language

  • English

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Filing Info

  • Accession Number: 01525784
  • Record Type: Publication
  • Files: TRIS, ASCE
  • Created Date: May 20 2014 3:45PM