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Resilience and robustness in long-term planning of the national energy and transportation system
- Source :
- International Journal of Critical Infrastructures. 12:82
- Publication Year :
- 2016
- Publisher :
- Inderscience Publishers, 2016.
-
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.
- Subjects :
- Truck
Transportation planning
Engineering
business.industry
020209 energy
02 engineering and technology
Energy consumption
Energy planning
Flow network
Transport engineering
General Energy
Sustainable transport
Risk analysis (engineering)
Sustainability
0202 electrical engineering, electronic engineering, information engineering
Train
Safety, Risk, Reliability and Quality
business
General Environmental Science
Subjects
Details
- ISSN :
- 17418038 and 14753219
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- International Journal of Critical Infrastructures
- Accession number :
- edsair.doi...........ca07c4983025e3c86d7a1736b29a301e
- Full Text :
- https://doi.org/10.1504/ijcis.2016.075869