Publications

Aamir, Munaf S.; Vargas, Vanessa N.; Warren, Drake E.; Deng, Haoran D.; Downes, Paula S.; Ehlen, Mark E.; Outkin, Alexander V.; Pepple, Mark A.; Smith, Braeton J.; Sun, Amy C.

Abstract not provided.

AIChE Annual Meeting, Conference Proceedings

Downes, Paula S.; Welk, Margaret; Sun, Amy C.; Heinen, Russell

Analysis of chemical supply chains is an inherently complex task, given the dependence of these supply chains on multiple infrastructure systems (e.g. transportation and energy). This effort requires data and information at various levels of resolution, ranging from network-level distribution systems to individual chemical reactions. The U.S. Department of Homeland Security (DHS) has tasked the National Infrastructure Simulation and Analysis Center (NISAC) with developing a chemical infrastructure analytical capability to assess interdependencies and complexities of the nation's critical infrastructure, including the chemical sector. To address this need, the Sandia National Laboratories (Sandia)1 component of NISAC has integrated its existing simulation and infrastructure analysis capabilities with various chemical industry datasets to create a capability to analyze and estimate the supply chain and economic impacts resulting from large-scale disruptions to the chemical sector. This development effort is ongoing and is currently being funded by the DHS's Science and Technology Directorate. This paper describes the methodology being used to create the capability and the types of data necessary to exercise the capability, and it presents an example analysis focusing on the ethylene portion of the chemical supply chain.

AIChE Annual Meeting, Conference Proceedings

Welk, Margaret E.; Sun, Amy C.; Downes, Paula S.

Chlorinated hydrocarbons represent the precursors for products ranging from polyvinyl chloride (PVC) and refrigerants to pharmaceuticals. Natural or manmade disruptions that affect the availability of these products nationally have the potential to affect a wide range of markets, from healthcare to construction. Analysis of chemical supply chains is an inherently complex task, given the dependence of these supply chains on multiple infrastructure systems (e.g. transportation and energy). This effort requires data and information at various levels of resolution, ranging from network-level distribution systems to individual chemical reactions. The U.S. Department of Homeland Security (DHS) has tasked the National Infrastructure Simulation and Analysis Center (NISAC) with developing a chemical infrastructure analytical capability to assess interdependencies and complexities of the nation's critical infrastructure, including the chemical sector. To address this need, the Sandia National Laboratories (Sandia) component of NISAC has integrated its existing simulation and infrastructure analysis capabilities with various chemical industry datasets to create a capability to analyze and estimate the supply chain economic impacts resulting from large-scale disruptions to the chemical sector. This development effort is ongoing and is currently being funded by the DHS's Science and Technology Directorate. This paper describes the methodology being used to create the capability and the types of data necessary to exercise the capability, and it presents an example analysis focusing on the chlorinated hydrocarbon portion of the chemical supply chain.

Downes, Paula S.; Ehlen, Mark E.; Mackey, Greg

Abstract not provided.

Ehlen, Mark E.; Smith, Braeton J.; Warren, Drake E.; Downes, Paula S.; Eidson, Eric D.; Mackey, Greg

This report gives an overview of the types of economic methodologies and models used by Sandia economists in their consequence analysis work for the National Infrastructure Simulation & Analysis Center and other DHS programs. It describes the three primary resolutions at which analysis is conducted (microeconomic, mesoeconomic, and macroeconomic), the tools used at these three levels (from data analysis to internally developed and publicly available tools), and how they are used individually and in concert with each other and other infrastructure tools.

Downes, Paula S.; Shirah, Donald N.; Aamir, Munaf S.

Abstract not provided.

Mackey, Greg; Ehlen, Mark E.; Downes, Paula S.

Abstract not provided.

Downes, Paula S.

Abstract not provided.

Ehlen, Mark E.; Downes, Paula S.

Abstract not provided.

Downes, Paula S.

Abstract not provided.

Downes, Paula S.; Scholand, Andrew J.

Abstract not provided.

Downes, Paula S.; Scholand, Andrew J.

Abstract not provided.