National Library of Energy BETA

Sample records for inputs capacity inputs

  1. Refiner Crude Oil Inputs

    U.S. Energy Information Administration (EIA) (indexed site)

    Net Inputs (Refiner and Blender) of RBOB Blending Components Net Inputs (Refiner and Blender) of CBOB Blending Components Net Inputs (Refiner and Blender) of GTAB Blending ...

  2. Prioritization Tool Measurement Input Form

    Office of Energy Efficiency and Renewable Energy (EERE)

    BTO encourages stakeholders to recommend updates and improvements to the Prioritization Tool by using the below Measure Input Form.

  3. Appendix A Scoping Input Appendix ...

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

    68 December 2014 List of Appendices Appendix A Scoping Input ... States (U.S.) mail and via email based on standard U.S. ... Zoning has reviewed the documents related to the DOE new ...

  4. Generation Inputs Workshop June 25, 2014

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

    Inputs Workshop 25 June 2014 BPA's Centralized Wind Power Forecasting Initiative Scott Winner June 25, 2014 Generation Inputs Workshop Predecisional. For Discussion Purposes Only....

  5. ,"Florida Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Florida Natural Gas Input Supplemental Fuels ... 1:56:30 AM" "Back to Contents","Data 1: Florida Natural Gas Input Supplemental Fuels ...

  6. Channel-capacity gain in entanglement-assisted communication protocols based exclusively on linear optics, single-photon inputs, and coincidence photon counting

    SciTech Connect (OSTI)

    Lougovski, P.; Uskov, D. B.

    2015-08-04

    Entanglement can effectively increase communication channel capacity as evidenced by dense coding that predicts a capacity gain of 1 bit when compared to entanglement-free protocols. However, dense coding relies on Bell states and when implemented using photons the capacity gain is bounded by 0.585 bits due to one's inability to discriminate between the four optically encoded Bell states. In this research we study the following question: Are there alternative entanglement-assisted protocols that rely only on linear optics, coincidence photon counting, and separable single-photon input states and at the same time provide a greater capacity gain than 0.585 bits? In this study, we show that besides the Bell states there is a class of bipartite four-mode two-photon entangled states that facilitate an increase in channel capacity. We also discuss how the proposed scheme can be generalized to the case of two-photon N-mode entangled states for N=6,8.

  7. Channel-capacity gain in entanglement-assisted communication protocols based exclusively on linear optics, single-photon inputs, and coincidence photon counting

    DOE PAGES-Beta [OSTI]

    Lougovski, P.; Uskov, D. B.

    2015-08-04

    Entanglement can effectively increase communication channel capacity as evidenced by dense coding that predicts a capacity gain of 1 bit when compared to entanglement-free protocols. However, dense coding relies on Bell states and when implemented using photons the capacity gain is bounded by 0.585 bits due to one's inability to discriminate between the four optically encoded Bell states. In this research we study the following question: Are there alternative entanglement-assisted protocols that rely only on linear optics, coincidence photon counting, and separable single-photon input states and at the same time provide a greater capacity gain than 0.585 bits? In thismore » study, we show that besides the Bell states there is a class of bipartite four-mode two-photon entangled states that facilitate an increase in channel capacity. We also discuss how the proposed scheme can be generalized to the case of two-photon N-mode entangled states for N=6,8.« less

  8. ,"U.S. Refinery Net Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    ...RONUS1","MO9RONUS1","MBARONUS1" "Date","U.S. Refinery Net Input of Crude Oil and Petroleum Products (Thousand Barrels)","U.S. Refinery Net Input of Crude Oil (Thousand ...

  9. Recommendation 177: Facilitating Early Public Input

    Energy.gov [DOE]

    DOE should initiate consultation meetings with stake holders immediately to allow early public input into the planning for IFDP

  10. PADD 2 Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update

    394 3,533 3,625 3,549 3,624 3,636 1992-2016 Gross Inputs 3,395 3,534 3,626 3,550 3,626 3,637 1990-2016 Operable Capacity (Calendar Day) 3,934 3,934 3,934 3,934 3,934 3,934 2010-2016 Percent Operable Utilization 86.3 89.8 92.2 90.2 92.2 92.5 2010-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components 416 340 431 382 356 216 2004-2016 RBOB 33 3 73 38 37 98 2010-2016 CBOB 304 282 261 263 281 59 2004-2016 GTAB 0 0 0 0 0 0 2004-2016 All Other 79 55 97 81 38 60 2004-2016 Fuel Ethanol

  11. ,"Maine Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  12. ,"U.S. Refinery Net Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    ...petpnpinpt2dcnusmbbla.htm" ,"Source:","Energy Information Administration" ,"For Help, ... Barrels)","U.S. Refinery Net Input of Hydrogen (Thousand Barrels)","U.S. Refinery Net ...

  13. decreasing water input and waste generation

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

    decreasing water input and waste generation - Sandia Energy Energy Search Icon Sandia Home ... Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 ...

  14. Input apparatus for dynamic signature verification systems

    DOE Patents [OSTI]

    EerNisse, Errol P.; Land, Cecil E.; Snelling, Jay B.

    1978-01-01

    The disclosure relates to signature verification input apparatus comprising a writing instrument and platen containing piezoelectric transducers which generate signals in response to writing pressures.

  15. ,"U.S. Blender Net Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    10:21:53 PM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRBNUS1...US1","MO7RBNUS1","MO9RBNUS1" "Date","U.S. Blender Net Input of Total Petroleum ...

  16. PADD 3 Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update

    8,164 8,079 8,135 8,128 8,297 8,580 1992-2016 Gross Inputs 8,257 8,271 8,252 8,255 8,393 8,751 1990-2016 Operable Capacity (Calendar Day) 9,605 9,605 9,605 9,605 9,605 9,605 2010-2016 Percent Operable Utilization 86.0 86.1 85.9 86.0 87.4 91.1 2010-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components -1,794 -1,894 -1,951 -2,011 -1,902 -2,196 2004-2016 RBOB -234 -311 -149 -286 -245 -237 2010-2016 CBOB -1,654 -1,763 -1,794 -1,671 -1,699 -1,923 2004-2016 GTAB 0 0 0 0 0 0 2004-2016

  17. US Nuclear Regulatory Commission Input to DOE Request for Information...

    Energy Savers

    US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart ...

  18. Wireless, relative-motion computer input device

    DOE Patents [OSTI]

    Holzrichter, John F.; Rosenbury, Erwin T.

    2004-05-18

    The present invention provides a system for controlling a computer display in a workspace using an input unit/output unit. A train of EM waves are sent out to flood the workspace. EM waves are reflected from the input unit/output unit. A relative distance moved information signal is created using the EM waves that are reflected from the input unit/output unit. Algorithms are used to convert the relative distance moved information signal to a display signal. The computer display is controlled in response to the display signal.

  19. U-147:Red Hat Enterprise MRG Grid Input Validation Flaw

    Office of Energy Efficiency and Renewable Energy (EERE)

    The MRG Management Console (Cumin) does not properly filter HTML code from user-supplied input before displaying the input.

  20. U-139: IBM Tivoli Directory Server Input Validation Flaw

    Energy.gov [DOE]

    The Web Admin Tool does not properly filter HTML code from user-supplied input before displaying the input.

  1. Influential input classification in probabilistic multimedia models

    SciTech Connect (OSTI)

    Maddalena, Randy L.; McKone, Thomas E.; Hsieh, Dennis P.H.; Geng, Shu

    1999-05-01

    Monte Carlo analysis is a statistical simulation method that is often used to assess and quantify the outcome variance in complex environmental fate and effects models. Total outcome variance of these models is a function of (1) the uncertainty and/or variability associated with each model input and (2) the sensitivity of the model outcome to changes in the inputs. To propagate variance through a model using Monte Carlo techniques, each variable must be assigned a probability distribution. The validity of these distributions directly influences the accuracy and reliability of the model outcome. To efficiently allocate resources for constructing distributions one should first identify the most influential set of variables in the model. Although existing sensitivity and uncertainty analysis methods can provide a relative ranking of the importance of model inputs, they fail to identify the minimum set of stochastic inputs necessary to sufficiently characterize the outcome variance. In this paper, we describe and demonstrate a novel sensitivity/uncertainty analysis method for assessing the importance of each variable in a multimedia environmental fate model. Our analyses show that for a given scenario, a relatively small number of input variables influence the central tendency of the model and an even smaller set determines the shape of the outcome distribution. For each input, the level of influence depends on the scenario under consideration. This information is useful for developing site specific models and improving our understanding of the processes that have the greatest influence on the variance in outcomes from multimedia models.

  2. U.S. Weekly Inputs & Utilization

    U.S. Energy Information Administration (EIA) (indexed site)

    Area: U.S. East Coast (PADD 1) Midwest (PADD 2) Gulf Coast (PADD 3) Rocky Mountain (PADD 4) West Coast (PADD 5) Period: Weekly 4-Week Average Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 10/07/16 10/14/16 10/21/16 10/28/16 11/04/16 11/11/16 View History Refiner Inputs and Utilization Crude Oil Inputs 15,552 15,370 15,552 15,448 15,817 16,126 1982-2016 Gross Inputs 15,754 15,671 15,787 15,700

  3. Instrumentation for measuring energy inputs to implements

    SciTech Connect (OSTI)

    Tompkins, F.D.; Wilhelm, L.R.

    1981-01-01

    A microcomputer-based instrumentation system for monitoring tractor operating parameters and energy inputs to implements was developed and mounted on a 75-power-takeoff-KW tractor. The instrumentation system, including sensors and data handling equipment, is discussed. 10 refs.

  4. Addressing Uncertainties in Design Inputs: A Case Study of Probabilist...

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Addressing Uncertainties in Design Inputs: A Case ...

  5. Table 3. U.S. Inputs to biodiesel production

    U.S. Energy Information Administration (EIA) (indexed site)

    U.S. Inputs to biodiesel production" "million pounds" ,"Feedstock inputs" ,"Vegetable ... Administration, Form EIA-22M ""Monthly Biodiesel Production Survey""" "U.S. Energy ...

  6. Florida Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    Annual Energy Outlook

    Input Supplemental Fuels (Million Cubic Feet) Florida Natural Gas Input Supplemental Fuels ... Total Supplemental Supply of Natural Gas Florida Supplemental Supplies of Natural Gas ...

  7. V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated...

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

    Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated...

  8. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits...

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

    3: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting...

  9. Nevada Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Nevada Natural Gas Input Supplemental Fuels ... Referring Pages: Total Supplemental Supply of Natural Gas Nevada Supplemental Supplies of ...

  10. Developing a low input and sustainable switchgrass feedstock...

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

    Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Developing a low input and sustainable switchgrass ...

  11. Tribal Leaders Provide White House with Input on Bolstering Climate...

    Office of Environmental Management (EM)

    Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 - 10:29am ...

  12. T-701: Citrix Access Gateway Enterprise Edition Input Validation...

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

    1: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks T-701: Citrix Access Gateway Enterprise Edition Input...

  13. New York Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update

    Input Supplemental Fuels (Million Cubic Feet) New York Natural Gas Input Supplemental ... Referring Pages: Total Supplemental Supply of Natural Gas New York Supplemental Supplies ...

  14. New Mexico Natural Gas Input Supplemental Fuels (Million Cubic...

    Annual Energy Outlook

    Input Supplemental Fuels (Million Cubic Feet) New Mexico Natural Gas Input Supplemental ... Referring Pages: Total Supplemental Supply of Natural Gas New Mexico Supplemental Supplies ...

  15. New Jersey Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update

    Input Supplemental Fuels (Million Cubic Feet) New Jersey Natural Gas Input Supplemental ... Referring Pages: Total Supplemental Supply of Natural Gas New Jersey Supplemental Supplies ...

  16. U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...

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

    2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

  17. North Carolina Natural Gas Input Supplemental Fuels (Million...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) North Carolina Natural Gas Input ... Referring Pages: Total Supplemental Supply of Natural Gas North Carolina Supplemental ...

  18. North Dakota Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) North Dakota Natural Gas Input Supplemental ... Referring Pages: Total Supplemental Supply of Natural Gas North Dakota Supplemental ...

  19. STCH Annual Merit Review Input - EERE Hydrogen Program. (Conference...

    Office of Scientific and Technical Information (OSTI)

    STCH Annual Merit Review Input - EERE Hydrogen Program. Citation Details In-Document Search Title: STCH Annual Merit Review Input - EERE Hydrogen Program. Abstract not provided. ...

  20. T-693: Symantec Endpoint Protection Manager Input Validation...

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

    Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site...

  1. XBox Input -Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2012-10-03

    Contains class for connecting to the Xbox 360 controller, displaying the user inputs {buttons, triggers, analog sticks), and controlling the rumble motors. Also contains classes for converting the raw Xbox 360 controller inputs into meaningful commands for the following objects: • Robot arms - Provides joint control and several tool control schemes • UGV's - Provides translational and rotational commands for "skid-steer" vehicles • Pan-tilt units - Provides several modes of control including velocity, position,more » and point-tracking • Head-mounted displays (HMO)- Controls the viewpoint of a HMO • Umbra frames - Controls the position andorientation of an Umbra posrot object • Umbra graphics window - Provides several modes of control for the Umbra OSG window viewpoint including free-fly, cursor-focused, and object following.« less

  2. CASIM input parameters for various materials

    SciTech Connect (OSTI)

    Malensek, A.J.; Elwyn, A.J.

    1994-07-14

    During the past year, the computer program CASIM has been placed in a common area from which copies can be obtained by a wide array of users. The impetus for this arrangement was the need to have a standard code that could be maintained and transported to other platforms. In addition, an historical record would be kept of each version as the program evolved. CASIM requires a series of parameters (input by the user) that describe the medium in which the cascade develops. Presently a total of 9 materials can be defined. Occasions arise when one needs to know the properties of materials (elements, compounds, and mixtures) that have not been defined. Because it is desirable to have a uniform set of values for all CASIM users, this note presents a methodology for obtaining the input parameters for an arbitrary material. They are read in by the Subroutine CASIM{underscore}PROG from the user supplied file CASIM.DAT.

  3. Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs

    DOE PAGES-Beta [OSTI]

    Smallwood, David O.

    2007-01-01

    A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one willmore » result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.« less

  4. U.S. Blender Net Input

    U.S. Energy Information Administration (EIA) (indexed site)

    2010 2011 2012 2013 2014 2015 View History Total Input 2,166,784 2,331,109 2,399,318 2,539,812 2,824,480 2,989,233 2005-2015 Natural Gas Plant Liquids and Liquefied Refinery Gases 6,538 7,810 10,663 12,304 14,038 16,322 2008-2015 Pentanes Plus 1,989 2,326 4,164 4,241 3,184 2,561 2005-2015 Liquid Petroleum Gases 4,549 5,484 6,499 8,063 10,854 13,761 2008-2015 Normal Butane 4,549 5,484 6,499 8,063 10,823 13,722 2005-2015 Isobutane 31 39 2005-2015 Other Liquids 2,160,246 2,323,299 2,388,655

  5. U.S. Blender Net Input

    U.S. Energy Information Administration (EIA) (indexed site)

    Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 View History Total Input 257,960 253,448 266,176 262,899 269,507 271,792 2005-2016 Natural Gas Plant Liquids and Liquefied Refinery Gases 1,783 1,315 339 414 336 657 2008-2016 Pentanes Plus 423 177 194 276 191 288 2005-2016 Liquid Petroleum Gases 1,360 1,138 145 138 145 369 2008-2016 Normal Butane 1,360 1,138 145 138 145 369 2005-2016 Isobutane 2005-2015 Other Liquids 256,177 252,133 265,837 262,485 269,171 271,135 2008-2016 Oxygenates/Renewables 27,683

  6. Environmental geological input into urban construction planning

    SciTech Connect (OSTI)

    Berry, W.B.N. . Dept. of Geology and Geophysics)

    1992-01-01

    Environmental issues resulting from planning new construction in urban areas requires understanding of geological processes at many steps in project development. Steps include: assessments of geological characteristics of the proposed construction site, building design features in light of the geological characteristics, development of the geology component of the EIR as well as any mitigations required, and writing special environmental geological concerns into specifications required of the contractor. The latter step may be exemplified in planning a new underground library being constructed in the center of the Berkeley Campus. The site is within 50 yards of a creek that has been restored such that fish now live in it whereas none could three years ago. Runoff from paved parking lots and walkways around existing buildings goes into storm drains that empty directly into the creek. Because they do, creek water is monitored for chemical and solid wastes as well as turbidity. Based on geological input, special project procedures were written to which the contractor must adhere during site preparation and construction. These include: all liquid wastes must be contained in impermeable containers, all hazardous wastes must be removed under state waste removal guidelines, dewatering procedures were developed to remove groundwater that flows through permeable sands and gravels from the creek bed into the construction site and must be followed, and soil flux into the creek must be prevented. Mitigation of soil flux includes watering areas of the site as soil is excavated. Watering must be monitored because the contractor tends to overwater which flushes soil down nearby storm drains into the creek. As well, soil control monitoring includes preventing the contractor from sweeping soil into the storm drains and flushing it into the creek. Geological input has proven valuable in addressing different environmental concerns.

  7. Clean Energy Investment Center Seeks Input to Enhance Its Services...

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

    Clean Energy Investment Center Seeks Input to Enhance Its Services Clean Energy Investment Center Seeks Input to Enhance Its Services March 2, 2016 - 9:21am Addthis On March 1, the ...

  8. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross...

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

    3: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks July 5, 2013 -...

  9. Wyoming Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Wyoming Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  10. Illinois Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  11. Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  12. Connecticut Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  13. Oregon Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Oregon Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 ...

  14. Kentucky Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Kentucky Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  15. Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 ...

  16. Arizona Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Arizona Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  17. Virginia Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Virginia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  18. Arkansas Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Arkansas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  19. Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  20. Colorado Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  1. District of Columbia Natural Gas Input Supplemental Fuels (Million...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 ...

  2. Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 ...

  3. Alabama Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Alabama Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  4. Nebraska Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  5. Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 ...

  6. Washington Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  7. Delaware Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  8. Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  9. Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  10. U-144:Juniper Secure Access Input Validation Flaw Permits Cross...

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

    4:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks April 10,...

  11. ,"U.S. Refinery Crude Oil Input Qualities"

    U.S. Energy Information Administration (EIA) (indexed site)

    Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31062,0.88,32.64 ...

  12. ,"U.S. Refinery Crude Oil Input Qualities"

    U.S. Energy Information Administration (EIA) (indexed site)

    Content (Weighted Average) of Crude Oil Input to Refineries (Percent)","U.S. API Gravity (Weighted Average) of Crude Oil Input to Refineries (Degrees)" 31228,0.91,32.46 ...

  13. New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic...

    Annual Energy Outlook

    Input Supplemental Fuels (Million Cubic Feet) New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 ...

  14. ,"U.S. Downstream Processing of Fresh Feed Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input by Catalytic Cracking Units (Thousand Barrels per Day)","U.S. Downstream Processing of Fresh Feed Input ...

  15. Refinery Input by PADD - Petroleum Supply Annual (2004)

    SciTech Connect (OSTI)

    2009-01-18

    Table showing refinery input of crude oil and petroleum products by Petroleum Administration for Defense Districts (PADD).

  16. Input File Creation for the Molecular Dynamics Program LAMMPS.

    Energy Science and Technology Software Center (OSTI)

    2001-05-30

    The program creates an input data file for the molecular dynamics program LAMMPS. The input file created is a liquid mixture between two walls explicitly composed of particles. The liquid molecules are modeled as a bead-spring molecule. The input data file specifies the position and topology of the starting state. The data structure of input allows for dynamic bond creation (cross-linking) within the LAMMPS code.

  17. U-001:Symantec IM Manager Input Validation Flaws

    Energy.gov [DOE]

    Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks.

  18. U.S. Total Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update

    6,126 15,822 15,627 15,481 15,547 15,736 1982-2016 Gross Inputs 16,402 16,079 15,874 15,728 15,802 15,996 1990-2016 Operable Capacity (Calendar Day) 18,436 18,436 18,436 18,436 18,436 18,436 1990-2016 Percent Operable Utilization 89.0 87.2 86.1 85.3 85.7 86.8 1990-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components 841 948 995 996 962 768 2008-2016 RBOB 365 394 433 447 515 436 2010-2016 CBOB 57 4 -48 19 42 -29 2010-2016 GTAB 108 78 110 74 52 79 2010-2016 All Other 311 472 501

  19. Analysis of Stochastic Response of Neural Networks with Stochastic Input

    Energy Science and Technology Software Center (OSTI)

    1996-10-10

    Software permits the user to extend capability of his/her neural network to include probablistic characteristics of input parameter. User inputs topology and weights associated with neural network along with distributional characteristics of input parameters. Network response is provided via a cumulative density function of network response variable.

  20. Input visualization for the Cyclus nuclear fuel cycle simulator: CYClus Input Control

    SciTech Connect (OSTI)

    Flanagan, R.; Schneider, E.

    2013-07-01

    This paper discusses and demonstrates the methods used for the graphical user interface for the Cyclus fuel cycle simulator being developed at the University of Wisconsin-Madison. Cyclus Input Control (CYCIC) is currently being designed with nuclear engineers in mind, but future updates to the program will be made to allow even non-technical users to quickly and efficiently simulate fuel cycles to answer the questions important to them. (authors)

  1. High-frequency matrix converter with square wave input

    SciTech Connect (OSTI)

    Carr, Joseph Alexander; Balda, Juan Carlos

    2015-03-31

    A device for producing an alternating current output voltage from a high-frequency, square-wave input voltage comprising, high-frequency, square-wave input a matrix converter and a control system. The matrix converter comprises a plurality of electrical switches. The high-frequency input and the matrix converter are electrically connected to each other. The control system is connected to each switch of the matrix converter. The control system is electrically connected to the input of the matrix converter. The control system is configured to operate each electrical switch of the matrix converter converting a high-frequency, square-wave input voltage across the first input port of the matrix converter and the second input port of the matrix converter to an alternating current output voltage at the output of the matrix converter.

  2. NIDR (New Input Deck Reader) V2.0 2

    Energy Science and Technology Software Center (OSTI)

    2010-03-31

    NIDR (New Input Deck Reader) is a facility for processing block-structured input to large programs. NIDR was written to simplify maintenance of DAKOTA (a program for uncertainty quantification and optimization), to provide better error checking of input and to allow use of aliases in the input. While written to support DAKOTA input conventions, NIDR itself is independent of DAKOTA and can be used in many kinds of programs. The initial version of NIDR was copyrightedmore » in 2008. We have since extended NIDR to support a graphical user interface called Jaguar for DAKOTA. In the Review and Approval process for an updated paper on NIDR, the Classification Approver states that a new copyright assertion should be performed.processing input to programs. NIDR is not primarily for military applications.« less

  3. Generates 2D Input for DYNA NIKE & TOPAZ

    Energy Science and Technology Software Center (OSTI)

    1996-07-15

    MAZE is an interactive program that serves as an input and two-dimensional mesh generator for DYNA2D, NIKE2D, TOPAZ2D, and CHEMICAL TOPAZ2D. MAZE also generates a basic template for ISLAND input. MAZE has been applied to the generation of input data to study the response of two-dimensional solids and structures undergoing finite deformations under a wide variety of large deformation transient dynamic and static problems and heat transfer analyses.

  4. V-192: Symantec Security Information Manager Input Validation...

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

    Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site...

  5. Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 ... of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition)

  6. BETO Seeks Stakeholder Input on Achieving High Yields from Algal...

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

    BETO is seeking input from industry, academia, and other stakeholders regarding supply systems and services for the cultivation, logistics, and preprocessing of algal feedstocks. ...

  7. Developing a low input and sustainable switchgrass feedstock production

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

    system utilizing beneficial bacterial endophytes | Department of Energy Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Dr. Chuansheng Mei gave this presentation at the Symbiosis Conference. symbiosis_conference_mei.pdf (2.47 MB) More Documents & Publications Symbiosis Biofeedstock Conference:

  8. Residential oil burners with low input and two stages firing

    SciTech Connect (OSTI)

    Butcher, T.; Krajewski, R.; Leigh, R.

    1997-12-31

    The residential oil burner market is currently dominated by the pressure-atomized, retention head burner. At low firing rates pressure atomizing nozzles suffer rapid fouling of the small internal passages, leading to bad spray patterns and poor combustion performance. To overcome the low input limitations of conventional burners, a low pressure air-atomized burner has been developed watch can operate at fining rates as low as 0.25 gallons of oil per hour (10 kW). In addition, the burner can be operated in a high/low fining rate mode. Field tests with this burner have been conducted at a fixed input rate of 0.35 gph (14 kW) with a side-wall vented boiler/water storage tank combination. At the test home, instrumentation was installed to measure fuel and energy flows and record trends in system temperatures. Laboratory efficiency testing with water heaters and boilers has been completed using standard single purpose and combined appliance test procedures. The tests quantify benefits due to low firing rates and other burner features. A two stage oil burner gains a strong advantage in rated efficiency while maintaining capacity for high domestic hot water and space heating loads.

  9. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, R.P.; Paris, R.D.; Feldman, M.

    1993-02-23

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  10. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, Richard P.; Paris, Robert D.; Feldman, Mark

    1993-01-01

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  11. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    Several scripts do not properly filter HTML code from user-supplied input before displaying the input via several parameters

  12. T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input before displaying the input.

  13. V-139: Cisco Network Admission Control Input Validation Flaw...

    Energy.gov (indexed) [DOE]

    PROBLEM: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands PLATFORM: Cisco NAC Manager versions prior to 4.8.3.1 and 4.9.2 ABSTRACT: A...

  14. DOE Seeks Industry Input on Nickel Disposition Strategy | Department...

    Office of Environmental Management (EM)

    Read more about the EOI here. Addthis Related Articles DOE Seeking Input on Alternative Uses of Nickel Inventory Crane operator Brian Lambert of Fluor-BWXT Portsmouth (FBP), DOE ...

  15. NREL Seeks Industry Input to Illuminate Trends in Renewable Energy

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

    Financing - News Releases | NREL NREL Seeks Industry Input to Illuminate Trends in Renewable Energy Financing August 8, 2011 The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) is seeking input from energy developers and financiers as part of an ongoing effort to collect and share quantitative data on renewable energy financing terms and to assess barriers to renewable energy development. The current Renewable Energy Finance Tracking Initiative (REFTI)

  16. US Nuclear Regulatory Commission Input to DOE Request for Information Smart

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

    Grid Implementation Input | Department of Energy US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input. Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New

  17. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S.

    1981-01-01

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  18. South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 74 184 63 73 62 87 31 22 191 201 1990's 17 47 26 34 154 62 178 10 0 18 2000's 63 6 3 15 2 86 75 0 2010's 0 0 17 9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  19. Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 249 435 553 560 517 478 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Total Supplemental Supply of Natural Gas Louisiana Supplemental

  20. Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 484 498 984 352 332 373 155 136 743 899 1990's 24 72 126 418 987 609 882 178 80 498 2000's 319 186 48 160 124 382 41 245 181 170 2010's 115 89 116 107 809 818 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  1. Abandoned Uranium Mines Report to Congress: LM Wants Your Input |

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

    Department of Energy Abandoned Uranium Mines Report to Congress: LM Wants Your Input Abandoned Uranium Mines Report to Congress: LM Wants Your Input April 11, 2013 - 1:33pm Addthis C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts C-SR-10 Uintah Mine, Colorado, LM Uranium Lease Tracts What does this project do? Goal 4. Optimize the use of land and assets Abandoned Uranium Mines Report to Congress The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is seeking stakeholder

  2. Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic

    Office of Environmental Management (EM)

    Activities and Events Activities and Events Upcoming Events Please check back soon! Summary of Public Input Meeting On September 15, 2016, the Department hosted a meeting to summarize the input received in the initial phase of public engagement on consent-based siting and discuss next steps in designing a process. To learn more about this event and view an agenda, please click here. Please check back soon for a summary and video of the event. Consent-Based Siting Public Meetings Consent-based

  3. Fee Determinations: Requirement to Obtain Acquisition Executive's Input

    Energy.gov [DOE]

    On January 28, 2013, the Deputy Secretary issued the attached memorandum to the Department's senior officials requiring any Fee Determining Official whose contract falls under the cognizance of an Acquisition Executive to brief and obtain the input of that Acquisition Executive before determining earned fee under the contract.

  4. U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input.

  5. Input for solar annual merit review. (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Input for solar annual merit review. Citation Details In-Document Search Title: Input for solar annual merit review. Abstract not provided. Authors: Siegel, Nathan Phillip ...

  6. Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 12 42 90 39 25 36 13 26 36 78 1990's 3 8 12 13 84 33 73 19 4 11 2000's 13 0 1 1 0 0 0 0 0 0 2010's 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016

  7. Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 1 14 2 9 19 4 4 9 1990's 1,240 1,076 1 3 1 1 0 0 0 17 2000's 0 1,505 2 0 0 0 0 0 0 0 2010's 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next

  8. Agricultural and Environmental Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    K. Rasmuson; K. Rautenstrauch

    2004-09-14

    This analysis is one of 10 technical reports that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN) (i.e., the biosphere model). It documents development of agricultural and environmental input parameters for the biosphere model, and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for the repository at Yucca Mountain. The ERMYN provides the TSPA with the capability to perform dose assessments. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships between the major activities and their products (the analysis and model reports) that were planned in ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the ERMYN and its input parameters.

  9. Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,127 10,532 5,621 3,844 82 221 196 247 254 305 1990's 220 222 132 110 252 75 266 135 80 119 2000's 261 107 103 126 131 132 124 145 123 205 2010's 4 2 2 3 20 28 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  10. Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 257 951 718 594 102 130 182 109 391 219 1990's 51 92 155 126 0 27 42 18 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  11. South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 24 50 1 0 0 0 0 10 16 1990's 10 3 10 9 61 37 87 30 4 5 2000's 13 5 3 57 5 4 0 1 0 0 2010's 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next

  12. An input shaping controller enabling cranes to move without sway

    SciTech Connect (OSTI)

    Singer, N.; Singhose, W.; Kriikku, E.

    1997-06-01

    A gantry crane at the Savannah River Technology Center was retrofitted with an Input Shaping controller. The controller intercepts the operator`s pendant commands and modifies them in real time so that the crane is moved without residual sway in the suspended load. Mechanical components on the crane were modified to make the crane suitable for the anti-sway algorithm. This paper will describe the required mechanical modifications to the crane, as well as, a new form of Input Shaping that was developed for use on the crane. Experimental results are presented which demonstrate the effectiveness of the new process. Several practical considerations will be discussed including a novel (patent pending) approach for making small, accurate moves without residual oscillations.

  13. Maine Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Maine Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 157 94 71 12 0 0 0 0 0 0 1990's 0 0 0 0 0 96 61 31 24 43 2000's 6 0 5 6 0 0 0 0 0 0 2010's 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release

  14. Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15,366 21,828 17,586 10,732 6,545 3,668 2,379 1,404 876 692 1990's 317 120 105 61 154 420 426 147 68 134 2000's 26 16 137 324 80 46 51 15 13 10 2010's 0 3 108 90 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  15. Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3 3,038 2,473 2,956 2,773 2,789 2,754 2,483 2,402 2,402 1990's 19,106 15,016 14,694 12,795 13,688 21,378 21,848 22,238 21,967 20,896 2000's 12,423 4,054 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  16. Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 48 106 337 1 3 11 2 1 385 315 1990's 56 49 52 78 289 194 709 172 50 64 2000's 101 118 13 42 71 154 13 54 46 47 2010's 12 20 9 22 66 10 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  17. Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet) Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 65 60 2,129 1,278 326 351 1 1 2 1,875 1990's 0 0 0 0 371 4 785 719 40 207 2000's 972 31 62 1,056 917 15 78 66 6 10 2010's 18 172 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  18. Microchannel cross load array with dense parallel input

    DOE Patents [OSTI]

    Swierkowski, Stefan P.

    2004-04-06

    An architecture or layout for microchannel arrays using T or Cross (+) loading for electrophoresis or other injection and separation chemistry that are performed in microfluidic configurations. This architecture enables a very dense layout of arrays of functionally identical shaped channels and it also solves the problem of simultaneously enabling efficient parallel shapes and biasing of the input wells, waste wells, and bias wells at the input end of the separation columns. One T load architecture uses circular holes with common rows, but not columns, which allows the flow paths for each channel to be identical in shape, using multiple mirror image pieces. Another T load architecture enables the access hole array to be formed on a biaxial, collinear grid suitable for EDM micromachining (square holes), with common rows and columns.

  19. Helstat: an anticipatory storage-heater input controller

    SciTech Connect (OSTI)

    McIntyre, D.A.

    1985-07-01

    A new charge input controller is described, for use with static emission or damper controlled storage radiators. The controller senses the inside surface temperature of an external wall at skirting level. The measurement position has the following advantages: it is influenced by both inside and outside temperatures; it dampens out external temperature fluctuations; and it is relatively insensitive to short-term internal air temperature variations.

  20. PERSPECTIVES ON A DOE CONSEQUENCE INPUTS FOR ACCIDENT ANALYSIS APPLICATIONS

    SciTech Connect (OSTI)

    , K; Jonathan Lowrie, J; David Thoman , D; Austin Keller , A

    2008-07-30

    Department of Energy (DOE) accident analysis for establishing the required control sets for nuclear facility safety applies a series of simplifying, reasonably conservative assumptions regarding inputs and methodologies for quantifying dose consequences. Most of the analytical practices are conservative, have a technical basis, and are based on regulatory precedent. However, others are judgmental and based on older understanding of phenomenology. The latter type of practices can be found in modeling hypothetical releases into the atmosphere and the subsequent exposure. Often the judgments applied are not based on current technical understanding but on work that has been superseded. The objective of this paper is to review the technical basis for the major inputs and assumptions in the quantification of consequence estimates supporting DOE accident analysis, and to identify those that could be reassessed in light of current understanding of atmospheric dispersion and radiological exposure. Inputs and assumptions of interest include: Meteorological data basis; Breathing rate; and Inhalation dose conversion factor. A simple dose calculation is provided to show the relative difference achieved by improving the technical bases.

  1. Summary of Input Request for Information DE-FOA-0001346 | Department of

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

    Energy Input Request for Information DE-FOA-0001346 Summary of Input Request for Information DE-FOA-0001346 September 2015 (140.96 KB) More Documents & Publications Summary of Stakeholder Input From May 2015 Request for Information Summary of Input Request for Information DE-FOA-0001346

  2. Method of validating measurement data of a process parameter from a plurality of individual sensor inputs

    DOE Patents [OSTI]

    Scarola, Kenneth; Jamison, David S.; Manazir, Richard M.; Rescorl, Robert L.; Harmon, Daryl L.

    1998-01-01

    A method for generating a validated measurement of a process parameter at a point in time by using a plurality of individual sensor inputs from a scan of said sensors at said point in time. The sensor inputs from said scan are stored and a first validation pass is initiated by computing an initial average of all stored sensor inputs. Each sensor input is deviation checked by comparing each input including a preset tolerance against the initial average input. If the first deviation check is unsatisfactory, the sensor which produced the unsatisfactory input is flagged as suspect. It is then determined whether at least two of the inputs have not been flagged as suspect and are therefore considered good inputs. If two or more inputs are good, a second validation pass is initiated by computing a second average of all the good sensor inputs, and deviation checking the good inputs by comparing each good input including a present tolerance against the second average. If the second deviation check is satisfactory, the second average is displayed as the validated measurement and the suspect sensor as flagged as bad. A validation fault occurs if at least two inputs are not considered good, or if the second deviation check is not satisfactory. In the latter situation the inputs from each of all the sensors are compared against the last validated measurement and the value from the sensor input that deviates the least from the last valid measurement is displayed.

  3. Characterization of industrial process waste heat and input heat streams

    SciTech Connect (OSTI)

    Wilfert, G.L.; Huber, H.B.; Dodge, R.E.; Garrett-Price, B.A.; Fassbender, L.L.; Griffin, E.A.; Brown, D.R.; Moore, N.L.

    1984-05-01

    The nature and extent of industrial waste heat associated with the manufacturing sector of the US economy are identified. Industry energy information is reviewed and the energy content in waste heat streams emanating from 108 energy-intensive industrial processes is estimated. Generic types of process equipment are identified and the energy content in gaseous, liquid, and steam waste streams emanating from this equipment is evaluated. Matchups between the energy content of waste heat streams and candidate uses are identified. The resultant matrix identifies 256 source/sink (waste heat/candidate input heat) temperature combinations. (MHR)

  4. Code System for Generation of Input Data for MCNP.

    Energy Science and Technology Software Center (OSTI)

    1998-07-16

    Version 00 The MSM-SOURCE code was designed for quick and easy estimations of basic stopping characteristics of proton transmission, for generation of the source definition (SDEF) portion of the input data for MCNP (for 3b- and 4- versions) [2], simulating the set of single neutron sources, produced in the sample during the proton transmission. It does not generate the ful MCNP input file. The results of calculations well reproduce the experimental data [3]. It permitsmore » one to extend the possibilities of the MCNP code for consideration of secondary neutrons from the proton interaction with nuclei of the sample substance. The MSM-SOURCE code is applicable for calculations of the proton transport for the incident energies from 0.1 to 1 GeV and various targets 12 < A < 238. This code is based of the Moving Source Model (MSM) (using the original parametrization [3],[4]) and Bethe stopping theory with the relativistic corrections for protons. It allows the estimations of the proton range, the changes of the proton current and the neutron production versus the depth. The double differential spectra and the multiplicities of nucleons, produced in the primary proton-induced reactions, are obtained. For the evaluation of inelastic cross section the original parametrization is used [4].« less

  5. Heat transfer analysis in Stirling engine heat input system

    SciTech Connect (OSTI)

    Chung, W.; Kim, S.

    1995-12-31

    One of the major factor in commercialization of Stirling engine is mass productivity, and the heat input system including tubular heater is one of the obstacles to mass production because of its complexity in shape and difficulty in manufacturing, which resulted from using oxidation-resistant, low-creep alloys which are not easy to machine and weld. Therefore a heater heat exchanger which is very simple in shape and easy to make has been devised, and a burner system appropriate to this heater also has been developed. In this paper specially devised heat input system which includes a heater shell shaped like U-cup and a flame tube located in the heater shell is analyzed in point of heat transfer processes to find optimum heat transfer. To enhance the heat transfer from the flame tube to the heater shell wall, it is required that the flame tube diameter be enlarged as close to the heater shell diameter as possible, and the flame tube temperature be raised as high as possible. But the enlargement of the flame tube diameter should be restricted by the state of combustion affected by hydraulic resistance of combustion gas, and the boost of the flame tube temperature should be considered carefully in the aspects of the flame tube`s service life.

  6. RF Input Power Couplers for High Current SRF Applications

    SciTech Connect (OSTI)

    Khan, V. F.; Anders, W.; Burrill, Andrew; Knobloch, Jens; Kugeler, Oliver; Neumann, Axel; Wang, Haipeng

    2014-12-01

    High current SRF technology is being explored in present day accelerator science. The bERLinPro project is presently being built at HZB to address the challenges involved in high current SRF machines with the goal of generating and accelerating a 100 mA electron beam to 50 MeV in continuous wave (cw) mode at 1.3 GHz. One of the main challenges in this project is that of handling the high input RF power required for the photo-injector as well as booster cavities where there is no energy recovery process. A high power co-axial input power coupler is being developed to be used for the photo-injector and booster cavities at the nominal beam current. The coupler is based on the KEK–cERL design and has been modified to minimise the penetration of the coupler tip in the beam pipe without compromising on beam-power coupling (Qext ~105). Herein we report on the RF design of the high power (115 kW per coupler, dual couplers per cavity) bERLinPro (BP) coupler along with initial results on thermal calculations. We summarise the RF conditioning of the TTF-III couplers (modified for cw operation) performed in the past at BESSY/HZB. A similar conditioning is envisaged in the near future for the low current SRF photo-injector and the bERLinPro main linac cryomodule.

  7. MULTIPLE INPUT BINARY ADDER EMPLOYING MAGNETIC DRUM DIGITAL COMPUTING APPARATUS

    DOE Patents [OSTI]

    Cooke-Yarborough, E.H.

    1960-12-01

    A digital computing apparatus is described for adding a plurality of multi-digit binary numbers. The apparatus comprises a rotating magnetic drum, a recording head, first and second reading heads disposed adjacent to the first and second recording tracks, and a series of timing signals recorded on the first track. A series of N groups of digit-representing signals is delivered to the recording head at time intervals corresponding to the timing signals, each group consisting of digits of the same significance in the numbers, and the signal series is recorded on the second track of the drum in synchronism with the timing signals on the first track. The multistage registers are stepped cyclically through all positions, and each of the multistage registers is coupled to the control lead of a separate gate circuit to open the corresponding gate at only one selected position in each cycle. One of the gates has its input coupled to the bistable element to receive the sum digit, and the output lead of this gate is coupled to the recording device. The inputs of the other gates receive the digits to be added from the second reading head, and the outputs of these gates are coupled to the adding register. A phase-setting pulse source is connected to each of the multistage registers individually to step the multistage registers to different initial positions in the cycle, and the phase-setting pulse source is actuated each N time interval to shift a sum digit to the bistable element, where the multistage register coupled to bistable element is operated by the phase- setting pulse source to that position in its cycle N steps before opening the first gate, so that this gate opens in synchronism with each of the shifts to pass the sum digits to the recording head.

  8. V-112: Microsoft SharePoint Input Validation Flaws Permit Cross...

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

    Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial...

  9. EERE Seeks Stakeholder Input on the Co-Optimization of Fuels...

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

    EERE Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines EERE Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines December 18, 2015 - 1:00pm Addthis ...

  10. V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site...

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

    CVE-2013-0591 CVE-2013-0595 IMPACT ASSESSMENT: Medium DISCUSSION: The software does not properly filter HTML code from user-supplied input before displaying the input. ...

  11. ALEGRA: User Input and Physics Descriptions Version 4.2 (Technical...

    Office of Scientific and Technical Information (OSTI)

    ALEGRA: User Input and Physics Descriptions Version 4.2 Citation Details In-Document Search Title: ALEGRA: User Input and Physics Descriptions Version 4.2 ALEGRA is an arbitrary ...

  12. ALEGRA: User Input and Physics Descriptions Version 4.2 (Technical...

    Office of Scientific and Technical Information (OSTI)

    ALEGRA: User Input and Physics Descriptions Version 4.2 Citation Details In-Document Search Title: ALEGRA: User Input and Physics Descriptions Version 4.2 You are accessing a ...

  13. U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    The VPN management interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser.

  14. V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis...

  15. T-602: BlackBerry Enterprise Server Input Validation Flaw in...

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

    02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation...

  16. V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis...

  17. Geological input to reservoir simulation, Champion Field, offshore Brunei

    SciTech Connect (OSTI)

    Carter, R.; Salahudin, S.; Ho, T.C.

    1994-07-01

    Brunei Shell Petroleum's giant Champion field is in a mature stage of development with about 23 yr of production history to date. The field comprises a complex sequence of Miocene shallow marine and deltaic layered clastic reservoirs cut by numerous growth faults. This study was aimed at providing a quantified estimate of the effect of lateral and vertical discontinuities within the I and J reservoirs on the recovery for both depletion drive and in a waterflood, with a view to identifying the optimal method of completing the development of the oil reserves in this area. Geological input to the ECLIPSE simulator was aimed at quantifying two key parameters: (1) STOIIP connected to the well bore and (2) permeability contrast. Connected STOIIP is a function of the domain size of interconnected sand bodies, and this parameter was quantified by the use of detailed sedimentology resulting in sand-body facies maps for each reservoir sublayer. Permeability contrast was quantified by using a wireline-log based algorithm, calibrated against core data, which improved the existing accuracy of permeability estimates in this part of the field. Results of simulation runs illustrate the importance of quantifying geologic heterogeneity and provide valuable information for future field development planning.

  18. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, Jr., Ronald E.; Johnson, Steve A.

    1994-01-01

    An interface module (10) for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams (36) in the form of illumination bar (54) to the lasing zone (18) of a dye laser device, in particular to a dye laser amplifier (12). The preferred interface module (10) includes an optical fiber array (30) having a plurality of optical fibers (38) arrayed in a co-planar fashion with their distal ends (44) receiving coherent laser energy from an enhancing laser source (46), and their proximal ends (4) delivered into a relay structure (3). The proximal ends (42) of the optical fibers (38) are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array (36) delivered from the optical fiber array (30) is acted upon by an optical element array (34) to produce an illumination bar (54) which has a cross section in the form of a elongated rectangle at the position of the lasing window (18). The illumination bar (54) is selected to have substantially uniform intensity throughout.

  19. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, R.E. Jr.; Johnson, S.A.

    1994-10-11

    An interface module for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams in the form of illumination bar to the lasing zone of a dye laser device, in particular to a dye laser amplifier. The preferred interface module includes an optical fiber array having a plurality of optical fibers arrayed in a co-planar fashion with their distal ends receiving coherent laser energy from an enhancing laser source, and their proximal ends delivered into a relay structure. The proximal ends of the optical fibers are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array delivered from the optical fiber array is acted upon by an optical element array to produce an illumination bar which has a cross section in the form of a elongated rectangle at the position of the lasing window. The illumination bar is selected to have substantially uniform intensity throughout. 5 figs.

  20. The SCALE Verified, Archived Library of Inputs and Data - VALID

    SciTech Connect (OSTI)

    Marshall, William BJ J; Rearden, Bradley T

    2013-01-01

    The Verified, Archived Library of Inputs and Data (VALID) at ORNL contains high quality, independently reviewed models and results that improve confidence in analysis. VALID is developed and maintained according to a procedure of the SCALE quality assurance (QA) plan. This paper reviews the origins of the procedure and its intended purpose, the philosophy of the procedure, some highlights of its implementation, and the future of the procedure and associated VALID library. The original focus of the procedure was the generation of high-quality models that could be archived at ORNL and applied to many studies. The review process associated with model generation minimized the chances of errors in these archived models. Subsequently, the scope of the library and procedure was expanded to provide high quality, reviewed sensitivity data files for deployment through the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). Sensitivity data files for approximately 400 such models are currently available. The VALID procedure and library continue fulfilling these multiple roles. The VALID procedure is based on the quality assurance principles of ISO 9001 and nuclear safety analysis. Some of these key concepts include: independent generation and review of information, generation and review by qualified individuals, use of appropriate references for design data and documentation, and retrievability of the models, results, and documentation associated with entries in the library. Some highlights of the detailed procedure are discussed to provide background on its implementation and to indicate limitations of data extracted from VALID for use by the broader community. Specifically, external users of data generated within VALID must take responsibility for ensuring that the files are used within the QA framework of their organization and that use is appropriate. The future plans for the VALID library include expansion to include additional

  1. Rail-to-rail differential input amplification stage with main and surrogate differential pairs

    DOE Patents [OSTI]

    Britton, Jr., Charles Lanier; Smith, Stephen Fulton

    2007-03-06

    An operational amplifier input stage provides a symmetrical rail-to-rail input common-mode voltage without turning off either pair of complementary differential input transistors. Secondary, or surrogate, transistor pairs assume the function of the complementary differential transistors. The circuit also maintains essentially constant transconductance, constant slew rate, and constant signal-path supply current as it provides rail-to-rail operation.

  2. Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01

    Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratorys Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

  3. DOE Seeking Input on Alternative Uses of Nickel Inventory | Department of

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

    Energy Seeking Input on Alternative Uses of Nickel Inventory DOE Seeking Input on Alternative Uses of Nickel Inventory March 9, 2007 - 10:28am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) is seeking input from industry representatives on the safe disposition of approximately 15,300 tons of nickel scrap recovered from uranium enrichment process equipment at the Department's Oak Ridge, TN, and Paducah, KY, facilities. The Expression of Interest (EOI), released today, will

  4. A Requirement for Significant Reduction in the Maximum BTU Input Rate of

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

    Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers | Department of Energy A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers Comment that a requirement to reduce the BTU input rate of existing decorative

  5. Consent-Based Siting Summary of Public Input Meeting | Department of Energy

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

    Summary of Public Input Meeting Consent-Based Siting Summary of Public Input Meeting Consent-Based Siting Summary of Public Input Meeting Meeting Summary The Department recently concluded the initial phase of public engagement on consent-based siting, which began with an Invitation for Public Comment in the Federal Register on December 23, 2015. The consent-based siting initiative received more than 10,000 comments in response to the Invitation for Public Comment in the Federal Register

  6. T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input.

  7. SRTC input to DOE-HQ R and D database for FY99

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    2000-01-05

    This is a database of the Savannah River Site input to the DOE Research and Development database. The report contains approximately 50 project abstracts.

  8. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION...

    Office of Scientific and Technical Information (OSTI)

    STEEL FRICTION STIR WELDS Citation Details In-Document Search Title: HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITICMARTENSITIC STEEL ...

  9. [Composite analysis E-area vaults and saltstone disposal facilities]. PORFLOW and FACT input files

    SciTech Connect (OSTI)

    Cook, J.R.

    1997-09-01

    This diskette contains the PORFLOW and FACT input files described in Appendix B of the accompanying report `Composite Analysis E-Area Vaults and Saltstone Disposal Facilities`.

  10. Reprocessing input tank calibration; An international experiment under the auspices of ESARDA

    SciTech Connect (OSTI)

    Weh, R. )

    1991-01-01

    Within the framework of an experiment called CALDEX (Calibration Demonstration Exercise), the volume and weight determination of the reprocessing input solution for nuclear materials reprocessing was considered. The availability of the resulting data to interested parties led to an extraordinarily fruitful international cooperation which essentially took place within the ESARDA Working Group for Reprocessing Input Verification. A short summary is given in this paper.

  11. Control Board Digital Interface Input Devices – Touchscreen, Trackpad, or Mouse?

    SciTech Connect (OSTI)

    Thomas A. Ulrich; Ronald L. Boring; Roger Lew

    2015-08-01

    The authors collaborated with a power utility to evaluate input devices for use in the human system interface (HSI) for a new digital Turbine Control System (TCS) at a nuclear power plant (NPP) undergoing a TCS upgrade. A standalone dynamic software simulation of the new digital TCS and a mobile kiosk were developed to conduct an input device study to evaluate operator preference and input device effectiveness. The TCS software presented the anticipated HSI for the TCS and mimicked (i.e., simulated) the turbine systems’ responses to operator commands. Twenty-four licensed operators from the two nuclear power units participated in the study. Three input devices were tested: a trackpad, mouse, and touchscreen. The subjective feedback from the survey indicates the operators preferred the touchscreen interface. The operators subjectively rated the touchscreen as the fastest and most comfortable input device given the range of tasks they performed during the study, but also noted a lack of accuracy for selecting small targets. The empirical data suggest the mouse input device provides the most consistent performance for screen navigation and manipulating on screen controls. The trackpad input device was both empirically and subjectively found to be the least effective and least desired input device.

  12. Summary of Input to DOE Request for Information DE-FOA-0000225 | Department

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

    of Energy FOA-0000225 Summary of Input to DOE Request for Information DE-FOA-0000225 Presentation on Sumary of Input to DOE Request for Information DE-FOA-0000225 - U.S. DOE Fuel Cells Technology Program fuelcell_pre-solicitation_wkshop_mar10_kleen.pdf (200.64 KB) More Documents & Publications Long Term Innovative Technologies Summary of Input to DOE Request for Information DE-PS36-08GO38002 (Presentation) Balance of Plant (BoP) Components Vali

  13. T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site

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

    Scripting Attacks Arbitrary Code | Department of Energy 6: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code January 31, 2011 - 7:00am Addthis PROBLEM: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code. PLATFORM: Microsoft 2003 SP2, Vista SP2, 2008 SP2, XP SP3, 7; and prior service packs ABSTRACT: A

  14. T-722: IBM WebSphere Commerce Edition Input Validation Holes Permit

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

    Cross-Site Scripting Attacks | Department of Energy 2: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks T-722: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks September 21, 2011 - 8:15am Addthis PROBLEM: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks. PLATFORM: WebSphere Commerce Edition V7.0 ABSTRACT: A remote user can access the target user's cookies (including

  15. Tribes Provide Input on 10-Year Plan for Renewable Energy in the Arctic Region

    Office of Energy Efficiency and Renewable Energy (EERE)

    The DOE Office of Indian Energy hosted a second round of tribal consultations and outreach meetings throughout Alaska in February and March to gather input on the National Strategy for the Arctic Region (NSAR).

  16. DOE Seeks Further Public Input on How Best To Streamline Existing...

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

    DOE Seeks Further Public Input on How Best To Streamline Existing Regulations December 7, 2011 - 12:34pm Addthis The Department of Energy (DOE) has announced a further step to ...

  17. Lessons Learned in Optimizing Workers' and Worker Representatives' Input to Work Planning and Control

    Energy.gov [DOE]

    Slide Presentation by Tom McQuiston, Dr. P.H., United Steelworkers - Tony Mazzocchi Center for Health, Safety and Environmental Education. Lessons Learned in Optimizing Workers’ and Worker Representatives’ Input in Work Planning and Control.

  18. U-255: Apache Wicket Input Validation Flaw Permits Cross-Site...

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

    in ajax links before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed...

  19. Microsoft PowerPoint - OTT RFI Summary of Input_Public_Oct 2015

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

    Input Request for Information DE-FOA-0001346 September 2015 Prepared for the Office of Technology Transitions and Technology Transfer Policy Board 1 Note: the views expressed in this document solely reflect the input received from the RFI respondents and do not necessarily represent DOE's perspective. 13 10 8 7 6 5 4 2 24% 18% 15% 13% 11% 9% 7% 4% 0 5 10 15 Industry National Labs Funding Contractors Academic Tech commercialization consultants Independent Research Organizations Other Number of

  20. Designing a Consent-Based Siting Process: Summary of Public Input Report |

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

    Department of Energy Designing a Consent-Based Siting Process: Summary of Public Input Report Designing a Consent-Based Siting Process: Summary of Public Input Report The Department issued an Invitation for Public Comment on December 23, 2015 and held a kickoff meeting in January 2016 requesting feedback from communities, states, Tribal Nations, and other interested stakeholders on elements to consider in the design of a consent-based siting process. From March through July, the Department

  1. Microsoft Word - SmartGrid - NRC Input to DOE Requestrvjcomments.docx

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

    Regulatory Commission Input to DOE Request for Information/RFI (Federal Register / Vol. 75, No. 180 / Friday, September 17, 2010/Pages 57006-57011 / Notices) / Smart Grid Implementation Input - NRC Contact: Kenn A. Miller, Office of Nuclear Reactor Regulation, 301-415-3152 Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," Page 57010. Nuclear Power

  2. Results of measuring input capacitance in 35-750 kV transformers and reactors

    SciTech Connect (OSTI)

    Vol'pov, K.D.; Sozinov, A.V.; Khalilov, F.Kh.

    1982-09-01

    The effect of the neutral grounding mode on input capacitance of 110-120 kV transformers was studied, inasmuch as in the system the neutral for a portion of the transformers was not grounded, with the objective of limiting nonsymmetrical short-circuit currents. Measurements showed that the input capacitance with a grounded neutral, as a rule, is greater than with an insulated neutral.

  3. USDA, Departments of Energy and Navy Seek Input from Industry to Advance

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

    Biofuels for Military and Commercial Transportation | Department of Energy Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation August 30, 2011 - 12:23pm Addthis WASHINGTON, Aug. 30, 2011 -Secretary of Agriculture Tom Vilsack, Secretary of Energy Steven Chu, and Secretary of the Navy Ray Mabus today

  4. Two-Input Enzymatic Logic Gates Made Sigmoid by Modifications of the Biocatalytic Reaction Cascades

    SciTech Connect (OSTI)

    Zavalov, Oleksandr; Bocharova, Vera; Halamek, Jan; Halamkova, Lenka; Korkmaz, Sevim; Arugula, Mary; Chinnapareddy, Soujanya; Katz, Evgeny; Privman, Vladimir

    2012-01-01

    Computing based on biochemical processes is a newest rapidly developing field of unconventional information and signal processing. In this paper we present results of our research in the field of biochemical computing and summarize the obtained numerical and experimental data for implementations of the standard two-input OR and AND gates with double-sigmoid shape of the output signal. This form of response was obtained as a function of the two inputs in each of the realized biochemical systems. The enzymatic gate processes in the first system were activated with two chemical inputs and resulted in optically detected chromogen oxidation, which happens when either one or both of the inputs are present. In this case, the biochemical system is functioning as the OR gate. We demonstrate that the addition of a filtering biocatalytic process leads to a considerable reduction of the noise transmission factor and the resulting gate response has sigmoid shape in both inputs. The second system was developed for functioning as an AND gate, where the output signal was activated only by a simultaneous action of two enzymatic biomarkers. This response can be used as an indicator of liver damage, but only if both of these of the inputs are present at their elevated, pathophysiological values of concentrations. A kinetic numerical model was developed and used to estimate the range of parameters for which the experimentally realized logic gate is close to optimal. We also analyzed the system to evaluate its noise-handling properties.

  5. T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks.

  6. Field measurement of moisture-buffering model inputs for residential buildings

    DOE PAGES-Beta [OSTI]

    Woods, Jason; Winkler, Jon

    2016-02-05

    Moisture adsorption and desorption in building materials impact indoor humidity. This effect should be included in building-energy simulations, particularly when humidity is being investigated or controlled. Several models can calculate this moisture-buffering effect, but accurate ones require model inputs that are not always known to the user of the building-energy simulation. This research developed an empirical method to extract whole-house model inputs for the effective moisture penetration depth (EMPD) model. The experimental approach was to subject the materials in the house to a square-wave relative-humidity profile, measure all of the moisture-transfer terms (e.g., infiltration, air-conditioner condensate), and calculate the onlymore » unmeasured term—the moisture sorption into the materials. We validated this method with laboratory measurements, which we used to measure the EMPD model inputs of two houses. After deriving these inputs, we measured the humidity of the same houses during tests with realistic latent and sensible loads and demonstrated the accuracy of this approach. Furthermore, these results show that the EMPD model, when given reasonable inputs, is an accurate moisture-buffering model.« less

  7. Hydromechanical transmission with two planetary assemblies that are clutchable to both the input and output shafts

    DOE Patents [OSTI]

    Orshansky, Jr., deceased, Elias; Weseloh, William E.

    1979-01-01

    A power transmission having two planetary assemblies, each having its own carrier and its own planet, sun, and ring gears. A speed-varying module is connected in driving relation to the input shaft and in driving relationship to the two sun gears, which are connected together. The speed-varying means may comprise a pair of hydraulic units hydraulically interconnected so that one serves as a pump while the other serves as a motor and vice versa, one of the units having a variable stroke and being connected in driving relation to the input shaft, the other unit, which may have a fixed stroke, being connected in driving relation to the sun gears. A brake grounds the first carrier in the first range and in reverse and causes drive to be delivered to the output shaft through the first ring gear in a hydrostatic mode, the first ring gear being rigidly connected to the output shaft. The input shaft also is clutchable to either the carrier or the ring gear of the second planetary assembly. The output shaft is also clutchable to the carrier of the second planetary assembly when the input is clutched to the ring gear of the second planetary assembly, and is clutchable to the ring gear of the second planetary assembly when the input is clutched to the carrier thereof.

  8. Input-output model for MACCS nuclear accident impacts estimation¹

    SciTech Connect (OSTI)

    Outkin, Alexander V.; Bixler, Nathan E.; Vargas, Vanessa N

    2015-01-27

    Since the original economic model for MACCS was developed, better quality economic data (as well as the tools to gather and process it) and better computational capabilities have become available. The update of the economic impacts component of the MACCS legacy model will provide improved estimates of business disruptions through the use of Input-Output based economic impact estimation. This paper presents an updated MACCS model, bases on Input-Output methodology, in which economic impacts are calculated using the Regional Economic Accounting analysis tool (REAcct) created at Sandia National Laboratories. This new GDP-based model allows quick and consistent estimation of gross domestic product (GDP) losses due to nuclear power plant accidents. This paper outlines the steps taken to combine the REAcct Input-Output-based model with the MACCS code, describes the GDP loss calculation, and discusses the parameters and modeling assumptions necessary for the estimation of long-term effects of nuclear power plant accidents.

  9. Probabilistic Density Function Method for Stochastic ODEs of Power Systems with Uncertain Power Input

    SciTech Connect (OSTI)

    Wang, Peng; Barajas-Solano, David A.; Constantinescu, Emil; Abhyankar, S.; Ghosh, Donetta L.; Smith, Barry; Huang, Zhenyu; Tartakovsky, Alexandre M.

    2015-09-22

    Wind and solar power generators are commonly described by a system of stochastic ordinary differential equations (SODEs) where random input parameters represent uncertainty in wind and solar energy. The existing methods for SODEs are mostly limited to delta-correlated random parameters (white noise). Here we use the Probability Density Function (PDF) method for deriving a closed-form deterministic partial differential equation (PDE) for the joint probability density function of the SODEs describing a power generator with time-correlated power input. The resulting PDE is solved numerically. A good agreement with Monte Carlo Simulations shows accuracy of the PDF method.

  10. BETO Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines |

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

    Department of Energy Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines BETO Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines December 17, 2015 - 9:48am Addthis The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy's (EERE) Bioenergy Technologies Office (BETO) and Vehicle Technologies Office (VTO) have released a request for information (RFI) titled "Co-Optimization of Fuels and Engines" (Optima). BETO and VTO are

  11. ,"Alabama Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sal_2a.xls"

  12. ,"Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  13. ,"Arizona Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_saz_2a.xls"

  14. ,"Arkansas Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sar_2a.xls"

  15. ,"Catalytic Reforming Downstream Processing of Fresh Feed Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    Catalytic Reforming Downstream Processing of Fresh Feed Input" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Catalytic Reforming Downstream Processing of Fresh Feed Input",16,"Monthly","8/2016","1/15/2010" ,"Release Date:","10/31/2016" ,"Next Release

  16. ,"Colorado Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sco_2a.xls"

  17. ,"Connecticut Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  18. ,"Delaware Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sde_2a.xls"

  19. ,"Georgia Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Georgia Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sga_2a.xls"

  20. ,"Hawaii Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_shi_2a.xls"

  1. ,"Illinois Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sil_2a.xls"

  2. ,"Indiana Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sin_2a.xls"

  3. ,"Iowa Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sia_2a.xls"

  4. ,"Kentucky Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sky_2a.xls"

  5. ,"Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  6. ,"Maryland Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_smd_2a.xls"

  7. ,"Massachusetts Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Massachusetts Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  8. ,"Michigan Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_smi_2a.xls"

  9. ,"Minnesota Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Minnesota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_smn_2a.xls"

  10. ,"Missouri Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_smo_2a.xls"

  11. ,"Vermont Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Vermont Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_svt_2a.xls"

  12. ,"Virginia Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sva_2a.xls"

  13. ,"Washington Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  14. ,"Wisconsin Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_swi_2a.xls"

  15. ,"Wyoming Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_swy_2a.xls"

  16. V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting

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

    Attacks | Department of Energy 9: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August 28, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in IBM Lotus iNotes PLATFORM: IBM Lotus iNotes 8.5.x ABSTRACT: IBM Lotus iNotes 8.5.x contains four cross-site scripting vulnerabilities REFERENCE LINKS: Security Tracker Alert ID 1028954 IBM Security Bulletin 1647740

  17. ,"Nebraska Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sne_2a.xls"

  18. ,"Nevada Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_snv_2a.xls"

  19. ,"New Hampshire Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  20. ,"New Jersey Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  1. ,"New Mexico Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  2. ,"New York Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sny_2a.xls"

  3. ,"North Carolina Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Carolina Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  4. ,"North Dakota Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  5. ,"Ohio Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_soh_2a.xls"

  6. ,"Oregon Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_sor_2a.xls"

  7. ,"Pennsylvania Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  8. ,"Rhode Island Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Rhode Island Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  9. ,"South Carolina Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  10. ,"South Dakota Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File

  11. ,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities"

    U.S. Energy Information Administration (EIA) (indexed site)

    Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","8/2016","1/15/1985" ,"Release Date:","10/31/2016" ,"Next Release

  12. ,"Tennessee Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_stn_2a.xls"

  13. ,"Texas Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","na1400_stx_2a.xls"

  14. ,"U.S. Natural Gas Input Supplemental Fuels (MMcf)"

    U.S. Energy Information Administration (EIA) (indexed site)

    Input Supplemental Fuels (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2015 ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","n9090us2a.xls"

  15. DOE Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations

    Energy.gov [DOE]

    A Request for Information (RFI) seeking public input for a draft Integrated, Interagency Pre-application (IIP) Process was published in the Federal Register on August 29, 2013. The Federal Register Notice is available now for downloading. Comments must be received on or before September 29, 2013. As comments are received, they will be posted online.

  16. Characteristic operator functions for quantum input-plant-output models and coherent control

    SciTech Connect (OSTI)

    Gough, John E.

    2015-01-15

    We introduce the characteristic operator as the generalization of the usual concept of a transfer function of linear input-plant-output systems to arbitrary quantum nonlinear Markovian input-output models. This is intended as a tool in the characterization of quantum feedback control systems that fits in with the general theory of networks. The definition exploits the linearity of noise differentials in both the plant Heisenberg equations of motion and the differential form of the input-output relations. Mathematically, the characteristic operator is a matrix of dimension equal to the number of outputs times the number of inputs (which must coincide), but with entries that are operators of the plant system. In this sense, the characteristic operator retains details of the effective plant dynamical structure and is an essentially quantum object. We illustrate the relevance to model reduction and simplification definition by showing that the convergence of the characteristic operator in adiabatic elimination limit models requires the same conditions and assumptions appearing in the work on limit quantum stochastic differential theorems of Bouten and Silberfarb [Commun. Math. Phys. 283, 491-505 (2008)]. This approach also shows in a natural way that the limit coefficients of the quantum stochastic differential equations in adiabatic elimination problems arise algebraically as Schur complements and amounts to a model reduction where the fast degrees of freedom are decoupled from the slow ones and eliminated.

  17. U-195: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL Injection Attacks

    Energy.gov [DOE]

    The 'public_html/lists/admin' pages do not properly validate user-supplied input in the 'sortby' parameter [CVE-2012-2740]. A remote authenticated administrative user can supply a specially crafted parameter value to execute SQL commands on the underlying database.

  18. IJS procedure for RELAP5 to TRACE input model conversion using SNAP

    SciTech Connect (OSTI)

    Prosek, A.; Berar, O. A.

    2012-07-01

    The TRAC/RELAP Advanced Computational Engine (TRACE) advanced, best-estimate reactor systems code developed by the U.S. Nuclear Regulatory Commission comes with a graphical user interface called Symbolic Nuclear Analysis Package (SNAP). Much of efforts have been done in the past to develop the RELAP5 input decks. The purpose of this study is to demonstrate the Institut 'Josef Stefan' (IJS) conversion procedure from RELAP5 to TRACE input model of BETHSY facility. The IJS conversion procedure consists of eleven steps and is based on the use of SNAP. For calculations of the selected BETHSY 6.2TC test the RELAP5/MOD3.3 Patch 4 and TRACE V5.0 Patch 1 were used. The selected BETHSY 6.2TC test was 15.24 cm equivalent diameter horizontal cold leg break in the reference pressurized water reactor without high pressure and low pressure safety injection. The application of the IJS procedure for conversion of BETHSY input model showed that it is important to perform the steps in proper sequence. The overall calculated results obtained with TRACE using the converted RELAP5 model were close to experimental data and comparable to RELAP5/MOD3.3 calculations. Therefore it can be concluded, that proposed IJS conversion procedure was successfully demonstrated on the BETHSY integral test facility input model. (authors)

  19. BETO Seeks Stakeholder Input on Achieving High Yields from Algal Feedstocks

    Energy.gov [DOE]

    The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy’s Bioenergy Technologies Office (BETO) has released a Request for Information (RFI) titled “High Yields through Productivity and Integration Research.” BETO is seeking input from industry, academia, and other stakeholders regarding supply systems and services for the cultivation, logistics, and preprocessing of algal feedstocks.

  20. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines

    Office of Energy Efficiency and Renewable Energy (EERE)

    The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy’s Bioenergy Technologies Office has released a Request for Information (RFI) seeking stakeholder input on the following topics related to the use of advanced biofuel blends in small engines

  1. Summary, Attendee Input, and Day 1 Wrap Up | Department of Energy

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

    Day 1 Wrap Up Summary, Attendee Input, and Day 1 Wrap Up Addthis Description Summary and wrap up of day 1 presentations and preview of day 2 by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety; and and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office

  2. Summary, Attendee Input, and Final Day 2 Wrap up | Department of Energy

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

    Final Day 2 Wrap up Summary, Attendee Input, and Final Day 2 Wrap up Addthis Description Summary and wrap up by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety; and and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office of day 2 presentations and discussions

  3. Using Economic Input/Output Tables to Predict a Countrys Nuclear Status

    SciTech Connect (OSTI)

    Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

    2010-07-15

    Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nations efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a countrys or regions economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industrys output to the industrial sectors while a table column shows the input required of each industrial sector by a given

  4. A non-linear dimension reduction methodology for generating data-driven stochastic input models

    SciTech Connect (OSTI)

    Ganapathysubramanian, Baskar; Zabaras, Nicholas

    2008-06-20

    Stochastic analysis of random heterogeneous media (polycrystalline materials, porous media, functionally graded materials) provides information of significance only if realistic input models of the topology and property variations are used. This paper proposes a framework to construct such input stochastic models for the topology and thermal diffusivity variations in heterogeneous media using a data-driven strategy. Given a set of microstructure realizations (input samples) generated from given statistical information about the medium topology, the framework constructs a reduced-order stochastic representation of the thermal diffusivity. This problem of constructing a low-dimensional stochastic representation of property variations is analogous to the problem of manifold learning and parametric fitting of hyper-surfaces encountered in image processing and psychology. Denote by M the set of microstructures that satisfy the given experimental statistics. A non-linear dimension reduction strategy is utilized to map M to a low-dimensional region, A. We first show that M is a compact manifold embedded in a high-dimensional input space R{sup n}. An isometric mapping F from M to a low-dimensional, compact, connected set A is contained in R{sup d}(d<input in the solution of stochastic partial differential equations that describe the evolution of dependant variables. A sparse grid collocation strategy (Smolyak algorithm) is utilized to solve these stochastic equations efficiently. We showcase the

  5. Steering and focusing effects in TESLA cavity due to high order mode and input couplers

    SciTech Connect (OSTI)

    Piot, P.; /Fermilab; Dohlus, M.; Flottmann, K.; Marx, M.; Wipf, S.G.; /DESY

    2005-05-01

    Many state-of-art electron accelerator proposals incorporate TESLA-type superconducting radio-frequency (rf) cavities [1]. These standing wave rf cavities include rf input couplers and a pair of high order mode (HOM) couplers to absorb the energy associated to HOM field excited as the bunch passes through the cavity. In the present paper we investigate, using numerical simulations, the impact of the input and HOM couplers on the beam dynamics to zeroth and first order in initial position, and present parametric studies of the strength of these effects for various incoming beam energies. We finally study the impact of this asymmetric field on the beam dynamics, taking as an example the low energy section of the X-ray FEL injector.

  6. Asymptotic-preserving methods for hyperbolic and transport equations with random inputs and diffusive scalings

    SciTech Connect (OSTI)

    Jin, Shi; Xiu, Dongbin; Zhu, Xueyu

    2015-05-15

    In this paper we develop a set of stochastic numerical schemes for hyperbolic and transport equations with diffusive scalings and subject to random inputs. The schemes are asymptotic preserving (AP), in the sense that they preserve the diffusive limits of the equations in discrete setting, without requiring excessive refinement of the discretization. Our stochastic AP schemes are extensions of the well-developed deterministic AP schemes. To handle the random inputs, we employ generalized polynomial chaos (gPC) expansion and combine it with stochastic Galerkin procedure. We apply the gPC Galerkin scheme to a set of representative hyperbolic and transport equations and establish the AP property in the stochastic setting. We then provide several numerical examples to illustrate the accuracy and effectiveness of the stochastic AP schemes.

  7. Method and apparatus for smart battery charging including a plurality of controllers each monitoring input variables

    SciTech Connect (OSTI)

    Hammerstrom, Donald J.

    2013-10-15

    A method for managing the charging and discharging of batteries wherein at least one battery is connected to a battery charger, the battery charger is connected to a power supply. A plurality of controllers in communication with one and another are provided, each of the controllers monitoring a subset of input variables. A set of charging constraints may then generated for each controller as a function of the subset of input variables. A set of objectives for each controller may also be generated. A preferred charge rate for each controller is generated as a function of either the set of objectives, the charging constraints, or both, using an algorithm that accounts for each of the preferred charge rates for each of the controllers and/or that does not violate any of the charging constraints. A current flow between the battery and the battery charger is then provided at the actual charge rate.

  8. Method for guessing the response of a physical system to an arbitrary input

    DOE Patents [OSTI]

    Wolpert, David H.

    1996-01-01

    Stacked generalization is used to minimize the generalization errors of one or more generalizers acting on a known set of input values and output values representing a physical manifestation and a transformation of that manifestation, e.g., hand-written characters to ASCII characters, spoken speech to computer command, etc. Stacked generalization acts to deduce the biases of the generalizer(s) with respect to a known learning set and then correct for those biases. This deduction proceeds by generalizing in a second space whose inputs are the guesses of the original generalizers when taught with part of the learning set and trying to guess the rest of it, and whose output is the correct guess. Stacked generalization can be used to combine multiple generalizers or to provide a correction to a guess from a single generalizer.

  9. Table A31. Total Inputs of Energy for Heat, Power, and Electricity Generation

    U.S. Energy Information Administration (EIA) (indexed site)

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)",,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," ","

  10. Table A45. Total Inputs of Energy for Heat, Power, and Electricity Generation

    U.S. Energy Information Administration (EIA) (indexed site)

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building Environment, 1991" " (Estimates in Trillion Btu)" ,,"Presence of Computer Controls" ,," for Buildings Environment",,"RSE" "Enclosed Floorspace and"," ","--------------","--------------","Row" "Percent

  11. A New Ensemble of Perturbed-Input-Parameter Simulations by the Community Atmosphere Model

    SciTech Connect (OSTI)

    Covey, C; Brandon, S; Bremer, P T; Domyancis, D; Garaizar, X; Johannesson, G; Klein, R; Klein, S A; Lucas, D D; Tannahill, J; Zhang, Y

    2011-10-27

    Uncertainty quantification (UQ) is a fundamental challenge in the numerical simulation of Earth's weather and climate, and other complex systems. It entails much more than attaching defensible error bars to predictions: in particular it includes assessing low-probability but high-consequence events. To achieve these goals with models containing a large number of uncertain input parameters, structural uncertainties, etc., raw computational power is needed. An automated, self-adapting search of the possible model configurations is also useful. Our UQ initiative at the Lawrence Livermore National Laboratory has produced the most extensive set to date of simulations from the US Community Atmosphere Model. We are examining output from about 3,000 twelve-year climate simulations generated with a specialized UQ software framework, and assessing the model's accuracy as a function of 21 to 28 uncertain input parameter values. Most of the input parameters we vary are related to the boundary layer, clouds, and other sub-grid scale processes. Our simulations prescribe surface boundary conditions (sea surface temperatures and sea ice amounts) to match recent observations. Fully searching this 21+ dimensional space is impossible, but sensitivity and ranking algorithms can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination. Bayesian statistical constraints, employing a variety of climate observations as metrics, also seem promising. Observational constraints will be important in the next step of our project, which will compute sea surface temperatures and sea ice interactively, and will study climate change due to increasing atmospheric carbon dioxide.

  12. Table A41. Total Inputs of Energy for Heat, Power, and Electricity

    U.S. Energy Information Administration (EIA) (indexed site)

    A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and

  13. Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio

    U.S. Energy Information Administration (EIA) (indexed site)

    A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and

  14. Table A55. Number of Establishments by Total Inputs of Energy for Heat, Powe

    U.S. Energy Information Administration (EIA) (indexed site)

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Cogeneration Technologies, 1994: Part 2" ,,,"Steam Turbines",,,,"Steam Turbines" ,," ","Supplied by Either","Conventional",,,"Supplied by","One or More",," " " "," ",,"Conventional","Combustion

  15. 2012 Congestion Study Webinars to Present Preliminary Findings and Receive Input from Stakeholders

    Energy.gov [DOE]

    The Department of Energy will host three webinars in August 2012 to present the preliminary findings of the 2012 National Electric Transmission Congestion Study and to receive input and suggestions from state officials, industry representatives, and other stakeholders. Two of the webinars will be designed to discuss with state officials the initial findings of the DOE 2012 congestion analysis. The third webinar will be for industry representatives and other interested parties, although stakeholders may dial into any of the three meetings.

  16. Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes

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

    Chuansheng Mei Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Institute for Sustainable and Renewable Resources Institute for Advanced Learning and Research Danville, VA The Institute for Advanced Learning and Research is a state-supported, Virginia Tech- affiliated research and education center focused on the development and use of technology and education to enhance the development of the economically- depressed

  17. Effects of switchgrass cultivars and intraspecific differences in root structure on soil carbon inputs and accumulation

    SciTech Connect (OSTI)

    Adkins, Jaron; Jastrow, Julie D.; Morris, Geoffrey P.; Six, Johan; de Graaff, Marie-Anne

    2016-01-01

    Switchgrass (Panicum virgatum L), a cellulosic biofuel feedstock, may promote soil C 21 accumulation compared to annual cropping systems by increasing the amount and retention of 22 root-derived soil C inputs. The aim of this study was to assess how different switchgrass 23 cultivars impact soil C inputs and retention, whether these impacts vary with depth, and whether 24 specific root length (SRL) explains these impacts. We collected soil to a depth of 30 cm from six 25 switchgrass cultivars with root systems ranging from high to low SRL. The cultivars (C4 species) 26 were grown for 27 months on soils previously dominated by C3 plants, allowing us to use the 27 natural difference in 13C isotopic signatures between C3 soils and C4 plants to quantify 28 switchgrass-derived C accumulation. The soil was fractionated into coarse particulate organic 29 matter (CPOM), fine particulate organic matter (FPOM), silt, and clay-sized fractions. We 30 measured total C and plant-derived C in all soil fractions across all depths. The study led to two main results: (1) bulk soil C concentrations beneath switchgrass cultivars varied by 40% in the 0-32 10 cm soil depth and by 70% in the 10-20 cm soil depth, and cultivars with high bulk soil C 33 concentrations tended to have relatively high C concentrations in the mineral soil fractions and 34 relatively low C concentrations in the POM fractions; (2) there were significant differences in 35 switchgrass-derived soil C between cultivars at the 0-10 cm depth, where soil C inputs ranged 36 from 1.2 to 3.2 mg C g-1 dry soil. There was also evidence of a positive correlation between SRL 37 and switchgrass-derived C inputs when one outlier data point was removed. These results 38 indicate that switchgrass cultivars differentially impact mechanisms contributing to soil C accumulation.

  18. Input/Output of ab-initio nuclear structure calculations for improved performance and portability

    SciTech Connect (OSTI)

    Laghave, Nikhil

    2010-01-01

    Many modern scientific applications rely on highly computation intensive calculations. However, most applications do not concentrate as much on the role that input/output operations can play for improved performance and portability. Parallelizing input/output operations of large files can significantly improve the performance of parallel applications where sequential I/O is a bottleneck. A proper choice of I/O library also offers a scope for making input/output operations portable across different architectures. Thus, use of parallel I/O libraries for organizing I/O of large data files offers great scope in improving performance and portability of applications. In particular, sequential I/O has been identified as a bottleneck for the highly scalable MFDn (Many Fermion Dynamics for nuclear structure) code performing ab-initio nuclear structure calculations. We develop interfaces and parallel I/O procedures to use a well-known parallel I/O library in MFDn. As a result, we gain efficient I/O of large datasets along with their portability and ease of use in the down-stream processing. Even situations where the amount of data to be written is not huge, proper use of input/output operations can boost the performance of scientific applications. Application checkpointing offers enormous performance improvement and flexibility by doing a negligible amount of I/O to disk. Checkpointing saves and resumes application state in such a manner that in most cases the application is unaware that there has been an interruption to its execution. This helps in saving large amount of work that has been previously done and continue application execution. This small amount of I/O provides substantial time saving by offering restart/resume capability to applications. The need for checkpointing in optimization code NEWUOA has been identified and checkpoint/restart capability has been implemented in NEWUOA by using simple file I/O.

  19. Fe CASL-U-2014-0014-002 VERA Common Input User Manual Scott Palmtag

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

    CASL-U-2014-0014-002 i Consortium for Advanced Simulation of LWRs Fe CASL-U-2014-0014-002 VERA Common Input User Manual Scott Palmtag Andrew Godfrey February 23, 2015 CASL-U-2014-0014-002 ii Consortium for Advanced Simulation of LWRs Oak Ridge National Laboratory in partnership with Electric Power Research Institute Idaho National Laboratory Los Alamos National Laboratory Massachusetts Institute of Technology North Carolina State University Sandia National Laboratories Tennessee Valley Authority

  20. SPP Staff appreciates the opportunity to provide input regarding the Draft Conge

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

    SPP Staff appreciates the opportunity to provide input regarding the Draft Congestion Study. The following remarks have not been vetted with SPP members, and do not represent any approved official remarks on behalf of SPP's members. Given the long lead times to get EHV transmission approved and constructed, DOE Congestion Studies need to look beyond 3-5 year horizons. DOE assessments regarding congestion need to go beyond reporting historical data and summarizing regional studies to reflect

  1. High-Frequency Matrix Converter with Square Wave Input - Energy Innovation

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

    Portal Solar Photovoltaic Solar Photovoltaic Geothermal Geothermal Energy Storage Energy Storage Electricity Transmission Electricity Transmission Find More Like This Return to Search High-Frequency Matrix Converter with Square Wave Input DOE Grant Recipients Contact GRANT About This Technology Publications: PDF Document Publication 8995159.pdf (1,648 KB) Technology Marketing Summary As the use of renewable energy sources increase, there is an increasing need for power converters capable of

  2. Significance of microbial asynchronous anabolism to soil carbon dynamics driven by litter inputs

    DOE PAGES-Beta [OSTI]

    Fan, Zhaosheng; Liang, Chao

    2015-04-02

    Soil organic carbon (SOC) plays an important role in the global carbon cycle. However, it remains largely unknown how plant litter inputs impact magnitude, composition and source configuration of the SOC stocks over long term through microbial catabolism and anabolism, mostly due to uncoupled research on litter decomposition and SOC formation. This limits our ability to predict soil system responses to changes in land-use and climate. Here, we examine how microbes act as a valve controlling carbon sequestrated from plant litters versus released to the atmosphere in natural ecosystems amended with plant litters varying in quantity and quality. We findmore » that litter quality – not quantity – regulates long-term SOC dynamics under different plausible scenarios. Long-term changes in bulk SOC stock occur only when the quality of carbon inputs causes asynchronous change in a microbial physiological trait, defined as ‘‘microbial biosynthesis acceleration’’ (MBA). This is the first theoretical demonstration that the response of the SOC stocks to litter inputs is critically determined by the microbial physiology. Our work suggests that total SOC at an equilibrium state may be an intrinsic property of a given ecosystem, which ultimately is controlled by the asynchronous MBA between microbial functional groups.« less

  3. Significance of microbial asynchronous anabolism to soil carbon dynamics driven by litter inputs

    SciTech Connect (OSTI)

    Fan, Zhaosheng; Liang, Chao

    2015-04-02

    Soil organic carbon (SOC) plays an important role in the global carbon cycle. However, it remains largely unknown how plant litter inputs impact magnitude, composition and source configuration of the SOC stocks over long term through microbial catabolism and anabolism, mostly due to uncoupled research on litter decomposition and SOC formation. This limits our ability to predict soil system responses to changes in land-use and climate. Here, we examine how microbes act as a valve controlling carbon sequestrated from plant litters versus released to the atmosphere in natural ecosystems amended with plant litters varying in quantity and quality. We find that litter quality – not quantity – regulates long-term SOC dynamics under different plausible scenarios. Long-term changes in bulk SOC stock occur only when the quality of carbon inputs causes asynchronous change in a microbial physiological trait, defined as ‘‘microbial biosynthesis acceleration’’ (MBA). This is the first theoretical demonstration that the response of the SOC stocks to litter inputs is critically determined by the microbial physiology. Our work suggests that total SOC at an equilibrium state may be an intrinsic property of a given ecosystem, which ultimately is controlled by the asynchronous MBA between microbial functional groups.

  4. Combined Effects of Gravity, Bending Moment, Bearing Clearance, and Input Torque on Wind Turbine Planetary Gear Load Sharing: Preprint

    SciTech Connect (OSTI)

    Guo, Y.; Keller, J.; LaCava, W.

    2012-09-01

    This computational work investigates planetary gear load sharing of three-mount suspension wind turbine gearboxes. A three dimensional multibody dynamic model is established, including gravity, bending moments, fluctuating mesh stiffness, nonlinear tooth contact, and bearing clearance. A flexible main shaft, planetary carrier, housing, and gear shafts are modeled using reduced degrees-of-freedom through modal compensation. This drivetrain model is validated against the experimental data of Gearbox Reliability Collaborative for gearbox internal loads. Planet load sharing is a combined effect of gravity, bending moment, bearing clearance, and input torque. Influences of each of these parameters and their combined effects on the resulting planet load sharing are investigated. Bending moments and gravity induce fundamental excitations in the rotating carrier frame, which can increase gearbox internal loads and disturb load sharing. Clearance in carrier bearings reduces the bearing load carrying capacity and thus the bending moment from the rotor can be transmitted into gear meshes. With bearing clearance, the bending moment can cause tooth micropitting and can induce planet bearing fatigue, leading to reduced gearbox life. Planet bearings are susceptible to skidding at low input torque.

  5. Methods to Register Models and Input/Output Parameters for Integrated Modeling

    SciTech Connect (OSTI)

    Droppo, James G.; Whelan, Gene; Tryby, Michael E.; Pelton, Mitchell A.; Taira, Randal Y.; Dorow, Kevin E.

    2010-07-10

    Significant resources can be required when constructing integrated modeling systems. In a typical application, components (e.g., models and databases) created by different developers are assimilated, requiring the framework’s functionality to bridge the gap between the user’s knowledge of the components being linked. The framework, therefore, needs the capability to assimilate a wide range of model-specific input/output requirements as well as their associated assumptions and constraints. The process of assimilating such disparate components into an integrated modeling framework varies in complexity and difficulty. Several factors influence the relative ease of assimilating components, including, but not limited to, familiarity with the components being assimilated, familiarity with the framework and its tools that support the assimilation process, level of documentation associated with the components and the framework, and design structure of the components and framework. This initial effort reviews different approaches for assimilating models and their model-specific input/output requirements: 1) modifying component models to directly communicate with the framework (i.e., through an Application Programming Interface), 2) developing model-specific external wrappers such that no component model modifications are required, 3) using parsing tools to visually map pre-existing input/output files, and 4) describing and linking models as dynamic link libraries. Most of these approaches are illustrated using the widely distributed modeling system called Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES). The review concludes that each has its strengths and weakness, the factors that determine which approaches work best in a given application.

  6. Table A15. Total Inputs of Energy for Heat, Power, and Electricity Generation

    U.S. Energy Information Administration (EIA) (indexed site)

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry

  7. Table A34. Total Inputs of Energy for Heat, Power, and Electricity Generation

    U.S. Energy Information Administration (EIA) (indexed site)

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Employment Size Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)" ,,,,,"Employment Size" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," ",,"1,000","Row"

  8. Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generatio

    U.S. Energy Information Administration (EIA) (indexed site)

    0. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in Trillion Btu)" ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding",,"RSE" "SIC",,,"Net","Residual","and Diesel",,,"Coal Coke",,"Row" "Code(a)","End-Use

  9. Table A54. Number of Establishments by Total Inputs of Energy for Heat, Powe

    U.S. Energy Information Administration (EIA) (indexed site)

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of General Technologies, 1994: Part 2" ,," "," ",," "," ",," "," "," "," " ,,,,"Computer Control" ,," "," ","of Processes"," "," ",," "," ",," "

  10. Level density inputs in nuclear reaction codes and the role of the spin cutoff parameter

    DOE PAGES-Beta [OSTI]

    Voinov, A. V.; Grimes, S. M.; Brune, C. R.; Burger, A.; Gorgen, A.; Guttormsen, M.; Larsen, A. C.; Massey, T. N.; Siem, S.

    2014-09-03

    Here, the proton spectrum from the 57Fe(α,p) reaction has been measured and analyzed with the Hauser-Feshbach model of nuclear reactions. Different input level density models have been tested. It was found that the best description is achieved with either Fermi-gas or constant temperature model functions obtained by fitting them to neutron resonance spacing and to discrete levels and using the spin cutoff parameter with much weaker excitation energy dependence than it is predicted by the Fermi-gas model.

  11. RELAP5/MOD3 code manual: User`s guide and input requirements. Volume 2

    SciTech Connect (OSTI)

    1995-08-01

    The RELAP5 code has been developed for best estimate transient simulation of light water reactor coolant systems during postulated accidents. The code models the coupled behavior of the reactor coolant system and the core for loss-of-coolant accidents, and operational transients, such as anticipated transient without scram, loss of offsite power, loss of feedwater, and loss of flow. A generic modeling approach is used that permits simulating a variety of thermal hydraulic systems. Control system and secondary system components are included to permit modeling of plant controls, turbines, condensers, and secondary feedwater systems. Volume II contains detailed instructions for code application and input data preparation.

  12. Multi-input and binary reproducible, high bandwidth floating point adder in a collective network

    DOE Patents [OSTI]

    Chen, Dong; Eisley, Noel A; Heidelberger, Philip; Steinmacher-Burow, Burkhard

    2015-03-10

    To add floating point numbers in a parallel computing system, a collective logic device receives the floating point numbers from computing nodes. The collective logic devices converts the floating point numbers to integer numbers. The collective logic device adds the integer numbers and generating a summation of the integer numbers. The collective logic device converts the summation to a floating point number. The collective logic device performs the receiving, the converting the floating point numbers, the adding, the generating and the converting the summation in one pass. One pass indicates that the computing nodes send inputs only once to the collective logic device and receive outputs only once from the collective logic device.

  13. Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input

    Office of Environmental Management (EM)

    :14 Report number: 2013:14 ISSN: 2000-0456 Available at www.stralsakerhetsmyndigheten.se Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries Evaluation for Regulatory Input Robert A. Meck Author: SSM perspektiv SSM har nyligen beslutat om föreskrifter om friklassning av material, loka- ler, byggnader och mark vid verksamhet med joniserande strålning (SSMFS 201 1:2). Föreskrifterna innehåller bland annat krav på att tillståndshavare, vid avveckling av

  14. Summary of Input to DOE Request for Information DE-PS36-08GO38002

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

    (Presentation) | Department of Energy PS36-08GO38002 (Presentation) Summary of Input to DOE Request for Information DE-PS36-08GO38002 (Presentation) Presented at the DOE Fuel Cell Pre-Solicitation Workshop held January 23-24, 2008 in Golden, Colorado. fuelcell_pre-solicitation_wkshop_jan08_peterson.pdf (151.39 KB) More Documents & Publications Greenpower Trap Mufflerl System Heating Ventilation and Air Conditioning Efficiency BILIWG: Consistent "Figures of Merit" (Presentation)

  15. Summary of Input to DOE Request for Information DE-FOA-0000225

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

    & Renewable Energy Summary of Input to DOE Request for Information DE FOA 0000225 DE-FOA-0000225 Greg Kleen Greg Kleen Golden Golden Field Field O Office ffice Golden Golden Field Field Office Office US DOE Fuel Cells T US DOE Fuel Cells Technology echnology Program Program Lakewood, Colorado Lakewood, Colorado March 16, 2010 March 16, 2010 83 ses o 6 o a at o s RFI Summary Release Date: 12/29/2009 Release Date: 12/29/2009 Closing Date: 1/29/2010 Purpose: Obtain Feedback from the Fuel Cell

  16. Procedure for developing biological input for the design, location, or modification of water-intake structures

    SciTech Connect (OSTI)

    Neitzel, D.A.; McKenzie, D.H.

    1981-12-01

    To minimize adverse impact on aquatic ecosystems resulting from the operation of water intake structures, design engineers must have relevant information on the behavior, physiology and ecology of local fish and shellfish. Identification of stimulus/response relationships and the environmental factors that influence them is the first step in incorporating biological information in the design, location or modification of water intake structures. A procedure is presented in this document for providing biological input to engineers who are designing, locating or modifying a water intake structure. The authors discuss sources of stimuli at water intakes, historical approaches in assessing potential/actual impact and review biological information needed for intake design.

  17. How citizen advisory boards provide input into major waste policy decisions

    SciTech Connect (OSTI)

    Rogers, E.; Murakami, L.; Hanson, L.

    1995-12-31

    Volunteer citizen boards, such as Site Specific Advisory Boards, can be a very important key to success for the Department of Energy`s (DOE`s) Waste Management program. These boards can provide informed, independent recommendations reflecting the diversity of the community and its values. A successful volunteer process requires collaboration among regulators, DOE and other Boards; knowing how and when to interface with the broader public; understanding the diversity and representational issues of a citizens group; knowing the {open_quotes}ins and outs{close_quotes} of working with volunteers; education and training and most importantly, planning. Volunteers on a citizens board were created to tackle the big picture, policy decisions. The chair of the Rocky Flats Citizens Advisory Board will describe her Board`s successes, including the challenges in reaching consensus agreements, as well as the need for integration with other boards and the sites` on-going public involvement programs to provide the input the department is seeking. Finally, one of the greatest challenges for the boards is interfacing with the greater public-at-large, seeing how the CAB has overcome this challenge and integrating broader public input into its decisions.

  18. Input-independent, Scalable and Fast String Matching on the Cray XMT

    SciTech Connect (OSTI)

    Villa, Oreste; Chavarra-Miranda, Daniel; Maschhoff, Kristyn J.

    2009-05-25

    String searching is at the core of many security and network applications like search engines, intrusion detection systems, virus scanners and spam ?lters. The growing size of on-line content and the increasing wire speeds push the need for fast, and often real- time, string searching solutions. For these conditions, many software implementations (if not all) targeting conventional cache-based microprocessors do not perform well. They either exhibit overall low performance or exhibit highly variable performance depending on the types of inputs. For this reason, real-time state of the art solutions rely on the use of either custom hardware or Field-Programmable Gate Arrays (FPGAs) at the expense of overall system ?exibility and programmability. This paper presents a software based implementation of the Aho-Corasick string searching algorithm on the Cray XMT multithreaded shared memory machine. Our so- lution relies on the particular features of the XMT architecture and on several algorith- mic strategies: it is fast, scalable and its performance is virtually content-independent. On a 128-processor Cray XMT, it reaches a scanning speed of ? 28 Gbps with a performance variability below 10 %. In the 10 Gbps performance range, variability is below 2.5%. By comparison, an Intel dual-socket, 8-core system running at 2.66 GHz achieves a peak performance which varies from 500 Mbps to 10 Gbps depending on the type of input and dictionary size.

  19. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS

    SciTech Connect (OSTI)

    Tang, Wei; Chen, Gaoqiang; Chen, Jian; Yu, Xinghua; Frederick, David Alan; Feng, Zhili

    2015-01-01

    Reduced-activation ferritic/martensitic (RAFM) steels are an important class of structural materials for fusion reactor internals developed in recent years because of their improved irradiation resistance. However, they can suffer from welding induced property degradations. In this paper, a solid phase joining technology friction stir welding (FSW) was adopted to join a RAFM steel Eurofer 97 and different FSW parameters/heat input were chosen to produce welds. FSW response parameters, joint microstructures and microhardness were investigated to reveal relationships among welding heat input, weld structure characterization and mechanical properties. In general, FSW heat input results in high hardness inside the stir zone mostly due to a martensitic transformation. It is possible to produce friction stir welds similar to but not with exactly the same base metal hardness when using low power input because of other hardening mechanisms. Further, post weld heat treatment (PWHT) is a very effective way to reduce FSW stir zone hardness values.

  20. EO 13690: Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input (2015)

    Office of Energy Efficiency and Renewable Energy (EERE)

    Executive Order (E.O.) 13690, Establishing a Federal Flood Risk Management Standard [FFRMS] and a Process for Further Soliciting and Considering Stakeholder Input (2015) amends E.O. 11988,...

  1. Computer code input for thermal hydraulic analysis of Multi-Function Waste Tank Facility Title II design

    SciTech Connect (OSTI)

    Cramer, E.R.

    1994-10-01

    The input files to the P/Thermal computer code are documented for the thermal hydraulic analysis of the Multi-Function Waste Tank Facility Title II design analysis.

  2. EO 13690 (2015): Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input

    Energy.gov [DOE]

    Executive Order (E.O.) 13690, Establishing a Federal Flood Risk Management Standard [FFRMS] and a Process for Further Soliciting and Considering Stakeholder Input (2015) amends E.O. 11988,...

  3. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, A.L.; Crist, C.E.

    1995-09-26

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages. 1 fig.

  4. Dopaminergic inputs in the dentate gyrus direct the choice of memory encoding

    DOE PAGES-Beta [OSTI]

    Du, Huiyun; Deng, Wei; Aimone, James B.; Ge, Minyan; Parylak, Sarah; Walch, Keenan; Zhang, Wei; Cook, Jonathan; Song, Huina; Wang, Liping; et al

    2016-09-13

    Rewarding experiences are often well remembered, and such memory formation is known to be dependent on dopamine modulation of the neural substrates engaged in learning and memory; however, it is unknown how and where in the brain dopamine signals bias episodic memory toward preceding rather than subsequent events. Here we found that photostimulation of channelrhodopsin-2–expressing dopaminergic fibers in the dentate gyrus induced a long-term depression of cortical inputs, diminished theta oscillations, and impaired subsequent contextual learning. Computational modeling based on this dopamine modulation indicated an asymmetric association of events occurring before and after reward in memory tasks. In subsequent behavioralmore » experiments, preexposure to a natural reward suppressed hippocampus-dependent memory formation, with an effective time window consistent with the duration of dopamine-induced changes of dentate activity. Altogether, our results suggest a mechanism by which dopamine enables the hippocampus to encode memory with reduced interference from subsequent experience.« less

  5. User manual for IOSYM: an input-oriented simulation language for continuous systems

    SciTech Connect (OSTI)

    Polito, J.

    1981-03-01

    IOSYM is an extension of the GASP IV simulation language. It permits systems which are sequences of continuous processes to be modeled graphically. Normally the system can be described by data input only. The language permits stochastic sequencing and termination criteria for processes and allows crossing conditions for ending operations that are more general than GASP IV. Extensive capability exists for conditional branching and logical modification of the network. IOSYM has been used to model the cost of geothermal drilling where the various costly processes of drilling are represented by IOSYM operations. The language is much more general, however, since it retains most of GASP IV's discrete event capabilities and permits easy modeling of continuous processes.

  6. Time dependence in atmospheric carbon inputs from drainage of organic soils

    SciTech Connect (OSTI)

    Rojstaczer, S.; Deverel, S.J. )

    1993-07-09

    The authors report the results of a study in the San Joaquin-Sacramento Delta of CO[sub 2] emission from drained soils relative to the rate of subsidence of the land. Their interest is in quantifying the rate carbon is freed from soils which are being drained, primarily for agricultural purposes, relative to the observed subsidence rates. This information is one of the inputs in the global carbon cycle. It is argued that most subsidence is the result of carbon oxidation. The fact that subsidence rates correlate with carbon dioxide emission rates supports this argument. In this Delta, subsidence rates have been decreasing in recent years, and measurements indicate that present carbon dioxide emission rates are lower than previous estimates by a factor or 3 or 4.

  7. Contaminant transport in unconfined aquifer, input to low-level tank waste interim performance assessment

    SciTech Connect (OSTI)

    Lu, A.H., Westinghouse Hanford

    1996-08-14

    This report describes briefly the Hanford sitewide groundwater model and its application to the Low-Level Tank Waste Disposal (LLTWD) interim Performance Assessment (PA). The Well Intercept Factor (WIF) or dilution factor from a given areal flux entering the aquifer released from the LLTWD site are calculated for base case and various sensitivity cases. In conjunction with the calculation for released fluxes through vadose zone transport,the dose at the compliance point can be obtained by a simple multiplication. The relative dose contribution from the upstream sources was also calculated and presented in the appendix for an equal areal flux at the LLTWD site. The results provide input for management decisions on remediation action needed for reduction of the released fluxes from the upstream facilities to the allowed level to meet the required dose criteria.

  8. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, Alan L. (Lee's Summit, MO); Crist, Charles E. (Waxahachie, TX)

    1995-09-26

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages.

  9. Visualizations, Screen Shots, and Data Input Files from VisIT

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    VisIt is a free interactive parallel visualization and graphical analysis tool for viewing scientific data on Unix and PC platforms. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes. VisIt was designed to handle very large data set sizes in the terascale range and yet can also handle small data sets in the kilobyte range. The VisIT website provides a gallery of vizualizations, another set of screen shots, and allows downloads of data files for input and source codes and executables for the VisIT software suite.

  10. Using Whole-House Field Tests to Empirically Derive Moisture Buffering Model Inputs

    SciTech Connect (OSTI)

    Woods, J.; Winkler, J.; Christensen, D.; Hancock, E.

    2014-08-01

    Building energy simulations can be used to predict a building's interior conditions, along with the energy use associated with keeping these conditions comfortable. These models simulate the loads on the building (e.g., internal gains, envelope heat transfer), determine the operation of the space conditioning equipment, and then calculate the building's temperature and humidity throughout the year. The indoor temperature and humidity are affected not only by the loads and the space conditioning equipment, but also by the capacitance of the building materials, which buffer changes in temperature and humidity. This research developed an empirical method to extract whole-house model inputs for use with a more accurate moisture capacitance model (the effective moisture penetration depth model). The experimental approach was to subject the materials in the house to a square-wave relative humidity profile, measure all of the moisture transfer terms (e.g., infiltration, air conditioner condensate) and calculate the only unmeasured term: the moisture absorption into the materials. After validating the method with laboratory measurements, we performed the tests in a field house. A least-squares fit of an analytical solution to the measured moisture absorption curves was used to determine the three independent model parameters representing the moisture buffering potential of this house and its furnishings. Follow on tests with realistic latent and sensible loads showed good agreement with the derived parameters, especially compared to the commonly-used effective capacitance approach. These results show that the EMPD model, once the inputs are known, is an accurate moisture buffering model.

  11. Transient pool boiling heat transfer due to increasing heat inputs in subcooled water at high pressures

    SciTech Connect (OSTI)

    Fukuda, K.; Shiotsu, M.; Sakurai, A.

    1995-09-01

    Understanding of transient boiling phenomenon caused by increasing heat inputs in subcooled water at high pressures is necessary to predict correctly a severe accident due to a power burst in a water-cooled nuclear reactor. Transient maximum heat fluxes, q{sub max}, on a 1.2 mm diameter horizontal cylinder in a pool of saturated and subcooled water for exponential heat inputs, q{sub o}e{sup t/T}, with periods, {tau}, ranging from about 2 ms to 20 s at pressures from atmospheric up to 2063 kPa for water subcoolings from 0 to about 80 K were measured to obtain the extended data base to investigate the effect of high subcoolings on steady-state and transient maximum heat fluxes, q{sub max}. Two main mechanisms of q{sub max} exist depending on the exponential periods at low subcoolings. One is due to the time lag of the hydrodynamic instability which starts at steady-state maximum heat flux on fully developed nucleate boiling (FDNB), and the other is due to the heterogenous spontaneous nucleations (HSN) in flooded cavities which coexist with vapor bubbles growing up from active cavities. The shortest period corresponding to the maximum q{sub max} for long period range belonging to the former mechanism becomes longer and the q{sub max}mechanism for long period range shifts to that due the HSN on FDNB with the increase of subcooling and pressure. The longest period corresponding to the minimum q{sub max} for the short period range belonging to the latter mechanism becomes shorter with the increase in saturated pressure. On the contrary, the longest period becomes longer with the increase in subcooling at high pressures. Correlations for steady-state and transient maximum heat fluxes were presented for a wide range of pressure and subcooling.

  12. An approach for coupled-code multiphysics core simulations from a common input

    DOE PAGES-Beta [OSTI]

    Schmidt, Rodney; Belcourt, Kenneth; Hooper, Russell; Pawlowski, Roger P.; Clarno, Kevin T.; Simunovic, Srdjan; Slattery, Stuart R.; Turner, John A.; Palmtag, Scott

    2014-12-10

    This study describes an approach for coupled-code multiphysics reactor core simulations that is being developed by the Virtual Environment for Reactor Applications (VERA) project in the Consortium for Advanced Simulation of Light-Water Reactors (CASL). In this approach a user creates a single problem description, called the “VERAIn” common input file, to define and setup the desired coupled-code reactor core simulation. A preprocessing step accepts the VERAIn file and generates a set of fully consistent input files for the different physics codes being coupled. The problem is then solved using a single-executable coupled-code simulation tool applicable to the problem, which ismore » built using VERA infrastructure software tools and the set of physics codes required for the problem of interest. The approach is demonstrated by performing an eigenvalue and power distribution calculation of a typical three-dimensional 17 × 17 assembly with thermal–hydraulic and fuel temperature feedback. All neutronics aspects of the problem (cross-section calculation, neutron transport, power release) are solved using the Insilico code suite and are fully coupled to a thermal–hydraulic analysis calculated by the Cobra-TF (CTF) code. The single-executable coupled-code (Insilico-CTF) simulation tool is created using several VERA tools, including LIME (Lightweight Integrating Multiphysics Environment for coupling codes), DTK (Data Transfer Kit), Trilinos, and TriBITS. Parallel calculations are performed on the Titan supercomputer at Oak Ridge National Laboratory using 1156 cores, and a synopsis of the solution results and code performance is presented. Finally, ongoing development of this approach is also briefly described.« less

  13. An approach for coupled-code multiphysics core simulations from a common input

    SciTech Connect (OSTI)

    Schmidt, Rodney; Belcourt, Kenneth; Hooper, Russell; Pawlowski, Roger P.; Clarno, Kevin T.; Simunovic, Srdjan; Slattery, Stuart R.; Turner, John A.; Palmtag, Scott

    2014-12-10

    This study describes an approach for coupled-code multiphysics reactor core simulations that is being developed by the Virtual Environment for Reactor Applications (VERA) project in the Consortium for Advanced Simulation of Light-Water Reactors (CASL). In this approach a user creates a single problem description, called the “VERAIn” common input file, to define and setup the desired coupled-code reactor core simulation. A preprocessing step accepts the VERAIn file and generates a set of fully consistent input files for the different physics codes being coupled. The problem is then solved using a single-executable coupled-code simulation tool applicable to the problem, which is built using VERA infrastructure software tools and the set of physics codes required for the problem of interest. The approach is demonstrated by performing an eigenvalue and power distribution calculation of a typical three-dimensional 17 × 17 assembly with thermal–hydraulic and fuel temperature feedback. All neutronics aspects of the problem (cross-section calculation, neutron transport, power release) are solved using the Insilico code suite and are fully coupled to a thermal–hydraulic analysis calculated by the Cobra-TF (CTF) code. The single-executable coupled-code (Insilico-CTF) simulation tool is created using several VERA tools, including LIME (Lightweight Integrating Multiphysics Environment for coupling codes), DTK (Data Transfer Kit), Trilinos, and TriBITS. Parallel calculations are performed on the Titan supercomputer at Oak Ridge National Laboratory using 1156 cores, and a synopsis of the solution results and code performance is presented. Finally, ongoing development of this approach is also briefly described.

  14. T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks

    Energy.gov [DOE]

    Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks .

  15. Effect of heat input on the microstructure, residual stresses and corrosion resistance of 304L austenitic stainless steel weldments

    SciTech Connect (OSTI)

    Unnikrishnan, Rahul, E-mail: rahulunnikrishnannair@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Idury, K.S.N. Satish, E-mail: satishidury@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Ismail, T.P., E-mail: tpisma@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Bhadauria, Alok, E-mail: alokbhadauria1@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Shekhawat, S.K., E-mail: satishshekhawat@gmail.com [Department of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay (IITB), Powai, Mumbai 400076, Maharashtra (India); Khatirkar, Rajesh K., E-mail: rajesh.khatirkar@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Sapate, Sanjay G., E-mail: sgsapate@yahoo.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India)

    2014-07-01

    Austenitic stainless steels are widely used in high performance pressure vessels, nuclear, chemical, process and medical industry due to their very good corrosion resistance and superior mechanical properties. However, austenitic stainless steels are prone to sensitization when subjected to higher temperatures (673 K to 1173 K) during the manufacturing process (e.g. welding) and/or certain applications (e.g. pressure vessels). During sensitization, chromium in the matrix precipitates out as carbides and intermetallic compounds (sigma, chi and Laves phases) decreasing the corrosion resistance and mechanical properties. In the present investigation, 304L austenitic stainless steel was subjected to different heat inputs by shielded metal arc welding process using a standard 308L electrode. The microstructural developments were characterized by using optical microscopy and electron backscattered diffraction, while the residual stresses were measured by X-ray diffraction using the sin{sup 2}? method. It was observed that even at the highest heat input, shielded metal arc welding process does not result in significant precipitation of carbides or intermetallic phases. The ferrite content and grain size increased with increase in heat input. The grain size variation in the fusion zone/heat affected zone was not effectively captured by optical microscopy. This study shows that electron backscattered diffraction is necessary to bring out changes in the grain size quantitatively in the fusion zone/heat affected zone as it can consider twin boundaries as a part of grain in the calculation of grain size. The residual stresses were compressive in nature for the lowest heat input, while they were tensile at the highest heat input near the weld bead. The significant feature of the welded region and the base metal was the presence of a very strong texture. The texture in the heat affected zone was almost random. - Highlights: Effect of heat input on microstructure, residual

  16. Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site

    SciTech Connect (OSTI)

    Pinckard, Margaret J.; Brown, Richard E.; Mills, Evan; Lutz, James D.; Moezzi, Mithra M.; Atkinson, Celina; Bolduc, Chris; Homan, Gregory K.; Coughlin, Katie

    2005-07-13

    The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

  17. Sensitivity of injection costs to input petrophysical parameters in numerical geologic carbon sequestration models

    SciTech Connect (OSTI)

    Cheng, C. L.; Gragg, M. J.; Perfect, E.; White, Mark D.; Lemiszki, P. J.; McKay, L. D.

    2013-08-24

    Numerical simulations are widely used in feasibility studies for geologic carbon sequestration. Accurate estimates of petrophysical parameters are needed as inputs for these simulations. However, relatively few experimental values are available for CO2-brine systems. Hence, a sensitivity analysis was performed using the STOMP numerical code for supercritical CO2 injected into a model confined deep saline aquifer. The intrinsic permeability, porosity, pore compressibility, and capillary pressure-saturation/relative permeability parameters (residual liquid saturation, residual gas saturation, and van Genuchten alpha and m values) were varied independently. Their influence on CO2 injection rates and costs were determined and the parameters were ranked based on normalized coefficients of variation. The simulations resulted in differences of up to tens of millions of dollars over the life of the project (i.e., the time taken to inject 10.8 million metric tons of CO2). The two most influential parameters were the intrinsic permeability and the van Genuchten m value. Two other parameters, the residual gas saturation and the residual liquid saturation, ranked above the porosity. These results highlight the need for accurate estimates of capillary pressure-saturation/relative permeability parameters for geologic carbon sequestration simulations in addition to measurements of porosity and intrinsic permeability.

  18. Input of 129I into the western Pacific Ocean resulting from the Fukushima nuclear event

    DOE PAGES-Beta [OSTI]

    Tumey, S. J.; Guilderson, T. P.; Brown, T. A.; Broek, T.; Buesseler, K. O.

    2013-04-02

    We present an initial characterization of the input of 129I into the Pacific Ocean resulting from the 2011 Fukushima nuclear accident. This characterization is based primarily on 129I measurements on samples collected from a research cruise conducted in waters off the eastern coast of Japan in June 2011. The resulting measurements were compared with samples intended to reflect pre-Fukushima background that were collected during a May 2011 transect of the Pacific by a commercial container vessel. In surface waters, we observed peak 129I concentrations of ~300 μBq/m3 which represents an elevation of nearly three orders of magnitude compared to pre-Fukushimamore » backgrounds. The 129I results were coupled with 137Cs measurements from the same cruise and derived an average 129I/137Cs activity ratio of 0.442 × 10-6 for the effluent from Fukushima. Finally, we present 129I depth profiles from five stations from this cruise which form the basis for future studies of ocean transport and mixing process as well as estimations of the total budget of 129I released into the Pacific.« less

  19. LLNL Input to SNL L2 MS: Report on the Basis for Selection of Disposal Options

    SciTech Connect (OSTI)

    Sutton, M; Blink, J A; Halsey, W G

    2011-03-02

    This mid-year deliverable has two parts. The first part is a synopsis of J. Blink's interview of the former Nevada Attorney General, Frankie Sue Del Papa, which was done in preparation for the May 18-19, 2010 Legal and Regulatory Framework Workshop held in Albuquerque. The second part is a series of sections written as input for the SNL L2 Milestone M21UF033701, due March 31, 2011. Disposal of high-level radioactive waste is categorized in this review into several categories. Section II discusses alternatives to geologic disposal: space, ice-sheets, and an engineered mountain or mausoleum. Section III discusses alternative locations for mined geologic disposal: islands, coastlines, mid-continent, and saturated versus unsaturated zone. Section IV discusses geologic disposal alternatives other than emplacement in a mine: well injection, rock melt, sub-seabed, and deep boreholes in igneous or metamorphic basement rock. Finally, Secton V discusses alternative media for mined geologic disposal: basalt, tuff, granite and other igneous/metamorphic rock, alluvium, sandstone, carbonates and chalk, shale and clay, and salt.

  20. Development of a Novel Bi-Directional Isolated Multiple-Input DC-DC Converter

    SciTech Connect (OSTI)

    Li, H.

    2005-10-24

    There is vital need for a compact, lightweight, and efficient energy-storage system that is both affordable and has an acceptable cycle life for the large-scale production of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Most of the current research employs a battery-storage unit (BU) combined with a fuel cell (FC) stack in order to achieve the operating voltage-current point of maximum efficiency for the FC system. A system block diagram is shown in Fig.1.1. In such a conventional arrangement, the battery is sized to deliver the difference between the energy required by the traction drive and the energy supplied by the FC system. Energy requirements can increase depending on the drive cycle over which the vehicle is expected to operate. Peak-power transients result in an increase of losses and elevated temperatures which result in a decrease in the lifetime of the battery. This research will propose a novel two-input direct current (dc) dc to dc converter to interface an additional energy-storage element, an ultracapacitor (UC), which is shown in Fig.1.2. It will assist the battery during transients to reduce the peak-power requirements of the battery.

  1. Development of size reduction equations for calculating power input for grinding pine wood chips using hammer mill

    DOE PAGES-Beta [OSTI]

    Naimi, Ladan J.; Collard, Flavien; Bi, Xiaotao; Lim, C. Jim; Sokhansanj, Shahab

    2016-01-05

    Size reduction is an unavoidable operation for preparing biomass for biofuels and bioproduct conversion. Yet, there is considerable uncertainty in power input requirement and the uniformity of ground biomass. Considerable gains are possible if the required power input for a size reduction ratio is estimated accurately. In this research three well-known mechanistic equations attributed to Rittinger, Kick, and Bond available for predicting energy input for grinding pine wood chips were tested against experimental grinding data. Prior to testing, samples of pine wood chips were conditioned to 11.7% wb, moisture content. The wood chips were successively ground in a hammer millmore » using screen sizes of 25.4 mm, 10 mm, 6.4 mm, and 3.2 mm. The input power and the flow of material into the grinder were recorded continuously. The recorded power input vs. mean particle size showed that the Rittinger equation had the best fit to the experimental data. The ground particle sizes were 4 to 7 times smaller than the size of installed screen. Geometric mean size of particles were calculated using two methods (1) Tyler sieves and using particle size analysis and (2) Sauter mean diameter calculated from the ratio of volume to surface that were estimated from measured length and width. The two mean diameters agreed well, pointing to the fact that either mechanical sieving or particle imaging can be used to characterize particle size. In conclusion, specific energy input to the hammer mill increased from 1.4 kWh t–1 (5.2 J g–1) for large 25.1-mm screen to 25 kWh t–1 (90.4 J g–1) for small 3.2-mm screen.« less

  2. Input-output relations at dispersing and absorbing planar multilayers for the quantized electromagnetic field containing evanescent components

    SciTech Connect (OSTI)

    Khanbekyan, Mikayel; Knoell, Ludwig; Welsch, Dirk-Gunnar

    2003-06-01

    By using the Green-function concept of quantization of the electromagnetic field in dispersing and absorbing media, the quantized field in the presence of a dispersing and absorbing dielectric multilayer plate is studied. Three-dimensional input-output relations are derived for both amplitude operators in the k space and the field operators in the coordinate space. The conditions are discussed, under which the input-output relations can be expressed in terms of bosonic operators. The theory applies to both (effectively) free fields and fields, created by active atomic sources inside and/or outside the plate, including also evanescent-field components.

  3. US-CERT Control System Center Input/Output (I/O) Conceputal Design

    SciTech Connect (OSTI)

    Not Available

    2005-02-01

    This document was prepared for the US-CERT Control Systems Center of the National Cyber Security Division (NCSD) of the Department of Homeland Security (DHS). DHS has been tasked under the Homeland Security Act of 2002 to coordinate the overall national effort to enhance the protection of the national critical infrastructure. Homeland Security Presidential Directive HSPD-7 directs the federal departments to identify and prioritize critical infrastructure and protect it from terrorist attack. The US-CERT National Strategy for Control Systems Security was prepared by the NCSD to address the control system security component addressed in the National Strategy to Secure Cyberspace and the National Strategy for the Physical Protection of Critical Infrastructures and Key Assets. The US-CERT National Strategy for Control Systems Security identified five high-level strategic goals for improving cyber security of control systems; the I/O upgrade described in this document supports these goals. The vulnerability assessment Test Bed, located in the Information Operations Research Center (IORC) facility at Idaho National Laboratory (INL), consists of a cyber test facility integrated with multiple test beds that simulate the nation's critical infrastructure. The fundamental mission of the Test Bed is to provide industry owner/operators, system vendors, and multi-agency partners of the INL National Security Division a platform for vulnerability assessments of control systems. The Input/Output (I/O) upgrade to the Test Bed (see Work Package 3.1 of the FY-05 Annual Work Plan) will provide for the expansion of assessment capabilities within the IORC facility. It will also provide capabilities to connect test beds within the Test Range and other Laboratory resources. This will allow real time I/O data input and communication channels for full replications of control systems (Process Control Systems [PCS], Supervisory Control and Data Acquisition Systems [SCADA], and components

  4. Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model

    SciTech Connect (OSTI)

    Rogge, Nicky; De Jaeger, Simon

    2012-10-15

    Highlights: Black-Right-Pointing-Pointer Complexity in local waste management calls for more in depth efficiency analysis. Black-Right-Pointing-Pointer Shared-input Data Envelopment Analysis can provide solution. Black-Right-Pointing-Pointer Considerable room for the Flemish municipalities to improve their cost efficiency. - Abstract: This paper proposed an adjusted 'shared-input' version of the popular efficiency measurement technique Data Envelopment Analysis (DEA) that enables evaluating municipality waste collection and processing performances in settings in which one input (waste costs) is shared among treatment efforts of multiple municipal solid waste fractions. The main advantage of this version of DEA is that it not only provides an estimate of the municipalities overall cost efficiency but also estimates of the municipalities' cost efficiency in the treatment of the different fractions of municipal solid waste (MSW). To illustrate the practical usefulness of the shared input DEA-model, we apply the model to data on 293 municipalities in Flanders, Belgium, for the year 2008.

  5. Generation IV benchmarking of TRISO fuel performance models under accident conditions. Modeling input data

    SciTech Connect (OSTI)

    Blaise Collin

    2014-09-01

    This document presents the benchmark plan for the calculation of particle fuel performance on safety testing experiments that are representative of operational accidental transients. The benchmark is dedicated to the modeling of fission product release under accident conditions by fuel performance codes from around the world, and the subsequent comparison to post-irradiation experiment (PIE) data from the modeled heating tests. The accident condition benchmark is divided into three parts: the modeling of a simplified benchmark problem to assess potential numerical calculation issues at low fission product release; the modeling of the AGR-1 and HFR-EU1bis safety testing experiments; and, the comparison of the AGR-1 and HFR-EU1bis modeling results with PIE data. The simplified benchmark case, thereafter named NCC (Numerical Calculation Case), is derived from ''Case 5'' of the International Atomic Energy Agency (IAEA) Coordinated Research Program (CRP) on coated particle fuel technology [IAEA 2012]. It is included so participants can evaluate their codes at low fission product release. ''Case 5'' of the IAEA CRP-6 showed large code-to-code discrepancies in the release of fission products, which were attributed to ''effects of the numerical calculation method rather than the physical model''[IAEA 2012]. The NCC is therefore intended to check if these numerical effects subsist. The first two steps imply the involvement of the benchmark participants with a modeling effort following the guidelines and recommendations provided by this document. The third step involves the collection of the modeling results by Idaho National Laboratory (INL) and the comparison of these results with the available PIE data. The objective of this document is to provide all necessary input data to model the benchmark cases, and to give some methodology guidelines and recommendations in order to make all results suitable for comparison with each other. The participants should read this document

  6. Efficient Screening of Climate Model Sensitivity to a Large Number of Perturbed Input Parameters [plus supporting information

    DOE PAGES-Beta [OSTI]

    Covey, Curt; Lucas, Donald D.; Tannahill, John; Garaizar, Xabier; Klein, Richard

    2013-07-01

    Modern climate models contain numerous input parameters, each with a range of possible values. Since the volume of parameter space increases exponentially with the number of parameters N, it is generally impossible to directly evaluate a model throughout this space even if just 2-3 values are chosen for each parameter. Sensitivity screening algorithms, however, can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination.This can aid both model development and the uncertainty quantification (UQ) process. Here we report results from a parameter sensitivity screening algorithm hitherto untested in climate modeling,more » the Morris one-at-a-time (MOAT) method. This algorithm drastically reduces the computational cost of estimating sensitivities in a high dimensional parameter space because the sample size grows linearly rather than exponentially with N. It nevertheless samples over much of the N-dimensional volume and allows assessment of parameter interactions, unlike traditional elementary one-at-a-time (EOAT) parameter variation. We applied both EOAT and MOAT to the Community Atmosphere Model (CAM), assessing CAM’s behavior as a function of 27 uncertain input parameters related to the boundary layer, clouds, and other subgrid scale processes. For radiation balance at the top of the atmosphere, EOAT and MOAT rank most input parameters similarly, but MOAT identifies a sensitivity that EOAT underplays for two convection parameters that operate nonlinearly in the model. MOAT’s ranking of input parameters is robust to modest algorithmic variations, and it is qualitatively consistent with model development experience. Supporting information is also provided at the end of the full text of the article.« less

  7. Efficient Screening of Climate Model Sensitivity to a Large Number of Perturbed Input Parameters [plus supporting information

    SciTech Connect (OSTI)

    Covey, Curt; Lucas, Donald D.; Tannahill, John; Garaizar, Xabier; Klein, Richard

    2013-07-01

    Modern climate models contain numerous input parameters, each with a range of possible values. Since the volume of parameter space increases exponentially with the number of parameters N, it is generally impossible to directly evaluate a model throughout this space even if just 2-3 values are chosen for each parameter. Sensitivity screening algorithms, however, can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination.This can aid both model development and the uncertainty quantification (UQ) process. Here we report results from a parameter sensitivity screening algorithm hitherto untested in climate modeling, the Morris one-at-a-time (MOAT) method. This algorithm drastically reduces the computational cost of estimating sensitivities in a high dimensional parameter space because the sample size grows linearly rather than exponentially with N. It nevertheless samples over much of the N-dimensional volume and allows assessment of parameter interactions, unlike traditional elementary one-at-a-time (EOAT) parameter variation. We applied both EOAT and MOAT to the Community Atmosphere Model (CAM), assessing CAM’s behavior as a function of 27 uncertain input parameters related to the boundary layer, clouds, and other subgrid scale processes. For radiation balance at the top of the atmosphere, EOAT and MOAT rank most input parameters similarly, but MOAT identifies a sensitivity that EOAT underplays for two convection parameters that operate nonlinearly in the model. MOAT’s ranking of input parameters is robust to modest algorithmic variations, and it is qualitatively consistent with model development experience. Supporting information is also provided at the end of the full text of the article.

  8. Development of a Low Input and sustainable Switchgrass Feedstock Production System Utilizing Beneficial Bacterial Endophytes

    SciTech Connect (OSTI)

    Mei, Chuansheng; Nowak, Jerzy; Seiler, John

    2014-10-24

    Switchgrass represents a promising feedstock crop for US energy sustainability. However, its broad utilization for bioenergy requires improvements of biomass yields and stress tolerance. In this DOE funded project, we have been working on harnessing beneficial bacterial endophytes to enhance switchgrass performance and to develop a low input feedstock production system for marginal lands that do not compete with the production of food crops. We have demonstrated that one of most promising plant growth-promoting bacterial endophytes, Burkholderia phytofirmans strain PsJN, is able to colonize roots and significantly promote growth of switchgrass cv. Alamo under in vitro, growth chamber, greenhouse, as well as field conditions. Furthermore, PsJN bacterization improved growth and development of switchgrass seedlings, significantly stimulated plant root and shoot growth, and tiller number in the field, and enhanced biomass accumulation on both poor (p<0.001) and rich (p<0.05) soils, with more effective stimulation of plant growth in low fertility soil. Plant physiology measurements showed that PsJN inoculated Alamo had consistently lower transpiration, lower stomatal conductance, and higher water use efficiency in greenhouse conditions. These physiological changes may significantly contribute to the recorded growth enhancement. PsJN inoculation rapidly results in an increase in photosynthetic rates which contributes to the advanced growth and development. Some evidence suggests that this initial growth advantage decreases with time when resources are not limited such as in greenhouse studies. Additionally, better drought resistance and drought hardening were observed in PsJN inoculated switchgrass. Using the DOE-funded switchgrass EST microarray, in a collaboration with the Genomics Core Facility at the Noble Foundation, we have determined gene expression profile changes in both responsive switchgrass cv. Alamo and non-responsive cv. Cave-in-Rock (CR) following Ps

  9. Integrated Waste Treatment Unit (IWTU) Input Coal Analyses and Off-Gass Filter (OGF) Content Analyses

    SciTech Connect (OSTI)

    Jantzen, Carol M.; Missimer, David M.; Guenther, Chris P.; Shekhawat, Dushyant; VanEssendelft, Dirk T.; Means, Nicholas C.

    2015-04-23

    A full engineering scale Fluidized Bed Steam Reformer (FBSR) system is being used at the Idaho Nuclear Technology and Engineering Center (INTEC) to stabilize acidic Low Activity Waste (LAW) known as Sodium Bearing Waste (SBW). The INTEC facility, known as the Integrated Waste Treatment Unit (IWTU), underwent an Operational Readiness Review (ORR) and a Technology Readiness Assessment (TRA) in March 2014. The IWTU began non-radioactive simulant processing in late 2014 and by January, 2015 ; the IWTU had processed 62,000 gallons of simulant. The facility is currently in a planned outage for inspection of the equipment and will resume processing simulated waste feed before commencing to process 900,000 gallons of radioactive SBW. The SBW acidic waste will be made into a granular FBSR product (carbonate based) for disposal in the Waste Isolation Pilot Plant (WIPP). In the FBSR process calcined coal is used to create a CO2 fugacity to force the waste species to convert to carbonate species. The quality of the coal, which is a feed input, is important because the reactivity, moisture, and volatiles (C,H,N,O, and S) in the coal impact the reactions and control of the mineralizing process in the primary steam reforming vessel, the Denitration and Mineralizing Reformer (DMR). Too much moisture in the coal can require that additional coal be used. However since moisture in the coal is only a small fraction of the moisture from the fluidizing steam this can be self-correcting. If the coal reactivity or heating value is too low then the coal feedrate needs to be adjusted to achieve the desired heat generation. Too little coal and autothermal heat generation in the DMR cannot be sustained and/or the carbon dioxide fugacity will be too low to create the desired carbonate mineral species. Too much coal and excess S and hydroxide species can form. Excess sulfur from coal that (1) is too rich in sulfur or (2) from overfeeding coal can promote wall scale and contribute to corrosion

  10. Development code for sensitivity and uncertainty analysis of input on the MCNPX for neutronic calculation in PWR core

    SciTech Connect (OSTI)

    Hartini, Entin Andiwijayakusuma, Dinan

    2014-09-30

    This research was carried out on the development of code for uncertainty analysis is based on a statistical approach for assessing the uncertainty input parameters. In the butn-up calculation of fuel, uncertainty analysis performed for input parameters fuel density, coolant density and fuel temperature. This calculation is performed during irradiation using Monte Carlo N-Particle Transport. The Uncertainty method based on the probabilities density function. Development code is made in python script to do coupling with MCNPX for criticality and burn-up calculations. Simulation is done by modeling the geometry of PWR terrace, with MCNPX on the power 54 MW with fuel type UO2 pellets. The calculation is done by using the data library continuous energy cross-sections ENDF / B-VI. MCNPX requires nuclear data in ACE format. Development of interfaces for obtaining nuclear data in the form of ACE format of ENDF through special process NJOY calculation to temperature changes in a certain range.

  11. Facilitated Discussion Questions (in blue font) and input from meeting participants, categorized and summarized by the Facilitator (in black font)

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

    Meeting on Data/Communication Standards and Interoperability of Building Appliances, Equipment, and Systems Facilitated Discussion Questions (in blue font) and input from meeting participants, categorized and summarized by the Facilitator (in black font) Question 1: Biggest challenge to integration and alignment- For information exchange to prosper between buildings devices, systems, and outside parties, such as other buildings and electric system operators, technology must integrate easily and

  12. U.S. Department of Energy Schedules Regional Workshops to Provide Expert Input on 2009 Transmission Congestion Study

    Energy.gov [DOE]

    As part of the Bush Administration's comprehensive effort to provide wide-ranging data and thorough statistical analysis in its 2009 National Transmission Congestion Study (Congestion Study), U.S. Department of Energy (DOE) Assistant Secretary for Electricity Delivery and Energy Reliability (OE) Kevin Kolevar today announced that the Department will hold six regional technical workshops across the country, to seek input on available transmission congestion data to be considered during preparation of the Congestion Study.

  13. Update to industrial drivers in the AEO2015 as a result of new input-output data

    U.S. Energy Information Administration (EIA) (indexed site)

    Update to industrial drivers in the AEO2015 as a result of new input-output data Elizabeth Sendich May 4, 2015 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES April 2015 Elizabeth Sendich | U.S. Energy

  14. The effect of output-input isolation on the scaling and energy consumption of all-spin logic devices

    SciTech Connect (OSTI)

    Hu, Jiaxi; Haratipour, Nazila; Koester, Steven J.

    2015-05-07

    All-spin logic (ASL) is a novel approach for digital logic applications wherein spin is used as the state variable instead of charge. One of the challenges in realizing a practical ASL system is the need to ensure non-reciprocity, meaning the information flows from input to output, not vice versa. One approach described previously, is to introduce an asymmetric ground contact, and while this approach was shown to be effective, it remains unclear as to the optimal approach for achieving non-reciprocity in ASL. In this study, we quantitatively analyze techniques to achieve non-reciprocity in ASL devices, and we specifically compare the effect of using asymmetric ground position and dipole-coupled output/input isolation. For this analysis, we simulate the switching dynamics of multiple-stage logic devices with FePt and FePd perpendicular magnetic anisotropy materials using a combination of a matrix-based spin circuit model coupled to the Landau–Lifshitz–Gilbert equation. The dipole field is included in this model and can act as both a desirable means of coupling magnets and a source of noise. The dynamic energy consumption has been calculated for these schemes, as a function of input/output magnet separation, and the results show that using a scheme that electrically isolates logic stages produces superior non-reciprocity, thus allowing both improved scaling and reduced energy consumption.

  15. Tribal Leaders Provide White House with Input on Bolstering Climate Resilience

    Energy.gov [DOE]

    Tribes and Alaska Native Villages feel the brunt of a changing climate in direct and significant ways that undermine their cultures, economies, and the overall general welfare of their citizens. Unfortunately, they are too frequently left out of federal and state climate preparedness and resilience efforts, both in terms of planning and disaster response. And they generally lack sufficient governmental capacity and financial resources to prepare for and respond to major climate-related events on their own.

  16. Summary of Input to DOE Request for Information DE-PS36-08GO38002 (Presentation)

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

    Input to DOE Request for Information DE-PS36-08GO38002 David Peterson Golden Field Office Department of Energy Fuel Cell Pre-Solicitation Workshop January 23, 2008 2 Purpose * Release date: 11/20/07; Close date: 1/14/08 * Obtain feedback from the fuel cell community. * Planned Funding Opportunity Announcement for RD&D of fuel cell technologies for automotive, stationary, portable power and early market applications * Tentative Release: Spring '08 * Tentative Awards Made: FY09 3 Response

  17. Wind Levelized Cost of Energy: A Comparison of Technical and Financing Input Variables

    SciTech Connect (OSTI)

    Cory, K.; Schwabe, P.

    2009-10-01

    The expansion of wind power capacity in the United States has increased the demand for project development capital. In response, innovative approaches to financing wind projects have emerged and are proliferating in the U.S. renewable energy marketplace. Wind power developers and financiers have become more efficient and creative in structuring their financial relationships, and often tailor them to different investor types and objectives. As a result, two similar projects may use very different cash flows and financing arrangements, which can significantly vary the economic competitiveness of wind projects. This report assesses the relative impact of numerous financing, technical, and operating variables on the levelized cost of energy (LCOE) associated with a wind project under various financing structures in the U.S. marketplace. Under this analysis, the impacts of several financial and technical variables on the cost of wind electricity generation are first examined individually to better understand the relative importance of each. Then, analysts examine a low-cost and a high-cost financing scenario, where multiple variables are modified simultaneously. Lastly, the analysis also considers the impact of a suite of financial variables versus a suite of technical variables.

  18. Local Sensitivity of Predicted CO2 Injectivity and Plume Extent to Model Inputs for the FutureGen 2.0 site

    DOE PAGES-Beta [OSTI]

    Zhang, Z. Fred; White, Signe K.; Bonneville, Alain; Gilmore, Tyler J.

    2014-12-31

    Numerical simulations have been used for estimating CO2 injectivity, CO2 plume extent, pressure distribution, and Area of Review (AoR), and for the design of CO2 injection operations and monitoring network for the FutureGen project. The simulation results are affected by uncertainties associated with numerous input parameters, the conceptual model, initial and boundary conditions, and factors related to injection operations. Furthermore, the uncertainties in the simulation results also vary in space and time. The key need is to identify those uncertainties that critically impact the simulation results and quantify their impacts. We introduce an approach to determine the local sensitivity coefficientmore » (LSC), defined as the response of the output in percent, to rank the importance of model inputs on outputs. The uncertainty of an input with higher sensitivity has larger impacts on the output. The LSC is scalable by the error of an input parameter. The composite sensitivity of an output to a subset of inputs can be calculated by summing the individual LSC values. We propose a local sensitivity coefficient method and applied it to the FutureGen 2.0 Site in Morgan County, Illinois, USA, to investigate the sensitivity of input parameters and initial conditions. The conceptual model for the site consists of 31 layers, each of which has a unique set of input parameters. The sensitivity of 11 parameters for each layer and 7 inputs as initial conditions is then investigated. For CO2 injectivity and plume size, about half of the uncertainty is due to only 4 or 5 of the 348 inputs and 3/4 of the uncertainty is due to about 15 of the inputs. The initial conditions and the properties of the injection layer and its neighbour layers contribute to most of the sensitivity. Overall, the simulation outputs are very sensitive to only a small fraction of the inputs. However, the parameters that are important for controlling CO2 injectivity are not the same as those controlling

  19. Local Sensitivity of Predicted CO2 Injectivity and Plume Extent to Model Inputs for the FutureGen 2.0 site

    SciTech Connect (OSTI)

    Zhang, Z. Fred; White, Signe K.; Bonneville, Alain; Gilmore, Tyler J.

    2014-12-31

    Numerical simulations have been used for estimating CO2 injectivity, CO2 plume extent, pressure distribution, and Area of Review (AoR), and for the design of CO2 injection operations and monitoring network for the FutureGen project. The simulation results are affected by uncertainties associated with numerous input parameters, the conceptual model, initial and boundary conditions, and factors related to injection operations. Furthermore, the uncertainties in the simulation results also vary in space and time. The key need is to identify those uncertainties that critically impact the simulation results and quantify their impacts. We introduce an approach to determine the local sensitivity coefficient (LSC), defined as the response of the output in percent, to rank the importance of model inputs on outputs. The uncertainty of an input with higher sensitivity has larger impacts on the output. The LSC is scalable by the error of an input parameter. The composite sensitivity of an output to a subset of inputs can be calculated by summing the individual LSC values. We propose a local sensitivity coefficient method and applied it to the FutureGen 2.0 Site in Morgan County, Illinois, USA, to investigate the sensitivity of input parameters and initial conditions. The conceptual model for the site consists of 31 layers, each of which has a unique set of input parameters. The sensitivity of 11 parameters for each layer and 7 inputs as initial conditions is then investigated. For CO2 injectivity and plume size, about half of the uncertainty is due to only 4 or 5 of the 348 inputs and 3/4 of the uncertainty is due to about 15 of the inputs. The initial conditions and the properties of the injection layer and its neighbour layers contribute to most of the sensitivity. Overall, the simulation outputs are very sensitive to only a small fraction of the inputs. However, the parameters that are important for controlling CO2 injectivity are not the same as those controlling the plume

  20. Review of inputs provided to Jason Associates Corporation in support of RWEV-REP-001, the Analysis of Postclosure Groundwater Impacts report.

    SciTech Connect (OSTI)

    Bryan, Charles R.; Weck, Philippe F.; Vaughn, Palmer; Arnold, Bill Walter

    2014-04-01

    Report RWEV-REP-001, Analysis of Postclosure Groundwater Impacts for a Geologic Repository for the Disposal of Spent Nuclear Fuel and High Level Radioactive Waste at Yucca Mountain, Nye County, Nevada was issued by the DOE in 2009 and is currently being updated. Sandia National Laboratories (SNL) provided support for the original document, performing calculations and extracting data from the Yucca Mountain Performance Assessment Model that were used as inputs to the contaminant transport and dose calculations by Jason Associates Corporation, the primary developers of the DOE report. The inputs from SNL were documented in LSA-AR-037, Inputs to Jason Associates Corporation in Support of the Postclosure Repository Supplemental Environmental Impact Statement. To support the updating of the original Groundwater Impacts document, SNL has reviewed the inputs provided in LSA-AR-037 to verify that they are current and appropriate for use. The results of that assessment are documented here.

  1. SCDAP/RELAP5/MOD 3.1 code manual: User`s guide and input manual. Volume 3

    SciTech Connect (OSTI)

    Coryell, E.W.; Johnsen, E.C.; Allison, C.M.

    1995-06-01

    The SCDAP/RELAP5 code has been developed for best estimate transient simulation of light water reactor coolant systems during a severe accident. The code models the coupled behavior of the reactor coolant system, core, fission product released during a severe accident transient as well as large and small break loss of coolant accidents, operational transients such as anticipated transient without SCRAM, loss of offsite power, loss of feedwater, and loss of flow. A generic modeling approach is used that permits as much of a particular system to be modeled as necessary. Control system and secondary system components are included to permit modeling of plant controls, turbines, condensers, and secondary feedwater conditioning systems. This volume provides guidelines to code users based upon lessons learned during the developmental assessment process. A description of problem control and the installation process is included. Appendix a contains the description of the input requirements.

  2. RDS - A systematic approach towards system thermal hydraulics input code development for a comprehensive deterministic safety analysis

    SciTech Connect (OSTI)

    Salim, Mohd Faiz; Roslan, Ridha; Ibrahim, Mohd Rizal Mamat

    2014-02-12

    Deterministic Safety Analysis (DSA) is one of the mandatory requirements conducted for Nuclear Power Plant licensing process, with the aim of ensuring safety compliance with relevant regulatory acceptance criteria. DSA is a technique whereby a set of conservative deterministic rules and requirements are applied for the design and operation of facilities or activities. Computer codes are normally used to assist in performing all required analysis under DSA. To ensure a comprehensive analysis, the conduct of DSA should follow a systematic approach. One of the methodologies proposed is the Standardized and Consolidated Reference Experimental (and Calculated) Database (SCRED) developed by University of Pisa. Based on this methodology, the use of Reference Data Set (RDS) as a pre-requisite reference document for developing input nodalization was proposed. This paper shall describe the application of RDS with the purpose of assessing its effectiveness. Two RDS documents were developed for an Integral Test Facility of LOBI-MOD2 and associated Test A1-83. Data and information from various reports and drawings were referred in preparing the RDS. The results showed that by developing RDS, it has made possible to consolidate all relevant information in one single document. This is beneficial as it enables preservation of information, promotes quality assurance, allows traceability, facilitates continuous improvement, promotes solving of contradictions and finally assisting in developing thermal hydraulic input regardless of whichever code selected. However, some disadvantages were also recognized such as the need for experience in making engineering judgments, language barrier in accessing foreign information and limitation of resources. Some possible improvements are suggested to overcome these challenges.

  3. Research Input Form

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

    Images: (optional) Only images in JPEG, BMP, GIF, or PNG can be accepted up to 10 Mb. The image caption is limited to 500 characters. Read the "Tips and Tricks" before uploading ...

  4. Summary of Public Input

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

    u m m a r y o f P u b l i c I n p u t M e e t i n g E m b a s s y S u i t e s D . C . C o n v e n t i o n C e n t e r 9 0 0 1 0 t h S t r e e t N W W a s h i n g t o n , D C 2 0 0 0 1 S e p t e m b e r 1 5 , 2 0 1 6 CONSENT- BASED SITING 1 : 3 0 P M O p e n H o u s e ( b e f o r e m e e t i n g b e g i n s ) 2 : 0 0 P M W e l c o m e 2 : 1 0 P M K e y n o t e , J o h n K o t e k , A c t i n g A s s i s t a n t S e c r e t a r y f o r N u c l e a r E n e r g y 2 : 2 5 P M S u m m a r y o f P u b

  5. Analysis of carbon-oxygen reactions by use of a square-input response technique and {sup 18}O isotope

    SciTech Connect (OSTI)

    Miura, Kouichi; Nakagawa, Hiroyuki

    1996-12-31

    Carbon gasification reaction has been investigated for decades including the pioneering works of Walker and his co-workers, but its mechanism has not been completely elucidated. The concept of the active surface area (ASA) was proposed by them, and its importance has been recognized. However, since ASA was measured by O{sub 2} chemisorption at below 300{degrees}C where carbon loss through gasification is negligible, it does not reflect the actual gasification situation. To overcome this weak point, measurements of ASA in a batch reactor and the so-called transient kinetic (TK) method were proposed. Ahmed and Back successfully measured the chemisorbed oxygen during the gasification using a batch reactor, and proposed a new mechanistic sequence for carbon-oxygen reaction which stresses the importance of the reaction between the gaseous oxygen and the chemisorbed oxygen. Radovic et al. proposed the concept of the reactive surface area (RSA), and reported excellent proportionality between the CO{sub 2} gasification rate and the RSA estimated by the TK and the TPD methods. Kapteijn et al. showed that the TK method with labeled molecules is more powerful to examine the mechanism. They found the presence of two types of surface oxygen complexes which desorb at different rates. A Square-input response (SIR) method is applied to the carbon-oxygen reaction. This method allows the observation of transient changes on two step changes. This method has been successfully applied to the analysis of a coal char gasification.

  6. Review of Literature for Inputs to the National Water Savings Model and Spreadsheet Tool-Commercial/Institutional

    SciTech Connect (OSTI)

    Whitehead, Camilla Dunham; Melody, Moya; Lutz, James

    2009-05-29

    Lawrence Berkeley National Laboratory (LBNL) is developing a computer model and spreadsheet tool for the United States Environmental Protection Agency (EPA) to help estimate the water savings attributable to their WaterSense program. WaterSense has developed a labeling program for three types of plumbing fixtures commonly used in commercial and institutional settings: flushometer valve toilets, urinals, and pre-rinse spray valves. This National Water Savings-Commercial/Institutional (NWS-CI) model is patterned after the National Water Savings-Residential model, which was completed in 2008. Calculating the quantity of water and money saved through the WaterSense labeling program requires three primary inputs: (1) the quantity of a given product in use; (2) the frequency with which units of the product are replaced or are installed in new construction; and (3) the number of times or the duration the product is used in various settings. To obtain the information required for developing the NWS-CI model, LBNL reviewed various resources pertaining to the three WaterSense-labeled commercial/institutional products. The data gathered ranged from the number of commercial buildings in the United States to numbers of employees in various sectors of the economy and plumbing codes for commercial buildings. This document summarizes information obtained about the three products' attributes, quantities, and use in commercial and institutional settings that is needed to estimate how much water EPA's WaterSense program saves.

  7. Application of the Neo-Deterministic Seismic Microzonation Procedure in Bulgaria and Validation of the Seismic Input Against Eurocode 8

    SciTech Connect (OSTI)

    Ivanka, Paskaleva; Mihaela, Kouteva; Franco, Vaccari; Panza, Giuliano F.

    2008-07-08

    The earthquake record and the Code for design and construction in seismic regions in Bulgaria have shown that the territory of the Republic of Bulgaria is exposed to a high seismic risk due to local shallow and regional strong intermediate-depth seismic sources. The available strong motion database is quite limited, and therefore not representative at all of the real hazard. The application of the neo-deterministic seismic hazard assessment procedure for two main Bulgarian cities has been capable to supply a significant database of synthetic strong motions for the target sites, applicable for earthquake engineering purposes. The main advantage of the applied deterministic procedure is the possibility to take simultaneously and correctly into consideration the contribution to the earthquake ground motion at the target sites of the seismic source and of the seismic wave propagation in the crossed media. We discuss in this study the result of some recent applications of the neo-deterministic seismic microzonation procedure to the cities of Sofia and Russe. The validation of the theoretically modeled seismic input against Eurocode 8 and the few available records at these sites is discussed.

  8. Residential sector end-use forecasting with EPRI-Reeps 2.1: Summary input assumptions and results

    SciTech Connect (OSTI)

    Koomey, J.G.; Brown, R.E.; Richey, R.

    1995-12-01

    This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

  9. Design and microwave test of an ultrawideband input/output structure for sheet beam travelling wave tubes

    SciTech Connect (OSTI)

    Shu, Guoxiang; Wang, Jianxun; Liu, Guo; Yang, Liya; Luo, Yong; Wang, Shafei

    2015-06-15

    Broadband operation is of great importance for the applications of travelling wave tubes such as high-data communication and wideband radar. An input/output (I/O) structure operating with broadband property plays a significant role to achieve these applications. In this paper, a Y-type branch waveguide (YTBW) coupler and its improvements are proposed and utilized to construct an extremely wideband I/O structure to ensure the broadband operation for sheet beam travelling wave tubes (SB-TWTs). Cascaded reflection resonators are utilized to improve the isolation characteristic and transmission efficiency. Furthermore, to minimize the reflectivity of the port connected with the RF circuit, wave-absorbing material (WAM) is loaded in the resonator. Simulation results for the YTBW loaded with WAM predict an excellent performance with a 50.2% relative bandwidth for port reflectivity under −15 dB, transmission up to −1.5 dB, and meanwhile isolation under −20 dB. In addition, the coupler has a relatively compact configuration and the beam tunnel can be widened, which is beneficial for the propagation of the electrons. A Q-band YTBW loaded with two reflection resonators is fabricated and microwave tested. Vector network analyzer (VNA) measured results have an excellent agreement with our simulation, which verify our theoretical analysis and simulation calculation.

  10. Input of 129I into the western Pacific Ocean resulting from the Fukushima nuclear event

    SciTech Connect (OSTI)

    Tumey, S. J.; Guilderson, T. P.; Brown, T. A.; Broek, T.; Buesseler, K. O.

    2013-04-02

    We present an initial characterization of the input of 129I into the Pacific Ocean resulting from the 2011 Fukushima nuclear accident. This characterization is based primarily on 129I measurements on samples collected from a research cruise conducted in waters off the eastern coast of Japan in June 2011. The resulting measurements were compared with samples intended to reflect pre-Fukushima background that were collected during a May 2011 transect of the Pacific by a commercial container vessel. In surface waters, we observed peak 129I concentrations of ~300 μBq/m3 which represents an elevation of nearly three orders of magnitude compared to pre-Fukushima backgrounds. The 129I results were coupled with 137Cs measurements from the same cruise and derived an average 129I/137Cs activity ratio of 0.442 × 10-6 for the effluent from Fukushima. Finally, we present 129I depth profiles from five stations from this cruise which form the basis for future studies of ocean transport and mixing process as well as estimations of the total budget of 129I released into the Pacific.

  11. Eliminating livelock by assigning the same priority state to each message that is inputted into a flushable routing system during N time intervals

    DOE Patents [OSTI]

    Faber, Vance

    1994-01-01

    Livelock-free message routing is provided in a network of interconnected nodes that is flushable in time T. An input message processor generates sequences of at least N time intervals, each of duration T. An input register provides for receiving and holding each input message, where the message is assigned a priority state p during an nth one of the N time intervals. At each of the network nodes a message processor reads the assigned priority state and awards priority to messages with priority state (p-1) during an nth time interval and to messages with priority state p during an (n+1) th time interval. The messages that are awarded priority are output on an output path toward the addressed output message processor. Thus, no message remains in the network for a time longer than T.

  12. Eliminating livelock by assigning the same priority state to each message that is input into a flushable routing system during N time intervals

    DOE Patents [OSTI]

    Faber, V.

    1994-11-29

    Livelock-free message routing is provided in a network of interconnected nodes that is flushable in time T. An input message processor generates sequences of at least N time intervals, each of duration T. An input register provides for receiving and holding each input message, where the message is assigned a priority state p during an nth one of the N time intervals. At each of the network nodes a message processor reads the assigned priority state and awards priority to messages with priority state (p-1) during an nth time interval and to messages with priority state p during an (n+1) th time interval. The messages that are awarded priority are output on an output path toward the addressed output message processor. Thus, no message remains in the network for a time longer than T. 4 figures.

  13. Embedding global barrier and collective in torus network with each node combining input from receivers according to class map for output to senders

    DOE Patents [OSTI]

    Chen, Dong; Coteus, Paul W; Eisley, Noel A; Gara, Alan; Heidelberger, Philip; Senger, Robert M; Salapura, Valentina; Steinmacher-Burow, Burkhard; Sugawara, Yutaka; Takken, Todd E

    2013-08-27

    Embodiments of the invention provide a method, system and computer program product for embedding a global barrier and global interrupt network in a parallel computer system organized as a torus network. The computer system includes a multitude of nodes. In one embodiment, the method comprises taking inputs from a set of receivers of the nodes, dividing the inputs from the receivers into a plurality of classes, combining the inputs of each of the classes to obtain a result, and sending said result to a set of senders of the nodes. Embodiments of the invention provide a method, system and computer program product for embedding a collective network in a parallel computer system organized as a torus network. In one embodiment, the method comprises adding to a torus network a central collective logic to route messages among at least a group of nodes in a tree structure.

  14. T-602: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    The BlackBerry Web Desktop Manager not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the BlackBerry Web Desktop Manager software and will run in the security context of that site. As a result, the code will be able to access the target user's cookies (including authentication cookies), if any, associated with the site, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user.

  15. Development of Earthquake Ground Motion Input for Preclosure Seismic Design and Postclosure Performance Assessment of a Geologic Repository at Yucca Mountain, NV

    SciTech Connect (OSTI)

    I. Wong

    2004-11-05

    This report describes a site-response model and its implementation for developing earthquake ground motion input for preclosure seismic design and postclosure assessment of the proposed geologic repository at Yucca Mountain, Nevada. The model implements a random-vibration theory (RVT), one-dimensional (1D) equivalent-linear approach to calculate site response effects on ground motions. The model provides results in terms of spectral acceleration including peak ground acceleration, peak ground velocity, and dynamically-induced strains as a function of depth. In addition to documenting and validating this model for use in the Yucca Mountain Project, this report also describes the development of model inputs, implementation of the model, its results, and the development of earthquake time history inputs based on the model results. The purpose of the site-response ground motion model is to incorporate the effects on earthquake ground motions of (1) the approximately 300 m of rock above the emplacement levels beneath Yucca Mountain and (2) soil and rock beneath the site of the Surface Facilities Area. A previously performed probabilistic seismic hazard analysis (PSHA) (CRWMS M&O 1998a [DIRS 103731]) estimated ground motions at a reference rock outcrop for the Yucca Mountain site (Point A), but those results do not include these site response effects. Thus, the additional step of applying the site-response ground motion model is required to develop ground motion inputs that are used for preclosure and postclosure purposes.

  16. Biased low differential input impedance current receiver/converter device and method for low noise readout from voltage-controlled detectors

    DOE Patents [OSTI]

    Degtiarenko, Pavel V.; Popov, Vladimir E.

    2011-03-22

    A first stage electronic system for receiving charge or current from voltage-controlled sensors or detectors that includes a low input impedance current receiver/converter device (for example, a transimpedance amplifier), which is directly coupled to the sensor output, a source of bias voltage, and the device's power supply (or supplies), which use the biased voltage point as a baseline.

  17. KENO V.a Primer: A Primer for Criticality Calculations with SCALE/KENO V.a Using CSPAN for Input

    SciTech Connect (OSTI)

    Busch, R.D.

    2003-01-17

    The SCALE (Standardized Computer Analyses for Licensing Evaluation) computer software system developed at Oak Ridge National Laboratory (ORNL) is widely used and accepted around the world for criticality safety analyses. The well-known KENO V.a three-dimensional Monte Carlo criticality computer code is the primary criticality safety analysis tool in SCALE. The KENO V.a primer is designed to help a new user understand and use the SCALE/KENO V.a Monte Carlo code for nuclear criticality safety analyses. It assumes that the user has a college education in a technical field. There is no assumption of familiarity with Monte Carlo codes in general or with SCALE/KENO V.a in particular. The primer is designed to teach by example, with each example illustrating two or three features of SCALE/KENO V.a that are useful in criticality analyses. The primer is based on SCALE 4.4a, which includes the Criticality Safety Processor for Analysis (CSPAN) input processor for Windows personal computers (PCs). A second edition of the primer, which uses the new KENO Visual Editor, is currently under development at ORNL and is planned for publication in late 2003. Each example in this first edition of the primer uses CSPAN to provide the framework for data input. Starting with a Quickstart section, the primer gives an overview of the basic requirements for SCALE/KENO V.a input and allows the user to quickly run a simple criticality problem with SCALE/KENO V.a. The sections that follow Quickstart include a list of basic objectives at the beginning that identifies the goal of the section and the individual SCALE/KENO V.a features which are covered in detail in the example problems in that section. Upon completion of the primer, a new user should be comfortable using CSPAN to set up criticality problems in SCALE/KENO V.a.

  18. A method to synchronize signals from multiple patient monitoring devices through a single input channel for inclusion in list-mode acquisitions

    SciTech Connect (OSTI)

    OConnor, J. Michael; Pretorius, P. Hendrik; Johnson, Karen; King, Michael A.

    2013-12-15

    Purpose: This technical note documents a method that the authors developed for combining a signal to synchronize a patient-monitoring device with a second physiological signal for inclusion into list-mode acquisition. Our specific application requires synchronizing an external patient motion-tracking system with a medical imaging system by multiplexing the tracking input with the ECG input. The authors believe that their methodology can be adapted for use in a variety of medical imaging modalities including single photon emission computed tomography (SPECT) and positron emission tomography (PET). Methods: The authors insert a unique pulse sequence into a single physiological input channel. This sequence is then recorded in the list-mode acquisition along with the R-wave pulse used for ECG gating. The specific form of our pulse sequence allows for recognition of the time point being synchronized even when portions of the pulse sequence are lost due to collisions with R-wave pulses. This was achieved by altering our software used in binning the list-mode data to recognize even a portion of our pulse sequence. Limitations on heart rates at which our pulse sequence could be reliably detected were investigated by simulating the mixing of the two signals as a function of heart rate and time point during the cardiac cycle at which our pulse sequence is mixed with the cardiac signal. Results: The authors have successfully achieved accurate temporal synchronization of our motion-tracking system with acquisition of SPECT projections used in 17 recent clinical research cases. In our simulation analysis the authors determined that synchronization to enable compensation for body and respiratory motion could be achieved for heart rates up to 125 beats-per-minute (bpm). Conclusions: Synchronization of list-mode acquisition with external patient monitoring devices such as those employed in motion-tracking can reliably be achieved using a simple method that can be implemented using

  19. Revenue Requirements Modeling System (RRMS) documentation. Volume I. Methodology description and user's guide. Appendix A: model abstract; Appendix B: technical appendix; Appendix C: sample input and output. [Compustat

    SciTech Connect (OSTI)

    Not Available

    1986-03-01

    The Revenue Requirements Modeling System (RRMS) is a utility specific financial modeling system used by the Energy Information Administration (EIA) to evaluate the impact on electric utilities of changes in the regulatory, economic, and tax environments. Included in the RRMS is a power plant life-cycle revenue requirements model designed to assess the comparative economic advantage of alternative generating plant. This report is Volume I of a 2-volume set and provides a methodology description and user's guide, a model abstract and technical appendix, and sample input and output for the models. Volume II provides an operator's manual and a program maintenance guide.

  20. Nuclear Industry Input to the Development of Concepts for the Consolidated Storage of Used Nuclear Fuel - 13411

    SciTech Connect (OSTI)

    Phillips, Chris; Thomas, Ivan; McNiven, Steven; Lanthrum, Gary

    2013-07-01

    the CSF. Stage 1 requires only a cask storage pad and railroad interface to be constructed, and the CSF can then receive the UNF that is in transportable storage casks. Stage 2 adds a canister handling facility, a storage cask fabrication facility and an expanded storage pad, and enables the receipt of all canistered UNF from both operating and shutdown sites. Stage 3 provides a repackaging facility with a water-filled pool that provides flexibility for a range of repackaging scenarios. This includes receiving and repackaging 'bare' UNF into suitable canisters that can be placed into interim storage at the CSF, and enables UNF that is being received, or already in storage onsite, to be repackaged into canisters that are suitable for disposal at a geologic repository. The study used the 'Total System Model' (TSM) to analyze a range of CSF capacities and operating scenarios with differing parameters covering UNF pickup orders, one or more CSF sites, CSF start dates, CSF receipt rates and geologic repository start dates. The TSM was originally developed to model movement of UNF to the Yucca Mountain repository and was modified for this study to enable the CSF to become the 'gateway' to a future geologic repository. The TSM analysis enabled costs to be estimated for each scenario and showed how these are influenced by each of the parameters. This information will provide essential underpinning for a future Conceptual Design preparation. (authors)

  1. Conceptual design study on very small long-life gas cooled fast reactor using metallic natural Uranium-Zr as fuel cycle input

    SciTech Connect (OSTI)

    Monado, Fiber; Ariani, Menik; Su'ud, Zaki; Waris, Abdul; Basar, Khairul; Permana, Sidik; Aziz, Ferhat; Sekimoto, Hiroshi

    2014-02-12

    A conceptual design study of very small 350 MWth Gas-cooled Fast Reactors with Helium coolant has been performed. In this study Modified CANDLE burn-up scheme was implemented to create small and long life fast reactors with natural Uranium as fuel cycle input. Such system can utilize natural Uranium resources efficiently without the necessity of enrichment plant or reprocessing plant. The core with metallic fuel based was subdivided into 10 regions with the same volume. The fresh Natural Uranium is initially put in region-1, after one cycle of 10 years of burn-up it is shifted to region-2 and the each region-1 is filled by fresh Natural Uranium fuel. This concept is basically applied to all axial regions. The reactor discharge burn-up is 31.8% HM. From the neutronic point of view, this design is in compliance with good performance.

  2. Wind Power Curve Modeling Using Statistical Models: An Investigation of Atmospheric Input Variables at a Flat and Complex Terrain Wind Farm

    SciTech Connect (OSTI)

    Wharton, S.; Bulaevskaya, V.; Irons, Z.; Qualley, G.; Newman, J. F.; Miller, W. O.

    2015-09-28

    The goal of our FY15 project was to explore the use of statistical models and high-resolution atmospheric input data to develop more accurate prediction models for turbine power generation. We modeled power for two operational wind farms in two regions of the country. The first site is a 235 MW wind farm in Northern Oklahoma with 140 GE 1.68 turbines. Our second site is a 38 MW wind farm in the Altamont Pass Region of Northern California with 38 Mitsubishi 1 MW turbines. The farms are very different in topography, climatology, and turbine technology; however, both occupy high wind resource areas in the U.S. and are representative of typical wind farms found in their respective areas.

  3. Multiple input electrode gap controller

    DOE Patents [OSTI]

    Hysinger, Christopher L.; Beaman, Joseph J.; Melgaard, David K.; Williamson, Rodney L.

    1999-01-01

    A method and apparatus for controlling vacuum arc remelting (VAR) furnaces by estimation of electrode gap based on a plurality of secondary estimates derived from furnace outputs. The estimation is preferably performed by Kalman filter. Adaptive gain techniques may be employed, as well as detection of process anomalies such as glows.

  4. Multiple input electrode gap controller

    DOE Patents [OSTI]

    Hysinger, C.L.; Beaman, J.J.; Melgaard, D.K.; Williamson, R.L.

    1999-07-27

    A method and apparatus for controlling vacuum arc remelting (VAR) furnaces by estimation of electrode gap based on a plurality of secondary estimates derived from furnace outputs. The estimation is preferably performed by Kalman filter. Adaptive gain techniques may be employed, as well as detection of process anomalies such as glows. 17 figs.

  5. Comparisons of four categories of waste recycling in China's paper industry based on physical input-output life-cycle assessment model

    SciTech Connect (OSTI)

    Liang Sai; Zhang, Tianzhu; Xu Yijian

    2012-03-15

    Highlights: Black-Right-Pointing-Pointer Using crop straws and wood wastes for paper production should be promoted. Black-Right-Pointing-Pointer Bagasse and textile waste recycling should be properly limited. Black-Right-Pointing-Pointer Imports of scrap paper should be encouraged. Black-Right-Pointing-Pointer Sensitivity analysis, uncertainties and policy implications are discussed. - Abstract: Waste recycling for paper production is an important component of waste management. This study constructs a physical input-output life-cycle assessment (PIO-LCA) model. The PIO-LCA model is used to investigate environmental impacts of four categories of waste recycling in China's paper industry: crop straws, bagasse, textile wastes and scrap paper. Crop straw recycling and wood utilization for paper production have small total intensity of environmental impacts. Moreover, environmental impacts reduction of crop straw recycling and wood utilization benefits the most from technology development. Thus, using crop straws and wood (including wood wastes) for paper production should be promoted. Technology development has small effects on environmental impacts reduction of bagasse recycling, textile waste recycling and scrap paper recycling. In addition, bagasse recycling and textile waste recycling have big total intensity of environmental impacts. Thus, the development of bagasse recycling and textile waste recycling should be properly limited. Other pathways for reusing bagasse and textile wastes should be explored and evaluated. Moreover, imports of scrap paper should be encouraged to reduce large indirect impacts of scrap paper recycling on domestic environment.

  6. Comparing urban solid waste recycling from the viewpoint of urban metabolism based on physical input-output model: A case of Suzhou in China

    SciTech Connect (OSTI)

    Liang Sai; Zhang Tianzhu

    2012-01-15

    Highlights: Black-Right-Pointing-Pointer Impacts of solid waste recycling on Suzhou's urban metabolism in 2015 are analyzed. Black-Right-Pointing-Pointer Sludge recycling for biogas is regarded as an accepted method. Black-Right-Pointing-Pointer Technical levels of reusing scrap tires and food wastes should be improved. Black-Right-Pointing-Pointer Other fly ash utilization methods should be exploited. Black-Right-Pointing-Pointer Secondary wastes from reusing food wastes and sludge should be concerned. - Abstract: Investigating impacts of urban solid waste recycling on urban metabolism contributes to sustainable urban solid waste management and urban sustainability. Using a physical input-output model and scenario analysis, urban metabolism of Suzhou in 2015 is predicted and impacts of four categories of solid waste recycling on urban metabolism are illustrated: scrap tire recycling, food waste recycling, fly ash recycling and sludge recycling. Sludge recycling has positive effects on reducing all material flows. Thus, sludge recycling for biogas is regarded as an accepted method. Moreover, technical levels of scrap tire recycling and food waste recycling should be improved to produce positive effects on reducing more material flows. Fly ash recycling for cement production has negative effects on reducing all material flows except solid wastes. Thus, other fly ash utilization methods should be exploited. In addition, the utilization and treatment of secondary wastes from food waste recycling and sludge recycling should be concerned.

  7. TURTLE with MAD input (Trace Unlimited Rays Through Lumped Elements) -- A computer program for simulating charged particle beam transport systems and DECAY TURTLE including decay calculations

    SciTech Connect (OSTI)

    Carey, D.C.

    1999-12-09

    TURTLE is a computer program useful for determining many characteristics of a particle beam once an initial design has been achieved, Charged particle beams are usually designed by adjusting various beam line parameters to obtain desired values of certain elements of a transfer or beam matrix. Such beam line parameters may describe certain magnetic fields and their gradients, lengths and shapes of magnets, spacings between magnetic elements, or the initial beam accepted into the system. For such purposes one typically employs a matrix multiplication and fitting program such as TRANSPORT. TURTLE is designed to be used after TRANSPORT. For convenience of the user, the input formats of the two programs have been made compatible. The use of TURTLE should be restricted to beams with small phase space. The lumped element approximation, described below, precludes the inclusion of the effect of conventional local geometric aberrations (due to large phase space) or fourth and higher order. A reading of the discussion below will indicate clearly the exact uses and limitations of the approach taken in TURTLE.

  8. Modeling the Effects of Irrigation on Land Surface Fluxes and States over the Conterminous United States: Sensitivity to Input Data and Model Parameters

    SciTech Connect (OSTI)

    Leng, Guoyong; Huang, Maoyi; Tang, Qiuhong; Sacks, William J.; Lei, Huimin; Leung, Lai-Yung R.

    2013-09-16

    Previous studies on irrigation impacts on land surface fluxes/states were mainly conducted as sensitivity experiments, with limited analysis of uncertainties from the input data and model irrigation schemes used. In this study, we calibrated and evaluated the performance of irrigation water use simulated by the Community Land Model version 4 (CLM4) against observations from agriculture census. We investigated the impacts of irrigation on land surface fluxes and states over the conterminous United States (CONUS) and explored possible directions of improvement. Specifically, we found large uncertainty in the irrigation area data from two widely used sources and CLM4 tended to produce unrealistically large temporal variations of irrigation demand for applications at the water resources region scale over CONUS. At seasonal to interannual time scales, the effects of irrigation on surface energy partitioning appeared to be large and persistent, and more pronounced in dry than wet years. Even with model calibration to yield overall good agreement with the irrigation amounts from the National Agricultural Statistics Service (NASS), differences between the two irrigation area datasets still dominate the differences in the interannual variability of land surface response to irrigation. Our results suggest that irrigation amount simulated by CLM4 can be improved by (1) calibrating model parameter values to account for regional differences in irrigation demand and (2) accurate representation of the spatial distribution and intensity of irrigated areas.

  9. Method and allocation device for allocating pending requests for data packet transmission at a number of inputs to a number of outputs of a packet switching device in successive time slots

    SciTech Connect (OSTI)

    Abel, Francois; Iliadis, Ilias; Minkenberg, Cyriel J. A.

    2009-02-03

    A method for allocating pending requests for data packet transmission at a number of inputs to a number of outputs of a switching system in successive time slots, including a matching method including the steps of providing a first request information in a first time slot indicating data packets at the inputs requesting transmission to the outputs of the switching system, performing a first step in the first time slot depending on the first request information to obtain a first matching information, providing a last request information in a last time slot successive to the first time slot, performing a last step in the last time slot depending on the last request information and depending on the first matching information to obtain a final matching information, and assigning the pending data packets at the number of inputs to the number of outputs based on the final matching information.

  10. Geotech Smart24 data acquisition system input terminated noise seismic response adjusted test : StreckeisenSTS2-low and high gain, Guralp CMG3T and Geotech GS13 seismometers.

    SciTech Connect (OSTI)

    Rembold, Randy Kai; Hart, Darren M.; Harris, James Mark

    2008-08-01

    Sandia National Laboratories has tested, evaluated and reported on the Geotech Smart24 data acquisition system with active Fortezza crypto card data signing and authentication in SAND2008-. One test, Input Terminated Noise, allows us to characterize the self-noise of the Smart24 system. By computing the power spectral density (PSD) of the input terminated noise time series data set and correcting for the instrument response of different seismometers, the resulting spectrum can be compared to the USGS new low noise model (NLNM) of Peterson (1996), and determine the ability of the matched system of seismometer and Smart24 to be quiet enough for any general deployment location. Four seismometer models were evaluated: the Streckeisen STS2-Low and High Gain, Guralp CMG3T and Geotech GS13 models. Each has a unique pass-band as defined by the frequency band of the instrument corrected noise spectrum that falls below the new low-noise model.

  11. Direct Observations of the (Alpha to Gamma) Transformation at Different Input Powers in the Heat Affected Zone of 1045 C-Mn Steel Arc Welds Observed by Spatially Resolved X-Ray Diffraction

    SciTech Connect (OSTI)

    Palmer, T A; Elmer, J W

    2005-03-16

    Spatially Resolved X-Ray Diffraction (SRXRD) experiments have been performed during Gas Tungsten Arc (GTA) welding of AISI 1045 C-Mn steel at input powers ranging from 1000 W to 3750 W. In situ diffraction patterns taken at discreet locations across the width of the heat affected zone (HAZ) near the peak of the heating cycle in each weld show regions containing austenite ({gamma}), ferrite and austenite ({alpha}+{gamma}), and ferrite ({alpha}). Changes in input power have a demonstrated effect on the resulting sizes of these regions. The largest effect is on the {gamma} phase region, which nearly triples in width with increasing input power, while the width of the surrounding two phase {alpha}+{gamma} region remains relatively constant. An analysis of the diffraction patterns obtained across this range of locations allows the formation of austenite from the base metal microstructure to be monitored. After the completion of the {alpha} {yields} {gamma} transformation, a splitting of the austenite peaks is observed at temperatures between approximately 860 C and 1290 C. This splitting in the austenite peaks results from the dissolution of cementite laths originally present in the base metal pearlite, which remain after the completion of the {alpha} {yields} {gamma} transformation, and represents the formation of a second more highly alloyed austenite constituent. With increasing temperatures, carbon, originally present in the cementite laths, diffuses from the second newly formed austenite constituent to the original austenite constituent. Eventually, a homogeneous austenitic microstructure is produced at temperatures of approximately 1300 C and above, depending on the weld input power.

  12. Hydromechanical transmission with three simple planetary assemblies, one sun gear being mounted on the output shaft and the other two on a common shaft connected to an input-driven hydraulic module

    DOE Patents [OSTI]

    Orshansky, Jr., deceased, Elias; Weseloh, William E.

    1978-01-01

    A power transmission having three simple planetary assemblies, each having its own carrier and its own planet, sun, and ring gears. A speed-varying module is connected in driving relation to the input shaft and in driving relationship to the sun gears of the first two planetary assemblies, these two sun gears being connected together on a common shaft. The speed-varying means may comprise a pair of hydraulic units hydraulically interconnected so that one serves as a pump while the other serves as a motor and vice versa, one of the units having a variable stroke and being connected in driving relation to the input shaft, the other unit, which may have a fixed stroke, being connected in driving relation to the sun gears. The input shaft is also connected to drive the second ring gear and, furthermore is clutchable to the carrier of the third planetary assembly. A brake grounds the first carrier in the first range and in reverse and causes drive to be delivered to the output through the first ring gear in a hydrostatic mode. The carrier of the second planetary assembly drives the ring gear of the third planetary assembly, which is clutchable to the output shaft, and the sun gear of the third planetary assembly is mounted rigidly to the output shaft.

  13. BLT-EC (Breach, Leach and Transport-Equilibrium Chemistry) data input guide. A computer model for simulating release and coupled geochemical transport of contaminants from a subsurface disposal facility

    SciTech Connect (OSTI)

    MacKinnon, R.J.; Sullivan, T.M.; Kinsey, R.R.

    1997-05-01

    The BLT-EC computer code has been developed, implemented, and tested. BLT-EC is a two-dimensional finite element computer code capable of simulating the time-dependent release and reactive transport of aqueous phase species in a subsurface soil system. BLT-EC contains models to simulate the processes (container degradation, waste-form performance, transport, chemical reactions, and radioactive production and decay) most relevant to estimating the release and transport of contaminants from a subsurface disposal system. Water flow is provided through tabular input or auxiliary files. Container degradation considers localized failure due to pitting corrosion and general failure due to uniform surface degradation processes. Waste-form performance considers release to be limited by one of four mechanisms: rinse with partitioning, diffusion, uniform surface degradation, and solubility. Transport considers the processes of advection, dispersion, diffusion, chemical reaction, radioactive production and decay, and sources (waste form releases). Chemical reactions accounted for include complexation, sorption, dissolution-precipitation, oxidation-reduction, and ion exchange. Radioactive production and decay in the waste form is simulated. To improve the usefulness of BLT-EC, a pre-processor, ECIN, which assists in the creation of chemistry input files, and a post-processor, BLTPLOT, which provides a visual display of the data have been developed. BLT-EC also includes an extensive database of thermodynamic data that is also accessible to ECIN. This document reviews the models implemented in BLT-EC and serves as a guide to creating input files and applying BLT-EC.

  14. ADVANCED NUCLEAR FUEL CYCLE EFFECTS ON THE TREATMENT OF UNCERTAINTY IN THE LONG-TERM ASSESSMENT OF GEOLOGIC DISPOSAL SYSTEMS - EBS INPUT

    SciTech Connect (OSTI)

    Sutton, M; Blink, J A; Greenberg, H R; Sharma, M

    2012-04-25

    The Used Fuel Disposition (UFD) Campaign within the Department of Energy's Office of Nuclear Energy (DOE-NE) Fuel Cycle Technology (FCT) program has been tasked with investigating the disposal of the nation's spent nuclear fuel (SNF) and high-level nuclear waste (HLW) for a range of potential waste forms and geologic environments. The planning, construction, and operation of a nuclear disposal facility is a long-term process that involves engineered barriers that are tailored to both the geologic environment and the waste forms being emplaced. The UFD Campaign is considering a range of fuel cycles that in turn produce a range of waste forms. The UFD Campaign is also considering a range of geologic media. These ranges could be thought of as adding uncertainty to what the disposal facility design will ultimately be; however, it may be preferable to thinking about the ranges as adding flexibility to design of a disposal facility. For example, as the overall DOE-NE program and industrial actions result in the fuel cycles that will produce waste to be disposed, and the characteristics of those wastes become clear, the disposal program retains flexibility in both the choice of geologic environment and the specific repository design. Of course, other factors also play a major role, including local and State-level acceptance of the specific site that provides the geologic environment. In contrast, the Yucca Mountain Project (YMP) repository license application (LA) is based on waste forms from an open fuel cycle (PWR and BWR assemblies from an open fuel cycle). These waste forms were about 90% of the total waste, and they were the determining waste form in developing the engineered barrier system (EBS) design for the Yucca Mountain Repository design. About 10% of the repository capacity was reserved for waste from a full recycle fuel cycle in which some actinides were extracted for weapons use, and the remaining fission products and some minor actinides were encapsulated

  15. Preliminary Inputs for Wisconsin RPS Analysis

    U.S. Energy Information Administration (EIA) (indexed site)

    Cashing in on Clean Energy: A National Renewable Electricity Standard will Benefit the Environment and the Economy Renewable Energy & Economic Development Session EIA 30 th Anniversary conference Washington DC April 7, 2008 Alan Nogee Director, Clean Energy Program Union of Concerned Scientists www.ucsusa.org Renewable electricity standards: a primary driver of new renewables Ø The #1 driver of renewable energy development. Goldman Sachs Ø"... the most important driver for new

  16. Refinery Net Input of Renewable Diesel Fuel

    U.S. Energy Information Administration (EIA) (indexed site)

    460 501 534 620 603 613 2009-2016 PADD 1 20 22 24 25 24 23 2010-2016 East Coast 2014-2015 Appalachian No. 1 20 22 24 25 24 23 2010-2016 PADD 2 131 120 121 128 125 148 2009-2016 Ind., Ill. and Ky. 106 83 79 86 83 102 2011-2016 Minn., Wis., N. Dak., S. Dak. 19 33 37 37 37 40 2009-2016 Okla., Kans., Mo. 6 4 5 5 5 6 2011-2016 PADD 3 178 188 173 238 220 228 2011-2016 Texas Inland 36 29 32 29 34 37 2011-2016 Texas Gulf Coast 12 9 11 50 62 61 2012-2016 La. Gulf Coast 94 117 93 127 97 99 2012-2016 N.

  17. Opportunities for Public Input Into DOE Projects

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

    public hearing on the draft EIS will be held in Boise on Tuesday, Feb. 2 at the Owyhee Plaza Hotel. It begins at 6 p.m. Draft Mercury Storage Environmental Impact Statement A...

  18. Proposed Process: NNMCAB Input on Campaigns

    Energy.gov [DOE]

    At the April 9, 2014 Committee meeting Jeff Mousseau LANL, Provided Information on the New Proposed Campaign Process for Field Work. Field work at LANL to be Divided into 17 Campaigns in 5 Categories.

  19. Refinery & Blenders Net Input of Hydrogen

    U.S. Energy Information Administration (EIA) (indexed site)

    6,351 6,405 6,834 6,276 6,172 6,399 2009-2015 PADD 1 132 134 117 119 128 125 2009-2015 East Coast 106 112 96 99 103 100 2009-2015 Appalachian No. 1 26 22 21 20 25 25 2009-2015 PADD...

  20. ,"U.S. Blender Net Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    File Name:","petpnpinpt3dcnusmbblm.xls" ,"Available from Web Page:","http:www.eia.govdnavpetpetpnpinpt3dcnusmbblm.htm" ,"Source:","Energy Information ...

  1. Total Blender Net Input of Petroleum Products

    U.S. Energy Information Administration (EIA) (indexed site)

    Normal Butane Isobutane Other Liquids OxygenatesRenewables Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol...

  2. Property:ExternalInput | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    + trigger + MHK ISDBInstrumentsNortek Acoustic Doppler Velocimeter + 2 Analog +, 0-5 V +, 16 bit AD + MHK ISDBInstrumentsNortek Acoustic Wave and Current Meter + 2 Analog...

  3. Midwest (PADD 2) Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update

    M068(2011) The Electricity Market Module of the National Energy Modeling System Model Documentation Report July 2011 U.S. Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 ii U.S. Energy Information Administration/Electricity Market Module Documentation Contacts This report was prepared by the staff of the Office of Electricity, Coal, Nuclear and Renewables Analysis, U.S. Energy Information Administration. General

  4. U.S. Refinery Net Input

    U.S. Energy Information Administration (EIA) (indexed site)

    2010 2011 2012 2013 2014 2015 View History Total 4,178,588 4,091,601 4,007,375 4,037,265 3,954,862 3,881,471 2005-2015 Crude Oil 5,374,094 5,404,347 5,489,516 5,589,006 5,784,637 5,908,550 2005-2015 Natural Gas Plant Liquids 154,941 171,074 175,607 168,808 172,563 172,400 2005-2015 Pentanes Plus 54,697 61,059 59,432 56,153 52,853 50,904 2005-2015 Liquefied Petroleum Gases 100,244 110,015 116,175 112,655 119,710 121,496 2005-2015 Normal Butane 39,253 42,087 45,747 42,461 45,916 48,091 2005-2015

  5. U.S. Refinery Net Input

    U.S. Energy Information Administration (EIA) (indexed site)

    Area: U.S. PADD 1 East Coast Appalachian No. 1 PADD 2 Ind., Ill. and Ky. Minn., Wis., N. Dak., S. Dak. Okla., Kans., Mo. PADD 3 Texas Inland Texas Gulf Coast La. Gulf Coast N. La., Ark New Mexico PADD 4 PADD 5 Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area Mar-16 Apr-16 May-16

  6. ,"U.S. Blender Net Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    ...1,435,986,986,,209969,24896,,,,24896,23733,1163,,-160,,-106,,-54,185233,71322,71322,,,,113911,103744,1214,8953 41685,196795,1238,343,895,895,,195557,23256,,,,23256,22221,1035,,-5,,...

  7. Fissile Material Disposition Program: Deep Borehole Disposal Facility PEIS data input report for direct disposal. Direct disposal of plutonium metal/plutonium dioxide in compound metal canisters. Version 3.0

    SciTech Connect (OSTI)

    Wijesinghe, A.M.; Shaffer, R.J.

    1996-01-15

    The US Department of Energy (DOE) is examining options for disposing of excess weapons-usable nuclear materials [principally plutonium (Pu) and highly enriched uranium (HEU)] in a form or condition that is substantially and inherently more difficult to recover and reuse in weapons production. This report is the data input report for the Programmatic Environmental Impact Statement (PEIS). The PEIS examines the environmental, safety, and health impacts of implementing each disposition alternative on land use, facility operations, and site infrastructure; air quality and noise; water, geology, and soils; biotic, cultural, and paleontological resources; socioeconomics; human health; normal operations and facility accidents; waste management; and transportation. This data report is prepared to assist in estimating the environmental effects associated with the construction and operation of a Deep Borehole Disposal Facility, an alternative currently included in the PEIS. The facility projects under consideration are, not site specific. This report therefore concentrates on environmental, safety, and health impacts at a generic site appropriate for siting a Deep Borehole Disposal Facility.

  8. Total Refinery Net Input of Crude Oil and Petroleum Products

    U.S. Energy Information Administration (EIA) (indexed site)

    325,588 311,454 327,623 327,323 342,451 343,162 2005-2016 PADD 1 18,385 20,685 22,362 21,860 21,743 22,122 2005-2016 East Coast 15,449 18,112 19,390 18,854 18,621 19,043 2005-2016 Appalachian No. 1 2,936 2,573 2,972 3,006 3,122 3,079 2005-2016 PADD 2 62,521 60,604 64,729 66,717 70,195 70,484 2005-2016 Ind., Ill. and Ky. 38,235 37,173 39,952 41,817 44,192 44,941 2005-2016 Minn., Wis., N. Dak., S. Dak. 9,370 7,850 8,968 9,484 10,291 10,438 2005-2016 Okla., Kans., Mo. 14,916 15,581 15,809 15,416

  9. Summary of Stakeholder Input From May 2015 Request for Information...

    Office of Environmental Management (EM)

    through issuance of a Request for Information from public and private sector stakeholders. ... in the deployment of improved publicprivate partnership agreements and increase in ...

  10. Microsoft Word - SmartGrid - NRC Input to DOE Requestrvjcomments...

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

    for restoration of offsite power following a loss-of-grid ... generation such as wind and solar will have to be ... grid stability and operating parameters in accordance ...

  11. Refinery & Blenders Net Input of Crude Oil

    U.S. Energy Information Administration (EIA) (indexed site)

    Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquefied Petroleum Gases Ethane Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished Oils,

  12. Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities

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

    Show Data By: Type Area Feb-16 Mar-16 Apr-16 May-16 Jun-16 Jul-16 View History U.S. 1.38 ... East Coast 0.55 0.76 0.81 0.84 0.79 0.81 1985-2016 Appalachian No. 1 1.57 1.51 1.74 1.58 ...

  13. Refinery Net Input of Motor Gasoline Blending Components (Net...

    U.S. Energy Information Administration (EIA) (indexed site)

    -207,199 -222,768 -224,415 -196,460 -205,085 -201,403 2005-2016 PADD 1 -16,716 -17,346 -17,942 -14,705 -15,325 -15,088 2005-2016 East Coast -16,708 -17,396 -17,889 -14,746 -15,326 ...

  14. Summary of Stakeholder Input From May 2015 Request for Information

    Energy.gov [DOE]

    The U.S. Department of Energy (DOE) sought FY15 feedback through issuance of a Request for Information from public and private sector stakeholders. This RFI received commentary across five areas of...

  15. Table A13. Selected Combustible Inputs of Energy for Heat...

    U.S. Energy Information Administration (EIA) (indexed site)

    Use, 1994: Part 1" " (Estimates in Btu or Physical Units)" ,,,,,,"Coal" ,,,"Distillate",,,"(excluding" ,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,"for","Residual","and","Natural ...

  16. Table A39. Selected Combustible Inputs of Energy for Heat...

    U.S. Energy Information Administration (EIA) (indexed site)

    and End Use, 1991: Part 2" " (Estimates in Trillion Btu)" ,,,"Distillate",,,"Coal" ,"Net Demand",,"Fuel Oil",,,"(excluding","RSE" ,"for","Residual","and",,,"Coal Coke","Row" ...

  17. DOE Seeks Additional Input on Next Generation Nuclear Plant ...

    Energy Savers

    cutting-edge high temperature gas reactor technology in the effort to reduce ... of a high temperature demonstration reactor capable of producing hydrogen, ...

  18. Prioritization Tool Measurement Input Form | Department of Energy

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

    & Publications Austin Energy Data Dashboard Massachusetts -- SEP Data Dashboard Phoenix, Arizona Data Dashboard Buildings Home About Emerging Technologies Residential...

  19. Evaluation of severe accident risks: Quantification of major input parameters

    SciTech Connect (OSTI)

    Harper, F.T.; Payne, A.C.; Breeding, R.J.; Gorham, E.D.; Brown, T.D.; Rightley, G.S.; Gregory, J.J. ); Murfin, W. ); Amos, C.N. )

    1991-04-01

    This report records part of the vast amount of information received during the expert judgment elicitation process that took place in support of the NUREG-1150 effort sponsored by the U.S. Nuclear Regulatory Commission. The results of the Containment Loads and Molten Core/Containment Interaction Expert Panel Elicitation are presented in this part of Volume 2 of NUREG/CR-4551. The Containment Loads Expert Panel considered seven issues: (1) hydrogen phenomena at Grand Gulf; (2) hydrogen burn at vessel breach at Sequoyah; (3) BWR reactor building failure due to hydrogen; (4) Grand Gulf containment loads at vessel breach; (5) pressure increment in the Sequoyah containment at vessel breach; (6) loads at vessel breach: Surry; and (7) pressure increment in the Zion containment at vessel breach. The report begins with a brief discussion of the methods used to elicit the information from the experts. The information for each issue is then presented in five sections: (1) a brief definition of the issue, (2) a brief summary of the technical rationale supporting the distributions developed by each of the experts, (3) a brief description of the operations that the project staff performed on the raw elicitation results in order to aggregate the distributions, (4) the aggregated distributions, and (5) the individual expert elicitation summaries. The Molten Core/Containment Interaction Panel considered three issues. The results of the following two of these issues are presented in this document: (1) Peach Bottom drywell shell meltthrough; and (2) Grand Gulf pedestal erosion. 89 figs., 154 tabs.

  20. Jimmy Bell's Experience Brings Valuable Input to Federal Advisory Board |

    Office of Environmental Management (EM)

    0-11 HSS/Union Focus Group Meeting January 20, 2011 2:00 - 3:00 PM (EST) Call-in: 301-903-0617 Agenda * Opening Remarks [G. Podonsky] * 2011 Strategic Initiatives - Status/Next Steps Overview - Safety & Security Reform Status [B. Eckroade/S. Kirchhoff] - NAPA Worker Dialogue [MJ Campagnone] - Aging Workforce [M. Ardaiz] - Training Assessment Pilots [L. Gasperow/J. Lozoya] * Safety Concerns: Safety Culture [J. Frederick] - DOE/EFCOG ISMS Task Team Report [P. Worthington] * DOE/Union

  1. Spatial Statistical Procedures to Validate Input Data in Energy Models

    SciTech Connect (OSTI)

    Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

    2006-01-01

    Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

  2. Clean Energy Investment Center Seeks Input to Enhance Its Services

    Energy.gov [DOE]

    On March 1, the Clean Energy Investment Center (CEIC) in the Office of Technology Transitions (OTT) issued a Request for Information on ways the Center can improve and expand access to the Department of Energy’s (DOE’s) people and information.

  3. OECD Input-Output Tables | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    714271111,00.html Country: Sweden, Finland, Japan, South Korea, Argentina, Australia, China, Israel, United Kingdom, Portugal, Romania, Greece, Poland, Slovakia, Chile, India,...

  4. ,"U.S. Blender Net Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    Annual",2015,"6/30/2005" ,"Release Date:","10/31/2016" ,"Next Release Date:","9/29/2017" ,"Excel File Name:","pet_pnp_inpt3_dc_nus_mbbl_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt3_dc_nus_mbbl_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202)

  5. ,"U.S. Refinery Net Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    Monthly","8/2016","1/15/2005" ,"Data 2","Alaskan Crude Oil Receipts",1,"Monthly","8/2016","1/15/1986" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016" ,"Excel File Name:","pet_pnp_inpt2_dc_nus_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_inpt2_dc_nus_mbbl_m.htm" ,"Source:","Energy

  6. US Nuclear Regulatory Commission Input to DOE Request for Information...

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

    Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," US...

  7. DOE Seeks Input On Addressing Contractor Pension and Medical...

    Office of Environmental Management (EM)

    the increasing costs and liabilities of contractor employee pension and medical benefits. ... contractor employee pension and medical benefits to current employees and retirees. ...

  8. Wind Data Inputs for Regional Wind Integration Studies: Preprint

    SciTech Connect (OSTI)

    Lew, D.; Alonge, C.; Brower, M.; Frank, J.; Freeman, L.; Orwig, K.; Potter, C.; Wan, Y. H.

    2011-03-01

    This paper examines the methodologies used to create these datasets, the pitfalls that may be encountered, and the tradeoffs between different methodological approaches.

  9. Stanford's input to the Commission to Review the Effectiveness...

    Energy Savers

    President of SLAC National Acceleratory Laboratory and Chair, Board of Overseers, Stanford University. PDF icon Governance and Contracting Models More Documents & Publications...

  10. Possible Magmatic Input to the Dixie Valley Geothermal Field...

    Open Energy Information (Open El) [EERE & EIA]

    to bring externalconstraints when interpreting resistivity inthe Great Basin. Authors Philip E. Wannamaker, William M. Doerner and Derrick P. Hasterok Published Journal 31st...

  11. High Flux Isotope Reactor system RELAP5 input model

    SciTech Connect (OSTI)

    Morris, D.G.; Wendel, M.W.

    1993-01-01

    A thermal-hydraulic computational model of the High Flux Isotope Reactor (HFIR) has been developed using the RELAP5 program. The purpose of the model is to provide a state-of-the art thermal-hydraulic simulation tool for analyzing selected hypothetical accident scenarios for a revised HFIR Safety Analysis Report (SAR). The model includes (1) a detailed representation of the reactor core and other vessel components, (2) three heat exchanger/pump cells, (3) pressurizing pumps and letdown valves, and (4) secondary coolant system (with less detail than the primary system). Data from HFIR operation, component tests, tests in facility mockups and the HFIR, HFIR specific experiments, and other pertinent experiments performed independent of HFIR were used to construct the model and validate it to the extent permitted by the data. The detailed version of the model has been used to simulate loss-of-coolant accidents (LOCAs), while the abbreviated version has been developed for the operational transients that allow use of a less detailed nodalization. Analysis of station blackout with core long-term decay heat removal via natural convection has been performed using the core and vessel portions of the detailed model.

  12. USDA, Departments of Energy and Navy Seek Input from Industry...

    Energy.gov (indexed) [DOE]

    step in the creation of a public-private partnership to develop drop-in advanced biofuels. ... private capital markets to establish a commercially viable drop-in biofuels industry. ...

  13. Powertrain with powersplit pump input and method of use thereof

    DOE Patents [OSTI]

    Johnson, Kris W.; Rose, Charles E.

    2009-04-28

    A powertrain includes an engine operatively connected to a primary power consuming device to transmit power thereto. The powertrain also includes a motor and a pump. The power output of the motor is independent of the power output of the engine. An epicyclic geartrain includes first, second and third members. The first member is operatively connected to the engine to receive power therefrom. The second member is operatively connected to the motor to receive power therefrom. The third member is operatively connected to the pump to transmit power thereto.

  14. Addressing Uncertainty in Desigh Inputs: A Case Study of Probabilisti...

    Office of Environmental Management (EM)

    ... Multiple Occurrences and Location of Soft Zone Region - Dependency of results on ... to these branches 29 CJCAssociates Dependency of Results on Geotechnical Parameters ...

  15. Facilitated Discussion Questions (in blue font) and input from...

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

    Meeting on DataCommunication Standards and Interoperability of Building Appliances, ... - Developing understanding and communication of the business case (value) for ...

  16. A Requirement for Significant Reduction in the Maximum BTU Input...

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

    & Barbecue Association's Comments on DOE's Regulatory Burden RFI Department of Energy Request for Information: Reducing Regulatory Burden (Reply Comments) Re: Regulatory Burden RFI

  17. U.S. Refinery Crude Oil Input Qualities

    U.S. Energy Information Administration (EIA) (indexed site)

    Sulfur Content, Weighted Average (Percent) 1.39 1.40 1.42 1.44 1.45 1.40 1985-2015 API Gravity, Weighted Average (Degrees) 30.71 30.69 31.0 30.79 31.77 31.68 1985-2015 - No Data ...

  18. ,"Catalytic Reforming Downstream Processing of Fresh Feed Input...

    U.S. Energy Information Administration (EIA) (indexed site)

    File Name:","petpnpdwnsa(na)ydrmbblpdm.xls" ,"Available from Web Page:","http:www.eia.govdnavpetpetpnpdwnsa(na)ydrmbblpdm.htm" ,"Source:","Energy Information ...

  19. Gross Input to Atmospheric Crude Oil Distillation Units

    U.S. Energy Information Administration (EIA) (indexed site)

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History U.S. 16,394 15,690 16,673 16,848 16,365 16,167 1985-2016 PADD 1 1,063 1,133 1,190 1,136 1,136 1,080 1985-2016 East Coast 965 ...

  20. LLNL input to FY94 hydrogen annual report

    SciTech Connect (OSTI)

    Schock, R.N.; Smith, J.R.; Rambach, G.; Pekala, R.W.; Westbrook, C.K.; Richardson, J.H.

    1994-12-16

    This report summarizes the FY 1994 progress made in hydrogen research at the Lawrence Livermore National Laboratory. Research programs covered include: Technical and Economic Assessment of the Transport and Storage of Hydrogen; Research and Development of an Optimized Hydrogen-Fueled Internal Combustion Engine; Hydrogen Storage in Engineered Microspheres; Synthesis, Characterization and Modeling of Carbon Aerogels for Hydrogen Storage; Chemical Kinetic Modeling of H2 Applications; and, Municipal Solid Waste to Hydrogen.

  1. Microsoft Word - StakeholderInputForm_Criteria.doc

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

    3 (Rev. 10/08) U.S. Department of Energy Southwestern Power Administration TRANSMISSION PLANNING CRITERIA Page 1 of __ Thank you for your interest in the Southwestern Power Administration (Southwestern) transmission planning process. Please complete this form and return it to Southwestern to ensure the most expedient and thorough response. Completing this form does not qualify the participant for receipt of any service, access to confidential information, or any other right not explicitly stated

  2. Microsoft Word - StakeholderInputForm_LocalPlanningAssessment.doc

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

    2 (Rev. 10/08) U.S. Department of Energy Southwestern Power Administration LOCAL TRANSMISSION PLANNING PARTICIPATION FORM Page 1 of __ Thank you for your interest in the Southwestern Power Administration (Southwestern) transmission planning process. Please complete this form and return it to Southwestern to ensure the most expedient and thorough response. Completing this form does not qualify the participant for receipt of any service, access to confidential information, or any other right not

  3. ,"U.S. Downstream Processing of Fresh Feed Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    ... 35930,,5212,1234,1787 35961,,5288,1290,1805 35991,,5333,1191,1801 36022,,5347,1223,1824 36053,,5189,1152,1731 36083,,5062,1062,1608 36114,,5187,1093,1694 36144,,5203,1103,1740 ...

  4. Improved input and output couplers for SC acceleration structure

    SciTech Connect (OSTI)

    Solyak, N.; Gonin, I.; Latina, A.; Lunin, A.; Poloubotko, V.; Yakovlev, V.; /Fermilab

    2009-04-01

    Different couplers are described that allow the reduction of both transverse wake potential and RF kick in the SC acceleration structure of ILC. A simple rotation of the couplers reducing the RF kick and transverse wake kick is discussed for both the main linac and bunch compressors, along with possible limitations of this method. Designs of a coupler unit are presented which preserve axial symmetry of the structure, and provide reduced both the RF kick and transverse wake field.

  5. Appendix C: Biomass Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  6. KJRR-FAI Hydraulic Flow Testing Input Package

    SciTech Connect (OSTI)

    N.E. Woolstenhulme; R.B. Nielson; D.B. Chapman

    2013-12-01

    The INL, in cooperation with the KAERI via Cooperative Research And Development Agreement (CRADA), undertook an effort in the latter half of calendar year 2013 to produce a conceptual design for the KJRR-FAI campaign. The outcomes of this effort are documented in further detail elsewhere [5]. The KJRR-FAI was designed to be cooled by the ATRs Primary Coolant System (PCS) with no provision for in-pile measurement or control of the hydraulic conditions in the irradiation assembly. The irradiation assembly was designed to achieve the target hydraulic conditions via engineered hydraulic losses in a throttling orifice at the outlet of the irradiation vehicle.

  7. Catalytic Reforming Downstream Processing of Fresh Feed Input

    U.S. Energy Information Administration (EIA) (indexed site)

    Process: Catalytic Reforming Catalytic Cracking Catalytic Hydrocracking Delayed and Fluid Coking Period-Unit: Monthly-Thousand Barrels per Day Annual-Thousand Barrels per Day ...

  8. U.S. Downstream Processing of Fresh Feed Input

    U.S. Energy Information Administration (EIA) (indexed site)

    2010 2011 2012 2013 2014 2015 View History Catalytic Reforming 2,632 2,571 2,606 2,601 2,592 2,726 2010-2015 Catalytic Cracking 4,873 4,952 4,901 4,811 4,885 4,854 1987-2015 Catalytic Hydrocracking 1,422 1,467 1,529 1,670 1,663 1,691 1987-2015 Delayed and Fluid Coking 1,996 2,094 2,177 2,303 2,337 2,352 1987-2015 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum of components due to

  9. U.S. Downstream Processing of Fresh Feed Input

    U.S. Energy Information Administration (EIA) (indexed site)

    Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 View History Catalytic Reforming 2,824 2,727 2,894 2,994 2,931 2,810 2010-2016 Catalytic Cracking 4,935 4,899 5,073 5,085 5,017 5,111 1987-2016 Catalytic Hydrocracking 1,778 1,802 1,885 1,911 1,934 1,882 1987-2016 Delayed and Fluid Coking 2,411 2,393 2,291 2,435 2,546 2,519 1987-2016 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum of components due

  10. U.S. Refinery & Blender Net Input

    U.S. Energy Information Administration (EIA) (indexed site)

    2010 2011 2012 2013 2014 2015 View History Total 6,345,372 6,422,710 6,406,693 6,577,077 6,779,342 6,870,704 1981-2015 Crude Oil 5,374,094 5,404,347 5,489,516 5,589,006 5,784,637 5,908,550 1981-2015 Natural Gas Plant Liquids and Liquefied Refinery Gases 161,479 178,884 186,270 181,112 186,601 188,722 1981-2015 Pentanes Plus 56,686 63,385 63,596 60,394 56,037 53,465 1981-2015 Liquefied Petroleum Gases 104,793 115,499 122,674 120,718 130,564 135,257 1981-2015 Ethane 1981-1992 Normal Butane 43,802

  11. U.S. Refinery & Blender Net Input

    U.S. Energy Information Administration (EIA) (indexed site)

    Area: U.S. PADD 1 East Coast Appalachian No. 1 PADD 2 Ind., Ill. and Ky. Minn., Wis., N. Dak., S. Dak. Okla., Kans., Mo. PADD 3 Texas Inland Texas Gulf Coast La. Gulf Coast N. La., Ark New Mexico PADD 4 PADD 5 Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area Mar-16 Apr-16 May-16

  12. U.S. Refinery Crude Oil Input Qualities

    U.S. Energy Information Administration (EIA) (indexed site)

    Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 View History Sulfur Content, Weighted Average (Percent) 1.43 1.39 1.43 1.47 1.43 1.44 1985-2016 API Gravity, Weighted Average (Degrees) 31.17 31.35 31.59 31.38 31.17 31.10 1985-2016 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Totals may not equal sum of components due to independent rounding. See Definitions, Sources, and Notes link above for more information on this

  13. T-546: Microsoft MHTML Input Validation Hole May Permit Cross...

    Office of Environmental Management (EM)

    a client-side script in the response of a Web request run in the context of the victim's ... action that the user could take on the affected Web site on behalf of the targeted user. ...

  14. Estimates of emergency operating capacity in US manufacturing and nonmanufacturing industries

    SciTech Connect (OSTI)

    Belzer, D.B. ); Serot, D.E. ); Kellogg, M.A. )

    1991-03-01

    Development of integrated mobilization preparedness policies requires planning estimates of available productive capacity during national emergency conditions. Such estimates must be developed in a manner that allows evaluation of current trends in capacity and the consideration of uncertainties in various data inputs and in engineering assumptions. This study, conducted by Pacific Northwest Laboratory (PNL), developed estimates of emergency operating capacity (EOC) for 446 manufacturing industries at the 4-digit Standard Industrial Classification (SIC) level of aggregation and for 24 key non-manufacturing sectors. This volume presents tabular and graphical results of the historical analysis and projections for each SIC industry. (JF)

  15. Capacity mapping for optimum utilization of pulverizers for coal fired boilers - article no. 032201

    SciTech Connect (OSTI)

    Bhattacharya, C.

    2008-09-15

    Capacity mapping is a process of comparison of standard inputs with actual fired inputs to assess the available standard output capacity of a pulverizer. The base capacity is a function of grindability; fineness requirement may vary depending on the volatile matter (VM) content of the coal and the input coal size. The quantity and the inlet will change depending on the quality of raw coal and output requirement. It should be sufficient to dry pulverized coal (PC). Drying capacity is also limited by utmost PA fan power to supply air. The PA temperature is limited by air preheater (APH) inlet flue gas temperature; an increase in this will result in efficiency loss of the boiler. The higher PA inlet temperature can be attained through the economizer gas bypass, the steam coiled APH, and the partial flue gas recirculation. The PS/coal ratioincreases with a decrease in grindability or pulverizer output and decreases with a decrease in VM. The flammability of mixture has to be monitored on explosion limit. Through calibration, the PA flow and efficiency of conveyance can be verified. The velocities of coal/air mixture to prevent fallout or to avoid erosion in the coal carrier pipe are dependent on the PC particle size distribution. Metal loss of grinding elements inversely depends on the YGP index of coal. Variations of dynamic loading and wearing of grinding elements affect the available milling capacity and percentage rejects. Therefore, capacity mapping in necessary to ensure the available pulverizer capacity to avoid overcapacity or undercapacity running of the pulverizing system, optimizing auxiliary power consumption. This will provide a guideline on the distribution of raw coal feeding in different pulverizers of a boiler to maximize system efficiency and control, resulting in a more cost effective heat rate.

  16. Estimates of emergency operating capacity in US manufacturing and nonmanufacturing industries - Volume 1: Concepts and Methodology

    SciTech Connect (OSTI)

    Belzer, D.B. ); Serot, D.E. ); Kellogg, M.A. )

    1991-03-01

    Development of integrated mobilization preparedness policies requires planning estimates of available productive capacity during national emergency conditions. Such estimates must be developed in a manner to allow evaluation of current trends in capacity and the consideration of uncertainties in various data inputs and in engineering assumptions. This study developed estimates of emergency operating capacity (EOC) for 446 manufacturing industries at the 4-digit Standard Industrial Classification (SIC) level of aggregation and for 24 key nonmanufacturing sectors. This volume lays out the general concepts and methods used to develop the emergency operating estimates. The historical analysis of capacity extends from 1974 through 1986. Some nonmanufacturing industries are included. In addition to mining and utilities, key industries in transportation, communication, and services were analyzed. Physical capacity and efficiency of production were measured. 3 refs., 2 figs., 12 tabs. (JF)

  17. U.S. Refinery Utilization and Capacity

    U.S. Energy Information Administration (EIA) (indexed site)

    Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 View History Gross Input to Atmospheric Crude Oil Distillation Units 16,261 16,222 16,477 16,803 16,994 16,975 1985-2016 Operable Capacity (Calendar Day) 18,307 18,320 18,320 18,436 18,436 18,436 1985-2016 Operating 18,072 17,607 18,086 18,194 18,284 18,316 1985-2016 Idle 236 713 234 242 152 120 1985-2016 Operable Utilization Rate (%) 88.8 88.6 89.9 91.1 92.2 92.1 1985-2016 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  18. ENERGYWORKS KC BUILDS CAPACITY IN KANSAS CITY | Department of...

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

    ... Marketing and Outreach: The city developed the marketing strategy for EnergyWorks KC with input from MEC, MARC, BTG, and a marketing consultant. Marketing materials were ...

  19. North Dakota Refining Capacity Study

    SciTech Connect (OSTI)

    Dennis Hill; Kurt Swenson; Carl Tuura; Jim Simon; Robert Vermette; Gilberto Marcha; Steve Kelly; David Wells; Ed Palmer; Kuo Yu; Tram Nguyen; Juliam Migliavacca

    2011-01-05

    According to a 2008 report issued by the United States Geological Survey, North Dakota and Montana have an estimated 3.0 to 4.3 billion barrels of undiscovered, technically recoverable oil in an area known as the Bakken Formation. With the size and remoteness of the discovery, the question became 'can a business case be made for increasing refining capacity in North Dakota?' And, if so what is the impact to existing players in the region. To answer the question, a study committee comprised of leaders in the region's petroleum industry were brought together to define the scope of the study, hire a consulting firm and oversee the study. The study committee met frequently to provide input on the findings and modify the course of the study, as needed. The study concluded that the Petroleum Area Defense District II (PADD II) has an oversupply of gasoline. With that in mind, a niche market, naphtha, was identified. Naphtha is used as a diluent used for pipelining the bitumen (heavy crude) from Canada to crude markets. The study predicted there will continue to be an increase in the demand for naphtha through 2030. The study estimated the optimal configuration for the refinery at 34,000 barrels per day (BPD) producing 15,000 BPD of naphtha and a 52 percent refinery charge for jet and diesel yield. The financial modeling assumed the sponsor of a refinery would invest its own capital to pay for construction costs. With this assumption, the internal rate of return is 9.2 percent which is not sufficient to attract traditional investment given the risk factor of the project. With that in mind, those interested in pursuing this niche market will need to identify incentives to improve the rate of return.

  20. Improving Power System Modeling. A Tool to Link Capacity Expansion and Production Cost Models

    SciTech Connect (OSTI)

    Diakov, Victor; Cole, Wesley; Sullivan, Patrick; Brinkman, Gregory; Margolis, Robert

    2015-11-01

    Capacity expansion models (CEM) provide a high-level long-term view at the prospects of the evolving power system. In simulating the possibilities of long-term capacity expansion, it is important to maintain the viability of power system operation in the short-term (daily, hourly and sub-hourly) scales. Production-cost models (PCM) simulate routine power system operation on these shorter time scales using detailed load, transmission and generation fleet data by minimizing production costs and following reliability requirements. When based on CEM 'predictions' about generating unit retirements and buildup, PCM provide more detailed simulation for the short-term system operation and, consequently, may confirm the validity of capacity expansion predictions. Further, production cost model simulations of a system that is based on capacity expansion model solution are 'evolutionary' sound: the generator mix is the result of logical sequence of unit retirement and buildup resulting from policy and incentives. The above has motivated us to bridge CEM with PCM by building a capacity expansion - to - production cost model Linking Tool (CEPCoLT). The Linking Tool is built to onset capacity expansion model prescriptions onto production cost model inputs. NREL's ReEDS and Energy Examplar's PLEXOS are the capacity expansion and the production cost models, respectively. Via the Linking Tool, PLEXOS provides details of operation for the regionally-defined ReEDS scenarios.

  1. Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation

    U.S. Energy Information Administration (EIA) (indexed site)

    1 " " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," "," ","Coke"," "," " " "," "," ","Net","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC","

  2. Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation

    U.S. Energy Information Administration (EIA) (indexed site)

    2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," "," ","RSE" "SIC"," "," ","Net","Residual","Distillate","

  3. Table A4. Total Inputs of Energy for Heat, Power, and Electricity Generation

    U.S. Energy Information Administration (EIA) (indexed site)

    by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," "," ","RSE" "SIC","

  4. U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 154,590 175,702 144,811 131,894 109,977 126,363 113,189 101,382 101,134 106,745 1990's 122,806 112,606 117,919 118,999 110,826 110,290 109,455 103,153 102,189 98,249 2000's 90,000 86,312 67,980 67,706 60,365 63,691 66,058 63,132 60,889 65,259 2010's 64,575 60,088 61,366 54,650 59,642 58,625

  5. Failure analysis for the dual input quad NAND fate CD4011 under dormant storage conditions.

    SciTech Connect (OSTI)

    Sorensen, Neil Robert

    2004-11-01

    Several groups of plastic molded CD4011 were electrically tested as part of an Army dormant storage program. For this test, parts had been in storage in missile containers for 4.5 years. Eight of the parts (out of 1200) failed the electrical tests and were subsequently analyzed to determine the cause of the failures. The root cause was found to be corrosion of the unpassivated Al bondpads. No significant attack of the passivated Al traces was found. Seven of the eight failures occurred in parts stored on a preposition ship (Jeb Stuart), suggesting a link between the external environment and observed corrosion.

  6. Failure analysis for the dual input quad NAND gate CD4011 under dormant storage conditions.

    SciTech Connect (OSTI)

    Sorensen, Neil Robert

    2007-05-01

    Several groups of plastic molded CD4011s were electrically tested as part of an Army dormant storage program. These parts had been in storage in missile containers for 4.5 years, and were electrically tested annually. Eight of the parts (out of 1200) failed the electrical tests and were subsequently analyzed to determine the cause of the failures. The root cause was found to be corrosion of the unpassivated Al bondpads. No significant attack of the passivated Al traces was found. Seven of the eight failures occurred in parts stored on a pre-position ship (the Jeb Stuart), suggesting a link between the external environment and observed corrosion.

  7. Message Passage Interface Input/Output (MPI-IO Test) Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2005-04-08

    Although there a host of existing file system and I/O test programs available, most were not designed with parallel I/O in mind and are not useful at the scale of our clusters. Los Alamos National Lab's MPI-IO test was written with I/O and scale in mind. The MPI-IO test is built on top of MPI's I/O calls and is used to gather timing information for reading from and writing to file(s) using a variety ofmore » I/O profiles; N processes writing to N files, N processes writing to one file, N processes sending data to m processes writing to m files, or n processes sending data to m processes to one file. A data aggregation capability is available and the user can pass down MPI-IO, ROMIO and some file system specific MPI hints. By default, the MPI-IO Test will write and specific pattern to a file, close the file, open the file for read, read the data, check for data integrity and close the file. Timing information is reported for file open, close, read and write data rates, and effective bandwidths. The MPI-IO Test can be used for performance benchmarking and, in some cases, to diagnost problems with file systems or I/O networks.« less

  8. Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generatio

    U.S. Energy Information Administration (EIA) (indexed site)

    1" " (Estimates in Btu or Physical Units)" ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding" ,,,"Net","Residual","and Diesel",,,"Coal Coke",,"RSE" "SIC",,"Total","Electricity(b)","Fuel Oil","Fuel(c)","Natural Gas(d)","LPG","and Breeze)","Other(e)","Row" "Code(a)","End-Use

  9. Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio

    U.S. Energy Information Administration (EIA) (indexed site)

    1" " (Estimates in Btu or Physical Units)" ,,,,"Distillate",,,"Coal" ,,,,"Fuel Oil",,,"(excluding" ,,"Net","Residual","and Diesel",,,"Coal Coke",,"RSE" ,"Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural Gas(c)","LPG","and Breeze)","Other(d)","Row" "End-Use Categories","(trillion

  10. Table A11. Total Inputs of Energy for Heat, Power, and Electricity Generatio

    U.S. Energy Information Administration (EIA) (indexed site)

    2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural

  11. Table A12. Selected Combustible Inputs of Energy for Heat, Power, and

    U.S. Energy Information Administration (EIA) (indexed site)

    Type and End Use," " 1994: Part 1" " (Estimates in Btu or Physical Units)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,,"for","Residual","and","Natural Gas(d)",,"and Breeze)","RSE" "SIC",,"Electricity(b)","Fuel Oil","Diesel

  12. Table A12. Selected Combustible Inputs of Energy for Heat, Power, and

    U.S. Energy Information Administration (EIA) (indexed site)

    Type" " and End Use, 1994: Part 2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,"Residual","Distillate",,,"(excluding","RSE" "SIC",,"Net Demand","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code(a)","End-Use Categories","for Electricity(b)","Oil","Diesel

  13. Table A36. Total Inputs of Energy for Heat, Power, and Electricity

    U.S. Energy Information Administration (EIA) (indexed site)

    ,,,,,,,,"Coal" " Part 1",,,,,,,,"(excluding" " (Estimates in Btu or Physical Units)",,,,,"Distillate",,,"Coal Coke" ,,,,,"Fuel Oil",,,"and" ,,,"Net","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" "SIC",,"Total","Electricity(b)","Fuel Oil","Fuel","(billion","LPG","(1000

  14. Table A36. Total Inputs of Energy for Heat, Power, and Electricity

    U.S. Energy Information Administration (EIA) (indexed site)

    " Part 2" " (Estimates in Trillion Btu)",,,,,,,,"Coal" ,,,,,"Distillate",,,"(excluding" ,,,,,"Fuel Oil",,,"Coal Coke",,"RSE" "SIC",,,"Net","Residual","and Diesel",,,"and",,"Row" "Code(a)","End-Use Categories","Total","Electricity(b)","Fuel Oil","Fuel(c)","Natural

  15. Table A37. Total Inputs of Energy for Heat, Power, and Electricity

    U.S. Energy Information Administration (EIA) (indexed site)

    1",,,,,,,"Coal" " (Estimates in Btu or Physical Units)",,,,,,,"(excluding" ,,,,"Distillate",,,"Coal Coke" ,,"Net",,"Fuel Oil",,,"and" ,,"Electricity(a)","Residual","and Diesel","Natural Gas",,"Breeze)",,"RSE" ,"Total","(million","Fuel Oil","Fuel","(billion","LPG","(1000

  16. Table A37. Total Inputs of Energy for Heat, Power, and Electricity

    U.S. Energy Information Administration (EIA) (indexed site)

    2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,,,"Fuel Oil",,,"Coal Coke",,"RSE" ,,"Net","Residual","and Diesel",,,"and",,"Row" "End-Use Categories","Total","Electricity(a)","Fuel Oil","Fuel(b)","Natural

  17. Table A38. Selected Combustible Inputs of Energy for Heat, Power, and

    U.S. Energy Information Administration (EIA) (indexed site)

    1" " (Estimates in Btu or Physical Units)",,,,,,,"Coal" ,,,,"Distillate",,,"(excluding" ,,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,,"for","Residual","and","Natural Gas(d)",,"and Breeze)","RSE" "SIC",,"Electricity(b)","Fuel Oil","Diesel Fuel(c)","(billion","LPG","(1000 short","Row"

  18. Table A38. Selected Combustible Inputs of Energy for Heat, Power, and

    U.S. Energy Information Administration (EIA) (indexed site)

    2" " (Estimates in Trillion Btu)" ,,,,,,,"Coal" ,,"Net Demand","Residual","Distillate",,,"(excluding","RSE" "SIC",,"for Electri-","Fuel","Fuel Oil and","Natural",,"Coal Coke","Row" "Code","End-Use Categories","city(b)","Oil","Diesel Fuel(c)","Gas(d)","LPG","and

  19. Appendix F: FreedomCAR and Vehicle Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  20. BETO Seeks Stakeholder Input on the Co-Optimization of Fuels...

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

    synergies among new bio-based fuels, engines, powertrains, and fueling infrastructure. Image by Loren Stacks, Sandia National Laboratories Co-Optimized Fuel-Engine Systems to ...

  1. Microsoft Word - LPPC QER Final Input 10-22-2014.docx

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

    ... Where such markets do not exist, any potential development ... Participation in sub-hourly energy markets, like an EIM, ... local control and governance structures. 7. FERC ...

  2. DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities

    Energy.gov [DOE]

    WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced in the Federal Register that it is seeking public comment on how to address the increasing costs and liabilities of contractor...

  3. U-015: CiscoWorks Common Services Home Page Input Validation...

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

    commands on the target system. A remote user can submit a specially crafted URL via TCP port 443 or 1741 to execute arbitrary commands on the target system. The commands will...

  4. Microsoft PowerPoint - OTT RFI Summary of Input_Public_Oct 2015

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

    ... has been done * Make TT a priority and factor in all DOE lab strategic planning - OTT ... Regularly seek external feedback on tech transfer efforts - Adopt best practices of other ...

  5. SRTC Input to DOE-HQ R and D Database for FY98

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    1998-11-18

    IDWP is a software application that was developed to identify the groundwater monitoring wells at SRS that require containerization and treatment for purge water generated during sampling. Created by the Statistical Consulting Section of SRTC, IDWP is a SAS application that retrieves the necessary data for wells selected by the user from the Site's extensive groundwater database on a remote machine. The program then applies an algorithm, derived by the Environmental Protection Department from the SRS Investigation-Derived Waste (IDW) Management Plan, to the analytical results to determine whether containerization is required for the specified wells. IDWP produces output files that designate the containerization status of each of the selected wells, provide statistics to support the treatment facilities' permits, and assist with controlling and scheduling the handling of the managed purge water. The SRS Aqueous IDW Administrator in the Environmental Restoration Division (ERD) uses IDWP in conjunction with knowledge of new wells to produce quarterly reports that specify which groundwater monitoring wells require purge water containerization for each treatment facility. Special reports supply other groundwater information of interest to ERD, such as analytical concentration plots and groundwater data gathering. Benefits include the timely generation of containerization lists for each treatment facility; the automatic retrieval of, and complex calculations for, extremely large amounts of data, ensuring consistent, accurate, and current containerization lists; and features such as a user-friendly interface, availability through computer networks, access for simultaneous multiple users, and independence from any particular person. The scope of IDWP continually expands to accommodate changes to the IDW Management Plan and to satisfy additional needs as they are identified, including the development of an Intranet interface for FY99.

  6. Biological Ocean Margins Program. Active Microbes Responding to Inputs from the Orinoco River Plume. Final Report

    SciTech Connect (OSTI)

    Jorge E. Corredor

    2013-01-28

    The overall goal of the proposed work is to identify the active members of the heterotrophic community involved in C and N cycling in the perimeter of the Orinoco River Plume (ORP), assess their spatial distribution, quantify their metabolic activity, and correlate these parameters to plume properties such as salinity, organic matter content and phytoplankton biomass.

  7. Table A56. Number of Establishments by Total Inputs of Energy...

    U.S. Energy Information Administration (EIA) (indexed site)

    ... Feedstocks",12,44 ," Direct Microbial",40,0 ," Bioprocessing",141,42 ," Gasification of Biomass Feedstocks"," W ",20 ," Fast Pyrolysis of Biomass Feedstocks",11,0 ," ...

  8. Thermal input control and enhancement for laser based residual stress measurements using liquid temperature indicating coatings

    DOE Patents [OSTI]

    Pechersky, M.J.

    1999-07-06

    An improved method for measuring residual stress in a material is disclosed comprising the steps of applying a spot of temperature indicating coating to the surface to be studied, establishing a speckle pattern surrounds the spot of coating with a first laser then heating the spot of coating with a far infrared laser until the surface plastically deforms. Comparing the speckle patterns before and after deformation by subtracting one pattern from the other will produce a fringe pattern that serves as a visual and quantitative indication of the degree to which the plasticized surface responded to the stress during heating and enables calculation of the stress. 3 figs.

  9. Microsoft PowerPoint - OTT RFI Summary of Input_Public_Oct 2015

    Office of Environmental Management (EM)

    ... and standardization of TT processes, activities and policies - Unify IP agreements, NDA protocols, COI's - Clarify what terms areare not negotiable - Clear long-term ...

  10. U-238: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    Cross-site scripting (XSS) vulnerability in HP Service Manager Web Tier 7.11, 9.21, and 9.30, and HP Service Center Web Tier 6.28, allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.

  11. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    Symantec’s Brightmail Gateway management console is susceptible to stored cross-site scripting (XSS) issues found in some of the administrative interface pages.

  12. U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    Potential security vulnerabilities have been identified with HP Network Node Manager I (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS).

  13. U-229: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    Potential security vulnerabilities have been identified with HP Network Node Manager i (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS).

  14. Energy and crude oil input requirements for the production of reformulated gasolines

    SciTech Connect (OSTI)

    Singh, M.; McNutt, B.

    1993-10-01

    The energy and crude oil requirements for the production of reformulated gasoline (RFG) are estimated. The scope of the study includes both the energy and crude oil embodied in the final product and the process energy required to manufacture the RFG and its components. The effects on energy and crude oil use of employing various oxygenates to meet the minimum oxygen-content level required by the Clean Air Act Amendments are evaluated. The analysis shows that production of RFG requires more total energy, but uses less crude oil, than that of conventional gasoline. The energy and crude oil use requirements of the different RFGs vary considerably. For the same emissions performance level, RFG with ethanol requires substantially more total energy and crude oil than does RFG with methyl tertiary butyl ether (MTBE) or ethyl tertiary butyl ether. A specific proposal by the US Environmental Protection Agency, designed to allow the use of ethanol in RFG, would increase the total energy required to produce RFG by 2% and the total crude oil required by 2.0 to 2.5% over the corresponding values for the base RFG with MTBE.

  15. EERE Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines |

    Energy.gov (indexed) [DOE]

    Presented at the Department of Energy Fuel Cell Projects Kickoff Meeting, September 1 - October 1, 2009 satyapal_doe_kickoff.pdf (1.33 MB) More Documents & Publications Hydrogen and Fuel Cells Program Overview: Hydrogen and Fuel Cells 2011 International Conference DOE Fuel Cell Technologies Office: 2013 Fuel Cell Seminar and Energy Exposition Fuel Cell Technologies Program - DOD-DOE Workshop: Shipboard APUs Overview Energy

    will exercise normal federal stewardship in overseeing the

  16. Letter: Incorporation of Input from the Environmental Management SSAB into Office of Legacy Management Activities

    Energy.gov [DOE]

    From: Assistant Secretary, Jessie H. Roberson (EM-1) To: Mr. James C. Bierer, Chair, Fernald Citizens Advisory Board

  17. Tribes Provide Input on 10-Year Plan for Renewable Energy in...

    Energy.gov (indexed) [DOE]

    energy project deployment through federal efforts, including the START Program Leverage science and innovative technologies in renewable energy. Read the DOE news release....

  18. Summary of Input to DOE Request for Information DE-PS36-08GO38002...

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

    Presented at the DOE Fuel Cell Pre-Solicitation Workshop held January 23-24, 2008 in Golden, Colorado. fuelcellpre-solicitationwkshopjan08peterson.pdf (151.39 KB) More ...

  19. Final Technical Report: Effects of Changing Water and Nitrogen Inputs on a Mojave Desert Ecosystem

    SciTech Connect (OSTI)

    Smith, Stanley, D.; Nowak, Robert S.; Fenstermaker, Lynn, F.; Young, Michael,H.

    2007-11-30

    In order to anticipate the effects of global change on ecosystem function, it is essential that predictive relationships be established linking ecosystem function to global change scenarios. The Mojave Desert is of considerable interest with respect to global change. It contains the driest habitats in North America, and thus most closely approximates the worlds great arid deserts. In order to examine the effects of climate and land use changes, in 2001 we established a long-term manipulative global change experiment, called the Mojave Global Change Facility. Manipulations in this study include the potential effects of (1) increased summer rainfall (75 mm over three discrete 25 mm events), (2) increased nitrogen deposition (10 and 40 kg ha-1), and (3) the disturbance of biological N-fixing crusts . Questions addressed under this grant shared the common hypothesis that plant and ecosystem performance will positively respond to the augmentation of the most limiting resources to plant growth in the Mojave Desert, e.g., water and nitrogen. Specific hypotheses include (1) increased summer rainfall will significantly increase plant production through an alleviation of moisture stress in the dry summer months, (2) N-deposition will increase plant production in this N-limited system, particularly in wet years or in concert with added summer rain, and (3) biological crust disturbance will gradually decrease bio-available N, with concomitant long-term reductions in photosynthesis and ANPP. Individual plant and ecosystem responses to global change may be regulated by biogeochemical processes and natural weather variability, and changes in plant and ecosystem processes may occur rapidly, may occur only after a time lag, or may not occur at all. During the first PER grant period, we observed changes in plant and ecosystem processes that would fall under each of these time-response intervals: plant and ecosystem processes responded rapidly to added summer rain, whereas most processes responded slowly or in a lag fashion to N-deposition and with no significant response to crust disturbance. Therefore, the primary objectives of this renewal grant were to: (1) continue ongoing measurements of soil and plant parameters that assess primary treatment responses; (2) address the potential heterogeneity of soil properties and (3) initiate a new suite of measurements that will provide data necessary for scaling/modeling of whole-plot to ecosystem-level responses. Our experimental approach included soil plant-water interactions using TDR, neutron probe, and miniaturized soil matric potential and moisture sensors, plant ecophysiological and productivity responses to water and nitrogen treatments and remote sensing methodologies deployed on a radio control platform. We report here the most significant findings of our study.

  20. DOE Seeks Further Public Input on How Best To Streamline Existing Regulations

    Energy.gov [DOE]

    The Department of Energy (DOE) has announced a further step to implementing the President’s Executive Order on Improving Regulatory Review.  The Executive Order directs federal agencies to review...

  1. ,"U.S. Downstream Processing of Fresh Feed Input"

    U.S. Energy Information Administration (EIA) (indexed site)

    Annual",2015,"6/30/1987" ,"Release Date:","10/31/2016" ,"Next Release Date:","9/29/2017" ,"Excel File Name:","pet_pnp_dwns_dc_nus_mbblpd_a.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pnp_dwns_dc_nus_mbblpd_a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202)

  2. Energy Input and Quality of Pellets Made from Steam-Exploded Douglas Fir (Pseudotsuga menziesii)

    SciTech Connect (OSTI)

    Sokhansanj, Shahabaddine; Bi, X.T.; Lim, C. Jim; Melin, Staffan

    2011-01-01

    Ground softwood Douglas fir (Pseudotsuga menziesii) was treated with pressurized saturated steam at 200-220 C (1.6-2.4 MPa) for 5-10 min in a sealed container. The contents of the container were released to the atmosphere for a sudden decompression. The steam-exploded wood particles were dried to 10% moisture content and pelletized in a single-piston-cylinder system. The pellets were characterized for their mechanical strength, chemical composition, and moisture sorption. The steamtreated wood required 12-81% more energy to compact into pellets than the untreated wood. Pellets made from steam-treated wood had a breaking strength 1.4-3.3 times the strength of pellets made from untreated wood. Steam-treated pellets had a reduced equilibrium moisture content of 2-4% and a reduced expansion after pelletization. There was a slight increase in the high heating value from 18.94 to 20.09 MJ/kg for the treated samples. Steam-treated pellets exhibited a higher lengthwise rigidity compared to untreated pellets.

  3. DOE seeks public input on scope of environmental review for the...

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

    13, 2008 DOE Assistant Secretary Dennis Spurgeon Click here to enlarge DOE Assistant Secretary Dennis Spurgeon Click on image to enlarge DOE Assistant Secretary Dennis Spurgeon ...

  4. DOE seeks public input on scope of environmental review for the...

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

    January 8, 2008 WIPP Receives 100th Remote-Handled Waste Shipment CARLSBAD, N.M., January 5, 2008 - Less than a year ago, the Waste Isolation Pilot Plant (WIPP) received its first ...

  5. CASL-U-2015-0043-000 MPACT VERA Common Input User's Manual

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

    * Prof. Edward Larsen (UM) * Dr. Yuxuan Liu (UM) * Prof. William R. Martin (UM) * Dr. Scott Palmtag (ORNL) * Michael Rose (UM) * Thomas Saller (UM) * Dr. Shane Stimpson (UM) *...

  6. Appendix D: Solar Energy Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  7. Appendix I: Federal Energy Management Program (FEMP) inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  8. Appendix J: Weatherization and Intergovernmental Program (WIP) inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  9. Thermal input control and enhancement for laser based residual stress measurements using liquid temperature indicating coatings

    DOE Patents [OSTI]

    Pechersky, Martin J.

    1999-01-01

    An improved method for measuring residual stress in a material comprising the steps of applying a spot of temperature indicating coating to the surface to be studied, establishing a speckle pattern surrounds the spot of coating with a first laser then heating the spot of coating with a far infrared laser until the surface plastically deforms. Comparing the speckle patterns before and after deformation by subtracting one pattern from the other will produce a fringe pattern that serves as a visual and quantitative indication of the degree to which the plasticized surface responded to the stress during heating and enables calculation of the stress.

  10. The Tri-Party Agencies want your input on proposed changes to...

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

    - 10:00 pm): September 24, 2002 - Yakima, Washington West Coast Yakima Center - Ballroom 607 East Yakima Avenue Yakima, Washington September 26, 2002 - Seattle, Washington...

  11. Energy and crude oil input requirements for the production of reformulated gasolines

    SciTech Connect (OSTI)

    Singh, M.; McNutt, B.

    1993-11-01

    The energy and crude oil requirements for the production of reformulated gasolines (RFG) are estimated. Both the energy and crude oil embodied in the final product and the process energy required to manufacture the RFG and its components are included. The effects on energy and crude oil use of using various oxygenates to meet the minimum oxygen content level required by the Clean Air Act Amendments are evaluated. The analysis illustrates that production of RFG requires more total energy than that of conventional gasoline but uses less crude oil. The energy and crude oil use requirements of the different RFGs vary considerably. For the same emissions performance level, RFG with ethanol requires substantially more total energy and crude oil than RFG with MTBE or ETBE. A specific proposal by the EPA designed to allow the use of ethanol in RFG would increase the total energy required to produce RFG by 2% and the total crude oil required by 2.0 to 2.5% over that for the base RFG with MTBE.

  12. Appendix H: Industrial Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  13. First QER Report Incorporates Tribal Input on U.S. Transmission System Updates

    Energy.gov [DOE]

    The Quadrennial Energy Review (QER) Report, issued in April 2015, makes recommendations pertaining to eight national energy objectives, including increasing the resilience, reliability, safety, and security of (TS&D) infrastructure; modernizing the electric grid; addressing environmental aspects of TS&D infrastructure; enhancing employment and workforce training; and siting and permitting of TS&D infrastructure.

  14. Quadrennial Energy Review 1.2 Stakeholder Input Meeting #7: Atlanta...

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

    of the challenges we are going to speak about on today's panel. ... we're building the largest solar project in the Tampa Bay area, a 23 MW array on 125 acres of company-owned ...

  15. Microsoft PowerPoint - OTT RFI Summary of Input_Public_Oct 2015

    Energy Savers

    Energy FY11 budget rollout 2-1-10 final Microsoft PowerPoint - FY11 budget rollout 2-1-10 final Microsoft PowerPoint - FY11 budget rollout 2-1-10 final (823.93 KB) More Documents & Publications FY 2010 Budget Roll-Out Presentation Department of Energy FY 2007 Budget Microsoft PowerPoint - FY 2007 DOE Budget Rollout--Printer Version.ppt

    Executive Service (SES) Performance Management Training Table of Contents * Overview * Planning Performance * Monitoring and Developing Performance *

  16. Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input

    SciTech Connect (OSTI)

    Augustine, C.

    2011-10-01

    The U.S. Department of Energy (DOE) Geothermal Technologies Program (GTP) tasked the National Renewable Energy Laboratory (NREL) with conducting the annual geothermal supply curve update. This report documents the approach taken to identify geothermal resources, determine the electrical producing potential of these resources, and estimate the levelized cost of electricity (LCOE), capital costs, and operating and maintenance costs from these geothermal resources at present and future timeframes under various GTP funding levels. Finally, this report discusses the resulting supply curve representation and how improvements can be made to future supply curve updates.

  17. Input quality, trade liberalization, and abatement of carbon-dioxide emissions

    SciTech Connect (OSTI)

    Khanna, M.; Zilberman, D.

    1996-12-31

    This paper introduces a methodology to derive the incentives provided by two alternative policies--an emissions tax vs. liberalization of trade in higher quality coal--for increasing conversion-efficiency of electricity generation and for analyzing their impact on carbon emissions as well as on output of electricity. This methodology is applied empirically to examine the potential for abatement of carbon emissions from existing coal-based plants in the thermal power sector in India through the adoption of higher qualities of coal. The paper provides strong empirical support for achieving a complementarity between the goals of abatement and increased output, through policies which remove distortions in domestic and trade policies. It also demonstrates that abatement induced by an emissions-tax alone leads to a conflict between these goals. The authors examine a situation where the availability of higher quality coal is constrained by domestic and trade barriers. The role of coal quality in improving conversion-efficiency is analyzed when microunits are heterogeneous and have putty-clay technologies. The framework developed here juxtaposes engineering relationships governing plant performance and stylized features of electricity-generating technologies with a behavioral economic model.

  18. Appendix E: Wind Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  19. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends...

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

    found in small tractors, chainsaws, hand-held line trimmers, off-road motorcycles, generator sets, small outboards, personal water craft, snowmobiles, and all-terrain vehicles. ...

  20. The Notch ligand Delta-like 1 integrates inputs from TGFbeta/Activin and Wnt pathways

    SciTech Connect (OSTI)

    Bordonaro, Michael Tewari, Shruti Atamna, Wafa Lazarova, Darina L.

    2011-06-10

    Unlike the well-characterized nuclear function of the Notch intracellular domain, it has been difficult to identify a nuclear role for the ligands of Notch. Here we provide evidence for the nuclear function of the Notch ligand Delta-like 1 in colon cancer (CC) cells exposed to butyrate. We demonstrate that the intracellular domain of Delta-like 1 (Dll1icd) augments the activity of Wnt signaling-dependent reporters and that of the promoter of the connective tissue growth factor (CTGF) gene. Data suggest that Dll1icd upregulates CTGF promoter activity through both direct and indirect mechanisms. The direct mechanism is supported by co-immunoprecipitation of endogenous Smad2/3 proteins and Dll1 and by chromatin immunoprecipitation analyses that revealed the occupancy of Dll1icd on CTGF promoter sequences containing a Smad binding element. The indirect upregulation of CTGF expression by Dll1 is likely due to the ability of Dll1icd to increase Wnt signaling, a pathway that targets CTGF. CTGF expression is induced in butyrate-treated CC cells and results from clonal growth assays support a role for CTGF in the cell growth-suppressive role of butyrate. In conclusion, integration of the Notch, Wnt, and TGFbeta/Activin signaling pathways is in part mediated by the interactions of Dll1 with Smad2/3 and Tcf4.

  1. U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1980 17,000 16,000 16,000 12,000 11,000 10,000 10,000 10,000 10,000 12,000 14,000 16,000 1981 20,000 17,000 17,000 14,000 13,000 12,000 12,000 12,000 12,000 14,000 15,000 19,000 1982 19,000 16,000 15,000 12,000 9,000 9,000 9,000 9,000 9,000 11,000 13,000 14,000 1983 15,587 11,990 11,990 9,592 8,393 8,393 8,393 9,592 9,592 9,592 13,189 15,587 1984 12,997 9,998 9,998 7,998 6,999 6,999 6,999 7,998 7,998 7,998 10,998 12,997 1985 12,734 8,816 7,836

  2. Ion Selective Ceramics for Waste Separations. Input for Annual Accomplishments Report

    SciTech Connect (OSTI)

    Spoerke, Erik David

    2015-10-01

    This report discusses“Ion-Selective Ceramics for Waste Separations” which aims to develop an electrochemical approach to remove fission product waste (e.g., Cs+ ) from the LiCl-KCl molten salts used in the pyroprocessing of spent nuclear fuel.

  3. Stanford’s input to the Commission to Review the Effectiveness of the National Energy Laboratories

    Energy.gov [DOE]

    Presented to the Commission to Review the Effectiveness of the National Energy Laboratories by Bill Madia.

  4. T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks

    Energy.gov [DOE]

    A potential security vulnerability has been identified in HP Diagnostics. The vulnerability could be exploited remotely resulting in cross site scripting (XSS).

  5. Regenerative Fuel Cells: Renewable Energy Storage Devices Based on Neutral Water Input

    SciTech Connect (OSTI)

    2010-09-01

    GRIDS Project: Proton Energy Systems is developing an energy storage device that converts water to hydrogen fuel when excess electricity is available, and then uses hydrogen to generate electricity when energy is needed. The system includes an electrolyzer, which generates and separates hydrogen and oxygen for storage, and a fuel cell which converts the hydrogen and oxygen back to electricity. Traditional systems use acidic membranes, and require expensive materials including platinum and titanium for key parts of the system. In contrast, Proton Energy Systems’ new system will use an inexpensive alkaline membrane and will contain only inexpensive metals such as nickel and stainless steel. If successful, Proton Energy Systems’ system will have similar performance to today’s regenerative fuel cell systems at a fraction of the cost, and can be used to store electricity on the electric grid.

  6. First QER Report Incorporates Tribal Input on U.S. Transmission...

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

    national energy objectives, including increasing the resilience, reliability, safety, and security of TS&D infrastructure; modernizing the electric grid; addressing ...

  7. Database application for input and review of information on analytical measurements

    SciTech Connect (OSTI)

    Narayanan, U.I.; Spaletto, M.I.; Baran, D.T.; Stiffin, A.V.; Dallmann, E.

    1995-03-01

    An Analytical Measurements Information Database Application was developed to give an overall view of the criteria involved in the selection of an analytical measurement technique. This specific database application was developed for the measurement of elemental concentration of uranium. It includes information on many components of each measurement technique and allows easy comparison of different techniques. The integrated data information for the methods contained in this program include the specific technique, expected precision and bias, materials applicability, interferences, analysis time, reagents needed, training time, instrumentation required and its associated costs, and resulting process streams. Process stream information may be used to determine the method of preference based on pollution prevention opportunities. Use of this information also serves as an up-front indication of the types of waste generated when different analytical methods are implemented. Most sites, through pollution prevention programs and departmental mandates, are required to generate annual waste forecasts. The use of the process stream information greatly reduces the difficulty of predicting waste generation rates for different analytical methods, while the accuracy of such predictions is substantially increased.

  8. Lessons Learned in Optimizing Workers' and Worker Representatives' Input in Work Planning and Control

    Energy.gov [DOE]

    Presenter: Tom McQuiston, Dr. P.H., United Steelworkers, Tony Mazzocchi Center for Health, Safety and Environmental Education

  9. Appendix B: Hydrogen, Fuel Cells, and Infrastructure Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  10. Development of NEXRAD Wind Retrievals as Input to Atmospheric Dispersion Models

    SciTech Connect (OSTI)

    Fast, Jerome D.; Newsom, Rob K.; Allwine, K Jerry; Xu, Qin; Zhang, Pengfei; Copeland, Jeffrey H.; Sun, Jenny

    2007-03-06

    The objective of this study is to determine the feasibility that routinely collected data from the Doppler radars can appropriately be used in Atmospheric Dispersion Models (ADMs) for emergency response. We have evaluated the computational efficiency and accuracy of two variational mathematical techniques that derive the u- and v-components of the wind from radial velocities obtained from Doppler radars. A review of the scientific literature indicated that the techniques employ significantly different approaches in applying the variational techniques: 2-D Variational (2DVar), developed by NOAAs (National Oceanic and Atmospheric Administration's) National Severe Storms Laboratory (NSSL) and Variational Doppler Radar Analysis System (VDRAS), developed by the National Center for Atmospheric Research (NCAR). We designed a series of numerical experiments in which both models employed the same horizontal domain and resolution encompassing Oklahoma City for a two-week period during the summer of 2003 so that the computed wind retrievals could be fairly compared. Both models ran faster than real-time on a typical single dual-processor computer, indicating that they could be used to generate wind retrievals in near real-time. 2DVar executed ~2.5 times faster than VDRAS because of its simpler approach.

  11. Appendix G: Building Technologies Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  12. Table A52. Total Inputs of Energy for Heat, Power, and Electricity...

    U.S. Energy Information Administration (EIA) (indexed site)

    ... '1994" "Manufacturing Energy Consumption Survey', and Bureau of the Census, Industry" "Division, data files for the '1994 Annual Survey of Manufactures.'" "Table A53. Total ...

  13. DOE Seeks Public Input on an Integrated, Interagency Pre-Application...

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

    health, safety, and security of communities and the environment while supporting vital economic growth." Following on that Order, the President issued a Memorandum on May 17,...

  14. Oak Ridge’s EM Program Seeks Public Input on Cleanup

    Energy.gov [DOE]

    OAK RIDGE, Tenn. – Oak Ridge's EM office held a public meeting this week to discuss the program’s upcoming budget and cleanup priorities.

  15. PRODUCTION TPBAR INPUTS FOR CORE DESIGNERS TTQP-1-116 Rev 15

    SciTech Connect (OSTI)

    Collins, Brian A.; Love, Edward F.; Thornhill, Cheryl K.

    2012-11-01

    The purpose of this controlled document is to provide a convenient reference for tritiumproducing burnable absorber rod (TPBAR) parameters used by reactor core designers.

  16. This document is to provide input for a probable future state...

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

    coal-fired generation. In addition, natural gas and coal prices will continue to rise, as will the cost of nuclear fuel. And the capital cost for new power plant ...

  17. Role of the nonperturbative input in QCD resummed Drell-Yan Q...

    Office of Scientific and Technical Information (OSTI)

    Collins-Soper-Sterman (CSS) b-space QCD resummation formalism for Drell-Yan transverse momentum (Qsub T) distributions, and investigate the predictive power of the CSS formalism. ...

  18. T-722: IBM WebSphere Commerce Edition Input Validation Holes...

    Energy.gov (indexed) [DOE]

    recently submitted by the target user via web form to the site, or take actions on the ... recently submitted by the target user via web form to the site, or take actions on the ...

  19. FAQs about Storage Capacity

    Annual Energy Outlook

    about Storage Capacity How do I determine if my tanks are in operation or idle or ... Do I have to report storage capacity every month? No, only report storage capacity with ...

  20. Refinery Capacity Report

    Annual Energy Outlook

    Storage Capacity at Operable Refineries by PAD District as of January 1, 2006 PDF 9 Shell Storage Capacity at Operable Refineries by PAD District as of January 1, 2006 PDF 10...

  1. Standard for the qualification of high capacity fossil fuel fired plant operators

    SciTech Connect (OSTI)

    Axtman, W.

    1996-12-31

    The American Society of Mechanical Engineers, at the request of the U.S. Environmental Protection Agency (EPA) and, in recognition of the needs and benefits associated with standard qualifications of operators of high capacity fossil fuel fired plants, established the Qualifications of High Capacity Fossil Fuel Fired Operator (QFO) Committee in 1994. The purpose of the QFO Committee is to develop and maintain such a standard for operators. This standard includes qualifications, duties, responsibilities and the certification requirements for operators as appropriate to The Clean Air Act as amended in 1990 for fossil fuel fired plants with inputs equal to or greater than 10,000 Btu/hr. This Standard does not cover the certification or validation of fossil plant operating procedures, operating practices, facility performance, nor compliance with any particular permit requirement. This standard recognizes the titles or positions to which any particular fossil plant operator may apply, will vary within a facility. Therefore, this standard does not attempt to identify the individual who is required to obtain certification in any class designation. The fossil plant owner is urged to contact the local jurisdiction in which the fossil plant is located in this regard. This standard does not in itself require certification but rather it serves as a means for complying with federal, state, and local regulations which require operators of fossil fuel fired boilers with inputs equal to or greater than 10,000,000 But/hr to be certified. Safety codes and standards are intended to enhance public health and safety. Revisions to this Standard result from committee considerations of factors such as technological advances, new data, and changing environmental and industry needs. Revisions do not imply that previous editions of this standard were inadequate.

  2. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) (indexed site)

    Vacuum State/Refiner/Location Barrels per Atmospheric Crude Oil Distillation Capacity Barrels per Operating Idle Operating Idle Downstream Charge Capacity Thermal Cracking Delayed Fluid Coking Visbreaking Other/Gas Calendar Day Stream Day Distillation Coking Oil Table 3. Capacity of Operable Petroleum Refineries by State as of January 1, 2016 (Barrels per Stream Day, Except Where Noted) ......................................................... Alabama 131,675 0 140,500 0 47,000 32,000 0 0 0

  3. WINDExchange: Potential Wind Capacity

    WindExchange

    Potential Wind Capacity Potential wind capacity maps are provided for a 2014 industry standard wind turbine installed on a 110-m tower, which represents plausible current technology options, and a wind turbine on a 140-m tower, which represents near-future technology options. For more detailed information regarding the assumptions and calculations behind the wind potential capacity maps, see the Energy Department's Enabling Wind Power Nationwide report. Enlarge image This map shows the wind

  4. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) (indexed site)

    6 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels ... Catalytic Cracking Downstream Charge Capacity (Barrels per Stream Day) Cracking Thermal ...

  5. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) (indexed site)

    1 Idle Operating Total Stream Day Barrels per Idle Operating Total Calendar Day Barrels ... Catalytic Cracking Downstream Charge Capacity (Barrels per Stream Day) Cracking Thermal ...

  6. 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...

  7. Natural Gas Underground Storage Capacity (Summary)

    U.S. Energy Information Administration (EIA) (indexed site)

    Salt Caverns Storage Capacity Aquifers Storage Capacity Depleted Fields Storage Capacity Total Working Gas Capacity Working Gas Capacity of Salt Caverns Working Gas Capacity of ...

  8. Variable capacity gasification burner

    SciTech Connect (OSTI)

    Saxon, D.I.

    1985-03-05

    A variable capacity burner that may be used in gasification processes, the burner being adjustable when operating in its intended operating environment to operate at two different flow capacities, with the adjustable parts being dynamically sealed within a statically sealed structural arrangement to prevent dangerous blow-outs of the reactants to the atmosphere.

  9. Liquid heat capacity lasers

    DOE Patents [OSTI]

    Comaskey, Brian J.; Scheibner, Karl F.; Ault, Earl R.

    2007-05-01

    The heat capacity laser concept is extended to systems in which the heat capacity lasing media is a liquid. The laser active liquid is circulated from a reservoir (where the bulk of the media and hence waste heat resides) through a channel so configured for both optical pumping of the media for gain and for light amplification from the resulting gain.

  10. Knudsen heat capacity

    SciTech Connect (OSTI)

    Babac, Gulru; Reese, Jason M.

    2014-05-15

    We present a Knudsen heat capacity as a more appropriate and useful fluid property in micro/nanoscale gas systems than the constant pressure heat capacity. At these scales, different fluid processes come to the fore that are not normally observed at the macroscale. For thermodynamic analyses that include these Knudsen processes, using the Knudsen heat capacity can be more effective and physical. We calculate this heat capacity theoretically for non-ideal monatomic and diatomic gases, in particular, helium, nitrogen, and hydrogen. The quantum modification for para and ortho hydrogen is also considered. We numerically model the Knudsen heat capacity using molecular dynamics simulations for the considered gases, and compare these results with the theoretical ones.

  11. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) (indexed site)

    Table 6. Operable Crude Oil and Downstream Charge Capacity of Petroleum Refineries, January 1, 1987 to (Thousand Barrels per Stream Day, Except Where Noted) January 1, 2016 JAN 1, ...

  12. Refinery Capacity Report

    Reports and Publications

    2016-01-01

    Data series include fuel, electricity, and steam purchased for consumption at the refinery; refinery receipts of crude oil by method of transportation; and current and projected atmospheric crude oil distillation, downstream charge, and production capacities. Respondents are operators of all operating and idle petroleum refineries (including new refineries under construction) and refineries shut down during the previous year, located in the 50 states, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, and other U.S. possessions. The Refinery Capacity Report does not contain working and shell storage capacity data. This data is now being collected twice a year as of March 31 and September 30 on the Form EIA-810, "Monthly Refinery Report", and is now released as a separate report Working and Net Available Shell Storage Capacity.

  13. Forward capacity market CONEfusion

    SciTech Connect (OSTI)

    Wilson, James F.

    2010-11-15

    In ISO New England and PJM it was assumed that sponsors of new capacity projects would offer them into the newly established forward centralized capacity markets at prices based on their levelized net cost of new entry, or ''Net CONE.'' But the FCCMs have not operated in the way their proponents had expected. To clear up the CONEfusion, FCCM designs should be reconsidered to adapt them to the changing circumstances and to be grounded in realistic expectations of market conduct. (author)

  14. Dual capacity reciprocating compressor

    DOE Patents [OSTI]

    Wolfe, Robert W.

    1984-01-01

    A multi-cylinder compressor 10 particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor 16 rotation is provided with an eccentric cam 38 on a crank pin 34 under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180.degree. apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons 24 whose connecting rods 30 ride on a crank pin 36 without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation.

  15. Dual capacity reciprocating compressor

    DOE Patents [OSTI]

    Wolfe, R.W.

    1984-10-30

    A multi-cylinder compressor particularly useful in connection with northern climate heat pumps and in which different capacities are available in accordance with reversing motor rotation is provided with an eccentric cam on a crank pin under a fraction of the connecting rods, and arranged for rotation upon the crank pin between opposite positions 180[degree] apart so that with cam rotation on the crank pin such that the crank throw is at its normal maximum value all pistons pump at full capacity, and with rotation of the crank shaft in the opposite direction the cam moves to a circumferential position on the crank pin such that the overall crank throw is zero. Pistons whose connecting rods ride on a crank pin without a cam pump their normal rate with either crank rotational direction. Thus a small clearance volume is provided for any piston that moves when in either capacity mode of operation. 6 figs.

  16. Geothermal Plant Capacity Factors

    SciTech Connect (OSTI)

    Greg Mines; Jay Nathwani; Christopher Richard; Hillary Hanson; Rachel Wood

    2015-01-01

    The capacity factors recently provided by the Energy Information Administration (EIA) indicated this plant performance metric had declined for geothermal power plants since 2008. Though capacity factor is a term commonly used by geothermal stakeholders to express the ability of a plant to produce power, it is a term frequently misunderstood and in some instances incorrectly used. In this paper we discuss how this capacity factor is defined and utilized by the EIA, including discussion on the information that the EIA requests from operations in their 923 and 860 forms that are submitted both monthly and annually by geothermal operators. A discussion is also provided regarding the entities utilizing the information in the EIA reports, and how those entities can misinterpret the data being supplied by the operators. The intent of the paper is to inform the facility operators as the importance of the accuracy of the data that they provide, and the implications of not providing the correct information.

  17. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) (indexed site)

    District and State Production Capacity Alkylates Aromatics Asphalt and Road Oil Isomers Lubricants Marketable Petroleum Coke Sulfur (short tons/day) Hydrogen (MMcfd) Table 2. Production Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2016 (Barrels per Stream Day, Except Where Noted) a 83,429 10,111 26,500 92,765 21,045 21,120 69 1,159 PAD District I Delaware 11,729 5,191 0 6,000 0 13,620 40 596 New Jersey 29,200 0 70,000 4,000 12,000 7,500 26 280 Pennsylvania

  18. Refinery Capacity Report

    U.S. Energy Information Administration (EIA) (indexed site)

    Alkylates Aromatics Road Oil and Lubricants Petroleum Coke (MMcfd) Hydrogen Sulfur (short tons/day) Production Capacity Asphalt Isomers Marketable Table 7. Operable Production Capacity of Petroleum Refineries, January 1, 1987 to January 1, 2016 (Thousand Barrels per Stream Day, Except Where Noted) a JAN 1, 1987 974 287 788 326 250 364 2,569 23,806 JAN 1, 1988 993 289 788 465 232 368 2,418 27,639 JAN 1, 1989 1,015 290 823 469 230 333 2,501 28,369 JAN 1, 1990 1,030 290 844 456 232 341 2,607 24,202

  19. EIA - Electricity Generating Capacity

    U.S. Energy Information Administration (EIA) (indexed site)

    Electricity Glossary › FAQS › Overview Data Electricity Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers Generation and thermal output Capacity of electric power plants Consumption of fuels used to generate electricity Receipts of fossil-fuels for electricity generation Average cost of fossil-fuels for electricity generation Fossil-fuel stocks for electricity generation Cost, revenue and expense statistics for...

  20. Working Gas Capacity

    U.S. Energy Information Administration (EIA) (indexed site)

    5 2015 Working Gas Capacity (billion cubic feet) ≥ 100 75 to 99 U.S. Energy Information Administration | Natural Gas Annual Figure 15. Locations of existing natural gas underground storage fields in the United States, 2015 50 to 74 Source: Energy Information Administration (EIA), Form EIA-191, "Monthly Underground Gas Storage Report." Reservoir Type Sites = Depleted Field 329 = Salt Cav