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Resilience and robustness in long-term planning of the national energy and transportation system

  • Eduardo Ibanez*
  • , Steven Lavrenz
  • , Konstantina Gkritza
  • , Diego A. Mejia-Giraldo
  • , Venkat Krishnan
  • , James D. McCalley
  • , Arun K. Somani
  • *Corresponding author for this work
  • National Renewable Energy Laboratory
  • Purdue University
  • Universidad de Antioquia
  • Iowa State University

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

The most significant energy consuming infrastructures and the greatest contributors to greenhouse gases for any developed nation today are electric and freight/passenger transportation systems. Technological alternatives for producing, transporting and converting energy for electric and transportation systems are numerous. Addressing costs, sustainability and resilience of electric and transportation needs requires long-term assessment since these capital-intensive infrastructures take years to build with lifetimes approaching a century. Yet, the advent of electrically driven transportation, including cars, trucks and trains, creates potential interdependencies between the two infrastructures that may be both problematic and beneficial. We are developing modelling capability to perform long-term electric and transportation infrastructure design at a national level, accounting for their interdependencies. The approach combines network flow modelling with a multi-objective solution method. We describe and compare it to the state of the art in energy planning models. An example is presented to illustrate important features of this new approach.

Original languageEnglish
Pages (from-to)82-103
Number of pages22
JournalInternational Journal of Critical Infrastructures
Volume12
Issue number1-2
DOIs
Publication statusPublished - 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Energy
  • Infrastructure
  • Investment planning
  • Optimisation
  • Resilience
  • Transportation

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