National Library of Energy BETA

Sample records for net generation statistics

  1. Renewable Generation Effect on Net Regional Energy Interchange: Preprint

    SciTech Connect (OSTI)

    Diakov, Victor; Brinkman, Gregory; Denholm, Paul; Jenkin, Thomas; Margolis, Robert

    2015-07-30

    Using production-cost model (PLEXOS), we simulate the Western Interchange (WECC) at several levels of the yearly renewable energy (RE) generation, between 13% and 40% of the total load for the year. We look at the overall energy exchange between a region and the rest of the system (net interchange, NI), and find it useful to examine separately (i) (time-)variable and (ii) year-average components of the NI. Both contribute to inter-regional energy exchange, and are affected by wind and PV generation in the system. We find that net load variability (in relatively large portions of WECC) is the leading factor affecting the variable component of inter-regional energy exchange, and the effect is quantifiable: higher regional net load correlation with the rest of the WECC lowers net interchange variability. Further, as the power mix significantly varies between WECC regions, effects of ‘flexibility import’ (regions ‘borrow’ ramping capability) are also observed.

  2. Net-shape fabrication of Y-TZP ceramic through a statistically designed experiment

    SciTech Connect (OSTI)

    Ghosh, S.K.; Chatterjee, D.K.; Koziol, D.R.; Majumdar, D.

    1993-11-01

    Net-shape yttria-doped tetragonal zirconia polycrystal (Y-TZP) ceramic articles of various shapes and dimensions were fabricated using 15 000 psi uniaxial pressure and 1500 C sintering temperature. A statistically designed experiment was conducted to determine the parameters for uniaxial pressure as well as sintering temperature so that shrinkage and dimensions of the sintered parts could be controlled. Shrinkage rate, density, and dimensional tolerance of the articles were greatly influenced by the compacting pressure and the sintering temperature.

  3. FY 2003 Generation Audited Accumlated Net Revenues, March 2004

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

    3rd Quarter Review Forecast FY 2003 Actual Results 1 FY 2000 PBL Actual Modified Net Revenue 252 252 2 Energy Northwest Debt Service Adjustment for FY 2000 (82) (82) 3 SFAS...

  4. Community Net Energy Metering: How Novel Policies Expand Benefits of Net Metering to Non-Generators

    SciTech Connect (OSTI)

    Rose, James; Varnado, Laurel

    2009-04-01

    As interest in community solutions to renewable energy grows, more states are beginning to develop policies that encourage properties with more than one meter to install shared renewable energy systems. State net metering policies are evolving to allow the aggregation of multiple meters on a customer???¢????????s property and to dissolve conventional geographical boundaries. This trend means net metering is expanding out of its traditional function as an enabling incentive to offset onsite customer load at a single facility. This paper analyzes community net energy metering (CNEM) as an emerging vehicle by which farmers, neighborhoods, and municipalities may more easily finance and reap the benefits of renewable energy. Specifically, it aims to compare and contrast the definition of geographical boundaries among different CNEM models and examine the benefits and limitations of each approach. As state policies begin to stretch the geographic boundaries of net metering, they allow inventive solutions to encourage renewable energy investment. This paper attempts to initiate the conversation on this emerging policy mechanism and offers recommendations for further development of these policies.

  5. Net Metering

    Broader source: Energy.gov [DOE]

    Ohio's net-metering law requires electric distribution utilities to offer net metering to customers who generate electricity using wind energy, solar energy, biomass, landfill gas, hydropower, fu...

  6. Statistical scaling of geometric characteristics in stochastically generated pore microstructures

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

    Hyman, Jeffrey D.; Guadagnini, Alberto; Winter, C. Larrabee

    2015-05-21

    In this study, we analyze the statistical scaling of structural attributes of virtual porous microstructures that are stochastically generated by thresholding Gaussian random fields. Characterization of the extent at which randomly generated pore spaces can be considered as representative of a particular rock sample depends on the metrics employed to compare the virtual sample against its physical counterpart. Typically, comparisons against features and/patterns of geometric observables, e.g., porosity and specific surface area, flow-related macroscopic parameters, e.g., permeability, or autocorrelation functions are used to assess the representativeness of a virtual sample, and thereby the quality of the generation method. Here, wemore » rely on manifestations of statistical scaling of geometric observables which were recently observed in real millimeter scale rock samples [13] as additional relevant metrics by which to characterize a virtual sample. We explore the statistical scaling of two geometric observables, namely porosity (Φ) and specific surface area (SSA), of porous microstructures generated using the method of Smolarkiewicz and Winter [42] and Hyman and Winter [22]. Our results suggest that the method can produce virtual pore space samples displaying the symptoms of statistical scaling observed in real rock samples. Order q sample structure functions (statistical moments of absolute increments) of Φ and SSA scale as a power of the separation distance (lag) over a range of lags, and extended self-similarity (linear relationship between log structure functions of successive orders) appears to be an intrinsic property of the generated media. The width of the range of lags where power-law scaling is observed and the Hurst coefficient associated with the variables we consider can be controlled by the generation parameters of the method.« less

  7. Statistical scaling of geometric characteristics in stochastically generated pore microstructures

    SciTech Connect (OSTI)

    Hyman, Jeffrey D.; Guadagnini, Alberto; Winter, C. Larrabee

    2015-05-21

    In this study, we analyze the statistical scaling of structural attributes of virtual porous microstructures that are stochastically generated by thresholding Gaussian random fields. Characterization of the extent at which randomly generated pore spaces can be considered as representative of a particular rock sample depends on the metrics employed to compare the virtual sample against its physical counterpart. Typically, comparisons against features and/patterns of geometric observables, e.g., porosity and specific surface area, flow-related macroscopic parameters, e.g., permeability, or autocorrelation functions are used to assess the representativeness of a virtual sample, and thereby the quality of the generation method. Here, we rely on manifestations of statistical scaling of geometric observables which were recently observed in real millimeter scale rock samples [13] as additional relevant metrics by which to characterize a virtual sample. We explore the statistical scaling of two geometric observables, namely porosity (?) and specific surface area (SSA), of porous microstructures generated using the method of Smolarkiewicz and Winter [42] and Hyman and Winter [22]. Our results suggest that the method can produce virtual pore space samples displaying the symptoms of statistical scaling observed in real rock samples. Order q sample structure functions (statistical moments of absolute increments) of ? and SSA scale as a power of the separation distance (lag) over a range of lags, and extended self-similarity (linear relationship between log structure functions of successive orders) appears to be an intrinsic property of the generated media. The width of the range of lags where power-law scaling is observed and the Hurst coefficient associated with the variables we consider can be controlled by the generation parameters of the method.

  8. Net Metering

    Broader source: Energy.gov [DOE]

    There is no stated limit on the aggregate capacity of net-metered systems in a utility's service territory. Any net excess generation (NEG) during a monthly billing period is carried over to the...

  9. Net Metering

    Broader source: Energy.gov [DOE]

    Net excess generation (NEG) is credited to the customer's next monthly bill. The customer may choose to start the net metering period at the beginning of January, April, July or October to match...

  10. Quantum Statistical Testing of a Quantum Random Number Generator

    SciTech Connect (OSTI)

    Humble, Travis S

    2014-01-01

    The unobservable elements in a quantum technology, e.g., the quantum state, complicate system verification against promised behavior. Using model-based system engineering, we present methods for verifying the opera- tion of a prototypical quantum random number generator. We begin with the algorithmic design of the QRNG followed by the synthesis of its physical design requirements. We next discuss how quantum statistical testing can be used to verify device behavior as well as detect device bias. We conclude by highlighting how system design and verification methods must influence effort to certify future quantum technologies.

  11. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering in Virginia is available on a first-come, first-served basis until the rated generating capacity owned and operated by customer-generators reaches 1% of an electric distribution...

  12. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available on a first-come, first-served basis until the cumulative generating capacity of net-metered systems equals 0.5% of a utility’s peak demand during 1996.* At least one-half...

  13. Net Metering

    Broader source: Energy.gov [DOE]

    Customer net excess generation (NEG) is carried forward at the utility's retail rate (i.e., as a kilowatt-hour credit) to a customer's next bill for up to 12 months. At the end of a 12-month...

  14. Net Metering

    Broader source: Energy.gov [DOE]

    In Delaware, net metering is available to any customer that generates electricity using solar, wind or hydro resources, anaerobic digesters, or fuel cells capable of being powered by renewable fu...

  15. Net Metering

    Broader source: Energy.gov [DOE]

    Utah law requires their only investor-owned utility, Rocky Mountain Power (RMP), and most electric cooperatives* to offer net metering to customers who generate electricity using solar energy, wi...

  16. Net Metering

    Broader source: Energy.gov [DOE]

    Net excess generation (NEG) is treated as a kilowatt-hour (kWh) credit or other compensation on the customer's following bill.* At the beginning of the calendar year, a utility will purchase any...

  17. Proposal of a new generation of Laser Beacon for time calibration in the KM3NeT neutrino telescope

    SciTech Connect (OSTI)

    Real, Diego [IFIC, Instituto de Fsica Corpuscular, CSIC-Universidad de Valencia, C Collaboration: KM3NeT Collaboration

    2014-11-18

    The KM3NeT collaboration aims at the construction of a multi-km3 high-energy neutrino telescope in the Mediterranean Sea consisting of a matrix of pressure resistant glass spheres holding each a set (31) of small area photomultipliers. The main motivation of the telescope is to observe cosmic neutrinos through the Cherenkov light induced in sea water by charged particles produced in neutrino interactions with the surrounding medium. A relative time calibration between photomultipliers of the order of 1 ns is required to achieve an optimal performance. To this end, several time calibration subsystems have been developed. In this article, the proposal of a last generation Laser Beacon, to be used in KM3NeT and developed to measure and monitor the relative time offsets between photomultipliers, is presented.

  18. Net Metering Resources | Department of Energy

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

    Net Metering Resources Net Metering Resources State net metering policies allow customers to produce onsite electricity and sell excess generation to the utility at a set price,...

  19. Net Metering

    Broader source: Energy.gov [DOE]

    Note: Illinois is currently undergoing a rulemaking that would change its existing net metering rules. The proposed rules include provisions clarifying virtual net metering policies, facilitating...

  20. Net Metering

    Broader source: Energy.gov [DOE]

    Kansas adopted the Net Metering and Easy Connection Act in May 2009, which established net metering for customers of investor-owned utilities (IOUs). 

  1. Net Metering

    Broader source: Energy.gov [DOE]

    NOTE: On October 21, 2015, the NY Public Service Commission denied the Orange and Rockland Utility’s petition to cease offering net-metering and interconnections once the 6% net-metering cap was...

  2. Net Metering

    Broader source: Energy.gov [DOE]

    New Jersey's net-metering rules require state's investor-owned utilities and energy suppliers (and certain competitive municipal utilities and electric cooperatives) to offer net metering at non-...

  3. Net Metering

    Broader source: Energy.gov [DOE]

    Note: In January 2016, the California Public Utilities Commission issued a ruling on its net metering successor tariff. Customers on the new net metering successor tariff will have to pay an...

  4. Net Metering

    Broader source: Energy.gov [DOE]

    Note: On October 12th, 2015 the Hawaii PUC voted to end net metering in favor of 3 alternative options: a grid supply option, a self-supply option, and a time of use tariff. Customers with net...

  5. Net Metering

    Broader source: Energy.gov [DOE]

    NOTE: Although, this post is categorized as netmetering, the policy adopted by MS does not meet DSIRE's standards for a typical net metering policy. Net metering policy allows a customer to offset...

  6. Net Metering | Department of Energy

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

    the limit on individual system size from 100 kilowatts (kW) to 1 MW . Net Excess Generation: The District's net-metering rules specify that metering equipment must be capable...

  7. Avista Utilities- Net Metering

    Broader source: Energy.gov [DOE]

    For Avista Utilities customers, any net excess generation (NEG) during a monthly billing period is credited to the customer's next bill at the utility's retail rate. At the beginning of each ca...

  8. EWEB- Net Metering

    Broader source: Energy.gov [DOE]

    The Eugene Water and Electric Board (EWEB) offers net metering for customers with renewable energy generation systems with an installed capacity of 25 kW or less. Eligible systems use solar power,...

  9. Net Metering

    Broader source: Energy.gov [DOE]

    Missouri enacted legislation in June 2007 requiring all electric utilities—investor-owned utilities, municipal utilities, and electric cooperatives—to offer net metering to customers with systems...

  10. Net Metering Policy Development and Distributed Solar Generation in Minnesota: Overview of Trends in Nationwide Policy Development and Implications of Increasing the Eligible System Size Cap

    SciTech Connect (OSTI)

    Doris, E.; Busche, S.; Hockett, S.

    2009-12-01

    The goal of the Minnesota net metering policy is to give the maximum possible encouragement to distributed generation assets, especially solar electric systems (MN 2008). However, according to a published set of best practices (NNEC 2008) that prioritize the maximum development of solar markets within states, the Minnesota policy does not incorporate many of the important best practices that may help other states transform their solar energy markets and increase the amount of grid-connected distributed solar generation assets. Reasons cited include the low system size limit of 40kW (the best practices document recommends a 2 MW limit) and a lack of language protecting generators from additional utility fees. This study was conducted to compare Minnesota's policies to national best practices. It provides an overview of the current Minnesota policy in the context of these best practices and other jurisdictions' net metering policies, as well as a qualitative assessment of the impacts of raising the system size cap within the policy based on the experiences of other states.

  11. Net Metering | Department of Energy

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

    of retail renewable distributed generation and net metering. Details will be posted once a final order is issued. Eligibility and Availability In December 2005 the Colorado...

  12. Net Metering | Department of Energy

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

    who generate electricity using solar, wind, hydroelectric, geothermal, biomass, biogas, combined heat and power, or fuel cell technologies.* A net metering facility must be...

  13. Table 8.2c Electricity Net Generation: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.2b; Thousand Kilowatthours)

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

    c Electricity Net Generation: Electric Power Sector by Plant Type, 1989-2011 (Breakout of Table 8.2b; Thousand Kilowatthours) Year Fossil Fuels Nuclear Electric Power Hydro- electric Pumped Storage 5 Renewable Energy Other 10 Total Coal 1 Petroleum 2 Natural Gas 3 Other Gases 4 Total Conventional Hydroelectric Power 6 Biomass Geo- thermal Solar/ PV 9 Wind Total Wood 7 Waste 8 Electricity-Only Plants 11<//td> 1989 1553997999 158,347,542 266,917,576 – 1,979,263,117 529,354,717 [6]

  14. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available to all "qualifying facilities" (QFs), as defined by the federal Public Utility Regulatory Policies Act of 1978 (PURPA), which pertains to renewable energy systems and co...

  15. Net Metering

    Broader source: Energy.gov [DOE]

     NOTE: The program website listed above links to the Maryland Public Service Commission's Net Metering Working Group page, which contains a variety of information resources related to the ongoing...

  16. Net Metering

    Broader source: Energy.gov [DOE]

    North Dakota's net-metering policy, adopted in 1991 by the state Public Service Commission (PSC), applies to renewable-energy systems and combined heat and power (CHP) systems up to 100 kilowatts...

  17. Net Metering

    Broader source: Energy.gov [DOE]

    Iowa's statutes do not explicitly authorize the Iowa Utilities Board (IUB) to mandate net metering, but this authority is implicit through the board's enforcement of PURPA and Iowa Code § 476.41 ...

  18. Net Metering

    Broader source: Energy.gov [DOE]

    In October 2008, Michigan enacted P.A. 295, requiring the Michigan Public Service Commission (MPSC) to establish a statewide net metering program for renewable energy systems. On May 26, 2009 the...

  19. Net Metering

    Broader source: Energy.gov [DOE]

    With these regulations, renewable energy systems with a capacity up to 25 kilowatts (kW) are eligible for net metering. Overall enrollment is limited to 1.5% of a utility's retail sales from the...

  20. Net Metering

    Broader source: Energy.gov [DOE]

    NOTE: On February 2016, the PA Public Service Commission (PUC) issued a final rulemaking order amending net metering regulations to provide clarity and to comply with the statutes. Changes include...

  1. Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available to all customers of investor-owned utilities and rural electric cooperatives, exempting TVA utilities. Kentucky's requires the use of a single, bi-directional meter for...

  2. Net Metering

    Broader source: Energy.gov [DOE]

    Nevada's original net-metering law for renewable-energy systems was enacted in 1997 and amended in 2001, 2003, 2005, 2007, 2011, 2013, and 2015. Systems up to one megawatt (MW) in capacity that...

  3. Net Metering

    Broader source: Energy.gov [DOE]

    In April 2001, Arkansas enacted legislation (HB 2325) directing the Arkansas Public Service Commission (PSC) to establish net-metering rules for certain renewable-energy systems.* The PSC approved...

  4. The Statistical Evolution of Multiple Generations of Oxidation Products in the Photochemical Aging of Chemically Reduced Organic Aerosol

    SciTech Connect (OSTI)

    Wilson, Kevin R.; Smith, Jared D.; Kessler, Sean; Kroll, Jesse H.

    2011-10-03

    The heterogeneous reaction of hydroxyl radicals (OH) with squalane and bis(2-ethylhexyl) sebacate (BES) particles are used as model systems to examine how distributions of reactionproducts evolve during the oxidation of chemically reduced organic aerosol. A kinetic model of multigenerational chemistry, which is compared to previously measured (squalane) and new(BES) experimental data, reveals that it is the statistical mixtures of different generations of oxidation products that control the average particle mass and elemental composition during thereaction. The model suggests that more highly oxidized reaction products, although initially formed with low probability, play a large role in the production of gas phase reaction products.In general, these results highlight the importance of considering atmospheric oxidation as a statistical process, further suggesting that the underlying distribution of molecules could playimportant roles in aerosol formation as well as in the evolution of key physicochemical properties such as volatility and hygroscopicity.

  5. Blue Ridge EMC- Net Metering

    Broader source: Energy.gov [DOE]

    The Blue Ridge Electric Membership Corporation offers net metering to its residential customers with solar photovoltaic, wind, or micro-hydro generators up to 25 kilowatts. There is no aggregate...

  6. Rocky Mountain Power- Net Metering

    Broader source: Energy.gov [DOE]

    For residential and small commercial customers, net excess generation (NEG) is credited at Rocky Mountain Power's retail rate and carried forward to the next month. For larger commercial and...

  7. Palau- Net Metering

    Broader source: Energy.gov [DOE]

    The Palau Net Metering Act of 2009 established net metering on the Island of Palau. Net metering was implemented in order to:

  8. NetCDF

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

    NetCDF NetCDF NetCDF NetCDF (network Common Data Form) is a set of libraries and machine-independent data formats for creation, access, and sharing of array-oriented scientific...

  9. ,"Weekly Blender Net Production"

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

    Blender Net Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Weekly Blender Net ...

  10. Murray City Power- Net Metering Pilot Program

    Broader source: Energy.gov [DOE]

    Under a pilot program, Murray City Power offers net metering to customers that generate electricity using photovoltaic (PV), wind-electric or hydroelectric systems with a maximum capacity of 10...

  11. Weekly Blender Net Production

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

    Blender Net Production (Thousand Barrels per Day) Period: Weekly 4-Week Average Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & ...

  12. SRP- Net Metering

    Broader source: Energy.gov [DOE]

    Note: Salt River Project (SRP) modified its existing net-metering program for residential customers in February 2015. These changes are effective with the April 2015 billing cycle.

  13. Campo Net Meter Project

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

    Campo Net Meter Project Michael Connolly Miskwish, MA EconomistEngineer Campo Kumeyaay Nation Location map Tribal Energy Planning Current 50 MW project Proposed 160 MW ...

  14. LADWP- Net Metering

    Broader source: Energy.gov [DOE]

    LADWP allows its customers to net meter their photovoltaic (PV), wind, and hybrid systems with a capacity of not more than one megawatt. LADWP will provide the necessary metering equipment unless...

  15. Idaho Power- Net Metering

    Office of Energy Efficiency and Renewable Energy (EERE)

    In July 2013, the PUC issued an order in response to Idaho Power's application to modify its net metering program. The ruling removed a previously existing service capacity cap of 2.9 MW and chan...

  16. SpawnNet

    Energy Science and Technology Software Center (OSTI)

    2014-12-23

    SpawnNet provides a networking interface similar to Linux sockets that runs natively on High-performance network interfaces. It is intended to be used to bootstrap parallel jobs and communication libraries like MPI.

  17. NetCDF

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

    and Overview NetCDF (Network Common Data Form) is a set of software libraries and machine-independent data formats that support the creation, access, and sharing of...

  18. Austin Energy- Net Metering

    Broader source: Energy.gov [DOE]

    Austin Energy, the municipal utility of Austin Texas, offers net metering to its non-residential retail electricity customers for renewable energy systems up to 20 kilowatts (kW). Austin Energy o...

  19. 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

  20. Guam- Net Metering

    Broader source: Energy.gov [DOE]

    Note: As of October 2015, the net metering program had around 700 customers. According to the Guam Daily Post, the program is expected to reach the current 1,000-customer cap in mid-2016. This cap...

  1. Net Energy Billing

    Broader source: Energy.gov [DOE]

    Note: On June 30, 2015, the Maine legislature enacted L.D. 1263/H.P. 863, directing the Public Utilities Commission to convene a stakeholder group to develop an alternative to net energy billing.

  2. PSEG Long Island- Net Metering

    Broader source: Energy.gov [DOE]

    Although PSEG Long Island’s net metering policy is not governed by the State’s net metering law, the provisions are similar to the State law. Net metering is available for residential, non-reside...

  3. Net Metering | Open Energy Information

    Open Energy Info (EERE)

    Gas Wind Biomass Geothermal Electric Anaerobic Digestion Small Hydroelectric Tidal Energy Wave Energy No Ashland Electric - Net Metering (Oregon) Net Metering Oregon Commercial...

  4. Grid Net | Open Energy Information

    Open Energy Info (EERE)

    Grid Net Jump to: navigation, search Name: Grid Net Address: 340 Brannan St Place: San Francisco, California Zip: 94107 Region: Bay Area Sector: Efficiency Product: Sells open,...

  5. Statistical Sciences

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

    6 Statistical Sciences Applying statistical reasoning and rigor to multidisciplinary scientific investigations Contact Us Group Leader Joanne Wendelberger Email Deputy Group Leader James R. Gattiker Email Group Administrator LeeAnn Martinez (505) 667-3308 Email Statistical Sciences Statistical Sciences provides statistical reasoning and rigor to multidisciplinary scientific investigations and development, application, and communication of cutting-edge statistical sciences research. Statistical

  6. OpenNet Training | Department of Energy

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

    OpenNet Training OpenNet Training Training Instructions for Submitting Document to OpenNet Reference OpenNet

  7. Usage Statistics

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

    Usage Statistics Usage Statistics Genepool Cluster Statistics Period: daily weekly monthly quarter yearly 2year Utilization By Group Jobs Pending Last edited: 2013-09-26 18:21:13...

  8. APS Operational Statistics

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

    Downtime Log Yearly Operation Statistics 2016 Statistics 2015 Statistics 2014 Statistics 2013 Statistics 2012 Statistics 2011 Statistics 2010 Statistics 2009 Statistics 2008...

  9. Grays Harbor PUD- Net Metering

    Broader source: Energy.gov [DOE]

    Washington's original net-metering law, which applies to all electric utilities, was enacted in 1998 and amended in 2006. Individual systems are limited to 100 kilowatts (kW) in capacity. Net...

  10. Montana Electric Cooperatives- Net Metering

    Broader source: Energy.gov [DOE]

    The Montana Electric Cooperatives' Association (MECA) adopted model interconnection guidelines in 2001 and a revised net-metering policy in September 2008. Net metering is available in whole or...

  11. Washington City Power- Net Metering

    Broader source: Energy.gov [DOE]

    Washington City adopted a net-metering program, including interconnection procedures, in January 2008, and updated the policy in December 2014.* Net metering is available to any customer of...

  12. N. Mariana Islands- Net Metering

    Broader source: Energy.gov [DOE]

    Note: The Commonwealth Utility Corporation issued a moratorium on net metering. However, Public Law 18-62 signed September 6, 2014 states that net metering should be available to all residential...

  13. ARM - Time in ARM NetCDF Files

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

    govDataTime in ARM NetCDF Files Page Contents Introduction Time Zones Epoch Time Time Variables Conversion Examples and Hints Perl Example C Example Fortran Example IDL Example Notes on Generating Epoch Times Contact Information Time in ARM NetCDF Files Introduction This document explains most of the issues related to the use of time in ARM netCDF data files. Time Zones All ARM netCDF files are in UTC. Note that this has some implications for solar-based data; we tend to split our files at

  14. Net-Zero Energy Retail Store Debuts in Illinois

    Broader source: Energy.gov [DOE]

    Walgreens on November 21 opened a net-zero energy retail store in Evanston, Illinois that it anticipates will generate at least as much energy as it consumes over the course of a year.

  15. Cluster Statistics

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

    Statistics Cluster Statistics Ganglia Ganglia can be used to monitor performance of PDSF nodes... Read More PDSF IO Monitoring This page shows the IO response of the elizas and...

  16. Weekly Refiner Net Production

    Gasoline and Diesel Fuel Update (EIA)

    Net Production (Thousand Barrels per Day) Period: Weekly 4-Week Average Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Product/Region 02/05/16 02/12/16 02/19/16 02/26/16 03/04/16 03/11/16 View History Finished Motor Gasoline 1,708 1,811 1,620 1,497 1,512 1,554 2010-2016 East Coast (PADD 1) 64 59 65 68 71 64 2010-2016 Midwest (PADD 2) 350 361 354 363 367 347 2010-2016 Gulf Coast (PADD 3) 1,050 1,097 909 778 795 808 2010-2016 Rocky

  17. OglNet

    Energy Science and Technology Software Center (OSTI)

    2010-03-10

    OglNet is designed to capture and visualize network packets as they move from their source to intended destination. This creates a three dimensional representation of an active network and can show misconfigured components, potential security breaches and possible hostile network traffic. This visual representation is customizable by the user and also includes how network components interact with servers around the world. The software is able to process live or real time traffic feeds as wellmore » as offline historical network packet captures. As packets are read into the system, they are processed and visualized in an easy to understand display that includes network names, IP addresses, and global positioning. The software can process and display up to six million packets per second.« less

  18. Road to Net Zero (Presentation)

    SciTech Connect (OSTI)

    Glover, B.

    2011-05-01

    A PowerPoint presentation on NREL's Research Support Facility (RSF) and the road to achieving net zero energy for new construction.

  19. Net Metering | Department of Energy

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

    Anaerobic Digestion Fuel Cells using Renewable Fuels Program Info Sector Name State State North Carolina Program Type Net Metering Summary The North Carolina Utilities Commission...

  20. Net Metering | Department of Energy

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

    after 12312014) are eligible. Net-metered systems must be intended primarily to offset part or all of a customer's electricity requirements. Public utilities may not limit...

  1. FY 2004 Second Quarter Review Forecast of Generation Accumulated...

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

    Bonneville Power Administration Power Business Line Generation (PBL) Accumulated Net Revenue Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net...

  2. PBL FY 2003 Third Quarter Review Forecast of Generation Accumulated...

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

    2003 Bonneville Power Administration Power Business Line Generation Accumulated Net Revenue Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net...

  3. SensorNet Node Suite

    Energy Science and Technology Software Center (OSTI)

    2004-09-01

    The software in the SensorNet Node adopts and builds on IEEE 1451 interface principles to read data from and control sensors, stores the data in internal database structures, and transmits it in adapted Web Feature Services protocol packets to the SensorNet database. Failover software ensures that at least one available mode of communication remains alive.

  4. Status of Net Metering: Assessing the Potential to Reach Program Caps

    SciTech Connect (OSTI)

    Heeter, J.; Gelman, R.; Bird, L.

    2014-09-01

    Several states are addressing the issue of net metering program caps, which limit the total amount of net metered generating capacity that can be installed in a state or utility service territory. In this analysis, we examine net metering caps to gain perspective on how long net metering will be available in various jurisdictions under current policies. We also surveyed state practices and experience to understand important policy design considerations.

  5. Status of Net Metering: Assessing the Potential to Reach Program Caps (Poster)

    SciTech Connect (OSTI)

    Heeter, J.; Bird, L.; Gelman, R.

    2014-10-01

    Several states are addressing the issue of net metering program caps, which limit the total amount of net metered generating capacity that can be installed in a state or utility service territory. In this analysis, we examine net metering caps to gain perspective on how long net metering will be available in various jurisdictions under current policies. We also surveyed state practices and experience to understand important policy design considerations.

  6. TacNet Tracker Software

    Energy Science and Technology Software Center (OSTI)

    2008-08-04

    The TacNet Tracker will be used for the monitoring and real-time tracking of personnel and assets in an unlimited number of specific applications. The TacNet Tracker software is a VxWorks Operating System based programming package that controls the functionality for the wearable Tracker. One main use of the TacNet Tracker is in Blue Force Tracking, the ability to track the good guys in an adversarial situation or in a force-on-force or real battle conditions. Themore » purpose of blue force tracking is to provide situational awareness to the battlefield commanders and personnel. There are practical military applications with the TacNet Tracker.The mesh network is a wireless IP communications network that moves data packets from source IP addresses to specific destination IP addresses. Addresses on the TacNet infrastructure utilize an 8-bit network mask (255.0.0.0). In other words, valid TacNet addresses range from 10.0.0.1 to 10.254.254.254. The TacNet software design uses uni-cast transmission techniques because earlier mesh network software releases did not provide for the ability to utilize multi-cast data movement. The TacNet design employs a list of addresses to move information within the TacNet infrastructure. For example, a convoy text file containing the IP addresses of all valid receivers of TacNet information could be used for transmitting the information and for limiting transmission to addresses on the list.« less

  7. Los Alamos researcher nets Presidential Early Career Award

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

    Researcher nets Presidential Early Career Award Los Alamos researcher nets Presidential Early Career Award Evgenya Simakov has been named by President Barack Obama as a recipient of the Presidential Early Career Award for Scientists and Engineers. September 28, 2011 Evgenya Simakov Evgenya Simakov Contact James Rickman Communications Office (505) 665-9203 Email LANL's Simakov working on next generation of particle accelerators LOS ALAMOS, New Mexico, September 28, 2011-Los Alamos National

  8. Cluster Statistics

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

    Genepool Memory Heatmaps Usage Statistics UGE Scheduler Cycle Time File storage and I/O Data Management Supported Systems FAQ Performance and Optimization Genepool Completed Jobs Genepool Training and Tutorials Websites, databases and cluster services Testbeds Retired Systems Storage & File Systems Data & Analytics Connecting to NERSC Queues and Scheduling Job Logs & Statistics Application Performance Training & Tutorials Software Policies User Surveys NERSC Users Group User

  9. Net Metering | Department of Energy

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

    commercial) as long as the base requirements are met. All net-metered facilities must be behind a customer's meter, but only a minimal amount of load located on-site is required....

  10. Net Metering | Department of Energy

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

    Renewable energy facilities established on military property for on-site military consumption may net meter for systems up to 2.2 megawatts (MW, AC). Aggregate Capacity Limit...

  11. Net Zero Energy Installations (Presentation)

    SciTech Connect (OSTI)

    Booth, S.

    2012-05-01

    A net zero energy installation (NZEI) is one that produces as much energy from on-site renewable sources as it consumes. NZEI assessment provides a systematic approach to energy projects.

  12. Valley Electric Association- Net Metering

    Broader source: Energy.gov [DOE]

    The Board of Directors for Valley Electric Association (VEA) approved net metering in April 2008. The rules apply to systems up to 30 kW, though owners of larger systems may be able to negotiate...

  13. Table 1. 2013 Summary statistics

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

    Alabama" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",32353,9 "Electric utilities",23419,7 "IPP & CHP",8934,11 "Net generation (megawatthours)",150572924,6 "Electric utilities",115027021,3 "IPP & CHP",35545903,11 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",144568,9 "Nitrogen oxide

  14. Table 1. 2013 Summary statistics

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

    Arkansas" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",14786,29 "Electric utilities",11559,23 "IPP & CHP",3227,31 "Net generation (megawatthours)",60322492,25 "Electric utilities",46547772,21 "IPP & CHP",13774720,27 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",88811,16 "Nitrogen oxide

  15. Table 1. 2013 Summary Statistics

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

    Florida" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",58781,3 "Electric utilities",50967,1 "IPP & CHP",7813,15 "Net generation (megawatthours)",222398924,3 "Electric utilities",202527297,1 "IPP & CHP",19871627,18 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",117797,12 "Nitrogen

  16. Table 1. 2013 Summary Statistics

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

    Georgia" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",38210,7 "Electric utilities",28875,2 "IPP & CHP",9335,10 "Net generation (megawatthours)",120953734,10 "Electric utilities",107082884,4 "IPP & CHP",13870850,26 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",123735,10 "Nitrogen

  17. Table 1. 2013 Summary Statistics

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

    Hawaii" "Item","Value","Rank" "Primary energy source","Petroleum", "Net summer capacity (megawatts)",2757,47 "Electric utilities",1821,40 "IPP & CHP",937,45 "Net generation (megawatthours)",10267052,45 "Electric utilities",5748256,40 "IPP & CHP",4518796,40 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",20710,33 "Nitrogen oxide

  18. Table 1. 2013 Summary Statistics

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

    Idaho" "Item","Value","Rank" "Primary energy source","Hydroelectric", "Net summer capacity (megawatts)",4924,42 "Electric utilities",3394,37 "IPP & CHP",1530,39 "Net generation (megawatthours)",15186128,43 "Electric utilities",9600216,36 "IPP & CHP",5585912,39 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",6565,42 "Nitrogen oxide

  19. Table 1. 2013 Summary Statistics

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

    Illinois" "Item","Value","Rank" "Primary energy source","Nuclear", "Net summer capacity (megawatts)",44950,4 "Electric utilities",5269,35 "IPP & CHP",39681,4 "Net generation (megawatthours)",203004919,4 "Electric utilities",11571734,35 "IPP & CHP",191433185,3 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",203951,6 "Nitrogen oxide

  20. Table 1. 2013 Summary Statistics

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

    Indiana" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",27196,14 "Electric utilities",23309,8 "IPP & CHP",3888,24 "Net generation (megawatthours)",110403477,13 "Electric utilities",96047678,7 "IPP & CHP",14355799,23 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",273718,4 "Nitrogen oxide

  1. Table 1. 2013 Summary Statistics

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

    Iowa" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",15929,25 "Electric utilities",12092,21 "IPP & CHP",3837,26 "Net generation (megawatthours)",56670757,27 "Electric utilities",41932708,26 "IPP & CHP",14738048,22 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",106879,14 "Nitrogen oxide

  2. Table 1. 2013 Summary Statistics

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

    Kansas" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",14244,31 "Electric utilities",11485,24 "IPP & CHP",2759,33 "Net generation (megawatthours)",48472581,32 "Electric utilities",39808763,28 "IPP & CHP",8663819,32 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",30027,30 "Nitrogen oxide

  3. Table 1. 2013 Summary Statistics

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

    Kentucky" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",21004,21 "Electric utilities",19599,16 "IPP & CHP",1405,40 "Net generation (megawatthours)",89741021,18 "Electric utilities",89098127,11 "IPP & CHP",642894,50 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",190782,7 "Nitrogen oxide

  4. Table 1. 2013 Summary Statistics

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

    Louisiana" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",26228,15 "Electric utilities",17297,17 "IPP & CHP",8931,12 "Net generation (megawatthours)",102010177,15 "Electric utilities",56226016,17 "IPP & CHP",45784161,8 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",122578,11

  5. Table 1. 2013 Summary Statistics

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

    Maine" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",4499,43 "Electric utilities",14,49 "IPP & CHP",4485,21 "Net generation (megawatthours)",14030038,44 "Electric utilities",597,49 "IPP & CHP",14029441,25 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",13365,38 "Nitrogen oxide (short

  6. Table 1. 2013 Summary Statistics

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

    Massachusetts" "Item","Value","Rank" "Primary energy source","Natural Gas", "Net summer capacity (megawatts)",13678,32 "Electric utilities",969,42 "IPP & CHP",12709,7 "Net generation (megawatthours)",32885021,40 "Electric utilities",611320,44 "IPP & CHP",32273700,12 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",12339,40 "Nitrogen

  7. Table 1. 2013 Summary Statistics

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

    Michigan" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",30128,11 "Electric utilities",22148,9 "IPP & CHP",7981,14 "Net generation (megawatthours)",105417801,14 "Electric utilities",83171310,13 "IPP & CHP",22246490,14 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",237091,5 "Nitrogen oxide

  8. Table 1. 2013 Summary Statistics

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

    Mississippi" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",15561,28 "Electric utilities",12842,20 "IPP & CHP",2719,35 "Net generation (megawatthours)",52810264,29 "Electric utilities",45413403,23 "IPP & CHP",7396861,35 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",87718,17

  9. Table 1. 2013 Summary Statistics

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

    Missouri" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",21801,19 "Electric utilities",20562,15 "IPP & CHP",1239,42 "Net generation (megawatthours)",91626593,17 "Electric utilities",89217205,10 "IPP & CHP",2409387,46 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",157488,8 "Nitrogen oxide

  10. Table 1. 2013 Summary Statistics

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

    Montana" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",6329,41 "Electric utilities",2568,38 "IPP & CHP",3761,27 "Net generation (megawatthours)",27687326,41 "Electric utilities",7361898,38 "IPP & CHP",20325428,16 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",16865,36 "Nitrogen oxide

  11. Table 1. 2013 Summary Statistics

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

    Nebraska" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",8449,36 "Electric utilities",7911,30 "IPP & CHP",538,49 "Net generation (megawatthours)",37104628,34 "Electric utilities",35170167,30 "IPP & CHP",1934461,48 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",66884,22 "Nitrogen oxide

  12. Table 1. 2013 Summary Statistics

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

    Nevada" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",10652,34 "Electric utilities",7915,29 "IPP & CHP",2737,34 "Net generation (megawatthours)",36443874,35 "Electric utilities",27888008,34 "IPP & CHP",8555866,33 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",7436,41 "Nitrogen oxide

  13. Table 1. 2013 Summary Statistics

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

    Hampshire" "Item","Value","Rank" "Primary energy source","Nuclear", "Net summer capacity (megawatts)",4413,44 "Electric utilities",1121,41 "IPP & CHP",3292,30 "Net generation (megawatthours)",19778520,42 "Electric utilities",2266903,41 "IPP & CHP",17511617,20 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",3733,44 "Nitrogen oxide

  14. Table 1. 2013 Summary Statistics

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

    Jersey" "Item","Value","Rank" "Primary energy source","Nuclear", "Net summer capacity (megawatts)",18997,22 "Electric utilities",544,43 "IPP & CHP",18452,6 "Net generation (megawatthours)",64750942,24 "Electric utilities",-122674,50 "IPP & CHP",64873616,6 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",3196,46 "Nitrogen oxide

  15. Table 1. 2013 Summary Statistics

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

    Mexico" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",7938,38 "Electric utilities",5912,33 "IPP & CHP",2026,36 "Net generation (megawatthours)",35870965,36 "Electric utilities",29833095,33 "IPP & CHP",6037870,37 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",17735,34 "Nitrogen oxide (short

  16. Table 1. 2013 Summary Statistics

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

    York" "Item","Value","Rank" "Primary energy source","Natural Gas", "Net summer capacity (megawatts)",39918,6 "Electric utilities",10736,26 "IPP & CHP",29182,5 "Net generation (megawatthours)",136116830,8 "Electric utilities",33860490,31 "IPP & CHP",102256340,5 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",30947,29 "Nitrogen oxide

  17. Table 1. 2013 Summary Statistics

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

    Carolina" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",30048,12 "Electric utilities",26706,6 "IPP & CHP",3342,29 "Net generation (megawatthours)",125936293,9 "Electric utilities",116317050,2 "IPP & CHP",9619243,31 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",71293,20 "Nitrogen oxide

  18. Table 1. 2013 Summary Statistics

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

    Dakota" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",6566,40 "Electric utilities",5292,34 "IPP & CHP",1274,41 "Net generation (megawatthours)",35021673,39 "Electric utilities",31044374,32 "IPP & CHP",3977299,42 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",56854,23 "Nitrogen oxide (short

  19. Table 1. 2013 Summary Statistics

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

    Ohio" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",32482,8 "Electric utilities",20779,11 "IPP & CHP",11703,9 "Net generation (megawatthours)",137284189,7 "Electric utilities",88763825,12 "IPP & CHP",48520364,7 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",346873,2 "Nitrogen oxide (short

  20. Table 1. 2013 Summary Statistics

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

    Oklahoma" "Item","Value","Rank" "Primary energy source","Natural Gas", "Net summer capacity (megawatts)",23300,17 "Electric utilities",16951,18 "IPP & CHP",6349,17 "Net generation (megawatthours)",73673680,22 "Electric utilities",53348841,18 "IPP & CHP",20324839,17 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",80418,19 "Nitrogen

  1. Table 1. 2013 Summary Statistics

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

    Oregon" "Item","Value","Rank" "Primary energy source","Hydroelectric", "Net summer capacity (megawatts)",15662,27 "Electric utilities",10973,25 "IPP & CHP",4689,19 "Net generation (megawatthours)",59895515,26 "Electric utilities",43254167,24 "IPP & CHP",16641348,21 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",17511,35 "Nitrogen

  2. Table 1. 2013 Summary Statistics

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

    Pennsylvania" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",43040,5 "Electric utilities",455,44 "IPP & CHP",42584,3 "Net generation (megawatthours)",226785630,2 "Electric utilities",1105740,42 "IPP & CHP",225679890,2 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",276851,3 "Nitrogen oxide

  3. Table 1. 2013 Summary Statistics

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

    Rhode Island" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",1809,49 "Electric utilities",8,50 "IPP & CHP",1802,38 "Net generation (megawatthours)",6246807,50 "Electric utilities",10659,48 "IPP & CHP",6236148,36 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",1271,49 "Nitrogen oxide

  4. Table 1. 2013 Summary Statistics

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

    Carolina" "Item","Value","Rank" "Primary energy source","Nuclear", "Net summer capacity (megawatts)",23017,18 "Electric utilities",21039,10 "IPP & CHP",1978,37 "Net generation (megawatthours)",95249894,16 "Electric utilities",91795732,9 "IPP & CHP",3454162,44 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",47671,25 "Nitrogen oxide

  5. Table 1. 2013 Summary Statistics

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

    Dakota" "Item","Value","Rank" "Primary energy source","Hydroelectric", "Net summer capacity (megawatts)",4109,45 "Electric utilities",3480,36 "IPP & CHP",629,48 "Net generation (megawatthours)",10108887,46 "Electric utilities",8030545,37 "IPP & CHP",2078342,47 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",15347,37 "Nitrogen oxide

  6. Table 1. 2013 Summary Statistics

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

    Tennessee" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",21326,20 "Electric utilities",20635,13 "IPP & CHP",690,47 "Net generation (megawatthours)",79651619,19 "Electric utilities",75988871,15 "IPP & CHP",3662748,43 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",86204,18 "Nitrogen oxide

  7. Table 1. 2013 Summary Statistics

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

    Texas" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",109584,1 "Electric utilities",28705,3 "IPP & CHP",80879,1 "Net generation (megawatthours)",433380166,1 "Electric utilities",96131888,6 "IPP & CHP",337248278,1 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",383728,1 "Nitrogen oxide

  8. Table 1. 2013 Summary Statistics

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

    Utah" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",7698,39 "Electric utilities",6669,32 "IPP & CHP",1029,44 "Net generation (megawatthours)",42516751,33 "Electric utilities",39526881,29 "IPP & CHP",2989870,45 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",23670,32 "Nitrogen oxide (short

  9. Table 1. 2013 Summary Statistics

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

    Vermont" "Item","Value","Rank" "Primary energy source","Nuclear", "Net summer capacity (megawatts)",1255,50 "Electric utilities",329,45 "IPP & CHP",925,46 "Net generation (megawatthours)",6884910,48 "Electric utilities",872238,43 "IPP & CHP",6012672,38 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",71,50 "Nitrogen oxide (short

  10. Table 1. 2013 Summary Statistics

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

    Virginia" "Item","Value","Rank" "Primary energy source","Nuclear", "Net summer capacity (megawatts)",24828,16 "Electric utilities",20601,14 "IPP & CHP",4227,22 "Net generation (megawatthours)",76896565,20 "Electric utilities",63724860,16 "IPP & CHP",13171706,28 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",68077,21 "Nitrogen

  11. Table 1. 2013 Summary Statistics

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

    Washington" "Item","Value","Rank" "Primary energy source","Hydroelectric", "Net summer capacity (megawatts)",30656,10 "Electric utilities",27070,5 "IPP & CHP",3586,28 "Net generation (megawatthours)",114172916,11 "Electric utilities",100013661,5 "IPP & CHP",14159255,24 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",13259,39

  12. Table 1. 2013 Summary Statistics

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

    West Virginia" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",16282,24 "Electric utilities",10625,27 "IPP & CHP",5657,18 "Net generation (megawatthours)",75863067,21 "Electric utilities",46351104,22 "IPP & CHP",29511963,13 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",93888,15 "Nitrogen

  13. Table 1. 2013 Summary Statistics

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

    Wisconsin" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",17342,23 "Electric utilities",13358,19 "IPP & CHP",3984,23 "Net generation (megawatthours)",65962792,23 "Electric utilities",47027455,20 "IPP & CHP",18935337,19 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",108306,13 "Nitrogen oxide

  14. Table 1. 2013 Summary Statistics

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

    Wyoming" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",8381,37 "Electric utilities",7279,31 "IPP & CHP",1102,43 "Net generation (megawatthours)",52483065,30 "Electric utilities",48089178,19 "IPP & CHP",4393887,41 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",49587,24 "Nitrogen oxide

  15. Table 1. 2013 Summary Statistics

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

    United States" "Item","Value" "Primary energy source","Coal" "Net summer capacity (megawatts)",1060064 "Electric utilities",616799 "IPP & CHP",443264 "Net generation (megawatthours)",4065964067 "Electric utilities",2388058409 "IPP & CHP",1677905658 "Emissions (thousand metric tons)", "Sulfur dioxide (short tons)",3978753 "Nitrogen oxide (short

  16. Table 1. 2013 Summary statistics

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

    Alaska" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",2384,48 "Electric utilities",2205,39 "IPP & CHP",179,50 "Net generation (megawatthours)",6496822,49 "Electric utilities",5851727,39 "IPP & CHP",645095,49 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",4202,43 "Nitrogen oxide

  17. Table 1. 2013 Summary statistics

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

    Arizona" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",27910,13 "Electric utilities",20668,12 "IPP & CHP",7242,16 "Net generation (megawatthours)",113325986,12 "Electric utilities",92740582,8 "IPP & CHP",20585405,15 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",23716,31 "Nitrogen oxide

  18. Table 1. 2013 Summary statistics

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

    California" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",73772,2 "Electric utilities",28165,4 "IPP & CHP",45607,2 "Net generation (megawatthours)",200077115,5 "Electric utilities",78407643,14 "IPP & CHP",121669472,4 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",2109,48 "Nitrogen

  19. Table 1. 2013 Summary statistics

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

    Colorado" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",14769,30 "Electric utilities",10238,28 "IPP & CHP",4531,20 "Net generation (megawatthours)",52937436,28 "Electric utilities",42508826,25 "IPP & CHP",10428610,29 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",40012,27 "Nitrogen oxide

  20. Table 1. 2013 Summary statistics

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

    Connecticut" "Item","Value","Rank" "Primary energy source","Nuclear", "Net summer capacity (megawatts)",8769,35 "Electric utilities",152,46 "IPP & CHP",8617,13 "Net generation (megawatthours)",35610789,38 "Electric utilities",50273,45 "IPP & CHP",35560516,10 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",3512,45 "Nitrogen oxide

  1. Table 1. 2013 Summary statistics

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

    Delaware" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",3246,46 "Electric utilities",102,47 "IPP & CHP",3144,32 "Net generation (megawatthours)",7760861,47 "Electric utilities",25986,47 "IPP & CHP",7734875,34 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",2241,47 "Nitrogen oxide

  2. Table 1. 2013 Summary statistics

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

    District of Columbia" "Item","Value","Rank" "Primary energy source","Natural gas", "Net summer capacity (megawatts)",9,51 "Electric utilities",, "IPP & CHP",9,51 "Net generation (megawatthours)",65852,51 "Electric utilities",, "IPP & CHP",65852,51 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",0,51 "Nitrogen oxide (short

  3. Table 1. 2013 Summary statistics

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

    Maryland" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",12339,33 "Electric utilities",85,48 "IPP & CHP",12254,8 "Net generation (megawatthours)",35850812,37 "Electric utilities",30205,46 "IPP & CHP",35820607,9 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",41539,26 "Nitrogen oxide (short

  4. Table 1. 2013 Summary statistics

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

    Minnesota" "Item","Value","Rank" "Primary energy source","Coal", "Net summer capacity (megawatts)",15758,26 "Electric utilities",11901,22 "IPP & CHP",3858,25 "Net generation (megawatthours)",51296988,31 "Electric utilities",41155904,27 "IPP & CHP",10141084,30 "Emissions (thousand metric tons)",, "Sulfur dioxide (short tons)",35625,28 "Nitrogen oxide

  5. SophiNet Version 12

    Energy Science and Technology Software Center (OSTI)

    2012-08-09

    SophiNet Version 12 is part of the code contained in the application ‘oglnet’ and comprises the portions that make ‘oglnet’ receive and display Sophia data from the Sophia Daemon ‘sophiad’. Specifically this encompasses the channel, host and alert receiving and the treeview HUD widget.

  6. I Laser Engineered Net Shaping

    Office of Scientific and Technical Information (OSTI)

    I Laser Engineered Net Shaping (LENS?: A Tool for Direct Fabrication of Metal Parts* Clint Atwood, Michelle GriBth, Lane Harwell, Eric Schlienger, Mark Ensz, John Smugeresky, Tony Romero, Don G-reene, Daryl Reckaway LENSm Project Team Sandia National Laboratories PO Box 5800, Mail Stop 0958 Albuquerque, NM, USA 87185-0958 Abstract For many years, Sandia National Laboratories has been involved in the development and application of rapid prototyping and direct fabrication technologies to build

  7. Table 11.1 Electricity: Components of Net Demand, 2010;

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

    1 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 75,652 21 5,666 347 80,993 3112 Grain and Oilseed Milling 16,620 0 3,494 142 19,972 311221 Wet Corn Milling 7,481 0 3,213 14 10,680 31131 Sugar Manufacturing

  8. Table 11.2 Electricity: Components of Net Demand, 2010;

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

    2 Electricity: Components of Net Demand, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Electricity Components; Unit: Million Kilowatthours. Sales and Net Demand Economic Total Onsite Transfers for Characteristic(a) Purchases Transfers In(b) Generation(c) Offsite Electricity(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 91,909 Q 1,406 194 93,319 20-49 86,795 81 2,466 282 89,060 50-99 90,115 215 2,593 1,115

  9. Wire-Net | Open Energy Information

    Open Energy Info (EERE)

    Wire-Net Jump to: navigation, search Name: Wire-Net Address: 4855 W. 130th Street, Suite 1 Place: Cleveland, OHio Zip: 44135 Sector: Efficiency, Renewable Energy, Services Phone...

  10. ,"U.S. Refinery Net Production"

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

    7:16:49 PM" "Back to Contents","Data 1: U.S. Refinery Net Production" ...US1","MMNRXNUS1","MPGRXNUS1" "Date","U.S. Refinery Net Production of Crude Oil and ...

  11. American PowerNet | Open Energy Information

    Open Energy Info (EERE)

    PowerNet Jump to: navigation, search Name: American PowerNet Place: Pennsylvania Phone Number: (877) 977-2636 Website: www.americanpowernet.com Outage Hotline: (877) 977-2636...

  12. ,"U.S. Blender Net Production"

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

    PM" "Back to Contents","Data 1: U.S. Blender Net Production" "Sourcekey","MEP00YPBN...MBBL","MEPPGYPBNUSMBBL" "Date","U.S. Blender Net Production of Crude Oil and Petroleum ...

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

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

    PM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRBNUS1","ME..."MO7RBNUS1","MO9RBNUS1" "Date","U.S. Blender Net Input of Total Petroleum Products ...

  14. Next Update: October 2009 Net Internal

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

    March 2009 Next Update: October 2009 Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW) Capacity Resources (MW) Capacity Margin (percent) Net Internal Demand (MW)1 2007 768,061 946,631 18.9 46,434 53,027 12.4 40,249 47,124 14.6 56,633 74,385 23.9 180,063 764,476 954,872 19.9 44,417 53,553 17.1 41,260

  15. City of Danville- Net Metering

    Broader source: Energy.gov [DOE]

    A customer may begin operation of their renewable energy generator once the conditions of interconnection have been met. These include:

  16. The NetLogger Toolkit V2.0

    Energy Science and Technology Software Center (OSTI)

    2003-03-28

    The NetLogger Toolkit is designed to monitor, under actual operating conditions, the behavior of all the elements of the application-to-application communication path in order to determine exactly where time is spent within a complex system Using NetLogger, distnbuted application components are modified to produce timestamped logs of "interesting" events at all the critical points of the distributed system Events from each component are correlated, which allov^ one to characterize the performance of all aspects ofmore » the system and network in detail. The NetLogger Toolkit itself consists of four components an API and library of functions to simplify the generation of application-level event logs, a set of tools for collecting and sorting log files, an event archive system, and a tool for visualization and analysis of the log files In order to instrument an application to produce event logs, the application developer inserts calls to the NetLogger API at all the critical points in the code, then links the application with the NetLogger library All the tools in the NetLogger Toolkit share a common log format, and assume the existence of accurate and synchronized system clocks NetLogger messages can be logged using an easy-to-read text based format based on the lETF-proposed ULM format, or a binary format that can still be used through the same API but that is several times faster and smaller, with performance comparable or better than binary message formats such as MPI, XDR, SDDF-Binary, and PBIO. The NetLogger binary format is both highly efficient and self-describing, thus optimized for the dynamic message construction and parsing of application instrumentation. NetLogger includes an "activation" API that allows NetLogger logging to be turned on, off, or modified by changing an external file This IS useful for activating logging in daemons/services (e g GndFTP server). The NetLogger reliability API provides the ability to specify backup logging locations and penodically try to reconnect broken TCP pipe. A typical use for this is to store data on local disk while net is down. An event archiver can log one or more incoming NetLogger streams to a local disk file (netlogd) or to a mySQL database (netarchd). We have found exploratory, visual analysis of the log event data to be the most useful means of determining the causes of performance anomalies The NetLogger Visualization tool, niv, has been developed to provide a flexible and interactive graphical representation of system-level and application-level events.« less

  17. El Paso Electric - Net Metering | Department of Energy

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

    Website http:www.epelectric.comtxbusinessrollback-net-metering-approved-in-... State Texas Program Type Net Metering Summary El Paso Electric (EPE) has offered net metering to...

  18. Advanced Building Technologies: Toward a New Generation of Net...

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

    ... response - AIA Integrated Practice initiative - Asset Management, Design Build, Outsourcing,... - Financing, valuation * Leverage National Activities, e.g. - AIA 2030 Challenge ...

  19. FY 2002 Generation Audited Accumulated Net Revenues, February...

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

    to rates for the FY 2003- 2006 period through the SN CRAC to achieve a five-year 80% TPP, then applying no further FB or SN CRAC adjustments, potentially combined with using...

  20. Electron transfer statistics and thermal fluctuations in molecular junctions

    SciTech Connect (OSTI)

    Goswami, Himangshu Prabal; Harbola, Upendra

    2015-02-28

    We derive analytical expressions for probability distribution function (PDF) for electron transport in a simple model of quantum junction in presence of thermal fluctuations. Our approach is based on the large deviation theory combined with the generating function method. For large number of electrons transferred, the PDF is found to decay exponentially in the tails with different rates due to applied bias. This asymmetry in the PDF is related to the fluctuation theorem. Statistics of fluctuations are analyzed in terms of the Fano factor. Thermal fluctuations play a quantitative role in determining the statistics of electron transfer; they tend to suppress the average current while enhancing the fluctuations in particle transfer. This gives rise to both bunching and antibunching phenomena as determined by the Fano factor. The thermal fluctuations and shot noise compete with each other and determine the net (effective) statistics of particle transfer. Exact analytical expression is obtained for delay time distribution. The optimal values of the delay time between successive electron transfers can be lowered below the corresponding shot noise values by tuning the thermal effects.

  1. Net Metering | Department of Energy

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

    Wind (All) Biomass Hydroelectric Municipal Solid Waste Combined Heat & Power Wind (Small) Hydroelectric (Small) Other Distributed Generation Technologies Program Info Sector Name...

  2. Net Metering | Department of Energy

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

    customers who own or operate systems up to one megawatt (1 MW) in capacity that generate electricity using solar, wind, geothermal, hydro, tidal, wave, biomass, landfill gas,...

  3. City of St. George- Net Metering

    Broader source: Energy.gov [DOE]

    The City of St. George Energy Services Department (SGESD) offers a net metering program to its customers, and updated program guidelines and fees in September 2015.* 

  4. NASA Net Zero Energy Buildings Roadmap

    SciTech Connect (OSTI)

    Pless, S.; Scheib, J.; Torcellini, P.; Hendron, B.; Slovensky, M.

    2014-10-01

    In preparation for the time-phased net zero energy requirement for new federal buildings starting in 2020, set forth in Executive Order 13514, NASA requested that the National Renewable Energy Laboratory (NREL) to develop a roadmap for NASA's compliance. NASA detailed a Statement of Work that requested information on strategic, organizational, and tactical aspects of net zero energy buildings. In response, this document presents a high-level approach to net zero energy planning, design, construction, and operations, based on NREL's first-hand experience procuring net zero energy construction, and based on NREL and other industry research on net zero energy feasibility. The strategic approach to net zero energy starts with an interpretation of the executive order language relating to net zero energy. Specifically, this roadmap defines a net zero energy acquisition process as one that sets an aggressive energy use intensity goal for the building in project planning, meets the reduced demand goal through energy efficiency strategies and technologies, then adds renewable energy in a prioritized manner, using building-associated, emission- free sources first, to offset the annual energy use required at the building; the net zero energy process extends through the life of the building, requiring a balance of energy use and production in each calendar year.

  5. Millenial Net Inc | Open Energy Information

    Open Energy Info (EERE)

    MA 01803 Sector: Services Product: Millennial Net is a US-based developer of wireless sensor networking software, systems, and services. Coordinates: 44.446275, -108.431704...

  6. Working and Net Available Shell Storage Capacity

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

    ... Form EIA-813 "Monthly Crude Oil Report", Form EIA-815 "Monthly Bulk Terminal and Blender Report", Form EIA-819 "Monthly Oxygenate Report" EIAWorking and Net Available Shell ...

  7. Working and Net Available Shell Storage Capacity

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

    ... Form EIA-813 "Monthly Crude Oil Report", Form EIA-815 "Monthly Bulk Terminal and Blender Report", Form EIA-819 "Monthly Oxygenate Report" PAD Districts EIAWorking and Net ...

  8. Working and Net Available Shell Storage Capacity

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

    ... Source: Energy Information Administration, Form EIA-813 "Monthly Crude Oil Report", Form EIA-815 "Monthly Bulk Terminal and Blender Report" PAD Districts 1 EIAWorking and Net ...

  9. Next Update: October 2010 Net Internal

    Gasoline and Diesel Fuel Update (EIA)

    entity that oversee electric reliability. * NERC Regional names may be found on the EIA web page for electric reliability. 1. The ReliabilityFirst Corporation value for Net ...

  10. Next Update: December 2011 Net Internal Demand

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

    entity that oversee electric reliability. * NERC Regional names may be found on the EIA web page for electric reliability. 1. The ReliabilityFirst Corporation value for Net ...

  11. Working and Net Available Shell Storage Capacity

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

    Working and Net Available Shell Storage Capacity With Data for September 2015 | Release ... Containing storage capacity data for crude oil, petroleum products, and selected biofuels. ...

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

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

    7:11:07 PM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRBNUS1...US1","MO7RBNUS1","MO9RBNUS1" "Date","U.S. Blender Net Input of Total Petroleum ...

  13. VruiNet Version 12(SOPHIA)

    Energy Science and Technology Software Center (OSTI)

    2012-08-09

    VruiNet Version 12 is the code used exclusively by the executable ‘vruinet’. VruiNet Version 12 provides a wrapper around the code for ‘oglnet’ that makes it compatible for VRUI systems such as the CAVE at CAES.

  14. Feasibility of Achieving a Zero-Net-Energy, Zero-Net-Cost Homes

    SciTech Connect (OSTI)

    Al-Beaini, S.; Borgeson, S.; Coffery, B.; Gregory, D.; Konis, K.; Scown, C.; Simjanovic, J.; Stanley, J.; Strogen, B.; Walker, I.

    2009-09-01

    A green building competition, to be known as the Energy Free Home Challenge (EFHC), is scheduled to be opened to teams around the world in 2010. This competition will encourage both design innovation and cost reduction, by requiring design entries to meet 'zero net energy' and 'zero net cost' criteria. For the purposes of this competition, a 'zero net energy' home produces at least as much energy as it purchases over the course of a year, regardless of the time and form of the energy (e.g., electricity, heat, or fuel) consumed or produced. A 'zero net cost' home is no more expensive than a traditional home of comparable size and comfort, when evaluated over the course of a 30-year mortgage. In other words, the 'green premium' must have a payback period less than 30 years, based on the value of energy saved. The overarching goal of the competition is to develop affordable, high-performance homes that can be mass-produced at a large scale, and are able to meet occupant needs in harsh climates (as can be found where the competition will be held in Illinois). This report outlines the goals of the competition, and gauges their feasibility using both modeling results and published data. To ensure that the established rules are challenging, yet reasonable, this report seeks to refine the competition goals after exploring their feasibility through case studies, cost projections, and energy modeling. The authors of this report conducted a survey of the most progressive home energy-efficiency practices expected to appear in competition design submittals. In Appendix A, a summary can be found of recent projects throughout the United States, Canada, Germany, Switzerland, Sweden and Japan, where some of the most progressive technologies have been implemented. As with past energy efficient home projects, EFHC competitors will incorporate a multitude of energy efficiency measures into their home designs. The authors believe that the cost of electricity generated by home generation technologies will continue to exceed the price of US grid electricity in almost all locations. Strategies to minimize whole-house energy demand generally involve some combination of the following measures: optimization of surface (area) to volume ratio; optimization of solar orientation; reduction of envelope loads; systems-based engineering of high efficiency HVAC components, and on-site power generation. A 'Base Case' home energy model was constructed, to enable the team to quantitatively evaluate the merits of various home energy efficiency measures. This Base Case home was designed to have an energy use profile typical of most newly constructed homes in the Champaign-Urbana, Illinois area, where the competition is scheduled to be held. The model was created with the EnergyGauge USA software package, a front-end for the DOE-2 building energy simulation tool; the home is a 2,000 square foot, two-story building with an unconditioned basement, gas heating, a gas hot-water heater, and a family of four. The model specifies the most significant details of a home that can impact its energy use, including location, insulation values, air leakage, heating/cooling systems, lighting, major appliances, hot water use, and other plug loads. EFHC contestants and judges should pay special attention to the Base Case model's defined 'service characteristics' of home amenities such as lighting and appliances. For example, a typical home refrigerator is assumed to have a built-in freezer, automatic (not manual) defrost, and an interior volume of 26 cubic feet. The Base Case home model is described in more detail in Section IV and Appendix B.

  15. SIMULATION OF NET INFILTRATION FOR MODERN AND POTENTIAL FUTURE CLIMATES

    SciTech Connect (OSTI)

    J.A. Heveal

    2000-06-16

    This Analysis/Model Report (AMR) describes enhancements made to the infiltration model documented in Flint et al. (1996) and documents an analysis using the enhanced model to generate spatial and temporal distributions over a model domain encompassing the Yucca Mountain site, Nevada. Net infiltration is the component of infiltrated precipitation, snowmelt, or surface water run-on that has percolated below the zone of evapotranspiration as defined by the depth of the effective root zone, the average depth below the ground surface (at a given location) from which water is removed by evapotranspiration. The estimates of net infiltration are used for defining the upper boundary condition for the site-scale 3-dimensional Unsaturated-Zone Ground Water Flow and Transport (UZ flow and transport) Model (CRWMS M&O 2000a). The UZ flow and transport model is one of several process models abstracted by the Total System Performance Assessment model to evaluate expected performance of the potential repository at Yucca Mountain, Nevada, in terms of radionuclide transport (CRWMS M&O 1998). The net-infiltration model is important for assessing potential repository-system performance because output from this model provides the upper boundary condition for the UZ flow and transport model that is used to generate flow fields for evaluating potential radionuclide transport through the unsaturated zone. Estimates of net infiltration are provided as raster-based, 2-dimensional grids of spatially distributed, time-averaged rates for three different climate stages estimated as likely conditions for the next 10,000 years beyond the present. Each climate stage is represented using a lower bound, a mean, and an upper bound climate and corresponding net-infiltration scenario for representing uncertainty in the characterization of daily climate conditions for each climate stage, as well as potential climate variability within each climate stage. The set of nine raster grid maps provide spatially detailed representations of the magnitude and distribution of net-infiltration rates that are used to define specified flux upper boundary conditions for the UZ flow and transport model.

  16. ARM - Facility Statistics

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

    ARMFacility Statistics 2015 Quarterly Reports First Quarter (PDF) Second Quarter (PDF) Third Quarter (PDF) Fourth Quarter (PDF) Historical Statistics Field Campaigns Operational...

  17. Definition of a 'Zero Net Energy' Community

    SciTech Connect (OSTI)

    Carlisle, N.; Van Geet, O.; Pless, S.

    2009-11-01

    This document provides a definition for a net zero-energy community. A community that offsets all of its energy use from renewables available within the community's built environment.

  18. Farmington Electric Utility System- Net Metering

    Broader source: Energy.gov [DOE]

    Farmington Electric, a municipal utility, offers net metering to residential customers with systems up to 10 kilowatts (kW) in capacity. This option is available for photovoltaic (PV), wind, hydro...

  19. Collective Impact for Zero Net Energy Homes

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

    Home Energy Star Certified New Home Building America Goal: High-Performance Zero Net-Energy Ready New & Existing Homes ZNER NewExist. Home Low HERS Code New Home Building...

  20. June 25 Webinar to Explore Net Metering

    Broader source: Energy.gov [DOE]

    Register for the Net Metering webinar, which will be held on Wednesday, June 25, 2014, from 11 a.m. to 12:30 p.m. Mountain time.

  1. U.S. Virgin Islands- Net Metering

    Broader source: Energy.gov [DOE]

    In February 2007, the U.S. Virgin Islands Public Services Commission approved a limited net-metering program for residential and commercial photovoltaic (PV), wind-energy or other renewable energ...

  2. ,"U.S. Blender Net Production"

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

    586-8800",,,"10272015 12:31:57 PM" "Back to Contents","Data 1: U.S. Blender Net Production" "Sourcekey","MEP00YPBNUSMBBL","MGFRZNUS1","MGRRZNUS1","MG1RZNUS1","MEPM0...

  3. ,"U.S. Refinery Net Production"

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

    586-8800",,,"10272015 12:31:05 PM" "Back to Contents","Data 1: U.S. Refinery Net Production" "Sourcekey","MTTRXNUS1","MLPRXNUS1","METRXNUS1","MENRXNUS1","MEYRXNUS1","...

  4. ARM - Measurement - Longwave broadband net irradiance

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

    net irradiance ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Longwave broadband net irradiance The difference between upwelling and downwelling broadband longwave radiation. Categories Radiometric Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available

  5. ARM - Measurement - Net broadband total irradiance

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

    govMeasurementsNet broadband total irradiance ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Net broadband total irradiance The difference between upwelling and downwelling, covering longwave and shortwave radiation. Categories Radiometric Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each

  6. ARM - Measurement - Shortwave broadband total net irradiance

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

    net irradiance ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Shortwave broadband total net irradiance The difference between upwelling and downwelling broadband shortwave radiation. Categories Radiometric Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available

  7. Designing Hawaii's First LEED Platinum Net Zero Community: Kaupuni...

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

    Designing Hawaii's First LEED Platinum Net Zero Community: Kaupuni Village Designing Hawaii's First LEED Platinum Net Zero Community: Kaupuni Village U.S. Department of Energy...

  8. Lessons Learned from Net Zero Energy Assessments and Renewable...

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

    Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations Lessons Learned from Net Zero Energy Assessments and Renewable Energy...

  9. US Crude Oil Production Surpasses Net Imports | Department of...

    Office of Environmental Management (EM)

    US Crude Oil Production Surpasses Net Imports US Crude Oil Production Surpasses Net Imports Source: Energy Information Administration Short Term Energy Outlook. Chart by Daniel...

  10. Nevada Renewable Energy Application For Net Metering Customers...

    Open Energy Info (EERE)

    Renewable Energy Application For Net Metering Customers Jump to: navigation, search OpenEI Reference LibraryAdd to library Form: Nevada Renewable Energy Application For Net...

  11. Net Zero Waste - Tools and Technical Support ...and other observations...

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

    Net Zero Waste - Tools and Technical Support ...and other observations Net Zero Waste - Tools and Technical Support ...and other observations Presentation at Waste-to-Energy using...

  12. Best Practices for Controlling Capital Costs in Net Zero Energy...

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

    Best Practices for Controlling Capital Costs in Net Zero Energy Design and Construction - 2014 BTO Peer Review Best Practices for Controlling Capital Costs in Net Zero Energy ...

  13. Rhode Island Natural Gas Underground Storage Net Withdrawals...

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

    Net Withdrawals All Operators (Million Cubic Feet) Rhode Island Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

  14. South Carolina Natural Gas Underground Storage Net Withdrawals...

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

    Net Withdrawals All Operators (Million Cubic Feet) South Carolina Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

  15. North Carolina Natural Gas Underground Storage Net Withdrawals...

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals All Operators (Million Cubic Feet) North Carolina Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2...

  16. Eastern Consuming Regions Natural Gas Underground Storage Net...

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

    Eastern Consuming Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Eastern Consuming Regions Natural Gas Underground Storage Net Withdrawals (Million...

  17. Western Consuming Regions Natural Gas Underground Storage Net...

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

    Western Consuming Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Western Consuming Regions Natural Gas Underground Storage Net Withdrawals (Million...

  18. AGA Producing Regions Natural Gas Underground Storage Net Withdrawals...

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

    AGA Producing Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) AGA Producing Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic...

  19. South Central Regions Natural Gas Underground Storage Net Withdrawals...

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

    Central Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) South Central Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year...

  20. Army Net Zero: Guide to Renewable Energy Conservation Investment...

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

    Army Net Zero: Guide to Renewable Energy Conservation Investment Program (ECIP) Projects Army Net Zero: Guide to Renewable Energy Conservation Investment Program (ECIP) Projects...

  1. US Crude Oil Production Surpasses Net Imports | Department of Energy

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

    US Crude Oil Production Surpasses Net Imports US Crude Oil Production Surpasses Net Imports Source: Energy Information Administration Short Term Energy Outlook. Chart by

  2. EERE Statistics Archive

    Broader source: Energy.gov [DOE]

    This page provides EERE Web statistics for all office and corporate websites that opted to use EERE's analytics account. Webtrends statistics for Fiscal Year 2009 (FY09) to FY11 are available for...

  3. Chapter 17: Estimating Net Savings: Common Practices

    SciTech Connect (OSTI)

    Violette, D. M.; Rathbun, P.

    2014-09-01

    This chapter focuses on the methods used to estimate net energy savings in evaluation, measurement, and verification (EM&V) studies for energy efficiency (EE) programs. The chapter provides a definition of net savings, which remains an unsettled topic both within the EE evaluation community and across the broader public policy evaluation community, particularly in the context of attribution of savings to particular program. The chapter differs from the measure-specific Uniform Methods Project (UMP) chapters in both its approach and work product. Unlike other UMP resources that provide recommended protocols for determining gross energy savings, this chapter describes and compares the current industry practices for determining net energy savings, but does not prescribe particular methods.

  4. Working and Net Available Shell Storage Capacity

    Reports and Publications (EIA)

    2015-01-01

    Working and Net Available Shell Storage Capacity is the U.S. Energy Information Administration’s (EIA) report containing storage capacity data for crude oil, petroleum products, and selected biofuels. The report includes tables detailing working and net available shell storage capacity by type of facility, product, and Petroleum Administration for Defense District (PAD District). Net available shell storage capacity is broken down further to show the percent for exclusive use by facility operators and the percent leased to others. Crude oil storage capacity data are also provided for Cushing, Oklahoma, an important crude oil market center. Data are released twice each year near the end of May (data for March 31) and near the end of November (data for September 30).

  5. net_energy_load_2006.xls

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, 2006 and Projected 2007 through 2011 (Thousands of Megawatthours and 2006 Base Year) Net Energy For Load (Annual) Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year FRCC MRO (U.S.) NPCC (U.S.) RFC SERC SPP ERCOT WECC (U.S.) 2006 3,911,914 230,115 222,748 294,319 926,279 1,011,173 201,521 305,672 720,087 Projected Contiguous U.S. FRCC MRO (U.S.) NPCC

  6. MetNet: Software to Build and Model the Biogenetic Lattice of Arabidopsis

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

    Wurtele, Eve Syrkin; Li, Jie; Diao, Lixia; Zhang, Hailong; Foster, Carol M.; Fatland, Beth; Dickerson, Julie; Brown, Andrew; Cox, Zach; Cook, Dianne; et al

    2003-01-01

    MetNet (http://www.botany.iastate.edu/∼mash/metnetex/metabolicnetex.html) is publicly available software in development for analysis of genome-wide RNA, protein and metabolite profiling data. The software is designed to enable the biologist to visualize, statistically analyse and model a metabolic and regulatory network map of Arabidopsis , combined with gene expression profiling data. It contains a JAVA interface to an interactions database (MetNetDB) containing information on regulatory and metabolic interactions derived from a combination of web databases (TAIR, KEGG, BRENDA) and input from biologists in their area of expertise. FCModeler captures input from MetNetDB in a graphical form. Sub-networks can be identified and interpreted usingmore » simple fuzzy cognitive maps. FCModeler is intended to develop and evaluate hypotheses, and provide a modelling framework for assessing the large amounts of data captured by high-throughput gene expression experiments. FCModeler and MetNetDB are currently being extended to three-dimensional virtual reality display. The MetNet map, together with gene expression data, can be viewed using multivariate graphics tools in GGobi linked with the data analytic tools in R. Users can highlight different parts of the metabolic network and see the relevant expression data highlighted in other data plots. Multi-dimensional expression data can be rotated through different dimensions. Statistical analysis can be computed alongside the visual. MetNet is designed to provide a framework for the formulation of testable hypotheses regarding the function of specific genes, and in the long term provide the basis for identification of metabolic and regulatory networks that control plant composition and development.« less

  7. Bragg Experimental SensorNet Testbed (BEST)

    SciTech Connect (OSTI)

    Gorman, Bryan

    2010-01-25

    The principal causative objectives of BEST were to consolidate the 9-1-1 and emergency response services into an Integrated Incident Management Center (I2MC) and to establish an 'Interoperability framework' based on SensorNet protocols to allow additional components to be added to the I2MC over time.

  8. " Onsite Generation from Noncombustible Renewable Energy"...

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

    "Coal ",1.2 "Natural Gas",1.8 "Net Electricity",2.2 " Purchases",2.1 " Transfers In",4.6 " Onsite Generation from Noncombustible Renewable Energy",2.6 " Sales and Transfers ...

  9. ARM - Historical Operational Statistics

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

    Operational Statistics 2016 Quarterly Reports First Quarter (PDF) Second Quarter (PDF) Third Quarter (PDF) Fourth Quarter (PDF) Past Quarterly Reports Historical Statistics Field Campaigns Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Operational Statistics The reporting requirements for DOE national user facilities are based on time. These requirements concern the actual hours of operation (ACTUAL) and the established maximum operation or uptime

  10. ARM - Historical Visitor Statistics

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

    Visitor Statistics 2016 Quarterly Reports First Quarter (PDF) Second Quarter (PDF) Third Quarter (PDF) Fourth Quarter (PDF) Past Quarterly Reports Historical Statistics Field Campaigns Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Visitor Statistics As a national user facility, ARM is required to report facility use for actual visitors and for active user research computer and Archive accounts and only unique scientific users will be counted. A

  11. GreenCraft Builders 2009 TimberCreek Net Zero Energy House Prototype

    SciTech Connect (OSTI)

    2010-08-24

    This case study describes strategy for achieving zero net energy by lowering building consumption through a high efficiency enclosure and mechanical as much as possible and using photovoltaic installation to generate the remaining amount of energy needed to operate the building over the course of a year.

  12. Independent Statistics & Analysis

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

    October 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Quarterly Coal Distribution Report April - June 2014 This report was...

  13. FY 2005 Statistical Table

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

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration

  14. International Energy Statistics - EIA

    Gasoline and Diesel Fuel Update (EIA)

    International > International Energy Statistics International Energy Statistics Petroleum Production | Annual Monthly/Quarterly Consumption | Annual Monthly/Quarterly Capacity | Bunker Fuels | Stocks | Annual Monthly/Quarterly Reserves | Imports | Annual Monthly/Quarterly Exports | CO2 Emissions | Heat Content Natural Gas All Flows | Production | Consumption | Reserves | Imports | Exports | Carbon Dioxide Emissions | Heat Content Coal All Flows | Production | Consumption | Reserves | Imports

  15. NASA Net Zero Energy Buildings Roadmap

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

    NASA Net Zero Energy Buildings Roadmap Shanti Pless, DOE NREL Wayne Thalasinos, NASA http://www.nrel.gov/docs/fy15osti/60838.pdf FEDERAL UTILITY PARTNERSHIP WORKING GROUP SEMINAR November 5-6, 2014 Cape Canaveral. Florida Hosted by: ARC JPL AFRC JSC SSC KSC MSFC LaRC HQ GSFC GRC PBS MAF WFF WSTF GDSCC Field Centers & Component Facilities Sustain- able Design Policy Since 2003 Executive Order 13514 Goals "... establish an integrated strategy towards sustainability in the Federal

  16. NREL: TroughNet - Data and Resources

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

    Data and Resources This site features data and resources about parabolic trough power plant technology, including: Industry partners U.S. power plant data Solar data Models and tools System and component testing Also see our publications on parabolic trough power plants. Printable Version TroughNet Home Technologies Market & Economic Assessment Research & Development Data & Resources Industry Partners Power Plant Data Solar Data Models & Tools System & Component Testing FAQs

  17. Method for net-shaping using aerogels

    DOE Patents [OSTI]

    Brinker, C. Jeffrey (Albuquerque, NM); Ashey, Carol S. (Albuquerque, NM); Reed, Scott T. (Albuquerque, NM); Sriram, Chunangad S. (Indianapolis, IN); Harris, Thomas M. (Tulsa, OK)

    2001-01-01

    A method of net-shaping using aerogel materials is provided by first forming a sol, aging the sol to form a gel, with the gel having a fluid component and having been formed into a medium selected from the group consisting of a powder, bulk material, or granular aerobeads, derivatizing the surface of the gel to render the surface unreactive toward further condensation, removing a portion of the fluid component of the final shaped gel to form a partially dried medium, placing the medium into a cavity, wherein the volume of said medium is less that the volume of the cavity, and removing a portion of the fluid component of the medium. The removal, such as by heating at a temperature of approximately less than 50.degree. C., applying a vacuum, or both, causes the volume of the medium to increase and to form a solid aerogel. The material can be easily removed by exposing the material to a solvent, thereby reducing the volume of the material. In another embodiment, the gel is derivatized and then formed into a shaped medium, where subsequent drying reduces the volume of the shaped medium, forming a net-shaping material. Upon further drying, the material increases in volume to fill a cavity. The present invention is both a method of net-shaping and the material produced by the method.

  18. SCE&G - Net Metering | Department of Energy

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

    of net metering programs offered by the IOUs. South Carolina Electric & Gas (SCE&G) designed two net-metering options for its South Carolina customers. These options are...

  19. Instructions for Submitting Document to OpenNet | Department...

    Energy Savers [EERE]

    an OpenNet Logon Name and Password. If you don't already have one, go to the OpenNet web site at: http:www.osti.govopennet. Click on the LOGIN link on the top right. Read...

  20. American PowerNet (Maine) | Open Energy Information

    Open Energy Info (EERE)

    PowerNet (Maine) Jump to: navigation, search Name: American PowerNet Place: Maine Phone Number: (877) 977-2636 Website: americanpowernet.com Outage Hotline: (877) 977-2636...

  1. New Jersey Natural Gas Underground Storage Net Withdrawals All...

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

    Net Withdrawals All Operators (Million Cubic Feet) New Jersey Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

  2. Lake Roosevelt Volunteer Net Pens, Lake Roosevelt Rainbow Trout Net Pens, 2002-2003 Annual Report.

    SciTech Connect (OSTI)

    Smith, Gene

    2003-11-01

    The completion of Grand Coulee Dam for power production, flood control, and irrigation resulted in the creation of a blocked area above the dam and in the loss of anadromous fish. Because of lake level fluctuations required to meet the demands for water release or storage, native or indigenous fish were often threatened. For many years very little effort was given to stocking the waters above the dam. However, studies by fish biologists showed that there was a good food base capable of supporting rainbow and kokanee (Gangmark and Fulton 1949, Jagielo 1984, Scholz etal 1986, Peone etal 1990). Further studies indicated that artificial production might be a way of restoring or enhancing the fishery. In the 1980's volunteers experimented with net pens. The method involved putting fingerlings in net pens in the fall and rearing them into early summer before release. The result was an excellent harvest of healthy fish. The use of net pens to hold the fingerlings for approximately nine months appears to reduce predation and the possibility of entrainment during draw down and to relieve the hatcheries to open up available raceways for future production. The volunteer net pen program grew for a few years but raising funds to maintain the pens and purchase food became more and more difficult. In 1995 the volunteer net pen project (LRDA) was awarded a grant through the Northwest Power Planning Council's artificial production provisions.

  3. AMERICAN STATISTICAL ASSOCIATION

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

    AMERICAN STATISTICAL ASSOCIATION + + + + + COMMITTEE ON ENERGY STATISTICS + + + + + FALL MEETING + + + + + FRIDAY OCTOBER 17, 2003 + + + + + The Committee met in Room 8E089 in the Forrestal Building, 1000 Independence Avenue, S.W., Washington, D.C., at 8:30 a.m., Jay Breidt, Chair, presiding. PRESENT F. JAY BREIDT Chair NICOLAS HENGARTNER Vice Chair JOHNNY BLAIR Committee Member MARK BURTON Committee Member JAE EDMONDS Committee Member MOSHE FEDER Committee Member JAMES K. HAMMITT Committee

  4. Independent Statistics & Analysis

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

    April 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Annual Coal Distribution Report 2013 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

  5. Independent Statistics & Analysis

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

    Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Quarterly Coal Report (Abbreviated) July - September 2015 January 2016 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

  6. Independent Statistics & Analysis

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

    March 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 Quarterly Coal Distribution Report October - December 2014 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

  7. The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California

    SciTech Connect (OSTI)

    Darghouth, Naim; Barbose, Galen; Wiser, Ryan

    2010-03-30

    Net metering has become a widespread policy in the U.S. for supporting distributed photovoltaics (PV) adoption. Though specific design details vary, net metering allows customers with PV to reduce their electric bills by offsetting their consumption with PV generation, independent of the timing of the generation relative to consumption - in effect, compensating the PV generation at retail electricity rates (Rose et al. 2009). While net metering has played an important role in jump-starting the residential PV market in the U.S., challenges to net metering policies have emerged in a number of states and contexts, and alternative compensation methods are under consideration. Moreover, one inherent feature of net metering is that the value of the utility bill savings it provides to customers with PV depends heavily on the structure of the underlying retail electricity rate, as well as on the characteristics of the customer and PV system. Consequently, the value of net metering - and the impact of moving to alternative compensation mechanisms - can vary substantially from one customer to the next. For these reasons, it is important for policymakers and others that seek to support the development of distributed PV to understand both how the bill savings varies under net metering, and how the bill savings under net metering compares to other possible compensation mechanisms. To advance this understanding, we analyze the bill savings from PV for residential customers of California's two largest electric utilities, Pacific Gas and Electric (PG&E) and Southern California Edison (SCE). The analysis is based on hourly load data from a sample of 215 residential customers located in the service territories of the two utilities, matched with simulated hourly PV production for the same time period based on data from the nearest of 73 weather stations in the state.

  8. Analysis … Targeting Zero Net Energy

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

    Analysis - Targeting Zero Net Energy 2014 Building Technologies Office Peer Review Scott Horowitz, scott.horowitz@nrel.gov NREL Project Summary Timeline: Start date: 2010 Planned end date: ? Key Milestones * 2010: BEopt release (v1.0) w/EnergyPlus * 2012-13: New residential models: HPWH, MSHP, GSHP, Window AC, dehumidifier, etc. * 2013: BEopt release (v2.0) w/retrofit analysis Budget: Total DOE $ to date: $2.5M (includes $600k ARRA) Total Non-DOE $ to date: $1.3M Total future DOE $: TBD Target

  9. Workplace Charging Challenge Partner: NetApp | Department of Energy

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

    NetApp Workplace Charging Challenge Partner: NetApp Workplace Charging Challenge Partner: NetApp NetApp consistently ranks as one of the "Best Companies to Work For" in part because of the organizational response to employees' interests and needs. One such example is NetApp's installation of 31 Level 2 plug-in electric vehicle (PEV) charging stations at the organization's Sunnyvale campus in April 2013. This extensive deployment was the result of rapid growth in PEV-driving employees.

  10. Candidate Assembly Statistical Evaluation

    Energy Science and Technology Software Center (OSTI)

    1998-07-15

    The Savannah River Site (SRS) receives aluminum clad spent Material Test Reactor (MTR) fuel from all over the world for storage and eventual reprocessing. There are hundreds of different kinds of MTR fuels and these fuels will continue to be received at SRS for approximately ten more years. SRS''s current criticality evaluation methodology requires the modeling of all MTR fuels utilizing Monte Carlo codes, which is extremely time consuming and resource intensive. Now that amore » significant number of MTR calculations have been conducted it is feasible to consider building statistical models that will provide reasonable estimations of MTR behavior. These statistical models can be incorporated into a standardized model homogenization spreadsheet package to provide analysts with a means of performing routine MTR fuel analyses with a minimal commitment of time and resources. This became the purpose for development of the Candidate Assembly Statistical Evaluation (CASE) program at SRS.« less

  11. The Economic Value of PV and Net Metering to Residential Customers in California

    SciTech Connect (OSTI)

    Darghouth, Naim; Barbose, Galen; Wiser, Ryan

    2010-05-17

    In this paper, we analyze the bill savings from PV for residential customers of the California's two largest electric utilities, under existing net metering tariffs as well as under several alternative compensation mechanisms. We find that economic value of PV to the customer is dependent on the structure of the underlying retail electricity rate and can vary quite significantly from one customer to another. In addition, we find that the value of the bill savings from PV generally declines with PV penetration level, as increased PV generation tends to offset lower-priced usage. Customers in our sample from both utilities are significantly better off with net metering than with a feed-in tariff where all PV generation is compensated at long-run avoided generation supply costs. Other compensation schemeswhich allow customers to displace their consumption with PV generation within each hour or each month, and are also based on the avoided costs, yield similar value to the customer as net metering.

  12. Modeling Cyber Conflicts Using an Extended Petri Net Formalism

    SciTech Connect (OSTI)

    Zakrzewska, Anita N; Ferragut, Erik M

    2011-01-01

    When threatened by automated attacks, critical systems that require human-controlled responses have difficulty making optimal responses and adapting protections in real- time and may therefore be overwhelmed. Consequently, experts have called for the development of automatic real-time reaction capabilities. However, a technical gap exists in the modeling and analysis of cyber conflicts to automatically understand the repercussions of responses. There is a need for modeling cyber assets that accounts for concurrent behavior, incomplete information, and payoff functions. Furthermore, we address this need by extending the Petri net formalism to allow real-time cyber conflicts to be modeled in a way that is expressive and concise. This formalism includes transitions controlled by players as well as firing rates attached to transitions. This allows us to model both player actions and factors that are beyond the control of players in real-time. We show that our formalism is able to represent situational aware- ness, concurrent actions, incomplete information and objective functions. These factors make it well-suited to modeling cyber conflicts in a way that allows for useful analysis. MITRE has compiled the Common Attack Pattern Enumera- tion and Classification (CAPEC), an extensive list of cyber attacks at various levels of abstraction. CAPEC includes factors such as attack prerequisites, possible countermeasures, and attack goals. These elements are vital to understanding cyber attacks and to generating the corresponding real-time responses. We demonstrate that the formalism can be used to extract precise models of cyber attacks from CAPEC. Several case studies show that our Petri net formalism is more expressive than other models, such as attack graphs, for modeling cyber conflicts and that it is amenable to exploring cyber strategies.

  13. Statistical criteria for characterizing irradiance time series.

    SciTech Connect (OSTI)

    Stein, Joshua S.; Ellis, Abraham; Hansen, Clifford W.

    2010-10-01

    We propose and examine several statistical criteria for characterizing time series of solar irradiance. Time series of irradiance are used in analyses that seek to quantify the performance of photovoltaic (PV) power systems over time. Time series of irradiance are either measured or are simulated using models. Simulations of irradiance are often calibrated to or generated from statistics for observed irradiance and simulations are validated by comparing the simulation output to the observed irradiance. Criteria used in this comparison should derive from the context of the analyses in which the simulated irradiance is to be used. We examine three statistics that characterize time series and their use as criteria for comparing time series. We demonstrate these statistics using observed irradiance data recorded in August 2007 in Las Vegas, Nevada, and in June 2009 in Albuquerque, New Mexico.

  14. FY 2006 Statistical Table

    Energy Savers [EERE]

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2004 FY 2005 FY 2006 Comparable Comparable Request to FY 2006 vs. FY 2005 Approp Approp Congress Discretionary Summary By Appropriation Energy And Water Development Appropriation Summary: Energy Programs Energy supply Operation and maintenance................................................. 787,941 909,903 862,499 -47,404 -5.2% Construction......................................................................... 6,956

  15. FY 2007 Statistical Table

    Energy Savers [EERE]

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2005 FY 2006 FY 2007 Current Current Congressional Approp. Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance............................................ 1,779,399 1,791,372 1,917,331 +125,959 +7.0%

  16. FY 2008 Statistical Table

    Energy Savers [EERE]

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2006 FY 2007 FY 2008 Current Congressional Congressional Approp. Request Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance........................................... 1,781,242 1,917,331 2,187,943 +270,612 +14.1%

  17. FY 2013 Statistical Table

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

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2011 FY 2012 FY 2013 Current Enacted Congressional Approp. Approp. * Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................ 1,771,721 1,809,638 2,337,000 +527,362 +29.1% Electricity delivery and energy reliability.........................................

  18. OglNet Version 13(SOPHIA)

    Energy Science and Technology Software Center (OSTI)

    2012-08-09

    OglNet is designed to capture and visualize network packets as they move from their source to intended destination. This creates a three dimensional representation of an active network and can show misconfigured components, potential security breaches and possible hostile network traffic. This visual representation is customizable by the user and also includes how network components interact with servers around the world. The software is able to process live or real time traffic feeds as wellmore » as offline historical network packet captures. As packets are read into the system, they are processed and visualized in an easy to understand display that includes network names, IP addresses, and global positioning. The software can process and display up to six million packets per second.« less

  19. net_energy_load_2003.xls

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

    3 and Projected 2004 through 2008 (Thousands of Megawatthours and 2003 Base Year) Net Energy For Load (Annual) Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year ECAR FRCC MAAC MAIN MAPP (U.S.) NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990 2,886,496 442,507 142,502 221,099 197,326 127,102 250,681 485,205 252,037 209,789 558,248 1991 2,941,669 450,586 146,903 228,588 205,880 129,826 253,701 501,794 257,434 211,568 555,389 1992 2,942,910 450,853 147,464

  20. net_energy_load_2004.xls

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

    4 and Projected 2005 through 2009 (Thousands of Megawatthours and 2004 Base Year) Net Energy For Load (Annual) Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year ECAR FRCC MAAC MAIN MAPP/MRO (U.S.) NPCC (U.S.) SERC SPP ERCOT WECC (U.S.) 1990 2,886,496 442,507 142,502 221,099 197,326 127,102 250,681 485,205 252,037 209,789 558,248 1991 2,941,669 450,586 146,903 228,588 205,880 129,826 253,701 501,794 257,434 211,568 555,389 1992 2,942,910 450,853

  1. net_energy_load_2005.xls

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

    2005 and Projected 2006 through 2010 (Thousands of Megawatthours and 2005 Base Year) Net Energy For Load (Annual) Contiguous U.S. Eastern Power Grid Texas Power Grid Western Power Grid Projected Year Base Year FRCC MRO (U.S.) NPCC (U.S.) RFC SERC SPP ERCOT WECC (U.S.) 2005 3,900,461 226,544 216,633 303,607 1,005,226 962,054 201,548 299,225 685,624 Projected Contiguous U.S. FRCC MRO (U.S.) NPCC (U.S.) RFC SERC SPP ERCOT WECC (U.S.) In 2005 for 2006 3,926,389 232,561 220,006 301,893 992,742

  2. net_energy_load_2010.xls

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Assessment Area, 1990-2010 Actual, 2011-2015 Projected (Thousands of Megawatthours) Interconnection NERC Regional Assesment Area 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 FRCC 142,502 146,903 147,464 153,468 159,861 169,021 173,377 175,557 188,384 188,598 196,561 200,134 211,116 NPCC 250,681 253,701 252,256 257,447 259,947 261,235 263,125 264,464 268,309 277,902 281,518 282,670

  3. The Impact of Rate Design and Net Metering on the Bill Savings from Distributed PV for Residential Customers in California

    SciTech Connect (OSTI)

    Energy and Resources Group, University of California, Berkeley; Darghouth, Naim R.; Barbose, Galen; Wiser, Ryan

    2011-06-01

    Net metering has become a widespread mechanism in the U.S. for supporting customer adoption of distributed photovoltaics (PV), but has faced challenges as PV installations grow to a larger share of generation in a number of states. This paper examines the value of the bill savings that customers receive under net metering, and the associated role of retail rate design, based on a sample of approximately two hundred residential customers of California's two largest electric utilities. We find that the bill savings per kWh of PV electricity generated varies by more than a factor of four across the customers in the sample, which is largely attributable to the inclining block structure of the utilities' residential retail rates. We also compare the bill savings under net metering to that received under three potential alternative compensation mechanisms, based on California's Market Price Referent (MPR). We find that net metering provides significantly greater bill savings than a full MPR-based feed-in tariff, but only modestly greater savings than alternative mechanisms under which hourly or monthly net excess generation is compensated at the MPR rate.

  4. NREL: Technology Deployment - Hawaii's First Net-Zero Energy Affordable

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

    Housing Community Hawaii's First Net-Zero Energy Affordable Housing Community News Kaupuni Village: The First Net-Zero Affordable Housing Community in Hawaii Publications Kaupuni Village: A Closer Look at the First Net-Zero Energy Affordable Housing Community in Hawaii Hawaii Clean Energy Initiative Existing Building Energy Efficiency Analysis Sponsors State of Hawaii U.S. Department of Energy Key Partners Department of Hawaiian Homelands Hawaiian Homelands Trust Group 70 International

  5. Lessons Learned from Net Zero Energy Assessments and Renewable Energy

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

    Projects at Military Installations | Department of Energy Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations Lessons Learned from Net Zero Energy Assessments and Renewable Energy Projects at Military Installations Report highlights the increase in resources, project speed, and scale required to achieve the U.S. Department of Defense (DoD) energy efficiency and renewable energy goals. It also summarizes the net zero energy installation

  6. ARM - Reading netCDF, HDF, and GRIB Files

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

    DocumentationReading netCDF, HDF, and GRIB Files Policies, Plans, Descriptions Data Documentation Home Data Sharing and Distribution Policy Data Management and Documentation Plan Data Product Registration and Submission Statement on Digital Data Management Guidelines for Integrating Data Products and Algorithms to ARM Data Libraries Reading netCDF and HDF Data Files Time in ARM netCDF Data Files Data Archive Documentation ARM Archive's Catalog of Data Streams (Updated monthly) Access to

  7. Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation

    Energy Savers [EERE]

    | Department of Energy Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Case study details the General Services Administration's (GSA) decision to align historic preservation renovations with zero energy goals in the Wayne N. Aspinall Federal Building and U.S. Courthouse in Grand Junction, Colorado. PDF icon

  8. FY 2009 Statistical Table

    Energy Savers [EERE]

    Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear

  9. Implementing Bayesian Statistics

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

    Implementing Bayesian Statistics and a Full Systematic Uncertainty Propagation with the Soft X-Ray Tomography Diagnostic on the Madison Symmetric Torus by Jay Johnson A thesis submitted in partial fulfillment of the requirements for the degree of Bachelors of Science (Physics) at the University of Wisconsin - Madison 2013 i Abstract The Madison Symmetric Torus uses multiple diagnostics to measure electron temper- ature (T e ). The soft x-ray (SXR) diagnostic measures T e from x-ray emission in

  10. ,"Total Crude Oil and Petroleum Products Net Receipts by Pipeline...

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

    Net Receipts by Pipeline, Tanker, Barge and Rail between PAD Districts" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

  11. Net Requirements Transparency Process for Slice/Block Customers

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

    4, 2012 Net Requirements Transparency Process for SliceBlock Customers Description of Changes and a Response to Comments September 24, 2012 Background and Description of Changes:...

  12. Zero Net Energy Homes Production Builder Business Case: California...

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

    Zero Net Energy Homes Production Builder Business Case: CaliforniaFlorida Production ...Florida Production Builders - Building America Top Innovation Photo of a solar home. ...

  13. Targeting Net Zero Energy at Fort Carson: Assessment and Recommendatio...

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

    Targeting Net Zero Energy at Fort Carson: Assessment and Recommendations Prepared for the U.S. Department of Energy Federal Energy Management Program By National Renewable Energy ...

  14. Targeting Net Zero Energy at Marine Corps Air Station Miramar...

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

    Targeting Net Zero Energy at Marine Corps Air Station Miramar: Assessment and ... laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable ...

  15. Aspinall Courthouse: GSA's Historic Preservation and Net-Zero...

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

    historic preservation renovations with net-zero energy goals in the Wayne N. Aspinall Federal Building and U.S. Courthouse in Grand Junction, Colorado. aspinallcourthouse.pdf...

  16. Net Zero Energy Military Installations: A Guide to Assessment...

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

    to reduce energy demand and increase use of renewable energy on DoD installations. PDF icon 48876.pdf More Documents & Publications Lessons Learned from Net Zero Energy...

  17. CHARACTERIZATION OF NEAR NET-SHAPE CASTABLE RARE EARTH MODIFIED...

    Office of Scientific and Technical Information (OSTI)

    HIGH TEMPERATURE APPLICATION Citation Details In-Document Search Title: CHARACTERIZATION OF NEAR NET-SHAPE CASTABLE RARE EARTH MODIFIED ALUMINUM ALLOYS FOR HIGH TEMPERATURE ...

  18. Deep Energy Efficiency and Getting to Net Zero

    Broader source: Energy.gov [DOE]

    Presentation covers energy efficiency and getting to net zero and is given at the Spring 2011 Federal Utility Partnership Working Group (FUPWG) meeting.

  19. Vermont Construction and Operation of Net Metering Systems Rules...

    Open Energy Info (EERE)

    rule is applicable to all net metered installations in Vermont, and applies to every person, firm, company, corporation and municipality engaged in the construction or operation...

  20. Vermont Construction and Operation of Net Metering Systems Rule...

    Open Energy Info (EERE)

    rule is applicable to all net metered installations in Vermont, and applies to every person, firm, company, corporation and municipality engaged in the construction or operation...

  1. ,"Texas Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2013 ,"Release Date:","2292016" ,"Next Release Date:","3312016" ,"Excel File Name:","ngaepg0salstxmmcfa.xls" ,"Available ...

  2. ,"New York Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015"...

  3. ,"Wyoming Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015"...

  4. ,"Midwest Regions Natural Gas Underground Storage Net Withdrawals...

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

  5. ,"East Regions Natural Gas Underground Storage Net Withdrawals...

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

  6. ,"Alaska Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015"...

  7. ,"West Virginia Natural Gas Underground Storage Net Withdrawals...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Underground Storage Net Withdrawals (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015"...

  8. ,"Mountain Regions Natural Gas Underground Storage Net Withdrawals...

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

  9. ,"Pacific Regions Natural Gas Underground Storage Net Withdrawals...

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

    Regions Natural Gas Underground Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

  10. "Interconnection","NERC Regional Assesment Area","Net Internal...

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

    B Winter net internal demand, capacity resources, and capacity margins by North American Electric Reliability Corporation" "Region, 2001-2011 actual, 2012-2016 projected" ...

  11. ,"Table 4.B Winter Net Internal Demand, Capacity Resources,...

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

    B Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Region," ,"2001-2010 Actual, 2011-2015 Projected" ...

  12. GEO NET Umweltconsulting GmbH | Open Energy Information

    Open Energy Info (EERE)

    search Name: GEO-NET Umweltconsulting GmbH Place: Hannover, Germany Zip: 30161 Sector: Wind energy Product: Undertakes environmental planning and consulting in wind and other...

  13. Refinery & Blender Net Production of Total Finished Petroleum...

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

    & Blender Net Production Product: Total Finished Petroleum Products Liquefied Refinery Gases EthaneEthylene Ethane Ethylene PropanePropylene Propane Propylene Normal Butane...

  14. Aspinall Courthouse: GSA's Historic Preservation and Net-Zero...

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

    Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Case study details the General Services Administration's (GSA) decision to align historic preservation...

  15. Power Net Revenue Improvement Sounding Board (aboutpbl/financial...

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

    Related Web Sites Power Services Organization Power Services Financial Information Net Revenue Sounding Board Tribal Affairs Office Account Executives Customer Service Centers...

  16. net_energy_load_1990_2004.xls

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

    for this table format Table 1a . Historical Net Energy For Load, Actual by North American Electric Reliability Council Region, 1990 through 2004. (Thousands of Megawatthours)...

  17. Random paths and current fluctuations in nonequilibrium statistical mechanics

    SciTech Connect (OSTI)

    Gaspard, Pierre

    2014-07-15

    An overview is given of recent advances in nonequilibrium statistical mechanics about the statistics of random paths and current fluctuations. Although statistics is carried out in space for equilibrium statistical mechanics, statistics is considered in time or spacetime for nonequilibrium systems. In this approach, relationships have been established between nonequilibrium properties such as the transport coefficients, the thermodynamic entropy production, or the affinities, and quantities characterizing the microscopic Hamiltonian dynamics and the chaos or fluctuations it may generate. This overview presents results for classical systems in the escape-rate formalism, stochastic processes, and open quantum systems.

  18. Simulation of Net Infiltration for Present-Day and Potential Future Climates

    SciTech Connect (OSTI)

    D. Levitt

    2004-11-09

    The purpose of this model report is to document the infiltration model used to estimate upper-bound, mean, and lower-bound spatially-distributed average annual net infiltration rates for present-day and potential future climates at Yucca Mountain, Nevada. Net infiltration is the component of infiltrated precipitation, snowmelt, or surface water run-on that has percolated below the zone of evapotranspiration as defined by the depth of the effective root zone. The estimates of net infiltration are primarily used for defining the upper boundary condition for the site-scale three-dimensional unsaturated zone (UZ) model. The UZ flow model is one of several process models abstracted by the total system performance assessment (TSPA) model used to evaluate performance of the repository at Yucca Mountain, Nevada. The net-infiltration model is important for assessing repository-system performance because output from this model provides the upper boundary condition for the UZ flow model used to generate flow fields; water percolating downward from the UZ will be the principal means by which radionuclides are potentially released to the saturated zone (SZ). The SZ is the principal pathway to the biosphere where the reasonably maximally exposed individual (RMEI) is exposed to radionuclides.

  19. Experimental Mathematics and Computational Statistics

    SciTech Connect (OSTI)

    Bailey, David H.; Borwein, Jonathan M.

    2009-04-30

    The field of statistics has long been noted for techniques to detect patterns and regularities in numerical data. In this article we explore connections between statistics and the emerging field of 'experimental mathematics'. These includes both applications of experimental mathematics in statistics, as well as statistical methods applied to computational mathematics.

  20. International petroleum statistics report

    SciTech Connect (OSTI)

    1995-10-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report presents data on international oil production, demand, imports, exports and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). Section 2 presents an oil supply/demand balance for the world, in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries.

  1. Targeting Net Zero Energy for Military Installations (Presentation)

    SciTech Connect (OSTI)

    Burman, K.

    2012-05-01

    Targeting Net Zero Energy for Military Installations in Kaneohe Bay, Hawaii. A net zero energy installation (NZEI) is one that produces as much energy from on-site renewable sources as it consumes. NZEI assessment provides a systematic approach to energy projects.

  2. International petroleum statistics report

    SciTech Connect (OSTI)

    1997-05-01

    The International Petroleum Statistics Report is a monthly publication that provides current international oil data. This report is published for the use of Members of Congress, Federal agencies, State agencies, industry, and the general public. Publication of this report is in keeping with responsibilities given the Energy Information Administration in Public Law 95-91. The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  3. Electrohydraulic Forming of Near-Net Shape Automotive Panels

    SciTech Connect (OSTI)

    Golovaschenko, Sergey F.

    2013-09-26

    The objective of this project was to develop the electrohydraulic forming (EHF) process as a near-net shape automotive panel manufacturing technology that simultaneously reduces the energy embedded in vehicles and the energy consumed while producing automotive structures. Pulsed pressure is created via a shockwave generated by the discharge of high voltage capacitors through a pair of electrodes in a liquid-filled chamber. The shockwave in the liquid initiated by the expansion of the plasma channel formed between two electrodes propagates towards the blank and causes the blank to be deformed into a one-sided die cavity. The numerical model of the EHF process was validated experimentally and was successfully applied to the design of the electrode system and to a multi-electrode EHF chamber for full scale validation of the process. The numerical model was able to predict stresses in the dies during pulsed forming and was validated by the experimental study of the die insert failure mode for corner filling operations. The electrohydraulic forming process and its major subsystems, including durable electrodes, an EHF chamber, a water/air management system, a pulse generator and integrated process controls, were validated to be capable to operate in a fully automated, computer controlled mode for forming of a portion of a full-scale sheet metal component in laboratory conditions. Additionally, the novel processes of electrohydraulic trimming and electrohydraulic calibration were demonstrated at a reduced-scale component level. Furthermore, a hybrid process combining conventional stamping with EHF was demonstrated as a laboratory process for a full-scale automotive panel formed out of AHSS material. The economic feasibility of the developed EHF processes was defined by developing a cost model of the EHF process in comparison to the conventional stamping process.

  4. Sandia Energy - Statistical Mechanics with Density Functional...

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

    Statistical Mechanics with Density Functional Theory Accuracy Home Highlights - HPC Statistical Mechanics with Density Functional Theory Accuracy Previous Next Statistical...

  5. Next Generation Manufacturing Processes | Department of Energy

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

    Research & Development Projects » Next Generation Manufacturing Processes Next Generation Manufacturing Processes New process technologies can rejuvenate U.S. manufacturing. Novel processing concepts can open pathways to double net energy productivity, enabling rapid manufacture of energy-efficient, high-quality products at competitive cost. Four process technology areas are expected to generate large energy, carbon, and economic benefits across the manufacturing sector. Click the areas

  6. Statistical physics ""Beyond equilibrium

    SciTech Connect (OSTI)

    Ecke, Robert E

    2009-01-01

    The scientific challenges of the 21st century will increasingly involve competing interactions, geometric frustration, spatial and temporal intrinsic inhomogeneity, nanoscale structures, and interactions spanning many scales. We will focus on a broad class of emerging problems that will require new tools in non-equilibrium statistical physics and that will find application in new material functionality, in predicting complex spatial dynamics, and in understanding novel states of matter. Our work will encompass materials under extreme conditions involving elastic/plastic deformation, competing interactions, intrinsic inhomogeneity, frustration in condensed matter systems, scaling phenomena in disordered materials from glasses to granular matter, quantum chemistry applied to nano-scale materials, soft-matter materials, and spatio-temporal properties of both ordinary and complex fluids.

  7. BEopt: Software for Identifying Optimal Building Designs on the Path to Zero Net Energy; Preprint

    SciTech Connect (OSTI)

    Christensen, C.; Horowitz, S.; Givler, T.; Courtney, A.; Barker, G.

    2005-04-01

    A zero net energy (ZNE) building produces as much energy on-site as it uses on an annual basis--using a grid-tied, net-metered photovoltaic (PV) system and active solar. The optimal path to ZNE extends from a base case to the ZNE building through a series of energy-saving building designs with minimal energy-related owning and operating costs. BEopt is a computer program designed to find optimal building designs along the path to ZNE. A user selects from among predefined options in various categories to specify options to be considered in the optimization. Energy savings are calculated relative to a reference. The reference can be either a user-defined base-case building or a climate-specific Building America Benchmark building automatically generated by BEopt. The user can also review and modify detailed information on all available options and the Building America Benchmark in a linked options library spreadsheet.

  8. statistics | OpenEI Community

    Open Energy Info (EERE)

    statistics Home Rmckeel's picture Submitted by Rmckeel(297) Contributor 8 November, 2012 - 12:58 OpenEI dashboard Google Analytics mediawiki OpenEI statistics wiki OpenEI web...

  9. The net utility revenue impact of small power producing facilities operating under spot pricing policies

    SciTech Connect (OSTI)

    MacGregor, P.R.

    1989-01-01

    The National Energy Act, in general, and Section 210 of the Public Utilities Regulatory Policies Act (PURPA) of 1978 in particular, have dramatically stimulated increasing levels of independent non-utility power generation. As these levels of independent non-utility power generation increase, the electric utility is subjected to new and significant operational and financial impacts. One important concern is the net revenue impact on the utility which is the focus of the research discussed in this thesis and which is inextricably intertwined with the operational functions of the utility system. In general, non-utility generation, and specifically, cogeneration, impact utility revenues by affecting the structure and magnitude of the system load, the scheduling of utility generation, and the reliability of the composite system. These effects are examined by developing a comprehensive model non-utility independent power producing facilities, referenced as Small Power Producing Facilities, a cash-flow-based corporate model of the electric utility, a thermal plant based generation scheduling algorithm, and a system reliability evaluation. All of these components are integrated into an iterative closed loop solution algorithm to both assess and enhance the net revenue. In this solution algorithm, the spot pricing policy of the utility is the principal control mechanism in the process and the system reliability is the primary procedural constraint. A key issue in reducing the negative financial impact of non-utility generation is the possibility of shutting down utility generation units given sufficient magnitudes of non-utility generation in the system. A case study simulating the financial and system operations of the Georgia Power Company with representative cogeneration capacity and individual plant characteristics is analyzed in order to demonstrate the solution process.

  10. Missouri Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Missouri Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 -26 -13 -14 47 -10 5 10 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Liquefied

  11. Colorado Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Colorado Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Liquefied Natural Gas

  12. Maine Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Maine Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -86 15 -85 5 12 6 0 0 4 1990's -4 1 4 -2 5 3 4 -2 17 15 2000's 12 0 6 51 22 34 18 -21 0 -33 2010's -25 -18 2 1 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net

  13. Alaska Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Alaska Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's -2,581 1980's 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's -1 1 0 0 0 0 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Liquefied

  14. Alaska Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Alaska Natural Gas Underground Storage Net Withdrawals All Operators (Million 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 -16,327 -13,253 -15,555 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Natural Gas

  15. Texas Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Liquefied Natural Gas from Storage Texas Liquefied Natural Gas Additions to and Withdrawals from Storage Net Withdrawals of Liquefied Natural Gas from

  16. Connecticut Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Connecticut Natural Gas Underground Storage Net Withdrawals All Operators (Million 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 -242 501 1,271 1990's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of

  17. Delaware Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Delaware Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's -294 -245 699 1970's 211 -189 -255 -549 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net

  18. Georgia Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Georgia Natural Gas Underground Storage Net Withdrawals All Operators (Million 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 -90 -339 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Natural Gas from

  19. Idaho Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Idaho Natural Gas Underground Storage Net Withdrawals All Operators (Million 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 -112 -395 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Natural Gas from Underground

  20. Wisconsin Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Wisconsin Natural Gas Underground Storage Net Withdrawals All Operators (Million 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 -166 331 428 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Natural Gas from

  1. Innovation that Improves Safety, Efficiency of Energy Plant Operations Nets

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

    R&D 100 Award for NETL, WVU and Schneider Electric Researchers | Department of Energy Innovation that Improves Safety, Efficiency of Energy Plant Operations Nets R&D 100 Award for NETL, WVU and Schneider Electric Researchers Innovation that Improves Safety, Efficiency of Energy Plant Operations Nets R&D 100 Award for NETL, WVU and Schneider Electric Researchers November 20, 2015 - 8:28am Addthis Innovation that Improves Safety, Efficiency of Energy Plant Operations Nets R&D

  2. International petroleum statistics report

    SciTech Connect (OSTI)

    1995-07-27

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  3. International petroleum statistics report

    SciTech Connect (OSTI)

    1995-11-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1994; OECD stocks from 1973 through 1994; and OECD trade from 1984 through 1994.

  4. International petroleum statistics report

    SciTech Connect (OSTI)

    1996-10-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. Word oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1985 through 1995.

  5. International petroleum statistics report

    SciTech Connect (OSTI)

    1996-05-01

    The International Petroleum Statistics Report presents data on international oil production, demand, imports, exports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent twelve months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1995; OECD stocks from 1973 through 1995; and OECD trade from 1084 through 1994.

  6. International petroleum statistics report

    SciTech Connect (OSTI)

    1997-07-01

    The International Petroleum Statistics Report is a monthly publication that provides current international data. The report presents data on international oil production, demand, imports, and stocks. The report has four sections. Section 1 contains time series data on world oil production, and on oil demand and stocks in the Organization for Economic Cooperation and Development (OECD). This section contains annual data beginning in 1985, and monthly data for the most recent two years. Section 2 presents an oil supply/demand balance for the world. This balance is presented in quarterly intervals for the most recent two years. Section 3 presents data on oil imports by OECD countries. This section contains annual data for the most recent year, quarterly data for the most recent two quarters, and monthly data for the most recent 12 months. Section 4 presents annual time series data on world oil production and oil stocks, demand, and trade in OECD countries. World oil production and OECD demand data are for the years 1970 through 1996; OECD stocks from 1973 through 1996; and OECD trade from 1986 through 1996.

  7. Application for a Certificate of Public Good for Net Metered...

    Open Energy Info (EERE)

    Certificate of Public Good for Net Metered Power Systems that are Non-Photovoltaic Systems Up to 150 kW (AC) in Capacity Jump to: navigation, search OpenEI Reference LibraryAdd to...

  8. San Antonio City Public Service (CPS Energy)- Net Metering

    Broader source: Energy.gov [DOE]

    Net metering is available to customers of CPS Energy. There is no aggregate capacity limit or maximum system size. There are also no commissioning fees or facilities charges for customers.

  9. Fermilab | Newsroom | Press Releases | September 27, 2012: QuarkNet...

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

    RELEASE QuarkNet program receives 6.1 million NSF award to advance science education Hi-res | Med-res Steven Grosland, physics teacher at Glenbrook South High School in...

  10. NetMOD Version 2.0 Parameters

    SciTech Connect (OSTI)

    Merchant, Bion J.

    2015-08-01

    NetMOD ( Net work M onitoring for O ptimal D etection) is a Java-based software package for conducting simulation of seismic, hydroacoustic and infrasonic networks. Network simulations have long been used to study network resilience to station outages and to determine where additional stations are needed to reduce monitoring thresholds. NetMOD makes use of geophysical models to determine the source characteristics, signal attenuation along the path between the source and station, and the performance and noise properties of the station. These geophysical models are combined to simulate the relative amplitudes of signal and noise that are observed at each of the stations. From these signal-to-noise ratios (SNR), the probability of detection can be computed given a detection threshold. This document describes the parameters that are used to configure the NetMOD tool and the input and output parameters that make up the simulation definitions.

  11. ARM - Reading netCDF, HDF, and GRIB Files

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

    GRIB data. The XDC is using GrADS to convert ECMWF GRIB to netCDF. NCL (NCAR Command Language) : software including NCAR Graphics for scientific data processing and...

  12. ,"Texas Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    ,,"(202) 586-8800",,,"1012015 11:00:54 AM" "Back to Contents","Data 1: Texas Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070TX2"...

  13. ,"Kansas Natural Gas Underground Storage Net Withdrawals (MMcf...

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

    ,,"(202) 586-8800",,,"01292016 2:35:48 PM" "Back to Contents","Data 1: Kansas Natural Gas Underground Storage Net Withdrawals (MMcf)" "Sourcekey","N5070KS2"...

  14. Historic Railroad Building Goes Net Zero | Department of Energy

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

    In addition to its net-zero power consumption and geothermal technology, the building itself is made from sustainable materials. The floors on the first level of the building are ...

  15. American PowerNet (Maryland) | Open Energy Information

    Open Energy Info (EERE)

    Maryland) Jump to: navigation, search Name: American PowerNet Place: Maryland Phone Number: (877) 977-2636 or (610) 372-8500 Website: www.americanpowernet.com Outage Hotline:...

  16. American PowerNet (District of Columbia) | Open Energy Information

    Open Energy Info (EERE)

    American PowerNet Place: District of Columbia References: EIA Form EIA-861 Final Data File for 2010 - File220101 EIA Form 861 Data Utility Id 49730 This article is a stub. You...

  17. American PowerNet (New Jersey) | Open Energy Information

    Open Energy Info (EERE)

    American PowerNet Abbreviation: APN Place: New Jersey Phone Number: 877-977-2636 Website: www.americanpowernet.comindex Outage Hotline: 877-977-2636 References: EIA Form EIA-861...

  18. ,"New Hampshire Natural Gas LNG Storage Net Withdrawals (MMcf...

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

    Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2013 ,"Release Date:","2292016" ,"Next Release Date:","3312016" ,"Excel File Name:","na1350snh2a.xls" ,"Available from Web ...

  19. North America's net terrestrial CO2 exchange with the atmosphere...

    Office of Scientific and Technical Information (OSTI)

    a synthesis of net land-atmosphere CO2 exchange for North America (Canada, United States, and Mexico) over the period 1990-2009. Only CO2 is considered, not methane or...

  20. U.S. Total Weekly Refiner & Blender Net Production

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

    & Blender Net Production (Thousand Barrels per Day) Area: U.S. PADD 1 New England Central Atlantic Lower Atlantic PADD 2 PADD 3 PADD 4 PADD 5 PADD's 4 & 5 Period: Weekly 4-Week...

  1. Instructions for Submitting Documents to OpenNet

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

    If you don't already have one, go to the OpenNet web site at: http:www.osti.govopennet. ... and document images: through a 475.1 web form which gets information for one ...

  2. Net Requirements Transparency Process for Slice/Block and Block...

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

    3 As part of its Net Requirements Transparency process, on July 31, 2013 BPA published the SliceBlock and Block customers' FY2012 and forecast FY2014 Total Retail Load (TRL) and...

  3. From: Michael McCabe [mailto:michaeljmccabe@verizon.net

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

    Michael McCabe mailto:michaeljmccabe@verizon.net Sent: Saturday, March 28, 2015 7:55 AM To: Cohen, Daniel Subject: Nats Games Dan, here are the games that we have tickets for. As...

  4. Army Net Zero: Guide to Renewable Energy Conservation Investment Program

    Office of Environmental Management (EM)

    (ECIP) Projects | Department of Energy Net Zero: Guide to Renewable Energy Conservation Investment Program (ECIP) Projects Army Net Zero: Guide to Renewable Energy Conservation Investment Program (ECIP) Projects This guide is intended to serve as a desk reference for energy managers at Army installations who are preparing renewable energy (RE) Energy Conservation Investment Program (ECIP) applications. The guide provides practical information on six RE technologies and walks the energy

  5. Collective Impact for Zero Net Energy Homes | Department of Energy

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

    Collective Impact for Zero Net Energy Homes Collective Impact for Zero Net Energy Homes This presentation was delivered at the U.S. Department of Energy Building America meeting on April 29-30, 2013, in Denver, Colorado. PDF icon collective_impact_znerh_rashkin.pdf More Documents & Publications Update on U.S. Department of Energy Building America Program Goals Update on U.S. Department of Energy Building America Program Goals Building America Roadmap to High

  6. ARM - Historical Field Campaign Statistics

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

    Field Campaign Statistics 2016 Quarterly Reports First Quarter (PDF) Second Quarter (PDF) Third Quarter (PDF) Fourth Quarter (PDF) Past Quarterly Reports Historical Statistics Field Campaigns Operational Visitors and Accounts Data Archive and Usage (October 1995 - Present) Historical Field Campaign Statistics ARM Climate Research Facility users regularly conduct field campaigns to augment routine data acquisitions and to test and validate new instruments. Since the ARM Program began operations

  7. Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial...

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

    Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial Buildings Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation A Common Definition for ...

  8. Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii...

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

    Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment...

  9. ,"Net Energy For Load (Annual)",,"Contiguous U.S. ","Eastern...

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

    b. Historical Net Energy For Load, Actual by North American Electric Reliability Corporation Region, 2005 through 2009. " ,"(Thousands of Megawatthours)" ,"Net Energy For Load ...

  10. Decision Support for Water Planning: the ZeroNet Water-Energy Initiative.

    SciTech Connect (OSTI)

    Rich, P. M.; Weintraub, Laura H. Z.; Ewers, Mary E.; Riggs, T. L.; Wilson, C. J.

    2005-01-01

    Rapid population growth and severe drought are impacting water availability for all sectors (agriculture, energy, municipal, industry...), particularly in arid regions. New generation decision support tools, incorporating recent advances in informatics and geographic information systems (GIS), are essential for responsible water planning at the basin scale. The ZeroNet water-energy initiative is developing a decision support system (DSS) for the San Juan River Basin, with a focus on drought planning and economic analysis. The ZeroNet DSS provides a computing environment (cyberinfrastructure) with three major components: Watershed Tools, a Quick Scenario Tool, and a Knowledge Base. The Watershed Tools, based in the Watershed Analysis Risk Management Framework (WARMF), provides capabilities (1) to model surface flows, both the natural and controlled, as well as water withdrawals, via an engineering module, and (2) to analyze and visualize results via a stakeholder module. A new ZeroNet module for WARMF enables iterative modeling and production of 'what if' scenario libraries to examine consequences of changes in climate, landuse, and water allocation. The Quick Scenario Tool uses system dynamics modeling for rapid analysis and visualization for a variety of uses, including drought planning, economic analysis, evaluation of management alternatives, and risk assessment. The Knowledge Base serves simultaneously as the 'faithful scribe' to organize and archive data in easily accessible digital libraries, and as the 'universal translator' to share data from diverse sources and for diverse uses. All of the decision tools depend upon GIS capabilities for data/model integration, map-based analysis, and advanced visualization. The ZeroNet DSS offers stakeholders an effective means to address complex water problems.

  11. Illinois Nuclear Profile - Braidwood Generation Station

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

    Braidwood Generation Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 1,"1,178","9,197",89.1,"PWR","application/vnd.ms-excel","application/vnd.ms-excel"

  12. Illinois Nuclear Profile - Byron Generating Station

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

    Byron Generating Station" ,"Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 1,"1,164","10,337",101.4,"PWR","application/vnd.ms-excel","application/vnd.ms-excel"

  13. Current generation by minority species heating

    SciTech Connect (OSTI)

    Fisch, N.J.

    1980-07-01

    It is proposed that electric currents be generated from the preferential heating of ions traveling in one direction but with no net momentum injected into the system. This can be accomplished with, for example, traveling waves in a two-ion-species plasma. The current can be generated efficiently enough for the scheme to be of interest in maintaining steady-state toroidal currents in a reactor.

  14. Moore named an American Statistical Society Fellow

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

    Moore named an American Statistical Society Fellow Moore named an American Statistical Society Fellow The ASA inducted Leslie (Lisa) Moore as a Fellow at the 2014 Joint Statistical...

  15. Computing contingency statistics in parallel.

    SciTech Connect (OSTI)

    Bennett, Janine Camille; Thompson, David; Pebay, Philippe Pierre

    2010-09-01

    Statistical analysis is typically used to reduce the dimensionality of and infer meaning from data. A key challenge of any statistical analysis package aimed at large-scale, distributed data is to address the orthogonal issues of parallel scalability and numerical stability. Many statistical techniques, e.g., descriptive statistics or principal component analysis, are based on moments and co-moments and, using robust online update formulas, can be computed in an embarrassingly parallel manner, amenable to a map-reduce style implementation. In this paper we focus on contingency tables, through which numerous derived statistics such as joint and marginal probability, point-wise mutual information, information entropy, and {chi}{sup 2} independence statistics can be directly obtained. However, contingency tables can become large as data size increases, requiring a correspondingly large amount of communication between processors. This potential increase in communication prevents optimal parallel speedup and is the main difference with moment-based statistics where the amount of inter-processor communication is independent of data size. Here we present the design trade-offs which we made to implement the computation of contingency tables in parallel.We also study the parallel speedup and scalability properties of our open source implementation. In particular, we observe optimal speed-up and scalability when the contingency statistics are used in their appropriate context, namely, when the data input is not quasi-diffuse.

  16. Appendix I3-1 to Wind HUI Initiative 1: AWST-WindNET-Phase 1 Final Report

    SciTech Connect (OSTI)

    John Zack

    2012-07-15

    This report is an appendix to the Hawaii WindHUI efforts to develop and operationalize short-term wind forecasting and wind ramp event forecasting capabilities. The report summarizes the WindNET Phase 1 efforts on the Big Island of Hawaii and includes descriptions of modeling methodologies, use of field validation data, results and recommendations. The objective of the WindNET project was to investigate the improvement that could be obtained in short-term wind power forecasting for wind generation facilities operating on the island grids operated by Hawaiian Electric Companies through the use of atmospheric sensors deployed at targeted locations. WindNET is envisioned as a multiphase project that will address the short-term wind forecasting issues of all of the wind generation facilities on the all of the Hawaiian Electric Companies' island grid systems. The first phase of the WindNET effort (referred to as WindNET-1) was focused on the wind generation facilities on the Big Island of Hawaii. With complex terrain and marine environment, emphasis was on improving the 0 to 6 hour forecasts of wind power ramps and periods of wind variability, with a particular interest in the intra-hour (0-1 hour) look-ahead period. The WindNET project was built upon a foundation that was constructed with the results from a previously completed observation targeting study for the Big Island that was conducted as part of a project supported by the National Renewable Energy Laboratory (NREL) and interactions with the western utilities. The observational targeting study provided guidance on which variables to measure and at what locations to get the most improvement in forecast performance at a target forecast site. The recommendations of the observation targeting study were based on the application two techniques: (1) an objective method called ensemble sensitivity analysis (ESA) (Ancell and Hakim, 2007; Torn and Hakim, 2008; Zack et al, 2010); and (2) a subjective method based on a diagnostic analysis of large ramp events. The analysis was completed for both the wind farm on the southern tip of the Big Island and on the northern tip of the island. The WindNET project was designed to also deploy sensors to validate the Big Island observational targeting study and enhance operator's understanding of predominate causes of wind variability conditions at the wind facilities. Compromises had to be made with the results from the observation targeting study to accommodate project resource limitations, availability of suitable sites, and other factors. To focus efforts, field sensor deployment activities focused on the wind facility on the southern point of Big Island.

  17. Generation Planning (pbl/generation)

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

    Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Generation Planning Thumbnail image of BPA White Book BPA White Book (1998-2014) Draft Dry...

  18. Jamaica National Net-Billing Pilot Program Evaluation

    SciTech Connect (OSTI)

    Doris, Elizabeth; Stout, Sherry; Peterson, Kimberly

    2015-12-18

    This technical report discusses the effectiveness of the Jamaica Public Service Company Limited Net-Billing Pilot Program. The National Renewable Energy Laboratory (NREL) collected and analyzed data from a wide range of stakeholders, conducted in-country research, and compared program elements to common interconnection practices to form programmatic recommendations for the Jamaica context. NREL finds that the net-billing pilot program has successfully contributed to the support of the emerging solar market in Jamaica with the interconnection of 80 systems under the program for a total of 1.38 megawatts (MW) at the time of original analysis.

  19. NetSim Project contributions to ns-3

    Energy Science and Technology Software Center (OSTI)

    2012-05-01

    ns-3 is an external (non-LLNL) open-source framework for modeling computer networks. The LLNL NetSim project uses the ns-3 framework to address specific questions in computer network design, operation, and security. As part of the NetSim work, we develop bug fixes, deature enhancements, and new capabilities for the ns-3 framework. The virtual package referenced here, ns-3-contrib, consists of those developments we have (or will) contribute back to the ns-3 project in source code form, for inclusionmore » in future releases of ns-3.« less

  20. Targeting Net Zero Energy at Fort Carson: Assessment and Recommendations

    SciTech Connect (OSTI)

    Anderson, K.; Markel, T.; Simpson, M.; Leahey, J.; Rockenbaugh, C.; Lisell, L.; Burman, K.; Singer, M.

    2011-10-01

    The U.S. Army's Fort Carson installation was selected to serve as a prototype for net zero energy assessment and planning. NREL performed the comprehensive assessment to appraise the potential of Fort Carson to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations. This study is part of a larger cross-laboratory effort that also includes an assessment of renewable opportunities at seven other DoD Front Range installations, a microgrid design for Fort Carson critical loads and an assessment of regulatory and market-based barriers to a regional secure smart grid.

  1. Minnesota Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Minnesota Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -589 739 -295 -493 431 -234 3,636 621 4,442 -462 1990's 44 -70 213 466 630 -985 2,128 -29 -36 312 2000's -964 265 -160 81 128 -588 93 82 65 703 2010's 54 22 -545 255 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  2. Nebraska Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Nebraska Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 95 -54 -286 162 -70 -136 -48 14 132 -204 1990's 339 -119 111 65 26 -134 127 122 -351 176 2000's -132 348 -31 -83 -8 121 -122 18 -15 -10 2010's 39 -73 -140 280 -202 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  3. Nevada Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Nevada Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 289 149 68 89 110 256 -170 205 1990's -548 728 -71 9 -30 31 72 61 -31 -29 2000's -17 1 6 21 -1 8 -55 -73 17 -76 2010's -69 -42 -63 -57 16 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  4. Connecticut Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Connecticut Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -820 701 -1,356 -385 544 -187 198 121 75 -604 1990's 822 -103 -355 -29 -61 -373 680 94 66 -66 2000's -471 -169 182 140 -91 -240 -286 102 207 164 2010's 178 129 260 -68 -327 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  5. Delaware Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Delaware Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 113 -3 -3 -29 39 7 -71 -60 4 -38 1990's 6 7 -5 3 23 -1 11 -8 8 31 2000's 83 10 -43 -28 -10 7 -1 -6 17 3 2010's -2 -31 51 -68 29 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016

  6. Idaho Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Idaho Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 19 132 -16 -52 -634 -932 -86 334 165 1990's 23 113 -47 51 182 -29 -25 32 -460 492 2000's -361 307 -42 91 120 143 -140 -99 -147 387 2010's 70 -19 139 -259 -676 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  7. Illinois Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Illinois Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -41 22 47 -530 653 -205 -270 -96 69 -579 1990's 580 -229 222 -31 9 -12 -289 -200 -351 241 2000's -370 231 -283 -548 -58 402 119 132 -381 -260 2010's 74 127 419 -322 -442 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  8. Indiana Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Indiana Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -129 204 1,991 -498 1,878 429 615 541 6,077 344 1990's 230 595 -339 738 -95 -239 -234 653 486 582 2000's -480 223 -376 -28 -187 236 -275 86 -766 -590 2010's 835 -380 -977 -81 771 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  9. Iowa Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Iowa Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -609 -259 726 -1,220 1,015 -813 -496 -208 -171 292 1990's 541 1,343 412 75 346 -651 1,978 241 280 72 2000's -53 -411 -743 -1,077 761 219 -899 -115 -166 -244 2010's 146 14 428 -151 -647 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  10. Alabama Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Alabama Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 185 30 66 -580 459 -459 132 -46 164 -422 1990's 456 -19 239 215 448 -164 -303 425 32 -219 2000's -285 -136 298 -47 19 114 -7 -209 -73 178 2010's -21 -75 -22 63 -206 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  11. Arkansas Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Arkansas Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 14 -19 -11 -34 36 -8 4 9 -12 -32 1990's 106 -11 -1 9 5 -27 -85 -11 2 -1 2000's -1 -2 4 52 -36 -20 12 -3 -21 -24 2010's 2 -7 9 12 14 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016

  12. California Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) California Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -916 -105 19 -430 -335 -207 -5 0 -11 0 1990's 0 32 -38 -24 -80 -33 -13 -58 -114 -59 2000's 234 -1 4 3 -1 -31 -16 10 -1 -5 2010's 2 7 -5 3 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  13. Demand response compensation, net Benefits and cost allocation: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-11-15

    FERC's Supplemental Notice of Public Rulemaking addresses the question of proper compensation for demand response in organized wholesale electricity markets. Assuming that the Commission would proceed with the proposal ''to require tariff provisions allowing demand response resources to participate in wholesale energy markets by reducing consumption of electricity from expected levels in response to price signals, to pay those demand response resources, in all hours, the market price of energy for such reductions,'' the Commission posed questions about applying a net benefits test and rules for cost allocation. This article summarizes critical points and poses implications for the issues of net benefit tests and cost allocation. (author)

  14. Fresnel reflection from a cavity with net roundtrip gain

    SciTech Connect (OSTI)

    Mansuripur, Tobias S.; Mansuripur, Masud

    2014-03-24

    A planewave incident on an active etalon with net roundtrip gain may be expected to diverge in field amplitude, yet applying the Fresnel formalism to Maxwell's equations admits a convergent solution. We describe this solution mathematically and provide additional insight by demonstrating the response of such a cavity to an incident beam of light. Cavities with net roundtrip gain have often been overlooked in the literature, and a clear understanding of their behavior yields insight to negative refraction in nonmagnetic media, a duality between loss and gain, amplified total internal reflection, and the negative-index lens.

  15. Net Zero Waste - Tools and Technical Support ...and other observations |

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

    Department of Energy Net Zero Waste - Tools and Technical Support ...and other observations Net Zero Waste - Tools and Technical Support ...and other observations Presentation at Waste-to-Energy using Fuel Cells Webinar, July 13, 2011 PDF icon wte_doe-dod_wkshp71311_usarmy.pdf More Documents & Publications DOD -DOE MOU WTE Using Fuel Cells Briefing Waste-to-Energy Technologies and Project Development Report of the DOD-DOE Workshop on Converting Waste to Energy Using Fuel Cells: Workshop

  16. ,"Weekly Refiner Net Production"

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

    Refiner Net Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Weekly Refiner Net Production",21,"Weekly","3/11/2016","6/4/2010" ,"Release Date:","3/16/2016" ,"Next Release Date:","3/23/2016" ,"Excel File

  17. Massachusetts Natural Gas Underground Storage Net Withdrawals All Operators

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

    (Million Cubic Feet) Net Withdrawals All Operators (Million Cubic Feet) Massachusetts Natural Gas Underground Storage Net Withdrawals All Operators (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's -174 -102 253 1970's -200 -96 -1,074 2,468 1,707 -2,185 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring

  18. Oregon Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Oregon Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -13 -3 -1 -124 32 178 -346 -122 560 49 1990's -249 220 -33 -222 -257 114 -246 48 -256 73 2000's 208 19 -70 15 -3 217 -119 -136 -222 247 2010's -53 -25 -16 -50 111 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016

  19. Pennsylvania Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Pennsylvania Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -869 967 -292 -1,120 1,448 -627 259 1,135 -163 -1,974 1990's 2,632 -22 72 -204 797 -398 867 -1,237 533 669 2000's -206 2,063 -958 -809 689 278 -628 -393 151 -690 2010's 39 206 889 -82 -1,132 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  20. NREL: Technology Deployment - Kaupuni Village: The First Net-Zero

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

    Affordable Housing Community in Hawaii Kaupuni Village: The First Net-Zero Affordable Housing Community in Hawaii Photo of a a family standing in front of solar panels The Young family, shown here, was one of 19 families given the opportunity to purchase a home in Kaupuni Village. Today, they are passionate about net-zero living, growing their own fish and vegetables among many other activities. May 21, 2012 When 85% of the energy is supplied by imported petroleum and the average homeowner's

  1. Virginia Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Virginia Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -7 -5 -14 -87 41 -3 -49 4 -29 -6 1990's 48 -71 6 -102 -121 -62 17 108 -142 126 2000's 146 56 -543 -400 0 -168 24 79 58 81 2010's -207 1,588 1,296 40 28 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  2. Washington Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Washington Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 0 0 0 0 0 1990's -8 2 -471 -4,718 640 -153 -72 48 -877 761 2000's 90 -87 18 4 -63 10 380 195 -657 532 2010's 0 100 16 -77 -1,094 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  3. Wisconsin Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Wisconsin Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -76 87 76 -93 110 -20 -74 -90 81 54 1990's -10 35 -59 2 -50 85 -60 51 -21 -61 2000's -40 -26 8 -9 45 -23 36 78 51 -18 2010's -29 20 -67 13 58 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  4. Minnesota Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Minnesota Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 120 567 -69 -477 -330 -112 -133 -48 -61 -27 3 387 1991 361 223 96 -160 -257 -312 -291 4 -93 32 77 53 1992 426 123 311 198 -391 -307 -299 -184 -126 4 7 193 1993 395 417 417 41 -331 -358 -426 -134 -248 -87 75 310 1994 497 184 180 145 -342 -374 -371 -207 -150 2 3 68 1995 491 456 246 44 -331 -262

  5. Connecting to the Grid: A Guide to Distributed Generation Interconnection

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

    Issues, 6th Edition, 2009 | Department of Energy Connecting to the Grid: A Guide to Distributed Generation Interconnection Issues, 6th Edition, 2009 Connecting to the Grid: A Guide to Distributed Generation Interconnection Issues, 6th Edition, 2009 The sixth edition of this guide addresses new and lingering issues relevant to all distributed generation technologies, including net excess generation, third-party ownership, energy storage and networks. This publication also discusses standards.

  6. Key China Energy Statistics 2011

    SciTech Connect (OSTI)

    Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia

    2012-01-15

    The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). In 2008 the Group published the Seventh Edition of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agencys Key World Energy Statistics series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.

  7. Key China Energy Statistics 2012

    SciTech Connect (OSTI)

    Levine, Mark; Fridley, David; Lu, Hongyou; Fino-Chen, Cecilia

    2012-05-01

    The China Energy Group at Lawrence Berkeley National Laboratory (LBNL) was established in 1988. Over the years the Group has gained recognition as an authoritative source of China energy statistics through the publication of its China Energy Databook (CED). The Group has published seven editions to date of the CED (http://china.lbl.gov/research/chinaenergy-databook). This handbook summarizes key statistics from the CED and is expressly modeled on the International Energy Agencys Key World Energy Statistics series of publications. The handbook contains timely, clearly-presented data on the supply, transformation, and consumption of all major energy sources.

  8. Distributed Generation

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

    Untapped Value of Backup Generation While new guidelines and regulations such as IEEE (Institute of Electrical and Electronics Engineers) 1547 have come a long way in addressing interconnection standards for distributed generation, utilities have largely overlooked the untapped potential of these resources. Under certain conditions, these units (primarily backup generators) represent a significant source of power that can deliver utility services at lower costs than traditional centralized

  9. Coal based electric generation comparative technologies report

    SciTech Connect (OSTI)

    Not Available

    1989-10-26

    Ohio Clean Fuels, Inc., (OCF) has licensed technology that involves Co-Processing (Co-Pro) poor grade (high sulfur) coal and residual oil feedstocks to produce clean liquid fuels on a commercial scale. Stone Webster is requested to perform a comparative technologies report for grassroot plants utilizing coal as a base fuel. In the case of Co-Processing technology the plant considered is the nth plant in a series of applications. This report presents the results of an economic comparison of this technology with other power generation technologies that use coal. Technologies evaluated were:Co-Processing integrated with simple cycle combustion turbine generators, (CSC); Co-Processing integrated with combined cycle combustion turbine generators, (CCC); pulverized coal-fired boiler with flue gas desulfurization and steam turbine generator, (PC) and Circulating fluidized bed boiler and steam turbine generator, (CFB). Conceptual designs were developed. Designs were based on approximately equivalent net electrical output for each technology. A base case of 310 MWe net for each technology was established. Sensitivity analyses at other net electrical output sizes varying from 220 MWe's to 1770 MWe's were also performed. 4 figs., 9 tabs.

  10. Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial

    Energy Savers [EERE]

    Buildings | Department of Energy 6 Crawley Drive for Net Zero Energy Commercial Buildings Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial Buildings PDF icon Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial Buildings More Documents & Publications Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial Buildings Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation A Common Definition for Zero Energy Buildings

  11. Electrohydraulic Forming of Near Net Shape Automotive Panels

    SciTech Connect (OSTI)

    2009-01-01

    This factsheet describes a research project whose goal is to develop the electrohydraulic forming (EHF) process as a near net shape automotive panel manufacturing technology that simultaneously reduces the energy embedded in vehicles and the energy consumed while producing automotive structures.

  12. Web Analytics and Statistics | Department of Energy

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

    User Experience Research & Statistics » Web Analytics and Statistics Web Analytics and Statistics EERE uses Google Analytics to capture statistics on its websites. These statistics help website managers measure and report on users, sessions, most visited pages, and more. The Web Template Coordinator can provide you with EERE's username and password and answer questions about your site statistics. Adding Google Analytics to EERE Websites In order for Google Analytics to capture statistics on

  13. Instructions for Submitting Document to OpenNet | Department of Energy

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

    Instructions for Submitting Document to OpenNet Instructions for Submitting Document to OpenNet Requesting an account to submit documents to OpenNet If you plan to load documents to OpenNet, you must have an OpenNet Logon Name and Password. If you don't already have one, go to the OpenNet web site at: http://www.osti.gov/opennet. Click on the LOGIN link on the top right. Read the information and check the "I agree..." box. Click on the "Request data submission access..." link

  14. Laser Engineered Net Shaping (LENS(TM)): A Tool for Direct Fabrication of Metal Parts

    SciTech Connect (OSTI)

    Atwood, C.; Ensz, M.; Greene, D.; Griffith, M.; Harwell, L.; Reckaway, D.; Romero, T.; Schlienger, E.; Smugeresky, J.

    1998-11-05

    For many years, Sandia National Laboratories has been involved in the development and application of rapid prototyping and dmect fabrication technologies to build prototype parts and patterns for investment casting. Sandia is currently developing a process called Laser Engineered Net Shaping (LENS~) to fabricate filly dense metal parts dwectly from computer-aided design (CAD) solid models. The process is similar to traditional laser-initiated rapid prototyping technologies such as stereolithography and selective laser sintering in that layer additive techniques are used to fabricate physical parts directly from CAD data. By using the coordinated delivery of metal particles into a focused laser beam apart is generated. The laser beam creates a molten pool of metal on a substrate into which powder is injected. Concurrently, the substrate on which the deposition is occurring is moved under the beam/powder interaction zone to fabricate the desired cross-sectiwal geometry. Consecutive layers are additively deposited, thereby producing a three-dmensional part. This process exhibits enormous potential to revolutionize the way in which metal parts, such as complex prototypes, tooling, and small-lot production parts, are produced. The result is a comple~ filly dense, near-net-shape part. Parts have been fabricated from 316 stainless steel, nickel-based alloys, H13 tool steel, and titanium. This talk will provide a general overview of the LENS~ process, discuss potential applications, and display as-processed examples of parts.

  15. Modeling distributed generation in the buildings sectors

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

    Modeling distributed generation in the buildings sectors August 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Modeling distributed generation in the buildings sectors i 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

  16. Next Generation Manufacturing Processes

    Broader source: Energy.gov [DOE]

    New process technologies can rejuvenate U.S. manufacturing. Novel processing concepts can open pathways to double net energy productivity, enabling rapid manufacture of energy-efficient, high...

  17. Georgia Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Georgia Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 534 -1,598 -1,359 -169 -203 -525 596 149 545 343 1990's 1,345 390 16 -42 -94 -1,464 -189 -153 -698 -1,403 2000's -1,126 6,210 2,397 -2,138 -1,052 -1,436 -5,737 1,323 2,481 1,972 2010's 379 2,542 1,378 1,205 3,085 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  18. Louisiana Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Louisiana Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 3,991 2,622 -3,556 0 0 0 0 0 1990's 1,697 558 448 -1,356 -429 308 -39 2,174 13,871 0 2000's 0 0 0 0 0 0 0 1,446 2010's 0 0 -24 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016

  19. Maryland Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Maryland Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -2,408 91 95 -159 150 -81 153 2 -7 -62 1990's 392 126 89 85 410 1,291 4,190 1,186 785 494 2000's -339 -761 -98 -1,789 -1,705 -2,703 3,122 -250 632 4,488 2010's -13 42 27 -5 41 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  20. Massachusetts Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Massachusetts Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -3,383 2,585 -1,618 -700 2,734 45 593 -2,043 -1,644 -6,447 1990's 308 -3,967 -1,844 -2,368 -6,820 -3,134 -5,364 -3,517 -7,243 -2,447 2000's -7,518 350 767 4,359 1,584 3,129 156 -1,560 -1,694 -1,221 2010's -963 -753 -1,384 -864 734 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  1. Colorado Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Colorado Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 4,337 4,797 5,190 3,883 309 -4,239 -6,215 -5,199 -5,007 -1,224 242 6,626 1991 3,318 1,714 5,949 3,331 -1,317 -3,831 -4,200 -4,430 -5,275 -1,759 -1,468 598 1992 5,804 2,758 6,690 4,146 368 -2,019 -4,177 -6,286 -5,922 -2,169 3,085 2,582 1993 4,633 7,123 4,322 3,979 -2,860 -5,276 -4,335 -5,066

  2. Iowa Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet)

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

    Underground Storage Net Withdrawals (Million Cubic Feet) Iowa Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 2,832 7,609 5,181 -148 -4,486 -4,736 -5,657 -5,928 -3,720 -3,912 1,953 14,310 1991 20,045 9,791 3,415 -1,298 -3,536 -8,983 -5,100 -6,433 -10,675 -10,757 4,997 13,739 1992 18,442 11,535 3,325 -2,061 -7,583 -7,264 -10,141 -10,162 -10,088 -8,683 7,997 18,942 1993 18,991 10,808 2,692 -5,197 -6,482 -7,776 -10,550

  3. East Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) East Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) East Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 237,678 179,804 106,232 -46,858 -136,399 -125,529 -106,553 -108,445 -116,239 -86,683 61,045 89,203 2015 206,803 194,649 98,736 -69,755 -143,443 -121,935 -90,489 -104,741 -93,904 -59,311 4,874 57,566 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  4. Tennessee Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) Tennessee Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's -1,643 -234 641 -1,245 1,073 -372 71 -93 56 -1,879 1990's 631 -401 -306 -268 106 -621 -1,175 -541 -1,746,367 -824 2000's -1,780 -667 -385 1,071 651 421 -269 -1,552 -1,324 -882 2010's -1,563 189 65 -1,262 -532 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  5. Louisiana Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Louisiana Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 2,439 -2,074 8,109 -669 -7,057 -14,173 -13,823 -13,760 -14,705 -15,181 -9,069 7,072 1991 48,879 30,368 10,947 -7,292 -19,263 -22,117 -11,877 -6,029 -18,632 -23,315 12,743 30,577 1992 42,343 24,031 10,774 -719 -19,021 -18,063 -13,811 -13,386 -16,545 -18,911 5,495 31,771 1993 42,366 38,260 19,889

  6. Lower 48 States Natural Gas Underground Storage Net Withdrawals (Million

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

    Cubic Feet) Lower 48 States Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Lower 48 States Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 798,985 584,421 146,319 -212,194 -399,411 -340,172 -243,618 -244,191 -398,130 -385,221 -37,590 383,241 2012 544,477 459,574 -34,987 -137,493 -284,231 -232,226 -134,343 -165,879 -290,456 -241,849 125,379 384,754 2013 721,687 605,009 380,314 -136,310

  7. Kansas Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet)

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

    Underground Storage Net Withdrawals (Million Cubic Feet) Kansas Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 3,632 10,174 5,905 2,064 -587 5,106 -11,583 -12,116 -15,641 -6,679 -4,510 21,682 1991 15,396 3,617 5,383 1,973 -6,552 -7,261 -2,559 -6,977 -10,203 -10,235 8,913 -2,317 1992 4,420 13,082 9,031 4,821 -2,161 -2,319 -4,255 -11,527 -10,142 -3,672 9,027 12,181 1993 19,567 16,242 5,193 -3,008 -23,351 -11,578 -5,301

  8. Kentucky Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Kentucky Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 7,009 -3,443 1,276 -952 -4,745 -5,360 -7,787 -7,006 -7,202 -3,309 4,438 5,964 1991 6,950 3,513 2,589 -3,809 -2,358 -3,297 -5,327 -3,162 -3,437 460 6,590 2,686 1992 1,568 1,211 4,848 1,675 1,236 -1,546 -3,544 -1,610 -4,201 -10,704 1,514 2,982 1993 5,891 11,750 10,031 793 -6,525 -7,919 -7,627

  9. Illinois Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Illinois Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 36,920 51,120 32,950 3,696 -30,874 -32,757 -29,394 -35,504 -33,537 -18,692 -594 40,741 1991 60,973 48,068 25,373 -2,559 -30,660 -29,798 -28,745 -34,057 -32,897 -26,390 17,558 34,113 1992 58,118 43,448 25,247 8,578 -31,163 -29,861 -28,140 -35,313 -32,462 -26,155 14,263 42,048 1993 63,751 53,114

  10. Indiana Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Indiana Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 4,651 3,709 1,605 -345 -1,751 -1,651 -2,257 -3,691 -4,174 -2,532 -744 3,768 1991 6,551 4,615 3,305 598 -1,770 -1,016 -2,813 -3,797 -4,467 -4,105 -802 4,626 1992 6,794 4,606 4,104 500 -1,206 -2,563 -5,123 -4,107 -5,203 -2,936 2,364 3,610 1993 5,575 5,021 2,557 -390 -1,247 -2,094 -4,346 -4,412

  11. Midwest Regions Natural Gas Underground Storage Net Withdrawals (Million

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

    Cubic Feet) Midwest Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Midwest Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 296,063 212,159 102,669 -41,683 -133,848 -154,212 -153,935 -163,132 -147,193 -111,005 74,778 118,280 2015 236,452 272,661 93,536 -56,557 -129,063 -127,490 -118,778 -139,059 -141,004 -122,971 3,645 102,720 - = No Data Reported; -- = Not Applicable; NA = Not

  12. Mississippi Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Mississippi Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 7,755 -319 -769 -4,788 -4,824 -3,171 -6,320 -4,873 -3,975 -3,382 -486 -5,646 1991 12,024 5,196 450 -6,146 -4,093 -3,178 -2,054 -2,102 -5,101 -3,107 7,864 6,130 1992 9,794 1,362 2,086 -106 -3,896 -7,931 -4,165 -297 -6,250 -267 998 6,940 1993 5,799 8,091 5,644 -2,656 -7,032 -4,628 -5,330 -3,295

  13. Missouri Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Missouri Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 -1,536 2,285 -251 -1,109 5 5 6 -282 -506 -221 -9 288 1991 163 1,790 1,053 -2,136 -683 -89 -295 -302 -212 -219 -199 12 1992 1,498 1,199 330 -1,570 -427 -146 -266 -218 -208 -191 8 7 1993 1,091 1,811 1,085 -1,551 -1,049 -451 -102 -317 -206 -215 122 -149 1994 1,266 530 278 2,155 -1,454 -1,355 -316

  14. Montana Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Montana Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 3,955 3,294 1,294 1,004 378 -993 -2,139 -2,068 -2,648 -1,258 1,500 4,819 1991 4,869 1,410 1,308 79 -1,225 -1,235 -1,711 -1,438 -120 1,379 2,875 3,548 1992 3,412 2,207 484 -63 -1,517 -714 -1,026 -766 280 1,357 3,347 5,601 1993 5,100 4,420 2,759 1,710 1,157 685 -1,169 -302 -453 88 4,106 3,207 1994

  15. Mountain Regions Natural Gas Underground Storage Net Withdrawals (Million

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

    Cubic Feet) Mountain Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Mountain Regions Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 36,887 35,320 19,358 1,434 -16,967 -22,706 -21,457 -17,858 -17,611 -12,768 12,630 22,941 2015 20,797 15,081 34 -2,853 -19,103 -19,419 -17,214 -15,317 -16,112 -11,462 5,213 21,235 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  16. Maryland Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Maryland Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 2,250 -3,160 -1,104 -732 -2,557 -1,057 -2,100 -2,660 -2,435 -1,237 2,125 991 1991 3,005 3,196 1,559 -903 -1,520 -1,590 -1,392 -2,061 -2,084 -800 -334 1,070 1992 3,314 5,269 2,840 958 -3,527 -2,867 -1,942 -2,546 -2,204 -1,333 -544 2,249 1993 4,189 5,170 2,455 613 -2,168 -1,119 -1,074 -1,646 -2,502

  17. Michigan Natural Gas Underground Storage Net Withdrawals (Million Cubic

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

    Feet) Underground Storage Net Withdrawals (Million Cubic Feet) Michigan Natural Gas Underground Storage Net Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 59,681 58,564 23,810 7,859 -48,468 -64,734 -75,437 -70,900 -52,873 -19,714 10,727 70,637 1991 116,396 63,462 23,719 -25,279 -47,963 -57,062 -58,225 -46,233 -27,703 -32,872 56,578 74,384 1992 82,535 72,236 62,627 -507 -43,850 -66,808 -73,161 -67,079 -67,401 -28,345 47,094 84,911 1993 96,216

  18. Table 6. Petroleum Net Imports, Projected vs. Actual

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

    Petroleum Net Imports, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2934.6,3201.05,3361.65,3504,3657.3,3737.6,3879.95,3993.1,4098.95,4212.1,4303.35,4398.25,4474.9,4540.6,4584.4,4639.15,4668.35,4672 "AEO

  19. Refinery & Blenders Net Input of Crude Oil

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

    Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquefied Petroleum Gases Ethane Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished

  20. NREL: Concentrating Solar Power Research - TroughNet Home Page

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

    Research TroughNet is a technical resource for evaluation of parabolic trough solar power plant technologies. Parabolic Trough Technology Parabolic trough solar technology offers the lowest cost solar electric option for large power plant applications. To learn more, read our technology overviews: A photo of a solar field featuring rows and rows of parabolic troughs at a power plant. Solar Field A photo of two, gray, thermal energy storage system tanks, which are very large, at a parabolic

  1. Electrohydraulic Forming of Near Net Shape Automotive Panels

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

    Electrohydraulic Forming of Near Net Shape Automotive Panels The Development of Advancing Automotive Panel Manufacturing for Increased Energy and Material Savings The U.S. automotive industry manufactures approximately 17 million vehicles annually that each contain 900 pounds of stamped steel sheet metal parts. The current technology predomi- nately used in automotive panel manufacturing is conventional stamping, which includes drawing, piercing, trimming, and fanging operations. These

  2. DOE FACT SHEET: Net Zero Retrofit Analysis Overview

    Office of Environmental Management (EM)

    FACT SHEET: Net Zero Retrofit Analysis Overview Sault Ste Marie Tribe of Chippewa Indians (SSM) was recognized as a Climate Action Champion (CAC) by The White House and the Department of Energy (DOE) in December 2014. In 2015, DOE released a Notice of Technical Assistance (NOTA) to provide CACs with additional opportunities for financial and technical assistance to support and advance their greenhouse gas emissions reduction and climate resilience objectives. SSM was an awardee of this Technical

  3. QUANTUM MECHANICS WITHOUT STATISTICAL POSTULATES

    SciTech Connect (OSTI)

    G. GEIGER; ET AL

    2000-11-01

    The Bohmian formulation of quantum mechanics describes the measurement process in an intuitive way without a reduction postulate. Due to the chaotic motion of the hidden classical particle all statistical features of quantum mechanics during a sequence of repeated measurements can be derived in the framework of a deterministic single system theory.

  4. OPF incorporating load models maximizing net revenue. [Optimal Power Flow

    SciTech Connect (OSTI)

    Dias, L.G.; El-Hawary, M.E. . Dept. of Electrical Engineering)

    1993-02-01

    Studies of effects of load modeling in optimal power flow studies using minimum cost and minimum loss objective reveal that a main disadvantage of cost minimization is the reduction of the objective via a reduction in the power demand. This inevitably results in lowering the total revenue and in most cases, reducing net revenue as well. An alternative approach for incorporating load models in security-constrained OPF (SCOPF) studies apparently avoids reducing the total power demand for the intact system, but reduces the voltages. A study of the behavior of conventional OPF solutions in the presence of loads not controlled by ULTC's shows that this result in a reducing the total power demand for the intact system. In this paper, the authors propose an objective that avoids the tendency to lower the total power demand, total revenue and net revenue, for OPF neglecting contingencies (normal OPF), as well as for security-constrained OPF. The minimum cost objective is modified by subtracting the total power demand from the total fuel cost. This is equivalent to maximizing the net revenue.

  5. Ideas for Effective Communication of Statistical Results

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

    Anderson-Cook, Christine M.

    2015-03-01

    Effective presentation of statistical results to those with less statistical training, including managers and decision-makers requires planning, anticipation and thoughtful delivery. Here are several recommendations for effectively presenting statistical results.

  6. Microwave generator

    DOE Patents [OSTI]

    Kwan, T.J.T.; Snell, C.M.

    1987-03-31

    A microwave generator is provided for generating microwaves substantially from virtual cathode oscillation. Electrons are emitted from a cathode and accelerated to an anode which is spaced apart from the cathode. The anode has an annular slit there through effective to form the virtual cathode. The anode is at least one range thickness relative to electrons reflecting from the virtual cathode. A magnet is provided to produce an optimum magnetic field having the field strength effective to form an annular beam from the emitted electrons in substantial alignment with the annular anode slit. The magnetic field, however, does permit the reflected electrons to axially diverge from the annular beam. The reflected electrons are absorbed by the anode in returning to the real cathode, such that substantially no reflexing electrons occur. The resulting microwaves are produced with a single dominant mode and are substantially monochromatic relative to conventional virtual cathode microwave generators. 6 figs.

  7. ORISE: Statistical Analyses of Worker Health

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

    appropriate methods of statistical analysis to a variety of problems in occupational health and other areas. Our expertise spans a range of capabilities essential for statistical...

  8. VTPI-Transportation Statistics | Open Energy Information

    Open Energy Info (EERE)

    Area: Transportation Resource Type: Dataset Website: www.vtpi.orgtdmtdm80.htm Cost: Free VTPI-Transportation Statistics Screenshot References: VTPI-Transportation Statistics1...

  9. IEA Energy Statistics | Open Energy Information

    Open Energy Info (EERE)

    Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IEA Energy Statistics AgencyCompany Organization: International Energy Agency Sector: Energy Topics: GHG...

  10. DOE Tour of Zero: The Net Zero in Seattle by TC Legend Homes...

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

    Net Zero in Seattle by TC Legend Homes DOE Tour of Zero: The Net Zero in Seattle by TC Legend Homes Addthis 1 of 15 Northwest builder TC Legend Homes has built a certified U.S. DOE...

  11. Fact #736: July 16, 2012 Total Petroleum Imports and Net Petroleum Imports: The Difference is Growing

    Broader source: Energy.gov [DOE]

    When referring to U.S. imports of petroleum, it is important to make the distinction between total imports and net imports. Net imports are equal to the amount of total imported petroleum minus the...

  12. International energy indicators. [Statistical tables and graphs

    SciTech Connect (OSTI)

    Bauer, E.K.

    1980-05-01

    International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.

  13. Statistically significant relational data mining :

    SciTech Connect (OSTI)

    Berry, Jonathan W.; Leung, Vitus Joseph; Phillips, Cynthia Ann; Pinar, Ali; Robinson, David Gerald; Berger-Wolf, Tanya; Bhowmick, Sanjukta; Casleton, Emily; Kaiser, Mark; Nordman, Daniel J.; Wilson, Alyson G.

    2014-02-01

    This report summarizes the work performed under the project (3z(BStatitically significant relational data mining.(3y (BThe goal of the project was to add more statistical rigor to the fairly ad hoc area of data mining on graphs. Our goal was to develop better algorithms and better ways to evaluate algorithm quality. We concetrated on algorithms for community detection, approximate pattern matching, and graph similarity measures. Approximate pattern matching involves finding an instance of a relatively small pattern, expressed with tolerance, in a large graph of data observed with uncertainty. This report gathers the abstracts and references for the eight refereed publications that have appeared as part of this work. We then archive three pieces of research that have not yet been published. The first is theoretical and experimental evidence that a popular statistical measure for comparison of community assignments favors over-resolved communities over approximations to a ground truth. The second are statistically motivated methods for measuring the quality of an approximate match of a small pattern in a large graph. The third is a new probabilistic random graph model. Statisticians favor these models for graph analysis. The new local structure graph model overcomes some of the issues with popular models such as exponential random graph models and latent variable models.

  14. Magnetocumulative generator

    DOE Patents [OSTI]

    Pettibone, J.S.; Wheeler, P.C.

    1981-06-08

    An improved magnetocumulative generator is described that is useful for producing magnetic fields of very high energy content over large spatial volumes. The polar directed pleated magnetocumulative generator has a housing providing a housing chamber with an electrically conducting surface. The chamber forms a coaxial system having a small radius portion and a large radius portion. When a magnetic field is injected into the chamber, from an external source, most of the magnetic flux associated therewith positions itself in the small radius portion. The propagation of an explosive detonation through high-explosive layers disposed adjacent to the housing causes a phased closure of the chamber which sweeps most of the magnetic flux into the large radius portion of the coaxial system. The energy content of the magnetic field is greatly increased by flux stretching as well as by flux compression. The energy enhanced magnetic field is utilized within the housing chamber itself.

  15. Photon generator

    DOE Patents [OSTI]

    Srinivasan-Rao, Triveni (Shoreham, NY)

    2002-01-01

    A photon generator includes an electron gun for emitting an electron beam, a laser for emitting a laser beam, and an interaction ring wherein the laser beam repetitively collides with the electron beam for emitting a high energy photon beam therefrom in the exemplary form of x-rays. The interaction ring is a closed loop, sized and configured for circulating the electron beam with a period substantially equal to the period of the laser beam pulses for effecting repetitive collisions.

  16. Cluster generator

    DOE Patents [OSTI]

    Donchev, Todor I. (Urbana, IL); Petrov, Ivan G. (Champaign, IL)

    2011-05-31

    Described herein is an apparatus and a method for producing atom clusters based on a gas discharge within a hollow cathode. The hollow cathode includes one or more walls. The one or more walls define a sputtering chamber within the hollow cathode and include a material to be sputtered. A hollow anode is positioned at an end of the sputtering chamber, and atom clusters are formed when a gas discharge is generated between the hollow anode and the hollow cathode.

  17. Thermoelectric generator

    DOE Patents [OSTI]

    Pryslak, N.E.

    1974-02-26

    A thermoelectric generator having a rigid coupling or stack'' between the heat source and the hot strap joining the thermoelements is described. The stack includes a member of an insulating material, such as ceramic, for electrically isolating the thermoelements from the heat source, and a pair of members of a ductile material, such as gold, one each on each side of the insulating member, to absorb thermal differential expansion stresses in the stack. (Official Gazette)

  18. Electric generator

    DOE Patents [OSTI]

    Foster, Jr., John S. (Pleasanton, CA); Wilson, James R. (Livermore, CA); McDonald, Jr., Charles A. (Danville, CA)

    1983-01-01

    1. In an electrical energy generator, the combination comprising a first elongated annular electrical current conductor having at least one bare surface extending longitudinally and facing radially inwards therein, a second elongated annular electrical current conductor disposed coaxially within said first conductor and having an outer bare surface area extending longitudinally and facing said bare surface of said first conductor, the contiguous coaxial areas of said first and second conductors defining an inductive element, means for applying an electrical current to at least one of said conductors for generating a magnetic field encompassing said inductive element, and explosive charge means disposed concentrically with respect to said conductors including at least the area of said inductive element, said explosive charge means including means disposed to initiate an explosive wave front in said explosive advancing longitudinally along said inductive element, said wave front being effective to progressively deform at least one of said conductors to bring said bare surfaces thereof into electrically conductive contact to progressively reduce the inductance of the inductive element defined by said conductors and transferring explosive energy to said magnetic field effective to generate an electrical potential between undeformed portions of said conductors ahead of said explosive wave front.

  19. Table 6. Petroleum Net Imports, Projected vs. Actual Projected

    Gasoline and Diesel Fuel Update (EIA)

    Petroleum Net Imports, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2935 3201 3362 3504 3657 3738 3880 3993 4099 4212 4303 4398 4475 4541 4584 4639 4668 4672 AEO 1995 2953 3157 3281 3489 3610 3741 3818 3920 4000 4103 4208 4303 4362 4420 4442 4460 4460 AEO 1996 3011 3106 3219 3398 3519 3679 3807 3891 3979 4070 4165 4212 4260 4289 4303 4322 4325 4347 4344 AEO 1997 3099 3245 3497

  20. Army Reserve Expands Net Zero Energy, Water, Waste

    SciTech Connect (OSTI)

    Solana, Amy E.

    2015-04-14

    In 2012, the Army initiated a Net Zero (NZ) program to establish NZ energy, water, and/or waste goals at installations across the U.S. In 2013, the U.S. Army Reserve expanded this program to cover all three categories at different types of Reserve Centers (RCs) across 5 regions. Projects identified at 10 pilot sites resulted in an average savings potential from recommended measures of 90% for energy, 60% for water, and 83% for waste. This article provides results of these efforts.

  1. Best Practices for Net Zero Energy Cost Control

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

    Best Practices for Net Zero Energy Cost Control New Project for FY14 2014 Building Technologies Office Peer Review Shanti Pless, Shanti.Pless@NREL.gov National Renewable Energy Laboratory Project Summary (through Month 5 of 11) Timeline: Start date: 11/1/2013 Planned end date: 09/30/2014 Key Milestones 1. Detailed Project Plan; 12/31/2013 2. Guide and Fact Sheet; 09/30/2014 Budget: Total DOE $ to date: $150k ($55k spent) Total future DOE $: TBD Target Market/Audience: Building owners, engineers,

  2. Illinois Nuclear Profile - Dresden Generating Station

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

    Dresden Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 2,867,"7,727",101.7,"BWR","application/vnd.ms-excel","application/vnd.ms-excel" 3,867,"6,866",90.4,"BWR","application/vnd.ms-excel","application/vnd.ms-excel"

  3. Kansas Nuclear Profile - Wolf Creek Generating Station

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

    April 2012" "Next Release Date: February 2013" "Wolf Creek Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 1,"1,160","9,556",94.0,"PWR","application/vnd.ms-excel","application/vnd.ms-excel"

  4. Washington Nuclear Profile - Columbia Generating Station

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

    Columbia Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 2,"1,097","9,241",96.2,"BWR","application/vnd.ms-excel","application/vnd.ms-excel" ,"1,097","9,241",96.2

  5. Net Metering and Market Feedback Loops: Exploring the Impact of Retail Rate Design on Distributed PV Deployment

    SciTech Connect (OSTI)

    Darghouth, Nam R.; Wiser, Ryan; Barbose, Galen; Mills, Andrew

    2015-01-13

    The substantial increase in deployment of customer-sited solar photovoltaics (PV) in the United States has been driven by a combination of steeply declining costs, financing innovations, and supportive policies. Among those supportive policies is net metering, which in most states effectively allows customers to receive compensation for distributed PV generation at the full retail electricity price. The current design of retail electricity rates and the presence of net metering have elicited concerns that the possible under-recovery of fixed utility costs from PV system owners may lead to a feedback loop of increasing retail prices that accelerate PV adoption and further rate increases. However, a separate and opposing feedback loop could offset this effect: increased PV deployment may lead to a shift in the timing of peak-period electricity prices that could reduce the bill savings received under net metering where time-varying retail electricity rates are used, thereby dampening further PV adoption. In this paper, we examine the impacts of these two competing feedback dynamics on U.S. distributed PV deployment through 2050 for both residential and commercial customers, across states. Our results indicate that, at the aggregate national level, the two feedback effects nearly offset one another and therefore produce a modest net effect, although their magnitude and direction vary by customer segment and by state. We also model aggregate PV deployment trends under various rate designs and net-metering rules, accounting for feedback dynamics. Our results demonstrate that future adoption of distributed PV is highly sensitive to retail rate structures. Whereas flat, time-invariant rates with net metering lead to higher aggregate national deployment levels than the current mix of rate structures (+5% in 2050), rate structures with higher monthly fixed customer charges or PV compensation at levels lower than the full retail rate can dramatically erode aggregate customer adoption of PV (from -14% to -61%, depending on the design). Moving towards time-varying rates, on the other hand, may accelerate near- and medium-term deployment (through 2030), but is found to slow adoption in the longer term (-22% in 2050).

  6. Moore honored with American Statistical Association award

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

    American Statistical Association Award Moore honored with American Statistical Association award Lisa Moore is the recipient of the 2013 Don Owen Award presented by the American Statistical Association, San Antonio Chapter. May 24, 2013 Leslie "Lisa" Moore Leslie "Lisa" Moore The American Statistical Association (ASA) is the world's largest community of statisticians. It was founded in Massachusetts in 1839. Leslie "Lisa" Moore of the Laboratory's Statistical

  7. Office of Survey Development and Statistical Integration

    Gasoline and Diesel Fuel Update (EIA)

    Steve Harvey April 27, 2011 | Washington, D.C. Tough Choices in U.S. EIA's Data Programs Agenda * Office of Oil, Gas, and Coal Supply Statistics * Office of Petroleum and Biofuels Statistics * Office of Electricity, Renewables, and Uranium Statistics * Office of Energy Consumption and Efficiency Statistics * Office of Survey Development and Statistical Integration 2 Presenter name, Presentation location, Presentation date Coal Data Collection Program 3 James Kendell Washington, DC, April 27,

  8. Table 5.7 Petroleum Net Imports by Country of Origin, 1960-2011

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

    Petroleum Net Imports by Country of Origin, 1960-2011 Year Persian Gulf 2 Selected OPEC 1 Countries Selected Non-OPEC 1 Countries Total Net Imports Total Net Imports as Share of Consumption 5 Net Imports From OPEC 1 Algeria Nigeria Saudi Arabia 3 Venezuela Total OPEC 4 Canada Mexico United Kingdom Virgin Islands and Puerto Rico Total Non-OPEC 4 Share of Total Net Imports 6 Share of Consumption 7 Thousand Barrels Percent 1960 NA [8] [9] 30,786 333,046 450,799 31,454 -620 -4,267 12,553 139,406

  9. Statistics, Uncertainty, and Transmitted Variation

    SciTech Connect (OSTI)

    Wendelberger, Joanne Roth

    2014-11-05

    The field of Statistics provides methods for modeling and understanding data and making decisions in the presence of uncertainty. When examining response functions, variation present in the input variables will be transmitted via the response function to the output variables. This phenomenon can potentially have significant impacts on the uncertainty associated with results from subsequent analysis. This presentation will examine the concept of transmitted variation, its impact on designed experiments, and a method for identifying and estimating sources of transmitted variation in certain settings.

  10. Transportation Statistics Annual Report 1997

    SciTech Connect (OSTI)

    Fenn, M.

    1997-01-01

    This document is the fourth Transportation Statistics Annual Report (TSAR) prepared by the Bureau of Transportation Statistics (BTS) for the President and Congress. As in previous years, it reports on the state of U.S. transportation system at two levels. First, in Part I, it provides a statistical and interpretive survey of the systemits physical characteristics, its economic attributes, aspects of its use and performance, and the scale and severity of unintended consequences of transportation, such as fatalities and injuries, oil import dependency, and environment impacts. Part I also explores the state of transportation statistics, and new needs of the rapidly changing world of transportation. Second, Part II of the report, as in prior years, explores in detail the performance of the U.S. transportation system from the perspective of desired social outcomes or strategic goals. This year, the performance aspect of transportation chosen for thematic treatment is Mobility and Access, which complements past TSAR theme sections on The Economic Performance of Transportation (1995) and Transportation and the Environment (1996). Mobility and access are at the heart of the transportation systems performance from the users perspective. In what ways and to what extent does the geographic freedom provided by transportation enhance personal fulfillment of the nations residents and contribute to economic advancement of people and businesses? This broad question underlies many of the topics examined in Part II: What is the current level of personal mobility in the United States, and how does it vary by sex, age, income level, urban or rural location, and over time? What factors explain variations? Has transportation helped improve peoples access to work, shopping, recreational facilities, and medical services, and in what ways and in what locations? How have barriers, such as age, disabilities, or lack of an automobile, affected these accessibility patterns? How are commodity flows and transportation services responding to global competition, deregulation, economic restructuring, and new information technologies? How do U.S. patterns of personal mobility and freight movement compare with other advanced industrialized countries, formerly centrally planned economies, and major newly industrializing countries? Finally, how is the rapid adoption of new information technologies influencing the patterns of transportation demand and the supply of new transportation services? Indeed, how are information technologies affecting the nature and organization of transportation services used by individuals and firms?

  11. Biogass Generator

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

    Another internet tool by: Build Your Own Page 1 of 5 Teach...build...learn...renewable energy! Biogas Generator A Renewable Energy Project Kit The Pembina Institute What Is Biogas? Biogas is actually a mixture of gases, usually carbon dioxide and methane. It is produced by a few kinds of microorganisms, usually when air or oxygen is absent. (The absence of oxygen is called "anaerobic conditions.") Animals that eat a lot of plant material, particularly grazing animals such as cattle,

  12. Monthly Generation System Peak (pbl/generation)

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

    Generation > Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Monthly Generation System Peak (GSP) This site is no longer maintained. Page last...

  13. Method of assembly of molecular-sized nets and scaffolding

    DOE Patents [OSTI]

    Michl, Josef; Magnera, Thomas F.; David, Donald E.; Harrison, Robin M.

    1999-01-01

    The present invention relates to methods and starting materials for forming molecular-sized grids or nets, or other structures based on such grids and nets, by creating molecular links between elementary molecular modules constrained to move in only two directions on an interface or surface by adhesion or bonding to that interface or surface. In the methods of this invention, monomers are employed as the building blocks of grids and more complex structures. Monomers are introduced onto and allowed to adhere or bond to an interface. The connector groups of adjacent adhered monomers are then polymerized with each other to form a regular grid in two dimensions above the interface. Modules that are not bound or adhered to the interface are removed prior to reaction of the connector groups to avoid undesired three-dimensional cross-linking and the formation of non-grid structures. Grids formed by the methods of this invention are useful in a variety of applications, including among others, for separations technology, as masks for forming regular surface structures (i.e., metal deposition) and as templates for three-dimensional molecular-sized structures.

  14. Method of assembly of molecular-sized nets and scaffolding

    DOE Patents [OSTI]

    Michl, J.; Magnera, T.F.; David, D.E.; Harrison, R.M.

    1999-03-02

    The present invention relates to methods and starting materials for forming molecular-sized grids or nets, or other structures based on such grids and nets, by creating molecular links between elementary molecular modules constrained to move in only two directions on an interface or surface by adhesion or bonding to that interface or surface. In the methods of this invention, monomers are employed as the building blocks of grids and more complex structures. Monomers are introduced onto and allowed to adhere or bond to an interface. The connector groups of adjacent adhered monomers are then polymerized with each other to form a regular grid in two dimensions above the interface. Modules that are not bound or adhered to the interface are removed prior to reaction of the connector groups to avoid undesired three-dimensional cross-linking and the formation of non-grid structures. Grids formed by the methods of this invention are useful in a variety of applications, including among others, for separations technology, as masks for forming regular surface structures (i.e., metal deposition) and as templates for three-dimensional molecular-sized structures. 9 figs.

  15. Magnetocumulative generator

    DOE Patents [OSTI]

    Pettibone, Joseph S. (Livermore, CA); Wheeler, Paul C. (Livermore, CA)

    1983-01-01

    An improved magnetocumulative generator is described that is useful for producing magnetic fields of very high energy content over large spatial volumes. The polar directed pleated magnetocumulative generator has a housing (100, 101, 102, 103, 104, 105) providing a housing chamber (106) with an electrically conducting surface. The chamber (106) forms a coaxial system having a small radius portion and a large radius portion. When a magnetic field is injected into the chamber (106), from an external source, most of the magnetic flux associated therewith positions itself in the small radius portion. The propagation of an explosive detonation through high-explosive layers (107, 108) disposed adjacent to the housing causes a phased closure of the chamber (106) which sweeps most of the magnetic flux into the large radius portion of the coaxial system. The energy content of the magnetic field is greatly increased by flux stretching as well as by flux compression. The energy enhanced magnetic field is utilized within the housing chamber itself.

  16. Lectures on probability and statistics

    SciTech Connect (OSTI)

    Yost, G.P.

    1984-09-01

    These notes are based on a set of statistics lectures delivered at Imperial College to the first-year postgraduate students in High Energy Physics. They are designed for the professional experimental scientist. We begin with the fundamentals of probability theory, in which one makes statements about the set of possible outcomes of an experiment, based upon a complete a priori understanding of the experiment. For example, in a roll of a set of (fair) dice, one understands a priori that any given side of each die is equally likely to turn up. From that, we can calculate the probability of any specified outcome. We finish with the inverse problem, statistics. Here, one begins with a set of actual data (e.g., the outcomes of a number of rolls of the dice), and attempts to make inferences about the state of nature which gave those data (e.g., the likelihood of seeing any given side of any given die turn up). This is a much more difficult problem, of course, and one's solutions often turn out to be unsatisfactory in one respect or another.

  17. Parallel auto-correlative statistics with VTK.

    SciTech Connect (OSTI)

    Pebay, Philippe Pierre; Bennett, Janine Camille

    2013-08-01

    This report summarizes existing statistical engines in VTK and presents both the serial and parallel auto-correlative statistics engines. It is a sequel to [PT08, BPRT09b, PT09, BPT09, PT10] which studied the parallel descriptive, correlative, multi-correlative, principal component analysis, contingency, k-means, and order statistics engines. The ease of use of the new parallel auto-correlative statistics engine is illustrated by the means of C++ code snippets and algorithm verification is provided. This report justifies the design of the statistics engines with parallel scalability in mind, and provides scalability and speed-up analysis results for the autocorrelative statistics engine.

  18. Triboelectric generator

    DOE Patents [OSTI]

    Wang, Zhong L; Fan, Fengru; Lin, Long; Zhu, Guang; Pan, Caofeng; Zhou, Yusheng

    2015-11-03

    A generator includes a thin first contact charging layer and a thin second contact charging layer. The thin first contact charging layer includes a first material that has a first rating on a triboelectric series. The thin first contact charging layer has a first side with a first conductive electrode applied thereto and an opposite second side. The thin second contact charging layer includes a second material that has a second rating on a triboelectric series that is more negative than the first rating. The thin first contact charging layer has a first side with a first conductive electrode applied thereto and an opposite second side. The thin second contact charging layer is disposed adjacent to the first contact charging layer so that the second side of the second contact charging layer is in contact with the second side of the first contact charging layer.

  19. Tomography and weak lensing statistics

    SciTech Connect (OSTI)

    Munshi, Dipak; Coles, Peter; Kilbinger, Martin E-mail: peter.coles@astro.cf.ac.uk

    2014-04-01

    We provide generic predictions for the lower order cumulants of weak lensing maps, and their correlators for tomographic bins as well as in three dimensions (3D). Using small-angle approximation, we derive the corresponding one- and two-point probability distribution function for the tomographic maps from different bins and for 3D convergence maps. The modelling of weak lensing statistics is obtained by adopting a detailed prescription for the underlying density contrast that involves hierarchal ansatz and lognormal distribution. We study the dependence of our results on cosmological parameters and source distributions corresponding to the realistic surveys such as LSST and DES. We briefly outline how photometric redshift information can be incorporated in our results. We also show how topological properties of convergence maps can be quantified using our results.

  20. U.S. Energy Information Administration (EIA) - Data

    Gasoline and Diesel Fuel Update (EIA)

    Find statistics on nuclear operable units, nuclear electricity net generation, nuclear share of electricity net generation, and capacity factor. + EXPAND ALL Summary Additional formats Nuclear Overview: PDF CSV XLS Monthly statistics on nuclear operable units, nuclear electricity net generation, nuclear share of electricity net generation, and capacity factor. PDFXLS Annual statistics on nuclear generating units, power plants operations, and uranium. › Nuclear generating units, 1955-2011 ›

  1. California Nuclear Profile - San Onofre Nuclear Generating Station

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

    San Onofre Nuclear Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 2,"1,070","6,989",74.6,"PWR","application/vnd.ms-excel","application/vnd.ms-excel"

  2. Illinois Nuclear Profile - LaSalle Generating Station

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

    LaSalle Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 1,"1,118","9,207",94.0,"BWR","application/vnd.ms-excel","application/vnd.ms-excel"

  3. New Jersey Nuclear Profile - PSEG Salem Generating Station

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

    PSEG Salem Generating Station" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 1,"1,174","8,777",85.3,"PWR","application/vnd.ms-excel","application/vnd.ms-excel"

  4. Table 10. Natural Gas Net Imports, Projected vs. Actual

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

    Natural Gas Net Imports, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2.02,2.4,2.66,2.74,2.81,2.85,2.89,2.93,2.95,2.97,3,3.16,3.31,3.5,3.57,3.63,3.74,3.85 "AEO 1995",,2.46,2.54,2.8,2.87,2.87,2.89,2.9,2.9,2.92,2.95,2.97,3,3.03,3.19,3.35,3.51,3.6 "AEO

  5. Non-gaussian mode coupling and the statistical cosmological principle

    SciTech Connect (OSTI)

    LoVerde, Marilena; Nelson, Elliot; Shandera, Sarah E-mail: eln121@psu.edu

    2013-06-01

    Local-type primordial non-Gaussianity couples statistics of the curvature perturbation ? on vastly different physical scales. Because of this coupling, statistics (i.e. the polyspectra) of ? in our Hubble volume may not be representative of those in the larger universe that is, they may be biased. The bias depends on the local background value of ?, which includes contributions from all modes with wavelength k?statistics for general local-type non-Gaussianity. We consider three examples in detail: (i) the usual f{sub NL}, g{sub NL} model, (ii) a strongly non-Gaussian model with ? ? ?{sub G}{sup p}, and (iii) two-field non-Gaussian initial conditions. In each scenario one may generate statistics in a Hubble-size patch that are weakly Gaussian and consistent with observations despite the fact that the statistics in the larger, post-inflationary patch look very different.

  6. STORM: A STatistical Object Representation Model

    SciTech Connect (OSTI)

    Rafanelli, M. ); Shoshani, A. )

    1989-11-01

    In this paper we explore the structure and semantic properties of the entities stored in statistical databases. We call such entities statistical objects'' (SOs) and propose a new statistical object representation model,'' based on a graph representation. We identify a number of SO representational problems in current models and propose a methodology for their solution. 11 refs.

  7. Quantrum chaos and statistical nuclear physics

    SciTech Connect (OSTI)

    Not Available

    1986-01-01

    This book contains 33 selections. Some of the titles are: Chaotic motion and statistical nuclear theory; Test of spectrum and strength fluctuations with proton resonances; Nuclear level densities and level spacing distributions; Spectral statistics of scale invariant systems; and Antiunitary symmetries and energy level statistics.

  8. I/O Statistics Last 30 Days

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

    I/O Statistics Last 30 Days I/O Statistics Last 30 Days These plots show the daily statistics for the last 30 days for the storage systems at NERSC in terms of the amount of data transferred and the number of files transferred. Daily I/O Volume Daily I/O Count

  9. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    Illinois" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Braidwood Generation Station","Nuclear","Exelon Nuclear",2330 2,"Byron Generating Station","Nuclear","Exelon Nuclear",2300 3,"LaSalle Generating Station","Nuclear","Exelon Nuclear",2277 4,"Quad Cities Generating Station","Nuclear","Exelon

  10. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    Jersey" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"PSEG Salem Generating Station","Nuclear","PSEG Nuclear LLC",2370.4 2,"PSEG Linden Generating Station","Natural gas","PSEG Fossil LLC",1572 3,"Bergen Generating Station","Natural gas","PSEG Fossil LLC",1208 4,"PSEG Hope Creek Generating

  11. Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Case Study

    SciTech Connect (OSTI)

    Chang, R.; Hayter, S.; Hotchkiss, E.; Pless, S.; Sielcken, J.; Smith-Larney, C.

    2014-10-01

    The federal government is mandated with improving efficiency of buildings, incorporating renewable energy, and achieving net-zero energy operations where possible. These challenges led GSA to consider aligning historic preservation renovations with net-zero energy goals. The Wayne N. Aspinall Federal Building and U.S. Courthouse (Aspinall Courthouse), in Grand Junction, Colorado, is an example of a renovation project that aimed to accomplish both historic preservation and net-zero energy goals.

  12. New Zero Net-Energy Facility: A Test Bed for Home Efficiency | Department

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

    of Energy Zero Net-Energy Facility: A Test Bed for Home Efficiency New Zero Net-Energy Facility: A Test Bed for Home Efficiency September 17, 2012 - 2:34pm Addthis Deputy Assistant Secretary for Energy Efficiency Kathleen Hogan joined representatives from the National Institute of Standards and Technology (NIST) and state and local elected officials to celebrate the opening of the new zero net-energy residential test laboratory. | Photo courtesy of NIST. Deputy Assistant Secretary for Energy

  13. NREL and Army Validate Energy Savings for Net Zero Energy Installations -

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

    News Releases | NREL NREL and Army Validate Energy Savings for Net Zero Energy Installations Net Zero Energy Installations could save millions a year in energy costs October 27, 2014 The U.S. Army (Army) has partnered with the Energy Department's National Renewable Energy Laboratory (NREL) to increase energy security through improved energy efficiency and optimized renewable energy strategies at nine installations in the Army's portfolio. If all nine of the Army Net Zero Energy Installation

  14. Net Zero Energy Military Installations: A Guide to Assessment and Planning

    Energy Savers [EERE]

    | Department of Energy Net Zero Energy Military Installations: A Guide to Assessment and Planning Net Zero Energy Military Installations: A Guide to Assessment and Planning In 2008, DoD and DOE defined a joint initiative to address military energy use by identifying specific actions to reduce energy demand and increase use of renewable energy on DoD installations. PDF icon 48876.pdf More Documents & Publications Lessons Learned from Net Zero Energy Assessments and Renewable Energy

  15. The Intersection of Net Metering and Retail Choice: An Overview of Policy,

    Energy Savers [EERE]

    Practice and Issues | Department of Energy Intersection of Net Metering and Retail Choice: An Overview of Policy, Practice and Issues The Intersection of Net Metering and Retail Choice: An Overview of Policy, Practice and Issues In this report, the authors studied different facets of crediting mechanisms, and defined five different theoretical models describing different ways competitive suppliers and utilities provide net metering options for their customers. They then provided case studies

  16. Analysis: Targeting Zero Net Energy - 2014 BTO Peer Review | Department of

    Energy Savers [EERE]

    Energy Analysis: Targeting Zero Net Energy - 2014 BTO Peer Review Analysis: Targeting Zero Net Energy - 2014 BTO Peer Review Presenter: Scott Horowitz, National Renewable Energy Laboratory Development of whole-house zero energy ready solutions requires accurate models for a full range of enclosure and equipment technologies. The primary goal of this project is to provide an accurate analysis for Building America program planning, emerging technologies, and net zero energy packages for new

  17. U.S. Fish and Wildlife Service Moves toward Net-Zero Buildings (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-12-01

    This fact sheet is an overview of the U.S. Fish and Wildlife Service's net-zero energy visitor's center at the Assabet River National Wildlife.

  18. Community Renewable Energy Success Stories Webinar: Net Zero Energy Communities (text version)

    Broader source: Energy.gov [DOE]

    Below is the text version of the Webinar titled "Community Renewable Energy Success Stories – Net Zero Energy Communities," originally presented on October 16, 2012.

  19. The Impact of Rate Design and Net Metering on the Bill Savings...

    Open Energy Info (EERE)

    Impact of Rate Design and Net Metering on the Bill Savings from Distributed Photovoltaics (PV) for Residential Customers in California Jump to: navigation, search Tool Summary...

  20. Microsoft PowerPoint - 06 Crawley Drive for Net Zero Energy Commercial Buildings

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

    PROGRAM The Drive for Net-Zero Energy Commercial Buildings Drury B. Crawley, Ph.D. U.S. Department of Energy Energy Efficiency and Renewable Energy Net-Zero Energy Commercial Building Initiative commercialbuildings.energy.gov 1 gy y gy Buildings' Energy Use Net-Zero Energy Commercial Building Initiative commercialbuildings.energy.gov 2 Commercial Square Footage Projections g j 104 Plus ~38B ft. 2 new additions 72 82 66 Minus ~16B ft. 2 demolitions 66 Net-Zero Energy Commercial Building

  1. Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of

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

    U.S. Consumption in 2013 | Department of Energy 8: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013 Fact #838: September 15, 2014 Net Imports of Petroleum were Only 33% of U.S. Consumption in 2013 When compared to total U.S. consumption of petroleum, net imports were only 33% in 2013. The share of imported petroleum reached a peak of 60% in 2005, from a low of 27% in 1985. Since 2005, the share has declined each year. Net Imports of Petroleum as a Share

  2. Kaupuni Village: A closer look at the first net-zero energy affordable

    Energy Savers [EERE]

    housing community in Hawaii | Department of Energy Kaupuni Village: A closer look at the first net-zero energy affordable housing community in Hawaii Kaupuni Village: A closer look at the first net-zero energy affordable housing community in Hawaii Information on the LEED Platinum, net-zero energy, Kaupuni Village in Hawaii, which is comprised of 19 single-family homes and a community center. Not only are the structures built to be net-zero, but the entire community was built as a fully

  3. U.S. Fish and Wildlife Service Moves toward Net-Zero Buildings

    Broader source: Energy.gov [DOE]

    This fact sheet is an overview of the U.S. Fish and Wildlife Service's net-zero energy visitor's center at the Assabet River National Wildlife.

  4. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    . Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014" ,"(Thousands of Megawatthours and...

  5. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Assessment Area," ,"1990-2010 Actual, 2011-2015 Projected" ,"(Thousands of...

  6. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    Update: October 2010" ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2008 and Projected 2009 through 2013 "...

  7. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2008 through 2012 " ,"(Thousands of Megawatthours and...

  8. U.S. Renewable Energy Generation Up in First Half of 2013: EIA

    Broader source: Energy.gov [DOE]

    Renewable energy sources generated 14.2% of net U.S. electric power generation during the first six months of 2013, up from 13.6% the same time a year ago, according to data from the U.S. Energy Information Administration (EIA).

  9. Climatic Forecasting of Net Infiltration at Yucca Montain Using Analogue Meteororological Data

    SciTech Connect (OSTI)

    B. Faybishenko

    2006-09-11

    At Yucca Mountain, Nevada, future changes in climatic conditions will most likely alter net infiltration, or the drainage below the bottom of the evapotranspiration zone within the soil profile or flow across the interface between soil and the densely welded part of the Tiva Canyon Tuff. The objectives of this paper are to: (a) develop a semi-empirical model and forecast average net infiltration rates, using the limited meteorological data from analogue meteorological stations, for interglacial (present day), and future monsoon, glacial transition, and glacial climates over the Yucca Mountain region, and (b) corroborate the computed net-infiltration rates by comparing them with the empirically and numerically determined groundwater recharge and percolation rates through the unsaturated zone from published data. In this paper, the author presents an approach for calculations of net infiltration, aridity, and precipitation-effectiveness indices, using a modified Budyko's water-balance model, with reference-surface potential evapotranspiration determined from the radiation-based Penman (1948) formula. Results of calculations show that net infiltration rates are expected to generally increase from the present-day climate to monsoon climate, to glacial transition climate, and then to the glacial climate. The forecasting results indicate the overlap between the ranges of net infiltration for different climates. For example, the mean glacial net-infiltration rate corresponds to the upper-bound glacial transition net infiltration, and the lower-bound glacial net infiltration corresponds to the glacial transition mean net infiltration. Forecasting of net infiltration for different climate states is subject to numerous uncertainties-associated with selecting climate analogue sites, using relatively short analogue meteorological records, neglecting the effects of vegetation and surface runoff and runon on a local scale, as well as possible anthropogenic climate changes.

  10. Statistical properties of Charney-Hasegawa-Mima zonal flows

    SciTech Connect (OSTI)

    Anderson, Johan; Botha, G. J. J.

    2015-05-15

    A theoretical interpretation of numerically generated probability density functions (PDFs) of intermittent plasma transport events in unforced zonal flows is provided within the Charney-Hasegawa-Mima (CHM) model. The governing equation is solved numerically with various prescribed density gradients that are designed to produce different configurations of parallel and anti-parallel streams. Long-lasting vortices form whose flow is governed by the zonal streams. It is found that the numerically generated PDFs can be matched with analytical predictions of PDFs based on the instanton method by removing the autocorrelations from the time series. In many instances, the statistics generated by the CHM dynamics relaxes to Gaussian distributions for both the electrostatic and vorticity perturbations, whereas in areas with strong nonlinear interactions it is found that the PDFs are exponentially distributed.

  11. Zero Net Energy Myths and Modes of Thought

    SciTech Connect (OSTI)

    Rajkovich, Nicholas B.; Diamond, Rick; Burke, Bill

    2010-09-20

    The U.S. Department of Energy (DOE), the California Public Utilities Commission (CPUC), and a number of professional organizations have established a target of zero net energy (ZNE) in buildings by 2030. One definition of ZNE is a building with greatly reduced needs for energy through efficiency gains with the balance of energy needs supplied by renewable technologies. The push to ZNE is a response to research indicating that atmospheric concentrations of greenhouse gases have increased sharply since the eighteenth century, resulting in a gradual warming of the Earth?s climate. A review of ZNE policies reveals that the organizations involved frame the ZNE issue in diverse ways, resulting in a wide variety of myths and a divergent set of epistemologies. With federal and state money poised to promote ZNE, it is timely to investigate how epistemologies, meaning a belief system by which we take facts and convert them into knowledge upon which to take action, and the propagation of myths might affect the outcome of a ZNE program. This paper outlines myths commonly discussed in the energy efficiency and renewable energy communities related to ZNE and describes how each myth is a different way of expressing"the truth." The paper continues by reviewing a number of epistemologies common to energy planning, and concludes that the organizations involved in ZNE should work together to create a"collaborative rationality" for ZNE. Through this collaborative framework it is argued that we may be able to achieve the ZNE and greenhouse gas mitigation targets.

  12. Table 10. Natural Gas Net Imports, Projected vs. Actual Projected

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas Net Imports, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2.02 2.40 2.66 2.74 2.81 2.85 2.89 2.93 2.95 2.97 3.00 3.16 3.31 3.50 3.57 3.63 3.74 3.85 AEO 1995 2.46 2.54 2.80 2.87 2.87 2.89 2.90 2.90 2.92 2.95 2.97 3.00 3.03 3.19 3.35 3.51 3.60 AEO 1996 2.56 2.75 2.85 2.88 2.93 2.98 3.02 3.06 3.07 3.09 3.12 3.17 3.23 3.29 3.37 3.46 3.56 3.68 3.79 AEO 1997 2.82 2.96

  13. Surface daytime net radiation estimation using artificial neural networks

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

    Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang

    2014-11-11

    Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 1991–2010more » both in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 W·m–2 , and a bias of –0.61 W·m–2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.« less

  14. Net lost revenue from DSM: State policies that work

    SciTech Connect (OSTI)

    Baxter, L.W.

    1995-07-01

    A key utility regulatory reform undertaken since 1989 allows utilities to recover the lost revenue incurred through successful operation of demand-side management (DSM) programs. Net lost revenue adjustment (NLRA) mechanisms are states preferred approach to lost revenue recovery from DSM programs. This paper examines the experiences states and utilities are having with the NLRA approach. The paper has three objectives: (1) determine whether NLRA is a feasible and effective approach to the lost-revenue disincentive for utility DSM programs, (2) identify the conditions linked to effective implementation of NLRA mechanisms and assess whether NLRA has changed utility investment behavior, and (3) suggest improvements to NLRA mechanisms. Contrary to the concerns raised by some industry analysts, our results indicate NLRA is a feasible approach. Seven of the ten states we studied report no substantial problems with their approach. We observe several conditions linked to effective NLRA implementation. Observed changes in utility investment behavior occur after implementation of DSM rate reforms, which include deployment of NLRA mechanisms. Utilities in states with lost revenue recovery invest more than twice as much in DSM as do utilities in other states.

  15. Distributed Generation: Challenges and Opportunities, 7. edition

    SciTech Connect (OSTI)

    2007-10-15

    The report is a comprehensive study of the Distributed Generation (DG) industry. The report takes a wide-ranging look at the current and future state of DG and both individually and collectively addresses the technologies of Microturbines, Reciprocating Engines, Stirling Engines, Fuel Cells, Photovoltaics, Concentrating Solar, Wind, and Microgrids. Topics covered include: the key technologies being used or planned for DG; the uses of DG from utility, energy service provider, and customer viewpoints; the economics of DG; the benefits of DG from multiple perspectives; the barriers that exist to implementing DG; the government programs supporting the DG industry; and, an analysis of DG interconnection and net metering rules.

  16. DOE Challenge Home: Zero Net-Energy Ready Training | Department of Energy

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

    Home: Zero Net-Energy Ready Training DOE Challenge Home: Zero Net-Energy Ready Training The DOE Challenge Home offers leading builders a timely solution for differentiating their product from existing homes as well as minimum code new homes. PDF icon training_info.pdf More Documents & Publications Training Partner Agreement ZERH Trainer Partnership Agreement Building America Update - July 2013

  17. Statistics for characterizing data on the periphery

    SciTech Connect (OSTI)

    Theiler, James P; Hush, Donald R

    2010-01-01

    We introduce a class of statistics for characterizing the periphery of a distribution, and show that these statistics are particularly valuable for problems in target detection. Because so many detection algorithms are rooted in Gaussian statistics, we concentrate on ellipsoidal models of high-dimensional data distributions (that is to say: covariance matrices), but we recommend several alternatives to the sample covariance matrix that more efficiently model the periphery of a distribution, and can more effectively detect anomalous data samples.

  18. Statistical assessment of Monte Carlo distributional tallies

    SciTech Connect (OSTI)

    Kiedrowski, Brian C; Solomon, Clell J

    2010-12-09

    Four tests are developed to assess the statistical reliability of distributional or mesh tallies. To this end, the relative variance density function is developed and its moments are studied using simplified, non-transport models. The statistical tests are performed upon the results of MCNP calculations of three different transport test problems and appear to show that the tests are appropriate indicators of global statistical quality.

  19. Moore honored with American Statistical Association award

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

    Before his death in 1991, Professor Owen was the Distinguished Professor of Statistics at Southern Methodist University in Dallas, Texas. His illustrious career serves as the ...

  20. Statistics for Industry Groups and Industries, 2003

    SciTech Connect (OSTI)

    2009-01-18

    Statistics for the U.S. Department of Commerce including types of manufacturing, employees, and products as outlined in the Annual Survey of Manufacturers (ASM).

  1. Statistical methods for nuclear material management

    SciTech Connect (OSTI)

    Bowen W.M.; Bennett, C.A.

    1988-12-01

    This book is intended as a reference manual of statistical methodology for nuclear material management practitioners. It describes statistical methods currently or potentially important in nuclear material management, explains the choice of methods for specific applications, and provides examples of practical applications to nuclear material management problems. Together with the accompanying training manual, which contains fully worked out problems keyed to each chapter, this book can also be used as a textbook for courses in statistical methods for nuclear material management. It should provide increased understanding and guidance to help improve the application of statistical methods to nuclear material management problems.

  2. STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE...

    Office of Scientific and Technical Information (OSTI)

    Title: STATISTICAL PERFORMANCE EVALUATION OF SPRING OPERATED PRESSURE RELIEF VALVE RELIABILITY IMPROVEMENTS 2004 TO 2014 Authors: Harris, S. ; Gross, R. ; Watson, H. Publication ...

  3. Surface daytime net radiation estimation using artificial neural networks

    SciTech Connect (OSTI)

    Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang

    2014-11-11

    Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 19912010 both in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 Wm2 , and a bias of 0.61 Wm2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.

  4. Table 2. Ten Largest Plants by Generation Capacity, 2013

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

    Delaware" ,"Plant","Primary energy source","Operating company","Net summer capacity (MW)" 1,"Hay Road","Natural gas","Calpine Mid-Atlantic Generation LLC",1136 2,"Edge Moor","Natural gas","Calpine Mid-Atlantic Generation LLC",725 3,"Indian River Generating Station","Coal","Indian River Operations Inc",591.4 4,"Delaware City Plant","Other

  5. Federal offshore statistics: leasing - exploration - production - revenue

    SciTech Connect (OSTI)

    Essertier, E.P.

    1984-01-01

    Federal Offshore Statistics is a numerical record of what has happened since Congress gave authority to the Secretary of the Interior in 1953 to lease the Federal portion of the Continental Shelf for oil and gas. The publication updates and augments the first Federal Offshore Statistics, published in December 1983. It also extends a statistical series published annually from 1969 until 1981 by the US Geological Survey (USGS) under the title Outer Continental Shelf Statistics. The USGS collected royalties and supervised operation and production of minerals on the Outer Continental Shelf (OCS) until the Minerals Management Service (MMS) took over these functions in 1982. Statistics are presented under the following topics: (1) highlights, (2) leasing, (3) exploration and development, (4) production and revenue, (5) federal offshore production by ranking operator, 1983, (6) reserves and undiscovered recoverable resources, and (7) oil pollution in the world's oceans.

  6. NetMOD Version 2.0 User?s Manual.

    SciTech Connect (OSTI)

    Merchant, Bion J.

    2015-10-01

    NetMOD ( Net work M onitoring for O ptimal D etection) is a Java-based software package for conducting simulation of seismic, hydracoustic, and infrasonic networks. Specifically, NetMOD simulates the detection capabilities of monitoring networks. Network simulations have long been used to study network resilience to station outages and to determine where additional stations are needed to reduce monitoring thresholds. NetMOD makes use of geophysical models to determine the source characteristics, signal attenuation along the path between the source and station, and the performance and noise properties of the station. These geophysical models are combined to simulate the relative amplitudes of signal and noise that are observed at each of the stations. From these signal-to-noise ratios (SNR), the probability of detection can be computed given a detection threshold. This manual describes how to configure and operate NetMOD to perform detection simulations. In addition, NetMOD is distributed with simulation datasets for the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) International Monitoring System (IMS) seismic, hydroacoustic, and infrasonic networks for the purpose of demonstrating NetMOD's capabilities and providing user training. The tutorial sections of this manual use this dataset when describing how to perform the steps involved when running a simulation. ACKNOWLEDGEMENTS We would like to thank the reviewers of this document for their contributions.

  7. Statistical Methods Handbook for Advanced Gas Reactor Fuel Materials

    SciTech Connect (OSTI)

    J. J. Einerson

    2005-05-01

    Fuel materials such as kernels, coated particles, and compacts are being manufactured for experiments simulating service in the next generation of high temperature gas reactors. These must meet predefined acceptance specifications. Many tests are performed for quality assurance, and many of these correspond to criteria that must be met with specified confidence, based on random samples. This report describes the statistical methods to be used. The properties of the tests are discussed, including the risk of false acceptance, the risk of false rejection, and the assumption of normality. Methods for calculating sample sizes are also described.

  8. Statistical anisotropy of the curvature perturbation from vector field perturbations

    SciTech Connect (OSTI)

    Dimopoulos, Konstantinos; Karciauskas, Mindaugas; Lyth, David H.; Rodriguez, Yeinzon E-mail: m.karciauskas@lancaster.ac.uk E-mail: yeinzon.rodriguez@uan.edu.co

    2009-05-15

    The {delta}N formula for the primordial curvature perturbation {zeta} is extended to include vector as well as scalar fields. Formulas for the tree-level contributions to the spectrum and bispectrum of {zeta} are given, exhibiting statistical anisotropy. The one-loop contribution to the spectrum of {zeta} is also worked out. We then consider the generation of vector field perturbations from the vacuum, including the longitudinal component that will be present if there is no gauge invariance. Finally, the {delta}N formula is applied to the vector curvaton and vector inflation models with the tensor perturbation also evaluated in the latter case.

  9. Financial statistics of major US publicly owned electric utilities 1993

    SciTech Connect (OSTI)

    Not Available

    1995-02-01

    The 1993 edition of the Financial Statistics of Major U.S. Publicly Owned Electric Utilities publication presents five years (1989 to 1993) of summary financial data and current year detailed financial data on the major publicly owned electric utilities. The objective of the publication is to provide Federal and State governments, industry, and the general public with current and historical data that can be used for policymaking and decision making purposes related to publicly owned electric utility issues. Generator and nongenerator summaries are presented in this publication. The primary source of publicly owned financial data is the Form EIA-412, the Annual Report of Public Electric Utilities, filed on a fiscal basis.

  10. Distributed Generation System Characteristics and Costs in the Buildings Sector

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

    Distributed Generation System Characteristics and Costs in the Buildings Sector August 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Distributed Generation System Characteristics and Costs in the Buildings Sector i 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

  11. NET-ZERO ENERGY BUILDING OPERATOR TRAINING PROGRAM (NZEBOT)

    SciTech Connect (OSTI)

    Brizendine, Anthony; Byars, Nan; Sleiti, Ahmad; Gehrig, Bruce; Lu, Na

    2012-12-31

    The primary objective of the Net-Zero Energy Building Operator Training Program (NZEBOT) was to develop certificate level training programs for commercial building owners, managers and operators, principally in the areas of energy / sustainability management. The expected outcome of the project was a multi-faceted mechanism for developing the skill-based competency of building operators, owners, architects/engineers, construction professionals, tenants, brokers and other interested groups in energy efficient building technologies and best practices. The training program draws heavily on DOE supported and developed materials available in the existing literature, as well as existing, modified, and newly developed curricula from the Department of Engineering Technology & Construction Management (ETCM) at the University of North Carolina at Charlotte (UNC-Charlotte). The project goal is to develop a certificate level training curriculum for commercial energy and sustainability managers and building operators that: 1) Increases the skill-based competency of building professionals in energy efficient building technologies and best practices, and 2) Increases the workforce pool of expertise in energy management and conservation techniques. The curriculum developed in this project can subsequently be used to establish a sustainable energy training program that can contribute to the creation of new “green” job opportunities in North Carolina and throughout the Southeast region, and workforce training that leads to overall reductions in commercial building energy consumption. Three energy training / education programs were developed to achieve the stated goal, namely: 1. Building Energy/Sustainability Management (BESM) Certificate Program for Building Managers and Operators (40 hours); 2. Energy Efficient Building Technologies (EEBT) Certificate Program (16 hours); and 3. Energy Efficent Buildings (EEB) Seminar (4 hours). Training Program 1 incorporates the following topics in the primary five-day Building Energy/Sustainability Management Certificate program in five training modules, namely: 1) Strategic Planning, 2) Sustainability Audits, 3) Information Analysis, 4) Energy Efficiency, and 5) Communication. Training Program 2 addresses the following technical topics in the two-day Building Technologies workshop: 1) Energy Efficient Building Materials, 2) Green Roofing Systems, 3) Energy Efficient Lighting Systems, 4) Alternative Power Systems for Buildings, 5) Innovative Building Systems, and 6) Application of Building Performance Simulation Software. Program 3 is a seminar which provides an overview of elements of programs 1 and 2 in a seminar style presentation designed for the general public to raise overall public awareness of energy and sustainability topics.

  12. Neutron measurements of the fuel remaining in the TMI II once-through steam generators (OTSG'S)

    SciTech Connect (OSTI)

    Geelhood, B.D.; Abel, K.H.

    1989-02-01

    Polypropylene tubes containing a string of 18 copper rods were inserted into the lower head region and each J-leg of the two once-through steam generators (OTSG) of the unit two reactor at Three Mile Island. The object was to measure the neutron flux present in those regions and estimate the amount of residual fuel remaining in each OTSG. The neutron flux from any residual fuel induces a radioisotope, /sup 64/Cu, in the copper coupons. The /sup 64/Cu activity is detected by coincidence counting the two 511-keV gamma rays produced by the annihilation of the positron emitted in the decay of /sup 64/Cu. The copper coupons were placed between two 6-inch diameter, 6-inch long NaI(Tl) crystals and the electronics produced a coincidence count whenever the two gamma rays were uniquely detected. The net coincidence count is proportional to the amount of /sup 64/Cu activity in the coupon. This document discusses calculation methods, statistical methods, and results of this research. 3 figs., 30 tabs.

  13. Chiller-heater unit nets building 2-yr payback

    SciTech Connect (OSTI)

    Duffy, J.

    1983-05-09

    A 500-ton double-absorption Hitachi Paraflow chiller-heater that switches from purchased steam to natural gas will reduce a Manhattan office building's energy costs by 55% and achieve a two-year payback. The new system replaces a steam-powered, single-stage absorption chiller. By reusing heat in a second-stage generator, the Hitachi unit uses only half as many Btus per ton as a conventional chiller. (DCK)

  14. New Mexico Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) New Mexico Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 8 0 0 0 0 0 0 0 0 0 1990's 0 0 2,599 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 2010's 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Liquefied

  15. South Dakota Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) South Dakota Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 0 0 0 0 0 1990's 0 -15 11 0 0 0 -143 0 -9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Net Withdrawals of Liquefied Natural Gas from Storage South Dakota

  16. Geothermal energy to contribute to net-zero campus | Department of Energy

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

    energy to contribute to net-zero campus Geothermal energy to contribute to net-zero campus December 18, 2009 - 3:26pm Addthis Joshua DeLung What will the project do? The two power plants combined will create 1.3 MW of power. Combined, the plants will save the campus $500,000 annually. Of the handful of frontrunners in the scramble to become the nation's first net-zero college campus, the Oregon Institute of Technology may be one of the most unique. Sometime between 2011 and 2012, OIT plans to

  17. Topology for statistical modeling of petascale data.

    SciTech Connect (OSTI)

    Pascucci, Valerio; Mascarenhas, Ajith Arthur; Rusek, Korben; Bennett, Janine Camille; Levine, Joshua; Pebay, Philippe Pierre; Gyulassy, Attila; Thompson, David C.; Rojas, Joseph Maurice

    2011-07-01

    This document presents current technical progress and dissemination of results for the Mathematics for Analysis of Petascale Data (MAPD) project titled 'Topology for Statistical Modeling of Petascale Data', funded by the Office of Science Advanced Scientific Computing Research (ASCR) Applied Math program. Many commonly used algorithms for mathematical analysis do not scale well enough to accommodate the size or complexity of petascale data produced by computational simulations. The primary goal of this project is thus to develop new mathematical tools that address both the petascale size and uncertain nature of current data. At a high level, our approach is based on the complementary techniques of combinatorial topology and statistical modeling. In particular, we use combinatorial topology to filter out spurious data that would otherwise skew statistical modeling techniques, and we employ advanced algorithms from algebraic statistics to efficiently find globally optimal fits to statistical models. This document summarizes the technical advances we have made to date that were made possible in whole or in part by MAPD funding. These technical contributions can be divided loosely into three categories: (1) advances in the field of combinatorial topology, (2) advances in statistical modeling, and (3) new integrated topological and statistical methods.

  18. Buildings Energy Data Book: 6.2 Electricity Generation, Transmission, and Distribution

    Buildings Energy Data Book [EERE]

    2010 Existing Capacity, by Energy Source (GW) Number of Generator Nameplate Net Summer Net Winter Plant Fuel Type Generators Capacity Capacity Capacity Coal Petroleum Natural Gas Other Gases Nuclear Hydroelectric Conventional Wind Solar Thermal and Photovoltaic Wood and Wood Derived Fuels Geothermal Other Biomass Pumped Storage Other Total Source(s): EIA, Electric Power Annual 2010, Feb. 2012, Table 1.2. 51 1.0 0.9 0.9 18,150 1,138.6 1,039.1 1,078.7 1,574 5.0 4.4 4.4 151 20.5 22.2 22.1 346 7.9

  19. Fact #837: September 8, 2014 Gap between Net Imports and Total Imports of Petroleum is Widening – Dataset

    Broader source: Energy.gov [DOE]

    Excel file with dataset for Fact #837: Gap between Net Imports and Total Imports of Petroleum is Widening

  20. Statistical analysis of cascading failures in power grids

    SciTech Connect (OSTI)

    Chertkov, Michael; Pfitzner, Rene; Turitsyn, Konstantin

    2010-12-01

    We introduce a new microscopic model of cascading failures in transmission power grids. This model accounts for automatic response of the grid to load fluctuations that take place on the scale of minutes, when optimum power flow adjustments and load shedding controls are unavailable. We describe extreme events, caused by load fluctuations, which cause cascading failures of loads, generators and lines. Our model is quasi-static in the causal, discrete time and sequential resolution of individual failures. The model, in its simplest realization based on the Directed Current description of the power flow problem, is tested on three standard IEEE systems consisting of 30, 39 and 118 buses. Our statistical analysis suggests a straightforward classification of cascading and islanding phases in terms of the ratios between average number of removed loads, generators and links. The analysis also demonstrates sensitivity to variations in line capacities. Future research challenges in modeling and control of cascading outages over real-world power networks are discussed.