Advanced Watrer Power Technologies Program
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This paper reports the methodology for calculating present worth of system and operating costs for a number of energy storage technologies for representative electric utility applications. The values are an update from earlier reports, categorized by application use parameters. This work presents an update of energy storage system costs assessed previously and separately by the U.S. Department of Energy (DOE) Energy Storage Systems Program. The primary objective of the series of studies has been to express electricity storage benefits and costs using consistent assumptions, so that helpful benefit/cost comparisons can be made. Costs of energy storage systems depend not only on the type of technology, but also on the planned operation and especially the hours of storage needed. Calculating the present worth of life-cycle costs makes it possible to compare benefit values estimated on the same basis.
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Node-based architecture (NBA) designs for future satellite projects hold the promise of decreasing system development time and costs, size, weight, and power and positioning the laboratory to address other emerging mission opportunities quickly. Reconfigurable field programmable gate array (FPGA)-based modules will comprise the core of several of the NBA nodes. Microprocessing capabilities will be necessary with varying degrees of mission-specific performance requirements on these nodes. To enable the flexibility of these reconfigurable nodes, it is advantageous to incorporate the microprocessor into the FPGA itself, either as a hard-core processor built into the FPGA or as a soft-core processor built out of FPGA elements. This document describes the evaluation of three reconfigurable FPGA-based soft-core processors for use in future NBA systems: the MicroBlaze (uB), the open-source Leon3, and the licensed Leon3. Two standard performance benchmark applications were developed for each processor. The first, Dhrystone, is a fixed-point operation metric. The second, Whetstone, is a floating-point operation metric. Several trials were run at varying code locations, loop counts, processor speeds, and cache configurations. FPGA resource utilization was recorded for each configuration.
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Journal of Fluid Mechanics
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Nature Letters
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Survival
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Journal of Microscopy
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Journal of Materials Chemistry
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Journal of Materials Chemistry
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IEEE Transactions on Nuclear Science
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Fast-curing impression materials are sometimes used to cast negative-mold replications of physical defects on material surfaces. The negative-mold impressions can then be used for further measurements to record the nature of the defect. These impression materials have been designed to cure quickly, and with very low adhesion, so that they can be easily removed from the surface leaving little residual contamination. Unfortunately, some contaminant is retained by the substrate material. This investigation seeks to identify the composition and quantity of the remaining material upon removal of Microset Synthetic Rubber Replicating Compound from several material surfaces. Coe-Flex was used as a relative comparison to Microset. On fifteen different substrate materials the Microset leaves no visible trace of contaminant, however, X-ray photoelectron spectroscopy shows evidence of a thin silicone-based contaminant film of approximately 2 nm thickness.
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Sensors
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Journal of Machine Learning Research
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Colloids and Surfaces A: Physicochemical and Engineering Aspects
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Optik&Photonik
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Journal of Statistical Physics
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J. Climate
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Physical Review B
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Particle-In-Cell (PIC) is a method for plasmas simulation. Particles are pushed with Verlet time integration. Fields are modeled using finite differences on a tensor product mesh (cells). The Unstructured PIC methods studied here use instead finite element discretizations on unstructured (simplicial) meshes. PIC is constrained by stability limits (upper bounds) on mesh and time step sizes. Numerical evidence (2D) and analysis will be presented showing that similar bounds constrain unstructured PIC.
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This paper reports the results of a high-level study to assess the technological readiness and technical and economic feasibility of 17 novel bulk energy storage technologies. The novel technologies assessed were variations of either pumped storage hydropower (PSH) or compressed air energy storage (CAES). The report also identifies major technological gaps and barriers to the commercialization of each technology. Recommendations as to where future R&D efforts for the various technologies are also provided based on each technology's technological readiness and the expected time to commercialization (short, medium, or long term). The U.S. Department of Energy (DOE) commissioned this assessment of novel concepts in large-scale energy storage to aid in future program planning of its Energy Storage Program. The intent of the study is to determine if any new but still unproven bulk energy storage concepts merit government support to investigate their technical and economic feasibility or to speed their commercialization. The study focuses on compressed air energy storage (CAES) and pumped storage hydropower (PSH). It identifies relevant applications for bulk storage, defines the associated technical requirements, characterizes and assesses the feasibility of the proposed new concepts to address these requirements, identifies gaps and barriers, and recommends the type of government support and research and development (R&D) needed to accelerate the commercialization of these technologies.
Physical Review Letters
We perform molecular dynamics simulations of coarse-grained ionomer melts with two different architectures. Regularly spaced charged beads are placed either in the polymer backbone (ionenes) or pendant to it. The ionic aggregate structure is quantified as a function of the dielectric constant. The low wave vector ionomer scattering peak is present in all cases, but is significantly more intense for pendant ions, which form compact, discrete aggregates with liquidlike interaggregate order. This is in qualitative contrast to the ionenes, which form extended aggregates. © 2011 American Physical Society.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
As computational science applications grow more parallel with multi-core supercomputers having hundreds of thousands of computational cores, it will become increasingly difficult for solvers to scale. Our approach is to use hybrid MPI/threaded numerical algorithms to solve these systems in order to reduce the number of MPI tasks and increase the parallel efficiency of the algorithm. However, we need efficient threaded numerical kernels to run on the multi-core nodes in order to achieve good parallel efficiency. In this paper, we focus on improving the performance of a multithreaded triangular solver, an important kernel for preconditioning. We analyze three factors that affect the parallel performance of this threaded kernel and obtain good scalability on the multi-core nodes for a range of matrix sizes. © 2011 Springer-Verlag Berlin Heidelberg.
Scripta Materialia
Single arm spiral sources, or truncated Frank-Read sources, have been used frequently to interpret the size dependent plasticity in micropillars. The basis for these sources is strong pinning points which have been proposed to exist based on immobile Lomer-Cottrell jogs. Here, we show, using molecular dynamics of face-centered cubic nanopillars, that Lomer-Cottrell jogs are not as immobile as initially thought and that they do not provide strong pinning points for single arm sources. © 2010 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
MRS Bulletin
The development of new materials typically requires an iterative sequence of synthesis and characterization, but high-performance computing (HPC) adds another dimension to the process: materials can be synthesized and/or characterized virtually as well, and it is often an overlapping quilt of data from these four aspects of design that is used to develop a new material. This is made possible, in large measure, by the algorithms and hardware collectively referred to as HPC. Prominent within this developing approach to materials design is the increasingly important role that quantum mechanical analysis techniques have come to play. These techniques are reviewed with an emphasis on their application to materials design. This issue of MRS Bulletin highlights specific examples of how such HPC tools are used to advance energy science research in the areas of nuclear fission, electrochemical batteries, photovoltaic energy conversion, hydrocarbon catalysis, hydrogen storage, clathrate hydrates, and nuclear fusion. © 2011 Materials Research Society.
Review of Scientific Instruments
An experimental apparatus has been developed to determine thermal accommodation coefficients for a variety of gas-surface combinations. Results are obtained primarily through measurement of the pressure dependence of the conductive heat flux between parallel plates separated by a gas-filled gap. Measured heat-flux data are used in a formula based on Direct Simulation Monte Carlo (DSMC) simulations to determine the coefficients. The assembly also features a complementary capability for measuring the variation in gas density between the plates using electron-beam fluorescence. Surface materials examined include 304 stainless steel, gold, aluminum, platinum, silicon, silicon nitride, and polysilicon. Effects of gas composition, surface roughness, and surface contamination have been investigated with this system; the behavior of gas mixtures has also been explored. Without special cleaning procedures, thermal accommodation coefficients for most materials and surface finishes were determined to be near 0.95, 0.85, and 0.45 for argon, nitrogen, and helium, respectively. Surface cleaning by in situ argon-plasma treatment reduced coefficient values by up to 0.10 for helium and by ∼0.05 for nitrogen and argon. Results for both single-species and gas-mixture experiments compare favorably to DSMC simulations. © 2011 American Institute of Physics.
American Journal of Science
A tenet of geomicrobiology is that anaerobic life in the subsurface arranges itself into zones, according to a thermodynamic ladder. Iron reducers, given access to ferric minerals, use their energetic advantage to preclude sulfate reduction. Sulfate reducers exclude methanogens in the same way, by this tenet, wherever the environment provides sulfate. Examining usable energy-the energy in excess of a cell's internal stores-in subsurface environments, we find that in groundwater of near neutral pH the three functional groups see roughly equivalent amounts. Iron reducers hold a clear energetic advantage under acidic conditions, but may be unable to grow in alkaline environments. The calculations fail to identify a fixed thermodynamic hierarchy among the groups. In long-term bioreactor experiments, usable energy did not govern microbial activity. Iron reducers and sulfate reducers, instead of competing for energy, entered into a tightly balanced mutualistic relationship. Results of the study show thermodynamics does not invariably favor iron reducers relative to sulfate reducers, which in turn do not necessarily have an energetic advantage over methanogens. The distribution of microbial life in the subsurface is controlled by ecologic and physiologic factors, and cannot be understood in terms of thermodynamics alone.
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Journal Physical Chemistry B
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IEEE Photonics Journal
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Physical Review B
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Games and Economic Behavior
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JACS
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Nano Today
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American Welding Society
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Physical Review Letters
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Applied Physics Letters
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Applied Physics Letters
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This paper compares measurements made by Raman and infrared thermometry on a SOI (silicon on insulator) bent-beam thermal microactuator. Both techniques are noncontact and used to experimentally measure temperatures along the legs and on the shuttle of the thermal microactuators. Raman thermometry offers micron spatial resolution and measurement uncertainties of {+-}10 K; however, typical data collection times are a minute per location leading to measurement times on the order of hours for a complete temperature profile. Infrared thermometry obtains a full-field measurement so the data collection time is much shorter; however, the spatial resolution is lower and calibrating the system for quantitative measurements is challenging. By obtaining thermal profiles on the same SOI thermal microactuator, the relative strengths and weaknesses of the two techniques are assessed.
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Journal of Physical Chemistry Letters
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