Campus Units

Electrical and Computer Engineering, Mechanical Engineering, Agricultural and Biosystems Engineering, Chemical and Biological Engineering, Bioeconomy Institute (BEI), Industrial and Manufacturing Systems Engineering, Civil, Construction and Environmental Engineering

Document Type

Conference Proceeding

Conference

2008 IEEE Energy 2030 Conference

Publication Version

Accepted Manuscript

Link to Published Version

https://doi.org/10.1109/ENERGY.2008.4781023

Publication Date

2-10-2009

Journal or Book Title

2008 IEEE Energy 2030 Conference

DOI

10.1109/ENERGY.2008.4781023

Conference Title

2008 IEEE Energy 2030 Conference

Conference Date

November 17-18, 2008

City

Atlanta, GA

Abstract

The most significant energy consuming infrastructures and the greatest contributors to greenhouse gases for any 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 resiliency 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.

Comments

This is a manuscript of a proceeding published as Ibáñez, E., J. McCalley, D. Aliprantis, R. Brown, K. Gkritza, A. Somani, and L. Wang. "National energy and transportation systems: Interdependencies within a long term planning model." In 2008 IEEE Energy 2030 Conference (2008). DOI: 10.1109/ENERGY.2008.4781023. Posted with permission.

Rights

© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright Owner

IEEE

Language

en

File Format

application/pdf

Published Version

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Article Location

 
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