National Library of Energy BETA

Sample records for transportation total automated

  1. Automated Transportation Logistics and Analysis System (ATLAS...

    Office of Environmental Management (EM)

    Automated Transportation Logistics and Analysis System (ATLAS) ATLAS is an integrated web-based logistics management system allowing users to manage inbound and outbound freight ...

  2. Automated Transportation Logistics and Analysis System (ATLAS...

    Office of Environmental Management (EM)

    The Department of Energy's (DOE's) Automated Transportation Logistics and Analysis System is an integrated web-based logistics management system allowing users to manage inbound ...

  3. Chapter 8: Advancing Clean Transportation and Vehicle Systems and Technologies | Connected and Automated Vehicles Technology Assessment

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Connected and Automated Vehicles Chapter 8: Technology Assessments Introduction to Connected and Automated Vehicles Summary Connected vehicles are able to communicate with other vehicles and infrastructure automatically to improve transportation system function. Vehicle automation refers to the ability of a vehicle to operate with reduced or without direct human operation. Using a combination of advanced sensors and controls, sophisticated learning algorithms, and GPS and mapping technologies,

  4. Modeling the Energy Use of a Connected and Automated Transportation...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... from policies, including legality, insurance, liability, incentives, and treatment ... on Transportation: Energy Use, Greenhouse Gas Emissions, and Other Factors: http:...

  5. Functional requirements for the Automated Transportation Management System: TTP number: RL 439002

    SciTech Connect

    Portsmouth, J.H.

    1992-12-31

    This requirements analysis, documents Department of Energy (DOE) transportation management procedures for the purpose of providing a clear and mutual understanding between users and designers of the proposed Automated Transportation Management System (ATMS). It is imperative that one understand precisely how DOE currently performs traffic management tasks; only then can an integrated system be proposed that successfully satisfies the major requirements of transportation managers and other system users. Accordingly, this report describes the current workings of DOE transportation organizations and then proposes a new system which represents a synthesis of procedures (both current and desired) which forms the basis for further systems development activities.

  6. Modeling the Energy Use of a Connected and Automated Transportation System (Poster)

    SciTech Connect

    Gonder, J.; Brown, A.

    2014-07-01

    Early research points to large potential impacts of connected and automated vehicles (CAVs) on transportation energy use - dramatic savings, increased use, or anything in between. Due to a lack of suitable data and integrated modeling tools to explore these complex future systems, analyses to date have relied on simple combinations of isolated effects. This poster proposes a framework for modeling the potential energy implications from increasing penetration of CAV technologies and for assessing technology and policy options to steer them toward favorable energy outcomes. Current CAV modeling challenges include estimating behavior change, understanding potential vehicle-to-vehicle interactions, and assessing traffic flow and vehicle use under different automation scenarios. To bridge these gaps and develop a picture of potential future automated systems, NREL is integrating existing modeling capabilities with additional tools and data inputs to create a more fully integrated CAV assessment toolkit.

  7. Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual

    Energy Information Administration (EIA) (indexed site)

    Total Delivered Transportation Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 23.6 24.1 24.5 24.7 25.1 25.4 25.7 26.2 26.5 26.9 27.2 27.6 27.9 28.3 28.6 28.9 29.2 29.5 AEO 1995 23.3 24.0 24.2 24.7 25.1 25.5 25.9 26.2 26.5 26.9 27.3 27.7 28.0 28.3 28.5 28.7 28.9 AEO 1996 23.9 24.1 24.5 24.8 25.3 25.7 26.0 26.4 26.7 27.1 27.5 27.8 28.1 28.4 28.6 28.9 29.1 29.3

  8. Automated fabrication, characterization and transport of ICF pellets. Final report, March 1, 1979-October 31, 1980

    SciTech Connect

    Clifford, D W; Boyd, B A; Lilienkamp, R H

    1980-12-01

    The near-term objectives of the contract were threefold: (1) evaluate techniques for the production of frozen hydrogen microspheres and demonstrate concepts for coating them; (2) develop and demonstrate an optical characterization system which could lead to automated pellet inspection; and (3) develop and demonstrate a preliminary electrostatic pellet transport control system. This report describes the equipment assembled for these experiments and the results obtained.

  9. Total

    Energy Information Administration (EIA) (indexed site)

    Product: Total Crude Oil Liquefied Petroleum Gases PropanePropylene Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Fuel ...

  10. Total..........................................................

    Energy Information Administration (EIA) (indexed site)

    0.9 Q Q Q Heat Pump......7.7 0.3 Q Q Steam or Hot Water System......Census Division Total West Energy Information Administration ...

  11. Total..........................................................

    Energy Information Administration (EIA) (indexed site)

    0.9 Q Q Q Heat Pump......6.2 3.8 2.4 Steam or Hot Water System......Census Division Total Northeast Energy Information ...

  12. Total............................................................

    Energy Information Administration (EIA) (indexed site)

    Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592

  13. Total

    Energy Information Administration (EIA) (indexed site)

    Total floor- space 1 Heated floor- space 2 Total floor- space 1 Cooled floor- space 2 Total floor- space 1 Lit floor- space 2 All buildings 87,093 80,078 70,053 79,294 60,998 83,569 68,729 Building floorspace (square feet) 1,001 to 5,000 8,041 6,699 5,833 6,124 4,916 7,130 5,590 5,001 to 10,000 8,900 7,590 6,316 7,304 5,327 8,152 6,288 10,001 to 25,000 14,105 12,744 10,540 12,357 8,840 13,250 10,251 25,001 to 50,000 11,917 10,911 9,638 10,813 7,968 11,542 9,329 50,001 to 100,000 13,918 13,114

  14. Total...................................................................

    Energy Information Administration (EIA) (indexed site)

    2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to

  15. Total..........................................................................

    Energy Information Administration (EIA) (indexed site)

    . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to

  16. Total..........................................................................

    Energy Information Administration (EIA) (indexed site)

    5.6 17.7 7.9 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.5 0.3 Q 500 to 999........................................................... 23.8 3.9 2.4 1.5 1,000 to 1,499..................................................... 20.8 4.4 3.2 1.2 1,500 to 1,999..................................................... 15.4 3.5 2.4 1.1 2,000 to 2,499..................................................... 12.2 3.2 2.1 1.1 2,500 to

  17. Total..........................................................................

    Energy Information Administration (EIA) (indexed site)

    0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7

  18. Total..........................................................................

    Energy Information Administration (EIA) (indexed site)

    4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to

  19. Total................................................

    Energy Information Administration (EIA) (indexed site)

    .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to

  20. Total..........................................................

    Energy Information Administration (EIA) (indexed site)

    .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7

  1. Total...................................................................

    Energy Information Administration (EIA) (indexed site)

    Floorspace (Square Feet) Total Floorspace 1 Fewer than 500............................................ 3.2 0.4 Q 0.6 1.7 0.4 500 to 999................................................... 23.8 4.8 1.4 4.2 10.2 3.2 1,000 to 1,499............................................. 20.8 10.6 1.8 1.8 4.0 2.6 1,500 to 1,999............................................. 15.4 12.4 1.5 0.5 0.5 0.4 2,000 to 2,499............................................. 12.2 10.7 1.0 0.2 Q Q 2,500 to

  2. Total.........................................................................

    Energy Information Administration (EIA) (indexed site)

    Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3

  3. Total..........................................................................

    Energy Information Administration (EIA) (indexed site)

    25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1

  4. Total..........................................................................

    Energy Information Administration (EIA) (indexed site)

    7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4

  5. Total...........................................................

    Energy Information Administration (EIA) (indexed site)

    14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500.................................... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to 999........................................... 23.8 2.7 1.4 2.2 2.8 5.5 5.1 3.0 1.1 1,000 to 1,499..................................... 20.8 2.3 1.4 2.4 2.5 3.5 3.5 3.6 1.6 1,500 to 1,999..................................... 15.4 1.8 1.4 2.2 2.0 2.4 2.4 2.1 1.2 2,000 to 2,499..................................... 12.2 1.4 0.9

  6. Total...........................................................

    Energy Information Administration (EIA) (indexed site)

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8

  7. The Role of Electron Transport and Trapping in MOS Total-Dose Modeling

    SciTech Connect

    Fleetwood, D.M.; Winokur, P.S.; Riewe, L.C.; Flament, O.; Paillet, P.; Leray, J.L.

    1999-07-19

    Radiation-induced hole and electron transport and trapping are fundamental to MOS total-dose models. Here we separate the effects of electron-hole annihilation and electron trapping on the neutralization of radiation-induced charge during switched-bias irradiation for hard and soft oxides, via combined thermally stimulated current (TSC) and capacitance-voltage measurements. We also show that present total-dose models cannot account for the thermal stability of deeply trapped electrons near the Si/SiO{sub 2} interface, or the inability of electrons in deep or shallow traps to contribute to TSC at positive bias following (1) room-temperature, (2) high-temperature, or (3) switched-bias irradiation. These results require revisions of modeling parameters and boundary conditions for hole and electron transport in SiO{sub 2}. The nature of deep and shallow electron traps in the near-interfacial SiO{sub 2} is discussed.

  8. Automated system for removal and pneumatic transport of fly ash from electric precipitator hoppers

    SciTech Connect

    V.K. Konovalov; O.V. Yashkin; V.V. Ermakov

    2008-03-15

    A system for removal and pneumatic transport of fly ash is examined, in which air pulses act on batches (pistons) of ash formed in a duct. Studies are made of the effect of several physical parameters on the force required to displace a piston of ash and these serve as a basis for choosing a system for removal and pneumatic transport of ash simultaneously from several hoppers of an electric precipitator. This makes it possible to separate the ash particles according to size without introducing additional components. Formulas are given for calculating the structural and dynamic parameters of this system and measurements of indirect dynamic parameters are used to calculate the input-output characteristics of the system. In order to optimize the system, configurations for summing several ducts into a single transport duct for pneumatic ash transport are proposed. Some variants of dry ash utilization and the advantages of producing of size-separated particles are considered.

  9. "Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual"

    Energy Information Administration (EIA) (indexed site)

    Total Delivered Transportation Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",23.62,24.08,24.45,24.72,25.06,25.38,25.74,26.16,26.49,26.85,27.23,27.55,27.91,28.26,28.61,28.92,29.18,29.5 "AEO 1995",,23.26,24.01,24.18,24.69,25.11,25.5,25.86,26.15,26.5,26.88,27.28,27.66,27.99,28.25,28.51,28.72,28.94 "AEO

  10. Automating Risk Assessments of Hazardous Material Shipments for Transportation Routes and Mode Selection

    SciTech Connect

    Barbara H. Dolphin; William D. RIchins; Stephen R. Novascone

    2010-10-01

    The METEOR project at Idaho National Laboratory (INL) successfully addresses the difficult problem in risk assessment analyses of combining the results from bounding deterministic simulation results with probabilistic (Monte Carlo) risk assessment techniques. This paper describes a software suite designed to perform sensitivity and cost/benefit analyses on selected transportation routes and vehicles to minimize risk associated with the shipment of hazardous materials. METEOR uses Monte Carlo techniques to estimate the probability of an accidental release of a hazardous substance along a proposed transportation route. A METEOR user selects the mode of transportation, origin and destination points, and charts the route using interactive graphics. Inputs to METEOR (many selections built in) include crash rates for the specific aircraft, soil/rock type and population densities over the proposed route, and bounding limits for potential accident types (velocity, temperature, etc.). New vehicle, materials, and location data are added when available. If the risk estimates are unacceptable, the risks associated with alternate transportation modes or routes can be quickly evaluated and compared. Systematic optimizing methods will provide the user with the route and vehicle selection identified with the lowest risk of hazardous material release. The effects of a selected range of potential accidents such as vehicle impact, fire, fuel explosions, excessive containment pressure, flooding, etc. are evaluated primarily using hydrocodes capable of accurately simulating the material response of critical containment components. Bounding conditions that represent credible accidents (i.e; for an impact event, velocity, orientations, and soil conditions) are used as input parameters to the hydrocode models yielding correlation functions relating accident parameters to component damage. The Monte Carlo algorithms use random number generators to make selections at the various decision

  11. Barge Truck Total

    Annual Energy Outlook

    Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over...

  12. Total Crude by Pipeline

    Energy Information Administration (EIA) (indexed site)

    Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign

  13. Transportation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation Resources Policies, Manuals & References Map Transportation Publications ⇒ Navigate Section Resources Policies, Manuals & References Map Transportation Publications View Larger Map Main Address 1 Cyclotron Rd‎ University of California Berkeley Berkeley, CA 94720 The Laboratory is in Berkeley on the hillside directly above the campus of the University of California at Berkeley. Our address is 1 Cyclotron Road, Berkeley CA 94720. To make the Lab easily accessible, the

  14. transportation

    National Nuclear Security Administration (NNSA)

    security missions undertaken by the U.S. government.

    Pantex Plant's Calvin Nelson honored as Analyst of the Year for Transportation Security http:nnsa.energy.gov...

  15. Reduced computational cost, totally symmetric angular quadrature sets for discrete ordinates radiation transport. Master`s thesis

    SciTech Connect

    Oder, J.M.

    1997-12-01

    Several new quadrature sets for use in the discrete ordinates method of solving the Boltzmann neutral particle transport equation are derived. These symmetric quadratures extend the traditional symmetric quadratures by allowing ordinates perpendicular to one or two of the coordinate axes. Comparable accuracy with fewer required ordinates is obtained. Quadratures up to seventh order are presented. The validity and efficiency of the quadratures is then tested and compared with the Sn level symmetric quadratures relative to a Monte Carlo benchmark solution. The criteria for comparison include current through the surface, scalar flux at the surface, volume average scalar flux, and time required for convergence. Appreciable computational cost was saved when used in an unstructured tetrahedral cell code using highly accurate characteristic methods. However, no appreciable savings in computation time was found using the new quadratures compared with traditional Sn methods on a regular Cartesian mesh using the standard diamond difference method. These quadratures are recommended for use in three-dimensional calculations on an unstructured mesh.

  16. Cloud-Based Transportation Management System Delivers Savings...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    reduce transportation costs. The Department of Energy (DOE) Office of Packaging & Transportation (OPT) implemented ATLAS (Automated Transportation Logistics & Analysis System), a ...

  17. TJ Automation | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    TJ Automation Jump to: navigation, search Name TJ Automation Facility TJ Automation Sector Wind energy Facility Type Small Scale Wind Facility Status In Service Owner TJ Automation...

  18. WIPP Documents - Transportation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation

  19. Multiplex automated genome engineering

    DOEpatents

    Church, George M; Wang, Harris H; Isaacs, Farren J

    2013-10-29

    The present invention relates to automated methods of introducing multiple nucleic acid sequences into one or more target cells.

  20. Program Automation | Department of Energy

    Energy Saver

    Automation Program Automation Better Buildings Residential Network Data and Evaluation ... More Documents & Publications Generating Energy Efficiency Project Leads and Allocating ...

  1. Shoe-String Automation

    SciTech Connect

    Duncan, M.L.

    2001-07-30

    Faced with a downsizing organization, serious budget reductions and retirement of key metrology personnel, maintaining capabilities to provide necessary services to our customers was becoming increasingly difficult. It appeared that the only solution was to automate some of our more personnel-intensive processes; however, it was crucial that the most personnel-intensive candidate process be automated, at the lowest price possible and with the lowest risk of failure. This discussion relates factors in the selection of the Standard Leak Calibration System for automation, the methods of automation used to provide the lowest-cost solution and the benefits realized as a result of the automation.

  2. Automation of the longwall mining system

    SciTech Connect

    Zimmerman, W.; Aster, R.; Harris, J.; High, J.

    1982-11-01

    The longwall automation study presented is the first phase of a study to evaluate mining automation opportunities. The objective was to identify cost-effective, safe, and technologically sound applications of automation technology to understand coal mining. The prime automation candidates resulting from the industry experience and survey were: (1) the shearer operation, (2) shield and conveyor pan-line advance, (3) a management information system to allow improved mine logistics support, and (4) component fault isolation and diagnostics to reduce untimely maintenance delays. A system network analysis indicated that a 40% improvement in productivity was feasible if system delays associated with all of the above four areas were removed. A technology assessment and conceptual system design of each of the four automation candidate areas showed that state-of-the-art digital computer, servomechanism, and actuator technologies could be applied to automate the longwall system. The final cost benefit analysis of all of the automation areas indicated a total net national benefit (profit) of roughly $200 million to the longwall mining industry if all automation candidates were installed. This cost benefit represented an approximate order of magnitude payback on the research and development (R and D) investment. In conclusion, it is recommended that the shearer operation be automated first because it provides a large number of other sensor inputs required for face alignment (i.e., shields and conveyor). Automation of the shield and conveyor pan-line advance is suggested as the next step since both the shearer and face alignment operations contributed the greatest time delays to the overall system downtime.

  3. Automated fuel pin loading system

    DOEpatents

    Christiansen, D.W.; Brown, W.F.; Steffen, J.M.

    An automated loading system for nuclear reactor fuel elements utilizes a gravity feed conveyor which permits individual fuel pins to roll along a constrained path perpendicular to their respective lengths. The individual lengths of fuel cladding are directed onto movable transports, where they are aligned coaxially with the axes of associated handling equipment at appropriate production stations. Each fuel pin can be be reciprocated axially and/or rotated about its axis as required during handling steps. The fuel pins are inerted as a batch prior to welding of end caps by one of two disclosed welding systems.

  4. Automated fuel pin loading system

    DOEpatents

    Christiansen, David W.; Brown, William F.; Steffen, Jim M.

    1985-01-01

    An automated loading system for nuclear reactor fuel elements utilizes a gravity feed conveyor which permits individual fuel pins to roll along a constrained path perpendicular to their respective lengths. The individual lengths of fuel cladding are directed onto movable transports, where they are aligned coaxially with the axes of associated handling equipment at appropriate production stations. Each fuel pin can be reciprocated axially and/or rotated about its axis as required during handling steps. The fuel pins are inserted as a batch prior to welding of end caps by one of two disclosed welding systems.

  5. Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles

    DOE PAGES [OSTI]

    Wadud, Zia; MacKenzie, Don; Leiby, Paul

    2016-02-26

    In 5-10 years, experts predict that new automobiles will be capable of driving themselves under limited conditions and under most conditions within 10–20 years. Automation may affect road vehicle energy consumption and greenhouse gas (GHG) emissions in a host of ways, positive and negative, by causing changes in travel demand, vehicle design, vehicle operating profiles, and choices of fuels. In this paper, we identify specific mechanisms through which automation may affect travel and energy demand and resulting GHG emissions and bring them together using a coherent energy decomposition framework. Here, we review the literature for estimates of the energy impactsmore » of each mechanism and, where the literature is lacking, develop our own estimates using engineering and economic analysis. We consider how widely applicable each mechanism is, and quantify the potential impact of each mechanism on a common basis: the percentage change it is expected to cause in total GHG emissions from light-duty or heavy-duty vehicles in the U.S. Our primary focus is travel related energy consumption and emissions, since potential lifecycle impacts are generally smaller in magnitude. We also explore the net effects of automation on emissions through several illustrative scenarios, finding that automation might plausibly reduce road transport GHG emissions and energy use by nearly half – or nearly double them – depending on which effects come to dominate. We also find that many potential energy-reduction benefits may be realized through partial automation, while the major energy/emission downside risks appear more likely at full automation. Finally, we present some implications for policymakers and identifying priority areas for further research.« less

  6. Total Imports

    Energy Information Administration (EIA) (indexed site)

    Data Series: Imports - Total Imports - Crude Oil Imports - Crude Oil, Commercial Imports - by SPR Imports - into SPR by Others Imports - Total Products Imports - Total Motor Gasoline Imports - Finished Motor Gasoline Imports - Reformulated Gasoline Imports - Reformulated Gasoline Blended w/ Fuel Ethanol Imports - Other Reformulated Gasoline Imports - Conventional Gasoline Imports - Conv. Gasoline Blended w/ Fuel Ethanol Imports - Conv. Gasoline Blended w/ Fuel Ethanol, Ed55 & < Imports -

  7. Making the transition to automation

    SciTech Connect

    Christenson, D.J. )

    1992-10-01

    By 1995, the Bureau of Reclamation's hydropower plant near Hungry Horse, Montana, will be remotely operated from Grand Coulee dam (about 300 miles away) in Washington State. Automation at Hungry Horse will eliminate the need for four full-time power plant operators. Between now and then, a transition plan that offers employees choices for retraining, transferring, or taking early retirement will smooth the transition in reducing from five operators to one. The transition plan also includes the use of temporary employees to offset risks of reducing staff too soon. When completed in 1953, the Hungry Horse structure was the world's fourth largest and fourth highest concrete dam. The arch-gravity structure has a crest length of 2,115 feet; it is 3,565 feet above sea level. The four turbine-generator units in the powerhouse total 284 MW, and supply approximately 1 billion kilowatt-hours of electricity annually to the federal power grid managed by the Bonneville Power Administration. In 1988, Reclamation began to automate operations at many of its hydro plants, and to establish centralized control points. The control center concept will increase efficiency. It also will coordinate water movements and power supply throughout the West. In the Pacific Northwest, the Grand Coulee and Black Canyon plants are automated control centers. Several Reclamation-owned facilities in the Columbia River Basin, including Hungry Horse, will be connected to these centers via microwave and telephone lines. When automation is complete, constant monitoring by computer will replace hourly manual readings and equipment checks. Computers also are expected to increase water use efficiency by 1 to 2 percent by ensuring operation for maximum turbine efficiency. Unit efficiency curves for various heads will be programmed into the system.

  8. Transportation Energy Futures Study

    Energy.gov [DOE]

    Transportation accounts for 71% of total U.S. petroleum consumption and 33% of total greenhouse gas emissions. The Transportation Energy Futures (TEF) study examines underexplored oil-savings and...

  9. Automated Lattice Perturbation Theory

    SciTech Connect

    Monahan, Christopher

    2014-11-01

    I review recent developments in automated lattice perturbation theory. Starting with an overview of lattice perturbation theory, I focus on the three automation packages currently "on the market": HiPPy/HPsrc, Pastor and PhySyCAl. I highlight some recent applications of these methods, particularly in B physics. In the final section I briefly discuss the related, but distinct, approach of numerical stochastic perturbation theory.

  10. Automation of mechanical testing

    SciTech Connect

    Heberling, D.T.

    1993-01-01

    This publication, Automation of Mechanical Testing, contains papers presented at the symposium of the same name, held in Pittsburgh, PA on 21 May 1992. The symposium was sponsored by ASTM Committee E-28 on Mechanical Testing. David T. Heberling, Armco Steel Co., L.P., Middletown Works Metallurgical Laboratory, Middletown, OH, presided as symposium chairman and is editor of the resulting publication. Hopefully, the initial flurry of activity has now subsided enough that the 90s can be a decade of maturing and standardization of automated test procedures. To help achieve this goal, the authors present in this STP nine technical papers on the automation of mechanical testing. The first five form a primer for those preparing to implement automated testing. These papers consist of information obtained the hard way--from experience with automation projects. Beginning with the fifth, which fits into both categories, the papers focus on specific technical issues and topics, many of which affect or need to be addressed by ASTM standards.

  11. Meikle Automation Inc | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Meikle Automation Inc Jump to: navigation, search Name: Meikle Automation Inc Place: Kitchener, Ontario, Canada Zip: N2E 3Z5 Product: Canadian manufacturer of automation systems...

  12. LANL to certify automated influenza surveillance system

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    LANL to certify automated influenza surveillance system LANL to certify automated influenza surveillance system A compact automated system for surveillance and screening of...

  13. Automated gas chromatography

    DOEpatents

    Mowry, Curtis D.; Blair, Dianna S.; Rodacy, Philip J.; Reber, Stephen D.

    1999-01-01

    An apparatus and process for the continuous, near real-time monitoring of low-level concentrations of organic compounds in a liquid, and, more particularly, a water stream. A small liquid volume of flow from a liquid process stream containing organic compounds is diverted by an automated process to a heated vaporization capillary where the liquid volume is vaporized to a gas that flows to an automated gas chromatograph separation column to chromatographically separate the organic compounds. Organic compounds are detected and the information transmitted to a control system for use in process control. Concentrations of organic compounds less than one part per million are detected in less than one minute.

  14. State Residential Commercial Industrial Transportation Total

    Energy Information Administration (EIA) (indexed site)

    0 12,002,661 Massachusetts 20,071,160 26,076,208 7,960,941 360,983 54,469,292 New Hampshire 4,510,487 4,464,530 1,969,064 0 10,944,081 Rhode Island 3,070,347 3,657,679 ...

  15. Automated CCTV Tester

    Energy Science and Technology Software Center

    2000-09-13

    The purpose of an automated CCTV tester is to automatically and continuously monitor multiple perimeter security cameras for changes in a camera's measured resolution and alignment (camera looking at the proper area). It shall track and record the image quality and position of each camera and produce an alarm when a camera is out of specification.

  16. Home Automation Interoperability

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Consumer Electronics Association Home Automation Interoperability CE.org Using XML to Standardize Device Descriptions Bill Rose President, WJR Consulting, Inc. brose@wjrconsulting.com Consumer Electronics Association * 2,000 consumer technology member companies * Provides valuable and innovative members-only resources: * Market Research, educational programs and training * Networking opportunities with business advocates and leaders * Extensive promotional programs, and representation * Develops

  17. Automation Status | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Automation Status Automation Status Presented at the NREL Hydrogen and Fuel Cell Manufacturing R&D Workshop in Washington, DC, August 11-12, 2011. Automation Status (1.93 MB) More Documents & Publications PEM Stack Manufacturing: Industry Status 2011 NREL/DOE Hydrogen and Fuel Cell Manufacturing R&D Workshop Report Manufacturing Barriers to High Temperature PEM Commercialization

  18. Honeywell Demonstrates Automated Demand Response Benefits for...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Honeywell Demonstrates Automated Demand Response Benefits for Utility, Commercial, and Industrial Customers Honeywell Demonstrates Automated Demand Response Benefits for Utility, ...

  19. Sandia National Laboratories: Research: High Consequence, Automation...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    High-Consequence Automation Robotics Homepage About Robotics Research & Development Advanced Controls Advanced Manipulation Cybernetics High-Consequence Automation Demilitarization...

  20. Automating Shallow Seismic Imaging

    SciTech Connect

    Steeples, Don W.

    2004-12-09

    This seven-year, shallow-seismic reflection research project had the aim of improving geophysical imaging of possible contaminant flow paths. Thousands of chemically contaminated sites exist in the United States, including at least 3,700 at Department of Energy (DOE) facilities. Imaging technologies such as shallow seismic reflection (SSR) and ground-penetrating radar (GPR) sometimes are capable of identifying geologic conditions that might indicate preferential contaminant-flow paths. Historically, SSR has been used very little at depths shallower than 30 m, and even more rarely at depths of 10 m or less. Conversely, GPR is rarely useful at depths greater than 10 m, especially in areas where clay or other electrically conductive materials are present near the surface. Efforts to image the cone of depression around a pumping well using seismic methods were only partially successful (for complete references of all research results, see the full Final Technical Report, DOE/ER/14826-F), but peripheral results included development of SSR methods for depths shallower than one meter, a depth range that had not been achieved before. Imaging at such shallow depths, however, requires geophone intervals of the order of 10 cm or less, which makes such surveys very expensive in terms of human time and effort. We also showed that SSR and GPR could be used in a complementary fashion to image the same volume of earth at very shallow depths. The primary research focus of the second three-year period of funding was to develop and demonstrate an automated method of conducting two-dimensional (2D) shallow-seismic surveys with the goal of saving time, effort, and money. Tests involving the second generation of the hydraulic geophone-planting device dubbed the ''Autojuggie'' showed that large numbers of geophones can be placed quickly and automatically and can acquire high-quality data, although not under rough topographic conditions. In some easy-access environments, this device could

  1. Automated macromolecular crystallization screening

    DOEpatents

    Segelke, Brent W.; Rupp, Bernhard; Krupka, Heike I.

    2005-03-01

    An automated macromolecular crystallization screening system wherein a multiplicity of reagent mixes are produced. A multiplicity of analysis plates is produced utilizing the reagent mixes combined with a sample. The analysis plates are incubated to promote growth of crystals. Images of the crystals are made. The images are analyzed with regard to suitability of the crystals for analysis by x-ray crystallography. A design of reagent mixes is produced based upon the expected suitability of the crystals for analysis by x-ray crystallography. A second multiplicity of mixes of the reagent components is produced utilizing the design and a second multiplicity of reagent mixes is used for a second round of automated macromolecular crystallization screening. In one embodiment the multiplicity of reagent mixes are produced by a random selection of reagent components.

  2. Automated gas chromatography

    DOEpatents

    Mowry, C.D.; Blair, D.S.; Rodacy, P.J.; Reber, S.D.

    1999-07-13

    An apparatus and process for the continuous, near real-time monitoring of low-level concentrations of organic compounds in a liquid, and, more particularly, a water stream. A small liquid volume of flow from a liquid process stream containing organic compounds is diverted by an automated process to a heated vaporization capillary where the liquid volume is vaporized to a gas that flows to an automated gas chromatograph separation column to chromatographically separate the organic compounds. Organic compounds are detected and the information transmitted to a control system for use in process control. Concentrations of organic compounds less than one part per million are detected in less than one minute. 7 figs.

  3. Transport Energy Impact Analysis; NREL (National Renewable Energy Laboratory)

    SciTech Connect

    Gonder, J.

    2015-05-13

    Presented at the Sustainable Transportation Energy Pathways Spring 2015 Symposium on May 13, 2015, this presentation by Jeff Gonder of the National Renewable Energy Laboratory (NREL) provides information about NREL's transportation energy impact analysis of connected and automated vehicles.

  4. Automated Testing System

    Energy Science and Technology Software Center

    2006-05-09

    ATS is a Python-language program for automating test suites for software programs that do not interact with thier users, such as scripted scientific simulations. ATS features a decentralized approach especially suited to larger projects. In its multinode mode it can utilize many nodes of a cluster in order to do many test in parallel. It has features for submitting longer-running tests to a batch system and would have to be customized for use elsewhere.

  5. Automated Job Hazards Analysis

    Energy.gov [DOE]

    AJHA Program - The Automated Job Hazard Analysis (AJHA) computer program is part of an enhanced work planning process employed at the Department of Energy's Hanford worksite. The AJHA system is routinely used to performed evaluations for medium and high risk work, and in the development of corrective maintenance work packages at the site. The tool is designed to ensure that workers are fully involved in identifying the hazards, requirements, and controls associated with tasks.

  6. Transportation System Simulation | Argonne National Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation System Simulation Transportation System Simulation Today's transportation systems are becoming more and more complex, with integration of communication technologies, vehicle automation and innovative mobility solutions. The advent of connected and autonomous vehicles (CAVs) will see no shortage of new technologies aimed at transforming transportation. While some will likely succeed and others fail, to truly understand their potential and their impacts on the larger transportation

  7. Automated Proactive Fault Isolation: A Key to Automated Commissioning

    SciTech Connect

    Katipamula, Srinivas; Brambley, Michael R.

    2007-07-31

    In this paper, we present a generic model for automated continuous commissioing and then delve in detail into one of the processes, proactive testing for fault isolation, which is key to automating commissioning. The automated commissioining process uses passive observation-based fault detction and diagnostic techniques, followed by automated proactive testing for fault isolation, automated fault evaluation, and automated reconfiguration of controls together to continuously keep equipment controlled and running as intended. Only when hard failures occur or a physical replacement is required does the process require human intervention, and then sufficient information is provided by the automated commissioning system to target manual maintenance where it is needed. We then focus on fault isolation by presenting detailed logic that can be used to automatically isolate faults in valves, a common component in HVAC systems, as an example of how automated proactive fault isolation can be accomplished. We conclude the paper with a discussion of how this approach to isolating faults can be applied to other common HVAC components and their automated commmissioning and a summary of key conclusions of the paper.

  8. Contaminant analysis automation, an overview

    SciTech Connect

    Hollen, R.; Ramos, O. Jr

    1996-05-01

    To meet the environmental restoration and waste minimization goals of government and industry, several government laboratories, universities, and private companies have formed the Contaminant Analysis Automation (CAA) team. The goal of this consortium is to design and fabricate robotics systems that standardize and automate the hardware and software of the most common environmental chemical methods. In essence, the CAA team takes conventional, regulatory- approved (EPA Methods) chemical analysis processes and automates them. The automation consists of standard laboratory modules (SLMs) that perform the work in a much more efficient, accurate, and cost- effective manner.

  9. Automated fiber pigtailing machine

    DOEpatents

    Strand, O.T.; Lowry, M.E.

    1999-01-05

    The Automated Fiber Pigtailing Machine (AFPM) aligns and attaches optical fibers to optoelectronic (OE) devices such as laser diodes, photodiodes, and waveguide devices without operator intervention. The so-called pigtailing process is completed with sub-micron accuracies in less than 3 minutes. The AFPM operates unattended for one hour, is modular in design and is compatible with a mass production manufacturing environment. This machine can be used to build components which are used in military aircraft navigation systems, computer systems, communications systems and in the construction of diagnostics and experimental systems. 26 figs.

  10. Automated fiber pigtailing machine

    DOEpatents

    Strand, Oliver T.; Lowry, Mark E.

    1999-01-01

    The Automated Fiber Pigtailing Machine (AFPM) aligns and attaches optical fibers to optoelectonic (OE) devices such as laser diodes, photodiodes, and waveguide devices without operator intervention. The so-called pigtailing process is completed with sub-micron accuracies in less than 3 minutes. The AFPM operates unattended for one hour, is modular in design and is compatible with a mass production manufacturing environment. This machine can be used to build components which are used in military aircraft navigation systems, computer systems, communications systems and in the construction of diagnostics and experimental systems.

  11. Automated Hazard Analysis

    Energy Science and Technology Software Center

    2003-06-26

    The Automated Hazard Analysis (AHA) application is a software tool used to conduct job hazard screening and analysis of tasks to be performed in Savannah River Site facilities. The AHA application provides a systematic approach to the assessment of safety and environmental hazards associated with specific tasks, and the identification of controls regulations, and other requirements needed to perform those tasks safely. AHA is to be integrated into existing Savannah River site work control andmore » job hazard analysis processes. Utilization of AHA will improve the consistency and completeness of hazard screening and analysis, and increase the effectiveness of the work planning process.« less

  12. Methods for Multisweep Automation

    SciTech Connect

    SHEPHERD,JASON F.; MITCHELL,SCOTT A.; KNUPP,PATRICK; WHITE,DAVID R.

    2000-09-14

    Sweeping has become the workhorse algorithm for creating conforming hexahedral meshes of complex models. This paper describes progress on the automatic, robust generation of MultiSwept meshes in CUBIT. MultiSweeping extends the class of volumes that may be swept to include those with multiple source and multiple target surfaces. While not yet perfect, CUBIT's MultiSweeping has recently become more reliable, and been extended to assemblies of volumes. Sweep Forging automates the process of making a volume (multi) sweepable: Sweep Verification takes the given source and target surfaces, and automatically classifies curve and vertex types so that sweep layers are well formed and progress from sources to targets.

  13. World-wide distribution automation systems

    SciTech Connect

    Devaney, T.M.

    1994-12-31

    A worldwide power distribution automation system is outlined. Distribution automation is defined and the status of utility automation is discussed. Other topics discussed include a distribution management system, substation feeder, and customer functions, potential benefits, automation costs, planning and engineering considerations, automation trends, databases, system operation, computer modeling of system, and distribution management systems.

  14. Solar Automation Inc | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Solar Automation Inc Place: Albuquerque, New Mexico Zip: NM 8110 Product: Produces manufacturing equipment for PV cells. References: Solar Automation Inc1 This article is a...

  15. Brooks Automation Inc | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Product: Automation equipment supplier, including vacuum pumps for thin film PV manufacturing facilities. References: Brooks Automation Inc1 This article is a stub. You can...

  16. Automated Defect Classification (ADC)

    Energy Science and Technology Software Center

    1998-01-01

    The ADC Software System is designed to provide semiconductor defect feature analysis and defect classification capabilities. Defect classification is an important software method used by semiconductor wafer manufacturers to automate the analysis of defect data collected by a wide range of microscopy techniques in semiconductor wafer manufacturing today. These microscopies (e.g., optical bright and dark field, scanning electron microscopy, atomic force microscopy, etc.) generate images of anomalies that are induced or otherwise appear on wafermore » surfaces as a result of errant manufacturing processes or simple atmospheric contamination (e.g., airborne particles). This software provides methods for analyzing these images, extracting statistical features from the anomalous regions, and applying supervised classifiers to label the anomalies into user-defined categories.« less

  17. Robust automated knowledge capture.

    SciTech Connect

    Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt

    2011-10-01

    This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.

  18. Automated Demand Response Opportunities in Wastewater Treatment Facilities

    SciTech Connect

    Thompson, Lisa; Song, Katherine; Lekov, Alex; McKane, Aimee

    2008-11-19

    Wastewater treatment is an energy intensive process which, together with water treatment, comprises about three percent of U.S. annual energy use. Yet, since wastewater treatment facilities are often peripheral to major electricity-using industries, they are frequently an overlooked area for automated demand response opportunities. Demand response is a set of actions taken to reduce electric loads when contingencies, such as emergencies or congestion, occur that threaten supply-demand balance, and/or market conditions occur that raise electric supply costs. Demand response programs are designed to improve the reliability of the electric grid and to lower the use of electricity during peak times to reduce the total system costs. Open automated demand response is a set of continuous, open communication signals and systems provided over the Internet to allow facilities to automate their demand response activities without the need for manual actions. Automated demand response strategies can be implemented as an enhanced use of upgraded equipment and facility control strategies installed as energy efficiency measures. Conversely, installation of controls to support automated demand response may result in improved energy efficiency through real-time access to operational data. This paper argues that the implementation of energy efficiency opportunities in wastewater treatment facilities creates a base for achieving successful demand reductions. This paper characterizes energy use and the state of demand response readiness in wastewater treatment facilities and outlines automated demand response opportunities.

  19. Automated cassette-to-cassette substrate handling system

    DOEpatents

    Kraus, Joseph Arthur; Boyer, Jeremy James; Mack, Joseph; DeChellis, Michael; Koo, Michael

    2014-03-18

    An automated cassette-to-cassette substrate handling system includes a cassette storage module for storing a plurality of substrates in cassettes before and after processing. A substrate carrier storage module stores a plurality of substrate carriers. A substrate carrier loading/unloading module loads substrates from the cassette storage module onto the plurality of substrate carriers and unloads substrates from the plurality of substrate carriers to the cassette storage module. A transport mechanism transports the plurality of substrates between the cassette storage module and the plurality of substrate carriers and transports the plurality of substrate carriers between the substrate carrier loading/unloading module and a processing chamber. A vision system recognizes recesses in the plurality of substrate carriers corresponding to empty substrate positions in the substrate carrier. A processor receives data from the vision system and instructs the transport mechanism to transport substrates to positions on the substrate carrier in response to the received data.

  20. Recommendation 207: Automate the Stewardship Verification Process

    Energy.gov [DOE]

    ORSSAB recommends DOE automate the Stewardship Verification Process for the Remediation Effectiveness Report.

  1. Tritium Irrigation Facility & Automated Vadose Zone Monitoring System |

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Savannah River Ecology Laboratory Tritium Irrigation Facility and Automated Vadose Monitoring System The opportunity to study tritium movement in a natural system presents a rare opportunity for both physical and biological research. Researchers may take advantage of tritium's properties as a conservative tracer for modeling contaminant transport, as a radioactive tracer for examining biological processes involving water, or as an example of radionuclide contaminant behavior in natural

  2. Development testing of the chemical analysis automation polychlorinated biphenyl standard analysis method during surface soils sampling at the David Witherspoon 1630 site

    SciTech Connect

    Hunt, M.A.; Klatt, L.N.; Thompson, D.H.

    1998-02-01

    The Chemical Analysis Automation (CAA) project is developing standardized, software-driven, site-deployable robotic laboratory systems with the objective of lowering the per-sample analysis cost, decreasing sample turnaround time, and minimizing human exposure to hazardous and radioactive materials associated with DOE remediation projects. The first integrated system developed by the CAA project is designed to determine polychlorinated biphenyls (PCB) content in soil matrices. A demonstration and development testing of this system was conducted in conjuction with surface soil characterization activities at the David Witherspoon 1630 Site in Knoxville, Tennessee. The PCB system consists of five hardware standard laboratory modules (SLMs), one software SLM, the task sequence controller (TSC), and the human-computer interface (HCI). Four of the hardware SLMs included a four-channel Soxhlet extractor, a high-volume concentrator, a column cleanup, and a gas chromatograph. These SLMs performed the sample preparation and measurement steps within the total analysis protocol. The fifth hardware module was a robot that transports samples between the SLMs and the required consumable supplies to the SLMs. The software SLM is an automated data interpretation module that receives raw data from the gas chromatograph SLM and analyzes the data to yield the analyte information. The TSC is a software system that provides the scheduling, management of system resources, and the coordination of all SLM activities. The HCI is a graphical user interface that presents the automated laboratory to the analyst in terms of the analytical procedures and methods. Human control of the automated laboratory is accomplished via the HCI. Sample information required for processing by the automated laboratory is entered through the HCI. Information related to the sample and the system status is presented to the analyst via graphical icons.

  3. Home Network Technologies and Automating Demand Response

    SciTech Connect

    McParland, Charles

    2009-12-01

    Over the past several years, interest in large-scale control of peak energy demand and total consumption has increased. While motivated by a number of factors, this interest has primarily been spurred on the demand side by the increasing cost of energy and, on the supply side by the limited ability of utilities to build sufficient electricity generation capacity to meet unrestrained future demand. To address peak electricity use Demand Response (DR) systems are being proposed to motivate reductions in electricity use through the use of price incentives. DR systems are also be design to shift or curtail energy demand at critical times when the generation, transmission, and distribution systems (i.e. the 'grid') are threatened with instabilities. To be effectively deployed on a large-scale, these proposed DR systems need to be automated. Automation will require robust and efficient data communications infrastructures across geographically dispersed markets. The present availability of widespread Internet connectivity and inexpensive, reliable computing hardware combined with the growing confidence in the capabilities of distributed, application-level communications protocols suggests that now is the time for designing and deploying practical systems. Centralized computer systems that are capable of providing continuous signals to automate customers reduction of power demand, are known as Demand Response Automation Servers (DRAS). The deployment of prototype DRAS systems has already begun - with most initial deployments targeting large commercial and industrial (C & I) customers. An examination of the current overall energy consumption by economic sector shows that the C & I market is responsible for roughly half of all energy consumption in the US. On a per customer basis, large C & I customers clearly have the most to offer - and to gain - by participating in DR programs to reduce peak demand. And, by concentrating on a small number of relatively sophisticated

  4. BOA: Framework for automated builds

    SciTech Connect

    N. Ratnikova et al.

    2003-09-30

    Managing large-scale software products is a complex software engineering task. The automation of the software development, release and distribution process is most beneficial in the large collaborations, where the big number of developers, multiple platforms and distributed environment are typical factors. This paper describes Build and Output Analyzer framework and its components that have been developed in CMS to facilitate software maintenance and improve software quality. The system allows to generate, control and analyze various types of automated software builds and tests, such as regular rebuilds of the development code, software integration for releases and installation of the existing versions.

  5. ,"Total Natural Gas Consumption

    Energy Information Administration (EIA) (indexed site)

    Gas Consumption (billion cubic feet)",,,,,"Natural Gas Energy Intensity (cubic feetsquare foot)" ,"Total ","Space Heating","Water Heating","Cook- ing","Other","Total ","Space...

  6. Automated Surface Observing System: Standby Power Options

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Automated Surface Observing System Standby Options Power Automated Surface Observing System (ASOS) General System Description * Self contained group of sensors and data gathering equipment that produces an automated weather observation * Weather observations support aviation, climate data, non government weather operations, public consumption, etc. * Initial deployment began in 1991 and continued through 1997 * Located at 884 sites nationwide, normally at airports * System has two distinct

  7. Specimen coordinate automated measuring machine/fiducial automated measuring machine

    DOEpatents

    Hedglen, Robert E.; Jacket, Howard S.; Schwartz, Allan I.

    1991-01-01

    The Specimen coordinate Automated Measuring Machine (SCAMM) and the Fiducial Automated Measuring Machine (FAMM) is a computer controlled metrology system capable of measuring length, width, and thickness, and of locating fiducial marks. SCAMM and FAMM have many similarities in their designs, and they can be converted from one to the other without taking them out of the hot cell. Both have means for: supporting a plurality of samples and a standard; controlling the movement of the samples in the +/- X and Y directions; determining the coordinates of the sample; compensating for temperature effects; and verifying the accuracy of the measurements and repeating as necessary. SCAMM and FAMM are designed to be used in hot cells.

  8. Harnessing Vehicle Automation for Public Mobility -- An Overview of Ongoing Efforts

    SciTech Connect

    Young, Stanley E.

    2015-11-05

    This presentation takes a look at the efforts to harness automated vehicle technology for public transport. The European CityMobil2 is the leading demonstration project in which automated shuttles were, or are planned to be, demonstrated in several cities and regions. The presentation provides a brief overview of the demonstrations at Oristano, Italy (July 2014), LaRochelle, France (Dec 2014), Lausanne, Switzerland (Apr 2015), Vantaa, Finland (July 2015), and Trikala, Greece (Sept 2015). In addition to technology exposition, the objectives included generating a legal framework for operation in each location and gaging the reaction of the public to unmanned shuttles, both of which were successfully achieved. Several such demonstrations are planned throughout the world, including efforts in North America in conjunction with the GoMentum Station in California. These early demonstration with low-speed automated shuttles provide a glimpse of the possible with a fully automated fleet of driverless vehicle providing a public transit service.

  9. Instrillment Development Multi-Spectral Automated Rotating Shadowt)and Radiometry

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Instrillment Development Multi-Spectral Automated Rotating Shadowt)and Radiometry L. Harrison Atmospheric: Sciences Research Center State University of New York at Albany Albany, NY 12205 I am developing two related instruments for use in the Atmospheric Radiation Measurement (ARM) p,rogram; both use an automated rotating shadowband technique to make spectrally resolved measurements of the direct-normal, total horizontal, and diffuse horizontal irradiances. These parameters of the sky-radiance

  10. ADVANTG 3.0.1: AutomateD VAriaNce reducTion Generator

    Energy Science and Technology Software Center

    2015-08-17

    Version 00 ADVANTG is an automated tool for generating variance reduction parameters for fixed-source continuous-energy Monte Carlo simulations with MCNP5 V1.60 (CCC-810, not included in this distribution) based on approximate 3-D multigroup discrete ordinates adjoint transport solutions generated by Denovo (included in this distribution). The variance reduction parameters generated by ADVANTG consist of space and energy-dependent weight-window bounds and biased source distributions, which are output in formats that can be directly used with unmodified versionsmore » of MCNP5. ADVANTG has been applied to neutron, photon, and coupled neutron-photon simulations of real-world radiation detection and shielding scenarios. ADVANTG is compatible with all MCNP5 geometry features and can be used to accelerate cell tallies (F4, F6, F8), surface tallies (F1 and F2), point-detector tallies (F5), and Cartesian mesh tallies (FMESH).« less

  11. MECS 2006 - Transportation Equipment | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Transportation Equipment MECS 2006 - Transportation Equipment Manufacturing Energy and Carbon Footprint for Transportation Equipment (NAICS 336) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint Transportation Equipment (121.43 KB) More Documents & Publications Transportation Equipment

  12. Transportation Research

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    transportation-research TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling Transportation Research Current Research Overview The U.S. Department of Transportation (USDOT) has established its only high-performance computing and engineering analysis research facility at Argonne National Laboratory to provide applications support in key areas of applied research and development for the USDOT community. The Transportation Research and

  13. Automated Demand Response and Commissioning

    SciTech Connect

    Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

    2005-04-01

    This paper describes the results from the second season of research to develop and evaluate the performance of new Automated Demand Response (Auto-DR) hardware and software technology in large facilities. Demand Response (DR) is a set of activities to reduce or shift electricity use to improve the electric grid reliability and manage electricity costs. Fully-Automated Demand Response does not involve human intervention, but is initiated at a home, building, or facility through receipt of an external communications signal. We refer to this as Auto-DR. The evaluation of the control and communications must be properly configured and pass through a set of test stages: Readiness, Approval, Price Client/Price Server Communication, Internet Gateway/Internet Relay Communication, Control of Equipment, and DR Shed Effectiveness. New commissioning tests are needed for such systems to improve connecting demand responsive building systems to the electric grid demand response systems.

  14. Automated nutrient analyses in seawater

    SciTech Connect

    Whitledge, T.E.; Malloy, S.C.; Patton, C.J.; Wirick, C.D.

    1981-02-01

    This manual was assembled for use as a guide for analyzing the nutrient content of seawater samples collected in the marine coastal zone of the Northeast United States and the Bering Sea. Some modifications (changes in dilution or sample pump tube sizes) may be necessary to achieve optimum measurements in very pronounced oligotrophic, eutrophic or brackish areas. Information is presented under the following section headings: theory and mechanics of automated analysis; continuous flow system description; operation of autoanalyzer system; cookbook of current nutrient methods; automated analyzer and data analysis software; computer interfacing and hardware modifications; and trouble shooting. The three appendixes are entitled: references and additional reading; manifold components and chemicals; and software listings. (JGB)

  15. Transportation and Parking

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation and Parking

  16. Radiation Transport

    SciTech Connect

    Urbatsch, Todd James

    2015-06-15

    We present an overview of radiation transport, covering terminology, blackbody raditation, opacities, Boltzmann transport theory, approximations to the transport equation. Next we introduce several transport methods. We present a section on Caseology, observing transport boundary layers. We briefly broach topics of software development, including verification and validation, and we close with a section on high energy-density experiments that highlight and support radiation transport.

  17. ,"Total Fuel Oil Expenditures

    Energy Information Administration (EIA) (indexed site)

    . Fuel Oil Expenditures by Census Region for Non-Mall Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per...

  18. ,"Total Fuel Oil Consumption

    Energy Information Administration (EIA) (indexed site)

    0. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for Non-Mall Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  19. ,"Total Fuel Oil Expenditures

    Energy Information Administration (EIA) (indexed site)

    4. Fuel Oil Expenditures by Census Region, 1999" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per Square Foot"...

  20. Total Space Heat-

    Gasoline and Diesel Fuel Update

    Commercial Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration...

  1. ,"Total Fuel Oil Expenditures

    Energy Information Administration (EIA) (indexed site)

    A. Fuel Oil Expenditures by Census Region for All Buildings, 2003" ,"Total Fuel Oil Expenditures (million dollars)",,,,"Fuel Oil Expenditures (dollars)" ,,,,,"per Gallon",,,,"per...

  2. ,"Total Fuel Oil Consumption

    Energy Information Administration (EIA) (indexed site)

    A. Fuel Oil Consumption (gallons) and Energy Intensities by End Use for All Buildings, 2003" ,"Total Fuel Oil Consumption (million gallons)",,,,,"Fuel Oil Energy Intensity...

  3. Total Space Heat-

    Gasoline and Diesel Fuel Update

    Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

  4. Total Space Heat-

    Gasoline and Diesel Fuel Update

    Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

  5. NREL: Transportation Research - Sustainable Mobility Initiative

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Mobility Initiative Graphic of four concentric circles starting with the traveler and branching out to encompass the vehicle, transport system, and built environment. NREL's Sustainable Mobility Initiative approaches sustainable transportation as a network of travelers, services, and environments-rather than just vehicles and roads-using connectivity and automation to optimize mobility and significantly reduce related energy consumption. This concept of an intelligent, integrated, and dynamic

  6. Chamber transport

    SciTech Connect

    OLSON,CRAIG L.

    2000-05-17

    Heavy ion beam transport through the containment chamber plays a crucial role in all heavy ion fusion (HIF) scenarios. Here, several parameters are used to characterize the operating space for HIF beams; transport modes are assessed in relation to evolving target/accelerator requirements; results of recent relevant experiments and simulations of HIF transport are summarized; and relevant instabilities are reviewed. All transport options still exist, including (1) vacuum ballistic transport, (2) neutralized ballistic transport, and (3) channel-like transport. Presently, the European HIF program favors vacuum ballistic transport, while the US HIF program favors neutralized ballistic transport with channel-like transport as an alternate approach. Further transport research is needed to clearly guide selection of the most attractive, integrated HIF system.

  7. Parallel Total Energy

    Energy Science and Technology Software Center

    2004-10-21

    This is a total energy electronic structure code using Local Density Approximation (LDA) of the density funtional theory. It uses the plane wave as the wave function basis set. It can sue both the norm conserving pseudopotentials and the ultra soft pseudopotentials. It can relax the atomic positions according to the total energy. It is a parallel code using MP1.

  8. LANL to certify automated influenza surveillance system

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    LANL to certify automated influenza surveillance system LANL to certify automated influenza surveillance system A compact automated system for surveillance and screening of potential pandemic strains of influenza and other deadly infectious diseases is a step closer to reality. January 31, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience,

  9. Distributed Automated Demand Response - Energy Innovation Portal

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Analysis Energy Analysis Electricity Transmission Electricity Transmission Find More Like This Return to Search Distributed Automated Demand Response Lawrence Livermore ...

  10. Sandia National Laboratories: Research: High Consequence, Automation...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    About Robotics Robotic arm With more than 25 years of experience and hundreds of ... HCAR has been developing high-consequence automation solutions for more than 25 years. ...

  11. Investigating Potential Strategies for Automating Commissioning Activities

    SciTech Connect

    Brambley, Michael R.; Briggs, Robert S.; Katipamula, Srinivas; Dasher, Carolyn; Luskay, Larry; Irvine, Linda

    2002-05-31

    This paper provides summary results from a project on automated and continuous commissioning currently underway for the Air-Conditioning & Refrigeration Technology Institute (ARTI). The project focuses on developing methods for automating parts of the commissioning of heating, ventilating and air-conditioning (HVAC) equipment in newly-built, as well as existing, commercial buildings. This paper provides a summary of work completed to date, which has focused on selecting building systems; operation problems; and parts of the commissioning process where automation is likely to provide the greatest benefits. It also includes an overview of the approach planned for development and demonstration of methods for automating the selected areas.

  12. Automation Alley Technology Center | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Alley Technology Center Jump to: navigation, search Name: Automation Alley Technology Center Place: United States Sector: Services Product: General Financial & Legal Services (...

  13. Sandia National Laboratories: Research: High Consequence, Automation...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    team knew they needed a robot for the job and called Sandia's High Consequence, Automation, & Robotics (HCAR) team. Mighty Mouse Challenge Typically the cylinder moved back...

  14. Automated diagnostic kiosk for diagnosing diseases (Patent) ...

    Office of Scientific and Technical Information (OSTI)

    contained within a collection vial into the apparatus for automated diagnostic services. ... Save Share this Record Citation Formats MLA APA Chicago Bibtex Export Metadata Endnote ...

  15. Volttron Implementation: Automated Fault Detection and Diagnosis...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    through increased automation Value Plug-and-play implementation * Minimal upfront ... BACnet Driver Getting Data 12 * Configuration tool automatically detects BACnet ...

  16. Ditec Automation Group | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Name: Ditec Automation Group Place: Mexico City, Mexico Product: Mexico City-based manufacturing and installation company. Focused on material handling, industrial ovens,...

  17. Automated High Throughput Drug Target Crystallography

    SciTech Connect

    Rupp, B

    2005-02-18

    The molecular structures of drug target proteins and receptors form the basis for 'rational' or structure guided drug design. The majority of target structures are experimentally determined by protein X-ray crystallography, which as evolved into a highly automated, high throughput drug discovery and screening tool. Process automation has accelerated tasks from parallel protein expression, fully automated crystallization, and rapid data collection to highly efficient structure determination methods. A thoroughly designed automation technology platform supported by a powerful informatics infrastructure forms the basis for optimal workflow implementation and the data mining and analysis tools to generate new leads from experimental protein drug target structures.

  18. Substation automation gains momentum with modern options

    SciTech Connect

    Beaty, W.

    1996-12-01

    This paper discusses issues associated with utility substation automation. Monitoring equipment for monitoring power flow, quality, and harmonics for three substations simultaneously is described.

  19. Summary Max Total Units

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Summary Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water

  20. Total Space Heat-

    Gasoline and Diesel Fuel Update

    Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

  1. ARM - Measurement - Total carbon

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    carbon ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total carbon The total concentration of carbon in all its organic and non-organic forms. Categories Atmospheric Carbon, Aerosols Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including

  2. Automated Centrifugal Chiller Diagnostician - Energy Innovation Portal

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Analysis Energy Analysis Find More Like This Return to Search Automated Centrifugal Chiller Diagnostician Pacific Northwest National Laboratory Contact PNNL About This Technology Centrifugal chiller display Centrifugal chiller display Typical diagnostic display Typical diagnostic display Technology Marketing Summary Researchers and engineers at PNNL have developed an automated, sophisticated, multi-level, real-time centrifugal chiller diagnostician with diagnostics available under partial

  3. Automated Nuclear Data Test Suite

    Energy Science and Technology Software Center

    2013-01-09

    Provides python routines to create a database of test problems in a user-defined directory tree, to query the database using user-defined parameters, to generate a list of test urns, to automatically run with user-defined particle transport codes. Includes natural isotope abundance data, and a table of benchmark effective for fast critical assemblies. Does not include input decks, cross-section libraries, or particle transport codes.

  4. EBS Radionuclide Transport Abstraction

    SciTech Connect

    J. Prouty

    2006-07-14

    The purpose of this report is to develop and analyze the engineered barrier system (EBS) radionuclide transport abstraction model, consistent with Level I and Level II model validation, as identified in Technical Work Plan for: Near-Field Environment and Transport: Engineered Barrier System: Radionuclide Transport Abstraction Model Report Integration (BSC 2005 [DIRS 173617]). The EBS radionuclide transport abstraction (or EBS RT Abstraction) is the conceptual model used in the total system performance assessment (TSPA) to determine the rate of radionuclide releases from the EBS to the unsaturated zone (UZ). The EBS RT Abstraction conceptual model consists of two main components: a flow model and a transport model. Both models are developed mathematically from first principles in order to show explicitly what assumptions, simplifications, and approximations are incorporated into the models used in the TSPA. The flow model defines the pathways for water flow in the EBS and specifies how the flow rate is computed in each pathway. Input to this model includes the seepage flux into a drift. The seepage flux is potentially split by the drip shield, with some (or all) of the flux being diverted by the drip shield and some passing through breaches in the drip shield that might result from corrosion or seismic damage. The flux through drip shield breaches is potentially split by the waste package, with some (or all) of the flux being diverted by the waste package and some passing through waste package breaches that might result from corrosion or seismic damage. Neither the drip shield nor the waste package survives an igneous intrusion, so the flux splitting submodel is not used in the igneous scenario class. The flow model is validated in an independent model validation technical review. The drip shield and waste package flux splitting algorithms are developed and validated using experimental data. The transport model considers advective transport and diffusive transport

  5. Substation automation -- a ``bottoms up`` approach

    SciTech Connect

    Thomas, J.

    1996-10-01

    The proliferation of multi-purpose intelligent electronic devices in substations brought the availability of abundant and often overlapping data at the substation. This data can be used for improving the operation and maintenance of the substations and the entire power system. The objective of substation automation is to use technology to gather, consolidate and utilize this data for increasing the efficiency of power system operation and maintenance. Often automation functions are developed and offered around the capabilities of the preferred hardware and software of the integrator. Emphasis is placed on hardware, software and communication protocols rather than need, methodology and application. This can result in over-automation with complex, expensive and ineffective systems, or under-automation that fails to achieve the user`s objectives. The objective is to select appropriate hardware, software and methodology to build the most cost effective system to get the desired results. This paper describes steps to ensure the successful implementation of substation automation.

  6. Total DOE/NNSA

    National Nuclear Security Administration (NNSA)

    8 Actuals 2009 Actuals 2010 Actuals 2011 Actuals 2012 Actuals 2013 Actuals 2014 Actuals 2015 Actuals Total DOE/NNSA 4,385 4,151 4,240 4,862 5,154 5,476 7,170 7,593 Total non-NNSA 3,925 4,017 4,005 3,821 3,875 3,974 3,826 3765 Total Facility 8,310 8,168 8,245 8,683 9,029 9,450 10,996 11,358 non-NNSA includes DOE offices and Strategic Parternship Projects (SPP) employees NNSA M&O Employee Reporting

  7. Beam Transport

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Beam Transport A simplified drawing of the beam transport system from the linac to Target-1 (Lujan Center), Target-2 (Blue Room) and Target-4 is shown below. In usual operation ...

  8. Multiplex automated genome engineering (Patent) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Title: Multiplex automated genome engineering The present invention relates to automated methods of introducing multiple nucleic acid sequences into one or more target cells. ...

  9. Reference Model for Control and Automation Systems in Electrical...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Reference Model for Control and Automation Systems in Electrical Power Version 1.2 October ... all automation elements for the electrical infrastructure: EMS, protective ...

  10. Reference Model for Control and Automation Systems in Electrical...

    Office of Environmental Management (EM)

    Model for Control and Automation Systems in Electrical Power (October 2005) Reference Model for Control and Automation Systems in Electrical Power (October 2005) Modern ...

  11. National SCADA Test Bed Substation Automation Evaluation Report...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: National SCADA Test Bed Substation Automation Evaluation Report Citation Details In-Document Search Title: National SCADA Test Bed Substation Automation ...

  12. Multiplex automated genome engineering Church, George M; Wang...

    Office of Scientific and Technical Information (OSTI)

    Multiplex automated genome engineering Church, George M; Wang, Harris H; Isaacs, Farren J The present invention relates to automated methods of introducing multiple nucleic acid...

  13. DA (Distribution Automation) (Smart Grid Project) | Open Energy...

    OpenEI (Open Energy Information) [EERE & EIA]

    DA (Distribution Automation) (Smart Grid Project) Jump to: navigation, search Project Name DA (Distribution Automation) Country Netherlands Coordinates 52.132633, 5.291266...

  14. Belden Deutschland GmbH Lumberg Automation | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Belden Deutschland GmbH Lumberg Automation Jump to: navigation, search Name: Belden Deutschland GmbH - Lumberg Automation Place: Schalksmuhle, North Rhine-Westphalia, Germany Zip:...

  15. Automated Vehicle Policy and Regulation: A State Perspective...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Automated Vehicle Policy and Regulation: A State Perspective Workshop Summary Edited by ... * www.nrel.gov Automated Vehicle Policy and Regulation: A State Perspective ...

  16. National SCADA Test Bed Substation Automation Evaluation Report...

    Office of Scientific and Technical Information (OSTI)

    National SCADA Test Bed Substation Automation Evaluation Report Citation Details In-Document Search Title: National SCADA Test Bed Substation Automation Evaluation Report You ...

  17. Hirschmann Automation and Control GmbH | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Hirschmann Automation and Control GmbH Jump to: navigation, search Name: Hirschmann Automation and Control GmbH Place: Neckartenzlingen, Baden-Wrttemberg, Germany Zip: 72654...

  18. U-047: Siemens Automation License Manager Bugs Let Remote Users...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    7: Siemens Automation License Manager Bugs Let Remote Users Deny Service or Execute Arbitrary Code U-047: Siemens Automation License Manager Bugs Let Remote Users Deny Service or...

  19. Highly Insulating Residential Windows Using Smart Automated Shading...

    Office of Environmental Management (EM)

    Highly Insulating Residential Windows Using Smart Automated Shading Highly Insulating Residential Windows Using Smart Automated Shading Addthis 1 of 3 Residential Smart Window with ...

  20. Global health response more accurate with automated influenza...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Global health response more accurate with automated influenza surveillance Global health response more accurate with automated influenza surveillance Public health officials will...

  1. Microsoft Word - Wireless Automation World for OE FINAL.doc

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Automation World Features New White Paper on Wireless Security, Interviews Authors April 16, 2009 The April 2009 issue of Automation World magazine features the white paper ...

  2. Automated Fresnel lens tester system

    SciTech Connect

    Phipps, G.S.

    1981-07-01

    An automated data collection system controlled by a desktop computer has been developed for testing Fresnel concentrators (lenses) intended for solar energy applications. The system maps the two-dimensional irradiance pattern (image) formed in a plane parallel to the lens, whereas the lens and detector assembly track the sun. A point detector silicon diode (0.5-mm-dia active area) measures the irradiance at each point of an operator-defined rectilinear grid of data positions. Comparison with a second detector measuring solar insolation levels results in solar concentration ratios over the image plane. Summation of image plane energies allows calculation of lens efficiencies for various solar cell sizes. Various graphical plots of concentration ratio data help to visualize energy distribution patterns.

  3. WIPP Transportation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transuranic Waste Transportation Container Documents Documents related to transuranic waste containers and packages. CBFO Tribal Program Information about WIPP shipments across tribal lands. Transportation Centralized Procurement Program - The Centralized Procurement Program provides a common method to procure standard items used in the packaging and handling of transuranic wasted destined for WIPP. Transuranic Waste Transportation Routes - A map showing transuranic waste generator sites and

  4. Highly insulating Residential Windows Using Smart Automated Shading

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Christian Kohler, cjkohler@lbl.gov Steve Selkowitz, seselkowitz@lbl.gov Lawrence Berkeley National Laboratory Highly insulating Residential Windows Using Smart Automated Shading 2014 Building Technologies Office Peer Review 2 Project Summary Timeline: Start date: 4/1/2013 Planned end date: 3/31/2016 Key Milestones 1. Window designs meeting FOA targets 9/30/2013 2. Prototype window with integrated sensors, ENERGY STAR level performance 12/31/2013 Budget: Total DOE $ to date: $783k (FY13-FY14)

  5. 21 briefing pages total

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law

  6. Thermal battery automated assembly station conceptual design

    SciTech Connect

    Jacobs, D.

    1988-08-01

    Thermal battery assembly involves many operations which are labor- intense. In August 1986, a project team was formed at GE Neutron Devices to investigate and evaluate more efficient and productive battery assembly techniques through the use of automation. The result of this study was the acceptance of a plan to automate the piece part pellet fabrication and battery stacking operations by using computerized pellet presses and robots which would be integrated by a main computer. This report details the conceptual design and development plan to be followed in the fabrication, development, and implementation of a thermal battery automated assembly station. 4 figs., 8 tabs.

  7. Automation of MCDOR at NMT-3 Los Alamos National Laboratory. Final report

    SciTech Connect

    Shahinpoor, M.

    1997-01-01

    The automation of various parts of multiple--cycle direct oxide reduction (MCDOR) at LANL`s NMT-3 was the goal of this research and development activities. In particular, originally the following goals were assigned to the author by the NMT-3 technical staff leaders (Greg Bird, Jim McNeese, Joel Williams): (1) Design and fabricate an automation set up; (2) Step-wise automation is preferred; (3) Step 1 involves automatic metering and mixing of powders; and (4) Step 2-automatic transport of powder to furnace location The initial task assigned in May 91 was to get the appropriate design developed and order equipment and parts to automatically weight powders. In fact the work statement read {open_quotes}Create an experimental automation set up in the ME Department at UNM to automatically weigh powders using an electronic balance. Further, design the set up such that the electronic balance is reprogrammable for specific weight set points. Thus, when a set point in weight is reached by means of a vibratory feeder feeding a container on the balance, the electronic balance will send an electronic signal out to switch off the vibratory feeder{close_quotes}. The automation of the reduction of plutonium oxide to plutonium is described.

  8. Fueling Robot Automates Hydrogen Hose Reliability Testing (Fact Sheet)

    SciTech Connect

    Harrison, K.

    2014-01-01

    Automated robot mimics fueling action to test hydrogen hoses for durability in real-world conditions.

  9. DOE EVMS Interpretation Handbook Test Automation | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    EVMS Interpretation Handbook Test Automation DOE EVMS Interpretation Handbook Test Automation DOE EVMSIH Test Automation (2.34 MB) Key Resources Internal DOE Tools PMCDP EVMS PARS IIe FPD Resource Center PM Newsletter Forms and Templates More Documents & Publications DOE EVMSIH and Pilot DOE EVMS Interpretation Handbook Test Automation EVMS Interpretation Handbook 2.0 Update EVMS Self Governance

  10. MASS: An automated accountability system

    SciTech Connect

    Erkkila, B.H.; Kelso, F.

    1994-08-01

    All Department of Energy contractors who manage accountable quantities of nuclear materials are required to implement an accountability system that tracks, and records the activities associated with those materials. At Los Alamos, the automated accountability system allows data entry on computer terminals and data base updating as soon as the entry is made. It is also able to generate all required reports in a timely Fashion. Over the last several years, the hardware and software have been upgraded to provide the users with all the capability needed to manage a large variety of operations with a wide variety of nuclear materials. Enhancements to the system are implemented as the needs of the users are identified. The system has grown with the expanded needs of the user; and has survived several years of changing operations and activity. The user community served by this system includes processing, materials control and accountability, and nuclear material management personnel. In addition to serving the local users, the accountability system supports the national data base (NMMSS). This paper contains a discussion of several details of the system design and operation. After several years of successful operation, this system provides an operating example of how computer systems can be used to manage a very dynamic data management problem.

  11. Automated Parallel Capillary Electrophoretic System

    DOEpatents

    Li, Qingbo; Kane, Thomas E.; Liu, Changsheng; Sonnenschein, Bernard; Sharer, Michael V.; Kernan, John R.

    2000-02-22

    An automated electrophoretic system is disclosed. The system employs a capillary cartridge having a plurality of capillary tubes. The cartridge has a first array of capillary ends projecting from one side of a plate. The first array of capillary ends are spaced apart in substantially the same manner as the wells of a microtitre tray of standard size. This allows one to simultaneously perform capillary electrophoresis on samples present in each of the wells of the tray. The system includes a stacked, dual carousel arrangement to eliminate cross-contamination resulting from reuse of the same buffer tray on consecutive executions from electrophoresis. The system also has a gel delivery module containing a gel syringe/a stepper motor or a high pressure chamber with a pump to quickly and uniformly deliver gel through the capillary tubes. The system further includes a multi-wavelength beam generator to generate a laser beam which produces a beam with a wide range of wavelengths. An off-line capillary reconditioner thoroughly cleans a capillary cartridge to enable simultaneous execution of electrophoresis with another capillary cartridge. The streamlined nature of the off-line capillary reconditioner offers the advantage of increased system throughput with a minimal increase in system cost.

  12. Greening Transportation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation Goal 2: Greening Transportation LANL supports and encourages employees to reduce their personal greenhouse gas emissions by offering various commuting and work schedule options. Our goal is to reduce emissions related to employee travel and commuting to and from work by 13 percent. Energy Conservation» Efficient Water Use & Management» High Performance Sustainable Buildings» Greening Transportation» Green Purchasing & Green Technology» Pollution Prevention» Science

  13. Scientific Process Automation Improves Data Interaction

    SciTech Connect

    Critchlow, Terence J.

    2009-09-30

    This is an article written for the September 09 Scientific Computing magazine about the work of the Scientific Process Automation team of The U.S. Department of Energy (DOE) Scientific Discovery through Advanced Computing (SciDAC) program. The SPA team is focused on developing and deploying automated workflows for a variety of computational science domains. Scientific workflows are the formalization of a scientific process that is frequently and repetitively performed.

  14. Sustainable Transportation

    SciTech Connect

    2012-09-01

    This document highlights DOE's Office of Energy Efficiency and Renewable Energy's advancements in transportation technologies, alternative fuels, and fuel cell technologies.

  15. Open Automated Demand Response for Small Commerical Buildings

    SciTech Connect

    Dudley, June Han; Piette, Mary Ann; Koch, Ed; Hennage, Dan

    2009-05-01

    This report characterizes small commercial buildings by market segments, systems and end-uses; develops a framework for identifying demand response (DR) enabling technologies and communication means; and reports on the design and development of a low-cost OpenADR enabling technology that delivers demand reductions as a percentage of the total predicted building peak electric demand. The results show that small offices, restaurants and retail buildings are the major contributors making up over one third of the small commercial peak demand. The majority of the small commercial buildings in California are located in southern inland areas and the central valley. Single-zone packaged units with manual and programmable thermostat controls make up the majority of heating ventilation and air conditioning (HVAC) systems for small commercial buildings with less than 200 kW peak electric demand. Fluorescent tubes with magnetic ballast and manual controls dominate this customer group's lighting systems. There are various ways, each with its pros and cons for a particular application, to communicate with these systems and three methods to enable automated DR in small commercial buildings using the Open Automated Demand Response (or OpenADR) communications infrastructure. Development of DR strategies must consider building characteristics, such as weather sensitivity and load variability, as well as system design (i.e. under-sizing, under-lighting, over-sizing, etc). Finally, field tests show that requesting demand reductions as a percentage of the total building predicted peak electric demand is feasible using the OpenADR infrastructure.

  16. Automating linear accelerator quality assurance

    SciTech Connect

    Eckhause, Tobias; Thorwarth, Ryan; Moran, Jean M.; Al-Hallaq, Hania; Farrey, Karl; Ritter, Timothy; DeMarco, John; Pawlicki, Todd; Kim, Gwe-Ya; Popple, Richard; Sharma, Vijeshwar; Park, SungYong; Perez, Mario; Booth, Jeremy T.

    2015-10-15

    Purpose: The purpose of this study was 2-fold. One purpose was to develop an automated, streamlined quality assurance (QA) program for use by multiple centers. The second purpose was to evaluate machine performance over time for multiple centers using linear accelerator (Linac) log files and electronic portal images. The authors sought to evaluate variations in Linac performance to establish as a reference for other centers. Methods: The authors developed analytical software tools for a QA program using both log files and electronic portal imaging device (EPID) measurements. The first tool is a general analysis tool which can read and visually represent data in the log file. This tool, which can be used to automatically analyze patient treatment or QA log files, examines the files for Linac deviations which exceed thresholds. The second set of tools consists of a test suite of QA fields, a standard phantom, and software to collect information from the log files on deviations from the expected values. The test suite was designed to focus on the mechanical tests of the Linac to include jaw, MLC, and collimator positions during static, IMRT, and volumetric modulated arc therapy delivery. A consortium of eight institutions delivered the test suite at monthly or weekly intervals on each Linac using a standard phantom. The behavior of various components was analyzed for eight TrueBeam Linacs. Results: For the EPID and trajectory log file analysis, all observed deviations which exceeded established thresholds for Linac behavior resulted in a beam hold off. In the absence of an interlock-triggering event, the maximum observed log file deviations between the expected and actual component positions (such as MLC leaves) varied from less than 1% to 26% of published tolerance thresholds. The maximum and standard deviations of the variations due to gantry sag, collimator angle, jaw position, and MLC positions are presented. Gantry sag among Linacs was 0.336 ± 0.072 mm. The

  17. Automated and Cooperative Vehicle Merging at Highway On-Ramps

    DOE PAGES [OSTI]

    Rios-Torres, Jackeline; Malikopoulos, Andreas A.

    2016-08-05

    Recognition of necessities of connected and automated vehicles (CAVs) is gaining momentum. CAVs can improve both transportation network efficiency and safety through control algorithms that can harmonically use all existing information to coordinate the vehicles. This paper addresses the problem of optimally coordinating CAVs at merging roadways to achieve smooth traffic flow without stop-and-go driving. Here we present an optimization framework and an analytical closed-form solution that allows online coordination of vehicles at merging zones. The effectiveness of the efficiency of the proposed solution is validated through a simulation, and it is shown that coordination of vehicles can significantly reducemore » both fuel consumption and travel time.« less

  18. Transportation Energy Futures Analysis Snapshot

    Energy.gov [DOE]

    Transportation currently accounts for 71% of total U.S. petroleum use and 33% of the nation's total carbon emissions. The TEF project explores how combining multiple strategies could reduce GHG emissions and petroleum use by 80%. Researchers examined four key areas – lightduty vehicles, non-light-duty vehicles, fuels, and transportation demand – in the context of the marketplace, consumer behavior, industry capabilities, technology and the energy and transportation infrastructure. The TEF reports support DOE long-term planning. The reports provide analysis to inform decisions about transportation energy research investments, as well as the role of advanced transportation energy technologies and systems in the development of new physical, strategic, and policy alternatives.

  19. Automated Sorting of Transuranic Waste

    SciTech Connect

    Shurtliff, Rodney Marvin

    2001-03-01

    The HANDSS-55 Transuranic Waste Sorting Module is designed to sort out items found in 55-gallon drums of waste as determined by an operator. Innovative imaging techniques coupled with fast linear motor-based motion systems and a flexible end-effector system allow the operator to remove items from the waste stream by a touch of the finger. When all desired items are removed from the waste stream, the remaining objects are automatically moved to a repackaging port for removal from the glovebox/cell. The Transuranic Waste Sorting Module consists of 1) a high accuracy XYZ Stereo Measurement and Imaging system, 2) a vibrating/tilting sorting table, 3) an XY Deployment System, 4) a ZR Deployment System, 5) several user-selectable end-effectors, 6) a waste bag opening system, 7) control and instrumentation, 8) a noncompliant waste load-out area, and 9) a Human/Machine Interface (HMI). The system is modular in design to accommodate database management tools, additional load-out ports, and other enhancements. Manually sorting the contents of a 55-gallon drum takes about one day per drum. The HANDSS-55 Waste Sorting Module is designed to significantly increase the throughput of this sorting process by automating those functions that are strenuous and tiresome for an operator to perform. The Waste Sorting Module uses the inherent ability of an operator to identify the items that need to be segregated from the waste stream and then, under computer control, picks that item out of the waste and deposits it in the appropriate location. The operator identifies the object by locating the visual image on a large color display and touches the image on the display with his finger. The computer then determines the location of the object, and performing a highspeed image analysis determines its size and orientation, so that a robotic gripper can be deployed to pick it up. Following operator verification by voice or function key, the object is deposited into a specified location.

  20. Transportation Energy

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Algae Raceway to speed path to biofuels News, Transportation Energy Algae Raceway to speed path to biofuels With the aim of transforming algae into a cost-competitive biofuel, ...

  1. Transportation Fuels

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation Fuels DOE would invest $52 million to fund a major fleet transformation at Idaho National Laboratory, along with the installation of nine fuel management systems, purchase of additional flex fuel cars and one E85 ethanol fueling station. Transportation projects, such as the acquisition of highly efficient and alternative-fuel vehicles, are not authorized by ESPC legislation. DOE has twice proportion of medium vehicles and three times as many heavy vehicles as compared to the

  2. Transportation | NREL

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation NREL's transportation infrastructure and programs are designed to significantly reduce petroleum use campus-wide. This infographic shows NREL's FY2015 fleet performance and fleet vehicle history compared to baseline FY 2005 and FY 2014. Petroleum fuel use decreased 28% from 2014 and increased 17% from baseline 2005. Alternative fuel use increased 53% from 2014 and increased 127% from baseline 2005. In baseline 2005, the fleet used 6,521 gasoline gallon equivalent (GGE) of E-85, in

  3. Automated imaging system for single molecules

    DOEpatents

    Schwartz, David Charles; Runnheim, Rodney; Forrest, Daniel

    2012-09-18

    There is provided a high throughput automated single molecule image collection and processing system that requires minimal initial user input. The unique features embodied in the present disclosure allow automated collection and initial processing of optical images of single molecules and their assemblies. Correct focus may be automatically maintained while images are collected. Uneven illumination in fluorescence microscopy is accounted for, and an overall robust imaging operation is provided yielding individual images prepared for further processing in external systems. Embodiments described herein are useful in studies of any macromolecules such as DNA, RNA, peptides and proteins. The automated image collection and processing system and method of same may be implemented and deployed over a computer network, and may be ergonomically optimized to facilitate user interaction.

  4. EBS Radionuclide Transport Abstraction

    SciTech Connect

    J.D. Schreiber

    2005-08-25

    The purpose of this report is to develop and analyze the engineered barrier system (EBS) radionuclide transport abstraction model, consistent with Level I and Level II model validation, as identified in ''Technical Work Plan for: Near-Field Environment and Transport: Engineered Barrier System: Radionuclide Transport Abstraction Model Report Integration'' (BSC 2005 [DIRS 173617]). The EBS radionuclide transport abstraction (or EBS RT Abstraction) is the conceptual model used in the total system performance assessment for the license application (TSPA-LA) to determine the rate of radionuclide releases from the EBS to the unsaturated zone (UZ). The EBS RT Abstraction conceptual model consists of two main components: a flow model and a transport model. Both models are developed mathematically from first principles in order to show explicitly what assumptions, simplifications, and approximations are incorporated into the models used in the TSPA-LA. The flow model defines the pathways for water flow in the EBS and specifies how the flow rate is computed in each pathway. Input to this model includes the seepage flux into a drift. The seepage flux is potentially split by the drip shield, with some (or all) of the flux being diverted by the drip shield and some passing through breaches in the drip shield that might result from corrosion or seismic damage. The flux through drip shield breaches is potentially split by the waste package, with some (or all) of the flux being diverted by the waste package and some passing through waste package breaches that might result from corrosion or seismic damage. Neither the drip shield nor the waste package survives an igneous intrusion, so the flux splitting submodel is not used in the igneous scenario class. The flow model is validated in an independent model validation technical review. The drip shield and waste package flux splitting algorithms are developed and validated using experimental data. The transport model considers

  5. Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis

    SciTech Connect

    Ekechukwu, A.A.

    2002-05-10

    Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

  6. U.S. Total Exports

    Energy Information Administration (EIA) (indexed site)

    Total To Barbados Total To Brazil Freeport, TX Sabine Pass, LA Total to Canada Eastport, ID Calais, ME Detroit, MI Marysville, MI Port Huron, MI Crosby, ND Portal, ND Sault St. Marie, MI St. Clair, MI Noyes, MN Warroad, MN Babb, MT Havre, MT Port of Morgan, MT Sherwood, ND Pittsburg, NH Buffalo, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to Egypt Freeport, TX Total to

  7. U.S. Total Exports

    Energy Information Administration (EIA) (indexed site)

    Sabine Pass, LA Total To Barbados Miami, FL Total To Brazil Freeport, TX Sabine Pass, LA Total to Canada Eastport, ID Calais, ME Detroit, MI Marysville, MI Port Huron, MI Portal, ND Sault St. Marie, MI St. Clair, MI Noyes, MN Babb, MT Havre, MT Port of Morgan, MT Sherwood, ND Pittsburg, NH Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to Dominican Republic Sabine Pass, LA Total

  8. Preliminary Framework for Human-Automation Collaboration

    SciTech Connect

    Oxstrand, Johanna Helene; Le Blanc, Katya Lee; Spielman, Zachary Alexander

    2015-09-01

    The Department of Energy’s Advanced Reactor Technologies Program sponsors research, development and deployment activities through its Next Generation Nuclear Plant, Advanced Reactor Concepts, and Advanced Small Modular Reactor (aSMR) Programs to promote safety, technical, economical, and environmental advancements of innovative Generation IV nuclear energy technologies. The Human Automation Collaboration (HAC) Research Project is located under the aSMR Program, which identifies developing advanced instrumentation and controls and human-machine interfaces as one of four key research areas. It is expected that the new nuclear power plant designs will employ technology significantly more advanced than the analog systems in the existing reactor fleet as well as utilizing automation to a greater extent. Moving towards more advanced technology and more automation does not necessary imply more efficient and safer operation of the plant. Instead, a number of concerns about how these technologies will affect human performance and the overall safety of the plant need to be addressed. More specifically, it is important to investigate how the operator and the automation work as a team to ensure effective and safe plant operation, also known as the human-automation collaboration (HAC). The focus of the HAC research is to understand how various characteristics of automation (such as its reliability, processes, and modes) effect an operator’s use and awareness of plant conditions. In other words, the research team investigates how to best design the collaboration between the operators and the automated systems in a manner that has the greatest positive impact on overall plant performance and reliability. This report addresses the Department of Energy milestone M4AT-15IN2302054, Complete Preliminary Framework for Human-Automation Collaboration, by discussing the two phased development of a preliminary HAC framework. The framework developed in the first phase was used as the

  9. Beyond Commissioning: The Role of Automation

    SciTech Connect

    Brambley, Michael R.; Katipamula, Srinivas

    2005-02-01

    This article takes a brief look at the benefits of commissioning and describes a vision of the future where most of the objectives of commissioning will be accomplished automatically by capabilities built into the building systems themselves. Commissioning will become an activity that's performed continuously rather than periodically, and only repairs requiring replacement or overhaul of equipment will require manual intervention. The article then identifies some of the technologies that will be needed to realize this vision and ends with a call for all involved in the enterprise of building commissioning and automation to embrace and dedicate themselves to a future of automated commissioning.

  10. Middleware Automated Deployment Utilities - MRW Suite

    SciTech Connect

    Anderson, Mathew; Bowen, Brian; Coles, Dwight; Cleal, Thomas; Quarles, Elliott; Gurule, Kaitlyn; Kagie, Matthew

    2014-09-18

    The Middleware Automated Deployment Utilities consists the these three components: MAD: Utility designed to automate the deployment of java applications to multiple java application servers. The product contains a front end web utility and backend deployment scripts. MAR: Web front end to maintain and update the components inside database. MWR-Encrypt: Web utility to convert a text string to an encrypted string that is used by the Oracle Weblogic application server. The encryption is done using the built in functions if the Oracle Weblogic product and is mainly used to create an encrypted version of a database password.

  11. Middleware Automated Deployment Utilities - MRW Suite

    Energy Science and Technology Software Center

    2014-09-18

    The Middleware Automated Deployment Utilities consists the these three components: MAD: Utility designed to automate the deployment of java applications to multiple java application servers. The product contains a front end web utility and backend deployment scripts. MAR: Web front end to maintain and update the components inside database. MWR-Encrypt: Web utility to convert a text string to an encrypted string that is used by the Oracle Weblogic application server. The encryption is done usingmore » the built in functions if the Oracle Weblogic product and is mainly used to create an encrypted version of a database password.« less

  12. NREL: Transportation Research - Transportation News

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation News The following news stories highlight transportation research at NREL. November 4, 2016 NREL Technologies Honored at R&D 100 Awards Ceremony Research teams honored for advances in residential buildings, energy storage testing and power inverters November 1, 2016 NREL Issued Patent for Award-Winning Isothermal Battery Calorimeters The National Renewable Energy Laboratory (NREL) was recently issued a patent for its R&D 100 Award-winning Isothermal Battery Calorimeters

  13. KSL Kuttler Automation Systems GmbH | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    KSL Kuttler Automation Systems GmbH Jump to: navigation, search Name: KSL-Kuttler Automation Systems GmbH Place: Dauchingen, Baden-Wrttemberg, Germany Zip: 78083 Sector: Solar...

  14. U.S. Customs and Border Protection (CBP) Announces Automation...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Customs and Border Protection (CBP) Announces Automation of Form I-94 ArrivalDeparture Record U.S. Customs and Border Protection (CBP) will begin automation of the I-94 records on...

  15. V-132: IBM Tivoli System Automation Application Manager Multiple

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Vulnerabilities | Department of Energy 2: IBM Tivoli System Automation Application Manager Multiple Vulnerabilities V-132: IBM Tivoli System Automation Application Manager Multiple Vulnerabilities April 12, 2013 - 6:00am Addthis PROBLEM: IBM has acknowledged multiple vulnerabilities in IBM Tivoli System Automation Application Manager PLATFORM: The vulnerabilities are reported in IBM Tivoli System Automation Application Manager versions 3.1, 3.2, 3.2.1, and 3.2.2 ABSTRACT: Multiple security

  16. Classified Automated Information System Security Program

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1994-07-15

    To establish uniform requirements, policies, responsibilities, and procedures for the development and implementation of a Department of Energy (DOE) Classified Computer Security Program to ensure the security of classified information in automated data processing (ADP) systems. Cancels DOE O 5637.1. Canceled by DOE O 471.2.

  17. Raexplore: Enabling Rapid, Automated Architecture Exploration

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Raexplore: Enabling Rapid, Automated Architecture Exploration for Full Applications Yao Zhang, Prasanna Balaprakash, Jiayuan Meng, Vitali Morozov, Scott Parker, and Kalyan Kumaran Argonne National Laboratory {yaozhang, pbalapra, jmeng, morozov, sparker, kumaran}@anl.gov Abstract We present Raexplore, a performance modeling framework for architecture exploration. Raexplore enables rapid, auto- mated, and systematic search of architecture design space by combining hardware counter-based

  18. Apparatus for automated testing of biological specimens

    DOEpatents

    Layne, Scott P.; Beugelsdijk, Tony J.

    1999-01-01

    An apparatus for performing automated testing of infections biological specimens is disclosed. The apparatus comprise a process controller for translating user commands into test instrument suite commands, and a test instrument suite comprising a means to treat the specimen to manifest an observable result, and a detector for measuring the observable result to generate specimen test results.

  19. Total Eolica | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Eolica Jump to: navigation, search Name: Total Eolica Place: Spain Product: Project developer References: Total Eolica1 This article is a stub. You can help OpenEI by expanding...

  20. Automation of Capacity Bidding with an Aggregator Using Open Automated Demand Response

    SciTech Connect

    Kiliccote, Sila; Piette, Mary Ann

    2008-10-01

    This report summarizes San Diego Gas& Electric Company?s collaboration with the Demand Response Research Center to develop and test automation capability for the Capacity Bidding Program in 2007. The report describes the Open Automated Demand Response architecture, summarizes the history of technology development and pilot studies. It also outlines the Capacity Bidding Program and technology being used by an aggregator that participated in this demand response program. Due to delays, the program was not fully operational for summer 2007. However, a test event on October 3, 2007, showed that the project successfully achieved the objective to develop and demonstrate how an open, Web?based interoperable automated notification system for capacity bidding can be used by aggregators for demand response. The system was effective in initiating a fully automated demand response shed at the aggregated sites. This project also demonstrated how aggregators can integrate their demand response automation systems with San Diego Gas& Electric Company?s Demand Response Automation Server and capacity bidding program.

  1. Total

    Energy Information Administration (EIA) (indexed site)

    1,001 to 5,000 2,777 8,041 10,232 2.9 786 56 5,001 to 10,000 1,229 8,900 9,225 7.2 965 62 10,001 to 25,000 884 14,105 14,189 16.0 994 65 25,001 to 50,000 332 11,917 11,327 35.9 1,052 72 50,001 to 100,000 199 13,918 12,345 69.9 1,127 80 100,001 to 200,000 90 12,415 11,310 137.9 1,098 89 200,001 to 500,000 38 10,724 10,356 284.2 1,035 99 Over 500,000 8 7,074 9,196 885.0 769 117 Principal building activity Education 389 12,239 10,885 31.5 1,124 53 Food sales 177 1,252 1,172 7.1 1,067 121 Food

  2. Total

    Energy Information Administration (EIA) (indexed site)

    1,001 to 5,000 2,777 8,041 10,232 2.9 786 56 5,001 to 10,000 1,229 8,900 9,225 7.2 965 62 10,001 to 25,000 884 14,105 14,189 16.0 994 65 25,001 to 50,000 332 11,917 11,327 35.9 1,052 72 50,001 to 100,000 199 13,918 12,345 69.9 1,127 80 100,001 to 200,000 90 12,415 11,310 137.9 1,098 89 200,001 to 500,000 38 10,724 10,356 284.2 1,035 99 Over 500,000 8 7,074 9,196 885.0 769 117 Principal building activity Education 389 12,239 10,885 31.5 1,124 53 Food sales 177 1,252 1,172 7.1 1,067 121 Food

  3. Total

    Energy Information Administration (EIA) (indexed site)

    Median square feet per building (thousand) Median square feet per worker Median operating hours per week Median age of buildings (years) All buildings 5,557 87,093 88,182 5.0 1,029 50 32 Building floorspace (square feet) 1,001 to 5,000 2,777 8,041 10,232 2.8 821 49 37 5,001 to 10,000 1,229 8,900 9,225 7.0 1,167 50 31 10,001 to 25,000 884 14,105 14,189 15.0 1,444 56 32 25,001 to 50,000 332 11,917 11,327 35.0 1,461 60 29 50,001 to 100,000 199 13,918 12,345 67.0 1,442 60 26 100,001 to 200,000 90

  4. Total

    Gasoline and Diesel Fuel Update

    Fuel Oil, Greater than 500 ppm Sulfur Residual Fuel Oil Lubricants Asphalt and Road Oil Other Products Period: Annual (as of January 1) Download Series History Download ...

  5. Total

    Gasoline and Diesel Fuel Update

    of photovoltaic module shipments, 2015 (peak kilowatts) Source Disposition Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic CellModule ...

  6. Total..........................................................

    Energy Information Administration (EIA) (indexed site)

    ... Housing Units (millions) UrbanRural Location (as Self-Reported) Living Space ... Housing Units (millions) UrbanRural Location (as Self-Reported) Living Space ...

  7. Total..........................................................

    Energy Information Administration (EIA) (indexed site)

    ... Housing Units (millions) UrbanRural Location (as Self-Reported) City Town Suburbs Rural ... Housing Units (millions) UrbanRural Location (as Self-Reported) City Town Suburbs Rural ...

  8. Total..........................................................

    Annual Energy Outlook

    Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 ...

  9. Total..........................................................

    Energy Information Administration (EIA) (indexed site)

    ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment...... 17.8 4.0 2.4 1.7 Have Cooling Equipment...... 93.3 ...

  10. Total..........................................................

    Annual Energy Outlook

    ... Average Square Feet per Apartment in a -- Apartments (millions) Major Outside Wall Construction Siding (Aluminum, Vinyl, Steel)...... 35.3 3.5 1,286 1,090 325 852 786 461 ...

  11. Total

    Gasoline and Diesel Fuel Update

    ... District heat 48 5,964 8,230 124.9 725 87 District chilled water 54 4,608 5,742 85.4 803 ... Natural gas 12 732 1,048 61.5 699 67 District chilled water 54 4,608 5,742 85.4 803 87 ...

  12. Total..............................................

    Energy Information Administration (EIA) (indexed site)

    111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North

  13. Total...........................................................

    Energy Information Administration (EIA) (indexed site)

    Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing

  14. Total............................................................

    Energy Information Administration (EIA) (indexed site)

  15. Total.............................................................

    Energy Information Administration (EIA) (indexed site)

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer....................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Most-Used Personal Computer Type of PC Desk-top Model.................................. 58.6 7.6 14.2 13.1 9.2 14.6 5.0 14.5 Laptop Model...................................... 16.9 2.0 3.8 3.3 2.1 5.7 1.3 3.5 Hours Turned on Per Week Less than 2 Hours..............................

  16. Total..............................................................

    Energy Information Administration (EIA) (indexed site)

    ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269

  17. Total..............................................................

    Energy Information Administration (EIA) (indexed site)

    Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat

  18. Total...............................................................

    Energy Information Administration (EIA) (indexed site)

    20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs

  19. Total...............................................................

    Energy Information Administration (EIA) (indexed site)

    0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs

  20. Total...............................................................

    Energy Information Administration (EIA) (indexed site)

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2

  1. Total...............................................................

    Energy Information Administration (EIA) (indexed site)

    Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat

  2. Total...............................................................

    Energy Information Administration (EIA) (indexed site)

    47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs

  3. Total................................................................

    Energy Information Administration (EIA) (indexed site)

    111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central

  4. Total.................................................................

    Energy Information Administration (EIA) (indexed site)

    49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat

  5. Total.................................................................

    Energy Information Administration (EIA) (indexed site)

    14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Space Heating Equipment........ 1.2 N Q Q 0.2 0.4 0.2 0.2 Q Have Main Space Heating Equipment........... 109.8 14.7 7.4 12.4 12.2 18.5 18.3 17.1 9.2 Use Main Space Heating Equipment............. 109.1 14.6 7.3 12.4 12.2 18.2 18.2 17.1 9.1 Have Equipment But Do Not Use It............... 0.8 Q Q Q Q 0.3 Q N Q Main Heating Fuel and Equipment Natural Gas................................................... 58.2 9.2 4.9 7.8 7.1 8.8 8.4 7.8 4.2 Central

  6. Total.................................................................

    Energy Information Administration (EIA) (indexed site)

    26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1

  7. Total..................................................................

    Energy Information Administration (EIA) (indexed site)

    78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat

  8. Total..................................................................

    Energy Information Administration (EIA) (indexed site)

    33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment..................... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment................................. 93.3 26.5 6.5 2.5 4.6 12.0 1.0 Use Cooling Equipment.................................. 91.4 25.7 6.3 2.5 4.4 11.7 0.8 Have Equipment But Do Not Use it................. 1.9 0.8 Q Q 0.2 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat

  9. Total..................................................................

    Energy Information Administration (EIA) (indexed site)

    . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central

  10. Total...................................................................

    Energy Information Administration (EIA) (indexed site)

    15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing

  11. Total...................................................................

    Energy Information Administration (EIA) (indexed site)

    Air-Conditioning Equipment 1, 2 Central System............................................... 65.9 47.5 4.0 2.8 7.9 3.7 Without a Heat Pump.................................. 53.5 37.8 3.4 2.2 7.0 3.1 With a Heat Pump....................................... 12.3 9.7 0.6 0.5 1.0 0.6 Window/Wall Units.......................................... 28.9 14.9 2.3 3.5 6.0 2.1 1 Unit........................................................... 14.5 6.6 1.0 1.6 4.2 1.2 2

  12. Total...................................................................

    Energy Information Administration (EIA) (indexed site)

    Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 47.5 4.0 2.8 7.9 3.7 Without a Heat Pump.................................. 53.5 37.8 3.4 2.2 7.0 3.1 With a Heat Pump....................................... 12.3 9.7 0.6 0.5 1.0 0.6 Window/Wall Units........................................ 28.9 14.9 2.3 3.5 6.0 2.1 1 Unit........................................................... 14.5 6.6 1.0 1.6 4.2 1.2 2

  13. Total....................................................................

    Energy Information Administration (EIA) (indexed site)

    14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5

  14. Total.......................................................................

    Energy Information Administration (EIA) (indexed site)

    0.6 15.1 5.5 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.9 5.3 1.6 Use a Personal Computer................................ 75.6 13.7 9.8 3.9 Number of Desktop PCs 1.................................................................. 50.3 9.3 6.8 2.5 2.................................................................. 16.2 2.9 1.9 1.0 3 or More..................................................... 9.0 1.5 1.1 0.4 Number of Laptop PCs

  15. Total.......................................................................

    Energy Information Administration (EIA) (indexed site)

    5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer ................... 35.5 8.1 5.6 2.5 Use a Personal Computer................................ 75.6 17.5 12.1 5.4 Number of Desktop PCs 1.................................................................. 50.3 11.9 8.4 3.4 2.................................................................. 16.2 3.5 2.2 1.3 3 or More..................................................... 9.0 2.1 1.5 0.6 Number of Laptop PCs

  16. Total.......................................................................

    Energy Information Administration (EIA) (indexed site)

    4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs

  17. Total........................................................................

    Energy Information Administration (EIA) (indexed site)

    25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1

  18. Total........................................................................

    Energy Information Administration (EIA) (indexed site)

    5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing

  19. Total........................................................................

    Energy Information Administration (EIA) (indexed site)

    0.7 21.7 6.9 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q N Q Have Main Space Heating Equipment.................. 109.8 40.3 21.4 6.9 12.0 Use Main Space Heating Equipment.................... 109.1 40.1 21.2 6.9 12.0 Have Equipment But Do Not Use It...................... 0.8 Q Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 13.6 5.6 2.3 5.7 Central Warm-Air Furnace................................ 44.7 11.0 4.4

  20. Total........................................................................

    Energy Information Administration (EIA) (indexed site)

    7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0

  1. Total...........................................................................

    Energy Information Administration (EIA) (indexed site)

    0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat

  2. Total...........................................................................

    Energy Information Administration (EIA) (indexed site)

    5.6 17.7 7.9 Do Not Have Cooling Equipment............................. 17.8 2.1 1.8 0.3 Have Cooling Equipment.......................................... 93.3 23.5 16.0 7.5 Use Cooling Equipment........................................... 91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it.......................... 1.9 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 17.3 11.3 6.0 Without a Heat

  3. Total...........................................................................

    Energy Information Administration (EIA) (indexed site)

    4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat

  4. Total.............................................................................

    Energy Information Administration (EIA) (indexed site)

    Do Not Have Cooling Equipment............................... 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................ 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................ 1.9 0.3 Q 0.5 1.0 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 17.3 32.1 10.5 Without a Heat

  5. Total.............................................................................

    Energy Information Administration (EIA) (indexed site)

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a

  6. Total.............................................................................

    Energy Information Administration (EIA) (indexed site)

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a

  7. Total.............................................................................

    Energy Information Administration (EIA) (indexed site)

    Do Not Have Cooling Equipment............................... 17.8 2.1 1.8 0.3 Have Cooling Equipment............................................ 93.3 23.5 16.0 7.5 Use Cooling Equipment............................................. 91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it............................ 1.9 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 17.3 11.3 6.0 Without a Heat

  8. Total.............................................................................

    Energy Information Administration (EIA) (indexed site)

    Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat

  9. Total.............................................................................

    Energy Information Administration (EIA) (indexed site)

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a

  10. Total.............................................................................

    Energy Information Administration (EIA) (indexed site)

    Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat

  11. Total.............................................................................

    Energy Information Administration (EIA) (indexed site)

    Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat

  12. Total..............................................................................

    Energy Information Administration (EIA) (indexed site)

    20.6 25.6 40.7 24.2 Do Not Have Cooling Equipment................................ 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................. 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment.............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................. 1.9 0.3 Q 0.5 1.0 Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 6.0 17.3 32.1 10.5

  13. Total..............................................................................

    Energy Information Administration (EIA) (indexed site)

    0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a

  14. Total..............................................................................

    Energy Information Administration (EIA) (indexed site)

    111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer .......................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer....................................... 75.6 4.2 5.0 5.3 9.0 Number of Desktop PCs 1......................................................................... 50.3 3.1 3.4 3.4 5.4 2......................................................................... 16.2 0.7 1.1 1.2 2.2 3 or More............................................................ 9.0 0.3

  15. Total..............................................................................

    Energy Information Administration (EIA) (indexed site)

    7.1 19.0 22.7 22.3 Do Not Have Cooling Equipment................................ 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................. 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment.............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................. 1.9 0.9 0.3 0.3 0.4 Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 25.8 10.9 16.6 12.5

  16. Total.................................................................................

    Energy Information Administration (EIA) (indexed site)

    7.1 7.0 8.0 12.1 Do Not Have Cooling Equipment................................... 17.8 1.8 Q Q 4.9 Have Cooling Equipment................................................ 93.3 5.3 7.0 7.8 7.2 Use Cooling Equipment................................................. 91.4 5.3 7.0 7.7 6.6 Have Equipment But Do Not Use it............................... 1.9 Q N Q 0.6 Air-Conditioning Equipment 1, 2 Central System.............................................................. 65.9 1.1 6.4 6.4 5.4 Without a

  17. Total....................................................................................

    Energy Information Administration (EIA) (indexed site)

    25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2

  18. Total....................................................................................

    Energy Information Administration (EIA) (indexed site)

    5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2

  19. Total....................................................................................

    Energy Information Administration (EIA) (indexed site)

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.0 1.6 0.3 1.1 2 Times A Day.............................................................. 24.6 8.3 4.2 1.3 2.7 Once a Day................................................................... 42.3 15.0 8.1 2.7 4.2 A Few Times Each Week............................................. 27.2 10.9 6.0 1.8 3.1 About Once a Week..................................................... 3.9

  20. Total....................................................................................

    Energy Information Administration (EIA) (indexed site)

    Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2

  1. Total....................................................................................

    Energy Information Administration (EIA) (indexed site)

    4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2

  2. Total....................................................................................

    Energy Information Administration (EIA) (indexed site)

    Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.7 1.6 1.4 1.5 2 Times A Day.............................................................. 24.6 10.8 4.1 4.3 5.5 Once a Day................................................................... 42.3 17.0 7.2 8.7 9.3 A Few Times Each Week............................................. 27.2 11.4 4.7 6.4 4.8 About Once a Week.....................................................

  3. Total....................................................................................

    Energy Information Administration (EIA) (indexed site)

    111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2

  4. Total.........................................................................................

    Energy Information Administration (EIA) (indexed site)

    ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less

  5. Automated diagnostic kiosk for diagnosing diseases

    DOEpatents

    Regan, John Frederick; Birch, James Michael

    2014-02-11

    An automated and autonomous diagnostic apparatus that is capable of dispensing collection vials and collections kits to users interesting in collecting a biological sample and submitting their collected sample contained within a collection vial into the apparatus for automated diagnostic services. The user communicates with the apparatus through a touch-screen monitor. A user is able to enter personnel information into the apparatus including medical history, insurance information, co-payment, and answer a series of questions regarding their illness, which is used to determine the assay most likely to yield a positive result. Remotely-located physicians can communicate with users of the apparatus using video tele-medicine and request specific assays to be performed. The apparatus archives submitted samples for additional testing. Users may receive their assay results electronically. Users may allow the uploading of their diagnoses into a central databank for disease surveillance purposes.

  6. Flow through electrode with automated calibration

    DOEpatents

    Szecsody, James E [Richland, WA; Williams, Mark D [Richland, WA; Vermeul, Vince R [Richland, WA

    2002-08-20

    The present invention is an improved automated flow through electrode liquid monitoring system. The automated system has a sample inlet to a sample pump, a sample outlet from the sample pump to at least one flow through electrode with a waste port. At least one computer controls the sample pump and records data from the at least one flow through electrode for a liquid sample. The improvement relies upon (a) at least one source of a calibration sample connected to (b) an injection valve connected to said sample outlet and connected to said source, said injection valve further connected to said at least one flow through electrode, wherein said injection valve is controlled by said computer to select between said liquid sample or said calibration sample. Advantages include improved accuracy because of more frequent calibrations, no additional labor for calibration, no need to remove the flow through electrode(s), and minimal interruption of sampling.

  7. Automated Auditing Tool for Retrofit Building Projects

    SciTech Connect

    Parker, Andrew

    2011-06-23

    Building energy auditors regularly use notepads, physical forms, or simple spreadsheets to inventory energy consuming devices in buildings and audit overall performance. Mobile computing devices such as smart phones or tablet computers with camera inputs may be used to automatically capture relevant information and format audit input in a way that streamlines work flows and reduces the likelihood of error. As an example. an auditor could walk through a space holding a mobile device, which automatically identifies and appliances, windows, etc. This information would automatically be added to a mobile database associated with the building for later integration with a larger building audit database. The user experience would require little or no manual input, and could integrate with tools to automate used to automate data collection for building energy modeling.

  8. Saturn facility oil transfer automation system

    SciTech Connect

    Joseph, Nathan R.; Thomas, Rayburn Dean; Lewis, Barbara Ann; Malagon, Hector M.

    2014-02-01

    The Saturn accelerator, owned by Sandia National Laboratories, has been in operation since the early 1980s and still has many of the original systems. A critical legacy system is the oil transfer system which transfers 250,000 gallons of transformer oil from outside storage tanks to the Saturn facility. The oil transfer system was iden- ti ed for upgrade to current technology standards. Using the existing valves, pumps, and relay controls, the system was automated using the National Instruments cRIO FGPA platform. Engineered safety practices, including a failure mode e ects analysis, were used to develop error handling requirements. The uniqueness of the Saturn Oil Automated Transfer System (SOATS) is in the graphical user interface. The SOATS uses an HTML interface to communicate to the cRIO, creating a platform independent control system. The SOATS was commissioned in April 2013.

  9. Automated Auditing Tool for Retrofit Building Projects

    Energy Science and Technology Software Center

    2011-06-23

    Building energy auditors regularly use notepads, physical forms, or simple spreadsheets to inventory energy consuming devices in buildings and audit overall performance. Mobile computing devices such as smart phones or tablet computers with camera inputs may be used to automatically capture relevant information and format audit input in a way that streamlines work flows and reduces the likelihood of error. As an example. an auditor could walk through a space holding a mobile device, whichmore » automatically identifies and appliances, windows, etc. This information would automatically be added to a mobile database associated with the building for later integration with a larger building audit database. The user experience would require little or no manual input, and could integrate with tools to automate used to automate data collection for building energy modeling.« less

  10. Automated Algorithm for MFRSR Data Analysis

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Automated Algorithm for MFRSR Data Analysis M. D. Alexandrov and B. Cairns Columbia University and National Aeronautics and Space Administration Goddard Institute for Space Studies New York, New York A. A. Lacis and B. E. Carlson National Aeronautics and Space Administration Goddard Institute for Space Studies New York, New York A. Marshak National Aeronautics and Space Administration Goddard Space Flight Center Greenbelt, Maryland We present a substantial upgrade of our previously developed

  11. An advanced power distribution automation model system

    SciTech Connect

    Niwa, Shigeharu; Kanoi, Minoru; Nishijima, Kazuo; Hayami, Mitsuo

    1995-12-31

    An advanced power distribution automation (APDA) model system has been developed on the present basis of the automated distribution systems in Japan, which have been used for remote switching operations and for urgent supply restorations during faults. The increased use of electronic apparatuses sensitive to supply interruption requires very high supply reliability, and the final developed system is expected to be useful for this purpose. The developed model system adopts pole circuit breakers and remote termination units connected through 64kbps optical fibers to the computer of the automated system in the control center. Immediate switching operations for supply restorations during faults are possible through the restoration procedures, prepared beforehand, by the computer and by fast telecommunications using optical fibers. So, protection by the feeder circuit breaker in the substation can be avoided, which would otherwise cause the blackout of the whole distribution line. The test results show the effectiveness of model the system: successful fault locations and reconfiguration for supply restoration including separation of the fault sections (without blackout for the ground faults and with a short period (within 1 s) of blackout for the short-circuit faults).

  12. Automating Ontological Annotation with WordNet

    SciTech Connect

    Sanfilippo, Antonio P.; Tratz, Stephen C.; Gregory, Michelle L.; Chappell, Alan R.; Whitney, Paul D.; Posse, Christian; Paulson, Patrick R.; Baddeley, Bob L.; Hohimer, Ryan E.; White, Amanda M.

    2006-01-22

    Semantic Web applications require robust and accurate annotation tools that are capable of automating the assignment of ontological classes to words in naturally occurring text (ontological annotation). Most current ontologies do not include rich lexical databases and are therefore not easily integrated with word sense disambiguation algorithms that are needed to automate ontological annotation. WordNet provides a potentially ideal solution to this problem as it offers a highly structured lexical conceptual representation that has been extensively used to develop word sense disambiguation algorithms. However, WordNet has not been designed as an ontology, and while it can be easily turned into one, the result of doing this would present users with serious practical limitations due to the great number of concepts (synonym sets) it contains. Moreover, mapping WordNet to an existing ontology may be difficult and requires substantial labor. We propose to overcome these limitations by developing an analytical platform that (1) provides a WordNet-based ontology offering a manageable and yet comprehensive set of concept classes, (2) leverages the lexical richness of WordNet to give an extensive characterization of concept class in terms of lexical instances, and (3) integrates a class recognition algorithm that automates the assignment of concept classes to words in naturally occurring text. The ensuing framework makes available an ontological annotation platform that can be effectively integrated with intelligence analysis systems to facilitate evidence marshaling and sustain the creation and validation of inference models.

  13. Transportation Infrastructure

    Office of Environmental Management (EM)

    09 Archive Transportation Fact of the Week - 2009 Archive #603 Where Does Lithium Come From? December 28, 2009 #602 Freight Statistics by Mode, 2007 Commodity Flow Survey December 21, 2009 #601 World Motor Vehicle Production December 14, 2009 #600 China Produced More Vehicles than the U.S. in 2008 December 7, 2009 #599 Historical Trend for Light Vehicle Sales November 30, 2009 #598 Hybrid Vehicle Sales by Model November 23, 2009 #597 Median Age of Cars and Trucks Rising in 2008 November 16, 2009

  14. Country Total Percent of U.S. Total Canada

    Annual Energy Outlook

    Taiwan 60,155 1% Vietnam 361,184 4% All others 1,861,971 19% Total 9,755,831 100% Table 7 . Photovoltaic module import shipments by country, 2015 Note: All Others includes Czech ...

  15. Determination of Total Solids in Biomass and Total Dissolved...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... The published moisture loss on drying for sodium tartrate is 15.62% (84.38% total solids). 14.6 Sample size: Determined by sample matrix. 14.7 Sample storage: Samples should be ...

  16. Assessing the Energy Impact of Connected and Automated Vehicle (CAV) Technologies (Presentation), NREL (National Renewable Energy Laboratory)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Assessing the Energy Impact of Connected and Automated Vehicle (CAV) Technologies SAE 2016 Government/Industry Meeting January 21, 2016 Jeff Gonder, Yuche Chen, Mike Lammert, Eric Wood Transportation and Hydrogen Systems Center (THSC) National Renewable Energy Laboratory (NREL) NREL/PR-5400-65743 2 Outline * Overall energy impact assessment * Example feature-level impacts * Real-world/off-cycle benefit calculation * On-going work by DOE and its national labs 3 "Bookending" CAV Energy

  17. Saturated Zone Colloid Transport

    SciTech Connect

    H. S. Viswanathan

    2004-10-07

    . Radionuclides irreversibly sorbed onto this fraction of colloids also transport without retardation. The transport times for these radionuclides will be the same as those for nonsorbing radionuclides. The fraction of nonretarding colloids developed in this analysis report is used in the abstraction of SZ and UZ transport models in support of the total system performance assessment (TSPA) for the license application (LA). This analysis report uses input from two Yucca Mountain Project (YMP) analysis reports. This analysis uses the assumption from ''Waste Form and In-Drift Colloids-Associated Radionuclide Concentrations: Abstraction and Summary'' that plutonium and americium are irreversibly sorbed to colloids generated by the waste degradation processes (BSC 2004 [DIRS 170025]). In addition, interpretations from RELAP analyses from ''Saturated Zone In-Situ Testing'' (BSC 2004 [DIRS 170010]) are used to develop the retardation factor distributions in this analysis.

  18. Costs of Storing and Transporting Hydrogen

    Energy.gov [DOE]

    An analysis was performed to estimate the costs associated with storing and transporting hydrogen. These costs can be added to a hydrogen production cost to determine the total delivered cost of hydrogen.

  19. TotalView Training 2015

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    TotalView Training 2015 TotalView Training 2015 NERSC will host an in-depth training course on TotalView, a graphical parallel debugger developed by Rogue Wave Software, on Thursday, March 26, 2015. This will be provided by Rogue Wave Software staff members. The training will include a lecture and demo sessions in the morning, followed by a hands-on parallel debugging session in the afternoon. Location This event will be presented online using WebEx technology and in person at NERSC Oakland

  20. Demonstration of automated price response in large customers in New York City using Auto-DR and OpenADR

    SciTech Connect

    Kim, Joyce Jihyun; Schetrit, Oren; Yin, Rongxin; Kiliccote, Sila

    2014-05-01

    Demand response (DR) – allowing customers to respond to reliability requests and market prices by changing electricity use from their normal consumption pattern – continues to be seen as an attractive means of demand-side management and a fundamental smart-grid improvement that links supply and demand. From October 2011 to December 2013, the Demand Response Research Center at Lawrence Berkeley National Laboratory, the New York State Energy Research and Development Authority, and partners Honeywell and Akuacom, have conducted a demonstration project enabling Automated Demand Response (Auto-DR) in large commercial buildings located in New York City using Open Automated Demand Response (OpenADR) communication protocols. In particular, this project focuses on demonstrating how the OpenADR platform, enabled by Akuacom, can automate and simplify interactions between buildings and various stakeholders in New York State and enable the automation of customers’ price response to yield bill savings under dynamic pricing. In this paper, the cost control opportunities under day-ahead hourly pricing and Auto-DR control strategies are presented for four demonstration buildings; present the breakdown of Auto-DR enablement costs; summarize the field test results and their load impact; and show potential bill savings by enabling automated price response under Consolidated Edison’s Mandatory Hourly Pricing (MHP) tariff. For one of the sites, the potential bill savings at the site’s current retail rate are shown. Facility managers were given granular equipment-level opt-out capability to ensure full control of the sites during the Auto-DR implementation. The expected bill savings ranged from 1.1% to 8.0% of the total MHP bill. The automation and enablement costs ranged from $70 to $725 per kW shed. The results show that OpenADR can facilitate the automation of price response, deliver savings to the customers and opt-out capability of the implementation retains control of the

  1. Characteristics RSE Column Factor: Total

    Energy Information Administration (EIA) (indexed site)

    and 1994 Vehicle Characteristics RSE Column Factor: Total 1993 Family Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factor: Less than 5,000 5,000...

  2. ARM - Measurement - Total cloud water

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    cloud water ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Total cloud water The total concentration (mass/vol) of ice and liquid water particles in a cloud; this includes condensed water content (CWC). Categories Cloud Properties Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a

  3. Automated Register of Implemented Actions | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Technical Assistance » Superior Energy Performance » Automated Register of Implemented Actions Automated Register of Implemented Actions sep_logo_borderless.jpg Automated Register of Implemented Actions (The "Register") is designed to assist you in your path towards Superior Energy Performance (SEP) certification and complements the SEP Measurement and Verification (M&V) Protocol. Completion of this Register does not guarantee certification. If you are not pursuing SEP

  4. Multiplex automated genome engineering (Patent) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Multiplex automated genome engineering Citation Details In-Document Search Title: Multiplex automated genome engineering The present invention relates to automated methods of introducing multiple nucleic acid sequences into one or more target cells. Authors: Church, George M ; Wang, Harris H ; Isaacs, Farren J Publication Date: 2013-10-29 OSTI Identifier: 1107638 Report Number(s): 8,569,041 13/411,712 DOE Contract Number: FG02-02ER63445 Resource Type: Patent Research Org: Harvard University,

  5. Sandia National Laboratories: High Consequence, Automation, & Robotics

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Research High Consequence, Automation, & Robotics High-Consequence Automation Developing cost-effective, reliable systems to handle materials used in conventional and nuclear weapons Unique Mobility Specializing in advanced mobility technologies to support a broad range of challenging missions Advanced Manipulation Automating robots for difficult manipulation tasks for more than 25 years Cybernetics Specializing in the development of advanced man-machine interface technology Neural Control

  6. Microsoft PowerPoint - DOE EVMSIH Test Automation 10272016

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    EVMSIH Test Automation David Kester Project Management Policy and Systems (PM-30) Office of Project Management Oversight & Assessments (PM) October/November 2016 Slide 2 Automated, Data Driven Strategy * Rethink the way in which DOE EVMS validations and follow-on surveillance are performed * Strategy uses an automated, data driven approach * Data now provides an instant diagnosis * Markers in the data will point the way to emerging issues * Ensures efficient use of limit resources Slide 3

  7. Building America Expert Meeting: Minutes from Automated Home Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Management System | Department of Energy Minutes from Automated Home Energy Management System Building America Expert Meeting: Minutes from Automated Home Energy Management System These meeting minutes are from the U.S. Department of Energy Building America program expert meeting titled "Automated Home Energy Management System," held on October 1-2, 2010 in Denver, Colorado. ahem_expert_meeting_minutes.pdf (133.07 KB) More Documents & Publications 2012 Smart Grid Peer Review

  8. Impact of Connectivity and Automation on Vehicle Energy Use | Argonne

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    National Laboratory Connectivity and Automation on Vehicle Energy Use Title Impact of Connectivity and Automation on Vehicle Energy Use Publication Type Conference Paper Year of Publication 2016 Authors Michel, P, Karbowski, D, Rousseau, A Conference Name SAE 2016 World Congress and Exhibition Date Published 04/2016 Publisher SAE International Conference Location Detroit, MI, USA Other Numbers SAE Technical Paper 2016-01-0152 Abstract Connectivity and automation are increasingly being

  9. Automated Office Systems Support (AOSS) Quality Assurance Model |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Automated Office Systems Support (AOSS) Quality Assurance Model Automated Office Systems Support (AOSS) Quality Assurance Model A quality assurance model, including checklists, for activity relative to network and desktop computer support. Automated Office Systems Support (AOSS) Quality Assurance Model (91.16 KB) More Documents & Publications Audit Report: CR-B-97-04 CITSS Project Plan Quality Assurance Checklist

  10. HEADLINE: DOE Pursues Automation in West Virginia Lab

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    But movement toward a Smart Grid on the automatic fault location and remote feeder configuration front could change that dynamic. "By installing a distribution automation system, ...

  11. Scalable HPC monitoring and analysis for understanding and automated...

    Office of Scientific and Technical Information (OSTI)

    Scalable HPC monitoring and analysis for understanding and automated response. Citation Details In-Document Search Title: Scalable HPC monitoring and analysis for understanding and ...

  12. Aescusoft GmbH Automation | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Name: Aescusoft GmbH Automation Place: Ettenheim, Germany Zip: 77955 Product: Offers PV cell testing lines. Coordinates: 48.256309, 7.813654 Show Map Loading map......

  13. Automation and security of Supply (Smart Grid Project) | Open...

    OpenEI (Open Energy Information) [EERE & EIA]

    and security of Supply (Smart Grid Project) Jump to: navigation, search Project Name Automation and security of Supply Country Denmark Coordinates 56.26392, 9.501785 Loading...

  14. The present invention relates to automated methods of introducing...

    Office of Scientific and Technical Information (OSTI)

    The present invention relates to automated methods of introducing multiple nucleic acid sequences into one or more target cells. Authors: Church, George M. 1 ; Wang, Harris H. ...

  15. V-205: IBM Tivoli System Automation for Multiplatforms Java Multiple...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Automation Application Manager Multiple Vulnerabilities V-145: IBM Tivoli Federated Identity Manager Products Java Multiple Vulnerabilities V-122: IBM Tivoli Application...

  16. An Automated JHA Tool Making Safety Accessible Presentation

    Office of Environmental Management (EM)

    Automated JHA Tool Making Safety Accessible M.A. Buchholz, CHP Oak Ridge Associated ... Conference * Certified Health Physicist (CHP) at Oak Ridge Associated Universities ...

  17. Automated Vehicle Regulation: An Energy and Emissions Perspective...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy and Emissions Perspective Aaron Levine, Esq. Legal and Regulatory Analyst May 18, 2016 Automated Vehicle Policy ... Golden, CO: National Renewable Energy Laboratory, 2015. ...

  18. Optical Method for Automated Real Time Control of Elemental Compositio...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Optical Method for Automated Real Time Control of Elemental Composition, Distribution, and Film Thickness in CIGS Solar Cell Production National Renewable Energy Laboratory Contact ...

  19. Automated Home Energy Management (AHEM) Standing Technical Committee...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Home Energy Management (AHEM) Standing Technical Committee Strategic Plan - February 2012 Automated Home Energy Management (AHEM) Standing Technical Committee Strategic Plan - ...

  20. Automated Measurement and Signaling Systems for the Transactional...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Measurement and Signaling Systems for the Transactional Network Automated Measurement and Signaling Systems for the Transactional Network The Transactional Network Project is a ...

  1. Automated Image Data Exploitation Final Report

    SciTech Connect

    Kamath, C; Poland, D; Sengupta, S K; Futterman, J H

    2004-01-26

    The automated production of maps of human settlement from recent satellite images is essential to detailed studies of urbanization, population movement, and the like. Commercial satellite imagery is becoming available with sufficient spectral and spatial resolution to apply computer vision techniques previously considered only for laboratory (high resolution, low noise) images. In this project, we extracted the boundaries of human settlements from IKONOS 4-band and panchromatic images using spectral segmentation together with a form of generalized second-order statistics and detection of edges and corners.

  2. Automated fluid analysis apparatus and techniques

    DOEpatents

    Szecsody, James E.

    2004-03-16

    An automated device that couples a pair of differently sized sample loops with a syringe pump and a source of degassed water. A fluid sample is mounted at an inlet port and delivered to the sample loops. A selected sample from the sample loops is diluted in the syringe pump with the degassed water and fed to a flow through detector for analysis. The sample inlet is also directly connected to the syringe pump to selectively perform analysis without dilution. The device is airtight and used to detect oxygen-sensitive species, such as dithionite in groundwater following a remedial injection to treat soil contamination.

  3. Automated Knowledge Annotation for Dynamic Collaborative Environments

    SciTech Connect

    Cowell, Andrew J.; Gregory, Michelle L.; Marshall, Eric J.; McGrath, Liam R.

    2009-05-19

    This paper describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable automated knowledge annotation for modeling and simulation projects. This framework can be used to capture evidence (e.g., facts extracted from journal articles and government reports), discover new evidence (from similar peer-reviewed material as well as social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks.

  4. Automated inspection of hot steel slabs

    DOEpatents

    Martin, R.J.

    1985-12-24

    The disclosure relates to a real time digital image enhancement system for performing the image enhancement segmentation processing required for a real time automated system for detecting and classifying surface imperfections in hot steel slabs. The system provides for simultaneous execution of edge detection processing and intensity threshold processing in parallel on the same image data produced by a sensor device such as a scanning camera. The results of each process are utilized to validate the results of the other process and a resulting image is generated that contains only corresponding segmentation that is produced by both processes. 5 figs.

  5. Automated Expert Modeling and Student Evaluation

    Energy Science and Technology Software Center

    2012-09-12

    AEMASE searches a database of recorded events for combinations of events that are of interest. It compares matching combinations to a statistical model to determine similarity to previous events of interest and alerts the user as new matching examples are found. AEMASE is currently used by weapons tactics instructors to find situations of interest in recorded tactical training scenarios. AEMASE builds on a sub-component, the Relational Blackboard (RBB), which is being released as open-source software.more » AEMASE builds on RBB adding interactive expert model construction (automated knowledge capture) and re-evaluation of scenario data.« less

  6. Automated Single Cell Data Decontamination Pipeline

    SciTech Connect

    Tennessen, Kristin; Pati, Amrita

    2014-03-21

    Recent technological advancements in single-cell genomics have encouraged the classification and functional assessment of microorganisms from a wide span of the biospheres phylogeny.1,2 Environmental processes of interest to the DOE, such as bioremediation and carbon cycling, can be elucidated through the genomic lens of these unculturable microbes. However, contamination can occur at various stages of the single-cell sequencing process. Contaminated data can lead to wasted time and effort on meaningless analyses, inaccurate or erroneous conclusions, and pollution of public databases. A fully automated decontamination tool is necessary to prevent these instances and increase the throughput of the single-cell sequencing process

  7. Automated macromolecular crystal detection system and method

    DOEpatents

    Christian, Allen T.; Segelke, Brent; Rupp, Bernard; Toppani, Dominique

    2007-06-05

    An automated macromolecular method and system for detecting crystals in two-dimensional images, such as light microscopy images obtained from an array of crystallization screens. Edges are detected from the images by identifying local maxima of a phase congruency-based function associated with each image. The detected edges are segmented into discrete line segments, which are subsequently geometrically evaluated with respect to each other to identify any crystal-like qualities such as, for example, parallel lines, facing each other, similarity in length, and relative proximity. And from the evaluation a determination is made as to whether crystals are present in each image.

  8. Automated inspection of hot steel slabs

    DOEpatents

    Martin, Ronald J.

    1985-01-01

    The disclosure relates to a real time digital image enhancement system for performing the image enhancement segmentation processing required for a real time automated system for detecting and classifying surface imperfections in hot steel slabs. The system provides for simultaneous execution of edge detection processing and intensity threshold processing in parallel on the same image data produced by a sensor device such as a scanning camera. The results of each process are utilized to validate the results of the other process and a resulting image is generated that contains only corresponding segmentation that is produced by both processes.

  9. RESIDENTIAL",,,,"COMMERCIAL",,,,"INDUSTRIAL",,,,"TRANSPORTATION",,,,"OTHER",,,,"

    Energy Information Administration (EIA) (indexed site)

    "RESIDENTIAL",,,,"COMMERCIAL",,,,"INDUSTRIAL",,,,"TRANSPORTATION",,,,"OTHER",,,,"TOTAL"

  10. AUTOMATED PROCESS MONITORING: APPLYING PROVEN AUTOMATION TECHNIQUES TO INTERNATIONAL SAFEGUARDS NEEDS

    SciTech Connect

    O'Hara, Matthew J.; Durst, Philip C.; Grate, Jay W.; Devol, Timothy A.; Egorov, Oleg; Clements, John P.

    2008-07-13

    Identification and quantification of specific alpha- and beta-emitting radionuclides in complex liquid matrices is highly challenging, and is typically accomplished through laborious wet chemical sample preparation and separations followed by analysis using a variety of detection methodologies (e.g., liquid scintillation, gas proportional counting, alpha energy analysis, mass spectrometry). Analytical results may take days or weeks to report. Chains of custody and sample security measures may also complicate or slow the analytical process. When an industrial process-scale plant requires the monitoring of specific radionuclides as an indication of the composition of its feed stream or of plant performance, radiochemical measurements must be fast, accurate, and reliable. Scientists at Pacific Northwest National Laboratory have assembled a fully automated prototype Process Monitor instrument capable of a variety of tasks: automated sampling directly from a feed stream, sample digestion / analyte redox adjustment, chemical separations, radiochemical detection and data analysis / reporting. The system is compact, its components are fluidically inter-linked, and analytical results could be immediately transmitted to on- or off-site locations. The development of a rapid radiochemical Process Monitor for 99Tc in Hanford tank waste processing streams, capable of performing several measurements per hour, will be discussed in detail. More recently, the automated platform was modified to perform measurements of 90Sr in Hanford tank waste stimulant. The system exemplifies how automation could be integrated into reprocessing facilities to support international nuclear safeguards needs.

  11. Method and apparatus for routing data in an inter-nodal communications lattice of a massively parallel computer system by routing through transporter nodes

    DOEpatents

    Archer, Charles Jens; Musselman, Roy Glenn; Peters, Amanda; Pinnow, Kurt Walter; Swartz, Brent Allen; Wallenfelt, Brian Paul

    2010-11-16

    A massively parallel computer system contains an inter-nodal communications network of node-to-node links. An automated routing strategy routes packets through one or more intermediate nodes of the network to reach a destination. Some packets are constrained to be routed through respective designated transporter nodes, the automated routing strategy determining a path from a respective source node to a respective transporter node, and from a respective transporter node to a respective destination node. Preferably, the source node chooses a routing policy from among multiple possible choices, and that policy is followed by all intermediate nodes. The use of transporter nodes allows greater flexibility in routing.

  12. Task automation in a successful industrial telerobot

    SciTech Connect

    Spelt, P.F.; Jones, S.L.

    1994-01-01

    In this paper, we discuss cooperative work by Oak Ridge National Laboratory and Remotec{trademark}, Inc., to automate components of the operator`s workload using Remotec`s Andros telerobot, thereby providing an enhanced user interface which can be retroll to existing fielded units as well as being incorporated into now production units. Remotec`s Andros robots are presently used by numerous electric utilities to perform tasks in reactors where substantial exposure to radiation exists, as well as by the armed forces and numerous law enforcement agencies. The automation of task components, as well as the video graphics display of the robot`s position in the environment, will enhance all tasks performed by these users, as well as enabling performance in terrain where the robots cannot presently perform due to lack of knowledge about, for instance, the degree of tilt of the robot. Enhanced performance of a successful industrial mobile robot leads to increased safety and efficiency of performances in hazardous environments. The addition of these capabilities will greatly enhance the utility of the robot, as well as its marketability.

  13. Automated software system reduces leak investigation time

    SciTech Connect

    Not Available

    1994-12-01

    With more than a million customers in the New York City boroughs of Brooklyn, Queens, and Staten Island, Brooklyn Union Gas Co. is one of the largest natural gas distributors in the US. In September 1993, the company began working with MapFrame Corp., Dallas, to develop a new program to automate their underground leak investigation process. Automating this process would greatly reduce time in finding a leaking main and result in improved customer relations and productivity gains. Keys to the success of this program were in using pen computers, wireless communications, and a jointly-developed software. MapFrame and Brooklyn Union Gas agreed that the application should allow onsite users to: display a model of the affected area using map data to show streets, services, buildings, manholes, street lights, and other landmarks; record bar hole readings, manipulate data, and use diagnostic tools to analyze gas concentrations; update leak records (per legal requirements); and integrate Map Data. The paper reviews this program.

  14. CATEGORY Total Procurement Total Small Business Small Disadvantaged

    National Nuclear Security Administration (NNSA)

    CATEGORY Total Procurement Total Small Business Small Disadvantaged Business Woman Owned Small Business HubZone Small Business Veteran-Owned Small Business Service Disabled Veteran Owned Small Business FY 2013 Dollars Accomplished $1,049,087,940 $562,676,028 $136,485,766 $106,515,229 $12,080,258 $63,473,852 $28,080,960 FY 2013 % Accomplishment 54.40% 13.00% 10.20% 1.20% 6.60% 2.70% FY 2014 Dollars Accomplished $868,961,755 $443,711,175 $92,478,522 $88,633,031 $29,867,820 $43,719,452 $26,826,374

  15. Coal Transportation Issues (released in AEO2007)

    Reports and Publications

    2007-01-01

    Most of the coal delivered to U.S. consumers is transported by railroads, which accounted for 64% of total domestic coal shipments in 2004. Trucks transported approximately 12% of the coal consumed in the United States in 2004, mainly in short hauls from mines in the East to nearby coal-fired electricity and industrial plants. A number of minemouth power plants in the West also use trucks to haul coal from adjacent mining operations. Other significant modes of coal transportation in 2004 included conveyor belt and slurry pipeline (12%) and water transport on inland waterways, the Great Lakes, and tidewater areas (9%).

  16. Sandia National Laboratories: Research: High Consequence, Automation, &

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Robotics: Advanced Controls Controls Robotics Homepage About Robotics Research & Development Advanced Controls One-Control Many Swarm Control Technology Multi-Robot Cooperative Behavior Advanced Manipulation Cybernetics High-Consequence Automation Perception and Decision Tools Unique Mobility Facilities Publications and Factsheets Robotics Image Gallery Robotics Videos Contact Robotics Research Advanced Controls Swarm Sandia's High Consequence, Automation, & Robotics (HCAR) team

  17. Sandia National Laboratories: Research: High Consequence, Automation, &

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Robotics: Facilities High Consequence, Automation, & Robotics Robotics Homepage About Robotics Research & Development Advanced Controls Advanced Manipulation Cybernetics High-Consequence Automation Perception and Decision Tools Unique Mobility Facilities Publications and Factsheets Robotics Image Gallery Robotics Videos Contact Robotics Research Facilities Advancing the evolution of robotic & intelligent system technologies Robot Vehicle Range A cutting-edge outdoor test &

  18. The MC21 Monte Carlo Transport Code

    SciTech Connect

    Sutton TM, Donovan TJ, Trumbull TH, Dobreff PS, Caro E, Griesheimer DP, Tyburski LJ, Carpenter DC, Joo H

    2007-01-09

    MC21 is a new Monte Carlo neutron and photon transport code currently under joint development at the Knolls Atomic Power Laboratory and the Bettis Atomic Power Laboratory. MC21 is the Monte Carlo transport kernel of the broader Common Monte Carlo Design Tool (CMCDT), which is also currently under development. The vision for CMCDT is to provide an automated, computer-aided modeling and post-processing environment integrated with a Monte Carlo solver that is optimized for reactor analysis. CMCDT represents a strategy to push the Monte Carlo method beyond its traditional role as a benchmarking tool or ''tool of last resort'' and into a dominant design role. This paper describes various aspects of the code, including the neutron physics and nuclear data treatments, the geometry representation, and the tally and depletion capabilities.

  19. NREL: Transportation Research - Driverless Cars and Fuel Efficiency

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Spotlighted in Scientific American Driverless Cars and Fuel Efficiency Spotlighted in Scientific American January 25, 2016 The potential to slow pollution through deployment of automated vehicles is gaining more and more traction in the news. In a recent Scientific American article, reporter Camille von Kaenel asked NREL's Jeff Gonder for a transportation researcher's thoughts on both the sustainability benefits and uncertainties that will accompany an increase in driverless cars. "The

  20. Transporting particulate material

    DOEpatents

    Aldred, Derek Leslie; Rader, Jeffrey A.; Saunders, Timothy W.

    2011-08-30

    A material transporting system comprises a material transporting apparatus (100) including a material transporting apparatus hopper structure (200, 202), which comprises at least one rotary transporting apparatus; a stationary hub structure (900) constraining and assisting the at least one rotary transporting apparatus; an outlet duct configuration (700) configured to permit material to exit therefrom and comprising at least one diverging portion (702, 702'); an outlet abutment configuration (800) configured to direct material to the outlet duct configuration; an outlet valve assembly from the material transporting system venting the material transporting system; and a moving wall configuration in the material transporting apparatus capable of assisting the material transporting apparatus in transporting material in the material transporting system. Material can be moved from the material transporting apparatus hopper structure to the outlet duct configuration through the at least one rotary transporting apparatus, the outlet abutment configuration, and the outlet valve assembly.

  1. Transportation Systems Modeling

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling TRANSPORTATION SYSTEMS MODELING Overview of TSM Transportation systems modeling research at TRACC uses the TRANSIMS (Transportation Analysis SIMulation System) traffic micro simulation code developed by the U.S. Department of Transportation (USDOT). The TRANSIMS code represents the latest generation of traffic simulation codes developed jointly under multiyear programs by USDOT, the

  2. Automated-In-Motion Vehicle Evaluation Environment (AIMVEE)

    Energy Science and Technology Software Center

    2006-05-04

    The AIMVEE/WIM system electronically retrieves deployment information, identifies vehicle automatically, and determines total weight, individual wheel weight, individual axle weights, axle spacing, and center-of-balance for any wheeled vehicle in motion. The AIMVEE/WIM system can also perform these functions statically for both wheel vehicles and cargo with information. The AIMVEE/WIM system incorporates digital images and applies cubing algorithms to determine length, width, height for cubic dimensions of both vehicle and cargo. Once all this information ismore » stored, it electronically links to data collection and dissemination systems to provide “actual” weight and measurement information for planning, deployment, and in-transit visibility. The Static Scale Conversion (SSC) system is an unique enhancement to the AIMVEE/WIM system. It enables a SSC to weigh and measure vehicles and cargo dynamically (i.e., as they pass over the large scale and is included in the AIMVEE computer code base. The material to be copyrighted is the Automated-In-Motion Vehicle Evaluation Environment (AIMVEE)/Weigh-In-Motion User Training and Testing material. It includes instructional material in the set-up, operation and tear-down of the AIMVEE/WIM system. It also includes a final exam associated with the training.« less

  3. Million Cu. Feet Percent of National Total

    Annual Energy Outlook

    Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: ...

  4. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 New Hampshire - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle ...

  5. Total Number of Operable Refineries

    Energy Information Administration (EIA) (indexed site)

    Data Series: Total Number of Operable Refineries Number of Operating Refineries Number of Idle Refineries Atmospheric Crude Oil Distillation Operable Capacity (B/CD) Atmospheric Crude Oil Distillation Operating Capacity (B/CD) Atmospheric Crude Oil Distillation Idle Capacity (B/CD) Atmospheric Crude Oil Distillation Operable Capacity (B/SD) Atmospheric Crude Oil Distillation Operating Capacity (B/SD) Atmospheric Crude Oil Distillation Idle Capacity (B/SD) Vacuum Distillation Downstream Charge

  6. An automated neutron monitor maintenance system

    SciTech Connect

    Moore, F.S.; Griffin, J.C.; Odell, D.M.C.

    1996-09-01

    Neutron detectors are commonly used by the nuclear materials processing industry to monitor fissile materials in process vessels and tanks. The proper functioning of these neutron monitors must be periodically evaluated. We have developed and placed in routine use a PC-based multichannel analyzer (MCA) system for on-line BF3 and He-3 gas-filled detector function testing. The automated system: 1) acquires spectral data from the monitor system, 2) analyzes the spectrum to determine the detector`s functionality, 3) makes suggestions for maintenance or repair, as required, and 4) saves the spectrum and results to disk for review. The operator interface has been designed to be user-friendly and to minimize the training requirements of the user. The system may also be easily customized for various applications

  7. Automated DNA Base Pair Calling Algorithm

    Energy Science and Technology Software Center

    1999-07-07

    The procedure solves the problem of calling the DNA base pair sequence from two channel electropherogram separations in an automated fashion. The core of the program involves a peak picking algorithm based upon first, second, and third derivative spectra for each electropherogram channel, signal levels as a function of time, peak spacing, base pair signal to noise sequence patterns, frequency vs ratio of the two channel histograms, and confidence levels generated during the run. Themore » ratios of the two channels at peak centers can be used to accurately and reproducibly determine the base pair sequence. A further enhancement is a novel Gaussian deconvolution used to determine the peak heights used in generating the ratio.« less

  8. Automated interferometric alignment system for paraboloidal mirrors

    DOEpatents

    Maxey, L. Curtis

    1993-01-01

    A method is described for a systematic method of interpreting interference fringes obtained by using a corner cube retroreflector as an alignment aid when aigning a paraboloid to a spherical wavefront. This is applicable to any general case where such alignment is required, but is specifically applicable in the case of aligning an autocollimating test using a diverging beam wavefront. In addition, the method provides information which can be systematically interpreted such that independent information about pitch, yaw and focus errors can be obtained. Thus, the system lends itself readily to automation. Finally, although the method is developed specifically for paraboloids, it can be seen to be applicable to a variety of other aspheric optics when applied in combination with a wavefront corrector that produces a wavefront which, when reflected from the correctly aligned aspheric surface will produce a collimated wavefront like that obtained from the paraboloid when it is correctly aligned to a spherical wavefront.

  9. Automated interferometric alignment system for paraboloidal mirrors

    DOEpatents

    Maxey, L.C.

    1993-09-28

    A method is described for a systematic method of interpreting interference fringes obtained by using a corner cube retroreflector as an alignment aid when aligning a paraboloid to a spherical wavefront. This is applicable to any general case where such alignment is required, but is specifically applicable in the case of aligning an autocollimating test using a diverging beam wavefront. In addition, the method provides information which can be systematically interpreted such that independent information about pitch, yaw and focus errors can be obtained. Thus, the system lends itself readily to automation. Finally, although the method is developed specifically for paraboloids, it can be seen to be applicable to a variety of other aspheric optics when applied in combination with a wavefront corrector that produces a wavefront which, when reflected from the correctly aligned aspheric surface will produce a collimated wavefront like that obtained from the paraboloid when it is correctly aligned to a spherical wavefront. 14 figures.

  10. Cooling method with automated seasonal freeze protection

    DOEpatents

    Cambell, Levi; Chu, Richard; David, Milnes; Ellsworth, Jr, Michael; Iyengar, Madhusudan; Simons, Robert; Singh, Prabjit; Zhang, Jing

    2016-05-31

    An automated multi-fluid cooling method is provided for cooling an electronic component(s). The method includes obtaining a coolant loop, and providing a coolant tank, multiple valves, and a controller. The coolant loop is at least partially exposed to outdoor ambient air temperature(s) during normal operation, and the coolant tank includes first and second reservoirs containing first and second fluids, respectively. The first fluid freezes at a lower temperature than the second, the second fluid has superior cooling properties compared with the first, and the two fluids are soluble. The multiple valves are controllable to selectively couple the first or second fluid into the coolant in the coolant loop, wherein the coolant includes at least the second fluid. The controller automatically controls the valves to vary first fluid concentration level in the coolant loop based on historical, current, or anticipated outdoor air ambient temperature(s) for a time of year.

  11. Automated Fuel Element Closure Welding System

    SciTech Connect

    Wahlquist, D.R.

    1993-03-01

    The Automated Fuel Element Closure Welding System is a robotic device that will load and weld top end plugs onto nuclear fuel elements in a highly radioactive and inert gas environment. The system was developed at Argonne National Laboratory-West as part of the Fuel Cycle Demonstration. The welding system performs four main functions, it (1) injects a small amount of a xenon/krypton gas mixture into specific fuel elements, and (2) loads tiny end plugs into the tops of fuel element jackets, and (3) welds the end plugs to the element jackets, and (4) performs a dimensional inspection of the pre- and post-welded fuel elements. The system components are modular to facilitate remote replacement of failed parts. The entire system can be operated remotely in manual, semi-automatic, or fully automatic modes using a computer control system. The welding system is currently undergoing software testing and functional checkout.

  12. Automated Fuel Element Closure Welding System

    SciTech Connect

    Wahlquist, D.R.

    1993-01-01

    The Automated Fuel Element Closure Welding System is a robotic device that will load and weld top end plugs onto nuclear fuel elements in a highly radioactive and inert gas environment. The system was developed at Argonne National Laboratory-West as part of the Fuel Cycle Demonstration. The welding system performs four main functions, it (1) injects a small amount of a xenon/krypton gas mixture into specific fuel elements, and (2) loads tiny end plugs into the tops of fuel element jackets, and (3) welds the end plugs to the element jackets, and (4) performs a dimensional inspection of the pre- and post-welded fuel elements. The system components are modular to facilitate remote replacement of failed parts. The entire system can be operated remotely in manual, semi-automatic, or fully automatic modes using a computer control system. The welding system is currently undergoing software testing and functional checkout.

  13. Automated eXpert Spectral Image Analysis

    Energy Science and Technology Software Center

    2003-11-25

    AXSIA performs automated factor analysis of hyperspectral images. In such images, a complete spectrum is collected an each point in a 1-, 2- or 3- dimensional spatial array. One of the remaining obstacles to adopting these techniques for routine use is the difficulty of reducing the vast quantities of raw spectral data to meaningful information. Multivariate factor analysis techniques have proven effective for extracting the essential information from high dimensional data sets into a limtedmore » number of factors that describe the spectral characteristics and spatial distributions of the pure components comprising the sample. AXSIA provides tools to estimate different types of factor models including Singular Value Decomposition (SVD), Principal Component Analysis (PCA), PCA with factor rotation, and Alternating Least Squares-based Multivariate Curve Resolution (MCR-ALS). As part of the analysis process, AXSIA can automatically estimate the number of pure components that comprise the data and can scale the data to account for Poisson noise. The data analysis methods are fundamentally based on eigenanalysis of the data crossproduct matrix coupled with orthogonal eigenvector rotation and constrained alternating least squares refinement. A novel method for automatically determining the number of significant components, which is based on the eigenvalues of the crossproduct matrix, has also been devised and implemented. The data can be compressed spectrally via PCA and spatially through wavelet transforms, and algorithms have been developed that perform factor analysis in the transform domain while retaining full spatial and spectral resolution in the final result. These latter innovations enable the analysis of larger-than core-memory spectrum-images. AXSIA was designed to perform automated chemical phase analysis of spectrum-images acquired by a variety of chemical imaging techniques. Successful applications include Energy Dispersive X-ray Spectroscopy, X

  14. Repository Waste Package Transporter Shielding Weight Optimization

    SciTech Connect

    C.E. Sanders; Shiaw-Der Su

    2005-02-02

    The Yucca Mountain repository requires the use of a waste package (WP) transporter to transport a WP from a process facility on the surface to the subsurface for underground emplacement. The transporter is a part of the waste emplacement transport systems, which includes a primary locomotive at the front end and a secondary locomotive at the rear end. The overall system with a WP on board weights over 350 metric tons (MT). With the shielding mass constituting approximately one-third of the total system weight, shielding optimization for minimal weight will benefit the overall transport system with reduced axle requirements and improved maneuverability. With a high contact dose rate on the WP external surface and minimal personnel shielding afforded by the WP, the transporter provides radiation shielding to workers during waste emplacement and retrieval operations. This paper presents the design approach and optimization method used in achieving a shielding configuration with minimal weight.

  15. Transportation Data Programs:Transportation Energy Data Book...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Transportation Data Programs:Transportation Energy Data Book,Vehicle Technologies Market Report, and VT Fact of the Week Transportation Data Programs:Transportation Energy Data ...

  16. AUTOMATED WATER LEVEL MEASUREMENTS IN SMALL-DIAMETER AQUIFER TUBES

    SciTech Connect

    PETERSEN SW; EDRINGTON RS; MAHOOD RO; VANMIDDLESWORTH PE

    2011-01-14

    Groundwater contaminated with hexavalent chromium, strontium-90, and uranium discharges into the Columbia River along approximately 16 km (10 mi) of the shoreline. Various treatment systems have and will continue to be implemented to eliminate the impact of Hanford Site contamination to the river. To optimize the various remediation strategies, it is important to understand interactions between groundwater and the surface water of the Columbia River. An automated system to record water levels in aquifer sampling tubes installed in the hyporheic zone was designed and tested to (1) gain a more complete understanding of groundwater/river water interactions based on gaining and losing conditions ofthe Columbia River, (2) record and interpret data for consistent and defensible groundwater/surface water conceptual models that may be used to better predict subsurface contaminant fate and transport, and (3) evaluate the hydrodynamic influence of extraction wells in an expanded pump-and-treat system to optimize the treatment system. A system to measure water levels in small-diameter aquifer tubes was designed and tested in the laboratory and field. The system was configured to allow manual measurements to periodically calibrate the instrument and to permit aquifer tube sampling without removing the transducer tube. Manual measurements were collected with an e-tape designed and fabricated especially for this test. Results indicate that the transducer system accurately records groundwater levels in aquifer tubes. These data are being used to refine the conceptual and numeric models to better understand interactions in the hyporheic zone of the Columbia River and the adjacent river water and groundwater, and changes in hydrochemistry relative to groundwater flux as river water recharges the aquifer and then drains back out in response to changes in the river level.

  17. National Transportation Stakeholders Forum

    Office of Environmental Management (EM)

    National Transportation Stakeholders Forum OSRP * NNSA Contractors transporting in commerce, are required law to comply with applicable regulations required law to comply with ...

  18. Transportation sector energy consumption

    Annual Energy Outlook

    Chapter 8 Transportation sector energy consumption Overview In the International Energy Outlook 2016 (IEO2016) Reference case, transportation sector delivered energy consumption ...

  19. Design Storm for Total Retention.pdf

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Title: Design Storm for "Total Retention" under Individual Permit, Poster, Individual ... International. Environmental Programs Design Storm for "Total Retention" under ...

  20. U.S. Total Imports

    Energy Information Administration (EIA) (indexed site)

    St. Clair, MI International Falls, MN Noyes, MN Warroad, MN Babb, MT Havre, MT Port of Del Bonita, MT Port of Morgan, MT Sweetgrass, MT Whitlash, MT Portal, ND Sherwood, ND Pittsburg, NH Champlain, NY Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Highgate Springs, VT North Troy, VT U.S. Pipeline Total from Mexico Ogilby, CA Otay Mesa, CA Alamo, TX El Paso, TX Galvan Ranch, TX Hidalgo, TX McAllen, TX Penitas, TX LNG Imports from Algeria Cove Point, MD Everett, MA Lake

  1. Model-centric distribution automation: Capacity, reliability, and efficiency

    DOE PAGES [OSTI]

    Onen, Ahmet; Jung, Jaesung; Dilek, Murat; Cheng, Danling; Broadwater, Robert P.; Scirbona, Charlie; Cocks, George; Hamilton, Stephanie; Wang, Xiaoyu

    2016-02-26

    A series of analyses along with field validations that evaluate efficiency, reliability, and capacity improvements of model-centric distribution automation are presented. With model-centric distribution automation, the same model is used from design to real-time control calculations. A 14-feeder system with 7 substations is considered. The analyses involve hourly time-varying loads and annual load growth factors. Phase balancing and capacitor redesign modifications are used to better prepare the system for distribution automation, where the designs are performed considering time-varying loads. Coordinated control of load tap changing transformers, line regulators, and switched capacitor banks is considered. In evaluating distribution automation versus traditionalmore » system design and operation, quasi-steady-state power flow analysis is used. In evaluating distribution automation performance for substation transformer failures, reconfiguration for restoration analysis is performed. In evaluating distribution automation for storm conditions, Monte Carlo simulations coupled with reconfiguration for restoration calculations are used. As a result, the evaluations demonstrate that model-centric distribution automation has positive effects on system efficiency, capacity, and reliability.« less

  2. Identifying Requirements for Effective Human-Automation Teamwork

    SciTech Connect

    Jeffrey C. Joe; John O'Hara; Heather D. Medema; Johanna H. Oxstrand

    2014-06-01

    Previous studies have shown that poorly designed human-automation collaboration, such as poorly designed communication protocols, often leads to problems for the human operators, such as: lack of vigilance, complacency, and loss of skills. These problems often lead to suboptimal system performance. To address this situation, a considerable amount of research has been conducted to improve human-automation collaboration and to make automation function better as a “team player.” Much of this research is based on an understanding of what it means to be a good team player from the perspective of a human team. However, the research is often based on a simplified view of human teams and teamwork. In this study, we sought to better understand the capabilities and limitations of automation from the standpoint of human teams. We first examined human teams to identify the principles for effective teamwork. We next reviewed the research on integrating automation agents and human agents into mixed agent teams to identify the limitations of automation agents to conform to teamwork principles. This research resulted in insights that can lead to more effective human-automation collaboration by enabling a more realistic set of requirements to be developed based on the strengths and limitations of all agents.

  3. Solar total energy project Shenandoah

    SciTech Connect

    1980-01-10

    This document presents the description of the final design for the Solar Total Energy System (STES) to be installed at the Shenandoah, Georgia, site for utilization by the Bleyle knitwear plant. The system is a fully cascaded total energy system design featuring high temperature paraboloidal dish solar collectors with a 235 concentration ratio, a steam Rankine cycle power conversion system capable of supplying 100 to 400 kW(e) output with an intermediate process steam take-off point, and a back pressure condenser for heating and cooling. The design also includes an integrated control system employing the supervisory control concept to allow maximum experimental flexibility. The system design criteria and requirements are presented including the performance criteria and operating requirements, environmental conditions of operation; interface requirements with the Bleyle plant and the Georgia Power Company lines; maintenance, reliability, and testing requirements; health and safety requirements; and other applicable ordinances and codes. The major subsystems of the STES are described including the Solar Collection Subysystem (SCS), the Power Conversion Subsystem (PCS), the Thermal Utilization Subsystem (TUS), the Control and Instrumentation Subsystem (CAIS), and the Electrical Subsystem (ES). Each of these sections include design criteria and operational requirements specific to the subsystem, including interface requirements with the other subsystems, maintenance and reliability requirements, and testing and acceptance criteria. (WHK)

  4. A design for a thermal battery automated assembly station

    SciTech Connect

    Jacobs, D.; Herrig, D.M.

    1989-05-19

    Thermal battery assembly involves many operations which are labor intensive. In August 1986, a project team was formed at GE Neutron Devices to investigate and evaluate more efficient and productive battery assembly techniques through the use of automation. A plan was formulated to automate the piece part pellet fabrication and battery stacking operations by using computerized pellet presses and robots integrated by a main computer. This report details the conceptual design and development plan which was followed in the fabrication, development, and implementation of the thermal battery automated assembly station. 4 figs., 5 tabs.

  5. Total quality management implementation guidelines

    SciTech Connect

    Not Available

    1993-12-01

    These Guidelines were designed by the Energy Quality Council to help managers and supervisors in the Department of Energy Complex bring Total Quality Management to their organizations. Because the Department is composed of a rich mixture of diverse organizations, each with its own distinctive culture and quality history, these Guidelines are intended to be adapted by users to meet the particular needs of their organizations. For example, for organizations that are well along on their quality journeys and may already have achieved quality results, these Guidelines will provide a consistent methodology and terminology reference to foster their alignment with the overall Energy quality initiative. For organizations that are just beginning their quality journeys, these Guidelines will serve as a startup manual on quality principles applied in the Energy context.

  6. Total Imports of Residual Fuel

    Energy Information Administration (EIA) (indexed site)

    2010 2011 2012 2013 2014 2015 View History U.S. Total 133,646 119,888 93,672 82,173 63,294 69,914 1936-2015 PAD District 1 88,999 79,188 59,594 33,566 30,944 34,524 1981-2015 Connecticut 220 129 1995-2015 Delaware 748 1,704 510 1,604 2,479 1995-2015 Florida 15,713 11,654 10,589 8,331 5,055 7,198 1995-2015 Georgia 5,648 7,668 6,370 4,038 2,037 1,629 1995-2015 Maine 1,304 651 419 75 317 135 1995-2015 Maryland 3,638 1,779 1,238 433 938 589 1995-2015 Massachusetts 123 50 78 542 88 1995-2015 New

  7. Total Imports of Residual Fuel

    Energy Information Administration (EIA) (indexed site)

    Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 View History U.S. Total 8,596 6,340 4,707 8,092 8,512 8,017 1936-2016 PAD District 1 2,694 1,250 1,327 2,980 2,074 3,566 1981-2016 Connecticut 1995-2015 Delaware 280 231 385 1995-2016 Florida 800 200 531 499 765 1995-2016 Georgia 149 106 1995-2016 Maine 1995-2015 Maryland 84 66 1995-2016 Massachusetts 1995-2015 New Hampshire 1995-2015 New Jersey 1,073 734 355 1,984 399 1,501 1995-2016 New York 210 196 175 1,223 653 1995-2016 North Carolina 1995-2011

  8. Total quality management program planning

    SciTech Connect

    Thornton, P.T.; Spence, K.

    1994-05-01

    As government funding grows scarce, competition between the national laboratories is increasing dramatically. In this era of tougher competition, there is no for resistance to change. There must instead be a uniform commitment to improving the overall quality of our products (research and technology) and an increased focus on our customers` needs. There has been an ongoing effort to bring the principles of total quality management (TQM) to all Energy Systems employees to help them better prepare for future changes while responding to the pressures on federal budgets. The need exists for instituting a vigorous program of education and training to an understanding of the techniques needed to improve and initiate a change in organizational culture. The TQM facilitator is responsible for educating the work force on the benefits of self-managed work teams, designing a program of instruction for implementation, and thus getting TQM off the ground at the worker and first-line supervisory levels so that the benefits can flow back up. This program plan presents a conceptual model for TQM in the form of a hot air balloon. In this model, there are numerous factors which can individually and collectively impede the progress of TQM within the division and the Laboratory. When these factors are addressed and corrected, the benefits of TQM become more visible. As this occurs, it is hoped that workers and management alike will grasp the ``total quality`` concept as an acceptable agent for change and continual improvement. TQM can then rise to the occasion and take its rightful place as an integral and valid step in the Laboratory`s formula for survival.

  9. Transportation Organization and Functions

    Energy.gov [DOE]

    Office of Packaging and Transportation list of organizations and functions, with a list of acronyms.

  10. Efficient Mobility Summit: Transportation and the Future of Dynamic Mobility Systems

    SciTech Connect

    2015-12-01

    On October 27, 2015, The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) brought together local and national thought leaders to discuss the convergence of connectivity, vehicle automation, and transportation infrastructure investments at the Future Energy Efficient Mobility Workshop. The half-day workshop was held in conjunction with the Colorado Department of Transportation's (CDOT) Transportation Matters Summit and featured four panel sessions that showcased perspectives on efficient mobility from federal and state agencies, automakers and their suppliers, transportation data providers, and freight companies. This summary provides highlights from the meeting's exchanges of ideas and existing applications. Transportation's (CDOT) Transportation Matters Summit and featured four panel sessions that showcased perspectives on efficient mobility from federal and state agencies, automakers and their suppliers, transportation data providers, and freight companies. This summary provides highlights from the meeting's exchanges of ideas and existing applications.

  11. Using an automated code management system to improve configuration control practices

    SciTech Connect

    Meyer, S.

    1997-11-01

    This report contains viewgraphs on using an automated code management system to improve configuration control practice.

  12. 2014 Refresh Automated Frontpage Slideshow Header Text | OSTI...

    Office of Scientific and Technical Information (OSTI)

    Revision ID Field name Date Old state New state name By Comment Operations 16,564 Tue, 2016-05-10 15:23 Draft Published Justin Roby Publishing 2014 Refresh Automated Slideshow ...

  13. Fueling Robot Automates Hydrogen Hose Reliability Testing (Fact...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Automated robot mimics fueling action to test hydrogen hoses for durability in real-world ... the need for a reliable U.S. hydrogen fueling infrastructure is greater than ever. ...

  14. Assessment of the Current Level of Automation in the Manufacture...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Facility Capacity with Automation FuelCell Energy 350 kW 25 MW 70 MW 140 MW 280 MW ... Support for Cell and Stack Manufacture FuelCell Energy - Increase casting thickness ...

  15. Manz Automation India Pvt Ltd | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    India Pvt Ltd Jump to: navigation, search Name: Manz Automation India Pvt Ltd Place: New Delhi, Delhi (NCT), India Product: JV set up to sell cell and module manufacturing and test...

  16. Automated Home Energy Management Standing Technical Committee Presentation

    Energy.gov [DOE]

    This presentation outlines the goals of the Automated Home Energy Management Standing Technical Committee, as presented at the Building America Spring 2012 Stakeholder meeting on February 29, 2012, in Austin, Texas.

  17. Automated soil gas monitoring chamber (Patent) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Title: Automated soil gas monitoring chamber A chamber for trapping soil gases as they evolve from the soil without disturbance to the soil and to the natural microclimate within ...

  18. An automated high-frequency inductive voltage divider

    SciTech Connect

    Robinson, I.A.; Bryant, S.

    1994-12-31

    We have developed an automated 16-bit binary divider for use over the frequency range 5 kHz to 300 kHz. The divider has errors of a few ppm at 100 kHz.

  19. NREL: Transportation Research - Transportation and Hydrogen Newsletter

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation and Hydrogen Newsletter The Transportation and Hydrogen Newsletter is a monthly electronic newsletter that provides information on NREL's research, development, and deployment of transportation and hydrogen technologies. Photo of a stack of newspapers September 2016 Issue Fuels Performance Read the latest issue of the newsletter. Subscribe: To receive new issues by email, subscribe to the newsletter. Archives: For past issues, read the newsletter archives. Printable Version

  20. NREL: Transportation Research - Sustainable Transportation Basics

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation Basics Compare Vehicle Technologies 3-D illustration of electric car diagramming energy storage, power electronics, and climate control components. The following links to the U.S. Department of Energy's Alternative Fuels Data Center (AFDC) provide an introduction to sustainable transportation. NREL research supports development of electric, hybrid, hydrogen fuel cell, biofuel, natural gas, and propane vehicle technologies. Learn more about vehicles, fuels, and transportation

  1. NREL: Transportation Research - Transportation Deployment Support

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation Deployment Support Photo of a car parked in front of a monument. A plug-in electric vehicle charges near the Thomas Jefferson Memorial in Washington, D.C. Photo from Julie Sutor, NREL NREL's transportation deployment team works with vehicle fleets, fuel providers, and other transportation stakeholders to help deploy alternative and renewable fuels, advanced vehicles, fuel economy improvements, and fleet-level efficiencies that reduce emissions and petroleum dependence. In

  2. Automated D/3 to Visio Analog Diagrams

    Energy Science and Technology Software Center

    2000-08-10

    ADVAD1 reads an ASCII file containing the D/3 DCS MDL input for analog points for a D/3 continuous database. It uses the information in the files to create a series of Visio files representing the structure of each analog chain, one drawing per Visio file. The actual drawing function is performed by Visio (requires Visio version 4.5+). The user can configure the program to select which fields in the database are shown on the diagrammore » and how the information is to be presented. This gives a visual representation of the structure of the analog chains, showing selected fields in a consistent manner. Updating documentation can be done easily and the automated approach eliminates human error in the cadding process. The program can also create the drawings far faster than a human operator is capable, able to create approximately 270 typical diagrams in about 8 minutes on a Pentium II 400 MHz PC. The program allows for multiple option sets to be saved to provide different settings (i.e., different fields, different field presentations, and /or different diagram layouts) for various scenarios or facilities on one workstation. Option sets may be exported from the Windows registry to allow duplication of settings on another workstation.« less

  3. Automated Design Space Exploration with Aspen

    DOE PAGES [OSTI]

    Spafford, Kyle L.; Vetter, Jeffrey S.

    2015-01-01

    Architects and applications scientists often use performance models to explore a multidimensional design space of architectural characteristics, algorithm designs, and application parameters. With traditional performance modeling tools, these explorations forced users to first develop a performance model and then repeatedly evaluate and analyze the model manually. These manual investigations proved laborious and error prone. More importantly, the complexity of this traditional process often forced users to simplify their investigations. To address this challenge of design space exploration, we extend our Aspen (Abstract Scalable Performance Engineering Notation) language with three new language constructs: user-defined resources, parameter ranges, and a collection ofmore » costs in the abstract machine model. Then, we use these constructs to enable automated design space exploration via a nonlinear optimization solver. We show how four interesting classes of design space exploration scenarios can be derived from Aspen models and formulated as pure nonlinear programs. The analysis tools are demonstrated using examples based on Aspen models for a three-dimensional Fast Fourier Transform, the CoMD molecular dynamics proxy application, and the DARPA Streaming Sensor Challenge Problem. Our results show that this approach can compose and solve arbitrary performance modeling questions quickly and rigorously when compared to the traditional manual approach.« less

  4. Automated analysis of failure event data

    SciTech Connect

    HENNESSY,COREY; FREERKS,FRED; CAMPBELL,JAMES E.; THOMPSON,BRUCE M.

    2000-03-27

    This paper focuses on fully automated analysis of failure event data in the concept and early development stage of a semiconductor-manufacturing tool. In addition to presenting a wide range of statistical and machine-specific performance information, algorithms have been developed to examine reliability growth and to identify major contributors to unreliability. These capabilities are being implemented in a new software package called Reliadigm. When coupled with additional input regarding repair times and parts availability, the analysis software also provides spare parts inventory optimization based on genetic optimization methods. The type of question to be answered is: If this tool were placed with a customer for beta testing, what would be the optimal spares kit to meet equipment reliability goals for the lowest cost? The new algorithms are implemented in Windows{reg_sign} software and are easy to apply. This paper presents a preliminary analysis of failure event data from three IDEA machines currently in development. The paper also includes an optimal spare parts kit analysis.

  5. Chip breaking system for automated machine tool

    DOEpatents

    Arehart, Theodore A.; Carey, Donald O.

    1987-01-01

    The invention is a rotary selectively directional valve assembly for use in an automated turret lathe for directing a stream of high pressure liquid machining coolant to the interface of a machine tool and workpiece for breaking up ribbon-shaped chips during the formation thereof so as to inhibit scratching or other marring of the machined surfaces by these ribbon-shaped chips. The valve assembly is provided by a manifold arrangement having a plurality of circumferentially spaced apart ports each coupled to a machine tool. The manifold is rotatable with the turret when the turret is positioned for alignment of a machine tool in a machining relationship with the workpiece. The manifold is connected to a non-rotational header having a single passageway therethrough which conveys the high pressure coolant to only the port in the manifold which is in registry with the tool disposed in a working relationship with the workpiece. To position the machine tools the turret is rotated and one of the tools is placed in a material-removing relationship of the workpiece. The passageway in the header and one of the ports in the manifold arrangement are then automatically aligned to supply the machining coolant to the machine tool workpiece interface for breaking up of the chips as well as cooling the tool and workpiece during the machining operation.

  6. Automated radiotherapy treatment plan integrity verification

    SciTech Connect

    Yang Deshan; Moore, Kevin L.

    2012-03-15

    Purpose: In our clinic, physicists spend from 15 to 60 min to verify the physical and dosimetric integrity of radiotherapy plans before presentation to radiation oncology physicians for approval. The purpose of this study was to design and implement a framework to automate as many elements of this quality control (QC) step as possible. Methods: A comprehensive computer application was developed to carry out a majority of these verification tasks in the Philips PINNACLE treatment planning system (TPS). This QC tool functions based on both PINNACLE scripting elements and PERL sub-routines. The core of this technique is the method of dynamic scripting, which involves a PERL programming module that is flexible and powerful for treatment plan data handling. Run-time plan data are collected, saved into temporary files, and analyzed against standard values and predefined logical rules. The results were summarized in a hypertext markup language (HTML) report that is displayed to the user. Results: This tool has been in clinical use for over a year. The occurrence frequency of technical problems, which would cause delays and suboptimal plans, has been reduced since clinical implementation. Conclusions: In addition to drastically reducing the set of human-driven logical comparisons, this QC tool also accomplished some tasks that are otherwise either quite laborious or impractical for humans to verify, e.g., identifying conflicts amongst IMRT optimization objectives.

  7. Automation Enhancement of Multilayer Laue Lenses

    SciTech Connect

    Lauer K. R.; Conley R.

    2010-12-01

    X-ray optics fabrication at Brookhaven National Laboratory has been facilitated by a new, state of the art magnetron sputtering physical deposition system. With its nine magnetron sputtering cathodes and substrate carrier that moves on a linear rail via a UHV brushless linear servo motor, the system is capable of accurately depositing the many thousands of layers necessary for multilayer Laue lenses. I have engineered a versatile and automated control program from scratch for the base system and many subsystems. Its main features include a custom scripting language, a fully customizable graphical user interface, wireless and remote control, and a terminal-based interface. This control system has already been successfully used in the creation of many types of x-ray optics, including several thousand layer multilayer Laue lenses.Before reaching the point at which a deposition can be run, stencil-like masks for the sputtering cathodes must be created to ensure the proper distribution of sputtered atoms. Quality of multilayer Laue lenses can also be difficult to measure, given the size of the thin film layers. I employ my knowledge of software and algorithms to further ease these previously painstaking processes with custom programs. Additionally, I will give an overview of an x-ray optic simulator package I helped develop during the summer of 2010. In the interest of keeping my software free and open, I have worked mostly with the multiplatform Python and the PyQt application framework, utilizing C and C++ where necessary.

  8. NREL: Transportation Research - News

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    News NREL provides a number of transportation and hydrogen news sources. Transportation News Find news stories that highlight NREL's transportation research, development, and deployment (RD&D) activities, including work on vehicles and fuels. Hydrogen and Fuel Cells News Find news stories that highlight NREL's hydrogen RD&D activities, including work on fuel cell electric vehicle technologies. Transportation and Hydrogen Newsletter Stay up to date on NREL's RD&D of transportation and

  9. Global health response more accurate with automated influenza surveillance

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Global health response more accurate with automated influenza surveillance Global health response more accurate with automated influenza surveillance Public health officials will be able to determine whether an outbreak of an infectious disease comes from a pandemic strain or one less virulent. January 31, 2011 Lance Green of LANL tests an earlier version of a modular laboratory like the ones that will be part of the High-Throughput Laboratory Network Lance Green of LANL tests an earlier version

  10. Automated Process for the Fabrication of Highly Customized Thermally

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Insulated Cladding Systems | Department of Energy Automated Process for the Fabrication of Highly Customized Thermally Insulated Cladding Systems Automated Process for the Fabrication of Highly Customized Thermally Insulated Cladding Systems 1 of 2 Resin casting prototype Image: Worcester Polytechnic Institute 2 of 2 A project member completes cuts foam insulating via a process known as computer numerically controlled (CNC) foam cutting. Image: Worcester Polytechnic Institute Lead Performer:

  11. Highly Insulating Residential Windows Using Smart Automated Shading |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Highly Insulating Residential Windows Using Smart Automated Shading Highly Insulating Residential Windows Using Smart Automated Shading 1 of 3 Residential Smart Window with integrated sensors, control logic and a motorized shade between glass panes. Image: Lawrence Berkeley National Laboratory 2 of 3 Residential Smart Window with integrated sensors, control logic and a motorized shade between glass panes. Image: Lawrence Berkeley National Laboratory 3 of 3 Residential

  12. Sandia National Laboratories: Research: High Consequence, Automation, &

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Robotics: Research & Development Research & Development Gemini Scout Sandia's High Consequence, Automation, & Robotics (HCAR) group has the capabilities, expertise, and experience to develop advanced automation solutions for a variety of complex and high-consequence tasks and missions. HCAR has expertise in six core research areas that are the foundations for robotic and intelligent systems research and development. Bringing these core research areas together and leveraging the

  13. RADIUS: Rapid Automated Decomposition of Images for Ubiquitous Sensing

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4-21456 This document is approved for public release; further dissemination unlimited Rapid Automated Decomposition of Images for Ubiquitous Sensing RADIUS: RADIUS: State-of-the-art pixel and color based methods do not exploit the multiscale spatial and structural cues in images for effective and efficient analysis * Miss large or small features * Limited scalability to large images Increased analyst performance * Real-time automated image analysis * Direct analyst to selected features in the

  14. The Advanced Automation for Powder Diffraction toward Industrial Application

    SciTech Connect

    Osaka, Keiichi; Matsumoto, Takuya; Miura, Keiko; Sato, Masugu; Hirosawa, Ichiro; Watanabe, Yoshio

    2010-06-23

    A highly automated system for powder diffraction with synchrotron radiation was installed on the large Debye-Scherrer camera at the BL19B2 Engineering Science Research I beamline of SPring-8. Combined with a sample transfer and an automated centering system, we have succeeded in increasing the ratio of exposure time in the user beam time to 85%. The proposed system can be applied to a wide range of industrial uses.

  15. Sandia National Laboratories: Research: High Consequence, Automation, &

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Robotics: One-Control Many One-Control Many One Control Many Diagram As unmanned systems (UMS) are increasingly used in the battlefield, advantages provided by strategy, tactics, and training must be translated into UMS control systems. It's a challenge to effectively control large numbers of UMS. The human operator must focus on high-level perception, tactics, and strategy while the system automates lower-level functions. High Consequence, Automation, & Robotics (HCAR) is working to

  16. Streamlining and automation of radioanalytical methods at a commercial laboratory

    SciTech Connect

    Harvey, J.T.; Dillard, J.W.

    1993-12-31

    Through the careful planning and design of laboratory facilities and incorporation of modern instrumentation and robotics systems, properly trained and competent laboratory associates can efficiently and safely handle radioactive and mixed waste samples. This paper addresses the potential improvements radiochemistry and mixed waste laboratories can achieve utilizing robotics for automated sample analysis. Several examples of automated systems for sample preparation and analysis will be discussed.

  17. Automated Process for the Fabrication of Highly Customized Thermally

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Insulated Cladding Systems | Department of Energy Automated Process for the Fabrication of Highly Customized Thermally Insulated Cladding Systems Automated Process for the Fabrication of Highly Customized Thermally Insulated Cladding Systems Addthis 1 of 2 Resin casting prototype Image: Worcester Polytechnic Institute 2 of 2 A project member completes cuts foam insulating via a process known as computer numerically controlled (CNC) foam cutting. Image: Worcester Polytechnic Institute

  18. Automated Steel Cleanliness Analysis Tool (ASCAT) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Automated Steel Cleanliness Analysis Tool (ASCAT) Automated Steel Cleanliness Analysis Tool (ASCAT) New Microscopy System Improves Steel Mill Performance and Allows Production of Higher Quality Steel Inclusions are particles of insoluble impurities formed during steelmaking and casting operations that are entrapped during solidification of metal. Characterizing inclusions is important because of an increasing demand for cleaner steels with low inclusion (defect) content. The composition, and

  19. Highly Insulating Residential Windows Using Smart Automated Shading |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Highly Insulating Residential Windows Using Smart Automated Shading Highly Insulating Residential Windows Using Smart Automated Shading Addthis 1 of 3 Residential Smart Window with integrated sensors, control logic and a motorized shade between glass panes. Image: Lawrence Berkeley National Laboratory 2 of 3 Residential Smart Window with integrated sensors, control logic and a motorized shade between glass panes. Image: Lawrence Berkeley National Laboratory 3 of 3

  20. Estimate of Fuel Consumption and GHG Emission Impact from an Automated Mobility District

    SciTech Connect

    Chen, Yuche; Young, Stanley; Qi, Xuewei; Gonder, Jeffrey

    2015-10-19

    This study estimates the range of fuel and emissions impact of an automated-vehicle (AV) based transit system that services campus-based developments, termed an automated mobility district (AMD). The study develops a framework to quantify the fuel consumption and greenhouse gas (GHG) emission impacts of a transit system comprised of AVs, taking into consideration average vehicle fleet composition, fuel consumption/GHG emission of vehicles within specific speed bins, and the average occupancy of passenger vehicles and transit vehicles. The framework is exercised using a previous mobility analysis of a personal rapid transit (PRT) system, a system which shares many attributes with envisioned AV-based transit systems. Total fuel consumption and GHG emissions with and without an AMD are estimated, providing a range of potential system impacts on sustainability. The results of a previous case study based of a proposed implementation of PRT on the Kansas State University (KSU) campus in Manhattan, Kansas, serves as the basis to estimate personal miles traveled supplanted by an AMD at varying levels of service. The results show that an AMD has the potential to reduce total system fuel consumption and GHG emissions, but the amount is largely dependent on operating and ridership assumptions. The study points to the need to better understand ride-sharing scenarios and calls for future research on sustainability benefits of an AMD system at both vehicle and system levels.

  1. Estimate of Fuel Consumption and GHG Emission Impact on an Automated Mobility District: Preprint

    SciTech Connect

    Chen, Yuche; Young, Stanley; Gonder, Jeff; Qi, Xuewei

    2015-12-11

    This study estimates the range of fuel and emissions impact of an automated-vehicle (AV) based transit system that services campus-based developments, termed an automated mobility district (AMD). The study develops a framework to quantify the fuel consumption and greenhouse gas (GHG) emission impacts of a transit system comprised of AVs, taking into consideration average vehicle fleet composition, fuel consumption/GHG emission of vehicles within specific speed bins, and the average occupancy of passenger vehicles and transit vehicles. The framework is exercised using a previous mobility analysis of a personal rapid transit (PRT) system, a system which shares many attributes with envisioned AV-based transit systems. Total fuel consumption and GHG emissions with and without an AMD are estimated, providing a range of potential system impacts on sustainability. The results of a previous case study based of a proposed implementation of PRT on the Kansas State University (KSU) campus in Manhattan, Kansas, serves as the basis to estimate personal miles traveled supplanted by an AMD at varying levels of service. The results show that an AMD has the potential to reduce total system fuel consumption and GHG emissions, but the amount is largely dependent on operating and ridership assumptions. The study points to the need to better understand ride-sharing scenarios and calls for future research on sustainability benefits of an AMD system at both vehicle and system levels.

  2. Total-derivative supersymmetry breaking

    SciTech Connect

    Haba, Naoyuki; Uekusa, Nobuhiro

    2010-05-15

    On an interval compactification in supersymmetric theory, boundary conditions for bulk fields must be treated carefully. If they are taken arbitrarily following the requirement that a theory is supersymmetric, the conditions could give redundant constraints on the theory. We construct a supersymmetric action integral on an interval by introducing brane interactions with which total-derivative terms under the supersymmetry transformation become zero due to a cancellation. The variational principle leads equations of motion and also boundary conditions for bulk fields, which determine boundary values of bulk fields. By estimating mass spectrum, spontaneous supersymmetry breaking in this simple setup can be realized in a new framework. This supersymmetry breaking does not induce a massless R axion, which is favorable for phenomenology. It is worth noting that fermions in hyper-multiplet, gauge bosons, and the fifth-dimensional component of gauge bosons can have zero-modes (while the other components are all massive as Kaluza-Klein modes), which fits the gauge-Higgs unification scenarios.

  3. Design and performance of an automated video-based laser beam alignment system

    SciTech Connect

    Rundle, W.J. ); Kartz, M.W. ); Bliss, E.S.; English, R.E. Jr.; Peterson, R.L.; Thompson, G.R.; Uhlich, D.M. )

    1992-07-14

    This paper describes the design and performance of an automated, closed-loop, laser beam alignment system. Its function is to sense a beam alignment error in a laser beam transport system and automatically steer mirrors preceding the sensor location as required to maintain beam alignment. The laser beam is sampled by an optomechanical package which uses video cameras to sense pointing and centering errors. The camera outputs are fed to an image processing module, which includes video digitizers and uses image storage and software to sense the centroid of the image. Signals are sent through a VMEbus to an optical device controller'' (ODC), which drives stepper-motor actuators on mirror mounts preceding the beam-sampling location to return the beam alignment to the prescribed condition. Photodiodes are also used to extend the control bandwidth beyond that which is achievable with video cameras. This system has been operated at LLNL in the Atomic Vapor Laser Isotope Separation (AVLIS) program to maintain the alignment of copper and dye laser beams, the latter to within [plus minus]2 [mu]r in pointing and less than 1 mm in centering. The optomechanical design of the instrumented package, which includes lens, mirror, and video mounts in a rigid housing, the automated control system architecture, and the performance of this equipment is described.

  4. Design and performance of an automated video-based laser beam alignment system

    SciTech Connect

    Rundle, W.J.; Kartz, M.W.; Bliss, E.S.; English, R.E. Jr.; Peterson, R.L.; Thompson, G.R.; Uhlich, D.M.

    1992-07-14

    This paper describes the design and performance of an automated, closed-loop, laser beam alignment system. Its function is to sense a beam alignment error in a laser beam transport system and automatically steer mirrors preceding the sensor location as required to maintain beam alignment. The laser beam is sampled by an optomechanical package which uses video cameras to sense pointing and centering errors. The camera outputs are fed to an image processing module, which includes video digitizers and uses image storage and software to sense the centroid of the image. Signals are sent through a VMEbus to an ``optical device controller`` (ODC), which drives stepper-motor actuators on mirror mounts preceding the beam-sampling location to return the beam alignment to the prescribed condition. Photodiodes are also used to extend the control bandwidth beyond that which is achievable with video cameras. This system has been operated at LLNL in the Atomic Vapor Laser Isotope Separation (AVLIS) program to maintain the alignment of copper and dye laser beams, the latter to within {plus_minus}2 {mu}r in pointing and less than 1 mm in centering. The optomechanical design of the instrumented package, which includes lens, mirror, and video mounts in a rigid housing, the automated control system architecture, and the performance of this equipment is described.

  5. Process development for automated solar-cell and module production. Task 4. Automated array assembly. Quarterly report No. 3

    SciTech Connect

    Hagerty, J. J.; Gifford, M.

    1981-04-15

    The Automated Lamination Station is mechanically complete and is currently undergoing final wiring. The high current driver and isolator boards have been completed and installed, and the main interface board is under construction. The automated vacuum chamber has had a minor redesign to increase stiffness and improve the cover open/close mechanism. Design of the Final Assembly Station has been completed and construction is underway.

  6. ,"West Virginia Natural Gas Total Consumption (MMcf)"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","West Virginia Natural Gas Total Consumption ... AM" "Back to Contents","Data 1: West Virginia Natural Gas Total Consumption (MMcf)" ...

  7. ,"Total Crude Oil and Petroleum Products Exports"

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Total Crude Oil and Petroleum Products ... "Back to Contents","Data 1: Total Crude Oil and Petroleum Products Exports" ...

  8. Total Space Heating Water Heating Cook-

    Annual Energy Outlook

    Commercial Buildings Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing...

  9. Total Natural Gas Underground Storage Capacity

    Energy Information Administration (EIA) (indexed site)

    Total Working Gas Capacity Total Number of Existing Fields Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources ...

  10. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,870 1,276...

  11. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update

    Energy Consumption Survey: Energy End-Use Consumption Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All...

  12. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 1,602 1,397...

  13. Total Space Heating Water Heating Cook-

    Gasoline and Diesel Fuel Update

    Released: September, 2008 Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings ... 2,037...

  14. A survey on the coordination of connected and automated vehicles at intersections and merging at highway on-ramps

    DOE PAGES [OSTI]

    Rios-Torres, Jackeline; Malikopoulos, Andreas A.

    2016-09-07

    Connected and automated vehicles (CAVs) have the potential to improve safety by reducing and mitigating traffic accidents. They can also provide opportunities to reduce transportation energy consumption and emissions by improving traffic flow. Vehicle communication with traffic structures and traffic lights can allow individual vehicles to optimize their operation and account for unpredictable changes. This paper summarizes the developments and the research trends in coordination with the CAVs that have been reported in the literature to date. In conclusion, remaining challenges and potential future research directions are also discussed.

  15. Secure Transportation Management

    SciTech Connect

    Gibbs, P. W.

    2014-10-15

    Secure Transport Management Course (STMC) course provides managers with information related to procedures and equipment used to successfully transport special nuclear material. This workshop outlines these procedures and reinforces the information presented with the aid of numerous practical examples. The course focuses on understanding the regulatory framework for secure transportation of special nuclear materials, identifying the insider and outsider threat(s) to secure transportation, organization of a secure transportation unit, management and supervision of secure transportation units, equipment and facilities required, training and qualification needed.

  16. Distribution automation pilot project at Georgia Power Company. Final report

    SciTech Connect

    Hall, J.M.

    1997-12-01

    This report includes a Benefit-Cost Study for Distribution Automation (DA) at Georgia Power Company, an Evaluation of two communication systems for Distribution Automation, and Development and Evaluation of a standards-based interface between an AM/FM system and SCADA. The Benefit-Cost Study addresses the functional requirements and performance of the major Distribution Automation functions under GPC`s conditions. Five implementation scenarios for Distribution Automation are analyzed. The performance of the DA functions is simulated for four prototype GPC substations in the Carrollton and Tucker areas. The results of the simulation are extrapolated for the entire GPC distribution system. A number of reliability related functions along with real-time modeling and volt/var control functions are recommended for implementation at GPC. GPC has installed two pilot communication systems for Distribution Automation. Both pilot systems use proprietary radio technologies for communications with pole-top power system devices and customer meters. One of these systems, in the Carrollton area, uses a Metricom{trademark} UtiliNet{trademark} radio system, and the other, in the Tucker area, uses a CellNet{trademark} Data Systems, Inc. CellNet radio system. The performance of these two systems is described and evaluated in the project. The advantages and disadvantages of the communication systems for the recommended distribution automation system at GPC are analyzed. A transfer format from a mapping and facilities database to a SCADA database for the Georgia Power Company was developed and tested for the project. The mapping and facilities database is implemented as an Oracle database in the ARC/Info AM/FM/GIS application by ESRI, and the SCADA database is implemented on the OASyS 5.0 SCADA platform provided by Valmet Automation. The National Transfer Format (NTF) is the vehicle for the transfer of data from the GIS to the SCADA system.

  17. Transportation Management Workshop: Proceedings

    SciTech Connect

    Not Available

    1993-10-01

    This report is a compilation of discussions presented at the Transportation Management Workshop held in Gaithersburg, Maryland. Topics include waste packaging, personnel training, robotics, transportation routing, certification, containers, and waste classification.

  18. Packaging and Transportation Safety

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    2010-05-14

    The order establishes safety requirements for the proper packaging and transportation of DOE, including NNSA, offsite shipments and onsite transfers of radioactive and other hazardous materials and for modal transportation. Supersedes DOE O 460.1B.

  19. Packaging and Transportation Safety

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1995-09-27

    Establishes safety requirements for the proper packaging and transportation of offsite shipments and onsite transfers of hazardous materials andor modal transport. Cancels DOE 1540.2 and DOE 5480.3

  20. Packaging and Transportation Safety

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1995-09-27

    Establishes safety requirements for the proper packaging and transportation of Department of Energy (DOE) offsite shipments and onsite transfers of hazardous materials and for modal transport. Canceled by DOE 460.1A

  1. Packaging and Transportation Safety

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1996-10-02

    Establishes safety requirements for the proper packaging and transportation of Department of Energy (DOE) offsite shipments and onsite transfers of hazardous materials and for modal transport. Cancels DOE O 460.1.

  2. Biosensor discovery of thyroxine transport disrupting chemicals

    SciTech Connect

    Marchesini, Gerardo R. Meimaridou, Anastasia; Haasnoot, Willem; Meulenberg, Eline; Albertus, Faywell; Mizuguchi, Mineyuki; Takeuchi, Makoto; Irth, Hubertus; Murk, Albertinka J.

    2008-10-01

    Ubiquitous chemicals may interfere with the thyroid system that is essential in the development and physiology of vertebrates. We applied a surface plasmon resonance (SPR) biosensor-based screening method for the fast screening of chemicals with thyroxine (T4) transport disrupting activity. Two inhibition assays using the main thyroid hormone transport proteins, T4 binding globulin (TBG) and transthyretin (TTR), in combination with a T4-coated biosensor chip were optimized and automated for screening chemical libraries. The transport protein-based biosensor assays were rapid, high throughput and bioeffect-related. A library of 62 chemicals including the natural hormones, polychlorinated biphenyls (PCBs), polybrominated diphenylethers (PBDEs) and metabolites, halogenated bisphenol A (BPA), halogenated phenols, pharmaceuticals, pesticides and other potential environmentally relevant chemicals was tested with the two assays. We discovered ten new active compounds with moderate to high affinity for TBG with the TBG assay. Strikingly, the most potent binding was observed with hydroxylated metabolites of the brominated diphenyl ethers (BDEs) BDE 47, BDE 49 and BDE 99, that are commonly found in human plasma. The TTR assay confirmed the activity of previously identified hydroxylated metabolites of PCBs and PBDEs, halogenated BPA and genistein. These results show that the hydroxylated metabolites of the ubiquitous PBDEs not only target the T4 transport at the TTR level, but also, and to a great extent, at the TBG level where most of the T4 in humans is circulating. The optimized SPR biosensor-based transport protein assay is a suitable method for high throughput screening of large libraries for potential thyroid hormone disrupting compounds.

  3. NREL: Innovation Impact - Transportation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation Menu Home Home Solar Solar Wind Wind Analysis Analysis Bioenergy Bioenergy Buildings Buildings Transportation Transportation Manufacturing Manufacturing Energy Systems Integration Energy Systems Integration Improved transportation technologies are essential for reducing U.S. petroleum dependence. Close The United States consumes roughly 19 million barrels of petroleum per day, but replacing petroleum-based liquid fuels is difficult because of their high energy density, which helps

  4. Centrifuge Techniques and Apparatus for Transport Experiments in Porous Media

    SciTech Connect

    Earl D. Mattson; Carl D. Paler; Robert W. Smith; Markus Flury

    2010-06-01

    This paper describes experimental approaches and apparatus that we have developed to study solute and colloid transport in porous media using Idaho National Laboratory's 2-m radius centrifuge. The ex-perimental techniques include water flux scaling with applied acceleration at the top of the column and sub-atmospheric pressure control at the column base, automation of data collection, and remote experimental con-trol over the internet. These apparatus include a constant displacement piston pump, a custom designed liquid fraction collector based on switching valve technology, and modified moisture monitoring equipment. Suc-cessful development of these experimental techniques and equipment is illustrated through application to transport of a conservative tracer through unsaturated sand column, with centrifugal acceleration up to 40 gs. Development of such experimental equipment that can withstand high accelerations enhances the centrifuge technique to conduct highly controlled unsaturated solute/colloid transport experiments and allows in-flight liquid sample collection of the effluent.

  5. Water Transport Within the STack: Water Transport Exploratory...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Within the STack: Water Transport Exploratory Studies Water Transport Within the STack: Water Transport Exploratory Studies Part of a 100 million fuel cell award announced by DOE ...

  6. Transportation energy data book: edition 16

    SciTech Connect

    Davis, S.C.; McFarlin, D.N.

    1996-07-01

    The Transportation Energy Data Book: Edition 16 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of Transportation Technologies in the Department of Energy (DOE). Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. Each of the major transportation modes is treated in separate chapters or sections. Chapter 1 compares U.S. transportation data with data from other countries. Aggregate energy use and energy supply data for all modes are presented in Chapter 2. The highway mode, which accounts for over three-fourths of total transportation energy consumption, is dealt with in Chapter 3. Topics in this chapter include automobiles, trucks, buses, fleet vehicles, federal standards, fuel economies, and high- occupancy vehicle lane data. Household travel behavior characteristics are displayed in Chapter 4. Chapter 5 contains information on alternative fuels and alternative fuel vehicles. Chapter 6 covers the major nonhighway modes: air, water, and rail. The last chapter, Chapter 7, presents data on environmental issues relating to transportation.

  7. NREL: Transportation Research - Publications

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Publications NREL researchers document their findings in technical reports, conference papers, journal articles, and fact sheets. Visit the following online resources to find publications about sustainable transportation research, development, and deployment. Capabilities Overviews These recent publications highlight some of our capabilities, facilities, and projects: Image of fact sheet cover. Sustainable Transportation This overview fact sheet describes NREL's sustainable transportation

  8. Integrated, Automated Distributed Generation Technologies Demonstration

    SciTech Connect

    Jensen, Kevin

    2014-09-30

    The purpose of the NETL Project was to develop a diverse combination of distributed renewable generation technologies and controls and demonstrate how the renewable generation could help manage substation peak demand at the ATK Promontory plant site. The Promontory plant site is located in the northwestern Utah desert approximately 25 miles west of Brigham City, Utah. The plant encompasses 20,000 acres and has over 500 buildings. The ATK Promontory plant primarily manufactures solid propellant rocket motors for both commercial and government launch systems. The original project objectives focused on distributed generation; a 100 kW (kilowatt) wind turbine, a 100 kW new technology waste heat generation unit, a 500 kW energy storage system, and an intelligent system-wide automation system to monitor and control the renewable energy devices then release the stored energy during the peak demand time. The original goal was to reduce peak demand from the electrical utility company, Rocky Mountain Power (RMP), by 3.4%. For a period of time we also sought to integrate our energy storage requirements with a flywheel storage system (500 kW) proposed for the Promontory/RMP Substation. Ultimately the flywheel storage system could not meet our project timetable, so the storage requirement was switched to a battery storage system (300 kW.) A secondary objective was to design/install a bi-directional customer/utility gateway application for real-time visibility and communications between RMP, and ATK. This objective was not achieved because of technical issues with RMP, ATK Information Technology Department’s stringent requirements based on being a rocket motor manufacturing facility, and budget constraints. Of the original objectives, the following were achieved: • Installation of a 100 kW wind turbine. • Installation of a 300 kW battery storage system. • Integrated control system installed to offset electrical demand by releasing stored energy from renewable sources

  9. Framework for Human-Automation Collaboration: Conclusions from Four Studies

    SciTech Connect

    Johanna Oxstrand; Katya L. Le Blanc; John O'Hara; Jeffrey C. Joe; April M. Whaley; Heather Medema

    2013-11-01

    The Human Automation Collaboration (HAC) research project is investigating how advanced technologies that are planned for Advanced Small Modular Reactors (AdvSMR) will affect the performance and the reliability of the plant from a human factors and human performance perspective. The HAC research effort investigates the consequences of allocating functions between the operators and automated systems. More specifically, the research team is addressing how to best design the collaboration between the operators and the automated systems in a manner that has the greatest positive impact on overall plant performance and reliability. Oxstrand et al. (2013 - March) describes the efforts conducted by the researchers to identify the research needs for HAC. The research team reviewed the literature on HAC, developed a model of HAC, and identified gaps in the existing knowledge of human-automation collaboration. As described in Oxstrand et al. (2013 – June), the team then prioritized the research topics identified based on the specific needs in the context of AdvSMR. The prioritization was based on two sources of input: 1) The preliminary functions and tasks, and 2) The model of HAC. As a result, three analytical studies were planned and conduced; 1) Models of Teamwork, 2) Standardized HAC Performance Measurement Battery, and 3) Initiators and Triggering Conditions for Adaptive Automation. Additionally, one field study was also conducted at Idaho Falls Power.

  10. Open Automated Demand Response Communications Specification (Version 1.0)

    SciTech Connect

    Piette, Mary Ann; Ghatikar, Girish; Kiliccote, Sila; Koch, Ed; Hennage, Dan; Palensky, Peter; McParland, Charles

    2009-02-28

    The development of the Open Automated Demand Response Communications Specification, also known as OpenADR or Open Auto-DR, began in 2002 following the California electricity crisis. The work has been carried out by the Demand Response Research Center (DRRC), which is managed by Lawrence Berkeley National Laboratory. This specification describes an open standards-based communications data model designed to facilitate sending and receiving demand response price and reliability signals from a utility or Independent System Operator to electric customers. OpenADR is one element of the Smart Grid information and communications technologies that are being developed to improve optimization between electric supply and demand. The intention of the open automated demand response communications data model is to provide interoperable signals to building and industrial control systems that are preprogrammed to take action based on a demand response signal, enabling a demand response event to be fully automated, with no manual intervention. The OpenADR specification is a flexible infrastructure to facilitate common information exchange between the utility or Independent System Operator and end-use participants. The concept of an open specification is intended to allow anyone to implement the signaling systems, the automation server or the automation clients.

  11. Automated Proactive Techniques for Commissioning Air-Handling Units

    SciTech Connect

    Katipamula, Srinivas ); Brambley, Michael R. ); Luskay, Larry

    2003-08-30

    Many buildings today use sophisticated building automation systems (BASs) to manage a wide and varied range of building systems. Although the capabilities of the BASs seem to have increased over time, many buildings still are not properly commissioned, operated or maintained. Lack of or improper commissioning, the inability of the building operators to grasp the complex controls, and lack of proper maintenance leads to inefficient operations and reduced lifetimes of the equipment. If regularly scheduled manual maintenance or re-commissioning practices are adopted, they can be expensive and time consuming. Automated proactive commissioning and diagnostic technologies address two of the main barriers to commissioning: cost and schedules. Automated proactive continuous commissioning tools can reduce both the cost and time associated with commissioning, as well as enhance the persistence of commissioning fixes. In the long run, automation even offers the potential for automatically correcting problems by reconfiguring controls or changing control algorithms dynamically. This paper will discuss procedures and processes that can be used to automate and continuously commission the economizer operation and outdoor-air ventilation systems of an air-handling unit.

  12. NREL: Transportation Research - Transportation and Hydrogen Newsletter...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    This is the May 2015 issue of the Transportation and Hydrogen Newsletter. May 28, 2015 Photo of a car refueling at a hydrogen dispensing station. DOE's H2FIRST project focuses on ...

  13. Automated Cache Performance Analysis And Optimization

    SciTech Connect

    Mohror, Kathryn

    2013-12-23

    While there is no lack of performance counter tools for coarse-grained measurement of cache activity, there is a critical lack of tools for relating data layout to cache behavior to application performance. Generally, any nontrivial optimizations are either not done at all, or are done ”by hand” requiring significant time and expertise. To the best of our knowledge no tool available to users measures the latency of memory reference instructions for partic- ular addresses and makes this information available to users in an easy-to-use and intuitive way. In this project, we worked to enable the Open|SpeedShop performance analysis tool to gather memory reference latency information for specific instructions and memory ad- dresses, and to gather and display this information in an easy-to-use and intuitive way to aid performance analysts in identifying problematic data structures in their codes. This tool was primarily designed for use in the supercomputer domain as well as grid, cluster, cloud-based parallel e-commerce, and engineering systems and middleware. Ultimately, we envision a tool to automate optimization of application cache layout and utilization in the Open|SpeedShop performance analysis tool. To commercialize this soft- ware, we worked to develop core capabilities for gathering enhanced memory usage per- formance data from applications and create and apply novel methods for automatic data structure layout optimizations, tailoring the overall approach to support existing supercom- puter and cluster programming models and constraints. In this Phase I project, we focused on infrastructure necessary to gather performance data and present it in an intuitive way to users. With the advent of enhanced Precise Event-Based Sampling (PEBS) counters on recent Intel processor architectures and equivalent technology on AMD processors, we are now in a position to access memory reference information for particular addresses. Prior to the introduction of PEBS counters

  14. Transportation safety training

    SciTech Connect

    Jones, E.

    1990-01-01

    Over the past 25 years extensive federal legislation involving the handling and transport of hazardous materials/waste has been passed that has resulted in numerous overlapping regulations administered and enforced by different federal agencies. The handling and transport of hazardous materials/waste involves a significant number of workers who are subject to a varying degree of risk should an accident occur during handling or transport. Effective transportation training can help workers address these risks and mitigate them, and at the same time enable ORNL to comply with the federal regulations concerning the transport of hazardous materials/waste. This presentation will outline how the Environmental and Health Protection Division's Technical Resources and Training Section at the Oak Ridge National Laboratory, working with transportation and waste disposal personnel, have developed and implemented a comprehensive transportation safety training program to meet the needs of our workers while satisfying appropriate federal regulations. 8 refs., 3 tabs.

  15. Adjustable shear stress erosion and transport flume

    DOEpatents

    Roberts, Jesse D.; Jepsen, Richard A.

    2002-01-01

    A method and apparatus for measuring the total erosion rate and downstream transport of suspended and bedload sediments using an adjustable shear stress erosion and transport (ASSET) flume with a variable-depth sediment core sample. Water is forced past a variable-depth sediment core sample in a closed channel, eroding sediments, and introducing suspended and bedload sediments into the flow stream. The core sample is continuously pushed into the flow stream, while keeping the surface level with the bottom of the channel. Eroded bedload sediments are transported downstream and then gravitationally separated from the flow stream into one or more quiescent traps. The captured bedload sediments (particles and aggregates) are weighed and compared to the total mass of sediment eroded, and also to the concentration of sediments suspended in the flow stream.

  16. Model for assessing bronchial mucus transport

    SciTech Connect

    Agnew, J.E.; Bateman, J.R.M.; Pavia, D.; Clarke, S.W.

    1984-02-01

    The authors propose a scheme for the assessment of regional mucus transport using inhaled Tc-99m aerosol particles and quantitative analysis of serial gamma-camera images. The model treats input to inner and intermediate lung regions as the total of initial deposition there plus subsequent transport into these regions from more peripheral airways. It allows for interregional differences in the proportion of particles deposited on the mucus-bearing conducting airways, and does not require a gamma image 24 hr after particle inhalation. Instead, distribution of particles reaching the respiratory bronchioles or alveoli is determined from a Kr-81m ventilation image, while the total amount of such deposition is obtained from 24-hr Tc-99m retention measured with a sensitive counter system. The model is applicable to transport by mucociliary action or by cough, and has been tested in ten normal and ten asthmatic subjects.

  17. Analysis of Open Automated Demand Response Deployments in California and Guidelines to Transition to Industry Standards

    SciTech Connect

    Ghatikar, Girish; Riess, David; Piette, Mary Ann

    2014-01-02

    This report reviews the Open Automated Demand Response (OpenADR) deployments within the territories serviced by California?s investor-owned utilities (IOUs) and the transition from the OpenADR 1.0 specification to the formal standard?OpenADR 2.0. As demand response service providers and customers start adopting OpenADR 2.0, it is necessary to ensure that the existing Automated Demand Response (AutoDR) infrastructure investment continues to be useful and takes advantage of the formal standard and its many benefits. This study focused on OpenADR deployments and systems used by the California IOUs and included a summary of the OpenADR deployment from the U.S. Department of Energy-funded demonstration conducted by the Sacramento Municipal Utility District (SMUD). Lawrence Berkeley National Laboratory collected and analyzed data about OpenADR 1.0 deployments, categorized architectures, developed a data model mapping to understand the technical compatibility of each version, and compared the capabilities and features of the two specifications. The findings, for the first time, provided evidence of the total enabled load shed and average first cost for system enablement in the IOU and SMUD service territories. The OpenADR 2.0a profile specification semantically supports AutoDR system architectures and data propagation with a testing and certification program that promotes interoperability, scaled deployments by multiple vendors, and provides additional features that support future services.

  18. HEADLINE: DOE Pursues Automation in West Virginia Lab

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    HEADLINE: DOE Pursues Automation in West Virginia Lab By Elizabeth McGowan Hakan Inan can envision a day in the near future when electric utilities will be able to find and isolate faults, then restore service-in record time and without human intervention. His goal is to create a model for automating the process of locating a fault and reconfiguring the feeder. And in utility circles, it's considered very tricky because nobody has yet perfected the process, even though the hardware and software

  19. Automated Surface Observing System: Standby Power Options | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Automated Surface Observing System: Standby Power Options Automated Surface Observing System: Standby Power Options This presentation by Anthony Leonardo of the National Weather Service was given at the Fuel Cell Meeting in April 2007. fuel_cell_mtng_leonardo.pdf (323.76 KB) More Documents & Publications Dominion Cove Point LNG, LP - FE Dkt. No 11-128-LNG Order 3331-A: Dominion Cove Point LNG, LP - Dk. No. 11-128-LNG Market Transformation: Fuel Cell Early Adoption (Pres

  20. Automated Steel Cleanliness Analysis Tool (ASCAT)

    SciTech Connect

    Gary Casuccio; Michael Potter; Fred Schwerer; Dr. Richard J. Fruehan; Dr. Scott Story

    2005-12-30

    The objective of this study was to develop the Automated Steel Cleanliness Analysis Tool (ASCATTM) to permit steelmakers to evaluate the quality of the steel through the analysis of individual inclusions. By characterizing individual inclusions, determinations can be made as to the cleanliness of the steel. Understanding the complicating effects of inclusions in the steelmaking process and on the resulting properties of steel allows the steel producer to increase throughput, better control the process, reduce remelts, and improve the quality of the product. The ASCAT (Figure 1) is a steel-smart inclusion analysis tool developed around a customized next-generation computer controlled scanning electron microscopy (NG-CCSEM) hardware platform that permits acquisition of inclusion size and composition data at a rate never before possible in SEM-based instruments. With built-in customized ''intelligent'' software, the inclusion data is automatically sorted into clusters representing different inclusion types to define the characteristics of a particular heat (Figure 2). The ASCAT represents an innovative new tool for the collection of statistically meaningful data on inclusions, and provides a means of understanding the complicated effects of inclusions in the steel making process and on the resulting properties of steel. Research conducted by RJLG with AISI (American Iron and Steel Institute) and SMA (Steel Manufactures of America) members indicates that the ASCAT has application in high-grade bar, sheet, plate, tin products, pipes, SBQ, tire cord, welding rod, and specialty steels and alloys where control of inclusions, whether natural or engineered, are crucial to their specification for a given end-use. Example applications include castability of calcium treated steel; interstitial free (IF) degasser grade slag conditioning practice; tundish clogging and erosion minimization; degasser circulation and optimization; quality assessment/steel cleanliness; slab, billet

  1. SU-E-CAMPUS-T-01: Automation of the Winston-Lutz Test for Stereotactic Radiosurgery

    SciTech Connect

    Litzenberg, D; Irrer, J; Kessler, M; Lam, K; Keranen, W

    2014-06-15

    Purpose: To optimize clinical efficiency and shorten patient wait time by minimizing the time and effort required to perform the Winston-Lutz test before stereotactic radiosurgery (SRS) through automation of the delivery, analysis, and documentation of results. Methods: The radiation fields of the Winston-Lutz (WL) test were created in a machine-QA patient saved in ARIA for use before SRS cases. Images of the BRW target ball placed at mechanical isocenter are captured with the portal imager for each of four, 2cm2cm, MLC-shaped beams. When the WL plan is delivered and closed, this event is detected by in-house software called EventNet which automates subsequent processes with the aid of the ARIA web services. Images are automatically retrieved from the ARIA database and analyzed to determine the offset of the target ball from radiation isocenter. The results are posted to a website and a composite summary image of the results is pushed back into ImageBrowser for review and authenticated documentation. Results: The total time to perform the test was reduced from 20-25 minutes to less than 4 minutes. The results were found to be more accurate and consistent than the previous method which used radiochromic film. The images were also analyzed with DoseLab for comparison. The difference between the film and automated WL results in the X and Y direction and the radius were (?0.17 +/? 0.28) mm, (0.21 +/? 0.20) mm and (?0.14 +/? 0.27) mm, respectively. The difference between the DoseLab and automated WL results were (?0.05 +/? 0.06) mm, (?0.01 +/? 0.02) mm and (0.01 +/? 0.07) mm, respectively. Conclusions: This process reduced patient wait times by 1520 minutes making the treatment machine available to treat another patient. Accuracy and consistency of results were improved over the previous method and were comparable to other commercial solutions. Access to the ARIA web services is made possible through an Eclipse co-development agreement with Varian Medical Systems.

  2. Total Space Heating Water Heating Cook-

    Annual Energy Outlook

    Tables Total Space Heating Water Heating Cook- ing Other Total Space Heating Water Heating Cook- ing Other All Buildings* ... 634 578 46 1 Q 116.4 106.3...

  3. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Delaware - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S8. Summary statistics for natural gas - Delaware, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals

  4. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Massachusetts - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross

  5. Total System Performance Assessment Peer Review Panel

    Office of Energy Efficiency and Renewable Energy (EERE)

    Total System Performance Assessment (TSPA) Peer Review Panel for predicting the performance of a repository at Yucca Mountain.

  6. The development and verification of a highly accurate collision prediction model for automated noncoplanar plan delivery

    SciTech Connect

    Yu, Victoria Y.; Tran, Angelia; Nguyen, Dan; Cao, Minsong; Ruan, Dan; Low, Daniel A.; Sheng, Ke

    2015-11-15

    Purpose: Significant dosimetric benefits had been previously demonstrated in highly noncoplanar treatment plans. In this study, the authors developed and verified an individualized collision model for the purpose of delivering highly noncoplanar radiotherapy and tested the feasibility of total delivery automation with Varian TrueBeam developer mode. Methods: A hand-held 3D scanner was used to capture the surfaces of an anthropomorphic phantom and a human subject, which were positioned with a computer-aided design model of a TrueBeam machine to create a detailed virtual geometrical collision model. The collision model included gantry, collimator, and couch motion degrees of freedom. The accuracy of the 3D scanner was validated by scanning a rigid cubical phantom with known dimensions. The collision model was then validated by generating 300 linear accelerator orientations corresponding to 300 gantry-to-couch and gantry-to-phantom distances, and comparing the corresponding distance measurements to their corresponding models. The linear accelerator orientations reflected uniformly sampled noncoplanar beam angles to the head, lung, and prostate. The distance discrepancies between measurements on the physical and virtual systems were used to estimate treatment-site-specific safety buffer distances with 0.1%, 0.01%, and 0.001% probability of collision between the gantry and couch or phantom. Plans containing 20 noncoplanar beams to the brain, lung, and prostate optimized via an in-house noncoplanar radiotherapy platform were converted into XML script for automated delivery and the entire delivery was recorded and timed to demonstrate the feasibility of automated delivery. Results: The 3D scanner measured the dimension of the 14 cm cubic phantom within 0.5 mm. The maximal absolute discrepancy between machine and model measurements for gantry-to-couch and gantry-to-phantom was 0.95 and 2.97 cm, respectively. The reduced accuracy of gantry-to-phantom measurements was

  7. Transportation energy data book: Edition 12

    SciTech Connect

    Davis, S.C.; Morris, M.D.

    1992-03-01

    The Transportation Energy Data Book: Edition 12 is a statistical compendium prepared and published by Oak Ridge National Laboratory under contract with the Office of Transportation Technologies in the Department of Energy. Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. Each of the major transportation modes--highway, air, water, rail, pipeline--is treated in separate chapters or sections. Chapter 1 compares US transportation data with data from seven other countries. Aggregate energy use and energy supply data for all modes are presented in Chapter 2. The highway mode, which accounts for over three-fourths of total transportation energy consumption, is dealt with in Chapter 3. Topics in this chapter include automobiles, trucks, buses, fleet automobiles, federal standards, fuel economies, and vehicle emission data. Household travel behavior characteristics are displayed in Chapter 4. Chapter 5 contains information on alternative fuels and alternatively-fueled vehicles. The last chapter, Chapter 6, covers each of the nonhighway modes: air, water, pipeline, and rail, respectively.

  8. Transportation energy data book: Edition 13

    SciTech Connect

    Davis, S.C.; Strang, S.G.

    1993-03-01

    The Transportation Energy Data Book: Edition 13 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of Transportation Technologies in the Department of Energy (DOE). Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. Each of the major transportation modes -- highway, air, water, rail, pipeline -- is treated in separate chapters or sections. Chapter 1 compares US transportation data with data from seven other countries. Aggregate energy use and energy supply data for all modes are presented in Chapter 2. The highway mode, which accounts for over three-fourths of total transportation energy consumption, is dealt with in Chapter 3. Topics in this chapter include automobiles, trucks, buses, fleet automobiles, federal standards, fuel economies, and vehicle emission data. Household travel behavior characteristics are displayed in Chapter 4. Chapter 5 contains information on alternative fuels and alternatively-fueled vehicles. The last chapter, Chapter 6, covers each of the nonhighway modes: air, water, pipeline, and rail, respectively.

  9. Transportation energy data book: Edition 13

    SciTech Connect

    Davis, S.C.; Strang, S.G.

    1993-03-01

    The Transportation Energy Data Book: Edition 13 is a statistical compendium prepared and published by Oak Ridge National Laboratory (ORNL) under contract with the Office of Transportation Technologies in the Department of Energy (DOE). Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. Each of the major transportation modes - highway, air, water, rail, pipeline - is treated in separate chapters or sections. Chapter 1 compares US transportation data with data from seven other countries. Aggregate energy use and energy supply data for all modes are presented in Chapter 2. The highway mode, which accounts for over three-fourths of total transportation energy consumption, is dealt with in Chapter 3. Topics in this chapter include automobiles, trucks, buses, fleet automobiles, federal standards, fuel economies, and vehicle emission data. Household travel behavior characteristics are displayed in Chapter 4. Chapter 5 contains information on alternative fuels and alternatively-fueled vehicles. The last chapter, Chapter 6, covers each of the nonhighway modes: air, water, pipeline, and rail, respectively.

  10. Transportation energy data book: Edition 15

    SciTech Connect

    Davis, S.C.

    1995-05-01

    The Transportation Energy Data Book: Edition 15 is a statistical compendium. Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. Purpose of this document is to present relevant statistical data in the form of tables and graphs. Each of the major transportation modes is treated in separate chapters or sections. Chapter I compares US transportation data with data from other countries. Aggregate energy use and energy supply data for all modes are presented in Chapter 2. The highway mode, which accounts for over three-fourths of total transportation energy consumption, is dealt with in Chapter 3. Topics in this chapter include automobiles, trucks, buses, fleet vehicles, federal standards, fuel economies, and high-occupancy vehicle lane data. Household travel behavior characteristics are displayed in Chapter 4. Chapter 5 contains information on alternative fuels and alternative fuel vehicles. Chapter 6 covers the major nonhighway modes: air, water, and rail. The last chapter, Chapter 7, presents data environmental issues relating to transportation.

  11. ETM (Distribution Network Automation on 10 kV cable line stations...

    OpenEI (Open Energy Information) [EERE & EIA]

    ETM (Distribution Network Automation on 10 kV cable line stations) (Smart Grid Project) Jump to: navigation, search Project Name ETM (Distribution Network Automation on 10 kV cable...

  12. Intelligent Transportation Systems

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Intelligent Transportation Systems This email address is being protected from spambots. You need JavaScript enabled to view it. - TRACC Director Background The development and deployment of Intelligent Transportation Systems (ITS) in the United States is an effort of national importance. Through the use of advanced computing, control, and communication technologies, ITS promises to greatly improve the efficiency and safety of the existing surface transportation system and reduce the

  13. Fermilab | Visit Fermilab | Transportation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation Transportation to and from Chicago O'Hare Airport or Midway Airport is available by limousine, taxi or car rental. Transportation to and from the Geneva local commuter Metra train station on the Union Pacific West line is available by taxi or Pace Call-n-Ride. Car rental All of the usual rental companies (such as Hertz, Avis, Budget and National) are located at the airports. Limousine service Reservations for limousine service should be made in advance when possible. West Suburban

  14. Transportation | Argonne National Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Technologies Available for Licensing Energy Storage Industrial & Manufacturing Processes Instrumentation & Devices Licensable Software Life Sciences Materials Transportation Fact Sheets and Forms Transportation Influencing the future of vehicles, fuels Argonne's transportation research efforts bring together scientists and engineers from many disciplines to find cost-effective solutions to critical issues like foreign-oil dependency and greenhouse gas emissions. As one of the U.S.

  15. Automation impact study of Army training management 2: Extension of sampling and collection of installation resource data

    SciTech Connect

    Sanquist, T.F.; McCallum, M.C.; Hunt, P.S.; Slavich, A.L.; Underwood, J.A.; Toquam, J.L.; Seaver, D.A.

    1989-05-01

    This automation impact study of Army training management (TM) was performed for the Army Development and Employment Agency (ADEA) and the Combined Arms Training Activity (CATA) by the Battelle Human Affairs Research Centers and the Pacific Northwest Laboratory. The primary objective of the study was to provide the Army with information concerning the potential costs and savings associated with automating the TM process. This study expands the sample of units surveyed in Phase I of the automation impact effort (Sanquist et al., 1988), and presents data concerning installation resource management in relation to TM. The structured interview employed in Phase I was adapted to a self-administered survey. The data collected were compatible with that of Phase I, and both were combined for analysis. Three US sites, one reserve division, one National Guard division, and one unit in the active component outside the continental US (OCONUS) (referred to in this report as forward deployed) were surveyed. The total sample size was 459, of which 337 respondents contributed the most detailed data. 20 figs., 62 tabs.

  16. WASTE PACKAGE TRANSPORTER DESIGN

    SciTech Connect

    D.C. Weddle; R. Novotny; J. Cron

    1998-09-23

    The purpose of this Design Analysis is to develop preliminary design of the waste package transporter used for waste package (WP) transport and related functions in the subsurface repository. This analysis refines the conceptual design that was started in Phase I of the Viability Assessment. This analysis supports the development of a reliable emplacement concept and a retrieval concept for license application design. The scope of this analysis includes the following activities: (1) Assess features of the transporter design and evaluate alternative design solutions for mechanical components. (2) Develop mechanical equipment details for the transporter. (3) Prepare a preliminary structural evaluation for the transporter. (4) Identify and recommend the equipment design for waste package transport and related functions. (5) Investigate transport equipment interface tolerances. This analysis supports the development of the waste package transporter for the transport, emplacement, and retrieval of packaged radioactive waste forms in the subsurface repository. Once the waste containers are closed and accepted, the packaged radioactive waste forms are termed waste packages (WP). This terminology was finalized as this analysis neared completion; therefore, the term disposal container is used in several references (i.e., the System Description Document (SDD)) (Ref. 5.6). In this analysis and the applicable reference documents, the term ''disposal container'' is synonymous with ''waste package''.

  17. Transportation Energy Consortiums

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Physics of hydrogen in materials - Our research develops an understanding of reactions on surfaces, hydrogen transport in materials, embrittlement mechanisms, deformation and ...

  18. Transportation Storage Interface

    Office of Environmental Management (EM)

    transportation * High priority technical information needs have * Overall low level of knowledge * Overall high regulatory impact 12 Extended Spent Fuel Storage and...

  19. Sustainable Transportation (Fact Sheet)

    SciTech Connect

    Not Available

    2012-09-01

    This document highlights DOE's Office of Energy Efficiency and Renewable Energy's advancements in transportation technologies, alternative fuels, and fuel cell technologies.

  20. UZ Colloid Transport Model

    SciTech Connect

    M. McGraw

    2000-04-13

    The UZ Colloid Transport model development plan states that the objective of this Analysis/Model Report (AMR) is to document the development of a model for simulating unsaturated colloid transport. This objective includes the following: (1) use of a process level model to evaluate the potential mechanisms for colloid transport at Yucca Mountain; (2) Provide ranges of parameters for significant colloid transport processes to Performance Assessment (PA) for the unsaturated zone (UZ); (3) Provide a basis for development of an abstracted model for use in PA calculations.

  1. NREL: Transportation Research - Capabilities

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    A Vision for Sustainable Transportation Line graph illustrating three pathways (biofuel, hydrogen, and electric vehicle) to reduce energy use and greenhouse gas emissions. Electric ...

  2. Transportation Energy Futures Snapshot

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    modes, manage the demand for transportation, and shift the fuel mix to more sustainable sources necessary to reach these significant outcomes. Coordinating a...

  3. integrated-transportation-models

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    support a wider application of integrated transportation models, especially focusing on travel demand and network ... irrevocable worldwide license in said article to ...

  4. Radioactive Material Transportation Practices

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    2002-09-23

    Establishes standard transportation practices for Departmental programs to use in planning and executing offsite shipments of radioactive materials including radioactive waste. Does not cancel other directives.

  5. Transportation Energy Futures Snapshot

    Energy.gov [DOE]

    This snapshot is a summary of the EERE reports that provide a detailed analysis of opportunities and challenges along the path to a more sustainable transportation energy future.

  6. Sandia National Laboratories: Research: High Consequence, Automation, &

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Robotics: Advanced Manipulation Manipulation Robotics Homepage About Robotics Research & Development Advanced Controls Advanced Manipulation Mighty Mouse (M2) Sandia Hand Cybernetics High-Consequence Automation Perception and Decision Tools Unique Mobility Facilities Publications and Factsheets Robotics Image Gallery Robotics Videos Contact Robotics Research Advanced Manipulation Addressing robotics challenges The Sandia Hand has overcome issues that have prevented widespread adoption of

  7. Automated deduction for first-order logic with equality

    Energy Science and Technology Software Center

    2001-06-01

    Otter 3.2 is the current version of ANL's automated deduction system designed to search for proofs and countermodels of conjectures stated in first-order logic with equality. It is used mostly for research in mathematics and logic and also for various applications requiring deductive data processing.

  8. Automated deduction for first-order logic with equality

    Energy Science and Technology Software Center

    2003-09-01

    Otter 3.3 is the current version of ANL's automated deduction system designed to search for proofs and countermodels of conjectures stated in first-order logic with equality. It is used mostly for research in mathematics and logic and also for various applications requiring deductive data processing.

  9. Automated Energy Distribution and Reliability System Status Report

    SciTech Connect

    Buche, D. L.; Perry, S.

    2007-10-01

    This report describes Northern Indiana Public Service Co. project efforts to develop an automated energy distribution and reliability system. The purpose of this project was to implement a database-driven GIS solution that would manage all of the company's gas, electric, and landbase objects.

  10. Automated Energy Distribution and Reliability System (AEDR): Final Report

    SciTech Connect

    Buche, D. L.

    2008-07-01

    This report describes Northern Indiana Public Service Co. project efforts to develop an automated energy distribution and reliability system. The purpose of this project was to implement a database-driven GIS solution that would manage all of the company's gas, electric, and landbase objects.

  11. Towards automated construction of dependable software/hardware systems

    SciTech Connect

    Yakhnis, A.; Yakhnis, V.

    1997-11-01

    This report contains viewgraphs on the automated construction of dependable computer architecture systems. The outline of this report is: examples of software/hardware systems; dependable systems; partial delivery of dependability; proposed approach; removing obstacles; advantages of the approach; criteria for success; current progress of the approach; and references.

  12. Ideas that Work!. Retuning the Building Automation System

    SciTech Connect

    Parker, Steven

    2015-03-01

    A building automation system (BAS) can save considerable energy by effectively and efficiently operating building energy systems (fans, pumps, chillers boilers, etc.), but only when the BAS is properly set up and operated. Tuning, or retuning, the BAS is a cost effective process worthy of your time and attention.

  13. Automating Nuclear-Safety-Related SQA Procedures with Custom Applications

    DOE PAGES [OSTI]

    Freels, James D.

    2016-01-01

    Nuclear safety-related procedures are rigorous for good reason. Small design mistakes can quickly turn into unwanted failures. Researchers at Oak Ridge National Laboratory worked with COMSOL to define a simulation app that automates the software quality assurance (SQA) verification process and provides results in less than 24 hours.

  14. ARES: automated response function code. Users manual. [HPGAM and LSQVM

    SciTech Connect

    Maung, T.; Reynolds, G.M.

    1981-06-01

    This ARES user's manual provides detailed instructions for a general understanding of the Automated Response Function Code and gives step by step instructions for using the complete code package on a HP-1000 system. This code is designed to calculate response functions of NaI gamma-ray detectors, with cylindrical or rectangular geometries.

  15. Sandia's Automated Transfer Function Generator - Energy Innovation Portal

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Energy Storage Energy Storage Electricity Transmission Electricity Transmission Building Energy Efficiency Building Energy Efficiency Find More Like This Return to Search Sandia's Automated Transfer Function Generator Sandia National Laboratories Contact SNL About This Technology Publications: PDF Document Publication Market Sheet (340 KB) Technology Marketing Summary When designing or analyzing electrical systems, it is important to understand the relationship between input and output. Power

  16. National SCADA Test Bed Substation Automation Evaluation Report

    SciTech Connect

    Kenneth Barnes; Briam Johnson

    2009-10-01

    Increased awareness of the potential for cyber attack has recently resulted in improved cyber security practices associated with the electrical power grid. However, the level of practical understanding and deployment of cyber security practices has not been evenly applied across all business sectors. Much of the focus has been centered on information technology business centers and control rooms. This report explores the current level of substation automation, communication, and cyber security protection deployed in electrical substations throughout existing utilities in the United States. This report documents the evaluation of substation automation implementation and associated vulnerabilities. This evaluation used research conducted by Newton-Evans Research Company for some of its observations and results. The Newton Evans Report aided in the determination of what is the state of substation automation in North American electric utilities. Idaho National Laboratory cyber security experts aided in the determination of what cyber vulnerabilities may pose a threat to electrical substations. This report includes cyber vulnerabilities as well as recommended mitigations. It also describes specific cyber issues found in typical substation automation configurations within the electric utility industry. The evaluation report was performed over a 5-month period starting in October 2008

  17. Transport Version 3

    Energy Science and Technology Software Center

    2008-05-16

    The Transport version 3 (T3) system uses the Network News Transfer Protocol (NNTP) to move data from sources to a Data Reporisoty (DR). Interested recipients subscribe to newsgroups to retrieve data. Data in transport is protected by AES-256 and RSA cryptographic services provided by the external OpenSSL cryptographic libraries.

  18. Packaging and Transportation Safety

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    2003-04-04

    To establish safety requirements for the proper packaging and transportation of Department of Energy (DOE)/National Nuclear Security Administration (NNSA) offsite shipments and onsite transfers of hazardous materials and for modal transport. Cancels DOE O 460.1A. Canceled by DOE O 460.1C.

  19. Vadose Zone Transport Field Study: Summary Report

    SciTech Connect

    Ward, Andy L.; Conrad, Mark E.; Daily, William D.; Fink, James B.; Freedman, Vicky L.; Gee, Glendon W.; Hoversten, Gary M.; Keller, Jason M.; Majer, Ernest L.; Murray, Christopher J.; White, Mark D.; Yabusaki, Steven B.; Zhang, Z. F.

    2006-07-31

    (e.g. BC Cribs and Trenches). The improved models have been also coupled with inverse models and newly-developed parameter scaling techniques to allow estimation of field-scale and effective transport parameters for the vadose zone. The development and utility of pedotransfer functions for describing fine-scale hydrogeochemical heterogeneity and for incorporating this heterogeneity into reactive transport models was explored. An approach based on grain-size statistics appears feasible and has been used to describe heterogeneity in hydraulic properties and sorption properties, such as the cation exchange capacity and the specific surface area of Hanford sediments. This work has also led to the development of inverse modeling capabilities for time-dependent, subsurface, reactive transport with transient flow fields using an automated optimization algorithm. In addition, a number of geophysical techniques investigated for their potential to provide detailed information on the subtle changes in lithology and bedding surfaces; plume delineation, leak detection. High-resolution resistivity is now being used for detecting saline plumes at several waste sites at Hanford, including tank farms. Results from the field studies and associated analysis have appeared in more than 46 publications generated over the past 4 years. These publications include test plans and status reports, in addition to numerous technical notes and peer reviewed papers.

  20. TOKIO: Total Knowledge of I/O

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    TOKIO: Total Knowledge of I/O TOKIO: Total Knowledge of I/O The Total Knowledge of I/O (TOKIO) project is developing algorithms and a software framework that collects and correlates I/O workload data from production HPC resources at multiple system levels to provide a dramatically clearer view of system behavior, and the causes of behavior, to application scientists, facility operators and computer science researchers in the field. TOKIO is a collaboration between the Lawrence Berkeley and

  1. Total Adjusted Sales of Distillate Fuel Oil

    Gasoline and Diesel Fuel Update

    End Use: Total Residential Commercial Industrial Oil Company Farm Electric Power Railroad Vessel Bunkering On-Highway Military Off-Highway All Other Period: Annual Download Series ...

  2. Total Sales of Distillate Fuel Oil

    Energy Information Administration (EIA) (indexed site)

    End Use: Total Residential Commercial Industrial Oil Company Farm Electric Power Railroad Vessel Bunkering On-Highway Military Off-Highway All Other Period: Annual Download Series ...

  3. Total Natural Gas Underground Storage Capacity

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Storage Capacity Salt Caverns Storage Capacity Aquifers Storage Capacity Depleted Fields Storage Capacity Total Working Gas Capacity Working Gas Capacity of Salt Caverns Working...

  4. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Alabama - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S1. Summary statistics for natural gas - Alabama, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 346 367 402 436 414 Gas Wells R 6,243 R 6,203 R 6,174 R 6,117 6,044 Production

  5. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    2 Alaska - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 2,040 1,981 2,006 2,042 2,096 Gas Wells R 274 R 281 R 300 R 338 329 Production

  6. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Colorado - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 5,963 6,456 6,799 7,771 7,733 Gas Wells R 43,792 R 46,141 R 46,883 R 46,876

  7. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 District of Columbia - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic

  8. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Hawaii - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S13. Summary statistics for natural gas - Hawaii, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From

  9. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 Idaho - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From

  10. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    20 Maine - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S21. Summary statistics for natural gas - Maine, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From

  11. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Mississippi - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 561 618 581 540 501 Gas Wells R 1,703 R 1,666 R 1,632 R 1,594 1,560

  12. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Montana - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S28. Summary statistics for natural gas - Montana, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 1,956 2,147 2,268 2,377 2,277 Gas Wells R 6,615 R 6,366 R 5,870 R 5,682 5,655

  13. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 New Mexico - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 12,887 13,791 14,171 14,814 14,580 Gas Wells R 40,231 R 40,441 R 40,119 R

  14. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 New York - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 988 1,170 1,589 1,731 1,697 Gas Wells R 7,372 R 7,731 R 7,553 R 7,619 7,605

  15. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 North Dakota - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 5,561 7,379 9,363 11,532 12,799 Gas Wells R 526 R 451 R 423 R 398 462

  16. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    2 Ohio - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 6,775 6,745 7,038 7,257 5,941 Gas Wells R 31,966 R 31,647 R 30,804 R 31,060 26,599

  17. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Oklahoma - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S38. Summary statistics for natural gas - Oklahoma, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 6,723 7,360 8,744 7,105 8,368 Gas Wells R 51,712 R 51,472 R 50,606 R 50,044

  18. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 Oregon - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 0 0 0 0 0 Gas Wells R 28 R 24 R 24 R 12 14 Production (million cubic feet) Gross

  19. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    8 Pennsylvania - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S40. Summary statistics for natural gas - Pennsylvania, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 7,046 7,627 7,164 8,481 7,557 Gas Wells R 61,815 R 62,922 R 61,838 R

  20. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    6 Tennessee - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 52 75 NA NA NA Gas Wells R 1,027 R 1,027 1,089 NA NA Production (million cubic

  1. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    8 Texas - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 85,030 94,203 96,949 104,205 105,159 Gas Wells R 139,368 R 140,087 R 140,964 R 142,292

  2. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    0 Utah - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 3,119 3,520 3,946 4,249 3,966 Gas Wells R 7,603 R 8,121 R 8,300 R 8,537 8,739 Production

  3. Million Cu. Feet Percent of National Total

    Energy Information Administration (EIA) (indexed site)

    4 Virginia - Natural Gas 2015 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2011-2015 2011 2012 2013 2014 2015 Number of Wells Producing Natural Gas at End of Year Oil Wells 2 1 1 2 2 Gas Wells R 7,781 R 7,874 7,956 R 8,061 8,111 Production (million

  4. Transportation Energy Data Book: Edition 14

    SciTech Connect

    Davis, S.C.

    1994-05-01

    Designed for use as a desk-top reference, the data book represents an assembly and display of statistics and information that characterize transportation activity, and presents data on other factors that influence transportation energy use. The purpose of this document is to present relevant statistical data in the form of tables and graphs. Each of the major transportation modes is treated in separate chapters or sections. Chapter 1 compares US transportation data with data from other countries. Aggregate energy use and energy supply data for all modes are presented in Chapter 2. The highway mode, which accounts for over three-fourths of total transportation energy consumption, is dealt with in Chapter 3. Topics in this chapter include automobiles, trucks, buses, fleet vehicles, federal standards, fuel economies, and high-occupancy vehicle lane data. Household travel behavior characteristics are displayed in Chapter 4. Chapter 5 contains information on alternative fuels and alternatively-fueled vehicles. Chapter 6 covers the major nonhighway modes: air, water, and rail. The last chapter, Chapter 7, presents data environmental issues relating to transportation.

  5. NREL: Transportation Research - Transportation and Hydrogen Newsletter:

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Fuels Performance Fuels Performance This is the September 2016 issue of the Transportation and Hydrogen Newsletter. September 26, 2016 A photo of a worker using a small crane to lift a cylindrical tank. Compressed natural gas (CNG) tanks, such as those shown above, should be retired from service following a safety protocol and manufacturers' instructions, according to NREL's CNG tank decommissioning video. Video Promotes Safe CNG Tank Decommissioning Practices A video on CNG fuel tank

  6. Uranium Transport Modeling

    SciTech Connect

    Bostick, William D.

    2008-01-15

    Uranium contamination is prevalent at many of the U.S. DOE facilities and at several civilian sites that have supported the nuclear fuel cycle. The potential off-site mobility of uranium depends on the partitioning of uranium between aqueous and solid (soil and sediment) phases. Hexavalent U (as uranyl, UO{sub 2}{sup 2+}) is relatively mobile, forming strong complexes with ubiquitous carbonate ion which renders it appreciably soluble even under mild reducing conditions. In the presence of carbonate, partition of uranyl to ferri-hydrate and select other mineral phases is usually maximum in the near-neutral pH range {approx} 5-8. The surface complexation reaction of uranyl with iron-containing minerals has been used as one means to model subsurface migration, used in conjunction with information on the site water chemistry and hydrology. Partitioning of uranium is often studied by short-term batch 'equilibrium' or long-term soil column testing ; MCLinc has performed both of these methodologies, with selection of method depending upon the requirements of the client or regulatory authority. Speciation of uranium in soil may be determined directly by instrumental techniques (e.g., x-ray photoelectron spectroscopy, XPS; x-ray diffraction, XRD; etc.) or by inference drawn from operational estimates. Often, the technique of choice for evaluating low-level radionuclide partitioning in soils and sediments is the sequential extraction approach. This methodology applies operationally-defined chemical treatments to selectively dissolve specific classes of macro-scale soil or sediment components. These methods recognize that total soil metal inventory is of limited use in understanding bioavailability or metal mobility, and that it is useful to estimate the amount of metal present in different solid-phase forms. Despite some drawbacks, the sequential extraction method can provide a valuable tool to distinguish among trace element fractions of different solubility related to

  7. Oxygen Transport Ceramic Membranes

    SciTech Connect

    S. Bandopadhyay; N. Nagabhushana; Thomas W. Eagar; Harold R. Larson; Raymundo Arroyave; X.-D Zhou; Y.-W. Shin; H.U. Anderson; Nigel Browning; Alan Jacobson; C.A. Mims

    2003-11-01

    The present quarterly report describes some of the initial studies on newer compositions and also includes newer approaches to address various materials issues such as in metal-ceramic sealing. The current quarter's research has also focused on developing a comprehensive reliability model for predicting the structural behavior of the membranes in realistic conditions. In parallel to industry provided compositions, models membranes have been evaluated in varying environment. Of importance is the behavior of flaws and generation of new flaws aiding in fracture. Fracture mechanics parameters such as crack tip stresses are generated to characterize the influence of environment. Room temperature slow crack growth studies have also been initiated in industry provided compositions. The electrical conductivity and defect chemistry of an A site deficient compound (La{sub 0.55}Sr{sub 0.35}FeO{sub 3}) was studied. A higher conductivity was observed for La{sub 0.55}Sr{sub 0.35}FeO{sub 3} than that of La{sub 0.60}Sr{sub 0.40}FeO{sub 3} and La{sub 0.80}Sr{sub 0.20}FeO{sub 3}. Defect chemistry analysis showed that it was primarily contributed by a higher carrier concentration in La{sub 0.55}Sr{sub 0.35}FeO{sub 3}. Moreover, the ability for oxygen vacancy generation is much higher in La{sub 0.55}Sr{sub 0.35}FeO{sub 3} as well, which indicates a lower bonding strength between Fe-O and a possible higher catalytic activity for La{sub 0.55}Sr{sub 0.35}FeO{sub 3}. The program continued to investigate the thermodynamic properties (stability and phase separation behavior) and total conductivity of prototype membrane materials. The data are needed together with the kinetic information to develop a complete model for the membrane transport. Previous report listed initial measurements on a sample of La{sub 0.2}Sr{sub 0.8}Fe{sub 0.55}Ti{sub 0.45}O{sub 3-x} prepared in-house by Praxair. Subsequently, a second sample of powder from a larger batch of sample were characterized and compared with

  8. Oxygen Transport Ceramic Membranes

    SciTech Connect

    S. Bandopadhyay; N. Nagabhushana; X.-D Zhou; Q. Cai; J. Yang; W.B. Yelon; W.J. James; H.U. Anderson; Alan Jacobson; C.A. Mims

    2004-05-01

    The present quarterly report describes some of the investigations on the structural properties of dense OTM bars provided by Praxair and studies on newer composition of Ti doped LSF. In this report, in situ neutron diffraction was used to characterize the chemical and structural properties of La{sub 0.2}Sr{sub 0.8}Fe{sub 0.55}Ti{sub 0.45}O{sub 3-{delta}} (here after as L2SF55T) specimen, which was subject to measurements of neutron diffraction from room temperature to 900 C. It was found that space group of R3c yielded a better refinement than a cubic structure of Pm3m. Oxygen occupancy was nearly 3 in the region from room temperature to 700 C, above which the occupancy decreased due to oxygen loss. Dense OTM bars provided by Praxair were loaded to fracture at varying stress rates. Studies were done at room temperature in air and at 1000 C in a specified environment to evaluate slow crack growth behavior. The X-Ray data and fracture mechanisms points to non-equilibrium decomposition of the LSFCO OTM membrane. The non-equilibrium conditions could probably be due to the nature of the applied stress field (stressing rates) and leads to transition in crystal structures and increased kinetics of decomposition. The formations of a Brownmillerite or Sr2Fe2O5 type structures, which are orthorhombic are attributed to the ordering of oxygen vacancies. The cubic to orthorhombic transitions leads to 2.6% increase in strains and thus residual stresses generated could influence the fracture behavior of the OTM membrane. Continued investigations on the thermodynamic properties (stability and phase-separation behavior) and total conductivity of prototype membrane materials were carried out. The data are needed together with the kinetic information to develop a complete model for the membrane transport. Previously characterization, stoichiometry and conductivity measurements for samples of La{sub 0.2}Sr{sub 0.8}Fe{sub 0.55}Ti{sub 0.45}O{sub 3-{delta}} were reported. In this report

  9. WIPP Transportation (FINAL)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    WIPP TRANSPORTATION SYSTEM Waste Isolation Pilot Plant U.S. Department Of Energy The U.S. Department of Energy (DOE) has established an elaborate system for safely transporting transuranic, or TRU, radioactive waste to the Waste Isolation Pilot Plant (WIPP) for permanent disposal, or between generator sites. The waste is transported in four shipping casks approved for use by the U.S. Nuclear Regulatory Commission (NRC). Three shipping casks, the TRUPACT-II, HalfPACT and TRUPACT-III, are designed

  10. Transportation for Lab Employees

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation Transportation for Lab Employees Choose the transportation option that works best for you: car, rail, taxi or public transit Contact Us Email Getting to the Lab Whether it be for an interview or a day on the job, using the right map and directions will make your travel to the Lab much easier. Visit our Maps webpage for maps and directions on how to get to Los Alamos from various communities in Northern New Mexico. Commuting options Sixty-six percent of the Los Alamos workforce

  11. Transportation energy trends and issues through 2030

    SciTech Connect

    DeCicco, J.M.

    1996-12-31

    Controlling transportation energy use looms as a serious challenge for the United States in the 21st century. Demand for transportation services is steadily growing, driven by increasing population, economic activity, and incomes. Few forces presently constrain growth in travel by the energy-intensive modes of automobile, truck, and air transportation. In contrast to other sectors of the economy, transportation energy efficiency improvements are nearly stagnant. Efficiency increases are now absent in highway modes; aircraft efficiency is improving, but not enough to offset rising air travel. Transportation is also the most oil-dependent sector of the economy as well as the country`s most rapidly growing source of greenhouse gas emissions. A conservative forecast indicates US transportation energy consumption rising from 23 Quads in 1990 to roughly 36 Quads by 2030; less conservative assumptions push the total to 43 Quads by 2030. Yet opportunities exist for efficiency improvements to counter a substantial portion of this growth. The most promising options are technological, with potential long-term efficiency improvements of threefold for light vehicles, twofold for aircraft, and 65 percent for heavy trucks. Combined with system efficiency changes to help limit growth of the energy-intensive modes, transportation energy use might be cut to 19 Quads by 2030. Pursuing cost-effective strategies to move the system toward such reduced energy intensiveness would be clearly valuable for the economy and environment. This paper examines these trends and options, and offers suggestions for policies that could lead to reductions in transportation energy use and its associated problems such as greenhouse gas emissions and oil dependence risks. 24 refs., 6 figs., 3 tabs.

  12. Automation of oil movement systems prevents mistakes, saves money

    SciTech Connect

    King, M. )

    1993-03-22

    Experiences illustrate how oil movement and storage (OM and S) system automation can be justified and its benefits proven. From such examples, refiners can determine sources of project benefits and how project costs can be reduced without causing equivalent reductions in benefits. A number of examples also demonstrate the importance of designing an integrated information system, as opposed to a stand-alone OM and S system. This first of two articles covers project justification opportunities. Part two will discuss automatic data reconciliation, refinery information systems, yield reconciliation, and the decision to design or purchase an automated OM and S system. The paper describes the project benefits and gives examples: blending, planning spot cargos, inventory reduction, demurrage, recycling slop materials, routing errors, premature action, safety, unusual routings, incident analysis, and man-hour scheduling.

  13. Automating the determination of 3D protein structure

    SciTech Connect

    Rayl, K.D.

    1993-12-31

    The creation of an automated method for determining 3D protein structure would be invaluable to the field of biology and presents an interesting challenge to computer science. Unfortunately, given the current level of protein knowledge, a completely automated solution method is not yet feasible, therefore, our group has decided to integrate existing databases and theories to create a software system that assists X-ray crystallographers in specifying a particular protein structure. By breaking the problem of determining overall protein structure into small subproblems, we hope to come closer to solving a novel structure by solving each component. By generating necessary information for structure determination, this method provides the first step toward designing a program to determine protein conformation automatically.

  14. The Geography of Transport Systems-Maritime Transportation |...

    OpenEI (Open Energy Information) [EERE & EIA]

    report Website: people.hofstra.edugeotransengch3enconc3ench3c4en.html Cost: Free Language: English References: Maritime Transportation1 "Maritime transportation, similar to...

  15. Sandia National Laboratories: Research: High Consequence, Automation, &

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Robotics: Neural Control of Prosthetics Neural Control of Prosthetics Advanced prosthetics Researchers in High Consequence, Automation, & Robotics are working on ways to improve amputees' control over prosthetics with direct help from their own nervous systems. Neural interfaces operate where the nervous system and an artificial device intersect. Interfaces can monitor nerve signals or provide inputs that let amputees control prosthetic devices by direct neural signals, the same way they

  16. Sandia National Laboratories: Research: High Consequence, Automation, &

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Robotics: Unique Mobility Unique Mobility Robotics Homepage About Robotics Research & Development Advanced Controls Advanced Manipulation Cybernetics High-Consequence Automation Perception and Decision Tools Unique Mobility Urban Hopper Gemini-Scout Mine Rescue Vehicle Volant Facilities Publications and Factsheets Robotics Image Gallery Robotics Videos Contact Robotics Research Unique Mobility Urban Hopper We specialize in developing advanced mobility technologies to support a broad

  17. Automated closure system for nuclear reactor fuel assemblies

    DOEpatents

    Christiansen, David W. (Kennewick, WA); Brown, William F. (West Richland, WA)

    1985-01-01

    A welder for automated closure of fuel pins by a pulsed magnetic process in which the open end of a length of cladding is positioned within a complementary tube surrounded by a pulsed magnetic welder. Seals are provided at each end of the tube, which can be evacuated or can receive tag gas for direct introduction to the cladding interior. Loading of magnetic rings and end caps is accomplished automatically in conjunction with the welding steps carried out within the tube.

  18. Automated defect spatial signature analysis for semiconductor manufacturing process

    DOEpatents

    Tobin, Jr., Kenneth W.; Gleason, Shaun S.; Karnowski, Thomas P.; Sari-Sarraf, Hamed

    1999-01-01

    An apparatus and method for performing automated defect spatial signature alysis on a data set representing defect coordinates and wafer processing information includes categorizing data from the data set into a plurality of high level categories, classifying the categorized data contained in each high level category into user-labeled signature events, and correlating the categorized, classified signature events to a present or incipient anomalous process condition.

  19. Automated Image Analysis of Fibers - Energy Innovation Portal

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Startup America Startup America Industrial Technologies Industrial Technologies Advanced Materials Advanced Materials Find More Like This Return to Search Automated Image Analysis of Fibers Automatic Nanofiber Characterization and Recognition Software Argonne National Laboratory Contact ANL About This Technology Image with recognized fiber edges<br /> <br /> Diameter - Measure between each yellow and red tail. Image with recognized fiber edges Diameter - Measure between each yellow

  20. Automated Surface Sampling Probe for Mass Spectrometry - Energy Innovation

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Portal Advanced Materials Advanced Materials Find More Like This Return to Search Automated Surface Sampling Probe for Mass Spectrometry Mass Spectrometry Imaging for Drug Discovery and Pharmaceutical Research Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing Summary Dr. Gary Van Berkel and colleagues have developed a liquid microjunction surface sampling probe (LMJ?SSP). The LMJ?SSP provides mass spectrometry with a simple and efficient ambient surface

  1. Reference Model for Control and Automation Systems in Electrical Power

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Reference Model for Control and Automation Systems in Electrical Power Version 1.2 October 12, 2005 Prepared by: Sandia National Laboratories' Center for SCADA Security Jason Stamp, Technical Lead Michael Berg, Co-Technical Lead Michael Baca, Project Lead This work was conducted for the DOE Office of Electricity Delivery and Energy Reliability under Contract M64SCADSNL Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department

  2. Automated Measurement and Signaling Systems for the Transactional Network |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Measurement and Signaling Systems for the Transactional Network Automated Measurement and Signaling Systems for the Transactional Network The Transactional Network Project is a multi-lab activity funded by the U.S. Department of Energy's Building Technologies Office. The project team included staff from Lawrence Berkeley National Laboratory, Pacific Northwest National Laboratory, and Oak Ridge National Laboratory. The team designed, prototyped, and tested a transactional

  3. Automated planning of breast radiotherapy using cone beam CT imaging

    SciTech Connect

    Amit, Guy; Purdie, Thomas G.

    2015-02-15

    Purpose: Develop and clinically validate a methodology for using cone beam computed tomography (CBCT) imaging in an automated treatment planning framework for breast IMRT. Methods: A technique for intensity correction of CBCT images was developed and evaluated. The technique is based on histogram matching of CBCT image sets, using information from “similar” planning CT image sets from a database of paired CBCT and CT image sets (n = 38). Automated treatment plans were generated for a testing subset (n = 15) on the planning CT and the corrected CBCT. The plans generated on the corrected CBCT were compared to the CT-based plans in terms of beam parameters, dosimetric indices, and dose distributions. Results: The corrected CBCT images showed considerable similarity to their corresponding planning CTs (average mutual information 1.0±0.1, average sum of absolute differences 185 ± 38). The automated CBCT-based plans were clinically acceptable, as well as equivalent to the CT-based plans with average gantry angle difference of 0.99°±1.1°, target volume overlap index (Dice) of 0.89±0.04 although with slightly higher maximum target doses (4482±90 vs 4560±84, P < 0.05). Gamma index analysis (3%, 3 mm) showed that the CBCT-based plans had the same dose distribution as plans calculated with the same beams on the registered planning CTs (average gamma index 0.12±0.04, gamma <1 in 99.4%±0.3%). Conclusions: The proposed method demonstrates the potential for a clinically feasible and efficient online adaptive breast IMRT planning method based on CBCT imaging, integrating automation.

  4. Transportation Baseline Report

    SciTech Connect

    Fawcett, Ricky Lee; Kramer, George Leroy Jr.

    1999-12-01

    The National Transportation Program 1999 Transportation Baseline Report presents data that form a baseline to enable analysis and planning for future Department of Energy (DOE) Environmental Management (EM) waste and materials transportation. In addition, this Report provides a summary overview of DOEs projected quantities of waste and materials for transportation. Data presented in this report were gathered as a part of the IPABS Spring 1999 update of the EM Corporate Database and are current as of July 30, 1999. These data were input and compiled using the Analysis and Visualization System (AVS) which is used to update all stream-level components of the EM Corporate Database, as well as TSD System and programmatic risk (disposition barrier) information. Project (PBS) and site-level IPABS data are being collected through the Interim Data Management System (IDMS). The data are presented in appendices to this report.

  5. Accident resistant transport container

    DOEpatents

    Andersen, John A.; Cole, James K.

    1980-01-01

    The invention relates to a container for the safe air transport of plutonium having several intermediate wood layers and a load spreader intermediate an inner container and an outer shell for mitigation of shock during a hypothetical accident.

  6. Transportation | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Data From AEO2011 report . Market Trends From 2009 to 2035, transportation sector energy consumption grows at an average annual rate of 0.6 percent (from 27.2 quadrillion Btu...

  7. Accident resistant transport container

    DOEpatents

    Anderson, J.A.; Cole, K.K.

    The invention relates to a container for the safe air transport of plutonium having several intermediate wood layers and a load spreader intermediate an inner container and an outer shell for mitigation of shock during a hypothetical accident.

  8. Electron Heat Transport Measured

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Heat Transport Measured in a Stochastic Magnetic Field T. M. Biewer, * C. B. Forest, ... limit of s &29; 1, RR assumed the electron heat flux to be diffusive, obeying Fourier's ...

  9. Program Analyst (Transportation Safety)

    Energy.gov [DOE]

    A successful candidate in this position will serve as a Program Analyst(Transportation Safety) supporting and advising management on safety and health matters for nuclear and non-nuclear activities.

  10. A Automated Tool for Supporting FMEAs of Digital Systems

    SciTech Connect

    Yue,M.; Chu, T.-L.; Martinez-Guridi, G.; Lehner, J.

    2008-09-07

    Although designs of digital systems can be very different from each other, they typically use many of the same types of generic digital components. Determining the impacts of the failure modes of these generic components on a digital system can be used to support development of a reliability model of the system. A novel approach was proposed for such a purpose by decomposing the system into a level of the generic digital components and propagating failure modes to the system level, which generally is time-consuming and difficult to implement. To overcome the associated issues of implementing the proposed FMEA approach, an automated tool for a digital feedwater control system (DFWCS) has been developed in this study. The automated FMEA tool is in nature a simulation platform developed by using or recreating the original source code of the different module software interfaced by input and output variables that represent physical signals exchanged between modules, the system, and the controlled process. For any given failure mode, its impacts on associated signals are determined first and the variables that correspond to these signals are modified accordingly by the simulation. Criteria are also developed, as part of the simulation platform, to determine whether the system has lost its automatic control function, which is defined as a system failure in this study. The conceptual development of the automated FMEA support tool can be generalized and applied to support FMEAs for reliability assessment of complex digital systems.

  11. Automated hybridization/imaging device for fluorescent multiplex DNA sequencing

    DOEpatents

    Weiss, R.B.; Kimball, A.W.; Gesteland, R.F.; Ferguson, F.M.; Dunn, D.M.; Di Sera, L.J.; Cherry, J.L.

    1995-11-28

    A method is disclosed for automated multiplex sequencing of DNA with an integrated automated imaging hybridization chamber system. This system comprises an hybridization chamber device for mounting a membrane containing size-fractionated multiplex sequencing reaction products, apparatus for fluid delivery to the chamber device, imaging apparatus for light delivery to the membrane and image recording of fluorescence emanating from the membrane while in the chamber device, and programmable controller apparatus for controlling operation of the system. The multiplex reaction products are hybridized with a probe, the enzyme (such as alkaline phosphatase) is bound to a binding moiety on the probe, and a fluorogenic substrate (such as a benzothiazole derivative) is introduced into the chamber device by the fluid delivery apparatus. The enzyme converts the fluorogenic substrate into a fluorescent product which, when illuminated in the chamber device with a beam of light from the imaging apparatus, excites fluorescence of the fluorescent product to produce a pattern of hybridization. The pattern of hybridization is imaged by a CCD camera component of the imaging apparatus to obtain a series of digital signals. These signals are converted by the controller apparatus into a string of nucleotides corresponding to the nucleotide sequence an automated sequence reader. The method and apparatus are also applicable to other membrane-based applications such as colony and plaque hybridization and Southern, Northern, and Western blots. 9 figs.

  12. Automated hybridization/imaging device for fluorescent multiplex DNA sequencing

    DOEpatents

    Weiss, Robert B.; Kimball, Alvin W.; Gesteland, Raymond F.; Ferguson, F. Mark; Dunn, Diane M.; Di Sera, Leonard J.; Cherry, Joshua L.

    1995-01-01

    A method is disclosed for automated multiplex sequencing of DNA with an integrated automated imaging hybridization chamber system. This system comprises an hybridization chamber device for mounting a membrane containing size-fractionated multiplex sequencing reaction products, apparatus for fluid delivery to the chamber device, imaging apparatus for light delivery to the membrane and image recording of fluorescence emanating from the membrane while in the chamber device, and programmable controller apparatus for controlling operation of the system. The multiplex reaction products are hybridized with a probe, then an enzyme (such as alkaline phosphatase) is bound to a binding moiety on the probe, and a fluorogenic substrate (such as a benzothiazole derivative) is introduced into the chamber device by the fluid delivery apparatus. The enzyme converts the fluorogenic substrate into a fluorescent product which, when illuminated in the chamber device with a beam of light from the imaging apparatus, excites fluorescence of the fluorescent product to produce a pattern of hybridization. The pattern of hybridization is imaged by a CCD camera component of the imaging apparatus to obtain a series of digital signals. These signals are converted by the controller apparatus into a string of nucleotides corresponding to the nucleotide sequence an automated sequence reader. The method and apparatus are also applicable to other membrane-based applications such as colony and plaque hybridization and Southern, Northern, and Western blots.

  13. 2009 Total Energy Production by State | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Total Energy Production by State 2009 Total Energy Production by State 2009 Total Energy Production by State...

  14. Transportation fuels from wood

    SciTech Connect

    Baker, E.G.; Elliott, D.C.; Stevens, D.J.

    1980-01-01

    The various methods of producing transportation fuels from wood are evaluated in this paper. These methods include direct liquefaction schemes such as hydrolysis/fermentation, pyrolysis, and thermochemical liquefaction. Indirect liquefaction techniques involve gasification followed by liquid fuels synthesis such as methanol synthesis or the Fischer-Tropsch synthesis. The cost of transportation fuels produced by the various methods are compared. In addition, three ongoing programs at Pacific Northwest Laboratory dealing with liquid fuels from wood are described.

  15. Fluid transport container

    DOEpatents

    DeRoos, Bradley G.; Downing, Jr., John P.; Neal, Michael P.

    1995-01-01

    An improved fluid container for the transport, collection, and dispensing of a sample fluid that maintains the fluid integrity relative to the conditions of the location at which it is taken. More specifically, the invention is a fluid sample transport container that utilizes a fitment for both penetrating and sealing a storage container under controlled conditions. Additionally, the invention allows for the periodic withdrawal of portions of the sample fluid without contamination or intermixing from the environment surrounding the sample container.

  16. Tape transport mechanism

    DOEpatents

    Groh, Edward F.; McDowell, William; Modjeski, Norbert S.; Keefe, Donald J.; Groer, Peter

    1979-01-01

    A device is provided for transporting, in a stepwise manner, tape between a feed reel and takeup reel. An indexer moves across the normal path of the tape displacing it while the tape on the takeup reel side of the indexer is braked. After displacement, the takeup reel takes up the displaced tape while the tape on the feed reel side of the indexer is braked, providing stepwise tape transport in precise intervals determined by the amount of displacement caused by the indexer.

  17. Fluid transport container

    DOEpatents

    DeRoos, B.G.; Downing, J.P. Jr.; Neal, M.P.

    1995-11-14

    An improved fluid container for the transport, collection, and dispensing of a sample fluid that maintains the fluid integrity relative to the conditions of the location at which it is taken. More specifically, the invention is a fluid sample transport container that utilizes a fitting for both penetrating and sealing a storage container under controlled conditions. Additionally, the invention allows for the periodic withdrawal of portions of the sample fluid without contamination or intermixing from the environment surrounding the sample container. 13 figs.

  18. NREL: Transportation Research - Projects

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Projects Illustration of aerodynamic light-, medium, and heavy-duty vehicles. NREL research helps optimize the energy efficiency of a wide range of vehicle technologies and applications. NREL's innovative transportation research, development, and deployment projects accelerate widespread adoption of high-performance, low-emission, energy-efficient passenger and freight vehicles, as well as alternative fuels and related infrastructure. The following NREL transportation projects are propelling

  19. Transportation Data Archiving

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Transportation Data Archiving This email address is being protected from spambots. You need JavaScript enabled to view it. - TRACC Director Background Urban and regional transportation planning and operations applications, (e.g. traffic modeling) require a large volume of accurate traffic-related data for a wide range of conditions. Significant real-time data on traffic volumes, highway construction, accidents, weather, airline flights, commuter and rail schedules, etc., are recorded each day by

  20. Transportation Politics and Policy

    Gasoline and Diesel Fuel Update

    Reducing Greenhouse Gas Emissions from U.S. Transportation Steven Plotkin, Argonne National Laboratory (co-author is David Greene of Oak Ridge) 2011 EIA Energy Conference May 26-27, 2011 Washington, DC Overview  Presentation based on recent report from the Pew Center on Global Climate Change  Task: Assess the potential to substantially reduce transportation's GHG emissions by 2035 & 2050.  Base Case: Annual Energy Outlook 2010 Reference Case, extended to 2050  Three scenarios