This report was prepared at the request of the US Department of Energy`s Office of Energy Management for an objective comparison of the merits of battery energy storage with superconducting magnetic energy storage technology for utility applications. Conclusions are drawn regarding the best match of each technology with these utility application requirements. Staff from the Utility Battery Storage Systems Program and the superconductivity Programs at Sandia National contributed to this effort.
This report summarizes the effort to quantify the electromagnetic environments in the nuclear explosive areas at Pantex due to direct lightning. The fundamental measure of the threat to nuclear safety is assumed to be the maximum voltage between any two points in an assembly area, which is then available for producing arcing or for driving current into critical subsystems of a nuclear weapon. This maximum voltage has been computed with simple analytical models and with three-dimensional finite-difference computer codes.
The expert panel identified basic principles to guide current and future marker development efforts: (1) the site must be marked, (2) message(s) must be truthful and informative, (3) multiple components within a marker system, (4) multiple means of communication (e.g., language, pictographs, scientific diagrams), (5) multiple levels of complexity within individual messages on individual marker system elements, (6) use of materials with little recycle value, and (7) international effort to maintain knowledge of the locations and contents of nuclear waste repositories. The efficacy of the markers in deterring inadvertent human intrusion was estimated to decrease with time, with the probability function varying with the mode of intrusion (who is intruding and for what purpose) and the level of technological development of the society. The development of a permanent, passive marker system capable of surviving and remaining interpretable for 10,000 years will require further study prior to implementation.
The EXPO was organized to increase communication between US industry and DOE`s national laboratories. The report contains copies of viewgraphs of all speakers and reports of workshops designed to identify priority needs of industry. A conference synopsis and set of recommendations to DOE are also included.
Research in recent years has demonstrated the efficient use of solar thermal energy for driving endothermic chemical reforming reactions in which hydrocarbons are reacted to form synthesis gas (syngas). Closed-loop reforming/methanation systems can be used for storage and transport of process heat and for short-term storage for peaking power generation. Open-loop systems can be used for direct fuel production; for production of syngas feedstock for further processing to specialty chemicals and plastics and bulk ammonia, hydrogen, and liquid fuels; and directly for industrial processes such as iron ore reduction. In addition, reforming of organic chemical wastes and hazardous materials can be accomplished using the high-efficiency destruction capabilities of steam reforming. To help identify the most promising areas for future development of this technology, we discuss in this paper the economics and market potential of these applications.
All of American industry is being subjected to increased competitive pressures due to customer needs for shorter cycle times and better quality. The investment casting industry could be in a unique position to satisfy these needs by incorporating several emerging technologies into production processes. The inherent versatility and flexibility of casting make it a truly agile manufacturing process. Because of its compatibility with new rapid prototyping technologies, investment casting could be one of the key vehicles in the new ``art to part`` paradigm. Recently, dramatic advances have been made in the quality of wax and plastic patterns, parts, and tooling by investment casting on time scales unheard of today. Because design and acquisition of tooling contributes heavily to the lead time for any market, these advances will strengthen the position of investment casting manufacturers and customers, and create opportunities in traditional and non-tradition markets. Key to achieving this goal is to use the technology to remove uncertainties from investment casting process. To do this, we must collectively build the infrastructure to enable investment casting companies to make parts right the first time, every time. Integration of mature and on-the-horizon technologies will make this revolution possible and create large growth in markets for investment castings.
The National Center for Advanced Information Components Manufacturing (NCAICM) was established by congressional appropriation in the FY93 Defense Appropriation Bill. The Center, located at Sandia National Laboratories in Albuquerque, NM, is funded through the Advanced Research Projects Agency (ARPA). The technical focus of NCAICM is emissive flat panel displays and associated microelectronics, specifically targeting manufacturing issues such as materials, processes, equipment, and software tools. This Center is a new avenue of collaboration between ARPA and the Department of Energy (DOE). It will help the government meet its obligation to develop dual-use capabilities for the defense and civilian sectors of the economy and provide a new method for cooperation and collaboration between the federal government and American industry. In particular, one of NCAICM`s goals is to provide industry access to the broad resource base available at three DOE Defense Programs laboratories -- Sandia National Laboratories, Los Alamos National Laboratory, and Lawrence Livermore National Laboratory.
The use of multi-source power systems, ``hybrids,`` is one of the fastest growing, potentially significant markets for photovoltaic (PV) system technology today. Cost-effective applications today include remote facility power, remote area power supplies, remote home and village power, and power for dedicated electrical loads such as communications systems. This market sector is anticipated to be one of the most important growth opportunities for PV over the next five years. The US Department of Energy (USDOE) and Sandia National Laboratories (SNL) are currently engaged in an effort to accelerate the adoption of market-driven PV hybrid power systems and to effectively integrate PV with other energy sources. This paper provides details of this development and the ongoing hybrid activities in the United States. Hybrid systems are the primary focus of this paper.
Infrared (IR) reflection spectroscopy has been shown to be useful for making rapid and nondestructive quantitative determinations of B and P contents and film thickness for borophosphosilicate glass (BPSG) thin films on silicon monitor wafers. Preliminary data also show that similarly precise determinations can be made for BPSG films on device wafers.
A low pressure chemical vapor deposition (LPCVD) process for depositing W{sub X}B{sub (1-X)} films from WF{sub 6} and B{sub 2}H{sub 6} is described. The depositions were performed in a cold wall reactor on 6 in. Si wafers at 400C. During deposition, pressure was maintained at a fixed level in the range of 200 to 260 mTorr. Ratio of WF{sub 6}/B{sub 2}H{sub 6} was varied from 0.05 to 1.07. Carrier gas was either 100 sccm of Ar with a gas flow of 308 to 591 sccm, or 2000 sccm of Ar and 2000 sccm of H{sub 2} with the overall gas flow from 4213 to 4452 sccm. Two stable deposition regions were found separated by an unstable region that produced non-uniform films. The B-rich films produced in one of the stable deposition regions had W concentrations of 30 at.% and resistivities between 200 and 300 {mu}ohm{center_dot}cm. The W-rich films produced in the other stable deposition region had W concentrations of 80 at.% and resistivities of 100 {mu}ohm{center_dot}cm. As-deposited films had densities similar to bulk material of similar stoichiometry. Barrier properties of the films against diffusion of Cu to 700C in vacuum were measured by 4-point probe. Also, annealing was carried out to 900C in order to determine phases formed as the films crystallize. These studies indicate that W{sub X}B{sub (1-X)} films may be useful barriers in ULSI metallization applications.
A relatively high-speed I{sub DDQ} measurement circuit called QuiC-Mon is described. Depending upon IC settling times, upper measurement rates range from 50 kHz to 250 kHz at 100 nA resolution. It provides an inexpensive solution for fast, sensitive I{sub DDQ} measurements in CMOS IC wafer probe or packaged part production testing.
Sandia National Laboratories operates the Primary Standards Laboratory for the Department of Energy, Albuquerque Operations Office (DOE/AL). This report summarizes metrology activities that received emphasis in the first half of 1993 and provides information pertinent to the operation of the DOE/AL system-wide Standards and Calibration Program.
Sandia`s mission to explore technology that enhances US nuclear weapons capabilities has been the primary impetus for the development of a class of inertial measurement units not available commercially. The newest member of the family is the Ring Laser Gyro Assembly. The product of a five-year joint effort by Sandia and Honeywell`s Space and Strategic Systems Operation, the RLGA is a small, one-nautical-mile-per-hour-class inertial measurement unit that consumes only 16 watts - attributes that are important to a guidance and control capability for new or existing weapons. These same attributes led the Central Inertial Guidance Test Facility at Holloman Air Force Base to select the RLGA for their newest test instrumentation pod. The RLGA sensor assembly is composed of three Honeywell ring laser gyroscopes and three Sundstrand Data Control accelerometers that are selected from three types according to the user`s acceleration range and accuracy needs.
The magnetic and structural phase diagrams of the La{sub 2}CuO{sub 4+{delta}} system and the La{sub 2-x}Sr{sub x}CuO{sub 4+{delta}} are reviewed, with emphasis on recent results obtained from magnetic and structural neutron diffraction, thermogravimetric analysis, iodometric titration, magnetic susceptibility {chi}(T), and {sup 129}La nuclear quadrupole resonance (NQR) measurements.
The objectives of this program are (1) to use and refine a basinal analysis methodology for natural fracture exploration and exploitation, and (2) to determine the important characteritics of natural fracture systems for their use in completion, stimulation and production operations. Continuing work on this project has demonstrated that natural fracture systems and their flow characteristics can be defined by a thorough study of well and outcrop data within a basin. Outcrop data provides key information on fracture sets and lithologic controls, but some fracture sets found in the outcrop may not exist at depth. Well log and core data provide the important reservoir information to obtain the correct synthesis of the fracture data. In situ stress information is then linked with the natural fracture studies to define permeability anisotropy and stimulation effectiveness. All of these elements require field data, and in the cases of logs, core, and well test data, the cooperation of an operator.
The authors employ NMR and NQR spectroscopy as probes of local structure and charge environments in metallic La{sub 2}CuO{sub 4+{delta}} ({Tc} = 38 K). They discuss the effect of annealing the sample at various temperatures T{sub a} ({Tc} < T{sub a} < 300K) on the superconducting {Tc}. The dependence of {Tc} on annealing indicates that annealing allows the development of structural order which is important for {Tc}. The {sup 139}La quadrupole frequency, {nu}{sub Q} is smaller than in undoped materials. This is unexpected and may indicate a smaller charge on the apex oxygen in the doped material and thus a different distribution of charge between the La-O layer to the planes. The further, rapid decrease in {nu}{sub Q} just above {Tc} indicates that temperature dependent charge redistribution is occurring. The presence of doped holes induces a distribution of displacements of the apex oxygen off of the vertical La-Cu bond axis. These vary from zero to the value observed in lightly doped (antiferromagnetic) La{sub 2}CuO{sub 4+{delta}}. These measurements demonstrate a striking degree of inhomogeneity in the crystal structure of the La-O layer. Copper NQR spectroscopy shows that there are two distinct copper sites in the CuO{sub 2} planes and thus that either the structure or the charge distribution in the planes is inhomogeneous as well. These inhomogeneities are the intrinsic response of the crystal to doped holes; they are not the result of distortions of the lattice due to the presence of interstitial oxygen atoms.
Programs to develop solid core nuclear thermal propulsion (NTP) systems have been under way at the Department of Defense (DoD), the National Aeronautics and Space Administration (NASA), and the Department of Energy (DOE). These programs have recognized the need for a new ground test facility to support development of NTP systems. However, the different military and civilian applications have led to different ground test facility requirements. The Department of Energy (DOE) in its role as landlord and operator of the proposed research reactor test facilities has initiated an effort to explore opportunities for a common ground test facility to meet both DoD and NASA needs. The baseline design and operating limits of the proposed DoD NTP ground test facility are described. The NASA ground test facility requirements are reviewed and their potential impact on the DoD facility baseline is discussed.
In this note the authors describe the results of some tests of the message-passing performance of the Intel Paragon. These tests have been carried out under both the Intel-supplied OSF/1 operating system with an NX library, and also under an operating system called SUNMOS (Sandia UNM Operating System). For comparison with the previous generation of Intel machines, they have also included the results on the Intel Touchstone Delta. The source code used for these tests is identical for all systems. As a result of these tests, the authors can conclude that SUNMOS demonstrates that the Intel Paragon hardware is capable of very high bandwidth communication, and that the message coprocessor on Paragon nodes can be used to give quite respectable latencies. Further tuning can be expected to yield even better performance.
This paper briefly describes an ongoing project designed to assess the uncertainty in offsite radiological consequence calculations of hypothetical accidents in commercial nuclear power plants. This project is supported jointly by the Commission of European Communities (CEC) and the US Nuclear Regulatory Commission (USNRC). Both commissions have expressed an interest in assessing the uncertainty in consequence calculations used for risk assessments and regulatory purposes.
This paper presents a prototype system developed at Sandia National Laboratories to create and verify computer-generated graphical models of remote physical environments. The goal of the system is to create an interface between an operator and a computer vision system so that graphical models can be created interactively. Virtual reality and telepresence are used to allow interaction between the operator, computer, and remote environment. A stereo view of the remote environment is produced by two CCD cameras. The cameras are mounted on a three degree-of-freedom platform which is slaved to a mechanically-tracked, stereoscopic viewing device. This gives the operator a sense of immersion in the physical environment. The stereo video is enhanced by overlaying the graphical model onto it. Overlay of the graphical model onto the stereo video allows visual verification of graphical models. Creation of a graphical model is accomplished by allowing the operator to assist the computer in modeling. The operator controls a 3-D cursor to mark objects to be modeled. The computer then automatically extracts positional and geometric information about the object and creates the graphical model.
The fields of reliability analysis and risk assessment have grown dramatically since the 1970s. There are now bodies of literature and standard practices which cover quantitative aspects of system analysis such as failure rate and repair models, fault and event tree generation, minimal cut sets, classical and Bayesian analysis of reliability, component and system testing techniques, decomposition methods, etc. In spite of the growth in the sophistication of reliability models, however, little has been done to integrate optimization models within a reliability analysis framework. That is, often reliability models focus on characterization of system structure in terms of topology and failure/availability characteristics of components. A number of approaches have been proposed to help identify the components of a system that have the largest influence on overall system reliability. While this may help rank order the components, it does not necessarily help a system design team identify which components they should improve to optimize overall reliability (it may be cheaper and more effective to focus on improving two or three components of smaller importance than one component of larger importance). In this paper, we present an optimization model that identifies the components to be improved to maximize the increase in system MTBF, subject to a fixed budget constraint. A dual formulation of the model is to minimize cost, subject to achieving a certain level of system reliability.
In the detailed phenomenological event trees used in recent Level III PRA analyses questions arise about the possible outcomes of events for which the underlying physics is not well understood and where the initial and boundary conditions are uncertain. Examples of the types of events being analyzed are: What is the containment failure mode?, Is them a large in-vessel steam explosion?, How much H{sub 2}, CO, and CO{sub 2} are produced during core-concrete interactions? The outcomes of each of these questions must be defined based on an understanding of the basic physics of the phenomena and the level of detail of the probabilistic analysis. Many of these phenomena have never occurred since severe reactor accidents are extremely rare events. The only information we have about these phenomena comes from four basic sources: general theoretical knowledge, limited experimental results a few actual events, and various models of the phenomena. All of these phenomena have significant uncertainty arising from three basic sources: level of detail, initial and boundary conditions, and lack of knowledge. Since it is not possible to conduct enough full scale tests to generate a set of ``objective`` relative frequencies, the probabilities, therefore, will have to be ``subjective`` and generated based on expert knowledge. In assessing the conditional probabilities of the various possible outcomes of an event during an accident, the expert must amalgamate his knowledge with the level of detail being used in the PRA analysis to generate a set of probabilities for the defined set of outcomes. It is often convenient for an expert to formulate his opinion in terms of expecting to see n{sub i} occurrences of outcome E{sub i} in N occurrences of event E. The order of the outcomes is typically not important because the individual trials are viewed as being independent of one another.
In many science and engineering applications, there is an interest in predicting the outputs of a process for given levels of inputs. In order to develop a model, one could run the process (or a simulation of the process) at a number of points (a point would be one run at one set of possible input values) and observe the values of the outputs at those points. There observations can be used to predict the values of the outputs for other values of the inputs. Since the outputs are a function of the inputs, we can generate a surface in the space of possible inputs and outputs. This surface is called a response surface. In some cases, collecting data needed to generate a response surface can e very expensive. Thus, in these cases, there is a powerful incentive to minimize the sample size while building better response surfaces. One such case is the semiconductor equipment manufacturing industry. Semiconductor manufacturing equipment is complex and expensive. Depending upon the type of equipment, the number of control parameters may range from 10 to 30 with perhaps 5 to 10 being important. Since a single run can cost hundreds or thousands of dollars, it is very important to have efficient methods for building response surfaces. A current approach to this problem is to do the experiment in two stages. First, a traditional design (such as fractional factorial) is used to screen variables. After deciding which variables are significant, additional runs of the experiment are conducted. The original runs and the new runs are used to build a model with the significant variables. However, the original (screening) runs are not as helpful for building the model as some other points might have been. This paper presents a point selection scheme that is more efficient than traditional designs.
This document is a compilation of various presentations from the Fourth DOE Industry/University/Lab Forum on Robotics for Environmental Restoration and Waste Management held in Albuquerque, New Mexico July 19--21, 1993. Separate abstracts were prepared for each presentation of this report.