Energy Security for Industrial and Military Installations: Emergent Conditions that Influence the Strategic Selection of Technologies

  • James H. Lambert
  • Christopher W. Karvetski
  • Renae D. Ditmer
  • Tarek Abdallah
  • Melanie D. Johnson
  • Igor Linkov
Conference paper
Part of the NATO Science for Peace and Security Series C: Environmental Security book series (NAPSC)

Abstract

We describe recent efforts integrating scenario analysis with multiple criteria decision analysis in support of strategic planning for the energy security of industrial and military installations. Energy security is an increasingly important issue for industrial and military installations. Disruptions of the grid and other outages for key buildings, facilities, and entire installations jeopardize critical activities and missions. Cost and supply volatilities of traditional energy sources and backup technologies increase the need for innovation in meeting energy demands. Part of such demands should be met with renewable energy sources. Each of the hundreds of installations of a large industrial or military organization presents a unique challenge in the attainment of energy security goals. This Chapter describes a framework to highlight what science, engineering, and other conditions most influence the planning of strategic investments in innovation for energy security. The framework aims to avoid surprises that could result from a failure to account systematically for the emergent conditions that affect industrial and military installations, including emergent conditions of regulation, technologies, economics, geopolitics, environment, and other topics. Science, engineering, and other investigative resources can be focused on the future conditions that most matter to the selection of technologies and their operations plans.

Keywords

Emergent Condition Energy Security Scenario Planning Multiple Criterion Decision Analysis Military Organization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • James H. Lambert
    • 1
  • Christopher W. Karvetski
    • 1
  • Renae D. Ditmer
    • 2
  • Tarek Abdallah
    • 3
  • Melanie D. Johnson
    • 3
  • Igor Linkov
    • 3
  1. 1.Center for Risk Management of Engineering SystemsUniversity of VirginiaCharlottesvilleUSA
  2. 2.Stratcon, LLCWoodbridgeUSA
  3. 3.Engineer Research and Development Center (ERDC)US Army Corps of EngineersVicksburgUSA

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