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

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2016-01-01
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Ibanez, Eduardo
Lavrenz, Steven
Gkritza, Konstantina
Mejía, Diego
Krishnan, Venkat
McCalley, James
Somani, Arun
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Electrical and Computer Engineering
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 modeling capability to perform long-term electric and transportation infrastructure design at a national level, accounting for their interdependencies. The approach combines network flow modeling with a multiobjective 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.

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This is a manuscript of an article published as Ibanez, Eduardo, Steven Lavrenz, Konstantina Gkritza, Diego A. Mejia-Giraldo, Venkat Krishnan, James D. McCalley, and Arun K. Somani. "Resilience and robustness in long-term planning of the national energy and transportation system." International Journal of Critical Infrastructures 12, no. 1-2 (2016): 82-103. DOI: 10.1504/IJCIS.2016.075869. Posted with permission.

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Fri Jan 01 00:00:00 UTC 2016
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