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.
| Original language | English |
|---|---|
| Title of host publication | Sustainable and Resilient Critical Infrastructure Systems |
| Subtitle of host publication | Simulation, Modeling, and Intelligent Engineering |
| Publisher | Springer Berlin Heidelberg |
| Pages | 53-76 |
| Number of pages | 24 |
| ISBN (Print) | 9783642114045 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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