Publications

Results 62001–62100 of 99,299

Search results

Jump to search filters

Transportation Energy Pathways LDRD

Barter, Garrett E.; Edwards, Donna M.; Hines, Valerie A.; Reichmuth, David; Westbrook, Jessica; Malczynski, Leonard A.; Yoshimura, Ann S.; Peterson, Meghan; West, Todd H.; Manley, Dawn K.; Guzman, Katherine D.

This report presents a system dynamics based model of the supply-demand interactions between the US light-duty vehicle (LDV) fleet, its fuels, and the corresponding primary energy sources through the year 2050. An important capability of our model is the ability to conduct parametric analyses. Others have relied upon scenario-based analysis, where one discrete set of values is assigned to the input variables and used to generate one possible realization of the future. While these scenarios can be illustrative of dominant trends and tradeoffs under certain circumstances, changes in input values or assumptions can have a significant impact on results, especially when output metrics are associated with projections far into the future. This type of uncertainty can be addressed by using a parametric study to examine a range of values for the input variables, offering a richer source of data to an analyst.The parametric analysis featured here focuses on a trade space exploration, with emphasis on factors that influence the adoption rates of electric vehicles (EVs), the reduction of GHG emissions, and the reduction of petroleum consumption within the US LDV fleet. The underlying model emphasizes competition between 13 different types of powertrains, including conventional internal combustion engine (ICE) vehicles, flex-fuel vehicles (FFVs), conventional hybrids(HEVs), plug-in hybrids (PHEVs), and battery electric vehicles(BEVs).We find that many factors contribute to the adoption rates of EVs. These include the pace of technological development for the electric powertrain, battery performance, as well as the efficiency improvements in conventional vehicles. Policy initiatives can also have a dramatic impact on the degree of EV adoption. The consumer effective payback period, in particular, can significantly increase the market penetration rates if extended towards the vehicle lifetime.Widespread EV adoption can have noticeable impact on petroleum consumption and greenhouse gas(GHG) emission by the LDV fleet. However, EVs alone cannot drive compliance with the most aggressive GHG emission reduction targets, even as the current electricity source mix shifts away from coal and towards natural gas. Since ICEs will comprise the majority of the LDV fleet for up to forty years, conventional vehicle efficiency improvements have the greatest potential for reductions in LDV GHG emissions over this time.These findings seem robust even if global oil prices rise to two to three times current projections. Thus,investment in improving the internal combustion engine might be the cheapest, lowest risk avenue towards meeting ambitious GHG emission and petroleum consumption reduction targets out to 2050.3 Acknowledgment The authors would like to thank Dr. Andrew Lutz, Dr. Benjamin Wu, Prof. Joan Ogden and Dr. Christopher Yang for their suggestions over the course of this project. This work was funded by the Laboratory Directed Research and Development program at Sandia National Laboratories.

More Details

Leveraging Formal Methods and Fuzzing to Verify Security and Reliability Properties of Large-Scale High-Consequence Systems

Ruthruff, Joseph; Armstrong, Robert C.; Davis, Benjamin G.; Mayo, Jackson R.; Punnoose, Ratish J.

Formal methods describe a class of system analysis techniques that seek to prove specific properties about analyzed designs, or locate flaws compromising those properties. As an analysis capability,these techniques are the subject of increased interest from both internal and external customers of Sandia National Laboratories. Given this lab's other areas of expertise, Sandia is uniquely positioned to advance the state-of-the-art with respect to several research and application areas within formal methods. This research project was a one-year effort funded by Sandia's CyberSecurity S&T Investment Area in its Laboratory Directed Research & Development program to investigate the opportunities for formal methods to impact Sandia's present mission areas, more fully understand the needs of the research community in the area of formal methods and where Sandia can contribute, and clarify from those potential research paths those that would best advance the mission-area interests of Sandia. The accomplishments from this project reinforce the utility of formal methods in Sandia, particularly in areas relevant to Cyber Security, and set the stage for continued Sandia investments to ensure this capabilityis utilized and advanced within this laboratory to serve the national interest.

More Details

Magneto-hydrodynamic detection of vortex shedding for molten salt flow sensing

Kruizenga, Alan M.; Crocker, Robert W.

High temperature flow sensors must be developed for use with molten salts systems at temperatures in excess of 600ÀC. A novel magneto-hydrodynamic sensing approach was investigated. A prototype sensor was developed and tested in an aqueous sodium chloride solution as a surrogate for molten salt. Despite that the electrical conductivity was a factor of three less than molten salts, it was found that the electrical conductivity of an electrolyte was too low to adequately resolve the signal amidst surrounding noise. This sensor concept is expected to work well with any liquid metal application, as the generated magnetic field scales proportionately with electrical conductivity.

More Details

Functionalized ultra-porous titania nanofiber membranes as nuclear waste separation and sequestration scaffolds for nuclear fuels recycle

Schwarz, Haiqing L.

Advanced nuclear fuel cycle concept is interested in reducing separations to a simplified, one-step process if possible. This will benefit from the development of a one-step universal getter and sequestration material so as a simplified, universal waste form was proposed in this project. We have developed a technique combining a modified sol-gel chemistry and electrospinning for producing ultra-porous ceramic nanofiber membranes with controllable diameters and porous structures as the separation/sequestration materials. These ceramic nanofiber materials have been determined to have high porosity, permeability, loading capacity, and stability in extreme conditions. These porous fiber membranes were functionalized with silver nanoparticles and nanocrystal metal organic frameworks (MOFs) to introduce specific sites to capture gas species that are released during spent nuclear fuel reprocessing. Encapsulation into a durable waste form of ceramic composition was also demonstrated.

More Details
Results 62001–62100 of 99,299
Results 62001–62100 of 99,299