National Library of Energy BETA

Sample records for 11-month average states

  1. DOE/EIA-0035(89/11) Monthly Energy Review

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

    the United States. Also included are data on international production of crude oil, consumption of petroleum products, petroleum stocks, and production of electricity from...

  2. Comparison of average and point capillary pressure-saturation functions determined by steady-state centrifugation

    SciTech Connect (OSTI)

    Cropper, Clark; Perfect, Edmund; van den Berg, Dr. Elmer; Mayes, Melanie

    2010-01-01

    The capillary pressure-saturation function can be determined from centrifuge drainage experiments. In soil physics, the data resulting from such experiments are usually analyzed by the 'averaging method.' In this approach, average relative saturation, , is expressed as a function of average capillary pressure, <{psi}>, i.e., (<{psi}>). In contrast, the capillary pressure-saturation function at a physical point, i.e., S({psi}), has been extracted from similar experiments in petrophysics using the 'integral method.' The purpose of this study was to introduce the integral method applied to centrifuge experiments to a soil physics audience and to compare S({psi}) and (<{psi}>) functions, as parameterized by the Brooks-Corey and van Genuchten equations, for 18 samples drawn from a range of porous media (i.e., Berea sandstone, glass beads, and Hanford sediments). Steady-state centrifuge experiments were performed on preconsolidated samples with a URC-628 Ultra-Rock Core centrifuge. The angular velocity and outflow data sets were then analyzed using both the averaging and integral methods. The results show that the averaging method smoothes out the drainage process, yielding less steep capillary pressure-saturation functions relative to the corresponding point-based curves. Maximum deviations in saturation between the two methods ranged from 0.08 to 0.28 and generally occurred at low suctions. These discrepancies can lead to inaccurate predictions of other hydraulic properties such as the relative permeability function. Therefore, we strongly recommend use of the integral method instead of the averaging method when determining the capillary pressure-saturation function by steady-state centrifugation. This method can be successfully implemented using either the van Genuchten or Brooks-Corey functions, although the latter provides a more physically precise description of air entry at a physical point.

  3. Average Price (Cents/kilowatthour) by State by Provider, 1990-2014

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

    Average Price (Cents/kilowatthour) by State by Provider, 1990-2014" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2014,"AK","Total Electric Industry",19.14,17.09,15.66,0,"NA",17.46 2014,"AL","Total Electric Industry",11.48,10.79,6.15,0,"NA",9.27

  4. Table 16. Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method,

    Gasoline and Diesel Fuel Update (EIA)

    Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2013 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2013 Table 16. Recoverable Coal Reserves and Average Recovery Percentage at Producing Underground Coal Mines by State and Mining Method, 2013 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2013 Continuous 1 Conventional and Other 2 Longwall 3 Total

  5. Computing the partition function, ensemble averages, and density of states for lattice spin systems by sampling the mean

    SciTech Connect (OSTI)

    Gillespie, Dirk

    2013-10-01

    An algorithm to approximately calculate the partition function (and subsequently ensemble averages) and density of states of lattice spin systems through non-Monte-Carlo random sampling is developed. This algorithm (called the sampling-the-mean algorithm) can be applied to models where the up or down spins at lattice nodes interact to change the spin states of other lattice nodes, especially non-Ising-like models with long-range interactions such as the biological model considered here. Because it is based on the Central Limit Theorem of probability, the sampling-the-mean algorithm also gives estimates of the error in the partition function, ensemble averages, and density of states. Easily implemented parallelization strategies and error minimizing sampling strategies are discussed. The sampling-the-mean method works especially well for relatively small systems, systems with a density of energy states that contains sharp spikes or oscillations, or systems with little a priori knowledge of the density of states.

  6. United States Wind Resource Map: Annual Average Wind Speed at 30 Meters

    Wind Powering America (EERE)

    30 m 21-FEB-2012 2.1.1 Wind Speed m/s >10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC. Web: http://www.awstruepower.com. Map developed by NREL. Spatial resolution of wind resource data: 2.0 km. Projection: Albers Equal Area WGS84. The average wind speeds indicated on this map are model-derived estimates that may not represent the true wind resource at any given location. Small terrain features, vegetation,

  7. Determination of the Average Aromatic Cluster Size of Fossil Fuels by Solid-State NMR at High Magnetic Field

    SciTech Connect (OSTI)

    Mao, Kanmi; Kennedy, Gordon J.; Althaus, Stacey M.; Pruski, Marek

    2013-01-07

    We show that the average aromatic cluster size in complex carbonaceous materials can be accurately determined using fast magic-angle spinning (MAS) NMR at a high magnetic field. To accurately quantify the nonprotonated aromatic carbon, we edited the 13C spectra using the recently reported MAS-synchronized spin–echo, which alleviated the problem of rotational recoupling of 1H-13C dipolar interactions associated with traditional dipolar dephasing experiments. The dependability of this approach was demonstrated on selected Argonne Premium coal standards, for which full sets of basic structural parameters were determined with high accuracy.

  8. Neutron resonance averaging

    SciTech Connect (OSTI)

    Chrien, R.E.

    1986-10-01

    The principles of resonance averaging as applied to neutron capture reactions are described. Several illustrations of resonance averaging to problems of nuclear structure and the distribution of radiative strength in nuclei are provided. 30 refs., 12 figs.

  9. 2014 Average Monthly Bill- Industrial

    Gasoline and Diesel Fuel Update (EIA)

    Industrial (Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U) State Number of Customers Average Monthly Consumption (kWh) Average Price (cents/kWh) Average Monthly Bill (Dollar and cents) New England 28,017 56,833 11.84 6,730.30 Connecticut 4,648 63,016 12.92 8,138.94 Maine 3,023 92,554 8.95 8,281.27 Massachusetts 14,896 44,536 12.74 5,674.13 New Hampshire 3,342 49,099 11.93 5,857.27 Rhode Island 1,884 39,241 12.86 5,047.36 Vermont 224 527,528 10.23 53,984.67 Middle Atlantic 44,397

  10. Concentration Averaging | Department of Energy

    Office of Environmental Management (EM)

    Concentration Averaging Concentration Averaging Summary Notes from 3 October 2007 Generic Technical Issue Discussion on Concentration Averaging PDF icon Summary Notes from 3...

  11. "2014 Average Monthly Bill- Commercial"

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

    Consumption (kWh)","Average Price (centskWh)","Average Monthly Bill (Dollar and cents)" "New England",862269,5132.4894,14.699138,754.43169 "Connecticut",155372,6915.4089,15.547557...

  12. Spacetime averaged null energy condition

    SciTech Connect (OSTI)

    Urban, Douglas; Olum, Ken D.

    2010-06-15

    The averaged null energy condition has known violations for quantum fields in curved space, even when one considers only achronal geodesics. Many such examples involve rapid variation in the stress-energy tensor in the vicinity of the geodesic under consideration, giving rise to the possibility that averaging in additional dimensions would yield a principle universally obeyed by quantum fields. However, after discussing various procedures for additional averaging, including integrating over all dimensions of the manifold, we give here a class of examples that violate any such averaged condition.

  13. Average and effective Q-values for fission product average (n,2n) and

    Office of Scientific and Technical Information (OSTI)

    (n,3n) reaction cross sections (Technical Report) | SciTech Connect Technical Report: Average and effective Q-values for fission product average (n,2n) and (n,3n) reaction cross sections Citation Details In-Document Search Title: Average and effective Q-values for fission product average (n,2n) and (n,3n) reaction cross sections Authors: Kawano, Toshihiko [1] + Show Author Affiliations Los Alamos National Laboratory (LANL), Los Alamos, NM (United States) Publication Date: 2015-10-01 OSTI

  14. Spacetime Average Density (SAD) cosmological measures

    SciTech Connect (OSTI)

    Page, Don N.

    2014-11-01

    The measure problem of cosmology is how to obtain normalized probabilities of observations from the quantum state of the universe. This is particularly a problem when eternal inflation leads to a universe of unbounded size so that there are apparently infinitely many realizations or occurrences of observations of each of many different kinds or types, making the ratios ambiguous. There is also the danger of domination by Boltzmann Brains. Here two new Spacetime Average Density (SAD) measures are proposed, Maximal Average Density (MAD) and Biased Average Density (BAD), for getting a finite number of observation occurrences by using properties of the Spacetime Average Density (SAD) of observation occurrences to restrict to finite regions of spacetimes that have a preferred beginning or bounce hypersurface. These measures avoid Boltzmann brain domination and appear to give results consistent with other observations that are problematic for other widely used measures, such as the observation of a positive cosmological constant.

  15. 2014 Average Monthly Bill- Residential

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

    Consumption (kWh) Average Price (centskWh) Average Monthly Bill (Dollar and cents) New England 6,243,013 630 17.82 112.31 Connecticut 1,459,239 730 19.75 144.10 Maine...

  16. 2014 Average Monthly Bill- Commercial

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

    Consumption (kWh) Average Price (centskWh) Average Monthly Bill (Dollar and cents) New England 862,269 5,132 14.70 754.43 Connecticut 155,372 6,915 15.55 1,075.18 Maine...

  17. High average power pockels cell

    DOE Patents [OSTI]

    Daly, Thomas P. (Pleasanton, CA)

    1991-01-01

    A high average power pockels cell is disclosed which reduces the effect of thermally induced strains in high average power laser technology. The pockels cell includes an elongated, substantially rectangular crystalline structure formed from a KDP-type material to eliminate shear strains. The X- and Y-axes are oriented substantially perpendicular to the edges of the crystal cross-section and to the C-axis direction of propagation to eliminate shear strains.

  18. High Average Brightness Photocathode Development for FEL Applications...

    Office of Scientific and Technical Information (OSTI)

    High Average Brightness Photocathode Development for FEL Applications Citation Details ... OFFICE OF SCIENCE (SC) Country of Publication: United States Language: English Subject: 46

  19. Variable Average Absolute Percent Differences

    Gasoline and Diesel Fuel Update (EIA)

    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

  20. DOE/EIA-0035(92/11) Monthly Review

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

    Change, Petroleum Products Supplied, and Ending Stocks ... 42 3.1b Imports, Exports, and Net Imports ..... ...... ... ... . 43 3.2 Crude Oil Supply and...

  1. STEO January 2013 - average gasoline prices

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

    drivers to see lower average gasoline prices in 2013 and 2014 U.S. retail gasoline prices are expected to decline over the next two years. The average pump price for regular...

  2. ARM - Evaluation Product - Areal Average Albedo (AREALAVEALB)

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

    ProductsAreal Average Albedo (AREALAVEALB) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Areal Average Albedo (AREALAVEALB) [ ARM research - evaluation data product ] The Areal Averaged Albedo VAP yields areal averaged surface spectral albedo estimates from MFRSR measurements collected under fully

  3. Averaged null energy condition violation in a conformally flat spacetime

    SciTech Connect (OSTI)

    Urban, Douglas; Olum, Ken D.

    2010-01-15

    We show that the averaged null energy condition can be violated by a conformally coupled scalar field in a conformally flat spacetime in 3+1 dimensions. The violation is dependent on the quantum state and can be made as large as desired. It does not arise from the presence of anomalies, although anomalous violations are also possible. Since all geodesics in conformally flat spacetimes are achronal, the achronal averaged null energy condition is likewise violated.

  4. Flavor Physics Data from the Heavy Flavor Averaging Group (HFAG)

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

    The Heavy Flavor Averaging Group (HFAG) was established at the May 2002 Flavor Physics and CP Violation Conference in Philadelphia, and continues the LEP Heavy Flavor Steering Group's tradition of providing regular updates to the world averages of heavy flavor quantities. Data are provided by six subgroups that each focus on a different set of heavy flavor measurements: B lifetimes and oscillation parameters, Semi-leptonic B decays, Rare B decays, Unitarity triangle parameters, B decays to charm final states, and Charm Physics.

  5. "2014 Average Monthly Bill- Industrial"

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

    Industrial" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",28017,56832.854,11.842263,6730.2959 "Connecticut",4648,63016.315,12.915601,8138.9361 "Maine",3023,92553.92,8.9475131,8281.2741

  6. "2014 Average Monthly Bill- Residential"

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

    Residential" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Number of Customers","Average Monthly Consumption (kWh)","Average Price (cents/kWh)","Average Monthly Bill (Dollar and cents)" "New England",6243013,630.1915,17.822291,112.31456 "Connecticut",1459239,729.69421,19.748254,144.10186 "Maine",706952,549.37782,15.272983,83.90638

  7. Average and effective Q-values for fission product average (n...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Average and effective Q-values for fission product average (n,2n) and (n,3n) reaction cross sections Citation Details In-Document Search Title: Average and...

  8. Dynamic Multiscale Averaging (DMA) of Turbulent Flow

    SciTech Connect (OSTI)

    Richard W. Johnson

    2012-09-01

    A new approach called dynamic multiscale averaging (DMA) for computing the effects of turbulent flow is described. The new method encompasses multiple applications of temporal and spatial averaging, that is, multiscale operations. Initially, a direct numerical simulation (DNS) is performed for a relatively short time; it is envisioned that this short time should be long enough to capture several fluctuating time periods of the smallest scales. The flow field variables are subject to running time averaging during the DNS. After the relatively short time, the time-averaged variables are volume averaged onto a coarser grid. Both time and volume averaging of the describing equations generate correlations in the averaged equations. These correlations are computed from the flow field and added as source terms to the computation on the next coarser mesh. They represent coupling between the two adjacent scales. Since they are computed directly from first principles, there is no modeling involved. However, there is approximation involved in the coupling correlations as the flow field has been computed for only a relatively short time. After the time and spatial averaging operations are applied at a given stage, new computations are performed on the next coarser mesh using a larger time step. The process continues until the coarsest scale needed is reached. New correlations are created for each averaging procedure. The number of averaging operations needed is expected to be problem dependent. The new DMA approach is applied to a relatively low Reynolds number flow in a square duct segment. Time-averaged stream-wise velocity and vorticity contours from the DMA approach appear to be very similar to a full DNS for a similar flow reported in the literature. Expected symmetry for the final results is produced for the DMA method. The results obtained indicate that DMA holds significant potential in being able to accurately compute turbulent flow without modeling for practical engineering applications.

  9. U.S. average gasoline price up slightly

    Gasoline and Diesel Fuel Update (EIA)

    U.S. average gasoline price up slightly The U.S. average retail price for regular gasoline rose slightly to $3.65 a gallon on Monday. That's up a tenth of a penny from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Pump prices were highest in the West Coast region at 3.89 a gallon, down 4.4 cents from a week ago. Prices were lowest in the Gulf Coast States at 3.34 a gallon, down 2.6 cents. Jonathan Cogan for EIA,

  10. Polarized electron beams at milliampere average current

    SciTech Connect (OSTI)

    Poelker, Matthew

    2013-11-01

    This contribution describes some of the challenges associated with developing a polarized electron source capable of uninterrupted days-long operation at milliAmpere average beam current with polarization greater than 80%. Challenges will be presented in the context of assessing the required level of extrapolation beyond the performance of today's CEBAF polarized source operating at ~ 200 uA average current. Estimates of performance at higher current will be based on hours-long demonstrations at 1 and 4 mA. Particular attention will be paid to beam-related lifetime-limiting mechanisms, and strategies to construct a photogun that operate reliably at bias voltage > 350kV.

  11. Table 1. Real Average Transportation and Delivered Costs of Coal...

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

    Real Average Transportation and Delivered Costs of Coal, By Year and Primary Transport Mode" "Year","Average Transportation Cost of Coal (Dollars per Ton)","Average Delivered Cost...

  12. Fact #693: September 19, 2011 Average Vehicle Footprint for Cars...

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

    the average track width of the vehicle. The upcoming Corporate Average Fuel Economy (CAFE) Standards have fuel economy targets based on the vehicle footprint. The average...

  13. Fact #624: May 24, 2010 Corporate Average Fuel Economy Standards, Model Years 2012-2016

    Broader source: Energy.gov [DOE]

    The final rule for the Corporate Average Fuel Economy (CAFE) Standards was published in March 2010. Under this rule, each light vehicle model produced for sale in the United States will have a fuel...

  14. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    3 Average Square Footage of West Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total West",24.8,1708,1374,800,628,506,294 "West Divisions and States"

  15. Annual average efficiency of a solar thermochemical reactor....

    Office of Scientific and Technical Information (OSTI)

    Annual average efficiency of a solar thermochemical reactor. Citation Details In-Document Search Title: Annual average efficiency of a solar thermochemical reactor. Abstract not ...

  16. High Average Brightness Photocathode Development for FEL Applications...

    Office of Scientific and Technical Information (OSTI)

    Conference: High Average Brightness Photocathode Development for FEL Applications Citation Details In-Document Search Title: High Average Brightness Photocathode Development for...

  17. Average and effective Q-values for fission product average (n...

    Office of Scientific and Technical Information (OSTI)

    States Language: English Subject: 73 NUCLEAR PHYSICS AND RADIATION PHYSICS atomic and nuclear physics Word Cloud More Like This Full Text File size NAView Full Text View Full...

  18. Fact #889: September 7, 2015 Average Diesel Price Lower than...

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

    9: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years Fact 889: September 7, 2015 Average Diesel Price Lower than Gasoline for the First...

  19. Fact #889: September 7, 2015 Average Diesel Price Lower than...

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

    Fact 889: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years - Dataset Excel file and dataset for Average Diesel Price Lower than Gasoline ...

  20. Fact #835: August 25, 2014 Average Annual Gasoline Pump Price...

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

    Fact 835: August 25, 2014 Average Annual Gasoline Pump Price, 1929-2013 - Dataset Excel file with dataset for Fact 835: Average Annual Gasoline Pump Price, 1929-2013 File ...

  1. Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump...

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

    Fact 915: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 - Dataset Excel file and dataset for Average Historical Annual Gasoline Pump Price, 1929-2015 File ...

  2. Diesel prices continue to increase Â… U.S. average over $4

    Gasoline and Diesel Fuel Update (EIA)

    Diesel prices continue to increase - U.S. average over $4 The U.S. average retail price for on-highway diesel fuel broke the 4-dollar mark for the first time since last March. The U.S. retail average rose to $4.02 a gallon. That's up 2.8 cents from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Diesel prices were highest in the New England region at 4.39 a gallon, up 1.3 cents from a week ago. Prices were lowest in the Gulf Coast states at 3.81 a

  3. U.S. diesel prices decrease Â… U.S. average still over $4

    Gasoline and Diesel Fuel Update (EIA)

    U.S. diesel prices decrease - U.S. average still over $4 The U.S. average retail price for on-highway diesel fuel fell to $4.00 a gallon. That's down 1.8 cents from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Diesel prices were highest in the New England region and Central Atlantic states at 4.31 a gallon, down 4.9 and 3.9 cents, respectively, from a week ago. Prices were lowest in the Gulf Coast states at 3.80 a gallon, down 1.1 cents.

  4. U.S. Oxygenated, Average Refiner Gasoline Prices

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

    - - - - - - 1994-2014 Through Retail Outlets 1994-2006 Sales for Resale, Average - - - - - - 1994-2014 DTW 1994-2006 Rack 1994-2006 Bulk 1994-2006

  5. "Table 2. Real Average Annual Coal Transportation Costs, By Primary...

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

    Real Average Annual Coal Transportation Costs, By Primary Transport Mode and Supply Region" "(2013 dollars per ton)" "Coal Supply Region",2008,2009,2010,2011,2012,2013 "Railroad"...

  6. Turning Bayesian model averaging into Bayesian model combination...

    Office of Scientific and Technical Information (OSTI)

    Turning Bayesian model averaging into Bayesian model combination Authors: Carroll, James 1 ; Monteith, Kristine 2 ; Seppi, Kevin 2 ; Martinez, Tony 2 + Show Author...

  7. Fact #870: April 27, 2015 Corporate Average Fuel Economy Progress,

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

    1978-2014 | Department of Energy 70: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 Fact #870: April 27, 2015 Corporate Average Fuel Economy Progress, 1978-2014 The Corporate Average Fuel Economy (CAFE) is the sales-weighted harmonic mean fuel economy of a manufacturer's fleet of new cars or light trucks in a certain model year (MY). First enacted by Congress in 1975, the standards for cars began in MY 1978 and for light trucks in MY 1979. In general, the average of all

  8. Electric Sales, Revenue, and Average Price 2011 - Energy Information...

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

    Alphabetical Frequency Tag Cloud See All Electricity Reports Electric Sales, Revenue, and Average Price With Data for 2014 | Release Date: October 21, 2015 | Next Release Date: ...

  9. U.S. Refiner Sales to End Users (Average) Prices

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

    Sales Type: Sales to End Users, Average Through Retail Outlets Sales for Resale, Average DTW Rack Bulk Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Formulation/ Grade Sales Type Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History Conventional, Average 2.161 2.057 1.785 1.759 1.601 1.472 1994-2015 Conventional Regular 2.124 2.018 1.743 1.721 1.562 1.431 1994-2015 Conventional Midgrade 2.325 2.229 1.985 1.923

  10. Fact #624: May 24, 2010 Corporate Average Fuel Economy Standards...

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

    Standards, Model Years 2012-2016 The final rule for the Corporate Average Fuel Economy (CAFE) Standards was published in March 2010. Under this rule, each light vehicle model...

  11. Does anyone have access to 2012 average residential rates by...

    Open Energy Info (EERE)

    Does anyone have access to 2012 average residential rates by utility company? I'm seeing an inconsistency between the OpenEI website and EIA 861 data set. Home > Groups > Utility...

  12. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

  13. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002...

  14. Pennsylvania Average Price of Natural Gas Delivered to Residential...

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

    67 15.82 17.83 18.62 18.32 NA 1989-2015 Commercial Average Price 10.73 11.25 12.09 11.21 11.10 NA...

  15. High Average Brightness Photocathode Development for FEL Applications

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect High Average Brightness Photocathode Development for FEL Applications Citation Details In-Document Search Title: High Average Brightness Photocathode Development for FEL Applications Authors: Rao T. ; Ben-Zvi I. ; Skarita, J. ; Wang, E. Publication Date: 2013-08-26 OSTI Identifier: 1095687 Report Number(s): BNL--101607-2013-CP KA-04 DOE Contract Number: DE-AC02-98CH10886 Resource Type: Conference Resource Relation: Conference: 35th International Free Electron

  16. Strongly Coupled Data Assimilation Using Leading Averaged Coupled

    Office of Scientific and Technical Information (OSTI)

    Covariance (LACC). Part II: CGCM experiments (Journal Article) | SciTech Connect Strongly Coupled Data Assimilation Using Leading Averaged Coupled Covariance (LACC). Part II: CGCM experiments Citation Details In-Document Search Title: Strongly Coupled Data Assimilation Using Leading Averaged Coupled Covariance (LACC). Part II: CGCM experiments Authors: Liu, Feiyu ; Liu, Zhengyu ; Zhang, S. ; Liu, Y. ; Jacob, Robert L. Publication Date: 2015-11-01 OSTI Identifier: 1237902 DOE Contract Number:

  17. The U.S. average retail price for on-highway diesel fuel rose this week

    Gasoline and Diesel Fuel Update (EIA)

    The U.S. average retail price for on-highway diesel fuel rose this week The U.S. average retail price for on-highway diesel fuel rose slightly to $3.90 a gallon on Monday. That's up 8-tenths of a penny from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Diesel prices were highest in the New England region, at 4.16 a gallon, down a penny from a week ago. Prices were lowest in the Rocky Mountain States at $3.68 a gallon, down 1.7

  18. The U.S. average retail price for on-highway diesel fuel rose this week

    Gasoline and Diesel Fuel Update (EIA)

    The U.S. average retail price for on-highway diesel fuel rose this week The U.S. average retail price for on-highway diesel fuel rose to $3.93 a gallon on Monday. That's up 2 ½ cents from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Prices increased in all regions across the U.S. The highest prices were found in the New England region, at 4.18 a gallon, up 2.3 cents from a week ago. Prices were lowest in the Rocky Mountain States at $3.74 a gallon,

  19. U.S. diesel prices decrease Â… U.S. average still over $4

    Gasoline and Diesel Fuel Update (EIA)

    U.S. diesel prices decrease - U.S. average still over $4 The U.S. average retail price for on-highway diesel fuel fell to $4.02 a gallon. That's down a tenth of a penny from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Diesel prices were highest in the New England region at 4.39 a gallon, up 3-tenths of a penny from a week ago. Prices were lowest in the Gulf Coast states at 3.79 a gallon, down 1.3 cents.

  20. U.S. diesel prices increase Â… U.S. average still over $4

    Gasoline and Diesel Fuel Update (EIA)

    U.S. diesel prices increase - U.S. average still over $4 The U.S. average retail price for on-highway diesel fuel rose to $4.02 a gallon. That's up half a penny from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Diesel prices were highest in the New England region at 4.36 a gallon, down 2.7 cents from a week ago. Prices were lowest in the Gulf Coast states at 3.81 a gallon, up 2.1 cents.

  1. Revision of the Branch Technical Position on Concentration Averaging and Encapsulation - 12510

    SciTech Connect (OSTI)

    Heath, Maurice; Kennedy, James E.; Ridge, Christianne; Lowman, Donald [U.S. NRC, Washington, DC, 20555-0001 (United States); Cochran, John [Sandia National Laboratory (United States)

    2012-07-01

    The U.S. Nuclear Regulatory Commission (NRC) regulation governing low-level waste (LLW) disposal, 'Licensing Requirements for Land Disposal of Radioactive Waste', 10 CFR Part 61, establishes a waste classification system based on the concentration of specific radionuclides contained in the waste. The regulation also states, at 10 CFR 61.55(a)(8), that, 'the concentration of a radionuclide (in waste) may be averaged over the volume of the waste, or weight of the waste if the units are expressed as nanocuries per gram'. The NRC's Branch Technical Position on Concentration Averaging and Encapsulation provides guidance on averaging radionuclide concentrations in waste under 10 CFR 61.55(a)(8) when classifying waste for disposal. In 2007, the NRC staff proposed to revise the Branch Technical Position on Concentration Averaging and Encapsulation. The Branch Technical Position on Concentration Averaging and Encapsulation is an NRC guidance document for averaging and classifying wastes under 10 CFR 61. The Branch Technical Position on Concentration Averaging and Encapsulation is used by nuclear power plants (NPPs) licensees and sealed source users, among others. In addition, three of the four U.S. LLW disposal facility operators are required to honor the Branch Technical Position on Concentration Averaging and Encapsulation as a licensing condition. In 2010, the Commission directed the staff to develop guidance regarding large scale blending of similar homogenous waste types, as described in SECY-10-0043 as part of its Branch Technical Position on Concentration Averaging and Encapsulation revision. The Commission is improving the regulatory approach used in the Branch Technical Position on Concentration Averaging and Encapsulation by moving towards a making it more risk-informed and performance-based approach, which is more consistent with the agency's regulatory policies. Among the improvements to the Branch Technical Position on Concentration Averaging and Encapsulation are more risk-informed limits for the sizes of sealed sources for safe disposal. Using more realistic intruder exposure scenarios, the suggested limits for Class B and C waste disposal of sealed sources, particularly Cs-137 and Co-60, have been increased. These suggested changes, and others in the Branch Technical Position on Concentration Averaging and Encapsulation, if adopted by Agreement States, have the potential to eliminate numerous orphan sources (i.e., sources that currently have no disposal pathway) that are now being stored. Permanent disposal of these sources, rather than temporary storage, will help reduce safety and security risks. The revised Branch Technical Position on Concentration Averaging and Encapsulation has an alternative approach section which provides flexibility to generators and processors, while also ensuring that intruder protection will be maintained. Alternative approaches provide flexibility by allowing for consideration of likelihood of intrusion, the possibility of averaging over larger volumes and allowing for disposal of large activity sources. The revision has improved the organization of the Branch Technical Position on Concentration Averaging and Encapsulation, improved its clarity, better documented the bases for positions, and made the positions more risk informed while also maintaining protection for intruder as required by 10 CFR Part 61. (authors)

  2. High average power scaleable thin-disk laser

    DOE Patents [OSTI]

    Beach, Raymond J. (Livermore, CA); Honea, Eric C. (Sunol, CA); Bibeau, Camille (Dublin, CA); Payne, Stephen A. (Castro Valley, CA); Powell, Howard (Livermore, CA); Krupke, William F. (Pleasanton, CA); Sutton, Steven B. (Manteca, CA)

    2002-01-01

    Using a thin disk laser gain element with an undoped cap layer enables the scaling of lasers to extremely high average output power values. Ordinarily, the power scaling of such thin disk lasers is limited by the deleterious effects of amplified spontaneous emission. By using an undoped cap layer diffusion bonded to the thin disk, the onset of amplified spontaneous emission does not occur as readily as if no cap layer is used, and much larger transverse thin disks can be effectively used as laser gain elements. This invention can be used as a high average power laser for material processing applications as well as for weapon and air defense applications.

  3. Turning Bayesian model averaging into Bayesian model combination

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Turning Bayesian model averaging into Bayesian model combination Citation Details In-Document Search Title: Turning Bayesian model averaging into Bayesian model combination Authors: Carroll, James [1] ; Monteith, Kristine [2] ; Seppi, Kevin [2] ; Martinez, Tony [2] + Show Author Affiliations Los Alamos National Laboratory BYU Publication Date: 2011-07-28 OSTI Identifier: 1084524 Report Number(s): LA-UR-11-04419; LA-UR-11-4419 DOE Contract Number: AC52-06NA25396

  4. Turning Bayesian model averaging into Bayesian model combination

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Turning Bayesian model averaging into Bayesian model combination Citation Details In-Document Search Title: Turning Bayesian model averaging into Bayesian model combination Authors: Carroll, James [1] ; Monteith, Kristine [2] ; Seppi, Kevin [2] ; Martinez, Tony [2] + Show Author Affiliations Los Alamos National Laboratory BYU Publication Date: 2011-07-28 OSTI Identifier: 1084524 Report Number(s): LA-UR-11-04419; LA-UR-11-4419 DOE Contract Number: AC52-06NA25396

  5. United States- Land Based and Offshore Annual Average Wind Speed at 100 Meters

    Broader source: Energy.gov [DOE]

    Full-size, high resolution version of the 100-meter land-based and offshore wind speed resource map.

  6. United States Wind Resource Map: Annual Average Wind Speed at 80 Meters

    Wind Powering America (EERE)

    80 m 01-APR-2011 2.1.1 Wind Speed m/s >10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC for windNavigator . Web: http://www.windnavigator.com | http://www.awstruepower.com. Spatial resolution of wind resource data: 2.5 km. Projection: Albers Equal Area WGS84. ¶

  7. High energy, high average power solid state green or UV laser

    DOE Patents [OSTI]

    Hackel, Lloyd A.; Norton, Mary; Dane, C. Brent

    2004-03-02

    A system for producing a green or UV output beam for illuminating a large area with relatively high beam fluence. A Nd:glass laser produces a near-infrared output by means of an oscillator that generates a high quality but low power output and then multi-pass through and amplification in a zig-zag slab amplifier and wavefront correction in a phase conjugator at the midway point of the multi-pass amplification. The green or UV output is generated by means of conversion crystals that follow final propagation through the zig-zag slab amplifier.

  8. Parity-violating anomalies and the stationarity of stochastic averages

    SciTech Connect (OSTI)

    Reuter, M.

    1988-01-15

    Within the framework of stochastic quantization the parity-violating anomalies in odd space-time dimensions are derived from the asymptotic stationarity of the stochastic average of a certain fermion bilinear. Contrary to earlier attempts, this method yields the correct anomalies for both massive and massless fermions.

  9. Speckle averaging system for laser raster-scan image projection

    DOE Patents [OSTI]

    Tiszauer, Detlev H. (Tracy, CA); Hackel, Lloyd A. (Livermore, CA)

    1998-03-17

    The viewers' perception of laser speckle in a laser-scanned image projection system is modified or eliminated by the addition of an optical deflection system that effectively presents a new speckle realization at each point on the viewing screen to each viewer for every scan across the field. The speckle averaging is accomplished without introduction of spurious imaging artifacts.

  10. Speckle averaging system for laser raster-scan image projection

    DOE Patents [OSTI]

    Tiszauer, D.H.; Hackel, L.A.

    1998-03-17

    The viewers` perception of laser speckle in a laser-scanned image projection system is modified or eliminated by the addition of an optical deflection system that effectively presents a new speckle realization at each point on the viewing screen to each viewer for every scan across the field. The speckle averaging is accomplished without introduction of spurious imaging artifacts. 5 figs.

  11. Florida Average Price of Natural Gas Delivered to Residential and

    Gasoline and Diesel Fuel Update (EIA)

    Commercial Consumers by Local Distribution and Markete 4.58 24.59 24.41 23.37 21.56 19.15 1989-2015 Commercial Average Price 10.92 10.91 11.15 10.61 10.69 10.89

  12. Georgia Average Price of Natural Gas Delivered to Residential and

    Gasoline and Diesel Fuel Update (EIA)

    Commercial Consumers by Local Distribution and Markete 5.45 24.78 25.75 20.43 15.20 14.41 1989-2015 Commercial Average Price 9.08 9.07 9.38 8.65 9.72 7.80

  13. Virginia Average Price of Natural Gas Delivered to Residential and

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

    Commercial Consumers by Local Distribution and Market 20.25 21.10 19.45 NA 11.72 12.09 1989-2015 Commercial Average Price 8.55 8.58 8.91 8.02 7.57 7.9

  14. Maryland Average Price of Natural Gas Delivered to Residential...

    Gasoline and Diesel Fuel Update (EIA)

    8.35 18.44 19.08 19.39 13.51 12.72 1989-2015 Commercial Average Price 11.74 10.98 11.61 11.11 9.98 9.56...

  15. Michigan Average Price of Natural Gas Delivered to Residential...

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

    2.50 13.65 13.52 13.21 8.93 7.84 1989-2015 Commercial Average Price 8.91 9.31 9.17 9.05 7.46 6.75...

  16. New York Average Price of Natural Gas Delivered to Residential...

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

    6.28 17.10 17.33 17.53 14.26 12.27 1989-2015 Commercial Average Price 6.84 6.08 5.75 5.99 6.27 6.3...

  17. Maryland Average Price of Natural Gas Delivered to Residential...

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

    Local Distribution Companies 12.20 2006-2010 Marketers 13.51 2006-2010 Percent Sold by Local Distribution Companies 81.7 2006-2010 Commercial Average Price 9.87 10.29 10.00 10.06 ...

  18. Florida Average Price of Natural Gas Delivered to Residential...

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

    Local Distribution Companies 17.85 2006-2010 Marketers 19.44 2006-2010 Percent Sold by Local Distribution Companies 97.9 2006-2010 Commercial Average Price 10.60 11.14 10.41 10.87 ...

  19. New Jersey Average Price of Natural Gas Delivered to Residential...

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

    Local Distribution Companies 12.77 2006-2010 Marketers 14.87 2006-2010 Percent Sold by Local Distribution Companies 96.6 2006-2010 Commercial Average Price 10.11 9.51 8.50 9.55 ...

  20. Michigan Average Price of Natural Gas Delivered to Residential...

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

    Commercial Average Price 8.95 9.14 8.35 7.82 8.28 7.49 1967-2015 Local Distribution Companies 10.00 2006-2010 Marketers 7.61 2006-2010 Percent Sold by Local Distribution Companies ...

  1. Virginia Average Price of Natural Gas Delivered to Residential...

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

    Local Distribution Companies 12.64 2006-2010 Marketers 13.64 2006-2010 Percent Sold by Local Distribution Companies 90.9 2006-2010 Commercial Average Price 9.55 9.69 8.77 8.83 9.17 ...

  2. Pennsylvania Average Price of Natural Gas Delivered to Residential...

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

    Local Distribution Companies 12.82 2006-2010 Marketers 13.78 2006-2010 Percent Sold by Local Distribution Companies 91.2 2006-2010 Commercial Average Price 10.47 10.42 10.24 10.11 ...

  3. District of Columbia Average Price of Natural Gas Delivered to...

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

    Average Price 12.26 12.24 11.19 11.64 12.18 11.55 1980-2015 Local Distribution Companies 12.99 2006-2010 Marketers 12.12 2006-2010 Percent Sold by Local Distribution Companies 16.4 ...

  4. Strongly Coupled Data Assimilation Using Leading Averaged Coupled...

    Office of Scientific and Technical Information (OSTI)

    and Geospace Sciences (GEOOAD); USDOE Office of Science Country of Publication: United States Language: English Word Cloud More Like This Full Text Journal Articles ...

  5. Modeling an Application's Theoretical Minimum and Average Transactional Response Times

    SciTech Connect (OSTI)

    Paiz, Mary Rose

    2015-04-01

    The theoretical minimum transactional response time of an application serves as a ba- sis for the expected response time. The lower threshold for the minimum response time represents the minimum amount of time that the application should take to complete a transaction. Knowing the lower threshold is beneficial in detecting anomalies that are re- sults of unsuccessful transactions. On the converse, when an application's response time falls above an upper threshold, there is likely an anomaly in the application that is causing unusual performance issues in the transaction. This report explains how the non-stationary Generalized Extreme Value distribution is used to estimate the lower threshold of an ap- plication's daily minimum transactional response time. It also explains how the seasonal Autoregressive Integrated Moving Average time series model is used to estimate the upper threshold for an application's average transactional response time.

  6. Average dynamics of a finite set of coupled phase oscillators

    SciTech Connect (OSTI)

    Dima, Germán C. Mindlin, Gabriel B.

    2014-06-15

    We study the solutions of a dynamical system describing the average activity of an infinitely large set of driven coupled excitable units. We compared their topological organization with that reconstructed from the numerical integration of finite sets. In this way, we present a strategy to establish the pertinence of approximating the dynamics of finite sets of coupled nonlinear units by the dynamics of its infinitely large surrogate.

  7. Averaging cross section data so we can fit it

    SciTech Connect (OSTI)

    Brown, D.

    2014-10-23

    The 56Fe cross section we are interested in have a lot of fluctuations. We would like to fit the average of the cross section with cross sections calculated within EMPIRE. EMPIRE is a Hauser-Feshbach theory based nuclear reaction code, requires cross sections to be smoothed using a Lorentzian profile. The plan is to fit EMPIRE to these cross sections in the fast region (say above 500 keV).

  8. Table A44. Average Prices of Purchased Electricity and Steam

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

    4. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam" ," (kWh)",," (million Btu)" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic

  9. Does the orbit-averaged theory require a scale separation between periodic orbit size and perturbation correlation length?

    SciTech Connect (OSTI)

    Zhang, Wenlu; Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026; Department of Physics and Astronomy, University of California, Irvine, California 92697 ; Lin, Zhihong; Fusion Simulation Center, Peking University, Beijing 100871

    2013-10-15

    Using the canonical perturbation theory, we show that the orbit-averaged theory only requires a time-scale separation between equilibrium and perturbed motions and verifies the widely accepted notion that orbit averaging effects greatly reduce the microturbulent transport of energetic particles in a tokamak. Therefore, a recent claim [Hauff and Jenko, Phys. Rev. Lett. 102, 075004 (2009); Jenko et al., ibid. 107, 239502 (2011)] stating that the orbit-averaged theory requires a scale separation between equilibrium orbit size and perturbation correlation length is erroneous.

  10. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    a. Average Electricity Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars, cents per kilowatt-hour in ""dollar year"" specific to each AEO)" ,"AEO $ Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",1992,6.799,6.7999,6.9,6.9,6.9,6.9,7,7,7.1,7.1,7.2,7.2,7.2,7.3,7.3,7.4,7.5,7.6 "AEO

  11. U.S. Conventional, Average Refiner Gasoline Prices

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

    1.841 2.259 3.008 3.083 2.977 2.778 1994-2014 Through Retail Outlets 1.845 2.264 3.016 3.098 2.997 2.800 1994-2014 Sales for Resale, Average 1.738 2.143 2.841 2.886 2.774 2.587 1994-2014 DTW 1.843 2.270 2.939 3.024 2.825 2.736 1994-2014 Rack 1.750 2.155 2.851 2.887 2.775 2.589 1994-2014 Bulk 1.664 2.069 2.758 2.843 2.755 2.535 1994-2014

  12. U.S. Conventional, Average Refiner Gasoline Prices

    Gasoline and Diesel Fuel Update (EIA)

    161 2.057 1.785 1.759 1.601 1.472 1994-2015 Through Retail Outlets 2.160 2.058 1.786 1.760 1.602 1.472 1994-2015 Sales for Resale, Average 1.975 1.763 1.553 1.513 1.373 1.290 1994-2015 DTW 2.319 2.109 1.812 1.637 1.591 1.532 1994-2015 Rack 1.965 1.759 1.559 1.519 1.372 1.288 1994-2015 Bulk 1.991 1.707 1.449 1.413 1.326 1.254

  13. U.S. Reformulated, Average Refiner Gasoline Prices

    Gasoline and Diesel Fuel Update (EIA)

    660 2.501 2.155 2.007 1.905 1.836 1994-2015 Through Retail Outlets 2.661 2.503 2.157 2.008 1.907 1.837 1994-2015 Sales for Resale, Average 2.283 1.996 1.728 1.651 1.537 1.497 1994-2015 DTW 2.795 2.477 2.128 1.979 1.864 1.854 1994-2015 Rack 2.165 1.886 1.634 1.577 1.459 1.412 1994-2015 Bulk 2.208 1.866 1.645 1.566 1.524 1.456

  14. Table 17. Average Price of U.S. Coke Exports

    Gasoline and Diesel Fuel Update (EIA)

    7. Average Price of U.S. Coke Exports (dollars per short ton) Year to Date Continent and Country of Destination July - September 2015 April - June 2015 July - September 2014 2015 2014 Percent Change North America Total 234.67 253.60 264.43 252.47 261.48 -3.4 Canada* 209.80 247.54 287.72 243.43 285.74 -14.8 Mexico 460.37 307.48 200.84 305.69 217.48 40.6 Other** 643.59 666.50 577.54 640.63 545.34 17.5 South America Total 135.27 - 465.18 252.87 154.98 63.2 Other** 135.27 - 465.18 252.87 154.98 63.2

  15. Table 19. Average Price of U.S. Coal Imports

    Gasoline and Diesel Fuel Update (EIA)

    9. Average Price of U.S. Coal Imports (dollars per short ton) Year to Date Continent and Country of Origin July - September 2015 April - June 2015 July - September 2014 2015 2014 Percent Change North America Total 121.76 122.71 133.33 119.13 130.81 -8.9 Canada 121.76 122.71 133.33 119.13 130.81 -8.9 Mexico - - 209.82 113.43 209.82 -45.9 South America Total 65.22 66.89 76.03 67.64 78.56 -13.9 Colombia 65.34 66.89 75.63 67.59 78.37 -13.8 Peru - 92.99 81.65 86.24 81.65 5.6 Venezuela 57.60 - 90.59

  16. Table 22. Average Price of U.S. Coke Imports

    Gasoline and Diesel Fuel Update (EIA)

    2. Average Price of U.S. Coke Imports (dollars per short ton) Year to Date Continent and Country of Origin July - September 2015 April - June 2015 July - September 2014 2015 2014 Percent Change North America Total 120.37 192.95 189.61 131.75 96.81 36.1 Canada 120.37 192.95 189.61 131.75 96.81 36.1 South America Total 201.39 274.73 223.17 202.76 223.17 -9.1 Colombia 201.39 274.73 223.17 202.76 223.17 -9.1 Europe Total 120.34 302.86 363.18 153.02 397.65 -61.5 Czech Republic - 288.36 - 288.36 - -

  17. Table 8. Average Price of U.S. Coal Exports

    Gasoline and Diesel Fuel Update (EIA)

    8. Average Price of U.S. Coal Exports (dollars per short ton) Year to Date Continent and Country of Destination July - September 2015 April - June 2015 July - September 2014 2015 2014 Percent Change North America Total 82.44 83.85 79.86 81.55 76.14 7.1 Canada* 89.71 89.92 84.62 88.24 75.55 16.8 Dominican Republic 77.11 78.67 56.46 84.15 53.14 58.4 Guatemala 34.59 103.41 - 45.24 81.92 -44.8 Honduras 45.36 45.36 54.43 47.54 54.43 -12.7 Jamaica 80.74 90.72 55.34 73.19 54.88 33.4 Mexico 74.06 75.06

  18. Average System Cost Methodology : Administrator's Record of Decision.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1984-06-01

    Significant features of average system cost (ASC) methodology adopted are: retention of the jurisdictional approach where retail rate orders of regulartory agencies provide primary data for computing the ASC for utilities participating in the residential exchange; inclusion of transmission costs; exclusion of construction work in progress; use of a utility's weighted cost of debt securities; exclusion of income taxes; simplification of separation procedures for subsidized generation and transmission accounts from other accounts; clarification of ASC methodology rules; more generous review timetable for individual filings; phase-in of reformed methodology; and each exchanging utility must file under the new methodology within 20 days of implementation by the Federal Energy Regulatory Commission of the ten major participating utilities, the revised ASC will substantially only affect three. (PSB)

  19. Gauge and averaging in gravitational self-force

    SciTech Connect (OSTI)

    Gralla, Samuel E.

    2011-10-15

    A difficulty with previous treatments of the gravitational self-force is that an explicit formula for the force is available only in a particular gauge (Lorenz gauge), where the force in other gauges must be found through a transformation law once the Lorenz-gauge force is known. For a class of gauges satisfying a 'parity condition' ensuring that the Hamiltonian center of mass of the particle is well-defined, I show that the gravitational self-force is always given by the angle average of the bare gravitational force. To derive this result I replace the computational strategy of previous work with a new approach, wherein the form of the force is first fixed up to a gauge-invariant piece by simple manipulations, and then that piece is determined by working in a gauge designed specifically to simplify the computation. This offers significant computational savings over the Lorenz gauge, since the Hadamard expansion is avoided entirely and the metric perturbation takes a very simple form. I also show that the rest mass of the particle does not evolve due to first-order self-force effects. Finally, I consider the 'mode sum regularization' scheme for computing the self-force in black hole background spacetimes, and use the angle-average form of the force to show that the same mode-by-mode subtraction may be performed in all parity-regular gauges. It appears plausible that suitably modified versions of the Regge-Wheeler and radiation gauges (convenient to Schwarzschild and Kerr, respectively) are in this class.

  20. DE/SC-ARM/TR-130 Aerosol Observing System Cloud Condensation Nuclei Average

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

    DE/SC-ARM/TR-130 Aerosol Observing System Cloud Condensation Nuclei Average (AOSCCNAVG) Value-Added Product Y Shi A Jefferson C Flynn July 2013 DOE/SC-ARM/TR-130 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus,

  1. Table 7.1 Average Prices of Purchased Energy Sources, 2010

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

    Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Coal NAICS TOTAL Acetylene Breeze Total Anthracite Code(a) Subsector and Industry (million Btu) (cu ft) (short tons) (short tons) (short tons) Total United States 311 Food 9.12 0.26 0.00 53.43 90.85 3112 Grain and Oilseed Milling 6.30 0.29 0.00 51.34 50.47 311221 Wet Corn Milling 4.87 0.48 0.00 47.74 50.47 31131 Sugar

  2. Table 7.4 Average Prices of Selected Purchased Energy Sources, 2010;

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

    4 Average Prices of Selected Purchased Energy Sources, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: U.S. Dollars per Physical Units. Residual Distillate LPG and Economic Electricity Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal Characteristic(a) (kWh) (gallons) (gallons) (1000 cu ft) (gallons) (short tons) Total United States Value of Shipments and Receipts (million dollars) Under 20 0.093 1.55 2.58 6.64 1.80 78.29 20-49

  3. Average monthly gasoline price to fall to $3.43 by September

    Gasoline and Diesel Fuel Update (EIA)

    monthly gasoline price to fall to $3.43 by September The U.S. average monthly retail price of gasoline is expected to decline by about 18 cents per gallon between May and September, according to the new forecast from the U.S. Energy Information Administration. The lower price reflects, in part, slightly lower crude oil prices that account for about two-thirds of the cost at the pump. The largest price drops are expected in the Midwest states as refineries serving that region, which had been down

  4. Calculation of variable-base degree-days and degree-nights from monthly average temperatures

    SciTech Connect (OSTI)

    Sonderegger, R.; Cleary, P.; Dickinson, B.

    1985-01-01

    The Computerized Instrumented Residential Audit (CIRA), a micro-computer building energy analysis program developed at Lawrence Berkeley Laboratory, uses a monthly variable-base degree-day method to calculate heating and cooling loads. The method's unique feature is its ability to model thermostat setbacks and storage of solar gain. The program accomplishes this by dividing each day into two periods, ''average day'' (8 a.m. to 8 p.m.) and ''average night'' (8 p.m. to 8 a.m.), with different base temperatures. For each mode (heating or cooling) and for each period (day or night), the program reconstructs degree-days as a function of average monthly day or night temperature using three empirical coefficients specific to the location. A comparison is made between degree-days computed from hourly weather tapes and those predicted using this method. The root mean square error between predicted and actual degree days is typically between 3 and 12 degree-days per month. Tables of the coefficients are given for over 150 locations in the United States, computed from hourly dry-bulb temperatures on TRY and TMY tapes. Seasonal predictions of heating and cooling energy budgets using this method show good correspondence to the DOE-2 hourly simulation method.

  5. The impact of NRC guidance on concentration averaging on low level waste sealed source disposal - 11424

    SciTech Connect (OSTI)

    Whitworth, Julia; Stewart, Bill; Cuthbertson, Abigail

    2011-01-20

    As part of its ongoing efforts to revise the Nuclear Regulatory Commission's (NRC) current position on blending to be risk-informed and performance based and its current review of the low-level waste classification codified in 10 CFR 61.55, the Nuclear Regulatory Commission (NRC) has stated that it may review the 1995 'Branch Technical Position on Concentration Averaging and Encapsulation' (BTP), which is still commonly used today. Such a review will have timely advantages, given the lack of commercial disposal availability within the United States for radioactive sealed sources that are in wide beneficial use across the country. The current application of the BTP guidance has resulted in an effective cap on commercial disposal for sources larger than 1.1 TBq (30 Ci). This paper will analyze how the BTP has been implemented with respect to sealed sources, what the implications have been for commercial disposal availability, and whether alternative packaging configurations could be considered for disposal.

  6. Table 14a. Average Electricity Prices, Projected vs. Actual

    Gasoline and Diesel Fuel Update (EIA)

    a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 6.80 6.80 6.90 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 7.20 7.20 7.30 7.30 7.40 7.50 7.60 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20

  7. Ensemble bayesian model averaging using markov chain Monte Carlo sampling

    SciTech Connect (OSTI)

    Vrugt, Jasper A; Diks, Cees G H; Clark, Martyn P

    2008-01-01

    Bayesian model averaging (BMA) has recently been proposed as a statistical method to calibrate forecast ensembles from numerical weather models. Successful implementation of BMA however, requires accurate estimates of the weights and variances of the individual competing models in the ensemble. In their seminal paper (Raftery etal. Mon Weather Rev 133: 1155-1174, 2(05)) has recommended the Expectation-Maximization (EM) algorithm for BMA model training, even though global convergence of this algorithm cannot be guaranteed. In this paper, we compare the performance of the EM algorithm and the recently developed Differential Evolution Adaptive Metropolis (DREAM) Markov Chain Monte Carlo (MCMC) algorithm for estimating the BMA weights and variances. Simulation experiments using 48-hour ensemble data of surface temperature and multi-model stream-flow forecasts show that both methods produce similar results, and that their performance is unaffected by the length of the training data set. However, MCMC simulation with DREAM is capable of efficiently handling a wide variety of BMA predictive distributions, and provides useful information about the uncertainty associated with the estimated BMA weights and variances.

  8. High average power magnetic modulator for copper lasers

    SciTech Connect (OSTI)

    Cook, E.G.; Ball, D.G.; Birx, D.L.; Branum, J.D.; Peluso, S.E.; Langford, M.D.; Speer, R.D.; Sullivan, J.R.; Woods, P.G.

    1991-06-14

    Magnetic compression circuits show the promise of long life for operation at high average powers and high repetition rates. When the Atomic Vapor Laser Isotope Separation (AVLIS) Program at Lawrence Livermore National Laboratory needed new modulators to drive their higher power copper lasers in the Laser Demonstration Facility (LDF), existing technology using thyratron switched capacitor inversion circuits did not meet the goal for long lifetimes at the required power levels. We have demonstrated that magnetic compression circuits can achieve this goal. Improving thyratron lifetime is achieved by increasing the thyratron conduction time, thereby reducing the effect of cathode depletion. This paper describes a three stage magnetic modulator designed to provide a 60 kV pulse to a copper laser at a 4. 5 kHz repetition rate. This modulator operates at 34 kW input power and has exhibited MTBF of {approx}1000 hours when using thyratrons and even longer MTBFs with a series of stack of SCRs for the main switch. Within this paper, the electrical and mechanical designs for the magnetic compression circuits are discussed as are the important performance parameters of lifetime and jitter. Ancillary circuits such as the charge circuit and reset circuit are shown. 8 refs., 5 figs., 1 tab.

  9. Fact #615: March 22, 2010 Average Vehicle Trip Length | Department of

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

    Energy 5: March 22, 2010 Average Vehicle Trip Length Fact #615: March 22, 2010 Average Vehicle Trip Length According to the latest National Household Travel Survey, the average trip length grew to over 10 miles in 2009, just slightly over the 9.9 mile average in 2001. Trips to work in 2009 increased to an average of 12.6 miles. The average trip length has been growing each survey year since the lowest average in 1983. Average Vehicle Trip Length, 1969-2009 Graph showing the average vehicle

  10. Fact #744: September 10, 2012 Average New Light Vehicle Price Grows Faster

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

    than Average Used Light Vehicle Price | Department of Energy 4: September 10, 2012 Average New Light Vehicle Price Grows Faster than Average Used Light Vehicle Price Fact #744: September 10, 2012 Average New Light Vehicle Price Grows Faster than Average Used Light Vehicle Price In 2011 the average used light vehicle price was 36% higher than in 1990, while the average new light vehicle price was 67% higher than it was in 1990. The average price of a used vehicle had been between $6,000 and

  11. Fact #614: March 15, 2010 Average Age of Household Vehicles | Department of

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

    Energy 4: March 15, 2010 Average Age of Household Vehicles Fact #614: March 15, 2010 Average Age of Household Vehicles The average age of household vehicles has increased from 6.6 years in 1977 to 9.2 years in 2009. Pickup trucks have the oldest average age in every year listed. Sport utility vehicles (SUVs), first reported in the 1995 survey, have the youngest average age. Average Vehicle Age by Vehicle Type Graph showing the average vehicle age by type (car, van, pickup, SUV, all household

  12. Fact #671: April 18, 2011 Average Truck Speeds | Department of Energy

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

    1: April 18, 2011 Average Truck Speeds Fact #671: April 18, 2011 Average Truck Speeds The Federal Highway Administration studies traffic volume and flow on major truck routes by tracking more than 500,000 trucks. The average speed of trucks on selected interstate highways is between 50 and 60 miles per hour (mph). The average operating speed of trucks is typically below 55 mph in major urban areas, border crossings, and in mountainous terrain. The difference in average speed between peak traffic

  13. Natural Gas Processing Plants in the United States: 2010 Update...

    Gasoline and Diesel Fuel Update (EIA)

    National Overview Processing Plant Utilization Data collected for 2009 show that the States with the highest total processing capacity are among the States with the highest average...

  14. Derivation of 24-Hour Average SO2, Background for the Update...

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

    Derivation of 24-Hour Average SO2, Background for the Update 1 Report Derivation of 24-Hour Average SO2, Background for the Update 1 Report Docket No. EO-05-01. As supporting...

  15. Fact #693: September 19, 2011 Average Vehicle Footprint for Cars and Light

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

    Trucks | Department of Energy 3: September 19, 2011 Average Vehicle Footprint for Cars and Light Trucks Fact #693: September 19, 2011 Average Vehicle Footprint for Cars and Light Trucks A vehicle footprint is the area defined by the four points where the tires touch the ground. It is calculated as the product of the wheelbase and the average track width of the vehicle. The upcoming Corporate Average Fuel Economy (CAFE) Standards have fuel economy targets based on the vehicle footprint. The

  16. Fact #835: August 25, 2014 Average Annual Gasoline Pump Price, 1929-2013

    Office of Environmental Management (EM)

    - Dataset | Department of Energy 35: August 25, 2014 Average Annual Gasoline Pump Price, 1929-2013 - Dataset Fact #835: August 25, 2014 Average Annual Gasoline Pump Price, 1929-2013 - Dataset Excel file with dataset for Fact #835: Average Annual Gasoline Pump Price, 1929-2013 File fotw#835_web.xlsx More Documents & Publications Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 - Dataset Fact #888: August 31, 2015 Historical Gas Prices - Dataset Offshore

  17. Energy Efficiency in State Facilities

    Broader source: Energy.gov [DOE]

    In April 2005 Iowa governor Tom Vilsack issued Executive Order No. 41, directing state agencies to reduce electricity and natural gas use in buildings by an average of 15% by 2010, relative to th...

  18. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    0 Average Square Footage of Northeast Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Northeast",20.8,2121,1663,921,836,656,363 "Northeast Divisions and

  19. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    1 Average Square Footage of Midwest Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Midwest",25.9,2272,1898,1372,912,762,551 "Midwest Divisions and

  20. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    2 Average Square Footage of South Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total South",42.1,1867,1637,1549,732,642,607 "South Divisions and

  1. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    4 Average Square Footage of Single-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Single-Family",78.6,2422,2002,1522,880,727,553 "Census

  2. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    5 Average Square Footage of Multi-Family Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Multi-Family",28.1,930,807,535,453,393,261 "Census Region"

  3. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    6 Average Square Footage of Mobile Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total Mobile Homes",6.9,1087,985,746,413,375,283 "Census Region"

  4. ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member"

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

    9 Average Square Footage of U.S. Homes, by Housing Characteristics, 2009" " Final" ,"Housing Units1","Average Square Footage Per Housing Unit",,,"Average Square Footage Per Household Member" "Housing Characteristics","Millions","Total2","Heated","Cooled","Total2","Heated","Cooled" "Total",113.6,1971,1644,1230,766,639,478 "Census Region"

  5. Fact #715: February 20, 2012 The Average Age of Light Vehicles Continues to

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

    Rise | Department of Energy 5: February 20, 2012 The Average Age of Light Vehicles Continues to Rise Fact #715: February 20, 2012 The Average Age of Light Vehicles Continues to Rise The average age for cars and light trucks continues to rise as consumers hold onto their vehicles longer. Between 1995 and 2011, the average age for cars increased by 32% from 8.4 years to 11.1 years. For light trucks, the average age increased by 25% during that same period from 8.3 years to 10.4 years. The

  6. Fact #728: May 21, 2012 Average Trip Length is Less Than Ten Miles |

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

    Department of Energy 8: May 21, 2012 Average Trip Length is Less Than Ten Miles Fact #728: May 21, 2012 Average Trip Length is Less Than Ten Miles The average trip length (one-way) is 9.7 miles according to the 2009 Nationwide Personal Transportation Survey. Trip lengths vary by the purpose of the trip. Shopping and family/personal business are the shortest trips, on average. One-way trips to/from work average 12.2 miles. Trip Length by Purpose, 2009 Graphic showing trip length by purpose,

  7. Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel

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

    Economy than Midsize Non-Hybrid Cars in 2014 | Department of Energy 9: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014 Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014 For the 2014 model year, midsize hybrid cars averaged 43.4 miles per gallon (mpg) while midsize non-hybrid cars averaged 28.7 mpg; the difference between the two has narrowed due to the rising average

  8. Time-averaged quantum dynamics and the validity of the effective

    Office of Scientific and Technical Information (OSTI)

    Hamiltonian model (Journal Article) | SciTech Connect Time-averaged quantum dynamics and the validity of the effective Hamiltonian model Citation Details In-Document Search Title: Time-averaged quantum dynamics and the validity of the effective Hamiltonian model We develop a technique for finding the dynamical evolution in time of an averaged density matrix. The result is an equation of evolution that includes an effective Hamiltonian, as well as decoherence terms in Lindblad form. Applying

  9. Fact #889: September 7, 2015 Average Diesel Price Lower than Gasoline for

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

    the First Time in Six Years | Department of Energy 9: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years Fact #889: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years SUBSCRIBE to the Fact of the Week In July of 2015, the nationwide average price of diesel was lower than the average price of a regular gallon of gasoline for the first time since June 2009. Both gasoline and diesel prices fluctuate throughout the

  10. Average U.S. household to spend $710 less on gasoline during 2015

    Gasoline and Diesel Fuel Update (EIA)

    Average U.S. household to spend $710 less on gasoline during 2015 Even with the recent increases in gasoline prices, the average U.S. household is still expected save $710 in gasoline costs this year compared with what was paid at the pump in 2014. In its new monthly forecast, the U.S. Energy Information Administration said the national average price for regular gasoline is expected to be $2.39 per gallon this year. That's almost $1 less than the $3.36 average in 2014. Lower crude oil prices

  11. Gasoline price to average below $2 in 2016 for first time in 12 years

    Gasoline and Diesel Fuel Update (EIA)

    Gasoline price to average below $2 in 2016 for first time in 12 years The annual average price for U.S. regular-grade gasoline is expected to fall below $2 per gallon this year for the first time since 2004. In its new monthly forecast, the U.S. Energy Information Administration said drivers will pay on average $1.98 per gallon to fill up at the pump with regular-grade gasoline. EIA expects the monthly average price of gasoline to reach a seven-year low of $1.82 per gallon in February, before

  12. Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price,

    Office of Environmental Management (EM)

    1929-2015 - Dataset | Department of Energy 5: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 - Dataset Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 - Dataset Excel file and dataset for Average Historical Annual Gasoline Pump Price, 1929-2015 File fotw#915_web.xlsx More Documents & Publications Fact #835: August 25, 2014 Average Annual Gasoline Pump Price, 1929-2013 - Dataset Fact #888: August 31, 2015 Historical Gas Prices -

  13. A comparison of spatial averaging and Cadzow's method for array wavenumber estimation

    SciTech Connect (OSTI)

    Harris, D.B.; Clark, G.A.

    1989-10-31

    We are concerned with resolving superimposed, correlated seismic waves with small-aperture arrays. The limited time-bandwidth product of transient seismic signals complicates the task. We examine the use of MUSIC and Cadzow's ML estimator with and without subarray averaging for resolution potential. A case study with real data favors the MUSIC algorithm and a multiple event covariance averaging scheme.

  14. Origin State Destination State

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

    State 2001 2002 2003 2004 2005 2006 2007 2008 2009 2001-2009 2008-2009 Alabama Alabama W W W W W W W W W W W Alabama Georgia W W W W W W W W W W W Alabama Illinois - - - - - W W...

  15. Retrieval of Areal-averaged Spectral Surface Albedo from Transmission Data Alone: Computationally Simple and Fast Approach

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Barnard, James C.; Flynn, Connor J.; Riihimaki, Laura D.; Michalsky, Joseph; Hodges, G. B.

    2014-10-25

    We introduce and evaluate a simple retrieval of areal-averaged surface albedo using ground-based measurements of atmospheric transmission alone at five wavelengths (415, 500, 615, 673 and 870nm), under fully overcast conditions. Our retrieval is based on a one-line semi-analytical equation and widely accepted assumptions regarding the weak spectral dependence of cloud optical properties, such as cloud optical depth and asymmetry parameter, in the visible and near-infrared spectral range. To illustrate the performance of our retrieval, we use as input measurements of spectral atmospheric transmission from Multi-Filter Rotating Shadowband Radiometer (MFRSR). These MFRSR data are collected at two well-established continental sites in the United States supported by the U.S. Department of Energy’s (DOE’s) Atmospheric Radiation Measurement (ARM) Program and National Oceanic and Atmospheric Administration (NOAA). The areal-averaged albedos obtained from the MFRSR are compared with collocated and coincident Moderate Resolution Imaging Spectroradiometer (MODIS) white-sky albedo. In particular, these comparisons are made at four MFRSR wavelengths (500, 615, 673 and 870nm) and for four seasons (winter, spring, summer and fall) at the ARM site using multi-year (2008-2013) MFRSR and MODIS data. Good agreement, on average, for these wavelengths results in small values (?0.01) of the corresponding root mean square errors (RMSEs) for these two sites. The obtained RMSEs are comparable with those obtained previously for the shortwave albedos (MODIS-derived versus tower-measured) for these sites during growing seasons. We also demonstrate good agreement between tower-based daily-averaged surface albedos measured for “nearby” overcast and non-overcast days. Thus, our retrieval originally developed for overcast conditions likely can be extended for non-overcast days by interpolating between overcast retrievals.

  16. Flowmeter for determining average rate of flow of liquid in a conduit

    Office of Scientific and Technical Information (OSTI)

    (Patent) | SciTech Connect Patent: Flowmeter for determining average rate of flow of liquid in a conduit Citation Details In-Document Search Title: Flowmeter for determining average rate of flow of liquid in a conduit This invention is a compact, precise, and relatively simple device for use in determining the average rate of flow of a liquid through a conduit. The liquid may be turbulent and contain bubbles of gas. In a preferred embodiment, the flowmeter includes an electrical circuit and

  17. U.S. average gasoline prices falling to near $2 in December

    Gasoline and Diesel Fuel Update (EIA)

    U.S. average gasoline prices falling to near $2 in December U.S. retail gasoline prices are expected to continue falling over the next few months, dropping to a national average near $2 per gallon in December. In its new forecast, the U.S. Energy Information Administration said high gasoline production, cheaper winter-grade gasoline, and lower gasoline demand following this summer's peak driving season will contribute to savings at the pump for consumers. The monthly average price for gasoline

  18. Fact #622: May 10, 2010 Average Length of Light Vehicle Ownership |

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

    Department of Energy 2: May 10, 2010 Average Length of Light Vehicle Ownership Fact #622: May 10, 2010 Average Length of Light Vehicle Ownership Vehicle owners are holding onto their vehicles for a longer period, according to data from R.L. Polk and Company. The vehicle retention trends show that owners held onto a new vehicle for 56.3 months in 2008, up from 48.4 months six years earlier. New vehicle owners hold onto vehicles about 15 or 16 months longer than used vehicle owners. Average

  19. Fact #794: August 26, 2013 How Much Does an Average Vehicle Owner Pay in

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

    Fuel Taxes Each Year? | Department of Energy 4: August 26, 2013 How Much Does an Average Vehicle Owner Pay in Fuel Taxes Each Year? Fact #794: August 26, 2013 How Much Does an Average Vehicle Owner Pay in Fuel Taxes Each Year? According to the Federal Highway Administration, the average fuel economy for all light vehicles on the road today is 21.4 miles per gallon (mpg). A person owning a gasoline vehicle with that fuel efficiency pays between $137 and $296 in fuel taxes each year, depending

  20. Fact #889: September 7, 2015 Average Diesel Price Lower than Gasoline for

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

    the First Time in Six Years - Dataset | Department of Energy 9: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years - Dataset Fact #889: September 7, 2015 Average Diesel Price Lower than Gasoline for the First Time in Six Years - Dataset Excel file and dataset for Average Diesel Price Lower than Gasoline for the First Time in Six Years File fotw#889_web.xlsx More Documents & Publications Fact #859 February 9, 2015 Excess Supply is the Most Recent

  1. Average U.S. household to spend $710 less on gasoline during 2015

    Gasoline and Diesel Fuel Update (EIA)

    drivers to see big savings at the gasoline pump this summer U.S. consumers are expected to pay the lowest average price for gasoline in six years during this summer's driving season, mostly because of lower crude oil costs. In its new forecast, the U.S. Energy Information Administration said the price for regular gasoline should average $2.45 per gallon this summer. That's down more than a dollar from the $3.59 per gallon seen last summer, and the cheapest average summer pump price since 2009.

  2. Average household expected to save $675 at the pump in 2015

    Gasoline and Diesel Fuel Update (EIA)

    Average household expected to save $675 at the pump in 2015 Although retail gasoline prices have risen in recent weeks U.S. consumers are still expected to save about $675 per household in motor fuel costs this year. In its new monthly forecast, the U.S. Energy Information Administration says the average pump price for regular grade gasoline in 2015 will be $2.43 per gallon. That's about 93 cents lower than last year's average. The savings for consumers will be even bigger during the

  3. Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price,

    Office of Environmental Management (EM)

    1929-2015 | Department of Energy 915: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 Fact #915: March 7, 2016 Average Historical Annual Gasoline Pump Price, 1929-2015 SUBSCRIBE to the Fact of the Week When adjusted for inflation, the average annual price of gasoline has fluctuated greatly, and has recently experienced sharp increases and decreases. The effect of the U.S. embargo of oil from Iran can be seen in the early 1980's with the price of gasoline peaking in

  4. Time-averaged quantum dynamics and the validity of the effective...

    Office of Scientific and Technical Information (OSTI)

    We develop a technique for finding the dynamical evolution in time of an averaged density matrix. The result is an equation of evolution that includes an effective Hamiltonian, as ...

  5. U.S. Average Depth of Crude Oil, Natural Gas, and Dry Developmental...

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

    Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil, Natural Gas, and Dry Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3...

  6. U.S. Average Depth of Crude Oil Exploratory and Developmental...

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

    and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3...

  7. U.S. Average Depth of Natural Gas Exploratory and Developmental...

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

    and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Natural Gas Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3...

  8. U.S. Average Depth of Dry Holes Developmental Wells Drilled ...

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

    Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Dry Holes Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  9. U.S. Average Depth of Dry Holes Exploratory Wells Drilled (Feet...

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

    Exploratory Wells Drilled (Feet per Well) U.S. Average Depth of Dry Holes Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  10. U.S. Average Depth of Natural Gas Developmental Wells Drilled...

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

    Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Natural Gas Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  11. U.S. Average Depth of Natural Gas Exploratory Wells Drilled ...

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

    Wells Drilled (Feet per Well) U.S. Average Depth of Natural Gas Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  12. U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory...

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

    Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

  13. U.S. Average Depth of Crude Oil Exploratory Wells Drilled (Feet...

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

    Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil Exploratory Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  14. U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory...

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

    and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil, Natural Gas, and Dry Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0...

  15. U.S. Average Depth of Crude Oil Developmental Wells Drilled ...

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

    Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Crude Oil Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  16. U.S. Average Depth of Dry Exploratory and Developmental Wells...

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

    Exploratory and Developmental Wells Drilled (Feet per Well) U.S. Average Depth of Dry Exploratory and Developmental Wells Drilled (Feet per Well) Decade Year-0 Year-1 Year-2 Year-3...

  17. Variation in the annual average radon concentration measured in homes in Mesa County, Colorado

    SciTech Connect (OSTI)

    Rood, A.S.; George, J.L.; Langner, G.H. Jr.

    1990-04-01

    The purpose of this study is to examine the variability in the annual average indoor radon concentration. The TMC has been collecting annual average radon data for the past 5 years in 33 residential structures in Mesa County, Colorado. This report is an interim report that presents the data collected up to the present. Currently, the plans are to continue this study in the future. 62 refs., 3 figs., 12 tabs.

  18. "Table HC1.1.3 Housing Unit Characteristics by Average Floorspace--"

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

    3 Housing Unit Characteristics by Average Floorspace--" " Single-Family Housing Units and Mobile Homes, 2005" ,,"Single- Family and Mobile Homes (millions)","Average Square Feet per Housing Unit-- Single-Family and Mobile Homes" ," Housing Units (millions)" ,,,"Single-Family Detached",,,"Single-Family Attached",,,"Mobile Homes" "Housing Unit

  19. "Table HC1.2.3 Living Space Characteristics by Average Floorspace--"

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

    3 Living Space Characteristics by Average Floorspace--" " Single-Family Housing Units and Mobile Homes, 2005" ,,"Single- Family and Mobile Homes (millions)","Average Square Feet per Housing Unit" ," Housing Units (millions)" ,,,"Single-Family Detached",,,"Single-Family Attached",,,"Mobile Homes" "Housing Unit

  20. State Technologies Advancement Collaborative

    SciTech Connect (OSTI)

    David S. Terry

    2012-01-30

    The U. S. Department of Energy (DOE), National Association of State Energy Officials (NASEO), and Association of State Energy Research and Technology Transfer Institutions (ASERTTI) signed an intergovernmental agreement on November 14, 2002, that allowed states and territories and the Federal Government to better collaborate on energy research, development, demonstration and deployment (RDD&D) projects. The agreement established the State Technologies Advancement Collaborative (STAC) which allowed the states and DOE to move RDD&D forward using an innovative competitive project selection and funding process. A cooperative agreement between DOE and NASEO served as the contracting instrument for this innovative federal-state partnership obligating funds from DOE's Office of Energy Efficiency and Renewable Energy and Office of Fossil Energy to plan, fund, and implement RDD&D projects that were consistent with the common priorities of the states and DOE. DOE's Golden Field Office provided Federal oversight and guidance for the STAC cooperative agreement. The STAC program was built on the foundation of prior Federal-State efforts to collaborate on and engage in joint planning for RDD&D. Although STAC builds on existing, successful programs, it is important to note that it was not intended to replace other successful joint DOE/State initiatives such as the State Energy Program or EERE Special Projects. Overall the STAC process was used to fund, through three competitive solicitations, 35 successful multi-state research, development, deployment, and demonstration projects with an overall average non-federal cost share of 43%. Twenty-two states were awarded at least one prime contract, and organizations in all 50 states and some territories were involved as subcontractors in at least one STAC project. Projects were funded in seven program areas: (1) Building Technologies, (2) Industrial Technologies, (3) Transportation Technologies, (4) Distributed Energy Resources, (5) Hydrogen Technology Learning Centers, (6) Fossil Energy, and (7) Rebuild America.

  1. Improved volume-averaged model for steady and pulsed-power electronegative discharges

    SciTech Connect (OSTI)

    Kim, Sungjin; Lieberman, M. A.; Lichtenberg, A. J.; Gudmundsson, J. T.

    2006-11-15

    An improved volume-averaged global model is developed for a cylindrical (radius R, length L) electronegative (EN) plasma that is applicable over a wide range of electron densities, electronegativities, and pressures. It is applied to steady and pulsed-power oxygen discharges. The model incorporates effective volume and surface loss factors for positive ions, negative ions, and electrons combining three electronegative discharge regimes: a two-region regime with a parabolic EN core surrounded by an electropositive edge, a one-region parabolic EN plasma, and a one-region flat-topped EN plasma, spanning the plasma parameters and gas pressures of interest for low pressure processing (below a few hundred millitorr). Pressure-dependent effective volume and surface loss factors are also used for the neutral species. A set of reaction rate coefficients, updated from previous model calculations, is developed for oxygen for the species O{sub 2}, O{sub 2}({sup 1}{delta}{sub g}), O, O{sub 2}{sup +}, O{sup +}, and O{sup -}, based on the latest published cross-section sets and measurements. The model solutions yield all of the quantities above together with such important processing quantities such as the neutral/ion flux ratio {gamma}{sub O}/{gamma}{sub i}, with the discharge aspect ratio 2R/L and pulsed-power period and duty ratio (pulse on-time/pulse period) as parameters. The steady discharge results are compared to an experiment, giving good agreement. For steady discharges, increasing 2R/L from 1 to 6 leads to a factor of 0.45 reduction in {gamma}{sub O}/{gamma}{sub i}. For pulsed discharges with a fixed duty ratio, {gamma}{sub O}/{gamma}{sub i} is found to have a minimum with respect to pulse period. A 25% duty ratio pulse reduces {gamma}{sub O}/{gamma}{sub i} by a factor of 0.75 compared to the steady-state case.

  2. Natural Gas Processing Plants in the United States: 2010 Update...

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

    Natural Gas Processing Capacity (Million Cubic Feet per Day) Number of Natural Gas Plants Average Plant Capacity (Million Cubic Feet per Day) Change Between 2004 and 2009 State...

  3. Application of Maximum Likelihood Bayesian Model Averaging to Groundwater Flow and Transport at the Hanford Site 300 Area

    SciTech Connect (OSTI)

    Meyer, Philip D.; Ye, Ming; Neuman, Shlomo P.; Rockhold, Mark L.

    2008-06-01

    A methodology to systematically and quantitatively assess model predictive uncertainty was applied to saturated zone uranium transport at the 300 Area of the U.S. Department of Energy Hanford Site in Washington State, USA. The methodology extends Maximum Likelihood Bayesian Model Averaging (MLBMA) to account jointly for uncertainties due to the conceptual-mathematical basis of models, model parameters, and the scenarios to which the models are applied. Conceptual uncertainty was represented by postulating four alternative models of hydrogeology and uranium adsorption. Parameter uncertainties were represented by estimation covariances resulting from the joint calibration of each model to observed heads and uranium concentration. Posterior model probability was dominated by one model. Results demonstrated the role of model complexity and fidelity to observed system behavior in determining model probabilities, as well as the impact of prior information. Two scenarios representing alternative future behavior of the Columbia River adjacent to the site were considered. Predictive simulations carried out with the calibrated models illustrated the computation of model- and scenario-averaged predictions and how results can be displayed to clearly indicate the individual contributions to predictive uncertainty of the model, parameter, and scenario uncertainties. The application demonstrated the practicability of applying a comprehensive uncertainty assessment to large-scale, detailed groundwater flow and transport modelling.

  4. Average M shell fluorescence yields for elements with 70?Z?92

    SciTech Connect (OSTI)

    Kahoul, A.; Deghfel, B.; Aylikci, V.; Aylikci, N. K.; Nekkab, M.

    2015-03-30

    The theoretical, experimental and analytical methods for the calculation of average M-shell fluorescence yield (?{sup ¯}{sub M}) of different elements are very important because of the large number of their applications in various areas of physical chemistry and medical research. In this paper, the bulk of the average M-shell fluorescence yield measurements reported in the literature, covering the period 1955 to 2005 are interpolated by using an analytical function to deduce the empirical average M-shell fluorescence yield in the atomic range of 70?Z?92. The results were compared with the theoretical and fitted values reported by other authors. Reasonable agreement was typically obtained between our result and other works.

  5. Reconstruction of ionization probabilities from spatially averaged data in N dimensions

    SciTech Connect (OSTI)

    Strohaber, J.; Kolomenskii, A. A.; Schuessler, H. A.

    2010-07-15

    We present an analytical inversion technique, which can be used to recover ionization probabilities from spatially averaged data in an N-dimensional detection scheme. The solution is given as a power series in intensity. For this reason, we call this technique a multiphoton expansion (MPE). The MPE formalism was verified with an exactly solvable inversion problem in two dimensions, and probabilities in the postsaturation region, where the intensity-selective scanning approach breaks down, were recovered. In three dimensions, ionization probabilities of Xe were successfully recovered with MPE from simulated (using the Ammosov-Delone-Krainov tunneling theory) ion yields. Finally, we tested our approach with intensity-resolved benzene-ion yields, which show a resonant multiphoton ionization process. By applying MPE to this data (which were artificially averaged), the resonant structure was recovered, which suggests that the resonance in benzene may have been observed in spatially averaged data taken elsewhere.

  6. Origin of the failed ensemble average rule for the band gaps of disordered

    Office of Scientific and Technical Information (OSTI)

    nonisovalent semiconductor alloys (Journal Article) | DOE PAGES Origin of the failed ensemble average rule for the band gaps of disordered nonisovalent semiconductor alloys « Prev Next » Title: Origin of the failed ensemble average rule for the band gaps of disordered nonisovalent semiconductor alloys Authors: Ma, Jie ; Deng, Hui-Xiong ; Luo, Jun-Wei ; Wei, Su-Huai Publication Date: 2014-09-02 OSTI Identifier: 1180832 Grant/Contract Number: AC02-05CH11231; AC36-08GO28308 Type: Publisher's

  7. ,"U.S. Conventional, Average Refiner Gasoline Prices"

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

    Conventional, Average Refiner Gasoline Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Conventional, Average Refiner Gasoline Prices",6,"Monthly","12/2015","1/15/1994" ,"Release Date:","3/1/2016" ,"Next Release Date:","4/1/2016" ,"Excel

  8. ,"U.S. Reformulated, Average Refiner Gasoline Prices"

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

    Reformulated, Average Refiner Gasoline Prices" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Reformulated, Average Refiner Gasoline Prices",6,"Monthly","12/2015","1/15/1994" ,"Release Date:","3/1/2016" ,"Next Release Date:","4/1/2016" ,"Excel

  9. Table HC1.1.2 Housing Unit Characteristics by Average Floorspace, 2005

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

    2 Housing Unit Characteristics by Average Floorspace, 2005 " ,,"Average Square Feet per--" ," Housing Units (millions)" ,,"Housing Unit",,,"Household Member" "Housing Unit Characteristics",,"Total1","Heated","Cooled","Total","Heated","Cooled" "Total",111.1,2171,1618,1031,845,630,401 "Census Region and Division" "Northeast",20.6,2334,1664,562,911,649,220

  10. Table HC1.2.2 Living Space Characteristics by Average Floorspace

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

    2 Living Space Characteristics by Average Floorspace, " " Per Housing Unit and Per Household Member, 2005" ,,"Average Square Feet" ," Housing Units (millions)" ,,"Per Housing Unit",,,"Per Household Member" "Living Space Characteristics",,"Total1","Heated","Cooled","Total1","Heated","Cooled" "Total",111.1,2033,1618,1031,791,630,401 "Total Floorspace (Square

  11. Table HC1.2.4 Living Space Characteristics by Average Floorspace--Apartments, 2

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

    2.4 Living Space Characteristics by Average Floorspace--Apartments, 2005" ,,,"Average Square Feet per Apartment in a --" ," Housing Units (millions)" ,,,"2 to 4 Unit Building",,,"5 or More Unit Building" ,,"Apartments (millions)" "Living Space Characteristics",,,"Total","Heated","Cooled","Total","Heated","Cooled" "Total",111.1,24.5,1090,902,341,872,780,441

  12. Flowmeter for determining average rate of flow of liquid in a conduit

    Office of Scientific and Technical Information (OSTI)

    (Patent) | SciTech Connect Patent: Flowmeter for determining average rate of flow of liquid in a conduit Citation Details In-Document Search Title: Flowmeter for determining average rate of flow of liquid in a conduit × 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 additional information resources in energy

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

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

    Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","12/2015","1/15/1985" ,"Release Date:","2/29/2016" ,"Next Release

  14. Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4

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

    cents per kWh - Without New Dams | Department of Energy Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4 cents per kWh - Without New Dams Hydropower Upgrades to Yield Added Generation at Average Costs Less Than 4 cents per kWh - Without New Dams November 4, 2009 - 12:00am Addthis WASHINGTON, DC - U.S. Energy Secretary Steven Chu today announced up to $30.6 million in Recovery Act funding for the selection of seven hydropower projects that modernize hydropower

  15. Fact #803: November 11, 2013 Average Number of Transmission Gears is on the

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

    Rise | Department of Energy 3: November 11, 2013 Average Number of Transmission Gears is on the Rise Fact #803: November 11, 2013 Average Number of Transmission Gears is on the Rise The number of gears a transmission has affects a vehicle's fuel economy and performance. The more gears a vehicle has, the more time the engine spends within an optimal operating range while the vehicle speeds up and slows down. To achieve a better match between engine speed and wheel speed, manufacturers have

  16. Fact #851 December 15, 2014 The Average Number of Gears used in

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

    Transmissions Continues to Rise | Department of Energy 1 December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise Fact #851 December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise The number of gears in a transmission affects a vehicle's fuel economy and performance. The more gears a vehicle has, the more time the engine spends within an optimal operating range while the vehicle speeds up and slows down. To achieve a better match

  17. Builds in U.S. natural gas storage running above five-year average

    Gasoline and Diesel Fuel Update (EIA)

    Builds in U.S. natural gas storage running above five-year average The amount of natural gas put into underground storage since the beginning of the so-called "injection season" in April has been above the five-year average by a wide margin. In its new forecast, the U.S. Energy Information Administration said natural gas inventories, which are running more than 50% above year ago levels, are on track to reach almost 4 trillion cubic feet by the end of October which marks the start of

  18. Performance and production requirements for the optical components in a high-average-power laser system

    SciTech Connect (OSTI)

    Chow, R.; Doss, F.W.; Taylor, J.R.; Wong, J.N.

    1999-07-02

    Optical components needed for high-average-power lasers, such as those developed for Atomic Vapor Laser Isotope Separation (AVLIS), require high levels of performance and reliability. Over the past two decades, optical component requirements for this purpose have been optimized and performance and reliability have been demonstrated. Many of the optical components that are exposed to the high power laser light affect the quality of the beam as it is transported through the system. The specifications for these optics are described including a few parameters not previously reported and some component manufacturing and testing experience. Key words: High-average-power laser, coating efficiency, absorption, optical components

  19. Development of a high average current polarized electron source with long cathode operational lifetime

    SciTech Connect (OSTI)

    C. K. Sinclair; P. A. Adderley; B. M. Dunham; J. C. Hansknecht; P. Hartmann; M. Poelker; J. S. Price; P. M. Rutt; W. J. Schneider; M. Steigerwald

    2007-02-01

    Substantially more than half of the electromagnetic nuclear physics experiments conducted at the Continuous Electron Beam Accelerator Facility of the Thomas Jefferson National Accelerator Facility (Jefferson Laboratory) require highly polarized electron beams, often at high average current. Spin-polarized electrons are produced by photoemission from various GaAs-based semiconductor photocathodes, using circularly polarized laser light with photon energy slightly larger than the semiconductor band gap. The photocathodes are prepared by activation of the clean semiconductor surface to negative electron affinity using cesium and oxidation. Historically, in many laboratories worldwide, these photocathodes have had short operational lifetimes at high average current, and have often deteriorated fairly quickly in ultrahigh vacuum even without electron beam delivery. At Jefferson Lab, we have developed a polarized electron source in which the photocathodes degrade exceptionally slowly without electron emission, and in which ion back bombardment is the predominant mechanism limiting the operational lifetime of the cathodes during electron emission. We have reproducibly obtained cathode 1/e dark lifetimes over two years, and 1/e charge density and charge lifetimes during electron beam delivery of over 2?105???C/cm2 and 200 C, respectively. This source is able to support uninterrupted high average current polarized beam delivery to three experimental halls simultaneously for many months at a time. Many of the techniques we report here are directly applicable to the development of GaAs photoemission electron guns to deliver high average current, high brightness unpolarized beams.

  20. Fact #851 December 15, 2014 The Average Number of Gears used...

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

    Average Number of Gears in New Cars and Light Trucks Model Year Gears 1980 3.5 1981 3.5 1982 3.6 1983 3.7 1984 3.7 1985 3.8 1986 3.8 1987 3.9 1988 3.9 1989 3.9 1990 4.0 1991 4.0 ...

  1. Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems

    SciTech Connect (OSTI)

    Widen, Joakim; Waeckelgaard, Ewa; Paatero, Jukka; Lund, Peter

    2010-03-15

    The trend of increasing application of distributed generation with solar photovoltaics (PV-DG) suggests that a widespread integration in existing low-voltage (LV) grids is possible in the future. With massive integration in LV grids, a major concern is the possible negative impacts of excess power injection from on-site generation. For power-flow simulations of such grid impacts, an important consideration is the time resolution of demand and generation data. This paper investigates the impact of time averaging on high-resolution data series of domestic electricity demand and PV-DG output and on voltages in a simulated LV grid. Effects of 10-minutely and hourly averaging on descriptive statistics and duration curves were determined. Although time averaging has a considerable impact on statistical properties of the demand in individual households, the impact is smaller on aggregate demand, already smoothed from random coincidence, and on PV-DG output. Consequently, the statistical distribution of simulated grid voltages was also robust against time averaging. The overall judgement is that statistical investigation of voltage variations in the presence of PV-DG does not require higher resolution than hourly. (author)

  2. New Jersey Average Price of Natural Gas Delivered to Residential and

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

    Commercial Consumers by Local Distribution and Mark 2.03 12.98 12.38 10.30 9.08 7.85 1989-2015 Commercial Average Price 8.66 8.78 8.03 8.10 8.66 8.24

  3. District of Columbia Average Price of Natural Gas Delivered to Residential

    Gasoline and Diesel Fuel Update (EIA)

    and Commercial Consumers by Local Distributio 17.68 18.15 18.17 16.21 12.60 10.70 1989-2015 Commercial Average Price 11.15 11.17 11.50 11.68 11.28 10.01

  4. Ohio Average Price of Natural Gas Delivered to Residential and Commercial

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

    Consumers by Local Distribution and Marketers 23.83 25.46 24.31 15.36 9.68 7.40 1989-2015 Commercial Average Price 8.14 8.02 7.99 6.79 6.03 5.5

  5. Averaged Description of Flow (Steady and Transient) and Nonreactive Solute Transport in Random Porous Media

    SciTech Connect (OSTI)

    Schvidler, M.; Karasaki, K.

    2011-06-15

    In previous papers (Shvidler and Karasaki, 1999, 2001, 2005, and 2008) we presented and analyzed an approach for finding the general forms of exactly averaged equations of flow and transport in porous media. We studied systems of basic equations for steady flow with sources in unbounded domains with stochastically homogeneous conductivity fields. A brief analysis of exactly averaged equations of nonsteady flow and nonreactive solute transport was also presented. At the core of this approach is the existence of appropriate random Green's functions. For example, we showed that in the case of a 3-dimensional unbounded domain the existence of appropriate random Green's functions is sufficient for finding the exact nonlocal averaged equations for flow velocity using the operator with a unique kernel-vector. Examination of random fields with global symmetry (isotropy, transversal isotropy and orthotropy) makes it possible to describe significantly different types of averaged equations with nonlocal unique operators. It is evident that the existence of random Green's functions for physical linear processes is equivalent to assuming the existence of some linear random operators for appropriate stochastic equations. If we restricted ourselves to this assumption only, as we have done in this paper, we can study the processes in any dimensional bounded or unbounded fields and in addition, cases in which the random fields of conductivity and porosity are stochastically nonhomogeneous, nonglobally symmetrical, etc.. It is clear that examining more general cases involves significant difficulty and constricts the analysis of structural types for the processes being studied. Nevertheless, we show that we obtain the essential information regarding averaged equations for steady and transient flow, as well as for solute transport.

  6. Steady State Dense Gas Dispersion

    Energy Science and Technology Software Center (OSTI)

    1995-03-01

    SLAB-LLNL is a steady-state one-dimensional program which calculates the atmospheric dispersion of a heavier than air gas that is continuously released at ground level. The model is based on the steady-state crosswind-averaged conservation equations of species, mass, energy, and momentum. It uses the air entrainment concept to account for the turbulent mixing of the gas cloud with the surrounding atmosphere and similarity profiles to determine the crosswind dependence.

  7. HIGH AVERAGE CURRENT LOW EMITTANCE BEAM EMPLOYING CW NORMAL CONDUCTING GUN.

    SciTech Connect (OSTI)

    CHANG,X.; BEN-ZVI, I.; KEWISCH, J.; PAI, C.

    2007-06-25

    CW normal conducting guns usually do not achieve very high field gradient and waste much RF power at high field gradient compared to superconducting cavities. But they have less trapped modes and wakefields compared to the superconducting cavities due to their low Q. The external bucking coil can also be applied very close to the cathode to improve the beam quality. By using a low frequency gun with a recessed cathode and a carefully designed beam line we can get a high average current and a high quality beam with acceptable RF power loss on the cavity wall. This paper shows that the CW normal conducting gun can be a backup solution for those projects which need high peak and average current, low emittance electron beams such as the Relativistic Heavy Ion Collider (RHIC) e-cooling project and Energy Recovery Linac (Em) project.

  8. Gatling gun: high average polarized current injector for eRHIC

    SciTech Connect (OSTI)

    Litvinenko, V.N.

    2010-01-01

    This idea was originally developed in 2001 for, at that time, an ERL-based (and later recirculating-ring) electron-ion collider at JLab. Naturally the same idea is applicable for any gun requiring current exceeding capability of a single cathode. ERL-based eRHIC is one of such cases. This note related to eRHIC was prepared at Duke University in February 2003. In many case photo-injectors can have a limited average current - it is especially true about polarized photo-guns. It is know that e-RHIC requires average polarized electron current well above currently demonstrated by photo-injectors - hence combining currents from multiple guns is can be useful option for eRHIC.

  9. Coupling of an average-atom model with a collisional-radiative equilibrium model

    SciTech Connect (OSTI)

    Faussurier, G. Blancard, C.; Cossé, P.

    2014-11-15

    We present a method to combine a collisional-radiative equilibrium model and an average-atom model to calculate bound and free electron wavefunctions in hot dense plasmas by taking into account screening. This approach allows us to calculate electrical resistivity and thermal conductivity as well as pressure in non local thermodynamic equilibrium plasmas. Illustrations of the method are presented for dilute titanium plasma.

  10. "Table A49. Average Prices of Purchased Electricity, Steam, and Natural Gas"

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

    9. Average Prices of Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam",," Natural Gas" ," (Million kWh)",," (Billion Btu)",," (1000 cu ft)"

  11. "Table E8.2. Average Prices of Selected Purchased Energy Sources, 1998;"

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

    2. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate",,"LPG and",,"Row"

  12. Table 7.1 Average Prices of Purchased Energy Sources, 2002

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

    Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Physical Units." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components"

  13. Table 7.2 Average Prices of Purchased Energy Sources, 2002

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

    2 Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; " " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components"

  14. Table 7.2 Average Prices of Purchased Energy Sources, 2010;

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

    Table 7.2 Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam

  15. Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 20

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

    3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: U.S. Dollars per Physical Units." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " ","

  16. Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010;

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

    3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: U.S. Dollars per Physical Units. Electricity Components Natural Gas Components Steam Components Electricity Natural Gas Steam Electricity from Sources Natural Gas from Sources Steam from Sources Electricity from Local Other than Natural Gas from Local Other than Steam from Local Other than

  17. Table N8.2. Average Prices of Purchased Energy Sources, 1998

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

    2. Average Prices of Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected","Wood and Other","Biomass","Components" ,,,,,,,"Coal Components",,,"Coke",,"Electricity","Components",,,,,,,,,,,,,"Natural

  18. Table N8.3. Average Prices of Purchased Electricity, Natural Gas, and Steam,

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

    3. Average Prices of Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: U.S. Dollars per Physical Units." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " ","

  19. Effect of vitrification temperature upon the solar average absorptance properties of Pyromark Series 2500 black paint

    SciTech Connect (OSTI)

    Nelson, C.; Mahoney, A.R.

    1986-06-01

    A significant drop in production efficiency has occurred over time at the Solar One facility at Barstow, California, primarily as a result of the degradation of the Pyromark Series 2500 black paint used as the absorptive coating on the receiver panels. As part of the investigation of the problem, the solar-averaged adsorptance properties of the paint were determined as a function of vitrification temperature, since it is known that a significant amount of the panel surface area at Solar One was vitrified at temperatures below those recommended by the paint manufacturer (540/sup 0/C, 1000/sup 0/F). Painted samples initially vitrified at 230/sup 0/C (450/sup 0/F), 315/sup 0/C (600/sup 0/F), 371/sup 0/C (700/sup 0/F), and 480/sup 0/C (900/sup 0/F) exhibited significantly lower solar-averaged absorptance values (0.02 absorptance units) compared to samples vitrified at 540/sup 0/C (1000/sup 0/F). Thus, Solar One began its service life below optimal levels. After 140 h of thermal aging at 370/sup 0/C (700/sup 0/F) and 540/sup 0/C (1000/sup 0/F), all samples regardless of their initial vitrification temperatures, attained the same solar-averaged absorptance value (..cap alpha../sub s/ = 0.973). Therefore, both the long-term low-temperature vitrification and the short-term high-temperature vitrification can be used to obtain optimal or near-optimal absorptance of solar flux. Futher thermal aging of vitrified samples did not result in paint degradation, clearly indicating that high solar flux is required to produce this phenomenon. The panels at Solar One never achieved optimal absorptance because their exposure to high solar flux negated the effect of long-term low-temperature vitrification during operation. On future central receiver projects, every effort should be made to properly vitrify the Pyromark coating before its exposure to high flux conditions.

  20. Properties of a new average power Nd-doped phosphate laser glass

    SciTech Connect (OSTI)

    Payne, S.A.; Marshall, C.D.; Bayramian, A.J.; Wilke, G.D.; Hayden, J.S.

    1995-03-09

    The Nd-doped phosphate laser glass described herein can withstand 2.3 times greater thermal loading without fracture, compared to APG-1 (commercially-available average-power glass from Schott Glass Technologies). The enhanced thermal loading capability is established on the basis of the intrinsic thermomechanical properties and by direct thermally-induced fracture experiments using Ar-ion laser heating of the samples. This Nd-doped phosphate glass (referred to as APG-t) is found to be characterized by a 29% lower gain cross section and a 25% longer low-concentration emission lifetime.

  1. Laser properties of an improved average-power Nd-doped phosphate glass

    SciTech Connect (OSTI)

    Payne, S.A.; Marshall, C.D.; Bayramian, A.J.

    1995-03-15

    The Nd-doped phosphate laser glass described herein can withstand 2.3 times greater thermal loading without fracture, compared to APG-1 (commercially-available average-power glass from Schott Glass Technologies). The enhanced thermal loading capability is established on the basis of the intrinsic thermomechanical properties (expansion, conduction, fracture toughness, and Young`s modulus), and by direct thermally-induced fracture experiments using Ar-ion laser heating of the samples. This Nd-doped phosphate glass (referred to as APG-t) is found to be characterized by a 29% lower gain cross section and a 25% longer low-concentration emission lifetime.

  2. High Average Power Laser Gain Medium With Low Optical Distortion Using A Transverse Flowing Liquid Host

    DOE Patents [OSTI]

    Comaskey, Brian J.; Ault, Earl R.; Kuklo, Thomas C.

    2005-07-05

    A high average power, low optical distortion laser gain media is based on a flowing liquid media. A diode laser pumping device with tailored irradiance excites the laser active atom, ion or molecule within the liquid media. A laser active component of the liquid media exhibits energy storage times longer than or comparable to the thermal optical response time of the liquid. A circulation system that provides a closed loop for mixing and circulating the lasing liquid into and out of the optical cavity includes a pump, a diffuser, and a heat exchanger. A liquid flow gain cell includes flow straighteners and flow channel compression.

  3. U.S. Natural Gas Average Consumption per Commercial Consumer (Thousand

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Commercial Consumer (Thousand Cubic Feet) U.S. Natural Gas Average Consumption per Commercial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 637 665 699 1970's 737 751 777 779 734 730 789 745 784 811 1980's 739 693 696 625 672 634 587 606 647 652 1990's 619 626 636 641 639 654 669 675 595 608 2000's 635 605 621 617 609 577 537 568 579 586 2010's 585 593 540 613 640 - = No Data Reported; -- = Not Applicable; NA =

  4. "Table E8.1. Average Prices of Selected Purchased Energy Sources, 1998;"

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

    1. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate",,"LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel

  5. Method and system for modulation of gain suppression in high average power laser systems

    DOE Patents [OSTI]

    Bayramian, Andrew James (Manteca, CA)

    2012-07-31

    A high average power laser system with modulated gain suppression includes an input aperture associated with a first laser beam extraction path and an output aperture associated with the first laser beam extraction path. The system also includes a pinhole creation laser having an optical output directed along a pinhole creation path and an absorbing material positioned along both the first laser beam extraction path and the pinhole creation path. The system further includes a mechanism operable to translate the absorbing material in a direction crossing the first laser beam extraction laser path and a controller operable to modulate the second laser beam.

  6. Table 7.4 Average Prices of Selected Purchased Energy Sources, 2002

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

    4 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate","Natural ","LPG and",,"RSE" "Economic","Electricity","Fuel

  7. Table 7.5 Average Prices of Selected Purchased Energy Sources, 2002

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

    5 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate","Natural ","LPG and",,"Row"

  8. Specification of optical components for a high average-power laser environment

    SciTech Connect (OSTI)

    Taylor, J.R.; Chow, R.; Rinmdahl, K.A.; Willis, J.B.; Wong, J.N.

    1997-06-25

    Optical component specifications for the high-average-power lasers and transport system used in the Atomic Vapor Laser Isotope Separation (AVLIS) plant must address demanding system performance requirements. The need for high performance optics has to be balanced against the practical desire to reduce the supply risks of cost and schedule. This is addressed in optical system design, careful planning with the optical industry, demonstration of plant quality parts, qualification of optical suppliers and processes, comprehensive procedures for evaluation and test, and a plan for corrective action.

  9. "2014 Total Electric Industry- Average Retail Price (cents/kWh...

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

    and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",17.822291,14.699138,11.842263,10.37511,15.452998 "Connecticut",19.748254,15.5...

  10. U.S. Natural Gas Average Consumption per Industrial Consumer (Thousand

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Industrial Consumer (Thousand Cubic Feet) U.S. Natural Gas Average Consumption per Industrial Consumer (Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 0 0 0 0 0 0 1980's 39,245 37,530 30,909 29,915 24,309 30,956 29,057 30,423 32,071 30,248 1990's 32,144 33,395 35,908 38,067 40,244 40,973 43,050 36,239 36,785 35,384 2000's 36,968 33,840 36,458 34,793 34,645 31,991 33,597 33,561 29,639 29,705 2010's 35,418 36,947 38,159

  11. Table 10. Average Price of U.S. Steam Coal Exports

    Gasoline and Diesel Fuel Update (EIA)

    0. Average Price of U.S. Steam Coal Exports (dollars per short ton) Year to Date Continent and Country of Destination July - September 2015 April - June 2015 July - September 2014 2015 2014 Percent Change North America Total 66.77 71.02 69.75 69.74 65.78 6.0 Canada* 58.57 69.55 74.38 67.41 55.21 22.1 Dominican Republic 77.11 78.67 56.46 84.15 55.63 51.3 Guatemala 34.59 103.41 - 45.24 81.92 -44.8 Honduras - - 54.43 54.43 54.43 s Jamaica 80.74 90.72 55.34 73.19 54.88 33.4 Mexico 70.80 70.39 69.53

  12. Table 12. Average Price of U.S. Metallurgical Coal Exports

    Gasoline and Diesel Fuel Update (EIA)

    2. Average Price of U.S. Metallurgical Coal Exports (dollars per short ton) Year to Date Continent and Country of Destination July - September 2015 April - June 2015 July - September 2014 2015 2014 Percent Change North America Total 96.66 97.73 85.77 96.57 86.97 11.0 Canada* 99.34 98.87 87.96 97.75 89.46 9.3 Dominican Republic - - - - 50.86 - Honduras 45.36 45.36 - 45.36 - - Mexico 97.65 103.74 80.50 103.16 86.56 19.2 Other** 112.84 89.81 - 89.84 - - South America Total 81.91 93.21 98.38 90.63

  13. Average Neutron Total Cross Sections in the Unresolved Energy Range From ORELA High Resolutio Transmission Measurements

    SciTech Connect (OSTI)

    Derrien, H

    2004-05-27

    Average values of the neutron total cross sections of {sup 233}U, {sup 235}U, {sup 238}U, and {sup 239}Pu have been obtained in the unresolved resonance energy range from high-resolution transmission measurements performed at ORELA in the past two decades. The cross sections were generated by correcting the effective total cross sections for the self-shielding effects due to the resonance structure of the data. The self-shielding factors were found by calculating the effective and true cross sections with the computer code SAMMY for the same Doppler and resolution conditions as for the transmission measurements, using an appropriate set of resonance parameters. Our results are compared to results of previous measurements and to the current ENDF/B-VI data.

  14. Angular Averaged Profiling of the Radial Electric Field in Compensated FTICR Cells

    SciTech Connect (OSTI)

    Tolmachev, Aleksey V.; Robinson, Errol W.; Wu, Si; Smith, Richard D.; Futrell, Jean H.; Pasa-Tolic, Ljiljana

    2012-05-08

    A recent publication from this laboratory (1) reported a theoretical analysis comparing approaches for creating harmonic ICR cells. We considered two examples of static segmented cells - namely, a seven segment cell developed in this laboratory (2) and one described by Rempel et al (3), along with a recently described dynamically harmonized cell (4). This conceptual design for a dynamically harmonized cell has now been reduced to practice and first experimental results obtained with this cell were recently reported in this journal (5). This publication reports details of cell construction and describes its performance in a 7 Tesla Fourier Transform mass spectrometer. Herein, we describe the extension of theoretical analysis presented in (1) to include angular-averaged radial electric field calculations and a discussion of the influence of trapping plates.

  15. Measurement of average density and relative volumes in a dispersed two-phase fluid

    DOE Patents [OSTI]

    Sreepada, Sastry R. (Clifton Park, NY); Rippel, Robert R. (late of Scotia, NY)

    1992-01-01

    An apparatus and a method are disclosed for measuring the average density and relative volumes in an essentially transparent, dispersed two-phase fluid. A laser beam with a diameter no greater than 1% of the diameter of the bubbles, droplets, or particles of the dispersed phase is directed onto a diffraction grating. A single-order component of the diffracted beam is directed through the two-phase fluid and its refraction is measured. Preferably, the refracted beam exiting the fluid is incident upon a optical filter with linearly varing optical density and the intensity of the filtered beam is measured. The invention can be combined with other laser-based measurement systems, e.g., laser doppler anemometry.

  16. Medium term municipal solid waste generation prediction by autoregressive integrated moving average

    SciTech Connect (OSTI)

    Younes, Mohammad K.; Nopiah, Z. M.; Basri, Noor Ezlin A.; Basri, Hassan

    2014-09-12

    Generally, solid waste handling and management are performed by municipality or local authority. In most of developing countries, local authorities suffer from serious solid waste management (SWM) problems and insufficient data and strategic planning. Thus it is important to develop robust solid waste generation forecasting model. It helps to proper manage the generated solid waste and to develop future plan based on relatively accurate figures. In Malaysia, solid waste generation rate increases rapidly due to the population growth and new consumption trends that characterize the modern life style. This paper aims to develop monthly solid waste forecasting model using Autoregressive Integrated Moving Average (ARIMA), such model is applicable even though there is lack of data and will help the municipality properly establish the annual service plan. The results show that ARIMA (6,1,0) model predicts monthly municipal solid waste generation with root mean square error equals to 0.0952 and the model forecast residuals are within accepted 95% confident interval.

  17. Flowmeter for determining average rate of flow of liquid in a conduit

    DOE Patents [OSTI]

    Kennerly, John M. (Knoxville, TN); Lindner, Gordon M. (Oak Ridge, TN); Rowe, John C. (Oak Ridge, TN)

    1982-01-01

    This invention is a compact, precise, and relatively simple device for use in determining the average rate of flow of a liquid through a conduit. The liquid may be turbulent and contain bubbles of gas. In a preferred embodiment, the flowmeter includes an electrical circuit and a flow vessel which is connected as a segment of the conduit conveying the liquid. The vessel is provided with a valved outlet and is partitioned by a vertical baffle into coaxial chambers whose upper regions are vented to permit the escape of gas. The inner chamber receives turbulent downflowing liquid from the conduit and is sized to operate at a lower pressure than the conduit, thus promoting evolution of gas from the liquid. Lower zones of the two chambers are interconnected so that the downflowing liquid establishes liquid levels in both chambers. The liquid level in the outer chamber is comparatively calm, being to a large extent isolated from the turbulence in the inner chamber once the liquid in the outer chamber has risen above the liquid-introduction zone for that chamber. Lower and upper probes are provided in the outer chamber for sensing the liquid level therein at points above its liquid-introduction zone. An electrical circuit is connected to the probes to display the time required for the liquid level in the outer chamber to successively contact the lower and upper probes. The average rate of flow through the conduit can be determined from the above-mentioned time and the vessel volume filled by the liquid during that time.

  18. Flowmeter for determining average rate of flow of liquid in a conduit

    DOE Patents [OSTI]

    Kennerly, J.M.; Lindner, G.M.; Rowe, J.C.

    1981-04-30

    This invention is a compact, precise, and relatively simple device for use in determining the average rate of flow of a liquid through a conduit. The liquid may be turbulent and contain bubbles of gas. In a preferred embodiment, the flowmeter includes an electrical circuit and a flow vessel which is connected as a segment of the conduit conveying the liquid. The vessel is provided with a valved outlet and is partitioned by a vertical baffle into coaxial chambers whose upper regions are vented to permit the escape of gas. The inner chamber receives turbulent downflowing liquid from the conduit and is sized to operate at a lower pressure than the conduit, thus promoting evolution of gas from the liquid. Lower zones of the two chambers are interconnected so that the downflowing liquid establishes liquid levels in both chambers. The liquid level in the outer chamber is comparatively calm, being to a large extent isolated from the turbulence in the inner chamber once the liquid in the outer chamber has risen above the liquid-introduction zone for that chamber. Lower and upper probes are provided in the outer chamber for sensing the liquid level therein at points above its liquid-introduction zone. An electrical circuit is connected to the probes to display the time required for the liquid level in the outer chamber to successively contact the lower and upper probes. The average rate of flow through the conduit can be determined from the above-mentioned time and the vessel volume filled by the liquid during that time.

  19. State Overview

    Office of Environmental Management (EM)

    Natural Gas: 1,710 Bcf (7% total U.S.) Crude Oil: 49,300 Mbarrels (2% total U.S.) Ethanol: 2,900 Mbarrels (1% total U.S.) COLORADO STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  20. State Overview

    Office of Environmental Management (EM)

    U.S.) Natural Gas: 220 Bcf (1% total U.S.) Crude Oil: 9,500 Mbarrels (<1% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) ALABAMA STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  1. State Overview

    Office of Environmental Management (EM)

    U.S.) Natural Gas: 350 Bcf (1% total U.S.) Crude Oil: 192,400 Mbarrels (8% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) ALASKA STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  2. State Overview

    Office of Environmental Management (EM)

    U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 3,000 Mbarrels (<1% total U.S.) Ethanol: 43,400 Mbarrels (14% total U.S.) NEBRASKA STATE FACTS NATURAL HAZARDS OVERVIEW...

  3. State Overview

    Office of Environmental Management (EM)

    Natural Gas: 2,960 Bcf (12% total U.S.) Crude Oil: 70,700 Mbarrels (3% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) LOUISIANA STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  4. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 1,700 Mbarrels (1% total U.S.) GEORGIA STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  5. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) MAINE STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  6. State Overview

    Office of Environmental Management (EM)

    Natural Gas: 180 Bcf (1% total U.S.) Crude Oil: 242,500 Mbarrels (10% total U.S.) Ethanol: 8,700 Mbarrels (3% total U.S.) NORTH DAKOTA STATE FACTS NATURAL HAZARDS OVERVIEW...

  7. State Overview

    Office of Environmental Management (EM)

    U.S.) Natural Gas: 130 Bcf (1% total U.S.) Crude Oil: 7,400 Mbarrels (<1% total U.S.) Ethanol: 6,200 Mbarrels (2% total U.S.) MICHIGAN STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  8. State Overview

    Office of Environmental Management (EM)

    U.S.) Natural Gas: 70 Bcf (<1% total U.S.) Crude Oil: 26,500 Mbarrels (1% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) MONTANA STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  9. State Overview

    Office of Environmental Management (EM)

    U.S.) Natural Gas: 110 Bcf (<1% total U.S.) Crude Oil: 3,200 Mbarrels (<1% total U.S.) Ethanol: 800 Mbarrels (<1% total U.S.) KENTUCKY STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  10. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) NORTH CAROLINA STATE FACTS NATURAL HAZARDS OVERVIEW...

  11. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) RHODE ISLAND STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  12. State Overview

    Office of Environmental Management (EM)

    U.S.) Natural Gas: 20 Bcf (<1% total U.S.) Crude Oil: 2,100 Mbarrels (<1% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) FLORIDA STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  13. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) HAWAII STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  14. State Overview

    Office of Environmental Management (EM)

    U.S.) Natural Gas: 250 Bcf (1% total U.S.) Crude Oil: 197,200 Mbarrels (8% total U.S.) Ethanol: 4,200 Mbarrels (1% total U.S.) CALIFORNIA STATE FACTS NATURAL HAZARDS OVERVIEW...

  15. State Overview

    Office of Environmental Management (EM)

    U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 200 Mbarrels (<1% total U.S.) Ethanol: 5,900 Mbarrels (2% total U.S.) MISSOURI STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  16. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 1,200 Mbarrels (<1% total U.S.) IDAHO STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  17. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) NEW JERSEY STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  18. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 82,600 Mbarrels (26% total U.S.) IOWA STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  19. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) DELAWARE STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  20. State Overview

    Office of Environmental Management (EM)

    total U.S.) Natural Gas: 0 Bcf (0% total U.S.) Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) MARYLAND STATE FACTS NATURAL HAZARDS OVERVIEW Annual...

  1. State Overview

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

    Crude Oil: 85,200 Mbarrels (4% total U.S.) Ethanol: 600 Mbarrels (<1% total U.S.) NEW MEXICO STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards...

  2. State Overview

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

    Oil: 2,400 Mbarrels (<1% total U.S.) Ethanol: 22,400 Mbarrels (7% total U.S.) INDIANA STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  3. State Overview

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

    Oil: 0 Mbarrels (0% total U.S.) Ethanol: 11,700 Mbarrels (4% total U.S.) WISCONSIN STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  4. State Overview

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

    Oil: 400 Mbarrels (<1% total U.S.) Ethanol: 5,200 Mbarrels (2% total U.S.) TENNESSEE STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  5. State Overview

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

    Oil: 400 Mbarrels (<1% total U.S.) Ethanol: 3,800 Mbarrels (1% total U.S.) NEW YORK STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  6. State Overview

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

    Oil: 100 Mbarrels (<1% total U.S.) Ethanol: 1,000 Mbarrels (<1% total U.S.) ARIZONA STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  7. State Overview

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

    Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) SOUTH CAROLINA STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  8. State Overview

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

    Crude Oil: 89,300 Mbarrels (4% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) OKLAHOMA STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  9. State Overview

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

    Oil: 4,900 Mbarrels (<1% total U.S.) Ethanol: 10,400 Mbarrels (3% total U.S.) OHIO STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  10. State Overview

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

    Crude Oil: 30,300 Mbarrels (1% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) UTAH STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  11. State Overview

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

    Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) VIRGINIA STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  12. State Overview

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

    Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) MASSACHUSETTS STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  13. State Overview

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

    Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) WASHINGTON STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  14. State Overview

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

    24,200 Mbarrels (1% total U.S.) Ethanol: 1,000 Mbarrels (<1% total U.S.) MISSISSIPPI STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  15. State Overview

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

    Oil: 8,900 Mbarrels (<1% total U.S.) Ethanol: 30,300 Mbarrels (10% total U.S.) ILLINOIS STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  16. State Overview

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

    Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) CONNECTICUT STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  17. State Overview

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

    Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) NEW HAMPSHIRE STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  18. State Overview

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

    Oil: 2,600 Mbarrels (<1% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) WEST VIRGINIA STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  19. State Overview

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

    Crude Oil: 6,500 Mbarrels (<1% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) ARKANSAS STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  20. State Overview

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

    Oil: 0 Mbarrels (0% total U.S.) Ethanol: 25,200 Mbarrels (8% total U.S.) MINNESOTA STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  1. State Overview

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

    Oil: 725,800 Mbarrels (31% total U.S.) Ethanol: 8,100 Mbarrels (3% total U.S.) TEXAS STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  2. State Overview

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

    Crude Oil: 400 Mbarrels (<1% total U.S.) Ethanol: 0 Mbarrels (0% total U.S.) NEVADA STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  3. State Overview

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

    4,300 Mbarrels (<1% total U.S.) Ethanol: 2,500 Mbarrels (1% total U.S.) PENNSYLVANIA STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  4. State Overview

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

    Crude Oil: 0 Mbarrels (0% total U.S.) Ethanol: 900 Mbarrels (<1% total U.S.) OREGON STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  5. State Overview

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

    Oil: 57,800 Mbarrels (2% total U.S.) Ethanol: 300 Mbarrels (<1% total U.S.) WYOMING STATE FACTS NATURAL HAZARDS OVERVIEW Annual Frequency of Occurrence of Natural Hazards in...

  6. Averages of B-Hadron, C-Hadron, and tau-lepton properties as of early 2012

    SciTech Connect (OSTI)

    Amhis, Y.; et al.

    2012-07-01

    This article reports world averages of measurements of b-hadron, c-hadron, and tau-lepton properties obtained by the Heavy Flavor Averaging Group (HFAG) using results available through the end of 2011. In some cases results available in the early part of 2012 are included. For the averaging, common input parameters used in the various analyses are adjusted (rescaled) to common values, and known correlations are taken into account. The averages include branching fractions, lifetimes, neutral meson mixing parameters, CP violation parameters, parameters of semileptonic decays and CKM matrix elements.

  7. Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #851: December 15, 2014 The Average Number of Gears used in Transmissions Continues to Rise

  8. U.S. gasoline price expected to average less than $2 a gallon both this year and next

    Gasoline and Diesel Fuel Update (EIA)

    U.S. gasoline price expected to average less than $2 a gallon both this year and next U.S. drivers are now expected to see back-to-back years of annual average gasoline prices below $2 per gallon for the first time in more than a decade. In its latest monthly forecast, the U.S. Energy Information Administration said low oil prices will keep the average annual price for a gallon of regular-grade gasoline at $1.89 this year and at $1.97 in 2017. The last time gasoline averaged less than $2 for two

  9. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    United States" "Sector", 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994, 1993, 1992, 1991, 1990,"Percent share 2000","Percent share 2010","Percent share 2013" "Retail sales (megawatthours)"

  10. 2014 Total Electric Industry- Average Retail Price (cents/kWh...

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

    4A-D, EIA-861S and EIA-861U) State Residential Commercial Industrial Transportation Total New England 17.82 14.70 11.84 10.38 15.45 Connecticut 19.75 15.55 12.92 13.08 17.05 Maine...

  11. United States

    Office of Legacy Management (LM)

    Office of Research and EPA 600/R-941209 Environmental Protection Development January 1993 Agency Washington, DC 20460 Offsite Environmental 57,,7 Monitoring Report Radiation Monitoring Around United States Nuclear Test Areas, Calendar Year 1992 UNITED STATES ENVIRONMENTAL PROTECTION AGENCY OFFICE OF RESEARCH AND DEVELOPMENT ENVIRONMENTAL MONITORING SYSTEMS LABORATORY-LAS VEGAS P.O. BOX 93478 LAS VEGAS. NEVADA 891 93-3478 702/798-2100 Dear Reader: Since 1954, the U.S. Environmental Protection

  12. Comparison of Two Gas Selection Methodologies: An Application of Bayesian Model Averaging

    SciTech Connect (OSTI)

    Renholds, Andrea S.; Thompson, Sandra E.; Anderson, Kevin K.; Chilton, Lawrence K.

    2006-03-31

    One goal of hyperspectral imagery analysis is the detection and characterization of plumes. Characterization includes identifying the gases in the plumes, which is a model selection problem. Two gas selection methods compared in this report are Bayesian model averaging (BMA) and minimum Akaike information criterion (AIC) stepwise regression (SR). Simulated spectral data from a three-layer radiance transfer model were used to compare the two methods. Test gases were chosen to span the types of spectra observed, which exhibit peaks ranging from broad to sharp. The size and complexity of the search libraries were varied. Background materials were chosen to either replicate a remote area of eastern Washington or feature many common background materials. For many cases, BMA and SR performed the detection task comparably in terms of the receiver operating characteristic curves. For some gases, BMA performed better than SR when the size and complexity of the search library increased. This is encouraging because we expect improved BMA performance upon incorporation of prior information on background materials and gases.

  13. Twist-averaged boundary conditions for nuclear pasta Hartree-Fock calculations

    SciTech Connect (OSTI)

    Schuetrumpf, B.; Nazarewicz, W.

    2015-10-21

    Nuclear pasta phases, present in the inner crust of neutron stars, are associated with nucleonic matter at subsaturation densities arranged in regular shapes. Those complex phases, residing in a layer which is approximately 100-m thick, impact many features of neutron stars. Theoretical quantum-mechanical simulations of nuclear pasta are usually carried out in finite three-dimensional boxes assuming periodic boundary conditions. The resulting solutions are affected by spurious finite-size effects. To remove spurious finite-size effects, it is convenient to employ twist-averaged boundary conditions (TABC) used in condensed matter, nuclear matter, and lattice quantum chromodynamics applications. In this work, we study the effectiveness of TABC in the context of pasta phase simulations within nuclear density functional theory. We demonstrated that by applying TABC reliable results can be obtained from calculations performed in relatively small volumes. By studying various contributions to the total energy, we gain insights into pasta phases in mid-density range. Future applications will include the TABC extension of the adaptive multiresolution 3D Hartree-Fock solver and Hartree-Fock-Bogoliubov TABC applications to superfluid pasta phases and complex nucleonic topologies as in fission.

  14. Dynamical interpretation of average fission-fragment kinetic energy systematics and nuclear scission

    SciTech Connect (OSTI)

    Nadtochy, P.N. [GSI, Plankstrasse 1, D-64291 Darmstadt (Germany); Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation); Adeev, G.D. [Omsk State University, Department of Theoretical Physics, Mira Prospect 55-A, RU-644077 Omsk (Russian Federation)

    2005-11-01

    A dynamical interpretation of the well-known systematics for average total kinetic energy of fission fragments over a wide range of the Coulomb parameter (600 on the Coulomb parameter. The results of dynamical calculations of within three-dimensional Langevin dynamics show that the mean distance between the centers of mass of nascent fragments at the scission configuration increases linearly with the parameter Z{sup 2}/A{sup 1/3}. This distance changes approximately from 2.35R{sub 0} for {sup 119}Xe to 2.6R{sub 0} for {sup 256}Fm. In spite of this increase in mean distance between future fragments at scission, the linear dependence of on the parameter Z{sup 2}/A{sup 1/3} remains approximately valid over a wide range of the Coulomb parameter Z{sup 2}/A{sup 1/3}.

  15. Cylinder-averaged histories of nitrogen oxide in a D.I. diesel with simulated turbocharging

    SciTech Connect (OSTI)

    Donahue, R.J.; Borman, G.L.; Bower, G.R.

    1994-10-20

    An experimental study was conducted using the dumping technique (total cylinder sampling) to produce cylinder mass-averaged nitric oxide histories. Data were taken using a four stroke diesel research engine employing a quiescent chamber, high pressure direct ijection fuel system, and simulated turbocharging. Two fuels were used to determine fuel cetane number effects. Two loads were run, one at an equivalence ratio of 0.5 and the other at a ratio of 0.3. The engine speed was held constant at 1500 rpm. Under the turbocharged and retarded timing conditions of this study, nitric oxide was produced up to the point of about 85% mass burned. Two different models were used to simulate the engine mn conditions: the phenomenological Hiroyasu spray-combustion model, and the three dimensional, U.W.-ERO modified KIVA-lI computational fluid dynamic code. Both of the models predicted the correct nitric oxide trend. Although the modified KIVA-lI combustion model using Zeldovich kinetics correctly predicted the shapes of the nitric oxide histories, it did not predict the exhaust concentrations without arbitrary adjustment based on experimental values.

  16. Twist-averaged boundary conditions for nuclear pasta Hartree-Fock calculations

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Schuetrumpf, B.; Nazarewicz, W.

    2015-10-21

    Nuclear pasta phases, present in the inner crust of neutron stars, are associated with nucleonic matter at subsaturation densities arranged in regular shapes. Those complex phases, residing in a layer which is approximately 100-m thick, impact many features of neutron stars. Theoretical quantum-mechanical simulations of nuclear pasta are usually carried out in finite three-dimensional boxes assuming periodic boundary conditions. The resulting solutions are affected by spurious finite-size effects. To remove spurious finite-size effects, it is convenient to employ twist-averaged boundary conditions (TABC) used in condensed matter, nuclear matter, and lattice quantum chromodynamics applications. In this work, we study the effectivenessmore » of TABC in the context of pasta phase simulations within nuclear density functional theory. We demonstrated that by applying TABC reliable results can be obtained from calculations performed in relatively small volumes. By studying various contributions to the total energy, we gain insights into pasta phases in mid-density range. Future applications will include the TABC extension of the adaptive multiresolution 3D Hartree-Fock solver and Hartree-Fock-Bogoliubov TABC applications to superfluid pasta phases and complex nucleonic topologies as in fission.« less

  17. United States

    Office of Legacy Management (LM)

    ongrees;ional Record United States of America __._ -.. I. :- PROCEEDINGS AND DEBATES OF THE 9tth CONGRESS, FIRST SESSION United States Government Printing Office SUPERINTENDENT OF DOCUMENTS Washmcqton. Cl C 20402 OFFICIAL BUSINESS Penalty Ior pwate use. $300 Congressmal Record (USPS 087-390) Postage and Fees Pad U S Governme3n:jPnntmg OfIce SECOND CLASS NEWSPAPER H.4578 ' June 28, 1983 -: I H.J. Res. 273: Mr. BOLAND, Mr. WA-. Mr. OBERSTAFC, M' r. BEDELL, Mr. BONER of Tennessee, Mr. OWENS. Mr.

  18. United States

    Office of Legacy Management (LM)

    onp5fGonal Ruord United States of America . I. .' - PROCEEDINGS AND DEBATES OF THE 9t?lh CONGRESS, FIRST SESSION United States Government Printing Office SUPERINTENDENT OF DOCUMENTS Wash!ogtm. 0.C 20402 OFFICIAL BUSINESS Penalty for pwate use. sco Congressmal Record (USPS 087-390) Postage and Fees Pad I.) s ~lJ"er"ment Prlntlng OffIce 375 SECOND CLASS NEWSPAPER -...~-- -~- -- --- H 45' 78 ' cCJ~GRESSIONAL RECORD - HOUSE June 28, 1983 H.J. Res. 213: Mr. BOLAND, Mr. WAXM.UG Mr. OBERSTAR.

  19. United States

    Office of Legacy Management (LM)

    onSres;eional atecord United States of America :- PROCEEDINGS AND DEBATES OF THE 981h CONGRESS, FIRST SESSION United States Government Printing Office SUPERINTENDENT OF DOCUMENTS Washwtn. D C 20402 OFFICIAL BUSINESS Penalty for plvate use. $300 Congressmnal Record (USPS 087-390) Postage and Fees Pad U S Government Prtnttng Offlce 375 SECOND CLASS NEWSPAPER H 45' 78 * C.QvGRESSIONAL RECORD - HOUSE .-. June 28, 1983 H.J. Res. 273: Mr. BOLAND. Mr. Whxrdhr?. Mr. OBERsThx. Mi. BEDELL, Mr. BONER of

  20. United States

    Office of Legacy Management (LM)

    WASHINGTON, TUESDAY, JUNE 28, 1983 @nngmeional Ruord United States of America .__ -- . . ,- PROCEEDINGS AND DEBATES OF THE 9@ CONGRESS, FIRST SESSION United States Government Printing Office SUPERINTENDENT OF DOCUMENTS Washmgton, D C 20402 OFFICIAL BUSINESS Penalty Ior pwate use. $xX Congresstonal Record (USPS 087-390) Postage and Fees Pad U S Government Prlnhng 0ffv.X 375 SECOND CLASS NEWSPAPER H.4578 ' C.QNGRESSIONAL RECORD - HOUSE June 28, 1983 H.J. Res. 273: Mr. BOUND. Mr. W~.XMAN. Mr.

  1. Notices State

    National Nuclear Security Administration (NNSA)

    30908 Federal Register / Vol. 73, No. 104 / Thursday, May 29, 2008 / Notices State Parents of dependents and inde- pendents with dependents other than a spouse Dependents and independ- ents without de- pendents other than a spouse Under $15,000 (%) $15,000 & up (%) All (%) Michigan ................................................................................................................................. 5 4 3 Minnesota

  2. A quantitative approach to the characterization of cumulative and average solvent exposure in paint manufacturing plants

    SciTech Connect (OSTI)

    Ford, D.P.; Schwartz, B.S.; Powell, S.; Nelson, T.; Keller, L.; Sides, S.; Agnew, J.; Bolla, K.; Bleecker, M. )

    1991-06-01

    Previous reports have attributed a range of neurobehavioral effects to low-level, occupational solvent exposure. These studies have generally been limited in their exposure assessments and have specifically lacked good estimates of exposure intensity. In the present study, the authors describe the development of two exposure variables that quantitatively integrate industrial hygiene sampling data with estimates of exposure duration--a cumulative exposure (CE) estimate and a lifetime weighted average exposure (LWAE) estimate. Detailed occupational histories were obtained from 187 workers at two paint manufacturing plants. Historic industrial hygiene sampling data for total hydrocarbons (a composite variable of the major neurotoxic solvents present) were grouped according to 20 uniform, temporally stable exposure zones, which had been defined during plant walk-through surveys. Sampling at the time of the study was used to characterize the few zones for which historic data were limited or unavailable. For each participant, the geometric mean total hydrocarbon level for each exposure zone worked in was multiplied by the duration of employment in that zone; the resulting products were summed over the working lifetime to create the CE variable. The CE variable was divided by the total duration of employment in solvent-exposed jobs to create the LWAE variable. The explanatory value of each participant's LWAE estimate in the regression of simple visual reaction time (a neurobehavioral test previously shown to be affected by chronic solvent exposure) on exposure was compared with that of several other exposure variables, including exposure duration and an exposure variable based on an ordinal ranking of the exposure zones.

  3. Measuring and Explaining Electricity Price Changes in Restructured States

    SciTech Connect (OSTI)

    Fagan, Mark L.

    2006-06-15

    An effort to determine the effect of restructuring on prices finds that, on average, prices for industrial customers in restructured states were lower, relative to predicted prices, than prices for industrial customers in non-restructured states. This preliminary analysis also finds that these price changes are explained primarily by high pre-restructuring prices, not whether or not a state restructured. (author)

  4. U.S. average gasoline and diesel fuel prices expected to be slightly lower in 2013 than in 2012

    Gasoline and Diesel Fuel Update (EIA)

    average gasoline and diesel fuel prices expected to be slightly lower in 2013 than in 2012 Despite the recent run-up in gasoline prices, the U.S. Energy Information Administration expects falling crude oil prices will lead to a small decline in average motor fuel costs this year compared with last year. The price for regular gasoline is expected to average $3.55 a gallon in 2013 and $3.39 next year, according to EIA's new Short-Term Energy Outlook. That's down from $3.63 a gallon in 2012. For

  5. United States

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

    States Department of Agriculture Forest Service Southern Research Station General Technical Report SRS-68 Bats of the Savannah River Site and Vicinity Michael A. Menzel, Jennifer M. Menzel, John C. Kilgo, W. Mark Ford, Timothy C. Carter, and John W. Edwards Authors: Michael A. Menzel, 1 Jennifer M. Menzel, 2 John C. Kilgo, 3 W. Mark Ford, 2 Timothy C. Carter, 4 and John W. Edwards 5 1 Graduate Research Assistant, Division of Forestry, Wildlife and Fisheries, West Virginia University, Morgantown,

  6. United States

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

    1 United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule CBR-1-H Availability: This rate schedule shall be available to Big Rivers Electric Corporation and includes the City of Henderson, Kentucky (hereinafter called the Customer). Applicability: This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all

  7. United States

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

    7 United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule CTV-1-H Availability: This rate schedule shall be available to the Tennessee Valley Authority (hereinafter called TVA). Applicability: This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereafter called collectively the

  8. United States

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

    8 United States Department of Energy Southeastern Power Administration Wholesale Power Rate Schedule CTVI-1-A Availability: This rate schedule shall be available to customers (hereinafter called the Customer) who are or were formerly in the Tennessee Valley Authority (hereinafter called TVA) service area. Applicability: This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and

  9. Fact #638: August 30, 2010 Average Expenditure for a New Car Declines in Relation to Family Earnings

    Broader source: Energy.gov [DOE]

    Although the average expenditure for a new car has increased from 1967 to 2009, family earnings have also been on the rise. For this period, new car expenditures went from $3,216 to $23,186, while...

  10. "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

  11. Natural Gas Processing Plants in the United States: 2010 Update...

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

    for about 12 percent of total U.S. capacity. As of 2009, there were a total of 4 plants in the State, with the largest one reporting a capacity of 8.5 Bcf per day. Average...

  12. Natural Gas Processing Plants in the United States: 2010 Update...

    Gasoline and Diesel Fuel Update (EIA)

    3. Btu Content at Plant Inlets for Processing Plants in the United States, 2009 Minimum Annual Btu Content Maximum Annual Btu Content Average Annual Btu Content Alaska 850 1071 985...

  13. State Overview

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

    State Overview Population: 0.84 million (<1% total U.S.) Housing Units: 0.37 million (<1% total U.S.) Business Establishments: 0.03 million (<1% total U.S.) Annual Energy Consumption Electric Power: 11.7 TWh (<1% total U.S.) Coal: 2,000 MSTN (<1% total U.S.) Natural Gas: 63 Bcf (<1% total U.S.) Motor Gasoline: 9,800 Mbarrels (<1% total U.S.) Distillate Fuel: 8,300 Mbarrels (1% total U.S.) Annual Energy Production Electric Power Generation: 12 TWh (<1% total U.S.) Coal:

  14. United States

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

    E-T Global Energy, LLC OE Docket No. EA-381 Order Authorizing Electricity Exports to Mexico Order No. EA-381 June 10, 2011 I. BACKGROUND E-T Global Energy, LLC Order No. EA-381 Exports of electricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 301(b) and 402(f) of the Department ofEnergy Organization Act (42 U.S.C. 7151(b), 7172(f)) and require authorization under section 202(e) ofthe Federal Power Act (FPA) (16 U.S.C.824a(e))

  15. United States

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

    Tenaslta Power Services Co. OE Docket No. EA-243-A Order Authorizing Electricity Exports to Canada Order No. EA-243-A March 1,2007 Tenaska Power Services Co. Order No. EA-243-A I. BACKGROUND Exports of elcctricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 30 I(b) and 402(f) of the Departrncnt of' Energy Organizatio~l Act (42 U, S.C. 7 15 1 (b), 7 1 72Cf)) and rcquirc authorization under section 202(e) of the Federal Power Act

  16. United States

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

    TexMex Energy, LLC OE Docket No. EA-294-A Order Authorizing Electricity Exports to Mexico Order No. EA-294-A February 22, 2007 TexMex Energy, LLC Order No. EA-294-A I. BACKGROUND Exports of electricity from the United States to a foreign count~y are regulated by the Department of Energy (DOE) pursuant to sections 301(b) and 402(f) of the Department of Energy Organization Act (42 U.S.C. 7 15 1 (b), 71 72(f)) and require authorization under section 202(e) of the Federal Power Act (FPA) (16

  17. United States

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

    BP Energy Company OE Docket No. EA- 3 14 Order Authorizing Electricity Exports to Mexico Order No. EA-3 14 February 22,2007 BP Energy Company Order No. EA-314 I. BACKGROUND Exports of electricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 301(b) and 402(Q of the Department of Energy Organization Act (42 U.S.C. 7 15 l(b), 7172(f)) and require authorization under section 202(e) of the Federal Power Act (FPA) (16 U.S.C.S24a(e)) .

  18. United States

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

    CSW Power Marketing OE Docket No. EA-3 1 8 Order Authorizing Electricity Exports to Mexico Order No. EA-3 18 February 22,2007 CSW Power Marketing Order No. EA-318 I. BACKGROUND Exports of electricity from the United States to a foreign country are regulated by the Department of Energy (DOE) pursuant to sections 30l(b) and 402(f) of the Department of Energy Organization Act (42 U.S.C. 7 1 5 1 (b), 7 1 72(f)) and require authorization under section 202(e) of the Federal Power Act (FPA) (16

  19. States Government

    Office of Legacy Management (LM)

    ,.' &I ,J?5.8 = , sr; i&L:E%, 7-e;, iB 1 L Unitbd ' States Government ma.morandum DATE: $I$! 24 ml1 Department of Energy y;;;z EM-421 .- Elimination of the Landis Machine Company site SVWECT: The File TO: I have reviewed the attached site summary and elimination recommendation for the Landis Machine Company site in Waynesboro, Pennsylvania. I have determined that there is little likelihood of radioactive contamination at this site. Based' on the above, the Landis Machine Company site is

  20. Grating enhanced solid-state laser amplifiers

    DOE Patents [OSTI]

    Erlandson, Alvin C. (Livermore, CA); Britten, Jerald A. (Clayton, CA)

    2010-11-09

    A novel method and apparatus for suppressing ASE and parasitic oscillation modes in a high average power laser is introduced. Such an invention, as disclosed herein, uses diffraction gratings to increase gain, stored energy density, and pumping efficiency of solid-state laser gain media, such as, but not limited to rods, disks and slabs. By coupling predetermined gratings to solid-state gain media, such as crystal or ceramic laser gain media, ASE and parasitic oscillation modes can be effectively suppressed.

  1. Table 1.6 State-Level Energy Consumption, Expenditure, and Price...

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

    ... 1.3 because it: 1) does not include biodiesel; and 2) is the sum of State values, which use State average heat contents to convert physical units of coal and natural gas to Btu. ...

  2. Horizontal-Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures

    SciTech Connect (OSTI)

    Pichugina, Yelena L.; Banta, Robert M.; Kelley, Neil D.; Jonkman, Bonnie J.; Tucker, Sara C.; Newsom, Rob K.; Brewer, W. A.

    2008-08-01

    Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--has been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAA’s High Resolution Doppler Lidar (HRDL), which have been shown to be numerically equivalent to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance ?u2 were computed from HRDL measurements of the line-of-sight (LOS) velocity using a technique described in Banta, et al. (2002). The technique was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. It then describes several series of averaging tests that produced the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal velocity variance ?u2. The results show high correlation (0.71-0.97) of the mean U and average wind speed measured by sodar and in-situ instruments, independent of sampling strategies and averaging procedures. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging techniques.

  3. Accelerating Monte Carlo molecular simulations by reweighting and reconstructing Markov chains: Extrapolation of canonical ensemble averages and second derivatives to different temperature and density conditions

    SciTech Connect (OSTI)

    Kadoura, Ahmad; Sun, Shuyu Salama, Amgad

    2014-08-01

    Accurate determination of thermodynamic properties of petroleum reservoir fluids is of great interest to many applications, especially in petroleum engineering and chemical engineering. Molecular simulation has many appealing features, especially its requirement of fewer tuned parameters but yet better predicting capability; however it is well known that molecular simulation is very CPU expensive, as compared to equation of state approaches. We have recently introduced an efficient thermodynamically consistent technique to regenerate rapidly Monte Carlo Markov Chains (MCMCs) at different thermodynamic conditions from the existing data points that have been pre-computed with expensive classical simulation. This technique can speed up the simulation more than a million times, making the regenerated molecular simulation almost as fast as equation of state approaches. In this paper, this technique is first briefly reviewed and then numerically investigated in its capability of predicting ensemble averages of primary quantities at different neighboring thermodynamic conditions to the original simulated MCMCs. Moreover, this extrapolation technique is extended to predict second derivative properties (e.g. heat capacity and fluid compressibility). The method works by reweighting and reconstructing generated MCMCs in canonical ensemble for Lennard-Jones particles. In this paper, system's potential energy, pressure, isochoric heat capacity and isothermal compressibility along isochors, isotherms and paths of changing temperature and density from the original simulated points were extrapolated. Finally, an optimized set of Lennard-Jones parameters (?, ?) for single site models were proposed for methane, nitrogen and carbon monoxide.

  4. Horizontal Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures

    SciTech Connect (OSTI)

    Pichugina, Y. L.; Banta, R. M.; Kelley, N. D.; Jonkman, B. J.; Tucker, S. C.; Newsom, R. K.; Brewer, W. A.

    2008-08-01

    Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--have been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAA's high-resolution Doppler lidar (HRDL), which have been shown to be approximately equal to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance {sigma}2u were computed from HRDL measurements of the line-of-sight (LOS) velocity using a method described by Banta et al., which uses an elevation (vertical slice) scanning technique. The method was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. The results for the mean U and mean wind speed measured by sodar and in situ instruments for all nights of LLLJP show high correlation (0.71-0.97), independent of sampling strategies and averaging procedures, and correlation coefficients consistently >0.9 for four high-wind nights, when the low-level jet speeds exceeded 15 m s{sup -1} at some time during the night. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging parameters. Several series of averaging tests are described, to find the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal-velocity variance {sigma}{sup 2}{sub u}. Because of the nonstationarity of the SBL data, the best results were obtained when the velocity data were first averaged over intervals of 1 min, and then further averaged over 3-15 consecutive 1-min intervals, with best results for the 10- and 15-min averaging periods. For these cases, correlation coefficients exceeded 0.9. As a part of the analysis, Eulerian integral time scales ({tau}) were estimated for the four high-wind nights. Time series of {tau} through each night indicated erratic behavior consistent with the nonstationarity. Histograms of {tau} showed a mode at 4-5 s, but frequent occurrences of larger {tau} values, mostly between 10 and 100 s.

  5. State electricity profiles, March 1999

    SciTech Connect (OSTI)

    1999-03-01

    Due to the role electricity plays in the Nation`s economic and social well-being, interested parties have been following the electric power industry`s transition by keeping abreast of the restructuring and deregulation events that are taking place almost daily. Much of the attention centers around the States and how they are restructuring the business of electricity supply within their respective jurisdictions. This report is designed to profile each State and the District of Columbia regarding not only their current restructuring activities, but also their electricity generation and concomitant statistics from 1986 through 1996. Included are data on a number of subject areas including generating capability, generation, revenues, fuel use, capacity factor for nuclear plants, retail sales, and pollutant emissions. Although the Energy Information Administration (EIA) publishes this type of information, there is a lack of a uniform overview for each individual State. This report is intended to help fill that gap and also to serve as a framework for more detailed studies. In addition to basic statistics in tables and graphs, a textual section is provided for each State, discussing some of the points relative to electricity production that are noteworthy in, or unique to, that particular State. Also, each State is ranked according to the place it holds, as compared to the rest of the states, in various relevant areas, such as its average price of electricity per kilowatthour, its population, and its emissions of certain atmospheric pollutants. The final chapter covers the Nation as a whole. 451 figs., 520 tabs.

  6. Average Commercial Price

    Gasoline and Diesel Fuel Update (EIA)

    9.47 8.91 8.10 8.08 8.90 7.89 1967-2015 Alabama 13.34 12.36 12.56 12.35 11.92 11.03 1967-2015 Alaska 8.78 8.09 8.09 8.34 8.30 7.80 1967-2015 Arizona 10.72 9.99 9.35 8.76 10.34 10.53 1967-2015 Arkansas 8.89 8.90 7.99 7.68 7.88 8.08 1967-2015 California 8.30 8.29 7.05 7.81 9.05 7.98 1967-2015 Colorado 7.58 7.84 7.58 7.26 8.15 NA 1967-2015 Connecticut 9.55 8.48 8.40 9.20 10.24 NA 1967-2015 Delaware 13.26 13.58 13.31 11.78 11.42 10.70 1967-2015 District of Columbia 12.26 12.24 11.19 11.64 12.18

  7. Average Commercial Price

    Gasoline and Diesel Fuel Update (EIA)

    Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From

  8. Average Commercial Price

    Gasoline and Diesel Fuel Update (EIA)

    Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground

  9. Average Residential Price

    Gasoline and Diesel Fuel Update (EIA)

    11.39 11.03 10.65 10.32 10.97 10.38 1967-2015 Alabama 15.79 15.08 16.20 15.47 14.59 13.95 1967-2015 Alaska 8.89 8.77 8.47 8.85 9.11 9.68 1967-2015 Arizona 15.87 15.04 15.75 13.92 17.20 17.04 1967-2015 Arkansas 11.53 11.46 11.82 10.46 10.39 11.20 1967-2015 California 9.92 9.93 9.14 9.92 11.51 11.38 1967-2015 Colorado 8.13 8.25 8.28 7.85 8.89 NA 1967-2015 Connecticut 14.93 13.83 14.17 13.32 14.13 NA 1967-2015 Delaware 15.12 15.38 15.24 13.65 13.21 NA 1967-2015 District of Columbia 13.53 13.06

  10. Average Residential Price

    Gasoline and Diesel Fuel Update (EIA)

    Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From

  11. Average Residential Price

    Gasoline and Diesel Fuel Update (EIA)

    Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground

  12. Average Residential Price

    Gasoline and Diesel Fuel Update (EIA)

    Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History District of Columbia 13.53 13.06 12.10 12.45 13.05 12.52 1980-2015 Florida 17.89 18.16 18.34 18.46 19.02 19.29 1967-2015 Georgia 15.17 15.72 16.23 14.60 14.45 15.06 1967-2015 Maryland 12.44 12.10 12.17 11.67 12.21 12.05 1967-2015 Michigan 11.32 10.47 9.95 9.09 9.33 8.78 1967-2015 New Jersey

  13. Average Commercial Price

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

    8.45 8.43 8.37 7.74 7.38 7.21 1973-2015 Alabama 11.89 11.93 11.75 11.40 11.47 10.73 1989-2015 Alaska 7.74 7.89 7.03 7.67 7.43 7.39 1989-2015 Arizona 10.67 10.52 10.40 10.14 9.36 9.17 1989-2015 Arkansas 8.09 8.19 8.00 7.71 7.86 7.29 1989-2015 California 7.68 7.87 7.84 7.69 7.20 8.23 1989-2015 Colorado 9.41 9.33 9.19 7.83 6.49 6.18 1989-2015 Connecticut 9.29 9.52 NA 9.53 8.48 8.18 1989-2015 Delaware 13.35 13.86 13.93 12.54 10.82 9.15 1989-2015 District of Columbia 11.15 11.17 11.50 11.68 11.28

  14. Average Residential Price

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

    16.21 16.80 16.37 12.59 10.06 9.29 1973-2015 Alabama 20.35 20.60 20.38 19.12 17.67 14.30 1989-2015 Alaska 11.78 11.50 9.86 9.44 8.89 8.79 1989-2015 Arizona 23.59 24.01 23.01 20.77 14.57 12.75 1989-2015 Arkansas 17.53 19.19 18.15 17.40 13.80 10.34 1989-2015 California 11.68 11.85 11.91 11.53 10.31 11.37 1989-2015 Colorado 14.21 13.61 13.03 9.26 6.88 6.45 1989-2015 Connecticut 18.22 19.33 NA 15.30 12.50 11.82 1989-2015 Delaware 21.80 23.75 23.22 NA 14.03 11.09 1989-2015 District of Columbia 17.68

  15. Average Commercial Price

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

    2.26 12.24 11.19 11.64 12.18 11.55 1980-2015 Florida 10.60 11.14 10.41 10.87 11.38 10.74 1967-2015 Georgia 10.95 10.51 9.75 9.38 9.86 8.49 1967-2015 Maryland 9.87 10.29 10.00 10.06 10.52 10.00 1967-2015 Michigan 8.95 9.14 8.35 7.82 8.28 7.49 1967-2015 New Jersey 10.11 9.51 8.50 9.55 10.08 8.52 1967-2015 New York 10.88 9.32 7.84 8.00 8.31 6.89 1967-2015 Ohio 9.25 8.55 7.11 6.21 7.82 6.62 1967-2015 Pennsylvania 10.47 10.42 10.24 10.11 10.13 NA 1967-2015 Virginia 9.55 9.69 8.77 8.83 9.17 8.11

  16. Average Residential Price

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

    3.53 13.06 12.10 12.45 13.05 12.52 1980-2015 Florida 17.89 18.16 18.34 18.46 19.02 19.29 1967-2015 Georgia 15.17 15.72 16.23 14.60 14.45 15.06 1967-2015 Maryland 12.44 12.10 12.17 11.67 12.21 12.05 1967-2015 Michigan 11.32 10.47 9.95 9.09 9.33 8.78 1967-2015 New Jersey 12.84 11.78 11.09 10.89 9.69 8.37 1967-2015 New York 14.04 13.71 12.97 12.49 12.54 11.20 1967-2015 Ohio 11.13 10.78 9.91 9.46 10.16 9.49 1967-2015 Pennsylvania 12.90 12.46 11.99 11.63 11.77 NA 1967-2015 Virginia 12.73 12.72 12.42

  17. Average Commercial Price

    Gasoline and Diesel Fuel Update (EIA)

    1.15 11.17 11.50 11.68 11.28 10.01 1989-2015 Florida 10.92 10.91 11.15 10.61 10.69 10.89 1989-2015 Georgia 9.08 9.07 9.38 8.65 9.72 7.80 1989-2015 Maryland 10.98 11.61 11.11 9.98 9.56 10.44 1989-2015 Michigan 9.31 9.17 9.05 7.46 6.75 6.59 1989-2015 New Jersey 8.66 8.78 8.03 8.10 8.66 8.24 1989-2015 New York 6.08 5.75 5.99 6.27 6.33 6.82 1989-2015 Ohio 8.14 8.02 7.99 6.79 6.03 5.53 1989-2015 Pennsylvania 12.09 11.21 11.10 NA 8.27 8.13 1989-2015 Virginia 8.55 8.58 8.91 8.02 7.57 7.93

  18. Average Residential Price

    Gasoline and Diesel Fuel Update (EIA)

    7.68 18.15 18.17 16.21 12.60 10.70 1989-2015 Florida 24.58 24.59 24.41 23.37 21.56 19.15 1989-2015 Georgia 25.45 24.78 25.75 20.43 15.20 14.41 1989-2015 Maryland 18.44 19.08 19.39 13.51 12.72 13.12 1989-2015 Michigan 13.65 13.52 13.21 8.93 7.84 7.55 1989-2015 New Jersey 12.03 12.98 12.38 10.30 9.08 7.85 1989-2015 New York 17.10 17.33 17.53 14.26 12.27 11.42 1989-2015 Ohio 23.83 25.46 24.31 15.36 9.68 7.40 1989-2015 Pennsylvania 17.83 18.62 18.32 NA 10.56 9.85 1989-2015 Virginia 20.25 21.10 19.45

  19. Edge-facet pumped, multi-aperture, thin-disk laser geometry for very high average power output scaling

    DOE Patents [OSTI]

    Zapata, Luis E.

    2004-12-21

    The average power output of a laser is scaled, to first order, by increasing the transverse dimension of the gain medium while increasing the thickness of an index matched light guide proportionately. Strategic facets cut at the edges of the laminated gain medium provide a method by which the pump light introduced through edges of the composite structure is trapped and passes through the gain medium repeatedly. Spontaneous emission escapes the laser volume via these facets. A multi-faceted disk geometry with grooves cut into the thickness of the gain medium is optimized to passively reject spontaneous emission generated within the laser material, which would otherwise be trapped and amplified within the high index composite disk. Such geometry allows the useful size of the laser aperture to be increased, enabling the average laser output power to be scaled.

  20. Areal-averaged and Spectrally-resolved Surface Albedo from Ground-based Transmission Data Alone: Toward an Operational Retrieval

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Barnard, James C.; Flynn, Connor J.; Riihimaki, Laura D.; Michalsky, Joseph; Hodges, G. B.

    2014-08-22

    We present here a simple retrieval of the areal-averaged and spectrally resolved surface albedo using only ground-based measurements of atmospheric transmission under fully overcast conditions. Our retrieval is based on a one-line equation and widely accepted assumptions regarding the weak spectral dependence of cloud optical properties in the visible and near-infrared spectral range. The feasibility of our approach for the routine determinations of albedo is demonstrated for different landscapes with various degrees of heterogeneity using three sets of measurements:(1) spectrally resolved atmospheric transmission from Multi-Filter Rotating Shadowband Radiometer (MFRSR) at wavelength 415, 500, 615, 673, and 870 nm, (2) tower-based measurements of local surface albedo at the same wavelengths, and (3) areal-averaged surface albedo at four wavelengths (470, 560, 670 and 860 nm) from collocated and coincident Moderate Resolution Imaging Spectroradiometer (MODIS) observations. These integrated datasets cover both long (2008-2013) and short (April-May, 2010) periods at the ARM Southern Great Plains (SGP) site and the NOAA Table Mountain site, respectively. The calculated root mean square error (RMSE), which is defined here as the root mean squared difference between the MODIS-derived surface albedo and the retrieved area-averaged albedo, is quite small (RMSE?0.01) and comparable with that obtained previously by other investigators for the shortwave broadband albedo. Good agreement between the tower-based daily averages of surface albedo for the completely overcast and non-overcast conditions is also demonstrated. This agreement suggests that our retrieval originally developed for the overcast conditions likely will work for non-overcast conditions as well.

  1. Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations

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

    Computation of Domain-Averaged Irradiance with a Simple Two-Stream Radiative Transfer Model Including Vertical Cloud Property Correlations S. Kato Center for Atmospheric Sciences Hampton University Hampton, Virginia Introduction Recent development of remote sensing instruments by Atmospheric Radiation Measurement (ARM?) Program provides information of spatial and temporal variability of cloud structures. However it is not clear what cloud properties are required to express complicated cloud

  2. State Energy Program awards $5 million to states for State Energy...

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

    State Energy Program awards 5 million to states for State Energy Planning and Innovative Energy Practices State Energy Program awards 5 million to states for State Energy...

  3. Early Clinical Outcomes Demonstrate Preserved Cognitive Function in Children With Average-Risk Medulloblastoma When Treated With Hyperfractionated Radiation Therapy

    SciTech Connect (OSTI)

    Gupta, Tejpal; Jalali, Rakesh; Goswami, Savita; Nair, Vimoj; Moiyadi, Aliasgar; Epari, Sridhar; Sarin, Rajiv

    2012-08-01

    Purpose: To report on acute toxicity, longitudinal cognitive function, and early clinical outcomes in children with average-risk medulloblastoma. Methods and Materials: Twenty children {>=}5 years of age classified as having average-risk medulloblastoma were accrued on a prospective protocol of hyperfractionated radiation therapy (HFRT) alone. Radiotherapy was delivered with two daily fractions (1 Gy/fraction, 6 to 8 hours apart, 5 days/week), initially to the neuraxis (36 Gy/36 fractions), followed by conformal tumor bed boost (32 Gy/32 fractions) for a total tumor bed dose of 68 Gy/68 fractions over 6 to 7 weeks. Cognitive function was prospectively assessed longitudinally (pretreatment and at specified posttreatment follow-up visits) with the Wechsler Intelligence Scale for Children to give verbal quotient, performance quotient, and full-scale intelligence quotient (FSIQ). Results: The median age of the study cohort was 8 years (range, 5-14 years), representing a slightly older cohort. Acute hematologic toxicity was mild and self-limiting. Eight (40%) children had subnormal intelligence (FSIQ <85), including 3 (15%) with mild mental retardation (FSIQ 56-70) even before radiotherapy. Cognitive functioning for all tested domains was preserved in children evaluable at 3 months, 1 year, and 2 years after completion of HFRT, with no significant decline over time. Age at diagnosis or baseline FSIQ did not have a significant impact on longitudinal cognitive function. At a median follow-up time of 33 months (range, 16-58 months), 3 patients had died (2 of relapse and 1 of accidental burns), resulting in 3-year relapse-free survival and overall survival of 83.5% and 83.2%, respectively. Conclusion: HFRT without upfront chemotherapy has an acceptable acute toxicity profile, without an unduly increased risk of relapse, with preserved cognitive functioning in children with average-risk medulloblastoma.

  4. Steady state compact toroidal plasma production

    DOE Patents [OSTI]

    Turner, William C. (Livermore, CA)

    1986-01-01

    Apparatus and method for maintaining steady state compact toroidal plasmas. A compact toroidal plasma is formed by a magnetized coaxial plasma gun and held in close proximity to the gun electrodes by applied magnetic fields or magnetic fields produced by image currents in conducting walls. Voltage supply means maintains a constant potential across the electrodes producing an increasing magnetic helicity which drives the plasma away from a minimum energy state. The plasma globally relaxes to a new minimum energy state, conserving helicity according to Taylor's relaxation hypothesis, and injecting net helicity into the core of the compact toroidal plasma. Controlling the voltage so as to inject net helicity at a predetermined rate based on dissipative processes maintains or increases the compact toroidal plasma in a time averaged steady state mode.

  5. Application of a generalized matrix averaging method for the calculation of the effective properties of thin multiferroic layers

    SciTech Connect (OSTI)

    Starkov, A. S.; Starkov, I. A.

    2014-11-15

    It is proposed to use a generalized matrix averaging (GMA) method for calculating the parameters of an effective medium with physical properties equivalent to those of a set of thin multiferroic layers. This approach obviates the need to solve a complex system of magnetoelectroelasticity equations. The required effective characteristics of a system of multiferroic layers are obtained using only operations with matrices, which significantly simplifies calculations and allows multilayer systems to be described. The proposed approach is applicable to thin-layer systems, in which the total thickness is much less than the system length, radius of curvature, and wavelengths of waves that can propagate in the system (long-wave approximation). Using the GMA method, it is also possible to obtain the effective characteristics of a periodic structure with each period comprising a number of thin multiferroic layers.

  6. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 1st Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State...

  7. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 4th Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State...

  8. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State...

  9. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 3rd Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State...

  10. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State...

  11. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State...

  12. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 4th Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State...

  13. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State...

  14. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 3rd Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State...

  15. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State...

  16. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 1st Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State...

  17. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State...

  18. By Coal Origin State

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

    Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State...

  19. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State...

  20. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State...

  1. By Coal Destination State

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

    Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State...

  2. Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014- Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #849: December 1, 2014 Midsize Hybrid Cars Averaged 51% Better Fuel Economy than Midsize Non-Hybrid Cars in 2014

  3. Residential electricity rates for the United States for Solcost Data Bank cities

    SciTech Connect (OSTI)

    Smith, L. E.

    1981-05-01

    Electricity rates are given for selected cities in each state, first of the Southern Solar Energy Center region and then of the rest of the US, for an average residence that uses 1000 kWh a month. (LEW)

  4. State-level Greenhouse Gas Emission Factors for Electricity Generation, Updated 2002

    Reports and Publications (EIA)

    2002-01-01

    This report documents the preparation of updated state-level electricity coefficients for carbon dioxide (CO ), methane (CH ), and nitrous oxide (NO), which represent a three-year weighted average for 1998-2000.

  5. Charge and fluence lifetime measurements of a dc high voltage GaAs photogun at high average current

    SciTech Connect (OSTI)

    J. Grames, R. Suleiman, P.A. Adderley, J. Clark, J. Hansknecht, D. Machie, M. Poelker, M.L. Stutzman

    2011-04-01

    GaAs-based dc high voltage photoguns used at accelerators with extensive user programs must exhibit long photocathode operating lifetime. Achieving this goal represents a significant challenge for proposed high average current facilities that must operate at tens of milliamperes or more. This paper describes techniques to maintain good vacuum while delivering beam, and techniques that minimize the ill effects of ion bombardment, the dominant mechanism that reduces photocathode yield of a GaAs-based dc high voltage photogun. Experimental results presented here demonstrate enhanced lifetime at high beam currents by: (a) operating with the drive laser beam positioned away from the electrostatic center of the photocathode, (b) limiting the photocathode active area to eliminate photoemission from regions of the photocathode that do not support efficient beam delivery, (c) using a large drive laser beam to distribute ion damage over a larger area, and (d) by applying a relatively low bias voltage to the anode to repel ions created within the downstream beam line. A combination of these techniques provided the best total charge extracted lifetimes in excess of 1000 C at dc beam currents up to 9.5 mA, using green light illumination of bulk GaAs inside a 100 kV photogun.

  6. Combining multi-objective optimization and bayesian model averaging to calibrate forecast ensembles of soil hydraulic models

    SciTech Connect (OSTI)

    Vrugt, Jasper A; Wohling, Thomas

    2008-01-01

    Most studies in vadose zone hydrology use a single conceptual model for predictive inference and analysis. Focusing on the outcome of a single model is prone to statistical bias and underestimation of uncertainty. In this study, we combine multi-objective optimization and Bayesian Model Averaging (BMA) to generate forecast ensembles of soil hydraulic models. To illustrate our method, we use observed tensiometric pressure head data at three different depths in a layered vadose zone of volcanic origin in New Zealand. A set of seven different soil hydraulic models is calibrated using a multi-objective formulation with three different objective functions that each measure the mismatch between observed and predicted soil water pressure head at one specific depth. The Pareto solution space corresponding to these three objectives is estimated with AMALGAM, and used to generate four different model ensembles. These ensembles are post-processed with BMA and used for predictive analysis and uncertainty estimation. Our most important conclusions for the vadose zone under consideration are: (1) the mean BMA forecast exhibits similar predictive capabilities as the best individual performing soil hydraulic model, (2) the size of the BMA uncertainty ranges increase with increasing depth and dryness in the soil profile, (3) the best performing ensemble corresponds to the compromise (or balanced) solution of the three-objective Pareto surface, and (4) the combined multi-objective optimization and BMA framework proposed in this paper is very useful to generate forecast ensembles of soil hydraulic models.

  7. State Energy Program Helps States Plan and Implement Energy Efficiency...

    Energy Savers [EERE]

    Helps States Plan and Implement Energy Efficiency State Energy Program Helps States Plan and Implement Energy Efficiency The U.S. Department of Energy (DOE) State Energy Program...

  8. State Energy Risk Assessment Initiative - State Energy Risk Profiles...

    Energy Savers [EERE]

    Mission Energy Infrastructure Modeling and Analysis State Energy Risk Assessment Initiative - State Energy Risk Profiles State Energy Risk Assessment Initiative - State...

  9. Bluefield State College: Bluefield, West Virginia (Data)

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

    Stoffel, T.; Andreas, A.

    1985-11-06

    The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from July 1985 through December 1996. Funded by DOE, the six-station network provided 5-minute averaged measurements of direct normal, global, and diffuse horizontal solar irradiance. The data were processed at NREL to improve the assessment of the solar radiation resources in the southeastern United States. Historical HBCU data available online include quality assessed 5-min data, monthly reports, and plots. In January 1997 the HBCU sites became part of the CONFRRM solar monitoring network and data from the two remaining active stations, Bluefield State College and Elizabeth City State University, are collected by the NREL Measurement & Instrumentation Data Center (MIDC).

  10. Bluefield State College: Bluefield, West Virginia (Data)

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

    Stoffel, T.; Andreas, A.

    The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from July 1985 through December 1996. Funded by DOE, the six-station network provided 5-minute averaged measurements of direct normal, global, and diffuse horizontal solar irradiance. The data were processed at NREL to improve the assessment of the solar radiation resources in the southeastern United States. Historical HBCU data available online include quality assessed 5-min data, monthly reports, and plots. In January 1997 the HBCU sites became part of the CONFRRM solar monitoring network and data from the two remaining active stations, Bluefield State College and Elizabeth City State University, are collected by the NREL Measurement & Instrumentation Data Center (MIDC).

  11. Basin Destination State

    Gasoline and Diesel Fuel Update (EIA)

    4. Estimated rail transportation rates for coal, basin to state, EIA data Basin Destination State 2008 2009 2010 2008-2010 2009-2010 Northern Appalachian Basin Delaware 26.24 - W...

  12. Basin Destination State

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

    3. Estimated rail transportation rates for coal, basin to state, EIA data Basin Destination State 2008 2009 2010 2008-2010 2009-2010 Northern Appalachian Basin Delaware 28.49 - W...

  13. State Energy Strategic Plans

    Broader source: Energy.gov [DOE]

    Most state energy offices across the country are required to have current and long-term strategic energy management plans in place. These strategic plans help to ensure that state agencies are...

  14. Insolation data manual: long-term monthly averages of solar radiation, temperature, degree-days and global anti K/sub T/ for 248 national weather service stations

    SciTech Connect (OSTI)

    Knapp, C L; Stoffel, T L; Whitaker, S D

    1980-10-01

    Monthly averaged data is presented which describes the availability of solar radiation at 248 National Weather Service stations. Monthly and annual average daily insolation and temperature values have been computed from a base of 24 to 25 years of data. Average daily maximum, minimum, and monthly temperatures are provided for most locations in both Celsius and Fahrenheit. Heating and cooling degree-days were computed relative to a base of 18.3/sup 0/C (65/sup 0/F). For each station, global anti K/sub T/ (cloudiness index) were calculated on a monthly and annual basis. (MHR)

  15. AASG STATE GDR

    Energy Science and Technology Software Center (OSTI)

    003198MLTPL00 AASG State Geothermal Data Repository for the National Geothermal Data System.  http://repository.stategeothermaldata.org/repository/ 

  16. FY 2005 State Table

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

    Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Preliminary Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The

  17. Equations of state and transport properties of mixtures in the warm dense regime

    SciTech Connect (OSTI)

    Hou, Yong; Dai, Jiayu; Kang, Dongdong; Ma, Wen; Yuan, Jianmin

    2015-02-15

    We have performed average-atom molecular dynamics to simulate the CH and LiH mixtures in the warm dense regime, and obtained equations of state and the ionic transport properties. The electronic structures are calculated by using the modified average-atom model, which have included the broadening of energy levels, and the ion-ion pair potentials of mixtures are constructed based on the temperature-dependent density functional theory. The ionic transport properties, such as ionic diffusion and shear viscosity, are obtained through the ionic velocity correlation functions. The equations of state and transport properties for carbon, hydrogen and lithium, hydrogen mixtures in a wide region of density and temperature are calculated. Through our computing the average ionization degree, average ion-sphere diameter and transition properties in the mixture, it is shown that transport properties depend not only on the ionic mass but also on the average ionization degree.

  18. Transverse flowing liquid Kerr cell for high average power laser Q-switching and for direct modulation of high power laser beams.

    DOE Patents [OSTI]

    Comaskey, Brian J.

    2004-12-07

    A fluid flow concept is applied in an optical apparatus to define a high gain stand-off, fast electro-optical q-switch which is highly impervious to high average power optical loads.

  19. Table 17. Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type,

    Gasoline and Diesel Fuel Update (EIA)

    Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2013 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2013 Table 17. Recoverable Coal Reserves and Average Recovery Percentage at Producing U.S. Mines by Mine Production Range and Mine Type, 2013 (million short tons) U.S. Energy Information Administration | Annual Coal Report 2013 Underground Surface Total Mine Production Range (thousand short

  20. Ensemble density functional theory method correctly describes bond dissociation, excited state electron transfer, and double excitations

    SciTech Connect (OSTI)

    Filatov, Michael; Huix-Rotllant, Miquel; Burghardt, Irene

    2015-05-14

    State-averaged (SA) variants of the spin-restricted ensemble-referenced Kohn-Sham (REKS) method, SA-REKS and state-interaction (SI)-SA-REKS, implement ensemble density functional theory for variationally obtaining excitation energies of molecular systems. In this work, the currently existing version of the SA-REKS method, which included only one excited state into the ensemble averaging, is extended by adding more excited states to the averaged energy functional. A general strategy for extension of the REKS-type methods to larger ensembles of ground and excited states is outlined and implemented in extended versions of the SA-REKS and SI-SA-REKS methods. The newly developed methods are tested in the calculation of several excited states of ground-state multi-reference systems, such as dissociating hydrogen molecule, and excited states of donor–acceptor molecular systems. For hydrogen molecule, the new method correctly reproduces the distance dependence of the lowest excited state energies and describes an avoided crossing between the doubly excited and singly excited states. For bithiophene–perylenediimide stacked complex, the SI-SA-REKS method correctly describes crossing between the locally excited state and the charge transfer excited state and yields vertical excitation energies in good agreement with the ab initio wavefunction methods.

  1. Nevada State Air Regulations and State Implementation Plan Webpage...

    Open Energy Info (EERE)

    in Nevada and its state implementation plan. Author State of Nevada Division of Environmental Protection Published State of Nevada, Date Not Provided DOI Not Provided...

  2. State Opportunities for Action: Update of States' CHP Activities...

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

    Opportunities for Action: Update of States' CHP Activities (ACEEE), October 2003 State Opportunities for Action: Update of States' CHP Activities (ACEEE), October 2003 This 2003 ...

  3. State and Local Code Implementation: State Energy Officials ...

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

    State Energy Officials - 2014 BTO Peer Review State and Local Code Implementation: State Energy Officials - 2014 BTO Peer Review Presenter: Chris Wagner, National Association of...

  4. State Energy Strategic Planning

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE) Technical Assistance Program (TAP) presentation at a TAP webinar held on April 3, 2013 and dealing with state energy strategic planning.

  5. Solid State Lighting Reliability

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

    Solid State Lighting Reliability 2015Building Technologies Office Peer Review Lynn Davis, ... life testing methodologies that help lighting manufacturers and key stakeholders and ...

  6. Solid State Lighting Reliability

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

    Solid State Lighting Reliability 2014 Building Technologies Office Peer Review Lynn Davis, ... DOE : 370 K methodologies to help lighting manufacturers and key stakeholders ...

  7. By Coal Destination State

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

    California (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total...

  8. United States Government

    Office of Legacy Management (LM)

    OR Ohio State University, Columbus, OH (*) Stauffer Tenescal Co., Richmond, CA Tocco Induction Heating Division, Clevelaad, OH Utica Drop Forge & Tool Co., Utica, NV Titanium...

  9. Fact #639: September 6, 2010 Gasoline Tax Rates by State | Department of

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

    Energy 9: September 6, 2010 Gasoline Tax Rates by State Fact #639: September 6, 2010 Gasoline Tax Rates by State The Federal Excise Tax on motor gasoline is 18.4 cents per gallon for all states. Each state applies additional taxes which vary from state to state. As of July 2010, Alaska had the lowest overall tax rate for gasoline at 26.4 cents per gallon while California had the highest tax rate at 67.4 cents per gallon. The national average was 47.7 cents per gallon. Gasoline Tax Rates by

  10. How Well Can We Estimate Areal-Averaged Spectral Surface Albedo from Ground-Based Transmission in an Atlantic Coastal Area?

    SciTech Connect (OSTI)

    Kassianov, Evgueni I.; Barnard, James C.; Flynn, Connor J.; Riihimaki, Laura D.; Marinovici, Maria C.

    2015-10-15

    Areal-averaged albedos are particularly difficult to measure in coastal regions, because the surface is not homogenous, consisting of a sharp demarcation between land and water. With this difficulty in mind, we evaluate a simple retrieval of areal-averaged surface albedo using ground-based measurements of atmospheric transmission alone under fully overcast conditions. To illustrate the performance of our retrieval, we find the areal-averaged albedo using measurements from the Multi-Filter Rotating Shadowband Radiometer (MFRSR) at five wavelengths (415, 500, 615, 673, and 870 nm). These MFRSR data are collected at a coastal site in Graciosa Island, Azores supported by the U.S. Department of Energy’s (DOE’s) Atmospheric Radiation Measurement (ARM) Program. The areal-averaged albedos obtained from the MFRSR are compared with collocated and coincident Moderate Resolution Imaging Spectroradiometer (MODIS) white-sky albedo at four nominal wavelengths (470, 560, 670 and 860 nm). These comparisons are made during a 19-month period (June 2009 - December 2010). We also calculate composite-based spectral values of surface albedo by a weighted-average approach using estimated fractions of major surface types observed in an area surrounding this coastal site. Taken as a whole, these three methods of finding albedo show spectral and temporal similarities, and suggest that our simple, transmission-based technique holds promise, but with estimated errors of about ±0.03. Additional work is needed to reduce this uncertainty in areas with inhomogeneous surfaces.

  11. Appalachian State | Open Energy Information

    Open Energy Info (EERE)

    Appalachian State Jump to: navigation, search Name Appalachian State Facility Appalachian State Sector Wind energy Facility Type Small Scale Wind Facility Status In Service...

  12. Energy Standards for State Agencies

    Broader source: Energy.gov [DOE]

    State departments and agencies are encouraged to employ the latest energy-conservation practices in the design, construction, renovation, operation and maintenance of state facilities. All state ...

  13. Grid State Estimation Tool

    Energy Science and Technology Software Center (OSTI)

    2014-10-09

    This software code is designed to track generator state variables in real time using the Ensemble Kalman Filter method with the aid of PMU measurements. This code can also be used to calibrate dynamic model parameters by augmenting parameters in the state variable vector.

  14. Solid State Division

    SciTech Connect (OSTI)

    Green, P.H.; Watson, D.M.

    1989-08-01

    This report contains brief discussions on work done in the Solid State Division of Oak Ridge National Laboratory. The topics covered are: Theoretical Solid State Physics; Neutron scattering; Physical properties of materials; The synthesis and characterization of materials; Ion beam and laser processing; and Structure of solids and surfaces. (LSP)

  15. State of the States 2009: Renewable Energy Development and the...

    Open Energy Info (EERE)

    manual, Lessons learnedbest practices Website: www.nrel.govapplyingtechnologiesstatelocalactivitieswebinar2009 State of the States 2009: Renewable Energy Development and...

  16. Factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

    2003-05-15

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,500 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states that have achieved a substantial amount of wind energy investment. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  17. Ion charge state fluctuations in vacuum arcs

    SciTech Connect (OSTI)

    Anders, Andre; Fukuda, Kentaro; Yushkov, Georgy Yu

    2004-12-14

    Ion charge state distributions of cathodic vacuum arcs have been investigated using a modified time-of-flight method. Experiments have been done in double gate and burst gate mode, allowing us to study both systematic and stochastic changes of ion charge state distributions with a time resolution down to 100 ns. In the double gate method, two ion charge spectra are recorded with a well-defined time between measurements. The elements Mg, Bi, and Cu were selected for tests, representing metals of very different properties. For all elements it was found that large stochastic changes occur even at the limit of resolution. This is in agreement with fast changing arc properties observed elsewhere. Correlation of results for short times between measurements was found but it is argued that this is due to velocity mixing rather than due to cathode processes. The burst mode of time-of-flight measurements revealed the systematic time evolution of ion charge states within a single arc discharge, as opposed to previous measurements that relied on data averaged over many pulses. The technique shows the decay of the mean ion charge state as well as the level of material-dependent fluctuations.

  18. State energy price system. Volume I: overview and technical documentation

    SciTech Connect (OSTI)

    Fang, J.M.; Nieves, L.A.; Sherman, K.L.; Hood, L.J.

    1982-06-01

    This study utilizes existing data sources and previous analyses of state-level energy prices to develop consistent state-level energy prices series by fuel type and by end-use sector. The fuels are electricity, natural gas, coal, distillate fuel oil, motor gasoline, diesel, kerosene, jet fuel, residual fuel, and liquefied petroleum gas. The end-use sectors are residential, commercial, industrial, transportation, and electric utility. Based upon an evaluation of existing data sources, recommendations were formulated on the feasible approaches for developing a consistent state energy price series. The data series were compiled based upon the approaches approved after a formal EIA review. Detailed documentation was provided, including annual updating procedures. Recommendations were formulated for future improvements in the collection of data or in data processing. Generally, the geographical coverage includes the 50 states and the District of Columbia. Information on state-level energy use was generally taken from the State Energy Data System (SEDS). Corresponding average US prices are also developed using volumes reported in SEDS. To the extent possible, the prices developed are quantity weighted average retail prices. Both a Btu price series and a physical unit price series are developed for each fuel. The period covered by the data series is 1970 through 1980 for most fuels, though prices for electricity and natural gas extend back to 1960. (PSB)

  19. By Coal Destination State

    Gasoline and Diesel Fuel Update (EIA)

    Destination State ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal

  20. By Coal Origin State

    Gasoline and Diesel Fuel Update (EIA)

    Origin State ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal

  1. United States Government

    Office of Environmental Management (EM)

    States Government Department of Energy memorandum Carlsbad Field Office Carlsbad, New Mexico 88221 DATE: REPLY TO ATTN OF: SUBJECT: JAN 1 7 2014 CBFO:OESH:GTB:MN:14-1404:UFC...

  2. NetState

    Energy Science and Technology Software Center (OSTI)

    2005-09-01

    NetState is a distributed network monitoring system. It uses passive sensors to develop status information on a target network. Two major features provided by NetState are version and port tracking. Version tracking maintains information about software and operating systems versions. Port tracking identifies information about active TOP and UDP ports. Multiple NetState sniffers can be deployed, one at each entry point of the target network. The sniffers monitor network traffic, then send the information tomore » the NetState server. The information is stored in centralized database which can then be accessed via standard SQL database queries or this web-based GUI, for further analysis and display.« less

  3. State Biomass Contacts

    Broader source: Energy.gov [DOE]

    Most state governments have designated contacts for biomass conversion programs. The following contacts used by the Bioenergy Technologies Office may also be good contacts for you to find out about...

  4. United States Government

    Office of Environmental Management (EM)

    cr--ceut w.:3 i-Kun: TO:202 586 1660 P.002006 DOE F 1325. EFG (07.PO) United States Government Department of Energy memorandum DATE: September 24, 2004 Audit Report Number:...

  5. United States Nuclear Tests

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

    ... Two nuclear weapons that the United States exploded over Japan ending World War II are not listed. These detonations were not "tests" in the sense that they were conducted to prove ...

  6. STATE OF WASHINGTON August

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

    STATE OF WASHINGTON August 29, 2012 The Honorable Stephen Chu, Secretary United States Department of Energy 1000 Independence Avenue Washington, DC 20585 Dear Secretary Chu: As you know, we reached a significant agreement on the parameters for Hanford cleanup in a Consent Decree signed in federal court in October 2010. In November 2011,just 13 months later, DOE informed us that a number of unspecified Consent Decree requirements were at risk. Nearly six more months passed before DOE provided the

  7. Solid state switch

    DOE Patents [OSTI]

    Merritt, Bernard T. (Livermore, CA); Dreifuerst, Gary R. (Livermore, CA)

    1994-01-01

    A solid state switch, with reverse conducting thyristors, is designed to operate at 20 kV hold-off voltage, 1500 A peak, 1.0 .mu.s pulsewidth, and 4500 pps, to replace thyratrons. The solid state switch is more reliable, more economical, and more easily repaired. The switch includes a stack of circuit card assemblies, a magnetic assist and a trigger chassis. Each circuit card assembly contains a reverse conducting thyristor, a resistor capacitor network, and triggering circuitry.

  8. State Nuclear Profiles 2010

    Gasoline and Diesel Fuel Update (EIA)

    State Nuclear Profiles 2010 April 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as

  9. FY 2006 State Table

    Energy Savers [EERE]

    State Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 State Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or

  10. FY 2008 State Table

    Energy Savers [EERE]

    State Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer State Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments

  11. FY 2009 State Table

    Energy Savers [EERE]

    State Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE

  12. FY 2011 State Table

    Energy Savers [EERE]

    State Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 March 2010 Office of Chief Financial Officer State Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated

  13. FY 2012 State Table

    Energy Savers [EERE]

    6 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0066 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They displayed. The figures include both the discretionary and

  14. FY 2013 State Table

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

    9 Department of Energy FY 2013 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0079 Department of Energy FY 2013 Congressional Budget Request State Tables P li i Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They displayed. The figures include both the discretionary and

  15. SU-E-T-174: Evaluation of the Optimal Intensity Modulated Radiation Therapy Plans Done On the Maximum and Average Intensity Projection CTs

    SciTech Connect (OSTI)

    Jurkovic, I; Stathakis, S; Li, Y; Patel, A; Vincent, J; Papanikolaou, N; Mavroidis, P

    2014-06-01

    Purpose: To determine the difference in coverage between plans done on average intensity projection and maximum intensity projection CT data sets for lung patients and to establish correlations between different factors influencing the coverage. Methods: For six lung cancer patients, 10 phases of equal duration through the respiratory cycle, the maximum and average intensity projections (MIP and AIP) from their 4DCT datasets were obtained. MIP and AIP datasets had three GTVs delineated (GTVaip — delineated on AIP, GTVmip — delineated on MIP and GTVfus — delineated on each of the 10 phases and summed up). From the each GTV, planning target volumes (PTV) were then created by adding additional margins. For each of the PTVs an IMRT plan was developed on the AIP dataset. The plans were then copied to the MIP data set and were recalculated. Results: The effective depths in AIP cases were significantly smaller than in MIP (p < 0.001). The Pearson correlation coefficient of r = 0.839 indicates strong degree of positive linear relationship between the average percentage difference in effective depths and average PTV coverage on the MIP data set. The V2 0 Gy of involved lung depends on the PTV coverage. The relationship between PTVaip mean CT number difference and PTVaip coverage on MIP data set gives r = 0.830. When the plans are produced on MIP and copied to AIP, r equals ?0.756. Conclusion: The correlation between the AIP and MIP data sets indicates that the selection of the data set for developing the treatment plan affects the final outcome (cases with high average percentage difference in effective depths between AIP and MIP should be calculated on AIP). The percentage of the lung volume receiving higher dose depends on how well PTV is covered, regardless of on which set plan is done.

  16. Fact #831: July 28, 2014 Top Ten States with Diesel Light Vehicles |

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

    Department of Energy 1: July 28, 2014 Top Ten States with Diesel Light Vehicles Fact #831: July 28, 2014 Top Ten States with Diesel Light Vehicles In Wyoming, more than 10% of registered light vehicles are fueled by diesel making their State number one in terms of diesel share. All other States on the top ten list are also western States. The average of all light diesels registered in the U.S. is 2.8%. The data include diesel cars, sport-utility vehicles, vans, and pickups (includes

  17. High-Average Power Facilities

    SciTech Connect (OSTI)

    Dowell, David H.; Power, John G.; /Argonne

    2012-09-05

    There has been significant progress in the development of high-power facilities in recent years yet major challenges remain. The task of WG4 was to identify which facilities were capable of addressing the outstanding R&D issues presently preventing high-power operation. To this end, information from each of the facilities represented at the workshop was tabulated and the results are presented herein. A brief description of the major challenges is given, but the detailed elaboration can be found in the other three working group summaries.

  18. Measurement of Time-Averaged Particle-Wall Collision Properties Using Particle Tracking Velocimetry, CRADA PC93-006, Final Report

    SciTech Connect (OSTI)

    Shaffer, F.; Massah, H.; Sinclair, J.; Shahnam, M.

    1995-04-30

    This paper describes an experimental facility to measure time-averaged properties of particle-wall collisions. A particle tracking velocimetry (PTV) system measures particle rebound angles and velocities and impact angles and velocities for specific particles. From these measured properties, values of normal and tangential coefficient of restitution are derived. The PTV system rapidly measures thousands of particle-wall collisions enabling determination of time-averaged properties. In this initial work we use 191 {micro}m glass particles colliding with a glass plate at a fixed angle of 17.5{degree} and a velocity of 17.07 m/s. Observations are also made of aspherical particles colliding with gross sliding. In the future, this experimental system will be used with particles and wall materials of industrial significance.

  19. EIA - State Nuclear Profiles

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

    Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the

  20. EIA - State Electricity Profiles

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

    United States Electricity Profile 2013 Table 1. 2013 Summary statistics (United States) Item Value Primary energy source Coal Net summer capacity (megawatts) 1,060,064 Electric utilities 616,799 IPP & CHP 443,264 Net generation (megawatthours) 4,065,964,067 Electric utilities 2,388,058,409 IPP & CHP 1,677,905,658 Emissions Sulfur Dioxide (short tons) 3,978,753 Nitrogen Oxide (short tons) 2,411,564 Carbon Dioxide (thousand metric tons) 2,172,355 Sulfur Dioxide (lbs/MWh) 2.0 Nitrogen Oxide

  1. EIA - State Nuclear Profiles

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

    Vermont profile Vermont total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 620 55.0 4,782 72.2 Hydro and Pumped Storage 324 28.7 1,347 20.3 Natural Gas - - 4 0.1 Other Renewable1 84 7.5 482 7.3 Petroleum 100 8.9 5 0.1 Total 1,128 100.0 6,620 100.0 1Municipal Solid Waste net generation is allocated according to the

  2. Solid state switch

    DOE Patents [OSTI]

    Merritt, B.T.; Dreifuerst, G.R.

    1994-07-19

    A solid state switch, with reverse conducting thyristors, is designed to operate at 20 kV hold-off voltage, 1,500 A peak, 1.0 [mu]s pulsewidth, and 4,500 pps, to replace thyratrons. The solid state switch is more reliable, more economical, and more easily repaired. The switch includes a stack of circuit card assemblies, a magnetic assist and a trigger chassis. Each circuit card assembly contains a reverse conducting thyristor, a resistor capacitor network, and triggering circuitry. 6 figs.

  3. United States Environmental Monitoring

    Office of Legacy Management (LM)

    EPA 60014-91/030 Environmental Protection Systems Laboratory DOE/DP00539-063 Agency P.O. Box 93478 Las Vegas NV 891 93-3478 Research and Development Offsite Environmental Monitoring Report: 1 - 3 5 Radiation Monitorina Around * / (- P 7 1 United States ~ u c l g a r Test Areas Calendar Year 1990 This page intentionally left blank EPN60014-90 DOWDP Offsite Environmental Monitoring Report: Radiation Monitoring Around United States Nuclear Test Areas, Calendar Year 1990 Contributors: D.J. Chaloud,

  4. United States Government

    Office of Legacy Management (LM)

    f&E F 1325.8 J ;rgy!w, United States Government m e m o randum 7-L 0 cI - 2, Department of Energy I~27 DATE: !-jEC -2 3 1293 REPLY TO ATTN OF: EM-421 (W. A. W illiams, 903-8149) SUBJECT: Elimination of the Sites from the Formerly Utilized Sites Remedial Action Program TO: The F ile I have reviewed the attached site summaries and elimination recommendations for the following sites: f' l M itts & Merrel Co., Saginaw, M ichigan l North Carolina State University, Raleigh, North Carolina l

  5. Ited States Government

    Office of Legacy Management (LM)

    Ited States Government .'/:-tepartment of Ener. y V R P-Department of Enerqy DATE: . APR 3 0 1934 ILY TO - ArN OF: NE-24 IJECT: Radiological Survey for Maywood Vicinity Properties on Grove Avenue and Park Way I to. E. L. Keller, Director Technical Services Division Oak Ridge Operations Office I | In response to your memorandum to DeLaney/Whitman dated 3/21/84, we are in agreement with your consideration of 8 of the 15 properties for remedial I action for the reasons stated. Although the

  6. Bounce- and MLT-averaged diffusion coefficients in a physics-based magnetic field geometry obtained from RAM-SCB for the March 17 2013 storm

    SciTech Connect (OSTI)

    Zhao, Lei; Yu, Yiqun; Delzanno, Gian Luca; Jordanova, Vania K.

    2015-04-01

    Local acceleration via whistler wave and particle interaction plays a significant role in particle dynamics in the radiation belt. In this work we explore gyro-resonant wave-particle interaction and quasi-linear diffusion in different magnetic field configurations related to the March 17 2013 storm. We consider the Earth's magnetic dipole field as a reference and compare the results against non-dipole field configurations corresponding to quiet and stormy conditions. The latter are obtained with the ring current-atmosphere interactions model with a self-consistent magnetic field RAM-SCB, a code that models the Earth's ring current and provides a realistic modeling of the Earth's magnetic field. By applying quasi-linear theory, the bounce- and MLT-averaged electron pitch angle, mixed term, and energy diffusion coefficients are calculated for each magnetic field configuration. For radiation belt (~1 MeV) and ring current (~100 keV) electrons, it is shown that at some MLTs the bounce-averaged diffusion coefficients become rather insensitive to the details of the magnetic field configuration, while at other MLTs storm conditions can expand the range of equatorial pitch angles where gyro-resonant diffusion occurs and significantly enhance the diffusion rates. When MLT average is performed at drift shell L = 4.25 (a good approximation to drift average), the diffusion coefficients become quite independent of the magnetic field configuration for relativistic electrons, while the opposite is true for lower energy electrons. These results suggest that, at least for the March 17 2013 storm and for L ? 4.25, the commonly adopted dipole approximation of the Earth's magnetic field can be safely used for radiation belt electrons, while a realistic modeling of the magnetic field configuration is necessary to describe adequately the diffusion rates of ring current electrons.

  7. Bounce- and MLT-averaged diffusion coefficients in a physics-based magnetic field geometry obtained from RAM-SCB for the March 17 2013 storm

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Zhao, Lei; Yu, Yiqun; Delzanno, Gian Luca; Jordanova, Vania K.

    2015-04-01

    Local acceleration via whistler wave and particle interaction plays a significant role in particle dynamics in the radiation belt. In this work we explore gyro-resonant wave-particle interaction and quasi-linear diffusion in different magnetic field configurations related to the March 17 2013 storm. We consider the Earth's magnetic dipole field as a reference and compare the results against non-dipole field configurations corresponding to quiet and stormy conditions. The latter are obtained with the ring current-atmosphere interactions model with a self-consistent magnetic field RAM-SCB, a code that models the Earth's ring current and provides a realistic modeling of the Earth's magnetic field.more » By applying quasi-linear theory, the bounce- and MLT-averaged electron pitch angle, mixed term, and energy diffusion coefficients are calculated for each magnetic field configuration. For radiation belt (~1 MeV) and ring current (~100 keV) electrons, it is shown that at some MLTs the bounce-averaged diffusion coefficients become rather insensitive to the details of the magnetic field configuration, while at other MLTs storm conditions can expand the range of equatorial pitch angles where gyro-resonant diffusion occurs and significantly enhance the diffusion rates. When MLT average is performed at drift shell L = 4.25 (a good approximation to drift average), the diffusion coefficients become quite independent of the magnetic field configuration for relativistic electrons, while the opposite is true for lower energy electrons. These results suggest that, at least for the March 17 2013 storm and for L ≲ 4.25, the commonly adopted dipole approximation of the Earth's magnetic field can be safely used for radiation belt electrons, while a realistic modeling of the magnetic field configuration is necessary to describe adequately the diffusion rates of ring current electrons.« less

  8. State Energy Program Helps States Plan and Implement Energy Efficiency |

    Energy Savers [EERE]

    Department of Energy Helps States Plan and Implement Energy Efficiency State Energy Program Helps States Plan and Implement Energy Efficiency The U.S. Department of Energy (DOE) State Energy Program (SEP) provides grants and technical assistance to states and U.S. territories to promote energy conservation and reduce the growth of energy demand in ways that are consistent with national energy goals. PDF icon 48100_weather_sep_fsr3.pdf More Documents & Publications State Energy Program

  9. Recovery Act State Summaries | Department of Energy

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

    Recovery Act State Summaries Recovery Act State Summaries Alabama Recovery Act State Memo Alaska Recovery Act State Memo American Samoa Recovery Act State Memo Arizona Recovery Act State Memo Arkansas Recovery Act State Memo California Recovery Act State Memo Colorado Recovery Act State Memo Connecticut Recovery Act State Memo Delaware Recovery Act State Memo District of Columbia Recovery Act State Memo Florida Recovery Act State Memo Georgia Recovery Act State Memo Guam Recovery Act State Memo

  10. State Clean Energy Policies Analysis (SCEPA): State Policy and...

    Open Energy Info (EERE)

    Analysis (SCEPA): State Policy and the Pursuit of Renewable Energy Manufacturing Jump to: navigation, search Tool Summary LAUNCH TOOL Name: State Clean Energy Policies Analysis...

  11. State Energy Risk Assessment Initiative - State and Regional...

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

    OE is leading a State Energy Risk Assessment Initiative to help States better understand risks to their energy infrastructure so they can be better prepared to make informed...

  12. NREL: State and Local Governments - State Solar Technical Assistance

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

    What suite of solar PV policies and finance or incentive programs could be implemented in your state to maximize economic development opportunities? If your state agency implements ...

  13. Bluegrass State Getting Greener

    Broader source: Energy.gov [DOE]

    To help reduce Kentucky’s energy appetite, the state set a goal of 25-percent energy reduction by 2025 and is using Recovery Act funding from the U.S. Department of Energy to improve the energy-efficiency of its buildings.

  14. State authorization manual. Volume 1

    SciTech Connect (OSTI)

    Brugler-Jones, S.

    1990-10-01

    The State Authorization Manual (SAM) (Vol. I) provides guidance for States applying for program revisions to their authorized RCRA State program. The SAM is an updated version of the 1988 State Consolidated RCRA Authorization Manual (SCRAM). It focuses on program revision applications rather than initial applications since most States have received initial authorization for the RCRA program. The SCRAM should continue to be used to assist States not yet authorized under the RCRA program.

  15. Resources for State Energy Officials

    SciTech Connect (OSTI)

    SEE Action

    2012-06-01

    Provides a summary of State and Local Energy Efficiency Action Network (SEE Action) information resources available to state energy officials, organized by topic.

  16. Fermilab Today | Kansas State University

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

    Kansas State University Feb. 27, 2013 NAME: Kansas State University HOME TOWN: Manhattan, Kan. MASCOT: Willie the Wildcat COLORS: Royal purple COLLABORATING AT FERMILAB SINCE: 1993...

  17. The state of Vermont is

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

    state of Vermont is committed to a sustainable energy future. More than any other state in the nation, Vermont has forged effective partnerships among government, industry,...

  18. Fermilab Today | Wayne State University

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

    Wayne State University May 29, 2013 NAME: Wayne State University HOME TOWN: Detroit, Mich. COLORS: Green and gold COLLABORATING AT FERMILAB SINCE: 1995 WORLDWIDE PARTICLE PHYSICS...

  19. CASL - North Carolina State University

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

    North Carolina State University Raleigh, NC NC State University has a proven record of working with industry and government to advance research in support of solving nuclear...

  20. Qualified Energy Conservation Bond State-by-State Summary Tables

    Broader source: Energy.gov [DOE]

    Provides a list of qualified energy conservation bond state summary tables. Author: Energy Programs Consortium

  1. EIA - State Nuclear Profiles

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

    Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200

  2. EIA - State Nuclear Profiles

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

    Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total

  3. EIA - State Nuclear Profiles

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

    Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total

  4. EIA - State Nuclear Profiles

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

    California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum

  5. EIA - State Nuclear Profiles

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

    Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409

  6. EIA - State Nuclear Profiles

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

    Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3

  7. EIA - State Nuclear Profiles

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

    Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5

  8. EIA - State Nuclear Profiles

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

    Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110

  9. EIA - State Nuclear Profiles

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

    Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100

  10. EIA - State Nuclear Profiles

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

    Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100

  11. EIA - State Nuclear Profiles

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

    Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (nw) Share of State total (percent) Net generation (thousand nwh) Share of State total (percent) Nuclear 2,142 8.0 18,639 18.1 Coal 3,417 12.8 23,924 23.3 Hydro and Pumped Storage 192 0.7 1,109 1.1 Natural Gas 19,574 73.2 51,344 49.9 Other 1 213 0.8 2,120 2.1 Other Renewable1 325 1.2 2,468 2.4 Petroleum 881 3.3

  12. EIA - State Nuclear Profiles

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

    Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322

  13. EIA - State Nuclear Profiles

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

    Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031

  14. EIA - State Nuclear Profiles

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

    Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3

  15. EIA - State Nuclear Profiles

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

    Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31

  16. EIA - State Nuclear Profiles

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

    Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0

  17. EIA - State Nuclear Profiles

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

    Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total

  18. EIA - State Nuclear Profiles

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

    Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630

  19. EIA - State Nuclear Profiles

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

    Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0

  20. EIA - State Nuclear Profiles

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

    Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235

  1. EIA - State Nuclear Profiles

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

    York Nuclear Profile 2010 New York profile New York total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,271 13.4 41,870 30.6 Coal 2,781 7.1 13,583 9.9 Hydro and Pumped Storage 5,714 14.5 24,942 18.2 Natural Gas 17,407 44.2 48,916 35.7 Other 1 45 0.1 832 0.6 Other Renewable1 1,719 4.4 4,815 3.5 Petroleum 6,421 16.3

  2. EIA - State Nuclear Profiles

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

    North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6

  3. EIA - State Nuclear Profiles

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

    Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8

  4. EIA - State Nuclear Profiles

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

    South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982

  5. EIA - State Nuclear Profiles

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

    Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0

  6. EIA - State Nuclear Profiles

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

    Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0

  7. EIA - State Nuclear Profiles

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

    Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966

  8. EIA - State Nuclear Profiles

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

    Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473

  9. EIA - State Nuclear Profiles

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

    Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314

  10. EIA - State Nuclear Profiles

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

    Alabama Nuclear Profile 2010 Alabama profile Alabama total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,043 15.6 37,941 24.9 Coal 11,441 35.3 63,050 41.4 Hydro and Pumped Storage 3,272 10.1 8,704 5.7 Natural Gas 11,936 36.8 39,235 25.8 Other1 100 0.3 643 0.4 Other Renewable1 583 1.8 2,377 1.6 Petroleum 43 0.1 200

  11. EIA - State Nuclear Profiles

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

    Arizona Nuclear Profile 2010 Arizona profile Arizona total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,937 14.9 31,200 27.9 Coal 6,233 23.6 43,644 39.1 Hydro and Pumped Storage 2,937 11.1 6,831 6.1 Natural Gas 13,012 49.3 29,676 26.6 Other 1 - - 15 * Other Renewable1 181 0.7 319 0.3 Petroleum 93 0.4 66 0.1 Total

  12. EIA - State Nuclear Profiles

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

    Arkansas Nuclear Profile 2010 Arkansas profile Arkansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State ttal (percent) Nuclear 1,835 11.5 15,023 24.6 Coal 4,535 28.4 28,152 46.2 Hydro and Pumped Storage 1,369 8.6 3,658 6.0 Natural Gas 7,894 49.4 12,469 20.4 Other 1 - - 28 * Other Renewable1 326 2.0 1,624 2.7 Petroleum 22 0.1 45 0.1 Total

  13. EIA - State Nuclear Profiles

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

    California Nuclear Profile 2010 California profile California total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,390 6.5 32,201 15.8 Coal 374 0.6 2,100 1.0 Hydro and Pumped Storage 13,954 20.7 33,260 16.3 Natural Gas 41,370 61.4 107,522 52.7 Other 1 220 0.3 2,534 1.2 Other Renewable1 6,319 9.4 25,450 12.5 Petroleum

  14. EIA - State Nuclear Profiles

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

    Connecticut Nuclear Profile 2010 Connecticut profile Connecticut total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,103 25.4 16,750 50.2 Coal 564 6.8 2,604 7.8 Hydro and Pumped Storage 151 1.8 400 1.2 Natural Gas 2,292 27.7 11,716 35.1 Other 1 27 0.3 730 2.2 Other Renewable1 159 1.9 740 2.2 Petroleum 2,989 36.1 409

  15. EIA - State Nuclear Profiles

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

    Florida Nuclear Profile 2010 Florida profile Florida total electric power industry, summer capacity and net generation, by energy source, 2010 Primary Energy Source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,924 6.6 23,936 10.4 Coal 9,975 16.9 59,897 26.1 Hydro and Pumped Storage 55 0.1 177 0.1 Natural Gas 31,563 53.4 128,634 56.1 Other1 544 0.9 2,842 1.2 Other Renewable1 1,053 1.8 4,487 2.0 Petroleum 12,033 20.3

  16. EIA - State Nuclear Profiles

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

    Georgia Nuclear Profile 2010 Georgia profile Georgia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,061 11.1 33,512 24.6 Coal 13,230 36.1 73,298 54.0 Hydro and Pumped Storage 3,851 10.5 3,044 2.7 Natural Gas 12,668 34.6 23,884 15.9 Other 1 - - 18 * Other Renewable1 637 1.7 3,181 2.2 Petroleum 2,189 6.0 641 0.5

  17. EIA - State Nuclear Profiles

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

    Illinois Nuclear Profile 2010 Illinois profile Illinois total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 11,441 25.9 96,190 47.8 Coal 15,551 35.2 93,611 46.5 Hydro and Pumped Storage 34 0.1 119 0.1 Natural Gas 13,771 31.2 5,724 2.8 Other 1 145 0.3 461 0.2 Other Renewable1 2,078 4.7 5,138 2.6 Petroleum 1,106 2.5 110

  18. EIA - State Nuclear Profiles

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

    Iowa Nuclear Profile 2010 Iowa profile Iowa total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 601 4.1 4,451 7.7 Coal 6,956 47.7 41,283 71.8 Hydro and Pumped Storage 144 1.0 948 1.6 Natural Gas 2,299 15.8 1,312 2.3 Other Renewable1 3,584 24.6 9,360 16.3 Petroleum 1,007 6.9 154 .0.3 Total 14,592 100.0 57,509 100

  19. EIA - State Nuclear Profiles

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

    Kansas Nuclear Profile 2010 Kansas profile Kansas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,160 9.2 9,556 19.9 Coal 5,179 41.3 32,505 67.8 Hydro and Pumped Storage 3 * 13 * Natural Gas 4,573 36.5 2,287 4.8 Other Renewable1 1,079 8.6 3,459 7.2 Petroleum 550 4.4 103 0.2 Total 12,543 100.0 47,924 100

  20. EIA - State Nuclear Profiles

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

    Louisiana Nuclear Profile 2010 Louisiana profile Louisiana total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (nw) Share of State total (percent) Net generation (thousand nwh) Share of State total (percent) Nuclear 2,142 8.0 18,639 18.1 Coal 3,417 12.8 23,924 23.3 Hydro and Pumped Storage 192 0.7 1,109 1.1 Natural Gas 19,574 73.2 51,344 49.9 Other 1 213 0.8 2,120 2.1 Other Renewable1 325 1.2 2,468 2.4 Petroleum 881 3.3

  1. EIA - State Nuclear Profiles

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

    Maryland Nuclear Profile 2010 Maryland profile Maryland total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (Percent) Nuclear 1,705 13.6 13,994 32.1 Coal 4,886 39.0 23,668 54.3 Hydro and Pumped Storage 590 4.7 1,667 3.8 Natural Gas 2,041 16.3 2,897 6.6 Other 1 152 1.2 485 1.1 Other Renewable1 209 1.7 574 1.3 Petroleum 2,933 23.4 322

  2. EIA - State Nuclear Profiles

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

    Massachusetts Nuclear Profile 2010 Massachusetts profile Massachusetts total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 685 5.0 5,918 13.8 Coal 1,669 12.2 8,306 19.4 Hydro and Pumped Storage 1,942 14.2 659 1.5 Natural Gas 6,063 44.3 25,582 59.8 Other 1 3 * 771 1.8 Other Renewable1 304 2.2 1,274 3.0 Petroleum 3,031

  3. EIA - State Nuclear Profiles

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

    Michigan Nuclear Profile 2010 Michigan profile Michigan total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,947 13.2 29,625 26.6 Coal 11,531 38.7 65,604 58.8 Hydro and Pumped Storage 2,109 7.1 228 0.2 Natural Gas 11,033 37.0 12,249 11.0 Other 1 - - 631 0.6 Other Renewable1 571 1.9 2,832 2.5 Petroleum 640 2.1 382 0.3

  4. EIA - State Nuclear Profiles

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

    Minnesota Nuclear Profile 2010 Minnesota profile Minnesota total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,549 10.8 13,478 25.1 Coal 4,789 32.5 28,083 52.3 Hydro and Pumped Storage 193 1.3 840 1.6 Natural Gas 4,936 33.5 4,341 8.1 Other 1 13 0.1 258 0.5 Other Renewable1 2,395 16.3 6,640 12.4 Petroleum 795 5.4 31

  5. EIA - State Nuclear Profiles

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

    Mississippi Nuclear Profile 2010 Mississippi profile Mississippi total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,251 8.0 9,643 17.7 Coal 2,526 16.1 13,629 25.0 Natural Gas 11,640 74.2 29,619 54.4 Other 1 4 * 10 * Other Renewable1 235 1.5 1,504 2.8 Petroleum 35 0.2 18 0.1 Total 15,691 100.0 54,487 100.0

  6. EIA - State Nuclear Profiles

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

    Missouri Nuclear Profile 2010 Missouri profile Missouri total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,190 5.5 8,996 9.7 Coal 12,070 55.5 75,047 81.3 Hydro and Pumped Storage 1,221 5.6 2,427 2.6 Natural Gas 5,579 25.7 4,690 5.1 Other 1 - - 39 * Other Renewable1 466 2.1 988 1.1 Petroleum 1,212 5.6 126 0.1 Total

  7. EIA - State Nuclear Profiles

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

    Nebraska Nuclear Profile 2010 Nebraska profile Nebraska total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,245 15.8 11,054 30.2 Coal 3,932 50.0 23,368 63.8 Hydro and Pumped Storage 278 3.5 1,314 3.6 Natural Gas 1,864 23.5 375 1.0 Other Renewable1 165 2.1 493 1.3 Petroleum 387 4.9 31 0.1 Total 7,857 100.0 36,630

  8. EIA - State Nuclear Profiles

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

    Hampshire Nuclear Profile 2010 New Hampshire profile New Hampshire total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,247 29.8 10,910 49.2 Coal 546 13.1 3,083 13.9 Hydro and Pumped Storage 489 11.7 1,478 6.7 Natural Gas 1,215 29.1 5,365 24.2 Other 1 - - 57 0.3 Other Renewable1 182 4.4 1,232 5.6 Petroleum 501 12.0

  9. EIA - State Nuclear Profiles

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

    Jersey Nuclear Profile 2010 New Jersey profile New Jersey total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,108 22.3 32,771 49.9 Coal 2,036 11.1 6,418 9.8 Hydro and Pumped Storage 404 2.2 -176 -0.3 Natural Gas 10,244 55.6 24,902 37.9 Other 1 56 0.3 682 1.0 Other Renewable1 226 1.2 850 1.3 Petroleum 1,351 7.3 235

  10. EIA - State Nuclear Profiles

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

    York Nuclear Profile 2010 New York profile New York total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 5,271 13.4 41,870 30.6 Coal 2,781 7.1 13,583 9.9 Hydro and Pumped Storage 5,714 14.5 24,942 18.2 Natural Gas 17,407 44.2 48,916 35.7 Other 1 45 0.1 832 0.6 Other Renewable1 1,719 4.4 4,815 3.5 Petroleum 6,421 16.3

  11. EIA - State Nuclear Profiles

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

    North Carolina Nuclear Profile 2010 North Carolina profile North Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,958 17.9 40,740 31.7 Coal 12,766 46.1 71,951 55.9 Hydro and Pumped Storage 2,042 7.4 4,757 3.7 Natural Gas 6,742 24.4 8,447 6.6 Other 1 50 0.2 407 0.3 Other Renewable1 543 2.0 2,083 1.6

  12. EIA - State Nuclear Profiles

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

    Ohio Nuclear Profile 2010 Ohio profile Ohio total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 2,134 6.5 15,805 11.0 Coal 21,360 64.6 117,828 82.1 Hydro and Pumped Storage 101 0.3 429 0.3 Natural Gas 8,203 24.8 7,128 5.0 Other 1 123 0.4 266 0.2 Other Renewable1 130 0.4 700 0.5 Petroleum 1,019 3.1 1,442 1.0 Total

  13. EIA - State Nuclear Profiles

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

    Pennsylvania Nuclear Profile 2010 Pennsylvania profile Pennsylvania total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 9,540 20.9 77,828 33.9 Coal 18,481 40.6 110,369 48.0 Hydro and Pumped Storage 2,268 5.0 1,624 0.7 Natural Gas 9,415 20.7 33,718 14.7 Other 1 100 0.2 1,396 0.6 Other Renewable1 1,237 2.7 4,245 1.8

  14. EIA - State Nuclear Profiles

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

    South Carolina profile South Carolina total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 6,486 27.0 51,988 49.9 Coal 7,230 30.1 37,671 36.2 Hydro and Pumped Storage 4,006 16.7 1,442 1.4 Natural Gas 5,308 22.1 10,927 10.5 Other 1 - - 61 0.1 Other Renewable1 284 1.2 1,873 1.8 Petroleum 670 2.8 191 0.2 Total 23,982

  15. EIA - State Nuclear Profiles

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

    Tennessee profile Tennessee total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,401 15.9 27,739 33.7 Coal 8,805 41.1 43,670 53.0 Hydro and Pumped Storage 4,277 20.0 7,416 9.0 Natural Gas 4,655 21.7 2,302 2.8 Other 1 - - 16 * Other Renewable1 222 1.0 988 1.2 Petroleum 58 0.3 217 0.3 Total 21,417 100.0 82,349 100.0

  16. EIA - State Nuclear Profiles

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

    Texas profile Texas total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 4,966 4.6 41,335 10.0 Coal 22,335 20.6 150,173 36.5 Hydro and Pumped Storage 689 0.6 1,262 0.3 Natural Gas 69,291 64.0 186,882 45.4 Other 1 477 0.4 3,630 0.9 Other Renewable1 10,295 9.5 27,705 6.7 Petroleum 204 0.2 708 0.2 Total 108,258 100.0

  17. EIA - State Nuclear Profiles

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

    Virginia profile Virginia total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 3,501 14.5 26,572 36.4 Coal 5,868 24.3 25,459 34.9 Hydro and Pumped Storage 4,107 17.0 10 * Natural Gas 7,581 31.4 16,999 23.3 Other 1 - - 414 0.6 Other Renewable1 621 2.6 2,220 3.0 Petroleum 2,432 10.1 1,293 1.8 Total 24,109 100.0 72,966

  18. EIA - State Nuclear Profiles

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

    Washington profile Washington total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,097 3.6 9,241 8.9 Coal 1,340 4.4 8,527 8.2 Hydro and Pumped Storage 21,495 70.5 68,342 66.0 Natural Gas 3,828 12.6 10,359 10.0 Other 1 - - 354 0.3 Other Renewable1 2,703 8.9 6,617 6.4 Petroleum 15 * 32 * Total 30,478 100.0 103,473

  19. EIA - State Nuclear Profiles

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

    Wisconsin profile Wisconsin total electric power industry, summer capacity and net generation, by energy source, 2010 Primary energy source Summer capacity (mw) Share of State total (percent) Net generation (thousand mwh) Share of State total (percent) Nuclear 1,584 8.9 13,281 20.7 Coal 8,063 45.2 40,169 62.5 Hydro and Pumped Storage 492 2.8 2,112 3.3 Natural Gas 6,110 34.3 5,497 8.5 Other 1 21 0.1 63 0.1 Other Renewable1 775 4.3 2,474 3.8 Petroleum 790 4.4 718 1.1 Total 17,836 100.0 64,314

  20. Tracking intruder states

    SciTech Connect (OSTI)

    Riedinger, L.L.; Mueller, W.F.; Yu, C.H.

    1992-12-31

    The deformation-driving effects of intruder states are studied by analysis of various types of data on rotational bands in rare-earth deformed nuclei. The sensitivity of four measurables (bandhead energy, B(E2) value, neutron i{sub 13/2} crossing frequency, and signature splitting) to increase deformation in an intruder band is shown. The analysis of signature splitting systematics is extended to know superdeformed bands.

  1. Tracking intruder states

    SciTech Connect (OSTI)

    Riedinger, L.L.; Mueller, W.F.; Yu, C.H.

    1992-01-01

    The deformation-driving effects of intruder states are studied by analysis of various types of data on rotational bands in rare-earth deformed nuclei. The sensitivity of four measurables (bandhead energy, B(E2) value, neutron i[sub 13/2] crossing frequency, and signature splitting) to increase deformation in an intruder band is shown. The analysis of signature splitting systematics is extended to know superdeformed bands.

  2. North Dakota State University

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

    Dakota State University - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced

  3. Louisiana State University

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

    University Morgan Wascko / 3 February, 2004 / Page 1 2004 Aspen Winter Conference Physics of Short Baseline Accelerator Neutrino Experiments SBL oscillations LSND signal (sterile neutrinos?) what to do about it Connections with other ν sub-fields nuclear physics (via precision CCQE σ measurements) LBL, Atm. (via single π production σ measurements) astrophysics (via SBL sterile neutrino searches) Louisiana State University Morgan Wascko / 3 February, 2004 / Page 2 2004 Aspen Winter Conference

  4. United States Government

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

    * (08-93) United States Government Department of Energy Memorandum OFFICE OF INSPECTOR GENERAL DATE: November 9, 2005 REPLY TO ATTN OF: IG-34 (A05TG036) Audit Report No.: OAS-L-06-01 SUBJECT: Report on Audit of "The Department of Energy's Radio Communications Systems" TO: Chief Information Officer, IM-1 INTRODUCTION AND OBJECTIVE The Department of Energy's (Department) complex-wide radio systems infrastructure supports and facilitates activities such as site emergency response,

  5. UNITED STATES GOVERNMENT

    Office of Legacy Management (LM)

    '.... '|le , * f C. Office Memorandum * UNITED STATES GOVERNMENT .-- J TO ' Leo Graup, Chief, DATE: September 29, 1958 Property Management Branch rFi0 : M. S. Weinstein Industrial Hygiene Branch, HASL SUBJBT: SURVEY AT HAIST PROPETIY SYMBOL: HSH:MSW. Thisl property was purchased during MED operation and used as a dumping ground for refinery residues generated by Linde Air Products during their period of participation in the refinery operations program. \It 2 consists of 10 acres in addition to a

  6. State Energy Finance Programs

    Energy Savers [EERE]

    Finance Programs Alaska Native Village Energy Development Workshop April 29, 2014  Energy Planning and Policy  Technical and Community Assistance  Investing in Alaska's Energy Infrastructure  Diversifying Alaska's Energy Portfolio Reducing the Cost of Energy 2 Alaska's Energy Policy Reinforces AEA as the Lead Energy Agency "It is the policy of the state to coordinate governmental functions by using one office or agency, as may be specified by law, to serve as a clearinghouse in

  7. United States Government

    Office of Legacy Management (LM)

    D;F&g,8 C-r-I 3-3 .*. United States Government . memorandum DATE: JUNZO 1994 -... REPLY TO A?TN OF: EM-421 (W. A. Williams, 903-8149) Authority Determination -- Combustion Engineering Site, Windsor, SUBJECT: Connecticut To' The File The attached review, documents the basis for determining whether the Department of Energy (DOE) has authority for taking remedial action at the Combustion Engineering (CE) Site in Windsor, Connecticut, under the Formerly Utilized Sites Remedial Action Program. CE

  8. United States Government

    Office of Legacy Management (LM)

    9 4797 DATE: p; 4 ' 2 ' ?Qj REPLY TO AlTN OF: EM-421 (W. A. Williams, 903-8149) SUBJECT: Elimination of the Sites from the Formerly Utilized Action Program TO: The File I have reviewed the attached site summaries and elimination recommendations for the following sites: l Mitts & Merrel Co., Saginaw, Michigan l North Carolina State University, Raleigh, North Carolina l National Smelt & Refining, Cleveland, Ohio l Sutton, Steele & Steele, Dallas, Texas l Norfolk Naval Station, Virginia

  9. State Opportunities for Action: Update of States' CHP Activities (ACEEE),

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

    October 2003 | Department of Energy Opportunities for Action: Update of States' CHP Activities (ACEEE), October 2003 State Opportunities for Action: Update of States' CHP Activities (ACEEE), October 2003 This 2003 American Council for an Energy-Efficient Economy (ACEEE) report brings up to date the review of state policies with regard to CHP that ACEEE completed in 2002. The report describes the current activities of states with programs during the initial survey and also reviews new

  10. Spectroscopy of tetraquark states

    SciTech Connect (OSTI)

    Santopinto, Elena; Galata, Giuseppe

    2007-04-15

    A complete classification of qqqq tetraquark states in terms of the spin-flavor, color, and spatial degrees of freedom was constructed. The permutation symmetry properties of both the spin-flavor and orbital parts of the qq and qq subsystems are discussed. This complete classification is general and model independent and it is useful both for model builders and experimentalists. The total wave functions are also explicitly constructed in the hypothesis of ideal mixing; this basis for tetraquark states will enable the eigenvalue problem to be solved for a definite dynamical model. An evaluation of the tetraquark spectrum was obtained from the Iachello mass formula for normal mesons, here generalized to tetraquark systems. This mass formula is a generalization of the Gell-Mann Okubo mass formula, whose coefficients have been upgraded by a study of the latest PDG data. The ground-state tetraquark nonet was identified with f{sub 0}(600),{kappa}(800),f{sub 0}(980),a{sub 0}(980). The diquark-antidiquark limit was also studied.

  11. JWL Equation of State

    SciTech Connect (OSTI)

    Menikoff, Ralph

    2015-12-15

    The JWL equation of state (EOS) is frequently used for the products (and sometimes reactants) of a high explosive (HE). Here we review and systematically derive important properties. The JWL EOS is of the Mie-Grueneisen form with a constant Grueneisen coefficient and a constants specific heat. It is thermodynamically consistent to specify the temperature at a reference state. However, increasing the reference state temperature restricts the EOS domain in the (V, e)-plane of phase space. The restrictions are due to the conditions that P ? 0, T ? 0, and the isothermal bulk modulus is positive. Typically, this limits the low temperature regime in expansion. The domain restrictions can result in the P-T equilibrium EOS of a partly burned HE failing to have a solution in some cases. For application to HE, the heat of detonation is discussed. Example JWL parameters for an HE, both products and reactions, are used to illustrate the restrictions on the domain of the EOS.

  12. Kansas State University: Business Plan

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

    Wildcat Wind Power Advisors Electrical Dr. Ruth Miller, Associate Professor, Kansas State University Mechanical Dr. Warren White, Associate Professor, Kansas State Greg Spaulding, P.E., Assistant Professor, Kansas State Dr. Youqi Wang, Professor, Kansas State University Business Kim Fowler, Graduate Student, Kansas State Jason Schmitt, Founder & COO, Nitride Solutions Mechanical Team Joe Kuhn - CEO/President Aaron Akin Stuart Disberger Bret Gross Aaron Thomsen Jordan Robl Cody Yost Lane

  13. State Energy Advisory Board Charter

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

    United States Department of Energy Advisory Board Charter 1. Board's Official Designation. State Energy Advisory Board (STEAB) 2. Authority. This charter establishes the State Energy Advisory Board pursuant to Public Law 101-440, the State Energy Efficiency Programs Improvement Act of 1990. The State Energy Advisory Board is being renewed in accordance with provisions of the Federal Advisory Committee Act (FACA), as amended, 5 U.S.C., App 2. This charter establishes the STEAB under the

  14. State Clean Energy Policies Analysis (SCEPA): State Tax Incentives

    SciTech Connect (OSTI)

    Lantz, E.; Doris, E.

    2009-10-01

    As a policy tool, state tax incentives can be structured to help states meet clean energy goals. Policymakers often use state tax incentives in concert with state and federal policies to support renewable energy deployment or reduce market barriers. This analysis used case studies of four states to assess the contributions of state tax incentives to the development of renewable energy markets. State tax incentives that are appropriately paired with complementary state and federal policies generally provide viable mechanisms to support renewable energy deployment. However, challenges to successful implementation of state tax incentives include serving project owners with limited state tax liability, assessing appropriate incentive levels, and differentiating levels of incentives for technologies with different costs. Additionally, state tax incentives may result in moderately higher federal tax burdens. These challenges notwithstanding, state tax incentives that consider certain policy design characteristics can support renewable energy markets and state clean energy goals.The scale of their impact though is directly related to the degree to which they support the renewable energy markets for targeted sectors and technologies. This report highlights important policy design considerations for policymakers using state tax incentives to meet clean energy goals.

  15. Average and local crystal structures of (Ga1–xZnx)(N1–xOx) solid solution nanoparticles

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Feygenson, Mikhail; Neuefeind, Joerg C.; Tyson, Trevor A.; Schieber, Natalie; Han, Wei -Qiang

    2015-11-06

    We report the comprehensive study of the crystal structure of (Ga1–xZnx)(N1–xOx) solid solution nanoparticles by means of neutron and synchrotron x-ray scattering. In our study we used four different types of (Ga1–xZnx)(N1–xOx) nanoparticles, with diameters of 10–27 nm and x = 0.075–0.51, which show the narrow energy-band gaps from 2.21 to 2.61 eV. The Rietveld analysis of the neutron diffraction data revealed that the average crystal structure is the hexagonal wurtzite (space group P63mc), in agreement with previous reports on similar bulk materials. The pair-distribution function (PDF) analysis of the same data found that the local structure is more disorderedmore » than the average one. It is best described by the model with a lower symmetry space group P1, where atoms are quasirandomly distorted from their nominal positions in the hexagonal wurtzite lattice.« less

  16. Solid state oxygen sensor

    DOE Patents [OSTI]

    Garzon, F.H.; Chung, B.W.; Raistrick, I.D.; Brosha, E.L.

    1996-08-06

    Solid state oxygen sensors are provided with a yttria-doped zirconia as an electrolyte and use the electrochemical oxygen pumping of the zirconia electrolyte. A linear relationship between oxygen concentration and the voltage arising at a current plateau occurs when oxygen accessing the electrolyte is limited by a diffusion barrier. A diffusion barrier is formed herein with a mixed electronic and oxygen ion-conducting membrane of lanthanum-containing perovskite or zirconia-containing fluorite. A heater may be used to maintain an adequate oxygen diffusion coefficient in the mixed conducting layer. 4 figs.

  17. United States Patent: 7896053

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

    Patent: 7896053 http://patft.uspto.gov/...p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=7,896,053.PN.&OS=PN/7,896,053&RS=PN[6/20/2011 12:30:03 PM] ( 1 of 1 ) United States Patent 7,896,053 Simandl , et al. March 1, 2011 Non-destructive component separation using infrared radiant energy Abstract A method for separating a first component and a second component from one another at an adhesive bond interface between the first component and second component.

  18. Recipient: Colorado State University

    Office of Scientific and Technical Information (OSTI)

    of work under Grant DE-FG02-96ER14647 Recipient: Colorado State University Office of Sponsored Programs Fort Collins, CO 80523 Grant Period: Sept. 1, 1996 - May 31, 2015 Principal Investigator: Stephen R. Lundeen This project originated with the desire to apply the dense CW Rb Rydberg target, developed by the PI under previous NSF support, to the study of collisions between highly-charged ions (HCI) and Rydberg atoms. The feasibility of such studies was demonstrated in initial unfunded studies

  19. Solid state optical microscope

    DOE Patents [OSTI]

    Young, I.T.

    1983-08-09

    A solid state optical microscope wherein wide-field and high-resolution images of an object are produced at a rapid rate by utilizing conventional optics with a charge-coupled photodiode array. A galvanometer scanning mirror, for scanning in one of two orthogonal directions is provided, while the charge-coupled photodiode array scans in the other orthogonal direction. Illumination light from the object is incident upon the photodiodes, creating packets of electrons (signals) which are representative of the illuminated object. The signals are then processed, stored in a memory, and finally displayed as a video signal. 2 figs.

  20. Solid state optical microscope

    DOE Patents [OSTI]

    Young, Ian T. (Pleasanton, CA)

    1983-01-01

    A solid state optical microscope wherein wide-field and high-resolution images of an object are produced at a rapid rate by utilizing conventional optics with a charge-coupled photodiode array. A galvanometer scanning mirror, for scanning in one of two orthogonal directions is provided, while the charge-coupled photodiode array scans in the other orthogonal direction. Illumination light from the object is incident upon the photodiodes, creating packets of electrons (signals) which are representative of the illuminated object. The signals are then processed, stored in a memory, and finally displayed as a video signal.