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Conference Proceeding

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The US military has spent billions of dollars and sacrificed many lives in the effort to bring electrical power services and the fuel that drives the generators to forward-deployed bases in Afghanistan and Iraq over the past 10 years. In an effort to reduce some of these tremendous costs, the US military has considered using alternative energy sources to generate electricity and reduce costs and exposure of fuel truck convoys. While some research [10] has used detailed software packages to model the electrical demand and renewable energy production tradeoffs in this environment, the impact of operational constraints is not readily apparent. The Green Energy Linear Program for Optimizing Deployments (GELPOD) is a proof-of-concept model that uses a linear program to optimize the combat deployment of energy generation systems while taking into account operational constraints of the mission. Results show a reduction in both cost and casualties for renewable energy sources that is highly dependent on fuel cost and deployment length. In the near term, energy demand reduction has potential for payoffs in both cost and casualty reduction.


Published in The Proceedings of Defense and Military Modeling and Simulation Symposium (DMMS)

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Mathematics Commons