State renewables portfolio standards (RPS) have emerged as one of the most important policy drivers of renewable energy capacity expansion in the U.S. Collectively, these policies now apply to almost 40% of U.S. electricity load, and may have substantial impacts on electricity markets,...

It is clear from numerous energy/economic modeling exercises that addressing the challenges posed by global climate change will eventually require the active participation of all industrial sectors and all consumers on the planet. Yet, these and similar modeling exercises indicate that large...

State renewables portfolio standards (RPS) have emerged as one of the most important policy drivers of renewable energy capacity expansion in the U.S. Collectively, these policies now apply to roughly 40% of U.S. electricity load, and may have substantial impacts on electricity markets,...

In 1989 the US Department of Transportation (DOT), Federal Emergency Management Agency (FEMA), and US Environmental Protection Agency (EPA) released a set of models for analysis of chemical hazards on personal computers. The models, known collectively as ARCHIE (Automated Resource for Chemical...

The area investigated by this project is cyber attack prediction. With a focus on correlation-based prediction, current attack prediction methodologies overlook the strategic nature of cyber attack-defense scenarios. As a result, current cyber attack prediction methodologies are very limited in...

A nuclear weapons accident is an extremely unlikely event due to the extensive care taken in operations. However, under some hypothetical accident conditions, plutonium might be dispersed to the environment. This would result in costs being incurred by the government to remediate the site and...

Human and earth systems are extremely complex processes. The modeling of these systems to assess the effects of climate change is an activity fraught with uncertainty. System models typically involve the linking of a series of computer codes, each of which is a detailed model of some physical or...

Selecting the model is an important and essential step in model based fault detection and diagnosis (FDD). Factors that are considered in evaluating a model include accuracy, training data requirements, calibration effort, generality, and computational requirements. The objective of this study...

Abstract: The NRC SPAR models currently employ the alpha factor common cause failure (CCF) methodology and model CCF for a group of redundant components as a single “rolled-up” basic event. These SPAR models will be updated to employ a more computationally intensive and accurate approach by...

In order to examine the feasibility of an intercity freight pipeline, it was necessary to develop cost equations for various competing transportation modes. This volume presents cost-estimating equations for rail carload, trailer-on-flatcar, truck, and freight pipeline. Section A presents...