The imaging techniques enable the possibility of higher-level quality control and defect analysis of solar cell materials in in-line production processes.

NREL and NASA developed a thermal-electrical model that resolves PTC and cell behavior under external shorting, now being used to evaluate safety margins of battery packs for spacesuit applications.

Presentation covers diesel exhaust fluid resources on the Alternative Fuels and Advanced Vehicles Data Center.

Study of PV module encapsulation materials, processing, and testing shows that overall module reliability is determined by all component materials and processing factors.

Study of stability issues of TCOs for thin-film PV, including degradation of optical, electrical, and structural properties of TCOs in damp heat and required encapsulation to prevent moisture egress.

Record efficiencies with triple-junction inverted metamorphic designs, modeling useful to optimize, and consider operating conditions before choosing design.

The second generation Λ hypernuclear spectroscopy by (e,e’K{sup +}) reaction has been carried out successfully at JLab in 2005. New configurations, HKS and Tilt method, significantly improved both energy resolution and statistics. Systematic error depend on tuning procedure was estimated by the blind analysis. Analysis is in the final stage. Third generation experiment (JLab E05-115) will be performed in the summer of 2009 w/ new e’ spectrometer (HES).

This presentation introduces the spin structure functions and resonant spin structure, and it discusses the experimental approaches for studying spin structure via polarized electron beam interactions with frozen polarized proton and deuteron targets.

To help design safe, high-performing batteries, NREL and NASA created and verified a new multicell math model capturing electrical-thermal interactions of cells with PTC devices during thermal abuse.

Presentation on the Fuel Cell Vehicle and Infrastructure Learning Demonstration project prepared for the 215th Electrochemical Society Meeting.

Presentation explains the Alternative Compliance option under the U.S. Department of Energy's State and Alternative Fuel Provider program.

The developed model used is to provide a better understanding and help answer engineering questions about improving the design, operational strategy, management, and safety of cells.

Describes NREL's work on next-generation vehicle cooling technologies (jets, sprays, microchannels) and novel packaging topologies to reduce costs and increase performance and reliability.

Describes NREL's R&D to develop a multi-scale model to assist in designing better, more reliable lithium-ion battery cells for advanced vehicles.

December 2008 DOE Algal Biofuels Technology Roadmap Workshop plenary presentation: summarizes past and current algal biofuels activity, status of research funding, and recent roadmapping activities.

Presentation explains the connections between Clean Cities and the Federal Fleet programs.

The overview of changes in protein levels or states in response to a growth condition, stress, mutation or metabolic engineering is invaluable in understanding the physiology of a microbial system. The lipid profile of the cell is similarly a valuable diagnostic of the cellular response and health, especially in context of survival in a fluctuating environment. To obtain comprehensive cellular models, post-transcriptional cell wide surveys at the levels of proteins and lipids are required. Both these fields have been greatly bolstered by the development of high throughput methods using mass spectrometry. Multiple strategies now exist for the identification of proteins, and numerous workflows to quantify protein abundance have also been developed. Cellular profiling such as these allows us to assess the potential of a microbial system for environmental applications such as bioremediation and bio-energy.

The area of transcriptomics analysis is among the more established in computational biology, having evolved in both technology and experimental design. Transcriptomics has a strong impetus to develop sophisticated computational methods due to the large amounts of available whole-genome datasets for many species and because of powerful applications in regulatory network reconstruction as well as elucidation and modeling of cellular transcriptional responses. While gene expression microarray data can be noisy and comparisons across experiments challenging, there are a number of sophisticated methods that aid in arriving at statistically and biologically significant conclusions. As such, computational transcriptomics analysis can provide guidance for analysis of results from newer experimental technologies. More recently, search methods have been developed to identify modules of genes, which exhibit coherent expression patterns in only a subset of experimental conditions. The latest advances in these methods allow to integrate multiple data types anddatasets, both experimental and computational, within a single statistical framework accounting for data confidence and relevance to specific biological questions. Such frameworks provide a unified environment for the exploration of specific biological hypothesis and for the discovery of coherent data patterns along with the evidence supporting them.

The long-term performance data of copper indium diselenide (CIS) and gallium-alloyed CIS (CIGS) photovoltaic (PV) modules are investigated to assess the reliability of this technology.

Presentation covers new content available on the Alternative Fuels and Advanced Vehicle Data Center regarding diesel vehicles, diesel exhaust fluid, and selective catalytic reduction technologies.

The objectives of this paper are: (1) identify thermal issues of ultracapacitor cells and modules over a range of vehicle duty cycles to understand and minimize thermal impacts; and (2) identify improvements for ultracapacitor thermal management.

Legislation supporting U.S. biofuels production can help to reduce petroleum consumption and increase the nation's energy security.

None

This presentation describes the methods used to analyze the potential for provided 20% of our nation's electricity demand with wind energy by 2030