Energy and Climate

NISAC

Upcoming Publication on Recovery Strategies for Damaged Transportation Networks

The International Journal of Critical Infrastructures accepted “Optimal recovery sequencing for enhanced resilience and service restoration in transportation networks” for publication. The paper, co-authored by Eric Vugrin (in Sandia’s Resilience and Regulatory Effects Dept.), Mark Turnquist (Cornell University), and Nathanael Brown (Operations Research and Knowledge Management Systems Dept.), describes a model that can be used […]

Motivating Business to Design a More Resilient Nation, One Building at a Time

Imagine a building resilient enough to allow people to continue their daily tasks even while an emergency is in progress. The self-­reliant building might have its own small electrical generating system to maintain lights, computers, and mobile communications during a power outage, compartmentalized clusters of rooms to prevent water damage in one sector from affecting […]

Sandia and Los Alamos Teams Gear Up for Hurricane Season

The Department of Homeland Security’s National Infrastructure Simulation and Analysis Center (NISAC), jointly housed at Sandia and Los Alamos national laboratories, studies how hurricanes and other disasters disrupt critical infrastructure, such as roads, electricity, and water systems. With the onset of hurricane season, NISAC has two jobs: conducting annual “hurricane swath” analyses of probable impacts […]

Sandia’s Work with Texas Southern University Cited by Representative Sheila Jackson Lee

Sandia was mentioned in a letter by Representative Sheila Jackson Lee (D-TX) for outstanding work with Texas Southern University (TSU). Through the National Infrastructure Simulation and Analysis Center (NISAC) program, Sandia has partnered with TSU’s National Transportation Center of Excellence, to complete analyses of the petrochemical supply chain and related analyses of the impact of […]

Estimating Device or System Probability of Failure

POF Darts is a new algorithm for the QMU problem of estimating device or system probability of failure (POF), e.g., of critical infrastructures in the face of a potentially disruptive event. POF Darts wraps around a computational simulation of a device, evaluating it at particular parameter values, such as uncertain environmental conditions and varying as-manufactured […]

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