National Library of Energy BETA

Sample records for absolute percent errors

  1. Variable Average Absolute Percent Differences

    U.S. Energy Information Administration (EIA) Indexed Site

    Variable Average Absolute Percent Differences Percent of Projections Over- Estimated Gross Domestic Product Real Gross Domestic Product (Average Cumulative Growth)* (Table 2) 0.9 45.8 Petroleum Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a) 37.7 17.3 Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b) 36.6 18.7 Total Petroleum Consumption (Table 4) 7.9 70.7 Crude Oil Production (Table 5) 8.1 51.1 Petroleum Net Imports (Table 6) 24.7 73.8 Natural Gas

  2. "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated"

    U.S. Energy Information Administration (EIA) Indexed Site

    Annual Energy Outlook Retrospective Review, 2014" "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated" "Gross Domestic Product" "Real Gross Domestic Product (Average Cumulative Growth)* (Table 2)",0.9204312786,45.77777778 "Petroleum" "Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a)",37.71300779,17.33333333 "Imported Refiner Acquisition Cost of Crude Oil

  3. Absolute calibration of optical flats

    DOE Patents [OSTI]

    Sommargren, Gary E.

    2005-04-05

    The invention uses the phase shifting diffraction interferometer (PSDI) to provide a true point-by-point measurement of absolute flatness over the surface of optical flats. Beams exiting the fiber optics in a PSDI have perfect spherical wavefronts. The measurement beam is reflected from the optical flat and passed through an auxiliary optic to then be combined with the reference beam on a CCD. The combined beams include phase errors due to both the optic under test and the auxiliary optic. Standard phase extraction algorithms are used to calculate this combined phase error. The optical flat is then removed from the system and the measurement fiber is moved to recombine the two beams. The newly combined beams include only the phase errors due to the auxiliary optic. When the second phase measurement is subtracted from the first phase measurement, the absolute phase error of the optical flat is obtained.

  4. Absolute nuclear material assay

    DOE Patents [OSTI]

    Prasad, Manoj K.; Snyderman, Neal J.; Rowland, Mark S.

    2012-05-15

    A method of absolute nuclear material assay of an unknown source comprising counting neutrons from the unknown source and providing an absolute nuclear material assay utilizing a model to optimally compare to the measured count distributions. In one embodiment, the step of providing an absolute nuclear material assay comprises utilizing a random sampling of analytically computed fission chain distributions to generate a continuous time-evolving sequence of event-counts by spreading the fission chain distribution in time.

  5. Absolute nuclear material assay

    DOE Patents [OSTI]

    Prasad, Manoj K.; Snyderman, Neal J.; Rowland, Mark S.

    2010-07-13

    A method of absolute nuclear material assay of an unknown source comprising counting neutrons from the unknown source and providing an absolute nuclear material assay utilizing a model to optimally compare to the measured count distributions. In one embodiment, the step of providing an absolute nuclear material assay comprises utilizing a random sampling of analytically computed fission chain distributions to generate a continuous time-evolving sequence of event-counts by spreading the fission chain distribution in time.

  6. Error abstractions

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Error and fault abstractions Mattan Erez UT Austin *Who should care about faults and errors? *Ideally, only system cares about masked faults? - Assuming application bugs are not...

  7. The absolute path command

    Energy Science and Technology Software Center (OSTI)

    2012-05-11

    The ap command traveres all symlinks in a given file, directory, or executable name to identify the final absolute path. It can print just the final path, each intermediate link along with the symlink chan, and the permissions and ownership of each directory component in the final path. It has functionality similar to "which", except that it shows the final path instead of the first path. It is also similar to "pwd", but it canmore » provide the absolute path to a relative directory from the current working directory.« less

  8. Norwich Public Utilities- Zero Percent Financing Program

    Broader source: Energy.gov [DOE]

    In partnership with several local banks, Norwich Public Utilities (NPU) is offering a zero percent loan to commercial and industrial customers for eligible energy efficiency improvement projects....

  9. Measurement of the absolute \

    SciTech Connect (OSTI)

    Aunion, Jose Luis Alcaraz; /Barcelona, IFAE

    2010-07-01

    This thesis presents the measurement of the charged current quasi-elastic (CCQE) neutrino-nucleon cross section at neutrino energies around 1 GeV. This measurement has two main physical motivations. On one hand, the neutrino-nucleon interactions at few GeV is a region where existing old data are sparse and with low statistics. The current measurement populates low energy regions with higher statistics and precision than previous experiments. On the other hand, the CCQE interaction is the most useful interaction in neutrino oscillation experiments. The CCQE channel is used to measure the initial and final neutrino fluxes in order to determine the neutrino fraction that disappeared. The neutrino oscillation experiments work at low neutrino energies, so precise measurement of CCQE interactions are essential for flux measurements. The main goal of this thesis is to measure the CCQE absolute neutrino cross section from the SciBooNE data. The SciBar Booster Neutrino Experiment (SciBooNE) is a neutrino and anti-neutrino scattering off experiment. The neutrino energy spectrum works at energies around 1 GeV. SciBooNE was running from June 8th 2007 to August 18th 2008. In that period, the experiment collected a total of 2.65 x 10{sup 20} protons on target (POT). This thesis has used full data collection in neutrino mode 0.99 x 10{sup 20} POT. A CCQE selection cut has been performed, achieving around 70% pure CCQE sample. A fit method has been exclusively developed to determine the absolute CCQE cross section, presenting results in a neutrino energy range from 0.2 to 2 GeV. The results are compatible with the NEUT predictions. The SciBooNE measurement has been compared with both Carbon (MiniBoonE) and deuterium (ANL and BNL) target experiments, showing a good agreement in both cases.

  10. Million Cu. Feet Percent of National Total

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    8 Minnesota - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet ... Summary statistics for natural gas - Minnesota, 2010-2014 2010 2011 2012 2013 2014 ...

  11. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    2 Alaska - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 269 277 185 R 159 170 Production (million cubic feet) Gross Withdrawals From Gas Wells 127,417 112,268

  12. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    6 District of Columbia - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells

  13. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    4 Massachusetts - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0

  14. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    50 North Dakota - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 188 239 211 200 200 Production (million cubic feet) Gross Withdrawals From Gas Wells

  15. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    6 Washington - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S49. Summary statistics for natural gas - Washington, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil

  16. EIA - Sorry! Unexpected Error

    U.S. Energy Information Administration (EIA) Indexed Site

    Cold Fusion Error Unexpected Error Sorry An error was encountered. This error could be due to scheduled maintenance. Information about the error has been routed to the appropriate...

  17. District of Columbia Natural Gas Percent Sold to The Commercial...

    U.S. Energy Information Administration (EIA) Indexed Site

    by Local Distribution Companies (Percent) District of Columbia Natural Gas Percent Sold to The Commercial Sectors by Local Distribution Companies (Percent) Decade Year-0 ...

  18. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    0 Alabama - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S1. Summary statistics for natural gas - Alabama, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 7,026 7,063 6,327 R 6,165 6,118 Production (million cubic feet) Gross Withdrawals From Gas Wells

  19. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    0 Colorado - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 28,813 30,101 32,000 R 32,468 38,346 Production (million cubic feet) Gross Withdrawals From Gas

  20. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    8 Florida - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S10. Summary statistics for natural gas - Florida, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 17,182 16,459 19,742

  1. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    4 Hawaii - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S13. Summary statistics for natural gas - Hawaii, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0

  2. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    6 Idaho - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S14. Summary statistics for natural gas - Idaho, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0

  3. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    4 Kansas - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S18. Summary statistics for natural gas - Kansas, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 22,145 25,758 24,697 R 23,792 24,354 Production (million cubic feet) Gross Withdrawals From Gas Wells

  4. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    8 Louisiana - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S20. Summary statistics for natural gas - Louisiana, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 19,137 21,235 19,792 R 19,528 19,251 Production (million cubic feet) Gross Withdrawals From Gas

  5. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    4 New Mexico - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 44,748 32,302 28,206 R 27,073 27,957 Production (million cubic feet) Gross Withdrawals From

  6. Million Cu. Feet Percent of National Total

    U.S. Energy Information Administration (EIA) Indexed Site

    6 Oregon - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 26 24 27 R 26 28 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,407 1,344 770 770

  7. Error Page

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    script writes out the header html. We are sorry to report that an error has occurred. Internal identifier for doc type not found. Return to RevCom | Return to Web Portal Need help? Email Technical Support. This site managed by the Office of Management / US Department of Energy Directives | Regulations | Technical Standards | Reference Library | DOE Forms | About Us | Privacy & Security Notice This script breaks up the email address to avoid spam

  8. EIA - Sorry! Unexpected Error

    Gasoline and Diesel Fuel Update (EIA)

    Error Sorry An error was encountered. This error could be due to scheduled maintenance. Information about the error has been routed to the appropriate person. Please try...

  9. Percent of Industrial Natural Gas Deliveries in New Mexico Represented...

    U.S. Energy Information Administration (EIA) Indexed Site

    Mexico Represented by the Price (Percent) Percent of Industrial Natural Gas Deliveries in New Mexico Represented by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct ...

  10. Federal Government Increases Renewable Energy Use Over 1000 Percent...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal...

  11. Errors of Nonobservation

    U.S. Energy Information Administration (EIA) Indexed Site

    Errors of Nonobservation Finally, several potential sources of nonsampling error and bias result from errors of nonobservation. The 1994 MECS represents, in terms of sampling...

  12. Absolute Energy USA | Open Energy Information

    Open Energy Info (EERE)

    USA Jump to: navigation, search Name: Absolute Energy (USA) Place: St. Ansgar, Iowa Zip: 50472 Product: Absolute Energy has built a 100 million gallon per year ethanol plant on the...

  13. Absolut Energy Capital | Open Energy Information

    Open Energy Info (EERE)

    Absolut Energy Capital Jump to: navigation, search Name: Absolut Energy Capital Place: London, England, United Kingdom Zip: W1H - 6HN Sector: Renewable Energy Product: London-based...

  14. New Mexico Natural Gas % of Total Residential Deliveries (Percent...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    % of Total Residential Deliveries (Percent) New Mexico Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  15. Connecticut Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Connecticut Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  16. Maine Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Maine Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  17. Virginia Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Virginia Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  18. Washington Natural Gas % of Total Residential Deliveries (Percent...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    % of Total Residential Deliveries (Percent) Washington Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  19. Waste Isolation Pilot Plant Contractor Receives 86 Percent of...

    Office of Environmental Management (EM)

    Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee April 27, 2016 - 12:20pm ...

  20. Kansas Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Kansas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  1. Arizona Natural Gas % of Total Residential Deliveries (Percent...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    % of Total Residential Deliveries (Percent) Arizona Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  2. Federal Government Increases Renewable Energy Use Over 1000 Percent since

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    1999; Exceeds Goal | Department of Energy Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal Federal Government Increases Renewable Energy Use Over 1000 Percent since 1999; Exceeds Goal November 3, 2005 - 12:35pm Addthis WASHINGTON, DC - The Department of Energy (DOE) announced today that the federal government has exceeded its goal of obtaining 2.5 percent of its electricity needs from renewable energy sources by September 30, 2005. The largest energy

  3. Dismantlements of Nuclear Weapons Jump 50 Percent | National...

    National Nuclear Security Administration (NNSA)

    Dismantlements of Nuclear Weapons Jump 50 Percent June 07, 2007 WASHINGTON, D.C. -- Meeting President Bush's directive to reduce the country's nuclear arsenal, the Department of ...

  4. Nuclear Weapons Dismantlement Rate Up 146 Percent | National...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nuclear Weapons Dismantlement Rate Up 146 Percent October 01, 2007 WASHINGTON, D.C. -- The United States significantly increased its rate of dismantled nuclear weapons during ...

  5. Minnesota Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    Minnesota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 ... Share of Total U.S. Natural Gas Residential Deliveries Minnesota Share of Total U.S. ...

  6. PERCENT FEDERAL LAND FOR OIL/GAS FIELD OUTLINES

    U.S. Energy Information Administration (EIA) Indexed Site

    The VBA code below calculates the area percent of a first polygon layer (e.g. oilgas field outlines) that are within a second polygon layer (e.g. federal land) and writes out the ...

  7. California Natural Gas % of Total Residential Deliveries (Percent...

    Gasoline and Diesel Fuel Update (EIA)

    California Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 ... Share of Total U.S. Natural Gas Residential Deliveries California Share of Total U.S. ...

  8. Table 2. Percent of Households with Vehicles, Selected Survey...

    U.S. Energy Information Administration (EIA) Indexed Site

    Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08...

  9. ARM - Field Campaign - Absolute Solar Transmittance Interferometer...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govCampaignsAbsolute Solar Transmittance Interferometer (ASTI) ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at ...

  10. Absolute Energy Capital | Open Energy Information

    Open Energy Info (EERE)

    Capital Jump to: navigation, search Name: Absolute Energy Capital Place: London, United Kingdom Zip: SW1Y 5NQ Product: London-based private equity firm. Coordinates: 51.506325,...

  11. Arizona - Natural Gas 2014 Million Cu. Feet Percent of

    U.S. Energy Information Administration (EIA) Indexed Site

    4 Arizona - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S3. Summary statistics for natural gas - Arizona, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 5 5 5 5 5 Production (million cubic feet) Gross Withdrawals From Gas Wells 183 168 117 72 106 From

  12. Error detection method

    DOE Patents [OSTI]

    Olson, Eric J.

    2013-06-11

    An apparatus, program product, and method that run an algorithm on a hardware based processor, generate a hardware error as a result of running the algorithm, generate an algorithm output for the algorithm, compare the algorithm output to another output for the algorithm, and detect the hardware error from the comparison. The algorithm is designed to cause the hardware based processor to heat to a degree that increases the likelihood of hardware errors to manifest, and the hardware error is observable in the algorithm output. As such, electronic components may be sufficiently heated and/or sufficiently stressed to create better conditions for generating hardware errors, and the output of the algorithm may be compared at the end of the run to detect a hardware error that occurred anywhere during the run that may otherwise not be detected by traditional methodologies (e.g., due to cooling, insufficient heat and/or stress, etc.).

  13. Organic Solar Cells: Absolute Measurement of Domain Composition...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Organic Solar Cells: Absolute Measurement of Domain Composition and Nanoscale Size Distribution Explains Performance in Solar Cells Organic Solar Cells: Absolute Measurement of...

  14. U.S. Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Deliveries (Percent) U.S. Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 100 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100 100 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Share of Total U.S. Natural Gas

  15. BOSS Measures the Universe to One-Percent Accuracy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    BNL

    BOSS Measures the Universe to One-Percent Accuracy BOSS Measures the Universe to One-Percent Accuracy The Baryon Oscillation Spectroscopic Survey makes the most precise calibration yet of the universe's "standard ruler" January 8, 2014 Contact: Paul Preuss, Paul_Preuss@lbl.gov , +1 415-272-3253 BOSS-BAOv1.jpg Baryon acoustic oscillations (gray spheres), which descend from waves of increased density in the very early universe, are where galaxies have a tendency to cluster or

  16. Los Alamos reduces water use by 26 percent in 2014

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Los Alamos reduces water use Los Alamos reduces water use by 26 percent in 2014 The Lab decreased its water usage by 26 percent, with about one-third of the reduction attributable to using reclaimed water to cool a supercomputing center. March 16, 2015 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and

  17. Absolute Cavity Pyrgeometer to Measure the Absolute Outdoor Longwave Irradiance with Traceability to International System of Units, SI

    SciTech Connect (OSTI)

    Reda, I.; Zeng, J.; Scheuch, J.; Hanssen, L.; Wilthan, B.; Myers, D.; Stoffel, T.

    2012-03-01

    This article describes a method of measuring the absolute outdoor longwave irradiance using an absolute cavity pyrgeometer (ACP), U.S. Patent application no. 13/049, 275. The ACP consists of domeless thermopile pyrgeometer, gold-plated concentrator, temperature controller, and data acquisition. The dome was removed from the pyrgeometer to remove errors associated with dome transmittance and the dome correction factor. To avoid thermal convection and wind effect errors resulting from using a domeless thermopile, the gold-plated concentrator was placed above the thermopile. The concentrator is a dual compound parabolic concentrator (CPC) with 180{sup o} view angle to measure the outdoor incoming longwave irradiance from the atmosphere. The incoming irradiance is reflected from the specular gold surface of the CPC and concentrated on the 11 mm diameter of the pyrgeometer's blackened thermopile. The CPC's interior surface design and the resulting cavitation result in a throughput value that was characterized by the National Institute of Standards and Technology. The ACP was installed horizontally outdoor on an aluminum plate connected to the temperature controller to control the pyrgeometer's case temperature. The responsivity of the pyrgeometer's thermopile detector was determined by lowering the case temperature and calculating the rate of change of the thermopile output voltage versus the changing net irradiance. The responsivity is then used to calculate the absolute atmospheric longwave irradiance with an uncertainty estimate (U{sub 95}) of {+-}3.96 W m{sup 02} with traceability to the International System of Units, SI. The measured irradiance was compared with the irradiance measured by two pyrgeometers calibrated by the World Radiation Center with traceability to the Interim World Infrared Standard Group, WISG. A total of 408 readings were collected over three different nights. The calculated irradiance measured by the ACP was 1.5 W/m{sup 2} lower than that measured by the two pyrgeometers that are traceable to WISG, with a standard deviation of {+-}0.7 W m{sup -2}. These results suggest that the ACP design might be used for addressing the need to improve the international reference for broadband outdoor longwave irradiance measurements.

  18. Alaska Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    % of Total Residential Deliveries (Percent) Alaska Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.28 0.31 0.31 0.31 0.30 0.35 0.37 2000's 0.32 0.35 0.33 0.33 0.37 0.37 0.47 0.42 0.44 0.42 2010's 0.39 0.43 0.52 0.39 0.35 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  19. Hawaii Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,056 1,055 1,057 1,043 983 983 983 983 983 983 983 983 2014 947 946 947 947 947 947 951 978 990 968 974 962 2015 968 954 947 959 990 1,005 1,011 965 989 996 996 997 2016 998 1,004

    % of Total Residential Deliveries (Percent) Hawaii Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.01 0.01 0.01 0.01 0.01 0.01 0.01 2000's 0.01 0.01 0.01

  20. Idaho Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,015 1,015 1,031 1,021 1,010 997 988 994 1,001 1,026 1,034 1,054 2014 1,048 1,036 1,030 1,022 1,006 993 984 996 1,005 1,019 1,046 1,039 2015 1,047 1,037 1,030 1,023 1,000 1,010 1,034 1,028 1,024 1,033 1,035 1,041 2016 1,034 1,038

    % of Total Residential Deliveries (Percent) Idaho Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.25

  1. Alabama Natural Gas % of Total Electric Utility Deliveries (Percent)

    U.S. Energy Information Administration (EIA) Indexed Site

    Electric Utility Deliveries (Percent) Alabama Natural Gas % of Total Electric Utility Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.17 0.13 0.23 0.23 0.29 0.60 0.53 2000's 0.81 1.29 1.98 1.68 2.14 1.79 2.34 2.57 2.46 3.30 2010's 3.81 4.53 4.40 4.08 4.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  2. Alabama Natural Gas % of Total Residential Deliveries (Percent)

    U.S. Energy Information Administration (EIA) Indexed Site

    Residential Deliveries (Percent) Alabama Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.04 1.03 1.02 1.08 0.97 1.03 0.90 2000's 0.95 1.03 0.95 0.92 0.90 0.87 0.87 0.75 0.77 0.75 2010's 0.88 0.78 0.66 0.72 0.77 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  3. Alabama Natural Gas % of Total Vehicle Fuel Deliveries (Percent)

    U.S. Energy Information Administration (EIA) Indexed Site

    Vehicle Fuel Deliveries (Percent) Alabama Natural Gas % of Total Vehicle Fuel Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.44 0.20 0.15 0.08 0.71 0.57 0.57 2000's 0.57 0.52 0.52 0.52 0.52 0.67 0.47 0.36 0.32 0.29 2010's 0.37 0.64 0.64 0.63 0.63 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  4. Alabama Natural Gas Percentage Total Commercial Deliveries (Percent)

    U.S. Energy Information Administration (EIA) Indexed Site

    Commercial Deliveries (Percent) Alabama Natural Gas Percentage Total Commercial Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.90 0.88 0.87 0.92 1.01 0.86 0.91 2000's 0.80 0.87 0.80 0.80 0.85 0.84 0.86 0.78 0.80 0.78 2010's 0.87 0.80 0.74 0.77 0.79 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  5. Alabama Natural Gas Percentage Total Industrial Deliveries (Percent)

    U.S. Energy Information Administration (EIA) Indexed Site

    Industrial Deliveries (Percent) Alabama Natural Gas Percentage Total Industrial Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.28 2.23 2.38 2.27 2.36 2.39 2.53 2000's 2.46 2.11 2.13 2.22 2.25 2.29 2.30 2.26 2.13 2.13 2010's 2.12 2.19 2.38 2.42 2.46 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring

  6. New NREL Research Facility Slashes Energy Use by 66 Percent

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NREL Research Facility Slashes Energy Use by 66 Percent For more information contact: Linda Brown, 275-4097 Golden, Colo., October 3, 1996 -- Americans can look forward to lower utility bills and more comfortable buildings thanks to a new research facility dedicated today at the U.S. Department of Energy's National Renewable Energy Laboratory. Christine Ervin, DOE's assistant secretary for renewable energy and energy efficiency, and U.S. Congressman Dan Schaefer (R.-Colo.) helped dedicate the

  7. Absolute and relative dosimetry for ELIMED

    SciTech Connect (OSTI)

    Cirrone, G. A. P.; Schillaci, F.; Scuderi, V.; Cuttone, G.; Candiano, G.; Musumarra, A.; Pisciotta, P.; Romano, F.; Carpinelli, M.; Presti, D. Lo; Raffaele, L.; Tramontana, A.; Cirio, R.; Sacchi, R.; Monaco, V.; Marchetto, F.; Giordanengo, S.

    2013-07-26

    The definition of detectors, methods and procedures for the absolute and relative dosimetry of laser-driven proton beams is a crucial step toward the clinical use of this new kind of beams. Hence, one of the ELIMED task, will be the definition of procedures aiming to obtain an absolute dose measure at the end of the transport beamline with an accuracy as close as possible to the one required for clinical applications (i.e. of the order of 5% or less). Relative dosimetry procedures must be established, as well: they are necessary in order to determine and verify the beam dose distributions and to monitor the beam fluence and the energetic spectra during irradiations. Radiochromic films, CR39, Faraday Cup, Secondary Emission Monitor (SEM) and transmission ionization chamber will be considered, designed and studied in order to perform a fully dosimetric characterization of the ELIMED proton beam.

  8. runtime error message: "readControlMsg: System returned error...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    readControlMsg: System returned error Connection timed out on TCP socket fd" runtime error message: "readControlMsg: System returned error Connection timed out on TCP socket fd"...

  9. Percent of Commercial Natural Gas Deliveries in California Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.6 77.8 74.5 76.9 48.8 52.1 54.9 50.4 48.7 57.1 2000's 57.1 62.6 68.6 70.3 71.2 68.7 64.7 60.7 56.7 54.9 2010's 54.1 54.3 50.0 49.9 48.4 50.0

  10. Percent of Commercial Natural Gas Deliveries in District of Columbia

    U.S. Energy Information Administration (EIA) Indexed Site

    Represented by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 97.3 99.0 98.0 90.9 76.8 70.5 54.9 52.3 45.9 2000's 35.6 22.4 23.5 30.5 23.3 100.0 100.0 100.0 100.0 100.0 2010's 100.0 16.9 17.9 19.1 19.9 21.4

  11. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 99.1 87.5 98.1 97.9 98.1 98.3 95.9 94.6 93.8 2000's 96.3 96.5 99.0 98.8 98.6 98.6 98.4 98.0 98.4 92.0 2010's 85.9 83.6 78.0 77.7 78.9 79.1

  12. Percent of Commercial Natural Gas Deliveries in Massachusetts Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 99.9 99.8 99.8 97.5 76.2 84.9 74.7 62.6 57.9 59.8 2000's 63.0 62.1 57.4 68.7 71.3 70.5 70.6 65.3 57.9 56.9 2010's 52.1 50.0 48.6 39.4 42.3 NA

  13. Percent of Commercial Natural Gas Deliveries in Mississippi Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.6 95.9 96.4 96.6 96.6 97.0 97.4 94.8 94.8 96.0 2000's 95.6 95.7 96.7 95.9 95.7 95.7 94.9 88.8 90.4 91.0 2010's 90.6 89.8 89.0 89.1 87.5 NA

  14. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 100.0 99.2 96.9 92.4 94.1 93.2 2000's 86.4 86.6 80.6 79.2 74.9 75.7 75.4 71.2 58.9 53.9 2010's 57.3 55.6 51.8 50.2 57.0 58.4

  15. Percent of Commercial Natural Gas Deliveries in North Carolina Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 94.6 95.0 95.9 98.5 96.6 92.4 96.5 94.4 90.6 93.8 2000's 96.5 94.0 90.8 92.2 89.0 87.6 83.2 83.0 84.5 85.2 2010's 84.8 84.4 83.5 84.5 84.9 NA

  16. Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 78.4 77.3 75.8 77.4 74.4 68.4 70.4 63.6 56.8 56.9 2000's 60.5 63.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 48.5 42.1 40.2 41.4 NA

  17. Percent of Commercial Natural Gas Deliveries in South Carolina Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.8 98.2 98.6 99.2 98.5 96.4 99.0 98.8 97.9 97.1 2000's 98.7 97.5 98.5 96.6 96.4 96.2 95.0 94.9 94.9 93.5 2010's 92.7 91.1 90.6 91.7 92.8 91.3

  18. Percent of Commercial Natural Gas Deliveries in Tennessee Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.5 95.7 96.4 95.8 94.1 93.8 94.3 92.2 87.3 88.8 2000's 92.5 93.6 90.9 90.5 92.2 92.2 92.0 91.9 91.7 90.2 2010's 90.8 89.9 88.8 90.0 90.7 88.6

  19. Percent of Commercial Natural Gas Deliveries in Washington Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 93.6 92.2 87.3 93.9 95.4 91.8 85.9 84.1 86.8 89.3 2000's 92.7 94.0 89.8 88.0 88.5 88.8 88.9 89.2 89.0 88.7 2010's 87.8 88.4 87.4 86.8 86.0 85.2

  20. Percent of Commercial Natural Gas Deliveries in West Virginia Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 58.1 54.9 56.9 54.3 55.2 51.6 56.3 54.5 49.5 51.8 2000's 56.6 63.9 57.4 60.2 57.1 58.2 56.0 58.6 53.5 53.6 2010's 51.0 49.2 48.9 52.9 56.7 53.3

  1. Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 90.7 91.0 91.3 94.4 93.5 92.0 91.6 82.1 74.0 79.0 2000's 78.1 77.2 75.9 79.1 79.7 79.0 76.0 75.5 76.8 76.8 2010's 76.2 76.4 74.4 77.7 77.0 NA

  2. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 10.1 9.2 8.5 2000's 10.8 8.3 13.4 13.4 21.6 27.9 28.4 25.9 21.4 18.3 2010's 16.7 13.7 14.7 14.2 11.9

  3. Percent of Industrial Natural Gas Deliveries in Massachusetts Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 33.8 26.2 36.9 2000's 27.3 26.3 20.0 45.4 38.2 36.5 34.4 29.9 20.6 21.1 2010's 19.4 20.6 17.7 18.3 22.3 26.3

  4. Percent of Industrial Natural Gas Deliveries in Mississippi Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 39.6 37.6 26.3 2000's 26.9 28.8 25.9 33.7 34.4 25.2 20.0 15.0 12.2 10.1 2010's 9.6 9.7 9.6 10.6 9.9 9.0

  5. Percent of Industrial Natural Gas Deliveries in New Hampshire Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 48.8 30.7 24.3 2000's 18.1 13.0 12.3 12.0 10.7 10.6 14.6 15.3 17.7 20.6 2010's 12.8 10.7 9.0 7.5 9.2

  6. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 45.5 32.1 47.8 2000's 52.2 30.5 39.2 36.9 29.1 26.4 20.8 21.2 19.1 13.6 2010's 11.6 9.7 8.8 9.2 10.2 10.9

  7. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 14.3 13.1 11.8 2000's 11.8 9.9 7.3 6.6 6.4 7.0 5.5 5.4 5.7 4.5 2010's 3.8 2.0 1.3 1.3 1.2 1.0

  8. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.9 86.7 86.1 2000's 86.5 82.1 87.7 78.5 77.8 77.4 71.4 47.3 47.3 47.6 2010's 46.3 45.4 45.1 45.6 43.6 42.1

  9. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 38.3 33.1 34.7 2000's 38.5 36.2 36.0 39.9 40.5 42.4 38.9 38.2 39.9 38.2 2010's 35.7 29.7 29.4 29.7 30.0 29.6

  10. Percent of Industrial Natural Gas Deliveries in Washington Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 23.5 20.1 24.0 2000's 34.5 38.2 27.4 20.1 17.3 15.8 20.2 17.4 12.9 8.7 2010's 8.3 7.5 7.3 6.7 6.5 NA

  11. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.2 6.3 10.8 2000's 13.8 16.6 12.7 14.0 13.4 17.0 17.0 16.2 19.0 17.4 2010's 14.7 15.6 16.3 18.0 15.6 NA

  12. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 27.1 22.0 20.2 2000's 22.1 19.5 21.4 20.2 18.8 18.1 18.3 18.5 18.3 18.1 2010's 17.4 17.8 17.6 18.8 19.6 NA

  13. Arkansas Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,015 1,016 1,016 1,016 1,017 1,018 1,016 1,016 1,014 1,012 1,012 1,015 2014 1,017 1,015 1,015 1,018 1,017 1,019 1,021 1,021 1,019 1,018 1,011 1,017 2015 1,021 1,023 1,023 1,025 1,022 1,020 1,023 1,022 1,019 1,029 1,014 1,015 2016 1,019 1,015

    % of Total Residential Deliveries (Percent) Arkansas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  14. Colorado Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,023 1,032 1,030 1,033 1,040 1,051 1,056 1,057 1,058 1,037 1,032 1,033 2014 1,030 1,036 1,038 1,041 1,051 1,050 1,048 1,048 1,050 1,055 1,042 1,051 2015 1,046 1,044 1,051 1,059 1,059 1,070 1,073 1,069 1,076 1,069 1,060 1,051 2016 1,050 1,052

    % of Total Residential Deliveries (Percent) Colorado Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  15. Delaware Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,050 1,049 1,046 1,048 1,041 1,049 1,058 1,054 1,065 1,064 1,067 1,057 2014 1,052 1,048 1,048 1,051 1,045 1,049 1,063 1,065 1,062 1,063 1,063 1,064 2015 1,061 1,061 1,062 1,051 1,055 1,055 1,044 1,044 1,043 1,051 1,051 1,049 2016 1,055

    % of Total Residential Deliveries (Percent) Delaware Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  16. Florida Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,016 1,015 1,016 1,015 1,016 1,015 1,016 1,016 1,017 1,017 1,018 1,018 2014 1,018 1,018 1,018 1,019 1,019 1,019 1,022 1,023 1,024 1,023 1,024 1,025 2015 1,024 1,025 1,024 1,024 1,026 1,026 1,026 1,024 1,024 1,023 1,023 1,023 2016 1,015 1,025

    % of Total Residential Deliveries (Percent) Florida Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  17. Georgia Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,014 1,015 1,016 1,015 1,014 1,015 1,016 1,019 1,017 1,016 1,017 1,017 2014 1,018 1,018 1,018 1,018 1,021 1,022 1,023 1,023 1,027 1,026 1,026 1,025 2015 1,025 1,026 1,025 1,026 1,028 1,031 1,030 1,028 1,029 1,028 1,026 1,027 2016 1,029 1,030

    % of Total Residential Deliveries (Percent) Georgia Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  18. Illinois Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,013 1,014 1,015 1,015 1,014 1,015 1,015 1,016 1,017 1,019 1,018 2014 1,020 1,020 1,020 1,020 1,020 1,020 1,022 1,020 1,021 1,021 1,023 1,024 2015 1,027 1,030 1,029 1,028 1,029 1,027 1,027 1,027 1,028 1,028 1,030 1,030 2016 1,031 1,031

    % of Total Residential Deliveries (Percent) Illinois Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  19. Indiana Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,011 1,012 1,013 1,015 1,019 1,020 1,019 1,021 1,020 1,018 1,015 1,014 2014 1,016 1,017 1,019 1,019 1,023 1,023 1,025 1,030 1,028 1,027 1,025 1,029 2015 1,028 1,029 1,031 1,039 1,037 1,043 1,043 1,044 1,041 1,039 1,034 1,033 2016 1,030 1,033

    % of Total Residential Deliveries (Percent) Indiana Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  20. Iowa Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,025 1,029 1,029 1,030 1,031 1,030 1,030 1,027 1,028 1,032 1,033 1,032 2014 1,034 1,033 1,034 1,036 1,040 1,039 1,043 1,047 1,044 1,046 1,044 1,045 2015 1,045 1,047 1,047 1,051 1,054 1,060 1,059 1,059 1,058 1,058 1,057 1,056 2016 1,053

    % of Total Residential Deliveries (Percent) Iowa Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  1. Kentucky Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,023 1,022 1,023 1,025 1,026 1,027 1,028 1,030 1,031 1,028 1,028 1,033 2014 1,029 1,024 1,026 1,028 1,031 1,037 1,034 1,036 1,038 1,022 1,017 1,019 2015 1,023 1,018 1,015 1,016 1,023 1,021 1,024 1,015 1,020 1,024 1,021 1,024 2016 1,027

    % of Total Residential Deliveries (Percent) Kentucky Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  2. Louisiana Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,015 1,013 1,015 1,015 1,015 1,016 1,016 1,017 1,017 1,016 1,018 1,019 2014 1,017 1,016 1,018 1,021 1,028 1,025 1,029 1,029 1,031 1,034 1,037 1,038 2015 1,030 1,031 1,029 1,029 1,028 1,027 1,028 1,024 1,023 1,023 1,022 1,023 2016 1,024 1,025

    % of Total Residential Deliveries (Percent) Louisiana Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  3. Maryland Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,041 1,037 1,032 1,027 1,037 1,042 1,060 1,056 1,062 1,059 1,061 1,059 2014 1,053 1,048 1,045 1,049 1,047 1,052 1,051 1,051 1,049 1,052 1,057 1,057 2015 1,059 1,061 1,058 1,051 1,058 1,057 1,055 1,049 1,050 1,053 1,049 1,050 2016 1,061

    % of Total Residential Deliveries (Percent) Maryland Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  4. Massachusetts Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,037 1,033 1,032 1,033 1,035 1,032 1,033 1,034 1,036 1,038 1,033 1,030 2014 1,035 1,032 1,031 1,030 1,030 1,031 1,030 1,029 1,029 1,028 1,029 1,028 2015 1,035 1,035 1,030 1,029 1,027 1,027 1,029 1,028 1,027 1,028 1,029 1,030 2016 1,031 1,032

    % of Total Residential Deliveries (Percent) Massachusetts Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  5. Michigan Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,021 1,021 1,022 1,026 1,020 1,022 1,024 1,021 1,019 1,019 1,017 1,019 2014 1,019 1,021 1,021 1,017 1,020 1,019 1,015 1,028 1,022 1,023 1,026 1,029 2015 1,027 1,026 1,030 1,035 1,028 1,033 1,034 1,035 1,036 1,034 1,041 1,040 2016 1,040 1,038

    % of Total Residential Deliveries (Percent) Michigan Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  6. Mississippi Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,013 1,014 1,014 1,015 1,018 1,018 1,021 1,022 1,025 1,020 1,020 2014 1,019 1,014 1,019 1,026 1,030 1,034 1,035 1,036 1,035 1,033 1,035 1,034 2015 1,036 1,033 1,031 1,037 1,032 1,030 1,030 1,029 1,031 1,028 1,029 1,030 2016 1,031 1,032

    % of Total Residential Deliveries (Percent) Mississippi Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  7. Missouri Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,015 1,014 1,014 1,013 1,014 1,013 1,017 1,015 1,016 1,019 1,013 1,014 2014 1,013 1,013 1,014 1,014 1,011 1,016 1,016 1,018 1,017 1,018 1,017 1,017 2015 1,017 1,020 1,025 1,026 1,024 1,026 1,026 1,026 1,026 1,025 1,024 1,023 2016 1,024

    % of Total Residential Deliveries (Percent) Missouri Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  8. Montana Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,044 1,040 1,032 1,034 1,034 1,044 1,048 1,043 1,047 1,041 1,032 1,031 2014 1,034 1,030 1,030 1,027 1,032 1,030 1,038 1,036 1,040 1,031 1,026 1,030 2015 1,028 1,029 1,028 1,021 1,019 1,030 1,031 1,033 1,032 1,032 1,034 1,034 2016 1,033 1,030

    % of Total Residential Deliveries (Percent) Montana Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  9. Nebraska Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,030 1,031 1,032 1,033 1,036 1,035 1,029 1,032 1,038 1,040 1,041 1,036 2014 1,034 1,034 1,037 1,043 1,043 1,047 1,051 1,052 1,050 1,053 1,049 1,052 2015 1,052 1,054 1,053 1,057 1,061 1,063 1,068 1,071 1,068 1,060 1,055 1,053 2016 1,054 1,054

    % of Total Residential Deliveries (Percent) Nebraska Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  10. Nevada Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,037 1,039 1,037 1,034 1,031 1,032 1,031 1,033 1,039 1,032 1,029 1,034 2014 1,033 1,033 1,032 1,034 1,032 1,033 1,033 1,035 1,033 1,036 1,036 1,037 2015 1,040 1,040 1,041 1,043 1,043 1,045 1,044 1,043 1,044 1,043 1,043 1,042 2016 1,043 1,042

    % of Total Residential Deliveries (Percent) Nevada Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  11. New Hampshire Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,033 1,029 1,028 1,029 1,030 1,030 1,027 1,028 1,031 1,033 1,030 1,030 2014 1,037 1,033 1,031 1,031 1,032 1,038 1,033 1,030 1,027 1,028 1,028 1,030 2015 1,037 1,041 1,033 1,029 1,028 1,028 1,027 1,028 1,028 1,029 1,029 1,030 2016 1,035 1,039

    % of Total Residential Deliveries (Percent) New Hampshire Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  12. New Jersey Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,043 1,043 1,043 1,042 1,043 1,046 1,044 1,042 1,045 1,047 1,048 1,050 2014 1,050 1,047 1,045 1,040 1,035 1,037 1,040 1,038 1,039 1,039 1,044 1,045 2015 1,050 1,050 1,050 1,043 1,043 1,043 1,043 1,042 1,041 1,041 1,044 1,044 2016 1,044 1,043

    % of Total Residential Deliveries (Percent) New Jersey Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  13. New York Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,032 1,031 1,031 1,031 1,034 1,035 1,034 1,033 1,034 1,034 1,033 1,032 2014 1,032 1,031 1,032 1,031 1,031 1,031 1,031 1,031 1,031 1,032 1,032 1,033 2015 1,034 1,035 1,034 1,034 1,032 1,032 1,031 1,031 1,032 1,032 1,032 1,033 2016 1,033 1,034

    % of Total Residential Deliveries (Percent) New York Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  14. North Carolina Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,014 1,014 1,012 1,010 1,010 1,010 1,011 1,012 1,012 1,015 1,014 2014 1,016 1,018 1,017 1,015 1,016 1,014 1,017 1,024 1,022 1,025 1,028 1,029 2015 1,030 1,028 1,030 1,035 1,035 1,033 1,038 1,037 1,038 1,040 1,033 1,034 2016 1,034

    % of Total Residential Deliveries (Percent) North Carolina Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  15. North Dakota Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,082 1,093 1,096 1,091 1,068 1,131 1,140 1,077 1,013 1,099 1,112 1,089 2014 1,087 1,084 1,074 1,077 1,083 1,079 1,078 1,106 1,123 1,100 1,105 1,096 2015 1,036 1,078 1,072 1,084 1,084 1,089 1,117 1,095 1,078 1,093 1,097 1,112 2016 1,095 1,095

    % of Total Residential Deliveries (Percent) North Dakota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  16. Ohio Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,034 1,033 1,033 1,035 1,035 1,038 1,037 1,044 1,045 1,044 1,043 1,044 2014 1,044 1,042 1,041 1,050 1,047 1,048 1,053 1,052 1,052 1,054 1,057 1,060 2015 1,065 1,062 1,062 1,073 1,072 1,068 1,069 1,068 1,071 1,071 1,077 1,077 2016 1,073 1,072

    % of Total Residential Deliveries (Percent) Ohio Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  17. Oklahoma Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,040 1,037 1,038 1,039 1,041 1,043 1,044 1,042 1,042 1,044 1,043 1,042 2014 1,036 1,036 1,039 1,037 1,040 1,043 1,042 1,042 1,044 1,043 1,041 1,041 2015 1,042 1,043 1,044 1,045 1,048 1,049 1,050 1,047 1,049 1,049 1,047 1,050 2016 1,049

    % of Total Residential Deliveries (Percent) Oklahoma Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's

  18. Oregon Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,011 1,010 1,012 1,011 1,017 1,020 1,020 1,023 1,021 1,014 1,013 1,013 2014 1,013 1,012 1,010 1,034 1,041 1,044 1,029 1,035 1,033 1,029 1,028 1,028 2015 1,031 1,031 1,032 1,035 1,039 1,042 1,039 1,039 1,038 1,036 1,035 1,036 2016 1,033 1,034

    % of Total Residential Deliveries (Percent) Oregon Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  19. Pennsylvania Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,047 1,046 1,047 1,047 1,047 1,048 1,051 1,048 1,049 1,049 1,054 1,053 2014 1,052 1,050 1,048 1,046 1,044 1,044 1,046 1,046 1,045 1,044 1,049 1,052 2015 1,053 1,054 1,049 1,049 1,050 1,046 1,044 1,044 1,044 1,045 1,046 1,046 2016 1,048 1,045

    % of Total Residential Deliveries (Percent) Pennsylvania Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  20. Rhode Island Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,030 1,030 1,030 1,032 1,034 1,031 1,032 1,032 1,033 1,034 1,031 1,031 2014 1,031 1,032 1,031 1,030 1,028 1,023 1,029 1,029 1,027 1,030 1,029 1,029 2015 1,029 1,029 1,029 1,029 1,028 1,028 1,028 1,028 1,028 1,028 1,028 1,028 2016 1,032 1,027

    % of Total Residential Deliveries (Percent) Rhode Island Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  1. South Carolina Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,021 1,020 1,021 1,019 1,019 1,017 1,019 1,020 1,020 1,020 1,020 1,020 2014 1,022 1,021 1,022 1,022 1,022 1,023 1,022 1,024 1,028 1,027 1,028 1,029 2015 1,030 1,028 1,028 1,029 1,030 1,030 1,031 1,029 1,031 1,031 1,030 1,030 2016 1,031 1,031

    % of Total Residential Deliveries (Percent) South Carolina Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  2. South Dakota Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,028 1,030 1,029 1,028 1,028 1,029 1,031 1,030 1,029 1,031 1,030 1,034 2014 1,034 1,034 1,035 1,036 1,039 1,041 1,039 1,045 1,045 1,049 1,048 1,048 2015 1,048 1,048 1,047 1,051 1,054 1,059 1,062 1,060 1,056 1,053 1,053 1,058 2016 1,060 1,058

    % of Total Residential Deliveries (Percent) South Dakota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  3. Tennessee Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,012 1,016 1,019 1,018 1,021 1,023 1,028 1,028 1,025 1,024 1,022 2014 1,020 1,020 1,021 1,027 1,032 1,031 1,032 1,020 1,024 1,027 1,029 1,028 2015 1,028 1,029 1,029 1,027 1,025 1,025 1,027 1,023 1,025 1,032 1,031 1,034 2016 1,035 1,035

    % of Total Residential Deliveries (Percent) Tennessee Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  4. Texas Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,023 1,024 1,024 1,025 1,027 1,026 1,024 1,025 1,024 1,025 1,024 1,025 2014 1,027 1,022 1,028 1,026 1,029 1,032 1,033 1,036 1,033 1,033 1,031 1,030 2015 1,026 1,028 1,029 1,034 1,036 1,036 1,036 1,035 1,036 1,036 1,033 1,030 2016 1,029 1,028

    % of Total Residential Deliveries (Percent) Texas Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  5. Utah Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,050 1,050 1,049 1,047 1,048 1,048 1,046 1,041 1,044 1,043 1,045 1,044 2014 1,044 1,044 1,045 1,044 1,038 1,036 1,038 1,040 1,040 1,041 1,038 1,037 2015 1,039 1,046 1,047 1,049 1,043 1,043 1,043 1,043 1,042 1,044 1,044 1,046 2016 1,046 1,043

    % of Total Residential Deliveries (Percent) Utah Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  6. Vermont Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,013 1,014 1,016 1,016 1,021 1,016 1,015 1,011 1,012 1,014 1,015 1,014 2014 1,013 1,009 1,015 1,014 1,026 1,031 1,011 1,018 1,015 1,015 1,019 1,021 2015 1,026 1,035 1,027 1,024 1,021 1,021 1,022 1,019 1,020 1,030 1,027 1,027 2016 1,029 1,032

    % of Total Residential Deliveries (Percent) Vermont Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  7. West Virginia Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,071 1,071 1,070 1,083 1,088 1,099 1,099 1,119 1,082 1,097 1,086 1,079 2014 1,073 1,073 1,065 1,111 1,094 1,095 1,099 1,106 1,119 1,082 1,077 1,094 2015 1,097 1,084 1,069 1,103 1,107 1,096 1,099 1,099 1,102 1,090 1,114 1,090 2016 1,092 1,09

    % of Total Residential Deliveries (Percent) West Virginia Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  8. Wisconsin Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,028 1,026 1,025 1,030 1,027 1,026 1,026 1,023 1,026 1,027 1,027 1,027 2014 1,031 1,033 1,035 1,032 1,033 1,032 1,029 1,034 1,034 1,034 1,035 1,038 2015 1,042 1,044 1,040 1,039 1,038 1,040 1,036 1,040 1,034 1,045 1,043 1,044 2016 1,045 1,046

    % of Total Residential Deliveries (Percent) Wisconsin Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8

  9. Wyoming Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,043 1,040 1,041 1,042 1,043 1,045 1,040 1,040 1,041 1,038 1,035 1,030 2014 1,034 1,032 1,030 1,031 1,029 1,026 1,025 1,031 1,031 1,030 1,033 1,036 2015 1,043 1,041 1,042 1,043 1,045 1,045 1,042 1,044 1,041 1,040 1,046 1,054 2016 1,056 1,052

    % of Total Residential Deliveries (Percent) Wyoming Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9

  10. Modular error embedding

    DOE Patents [OSTI]

    Sandford, II, Maxwell T.; Handel, Theodore G.; Ettinger, J. Mark

    1999-01-01

    A method of embedding auxiliary information into the digital representation of host data containing noise in the low-order bits. The method applies to digital data representing analog signals, for example digital images. The method reduces the error introduced by other methods that replace the low-order bits with auxiliary information. By a substantially reverse process, the embedded auxiliary data can be retrieved easily by an authorized user through use of a digital key. The modular error embedding method includes a process to permute the order in which the host data values are processed. The method doubles the amount of auxiliary information that can be added to host data values, in comparison with bit-replacement methods for high bit-rate coding. The invention preserves human perception of the meaning and content of the host data, permitting the addition of auxiliary data in the amount of 50% or greater of the original host data.

  11. AN ACCURATE NEW METHOD OF CALCULATING ABSOLUTE MAGNITUDES AND K-CORRECTIONS APPLIED TO THE SLOAN FILTER SET

    SciTech Connect (OSTI)

    Beare, Richard; Brown, Michael J. I.; Pimbblet, Kevin

    2014-12-20

    We describe an accurate new method for determining absolute magnitudes, and hence also K-corrections, that is simpler than most previous methods, being based on a quadratic function of just one suitably chosen observed color. The method relies on the extensive and accurate new set of 129 empirical galaxy template spectral energy distributions from Brown et al. A key advantage of our method is that we can reliably estimate random errors in computed absolute magnitudes due to galaxy diversity, photometric error and redshift error. We derive K-corrections for the five Sloan Digital Sky Survey filters and provide parameter tables for use by the astronomical community. Using the New York Value-Added Galaxy Catalog, we compare our K-corrections with those from kcorrect. Our K-corrections produce absolute magnitudes that are generally in good agreement with kcorrect. Absolute griz magnitudes differ by less than 0.02 mag and those in the u band by ?0.04 mag. The evolution of rest-frame colors as a function of redshift is better behaved using our method, with relatively few galaxies being assigned anomalously red colors and a tight red sequence being observed across the whole 0.0 < z < 0.5 redshift range.

  12. Verification of unfold error estimates in the unfold operator code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1997-01-01

    Spectral unfolding is an inverse mathematical operation that attempts to obtain spectral source information from a set of response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the unfold operator (UFO) code written at Sandia National Laboratories. In addition to an unfolded spectrum, the UFO code also estimates the unfold uncertainty (error) induced by estimated random uncertainties in the data. In UFO the unfold uncertainty is obtained from the error matrix. This built-in estimate has now been compared to error estimates obtained by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the test problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5{percent} (standard deviation). One hundred random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95{percent} confidence level). A possible 10{percent} bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetermined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-pinch and ion-beam driven hohlraums. {copyright} {ital 1997 American Institute of Physics.}

  13. Table B28. Percent of Floorspace Heated, Number of Buildings and Floorspace, 199

    U.S. Energy Information Administration (EIA) Indexed Site

    8. Percent of Floorspace Heated, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,"Total Floorspace (million square feet)" ,"All Buildings","Not Heated","1 to 50 Percent Heated","51 to 99 Percent Heated","100 Percent Heated","All Buildings","Not Heated","1 to 50 Percent Heated","51 to 99 Percent Heated","100 Percent Heated" "All

  14. Table B29. Percent of Floorspace Cooled, Number of Buildings and Floorspace, 199

    U.S. Energy Information Administration (EIA) Indexed Site

    9. Percent of Floorspace Cooled, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,"Total Floorspace (million square feet)" ,"All Buildings","Not Cooled","1 to 50 Percent Cooled","51 to 99 Percent Cooled","100 Percent Cooled","All Buildings","Not Cooled","1 to 50 Percent Cooled","51 to 99 Percent Cooled","100 Percent Cooled" "All

  15. Table B30. Percent of Floorspace Lit When Open, Number of Buildings and Floorspa

    U.S. Energy Information Administration (EIA) Indexed Site

    0. Percent of Floorspace Lit When Open, Number of Buildings and Floorspace, 1999" ,"Number of Buildings (thousand)",,,,,"Total Floorspace (million square feet)" ,"All Buildings","Not Lita","1 to 50 Percent Lit","51 to 99 Percent Lit","100 Percent Lit","All Buildings","Not Lita","1 to 50 Percent Lit","51 to 99 Percent Lit","100 Percent Lit" "All Buildings

  16. Percent of Commercial Natural Gas Deliveries in California Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.6 95.1 93.0 88.3 94.8 92.8 89.4 87.8 91.0 88.5 90.1 92.2 1990 95.8 81.1 94.4 90.4 90.2 85.6 78.0 82.6 79.1 82.3 85.6 88.3 1991 90.5 88.4 90.2 71.0 82.2 71.0 68.0 85.8 68.0 64.7 69.8 80.3 1992 86.6 65.6 75.7 79.0 63.5 74.5 60.9 64.6 79.7 79.0 76.7 81.4 1993 79.9 82.3 77.6 80.7 76.8 71.4 76.4 70.3 70.6 73.8 75.7 78.8 1994 51.3 47.2 50.6 40.5 47.4 32.2 36.4 46.5 46.0 52.2 57.8 68.2 1995 61.3 58.6 64.7 56.8 50.3

  17. Percent of Commercial Natural Gas Deliveries in Connecticut Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 98.4 90.0 81.6 76.5 74.5 80.4 74.8 85.5 90.8 99.5 1990 100.0 100.0 98.7 95.9 92.3 89.9 87.5 86.9 87.2 91.3 98.3 99.1 1991 99.4 99.4 97.5 92.5 85.9 79.2 76.2 77.1 77.9 85.9 93.0 96.6 1992 97.7 97.2 95.6 94.4 93.6 87.2 95.8 98.8 98.7 97.8 98.2 98.4 1993 97.2 97.7 97.2 98.1 99.4 99.3 88.3 98.4 99.6 100.0 100.0 100.0 1994 89.2 90.7 88.4 88.8 74.2 67.8 62.4 61.1 57.4 68.8 77.9 83.4 1995 86.7 88.1 85.7 81.6

  18. Percent of Commercial Natural Gas Deliveries in District of Columbia

    U.S. Energy Information Administration (EIA) Indexed Site

    Represented by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 92.4 86.7 89.4 90.6 91.1 95.7 99.5 1992 99.6 100.0 100.0 97.4 97.6 100.0 91.4 99.5 99.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 99.8 96.8 88.4 90.1 92.6 95.9 97.1 1994 99.8 99.8 100.0 98.8 95.7 94.4 76.6

  19. Percent of Commercial Natural Gas Deliveries in Louisiana Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 98.5 98.6 98.4 98.5 98.4 97.4 97.6 1992 82.3 87.7 88.7 90.6 90.5 90.1 90.6 90.2 91.1 90.6 81.4 86.4 1993 97.4 97.9 98.1 98.6 98.9 98.9 98.8 98.8 98.8 98.2 97.1 97.5 1994 97.7 98.1 98.1 98.0 98.0 97.9 98.4 97.6 98.1 97.9 97.9 97.5 1995 97.8 98.2

  20. Percent of Commercial Natural Gas Deliveries in Massachusetts Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 99.9 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 99.8 99.8 99.8 99.7 99.7 1991 99.8 99.8 99.9 99.9 99.9 99.8 99.7 99.6 99.6 99.8 99.9 99.9 1992 99.9 99.9 99.8 99.8 99.7 99.8 99.7 99.6 99.6 99.6 99.7 99.8 1993 98.9 98.7 98.5 97.7 96.5 97.7 96.8 89.2 97.5 96.7 96.9 97.8 1994 75.2 78.4 72.5 69.8 69.8 61.2 67.0 86.0 79.7 90.6 81.2 87.1 1995 87.9 89.4 92.0

  1. Percent of Commercial Natural Gas Deliveries in Mississippi Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 97.6 96.0 95.7 95.6 94.5 94.3 93.7 93.5 93.9 94.4 95.2 95.8 1991 96.6 97.0 96.3 95.9 94.5 94.9 94.3 94.6 95.1 94.9 95.5 96.4 1992 96.9 97.3 96.4 96.6 95.2 95.4 95.5 94.8 95.6 95.6 95.9 97.4 1993 97.3 97.3 97.2 97.1 96.1 96.0 96.0 95.7 95.5 95.4 96.1 96.5 1994 97.2 97.6 97.1 96.9 96.1 96.9 97.1 95.1 94.9 94.3 96.2 96.6 1995 96.4 97.4 98.2

  2. Percent of Commercial Natural Gas Deliveries in New Hampshire Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0

  3. Percent of Commercial Natural Gas Deliveries in North Carolina Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.7 98.9 94.9 92.4 89.6 87.7 80.1 84.2 84.4 86.3 97.1 98.1 1990 98.6 98.3 98.0 97.0 89.1 86.3 85.3 85.0 84.7 84.0 98.7 99.1 1991 99.3 99.3 99.0 89.0 87.3 86.1 84.4 86.3 85.0 98.0 99.0 99.3 1992 99.3 99.2 99.2 93.1 88.3 85.8 84.3 86.2 89.2 99.9 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 95.4 95.4 95.2 99.7 89.7 96.1 100.0 1994 100.0 100.0 100.0 95.3 94.0 92.1 91.8 90.4 88.3 88.0 94.1 99.4 1995 95.7 96.0 94.5

  4. Percent of Commercial Natural Gas Deliveries in Pennsylvania Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 89.4 88.9 88.7 87.4 81.7 76.8 79.6 77.2 76.4 80.3 82.9 85.3 1990 85.9 83.6 80.9 80.0 74.0 70.2 68.5 68.3 67.2 69.6 74.9 79.2 1991 82.2 79.4 78.8 77.7 72.1 72.9 70.6 71.6 72.2 72.9 76.4 76.7 1992 77.1 79.6 76.6 75.1 71.8 73.1 68.1 67.2 69.4 74.0 74.1 79.4 1993 80.5 79.7 79.5 78.2 72.1 72.9 72.9 69.7 70.3 76.5 75.9 77.0 1994 79.0 80.2 77.5 73.9 71.6 70.8 67.1 71.4 67.9 62.7 68.7 72.1 1995 75.1 74.4 74.9 71.4 68.7

  5. Percent of Commercial Natural Gas Deliveries in South Carolina Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.5 98.5 98.6 98.3 98.1 98.2 98.1 97.7 97.7 97.8 98.0 97.3 1990 98.6 98.4 98.3 98.1 92.2 97.6 97.6 97.5 97.9 97.3 98.0 98.6 1991 98.7 98.9 98.7 96.9 97.4 97.5 97.3 97.7 97.7 97.4 98.9 98.9 1992 99.1 99.1 98.9 98.6 98.5 95.8 95.5 95.8 97.0 99.7 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 95.1 94.6 100.0 95.3 100.0 100.0 1994 100.0 100.0 100.0 99.7 97.8 98.3 97.0 95.7 95.2 95.6 96.2 99.9 1995 97.8 97.5

  6. Percent of Commercial Natural Gas Deliveries in Tennessee Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.1 98.9 98.9 97.5 96.8 95.9 96.7 95.8 96.9 97.1 97.4 99.1 1990 98.9 98.5 98.7 97.9 95.4 95.4 95.1 95.9 95.1 95.5 96.5 97.5 1991 97.9 94.6 93.6 96.0 94.8 94.3 93.8 93.8 94.0 95.3 97.1 97.8 1992 96.6 97.1 96.8 97.2 93.7 95.8 97.3 90.4 91.6 97.3 97.5 97.4 1993 96.6 96.9 96.6 96.5 97.7 91.3 91.6 91.1 91.4 92.3 94.7 98.9 1994 96.7 98.5 97.9 93.0 90.0 89.4 87.2 87.1 89.3 88.4 91.7 94.4 1995 95.5 95.8 93.4 90.8 89.6

  7. Percent of Commercial Natural Gas Deliveries in Washington Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 95.5 94.8 96.9 93.2 93.0 89.7 87.0 92.6 87.3 93.0 93.6 96.5 1990 96.2 95.9 93.2 92.1 90.9 88.9 88.3 88.4 90.1 91.7 95.7 96.5 1991 97.8 94.9 94.3 93.2 91.2 90.5 88.3 87.2 85.6 85.2 88.7 92.1 1992 92.1 89.0 88.7 85.5 83.5 80.7 78.5 80.3 81.6 83.4 86.8 92.3 1993 93.8 93.2 93.9 93.6 90.8 89.8 90.5 90.4 90.6 94.8 97.4 98.0 1994 97.6 97.6 97.6 97.4 92.1 92.1 92.4 91.7 94.4 93.8 94.1 94.7 1995 94.3 94.0 94.2 92.6 91.8

  8. Percent of Commercial Natural Gas Deliveries in Wisconsin Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.1 94.2 94.5 94.0 92.6 87.7 86.1 84.2 84.2 84.3 91.1 95.0 1990 91.6 91.5 91.9 91.9 90.3 86.5 83.1 82.4 82.6 87.5 90.1 93.3 1991 93.8 92.3 92.9 91.2 88.8 83.8 80.7 84.7 83.6 86.7 91.5 92.1 1992 92.7 92.1 91.6 90.0 85.8 82.3 83.3 84.1 85.2 90.7 93.4 95.1 1993 95.2 96.0 95.3 93.5 92.1 90.8 89.2 88.5 90.0 92.6 95.2 96.0 1994 97.1 97.6 97.4 96.6 91.8 89.9 83.5 87.1 87.8 90.8 94.4 84.4 1995 93.5 94.0 93.2 92.4 90.0

  9. Percent of Industrial Natural Gas Deliveries in Connecticut Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 66.1 48.5 50.9 50.2 58.7 44.3 34.1 58.5 55.7 73.8 58.9 51.8 2002 45.0 47.4 53.0 41.3 52.5 50.1 38.1 49.3 53.9 52.2 49.1 54.2 2003 45.5 42.0 48.4 45.5 43.4 42.2 40.0 38.9 41.2 44.0 55.4 54.2 2004 41.0 40.9 39.5 45.6 43.7 45.0 47.5 44.3 43.7 47.4 46.5 46.2 2005 51.3 45.1 46.1 48.5 45.8 42.9 43.2 42.6 48.1 48.4 49.1 44.9 2006 49.2 48.5 45.1 47.1 50.0 49.0 51.8 49.9 50.5 52.2 42.5 47.8 2007 50.6 50.0 47.4 49.5 51.1

  10. Percent of Industrial Natural Gas Deliveries in Mississippi Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 28.2 32.5 24.3 32.8 25.6 33.3 27.5 30.2 28.5 21.2 31.3 31.1 2002 27.5 29.8 27.4 27.0 23.9 26.2 24.1 25.8 24.2 23.9 26.3 25.2 2003 32.3 39.3 37.3 34.5 31.8 37.2 34.6 32.3 32.7 28.6 27.0 35.7 2004 39.9 36.9 33.0 32.8 29.8 33.8 32.8 33.7 36.7 31.0 33.7 38.8 2005 26.7 24.2 23.6 24.4 23.7 22.1 23.2 22.8 42.3 24.8 28.8 23.7 2006 24.7 28.1 24.8 23.5 19.5 19.2 18.1 17.2 16.6 17.5 15.6 18.0 2007 18.4 19.6 17.4 15.6 13.4

  11. Percent of Industrial Natural Gas Deliveries in Tennessee Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 48.0 40.7 40.0 33.7 32.1 29.6 33.1 33.6 35.5 29.3 37.7 38.4 2002 36.3 39.0 44.3 34.8 36.6 33.0 32.5 31.8 33.8 35.5 33.9 38.2 2003 36.7 41.2 40.2 37.2 35.5 33.9 38.7 40.5 42.6 44.0 42.1 46.8 2004 44.2 43.4 42.1 40.5 41.0 36.5 36.4 34.6 37.0 38.3 41.5 47.1 2005 39.9 40.5 44.7 47.3 42.5 39.5 39.5 43.3 42.8 41.5 39.7 46.7 2006 40.9 44.6 40.1 37.3 37.4 39.1 35.5 35.5 34.9 38.2 41.6 39.2 2007 38.8 44.2 40.4 35.4 37.8

  12. Percent of Industrial Natural Gas Deliveries in Washington Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 40.1 37.3 39.3 33.9 31.2 31.0 27.1 35.1 34.9 46.1 46.5 46.1 2002 25.9 28.6 29.4 32.8 30.0 24.4 27.5 20.7 24.7 25.4 31.6 26.9 2003 26.3 26.9 25.5 19.5 18.5 15.1 13.6 15.3 17.5 18.9 18.7 22.2 2004 20.9 21.0 21.4 19.1 15.8 16.0 13.2 17.1 15.0 16.2 14.5 15.6 2005 15.1 14.4 15.2 12.9 11.7 11.7 11.0 15.0 15.5 18.8 20.6 25.3 2006 22.9 22.8 22.6 19.7 19.5 17.8 17.2 16.8 17.1 19.2 21.8 22.3 2007 23.5 22.4 23.2 18.7 16.9

  13. Percent of Industrial Natural Gas Deliveries in Wisconsin Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 25.3 26.6 26.1 18.3 12.5 11.2 12.3 12.4 10.9 15.9 19.9 23.0 2002 25.3 23.6 25.8 21.2 18.5 14.3 11.1 13.3 14.7 20.9 24.7 28.9 2003 27.0 27.3 25.9 18.8 15.3 11.7 10.7 11.7 12.2 17.7 21.3 26.2 2004 26.4 24.1 23.9 19.3 13.5 14.1 12.9 10.4 12.4 17.6 19.6 18.6 2005 21.7 20.9 20.8 15.9 13.4 11.2 12.3 13.2 13.9 16.4 21.9 25.1 2006 21.6 21.7 23.0 13.3 14.1 13.5 11.1 12.3 13.3 18.2 22.8 24.2 2007 22.3 23.7 24.1 17.8 13.6

  14. Percent of Commercial Natural Gas Deliveries in West Virginia Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 68.6 69.0 65.3 63.9 55.0 45.3 39.8 39.5 40.5 49.5 58.6 71.5 1990 72.4 67.8 64.6 60.4 53.8 41.6 34.0 37.7 34.7 38.3 56.1 61.2 1991 64.6 65.8 65.4 54.5 42.1 34.1 31.0 33.9 36.5 45.2 55.6 58.0 1992 65.0 65.9 59.9 63.0 54.5 39.3 35.8 33.6 33.4 48.1 56.8 58.9 1993 60.7 61.3 61.7 60.2 47.5 33.6 30.3 30.6 33.0 46.8 54.9 60.1 1994 67.4 65.2 61.9 58.3 47.8 39.6 29.5 34.3 34.2 41.3 47.5 55.7 1995 55.5 59.5 56.1 50.6 42.2

  15. Percent of Industrial Natural Gas Deliveries in Louisiana Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 8.2 7.6 6.3 8.0 7.2 5.9 9.1 9.6 9.0 8.6 10.0 9.1 2002 13.4 13.3 13.0 13.6 14.3 13.5 12.2 13.1 12.9 12.7 13.4 14.8 2003 12.0 13.2 12.0 13.5 13.7 13.7 11.8 12.8 13.4 14.1 16.3 14.3 2004 14.5 15.7 16.4 22.9 22.7 23.7 23.3 22.9 22.8 23.3 25.2 26.0 2005 26.3 25.9 27.3 27.8 28.6 28.2 27.2 28.9 29.0 28.8 28.8 29.0 2006 29.4 28.6 29.2 26.8 28.8 28.3 28.0 29.5 26.3 25.7 28.6 31.5 2007 29.7 31.7 27.3 28.8 29.9 33.6 23.9 23.8

  16. Percent of Industrial Natural Gas Deliveries in Massachusetts Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 36.9 37.4 48.4 27.7 23.2 18.9 14.1 10.3 18.5 18.6 29.5 21.8 2002 27.5 26.6 23.0 21.7 16.9 14.0 16.5 11.1 9.4 14.8 21.7 28.6 2003 40.7 44.0 44.6 41.6 37.9 36.3 38.9 42.3 35.8 78.7 23.9 36.9 2004 47.9 47.2 45.8 39.9 36.5 34.4 31.3 27.0 23.1 29.2 23.2 40.5 2005 40.9 43.4 42.6 37.2 32.0 29.0 26.8 22.1 22.3 26.9 33.6 40.9 2006 42.4 41.0 40.2 36.9 31.5 28.6 25.2 26.5 26.5 23.7 32.2 31.2 2007 34.8 36.0 37.0 30.2 29.7

  17. Percent of Industrial Natural Gas Deliveries in North Carolina Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 43.8 39.0 34.6 41.8 30.0 28.6 27.2 30.1 21.4 17.7 27.3 30.7 2002 31.5 26.5 28.6 41.0 46.4 45.1 46.2 38.8 46.3 45.1 40.1 38.9 2003 43.9 46.9 48.3 29.8 35.3 34.9 37.5 37.1 35.9 35.9 25.0 28.2 2004 39.9 33.5 26.0 26.6 24.1 36.5 32.4 18.7 25.1 22.5 34.8 27.0 2005 20.8 31.7 23.3 19.2 22.7 20.3 20.8 16.6 38.0 49.2 24.8 30.5 2006 29.4 24.1 25.2 20.4 18.6 17.2 17.3 18.1 16.4 16.9 22.0 22.6 2007 22.2 23.1 25.1 24.0 24.1

  18. Percent of Industrial Natural Gas Deliveries in Pennsylvania Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 17.0 16.4 11.3 10.2 7.7 5.1 7.3 7.5 8.2 8.8 7.3 8.4 2002 8.8 8.3 7.0 5.9 5.7 5.5 4.8 5.0 7.2 7.5 8.1 11.4 2003 8.5 8.5 8.8 7.3 5.7 5.4 5.2 5.0 5.2 5.5 5.9 6.5 2004 7.7 8.1 7.3 6.8 5.3 4.8 4.8 5.1 5.2 4.7 6.5 8.3 2005 8.8 8.4 8.2 7.0 6.1 5.5 5.9 7.1 5.2 5.2 6.7 8.2 2006 8.2 7.3 7.1 5.3 4.8 4.2 4.1 4.1 6.2 4.2 4.6 5.4 2007 6.7 8.5 8.3 5.9 5.6 3.7 3.3 3.2 4.1 3.1 4.5 6.6 2008 7.7 7.3 7.3 6.9 5.7 4.8 4.4 4.3 3.8 3.9

  19. Percent of Industrial Natural Gas Deliveries in South Carolina Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 91.8 86.4 82.7 82.0 77.6 80.8 80.2 80.2 80.3 79.8 82.4 84.4 2002 89.9 87.6 85.4 88.3 90.4 87.4 90.5 84.4 90.3 90.3 84.3 82.9 2003 79.4 79.6 75.8 79.3 81.8 81.7 78.9 77.3 78.4 77.0 76.5 75.9 2004 76.9 75.6 77.0 79.2 79.0 78.2 78.5 79.0 78.6 78.3 77.2 76.4 2005 78.2 78.8 78.0 77.4 78.1 78.2 78.8 78.7 73.2 76.4 67.9 81.3 2006 80.1 78.6 74.0 80.2 71.2 75.3 75.9 77.2 70.6 74.8 48.6 44.6 2007 48.9 48.4 47.5 46.1 47.5

  20. Percent of Industrial Natural Gas Deliveries in West Virginia Represented

    U.S. Energy Information Administration (EIA) Indexed Site

    by the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 11.2 6.1 6.1 8.6 8.2 7.3 7.7 8.9 5.9 60.8 7.0 62.1 2002 12.1 12.6 11.7 15.0 12.6 12.1 14.7 13.0 16.1 10.7 13.1 10.4 2003 14.3 12.6 20.3 13.9 14.0 14.7 13.6 13.5 14.6 12.9 14.1 10.9 2004 10.7 10.5 11.4 11.5 19.8 15.0 15.7 15.3 14.3 14.8 14.7 12.8 2005 11.4 12.8 12.5 13.7 17.4 21.1 23.5 20.4 22.1 23.0 20.7 18.5 2006 16.3 14.8 17.3 18.6 16.9 20.3 15.7 16.4 19.0 16.7 16.4 16.7 2007 15.2 13.4 15.9 16.3 17.8 18.5 18.5

  1. Trouble Shooting and Error Messages

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Trouble Shooting and Error Messages Trouble Shooting and Error Messages Error Messages Message or Symptom Fault Recommendation job hit wallclock time limit user or system Submit job for longer time or start job from last checkpoint and resubmit. If your job hung and produced no output, contact consultants. received node failed or halted event for nid xxxx system One of the compute nodes assigned to the job failed. Resubmit the job. error while loading shared libraries: libxxxx.so: cannot open

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    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Trouble Shooting and Error Messages Trouble Shooting and Error Messages Error Messages Message or Symptom Fault Recommendation job hit wallclock time limit user or system Submit job for longer time or start job from last checkpoint and resubmit. If your job hung and produced no output contact consultants. received node failed or halted event for nid xxxx system resubmit the job error with width parameters to aprun user Make sure #PBS -l mppwidth value matches aprun -n value new values for

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    DOE Patents [OSTI]

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    2015-12-01

    A method of absolute nuclear material assay of an unknown source comprising counting neutrons from the unknown source and providing an absolute nuclear material assay utilizing a model to optimally compare to the measured count distributions. In one embodiment, the step of providing an absolute nuclear material assay comprises utilizing a random sampling of analytically computed fission chain distributions to generate a continuous time-evolving sequence of event-counts by spreading the fission chain distribution in time.

  4. Absolute nuclear material assay using count distribution (LAMBDA) space

    DOE Patents [OSTI]

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    2012-06-05

    A method of absolute nuclear material assay of an unknown source comprising counting neutrons from the unknown source and providing an absolute nuclear material assay utilizing a model to optimally compare to the measured count distributions. In one embodiment, the step of providing an absolute nuclear material assay comprises utilizing a random sampling of analytically computed fission chain distributions to generate a continuous time-evolving sequence of event-counts by spreading the fission chain distribution in time.

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    Office of Scientific and Technical Information (OSTI)

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    SciTech Connect (OSTI)

    2012-12-31

    Detroit Diesel Corporation (DDC) has successfully completed a 10 year DOE sponsored heavy-duty truck engine program, hereafter referred to as the NZ-50 program. This program was split into two major phases. The first phase was called “Near-Zero Emission at 50 Percent Thermal Efficiency,” and was completed in 2007. The second phase was initiated in 2006, and this phase was named “Advancements in Engine Combustion Systems to Enable High-Efficiency Clean Combustion for Heavy-Duty Engines.” This phase was completed in September, 2010. The key objectives of the NZ-50 program for this first phase were to: • Quantify thermal efficiency degradation associated with reduction of engine-out NOx emissions to the 2007 regulated level of ~1.1 g/hp-hr. • Implement an integrated analytical/experimental development plan for improving subsystem and component capabilities in support of emerging engine technologies for emissions and thermal efficiency goals of the program. • Test prototype subsystem hardware featuring technology enhancements and demonstrate effective application on a multi-cylinder, production feasible heavy-duty engine test-bed. • Optimize subsystem components and engine controls (calibration) to demonstrate thermal efficiency that is in compliance with the DOE 2005 Joule milestone, meaning greater than 45% thermal efficiency at 2007 emission levels. • Develop technology roadmap for meeting emission regulations of 2010 and beyond while mitigating the associated degradation in engine fuel consumption. Ultimately, develop technical prime-path for meeting the overall goal of the NZ-50 program, i.e., 50% thermal efficiency at 2010 regulated emissions. These objectives were successfully met during the course of the NZ-50 program. The most noteworthy achievements in this program are summarized as follows: • Demonstrated technologies through advanced integrated experiments and analysis to achieve the technical objectives of the NZ-50 program with 50.2% equivalent thermal efficiency under EPA 2010 emissions regulations. • Experimentally demonstrate brake efficiency of 48.5% at EPA 2010 emission level at single steady-state point. • Analytically demonstrated additional brake efficiency benefits using advanced aftertreatment configuration concept and air system enhancement including, but not limited to, turbo-compound, variable valve actuator system, and new cylinder head redesign, thus helping to achieve the final program goals. • Experimentally demonstrated EPA 2010 emissions over FTP cycles using advanced integrated engine and aftertreatment system. These aggressive thermal efficiency and emissions results were achieved by applying a robust systems technology development methodology. It used integrated analytical and experimental tools for subsystem component optimization encompassing advanced fuel injection system, increased EGR cooling capacity, combustion process optimization, and advanced aftertreatment technologies. Model based controls employing multiple input and output techniques enabled efficient integration of the various subsystems and ensured optimal performance of each system within the total engine package. . The key objective of the NZ-50 program for the second phase was to explore advancements in engine combustion systems using high-efficiency clean combustion (HECC) techniques to minimize cylinder-out emissions, targeting a 10% efficiency improvement. The most noteworthy achievements in this phase of the program are summarized as follows: • Experimentally and analytically evaluated numerous air system improvements related to the turbocharger and variable valve actuation. Some of the items tested proved to be very successful and modifications to the turbine discovered in this program have since been incorporated into production hardware. • The combustion system development continued with evaluation of various designs of the 2-step piston bowl. Significant improvements in engine emissions have been obtained, but fuel economy improvements have been tougher to realize. • Development of a neural network control system progressed to the point that the system was fully functional and showing significant fuel economy gains in transient engine testing. • Development of the QuantLogic injector with the capability of both a hollow cone spray during early injection and conventional diesel injection at later injection timings was undertaken and proved to be problematic. This injector was designed to be a key component in a PCCI combustion system, but this innovative fuel injector required significantly more development effort than this program’s resources or timing would allow.

  11. Trouble Shooting and Error Messages

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... the compile time and run time if your code only uses MPI, otherwise you run into dependency issues between MPI and SHMEM shared libraries. libhugetlbfs: ERROR: RTLDNEXT used ...

  12. Trouble Shooting and Error Messages

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the job error with width parameters to aprun user Make sure PBS -l mppwidth value matches aprun -n value new values for MPICHUNEXBUFFERSIZE are required user Increase...

  13. Error 404 - Document not found

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    govErrors ERROR 404 - URL Not Found We are sorry but the URL that you have requested cannot be found or it is linked to a file that no longer exists. Please check the spelling or send e-mail to WWW Administrator.

  14. Trouble Shooting and Error Messages

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Trouble Shooting and Error Messages Trouble Shooting and Error Messages Error Messages Message or Symptom Fault Recommendation job hit wallclock time limit user or system Submit job for longer time or start job from last checkpoint and resubmit. If your job hung and produced no output contact consultants. received node failed or halted event for nid xxxx system One of the compute nodes assigned to the job failed. Resubmit the job PtlNIInit failed : PTL_NOT_REGISTERED user The executable is from

  15. Organic Solar Cells: Absolute Measurement of Domain Composition and

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Nanoscale Size Distribution Explains Performance in Solar Cells Organic Solar Cells: Absolute Measurement of Domain Composition and Nanoscale Size Distribution Explains Performance in Solar Cells Organic Solar Cells: Absolute Measurement of Domain Composition and Nanoscale Size Distribution Explains Performance in Solar Cells Print Tuesday, 22 January 2013 00:00 This front cover represents the morphology and resulting device dynamics in organic solar cell blend films of PTB7 and PC71BM, as

  16. EECBG 11-002 Clarification of Ten Percent Limitation on Use of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy Efficiency and Conservation Block Grant Program (EECBG), ten percent ... Guidance For Energy Efficiency And Conservation Block Grant Grantees On Financing Programs ...

  17. error | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    error Sorry, there is no www.netl.doe.gov web page that matches your request. It may be possible that you typed the address incorrectly. Connect to National Energy Technology...

  18. "RSE Table N5.2. Relative Standard Errors for Table N5.2;...

    U.S. Energy Information Administration (EIA) Indexed Site

    Standard Errors for Table N5.2;" " Unit: Percents." ,,"S e l e c t e d","W o o d","a n d","W o o d -","R e l a t e d","P r o d u c t s" ,,,,,"B i o m a s s" ,,,,,,"Wood Residues" ...

  19. U.S. Utility-Scale Solar 60 Percent Towards Cost-Competition Goal |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Utility-Scale Solar 60 Percent Towards Cost-Competition Goal U.S. Utility-Scale Solar 60 Percent Towards Cost-Competition Goal February 12, 2014 - 11:05am Addthis News Media Contact (202) 586-4940 WASHINGTON - The Energy Department announced today that the U.S. solar industry is more than 60 percent of the way to achieving cost-competitive utility-scale solar photovoltaic (PV) electricity - only three years into the Department's decade-long SunShot Initiative. To help

  20. EECBG 11-002 Clarification of Ten Percent Limitation on Use of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    EECBG PROGRAM NOTICE 11-002 EFFECTIVE DATE: July 28, 2011 SUBJECT: CLARIFICATION OF TEN PERCENT LIMATION ON USE OF FUNDS FOR ADMINISTRATIVE EXPENSES PURPOSE To provide guidance to...

  1. EECBG 11-002 Clarification of Ten Percent Limitation on Use of Funds for Administrative Expenses

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy (EERE), Energy Efficiency and Conservation Block Grant Program (EECBG), ten percent limitation, administrative expenses, the Energy Independence and Security Act of 2007.

  2. Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 ...

  3. Fact #727: May 14, 2012 Nearly Twenty Percent of Households Own Three or More Vehicles

    Broader source: Energy.gov [DOE]

    Household vehicle ownership has changed over the last six decades. In 1960, over twenty percent of households did not own a vehicle, but by 2010, that number fell to less than 10%. The number of...

  4. Fact #924: May 9, 1916 Twenty Percent of New Cars in 2015 Had...

    Broader source: Energy.gov (indexed) [DOE]

    Twenty Percent of New Cars in 2015 Had Turbochargers File fotw924web.xlsx More Documents & Publications Fact 923: May 2, 2016 Cylinder Deactivation was Used in More than a ...

  5. If I generate 20 percent of my national electricity from wind...

    Open Energy Info (EERE)

    If I generate 20 percent of my national electricity from wind and solar - what does it do to my GDP and Trade Balance ? Home I think that the economics of fossil fuesl are well...

  6. Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Electricity Production in Texas, April 2011 | Department of Energy Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 Impacts of Increasing Natural Gas Fueled CHP from 20 to 35 Percent of Total Electricity Production in Texas, April 2011 This report is an examination of the possible impacts, implications, and practicality of increasing the amount of electrical energy produced from combined heat and power (CHP) facilities

  7. New Water Booster Pump System Reduces Energy Consumption by 80 Percent and

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Increases Reliability | Department of Energy Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability New Water Booster Pump System Reduces Energy Consumption by 80 Percent and Increases Reliability This case study outlines how General Motors (GM) developed a highly efficient pumping system for their Pontiac Operations Complex in Pontiac, Michigan. In short, GM was able to replace five original 60- to 100-hp pumps with three 15-hp pumps whose speed could

  8. NREL Study Shows 20 Percent Wind is Possible by 2024 - News Releases | NREL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NREL Study Shows 20 Percent Wind is Possible by 2024 Analysis Shows Transmission Upgrades, Offshore Wind, and Operational Changes Needed to Incorporate 20 to 30 Percent Wind January 20, 2010 Today, the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) released the Eastern Wind Integration and Transmission Study (EWITS). This unprecedented two-and-a-half year technical study of future high-penetration wind scenarios was designed to analyze the economic, operational,

  9. NREL Study: Hybrid Delivery Vans Show Nearly 20 Percent Higher Fuel Economy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    - News Releases | NREL Study: Hybrid Delivery Vans Show Nearly 20 Percent Higher Fuel Economy September 28, 2012 The U.S. Department of Energy's (DOE)'s National Renewable Energy Laboratory (NREL) recently completed a performance evaluation report that showed significant fuel economy benefits of hybrid electric delivery vans compared to similar conventional vans. "During the on-road portion of our study, the hybrid vans demonstrated a 13 to 20 percent higher fuel economy than the

  10. Better Buildings Challenge Partners Pledge 20 Percent Energy Drop By 2020 |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Challenge Partners Pledge 20 Percent Energy Drop By 2020 Better Buildings Challenge Partners Pledge 20 Percent Energy Drop By 2020 November 9, 2011 - 10:00am Addthis This is the Atlanta Better Buildings Challenge Breakout Session Panel with representatives from the City of Atlanta Office of Sustainability, Southface, the U.S. General Services Administration, and two Atlanta BBC partner organizations. | Photo courtesy of Fred Perry Photography This is the Atlanta Better

  11. Analysis of standard reference materials by absolute INAA

    SciTech Connect (OSTI)

    Heft, R.E.; Koszykowski, R.F.

    1981-07-01

    Three standard reference materials, flyash, soil, and ASI 4340 steel, were analyzed by a method of absolute instrumental neutron activation analysis (INAA). Two different light water pool-type reactors were used to produce equivalent analytical results even though the epithermal to thermal flux ratio in one reactor was higher than that in the other by a factor of two.

  12. Coordinated joint motion control system with position error correction

    DOE Patents [OSTI]

    Danko, George L.

    2016-04-05

    Disclosed are an articulated hydraulic machine supporting, control system and control method for same. The articulated hydraulic machine has an end effector for performing useful work. The control system is capable of controlling the end effector for automated movement along a preselected trajectory. The control system has a position error correction system to correct discrepancies between an actual end effector trajectory and a desired end effector trajectory. The correction system can employ one or more absolute position signals provided by one or more acceleration sensors supported by one or more movable machine elements. Good trajectory positioning and repeatability can be obtained. A two joystick controller system is enabled, which can in some cases facilitate the operator's task and enhance their work quality and productivity.

  13. Coordinated joint motion control system with position error correction

    DOE Patents [OSTI]

    Danko, George

    2011-11-22

    Disclosed are an articulated hydraulic machine supporting, control system and control method for same. The articulated hydraulic machine has an end effector for performing useful work. The control system is capable of controlling the end effector for automated movement along a preselected trajectory. The control system has a position error correction system to correct discrepancies between an actual end effector trajectory and a desired end effector trajectory. The correction system can employ one or more absolute position signals provided by one or more acceleration sensors supported by one or more movable machine elements. Good trajectory positioning and repeatability can be obtained. A two-joystick controller system is enabled, which can in some cases facilitate the operator's task and enhance their work quality and productivity.

  14. Absolute charge calibration of scintillating screens for relativistic electron detection

    SciTech Connect (OSTI)

    Buck, A.; Popp, A.; Schmid, K.; Karsch, S.; Krausz, F.; Zeil, K.; Jochmann, A.; Kraft, S. D.; Sauerbrey, R.; Cowan, T.; Schramm, U.; Hidding, B.; Kudyakov, T.; Sears, C. M. S.; Veisz, L.; Pawelke, J.

    2010-03-15

    We report on new charge calibrations and linearity tests with high-dynamic range for eight different scintillating screens typically used for the detection of relativistic electrons from laser-plasma based acceleration schemes. The absolute charge calibration was done with picosecond electron bunches at the ELBE linear accelerator in Dresden. The lower detection limit in our setup for the most sensitive scintillating screen (KODAK Biomax MS) was 10 fC/mm{sup 2}. The screens showed a linear photon-to-charge dependency over several orders of magnitude. An onset of saturation effects starting around 10-100 pC/mm{sup 2} was found for some of the screens. Additionally, a constant light source was employed as a luminosity reference to simplify the transfer of a one-time absolute calibration to different experimental setups.

  15. Absolute calibration for a broad range single shot electron spectrometer

    SciTech Connect (OSTI)

    Glinec, Y.; Faure, J.; Guemnie-Tafo, A.; Malka, V.; Monard, H.; Larbre, J. P.; De Waele, V.; Marignier, J. L.; Mostafavi, M.

    2006-10-15

    This article gives a detailed description of a single shot electron spectrometer which was used to characterize electron beams produced by laser-plasma interaction. Contrary to conventional electron sources, electron beams from laser-plasma accelerators can produce a broad range of energies. Therefore, diagnosing these electron spectra requires specific attention and experimental development. Here, we provide an absolute calibration of the Lanex Kodak Fine screen on a laser-triggered radio frequency picosecond electron accelerator. The efficiency of scintillating screens irradiated by electron beams has never been investigated so far. This absolute calibration is then compared to charge measurements from an integrating current transformer for quasimonoenergetic electron spectra from laser-plasma interaction.

  16. MFT homogeneity study at TNX: Final report on the low weight percent solids concentration

    SciTech Connect (OSTI)

    Jenkins, W.J.

    1993-09-21

    A statistical design and analysis of both elemental analyses and weight percent solids analyses data was utilized to evaluate the MFT homogeneity at low heel levels and low agitator speed at both high and low solids feed concentrations. The homogeneity was also evaluated at both low and high agitator speed at the 6000+ gallons static level. The dynamic level portion of the test simulated feeding the Melter from the MFT to evaluate the uniformity of the solids slurry composition (Frit-PHA-Sludge) entering the melter from the MFT. This final report provides the results and conclusions from the second half of the study, the low weight percent solids concentration portion, as well as a comparison with the results from the first half of the study, the high weight percent solids portion.

  17. Wind Energy Could Produce 20 Percent of U.S. Electricity By 2030 |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Energy Could Produce 20 Percent of U.S. Electricity By 2030 Wind Energy Could Produce 20 Percent of U.S. Electricity By 2030 May 12, 2008 - 11:30am Addthis DOE Report Analyzes U.S. Wind Resources, Technology Requirements, and Manufacturing, Siting and Transmission Hurdles to Increasing the Use of Clean and Sustainable Wind Power WASHINGTON, DC - The U.S Department of Energy (DOE) today released a first-of-its kind report that examines the technical feasibility of

  18. NREL Solar Cell Sets World Efficiency Record at 40.8 Percent - News

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Releases | NREL NREL Solar Cell Sets World Efficiency Record at 40.8 Percent August 13, 2008 Scientists at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) have set a world record in solar cell efficiency with a photovoltaic device that converts 40.8 percent of the light that hits it into electricity. This is the highest confirmed efficiency of any photovoltaic device to date. The inverted metamorphic triple-junction solar cell was designed, fabricated and

  19. Analog morphocorrelation: new technique with implications for high-resolution absolute age dating

    SciTech Connect (OSTI)

    Arnold, A.J.; Parker, W.C.; Berggren, W.A.

    1986-05-01

    The conventional approach to increased biostratigraphic resolution involves identifying additional datum planes defined by discrete events. Multivariate techniques used to refine a conventional taxonomic zonal scheme offer no improvement in precision; however, since the characters on which the zonal boundaries are based often show continuous stratigraphic variation, they offer an opportunity for continuous stratigraphic correlation based on the stage of evolution. Morphometric analysis was conducted on two lineages: (1) the Globorotalia cibaoensis-G. crassaformis linage, using a reference section from the early Pliocene of the Rio Grande rise, spanning approximately 2.6 m.y.; and (2) the G. conoidea-G.inflata lineage, using a reference section from the late Miocene to the Holocene from the southwest Pacific, spanning approximately 8 m.y. Stepwise multiple regression of morphologic variates generated an equation with an age-prediction precision (95% confidence) of +/- 122 k.y. in the G. crassaformis lineage and +/- 463 k.y. in the G conoidea lineage (accuracy depends on calibration of absolute dates in the reference section and our knowledge of sedimentation rates over the measured interval). Using single-equation analog morphocorrelation, any sample overlapped by the reference lineage can be correlated, which reduce the need for repeated sampling in a search for discrete events. The authors demonstrate that analysis of continuous morphologic variation can increase stratigraphic precision with a few carefully chosen variables, and that analog morpho-correlation can yield absolute dates, rather than relative dates with quantified error. Any disadvantages inherent in analog morphocorrelation are also found in conventional biostratigraphic techniques, but are usually unquantified and unrecognized.

  20. SU-E-J-235: Varian Portal Dosimetry Accuracy at Detecting Simulated Delivery Errors

    SciTech Connect (OSTI)

    Gordon, J; Bellon, M; Barton, K; Gulam, M; Chetty, I

    2014-06-01

    Purpose: To use receiver operating characteristic (ROC) analysis to quantify the Varian Portal Dosimetry (VPD) application's ability to detect delivery errors in IMRT fields. Methods: EPID and VPD were calibrated/commissioned using vendor-recommended procedures. Five clinical plans comprising 56 modulated fields were analyzed using VPD. Treatment sites were: pelvis, prostate, brain, orbit, and base of tongue. Delivery was on a Varian Trilogy linear accelerator at 6MV using a Millenium120 multi-leaf collimator. Image pairs (VPD-predicted and measured) were exported in dicom format. Each detection test imported an image pair into Matlab, optionally inserted a simulated error (rectangular region with intensity raised or lowered) into the measured image, performed 3%/3mm gamma analysis, and saved the gamma distribution. For a given error, 56 negative tests (without error) were performed, one per 56 image pairs. Also, 560 positive tests (with error) with randomly selected image pairs and randomly selected in-field error location. Images were classified as errored (or error-free) if percent pixels with ?errors of different sizes. VPD was considered to reliably detect an error if images were correctly classified as errored or error-free at least 95% of the time, for some ?+? combination. Results: 20mm{sup 2} errors with intensity altered by ?20% could be reliably detected, as could 10mm{sup 2} errors with intensity was altered by ?50%. Errors with smaller size or intensity change could not be reliably detected. Conclusion: Varian Portal Dosimetry using 3%/3mm gamma analysis is capable of reliably detecting only those fluence errors that exceed the stated sizes. Images containing smaller errors can pass mathematical analysis, though may be detected by visual inspection. This work was not funded by Varian Oncology Systems. Some authors have other work partly funded by Varian Oncology Systems.

  1. WPN 94-8: 40 Percent Waiver Provisions for Mobile Home Units

    Broader source: Energy.gov [DOE]

    This program notice provides clarifying guidance previously issued under Weatherization Program Notice 93-14 on mobile home units weatherized by states which adopt the approved 4.0 version of NEAT or other similar approved energy audits and receive a waiver of the 40 percent requirement from DOE.

  2. WPN 93-14: 40 Percent Waiver Provisions for Multifamily and Mobile Home Units

    Broader source: Energy.gov [DOE]

    This program notice provides guidance on multifamily and mobile home units weatherized by states, which adopt the approved 4.0 version of NEAT or other similar approved energy audits and receive a waiver of the 40 percent requirement from DOE.

  3. Figure 5. Production Schedules at Two Development Rates for the 5 Percent

    U.S. Energy Information Administration (EIA) Indexed Site

    Probability of Recovering 16.0 Billion Barrels 5. Production Schedules at Two Development Rates for the 5 Percent Probability of Recovering 16.0 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of Alaska fig5.jpg (3770

  4. Percent of Commercial Natural Gas Deliveries in Hawaii Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 100 100 100 100 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100

  5. Percent of Commercial Natural Gas Deliveries in Vermont Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 100 100 100 100 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100 100 NA

  6. Percent of Industrial Natural Gas Deliveries in Hawaii Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100 100 100 2000's 100 100 100 100 100 100 100 100 100 100 2010's 100 100 100 100

  7. Absolute beam emittance measurements at RHIC using ionization profile monitors

    SciTech Connect (OSTI)

    Minty, M.; Connolly, R; Liu, C.; Summers, T.; Tepikian, S.

    2014-08-15

    In the past, comparisons between emittance measurements obtained using ionization profile monitors, Vernier scans (using as input the measured rates from the zero degree counters, or ZDCs), the polarimeters and the Schottky detectors evidenced significant variations of up to 100%. In this report we present studies of the RHIC ionization profile monitors (IPMs). After identifying and correcting for two systematic instrumental errors in the beam size measurements, we present experimental results showing that the remaining dominant error in beam emittance measurements at RHIC using the IPMs was imprecise knowledge of the local beta functions. After removal of the systematic errors and implementation of measured beta functions, precise emittance measurements result. Also, consistency between the emittances measured by the IPMs and those derived from the ZDCs was demonstrated.

  8. Lens transmission measurement for an absolute radiation thermometer

    SciTech Connect (OSTI)

    Hao, X.; Yuan, Z.; Lu, X.

    2013-09-11

    The lens transmission for the National Institute of Metrology of China absolute radiation thermometer is measured by a hybrid method. The results of the lens transmission measurements are 99.002% and 86.792% for filter radiometers with center wavelengths 633 nm and 900 nm, respectively. These results, after correcting for diffraction factors and the size-of-source effect when the lens is incorporated within the radiometer, can be used for measurement of thermodynamic temperature. The expanded uncertainty of the lens transmission measurement system has been evaluated. It is 1.310{sup ?3} at 633 nm and 900 nm, respectively.

  9. Method of differential-phase/absolute-amplitude QAM

    DOE Patents [OSTI]

    Dimsdle, Jeffrey William

    2008-10-21

    A method of quadrature amplitude modulation involving encoding phase differentially and amplitude absolutely, allowing for a high data rate and spectral efficiency in data transmission and other communication applications, and allowing for amplitude scaling to facilitate data recovery; amplitude scale tracking to track-out rapid and severe scale variations and facilitate successful demodulation and data retrieval; 2.sup.N power carrier recovery; incoherent demodulation where coherent carrier recovery is not possible or practical due to signal degradation; coherent demodulation; multipath equalization to equalize frequency dependent multipath; and demodulation filtering.

  10. Method of differential-phase/absolute-amplitude QAM

    DOE Patents [OSTI]

    Dimsdle, Jeffrey William

    2007-07-03

    A method of quadrature amplitude modulation involving encoding phase differentially and amplitude absolutely, allowing for a high data rate and spectral efficiency in data transmission and other communication applications, and allowing for amplitude scaling to facilitate data recovery; amplitude scale tracking to track-out rapid and severe scale variations and facilitate successful demodulation and data retrieval; 2.sup.N power carrier recovery; incoherent demodulation where coherent carrier recovery is not possible or practical due to signal degradation; coherent demodulation; multipath equalization to equalize frequency dependent multipath; and demodulation filtering.

  11. Method of differential-phase/absolute-amplitude QAM

    DOE Patents [OSTI]

    Dimsdle, Jeffrey William

    2007-10-02

    A method of quadrature amplitude modulation involving encoding phase differentially and amplitude absolutely, allowing for a high data rate and spectral efficiency in data transmission and other communication applications, and allowing for amplitude scaling to facilitate data recovery; amplitude scale tracking to track-out rapid and severe scale variations and facilitate successful demodulation and data retrieval; 2.sup.N power carrier recovery; incoherent demodulation where coherent carrier recovery is not possible or practical due to signal degradation; coherent demodulation; multipath equalization to equalize frequency dependent multipath; and demodulation filtering.

  12. Method of differential-phase/absolute-amplitude QAM

    DOE Patents [OSTI]

    Dimsdle, Jeffrey William

    2007-07-17

    A method of quadrature amplitude modulation involving encoding phase differentially and amplitude absolutely, allowing for a high data rate and spectral efficiency in data transmission and other communication applications, and allowing for amplitude scaling to facilitate data recovery; amplitude scale tracking to track-out rapid and severe scale variations and facilitate successful demodulation and data retrieval; 2.sup.N power carrier recovery; incoherent demodulation where coherent carrier recovery is not possible or practical due to signal degradation; coherent demodulation; multipath equalization to equalize frequency dependent multipath; and demodulation filtering.

  13. Method of differential-phase/absolute-amplitude QAM

    DOE Patents [OSTI]

    Dimsdle, Jeffrey William

    2009-09-01

    A method of quadrature amplitude modulation involving encoding phase differentially and amplitude absolutely, allowing for a high data rate and spectral efficiency in data transmission and other communication applications, and allowing for amplitude scaling to facilitate data recovery; amplitude scale tracking to track-out rapid and severe scale variations and facilitate successful demodulation and data retrieval; 2.sup.N power carrier recovery; incoherent demodulation where coherent carrier recovery is not possible or practical due to signal degradation; coherent demodulation; multipath equalization to equalize frequency dependent multipath; and demodulation filtering.

  14. RSE Table 10.12 Relative Standard Errors for Table 10.12

    U.S. Energy Information Administration (EIA) Indexed Site

    2 Relative Standard Errors for Table 10.12;" " Unit: Percents." ,,"LPG",,,"Alternative Energy Sources(b)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and" "Code(a)","Subsector and

  15. RSE Table 10.13 Relative Standard Errors for Table 10.13

    U.S. Energy Information Administration (EIA) Indexed Site

    3 Relative Standard Errors for Table 10.13;" " Unit: Percents." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual",,"and" "Code(a)","Subsector and

  16. RSE Table 3.5 Relative Standard Errors for Table 3.5

    U.S. Energy Information Administration (EIA) Indexed Site

    5 Relative Standard Errors for Table 3.5;" " Unit: Percents." " "," "," "," "," "," "," "," ","Waste",," " " "," "," ","Blast"," "," ","Pulping Liquor"," ","Oils/Tars" "NAICS"," ","

  17. Approximate error conjugation gradient minimization methods

    DOE Patents [OSTI]

    Kallman, Jeffrey S

    2013-05-21

    In one embodiment, a method includes selecting a subset of rays from a set of all rays to use in an error calculation for a constrained conjugate gradient minimization problem, calculating an approximate error using the subset of rays, and calculating a minimum in a conjugate gradient direction based on the approximate error. In another embodiment, a system includes a processor for executing logic, logic for selecting a subset of rays from a set of all rays to use in an error calculation for a constrained conjugate gradient minimization problem, logic for calculating an approximate error using the subset of rays, and logic for calculating a minimum in a conjugate gradient direction based on the approximate error. In other embodiments, computer program products, methods, and systems are described capable of using approximate error in constrained conjugate gradient minimization problems.

  18. Impact of Measurement Error on Synchrophasor Applications

    SciTech Connect (OSTI)

    Liu, Yilu; Gracia, Jose R.; Ewing, Paul D.; Zhao, Jiecheng; Tan, Jin; Wu, Ling; Zhan, Lingwei

    2015-07-01

    Phasor measurement units (PMUs), a type of synchrophasor, are powerful diagnostic tools that can help avert catastrophic failures in the power grid. Because of this, PMU measurement errors are particularly worrisome. This report examines the internal and external factors contributing to PMU phase angle and frequency measurement errors and gives a reasonable explanation for them. It also analyzes the impact of those measurement errors on several synchrophasor applications: event location detection, oscillation detection, islanding detection, and dynamic line rating. The primary finding is that dynamic line rating is more likely to be influenced by measurement error. Other findings include the possibility of reporting nonoscillatory activity as an oscillation as the result of error, failing to detect oscillations submerged by error, and the unlikely impact of error on event location and islanding detection.

  19. Percent of Industrial Natural Gas Deliveries in Iowa Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 8.7 6.8 7.4 2000's 7.0 7.5 7.6 7.9 8.4 9.8 8.5 6.5 6.6 6.4 2010's 5.8 5.5 5.2 5.

  20. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 76.6 2000's 83.8 75.4 74.7 78.8 78.3 81.7 78.4 78.0 79.6 77.9 2010's 77.1 80.9 100.0 100.0

  1. Waste Isolation Pilot Plant Contractor Receives 86 Percent of Available Fee

    Broader source: Energy.gov [DOE]

    CARLSBAD, N.M. – EM’s Carlsbad Field Office (CBFO) recently issued the fiscal year 2015 fee award determination for Nuclear Waste Partnership (NWP), and it shows the Waste Isolation Pilot Plant (WIPP) management and operations contractor earned almost 86 percent — or about $11.7 million of more than $13.6 million — of the fee available for the performance period.

  2. Precise method of compensating radiation-induced errors in a hot-cathode-ionization gauge with correcting electrode

    SciTech Connect (OSTI)

    Saeki, Hiroshi Magome, Tamotsu

    2014-10-06

    To compensate pressure-measurement errors caused by a synchrotron radiation environment, a precise method using a hot-cathode-ionization-gauge head with correcting electrode, was developed and tested in a simulation experiment with excess electrons in the SPring-8 storage ring. This precise method to improve the measurement accuracy, can correctly reduce the pressure-measurement errors caused by electrons originating from the external environment, and originating from the primary gauge filament influenced by spatial conditions of the installed vacuum-gauge head. As the result of the simulation experiment to confirm the performance reducing the errors caused by the external environment, the pressure-measurement error using this method was approximately less than several percent in the pressure range from 10{sup ?5} Pa to 10{sup ?8} Pa. After the experiment, to confirm the performance reducing the error caused by spatial conditions, an additional experiment was carried out using a sleeve and showed that the improved function was available.

  3. Error handling strategies in multiphase inverse modeling

    SciTech Connect (OSTI)

    Finsterle, S.; Zhang, Y.

    2010-12-01

    Parameter estimation by inverse modeling involves the repeated evaluation of a function of residuals. These residuals represent both errors in the model and errors in the data. In practical applications of inverse modeling of multiphase flow and transport, the error structure of the final residuals often significantly deviates from the statistical assumptions that underlie standard maximum likelihood estimation using the least-squares method. Large random or systematic errors are likely to lead to convergence problems, biased parameter estimates, misleading uncertainty measures, or poor predictive capabilities of the calibrated model. The multiphase inverse modeling code iTOUGH2 supports strategies that identify and mitigate the impact of systematic or non-normal error structures. We discuss these approaches and provide an overview of the error handling features implemented in iTOUGH2.

  4. Biochip Image Grid Normalization Absolute Signal Fluorescence Measurement Using

    Energy Science and Technology Software Center (OSTI)

    2001-04-17

    This software was developed to measure absolute fluorescent intensities of gel pads on a microchip in units defined by a standard fluorescent slide. It can accomodate varying measurement conditions (e.g. exposure time, sensitivity of detector, resolution of detector, etc.) as well as fluorescent microscopes with non-uniform sensitivity across their field of view allowing the user to compare measurements done on different detectors with varying exposure times, sensitivities, and resolutions. The software is designed both tomore » operate Roper Scientific, Inc. cameras and to use image files produced by the program supplied with that equipment for its calculations. the intensity of the gel pad signal is computed so as to reduce background influence.« less

  5. Method and apparatus for making absolute range measurements

    DOE Patents [OSTI]

    Earl, Dennis D. (Knoxville, TN); Allison, Stephen W. (Knoxville, TN); Cates, Michael R. (Oak Ridge, TN); Sanders, Alvin J. (Knoxville, TN)

    2002-09-24

    This invention relates to a method and apparatus for making absolute distance or ranging measurements using Fresnel diffraction. The invention employs a source of electromagnetic radiation having a known wavelength or wavelength distribution, which sends a beam of electromagnetic radiation through a screen at least partially opaque at the wavelength. The screen has an aperture sized so as to produce a Fresnel diffraction pattern. A portion of the beam travels through the aperture to a detector spaced some distance from the screen. The detector detects the central intensity of the beam as well as a set of intensities displaced from a center of the aperture. The distance from the source to the target can then be calculated based upon the known wavelength, aperture radius, and beam intensity.

  6. THE ABSOLUTE CALIBRATION OF THE EUV IMAGING SPECTROMETER ON HINODE

    SciTech Connect (OSTI)

    Warren, Harry P.; Ugarte-Urra, Ignacio; Landi, Enrico

    2014-07-01

    We investigate the absolute calibration of the EUV Imaging Spectrometer (EIS) on Hinode by comparing EIS full-disk mosaics with irradiance observations from the EUV Variability Experiment on the Solar Dynamics Observatory. We also use extended observations of the quiet corona above the limb combined with a simple differential emission measure model to establish new effective area curves that incorporate information from the most recent atomic physics calculations. We find that changes to the EIS instrument sensitivity are a complex function of both time and wavelength. We find that the sensitivity is decaying exponentially with time and that the decay constants vary with wavelength. The EIS short wavelength channel shows significantly longer decay times than the long wavelength channel.

  7. Group representations, error bases and quantum codes

    SciTech Connect (OSTI)

    Knill, E

    1996-01-01

    This report continues the discussion of unitary error bases and quantum codes. Nice error bases are characterized in terms of the existence of certain characters in a group. A general construction for error bases which are non-abelian over the center is given. The method for obtaining codes due to Calderbank et al. is generalized and expressed purely in representation theoretic terms. The significance of the inertia subgroup both for constructing codes and obtaining the set of transversally implementable operations is demonstrated.

  8. Visio-Error&OmissionNoClouds.vsd

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    *SCR - Sandia Contracting Representative *SDR - Sandia Delegated Representative *E&OB - Errors & Omissions Board * PM - Project Manager * REQ - Requester Facilities Projects Line ...

  9. Linux Kernel Error Detection and Correction

    Energy Science and Technology Software Center (OSTI)

    2007-04-11

    EDAC-utils consists fo a library and set of utilities for retrieving statistics from the Linux Kernel Error Detection and Correction (EDAC) drivers.

  10. Percent of Commercial Natural Gas Deliveries in Alabama Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 79.6 82.7 80.7 80.8 80.3 80.1 81.1 64.7 80.5 70.5 2000's 81.4 82.5 80.5 81.8 82.1 80.5 80.2 79.8 80.2 78.8 2010's 79.3 78.9 76.2 76.6 78.4 77.6

  11. Percent of Commercial Natural Gas Deliveries in Alaska Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 100.0 79.9 63.4 54.5 49.6 55.4 2000's 59.3 60.5 60.0 59.1 55.5 51.2 56.3 76.0 74.9 85.3 2010's 87.7 88.6 94.9 94.5 94.5 98.2

  12. Percent of Commercial Natural Gas Deliveries in Arkansas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 92.3 91.5 90.7 91.8 95.1 96.0 95.0 94.2 90.8 89.3 2000's 89.9 87.0 80.8 81.9 80.3 74.1 71.7 70.4 64.5 59.4 2010's 55.6 51.5 40.2 43.7 45.5 42.5

  13. Percent of Commercial Natural Gas Deliveries in Colorado Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.3 96.0 95.5 95.5 94.8 94.2 93.2 92.8 94.3 97.5 2000's 97.4 95.6 95.3 95.3 94.7 95.2 95.4 95.7 95.2 94.8 2010's 94.6 93.8 92.2 94.7 94.5 NA

  14. Percent of Commercial Natural Gas Deliveries in Delaware Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 98.8 2000's 98.0 98.3 82.8 82.8 81.6 83.3 77.5 74.8 70.6 53.5 2010's 49.8 53.4 43.7 45.0 46.2 45.7

  15. Percent of Commercial Natural Gas Deliveries in Florida Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.6 97.4 97.7 97.8 97.9 97.6 97.1 97.5 96.6 94.5 2000's 67.4 56.6 42.3 42.3 41.2 100.0 100.0 100.0 100.0 100.0 2010's 100.0 38.5 37.0 33.3 32.3 NA

  16. Percent of Commercial Natural Gas Deliveries in Georgia Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 88.4 87.5 88.1 90.5 92.0 93.5 94.1 89.1 83.6 61.0 2000's 17.1 20.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 100.0 100.0 100.0

  17. Percent of Commercial Natural Gas Deliveries in Idaho Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 87.9 87.6 85.7 86.8 85.9 86.0 86.6 86.1 86.4 85.9 2000's 86.3 86.3 85.9 85.2 85.7 85.6 85.8 84.8 86.0 83.7 2010's 82.0 80.8 77.0 77.4 76.6 74.6

  18. Percent of Commercial Natural Gas Deliveries in Illinois Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 57.6 59.0 57.7 55.3 52.8 50.4 53.9 54.3 47.4 42.8 2000's 41.9 41.1 40.9 43.1 41.2 41.5 39.7 42.2 43.3 41.3 2010's 42.3 38.1 36.8 38.4 38.5 NA

  19. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.7 94.2 96.8 95.2 92.3 87.8 96.3 89.9 79.2 78.3 2000's 78.0 77.1 78.4 79.8 78.2 82.1 79.4 78.1 77.9 73.9 2010's 72.5 70.2 67.4 68.2 67.6 67.0

  20. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.6 97.7 95.7 94.7 90.4 89.3 87.7 88.2 85.8 83.4 2000's 81.1 82.0 81.4 78.0 78.3 78.3 77.3 77.7 75.8 72.5 2010's 72.0 72.1 72.2 72.5 74.4 NA

  1. Percent of Commercial Natural Gas Deliveries in Kansas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 91.6 89.2 84.4 82.6 78.4 73.6 71.7 70.3 69.5 66.7 2000's 57.3 63.1 58.9 59.1 57.3 68.5 65.4 64.8 64.9 65.7 2010's 66.0 62.6 59.8 61.4 59.3 NA

  2. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.0 94.0 93.1 92.6 91.4 89.2 90.8 90.0 87.4 87.9 2000's 85.6 81.8 78.9 79.2 78.7 79.7 81.3 81.7 82.0 80.1 2010's 80.5 79.2 77.4 78.8 80.5 79.2

  3. Percent of Commercial Natural Gas Deliveries in Maryland Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.6 96.6 96.0 96.6 97.1 96.9 91.9 67.1 36.6 33.4 2000's 39.1 32.6 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 27.3 24.7 26.2 27.3 27.4

  4. Percent of Commercial Natural Gas Deliveries in Michigan Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 69.9 68.3 68.8 68.6 65.7 66.4 66.9 63.7 59.7 56.6 2000's 58.8 63.5 62.9 64.2 65.6 100.0 100.0 100.0 100.0 100.0 2010's 100.0 54.1 51.0 53.2 55.2 55

  5. Percent of Commercial Natural Gas Deliveries in Missouri Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.0 85.9 85.5 84.6 83.3 83.3 82.2 79.9 78.3 78.6 2000's 80.0 80.8 80.0 80.5 77.4 77.1 76.4 76.9 77.5 76.7 2010's 76.5 73.1 69.2 72.3 70.5 71.1

  6. Percent of Commercial Natural Gas Deliveries in Montana Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.9 97.5 95.4 93.2 91.8 91.6 91.5 91.5 77.2 79.8 2000's 73.5 76.1 75.1 68.8 76.0 77.4 76.9 78.5 79.6 49.2 2010's 54.6 53.3 52.8 53.3 53.5 NA

  7. Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 93.9 91.8 88.2 91.0 80.2 77.1 70.0 74.2 72.5 66.6 2000's 61.1 63.7 63.7 65.4 63.5 64.5 65.1 63.9 57.5 61.3 2010's 60.6 60.6 55.8 57.3 56.4 56.1

  8. Percent of Commercial Natural Gas Deliveries in Nevada Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.7 90.8 88.3 92.7 82.5 76.5 74.2 71.3 70.2 60.9 2000's 54.6 73.9 78.5 67.2 67.9 68.1 68.2 67.0 67.0 65.1 2010's 65.4 64.3 61.4 60.1 58.4 57.9

  9. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 94.8 93.9 92.4 91.6 91.6 86.3 73.3 56.2 60.5 56.0 2000's 56.9 57.5 49.1 50.7 48.1 51.6 46.9 44.2 42.1 38.3 2010's 36.1 32.6 30.8 35.2 32.0 NA

  10. Percent of Commercial Natural Gas Deliveries in New Mexico Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 83.1 77.7 70.0 62.5 62.4 60.3 64.7 71.0 67.0 63.0 2000's 62.2 67.3 72.5 70.3 69.0 69.0 65.0 64.2 62.6 58.2 2010's 60.7 59.8 57.0 57.0 54.4 NA

  11. Percent of Commercial Natural Gas Deliveries in New York Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 83.6 80.7 77.7 77.2 79.6 76.2 77.0 64.7 53.1 57.2 2000's 40.1 45.7 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 100.0 100.0 100.0

  12. Percent of Commercial Natural Gas Deliveries in North Dakota Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 74.8 70.0 68.9 72.7 79.6 80.9 88.0 88.9 83.8 88.2 2000's 89.5 90.1 91.6 94.4 92.6 92.9 93.0 93.3 93.4 92.9 2010's 92.6 92.8 91.9 92.6 93.1 NA

  13. Percent of Commercial Natural Gas Deliveries in Ohio Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 87.3 86.7 85.6 84.6 81.5 76.3 71.8 65.5 55.0 46.4 2000's 45.2 41.8 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2010's 100.0 100.0 100.0 100.0

  14. Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 92.1 91.3 88.5 90.0 88.5 85.2 84.5 81.8 73.2 71.6 2000's 72.4 74.0 71.0 71.3 61.6 53.1 49.9 48.1 51.3 46.4 2010's 47.5 46.3 41.1 44.6 45.3 43.7

  15. Percent of Commercial Natural Gas Deliveries in Oregon Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 97.7 97.9 97.8 97.9 98.1 98.1 98.3 98.5 99.0 98.8 2000's 98.8 99.3 98.7 98.4 98.6 98.6 98.5 98.5 98.5 98.4 2010's 97.4 97.4 96.9 96.6 96.0 NA

  16. Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 95.9 100.0 100.0 100.0 100.0 100.0 91.8 80.5 59.2 53.2 2000's 53.2 58.0 65.9 72.1 73.3 74.3 73.1 66.5 66.2 68.0 2010's 61.2 56.9 55.4 54.5 52.2 53.9

  17. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 86.4 81.8 82.4 83.9 89.1 86.9 82.7 83.3 84.2 81.2 2000's 83.1 84.2 83.1 82.3 82.3 83.5 82.1 81.2 83.0 82.2 2010's 80.9 81.7 81.6 81.6 81.6 81.0

  18. Percent of Commercial Natural Gas Deliveries in Texas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 89.8 89.3 79.7 83.8 82.4 68.6 83.5 61.4 81.0 77.3 2000's 79.0 88.4 71.8 73.7 74.6 79.5 82.0 81.9 82.5 78.3 2010's 76.4 73.4 72.4 72.8 72.6 NA

  19. Percent of Commercial Natural Gas Deliveries in Utah Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 100.0 100.0 100.0 100.0 83.3 81.8 81.9 83.2 82.5 82.9 2000's 83.9 84.4 83.7 84.4 84.4 86.8 86.8 86.9 86.4 85.6 2010's 86.2 86.7 83.9 81.8 78.3 77.0

  20. Percent of Commercial Natural Gas Deliveries in Virginia Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 93.2 93.6 90.7 88.8 86.7 84.1 85.3 77.9 72.1 67.4 2000's 66.4 65.8 61.4 65.7 63.6 100.0 100.0 100.0 100.0 100.0 2010's 100.0 54.1 52.1 54.6 55.8 54.2

  1. Percent of Commercial Natural Gas Deliveries in Wyoming Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 99.8 99.0 98.0 98.0 96.1 93.6 85.9 84.1 90.5 89.1 2000's 90.0 86.5 48.7 51.7 51.4 49.3 47.8 49.3 65.6 65.5 2010's 65.3 64.0 62.6 62.9 60.8 NA

  2. Percent of Industrial Natural Gas Deliveries in Delaware Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 31.0 22.4 16.6 2000's 10.6 16.1 13.4 15.6 11.7 12.2 9.0 9.8 5.8 2.1 2010's 5.3 1.6 0.3 0.3 0.3 NA

  3. Percent of Industrial Natural Gas Deliveries in Florida Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 10.5 7.3 5.0 2000's 5.2 3.8 3.8 3.9 3.7 3.4 3.1 3.1 3.0 3.2 2010's 3.0 3.0 2.7 3.2 3.5 NA

  4. Percent of Industrial Natural Gas Deliveries in Georgia Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 26.7 25.3 23.9 2000's 20.2 19.9 19.2 15.9 16.4 17.1 17.0 17.2 16.1 17.6 2010's 18.2 18.2 20.0 18.9 20.0 NA

  5. Percent of Industrial Natural Gas Deliveries in Idaho Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.0 2.5 2.7 2000's 2.7 2.2 2.0 2.1 2.4 2.3 2.1 2.0 1.9 1.7 2010's 1.8 2.0 1.9 2.5 2.8 2.4

  6. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 11.5 9.3 9.1 2000's 9.0 9.9 9.3 9.9 9.0 9.5 8.7 9.5 9.4 7.7 2010's 7.4 6.3 6.0 6.8 6.4 5.7

  7. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 16.0 9.3 5.8 2000's 10.3 7.7 8.6 9.0 8.3 7.9 7.2 7.4 6.7 7.0 2010's 5.6 3.5 1.9 2.0 2.1 1.9

  8. Percent of Industrial Natural Gas Deliveries in Kansas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 9.2 9.9 10.1 2000's 10.4 9.3 10.8 7.9 6.9 6.3 7.3 5.9 7.8 6.7 2010's 7.0 9.5 9.7 9.3 8.3 NA

  9. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 19.2 17.8 17.5 2000's 19.0 18.7 17.7 18.8 16.9 16.9 15.8 16.6 17.5 18.1 2010's 17.9 17.6 17.8 18.3 17.2 16.0

  10. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 7.4 7.0 6.5 2000's 6.1 8.5 8.0 10.0 8.2 8.2 6.7 7.8 6.3 5.3 2010's 5.3 5.5 5.1 6.8 7.3 NA

  11. Percent of Industrial Natural Gas Deliveries in Michigan Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.5 10.8 11.1 2000's 10.2 11.3 10.2 10.9 10.7 10.1 10.2 12.6 12.5 11.8 2010's 8.8 9.3 7.4 7.4 7.6 NA

  12. Percent of Industrial Natural Gas Deliveries in Missouri Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 21.5 18.2 18.5 2000's 16.8 16.5 16.0 14.8 13.8 14.2 13.2 12.8 13.9 13.2 2010's 13.1 13.4 12.5 13.9 14.0 12.3

  13. Percent of Industrial Natural Gas Deliveries in Montana Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3.1 1.5 1.7 2000's 1.9 2.2 2.1 1.8 1.6 1.8 0.7 0.8 1.0 1.1 2010's 1.5 1.3 1.0 1.2 1.4 NA

  14. Percent of Industrial Natural Gas Deliveries in Nebraska Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 27.0 12.7 14.2 2000's 15.4 18.0 15.7 16.5 16.5 16.3 11.6 9.7 10.2 8.9 2010's 8.2 7.6 6.8 7.8 7.4 7.1

  15. Percent of Industrial Natural Gas Deliveries in Nevada Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 6.3 15.5 22.5 2000's 18.1 33.3 34.3 19.1 16.5 17.2 16.8 17.1 17.8 17.3 2010's 18.4 17.8 15.5 15.7 15.5 NA

  16. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 49.3 49.5 47.9 2000's 23.5 21.6 20.8 19.5 16.4 19.9 19.5 20.6 11.0 9.0 2010's 8.4 8.2 6.5 6.1 6.6 NA

  17. Percent of Industrial Natural Gas Deliveries in New Mexico Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 9.5 9.8 16.4 2000's 16.5 10.1 15.6 12.3 11.2 8.4 11.6 10.6 10.0 11.9 2010's 12.4 10.2 7.9 8.0 7.5 6.4

  18. Percent of Industrial Natural Gas Deliveries in New York Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 12.7 8.3 14.3 2000's 11.3 10.8 11.0 10.6 10.7 14.7 11.7 12.3 11.4 11.7 2010's 10.6 7.9 6.8 6.3 6.1 NA

  19. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 18.5 14.6 14.9 2000's 13.9 9.8 9.2 45.9 51.1 27.5 42.3 48.1 46.2 34.8 2010's 29.7 37.4 34.7 37.9 34.7 39.6

  20. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 5.7 4.3 4.1 2000's 5.3 6.5 4.0 3.9 3.5 3.6 3.0 2.7 2.7 2.8 2010's 2.1 2.0 1.6 2.2 2.0 NA

  1. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4.7 3.6 3.9 2000's 4.2 4.2 3.3 2.4 1.6 1.6 1.1 0.9 0.6 0.5 2010's 0.5 0.6 0.5 0.7 0.8

  2. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 16.3 14.3 13.6 2000's 17.7 21.5 14.4 17.5 24.9 33.2 26.6 21.8 20.1 18.9 2010's 17.1 17.1 16.7 16.9 17.2 16.6

  3. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 17.4 7.4 6.5 2000's 34.0 27.3 27.3 18.9 15.7 15.3 13.6 11.6 11.7 9.2 2010's 6.5 6.0 6.3 9.0 8.1 5.3

  4. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 24.1 35.6 37.0 2000's 41.9 42.1 19.4 25.5 28.2 30.2 33.6 17.8 16.9 14.4 2010's 10.4 4.7 4.3 5.2 4.6 4.1

  5. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 17.2 14.1 23.7 2000's 29.6 35.0 43.0 43.9 48.8 54.6 55.4 54.7 50.4 47.2 2010's 48.6 39.0 39.4 41.7 40.3 40

  6. Percent of Industrial Natural Gas Deliveries in Utah Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 8.9 8.6 9.5 2000's 10.0 10.4 13.6 13.6 19.8 19.5 20.1 14.1 12.7 12.2 2010's 12.1 12.7 11.0 11.1 10.5 8.6

  7. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 13.0 12.8 12.1 2000's 17.6 17.3 15.3 17.3 16.0 17.1 13.9 14.1 17.3 15.8 2010's 15.3 13.6 10.9 10.3 11.1 NA

  8. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.5 2.0 2.9 2000's 2.6 2.5 2.9 1.8 2.1 3.7 3.5 3.0 3.2 3.1 2010's 1.1 1.0 0.9 1.2 1.3 NA

  9. Method to produce alumina aerogels having porosities greater than 80 percent

    DOE Patents [OSTI]

    Poco, John F.; Hrubesh, Lawrence W.

    2003-09-16

    A two-step method for producing monolithic alumina aerogels having porosities of greater than 80 percent. Very strong, very low density alumina aerogel monoliths are prepared using the two-step sol-gel process. The method of preparing pure alumina aerogel modifies the prior known sol method by combining the use of substoichiometric water for hydrolysis, the use of acetic acid to control hydrolysis/condensation, and high temperature supercritical drying, all of which contribute to the formation of a polycrystalline aerogel microstructure. This structure provides exceptional mechanical properties of the alumina aerogel, as well as enhanced thermal resistance and high temperature stability.

  10. runtime error message: "readControlMsg: System returned error Connection

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    timed out on TCP socket fd" readControlMsg: System returned error Connection timed out on TCP socket fd" runtime error message: "readControlMsg: System returned error Connection timed out on TCP socket fd" June 30, 2015 Symptom User jobs with sinlge or multiple apruns in a batch script may get this run time error: "readControlMsg: System returned error Connection timed out on TCP socket fd". This problem is intermittent, sometimes resubmit works. This error

  11. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

  12. Method and apparatus for making absolute range measurements

    DOE Patents [OSTI]

    Allison, Stephen W. (Knoxville, TN); Cates, Michael R. (Oak Ridge, TN); Key, William S. (Knoxville, TN); Sanders, Alvin J. (Knoxville, TN); Earl, Dennis D. (Knoxville, TN)

    1999-01-01

    This invention relates to a method and apparatus for making absolute distance or ranging measurements using Fresnel diffraction. The invention employs a source of electromagnetic radiation having a known wavelength or wavelength distribution, which sends a beam of electromagnetic radiation through an object which causes it to be split (hereinafter referred to as a "beamsplitter"), and then to a target. The beam is reflected from the target onto a screen containing an aperture spaced a known distance from the beamsplitter. The aperture is sized so as to produce a Fresnel diffraction pattern. A portion of the beam travels through the aperture to a detector, spaced a known distance from the screen. The detector detects the central intensity of the beam. The distance from the object which causes the beam to be split to the target can then be calculated based upon the known wavelength, aperture radius, beam intensity, and distance from the detector to the screen. Several apparatus embodiments are disclosed for practicing the method embodiments of the present invention.

  13. Method and apparatus for making absolute range measurements

    DOE Patents [OSTI]

    Allison, S.W.; Cates, M.R.; Key, W.S.; Sanders, A.J.; Earl, D.D.

    1999-06-22

    This invention relates to a method and apparatus for making absolute distance or ranging measurements using Fresnel diffraction. The invention employs a source of electromagnetic radiation having a known wavelength or wavelength distribution, which sends a beam of electromagnetic radiation through an object which causes it to be split (hereinafter referred to as a beam splitter''), and then to a target. The beam is reflected from the target onto a screen containing an aperture spaced a known distance from the beam splitter. The aperture is sized so as to produce a Fresnel diffraction pattern. A portion of the beam travels through the aperture to a detector, spaced a known distance from the screen. The detector detects the central intensity of the beam. The distance from the object which causes the beam to be split to the target can then be calculated based upon the known wavelength, aperture radius, beam intensity, and distance from the detector to the screen. Several apparatus embodiments are disclosed for practicing the method embodiments of the present invention. 9 figs.

  14. Precision absolute value amplifier for a precision voltmeter

    DOE Patents [OSTI]

    Hearn, William E.; Rondeau, Donald J.

    1985-01-01

    Bipolar inputs are afforded by the plus inputs of first and second differential input amplifiers. A first gain determining resister is connected between the minus inputs of the differential amplifiers. First and second diodes are connected between the respective minus inputs and the respective outputs of the differential amplifiers. First and second FETs have their gates connected to the outputs of the amplifiers, while their respective source and drain circuits are connected between the respective minus inputs and an output lead extending to a load resister. The output current through the load resister is proportional to the absolute value of the input voltage difference between the bipolar input terminals. A third differential amplifier has its plus input terminal connected to the load resister. A second gain determining resister is connected between the minus input of the third differential amplifier and a voltage source. A third FET has its gate connected to the output of the third amplifier. The source and drain circuit of the third transistor is connected between the minus input of the third amplifier and a voltage-frequency converter, constituting an output device. A polarity detector is also provided, comprising a pair of transistors having their inputs connected to the outputs of the first and second differential amplifiers. The outputs of the polarity detector are connected to gates which switch the output of the voltage-frequency converter between up and down counting outputs.

  15. Precision absolute-value amplifier for a precision voltmeter

    DOE Patents [OSTI]

    Hearn, W.E.; Rondeau, D.J.

    1982-10-19

    Bipolar inputs are afforded by the plus inputs of first and second differential input amplifiers. A first gain determining resistor is connected between the minus inputs of the differential amplifiers. First and second diodes are connected between the respective minus inputs and the respective outputs of the differential amplifiers. First and second FETs have their gates connected to the outputs of the amplifiers, while their respective source and drain circuits are connected between the respective minus inputs and an output lead extending to a load resistor. The output current through the load resistor is proportional to the absolute value of the input voltage difference between the bipolar input terminals. A third differential amplifier has its plus input terminal connected to the load resistor. A second gain determining resistor is connected between the minus input of the third differential amplifier and a voltage source. A third FET has its gate connected to the output of the third amplifier. The source and drain circuit of the third transistor is connected between the minus input of the third amplifier and a voltage-frequency converter, constituting an output device. A polarity detector is also provided, comprising a pair of transistors having their inputs connected to the outputs of the first and second differential amplifiers. The outputs of the polarity detector are connected to gates which switch the output of the voltage-frequency converter between up and down counting outputs.

  16. Percent of Commercial Natural Gas Deliveries in Hawaii Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100 100 100 100 100 100 100 100 100 100 100 100 1990 100 100 100 100 100 100 100 100 100 100 100 100 1991 100 100 100 100 100 100 100 100 100 100 100 100 1992 100 100 100 100 100 100 100 100 100 100 100 100 1993 100 100 100 100 100 100 100 100 100 100 100 100 1994 100 100 100 100 100 100 100 100 100 100 100 100 1995 100 100 100 100 100 100 100 100 100 100 100 100 1996 100 100 100 100 100 100 100 100 100 100 100 100

  17. Percent of Commercial Natural Gas Deliveries in Vermont Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100 100 100 100 100 100 100 100 100 100 100 100 1990 100 100 100 100 100 100 100 100 100 100 100 100 1991 100 100 100 100 100 100 100 100 100 100 100 100 1992 100 100 100 100 100 100 100 100 100 100 100 100 1993 100 100 100 100 100 100 100 100 100 100 100 100 1994 100 100 100 100 100 100 100 100 100 100 100 100 1995 100 100 100 100 100 100 100 100 100 100 100 100 1996 100 100 100 100 100 100 100 100 100 100 100 100

  18. Percent of Industrial Natural Gas Deliveries in Hawaii Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 100 100 100 100 100 100 100 100 100 100 100 100 2002 100 100 100 100 100 100 100 100 100 100 100 100 2003 100 100 100 100 100 100 100 100 100 100 100 100 2004 100 100 100 100 100 100 100 100 100 100 100 100 2005 100 100 100 100 100 100 100 100 100 100 100 100 2006 100 100 100 100 100 100 100 100 100 100 100 100 2007 100 100 100 100 100 100 100 100 100 100 100 100 2008 100 100 100 100 100 100 100 100 100 100 100 100

  19. Percent of Commercial Natural Gas Deliveries in U.S. Total Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 93.1 90.8 89.1 1990's 86.6 85.1 83.2 83.9 79.3 76.7 77.6 70.8 67.0 66.1 2000's 63.9 66.0 77.4 78.2 78.0 82.1 80.8 80.4 79.7 77.8 2010's 77.5 67.3 65.2 65.8 65.8 65.9

  20. THE ABSOLUTE MAGNITUDES OF TYPE Ia SUPERNOVAE IN THE ULTRAVIOLET (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | SciTech Connect THE ABSOLUTE MAGNITUDES OF TYPE Ia SUPERNOVAE IN THE ULTRAVIOLET Citation Details In-Document Search Title: THE ABSOLUTE MAGNITUDES OF TYPE Ia SUPERNOVAE IN THE ULTRAVIOLET We examine the absolute magnitudes and light-curve shapes of 14 nearby (redshift z = 0.004-0.027) Type Ia supernovae (SNe Ia) observed in the ultraviolet (UV) with the Swift Ultraviolet/Optical Telescope. Colors and absolute magnitudes are calculated using both a standard Milky Way extinction

  1. Error recovery to enable error-free message transfer between nodes of a computer network

    DOE Patents [OSTI]

    Blumrich, Matthias A.; Coteus, Paul W.; Chen, Dong; Gara, Alan; Giampapa, Mark E.; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd; Steinmacher-Burow, Burkhard; Vranas, Pavlos M.

    2016-01-26

    An error-recovery method to enable error-free message transfer between nodes of a computer network. A first node of the network sends a packet to a second node of the network over a link between the nodes, and the first node keeps a copy of the packet on a sending end of the link until the first node receives acknowledgment from the second node that the packet was received without error. The second node tests the packet to determine if the packet is error free. If the packet is not error free, the second node sets a flag to mark the packet as corrupt. The second node returns acknowledgement to the first node specifying whether the packet was received with or without error. When the packet is received with error, the link is returned to a known state and the packet is sent again to the second node.

  2. Quantum error-correcting codes and devices

    DOE Patents [OSTI]

    Gottesman, Daniel

    2000-10-03

    A method of forming quantum error-correcting codes by first forming a stabilizer for a Hilbert space. A quantum information processing device can be formed to implement such quantum codes.

  3. Thermal Hydraulic Simulations, Error Estimation and Parameter

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Thermal Hydraulic Simulations, Error Estimation and Parameter Sensitivity Studies in Drekar::CFD Thomas M. Smith, John N. Shadid, Roger P. Pawlowski, Eric C. Cyr and Timothy M. Wildey Sandia National Laboratories September, 2013 CASL-U-2013-0203-001 SANDIA REPORT SAND2013-XXXX Unlimited Release Printed September 2013 Thermal Hydraulic Simulations, Error Estimation and Parameter Sensitivity Studies in Drekar::CFD Thomas M. Smith, John N. Shadid, Roger P. Pawlowski, Eric C. Cyr and Timothy M.

  4. Evaluating operating system vulnerability to memory errors.

    SciTech Connect (OSTI)

    Ferreira, Kurt Brian; Bridges, Patrick G.; Pedretti, Kevin Thomas Tauke; Mueller, Frank; Fiala, David; Brightwell, Ronald Brian

    2012-05-01

    Reliability is of great concern to the scalability of extreme-scale systems. Of particular concern are soft errors in main memory, which are a leading cause of failures on current systems and are predicted to be the leading cause on future systems. While great effort has gone into designing algorithms and applications that can continue to make progress in the presence of these errors without restarting, the most critical software running on a node, the operating system (OS), is currently left relatively unprotected. OS resiliency is of particular importance because, though this software typically represents a small footprint of a compute node's physical memory, recent studies show more memory errors in this region of memory than the remainder of the system. In this paper, we investigate the soft error vulnerability of two operating systems used in current and future high-performance computing systems: Kitten, the lightweight kernel developed at Sandia National Laboratories, and CLE, a high-performance Linux-based operating system developed by Cray. For each of these platforms, we outline major structures and subsystems that are vulnerable to soft errors and describe methods that could be used to reconstruct damaged state. Our results show the Kitten lightweight operating system may be an easier target to harden against memory errors due to its smaller memory footprint, largely deterministic state, and simpler system structure.

  5. Possibility of using cylindrical ionization chambers for percent depth-dose measurements in clinical electron beams

    SciTech Connect (OSTI)

    Ono, Takeshi; Araki, Fujio; Yoshiyama, Fumiaki

    2011-08-15

    Purpose: This study investigated the possibility of using cylindrical ionization chambers for percent depth-dose (PDD) measurements in high-energy clinical electron beams. Methods: The cavity correction factor, P{sub cav}, for cylindrical chambers with various diameters was calculated as a function of depth from the surface to R{sub 50}, in the energy range of 6-18 MeV electrons with the EGSnrc C ++ -based user-code CAVITY. The results were compared with those for IBA NACP-02 and PTW Roos parallel-plate ionization chambers. The effective point of measurement (EPOM) for the cylindrical chamber and the parallel-plate chamber was positioned according to the IAEA TRS-398 code of practice. The overall correction factor, P{sub Q}, and the percent depth-ionization (PDI) curve for a PTW30013 Farmer-type chamber were also compared with those of NACP-02 and Roos chambers. Results: The P{sub cav} values at depths between the surface and R{sub 50} for cylindrical chambers were all lower than those with parallel-plate chambers. However, the variation in depth for cylindrical chambers equal to or less than 4 mm in diameter was equivalent to or smaller than that for parallel-plate chambers. The P{sub Q} values for the PTW30013 chamber mainly depended on P{sub cav}, and for parallel-plate chambers depended on the wall correction factor, P{sub wall}, rather than P{sub cav}. P{sub Q} at depths from the surface to R{sub 50} for the PTW30013 chamber was consequently a lower value than that with parallel-plate chambers. However, the variation in depth was equivalent to that of parallel-plate chambers at electron energies equal to or greater than 9 MeV. The shift to match calculated PDI curves for the PTW30013 chamber and water (perturbation free) varied from 0.65 to 0 mm between 6 and 18 MeV beams. Similarly, the shifts for NACP-02 and Roos chambers were 0.5-0.6 mm and 0.2-0.3 mm, respectively, and were nearly independent of electron energy. Conclusions: Calculated PDI curves for PTW30013, NACP-02, and Roos chambers agreed well with that of water by using the optimal EPOM. Therefore, the possibility of using cylindrical ionization chambers can be expected for PDD measurements in clinical electron beams.

  6. Percent of Commercial Natural Gas Deliveries in Alaska Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0

  7. Percent of Commercial Natural Gas Deliveries in Delaware Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0

  8. Percent of Commercial Natural Gas Deliveries in Florida Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 96.2 96.1 96.3 96.1 96.4 96.0 96.7 94.9 1991 96.5 97.0 97.5 98.1 97.8 97.8 97.9 97.8 98.2 97.8 96.8 96.8 1992 96.8 97.2 97.4 98.2 98.3 98.2 98.1 98.1 98.3 98.2 97.4 97.0 1993 97.2 97.2 97.2 98.3 98.4 98.4 98.3 98.3 98.3 98.2 97.3 97.0 1994 97.3 97.6 97.8 98.3 97.6 98.3 98.2 98.4 98.5 97.9 97.8 97.0 1995 96.7 97.3 97.5

  9. Percent of Commercial Natural Gas Deliveries in Maine Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0

  10. Percent of Commercial Natural Gas Deliveries in New Jersey Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.0 98.9 98.7 98.3 96.2 94.7 94.2 93.4 93.5 94.7 99.0 99.7 1990 99.6 99.3 96.6 94.4 94.3 93.2 89.3 86.4 87.1 86.2 91.7 96.5 1991 98.1 96.5 95.8 91.8 92.3 89.1 89.5 80.6 89.2 90.0 93.2 97.0 1992 96.9 95.7 92.1 87.7 94.1 91.3 88.6 80.7 80.7 86.4 94.8 96.9 1993 93.6 94.0 93.7 91.2 88.5 86.4 87.1 79.8 84.6 90.0 92.4 93.8 1994 94.9 96.2 96.3 89.8 87.4 85.1 81.4 82.2 83.6 88.0 89.6 92.1 1995 93.7 92.4 91.3 87.4 84.5

  11. Percent of Commercial Natural Gas Deliveries in North Dakota Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 81.7 84.8 84.0 83.9 80.6 74.8 69.2 64.9 71.4 70.9 74.8 81.6 1990 83.9 82.5 78.4 76.0 75.4 69.7 54.3 53.3 57.4 58.4 69.8 75.8 1991 79.4 79.9 74.9 71.7 70.6 59.0 49.6 47.6 49.6 48.7 67.6 70.1 1992 71.7 73.7 72.0 71.6 73.6 63.8 61.6 58.8 57.2 56.8 67.3 68.9 1993 77.1 73.8 77.4 76.8 73.3 62.6 58.1 54.0 53.5 56.0 74.2 78.9 1994 82.6 86.8 83.1 82.1 78.4 69.7 66.2 63.2 61.8 64.0 82.2 76.9 1995 84.3 85.9 84.3 83.2 80.0

  12. Percent of Commercial Natural Gas Deliveries in Rhode Island Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 87.1 83.9 47.7 48.9 40.4 44.6 82.7 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 75.5 80.2 97.3 91.1 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 100.0 100.0 100.0 100.0 100.0 100.0 100.0

  13. Percent of Commercial Natural Gas Deliveries in South Dakota Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 92.8 93.1 92.8 92.1 92.5 91.6 90.2 89.4 90.0 89.6 91.1 92.0 1990 90.7 90.1 90.2 88.0 78.4 83.0 81.9 82.4 82.0 77.7 82.0 86.3 1991 84.8 83.0 80.5 83.4 79.5 74.9 74.3 74.3 74.5 76.7 83.4 85.2 1992 87.0 83.3 85.6 83.1 80.7 73.5 72.3 74.6 78.0 76.5 81.8 84.7 1993 86.5 83.9 84.4 81.2 76.4 73.3 74.9 72.9 75.8 78.7 90.0 91.2 1994 92.9 92.3 92.6 88.4 84.7 74.7 72.7 82.0 79.0 83.4 88.4 92.1 1995 92.1 90.8 89.7 87.2 82.8

  14. Percent of Commercial Natural Gas Deliveries in Utah Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1990 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1991 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1992 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1993 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 1994 83.8 85.2 82.9 82.4 77.7 77.9 76.4

  15. Percent of Commercial Natural Gas Deliveries in Wyoming Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 99.8 99.6 99.7 99.7 1990 99.7 99.7 99.7 99.8 99.7 99.7 99.6 99.6 99.5 99.5 99.7 99.7 1991 99.9 99.9 99.4 98.9 99.0 98.2 97.4 98.3 97.2 98.4 98.6 98.5 1992 98.6 98.1 97.8 98.4 97.9 97.2 96.5 97.1 97.4 97.2 98.2 98.3 1993 98.8 98.2 98.4 98.1 98.2 96.9 97.1 96.5 95.0 97.1 97.2 99.0 1994 98.1 96.0 96.9 97.3 95.2 91.7 93.4 92.1 93.5 95.6 96.1 96.8 1995 88.4 98.2 93.6 92.4 89.2

  16. Percent of Industrial Natural Gas Deliveries in New Jersey Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 29.3 31.1 27.6 21.9 21.2 19.6 18.6 15.6 18.5 16.8 15.6 21.1 2002 23.5 22.2 23.5 21.5 18.7 18.3 17.4 16.9 18.0 18.5 22.1 26.0 2003 21.1 23.1 26.0 26.8 23.9 18.0 15.3 17.3 13.3 14.9 13.0 18.4 2004 19.5 22.5 18.1 16.6 15.0 13.7 11.6 15.1 13.6 13.6 15.4 18.5 2005 22.4 22.7 21.9 17.6 15.7 15.4 17.7 20.4 16.9 19.4 20.1 25.4 2006 23.6 22.4 21.6 19.0 17.0 16.3 18.5 19.1 15.6 16.6 19.9 21.8 2007 21.5 23.6 20.8 23.0 17.1

  17. Percent of Industrial Natural Gas Deliveries in U.S. Total Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 23.5 23.2 22.0 21.0 19.5 19.2 20.2 19.6 19.8 20.3 20.2 20.7 2002 20.3 20.5 20.2 26.3 23.9 25.5 24.0 22.5 22.5 21.7 21.8 23.1 2003 21.4 22.1 21.3 20.9 20.3 19.1 24.7 22.9 22.9 23.3 22.7 23.5 2004 23.1 23.6 22.8 23.3 23.4 25.0 24.9 24.0 22.8 22.6 23.5 24.5 2005 24.8 24.3 24.6 23.9 24.2 23.7 24.5 24.6 23.2 23.2 23.4 23.7 2006 23.7 23.7 23.8 23.5 23.8 23.3 23.6 23.7 22.0 22.9 23.0 23.4 2007 22.7 23.0 22.4 22.3 23.2

  18. "RSE Table C12.1. Relative Standard Errors for Table C12.1;"

    U.S. Energy Information Administration (EIA) Indexed Site

    2.1. Relative Standard Errors for Table C12.1;" " Units: Percents." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" "NAICS"," ","of All Buildings",,"Enclosed Floorspace","of All Buildings","of Buildings Onsite" "Code(a)","Subsector and

  19. RSE Table 10.10 Relative Standard Errors for Table 10.10

    U.S. Energy Information Administration (EIA) Indexed Site

    0 Relative Standard Errors for Table 10.10;" " Unit: Percents." ,,"Coal",,,"Alternative Energy Sources(b)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual" "Code(a)","Subsector and Industry","Consumed(c)","Switchable","Switchable","Receipts(d)","Gas","Fuel

  20. RSE Table 10.11 Relative Standard Errors for Table 10.11

    U.S. Energy Information Administration (EIA) Indexed Site

    1 Relative Standard Errors for Table 10.11;" " Unit: Percents." ,,"Coal(b)",,,"Alternative Energy Sources(c)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual" "Code(a)","Subsector and Industry","Consumed(d)","Switchable","Switchable","Receipts(e)","Gas","Fuel

  1. RSE Table 2.1 Relative Standard Errors for Table 2.1

    U.S. Energy Information Administration (EIA) Indexed Site

    2.1 Relative Standard Errors for Table 2.1;" " Unit: Percents." " "," " " "," " "NAICS"," "," ","Residual","Distillate","Natural ","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and

  2. RSE Table 5.1 Relative Standard Errors for Table 5.1

    U.S. Energy Information Administration (EIA) Indexed Site

    1 Relative Standard Errors for Table 5.1;" " Unit: Percents." " "," " " "," "," ",," ","Distillate"," "," ",," " " "," ",,,,"Fuel Oil",,,"Coal" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," "

  3. RSE Table 5.2 Relative Standard Errors for Table 5.2

    U.S. Energy Information Administration (EIA) Indexed Site

    2 Relative Standard Errors for Table 5.2;" " Unit: Percents." " "," "," ",," ","Distillate"," "," ",," " " "," ",,,,"Fuel Oil",,,"Coal" "NAICS"," "," ","Net","Residual","and","Natural ","LPG and","(excluding Coal"," " "Code(a)","End

  4. RSE Table 5.4 Relative Standard Errors for Table 5.4

    U.S. Energy Information Administration (EIA) Indexed Site

    4 Relative Standard Errors for Table 5.4;" " Unit: Percents." " "," ",," ","Distillate"," "," " " "," ","Net Demand",,"Fuel Oil",,,"Coal" "NAICS"," ","for ","Residual","and","Natural ","LPG and","(excluding Coal" "Code(a)","End Use","Electricity(b)","Fuel

  5. RSE Table 5.5 Relative Standard Errors for Table 5.5

    U.S. Energy Information Administration (EIA) Indexed Site

    5 Relative Standard Errors for Table 5.5;" " Unit: Percents." " "," ",," ",," "," ",," " " ",,,,"Distillate" " "," ",,,"Fuel Oil",,,"Coal"," " " ",,"Net","Residual","and","Natural","LPG and","(excluding Coal" "End Use","Total","Electricity(a)","Fuel

  6. RSE Table 5.6 Relative Standard Errors for Table 5.6

    U.S. Energy Information Administration (EIA) Indexed Site

    6 Relative Standard Errors for Table 5.6;" " Unit: Percents." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and","Natural","LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel

  7. RSE Table 5.7 Relative Standard Errors for Table 5.7

    U.S. Energy Information Administration (EIA) Indexed Site

    7 Relative Standard Errors for Table 5.7;" " Unit: Percents." " ",,,"Distillate" " ","Net Demand",,"Fuel Oil",,,"Coal" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal" "End Use","Electricity(a)","Fuel Oil","Diesel Fuel(b)","Gas(c)","NGL(d)","Coke and Breeze)"

  8. RSE Table 5.8 Relative Standard Errors for Table 5.8

    U.S. Energy Information Administration (EIA) Indexed Site

    8 Relative Standard Errors for Table 5.8;" " Unit: Percents." " ",," ","Distillate"," "," " " ","Net Demand",,"Fuel Oil",,,"Coal" " ","for ","Residual","and","Natural ","LPG and","(excluding Coal" "End Use","Electricity(a)","Fuel Oil","Diesel

  9. RSE Table 7.4 Relative Standard Errors for Table 7.4

    U.S. Energy Information Administration (EIA) Indexed Site

    4 Relative Standard Errors for Table 7.4;" " Unit: Percents." " ",," "," ",," "," " "Economic",,"Residual","Distillate","Natural ","LPG and" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal" ,"Total United States" "Value of Shipments and Receipts"

  10. RSE Table 7.5 Relative Standard Errors for Table 7.5

    U.S. Energy Information Administration (EIA) Indexed Site

    5 Relative Standard Errors for Table 7.5;" " Unit: Percents." " ",," "," ",," "," " "Economic",,"Residual","Distillate","Natural ","LPG and" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal" ,"Total United States" "Value of Shipments and Receipts"

  11. Neutron multiplication error in TRU waste measurements

    SciTech Connect (OSTI)

    Veilleux, John [Los Alamos National Laboratory; Stanfield, Sean B [CCP; Wachter, Joe [CCP; Ceo, Bob [CCP

    2009-01-01

    Total Measurement Uncertainty (TMU) in neutron assays of transuranic waste (TRU) are comprised of several components including counting statistics, matrix and source distribution, calibration inaccuracy, background effects, and neutron multiplication error. While a minor component for low plutonium masses, neutron multiplication error is often the major contributor to the TMU for items containing more than 140 g of weapons grade plutonium. Neutron multiplication arises when neutrons from spontaneous fission and other nuclear events induce fissions in other fissile isotopes in the waste, thereby multiplying the overall coincidence neutron response in passive neutron measurements. Since passive neutron counters cannot differentiate between spontaneous and induced fission neutrons, multiplication can lead to positive bias in the measurements. Although neutron multiplication can only result in a positive bias, it has, for the purpose of mathematical simplicity, generally been treated as an error that can lead to either a positive or negative result in the TMU. While the factors that contribute to neutron multiplication include the total mass of fissile nuclides, the presence of moderating material in the matrix, the concentration and geometry of the fissile sources, and other factors; measurement uncertainty is generally determined as a function of the fissile mass in most TMU software calculations because this is the only quantity determined by the passive neutron measurement. Neutron multiplication error has a particularly pernicious consequence for TRU waste analysis because the measured Fissile Gram Equivalent (FGE) plus twice the TMU error must be less than 200 for TRU waste packaged in 55-gal drums and less than 325 for boxed waste. For this reason, large errors due to neutron multiplication can lead to increased rejections of TRU waste containers. This report will attempt to better define the error term due to neutron multiplication and arrive at values that are more realistic and accurate. To do so, measurements of standards and waste drums were performed with High Efficiency Neutron Counters (HENC) located at Los Alamos National Laboratory (LANL). The data were analyzed for multiplication effects and new estimates of the multiplication error were computed. A concluding section will present alternatives for reducing the number of rejections of TRU waste containers due to neutron multiplication error.

  12. Percent of Commercial Natural Gas Deliveries in Alabama Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 84.0 82.5 89.4 90.6 83.8 86.2 55.5 83.6 78.9 84.4 78.4 85.7 1990 86.9 82.1 80.0 76.8 74.9 79.8 76.8 73.3 76.5 78.0 69.7 81.4 1991 82.2 87.0 87.9 83.2 84.0 85.4 85.7 81.3 75.8 74.4 75.5 81.7 1992 83.7 86.8 84.0 83.2 79.0 77.6 75.3 74.7 74.4 73.2 74.2 80.6 1993 84.1 85.3 85.8 84.0 79.8 76.8 75.9 74.0 74.4 71.3 74.7 79.3 1994 86.1 87.7 84.1 83.1 78.0 76.5 74.8 71.8 64.7 70.0 73.6 76.7 1995 82.5 85.7 85.8 81.4 77.5 75.7

  13. Percent of Commercial Natural Gas Deliveries in Arkansas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 95.3 95.6 95.9 94.3 91.3 91.5 87.2 86.2 88.2 87.5 90.7 93.4 1990 95.8 94.8 93.7 93.2 90.7 88.8 88.4 86.9 87.4 86.8 90.6 91.5 1991 93.8 94.7 96.1 91.0 87.7 85.1 84.8 85.5 85.9 86.5 90.5 92.3 1992 93.0 94.7 91.3 92.7 88.4 87.0 85.9 85.4 86.4 87.6 88.7 90.8 1993 92.5 93.0 92.8 91.8 87.6 84.2 85.9 84.7 85.7 87.8 92.7 98.7 1994 93.9 95.9 95.4 94.8 91.2 91.7 94.2 94.3 96.6 95.3 96.4 97.4 1995 97.2 98.0 96.3 95.1 93.3 93.1

  14. Percent of Commercial Natural Gas Deliveries in Colorado Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.0 98.1 98.3 97.8 97.3 97.3 95.0 91.8 95.8 95.6 96.9 97.2 1990 98.1 98.0 97.9 97.6 97.3 97.4 94.7 94.5 95.5 94.6 97.0 97.0 1991 96.8 97.1 96.1 96.2 96.9 97.2 93.7 93.9 93.6 92.3 94.7 96.3 1992 96.7 96.7 95.9 95.7 95.1 96.0 94.2 93.3 93.6 91.2 93.7 96.2 1993 96.6 96.4 96.5 95.8 95.2 95.5 93.0 93.1 95.2 90.6 94.1 95.9 1994 95.9 96.1 95.7 94.9 95.3 94.3 91.2 91.7 93.1 91.5 93.2 95.5 1995 95.9 96.0 95.1 94.3 95.1 95.5

  15. Percent of Commercial Natural Gas Deliveries in Georgia Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 96.6 93.6 89.7 88.2 85.3 81.7 80.7 80.2 83.0 86.4 89.4 96.8 1990 96.5 90.3 88.7 86.9 82.0 80.9 80.1 82.5 78.9 84.3 87.9 94.1 1991 92.1 90.7 88.8 84.7 81.6 79.7 79.6 80.3 78.8 82.8 90.7 92.5 1992 90.8 90.6 89.3 88.2 85.0 82.7 79.7 83.3 83.4 84.6 87.9 92.9 1993 91.5 92.9 94.6 90.9 86.5 83.0 85.4 84.9 85.6 86.0 91.2 93.0 1994 97.0 94.9 92.4 90.3 89.3 86.8 87.9 89.0 86.1 88.6 91.6 92.6 1995 96.1 97.1 93.3 90.7 89.7 88.4

  16. Percent of Commercial Natural Gas Deliveries in Idaho Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 88.9 90.2 90.6 89.0 82.8 85.9 86.8 83.0 84.1 79.3 84.6 87.4 1990 91.5 90.4 89.7 87.7 85.8 88.1 86.1 85.2 85.0 79.3 86.3 86.4 1991 91.0 91.7 88.5 87.4 87.4 86.8 84.7 84.0 82.9 73.6 85.1 87.5 1992 89.4 89.0 87.1 85.2 83.1 80.2 81.0 82.4 80.2 77.9 82.2 88.3 1993 89.4 89.9 91.0 87.9 87.4 82.3 82.8 81.3 79.2 77.7 81.5 87.8 1994 87.8 88.6 88.1 85.9 83.2 82.7 84.2 80.1 80.6 79.4 84.1 87.6 1995 89.7 89.1 86.5 85.5 86.0 85.3

  17. Percent of Commercial Natural Gas Deliveries in Illinois Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 71.8 73.5 69.8 69.6 67.5 59.7 50.2 47.4 62.4 64.5 68.9 74.5 1990 65.6 65.7 60.2 55.3 52.9 40.6 40.7 41.8 44.5 54.6 52.2 63.6 1991 66.1 62.7 61.0 56.7 49.1 45.4 39.4 43.5 55.0 54.8 60.4 60.3 1992 63.0 58.2 59.5 57.5 53.0 43.4 44.4 49.2 47.0 55.5 60.5 59.9 1993 61.0 58.4 58.3 56.3 51.5 43.4 42.9 38.3 50.0 50.2 53.7 56.0 1994 59.1 59.9 58.0 49.9 46.5 37.8 36.1 36.3 39.7 47.5 49.9 52.0 1995 54.8 53.2 52.9 49.3 40.2 42.9

  18. Percent of Commercial Natural Gas Deliveries in Indiana Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.1 93.9 94.3 92.6 92.6 97.2 96.7 96.8 89.1 91.9 97.7 98.9 1990 99.2 98.5 93.4 90.1 92.1 90.6 92.2 89.7 88.4 91.8 98.4 98.6 1991 94.2 93.3 93.2 93.2 92.6 89.2 89.9 89.6 92.6 98.5 97.9 95.4 1992 93.6 92.4 98.6 99.1 99.7 99.9 92.8 99.6 91.9 99.8 99.9 98.0 1993 94.5 94.1 99.6 99.5 100.0 91.9 90.4 91.1 92.9 90.7 92.2 96.1 1994 94.1 97.5 93.7 91.5 88.4 85.6 84.6 85.9 84.3 86.7 91.3 91.4 1995 89.7 89.9 89.5 87.0 83.4 76.1

  19. Percent of Commercial Natural Gas Deliveries in Iowa Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.4 98.4 98.5 98.0 97.0 96.3 95.4 95.0 95.2 96.6 97.6 98.3 1990 98.5 98.2 98.1 97.8 97.3 96.3 95.3 95.6 92.3 95.5 97.5 97.7 1991 98.4 98.4 98.2 97.3 96.7 95.7 94.9 91.5 96.0 96.3 98.5 98.0 1992 97.6 97.4 96.5 96.2 94.3 93.2 91.3 90.6 88.7 91.0 96.1 96.7 1993 96.6 96.6 95.8 96.4 92.9 90.8 90.2 88.3 88.9 92.8 95.2 93.2 1994 92.9 94.3 91.2 90.5 87.9 84.1 81.3 80.0 80.5 86.0 90.4 91.0 1995 91.7 92.0 91.1 88.8 86.1 81.9

  20. Percent of Commercial Natural Gas Deliveries in Kansas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.8 94.4 94.1 94.6 92.9 89.2 93.7 94.7 91.8 88.9 88.2 92.9 1990 92.7 90.8 90.6 92.6 91.6 93.1 94.3 94.0 93.3 87.0 88.0 89.4 1991 92.5 91.6 87.9 91.2 88.5 87.1 91.3 89.7 86.9 82.0 87.7 85.3 1992 82.9 83.8 83.9 86.8 88.8 86.8 88.4 88.9 86.9 81.1 78.0 82.7 1993 84.3 83.1 86.1 84.4 85.3 83.0 84.4 86.3 81.3 72.2 75.5 79.9 1994 82.2 85.6 82.3 75.3 69.9 70.4 70.9 71.5 71.9 77.1 83.9 79.5 1995 87.8 73.6 83.2 69.5 62.9 64.8

  1. Percent of Commercial Natural Gas Deliveries in Kentucky Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 97.1 96.6 96.4 94.9 91.0 89.2 89.5 88.2 89.8 90.7 94.4 97.0 1990 97.2 96.9 96.3 94.8 91.6 91.6 89.5 89.5 89.1 93.3 95.0 96.2 1991 97.1 95.7 94.7 89.8 86.4 85.5 87.5 88.0 91.1 91.5 95.7 95.5 1992 95.4 94.2 93.6 91.9 87.9 86.9 86.7 87.4 87.9 93.0 94.6 94.9 1993 91.6 91.6 95.3 93.5 92.4 93.5 89.9 81.6 88.1 88.5 94.5 95.4 1994 93.6 95.9 94.6 92.1 88.2 85.4 83.0 83.5 83.4 87.6 87.9 89.9 1995 90.8 91.2 89.9 86.3 87.4 80.6

  2. Percent of Commercial Natural Gas Deliveries in Maryland Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 97.1 96.6 97.1 96.7 95.9 95.1 94.3 94.7 94.1 94.2 94.6 96.8 1990 97.6 97.1 96.0 95.7 94.3 94.5 93.6 93.1 92.6 93.3 94.7 95.6 1991 97.3 97.5 97.1 96.6 95.9 94.8 94.5 94.7 94.1 95.8 96.5 97.4 1992 97.2 97.2 96.3 95.6 94.1 92.8 93.1 92.7 94.1 95.0 97.0 97.4 1993 97.3 97.4 96.5 96.3 94.6 96.2 95.0 93.4 93.4 95.4 97.1 98.1 1994 98.1 98.3 98.2 95.8 95.8 95.4 95.2 94.1 95.2 96.2 96.5 97.8 1995 97.9 98.5 97.8 96.7 95.9 96.2

  3. Percent of Commercial Natural Gas Deliveries in Michigan Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 75.8 74.5 76.0 71.7 64.9 47.6 51.7 50.8 57.5 64.4 69.5 73.5 1990 73.1 74.0 74.5 72.3 67.4 58.1 49.6 51.5 52.2 62.1 70.1 74.6 1991 73.0 72.2 72.4 67.3 62.1 51.2 44.3 41.2 47.5 60.1 87.2 70.0 1992 73.7 74.5 71.4 70.5 66.6 55.5 48.5 51.6 49.9 61.1 68.6 73.1 1993 74.5 72.3 72.6 68.0 63.7 51.6 50.5 54.4 50.9 63.1 68.1 73.1 1994 73.7 71.6 70.8 66.3 60.1 45.7 41.7 42.3 45.4 55.4 63.4 69.8 1995 72.5 72.2 71.2 68.0 61.5 45.8

  4. Percent of Commercial Natural Gas Deliveries in Missouri Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 94.4 93.9 94.4 93.2 90.7 85.8 86.1 90.5 86.9 88.8 90.3 92.3 1990 93.7 90.7 89.2 88.2 82.5 77.4 70.9 70.8 72.6 74.8 83.8 85.9 1991 90.8 91.1 89.1 82.1 79.0 75.4 71.1 72.2 75.1 75.6 85.9 88.5 1992 89.7 90.1 89.1 88.1 82.7 80.6 71.9 75.8 74.5 76.1 81.0 87.2 1993 87.5 89.2 89.8 88.1 78.0 74.7 72.2 69.2 74.3 73.4 82.3 85.9 1994 88.8 87.2 87.6 85.1 79.0 75.0 70.2 70.0 68.2 70.2 77.0 82.0 1995 87.0 88.9 87.2 83.3 80.9 75.0

  5. Percent of Commercial Natural Gas Deliveries in Montana Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.3 98.9 98.8 98.6 97.4 96.8 96.4 96.3 96.3 97.5 97.9 98.1 1990 97.9 97.8 97.6 98.6 96.9 98.4 96.3 95.8 93.3 96.9 97.6 99.6 1991 98.5 98.1 98.0 97.7 97.8 96.9 95.8 95.8 95.8 96.3 96.5 97.2 1992 97.1 98.0 96.7 96.5 96.6 94.9 95.4 96.8 90.6 92.0 92.8 94.6 1993 95.4 94.0 94.9 93.9 94.9 91.1 91.2 91.2 87.5 88.8 91.5 93.5 1994 92.7 93.0 92.7 91.8 91.9 89.6 88.7 87.8 87.5 89.0 91.2 93.1 1995 93.0 92.5 92.5 91.9 92.0 90.1

  6. Percent of Commercial Natural Gas Deliveries in Nebraska Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 96.8 96.5 97.1 99.8 99.7 99.8 99.9 99.9 99.7 98.8 98.1 98.5 1990 95.6 95.3 94.1 93.2 92.3 89.6 96.9 94.2 93.0 90.2 89.9 93.5 1991 93.6 93.3 91.8 87.9 85.4 88.2 96.4 95.2 85.8 86.1 90.5 91.4 1992 91.7 91.6 89.9 90.9 88.7 81.7 85.6 83.6 80.5 84.5 87.1 90.9 1993 94.1 94.7 94.5 93.4 89.5 88.4 88.1 87.8 82.9 85.2 84.8 92.0 1994 88.2 88.9 85.8 82.3 79.2 72.9 75.9 77.8 65.1 62.2 73.5 80.7 1995 81.4 80.6 79.2 79.8 76.0 71.8

  7. Percent of Commercial Natural Gas Deliveries in Nevada Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.0 98.1 96.9 95.0 94.2 94.3 92.7 91.7 91.2 96.2 97.2 98.8 1990 99.1 99.4 97.7 97.0 96.4 96.7 95.7 95.0 95.1 96.8 98.4 99.1 1991 99.4 99.4 94.3 92.2 90.6 87.2 84.0 85.2 79.5 84.3 82.2 89.0 1992 90.6 89.5 88.3 87.2 83.7 84.0 84.8 81.4 82.7 88.9 88.5 95.4 1993 97.0 96.0 94.3 91.0 92.5 90.6 89.7 86.7 89.6 89.7 90.9 93.5 1994 93.8 89.3 86.1 81.3 80.1 79.6 76.4 74.5 76.4 73.9 76.7 81.4 1995 81.5 83.2 77.4 78.9 77.1 76.5

  8. Percent of Commercial Natural Gas Deliveries in New York Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 90.4 90.1 89.3 85.0 85.4 81.3 78.6 78.2 73.6 74.8 82.4 89.7 1990 90.5 92.3 85.6 85.3 78.9 77.8 80.2 80.1 76.5 75.8 80.7 81.5 1991 86.2 85.4 84.4 81.0 75.8 72.8 76.8 75.1 73.1 75.0 79.5 81.1 1992 81.0 78.9 79.5 77.3 72.4 70.9 72.9 69.3 69.3 76.0 82.6 81.5 1993 81.4 81.5 82.3 77.8 71.3 66.2 69.1 72.1 72.8 74.1 77.9 77.2 1994 83.7 83.4 83.3 77.7 73.4 73.2 74.7 73.4 75.1 76.4 78.0 81.9 1995 80.8 82.8 79.3 76.3 71.7 66.5

  9. Percent of Commercial Natural Gas Deliveries in Ohio Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 87.4 88.1 87.1 86.0 81.2 74.4 75.5 75.0 78.9 85.1 87.8 90.3 1990 89.9 89.2 89.9 86.4 82.4 78.5 77.0 75.6 77.7 83.0 87.9 91.4 1991 91.6 90.0 87.2 83.6 78.6 74.7 75.5 73.7 75.6 82.6 87.8 89.8 1992 89.1 88.0 88.4 85.7 78.9 73.9 72.0 73.5 73.1 84.2 85.7 88.5 1993 89.4 87.0 86.9 83.8 76.1 73.9 74.6 69.4 72.6 82.8 84.5 86.3 1994 87.4 86.5 84.9 78.4 75.9 70.5 66.7 67.5 66.5 75.1 78.7 81.5 1995 81.0 80.0 78.6 76.8 67.8 61.4

  10. Percent of Commercial Natural Gas Deliveries in Oklahoma Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 89.7 90.2 91.7 87.9 89.1 86.6 86.7 85.0 86.8 86.5 89.1 91.2 1990 94.8 93.2 92.0 93.2 92.6 90.6 89.1 89.5 88.5 87.8 89.9 90.6 1991 94.6 95.1 92.9 91.4 90.3 88.7 87.1 85.6 86.8 81.2 87.6 90.6 1992 91.6 92.3 87.7 90.9 85.4 84.1 80.2 85.7 84.3 85.3 86.9 88.1 1993 91.8 92.0 91.7 90.9 89.1 83.1 80.5 82.2 83.4 83.1 91.5 91.9 1994 90.7 93.8 93.1 89.6 88.0 81.3 74.6 73.8 76.1 78.1 85.0 91.2 1995 90.7 89.8 89.7 85.3 84.9 79.3

  11. Percent of Commercial Natural Gas Deliveries in Oregon Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 99.1 99.2 98.7 98.3 97.6 97.6 97.0 97.2 97.4 96.7 97.3 98.0 1990 98.2 98.6 98.4 97.4 97.4 97.5 96.6 96.6 96.9 95.6 96.5 98.1 1991 98.7 98.3 97.8 97.7 97.5 98.0 97.3 97.2 97.2 95.9 97.6 98.0 1992 98.6 98.4 97.4 97.7 97.7 97.8 97.9 96.7 97.8 94.6 97.4 98.4 1993 98.6 99.0 98.5 98.0 97.6 97.8 97.6 97.5 97.3 93.6 96.5 98.2 1994 98.5 98.6 98.3 97.4 97.6 97.7 98.1 97.7 97.9 97.0 97.8 98.6 1995 98.5 98.5 98.2 98.2 97.9 97.8

  12. Percent of Commercial Natural Gas Deliveries in Texas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 87.2 92.4 93.7 92.5 90.6 89.6 93.3 91.2 83.1 87.3 87.9 93.2 1990 91.1 90.1 83.9 90.5 90.3 92.3 90.3 90.7 89.1 87.4 88.0 91.5 1991 92.1 91.3 91.8 92.1 87.7 91.4 91.1 90.4 87.3 80.7 84.8 87.6 1992 86.9 85.6 83.4 83.6 79.5 77.8 77.0 75.9 71.9 72.4 75.3 78.6 1993 85.5 86.7 85.6 85.2 80.1 81.0 82.7 85.1 80.7 81.1 84.2 84.0 1994 82.1 81.6 84.0 83.6 73.8 81.6 88.8 82.6 83.3 75.1 78.9 89.0 1995 72.8 71.3 73.6 70.2 55.0 72.7

  13. Percent of Commercial Natural Gas Deliveries in Virginia Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1989 98.3 98.4 98.1 97.1 96.4 96.4 93.9 94.1 95.4 93.3 96.4 97.9 1990 97.2 95.9 90.6 86.6 94.2 93.9 94.1 91.9 92.0 92.9 92.5 93.7 1991 95.9 96.9 95.2 93.6 91.8 90.8 91.3 89.5 90.2 92.6 90.9 93.5 1992 94.6 93.3 93.7 91.7 88.9 88.4 86.9 85.9 83.8 89.9 86.6 90.3 1993 90.2 91.8 89.8 87.6 90.1 87.6 85.4 77.2 85.9 79.8 88.8 93.2 1994 95.2 97.2 92.5 82.7 85.1 76.7 82.4 72.9 72.9 76.1 79.4 86.1 1995 90.8 90.0 88.7 77.6 76.2 74.7

  14. Percent of Industrial Natural Gas Deliveries in Alabama Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 26.4 25.4 21.7 22.1 19.5 21.1 21.0 21.8 21.4 20.8 22.1 21.9 2002 24.1 22.3 22.5 20.1 18.3 19.6 20.7 21.4 20.0 21.4 24.2 23.5 2003 22.3 22.2 23.9 21.3 20.5 20.8 21.8 18.1 19.7 19.6 21.6 22.3 2004 22.6 23.2 21.9 19.9 20.2 20.8 19.1 19.9 19.1 19.7 20.2 21.8 2005 22.9 23.8 21.3 23.1 23.1 22.6 24.8 22.8 26.3 23.5 23.2 26.2 2006 22.8 23.1 22.4 24.1 23.9 22.2 22.5 23.0 23.4 24.5 24.6 25.6 2007 24.1 24.8 24.4 23.9 24.8 23.9

  15. Percent of Industrial Natural Gas Deliveries in Delaware Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 10.8 29.0 19.8 13.0 14.8 20.4 15.1 11.6 14.2 11.7 14.9 16.3 2002 18.4 19.6 20.4 17.5 21.7 15.6 11.9 9.9 8.0 8.6 10.6 10.3 2003 11.8 16.2 16.3 23.7 21.2 13.2 16.1 11.2 12.5 21.3 14.0 15.5 2004 10.7 11.4 12.2 12.8 9.4 14.4 11.1 12.1 11.5 12.2 10.9 12.8 2005 9.4 13.1 14.7 14.0 10.2 13.3 12.8 10.9 13.5 11.5 12.4 12.5 2006 10.7 9.8 9.6 11.0 8.9 6.2 7.6 7.5 8.5 9.3 8.3 10.7 2007 9.7 14.7 14.4 12.2 8.5 9.2 8.1 8.2 9.2 7.1 8.8

  16. Percent of Industrial Natural Gas Deliveries in Florida Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 6.1 4.5 3.5 4.7 5.9 3.6 1.9 2.9 2.5 2.5 3.3 4.0 2002 4.1 4.5 4.1 3.6 3.5 4.2 3.2 3.5 3.9 3.4 3.8 4.4 2003 4.2 5.9 4.4 3.9 3.5 3.7 3.3 2.6 3.7 3.2 4.4 3.3 2004 4.6 3.8 4.2 3.3 3.3 3.7 2.9 3.2 4.4 3.3 4.1 3.6 2005 2.7 4.1 3.8 3.4 3.1 3.2 3.4 3.5 3.4 3.7 3.5 3.6 2006 3.0 2.8 3.0 2.8 2.3 2.4 5.3 2.9 3.0 2.4 4.2 3.1 2007 2.6 3.1 3.5 2.3 2.9 4.0 2.8 2.6 3.6 2.5 3.7 3.6 2008 2.9 3.3 3.4 2.5 2.9 2.4 2.8 2.5 3.2 3.0 3.3 3.3

  17. Percent of Industrial Natural Gas Deliveries in Georgia Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 28.1 24.7 21.2 18.5 19.8 19.2 17.1 18.0 16.4 17.5 19.5 19.7 2002 20.2 20.6 21.4 19.5 18.0 19.2 17.7 17.9 18.5 18.2 19.4 19.5 2003 16.7 19.1 17.2 16.0 16.8 14.4 12.6 13.4 14.2 15.3 16.5 18.0 2004 18.2 17.2 17.4 15.5 14.9 15.8 15.9 15.1 15.6 13.9 14.0 22.4 2005 19.9 18.4 15.9 17.9 13.7 14.6 12.9 15.6 19.7 18.7 19.4 18.3 2006 18.3 25.0 17.2 12.5 12.7 16.7 15.2 16.2 15.7 18.0 17.8 17.0 2007 17.2 19.3 17.9 18.7 16.7 16.6

  18. Percent of Industrial Natural Gas Deliveries in Idaho Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.3 3.2 2.5 2.2 1.9 1.6 1.5 1.8 1.6 1.5 1.8 2.3 2002 2.7 2.9 2.7 2.5 0.9 1.9 1.8 2.0 1.4 1.6 1.3 2.3 2003 2.2 2.5 2.1 1.8 1.7 1.6 2.0 2.2 1.8 2.0 2.4 3.1 2004 3.2 2.9 2.8 2.0 2.1 2.0 1.9 1.9 1.6 1.5 2.5 3.2 2005 3.0 2.7 2.7 2.4 1.8 1.7 1.6 1.6 2.0 1.7 2.4 3.0 2006 2.5 2.6 2.3 2.0 1.8 1.5 1.6 1.6 1.5 2.0 2.3 2.6 2007 2.3 2.1 1.7 1.8 1.7 1.9 1.7 1.5 1.7 2.0 2.2 2.4 2008 2.2 2.3 2.4 1.8 1.4 1.7 1.6 1.9 1.4 1.8 2.3 2.1

  19. Percent of Industrial Natural Gas Deliveries in Illinois Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 14.3 14.6 11.7 8.9 7.1 6.7 5.8 6.1 7.5 8.7 10.3 12.1 2002 11.2 11.2 11.1 10.3 7.6 7.2 3.9 5.4 6.6 9.4 10.7 12.6 2003 13.4 13.4 12.9 9.2 7.9 6.9 5.7 7.6 5.3 9.1 10.5 10.6 2004 13.5 12.0 9.7 8.1 5.8 6.1 6.4 5.7 5.0 8.3 10.4 11.5 2005 12.9 11.8 10.7 8.2 6.0 4.7 6.3 6.0 6.8 10.6 11.6 12.5 2006 12.3 11.9 11.1 8.8 7.4 4.9 5.3 6.4 6.6 8.5 7.7 9.6 2007 11.5 12.7 12.8 10.6 10.3 7.8 6.0 5.4 6.4 7.5 7.7 10.4 2008 11.7 12.9 12.9

  20. Percent of Industrial Natural Gas Deliveries in Indiana Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 15.1 14.0 7.1 7.1 4.2 3.7 5.2 1.0 5.5 8.3 6.6 10.2 2002 8.4 8.1 10.1 6.4 5.3 6.2 5.3 5.9 6.6 12.5 12.6 12.4 2003 14.2 12.9 8.9 7.2 7.0 5.9 6.2 5.7 9.3 6.2 11.3 9.3 2004 9.2 8.9 8.9 6.9 6.4 6.2 6.9 6.5 7.3 7.9 10.4 11.6 2005 9.8 7.7 9.6 5.8 6.3 5.5 5.5 6.7 8.2 8.2 10.6 8.9 2006 8.2 9.3 7.4 4.3 7.0 5.0 6.4 5.9 6.3 8.2 8.3 8.4 2007 9.3 9.4 5.8 7.6 6.1 5.5 6.0 5.0 6.9 6.8 9.5 9.1 2008 8.4 7.5 7.0 6.7 5.5 4.5 4.7 4.7 5.3

  1. Percent of Industrial Natural Gas Deliveries in Kansas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.0 2.9 3.2 2.9 7.8 9.4 18.1 21.2 16.4 7.7 7.9 4.4 2002 5.0 5.1 6.6 13.0 12.4 16.1 22.4 18.5 11.6 5.7 4.3 4.3 2003 2.4 3.4 3.2 8.2 11.0 6.9 14.8 21.1 9.1 5.3 5.0 3.1 2004 2.7 2.8 4.6 10.3 9.4 14.0 13.4 11.0 9.2 2.6 2.4 2.3 2005 1.7 1.4 1.4 3.2 6.6 8.2 16.3 19.2 9.0 3.8 2.5 1.7 2006 1.7 2.0 3.2 5.7 9.4 12.9 16.2 16.9 9.4 3.6 2.1 2.1 2007 1.3 1.5 1.5 1.4 4.9 9.8 16.2 17.3 9.6 4.0 2.8 1.7 2008 1.6 1.5 2.7 7.5 10.4 13.4

  2. Percent of Industrial Natural Gas Deliveries in Kentucky Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 27.3 21.8 18.9 13.8 17.8 15.8 17.4 17.4 17.3 19.6 16.5 16.9 2002 16.8 18.2 18.9 17.2 15.5 16.5 18.0 19.1 16.3 18.0 18.8 18.4 2003 20.6 20.1 18.7 19.5 19.2 20.3 16.6 16.0 18.1 18.2 18.1 18.4 2004 18.8 18.3 16.3 16.0 14.6 16.6 16.2 15.2 15.5 15.6 17.5 20.3 2005 16.5 17.5 17.3 16.0 15.8 15.2 16.1 14.9 17.4 17.9 17.2 19.7 2006 15.6 16.9 17.6 14.8 14.9 14.2 16.0 15.7 14.6 15.7 15.5 17.6 2007 16.6 18.1 17.0 17.7 16.1 17.5

  3. Percent of Industrial Natural Gas Deliveries in Maryland Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 15.4 11.4 9.7 7.2 6.7 4.5 9.7 6.3 6.3 7.0 6.6 10.3 2002 10.3 11.3 13.0 5.3 5.8 6.0 4.5 5.8 4.3 6.9 7.1 11.9 2003 10.5 13.2 11.4 9.1 7.8 6.6 6.3 6.2 7.1 12.1 11.9 12.9 2004 11.2 10.7 8.8 9.1 6.4 4.7 5.0 5.6 7.2 7.2 9.4 10.9 2005 11.3 11.5 11.3 9.8 5.5 5.1 4.9 5.3 5.2 6.2 9.4 10.7 2006 8.7 10.4 8.9 6.1 4.5 4.4 3.7 3.9 6.5 5.8 7.7 9.2 2007 13.1 13.7 11.0 9.9 6.1 3.7 4.5 3.8 6.9 3.5 8.4 10.4 2008 9.5 10.4 7.5 6.6 4.7 3.1

  4. Percent of Industrial Natural Gas Deliveries in Michigan Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 18.6 17.2 15.3 13.3 9.0 5.7 5.4 5.8 6.0 7.3 9.9 12.0 2002 14.4 13.3 14.0 11.4 8.1 5.7 4.3 5.2 3.9 6.5 10.9 17.6 2003 15.4 14.6 15.1 11.9 8.7 5.9 6.1 3.8 6.7 6.9 9.6 14.4 2004 14.6 15.9 18.0 11.4 7.4 5.7 5.0 4.9 5.0 6.1 9.2 13.3 2005 14.3 17.0 15.8 10.7 8.1 5.3 4.0 3.8 4.6 7.2 9.8 13.8 2006 15.4 16.4 13.5 10.8 7.3 5.1 3.8 4.5 5.2 7.0 10.6 13.6 2007 14.8 17.3 16.9 13.5 11.5 8.4 6.3 6.0 6.2 7.4 11.4 16.6 2008 16.4 17.4

  5. Percent of Industrial Natural Gas Deliveries in Missouri Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 25.6 17.3 19.1 14.4 11.1 10.2 9.5 8.1 9.5 10.2 12.4 32.9 2002 21.7 26.8 26.8 15.8 10.2 9.8 9.3 9.8 10.9 9.0 14.0 18.7 2003 18.8 21.0 19.0 13.6 12.1 12.4 12.5 8.8 10.3 11.1 13.1 16.8 2004 17.4 20.0 16.1 14.7 11.4 10.1 9.6 9.7 10.5 11.0 12.6 15.4 2005 20.1 18.4 16.4 13.9 11.9 9.6 10.1 9.4 10.5 11.2 13.0 17.9 2006 17.2 17.0 14.8 13.7 10.5 10.2 9.9 9.6 10.2 10.8 13.2 16.7 2007 15.4 18.5 16.7 12.3 10.6 10.1 9.7 8.4 8.7 10.3

  6. Percent of Industrial Natural Gas Deliveries in Montana Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.0 3.1 2.8 2.6 2.3 1.9 0.9 0.8 1.0 1.2 1.9 3.0 2002 3.0 2.9 3.6 2.3 2.0 1.2 0.9 0.7 0.8 1.1 2.1 3.4 2003 2.9 2.8 3.3 2.1 1.8 1.0 1.0 0.8 0.8 0.6 1.2 1.6 2004 1.8 2.4 1.9 1.0 1.5 1.4 1.1 0.7 0.8 1.1 1.8 2.4 2005 3.1 2.9 2.2 2.3 1.8 1.4 0.9 0.6 0.7 1.0 1.3 2.3 2006 1.3 1.0 1.1 0.9 0.6 0.4 0.2 0.1 0.2 0.3 0.6 1.0 2007 1.0 1.2 0.9 0.9 0.5 0.4 0.3 0.3 0.4 0.5 0.7 1.0 2008 1.3 1.4 1.8 1.1 0.9 0.5 0.6 0.5 0.5 0.4 0.8 0.9

  7. Percent of Industrial Natural Gas Deliveries in Nebraska Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 25.7 29.6 30.3 21.0 19.7 16.7 8.3 12.9 13.3 18.6 12.0 18.7 2002 22.6 19.5 29.3 17.6 15.0 24.0 7.4 8.4 8.8 16.4 18.9 19.6 2003 20.3 22.7 24.9 19.3 17.1 24.1 8.7 9.7 10.9 15.7 17.7 19.4 2004 19.7 21.4 24.7 19.0 18.3 14.2 9.2 10.6 16.5 18.8 16.0 16.6 2005 24.4 20.0 24.6 18.5 19.0 18.2 10.0 8.6 12.9 15.1 14.2 18.3 2006 13.8 15.1 17.1 13.3 13.0 9.8 8.3 7.7 10.5 11.5 10.2 12.4 2007 12.1 13.0 14.5 11.6 9.7 8.9 7.1 6.4 6.9 9.8

  8. Percent of Industrial Natural Gas Deliveries in Nevada Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 32.2 25.0 16.8 19.7 13.2 12.9 38.9 31.5 31.7 41.7 48.4 68.2 2002 58.3 44.3 59.1 37.8 44.2 40.0 17.5 18.2 19.5 21.2 23.0 28.8 2003 25.6 28.9 20.3 22.8 14.8 13.2 13.6 11.9 12.5 15.8 23.9 21.7 2004 21.4 23.6 14.9 15.1 12.4 11.3 10.7 11.5 13.4 15.9 20.9 22.6 2005 24.3 25.3 17.8 18.4 14.8 14.1 9.6 12.3 13.6 15.9 18.3 19.5 2006 20.9 21.8 22.3 14.7 14.8 11.9 11.7 10.6 11.5 16.9 16.6 23.7 2007 22.1 26.8 17.9 16.6 14.8 11.6

  9. Percent of Industrial Natural Gas Deliveries in New York Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 13.3 14.8 13.4 11.3 10.4 10.0 9.2 10.2 4.2 4.8 15.5 9.7 2002 12.2 12.1 11.1 11.1 11.9 10.9 9.4 10.4 13.5 7.7 9.4 11.2 2003 11.5 11.6 12.1 10.9 10.9 12.3 10.5 12.0 8.0 5.8 10.5 10.1 2004 12.4 13.5 11.5 13.0 11.1 11.5 9.3 8.7 8.0 7.6 8.7 9.8 2005 17.0 16.9 17.4 14.3 10.2 11.1 15.9 16.5 14.3 11.9 12.4 14.8 2006 14.8 14.0 11.5 9.6 7.6 11.4 11.0 9.9 9.6 10.8 13.6 13.7 2007 13.5 18.5 12.7 13.3 10.1 7.8 10.2 9.0 11.0 9.7 11.2

  10. Percent of Industrial Natural Gas Deliveries in North Dakota Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 15.2 13.8 16.8 8.2 5.8 5.5 1.1 4.7 8.0 12.1 13.4 17.9 2002 9.8 10.6 12.6 10.1 7.4 4.8 5.1 5.2 6.7 11.6 14.4 13.2 2003 35.1 44.0 60.0 30.9 17.9 17.7 25.0 32.3 22.3 25.2 44.1 87.2 2004 54.7 46.4 57.3 56.1 36.3 16.0 13.5 58.7 63.2 58.6 55.3 53.4 2005 25.1 17.0 17.7 14.7 9.6 4.4 10.3 15.1 51.6 58.4 45.9 23.2 2006 26.1 18.4 28.8 53.1 58.6 61.2 13.1 13.9 43.4 56.3 52.6 19.1 2007 26.6 28.8 24.7 58.5 61.4 46.9 11.0 38.6

  11. Percent of Industrial Natural Gas Deliveries in Ohio Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 13.1 9.8 10.4 6.2 3.9 3.4 1.5 4.8 1.2 2.9 5.6 6.4 2002 5.4 6.2 5.4 4.8 1.9 1.7 1.6 2.1 2.5 2.3 4.9 6.7 2003 6.3 7.0 5.4 4.0 1.8 2.4 2.0 1.7 1.7 2.4 3.3 4.6 2004 5.1 5.7 4.0 3.8 2.1 2.3 1.7 2.3 2.2 2.7 3.4 4.5 2005 5.7 6.6 4.5 2.6 2.0 1.6 2.1 2.0 1.9 2.6 3.3 4.8 2006 4.6 4.7 4.0 2.7 2.1 2.2 2.2 2.1 2.2 2.2 3.0 3.5 2007 3.9 4.8 3.5 2.6 1.8 1.8 1.9 1.4 1.5 1.2 2.2 3.7 2008 3.9 4.2 3.5 2.5 1.1 1.7 1.9 1.4 1.4 1.6 2.7 4.1

  12. Percent of Industrial Natural Gas Deliveries in Oklahoma Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 9.5 7.8 6.3 4.6 2.7 3.0 2.6 2.5 2.3 2.0 3.3 3.3 2002 5.2 6.1 5.0 3.4 2.4 2.0 1.5 2.7 2.7 1.4 2.9 3.8 2003 3.2 4.0 5.9 2.4 1.4 2.8 2.3 1.3 0.4 1.3 1.4 2.3 2004 2.5 3.0 2.6 1.1 1.1 0.7 1.4 1.3 1.2 1.0 1.1 2.2 2005 2.6 2.4 1.8 5.3 0.8 0.5 0.7 0.3 0.5 0.6 1.1 2.0 2006 2.0 1.4 1.1 1.0 0.7 0.8 0.4 0.8 0.9 1.3 1.3 1.2 2007 1.7 1.9 1.1 0.5 0.8 0.7 0.5 0.5 0.6 1.0 0.8 1.1 2008 1.0 1.5 1.0 0.5 0.6 0.5 0.3 0.2 0.2 0.1 0.3 0.8

  13. Percent of Industrial Natural Gas Deliveries in Oregon Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 27.2 17.0 18.7 20.3 20.5 20.7 23.5 26.8 24.2 21.1 20.6 21.4 2002 18.9 20.8 20.3 19.3 12.6 11.1 10.1 8.9 10.8 11.5 12.6 12.8 2003 13.8 14.3 13.8 12.7 16.1 16.2 15.5 15.6 19.2 21.1 24.5 25.4 2004 25.1 24.3 24.2 23.3 21.8 22.9 22.6 22.1 23.8 23.5 31.1 33.4 2005 34.3 34.3 32.7 31.0 30.2 30.1 31.4 32.1 33.6 35.0 34.8 38.2 2006 36.0 36.3 35.1 26.5 25.4 24.3 23.2 21.2 21.6 20.5 21.5 24.0 2007 23.6 24.3 22.9 21.8 20.8 21.8

  14. Percent of Industrial Natural Gas Deliveries in Rhode Island Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 41.4 29.5 26.1 37.6 29.0 29.3 26.0 26.2 22.4 26.8 29.3 13.6 2002 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 27.3 2003 15.7 18.9 21.5 19.6 26.7 11.7 16.8 18.8 18.6 22.1 18.5 22.3 2004 13.9 16.7 14.5 16.8 21.1 11.7 16.7 15.3 16.0 19.4 10.5 23.0 2005 17.8 14.7 15.9 11.0 16.3 16.5 12.9 13.8 16.3 13.2 16.5 19.7 2006 18.6 18.7 16.4 15.0 12.5 13.3 8.8 10.5 11.4 12.8 10.5 15.7 2007 13.0 19.0 15.1 12.7 10.1 14.3

  15. Percent of Industrial Natural Gas Deliveries in South Dakota Represented by

    U.S. Energy Information Administration (EIA) Indexed Site

    the Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 51.1 54.8 52.4 50.8 35.1 32.7 28.6 26.5 24.1 33.3 45.5 44.5 2002 16.4 18.6 13.2 18.4 14.1 10.7 9.5 9.0 19.5 27.6 30.6 34.9 2003 26.3 24.4 27.3 26.0 23.9 22.4 24.7 23.3 25.3 24.8 26.8 29.1 2004 29.0 28.5 30.0 24.4 26.1 28.2 22.6 27.6 24.8 27.2 33.3 31.0 2005 28.5 28.0 33.6 26.7 31.6 26.1 28.9 31.7 27.8 30.4 33.3 35.8 2006 38.6 36.4 37.5 31.3 39.2 30.3 27.6 30.1 27.8 31.5 33.7 35.4 2007 33.8 31.8 31.3 15.2 16.2 12.1

  16. Percent of Industrial Natural Gas Deliveries in Texas Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 35.8 35.7 33.7 34.2 32.9 34.2 36.5 34.8 37.5 36.0 35.1 34.5 2002 30.8 32.1 30.6 50.7 45.4 50.5 49.5 46.5 46.3 43.4 43.8 44.8 2003 40.1 39.5 39.1 39.5 39.8 36.1 50.7 46.2 49.0 47.8 47.2 48.2 2004 48.4 49.3 46.7 49.4 49.0 51.9 51.3 49.9 47.4 46.0 46.6 48.9 2005 58.7 57.0 56.9 55.8 55.8 54.9 56.8 55.0 52.5 49.7 51.1 49.5 2006 52.1 52.1 54.8 55.6 55.3 54.7 58.1 57.4 54.1 57.9 56.5 55.6 2007 52.7 51.6 52.4 53.0 54.2 56.0

  17. Percent of Industrial Natural Gas Deliveries in Utah Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 11.9 9.2 10.7 10.1 9.5 9.5 10.1 11.5 9.4 9.2 11.0 13.8 2002 14.0 13.8 12.6 15.8 13.0 13.4 12.1 13.6 13.5 12.8 15.0 13.7 2003 14.5 14.6 13.1 14.9 14.1 13.2 11.8 12.7 13.8 13.9 13.2 13.1 2004 13.8 15.2 13.3 14.6 12.7 12.7 18.4 46.5 26.9 24.3 23.4 23.8 2005 18.4 18.6 18.4 17.7 18.6 21.3 20.0 21.2 21.3 21.5 18.3 19.9 2006 22.3 23.2 22.5 24.0 24.0 24.7 24.2 13.9 13.4 15.3 15.8 16.0 2007 14.4 13.6 14.4 14.6 13.3 12.7 14.5

  18. Percent of Industrial Natural Gas Deliveries in Vermont Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 95.2 80.1 79.2 79.2 69.2 67.8 65.6 67.7 70.7 73.3 76.0 79.0 2002 77.7 78.3 78.6 78.2 72.6 66.8 66.7 65.1 66.8 72.6 76.2 85.5 2003 87.3 100.0 100.0 75.7 74.2 72.4 75.0 67.7 70.4 73.2 77.4 80.1 2004 79.9 84.7 80.7 82.2 78.6 73.8 70.0 68.3 69.2 76.4 82.1 83.7 2005 83.6 86.4 82.6 78.0 74.4 71.5 72.1 83.9 94.3 82.4 75.7 96.4 2006 93.0 87.6 82.4 77.2 73.3 72.9 71.7 69.7 71.5 76.3 75.1 79.5 2007 83.0 84.1 81.8 76.2 72.2 71.7

  19. Percent of Industrial Natural Gas Deliveries in Virginia Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 27.4 24.1 20.8 18.6 13.3 23.5 10.9 12.9 15.0 24.1 11.2 15.4 2002 16.8 19.7 18.3 14.0 14.1 10.8 10.7 11.0 13.2 16.0 19.3 22.9 2003 25.6 22.5 16.5 23.9 12.9 9.1 13.4 19.6 12.6 17.7 17.9 17.0 2004 21.5 18.8 18.7 16.8 14.9 11.2 15.6 14.5 8.9 15.1 16.1 21.1 2005 18.3 21.6 18.1 19.3 15.7 16.6 9.5 11.6 16.0 18.7 21.5 20.0 2006 21.6 17.0 16.0 13.2 13.8 10.4 9.5 8.0 12.7 14.5 16.0 15.7 2007 17.0 20.0 17.1 17.2 15.4 9.5 10.3

  20. Percent of Industrial Natural Gas Deliveries in Wyoming Represented by the

    U.S. Energy Information Administration (EIA) Indexed Site

    Price (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 3.6 3.9 3.7 2.8 1.9 2.1 1.8 2.0 2.0 2.3 2.2 1.8 2002 3.3 3.6 3.6 3.0 3.6 2.4 2.6 2.8 2.8 3.2 2.1 2.5 2003 2.4 2.4 2.1 1.8 1.4 1.4 1.4 1.3 1.4 1.4 2.2 2.0 2004 2.0 1.9 2.2 1.9 1.9 1.9 2.7 1.7 2.3 2.0 2.3 2.4 2005 2.8 5.0 5.8 4.5 4.1 3.5 2.8 2.5 2.5 2.8 4.2 4.4 2006 4.4 4.5 4.2 3.9 3.3 2.7 2.2 2.3 2.8 3.3 3.8 3.7 2007 4.3 4.1 3.4 3.7 2.8 2.0 1.5 1.7 1.9 2.9 3.3 3.3 2008 3.8 3.7 3.9 3.9 2.9 2.1 2.0 1.7 2.5 3.0 3.6 3.9

  1. Laser Phase Errors in Seeded FELs

    SciTech Connect (OSTI)

    Ratner, D.; Fry, A.; Stupakov, G.; White, W.; /SLAC

    2012-03-28

    Harmonic seeding of free electron lasers has attracted significant attention from the promise of transform-limited pulses in the soft X-ray region. Harmonic multiplication schemes extend seeding to shorter wavelengths, but also amplify the spectral phase errors of the initial seed laser, and may degrade the pulse quality. In this paper we consider the effect of seed laser phase errors in high gain harmonic generation and echo-enabled harmonic generation. We use simulations to confirm analytical results for the case of linearly chirped seed lasers, and extend the results for arbitrary seed laser envelope and phase.

  2. Raman Thermometry: Comparing Methods to Minimize Error. (Conference...

    Office of Scientific and Technical Information (OSTI)

    Raman Thermometry: Comparing Methods to Minimize Error. Citation Details In-Document Search Title: Raman Thermometry: Comparing Methods to Minimize Error. Abstract not provided....

  3. Table 1b. Relative Standard Errors for Effective, Occupied, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    b.Relative Standard Errors Table 1b. Relative Standard Errors for Effective Occupied, and Vacant Square Footage, 1992 Building Characteristics All Buildings (thousand) Total...

  4. Intel C++ compiler error: stl_iterator_base_types.h

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    C++ compiler error: stliteratorbasetypes.h Intel C++ compiler error: stliteratorbasetypes.h December 7, 2015 by Scott French Because the system-supplied version of GCC is...

  5. Error estimates for fission neutron outputs (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Error estimates for fission neutron outputs Citation Details In-Document Search Title: Error estimates for fission neutron outputs You are accessing a document from the...

  6. Internal compiler error for function pointer with identically...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Internal compiler error for function pointer with identically named arguments Internal compiler error for function pointer with identically named arguments June 9, 2015 by Scott...

  7. Table 2b. Relative Standard Errors for Electricity Consumption...

    U.S. Energy Information Administration (EIA) Indexed Site

    2b. Relative Standard Errors for Electricity Table 2b. Relative Standard Errors for Electricity Consumption and Electricity Intensities, per Square Foot, Specific to Occupied and...

  8. Error Analysis in Nuclear Density Functional Theory (Journal...

    Office of Scientific and Technical Information (OSTI)

    Error Analysis in Nuclear Density Functional Theory Citation Details In-Document Search Title: Error Analysis in Nuclear Density Functional Theory Authors: Schunck, N ; McDonnell,...

  9. Error Analysis in Nuclear Density Functional Theory (Journal...

    Office of Scientific and Technical Information (OSTI)

    Error Analysis in Nuclear Density Functional Theory Citation Details In-Document Search Title: Error Analysis in Nuclear Density Functional Theory You are accessing a document...

  10. Common Errors and Innovative Solutions Transcript

    Broader source: Energy.gov [DOE]

    An example of case studies, mainly by showing photos of errors and good examples, then discussing the purpose of the home energy professional guidelines and certification. There may be more examples of what not to do only because these were good learning opportunities.

  11. Error Detection, Factorization and Correction for Multi-View Scene Reconstruction from Aerial Imagery

    SciTech Connect (OSTI)

    Hess-Flores, M

    2011-11-10

    Scene reconstruction from video sequences has become a prominent computer vision research area in recent years, due to its large number of applications in fields such as security, robotics and virtual reality. Despite recent progress in this field, there are still a number of issues that manifest as incomplete, incorrect or computationally-expensive reconstructions. The engine behind achieving reconstruction is the matching of features between images, where common conditions such as occlusions, lighting changes and texture-less regions can all affect matching accuracy. Subsequent processes that rely on matching accuracy, such as camera parameter estimation, structure computation and non-linear parameter optimization, are also vulnerable to additional sources of error, such as degeneracies and mathematical instability. Detection and correction of errors, along with robustness in parameter solvers, are a must in order to achieve a very accurate final scene reconstruction. However, error detection is in general difficult due to the lack of ground-truth information about the given scene, such as the absolute position of scene points or GPS/IMU coordinates for the camera(s) viewing the scene. In this dissertation, methods are presented for the detection, factorization and correction of error sources present in all stages of a scene reconstruction pipeline from video, in the absence of ground-truth knowledge. Two main applications are discussed. The first set of algorithms derive total structural error measurements after an initial scene structure computation and factorize errors into those related to the underlying feature matching process and those related to camera parameter estimation. A brute-force local correction of inaccurate feature matches is presented, as well as an improved conditioning scheme for non-linear parameter optimization which applies weights on input parameters in proportion to estimated camera parameter errors. Another application is in reconstruction pre-processing, where an algorithm detects and discards frames that would lead to inaccurate feature matching, camera pose estimation degeneracies or mathematical instability in structure computation based on a residual error comparison between two different match motion models. The presented algorithms were designed for aerial video but have been proven to work across different scene types and camera motions, and for both real and synthetic scenes.

  12. Two-Sensor System for Absolute Age and Temperature History - Energy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Innovation Portal Startup America Startup America Industrial Technologies Industrial Technologies Find More Like This Return to Search Two-Sensor System for Absolute Age and Temperature History Sandia National Laboratories Contact SNL About This Technology Publications: PDF Document Publication Market Sheet (718 KB) Technology Marketing Summary Numerous commercial and military applications require knowing the absolute age and/or temperature history of a device or system starting from the

  13. WIPP Weatherization: Common Errors and Innovative Solutions Presentation

    Broader source: Energy.gov [DOE]

    This presentation contains information on WIPP Weatherization: Common Errors and Innovative Solutions.

  14. Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Ela, E.; Milligan, M.

    2011-10-01

    This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

  15. Analysis of Solar Two Heliostat Tracking Error Sources

    SciTech Connect (OSTI)

    Jones, S.A.; Stone, K.W.

    1999-01-28

    This paper explores the geometrical errors that reduce heliostat tracking accuracy at Solar Two. The basic heliostat control architecture is described. Then, the three dominant error sources are described and their effect on heliostat tracking is visually illustrated. The strategy currently used to minimize, but not truly correct, these error sources is also shown. Finally, a novel approach to minimizing error is presented.

  16. Detecting Soft Errors in Stencil based Computations

    SciTech Connect (OSTI)

    Sharma, V.; Gopalkrishnan, G.; Bronevetsky, G.

    2015-05-06

    Given the growing emphasis on system resilience, it is important to develop software-level error detectors that help trap hardware-level faults with reasonable accuracy while minimizing false alarms as well as the performance overhead introduced. We present a technique that approaches this idea by taking stencil computations as our target, and synthesizing detectors based on machine learning. In particular, we employ linear regression to generate computationally inexpensive models which form the basis for error detection. Our technique has been incorporated into a new open-source library called SORREL. In addition to reporting encouraging experimental results, we demonstrate techniques that help reduce the size of training data. We also discuss the efficacy of various detectors synthesized, as well as our future plans.

  17. Errors in response calculations for beams

    SciTech Connect (OSTI)

    Wada, H.; Wurburton, G.B.

    1985-05-01

    When the finite element method is used to idealize a structure, its dynamic response can be determined from the governing matrix equation by the normal mode method or by one of the many approximate direct integration methods. In either method the approximate data of the finite element idealization are used, but further assumptions are introduced by the direct integration scheme. It is the purpose of this paper to study these errors for a simple structure. The transient flexural vibrations of a uniform cantilever beam, which is subjected to a transverse force at the free end, are determined by the Laplace transform method. Comparable responses are obtained for a finite element idealization of the beam, using the normal mode and Newmark average acceleration methods; the errors associated with the approximate methods are studied. If accuracy has priority and the quantity of data is small, the normal mode method is recommended; however, if the quantity of data is large, the Newmark method is useful.

  18. Redundancy and Error Resilience in Boolean Networks

    SciTech Connect (OSTI)

    Peixoto, Tiago P.

    2010-01-29

    We consider the effect of noise in sparse Boolean networks with redundant functions. We show that they always exhibit a nonzero error level, and the dynamics undergoes a phase transition from nonergodicity to ergodicity, as a function of noise, after which the system is no longer capable of preserving a memory of its initial state. We obtain upper bounds on the critical value of noise for networks of different sparsity.

  19. Improving Memory Error Handling Using Linux

    SciTech Connect (OSTI)

    Carlton, Michael Andrew [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Blanchard, Sean P. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Debardeleben, Nathan A. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2014-07-25

    As supercomputers continue to get faster and more powerful in the future, they will also have more nodes. If nothing is done, then the amount of memory in supercomputer clusters will soon grow large enough that memory failures will be unmanageable to deal with by manually replacing memory DIMMs. "Improving Memory Error Handling Using Linux" is a process oriented method to solve this problem by using the Linux kernel to disable (offline) faulty memory pages containing bad addresses, preventing them from being used again by a process. The process of offlining memory pages simplifies error handling and results in reducing both hardware and manpower costs required to run Los Alamos National Laboratory (LANL) clusters. This process will be necessary for the future of supercomputing to allow the development of exascale computers. It will not be feasible without memory error handling to manually replace the number of DIMMs that will fail daily on a machine consisting of 32-128 petabytes of memory. Testing reveals the process of offlining memory pages works and is relatively simple to use. As more and more testing is conducted, the entire process will be automated within the high-performance computing (HPC) monitoring software, Zenoss, at LANL.

  20. A method for in situ absolute DD yield calibration of neutron time-of-flight detectors on OMEGA using CR-39-based proton detectors

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Waugh, C. J.; Rosenberg, M. J.; Zylstra, A. B.; Frenje, J. A.; Seguin, F. H.; Petrasso, R. D.; Glebov, V. Yu.; Sangster, T. C.; Stoeckl, C.

    2015-05-27

    Neutron time of flight (nTOF) detectors are used routinely to measure the absolute DD neutron yield at OMEGA. To check the DD yield calibration of these detectors, originally calibrated using indium activation systems, which in turn were cross-calibrated to NOVA nTOF detectors in the early 1990s, a direct in situ calibration method using CR-39 range filter proton detectors has been successfully developed. By measuring DD neutron and proton yields from a series of exploding pusher implosions at OMEGA, a yield calibration coefficient of 1.09 0.02 (relative to the previous coefficient) was determined for the 3m nTOF detector. In addition,morecomparison of these and other shots indicates that significant reduction in charged particle flux anisotropies is achieved when bang time occurs significantly (on the order of 500 ps) after the trailing edge of the laser pulse. This is an important observation as the main source of the yield calibration error is due to particle anisotropies caused by field effects. The results indicate that the CR-39-nTOF in situ calibration method can serve as a valuable technique for calibrating and reducing the uncertainty in the DD absolute yield calibration of nTOF detector systems on OMEGA, the National Ignition Facility, and laser megajoule.less

  1. A method for in situ absolute DD yield calibration of neutron time-of-flight detectors on OMEGA using CR-39-based proton detectors

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Waugh, C. J.; Rosenberg, M. J.; Zylstra, A. B.; Frenje, J. A.; Seguin, F. H.; Petrasso, R. D.; Glebov, V. Yu.; Sangster, T. C.; Stoeckl, C.

    2015-05-27

    Neutron time of flight (nTOF) detectors are used routinely to measure the absolute DD neutron yield at OMEGA. To check the DD yield calibration of these detectors, originally calibrated using indium activation systems, which in turn were cross-calibrated to NOVA nTOF detectors in the early 1990s, a direct in situ calibration method using CR-39 range filter proton detectors has been successfully developed. By measuring DD neutron and proton yields from a series of exploding pusher implosions at OMEGA, a yield calibration coefficient of 1.09 ± 0.02 (relative to the previous coefficient) was determined for the 3m nTOF detector. In addition,more » comparison of these and other shots indicates that significant reduction in charged particle flux anisotropies is achieved when bang time occurs significantly (on the order of 500 ps) after the trailing edge of the laser pulse. This is an important observation as the main source of the yield calibration error is due to particle anisotropies caused by field effects. The results indicate that the CR-39-nTOF in situ calibration method can serve as a valuable technique for calibrating and reducing the uncertainty in the DD absolute yield calibration of nTOF detector systems on OMEGA, the National Ignition Facility, and laser megajoule.« less

  2. Error Reduction in Weigh-In-Motion

    Energy Science and Technology Software Center (OSTI)

    2007-09-21

    Federal and State agencies need certifiable vehicle weights for various applications, such as highway inspections, border security, check points, and port entries. ORNL weigh-in-motion (WIM) technology was previously unable to provide certifiable weights, due to natural oscillations, such as vehicle bounding and rocking. Recent ORNL work demonstrated a novel filter to remove these oscillations. This work shows further filtering improvements to enable certifiable weight measurements (error < 0.1%) for a higher traffic volume with lessmore » effort (elimination of redundant weighing)« less

  3. Error Reduction for Weigh-In-Motion

    SciTech Connect (OSTI)

    Hively, Lee M; Abercrombie, Robert K; Scudiere, Matthew B; Sheldon, Frederick T

    2009-01-01

    Federal and State agencies need certifiable vehicle weights for various applications, such as highway inspections, border security, check points, and port entries. ORNL weigh-in-motion (WIM) technology was previously unable to provide certifiable weights, due to natural oscillations, such as vehicle bouncing and rocking. Recent ORNL work demonstrated a novel filter to remove these oscillations. This work shows further filtering improvements to enable certifiable weight measurements (error < 0.1%) for a higher traffic volume with less effort (elimination of redundant weighing).

  4. Dynamic frequency-domain interferometer for absolute distance measurements with high resolution

    SciTech Connect (OSTI)

    Weng, Jidong; Liu, Shenggang; Ma, Heli; Tao, Tianjiong; Wang, Xiang; Liu, Cangli; Tan, Hua

    2014-11-15

    A unique dynamic frequency-domain interferometer for absolute distance measurement has been developed recently. This paper presents the working principle of the new interferometric system, which uses a photonic crystal fiber to transmit the wide-spectrum light beams and a high-speed streak camera or frame camera to record the interference stripes. Preliminary measurements of harmonic vibrations of a speaker, driven by a radio, and the changes in the tip clearance of a rotating gear wheel show that this new type of interferometer has the ability to perform absolute distance measurements both with high time- and distance-resolution.

  5. Resolved: "error while loading shared libraries: libalpslli.so...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    "error while loading shared libraries: libalpslli.so.0" with serial codes on login nodes Resolved: "error while loading shared libraries: libalpslli.so.0" with serial codes on...

  6. MPI errors from cray-mpich/7.3.0

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MPI errors from cray-mpich7.3.0 MPI errors from cray-mpich7.3.0 January 6, 2016 by Ankit Bhagatwala A change in the MPICH2 library that now strictly enforces non-overlapping...

  7. Pressure Change Measurement Leak Testing Errors

    SciTech Connect (OSTI)

    Pryor, Jeff M; Walker, William C

    2014-01-01

    A pressure change test is a common leak testing method used in construction and Non-Destructive Examination (NDE). The test is known as being a fast, simple, and easy to apply evaluation method. While this method may be fairly quick to conduct and require simple instrumentation, the engineering behind this type of test is more complex than is apparent on the surface. This paper intends to discuss some of the more common errors made during the application of a pressure change test and give the test engineer insight into how to correctly compensate for these factors. The principals discussed here apply to ideal gases such as air or other monoatomic or diatomic gasses; however these same principals can be applied to polyatomic gasses or liquid flow rate with altered formula specific to those types of tests using the same methodology.

  8. Absolutely continuous spectrum implies ballistic transport for quantum particles in a random potential on tree graphs

    SciTech Connect (OSTI)

    Aizenman, Michael; Warzel, Simone

    2012-09-15

    We discuss the dynamical implications of the recent proof that for a quantum particle in a random potential on a regular tree graph absolutely continuous (ac) spectrum occurs non-perturbatively through rare fluctuation-enabled resonances. The main result is spelled in the title.

  9. Characterizing absolute piezoelectric microelectromechanical system displacement using an atomic force microscope

    SciTech Connect (OSTI)

    Evans, J. Chapman, S.

    2014-08-14

    Piezoresponse Force Microscopy (PFM) is a popular tool for the study of ferroelectric and piezoelectric materials at the nanometer level. Progress in the development of piezoelectric MEMS fabrication is highlighting the need to characterize absolute displacement at the nanometer and Ångstrom scales, something Atomic Force Microscopy (AFM) might do but PFM cannot. Absolute displacement is measured by executing a polarization measurement of the ferroelectric or piezoelectric capacitor in question while monitoring the absolute vertical position of the sample surface with a stationary AFM cantilever. Two issues dominate the execution and precision of such a measurement: (1) the small amplitude of the electrical signal from the AFM at the Ångstrom level and (2) calibration of the AFM. The authors have developed a calibration routine and test technique for mitigating the two issues, making it possible to use an atomic force microscope to measure both the movement of a capacitor surface as well as the motion of a micro-machine structure actuated by that capacitor. The theory, procedures, pitfalls, and results of using an AFM for absolute piezoelectric measurement are provided.

  10. RSE Table N8.1 and N8.2. Relative Standard Errors for Tables N8.1 and N8.2

    U.S. Energy Information Administration (EIA) Indexed Site

    1 and N8.2. Relative Standard Errors for Tables N8.1 and N8.2;" " Unit: Percents." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected","Wood and Other","Biomass","Components" ,,,,,,,"Coal Components",,,"Coke",,"Electricity","Components",,,,,,,,,,,,,"Natural Gas","Components",,"Steam","Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood

  11. "RSE Table C11.3. Relative Standard Errors for Table C11.3;"

    U.S. Energy Information Administration (EIA) Indexed Site

    1.3. Relative Standard Errors for Table C11.3;" " Unit: Percents." ,,,"Electricity","Components",,,"Natural","Gas","Components",,"Steam","Components" ,,,,"Electricity","Electricity",,,"Natural Gas","Natural Gas",,,"Steam","Steam" " "," ",,,"from Only","from Both",,,"from Only","from

  12. "RSE Table N11.3. Relative Standard Errors for Table N11.3;"

    U.S. Energy Information Administration (EIA) Indexed Site

    3. Relative Standard Errors for Table N11.3;" " Unit: Percents." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from

  13. "RSE Table N11.4. Relative Standard Errors for Table N11.4;"

    U.S. Energy Information Administration (EIA) Indexed Site

    4. Relative Standard Errors for Table N11.4;" " Unit: Percents." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from

  14. A technique for human error analysis (ATHEANA)

    SciTech Connect (OSTI)

    Cooper, S.E.; Ramey-Smith, A.M.; Wreathall, J.; Parry, G.W.

    1996-05-01

    Probabilistic risk assessment (PRA) has become an important tool in the nuclear power industry, both for the Nuclear Regulatory Commission (NRC) and the operating utilities. Human reliability analysis (HRA) is a critical element of PRA; however, limitations in the analysis of human actions in PRAs have long been recognized as a constraint when using PRA. A multidisciplinary HRA framework has been developed with the objective of providing a structured approach for analyzing operating experience and understanding nuclear plant safety, human error, and the underlying factors that affect them. The concepts of the framework have matured into a rudimentary working HRA method. A trial application of the method has demonstrated that it is possible to identify potentially significant human failure events from actual operating experience which are not generally included in current PRAs, as well as to identify associated performance shaping factors and plant conditions that have an observable impact on the frequency of core damage. A general process was developed, albeit in preliminary form, that addresses the iterative steps of defining human failure events and estimating their probabilities using search schemes. Additionally, a knowledge- base was developed which describes the links between performance shaping factors and resulting unsafe actions.

  15. Particle visualization in high-power impulse magnetron sputtering. II. Absolute density dynamics

    SciTech Connect (OSTI)

    Britun, Nikolay Palmucci, Maria; Konstantinidis, Stephanos; Snyders, Rony

    2015-04-28

    Time-resolved characterization of an Ar-Ti high-power impulse magnetron sputtering discharge has been performed. The present, second, paper of the study is related to the discharge characterization in terms of the absolute density of species using resonant absorption spectroscopy. The results on the time-resolved density evolution of the neutral and singly-ionized Ti ground state atoms as well as the metastable Ti and Ar atoms during the discharge on- and off-time are presented. Among the others, the questions related to the inversion of population of the Ti energy sublevels, as well as to re-normalization of the two-dimensional density maps in terms of the absolute density of species, are stressed.

  16. Absolute total and partial dissociative cross sections of pyrimidine at electron and proton intermediate impact velocities

    SciTech Connect (OSTI)

    Wolff, Wania Luna, Hugo; Sigaud, Lucas; Montenegro, Eduardo C.; Tavares, Andre C.

    2014-02-14

    Absolute total non-dissociative and partial dissociative cross sections of pyrimidine were measured for electron impact energies ranging from 70 to 400 eV and for proton impact energies from 125 up to 2500 keV. MOs ionization induced by coulomb interaction were studied by measuring both ionization and partial dissociative cross sections through time of flight mass spectrometry and by obtaining the branching ratios for fragment formation via a model calculation based on the Born approximation. The partial yields and the absolute cross sections measured as a function of the energy combined with the model calculation proved to be a useful tool to determine the vacancy population of the valence MOs from which several sets of fragment ions are produced. It was also a key point to distinguish the dissociation regimes induced by both particles. A comparison with previous experimental results is also presented.

  17. Absolute intensity calibration of the 32-channel heterodyne radiometer on experimental advanced superconducting tokamak

    SciTech Connect (OSTI)

    Liu, X.; Zhao, H. L.; Liu, Y. Li, E. Z.; Han, X.; Ti, A.; Hu, L. Q.; Zhang, X. D.; Domier, C. W.; Luhmann, N. C.

    2014-09-15

    This paper presents the results of the in situ absolute intensity calibration for the 32-channel heterodyne radiometer on the experimental advanced superconducting tokamak. The hot/cold load method is adopted, and the coherent averaging technique is employed to improve the signal to noise ratio. Measured spectra and electron temperature profiles are compared with those from an independent calibrated Michelson interferometer, and there is a relatively good agreement between the results from the two different systems.

  18. Absolute calibration of a charge-coupled device camera with twin beams

    SciTech Connect (OSTI)

    Meda, A.; Ruo-Berchera, I. Degiovanni, I. P.; Brida, G.; Rastello, M. L.; Genovese, M.

    2014-09-08

    We report on the absolute calibration of a Charge-Coupled Device (CCD) camera by exploiting quantum correlation. This method exploits a certain number of spatial pairwise quantum correlated modes produced by spontaneous parametric-down-conversion. We develop a measurement model accounting for all the uncertainty contributions, and we reach the relative uncertainty of 0.3% in low photon flux regime. This represents a significant step forward for the characterization of (scientific) CCDs used in mesoscopic light regime.

  19. Glassy carbon as an absolute intensity calibration standard for small-angle scattering.

    SciTech Connect (OSTI)

    Zhang, F.; Ilavsky, J.; Long, G.; Allen, A.; Quintana, J.; Jemian, P.; NIST

    2010-05-01

    Absolute calibration of small-angle scattering (SAS) intensity data (measured in terms of the differential scattering cross section per unit sample volume per unit solid angle) is essential for many important aspects of quantitative SAS analysis, such as obtaining the number density, volume fraction, and specific surface area of the scatterers. It also enables scattering data from different instruments (light, X-ray, or neutron scattering) to be combined, and it can even be useful to detect the existence of artifacts in the experimental data. Different primary or secondary calibration methods are available. In the latter case, absolute intensity calibration requires a stable artifact with the necessary scattering profile. Glassy carbon has sometimes been selected as this intensity calibration standard. Here we review the spatial homogeneity and temporal stability of one type of commercially available glassy carbon that is being used as an intensity calibration standard at a number of SAS facilities. We demonstrate that glassy carbon is sufficiently homogeneous and stable during routine use to be relied upon as a suitable standard for absolute intensity calibration of SAS data.

  20. Introducing an Absolute Cavity Pyrgeometer (ACP) for Improving the Atmospheric Longwave Irradiance Measurement (Poster)

    SciTech Connect (OSTI)

    Reda, I.; Stoffel, T.

    2012-03-01

    Advancing climate change research requires accurate and traceable measurement of the atmospheric longwave irradiance. Current measurement capabilities are limited to an estimated uncertainty of larger than +/- 4 W/m2 using the interim World Infrared Standard Group (WISG). WISG is traceable to the Systeme international d'unites (SI) through blackbody calibrations. An Absolute Cavity Pyrgeometer (ACP) is being developed to measure absolute outdoor longwave irradiance with traceability to SI using the temperature scale (ITS-90) and the sky as the reference source, instead of a blackbody. The ACP was designed by NREL and optically characterized by the National Institute of Standards and Technology (NIST). Under clear-sky and stable conditions, the responsivity of the ACP is determined by lowering the temperature of the cavity and calculating the rate of change of the thermopile output voltage versus the changing net irradiance. The absolute atmospheric longwave irradiance is then calculated with an uncertainty of +/- 3.96 W/m2 with traceability to SI. The measured irradiance by the ACP was compared with the irradiance measured by two pyrgeometers calibrated by the World Radiation Center with traceability to the WISG.

  1. Introducing an Absolute Cavity Pyrgeometer for Improving the Atmospheric Longwave Irradiance Measurement (Presentation)

    SciTech Connect (OSTI)

    Reda, I.; Hansen, L.; Zeng, J.

    2012-08-01

    Advancing climate change research requires accurate and traceable measurement of the atmospheric longwave irradiance. Current measurement capabilities are limited to an estimated uncertainty of larger than +/- 4 W/m2 using the interim World Infrared Standard Group (WISG). WISG is traceable to the Systeme international d'unites (SI) through blackbody calibrations. An Absolute Cavity Pyrgeometer (ACP) is being developed to measure absolute outdoor longwave irradiance with traceability to SI using the temperature scale (ITS-90) and the sky as the reference source, instead of a blackbody. The ACP was designed by NREL and optically characterized by the National Institute of Standards and Technology (NIST). Under clear-sky and stable conditions, the responsivity of the ACP is determined by lowering the temperature of the cavity and calculating the rate of change of the thermopile output voltage versus the changing net irradiance. The absolute atmospheric longwave irradiance is then calculated with an uncertainty of +/- 3.96 W/m2 with traceability to SI. The measured irradiance by the ACP was compared with the irradiance measured by two pyrgeometers calibrated by the World Radiation Center with traceability to the WISG. A total of 408 readings was collected over three different clear nights. The calculated irradiance measured by the ACP was 1.5 W/m2 lower than that measured by the two pyrgeometers that are traceable to WISG. Further development and characterization of the ACP might contribute to the effort of improving the uncertainty and traceability of WISG to SI.

  2. Polaractivation for classical zero-error capacity of qudit channels

    SciTech Connect (OSTI)

    Gyongyosi, Laszlo; Imre, Sandor

    2014-12-04

    We introduce a new phenomenon for zero-error transmission of classical information over quantum channels that initially were not able for zero-error classical communication. The effect is called polaractivation, and the result is similar to the superactivation effect. We use the Choi-Jamiolkowski isomorphism and the Schmidt-theorem to prove the polaractivation of classical zero-error capacity and define the polaractivator channel coding scheme.

  3. Internal compiler error for function pointer with identically named

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    arguments Internal compiler error for function pointer with identically named arguments Internal compiler error for function pointer with identically named arguments June 9, 2015 by Scott French, NERSC USG Status: Bug 21435 reported to PGI For pgcc versions after 12.x (up through 12.9 is fine, but 13.x and 14.x are not), you may observe an internal compiler error associated with function pointer prototypes when named arguments are used. Specifically, if a function pointer type is defined

  4. U-058: Apache Struts Conversion Error OGNL Expression Injection...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    in Apache Struts. A remote user can execute arbitrary commands on the target system. PLATFORM: Apache Struts 2.x ABSTRACT: Apache Struts Conversion Error OGNL Expression...

  5. Info-Gap Analysis of Truncation Errors in Numerical Simulations...

    Office of Scientific and Technical Information (OSTI)

    Title: Info-Gap Analysis of Truncation Errors in Numerical Simulations. Authors: Kamm, James R. ; Witkowski, Walter R. ; Rider, William J. ; Trucano, Timothy Guy ; Ben-Haim, Yakov. ...

  6. Info-Gap Analysis of Numerical Truncation Errors. (Conference...

    Office of Scientific and Technical Information (OSTI)

    Title: Info-Gap Analysis of Numerical Truncation Errors. Authors: Kamm, James R. ; Witkowski, Walter R. ; Rider, William J. ; Trucano, Timothy Guy ; Ben-Haim, Yakov. Publication ...

  7. A posteriori error analysis of parameterized linear systems using...

    Office of Scientific and Technical Information (OSTI)

    Title: A posteriori error analysis of parameterized linear systems using spectral methods. Abstract not provided. Authors: Constantine, Paul ; Butler, Troy Publication Date: ...

  8. WIPP Weatherization: Common Errors and Innovative Solutions Presentati...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    More Documents & Publications Common Errors and Innovative Solutions Transcript Building ... America Best Practices Series: Volume 12. Energy Renovations-Insulation: A Guide for ...

  9. Output-Based Error Estimation and Adaptation for Uncertainty...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Output-Based Error Estimation and Adaptation for Uncertainty Quantification Isaac M. Asher and Krzysztof J. Fidkowski University of Michigan US National Congress on Computational...

  10. Table 6b. Relative Standard Errors for Total Electricity Consumption...

    U.S. Energy Information Administration (EIA) Indexed Site

    b. Relative Standard Errors for Total Electricity Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Electricity (thousand) Total...

  11. A Posteriori Error Analysis and Adaptive Construction of Surrogate...

    Office of Scientific and Technical Information (OSTI)

    A Posteriori Error Analysis and Adaptive Construction of Surrogate Models. Citation ... Sponsoring Org: USDOE National Nuclear Security Administration (NNSA) Country of ...

  12. V-235: Cisco Mobility Services Engine Configuration Error Lets...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    V-235: Cisco Mobility Services Engine Configuration Error Lets Remote Users Login ... and Local Users Gain Elevated Privileges V-076: Cisco Wireless LAN Controller Bugs Let ...

  13. Detecting and correcting hard errors in a memory array

    DOE Patents [OSTI]

    Kalamatianos, John; John, Johnsy Kanjirapallil; Gelinas, Robert; Sridharan, Vilas K.; Nevius, Phillip E.

    2015-11-19

    Hard errors in the memory array can be detected and corrected in real-time using reusable entries in an error status buffer. Data may be rewritten to a portion of a memory array and a register in response to a first error in data read from the portion of the memory array. The rewritten data may then be written from the register to an entry of an error status buffer in response to the rewritten data read from the register differing from the rewritten data read from the portion of the memory array.

  14. Inherent Errors Associated with Raman Based Thermal Conductivity...

    Office of Scientific and Technical Information (OSTI)

    Title: Inherent Errors Associated with Raman Based Thermal Conductivity Measurements. Abstract not provided. Authors: Yates, Luke ; Beechem Iii, Thomas Edwin Publication Date: ...

  15. Guidance for growth factors, projections, and control strategies for the 15 percent rate-of-progress plans

    SciTech Connect (OSTI)

    Not Available

    1993-03-01

    Section 182(b)(1) of the Clean Air Act (Act) requires all ozone nonattainment areas classified as moderate and above to submit a State Implementation Plan (SIP) revision by November 15, 1993, which describes, in part, how the areas will achieve an actual volatile organic compound (VOC) emissions reduction of at least 15 percent during the first 6 years after enactment of the Clean Air Act Amendments of 1990 (CAAA). In addition, the SIP revision must describe how any growth in emissions from 1990 through 1996 will be fully offset. It is important to note that section 182(b)(1) also requires the SIP for moderate areas to provide for reductions in VOC and nitrogen oxides (NOx) emissions as necessary to attain the national primary ambient air quality standard for ozone by November 15, 1996. The guidance document focuses on the procedures for developing 1996 projected emissions inventories and control measures which moderate and above ozone nonattainment areas must include in their rate-of-progress plans. The document provides technical guidance to support the policy presented in the 'General Preamble: Implementation of Title I of the CAAA of 1990' (57 FR 13498).

  16. Thermal performance measurements of a 100 percent polyester MLI (multilayer insulation) system for the Superconducting Super Collider

    SciTech Connect (OSTI)

    Boroski, W.N.; Gonczy, J.D.; Niemann, R.C.

    1989-09-01

    Thermal performance measurements of a 100 percent polyester multilayer insulation (MLI) system for the Superconducting Super Collider (SSC) were conducted in a Heat Leak Test Facility (HLTF) under three experimental test arrangements. Each experiment measured the thermal performance of a 32-layer MLI blanket instrumented with twenty foil sensors to measure interstitial layer temperatures. Heat leak values and sensor temperatures were monitored during transient and steady state conditions under both design and degraded insulating vacuums. Heat leak values were measured using a heatmeter. MLI interstitial layer temperatures were measured using Cryogenic Linear Temperature Sensors (CLTS). Platinum resistors monitored system temperatures. High vacuum was measured using ion gauges; degraded vacuum employed thermocouple gauges. A four-wire system monitored instrumentation sensors and calibration heaters. An on-line computerized data acquisition system recorded and processes data. This paper reports on the instrumentation and experimental preparation used in carrying out these measurements. In complement with this paper is an associate paper bearing the same title head, but with the title extension Part 2: Laboratory results (300K--80K). 13 refs., 7 figs.

  17. Image plate characterization and absolute calibration to low kilo-electron-volt electrons

    SciTech Connect (OSTI)

    Busold, S.; Philipp, K.; Otten, A.; Roth, M.

    2014-11-15

    We report on the characterization of an image plate and its absolute calibration to electrons in the low keV energy range (130 keV). In our case, an Agfa MD4.0 without protection layer was used in combination with a Fuji FLA7000 scanner. The calibration data are compared to other published data and a consistent picture of the sensitivity of image plates to electrons is obtained, which suggests a validity of the obtained calibration up to 100 keV.

  18. Absolute timing measurements of the Ni-like Pd and Sn soft-x-ray lasers

    SciTech Connect (OSTI)

    Staub, F.; Braud, M.; Balmer, J.E.; Nilsen, J.

    2005-10-15

    The absolute time of emission of the x-ray laser output with respect to the arrival of a 100-ps pump pulse has been measured with the aid of a calibrated timing fiducial. The results show the x-ray laser to appear up to 60 ps (80 ps) before the peak of the pump pulse in the case of the Sn (Pd) x-ray laser, which is in good agreement with simulations obtained from the LASNEX and CRETIN codes. The pulse duration was found to be {approx}45 ps for both the Sn and the Pd x-ray lasers.

  19. The concepts of leak before break and absolute reliability of NPP equipment and piping

    SciTech Connect (OSTI)

    Getman, A.F.; Komarov, O.V.; Sokov, L.M.

    1997-04-01

    This paper describes the absolute reliability (AR) concept for ensuring safe operation of nuclear plant equipment and piping. The AR of a pipeline or component is defined as the level of reliability when the probability of an instantaneous double-ended break is near zero. AR analysis has been applied to Russian RBMK and VVER type reactors. It is proposed that analyses required for application of the leak before break concept should be included in AR implementation. The basic principles, methods, and approaches that provide the basis for implementing the AR concept are described.

  20. Using star tracks to determine the absolute pointing of the Fluorescence Detector telescopes of the Pierre Auger Observatory

    SciTech Connect (OSTI)

    De Donato, Cinzia; Sanchez, Federico; Santander, Marcos; Natl.Tech.U., San Rafael; Camin, Daniel; Garcia, Beatriz; Grassi, Valerio; /Milan U. /INFN, Milan

    2005-05-01

    To accurately reconstruct a shower axis from the Fluorescence Detector data it is essential to establish with high precision the absolute pointing of the telescopes. To d that they calculate the absolute pointing of a telescope using sky background data acquired during regular data taking periods. The method is based on the knowledge of bright star's coordinates that provide a reliable and stable coordinate system. it can be used to check the absolute telescope's pointing and its long-term stability during the whole life of the project, estimated in 20 years. They have analyzed background data taken from January to October 2004 to determine the absolute pointing of the 12 telescopes installed both in Los Leones and Coihueco. The method is based on the determination of the mean-time of the variance signal left by a star traversing a PMT's photocathode which is compared with the mean-time obtained by simulating the track of that star on the same pixel.

  1. Balancing aggregation and smoothing errors in inverse models

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Turner, A. J.; Jacob, D. J.

    2015-06-30

    Inverse models use observations of a system (observation vector) to quantify the variables driving that system (state vector) by statistical optimization. When the observation vector is large, such as with satellite data, selecting a suitable dimension for the state vector is a challenge. A state vector that is too large cannot be effectively constrained by the observations, leading to smoothing error. However, reducing the dimension of the state vector leads to aggregation error as prior relationships between state vector elements are imposed rather than optimized. Here we present a method for quantifying aggregation and smoothing errors as a function ofmore » state vector dimension, so that a suitable dimension can be selected by minimizing the combined error. Reducing the state vector within the aggregation error constraints can have the added advantage of enabling analytical solution to the inverse problem with full error characterization. We compare three methods for reducing the dimension of the state vector from its native resolution: (1) merging adjacent elements (grid coarsening), (2) clustering with principal component analysis (PCA), and (3) applying a Gaussian mixture model (GMM) with Gaussian pdfs as state vector elements on which the native-resolution state vector elements are projected using radial basis functions (RBFs). The GMM method leads to somewhat lower aggregation error than the other methods, but more importantly it retains resolution of major local features in the state vector while smoothing weak and broad features.« less

  2. Balancing aggregation and smoothing errors in inverse models

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Turner, A. J.; Jacob, D. J.

    2015-01-13

    Inverse models use observations of a system (observation vector) to quantify the variables driving that system (state vector) by statistical optimization. When the observation vector is large, such as with satellite data, selecting a suitable dimension for the state vector is a challenge. A state vector that is too large cannot be effectively constrained by the observations, leading to smoothing error. However, reducing the dimension of the state vector leads to aggregation error as prior relationships between state vector elements are imposed rather than optimized. Here we present a method for quantifying aggregation and smoothing errors as a function ofmore » state vector dimension, so that a suitable dimension can be selected by minimizing the combined error. Reducing the state vector within the aggregation error constraints can have the added advantage of enabling analytical solution to the inverse problem with full error characterization. We compare three methods for reducing the dimension of the state vector from its native resolution: (1) merging adjacent elements (grid coarsening), (2) clustering with principal component analysis (PCA), and (3) applying a Gaussian mixture model (GMM) with Gaussian pdfs as state vector elements on which the native-resolution state vector elements are projected using radial basis functions (RBFs). The GMM method leads to somewhat lower aggregation error than the other methods, but more importantly it retains resolution of major local features in the state vector while smoothing weak and broad features.« less

  3. Slope Error Measurement Tool for Solar Parabolic Trough Collectors: Preprint

    SciTech Connect (OSTI)

    Stynes, J. K.; Ihas, B.

    2012-04-01

    The National Renewable Energy Laboratory (NREL) has developed an optical measurement tool for parabolic solar collectors that measures the combined errors due to absorber misalignment and reflector slope error. The combined absorber alignment and reflector slope errors are measured using a digital camera to photograph the reflected image of the absorber in the collector. Previous work using the image of the reflection of the absorber finds the reflector slope errors from the reflection of the absorber and an independent measurement of the absorber location. The accuracy of the reflector slope error measurement is thus dependent on the accuracy of the absorber location measurement. By measuring the combined reflector-absorber errors, the uncertainty in the absorber location measurement is eliminated. The related performance merit, the intercept factor, depends on the combined effects of the absorber alignment and reflector slope errors. Measuring the combined effect provides a simpler measurement and a more accurate input to the intercept factor estimate. The minimal equipment and setup required for this measurement technique make it ideal for field measurements.

  4. Catastrophic photometric redshift errors: Weak-lensing survey requirements

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Bernstein, Gary; Huterer, Dragan

    2010-01-11

    We study the sensitivity of weak lensing surveys to the effects of catastrophic redshift errors - cases where the true redshift is misestimated by a significant amount. To compute the biases in cosmological parameters, we adopt an efficient linearized analysis where the redshift errors are directly related to shifts in the weak lensing convergence power spectra. We estimate the number Nspec of unbiased spectroscopic redshifts needed to determine the catastrophic error rate well enough that biases in cosmological parameters are below statistical errors of weak lensing tomography. While the straightforward estimate of Nspec is ~106 we find that using onlymore » the photometric redshifts with z ≤ 2.5 leads to a drastic reduction in Nspec to ~ 30,000 while negligibly increasing statistical errors in dark energy parameters. Therefore, the size of spectroscopic survey needed to control catastrophic errors is similar to that previously deemed necessary to constrain the core of the zs – zp distribution. We also study the efficacy of the recent proposal to measure redshift errors by cross-correlation between the photo-z and spectroscopic samples. We find that this method requires ~ 10% a priori knowledge of the bias and stochasticity of the outlier population, and is also easily confounded by lensing magnification bias. In conclusion, the cross-correlation method is therefore unlikely to supplant the need for a complete spectroscopic redshift survey of the source population.« less

  5. Satellite Inference of Thermals and Cloud Base Updraft Speeds

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    absolute percentage error for Wcb is 24 percent. This method contributes to the existing body of knowledge in at least two ways. First, it has not been possible until now to...

  6. Intel C++ compiler error: stl_iterator_base_types.h

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    C++ compiler error: stl_iterator_base_types.h Intel C++ compiler error: stl_iterator_base_types.h December 7, 2015 by Scott French Because the system-supplied version of GCC is relatively old (4.3.4) it is common practice to load the gcc module on our Cray systems when C++11 support is required under the Intel C++ compilers. While this works as expected under the GCC 4.8 and 4.9 series compilers, the 5.x series can cause Intel C++ compile-time errors similar to the following:

  7. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

  8. Link error from craype/2.5.0

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Link error from craype/2.5.0 Link error from craype/2.5.0 January 13, 2016 by Woo-Sun Yang If you build a code using a file called 'configure' with craype/2.5.0, Cray build-tools assumes that you want to use the 'native' link mode (e.g., gcc defaults to dynamic linking), by adding '-Wl,-rpath=/opt/intel/composer_xe_2015/compiler/lib/intel64 -lintlc'. This creates a link error: /usr/bin/ld: cannot find -lintlc A temporary work around is to swap the default craype (2.5.0) with an older or newer

  9. Constraining absolute neutrino masses via detection of galactic supernova neutrinos at JUNO

    SciTech Connect (OSTI)

    Lu, Jia-Shu; Cao, Jun; Li, Yu-Feng; Zhou, Shun

    2015-05-26

    A high-statistics measurement of the neutrinos from a galactic core-collapse supernova is extremely important for understanding the explosion mechanism, and studying the intrinsic properties of neutrinos themselves. In this paper, we explore the possibility to constrain the absolute scale of neutrino masses m{sub ν} via the detection of galactic supernova neutrinos at the Jiangmen Underground Neutrino Observatory (JUNO) with a 20 kiloton liquid-scintillator detector. In assumption of a nearly-degenerate neutrino mass spectrum and a normal mass ordering, the upper bound on the absolute neutrino mass is found to be m{sub ν}<(0.83±0.24) eV at the 95% confidence level for a typical galactic supernova at a distance of 10 kpc, where the mean value and standard deviation are shown to account for statistical fluctuations. For comparison, we find that the bound in the Super-Kamiokande experiment is m{sub ν}<(0.94±0.28) eV at the same confidence level. However, the upper bound will be relaxed when the model parameters characterizing the time structure of supernova neutrino fluxes are not exactly known, and when the neutrino mass ordering is inverted.

  10. Advisory on the reporting error in the combined propane stocks...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Advisory on the reporting error in the combined propane stocks for PADDs 4 and 5 Release Date: June 12, 2013 The U.S. Energy Information Administration issued the following...

  11. Locked modes and magnetic field errors in the Madison Symmetric...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Here A de- creases at the sawtooth crash, showing the flattening and inward shift of the ... triple its value. (b) The m 1 component of the magnetic field error of the poloidal gap. ...

  12. Wind Power Forecasting Error Distributions over Multiple Timescales: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-03-01

    In this paper, we examine the shape of the persistence model error distribution for ten different wind plants in the ERCOT system over multiple timescales. Comparisons are made between the experimental distribution shape and that of the normal distribution.

  13. Servo control booster system for minimizing following error

    DOE Patents [OSTI]

    Wise, William L.

    1985-01-01

    A closed-loop feedback-controlled servo system is disclosed which reduces command-to-response error to the system's position feedback resolution least increment, .DELTA.S.sub.R, on a continuous real-time basis for all operating speeds. The servo system employs a second position feedback control loop on a by exception basis, when the command-to-response error .gtoreq..DELTA.S.sub.R, to produce precise position correction signals. When the command-to-response error is less than .DELTA.S.sub.R, control automatically reverts to conventional control means as the second position feedback control loop is disconnected, becoming transparent to conventional servo control means. By operating the second unique position feedback control loop used herein at the appropriate clocking rate, command-to-response error may be reduced to the position feedback resolution least increment. The present system may be utilized in combination with a tachometer loop for increased stability.

  14. Visio-Error&OmissionNoClouds.vsd

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Error/Omission Process Process Owner: Department Managers, Corporate Projects and Facilities Projects February 7, 2008 KEY Responsibilities *A/E - Architectural/Engineering Firm *SCR - Sandia Contracting Representative *SDR - Sandia Delegated Representative *E&OB - Errors & Omissions Board * PM - Project Manager * REQ - Requester Facilities Projects Line Item Projects Review Design Findings and Begin Discovery PM Cost Impact? Yes Cost Impact <3% of ICAA? Yes Yes Take Out of Project

  15. Error and Uncertainty in Raman Thermal Conductivity Measurements

    Office of Scientific and Technical Information (OSTI)

    20695J 1 Error and Uncertainty in Raman Thermal Conductivity Measurements 2 Thomas Beechem,1, a) Luke Yates,1,2 and Samuel Graham2 3 !)Sandia National Laboratories, Albuquerque, NM, USA 87123 4 2' )G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 5 Atlanta, GA, 30332 Error and uncertainty in Raman thermal conductivity measurements are investigated via fi- nite element based numerical simulation of two geometries often employed-Joule-heating of a wire and

  16. Inherent Errors Associated with Raman Based Thermal Conductivity

    Office of Scientific and Technical Information (OSTI)

    Measurements. (Conference) | SciTech Connect Inherent Errors Associated with Raman Based Thermal Conductivity Measurements. Citation Details In-Document Search Title: Inherent Errors Associated with Raman Based Thermal Conductivity Measurements. Abstract not provided. Authors: Yates, Luke ; Beechem Iii, Thomas Edwin Publication Date: 2012-09-01 OSTI Identifier: 1116452 Report Number(s): SAND2012-7840C 480433 DOE Contract Number: AC04-94AL85000 Resource Type: Conference Resource Relation:

  17. WIPP Field Practices: Common Errors and Innovative Solutions | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy WIPP Field Practices: Common Errors and Innovative Solutions WIPP Field Practices: Common Errors and Innovative Solutions What to do when approaching an unfamiliar house for weatherization, with hidden air leakage and a multitude of mysteries? This webinar focuses on the Dos and Don'ts of WIPP weatherization, and is guaranteed to be an hour well spent looking over photographs that show detail and perspective on air sealing, blocking, venting, and other weatherization measures. This

  18. Using doppler radar images to estimate aircraft navigational heading error

    DOE Patents [OSTI]

    Doerry, Armin W.; Jordan, Jay D.; Kim, Theodore J.

    2012-07-03

    A yaw angle error of a motion measurement system carried on an aircraft for navigation is estimated from Doppler radar images captured using the aircraft. At least two radar pulses aimed at respectively different physical locations in a targeted area are transmitted from a radar antenna carried on the aircraft. At least two Doppler radar images that respectively correspond to the at least two transmitted radar pulses are produced. These images are used to produce an estimate of the yaw angle error.

  19. A Posteriori Error Analysis and Adaptive Construction of Surrogate Models.

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Posteriori Error Analysis and Adaptive Construction of Surrogate Models. Citation Details In-Document Search Title: A Posteriori Error Analysis and Adaptive Construction of Surrogate Models. Abstract not provided. Authors: Jakeman, John Davis ; Butler, Troy ; Constantine, Paul ; Dawson, Clint ; Bryant, Corey ; Prudhomme, Serge Publication Date: 2013-05-01 OSTI Identifier: 1080030 Report Number(s): SAND2013-4226C 455854 DOE Contract Number: AC04-94AL85000

  20. A posteriori error analysis of parameterized linear systems using spectral

    Office of Scientific and Technical Information (OSTI)

    methods. (Journal Article) | SciTech Connect Journal Article: A posteriori error analysis of parameterized linear systems using spectral methods. Citation Details In-Document Search Title: A posteriori error analysis of parameterized linear systems using spectral methods. Abstract not provided. Authors: Constantine, Paul ; Butler, Troy Publication Date: 2011-07-01 OSTI Identifier: 1106467 Report Number(s): SAND2011-4711J 463817 DOE Contract Number: AC04-94AL85000 Resource Type: Journal

  1. Confirmation of standard error analysis techniques applied to EXAFS using

    Office of Scientific and Technical Information (OSTI)

    simulations (Conference) | SciTech Connect Confirmation of standard error analysis techniques applied to EXAFS using simulations Citation Details In-Document Search Title: Confirmation of standard error analysis techniques applied to EXAFS using simulations Systematic uncertainties, such as those in calculated backscattering amplitudes, crystal glitches, etc., not only limit the ultimate accuracy of the EXAFS technique, but also affect the covariance matrix representation of real parameter

  2. Confirmation of standard error analysis techniques applied to EXAFS using

    Office of Scientific and Technical Information (OSTI)

    simulations (Conference) | SciTech Connect Confirmation of standard error analysis techniques applied to EXAFS using simulations Citation Details In-Document Search Title: Confirmation of standard error analysis techniques applied to EXAFS using simulations × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize

  3. A Possible Calorimetric Error in Heavy Water Electrolysis on Platinum

    SciTech Connect (OSTI)

    Shanahan, K.L.

    2001-03-16

    A systematic error in mass flow calorimetry calibration procedures potentially capable of explaining most positive excess power measurements is described. Data recently interpreted as providing evidence of the Pons-Fleischmann effect with a platinum cathode are reinterpreted with the opposite conclusion. This indicates it is premature to conclude platinum displays a Pons and Fleischmann effect, and places the requirement to evaluate the error's magnitude on all mass flow calorimetric experiments.

  4. Monte Carlo analysis of localization errors in magnetoencephalography

    SciTech Connect (OSTI)

    Medvick, P.A.; Lewis, P.S.; Aine, C.; Flynn, E.R.

    1989-01-01

    In magnetoencephalography (MEG), the magnetic fields created by electrical activity in the brain are measured on the surface of the skull. To determine the location of the activity, the measured field is fit to an assumed source generator model, such as a current dipole, by minimizing chi-square. For current dipoles and other nonlinear source models, the fit is performed by an iterative least squares procedure such as the Levenberg-Marquardt algorithm. Once the fit has been computed, analysis of the resulting value of chi-square can determine whether the assumed source model is adequate to account for the measurements. If the source model is adequate, then the effect of measurement error on the fitted model parameters must be analyzed. Although these kinds of simulation studies can provide a rough idea of the effect that measurement error can be expected to have on source localization, they cannot provide detailed enough information to determine the effects that the errors in a particular measurement situation will produce. In this work, we introduce and describe the use of Monte Carlo-based techniques to analyze model fitting errors for real data. Given the details of the measurement setup and a statistical description of the measurement errors, these techniques determine the effects the errors have on the fitted model parameters. The effects can then be summarized in various ways such as parameter variances/covariances or multidimensional confidence regions. 8 refs., 3 figs.

  5. Compiler-Assisted Detection of Transient Memory Errors

    SciTech Connect (OSTI)

    Tavarageri, Sanket; Krishnamoorthy, Sriram; Sadayappan, Ponnuswamy

    2014-06-09

    The probability of bit flips in hardware memory systems is projected to increase significantly as memory systems continue to scale in size and complexity. Effective hardware-based error detection and correction requires that the complete data path, involving all parts of the memory system, be protected with sufficient redundancy. First, this may be costly to employ on commodity computing platforms and second, even on high-end systems, protection against multi-bit errors may be lacking. Therefore, augmenting hardware error detection schemes with software techniques is of consider- able interest. In this paper, we consider software-level mechanisms to comprehensively detect transient memory faults. We develop novel compile-time algorithms to instrument application programs with checksum computation codes so as to detect memory errors. Unlike prior approaches that employ checksums on computational and architectural state, our scheme verifies every data access and works by tracking variables as they are produced and consumed. Experimental evaluation demonstrates that the proposed comprehensive error detection solution is viable as a completely software-only scheme. We also demonstrate that with limited hardware support, overheads of error detection can be further reduced.

  6. Error Rate Comparison during Polymerase Chain Reaction by DNA Polymerase

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    McInerney, Peter; Adams, Paul; Hadi, Masood Z.

    2014-01-01

    As larger-scale cloning projects become more prevalent, there is an increasing need for comparisons among high fidelity DNA polymerases used for PCR amplification. All polymerases marketed for PCR applications are tested for fidelity properties (i.e., error rate determination) by vendors, and numerous literature reports have addressed PCR enzyme fidelity. Nonetheless, it is often difficult to make direct comparisons among different enzymes due to numerous methodological and analytical differences from study to study. We have measured the error rates for 6 DNA polymerases commonly used in PCR applications, including 3 polymerases typically used for cloning applications requiring high fidelity. Errormore » rate measurement values reported here were obtained by direct sequencing of cloned PCR products. The strategy employed here allows interrogation of error rate across a very large DNA sequence space, since 94 unique DNA targets were used as templates for PCR cloning. The six enzymes included in the study, Taq polymerase, AccuPrime-Taq High Fidelity, KOD Hot Start, cloned Pfu polymerase, Phusion Hot Start, and Pwo polymerase, we find the lowest error rates with Pfu , Phusion, and Pwo polymerases. Error rates are comparable for these 3 enzymes and are >10x lower than the error rate observed with Taq polymerase. Mutation spectra are reported, with the 3 high fidelity enzymes displaying broadly similar types of mutations. For these enzymes, transition mutations predominate, with little bias observed for type of transition.« less

  7. The magnetic recoil spectrometer for measurements of the absolute neutron spectrum at OMEGA and the NIF

    SciTech Connect (OSTI)

    Casey, D. T.; Frenje, J. A.; Gatu Johnson, M.; Seguin, F. H.; Li, C. K.; Petrasso, R. D.; Glebov, V. Yu.; Katz, J.; Magoon, J.; Meyerhofer, D. D.; Sangster, T. C.; Shoup, M.; Ulreich, J.; Ashabranner, R. C.; Bionta, R. M.; Carpenter, A. C.; Felker, B.; Khater, H. Y.; LePape, S.; MacKinnon, A.; McKernan, M. A.; Moran, M.; Rygg, J. R.; Yeoman, M. F.; Zacharias, R.; Leeper, R. J.; Fletcher, K.; Farrell, M.; Jasion, D.; Kilkenny, J.; Paguio, R.

    2013-04-18

    The neutron spectrum produced by deuterium-tritium (DT) inertial confinement fusion implosions contains a wealth of information about implosion performance including the DT yield, iontemperature, and areal-density. The Magnetic Recoil Spectrometer (MRS) has been used at both the OMEGA laser facility and the National Ignition Facility (NIF) to measure the absolute neutron spectrum from 3 to 30 MeV at OMEGA and 3 to 36 MeV at the NIF. These measurements have been used to diagnose the performance of cryogenic target implosions to unprecedented accuracy. Interpretation of MRS data requires a detailed understanding of the MRS response and background. This paper describes ab initio characterization of the system involving Monte Carlo simulations of the MRS response in addition to the commission experiments for in situ calibration of the systems on OMEGA and the NIF.

  8. Absolute differential cross sections for elastic scattering of electrons from pyrimidine

    SciTech Connect (OSTI)

    Maljkovic, J. B.; Milosavljevic, A. R.; Sevic, D.; Marinkovic, B. P.; Blanco, F.

    2009-05-15

    Differential cross sections (DCSs) for elastic scattering of electrons from pyrimidine (C{sub 4}H{sub 4}N{sub 2}) are presented for incident energies from 50 to 300 eV. The measurements were performed using a cross beam technique, for scattering angles from 20 deg. to 110 deg. The relative DCSs were measured as a function of both the angle and incident energy and the absolute DCSs were determined using the relative flow method. The calculations of electron interaction cross sections are based on a corrected form of the independent-atom method, known as the screen corrected additivity rule procedure and using an improved quasifree absorption model. Calculated results agree very well with the experiment.

  9. The magnetic recoil spectrometer for measurements of the absolute neutron spectrum at OMEGA and the NIF

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Casey, D. T.; Frenje, J. A.; Gatu Johnson, M.; Seguin, F. H.; Li, C. K.; Petrasso, R. D.; Glebov, V. Yu.; Katz, J.; Magoon, J.; Meyerhofer, D. D.; et al

    2013-04-18

    The neutron spectrum produced by deuterium-tritium (DT) inertial confinement fusion implosions contains a wealth of information about implosion performance including the DT yield, iontemperature, and areal-density. The Magnetic Recoil Spectrometer (MRS) has been used at both the OMEGA laser facility and the National Ignition Facility (NIF) to measure the absolute neutron spectrum from 3 to 30 MeV at OMEGA and 3 to 36 MeV at the NIF. These measurements have been used to diagnose the performance of cryogenic target implosions to unprecedented accuracy. Interpretation of MRS data requires a detailed understanding of the MRS response and background. This paper describesmore » ab initio characterization of the system involving Monte Carlo simulations of the MRS response in addition to the commission experiments for in situ calibration of the systems on OMEGA and the NIF.« less

  10. RSE Table E6.1 and E6.2. Relative Standard Errors for Tables E6.1 and E6.2

    U.S. Energy Information Administration (EIA) Indexed Site

    E6.1 and E6.2. Relative Standard Errors for Tables E6.1 and E6.2;" " Unit: Percents." " "," ",," ","Distillate"," "," ",," " " ",,,,"Fuel Oil",,,"Coal" " "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "End Use","Total","Electricity(a)","Fuel

  11. RSE Table E8.1 and E8.2. Relative Standard Errors for Tables E8.1 and E8.2

    U.S. Energy Information Administration (EIA) Indexed Site

    E8.1 and E8.2. Relative Standard Errors for Tables E8.1 and E8.2;" " Unit: Percents." " ",," "," ",," "," " "Economic",,"Residual","Distillate",,"LPG and" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal" ,"Total United States" "Value of Shipments and Receipts"

  12. RSE Table N1.1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2

    U.S. Energy Information Administration (EIA) Indexed Site

    1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," "," " " "," "," ",," "," ",," "," ",," ","Shipments" "NAICS"," ",,"Net","Residual","Distillate",,"LPG

  13. RSE Table N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2

    U.S. Energy Information Administration (EIA) Indexed Site

    N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2;" " Unit: Percents." " "," " "NAICS"," "," ","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)"

  14. RSE Table N6.1 and N6.2. Relative Standard Errors for Tables N6.1 and N6.2

    U.S. Energy Information Administration (EIA) Indexed Site

    1 and N6.2. Relative Standard Errors for Tables N6.1 and N6.2;" " Unit: Percents." " "," "," ",," ","Distillate"," "," ",," " " "," ",,,,"Fuel Oil",,,"Coal" "NAICS"," "," ","Net","Residual","and",,"LPG and","(excluding Coal"," " "Code(a)","End

  15. RSE Table N6.3 and N6.4. Relative Standard Errors for Tables N6.3 and N6.4

    U.S. Energy Information Administration (EIA) Indexed Site

    3 and N6.4. Relative Standard Errors for Tables N6.3 and N6.4;" " Unit: Percents." " "," ",," ","Distillate"," "," " " "," ",,,"Fuel Oil",,,"Coal" "NAICS"," ","Net Demand","Residual","and",,"LPG and","(excluding Coal" "Code(a)","End Use","for Electricity(b)","Fuel

  16. RSE Table S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2

    U.S. Energy Information Administration (EIA) Indexed Site

    S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," "," " " "," "," ",," "," ",," "," ",," ","Shipments" "SIC"," ",,"Net","Residual","Distillate",,"LPG

  17. RSE Table S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2

    U.S. Energy Information Administration (EIA) Indexed Site

    S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2;" " Unit: Percents." " "," "," ",," "," "," "," "," "," ",," " "SIC"," "," ","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Major Group and Industry","Total","Fuel Oil","Fuel

  18. Economic penalties of problems and errors in solar energy systems

    SciTech Connect (OSTI)

    Raman, K.; Sparkes, H.R.

    1983-01-01

    Experience with a large number of installed solar energy systems in the HUD Solar Program has shown that a variety of problems and design/installation errors have occurred in many solar systems, sometimes resulting in substantial additional costs for repair and/or replacement. In this paper, the effect of problems and errors on the economics of solar energy systems is examined. A method is outlined for doing this in terms of selected economic indicators. The method is illustrated by a simple example of a residential solar DHW system. An example of an installed, instrumented solar energy system in the HUD Solar Program is then discussed. Detailed results are given for the effects of the problems and errors on the cash flow, cost of delivered heat, discounted payback period, and life-cycle cost of the solar energy system. Conclusions are drawn regarding the most suitable economic indicators for showing the effects of problems and errors in solar energy systems. A method is outlined for deciding on the maximum justifiable expenditure for maintenance on a solar energy system with problems or errors.

  19. Reducing collective quantum state rotation errors with reversible dephasing

    SciTech Connect (OSTI)

    Cox, Kevin C.; Norcia, Matthew A.; Weiner, Joshua M.; Bohnet, Justin G.; Thompson, James K.

    2014-12-29

    We demonstrate that reversible dephasing via inhomogeneous broadening can greatly reduce collective quantum state rotation errors, and observe the suppression of rotation errors by more than 21?dB in the context of collective population measurements of the spin states of an ensemble of 2.110{sup 5} laser cooled and trapped {sup 87}Rb atoms. The large reduction in rotation noise enables direct resolution of spin state populations 13(1) dB below the fundamental quantum projection noise limit. Further, the spin state measurement projects the system into an entangled state with 9.5(5) dB of directly observed spectroscopic enhancement (squeezing) relative to the standard quantum limit, whereas no enhancement would have been obtained without the suppression of rotation errors.

  20. MPI errors from cray-mpich/7.3.0

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    MPI errors from cray-mpich/7.3.0 MPI errors from cray-mpich/7.3.0 January 6, 2016 by Ankit Bhagatwala A change in the MPICH2 library that now strictly enforces non-overlapping buffers in MPI collectives may cause some MPI applications that use overlapping buffers to fail at runtime. As an example, one of the routines affected is MPI_ALLGATHER. There are several possible fixes. The cleanest one is to specify MPI_IN_PLACE instead of the address of the send buffer for cases where sendbuf and

  1. When soft controls get slippery: User interfaces and human error

    SciTech Connect (OSTI)

    Stubler, W.F.; O`Hara, J.M.

    1998-12-01

    Many types of products and systems that have traditionally featured physical control devices are now being designed with soft controls--input formats appearing on computer-based display devices and operated by a variety of input devices. A review of complex human-machine systems found that soft controls are particularly prone to some types of errors and may affect overall system performance and safety. This paper discusses the application of design approaches for reducing the likelihood of these errors and for enhancing usability, user satisfaction, and system performance and safety.

  2. Laser Phase Errors in Seeded Free Electron Lasers

    SciTech Connect (OSTI)

    Ratner, D.; Fry, A.; Stupakov, G.; White, W.; /SLAC

    2012-04-17

    Harmonic seeding of free electron lasers has attracted significant attention as a method for producing transform-limited pulses in the soft x-ray region. Harmonic multiplication schemes extend seeding to shorter wavelengths, but also amplify the spectral phase errors of the initial seed laser, and may degrade the pulse quality and impede production of transform-limited pulses. In this paper we consider the effect of seed laser phase errors in high gain harmonic generation and echo-enabled harmonic generation. We use simulations to confirm analytical results for the case of linearly chirped seed lasers, and extend the results for arbitrary seed laser envelope and phase.

  3. JLab SRF Cavity Fabrication Errors, Consequences and Lessons Learned

    SciTech Connect (OSTI)

    Frank Marhauser

    2011-09-01

    Today, elliptical superconducting RF (SRF) cavities are preferably made from deep-drawn niobium sheets as pursued at Jefferson Laboratory (JLab). The fabrication of a cavity incorporates various cavity cell machining, trimming and electron beam welding (EBW) steps as well as surface chemistry that add to forming errors creating geometrical deviations of the cavity shape from its design. An analysis of in-house built cavities over the last years revealed significant errors in cavity production. Past fabrication flaws are described and lessons learned applied successfully to the most recent in-house series production of multi-cell cavities.

  4. V-172: ISC BIND RUNTIME_CHECK Error Lets Remote Users Deny Service...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ISC BIND RUNTIMECHECK Error Lets Remote Users Deny Service Against Recursive Resolvers V-172: ISC BIND RUNTIMECHECK Error Lets Remote Users Deny Service Against Recursive...

  5. Absolute calibration method for laser megajoule neutron yield measurement by activation diagnostics

    SciTech Connect (OSTI)

    Landoas, Olivier; Rosse, Bertrand; Briat, Michelle; Marmouget, Jean Gabriel; Varignon, Cyril; Ledoux, Xavier; Caillaud, Tony; Thfoin, Isabelle; Bourgade, Jean-Luc; Glebov, Vladimir Yu; Sangster, Thomas C.; Duffy, Tim; Disdier, Laurent

    2011-07-15

    The laser megajoule (LMJ) and the National Ignition Facility (NIF) plan to demonstrate thermonuclear ignition using inertial confinement fusion (ICF). The neutron yield is one of the most important parameters to characterize ICF experiment performance. For decades, the activation diagnostic was chosen as a reference at ICF facilities and is now planned to be the first nuclear diagnostic on LMJ, measuring both 2.45 MeV and 14.1 MeV neutron yields. Challenges for the activation diagnostic development are absolute calibration, accuracy, range requirement, and harsh environment. At this time, copper and zirconium material are identified for 14.1 MeV neutron yield measurement and indium material for 2.45 MeV neutrons. A series of calibrations were performed at Commissariat a l'Energie Atomique (CEA) on a Van de Graff facility to determine activation diagnostics efficiencies and to compare them with results from calculations. The CEA copper activation diagnostic was tested on the OMEGA facility during DT implosion. Experiments showed that CEA and Laboratory for Laser Energetics (LLE) diagnostics agree to better than 1% on the neutron yield measurement, with an independent calibration for each system. Also, experimental sensitivities are in good agreement with simulations and allow us to scale activation diagnostics for the LMJ measurement range.

  6. In-Flight Measurement of the Absolute Energy Scale of the Fermi Large Area Telescope

    SciTech Connect (OSTI)

    Ackermann, M.; Ajello, M.; Allafort, A.; Atwood, W.B.; Axelsson, M.; Baldini, L.; Barbiellini, G.; Bastieri, D.; Bechtol, K.; Bellazzini, R.; Berenji, B.; Bloom, E.D.; Bonamente, E.; Borgland, A.W.; Bouvier, A.; Bregeon, J.; Brez, A.; Brigida, M.; Bruel, P.; Buehler, R.; Buson, S.; /more authors..

    2012-09-20

    The Large Area Telescope (LAT) on-board the Fermi Gamma-ray Space Telescope is a pair-conversion telescope designed to survey the gamma-ray sky from 20 MeV to several hundreds of GeV. In this energy band there are no astronomical sources with sufficiently well known and sharp spectral features to allow an absolute calibration of the LAT energy scale. However, the geomagnetic cutoff in the cosmic ray electron-plus-positron (CRE) spectrum in low Earth orbit does provide such a spectral feature. The energy and spectral shape of this cutoff can be calculated with the aid of a numerical code tracing charged particles in the Earth's magnetic field. By comparing the cutoff value with that measured by the LAT in different geomagnetic positions, we have obtained several calibration points between {approx}6 and {approx}13 GeV with an estimated uncertainty of {approx}2%. An energy calibration with such high accuracy reduces the systematic uncertainty in LAT measurements of, for example, the spectral cutoff in the emission from gamma ray pulsars.

  7. Comparison of absolute spectral irradiance responsivity measurement techniques using wavelength-tunable lasers

    SciTech Connect (OSTI)

    Ahtee, Ville; Brown, Steven W.; Larason, Thomas C.; Lykke, Keith R.; Ikonen, Erkki; Noorma, Mart

    2007-07-10

    Independent methods for measuring the absolute spectral irradiance responsivity of detectors have been compared between the calibration facilities at two national metrology institutes, the Helsinki University of Technology (TKK), Finland, and the National Institute of Standards and Technology (NIST). The emphasis is on the comparison of two different techniques for generating a uniform irradiance at a reference plane using wavelength-tunable lasers. At TKK's Laser Scanning Facility (LSF) the irradiance is generated by raster scanning a single collimated laser beam, while at the NIST facility for Spectral Irradiance and Radiance Responsivity Calibrations with Uniform Sources (SIRCUS), lasers are introduced into integrating spheres to generate a uniform irradiance at a reference plane. The laser-based irradiance responsivity results are compared to a traditional lamp-monochromator-based irradiance responsivity calibration obtained at the NIST Spectral Comparator Facility (SCF). A narrowband filter radiometer with a24 nm bandwidth and an effective band-center wavelength of 801 nm was used as the artifact. The results of the comparison between the different facilities, reported for the first time in the near-infrared wavelength range, demonstrate agreement at the uncertainty level of less than 0.1%. This result has significant implications in radiation thermometry and in photometry as well as in radiometry.

  8. Error and uncertainty in Raman thermal conductivity measurements

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Thomas Edwin Beechem; Yates, Luke; Graham, Samuel

    2015-04-22

    We investigated error and uncertainty in Raman thermal conductivity measurements via finite element based numerical simulation of two geometries often employed -- Joule-heating of a wire and laser-heating of a suspended wafer. Using this methodology, the accuracy and precision of the Raman-derived thermal conductivity are shown to depend on (1) assumptions within the analytical model used in the deduction of thermal conductivity, (2) uncertainty in the quantification of heat flux and temperature, and (3) the evolution of thermomechanical stress during testing. Apart from the influence of stress, errors of 5% coupled with uncertainties of ±15% are achievable for most materialsmore » under conditions typical of Raman thermometry experiments. Error can increase to >20%, however, for materials having highly temperature dependent thermal conductivities or, in some materials, when thermomechanical stress develops concurrent with the heating. A dimensionless parameter -- termed the Raman stress factor -- is derived to identify when stress effects will induce large levels of error. Together, the results compare the utility of Raman based conductivity measurements relative to more established techniques while at the same time identifying situations where its use is most efficacious.« less

  9. Error and uncertainty in Raman thermal conductivity measurements

    SciTech Connect (OSTI)

    Thomas Edwin Beechem; Yates, Luke; Graham, Samuel

    2015-04-22

    We investigated error and uncertainty in Raman thermal conductivity measurements via finite element based numerical simulation of two geometries often employed -- Joule-heating of a wire and laser-heating of a suspended wafer. Using this methodology, the accuracy and precision of the Raman-derived thermal conductivity are shown to depend on (1) assumptions within the analytical model used in the deduction of thermal conductivity, (2) uncertainty in the quantification of heat flux and temperature, and (3) the evolution of thermomechanical stress during testing. Apart from the influence of stress, errors of 5% coupled with uncertainties of ±15% are achievable for most materials under conditions typical of Raman thermometry experiments. Error can increase to >20%, however, for materials having highly temperature dependent thermal conductivities or, in some materials, when thermomechanical stress develops concurrent with the heating. A dimensionless parameter -- termed the Raman stress factor -- is derived to identify when stress effects will induce large levels of error. Together, the results compare the utility of Raman based conductivity measurements relative to more established techniques while at the same time identifying situations where its use is most efficacious.

  10. Shape error analysis for reflective nano focusing optics

    SciTech Connect (OSTI)

    Modi, Mohammed H.; Idir, Mourad

    2010-06-23

    Focusing performance of reflective x-ray optics is determined by surface figure accuracy. Any surface imperfection present on such optics introduces a phase error in the outgoing wave fields. Therefore converging beam at the focal spot will differ from the desired performance. Effect of these errors on focusing performance can be calculated by wave optical approach considering a coherent wave field illumination of optical elements. We have developed a wave optics simulator using Fresnel-Kirchhoff diffraction integral to calculate the mirror pupil function. Both analytically calculated and measured surface topography data can be taken as an aberration source to outgoing wave fields. Simulations are performed to study the effect of surface height fluctuations on focusing performances over wide frequency range in high, mid and low frequency band. The results using real shape profile measured with long trace profilometer (LTP) suggest that the shape error of {lambda}/4 PV (peak to valley) is tolerable to achieve diffraction limited performance. It is desirable to remove shape error of very low frequency as 0.1 mm{sup -1} which otherwise will generate beam waist or satellite peaks. All other frequencies above this limit will not affect the focused beam profile but only caused a loss in intensity.

  11. The contour method cutting assumption: error minimization and correction

    SciTech Connect (OSTI)

    Prime, Michael B; Kastengren, Alan L

    2010-01-01

    The recently developed contour method can measure 2-D, cross-sectional residual-stress map. A part is cut in two using a precise and low-stress cutting technique such as electric discharge machining. The contours of the new surfaces created by the cut, which will not be flat if residual stresses are relaxed by the cutting, are then measured and used to calculate the original residual stresses. The precise nature of the assumption about the cut is presented theoretically and is evaluated experimentally. Simply assuming a flat cut is overly restrictive and misleading. The critical assumption is that the width of the cut, when measured in the original, undeformed configuration of the body is constant. Stresses at the cut tip during cutting cause the material to deform, which causes errors. The effect of such cutting errors on the measured stresses is presented. The important parameters are quantified. Experimental procedures for minimizing these errors are presented. An iterative finite element procedure to correct for the errors is also presented. The correction procedure is demonstrated on experimental data from a steel beam that was plastically bent to put in a known profile of residual stresses.

  12. Error Detection and Correction LDMS Plugin Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2015-11-02

    Sandia's Lightweight Distributed Metric Service (LDMS) is a data collection and transport system used at Livermore Computing to gather performance data across the center. While Sandia has a set of plugins available, they do not include all the data we need to capture. The ECAC plugin that we have developed enables collection of the Error Detection and Correction (EDAC) counters.

  13. Contributions to Human Errors and Breaches in National Security Applications.

    SciTech Connect (OSTI)

    Pond, D. J.; Houghton, F. K.; Gilmore, W. E.

    2002-01-01

    Los Alamos National Laboratory has recognized that security infractions are often the consequence of various types of human errors (e.g., mistakes, lapses, slips) and/or breaches (i.e., deliberate deviations from policies or required procedures with no intention to bring about an adverse security consequence) and therefore has established an error reduction program based in part on the techniques used to mitigate hazard and accident potentials. One cornerstone of this program, definition of the situational and personal factors that increase the likelihood of employee errors and breaches, is detailed here. This information can be used retrospectively (as in accident investigations) to support and guide inquiries into security incidents or prospectively (as in hazard assessments) to guide efforts to reduce the likelihood of error/incident occurrence. Both approaches provide the foundation for targeted interventions to reduce the influence of these factors and for the formation of subsequent 'lessons learned.' Overall security is enhanced not only by reducing the inadvertent releases of classified information but also by reducing the security and safeguards resources devoted to them, thereby allowing these resources to be concentrated on acts of malevolence.

  14. Servo control booster system for minimizing following error

    DOE Patents [OSTI]

    Wise, W.L.

    1979-07-26

    A closed-loop feedback-controlled servo system is disclosed which reduces command-to-response error to the system's position feedback resolution least increment, ..delta..S/sub R/, on a continuous real-time basis, for all operational times of consequence and for all operating speeds. The servo system employs a second position feedback control loop on a by exception basis, when the command-to-response error greater than or equal to ..delta..S/sub R/, to produce precise position correction signals. When the command-to-response error is less than ..delta..S/sub R/, control automatically reverts to conventional control means as the second position feedback control loop is disconnected, becoming transparent to conventional servo control means. By operating the second unique position feedback control loop used herein at the appropriate clocking rate, command-to-response error may be reduced to the position feedback resolution least increment. The present system may be utilized in combination with a tachometer loop for increased stability.

  15. Error field and magnetic diagnostic modeling for W7-X

    SciTech Connect (OSTI)

    Lazerson, Sam A.; Gates, David A.; NEILSON, GEORGE H.; OTTE, M.; Bozhenkov, S.; Pedersen, T. S.; GEIGER, J.; LORE, J.

    2014-07-01

    The prediction, detection, and compensation of error fields for the W7-X device will play a key role in achieving a high beta (Β = 5%), steady state (30 minute pulse) operating regime utilizing the island divertor system [1]. Additionally, detection and control of the equilibrium magnetic structure in the scrape-off layer will be necessary in the long-pulse campaign as bootstrapcurrent evolution may result in poor edge magnetic structure [2]. An SVD analysis of the magnetic diagnostics set indicates an ability to measure the toroidal current and stored energy, while profile variations go undetected in the magnetic diagnostics. An additional set of magnetic diagnostics is proposed which improves the ability to constrain the equilibrium current and pressure profiles. However, even with the ability to accurately measure equilibrium parameters, the presence of error fields can modify both the plasma response and diverter magnetic field structures in unfavorable ways. Vacuum flux surface mapping experiments allow for direct measurement of these modifications to magnetic structure. The ability to conduct such an experiment is a unique feature of stellarators. The trim coils may then be used to forward model the effect of an applied n = 1 error field. This allows the determination of lower limits for the detection of error field amplitude and phase using flux surface mapping. *Research supported by the U.S. DOE under Contract No. DE-AC02-09CH11466 with Princeton University.

  16. Setting Whole-Building Absolute Energy Use Targets for the K-12 School, Retail, and Healthcare Sectors: Preprint

    SciTech Connect (OSTI)

    Leach, M.; Bonnema, E.; Pless, S.; Torcellini, P.

    2012-08-01

    This paper helps owners' efficiency representatives to inform executive management, contract development, and project management staff as to how specifying and applying whole-building absolute energy use targets for new construction or renovation projects can improve the operational energy performance of commercial buildings.

  17. Hubble space telescope absolute proper motions of NGC 6681 (M70) and the sagittarius dwarf spheroidal galaxy

    SciTech Connect (OSTI)

    Massari, D.; Ferraro, F. R.; Dalessandro, E.; Lanzoni, B.

    2013-12-10

    We have measured absolute proper motions for the three populations intercepted in the direction of the Galactic globular cluster NGC 6681: the cluster itself, the Sagittarius dwarf spheroidal galaxy, and the field. For this, we used Hubble Space Telescope ACS/WFC and WFC3/UVIS optical imaging data separated by a temporal baseline of 5.464 yr. Five background galaxies were used to determine the zero point of the absolute-motion reference frame. The resulting absolute proper motion of NGC 6681 is (?{sub ?}cos ?, ?{sub ?}) = (1.58 0.18, 4.57 0.16) mas yr{sup 1}. This is the first estimate ever made for this cluster. For the Sgr dSph we obtain (?{sub ?}cos ?, ?{sub ?}) = 2.54 0.18, 1.19 0.16) mas yr{sup 1}, consistent with previous measurements and with the values predicted by theoretical models. The absolute proper motion of the Galaxy population in our field of view is (?{sub ?}cos ?, ?{sub ?}) = ( 1.21 0.27, 4.39 0.26) mas yr{sup 1}. In this study we also use background Sagittarius Dwarf Spheroidal stars to determine the rotation of the globular cluster in the plane of the sky and find that NGC 6681 is not rotating significantly: v {sub rot} = 0.82 1.02 km s{sup 1} at a distance of 1' from the cluster center.

  18. ELLIPSOIDAL VARIABLE V1197 ORIONIS: ABSOLUTE LIGHT-VELOCITY ANALYSIS FOR KNOWN DISTANCE

    SciTech Connect (OSTI)

    Wilson, R. E.; Chochol, D.; KomzIk, R.; Van Hamme, W.; Pribulla, T.; Volkov, I.

    2009-09-01

    V1197 Orionis light curves from a long-term observing program for red giant binaries show ellipsoidal variation of small amplitude in the V and R{sub C} bands, although not clearly in U and B. Eclipses are not detected. All four bands show large irregular intrinsic variations, including fleeting quasi-periodicities identified by power spectra, that degrade analysis and may be caused by dynamical tides generated by orbital eccentricity. To deal with the absence of eclipses and consequent lack of astrophysical and geometrical information, direct use is made of the Hipparcos parallax distance while the V and R{sub C} light curves and (older) radial velocity curves are analyzed simultaneously in terms of absolute flux. The red giant's temperature is estimated from new spectra. This type of analysis, called Inverse Distance Estimation for brevity, is new and can also be applied to other ellipsoidal variables. Advantages gained by utilization of definite distance and temperature are discussed in regard to how radius, fractional lobe filling, and mass ratio information are expressed in the observations. The advantages were tested in solutions of noisy synthetic data. Also discussed and tested by simulations are ideas on the optimal number of light curves to be solved simultaneously under various conditions. The dim companion has not been observed or discussed in the literature but most solutions find its mass to be well below that of the red giant. Solutions show red giant masses that are too low for evolution to the red giant stage within the age of the Galaxy, although that result is probably an artifact of the intrinsic brightness fluctuations.

  19. Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report

    Reports and Publications (EIA)

    2016-01-01

    This document lists types of potential errors in EIA estimates published in the WNGSR. Survey errors are an unavoidable aspect of data collection. Error is inherent in all collected data, regardless of the source of the data and the care and competence of data collectors. The type and extent of error depends on the type and characteristics of the survey.

  20. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.