National Library of Energy BETA

Sample records for forecast 2 1

  1. FY 1996 solid waste integrated life-cycle forecast characteristics summary. Volumes 1 and 2

    SciTech Connect (OSTI)

    Templeton, K.J.

    1996-05-23

    For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the physical waste forms, hazardous waste constituents, and radionuclides of the waste expected to be shipped to the CWC from 1996 through the remaining life cycle of the Hanford Site (assumed to extend to 2070). In previous years, forecast data has been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to two previous reports: the more detailed report on waste volumes, WHC-EP-0900, FY1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary and the report on expected containers, WHC-EP-0903, FY1996 Solid Waste Integrated Life-Cycle Forecast Container Summary. All three documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on two main characteristics: the physical waste forms and hazardous waste constituents of low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major generators for each waste category and waste characteristic are also discussed. The characteristics of low-level waste (LLW) are described in Appendix A. In addition, information on radionuclides present in the waste is provided in Appendix B. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste is expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters. The range is primarily due to uncertainties associated with the Tank Waste Remediation System (TWRS) program, including uncertainties regarding retrieval of long-length equipment, scheduling, and tank retrieval technologies.

  2. Residential applliance data, assumptions and methodology for end-use forecasting with EPRI-REEPS 2.1

    SciTech Connect (OSTI)

    Hwang, R.J,; Johnson, F.X.; Brown, R.E.; Hanford, J.W.; Kommey, J.G.

    1994-05-01

    This report details the data, assumptions and methodology for end-use forecasting of appliance energy use in the US residential sector. Our analysis uses the modeling framework provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which was developed by the Electric Power Research Institute. In this modeling framework, appliances include essentially all residential end-uses other than space conditioning end-uses. We have defined a distinct appliance model for each end-use based on a common modeling framework provided in the REEPS software. This report details our development of the following appliance models: refrigerator, freezer, dryer, water heater, clothes washer, dishwasher, lighting, cooking and miscellaneous. Taken together, appliances account for approximately 70% of electricity consumption and 30% of natural gas consumption in the US residential sector. Appliances are thus important to those residential sector policies or programs aimed at improving the efficiency of electricity and natural gas consumption. This report is primarily methodological in nature, taking the reader through the entire process of developing the baseline for residential appliance end-uses. Analysis steps documented in this report include: gathering technology and market data for each appliance end-use and specific technologies within those end-uses, developing cost data for the various technologies, and specifying decision models to forecast future purchase decisions by households. Our implementation of the REEPS 2.1 modeling framework draws on the extensive technology, cost and market data assembled by LBL for the purpose of analyzing federal energy conservation standards. The resulting residential appliance forecasting model offers a flexible and accurate tool for analyzing the effect of policies at the national level.

  3. FY 1996 solid waste integrated life-cycle forecast container summary volume 1 and 2

    SciTech Connect (OSTI)

    Valero, O.J.

    1996-04-23

    For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the containers expected to be used for these waste shipments from 1996 through the remaining life cycle of the Hanford Site. In previous years, forecast data have been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to the more detailed report on waste volumes: WHC-EP0900, FY 1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary. Both of these documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on the types of containers that will be used for packaging low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major waste generators for each waste category and container type are also discussed. Containers used for low-level waste (LLW) are described in Appendix A, since LLW requires minimal treatment and storage prior to onsite disposal in the LLW burial grounds. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste are expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters.

  4. SOLID WASTE INTEGRATED FORECAST TECHNICAL (SWIFT) REPORT FY2003 THRU FY2046 VERSION 2003.1 VOLUME 2 [SEC 1 & 2

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2003-12-01

    This report includes data requested on September 10, 2002 and includes radioactive solid waste forecasting updates through December 31, 2002. The FY2003.0 request is the primary forecast for fiscal year FY 2003.

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

    SciTech Connect (OSTI)

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

    1995-12-01

    This paper describes current and projected future energy use by end-use and fuel for the U.S. residential sector, and assesses which end-uses are growing most rapidly over time. The inputs to this forecast are based on a multi-year data compilation effort funded by the U.S. Department of Energy. We use the Electric Power Research Institute`s (EPRI`s) REEPS model, as reconfigured to reflect the latest end-use technology data. Residential primary energy use is expected to grow 0.3% per year between 1995 and 2010, while electricity demand is projected to grow at about 0.7% per year over this period. The number of households is expected to grow at about 0.8% per year, which implies that the overall primary energy intensity per household of the residential sector is declining, and the electricity intensity per household is remaining roughly constant over the forecast period. These relatively low growth rates are dependent on the assumed growth rate for miscellaneous electricity, which is the single largest contributor to demand growth in many recent forecasts.

  6. 1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1994-02-01

    This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

  7. SOLID WASTE INTEGRATED FORECAST TECHNICAL (SWIFT) REPORT FY2005 THRU FY2035 2005.0 VOLUME 2

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2005-08-17

    This report provides up-to-date life cycle information about the radioactive solid waste expected to be managed by Hanford's Waste Management (WM) Project from onsite and offsite generators. It includes: (1) an overview of Hanford-wide solid waste to be managed by the WM Project; (2) multi-level and waste class-specific estimates; (3) background information on waste sources; and (4) comparisons to previous forecasts and other national data sources. The focus of this report is low-level waste (LLW), mixed low-level waste (MLLW), and transuranic waste, both non-mixed and mixed (TRU(M)). Some details on hazardous waste are also provided, however, this information is not considered comprehensive. This report includes data requested in December, 2004 with updates through March 31,2005. The data represent a life cycle forecast covering all reported activities from FY2005 through the end of each program's life cycle and are an update of the previous FY2004.1 data version.

  8. Waste generation forecast for DOE-ORO`s Environmental Restoration OR-1 Project: FY 1995-FY 2002, September 1994 revision

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    A comprehensive waste-forecasting task was initiated in FY 1991 to provide a consistent, documented estimate of the volumes of waste expected to be generated as a result of U.S. Department of Energy-Oak Ridge Operations (DOE-ORO) Environmental Restoration (ER) OR-1 Project activities. Continual changes in the scope and schedules for remedial action (RA) and decontamination and decommissioning (D&D) activities have required that an integrated data base system be developed that can be easily revised to keep pace with changes and provide appropriate tabular and graphical output. The output can then be analyzed and used to drive planning assumptions for treatment, storage, and disposal (TSD) facilities. The results of this forecasting effort and a description of the data base developed to support it are provided herein. The initial waste-generation forecast results were compiled in November 1991. Since the initial forecast report, the forecast data have been revised annually. This report reflects revisions as of September 1994.

  9. Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting: Preprint

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

    Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting Preprint Jie Zhang 1 , Bri-Mathias Hodge 1 , Siyuan Lu 2 , Hendrik F. Hamann 2 , Brad Lehman 3 , Joseph Simmons 4 , Edwin Campos 5 , and Venkat Banunarayanan 6 1 National Renewable Energy Laboratory 2 IBM TJ Watson Research Center 3 Northeastern University 4 University of Arizona 5 Argonne National Laboratory 6 U.S. Department of Energy Presented at the IEEE Power and Energy Society General Meeting Denver,

  10. U.S. diesel fuel price forecast to be 1 penny lower this summer...

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

    That's down 12 percent from last summer's record exports. Biodiesel production, which averaged 68,000 barrels a day last summer, is forecast to jump to 82,000 barrels a day this ...

  11. Solar Forecasting

    Broader source: Energy.gov [DOE]

    On December 7, 2012, DOE announced $8 million to fund two solar projects that are helping utilities and grid operators better forecast when, where, and how much solar power will be produced at U.S....

  12. Supply Forecast and Analysis (SFA)

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

    Science Team Leader Oak Ridge National Laboratory DOE Bioenergy Technologies Office (BETO) 2015 Project Peer Review Supply Forecast and Analysis (SFA) 2 | Bioenergy Technologies ...

  13. Nambe Pueblo Water Budget and Forecasting model.

    SciTech Connect (OSTI)

    Brainard, James Robert

    2009-10-01

    This report documents The Nambe Pueblo Water Budget and Water Forecasting model. The model has been constructed using Powersim Studio (PS), a software package designed to investigate complex systems where flows and accumulations are central to the system. Here PS has been used as a platform for modeling various aspects of Nambe Pueblo's current and future water use. The model contains three major components, the Water Forecast Component, Irrigation Scheduling Component, and the Reservoir Model Component. In each of the components, the user can change variables to investigate the impacts of water management scenarios on future water use. The Water Forecast Component includes forecasting for industrial, commercial, and livestock use. Domestic demand is also forecasted based on user specified current population, population growth rates, and per capita water consumption. Irrigation efficiencies are quantified in the Irrigated Agriculture component using critical information concerning diversion rates, acreages, ditch dimensions and seepage rates. Results from this section are used in the Water Demand Forecast, Irrigation Scheduling, and the Reservoir Model components. The Reservoir Component contains two sections, (1) Storage and Inflow Accumulations by Categories and (2) Release, Diversion and Shortages. Results from both sections are derived from the calibrated Nambe Reservoir model where historic, pre-dam or above dam USGS stream flow data is fed into the model and releases are calculated.

  14. Why Models Don%3CU%2B2019%3Et Forecast.

    SciTech Connect (OSTI)

    McNamara, Laura A.

    2010-08-01

    The title of this paper, Why Models Don't Forecast, has a deceptively simple answer: models don't forecast because people forecast. Yet this statement has significant implications for computational social modeling and simulation in national security decision making. Specifically, it points to the need for robust approaches to the problem of how people and organizations develop, deploy, and use computational modeling and simulation technologies. In the next twenty or so pages, I argue that the challenge of evaluating computational social modeling and simulation technologies extends far beyond verification and validation, and should include the relationship between a simulation technology and the people and organizations using it. This challenge of evaluation is not just one of usability and usefulness for technologies, but extends to the assessment of how new modeling and simulation technologies shape human and organizational judgment. The robust and systematic evaluation of organizational decision making processes, and the role of computational modeling and simulation technologies therein, is a critical problem for the organizations who promote, fund, develop, and seek to use computational social science tools, methods, and techniques in high-consequence decision making.

  15. Solid waste integrated forecast technical (SWIFT) report: FY1997 to FY 2070, Revision 1

    SciTech Connect (OSTI)

    Valero, O.J.; Templeton, K.J.; Morgan, J.

    1997-01-07

    This web site provides an up-to-date report on the radioactive solid waste expected to be managed by Hanford's Waste Management (WM) Project from onsite and offsite generators. It includes: an overview of Hanford-wide solid waste to be managed by the WM Project; program-level and waste class-specific estimates; background information on waste sources; and comparisons with previous forecasts and with other national data sources. This web site does not include: liquid waste (current or future generation); waste to be managed by the Environmental Restoration (EM-40) contractor (i.e., waste that will be disposed of at the Environmental Restoration Disposal Facility (ERDF)); or waste that has been received by the WM Project to date (i.e., inventory waste). The focus of this web site is on low-level mixed waste (LLMW), and transuranic waste (both non-mixed and mixed) (TRU(M)). Some details on low-level waste and hazardous waste are also provided. Currently, this web site is reporting data th at was requested on 10/14/96 and submitted on 10/25/96. The data represent a life cycle forecast covering all reported activities from FY97 through the end of each program's life cycle. Therefore, these data represent revisions from the previous FY97.0 Data Version, due primarily to revised estimates from PNNL. There is some useful information about the structure of this report in the SWIFT Report Web Site Overview.

  16. Radar Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    1) To provide profiles of the horizontal wind to be used to test and validate short-term cloud advection forecasts for solar-energy applications and 2) to provide vertical ...

  17. Forecast Change

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

    Forecast Change 2011 2012 2013 2014 2015 2016 from 2015 United States Usage (kWh) 3,444 3,354 3,129 3,037 3,153 3,143 -0.3% Price (centskWh) 12.06 12.09 12.58 13.04 12.95 12.96 ...

  18. Solid Waste Integrated Forecast Technical (SWIFT) Report FY2001 to FY2046 Volume 1

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2000-08-31

    This report provides up-to-date life cycle information about the radioactive solid waste expected to be managed by Hanford's Waste Management (WM) Project from onsite and offsite generators. It includes: an overview of Hanford-wide solid waste to be managed by the WM Project; program-level and waste class-specific estimates; background information on waste sources; and comparisons to previous forecasts and other national data sources. This report does not include: waste to be managed by the Environmental Restoration (EM-40) contractor (i.e., waste that will be disposed of at the Environmental Restoration Disposal Facility (ERDF)); waste that has been received by the WM Project to date (i.e., inventory waste); mixed low-level waste that will be processed and disposed by the River Protection Program; and liquid waste (current or future generation). Although this report currently does not include liquid wastes, they may be added as information becomes available.

  19. Intermediate future forecasting system

    SciTech Connect (OSTI)

    Gass, S.I.; Murphy, F.H.; Shaw, S.H.

    1983-12-01

    The purposes of the Symposium on the Department of Energy's Intermediate Future Forecasting System (IFFS) were: (1) to present to the energy community details of DOE's new energy market model IFFS; and (2) to have an open forum in which IFFS and its major elements could be reviewed and critiqued by external experts. DOE speakers discussed the total system, its software design, and the modeling aspects of oil and gas supply, refineries, electric utilities, coal, and the energy economy. Invited experts critiqued each of these topics and offered suggestions for modifications and improvement. This volume documents the proceedings (papers and discussion) of the Symposium. Separate abstracts have been prepared for each presentation for inclusion in the Energy Data Base.

  20. RACORO Forecasting

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

    7a. Space Heating by Census Region and Climate Zone, Million U.S. Households, 1993 Space Heating Characteristics RSE Column Factor: Total Census Region Climate Zone RSE Row Factors Northeast Midwest South West Fewer than 2,000 CDD and -- More than 2,000 CDD and Few- er than 4,000 HDD More than 7,000 HDD 5,500 to 7,000 HDD 4,000 to 5,499 HDD Few- er than 4,000 HDD 0.5 0.9 1.1 0.8 0.8 1.6 1.3 1.2 1.2 1.1 Total ................................................. 96.6 19.5 23.3 33.5 20.4 8.7 26.5

  1. Development and testing of improved statistical wind power forecasting methods.

    SciTech Connect (OSTI)

    Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J.

    2011-12-06

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios (with spatial and/or temporal dependence). Statistical approaches to uncertainty forecasting basically consist of estimating the uncertainty based on observed forecasting errors. Quantile regression (QR) is currently a commonly used approach in uncertainty forecasting. In Chapter 3, we propose new statistical approaches to the uncertainty estimation problem by employing kernel density forecast (KDF) methods. We use two estimators in both offline and time-adaptive modes, namely, the Nadaraya-Watson (NW) and Quantilecopula (QC) estimators. We conduct detailed tests of the new approaches using QR as a benchmark. One of the major issues in wind power generation are sudden and large changes of wind power output over a short period of time, namely ramping events. In Chapter 4, we perform a comparative study of existing definitions and methodologies for ramp forecasting. We also introduce a new probabilistic method for ramp event detection. The method starts with a stochastic algorithm that generates wind power scenarios, which are passed through a high-pass filter for ramp detection and estimation of the likelihood of ramp events to happen. The report is organized as follows: Chapter 2 presents the results of the application of ITL training criteria to deterministic WPF; Chapter 3 reports the study on probabilistic WPF, including new contributions to wind power uncertainty forecasting; Chapter 4 presents a new method to predict and visualize ramp events, comparing it with state-of-the-art methodologies; Chapter 5 briefly summarizes the main findings and contributions of this report.

  2. ARM - CARES - Tracer Forecast for CARES

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

    CampaignsCarbonaceous Aerosols and Radiative Effects Study (CARES)Tracer Forecast for CARES Related Links CARES Home AAF Home ARM Data Discovery Browse Data Post-Campaign Data Sets Field Updates CARES Wiki Campaign Images Experiment Planning Proposal Abstract and Related Campaigns Science Plan Operations Plan Measurements Forecasts News News & Press Backgrounder (PDF, 1.45MB) G-1 Aircraft Fact Sheet (PDF, 1.3MB) Contacts Rahul Zaveri, Lead Scientist Tracer Forecasts for CARES This webpage

  3. Slide 1

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

    the 2 nd Quarter Forecast of negative 125 million. This forecast reflects: - Reduced Revenue forecast due to lower streamflows and dropping prices to date as well as expectations...

  4. The Value of Improved Wind Power Forecasting in the Western Interconnection (Poster), NREL (National Renewable Energy Laboratory)

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

    outcome of this research will facilitate a better functional understanding of wind forecasting accuracy and power system operations at various spatial and temporal scales.* Of particular interest are: 1. Correlated behavior among variables (e.g., changes in dispatch stacks, production costs, or generation by type as a function of forecasting accuracy); 2. The relative reduction in wind curtailment with improved forecasting accuracy; and 3. The value of information (e.g., which subset of

  5. Hawaii demand-side management resource assessment. Final report, Reference Volume 5: The DOETRAN user`s manual; The DOE-2/DBEDT DSM forecasting model interface

    SciTech Connect (OSTI)

    1995-04-01

    The DOETRAN model is a DSM database manager, developed to act as an intermediary between the whole building energy simulation model, DOE-2, and the DBEDT DSM Forecasting Model. DOETRAN accepts output data from DOE-2 and TRANslates that into the format required by the forecasting model. DOETRAN operates in the Windows environment and was developed using the relational database management software, Paradox 5.0 for Windows. It is not necessary to have any knowledge of Paradox to use DOETRAN. DOETRAN utilizes the powerful database manager capabilities of Paradox through a series of customized user-friendly windows displaying buttons and menus with simple and clear functions. The DOETRAN model performs three basic functions, with an optional fourth. The first function is to configure the user`s computer for DOETRAN. The second function is to import DOE-2 files with energy and loadshape data for each building type. The third main function is to then process the data into the forecasting model format. As DOETRAN processes the DOE-2 data, graphs of the total electric monthly impacts for each DSM measure appear, providing the user with a visual means of inspecting DOE-2 data, as well as following program execution. DOETRAN provides three tables for each building type for the forecasting model, one for electric measures, gas measures, and basecases. The optional fourth function provided by DOETRAN is to view graphs of total electric annual impacts by measure. This last option allows a comparative view of how one measure rates against another. A section in this manual is devoted to each of the four functions mentioned above, as well as computer requirements and exiting DOETRAN.

  6. Waste Generation Forecast for DOE-ORO`s Environmental Restoration OR-1 Project: FY 1994--FY 2001. Environmental Restoration Program, September 1993 Revision

    SciTech Connect (OSTI)

    Not Available

    1993-12-01

    This Waste Generation Forecast for DOE-ORO`s Environmental Restoration OR-1 Project. FY 1994--FY 2001 is the third in a series of documents that report current estimates of the waste volumes expected to be generated as a result of Environmental Restoration activities at Department of Energy, Oak Ridge Operations Office (DOE-ORO), sites. Considered in the scope of this document are volumes of waste expected to be generated as a result of remedial action and decontamination and decommissioning activities taking place at these sites. Sites contributing to the total estimates make up the DOE-ORO Environmental Restoration OR-1 Project: the Oak Ridge K-25 Site, the Oak Ridge National Laboratory, the Y-12 Plant, the Paducah Gaseous Diffusion Plant, the Portsmouth Gaseous Diffusion Plant, and the off-site contaminated areas adjacent to the Oak Ridge facilities (collectively referred to as the Oak Ridge Reservation Off-Site area). Estimates are available for the entire fife of all waste generating activities. This document summarizes waste estimates forecasted for the 8-year period of FY 1994-FY 2001. Updates with varying degrees of change are expected throughout the refinement of restoration strategies currently in progress at each of the sites. Waste forecast data are relatively fluid, and this document represents remediation plans only as reported through September 1993.

  7. Beamline 2.1

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

    linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (EE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field...

  8. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

    SciTech Connect (OSTI)

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together into larger views, which are then used for solar forecasting. We examine the system’s ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.

  9. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

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

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together intomore » larger views, which are then used for solar forecasting. We examine the system’s ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.« less

  10. Beamline 2.1

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

    2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x 2048-pixel

  11. Beamline 2.1

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

    2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x 2048-pixel

  12. Beamline 2.1

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

    Beamline 2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x

  13. Beamline 2.1

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

    2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x 2048-pixel

  14. Beamline 2.1

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

    Beamline 2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x

  15. Beamline 2.1

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

    Beamline 2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x

  16. Beamline 2.1

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

    Beamline 2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x

  17. Beamline 2.1

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

    2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x 2048-pixel

  18. Beamline 2.1

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

    2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x 2048-pixel

  19. Beamline 2.1

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

    2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x 2048-pixel

  20. Beamline 2.1

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

    2.1 Print National Center for X-Ray Tomography (NCXT) Scientific discipline: Biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 400 - 1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 2048 x 2048 pixels Resolving power (E/ĢE) 500-700 Endstations X-ray microscope (XM-2) Characteristics Full-field soft x-ray transmission microscope Spatial resolution Zone-plate dependent Detectors Back-thinned 2048- x 2048-pixel

  1. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations. The Southern Study Area, Final Report

    SciTech Connect (OSTI)

    Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

    2014-04-30

    This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP) -- Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute - 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 - 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems’ ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 - 3 hours.

  2. probabilistic energy production forecasts

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

    energy production forecasts - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary ...

  3. Wind Power Forecasting Data

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

    Operations Call 2012 Retrospective Reports 2012 Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email...

  4. Forecasting Water Quality & Biodiversity

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

    Forecasting Water Quality & Biodiversity March 25, 2015 Cross-cutting Sustainability ... that measure feedstock production, water quality, water quantity, and biodiversity. ...

  5. Wind Power Forecasting

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

    data Presentations BPA Super Forecast Methodology Related Links Near Real-time Wind Animation Meteorological Data Customer Supplied Generation Imbalance Dynamic Transfer Limits...

  6. Roel Neggers European Centre for Medium-range Weather Forecasts

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

    transition from shallow to deep convection using a dual mass flux boundary layer scheme Roel Neggers European Centre for Medium-range Weather Forecasts Introduction ! " #" $ % % & # % " " " ' % ' ( ) * + " % ( , - . / 0 / " 0 . * 0 . * . . " 0 References A short model description Sensitivity tests Results Tropospheric humidity # " humidity 1 % 2 % ' 3 " % + 1 % 2 % % 3 % Updraft entrainment ' + % " 3 % 4 # " + %' 5 6)( . % ' 1 % .7

  7. Using Wikipedia to forecast disease

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

    Using Wikipedia to forecast disease Using Wikipedia to forecast disease Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles. December 22, 2014 Using Wikipedia to forecast disease Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles. Contact Nancy Ambrosiano Communications Office (505) 667-0471 Email "A global disease-forecasting system will improve

  8. NREL: Transmission Grid Integration - Forecasting

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

    Forecasting NREL researchers use solar and wind resource assessment and forecasting techniques to develop models that better characterize the potential benefits and impacts of ...

  9. " East North Central",1.7,1.7,1.8,1.8,1.9,2

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

    " 5 or More Persons",2.1,2.2,2.3,2,2.2,2.5 "Household Composition" " Households With Children","NA","NA",2,2,2,2.2 " Age of Oldest Child" " Under 7 Years","NA","NA",1.8,1.8,1.8,2...

  10. Solid waste integrated forecast technical (SWEFT) report: FY1997 to FY 2070 - Document number changed to HNF-0918 at revision 1 - 1/7/97

    SciTech Connect (OSTI)

    Valero, O.J.

    1996-10-03

    This web site provides an up-to-date report on the radioactive solid waste expected to be managed at Hanford`s Solid Waste (SW) Program from onsite and offsite generators. It includes: an overview of Hanford-wide solid waste to be managed by the SW Program; program- level and waste class-specific estimates; background information on waste sources; and Li comparisons with previous forecasts and with other national data sources. The focus of this web site is on low- level mixed waste (LLMW), and transuranic waste (both non-mixed and mixed) (TRU(M)). Some details on low-level waste and hazardous waste are also provided. Currently, this site is reporting data current as of 9/96. The data represent a life cycle forecast covering all reported activities from FY97 through the end of each program`s life cycle.

  11. Forecastability as a Design Criterion in Wind Resource Assessment: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.

    2014-04-01

    This paper proposes a methodology to include the wind power forecasting ability, or 'forecastability,' of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

  12. Acquisition Forecast | Department of Energy

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

    Acquisition Forecast Acquisition Forecast Acquisition Forecast It is the policy of the U.S. Department of Energy (DOE) to provide timely information to the public regarding DOE's forecast of future prime contracting opportunities and subcontracting opportunities which are available via the Department's major site and facilities management contractors. This forecast has been expanded to also provide timely status information for ongoing prime contracting actions that are valued in excess of the

  13. The forecast calls for flu

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

    The forecast calls for flu Science on the Hill: The forecast calls for flu Using mathematics, computer programs, statistics and information about how disease develops and spreads, a research team at Los Alamos National Laboratory found a way to forecast the flu season and even next week's sickness trends. January 15, 2016 Forecasting flu A team from Los Alamos has developed a method to predict flu outbreaks based in part on influenza-related searches of Wikipedia. The forecast calls for flu

  14. Beamline 6.1.2

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

    Beamline 6.1.2 Beamline 6.1.2 Print Tuesday, 20 October 2009 08:41 Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics,...

  15. MPX V1.2

    Energy Science and Technology Software Center (OSTI)

    002209WKSTN00 Hardware Counter Multiplexing V1.2 https://computation.llnl.gov/casc/mpx/mpx.home.html

  16. Th1A.2.pdf

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

    Th1A.2.pdf OFC 2015 © OSA 2015 WAN Virtualization and Dynamic End-to-End Bandwidth Provisioning Using SDN Adrian Lara 1 , Byrav Ramamurthy 1 , Eric Pouyoul 2 and Inder Monga 2 1 University of Nebraska-Lincoln, Lincoln NE 68504 {alara,byrav}@cse.unl.edu 2 Energy Science Network, Lawrence Berkeley National Laboratory, Berkeley CA 94720 {lomax,imonga}@es.net Abstract: We evaluate a WAN-virtualization framework in terms of delay and scalability and demonstrate that adding a virtual layer between

  17. A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1. Wind and Turbulence

    SciTech Connect (OSTI)

    Nelson, Matthew A.; Brown, Michael J.; Halverson, Scot A.; Bieringer, Paul E.; Annunzio, Andrew; Bieberbach, George; Meech, Scott

    2015-09-25

    We found that numerical-weather-prediction models are often used to supply the mean wind and turbulence fields for atmospheric transport and dispersion plume models as they provide dense horizontally- and vertically-resolved geographic coverage in comparison to typically sparse monitoring networks. Here, the Weather Research and Forecasting (WRF) model was run over the month-long period of the Joint Urban 2003 field campaign conducted in Oklahoma City and the simulated fields important to transport and dispersion models were compared to measurements from a number of sodars, tower-based sonic anemometers, and balloon soundings located in the greater metropolitan area. Time histories of computed wind speed, wind direction, turbulent kinetic energy (e), friction velocity (u* ), and reciprocal Obukhov length (1 / L) were compared to measurements over the 1-month field campaign. Vertical profiles of wind speed, potential temperature (θ ), and e were compared during short intensive operating periods. The WRF model was typically able to replicate the measured diurnal variation of the wind fields, but with an average absolute wind direction and speed difference of 35° and 1.9 m s-1 , respectively. Then, using the Mellor-Yamada-Janjic (MYJ) surface-layer scheme, the WRF model was found to generally underpredict surface-layer TKE but overpredict u* that was observed above a suburban region of Oklahoma City. The TKE-threshold method used by the WRF model’s MYJ surface-layer scheme to compute the boundary-layer height (h) consistently overestimated h derived from a θ gradient method whether using observed or modelled θ profiles.

  18. A Case Study of the Weather Research and Forecasting Model Applied to the Joint Urban 2003 Tracer Field Experiment. Part 1. Wind and Turbulence

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

    Nelson, Matthew A.; Brown, Michael J.; Halverson, Scot A.; Bieringer, Paul E.; Annunzio, Andrew; Bieberbach, George; Meech, Scott

    2015-09-25

    We found that numerical-weather-prediction models are often used to supply the mean wind and turbulence fields for atmospheric transport and dispersion plume models as they provide dense horizontally- and vertically-resolved geographic coverage in comparison to typically sparse monitoring networks. Here, the Weather Research and Forecasting (WRF) model was run over the month-long period of the Joint Urban 2003 field campaign conducted in Oklahoma City and the simulated fields important to transport and dispersion models were compared to measurements from a number of sodars, tower-based sonic anemometers, and balloon soundings located in the greater metropolitan area. Time histories of computed windmore » speed, wind direction, turbulent kinetic energy (e), friction velocity (u* ), and reciprocal Obukhov length (1 / L) were compared to measurements over the 1-month field campaign. Vertical profiles of wind speed, potential temperature (θ ), and e were compared during short intensive operating periods. The WRF model was typically able to replicate the measured diurnal variation of the wind fields, but with an average absolute wind direction and speed difference of 35° and 1.9 m s-1 , respectively. Then, using the Mellor-Yamada-Janjic (MYJ) surface-layer scheme, the WRF model was found to generally underpredict surface-layer TKE but overpredict u* that was observed above a suburban region of Oklahoma City. The TKE-threshold method used by the WRF model’s MYJ surface-layer scheme to compute the boundary-layer height (h) consistently overestimated h derived from a θ gradient method whether using observed or modelled θ profiles.« less

  19. TOUGH V2.1

    Energy Science and Technology Software Center (OSTI)

    2011-06-01

    TOUGH2 is a numerical simulator for nonisothermal flows of multicomponent, multiphase fluids in one-, two-, and three-dimensional porous and fracture media. The chief applications for which TOUGH2 is designed are in geothermal reservoir engineering, nuclear waste disposal, environmental assessment and remediation, geologic carbon sequestration, and unsaturated and saturated zone hydrology. The TOUGH2 V2.1 package is an upgrade of TOUGH2 V2.0 (CR-1574) and includes the following improvements and enhancements relative to TOUGH2 V2.0: - Includes allmore » known bug fixes - The module TMVOC (CR-1820) is fully integrated - The module ECO2N (CR-2202) is fully integrated - A fluid property module ECO2M has been added, that can seamlessly model CO2 storage and leakage scenarios, including transitions between super- and sub-critical fluids, and phase changes between liquid and gaseous CO2. The TOUGH2 V2.1 package also supports all legacy fluid property modules, i.e., those packaged into TOUGH2 V2.0 (CR-1574), which includes T2VOC (CR-1254).« less

  20. table1.2_02

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

    2 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Trillion Btu. Shipments RSE NAICS Net Residual Distillate Natural LPG and Coke and of Energy Sources Row Code(a) Subsector and Industry Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Factors Total United States RSE Column Factors: 0.9 1 1.2 1.8 1 1.6 0.8 0.9 1.2 0.4 311 Food 1,123 230

  1. Beamline 6.1.2

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

    Beamline 6.1.2 Beamline 6.1.2 Print Tuesday, 20 October 2009 08:41 Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE)

  2. Beamline 6.1.2

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

    1000 x 1000 pixels, 1000 photonspixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (EE) 500-700 Endstations X-ray microscope (XM-1) Characteristics Full-field soft...

  3. Beamline 6.1.2

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

    recorded in 3 s at 517 eV with 0.2% BW Resolving power (EE) 500-700 Endstations X-ray microscope (XM-1) Characteristics Full-field soft x-ray transmission microscope Spatial...

  4. ex1ex2v2 Version 2.10

    Energy Science and Technology Software Center (OSTI)

    2007-09-12

    ex1ex2v2 is a translator program which will convert a database in exodus1 format to exodusII format. The exodus 1 format is a defined series of Fortran unformatted writes/reads; the exodusII format is defined by the ExodusII API.

  5. Beamline 6.1.2

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

    1.2 Print Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE) 500-700 Endstations X-ray microscope (XM-1)

  6. Beamline 6.1.2

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

    1.2 Print Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE) 500-700 Endstations X-ray microscope (XM-1)

  7. Beamline 6.1.2

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

    Beamline 6.1.2 Print Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE) 500-700 Endstations X-ray microscope (XM-1)

  8. Beamline 6.1.2

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

    Beamline 6.1.2 Print Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE) 500-700 Endstations X-ray microscope (XM-1)

  9. Beamline 6.1.2

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

    Beamline 6.1.2 Print Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE) 500-700 Endstations X-ray microscope (XM-1)

  10. Beamline 6.1.2

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

    Beamline 6.1.2 Print Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE) 500-700 Endstations X-ray microscope (XM-1)

  11. Beamline 6.1.2

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

    1.2 Print Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE) 500-700 Endstations X-ray microscope (XM-1)

  12. Beamline 6.1.2

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

    1.2 Print Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE) 500-700 Endstations X-ray microscope (XM-1)

  13. Beamline 6.1.2

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

    1.2 Print Center for X-Ray Optics Soft X-Ray Microscopy Scientific disciplines: Magnetism, spin dynamics, x-ray optics, environmental science, materials science GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 500-1300 eV Monochromator Zone-plate linear Measured flux (1.9 GeV, 400 mA) Images with 1000 x 1000 pixels, 1000 photons/pixel recorded in 3 s at 517 eV with 0.2% BW Resolving power (E/ΔE) 500-700 Endstations X-ray microscope (XM-1)

  14. Beamline 8.2.1

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

    1 Beamline 8.2.1 Print Tuesday, 20 October 2009 08:53 Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE.

  15. Buildings Energy Data Book: 2.1 Residential Sector Energy Consumption

    Buildings Energy Data Book [EERE]

    7 Range 10 4 48 Clothes Dryer 359 (2) 4 49 Water Heating Water Heater-Family of 4 40 64 (3) 26 294 Water Heater-Family of 2 40 32 (3) 12 140 Note(s): Source(s): 1) $1.139/therm. 2) Cycles/year. 3) Gallons/day. A.D. Little, EIA-Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case, Sept. 2, 1998, p. 30 for range and clothes dryer; LBNL, Energy Data Sourcebook for the U.S. Residential Sector, LBNL-40297, Sept. 1997, p. 62-67 for water heating; GAMA,

  16. Forecasting longitudinal changes in oropharyngeal tumor morphology throughout the course of head and neck radiation therapy

    SciTech Connect (OSTI)

    Yock, Adam D.; Kudchadker, Rajat J.; Rao, Arvind; Dong, Lei; Beadle, Beth M.; Garden, Adam S.; Court, Laurence E.

    2014-08-15

    Purpose: To create models that forecast longitudinal trends in changing tumor morphology and to evaluate and compare their predictive potential throughout the course of radiation therapy. Methods: Two morphology feature vectors were used to describe 35 gross tumor volumes (GTVs) throughout the course of intensity-modulated radiation therapy for oropharyngeal tumors. The feature vectors comprised the coordinates of the GTV centroids and a description of GTV shape using either interlandmark distances or a spherical harmonic decomposition of these distances. The change in the morphology feature vector observed at 33 time points throughout the course of treatment was described using static, linear, and mean models. Models were adjusted at 0, 1, 2, 3, or 5 different time points (adjustment points) to improve prediction accuracy. The potential of these models to forecast GTV morphology was evaluated using leave-one-out cross-validation, and the accuracy of the models was compared using Wilcoxon signed-rank tests. Results: Adding a single adjustment point to the static model without any adjustment points decreased the median error in forecasting the position of GTV surface landmarks by the largest amount (1.2 mm). Additional adjustment points further decreased the forecast error by about 0.4 mm each. Selection of the linear model decreased the forecast error for both the distance-based and spherical harmonic morphology descriptors (0.2 mm), while the mean model decreased the forecast error for the distance-based descriptor only (0.2 mm). The magnitude and statistical significance of these improvements decreased with each additional adjustment point, and the effect from model selection was not as large as that from adding the initial points. Conclusions: The authors present models that anticipate longitudinal changes in tumor morphology using various models and model adjustment schemes. The accuracy of these models depended on their form, and the utility of these models includes the characterization of patient-specific response with implications for treatment management and research study design.

  17. Short-Term Energy Outlook Model Documentation: Macro Bridge Procedure to Update Regional Macroeconomic Forecasts with National Macroeconomic Forecasts

    Reports and Publications (EIA)

    2010-01-01

    The Regional Short-Term Energy Model (RSTEM) uses macroeconomic variables such as income, employment, industrial production and consumer prices at both the national and regional1 levels as explanatory variables in the generation of the Short-Term Energy Outlook (STEO). This documentation explains how national macroeconomic forecasts are used to update regional macroeconomic forecasts through the RSTEM Macro Bridge procedure.

  18. Using Wikipedia to forecast diseases

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

    Using Wikipedia to forecast diseases Using Wikipedia to forecast diseases Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles. November 13, 2014 Del Valle and her team observe findings from their research on disease patterns from analyzing Wikipedia articles. Del Valle and her team observe findings from their research on disease patterns from analyzing Wikipedia articles. Contact Nancy Ambrosiano Communications Office (505)

  19. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE. Monochromator Double crystal, Si(111) Measured

  20. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE. Monochromator Double crystal, Si(111) Measured

  1. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE. Monochromator Double crystal, Si(111) Measured

  2. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE. Monochromator Double crystal, Si(111) Measured

  3. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE. Monochromator Double crystal, Si(111) Measured

  4. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE. Monochromator Double crystal, Si(111) Measured

  5. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE. Monochromator Double crystal, Si(111) Measured

  6. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE. Monochromator Double crystal, Si(111) Measured

  7. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural biology GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Superbend magnet (5.0 T, single pole) Energy range 5-16 keV (standard monochromator); 10-13 keV (multilayer) NOTE: AS OF MAY 2016, BEAMLINE 8.2.1 IS RESTRICTED TO MULTILAYER MODE UNTIL FURTHER NOTICE. Monochromator Double crystal, Si(111) Measured

  8. UWIG Forecasting Workshop -- Albany (Presentation)

    SciTech Connect (OSTI)

    Lew, D.

    2011-04-01

    This presentation describes the importance of good forecasting for variable generation, the different approaches used by industry, and the importance of validated high-quality data.

  9. Forecast Energy | Open Energy Information

    Open Energy Info (EERE)

    Zip: 94965 Region: Bay Area Sector: Services Product: Intelligent Monitoring and Forecasting Services Year Founded: 2010 Website: www.forecastenergy.net Coordinates:...

  10. A Public-Private-Academic Partnership to Advance Solar Power Forecasting |

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

    Department of Energy A Public-Private-Academic Partnership to Advance Solar Power Forecasting A Public-Private-Academic Partnership to Advance Solar Power Forecasting UCAR logo2.jpg The University Corporation for Atmospheric Research (UCAR) will develop a solar power forecasting system that advances the state of the science through cutting-edge research. APPROACH UCAR value chain.png The team will develop a solar power forecasting system that advances the state of the science through

  11. Appendix I1-2 to Wind HUI Initiative 1: Field Campaign Report

    SciTech Connect (OSTI)

    John Zack; Deborah Hanley; Dora Nakafuji

    2012-07-15

    This report is an appendix to the Hawaii WindHUI efforts to dev elop and operationalize short-term wind forecasting and wind ramp event forecasting capabilities. The report summarizes the WindNET field campaign deployment experiences and challenges. As part of the WindNET project on the Big Island of Hawaii, AWS Truepower (AWST) conducted a field campaign to assess the viability of deploying a network of monitoring systems to aid in local wind energy forecasting. The data provided at these monitoring locations, which were strategically placed around the Big Island of Hawaii based upon results from the Oahu Wind Integration and Transmission Study (OWITS) observational targeting study (Figure 1), provided predictive indicators for improving wind forecasts and developing responsive strategies for managing real-time, wind-related system events. The goal of the field campaign was to make measurements from a network of remote monitoring devices to improve 1- to 3-hour look ahead forecasts for wind facilities.

  12. SUPESv.4.1.2

    Energy Science and Technology Software Center (OSTI)

    2001-04-25

    SUPES is a collection of subprograms that perform frequently used non-numerical services for the engineering applications programmer. The three functional categories of SUPES are: (1) input command parsing, (2) dynamic memory management, and (3) system dependent utilities. The subprograms in categories one and two are written in standard FORTRAN-77, while the subprograms in category three are written provide a standarized FORTRAN interface to several system dependent features.

  13. Solar Energy Market Forecast | Open Energy Information

    Open Energy Info (EERE)

    Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast AgencyCompany Organization: United States Department of Energy Sector:...

  14. Module 6 - Metrics, Performance Measurements and Forecasting...

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

    6 - Metrics, Performance Measurements and Forecasting Module 6 - Metrics, Performance Measurements and Forecasting This module focuses on the metrics and performance measurement ...

  15. Beamline 3.2.1

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

    2.1 Print Commercial deep-etch x-ray lithography (LIGA) GENERAL BEAMLINE INFORMATION Operational Yes, but not open to users Source characteristics Bend magnet Energy range 3-12 keV Monochromator None Endstations Hutch with automated scanner Calculated spot size at sample 100 x 10 mm Sample format 3- and 4-in. wafer format; x-ray mask and LIGA substrate Sample environment Ambient, air Scientific disciplines Applied science Scientific applications Deep-etch x-ray lithography (LIGA) Spokesperson

  16. Beamline 3.2.1

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

    2.1 Print Commercial deep-etch x-ray lithography (LIGA) GENERAL BEAMLINE INFORMATION Operational Yes, but not open to users Source characteristics Bend magnet Energy range 3-12 keV Monochromator None Endstations Hutch with automated scanner Calculated spot size at sample 100 x 10 mm Sample format 3- and 4-in. wafer format; x-ray mask and LIGA substrate Sample environment Ambient, air Scientific disciplines Applied science Scientific applications Deep-etch x-ray lithography (LIGA) Spokesperson

  17. Beamline 3.2.1

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

    2.1 Print Commercial deep-etch x-ray lithography (LIGA) GENERAL BEAMLINE INFORMATION Operational Yes, but not open to users Source characteristics Bend magnet Energy range 3-12 keV Monochromator None Endstations Hutch with automated scanner Calculated spot size at sample 100 x 10 mm Sample format 3- and 4-in. wafer format; x-ray mask and LIGA substrate Sample environment Ambient, air Scientific disciplines Applied science Scientific applications Deep-etch x-ray lithography (LIGA) Spokesperson

  18. Beamline 3.2.1

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

    2.1 Print Commercial deep-etch x-ray lithography (LIGA) GENERAL BEAMLINE INFORMATION Operational Yes, but not open to users Source characteristics Bend magnet Energy range 3-12 keV Monochromator None Endstations Hutch with automated scanner Calculated spot size at sample 100 x 10 mm Sample format 3- and 4-in. wafer format; x-ray mask and LIGA substrate Sample environment Ambient, air Scientific disciplines Applied science Scientific applications Deep-etch x-ray lithography (LIGA) Spokesperson

  19. Beamline 3.2.1

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

    2.1 Print Commercial deep-etch x-ray lithography (LIGA) GENERAL BEAMLINE INFORMATION Operational Yes, but not open to users Source characteristics Bend magnet Energy range 3-12 keV Monochromator None Endstations Hutch with automated scanner Calculated spot size at sample 100 x 10 mm Sample format 3- and 4-in. wafer format; x-ray mask and LIGA substrate Sample environment Ambient, air Scientific disciplines Applied science Scientific applications Deep-etch x-ray lithography (LIGA) Spokesperson

  20. Beamline 3.2.1

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

    2.1 Print Commercial deep-etch x-ray lithography (LIGA) GENERAL BEAMLINE INFORMATION Operational Yes, but not open to users Source characteristics Bend magnet Energy range 3-12 keV Monochromator None Endstations Hutch with automated scanner Calculated spot size at sample 100 x 10 mm Sample format 3- and 4-in. wafer format; x-ray mask and LIGA substrate Sample environment Ambient, air Scientific disciplines Applied science Scientific applications Deep-etch x-ray lithography (LIGA) Spokesperson

  1. Summer gasoline price forecast slightly higher, but drivers still...

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

    In its new monthly forecast, the U.S. Energy Information Administration said the retail price for regular grade gasoline will average 2.21 per gallon this summer. While that's 17 ...

  2. ARM - PI Product - CCPP-ARM Parameterization Testbed Model Forecast...

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

    love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : CCPP-ARM Parameterization Testbed Model Forecast Data Dataset contains the NCAR...

  3. New Forecasting Tools Enhance Wind Energy Integration In Idaho...

    Office of Environmental Management (EM)

    New Forecasting Tools Enhance Wind Energy Integration in Idaho and Oregon Page 1 Under the ... (RIT) that enables grid operators to use wind energy more cost-effectively to serve ...

  4. Science on Tap - Forecasting illness

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

    Science on Tap - Forecasting illness Science on Tap - Forecasting illness WHEN: Mar 17, 2016 5:30 PM - 7:00 PM WHERE: UnQuarked Wine Room 145 Central Park Square, Los Alamos, New Mexico 87544 USA CONTACT: Linda Anderman (505) 665-9196 CATEGORY: Bradbury INTERNAL: Calendar Login Event Description Mark your calendars for this event held every third Thursday from 5:30 to 7 p.m. A short presentation is followed by a lively discussion on a different subject each month. Forecasting the flu (and other

  5. Acquisition Forecast Download | Department of Energy

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

    Acquisition Forecast Download Acquisition Forecast Download Click on the link to download a copy of the DOE HQ Acquisition Forecast. File Acquisition-Forecast-2016-05-06.xlsx More Documents & Publications Small Business Program Manager Directory EA-1900: Notice of Availability of a Draft Environmental Assessment Small Business Program Manager Directory

  6. Value of Wind Power Forecasting

    SciTech Connect (OSTI)

    Lew, D.; Milligan, M.; Jordan, G.; Piwko, R.

    2011-04-01

    This study, building on the extensive models developed for the Western Wind and Solar Integration Study (WWSIS), uses these WECC models to evaluate the operating cost impacts of improved day-ahead wind forecasts.

  7. Enhanced Short-Term Wind Power Forecasting and Value to Grid Operations: Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Clark, C.; Cline, J.; Benjamin, S.; Wilczak, J.; Marquis, M.; Finley, C.; Stern, A.; Freedman, J.

    2012-09-01

    The current state of the art of wind power forecasting in the 0- to 6-hour time frame has levels of uncertainty that are adding increased costs and risk on the U.S. electrical grid. It is widely recognized within the electrical grid community that improvements to these forecasts could greatly reduce the costs and risks associated with integrating higher penetrations of wind energy. The U.S. Department of Energy has sponsored a research campaign in partnership with the National Oceanic and Atmospheric Administration (NOAA) and private industry to foster improvements in wind power forecasting. The research campaign involves a three-pronged approach: 1) a 1-year field measurement campaign within two regions; 2) enhancement of NOAA's experimental 3-km High-Resolution Rapid Refresh (HRRR) model by assimilating the data from the field campaign; and 3) evaluation of the economic and reliability benefits of improved forecasts to grid operators. This paper and presentation provides an overview of the regions selected, instrumentation deployed, data quality and control, assimilation of data into HRRR, and preliminary results of HRRR performance analysis.

  8. EnergyPlus 1.2.2

    Energy Science and Technology Software Center (OSTI)

    2005-05-01

    EnergyPlus (E+) is a new whole-building energy analysis program that combines the best capabilities and features from BLAST and DOE-2 along with new capabilities. E+ modular implementation facilitates extending the program and adding links to other programs. The fluid loops and HVAC components support a "manager-interface" simulation protocol that allows for the independent simulation of subsystems, each possibly using a customized solution procedure. Thus, the E+ program structure allows the solution to a particular subsystemmore » to be computed without affecting the solution schemes used for the other subsystems. This fundamental requirement enables the integration of external models in the El+ building systems simulation.« less

  9. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  10. Beamline 8.2.1

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

    1 Print Berkeley Center for Structural Biology (BCSB) Multiple-Wavelength Anomalous Diffraction (MAD) and Macromolecular Crystallography (MX) Scientific discipline: Structural...

  11. A s o f 1 2 / 3 1 / 2 0 1 5

    Wind Powering America (EERE)

    2 0 1 5 Y e a r E n d Wi n d P o w e r C a p a c i t y ( MW)

  12. Wind Forecast Improvement Project Southern Study Area Final Report...

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

    Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report PDF icon Wind Forecast Improvement Project ...

  13. Uncertainty Reduction in Power Generation Forecast Using Coupled...

    Office of Scientific and Technical Information (OSTI)

    quantify the forecast uncertainty by reducing prediction intervals of forecasts. ... means, e.g., using weather-based models, and reduce forecast errors prediction intervals. ...

  14. Picture of the Week: Forecasting Flu

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

    3 Forecasting Flu What if we could forecast infectious diseases the same way we forecast the weather, and predict how diseases like Dengue, Typhus or Zika were going to spread? March 6, 2016 flu epidemics modellled using social media Watch the video on YouTube. Forecasting Flu What if we could forecast infectious diseases the same way we forecast the weather, and predict how diseases like Dengue, Typhus or Zika were going to spread? Using real-time data from Wikipedia and social media, Sara del

  15. Beamline 8.2.1

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

    flux (1.9 GeV, 400 mA) 3.0 x 1011 photonssec Resolving power (EE) 7,000 Divergence (max at sample) 3.0 (h) x 0.5 (v) mrad Measured spot size (FWHM) 100 m Endstations...

  16. Slide 1

    Energy Savers [EERE]

    Environmental Management Frank Marcinowski Deputy Assistant Secretary for Waste Management September 2, 2015 www.energy.gov/EM 2  Waste Disposition Updates Waste Disposition Updates www.energy.gov/EM 3 Nevada  Nevada National Security Site continues to serve an important cleanup mission as regional disposal facility for DOE LLW/MLLW:  FY14 Disposal: 1,269,000 cubic feet  FY2015 Forecast: 1,651,000 cubic feet  FY2015 to date: 76 percent of forecast  Continuing working group

  17. MOSS2D V1

    Energy Science and Technology Software Center (OSTI)

    2001-01-31

    This software reduces the data from two-dimensional kSA MOS program, k-Space Associates, Ann Arbor, MI. Initial MOS data is recorded without headers in 38 columns, with one row of data per acquisition per lase beam tracked. The final MOSS 2d data file is reduced, graphed, and saved in a tab-delimited column format with headers that can be plotted in any graphing software.

  18. USE OF AN EQUILIBRIUM MODEL TO FORECAST DISSOLUTION EFFECTIVENESS, SAFETY IMPACTS, AND DOWNSTREAM PROCESSABILITY FROM OXALIC ACID AIDED SLUDGE REMOVAL IN SAVANNAH RIVER SITE HIGH LEVEL WASTE TANKS 1-15

    SciTech Connect (OSTI)

    KETUSKY, EDWARD

    2005-10-31

    This thesis details a graduate research effort written to fulfill the Magister of Technologiae in Chemical Engineering requirements at the University of South Africa. The research evaluates the ability of equilibrium based software to forecast dissolution, evaluate safety impacts, and determine downstream processability changes associated with using oxalic acid solutions to dissolve sludge heels in Savannah River Site High Level Waste (HLW) Tanks 1-15. First, a dissolution model is constructed and validated. Coupled with a model, a material balance determines the fate of hypothetical worst-case sludge in the treatment and neutralization tanks during each chemical adjustment. Although sludge is dissolved, after neutralization more is created within HLW. An energy balance determines overpressurization and overheating to be unlikely. Corrosion induced hydrogen may overwhelm the purge ventilation. Limiting the heel volume treated/acid added and processing the solids through vitrification is preferred and should not significantly increase the number of glass canisters.

  19. EIA lowers forecast for summer gasoline prices

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

    EIA lowers forecast for summer gasoline prices U.S. gasoline prices are expected to be ... according to the new monthly forecast from the U.S. Energy Information Administration. ...

  20. D E -F G 0 2 -1 0 E R 2 6 0 2 1

    Office of Scientific and Technical Information (OSTI)

    D E -F G 0 2 -1 0 E R 2 6 0 2 1 P r o je c t T itle: D etection, Localization and D iagnosis o f P erform ance Problems Using P erfS O N A R P r o je c t W eb site: h ttp ://p y th ia .g a te c h .e d u / P I: Prof. C on stan tin e D ovrolis I n s titu tio n : G eorgia Tech C heck one: [ ] 1st Annual Report (9/1/10-8/31/11) Date [ ] 2nd Annual Report Date [X] Final R ep o rt D ate April 25, 2014 U n e x p en d ed funds by end o f rep ortin g period: 0 1 O rigin al P r o p o sa l S u m m a ry

  1. Wind Forecasting Improvement Project | Department of Energy

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

    Forecasting Improvement Project Wind Forecasting Improvement Project October 3, 2011 - 12:12pm Addthis This is an excerpt from the Third Quarter 2011 edition of the Wind Program R&D Newsletter. In July, the Department of Energy launched a $6 million project with the National Oceanic and Atmospheric Administration (NOAA) and private partners to improve wind forecasting. Wind power forecasting allows system operators to anticipate the electrical output of wind plants and adjust the electrical

  2. NREL: Resource Assessment and Forecasting Home Page

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

    NREL's resource assessment and forecasting research supports industry, government, and academia by providing renewable energy resource measurements, models, maps, and support services. These resources are used to plan and develop renewable energy technologies and support climate change research. Learn more about NREL's resource assessment and forecasting research: Capabilities Facilities Research staff Data and resources. Resource assessment and forecasting research is primarily performed at

  3. TableHC2.1.xls

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

    Total.............................................................. 111.1 78.1 64.1 4.2 1.8 2.3 5.7 Census Region and Division Northeast.................................................... 20.6 13.4 10.4 1.4 1.0 0.3 0.4 New England........................................... 5.5 3.8 3.1 Q 0.3 Q Q Middle Atlantic........................................ 15.1 9.6 7.3 1.3 0.6 Q Q Midwest...................................................... 25.6 19.4 16.9 1.0 0.5 0.4 0.7 East North

  4. Slide 1

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

    SDB 8(a) 5M 8(a) 31M Native American 2-4.3M SDVOB 9M HUBSDV 5M FORECAST OF OPPORTUNITIES 7 Classification Funding HubSole Proprietor TBD TBD 360M FORECAST OF OPPORTUNITIES

  5. Slide 1

    Office of Environmental Management (EM)

    Hydropower System Status Report 1LT James P. Trombly April 2016 BUILDING STRONG ® Current System Status BUILDING STRONG ® Forecasted System Status BUILDING STRONG ® Forecasted System Status

  6. CCPP-ARM Parameterization Testbed Model Forecast Data

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

    Klein, Stephen

    Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

  7. CCPP-ARM Parameterization Testbed Model Forecast Data

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

    Klein, Stephen

    2008-01-15

    Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

  8. Navy mobility fuels forecasting system report: World petroleum trade forecasts for the year 2000

    SciTech Connect (OSTI)

    Das, S.

    1991-12-01

    The Middle East will continue to play the dominant role of a petroleum supplier in the world oil market in the year 2000, according to business-as-usual forecasts published by the US Department of Energy. However, interesting trade patterns will emerge as a result of the democratization in the Soviet Union and Eastern Europe. US petroleum imports will increase from 46% in 1989 to 49% in 2000. A significantly higher level of US petroleum imports (principally products) will be coming from Japan, the Soviet Union, and Eastern Europe. Several regions, the Far East, Japan, Latin American, and Africa will import more petroleum. Much uncertainty remains about of the level future Soviet crude oil production. USSR net petroleum exports will decrease; however, the United States and Canada will receive some of their imports from the Soviet Union due to changes in the world trade patterns. The Soviet Union can avoid becoming a net petroleum importer as long as it (1) maintains enough crude oil production to meet its own consumption and (2) maintains its existing refining capacities. Eastern Europe will import approximately 50% of its crude oil from the Middle East.

  9. table2.1_02.xls

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

    1 Nonfuel (Feedstock) Use of Combustible Energy, 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Physical Units or Btu. Coke Residual Distillate Natural LPG and Coal and Breeze NAICS Total Fuel Oil Fuel Oil(b) Gas(c) NGL(d) (million (million Other(e) Code(a) Subsector and Industry (trillion Btu) (million bbl) (million bbl) (billion cu ft) (million bbl) short tons) short tons) (trillion Btu) Total United States RSE Column Factors: 1.4 0.4 1.6 1.2 1.2 1.1

  10. Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy

    SciTech Connect (OSTI)

    Parks, K.; Wan, Y. H.; Wiener, G.; Liu, Y.

    2011-10-01

    The focus of this report is the wind forecasting system developed during this contract period with results of performance through the end of 2010. The report is intentionally high-level, with technical details disseminated at various conferences and academic papers. At the end of 2010, Xcel Energy managed the output of 3372 megawatts of installed wind energy. The wind plants span three operating companies1, serving customers in eight states2, and three market structures3. The great majority of the wind energy is contracted through power purchase agreements (PPAs). The remainder is utility owned, Qualifying Facilities (QF), distributed resources (i.e., 'behind the meter'), or merchant entities within Xcel Energy's Balancing Authority footprints. Regardless of the contractual or ownership arrangements, the output of the wind energy is balanced by Xcel Energy's generation resources that include fossil, nuclear, and hydro based facilities that are owned or contracted via PPAs. These facilities are committed and dispatched or bid into day-ahead and real-time markets by Xcel Energy's Commercial Operations department. Wind energy complicates the short and long-term planning goals of least-cost, reliable operations. Due to the uncertainty of wind energy production, inherent suboptimal commitment and dispatch associated with imperfect wind forecasts drives up costs. For example, a gas combined cycle unit may be turned on, or committed, in anticipation of low winds. The reality is winds stayed high, forcing this unit and others to run, or be dispatched, to sub-optimal loading positions. In addition, commitment decisions are frequently irreversible due to minimum up and down time constraints. That is, a dispatcher lives with inefficient decisions made in prior periods. In general, uncertainty contributes to conservative operations - committing more units and keeping them on longer than may have been necessary for purposes of maintaining reliability. The downside is costs are higher. In organized electricity markets, units that are committed for reliability reasons are paid their offer price even when prevailing market prices are lower. Often, these uplift charges are allocated to market participants that caused the inefficient dispatch in the first place. Thus, wind energy facilities are burdened with their share of costs proportional to their forecast errors. For Xcel Energy, wind energy uncertainty costs manifest depending on specific market structures. In the Public Service of Colorado (PSCo), inefficient commitment and dispatch caused by wind uncertainty increases fuel costs. Wind resources participating in the Midwest Independent System Operator (MISO) footprint make substantial payments in the real-time markets to true-up their day-ahead positions and are additionally burdened with deviation charges called a Revenue Sufficiency Guarantee (RSG) to cover out of market costs associated with operations. Southwest Public Service (SPS) wind plants cause both commitment inefficiencies and are charged Southwest Power Pool (SPP) imbalance payments due to wind uncertainty and variability. Wind energy forecasting helps mitigate these costs. Wind integration studies for the PSCo and Northern States Power (NSP) operating companies have projected increasing costs as more wind is installed on the system due to forecast error. It follows that reducing forecast error would reduce these costs. This is echoed by large scale studies in neighboring regions and states that have recommended adoption of state-of-the-art wind forecasting tools in day-ahead and real-time planning and operations. Further, Xcel Energy concluded reduction of the normalized mean absolute error by one percent would have reduced costs in 2008 by over $1 million annually in PSCo alone. The value of reducing forecast error prompted Xcel Energy to make substantial investments in wind energy forecasting research and development.

  11. Substituted 1,2-azaborine heterocycles

    DOE Patents [OSTI]

    Liu, Shih-Yuan; Lamm, Ashley

    2014-12-30

    Aromatic heterocycles incorporating boron and nitrogen atoms, in particular, 1,2-azaborine compounds having the formula ##STR00001## and their use as synthetic intermediates.

  12. Neutrino_Lectures_1and2

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

    Lectures on Neutrino Physics Lake Louise School February, 2002 Mike Shaevitz Lecture 1: Neutrino Interactions Example: NuTeV sin 2 θ W Measurement Direct Neutrino Mass Measurements Neutrino Oscillation Phenomenology Solar Neutrinos (part 1) Lecture 2: Solar Neutrinos (part 2) Atmospheric and Longbaseline Exps. LSND Region Experiments Summary and Conclusions 2 Introduction to Neutrino Interactions 3 Neutrino Interactions * W exchange gives Charged-Current (CC) events and Z exchange gives

  13. Voluntary Green Power Market Forecast through 2015

    SciTech Connect (OSTI)

    Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

    2010-05-01

    Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

  14. 1-2-3 - Economic Indicators.123

    National Nuclear Security Administration (NNSA)

    Airline Passengers December 2009 3,097,382 3,234,705 3,164,313 -4.2% -2.1% Gaming Revenue December 2009 753,169,630 750,798,061 771,800,158 0.3% -2.4% Visitor Volume (all...

  15. Preparation of 1,1'-dinitro-3,3'-azo-1,2,4-triazole. [1,1'-dinitro-3,3'-azo-1,2,4-triazole

    DOE Patents [OSTI]

    Lee, K.Y.

    1985-03-05

    A new high density composition of matter, 1,1'-dinitro-3,3'-azo-1,2,4-triazole, has been synthesized using inexpensive, commonly available compounds. This compound has been found to be an explosive, and its use as a propellant is anticipated. 1 fig., 1 tab.

  16. ARM - VAP Product - 2rlprofdep1turn

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

    Productsrlprof2rlprofdep1turn Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027735 [ What is this? ] Generate Citation 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 VAP Output : 2RLPROFDEP1TURN 2-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths Active Dates 2004.10.01 - 2015.09.25 Originating VAP Process Raman LIDAR Vertical Profiles :

  17. Solar Forecast Improvement Project | Department of Energy

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

    NOAA also will provide advanced satellite products. INNOVATIONS NOAA is providing numerical weather prediction (NWP) modeling with new information that will help solar forecasts. ...

  18. Development and Demonstration of Advanced Forecasting, Power...

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

    Management Tools and Best Practices Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices Development ...

  19. NREL: Resource Assessment and Forecasting - Webmaster

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

    email address: Your message: Send Message Printable Version Resource Assessment & Forecasting Home Capabilities Facilities Working with Us Research Staff Data & Resources Did...

  20. Forecast and Funding Arrangements - Hanford Site

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

    Annual Waste Forecast and Funding Arrangements About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford...

  1. Decreasing the temporal complexity for nonlinear, implicit reduced-order models by forecasting

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

    Carlberg, Kevin; Ray, Jaideep; van Bloemen Waanders, Bart

    2015-02-14

    Implicit numerical integration of nonlinear ODEs requires solving a system of nonlinear algebraic equations at each time step. Each of these systems is often solved by a Newton-like method, which incurs a sequence of linear-system solves. Most model-reduction techniques for nonlinear ODEs exploit knowledge of system's spatial behavior to reduce the computational complexity of each linear-system solve. However, the number of linear-system solves for the reduced-order simulation often remains roughly the same as that for the full-order simulation. We propose exploiting knowledge of the model's temporal behavior to (1) forecast the unknown variable of the reduced-order system of nonlinear equationsmore » at future time steps, and (2) use this forecast as an initial guess for the Newton-like solver during the reduced-order-model simulation. To compute the forecast, we propose using the Gappy POD technique. As a result, the goal is to generate an accurate initial guess so that the Newton solver requires many fewer iterations to converge, thereby decreasing the number of linear-system solves in the reduced-order-model simulation.« less

  2. Forecasting the Magnitude of Sustainable Biofeedstock Supplies: the Challenges and the Rewards

    SciTech Connect (OSTI)

    Graham, Robin Lambert

    2007-01-01

    Forecasting the magnitude of sustainable biofeedstock supplies is challenging because of 1) the myriad of potential feedstock types and their management 2) the need to account for the spatial variation of both the supplies and their environmental and economic consequences, and 3) the inherent challenges of optimizing across economic and environmental considerations. Over the last two decades U.S. biomass forecasts have become increasingly complex and sensitive to environmental and economic considerations. More model development and research is needed however, to capture the landscape and regional tradeoffs of differing biofeedstock supplies especially with regards water quality concerns and wildlife/biodiversity. Forecasts need to be done in the context of the direction of change and what the probable land use and attendant environmental and economic outcomes would be if biofeedstocks were not being produced. To evaluate sustainability, process-oriented models need to be coupled or used to inform sector models and more work needs to be done on developing environmental metrics that are useful for evaluating economic and environmental tradeoffs. These challenges are exciting and worthwhile as they will enable the bioenergy industry to capture environmental and social benefits of biofeedstock production and reduce risks.

  3. Decreasing the temporal complexity for nonlinear, implicit reduced-order models by forecasting

    SciTech Connect (OSTI)

    Carlberg, Kevin; Ray, Jaideep; van Bloemen Waanders, Bart

    2015-02-14

    Implicit numerical integration of nonlinear ODEs requires solving a system of nonlinear algebraic equations at each time step. Each of these systems is often solved by a Newton-like method, which incurs a sequence of linear-system solves. Most model-reduction techniques for nonlinear ODEs exploit knowledge of system's spatial behavior to reduce the computational complexity of each linear-system solve. However, the number of linear-system solves for the reduced-order simulation often remains roughly the same as that for the full-order simulation. We propose exploiting knowledge of the model's temporal behavior to (1) forecast the unknown variable of the reduced-order system of nonlinear equations at future time steps, and (2) use this forecast as an initial guess for the Newton-like solver during the reduced-order-model simulation. To compute the forecast, we propose using the Gappy POD technique. As a result, the goal is to generate an accurate initial guess so that the Newton solver requires many fewer iterations to converge, thereby decreasing the number of linear-system solves in the reduced-order-model simulation.

  4. Beamline 5.3.2.1

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

    5.3.2.1 Beamline 5.3.2.1 Print Thursday, 26 February 2015 12:20 Scanning Transmission X-Ray Microscopy (STXM) GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 600-2000eV eV Monochromator Low-dispersion, spherical-grating monochromator, two gratings Calculated flux (1.9 GeV, 500 mA) 1 x 107 photons/s at sample Resolving power (E/ΔE) ≤ 5,000 Endstations Scanning transmission x-ray microscope (STXM) Characteristics Active servo-stabilized toroidal

  5. Stockpile Stewardship Quarterly, Volume 2, Number 1

    National Nuclear Security Administration (NNSA)

    1 * May 2012 Message from the Assistant Deputy Administrator for Stockpile Stewardship, Chris Deeney Defense Programs Stockpile Stewardship in Action Volume 2, Number 1 Inside this Issue 2 LANL and ANL Complete Groundbreaking Shock Experiments at the Advanced Photon Source 3 Characterization of Activity-Size-Distribution of Nuclear Fallout 5 Modeling Mix in High-Energy-Density Plasma 6 Quality Input for Microscopic Fission Theory 8 Fiber Reinforced Composites Under Pressure: A Case Study in

  6. Operating Plan 573.1-2

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

    OPERATING PLAN 573.1-2 Title: U.S. POSTAL MAIL, SHIPPING AND RECEIVING SECURITY Owner: Cindy Mullens, ESS&H Division, Office of Institutional Operations Approving Official: Thomas Wilson, Jr., Director, Office of Institutional Operations {signature} /s/ Thomas Wilson, Jr. Approval Date: 9/20/12 Last Reviewed Date: 9/20/12 Cancellation: None TABLE OF CONTENTS 1. PURPOSE

  7. The NUHM2 after LHC Run 1

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

    Buchmueller, O.; Cavanaugh, R.; Citron, M.; De Roeck, A.; Dolan, M. J.; Ellis, J. R.; Flächer, H.; Heinemeyer, S.; Malik, S.; Marrouche, J.; et al

    2014-12-17

    We make a frequentist analysis of the parameter space of the NUHM2, in which the soft supersymmetry (SUSY)-breaking contributions to the masses of the two Higgs multiplets, m2Hu,d, vary independently from the universal soft SUSY-breaking contributions m20 to the masses of squarks and sleptons. Our analysis uses the MultiNest sampling algorithm with over 4 × 10⁸ points to sample the NUHM2 parameter space. It includes the ATLAS and CMS Higgs mass measurements as well as the ATLAS search for supersymmetric jets + /ET signals using the full LHC Run 1 data, the measurements of BR(Bs→μ⁺μ⁻) by LHCb and CMS togethermore » with other B-physics observables, electroweak precision observables and the XENON100 and LUX searches for spin-independent dark-matter scattering. We find that the preferred regions of the NUHM2 parameter space have negative SUSY-breaking scalar masses squared at the GUT scale for squarks and sleptons, m20 < 0, as well as m2Hu < m2Hd < 0. The tension present in the CMSSM and NUHM1 between the supersymmetric interpretation of (g – 2)μ and the absence to date of SUSY at the LHC is not significantly alleviated in the NUHM2. We find that the minimum χ2 = 32.5 with 21 degrees of freedom (dof) in the NUHM2, to be compared with χ2/dof = 35.0/23 in the CMSSM, and χ2/dof = 32.7/22 in the NUHM1. We find that the one-dimensional likelihood functions for sparticle masses and other observables are similar to those found previously in the CMSSM and NUHM1.« less

  8. RSE Table S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2

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

    S1.1 and S1.2. Relative Standard Errors for Tables S1.1 and S1.2;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," "," " " "," "," ",," "," ",," "," ",," ","Shipments" "SIC"," ",,"Net","Residual","Distillate",,"LPG

  9. 1 and 2-Dimensional Line Transfer Package

    Energy Science and Technology Software Center (OSTI)

    1990-07-01

    LXF1D is a one dimensional steady-state line transfer package designed to handle: overlapping and or interacting lines, planar, cylindrical, spherical (and special) geometries, doppler shifts, complete redistribution (CRD), partial redistribution (PRD). PRD requires the use of REDIST or some other package to produce emission profiles. LXF2D is a two dimensional version of LXF1D for xy and rz geometries. Both LXF1D and LXF2D are designed to be added to existing non-local thermodynamic equilibrium (NLTE) codes withmore » a minimum of effort.« less

  10. Graphs from Volume 1 Book 2

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

     We want USDOE to vitrify all Low Activity Waste (second LAW plant) -- Alternative 2B. 2  For all glass options, most of the impacts come from secondary waste. Secondary waste causes significant groundwater impacts and needs robust mitigation to get below levels of concern. Peak Groundwater Results from Various Waste Forms and Secondary Waste Glass Glass and Bulk Vit Glass and Cast Stone Glass and Steam Reforming Benchmark iodine-129 (pCi/L) 1.4 1.7 10.7 10.7 1 technetium-99 (pCi/L) 471

  11. ARM - VAP Product - 2rlprofasr1ferr

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

    rlprofasr1ferr Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1095308 [ What is this? ] Generate Citation 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 VAP Output : 2RLPROFASR1FERR 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm Active Dates 2004.10.01 - 2010.01.02 Originating VAP Process Raman LIDAR Vertical

  12. Waste Receiving and Processing Facility Module 2A: Advanced Conceptual Design Report. Volume 1

    SciTech Connect (OSTI)

    Not Available

    1994-03-01

    This ACDR was performed following completed of the Conceptual Design Report in July 1992; the work encompassed August 1992 to January 1994. Mission of the WRAP Module 2A facility is to receive, process, package, certify, and ship for permanent burial at the Hanford site disposal facilities the Category 1 and 3 contact handled low-level radioactive mixed wastes that are currently in retrievable storage at Hanford and are forecast to be generated over the next 30 years by Hanford, and waste to be shipped to Hanford from about DOE sites. This volume provides an introduction to the ACDR process and the scope of the task along with a project summary of the facility, treatment technologies, cost, and schedule. Major areas of departure from the CDR are highlighted. Descriptions of the facility layout and operations are included.

  13. DOE-2 supplement: Version 2.1E

    SciTech Connect (OSTI)

    Winkelmann, F.C.; Birdsall, B.E.; Buhl, W.F.; Ellington, K.L.; Erdem, A.E.; Hirsch, J.J.; Gates, S.

    1993-11-01

    This publication updates the DOE-2 Supplement form version 2.1D to version to 2.1E. It contains detailed discussions and instructions for using the features and enhancements introduced into the 2.1B, 2.1C, 2.1D, and 2.1E versions of the program. The building description section contains information on input functions in loads and systems, hourly report frequencies, saving files of hourly output for post processing, sharing hourly report data among program modules, the metric option, and input macros and general library features. The loads section contains information on sunspaces, sunspace modeling, window management and solar radiation, daylighting, trombe walls, fixed shades, fins and overhangs, shade schedules, self shades, heat distribution from lights, the Sherman-Grimsrud infiltrations method. terrain and height modification to wind speed, floor multipliers and interior wall types, improved exterior infrared radiation loss calculation, improved outside air film conductance calculation, window library, window frames, and switchable glazing. The systems section contains information on energy end use and meters, powered induction units, a packaged variable volume -- variable temperature system, a residential variable volume -- variable temperature system, air source heat pump enhancements, water loop heat pump enhancements, variable speed electric heat pump, gas heat pumps, hot water heaters, evaporative cooling, total gas solid-desiccant systems, add on desiccant cooling, water cooled condensers, evaporative precoolers outside air economizer control, optimum fan start, heat recovery from refrigerated case work, night ventilation, baseboard heating, moisture balance calculations, a residential natural ventilation algorithm, improved cooling coil model, system sizing and independent cooling and heating sizing ratios. The plant section contains information on energy meters, gas fired absorption chillers, engine driven compressor chillers, and ice energy storage.

  14. RSE Table N1.1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2

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

    1 and N1.2. Relative Standard Errors for Tables N1.1 and N1.2;" " Unit: Percents." " "," "," "," "," "," "," "," "," "," "," " " "," "," ",," "," ",," "," ",," ","Shipments" "NAICS"," ",,"Net","Residual","Distillate",,"LPG

  15. Data Collection and Comparison with Forecasted Unit Sales of...

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

    Data Collection and Comparison with Forecasted Unit Sales of Five Lamp Types Data Collection and Comparison with Forecasted Unit Sales of Five Lamp Types PDF icon Data Collection ...

  16. Study forecasts disappearance of conifers due to climate change

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

    Study forecasts disappearance of conifers due to climate change Study forecasts disappearance of conifers due to climate change New results, reported in a paper released today in ...

  17. The Wind Forecast Improvement Project (WFIP): A Public/Private...

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

    Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits ... Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits ...

  18. Modeling and forecasting the distribution of Vibrio vulnificus...

    Office of Scientific and Technical Information (OSTI)

    Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay Citation Details In-Document Search Title: Modeling and forecasting the distribution of Vibrio ...

  19. Improving the Accuracy of Solar Forecasting Funding Opportunity...

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

    Improving the Accuracy of Solar Forecasting Funding Opportunity Improving the Accuracy of Solar Forecasting Funding Opportunity Through the Improving the Accuracy of Solar ...

  20. Beamline 5.3.2.1

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

    5.3.2.1 Print Scanning Transmission X-Ray Microscopy (STXM) GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 600-2000eV eV Monochromator Low-dispersion, spherical-grating monochromator, two gratings Calculated flux (1.9 GeV, 500 mA) 1 x 107 photons/s at sample Resolving power (E/ΔE) ≤ 5,000 Endstations Scanning transmission x-ray microscope (STXM) Characteristics Active servo-stabilized toroidal premirror Spot size at sample (FWHM) 25-100 nm

  1. Beamline 5.3.2.1

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

    5.3.2.1 Print Scanning Transmission X-Ray Microscopy (STXM) GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 600-2000eV eV Monochromator Low-dispersion, spherical-grating monochromator, two gratings Calculated flux (1.9 GeV, 500 mA) 1 x 107 photons/s at sample Resolving power (E/ΔE) ≤ 5,000 Endstations Scanning transmission x-ray microscope (STXM) Characteristics Active servo-stabilized toroidal premirror Spot size at sample (FWHM) 25-100 nm

  2. Beamline 5.3.2.1

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

    Beamline 5.3.2.1 Print Scanning Transmission X-Ray Microscopy (STXM) GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 600-2000eV eV Monochromator Low-dispersion, spherical-grating monochromator, two gratings Calculated flux (1.9 GeV, 500 mA) 1 x 107 photons/s at sample Resolving power (E/ΔE) ≤ 5,000 Endstations Scanning transmission x-ray microscope (STXM) Characteristics Active servo-stabilized toroidal premirror Spot size at sample (FWHM) 25-100

  3. Beamline 5.3.2.1

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

    Beamline 5.3.2.1 Print Scanning Transmission X-Ray Microscopy (STXM) GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 600-2000eV eV Monochromator Low-dispersion, spherical-grating monochromator, two gratings Calculated flux (1.9 GeV, 500 mA) 1 x 107 photons/s at sample Resolving power (E/ΔE) ≤ 5,000 Endstations Scanning transmission x-ray microscope (STXM) Characteristics Active servo-stabilized toroidal premirror Spot size at sample (FWHM) 25-100

  4. Beamline 5.3.2.1

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

    5.3.2.1 Print Scanning Transmission X-Ray Microscopy (STXM) GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 600-2000eV eV Monochromator Low-dispersion, spherical-grating monochromator, two gratings Calculated flux (1.9 GeV, 500 mA) 1 x 107 photons/s at sample Resolving power (E/ΔE) ≤ 5,000 Endstations Scanning transmission x-ray microscope (STXM) Characteristics Active servo-stabilized toroidal premirror Spot size at sample (FWHM) 25-100 nm

  5. Beamline 5.3.2.1

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

    5.3.2.1 Print Scanning Transmission X-Ray Microscopy (STXM) GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 600-2000eV eV Monochromator Low-dispersion, spherical-grating monochromator, two gratings Calculated flux (1.9 GeV, 500 mA) 1 x 107 photons/s at sample Resolving power (E/ΔE) ≤ 5,000 Endstations Scanning transmission x-ray microscope (STXM) Characteristics Active servo-stabilized toroidal premirror Spot size at sample (FWHM) 25-100 nm

  6. Beamline 5.3.2.1

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

    5.3.2.1 Print Scanning Transmission X-Ray Microscopy (STXM) GENERAL BEAMLINE INFORMATION Operational Yes Source characteristics Bend magnet Energy range 600-2000eV eV Monochromator Low-dispersion, spherical-grating monochromator, two gratings Calculated flux (1.9 GeV, 500 mA) 1 x 107 photons/s at sample Resolving power (E/ΔE) ≤ 5,000 Endstations Scanning transmission x-ray microscope (STXM) Characteristics Active servo-stabilized toroidal premirror Spot size at sample (FWHM) 25-100 nm

  7. RSE Table N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2

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

    N2.1 and N2.2. Relative Standard Errors for Tables N2.1 and N2.2;" " Unit: Percents." " "," " "NAICS"," "," ","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","and Breeze","Other(e)"

  8. RSE Table S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2

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

    S2.1 and S2.2. Relative Standard Errors for Tables S2.1 and S2.2;" " Unit: Percents." " "," "," ",," "," "," "," "," "," ",," " "SIC"," "," ","Residual","Distillate",,"LPG and",,"Coke"," " "Code(a)","Major Group and Industry","Total","Fuel Oil","Fuel

  9. New Helical Foldamers: Heterogeneous Backbones with 1:2 and 2:1

    Office of Scientific and Technical Information (OSTI)

    [alpha]:[superscript beta]-Amino Acid Residue Patterns (Journal Article) | SciTech Connect New Helical Foldamers: Heterogeneous Backbones with 1:2 and 2:1 [alpha]:[superscript beta]-Amino Acid Residue Patterns Citation Details In-Document Search Title: New Helical Foldamers: Heterogeneous Backbones with 1:2 and 2:1 [alpha]:[superscript beta]-Amino Acid Residue Patterns Authors: Schmitt, Margaret A. ; Choi, SooHyuk ; Guzei, Ilia A. ; Gellman, Samuel H. [1] + Show Author Affiliations (UW)

  10. Economic Benefits, Carbon Dioxide (CO2) Emissions Reduction, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in Georgia (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-06-01

    The U.S. Department of Energy's Wind Powering America Program is committed to educating state-level policy makers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in Georgia. We forecast the cumulative economic benefits from 1000 MW of development in Georgia to be $2.1 billion, annual CO2 reductions are estimated at 3.0 million tons, and annual water savings are 1,628 million gallons.

  11. 1,2,3-triazolium ionic liquids

    DOE Patents [OSTI]

    Luebke, David; Nulwala, Hunaid; Tang, Chau

    2014-12-09

    The present invention relates to compositions of matter that are ionic liquids, the compositions comprising substituted 1,2,3-triazolium cations combined with any anion. Compositions of the invention should be useful in the separation of gases and, perhaps, as catalysts for many reactions.

  12. Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain

    Broader source: Energy.gov [DOE]

    On April 4, 2014 the U.S. Department of Energy announced a $2.5 million funding opportunity entitled “Wind Forecasting Improvement Project in Complex Terrain.” By researching the physical processes...

  13. World oil inventories forecast to grow significantly in 2016 and 2017

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

    World oil inventories forecast to grow significantly in 2016 and 2017 Global oil inventories are expected to continue strong growth over the next two years which should keep oil prices low. In its new monthly forecast, the U.S. Energy Information Administration said world oil stocks are likely to increase by 1.6 million barrels per day this year and by 600,000 barrels per day next year. The higher forecast for inventory builds are the result of both higher global oil production and less oil

  14. Induction of cytochromes P450 1A1 and 1A2 by tanshinones in human HepG2

    Office of Scientific and Technical Information (OSTI)

    hepatoma cell line (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Induction of cytochromes P450 1A1 and 1A2 by tanshinones in human HepG2 hepatoma cell line Citation Details In-Document Search Title: Induction of cytochromes P450 1A1 and 1A2 by tanshinones in human HepG2 hepatoma cell line Diterpenoid tanshinones including tanshinone IIA (TIIA), cryptotanshinone (CTS), tanshinone I (TI) and dihydrotanshinone I (DHTI) are the major bioactive components

  15. A hybrid procedure for MSW generation forecasting at multiple time scales in Xiamen City, China

    SciTech Connect (OSTI)

    Xu, Lilai; Gao, Peiqing; Cui, Shenghui; Liu, Chun

    2013-06-15

    Highlights: ► We propose a hybrid model that combines seasonal SARIMA model and grey system theory. ► The model is robust at multiple time scales with the anticipated accuracy. ► At month-scale, the SARIMA model shows good representation for monthly MSW generation. ► At medium-term time scale, grey relational analysis could yield the MSW generation. ► At long-term time scale, GM (1, 1) provides a basic scenario of MSW generation. - Abstract: Accurate forecasting of municipal solid waste (MSW) generation is crucial and fundamental for the planning, operation and optimization of any MSW management system. Comprehensive information on waste generation for month-scale, medium-term and long-term time scales is especially needed, considering the necessity of MSW management upgrade facing many developing countries. Several existing models are available but of little use in forecasting MSW generation at multiple time scales. The goal of this study is to propose a hybrid model that combines the seasonal autoregressive integrated moving average (SARIMA) model and grey system theory to forecast MSW generation at multiple time scales without needing to consider other variables such as demographics and socioeconomic factors. To demonstrate its applicability, a case study of Xiamen City, China was performed. Results show that the model is robust enough to fit and forecast seasonal and annual dynamics of MSW generation at month-scale, medium- and long-term time scales with the desired accuracy. In the month-scale, MSW generation in Xiamen City will peak at 132.2 thousand tonnes in July 2015 – 1.5 times the volume in July 2010. In the medium term, annual MSW generation will increase to 1518.1 thousand tonnes by 2015 at an average growth rate of 10%. In the long term, a large volume of MSW will be output annually and will increase to 2486.3 thousand tonnes by 2020 – 2.5 times the value for 2010. The hybrid model proposed in this paper can enable decision makers to develop integrated policies and measures for waste management over the long term.

  16. Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Ela, E.; Milligan, M.

    2011-10-01

    This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

  17. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

    Offshore Lubricants Market Forecast Home There are currently no posts in this category. Syndicate...

  18. Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

    2013-10-01

    This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

  19. Coal Fired Power Generation Market Forecast | OpenEI Community

    Open Energy Info (EERE)

    Coal Fired Power Generation Market Forecast Home There are currently no posts in this category. Syndicate...

  20. Text-Alternative Version LED Lighting Forecast

    Office of Energy Efficiency and Renewable Energy (EERE)

    The DOE report Energy Savings Forecast of Solid-State Lighting in General Illumination Applications estimates the energy savings of LED white-light sources over the analysis period of 2013 to 2030....

  1. energy data + forecasting | OpenEI Community

    Open Energy Info (EERE)

    energy data + forecasting Home FRED Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in...

  2. NREL: Resource Assessment and Forecasting - Research Staff

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

    Research Staff NREL's resource assessment and forecasting research staff provides expertise in renewable energy measurement and instrumentation through NREL's Power Systems Engineering Center. Photo not available Linda Crow - Administrative Associate B.S. Environmental Studies, The Evergreen State College Linda currently works for the Resource Assessment and Forecasting group as their administrative support. She has worked with scientists at the Office of Science at the Air Force Academy and at

  3. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in Arizona (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-10-01

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in Arizona. Although construction and operation of 1000 MW of wind power is a significant effort, six states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in Arizona to be $1.15 billion, annual CO2 reductions are estimated at 2.0 million tons, and annual water savings are 818 million gallons.

  4. Slide 1

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

    Efficiency Opportunities and Barriers Steven Nadel, Executive Director American Council for an Energy-Efficient Economy April 2010 Share of Maryland Electricity Sales That Can Be Met by Efficiency Policies - 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 2 0 0 7 2 0 0 9 2 0 1 1 2 0 1 3 2 0 1 5 2 0 1 7 2 0 1 9 2 0 2 1 2 0 2 3 2 0 2 5 Electricity Demand (GWh) CHP Building Codes RD&D Initiative Appliance Standards State and Utility Programs 15% reduction in forecasted consumption by

  5. Buildings Energy Data Book: 5.2 Windows

    Buildings Energy Data Book [EERE]

    1 Residential Prime Window Sales, by Frame Type (Million Units) (1) New Construction 1990 1995 2000 2005 2007 2009 Remodeling/Replacement 1990 1995 2000 2005 2007 2009 Total Construction 1990 1995 2000 2005 2007 2009 Note(s): Source(s): AAMA, Industry Statistical Review and Forecast 1992, 1993 for Note 2; AAMA/NWWDA, Industry Statistical Review and Forecast 1996, 1997, Table 6, p. 6 for 1990; AAMA/WDMA, 2000 AAMA/WDMA Industry Statistical Review and Forecast, Feb. 2001, p. 6 for 1995; 2003

  6. Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Florita, A.; Hodge, B. M.; Freedman, J.

    2014-05-01

    The variable and uncertain nature of wind generation presents a new concern to power system operators. One of the biggest concerns associated with integrating a large amount of wind power into the grid is the ability to handle large ramps in wind power output. Large ramps can significantly influence system economics and reliability, on which power system operators place primary emphasis. The Wind Forecasting Improvement Project (WFIP) was performed to improve wind power forecasts and determine the value of these improvements to grid operators. This paper evaluates the performance of improved short-term wind power ramp forecasting. The study is performed for the Electric Reliability Council of Texas (ERCOT) by comparing the experimental WFIP forecast to the current short-term wind power forecast (STWPF). Four types of significant wind power ramps are employed in the study; these are based on the power change magnitude, direction, and duration. The swinging door algorithm is adopted to extract ramp events from actual and forecasted wind power time series. The results show that the experimental short-term wind power forecasts improve the accuracy of the wind power ramp forecasting, especially during the summer.

  7. 1994 Solid waste forecast container volume summary

    SciTech Connect (OSTI)

    Templeton, K.J.; Clary, J.L.

    1994-09-01

    This report describes a 30-year forecast of the solid waste volumes by container type. The volumes described are low-level mixed waste (LLMW) and transuranic/transuranic mixed (TRU/TRUM) waste. These volumes and their associated container types will be generated or received at the US Department of Energy Hanford Site for storage, treatment, and disposal at Westinghouse Hanford Company`s Solid Waste Operations Complex (SWOC) during a 30-year period from FY 1994 through FY 2023. The forecast data for the 30-year period indicates that approximately 307,150 m{sup 3} of LLMW and TRU/TRUM waste will be managed by the SWOC. The main container type for this waste is 55-gallon drums, which will be used to ship 36% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of 55-gallon drums is Past Practice Remediation. This waste will be generated by the Environmental Restoration Program during remediation of Hanford`s past practice sites. Although Past Practice Remediation is the primary generator of 55-gallon drums, most waste generators are planning to ship some percentage of their waste in 55-gallon drums. Long-length equipment containers (LECs) are forecasted to contain 32% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of LECs is the Long-Length Equipment waste generator, which is responsible for retrieving contaminated long-length equipment from the tank farms. Boxes are forecasted to contain 21% of the waste. These containers are primarily forecasted for use by the Environmental Restoration Operations--D&D of Surplus Facilities waste generator. This waste generator is responsible for the solid waste generated during decontamination and decommissioning (D&D) of the facilities currently on the Surplus Facilities Program Plan. The remaining LLMW and TRU/TRUM waste volume is planned to be shipped in casks and other miscellaneous containers.

  8. Use of Data Denial Experiments to Evaluate ESA Forecast Sensitivity Patterns

    SciTech Connect (OSTI)

    Zack, J; Natenberg, E J; Knowe, G V; Manobianco, J; Waight, K; Hanley, D; Kamath, C

    2011-09-13

    The overall goal of this multi-phased research project known as WindSENSE is to develop an observation system deployment strategy that would improve wind power generation forecasts. The objective of the deployment strategy is to produce the maximum benefit for 1- to 6-hour ahead forecasts of wind speed at hub-height ({approx}80 m). In this phase of the project the focus is on the Mid-Columbia Basin region which encompasses the Bonneville Power Administration (BPA) wind generation area shown in Figure 1 that includes Klondike, Stateline, and Hopkins Ridge wind plants. The Ensemble Sensitivity Analysis (ESA) approach uses data generated by a set (ensemble) of perturbed numerical weather prediction (NWP) simulations for a sample time period to statistically diagnose the sensitivity of a specified forecast variable (metric) for a target location to parameters at other locations and prior times referred to as the initial condition (IC) or state variables. The ESA approach was tested on the large-scale atmospheric prediction problem by Ancell and Hakim 2007 and Torn and Hakim 2008. ESA was adapted and applied at the mesoscale by Zack et al. (2010a, b, and c) to the Tehachapi Pass, CA (warm and cools seasons) and Mid-Colombia Basin (warm season only) wind generation regions. In order to apply the ESA approach at the resolution needed at the mesoscale, Zack et al. (2010a, b, and c) developed the Multiple Observation Optimization Algorithm (MOOA). MOOA uses a multivariate regression on a few select IC parameters at one location to determine the incremental improvement of measuring multiple variables (representative of the IC parameters) at various locations. MOOA also determines how much information from each IC parameter contributes to the change in the metric variable at the target location. The Zack et al. studies (2010a, b, and c), demonstrated that forecast sensitivity can be characterized by well-defined, localized patterns for a number of IC variables such as 80-m wind speed and vertical temperature difference. Ideally, the data assimilation scheme used in the experiments would have been based upon an ensemble Kalman filter (EnKF) that was similar to the ESA method used to diagnose the Mid-Colombia Basin sensitivity patterns in the previous studies. However, the use of an EnKF system at high resolution is impractical because of the very high computational cost. Thus, it was decided to use the three-dimensional variational analysis data assimilation that is less computationally intensive and more economically practical for generating operational forecasts. There are two tasks in the current project effort designed to validate the ESA observational system deployment approach in order to move closer to the overall goal: (1) Perform an Observing System Experiment (OSE) using a data denial approach which is the focus of this task and report; and (2) Conduct a set of Observing System Simulation Experiments (OSSE) for the Mid-Colombia basin region. The results of this task are presented in a separate report. The objective of the OSE task involves validating the ESA-MOOA results from the previous sensitivity studies for the Mid-Columbia Basin by testing the impact of existing meteorological tower measurements on the 0- to 6-hour ahead 80-m wind forecasts at the target locations. The testing of the ESA-MOOA method used a combination of data assimilation techniques and data denial experiments to accomplish the task objective.

  9. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    11 0 -2 0 0 -1 -1 Honduras 0 0 -1 0 0 -3 -3 India 0 0 0 8 0 2 2 Italy 0 0 0 3 0 16 16 Japan 0 0 0 0 0 1 1 Korea, South 0 0 0 1 0 4 4 Latvia 0 0 0 0 1 0 1 Lithuania 0 0 0 0 0 19...

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

    SciTech Connect (OSTI)

    Vrugt, Jasper A; Wohling, Thomas

    2008-01-01

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

  11. Microsoft Word - UPDATE 2 - Unit 1.doc

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

    contribute to modeled exceedances of the National Ambient Air Quality Standards (NAAQS). ... of the National Ambient Air Quality Standards (NAAQS) for SO 2 , PM 10 , and NO 2 . ...

  12. HONEYWELL - KANSAS CITY PLANT FISCAL YEARS 2009 THRU 2015 SMALL BUSINESS PROGRAM RESULTS & FORECAST

    National Nuclear Security Administration (NNSA)

    HONEYWELL - KANSAS CITY PLANT FISCAL YEARS 2009 THRU 2015 SMALL BUSINESS PROGRAM RESULTS & FORECAST CATEGORY Total Procurement Total SB Small Disad. Bus Woman-Owned SB Hub-Zone SB Veteran-Owned SB Service Disabled Vet. SB FY 2009 Dollars Goal (projected) $183,949,920 $82,690,000 $4,550,000 $8,829,596 $3,370,000 $5,025,000 $460,000 FY 2009 Dollars Accomplished $143,846,731 $68,174,398 $9,247,214 $11,333,905 $4,979,858 $6,713,791 $1,612,136 FY 2009 % Goal 45.0% 2.5% 4.8% 1.8% 2.7% 0.25% FY

  13. CERES progress report: Phases 1 and 2

    SciTech Connect (OSTI)

    Dannevik, W.P.; Ambrosiano, J.; Kercher, J.; Penner, J.E.; Emanuel, W.

    1994-05-27

    The CERES project represents a long-term commitment of LLNL`s Global Climate Research Division to the EPA. The goal is to build an Earth System Model (ESM) with the ability in the near future to assist EPA in carrying out its responsibilities in the environmental policy and assessment arena, with particular emphasis on the terrestrial ecosystem components of the Earth system. There are two complementary aspects of the CERES development plan. The first is to provide a computational framework and modeling infrastructure for ESM development. The goal is to create an ``open architecture`` enabling submodels from different research groups studying terrestrial ecosystems to become part of a fully-coupled model of the Earth`s climate system. The second goal is to contribute fundamentally to understanding of the terrestrial component of the Earth system by developing advanced models. During this first phase of the CERES project, these two activities have been somewhat separate; the software engineering and framework building activity having been done in parallel with terrestrial model development. These two activities are merging as the framework becomes more mature, with robust software tools, and with a growing complement of tuned and benchmarked submodels and as the ecosystem models become fully incorporated into the ESM modeling framework. Two appendices contain the following papers: (1) ``Research Recommendations to the EPA in Support of Earth System Modeling Activities,`` LLNL CERES project report; and (2) ``Progress Report on Terrestrial Model Development: Research in Support of the CERES Earth System Modeling Project,`` LLNL CERES project report.

  14. Microsoft Word - Policy Flash 2011-2 Attachment 1 | Department...

    Energy Savers [EERE]

    Microsoft Word - Policy Flash 2011-2 Attachment 1 Microsoft Word - Policy Flash 2011-2 Attachment 1 Microsoft Word - Policy Flash 2011-2 Attachment 1 More Documents & Publications...

  15. RSE Table 2.1 Relative Standard Errors for Table 2.1

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

    2.1 Relative Standard Errors for Table 2.1;" " Unit: Percents." " "," " " "," " "NAICS"," "," ","Residual","Distillate","Natural ","LPG and",,"Coke"," " "Code(a)","Subsector and Industry","Total","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and

  16. FY 2015 Q1 Metrics Supporting Documentation 2015-02-09.xls

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

    FY 2015 Pre- & Post- CAP* Forecast Comment 1 Capital Asset Project Success: Complete 90% ... Includes those with waivers FY 2015 Forecast 77% Construction 83% Cleanup 56% Certified ...

  17. Microsoft Word - Table_1_2_PC_.doc

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

    Table 1-2. Photon energies, in electron volts, of principal K-, L-, and M-shell emission lines. Element K 1 K 2 K 1 L 1 L ...

  18. Table HC1.2.1. Living Space Characteristics by

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

    1. Living Space Characteristics by" " Total, Heated, and Cooled Floorspace, 2005" ,,,"Total Square Footage" ,"Housing Units",,"Total1",,"Heated",,"Cooled" "Living Space Characteristics","Millions","Percent","Billions","Percent","Billions","Percent","Billions","Percent" "Total",111.1,100,225.8,100,179.8,100,114.5,100 "Total

  19. Construction of Building 9201-1 (Alpha 1) - part 2

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

    arriving daily. The target start up date was now November 1, 1943. General Groves, in his book, Now it can be told, said, "The work on the first racetrack was well underway before...

  20. Solar Forecasting Gets a Boost from Watson, Accuracy Improved...

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

    Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% October 27, 2015 - 11:48am Addthis IBM ...

  1. PBL FY 2003 Second Quarter Review Forecast of Generation Accumulated...

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

    the rate period (i.e., FY 2002-2006), a forecast of that end-of-year Accumulated Net Revenue (ANR) will be completed. If the ANR at the end of the forecast year falls below the...

  2. Combined Heat And Power Installation Market Forecast | OpenEI...

    Open Energy Info (EERE)

    Combined Heat And Power Installation Market Forecast Home There are currently no posts in this category. Syndicate...

  3. DOE Taking Wind Forecasting to New Heights | Department of Energy

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

    Taking Wind Forecasting to New Heights DOE Taking Wind Forecasting to New Heights May 18, 2015 - 3:24pm Addthis A 2013 study conducted for the U.S. Department of Energy (DOE) by the National Oceanic and Atmospheric Administration (NOAA), AWS Truepower, and WindLogics in the Great Plains and Western Texas, demonstrated that wind power forecasts can be improved substantially using data collected from tall towers, remote sensors, and other devices, and incorporated into improved forecasting models

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

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01

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

  5. Wind power forecasting in U.S. electricity markets.

    SciTech Connect (OSTI)

    Botterud, A.; Wang, J.; Miranda, V.; Bessa, R. J.; Decision and Information Sciences; INESC Porto

    2010-04-01

    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

  6. Wind power forecasting in U.S. Electricity markets

    SciTech Connect (OSTI)

    Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

    2010-04-15

    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

  7. Uncertainty Reduction in Power Generation Forecast Using Coupled

    Office of Scientific and Technical Information (OSTI)

    Wavelet-ARIMA (Conference) | SciTech Connect Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA Citation Details In-Document Search Title: Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA In this paper, we introduce a new approach without implying normal distributions and stationarity of power generation forecast errors. In addition, it is desired to more accurately quantify the forecast uncertainty by reducing prediction intervals of

  8. Issues in midterm analysis and forecasting, 1996

    SciTech Connect (OSTI)

    1996-08-01

    This document consists of papers which cover topics in analysis and modeling that underlie the Annual Energy Outlook 1996. Topics include: The Potential Impact of Technological Progress on U.S. Energy Markets; The Outlook for U.S. Import Dependence; Fuel Economy, Vehicle Choice, and Changing Demographics, and Annual Energy Outlook Forecast Evaluation.

  9. Issues in midterm analysis and forecasting 1998

    SciTech Connect (OSTI)

    1998-07-01

    Issues in Midterm Analysis and Forecasting 1998 (Issues) presents a series of nine papers covering topics in analysis and modeling that underlie the Annual Energy Outlook 1998 (AEO98), as well as other significant issues in midterm energy markets. AEO98, DOE/EIA-0383(98), published in December 1997, presents national forecasts of energy production, demand, imports, and prices through the year 2020 for five cases -- a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The forecasts were prepared by the Energy Information Administration (EIA), using EIA`s National Energy Modeling System (NEMS). The papers included in Issues describe underlying analyses for the projections in AEO98 and the forthcoming Annual Energy Outlook 1999 and for other products of EIA`s Office of Integrated Analysis and Forecasting. Their purpose is to provide public access to analytical work done in preparation for the midterm projections and other unpublished analyses. Specific topics were chosen for their relevance to current energy issues or to highlight modeling activities in NEMS. 59 figs., 44 tabs.

  10. The Wind Forecast Improvement Project (WFIP). A Public-Private Partnership Addressing Wind Energy Forecast Needs

    SciTech Connect (OSTI)

    Wilczak, James M.; Finley, Cathy; Freedman, Jeff; Cline, Joel; Bianco, L.; Olson, J.; Djalaova, I.; Sheridan, L.; Ahlstrom, M.; Manobianco, J.; Zack, J.; Carley, J.; Benjamin, S.; Coulter, R. L.; Berg, Larry K.; Mirocha, Jeff D.; Clawson, K.; Natenberg, E.; Marquis, M.

    2015-10-30

    The Wind Forecast Improvement Project (WFIP) is a public-private research program, the goals of which are to improve the accuracy of short-term (0-6 hr) wind power forecasts for the wind energy industry and then to quantify the economic savings that accrue from more efficient integration of wind energy into the electrical grid. WFIP was sponsored by the U.S. Department of Energy (DOE), with partners that include the National Oceanic and Atmospheric Administration (NOAA), private forecasting companies (WindLogics and AWS Truepower), DOE national laboratories, grid operators, and universities. WFIP employed two avenues for improving wind power forecasts: first, through the collection of special observations to be assimilated into forecast models to improve model initial conditions; and second, by upgrading NWP forecast models and ensembles. The new observations were collected during concurrent year-long field campaigns in two high wind energy resource areas of the U.S. (the upper Great Plains, and Texas), and included 12 wind profiling radars, 12 sodars, 184 instrumented tall towers and over 400 nacelle anemometers (provided by private industry), lidar, and several surface flux stations. Results demonstrate that a substantial improvement of up to 14% relative reduction in power root mean square error (RMSE) was achieved from the combination of improved NOAA numerical weather prediction (NWP) models and assimilation of the new observations. Data denial experiments run over select periods of time demonstrate that up to a 6% relative improvement came from the new observations. The use of ensemble forecasts produced even larger forecast improvements. Based on the success of WFIP, DOE is planning follow-on field programs.

  11. Operational forecasting based on a modified Weather Research and Forecasting model

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18

    Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

  12. CESP Tool 2.1: Stakeholder Matrix | Department of Energy

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

    1: Stakeholder Matrix CESP Tool 2.1: Stakeholder Matrix Tool 2.1: Stakeholder Matrix from Step 2: Identify and Engage Stakeholders of the Guide to Community Energy Strategic Planning. File CESP Tool 2.1: Stakeholder Matrix More Documents & Publications Guide to Community Energy Strategic Planning: Step 2 Guide to Community Energy Strategic Planning CESP Tool 9.1: Monitoring Plan Template

  13. A Distributed Modeling System for Short-Term to Seasonal Ensemble Streamflow Forecasting in Snowmelt Dominated Basins

    SciTech Connect (OSTI)

    Wigmosta, Mark S.; Gill, Muhammad K.; Coleman, Andre M.; Prasad, Rajiv; Vail, Lance W.

    2007-12-01

    This paper describes a distributed modeling system for short-term to seasonal water supply forecasts with the ability to utilize remotely-sensed snow cover products and real-time streamflow measurements. Spatial variability in basin characteristics and meteorology is represented using a raster-based computational grid. Canopy interception, snow accumulation and melt, and simplified soil water movement are simulated in each computational unit. The model is run at a daily time step with surface runoff and subsurface flow aggregated at the basin scale. This approach allows the model to be updated with spatial snow cover and measured streamflow using an Ensemble Kalman-based data assimilation strategy that accounts for uncertainty in weather forecasts, model parameters, and observations used for updating. Model inflow forecasts for the Dworshak Reservoir in northern Idaho are compared to observations and to April-July volumetric forecasts issued by the Natural Resource Conservation Service (NRCS) for Water Years 2000 2006. October 1 volumetric forecasts are superior to those issued by the NRCS, while March 1 forecasts are comparable. The ensemble spread brackets the observed April-July volumetric inflows in all years. Short-term (one and three day) forecasts also show excellent agreement with observations.

  14. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    2 Building Energy Prices, by Year and Fuel Type ($2010) (cents/therm) (cents/gal) ($/gal) 1980 12.42 83.51 1.53 2.24 12.70 77.01 1.43 2.05 1981 13.14 88.83 1.47 2.51 13.33 82.90 1.63 2.32 1982 13.70 100.83 1.54 2.30 13.70 93.95 1.40 2.11 1983 13.79 113.04 1.51 2.14 13.48 104.33 1.30 1.75 1984 13.24 110.16 1.46 2.10 13.20 100.01 1.37 1.68 1985 13.28 106.80 1.37 1.96 13.06 95.96 1.21 1.56 1986 13.05 99.76 1.25 1.54 12.66 86.86 0.71 1.01 1987 12.72 92.16 1.22 1.42 11.92 79.32 0.79 1.05 1988 12.36

  15. Book2.xls?attach=1

    Office of Environmental Management (EM)

    3,4,5 on 12 hrs @ 100% load and 12 hrs at 35% load. (100% load 107 MW). SO2 0.22 lbMBtu on all three units. Run 0600 - 1800 at 100% load, and the rest at 35% load on all...

  16. Stellar Astrophysics Requirements NERSC Forecast

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

    (Copernicus Center, Warsaw). Computing cycles: DOE NERSC. 14 May 26, 2011 FLASHWDM Parallel Performance strong peak weak 15 May 26, 2011 Example 2: Core-Collapse SN...

  17. Coupling of TRAC-PF1/MOD2, Version 5.4.25, with NESTLE

    SciTech Connect (OSTI)

    Knepper, P.L.; Hochreiter, L.E.; Ivanov, K.N.; Feltus, M.A.

    1999-09-01

    A three-dimensional (3-D) spatial kinetics capability within a thermal-hydraulics system code provides a more correct description of the core physics during reactor transients that involve significant variations in the neutron flux distribution. Coupled codes provide the ability to forecast safety margins in a best-estimate manner. The behavior of a reactor core and the feedback to the plant dynamics can be accurately simulated. For each time step, coupled codes are capable of resolving system interaction effects on neutronics feedback and are capable of describing local neutronics effects caused by the thermal hydraulics and neutronics coupling. With the improvements in computational technology, modeling complex reactor behaviors with coupled thermal hydraulics and spatial kinetics is feasible. Previously, reactor analysis codes were limited to either a detailed thermal-hydraulics model with simplified kinetics or multidimensional neutron kinetics with a simplified thermal-hydraulics model. The authors discuss the coupling of the Transient Reactor Analysis Code (TRAC)-PF1/MOD2, Version 5.4.25, with the NESTLE code.

  18. H2 Safety Snapshot - Vol. 2, Issue 1, Nov. 2010 | Department of Energy

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

    1, Nov. 2010 H2 Safety Snapshot - Vol. 2, Issue 1, Nov. 2010 This second issue outlines good practices for the safe handling of gas cylinders. PDF icon h2_snapshot_v2i1.pdf More Documents & Publications Safetygram Gaseous Hydrogen H2 Safety Snapshot, Vol. 1, Issue 1, April 2009 International Hydrogen Fuel and Pressure Vessel Forum 2010 Proceedings

  19. Magnetic properties of Er1-xDyxAl2 (0 ≤ x ≤ 1) compounds...

    Office of Scientific and Technical Information (OSTI)

    Er1-xDyxAl2 (0 x 1) compounds in low applied fields Citation Details In-Document Search Title: Magnetic properties of Er1-xDyxAl2 (0 x 1) compounds in low applied ...

  20. F2PYV1.81

    Energy Science and Technology Software Center (OSTI)

    2005-03-23

    Python is a freely distributed programming language used for rapid application development. F2PY is an open source program which reads in FORTRAN 77/90/95 source code and produces a Python wrapper module for it. Functions and variables in the original FORTRAN program can be accessed from Python using this wrapper module. This new version adds support for derived types to F2PY. Derived types are very much like structs in C. They are used to group togethermore » variables that are part of one larger whole. For example, first name, last name, and id number could be part of an employee derived type.« less

  1. DOE-2 sample run book: Version 2.1E

    SciTech Connect (OSTI)

    Winkelmann, F.C.; Birdsall, B.E.; Buhl, W.F.; Ellington, K.L.; Erdem, A.E.; Hirsch, J.J.; Gates, S.

    1993-11-01

    The DOE-2 Sample Run Book shows inputs and outputs for a variety of building and system types. The samples start with a simple structure and continue to a high-rise office building, a medical building, three small office buildings, a bar/lounge, a single-family residence, a small office building with daylighting, a single family residence with an attached sunspace, a ``parameterized`` building using input macros, and a metric input/output example. All of the samples use Chicago TRY weather. The main purpose of the Sample Run Book is instructional. It shows the relationship of LOADS-SYSTEMS-PLANT-ECONOMICS inputs, displays various input styles, and illustrates many of the basic and advanced features of the program. Many of the sample runs are preceded by a sketch of the building showing its general appearance and the zoning used in the input. In some cases we also show a 3-D rendering of the building as produced by the program DrawBDL. Descriptive material has been added as comments in the input itself. We find that a number of users have loaded these samples onto their editing systems and use them as ``templates`` for creating new inputs. Another way of using them would be to store various portions as files that can be read into the input using the {number_sign}{number_sign} include command, which is part of the Input Macro feature introduced in version DOE-2.lD. Note that the energy rate structures here are the same as in the DOE-2.lD samples, but have been rewritten using the new DOE-2.lE commands and keywords for ECONOMICS. The samples contained in this report are the same as those found on the DOE-2 release files. However, the output numbers that appear here may differ slightly from those obtained from the release files. The output on the release files can be used as a check set to compare results on your computer.

  2. 1

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

    Longwave Radiation in the ECMWF Forecast System J.-J. Morcrette European Centre for Medium-Range Weather Forecasts Shinfield Park, Reading Berkshire, United Kingdom Abstract The surface downward longwave radiation (LWR) was computed by the European Centre for Medium- Range Weather Forecasts (ECMWF) forecast system used for the 40-year reanalysis. The LWR is compared with surface radiation measurements for the April to May 1999 period, available as part of the Baseline Surface Radiation Network

  3. 1

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

    forecast calls for flu January 15, 2016 The forecast calls for flu Beyond the familiar flu, infectious-and preventable-diseases such as HIV and measles kill millions around the world. Forecasting their impact would enable the public health community to take steps to spare the public the grief and economic impact of an epidemic. Yet the science of predicting infectious diseases lags far behind a similarly complex field, weather forecasting. It too is marked by huge unknowns but has steadily

  4. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    Refining Districts, 2005 East Coast Appalachian No. 1 Total IN, IL, KY MN, WI, ND, SD OK, KS, MO Total Liquefied Refinery Gases 2.5 0.9 2.4 4.2 1.2 0.9 3.1 Finished Motor...

  5. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in North Carolina (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-03-01

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in North Carolina. Although construction and operation of 1000 MW of wind power is a significant effort, seven states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in North Carolina to be $1.1 billion, annual CO2 reductions are estimated at 2.9 million tons, and annual water savings are 1,558 million gallons.

  6. CASL Plan of Record 2 (1/11-6/11)

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

    L2:AMA.P9.01 Update to Industry Test Stand Experience Using VERA Stephen M. Hess, EPRI .........1 2. Westinghouse Test Stand ......

  7. Cancellation of DOE G 440.2B-1A

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-02-15

    Cancels DOE G 440.2B-1A, Implementation Guide - Performance Indicators (Metrics) for Use with Doe O 440.2B, Aviation Management and Safety.

  8. Acquisition Guide Chapter 1.2 - Balanced Scorecard Performance...

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

    2 - Balanced Scorecard Performance Assessment Program - (March 2004) Acquisition Guide Chapter 1.2 - Balanced Scorecard Performance Assessment Program - (March 2004) This chapter ...

  9. CESP Tool 1.2: Leadership Team Charter Elements

    Broader source: Energy.gov [DOE]

    CESP Tool 1.2: Leadership Team Charter Elements in Step 1: Establish and Charge a Leadership Team in the Introduction to Community Energy Strategic Planning.

  10. High pressure-temperature polymorphism of 1,1-diamino-2,2-dinitroethylene

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

    Bishop, M. M.; Chellappa, R. S.; Liu, Z.; Preston, D. N.; Sandstrom, M. M.; Dattelbaum, D. M.; Vohra, Y. K.; Velisavljevic, N.

    2014-05-07

    Here, 1,1-diamino-2,2-dinitroethylene (FOX-7) is a low sensitivity energetic material with performance comparable to commonly used secondary explosives such as RDX and HMX. At ambient pressure, FOX-7 exhibits complex polymorphism with at least three structurally distinct phases (α, β, and γ). In this study, we have investigated the high pressure-temperature stability of FOX-7 polymorphs using synchrotron mid-infrared (MIR) spectroscopy. At ambient pressure, our MIR spectra and corresponding differential scanning calorimetry (DSC) measurements confirmed the known α → β (~110 °C) and β → γ (~160 °C) structural phase transitions; as well as, indicated an additional transition γ → δ (~210 °C),more » with the δ phase being stable up to ~251 degree C prior to decomposition. In situ MIR spectra obtained during isobaric heating at 0.9 GPa, revealed a potential α → β transition that could occur as early as 180 degree C, while β → β+δ phase transition shifted to ~300 °C with suppression of γ phase. Decomposition was observed slightly above 325 °C at 0.9 GPa..« less

  11. NMAC 1.2.2 Public Regulations Commission Rules of Procedure ...

    Open Energy Info (EERE)

    NMAC 1.2.2 Public Regulations Commission Rules of Procedure Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: NMAC 1.2.2...

  12. 2013 2nd Qtr Package

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

    FY 2013 through March 31, 2013 Agency * The end-of-year (EOY) Agency adjusted net revenue forecast for the 2 nd Quarter Review is 21 million. o This forecast is 44 million...

  13. Forecasting hotspots using predictive visual analytics approach

    DOE Patents [OSTI]

    Maciejewski, Ross; Hafen, Ryan; Rudolph, Stephen; Cleveland, William; Ebert, David

    2014-12-30

    A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

  14. Propellant Containing 3, 6bis(1h-1,2,3,4-Tetrazol-5-Ylamino)-1,2,4,5- Tetrazine Or Salt Thereof

    DOE Patents [OSTI]

    Hiskey, Michael A.; Chavez, David E.; Naud, Darren

    2003-12-02

    The compound 3,6-bis(1H-1,2,3,4-tetrazol-5-ylamino)-1,2,4,5-tetrazine and its salts are provided together with a propellant composition including an oxidizer, a binder and 3,6-bis(1H-1,2,3,4-tetrazol-5-ylamino)-1,2,4,5-tetrazine or its salts.

  15. 1,2-HOIQO--A highly versatile 1,2-HOPO analog

    SciTech Connect (OSTI)

    Seitz, Michael; Pluth, Michael D.; Raymond, Kenneth N.

    2006-08-07

    A cyclic, bidentate hydroxamic acid binding unit based on an isoquinoline scaffold has been utilized for the synthesis of a hexadentate tripodal ligand based on the TREN backbone. This prototype for a new class of multidentate chelators forms mononuclear iron(III) complexes and one-dimensional coordination polymers with lanthanide(III) cations. The latter has been determined by single crystal X-ray analysis of the cerium species. The solid state structure in the monoclinic space group P2{sub 1}/c (C{sub 36}H{sub 34}CeN{sub 7}O{sub 11}, a = 12.341(2){angstrom}, b = 26.649(4){angstrom}, c = 10.621(2){angstrom}, {alpha} = {gamma} = 90{sup o}, {beta} = 96.753(3){sup o}, V = 3468.6(9) {angstrom}{sup 3}, Z = 4) exhibits a trigonal-dodecahedral environment around the cerium cation. The proof of concept for the versatility of the new scaffold has been shown by the modification of the crucial precursor 3-carboxyiso-coumarin through electrophilic aromatic substitutions to yield the corresponding chlorosulfonated and nitrated analogs.

  16. Global disease monitoring and forecasting with Wikipedia

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

    Generous, Nicholas; Fairchild, Geoffrey; Deshpande, Alina; Del Valle, Sara Y.; Priedhorsky, Reid; Salathé, Marcel

    2014-11-13

    Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data, such as social media and search queries, are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: accessmore » logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.« less

  17. Global disease monitoring and forecasting with Wikipedia

    SciTech Connect (OSTI)

    Generous, Nicholas; Fairchild, Geoffrey; Deshpande, Alina; Del Valle, Sara Y.; Priedhorsky, Reid; Salathé, Marcel

    2014-11-13

    Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data, such as social media and search queries, are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: access logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.

  18. A survey on wind power ramp forecasting.

    SciTech Connect (OSTI)

    Ferreira, C.; Gama, J.; Matias, L.; Botterud, A.; Wang, J.

    2011-02-23

    The increasing use of wind power as a source of electricity poses new challenges with regard to both power production and load balance in the electricity grid. This new source of energy is volatile and highly variable. The only way to integrate such power into the grid is to develop reliable and accurate wind power forecasting systems. Electricity generated from wind power can be highly variable at several different timescales: sub-hourly, hourly, daily, and seasonally. Wind energy, like other electricity sources, must be scheduled. Although wind power forecasting methods are used, the ability to predict wind plant output remains relatively low for short-term operation. Because instantaneous electrical generation and consumption must remain in balance to maintain grid stability, wind power's variability can present substantial challenges when large amounts of wind power are incorporated into a grid system. A critical issue is ramp events, which are sudden and large changes (increases or decreases) in wind power. This report presents an overview of current ramp definitions and state-of-the-art approaches in ramp event forecasting.

  19. NMAC 17.1.2 Utility Applications | Open Energy Information

    Open Energy Info (EERE)

    1.2 Utility Applications Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: NMAC 17.1.2 Utility ApplicationsLegal Abstract These...

  20. Dana J. Wohlbach1 '2, Alan Kuo3, ...

    Office of Scientific and Technical Information (OSTI)

    genomics of xylose-fermenting fungi for enhanced biofuel production Dana J. Wohlbach1 '2, Alan Kuo3, Trey K. Sato2, Katlyn M. Potts1, Asaf Salamov3, Kurt M. 3 3 3 3 3 3 LaButti , ...

  1. Experimental Station 2-1 | Stanford Synchrotron Radiation Lightsource

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

    1 BL2-1 is a dedicated thin filmpowder diffraction and reflectivity station. It is equipped with a Huber 2-circle goniometer and a high-resolution crystal-analyzer detector. There...

  2. Magnetostructural phase transformations in Tb 1-x Mn 2 (Journal...

    Office of Scientific and Technical Information (OSTI)

    Magnetostructural phase transformations in Tb 1-x Mn 2 Citation Details In-Document Search Title: Magnetostructural phase transformations in Tb 1-x Mn 2 You are accessing a ...

  3. Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting: Preprint

    SciTech Connect (OSTI)

    Zhang, Jie; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Lehman, Brad; Simmons, Joseph; Campos, Edwin; Banunarayanan, Venkat

    2015-08-05

    Accurate solar power forecasting allows utilities to get the most out of the solar resources on their systems. To truly measure the improvements that any new solar forecasting methods can provide, it is important to first develop (or determine) baseline and target solar forecasting at different spatial and temporal scales. This paper aims to develop baseline and target values for solar forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output. forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output.

  4. ARM - VAP Product - aerich2nf1turn

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

    Productsaerinfaerich2nf1turn Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027273 [ What is this? ] Generate Citation 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 VAP Output : AERICH2NF1TURN AERI ch. 2

  5. Fallout forecasting: 1945-1962

    SciTech Connect (OSTI)

    Kennedy, W.R. Jr.

    1986-03-01

    The delayed hazards of fallout from the detonations of nuclear devices in the atmosphere have always been the concern of those involved in the Test Program. Even before the Trinity Shot (TR-2) of July 16, 1945, many very competent, intelligent scientists and others from all fields of expertise tried their hand at the prediction problems. This resume and collection of parts from reports, memoranda, references, etc., endeavor to chronologically outline prediction methods used operationally in the field during Test Operations of nuclear devices fired into the atmosphere.

  6. Extension of DOE M 474.1-2

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2002-02-01

    This Notice extends DOE M 474.1-2, Nuclear Materials Management and Safeguards System Reporting and Data Submission, dated 2-10-98, until 2-10-03, unless sooner rescinded.

  7. Extension of DOE M 474.1-2

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2003-02-11

    This Notice extends DOE M 474.1-2, Nuclear Materials Management and Safeguards System Reporting and Data Submission, dated 2-10-98, until 2-11-04, unless sooner rescinded.

  8. Gasoline price forecast to stay below 3 dollar a gallon in 2015

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

    Gasoline price forecast to stay below $3 a gallon in 2015 The national average pump price of gasoline is expected to stay below $3 per gallon during 2015. In its new monthly forecast, the U.S. Energy Information Administration said the retail price for regular gasoline should average $2.33 per gallon this year. The price of gasoline increased in early February after falling for 17 weeks in a row. But gasoline prices will continue to remain low in 2015 when compared with pump prices in recent

  9. Economic Benefits, Carbon Dioxide (CO2) Emissions Reductions, and Water Conservation Benefits from 1,000 Megawatts (MW) of New Wind Power in Maine (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2008-10-01

    The U.S. Department of Energy?s Wind Powering America Program is committed to educating state-level policymakers and other stakeholders about the economic, CO2 emissions, and water conservation impacts of wind power. This analysis highlights the expected impacts of 1000 MW of wind power in Maine. Although construction and operation of 1000 MW of wind power is a significant effort, six states have already reached the 1000-MW mark. We forecast the cumulative economic benefits from 1000 MW of development in Maine to be $1.3 billion, annual CO2 reductions are estimated at 2.8 million tons, and annual water savings are 1,387 million gallons.

  10. Implications of SU(2)_L x U(1) Symmetry for SIM(2) Invariant...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Implications of SU(2)L x U(1) Symmetry for SIM(2) Invariant Neutrino Masses Citation Details In-Document Search Title: Implications of SU(2)L x U(1) Symmetry for ...

  11. Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.; Florita, A.; Lu, S.; Hamann, H. F.; Banunarayanan, V.

    2013-10-01

    Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

  12. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    4,395 949 6,731 1,029 744 1,773 Non OPEC 928,991 3,672 19,941 130,776 874 9,600 10,474 Angola 81,615 10 1,979 1,923 0 0 0 Argentina 2,486 1 2,703 167 0 646 646 Aruba 0 0 0 23,145 0...

  13. Microsoft PowerPoint - ECOLOGY HAB PPT 11_03_11 v2.pptx

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

    Jane Hedges, Manager Jane Hedges, Manager Update for Hanford Advisory Board November 3, 2011 State Budget Update September 15: Report finds state budget $1.4 billion short (despite $10 billion in cuts over last 3 years). Sept./Oct.: State agencies submit proposed budget cuts of up to 15 percent. November 17: Next revenue forecast (not expected to be pretty) November 17: Next revenue forecast (not expected to be pretty). Governor to finish preparing budget plan that cuts $2 billion in state

  14. Upcoming Funding Opportunity for Wind Forecasting Improvement Project in

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

    Complex Terrain | Department of Energy for Wind Forecasting Improvement Project in Complex Terrain Upcoming Funding Opportunity for Wind Forecasting Improvement Project in Complex Terrain February 12, 2014 - 10:47am Addthis On February 11, 2014 the Wind Program announced a Notice of Intent to issue a funding opportunity entitled "Wind Forecasting Improvement Project in Complex Terrain." By researching the physical processes that take place in complex terrain, this funding would

  15. DOE Benefits Forecasts: Report of the External Peer Review Panel |

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

    Department of Energy Benefits Forecasts: Report of the External Peer Review Panel DOE Benefits Forecasts: Report of the External Peer Review Panel A report for the FY 2007 GPRA methodology review, highlighting the views of an external expert peer review panel on DOE benefits forecasts. PDF icon Report of the External Peer Review Panel More Documents & Publications Industrial Technologies Funding Profile by Subprogram Survey of Emissions Models for Distributed Combined Heat and Power

  16. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical

    Office of Scientific and Technical Information (OSTI)

    Modelling Approach (Journal Article) | SciTech Connect Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach Citation Details In-Document Search Title: Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates daily nowcasts and three-day forecasts of several environmental variables, such as sea-surface temperature and salinity, the

  17. Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory

    Office of Scientific and Technical Information (OSTI)

    (BNL) Field Campaign Report (Technical Report) | SciTech Connect SciTech Connect Search Results Technical Report: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report Citation Details In-Document Search Title: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report The Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) [http://www.arm.gov/campaigns/osc2013rwpcf]

  18. Energy Conservation Program: Data Collection and Comparison with Forecasted

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

    Unit Sales for Five Lamp Types, Notice of Data Availability | Department of Energy Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability This document is the notice of data availability for Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types. PDF icon

  19. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    Liquefied Petroleum Gases 62,852 1,440 3,251 -51,618 - -58 3,410 185 12,388 1,382 EthaneEthylene 29,950 0 0 -27,892 - -9 0 0 2,067 323 PropanePropylene 20,635 2,967 2,659...

  20. High-resolution spectroscopy of 2s1/2 - 2p3/2 transitions in...

    Office of Scientific and Technical Information (OSTI)

    The measurements yielded line positions with a precision of 1-2 eV, which test QED calculations to about 5-10%. Authors: Podpaly, Y ; Clementson, J ; Beiersdorfer, P ; Williamson, ...

  1. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

  2. 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    Title: 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory When considering the amount of shortwave radiation incident on a photovoltaic solar array and, ...

  3. Improving the Accuracy of Solar Forecasting Funding Opportunity...

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

    These projects aim to improve the accuracy of solar forecasting that could increase penetration of solar power by enabling more certainty in power prediction from solar power ...

  4. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic...

    Office of Scientific and Technical Information (OSTI)

    Title: Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates ...

  5. Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis: Preprint

    SciTech Connect (OSTI)

    Cheung, WanYin; Zhang, Jie; Florita, Anthony; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Sun, Qian; Lehman, Brad

    2015-12-08

    Uncertainties associated with solar forecasts present challenges to maintain grid reliability, especially at high solar penetrations. This study aims to quantify the errors associated with the day-ahead solar forecast parameters and the theoretical solar power output for a 51-kW solar power plant in a utility area in the state of Vermont, U.S. Forecasts were generated by three numerical weather prediction (NWP) models, including the Rapid Refresh, the High Resolution Rapid Refresh, and the North American Model, and a machine-learning ensemble model. A photovoltaic (PV) performance model was adopted to calculate theoretical solar power generation using the forecast parameters (e.g., irradiance, cell temperature, and wind speed). Errors of the power outputs were quantified using statistical moments and a suite of metrics, such as the normalized root mean squared error (NRMSE). In addition, the PV model's sensitivity to different forecast parameters was quantified and analyzed. Results showed that the ensemble model yielded forecasts in all parameters with the smallest NRMSE. The NRMSE of solar irradiance forecasts of the ensemble NWP model was reduced by 28.10% compared to the best of the three NWP models. Further, the sensitivity analysis indicated that the errors of the forecasted cell temperature attributed only approximately 0.12% to the NRMSE of the power output as opposed to 7.44% from the forecasted solar irradiance.

  6. DOE Announces Webinars on Solar Forecasting Metrics, the DOE...

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

    DOE Announces Webinars on Solar Forecasting Metrics, the DOE ... from adopting the latest energy efficiency and renewable ... to liquids technology, advantages of using natural gas, ...

  7. 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...

  8. 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...

  9. Selected papers on fuel forecasting and analysis

    SciTech Connect (OSTI)

    Gordon, R.L.; Prast, W.G.

    1983-05-01

    Of the 19 presentations at this seminar, covering coal, uranium, oil, and gas issues as well as related EPRI research projects, eleven papers are published in this volume. Nine of the papers primarily address coal-market analysis, coal transportation, and uranium supply. Two additional papers provide an evaluation and perspective on the art and use of coal-supply forecasting models and on the relationship between coal and oil prices. The authors are energy analysts and EPRI research contractors from academia, the consulting profession, and the coal industry. A separate abstract was prepared for each of the 11 papers.

  10. 1 NMAC 2.2 - Public Regulation Commission Rules of Procedure...

    Open Energy Info (EERE)

    NMAC 2.2 - Public Regulation Commission Rules of Procedure Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: 1 NMAC 2.2 -...

  11. DOE G 414.1-4 and 404.1-2B Training module

    Office of Environmental Management (EM)

    14.1-4 SAFETY SOFTWARE GUIDE FOR USE WITH 10 CFR 830, SUBPART A, QUALITY ASSURANCE REQUIREMENTS, AND DOE O 414.1C, QUALITY ASSURANCE DOE G 414.1-2B QUALITY ASSURANCE PROGRAM GUIDE DOE G 414.1-4 and DOE G 414.1-2B Familiar Level November 2011 1 DOE G 414.1-4 SAFETY SOFTWARE GUIDE FOR USE WITH 10 CFR 830, SUBPART A, QUALITY ASSURANCE REQUIREMENTS, AND DOE O 414.1C, QUALITY ASSURANCE DOE G 414.1-2B QUALITY ASSURANCE PROGRAM GUIDE FAMILIAR LEVEL OBJECTIVES Given the familiar level of this module and

  12. Amped Up! Volume 1, No.2 | Department of Energy

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

    Amped Up! Volume 1, No.2 Amped Up! Volume 1, No.2 March/April 2015 EERE's internal newsletter, Amped Up!, is a bimonthly publication that highlights news within EERE, as well as some of our external successes, lessons learned, and best practices. PDF icon Amped Up! Volume 1, No.2, March/April 2015 More Documents & Publications State of the States: Fuel Cells in America 2015 2013 Fuel Cell Technologies Market Report State of the States: Fuel Cells in America 2014

  13. EMPORA 1 + 2 EMobile Power Austria (Smart Grid Project) (Salzburg...

    Open Energy Info (EERE)

    "EU Smart Grid Projects Map" Retrieved from "http:en.openei.orgwindex.php?titleEMPORA1%2B2EMobilePowerAustria(SmartGridProject)(Salzburg,Austria)&oldid405637...

  14. EMPORA 1 + 2 EMobile Power Austria (Smart Grid Project) (Graz...

    Open Energy Info (EERE)

    "EU Smart Grid Projects Map" Retrieved from "http:en.openei.orgwindex.php?titleEMPORA1%2B2EMobilePowerAustria(SmartGridProject)(Graz,Austria)&oldid405636...

  15. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    Crude Oil 2,804 - 6,125 -1,796 66 99 7,098 2 0 Commercial 2,804 - 6,074 - 66 75 7,098 2 - Strategic Petroleum Reserve (SPR) - - 52 - - 25 - - - Imports by SPR - - 0 - - - - - -...

  16. East Tennessee Technology Park Zones 1 and 2

    Broader source: Energy.gov [DOE]

    This document explains the cleanup activities and any use limitations for the land surrounding the East Tennessee Technology Park’s Zones 1 and 2.

  17. 2 CCR State Lands Commission Article 1, General Provisions |...

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: 2 CCR State Lands Commission Article 1, General ProvisionsLegal Abstract California...

  18. Quality Assurance Exchange March 2006, Volume 2 Issue 1

    Broader source: Energy.gov [DOE]

    Quality Assurance Exchange March 2006, Volume 2 Issue 1 U.S. Department of Energy, Office of Corporate Performance Assessment Office of Quality Assurance Programs (EH-31)

  19. Spatially separated excitons in 2D and 1D

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

    separated excitons in 2D and 1D David Abergel March 10th, 2015 D.S.L. Abergel 3/10/15 1 / 24 Outline 1 Introduction 2 Spatially separated excitons in 2D - The role of disorder 3 Spatially separated excitons in 1D D.S.L. Abergel 3/10/15 2 / 24 Introduction D.S.L. Abergel 3/10/15 3 / 24 The fundamental idea Key ingredients: Independent contacts to each layer High degree of nesting of Fermi surfaces Low SP tunneling rate between layers Picture credit: Kharitonov et al., Phys. Rev. B 78 Phase

  20. RAPID/Roadmap/1 (2) | Open Energy Information

    Open Energy Info (EERE)

    RAPIDRoadmap1 (2) < RAPID | Roadmap Jump to: navigation, search RAPID Regulatory and Permitting Information Desktop Toolkit BETA About Bulk Transmission Geothermal Hydropower...

  1. EVMS Training Snippet: 2.1 Contract Performance Report (CPR)...

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

    EVMS Training Snippet: 2.1 Contract Performance Report (CPR) Integrated Program Management Report (IPMR): Purpose and Uses This EVMS Training Snippet, sponsored by the Office of ...

  2. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    8 2035 Buildings Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity Total Percent Space Heating (3) 63.4 13.0 1.6 7.7 0.8 23.1 0.2 20.6 107.2 20.9% Water Heating 23.8 2.2 1.2 3.4 35.8 63.0 12.3% Space Cooling 0.4 55.7 56.1 10.9% Lighting 47.8 47.8 9.3% Electronics (4) 27.2 27.2 5.3% Refrigeration (5) 27.0 27.0 5.3% Computers 14.8 14.8 2.9% Cooking 5.8 0.8 0.8 5.4 12.1 2.3% Wet Clean (6) 0.9 10.4 11.3 2.2%

  3. New Helical Foldamers: Heterogeneous Backbones with 1:2 and 2...

    Office of Scientific and Technical Information (OSTI)

    New Helical Foldamers: Heterogeneous Backbones with 1:2 and 2:1 alpha:superscript beta-Amino Acid Residue Patterns Citation Details In-Document Search Title: New Helical ...

  4. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    7 2025 Buildings Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity Total Percent Space Heating (3) 56.7 14.3 1.5 7.8 0.7 24.3 0.2 19.5 100.7 22.0% Space Cooling 0.3 50.5 50.9 11.1% Lighting 45.2 45.2 9.9% Water Heating 21.3 2.3 1.3 3.6 19.6 44.4 9.7% Refrigeration (4) 24.9 24.9 5.4% Electronics (5) 23.2 23.2 5.1% Computers 13.2 13.2 2.9% Wet Clean (6) 0.8 9.8 10.5 2.3% Cooking 4.8 0.8 0.8 4.9 10.5 2.3%

  5. Synthesis and crystal structure of α,β-unsaturated ketone: 3,3′-[1,2-ethanediylbis(oxy-2,1-phenylene)]bis[1-(2-pyridyl) -2-propen-1-one

    SciTech Connect (OSTI)

    Wang, G.-F. Gong, Q.-J. Sun, H.; Yao, C-Z.

    2013-12-15

    The title compound, C{sub 30}H{sub 24}N{sub 2}O{sub 4}, 3,3′-[1,2-ethanediyl-bis(oxy-2,1-phenylene)]bis[1-(2-pyridyl) -2-propen-1-one] was synthesized and characterized by elemental analysis, FT-IR spectra, {sup 1}H NMR, and X-ray single-crystal diffraction. In the molecule, the pyridine plane and the adjacent phenyl plane are almost coplanar with the dihedral angle of 3.07°, while the dihedral angle between the mean planes of the two asymmetric units is 67.56°. The crystal packing is stabilized by weak intermolecular C-H...N and C-H...O hydrogen bonds, C-H...π and π...π stacking interactions.

  6. (2,2-Bipyridyl)bis(eta5-1,2,3,4,5-pentamethylcyclopentadienyl)Strontium(II)

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect (2,2-Bipyridyl)bis(eta5-1,2,3,4,5-pentamethylcyclopentadienyl)Strontium(II) Citation Details In-Document Search Title: (2,2-Bipyridyl)bis(eta5-1,2,3,4,5-pentamethylcyclopentadienyl)Strontium(II) In the title compound, the Sr-N distances are 2.624 (3) and 2.676 (3) Angstroms. The Sr-centroid distances are 2.571 and 2.561 Angstroms. The N-C-C-N torsion angle in the bipyridine ligand is 2.2 (4){sup o}. Interestingly, the bipyridine ligand is tilted. The

  7. FMC May 2013 Appendix 1 Monthly Financial Reports Public Available

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

    expected in the 2nd quarter forecast. o The 2nd Quarter Review end-of-year (EOY) net revenue forecast is 21 million compared to the start-of-year (SOY) estimate of 51 million...

  8. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    8,039 6,932 14,971 Non OPEC 1,938,257 4,376 81,256 172,714 78,933 123,273 202,206 Angola 166,404 10 1,979 2,023 0 0 0 Argentina 20,608 1 2,831 788 0 3,353 3,353 Aruba 0 0 0...

  9. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    5 2010 Buildings Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity Total Percent Space Heating (3) 53.7 14.2 0.9 8.0 0.6 23.7 0.1 23.2 100.8 23.4% Space Cooling 0.4 61.3 61.7 14.3% Lighting 59.3 59.3 13.8% Water Heating 18.3 2.6 2.0 4.6 17.8 40.7 9.4% Refrigeration (4) 26.9 26.9 6.2% Electronics (5) 26.1 26.1 6.1% Ventilation (6) 15.9 15.9 3.7% Cooking 4.0 0.8 0.8 8.8 13.6 3.2% Computers 12.1 12.1 2.8% Wet

  10. 1,2-Hydroxypyridonates as Contrast Agents for Magnetic ResonanceImaging: TREN-1,2-HOPO

    SciTech Connect (OSTI)

    Jocher, Christoph J.; Moore, Evan G.; Xu, Jide; Avedano, Stefano; Botta, Mauro; Aime, Silvio; Raymond, Kenneth N.

    2007-05-08

    1,2-Hydroxypyridinones (1,2-HOPO) form very stable lanthanide complexes that may be useful as contrast agents for Magnetic Resonance Imaging (MRI). X-ray diffraction of single crystals established that the solid state structures of the Eu(III) and the previously reported [Inorg. Chem. 2004, 43, 5452] Gd(III) complex are identical. The recently discovered sensitizing properties of 1,2-HOPO chelates for Eu(III) luminescence allow direct measurement of the number if water molecules in the metal complex. Fluorescence measurements of the Eu(III) complex corroborate that in solution two water molecules coordinate the lanthanide (q = 2) as proposed from the analysis of NMRD profiles. In addition, fluorescence measurements have verified the anion binding interactions of lanthanide TREN-1,2-HOPO complexes in solution, studied by relaxivity, revealing only very weak oxalate binding (K{sub A} = 82.7 {+-} 6.5 M{sup -1}). Solution thermodynamic studies of the metal complex and free ligand have been carried out using potentiometry, spectrophotometry and fluorescence spectroscopy. The metal ion selectivity of TREN-1,2-HOPO supports the feasibility of using 1,2-HOPO ligands for selective lanthanide binding [pGd = 19.3 (2); pZn = 15.2 (2), pCa = 8.8 (3)].

  11. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    0 0 662 0 0 0 Ecuador 68,516 0 0 0 0 0 0 Finland 0 0 0 0 0 0 0 Germany 0 0 0 198 0 0 0 Japan 0 0 0 176 0 209 209 Korea, South 0 0 41 0 0 1,444 1,444 Malaysia 2,417 0 90 1,443 0 43...

  12. From PADD 1 to PADD 2 Movements by Pipeline

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

    Crude Oil and Petroleum Products 110,859 111,081 109,179 110,752 136,352 148,001 1985-2015 Crude Oil 0 0 1,352 1,629 2,423 1,821 1985-2015 Petroleum Products 110,859 111,081 ...

  13. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    Oxygenates 29,966 1,285 31,251 26,396 9,648 5,726 41,770 Other HydrocarbonsHydrogen 0 0 0 1,077 678 587 2,342 Oxygenates 29,966 1,285 31,251 25,319 8,970 5,139 39,428...

  14. Activation of type 2 cannabinoid receptors (CB2R) promotes fatty acid oxidation through the SIRT1/PGC-1? pathway

    SciTech Connect (OSTI)

    Zheng, Xuqin; Sun, Tao; Wang, Xiaodong

    2013-07-05

    Highlights: TC, a CB2R specific agonist, stimulates SIRT1 activity by PKA/CREB pathway. TC promotes PGC-1? transcriptional activity by increasing its deacetylation. TC increases the expression of genes linked to FAO and promotes the rate of FAO. The effects of TC in FAO are dependent on CB2R. Suggesting CB2R as a target to treat diseases with lipid dysregulation. -- Abstract: Abnormal fatty acid oxidation has been associated with obesity and type 2 diabetes. At the transcriptional level, peroxisome proliferator-activated receptor-gamma coactivator 1? (PGC-1?) has been reported to strongly increase the ability of hormone nuclear receptors PPAR? and ERR? to drive transcription of fatty acid oxidation enzymes. In this study, we report that a specific agonist of the type 2 cannabinoid receptor (CB2R) can lead to fatty acid oxidation through the PGC-1? pathway. We have found that CB2R is expressed in differentiated C2C12 myotubes, and that use of the specific agonist trans-caryophyllene (TC) stimulates sirtuin 1 (SIRT1) deacetylase activity by increasing the phosphorylation of cAMP response element-binding protein (CREB), thus leading to increased levels of PGC-1? deacetylation. This use of TC treatment increases the expression of genes linked to the fatty acid oxidation pathway in a SIRT1/PGC-1?-dependent mechanism and also drastically accelerates the rate of complete fatty acid oxidation in C2C12 myotubes, neither of which occur when CB2R mRNA is knocked down using siRNA. These results reveal that activation of CB2R by a selective agonist promotes lipid oxidation through a signaling/transcriptional pathway. Our findings imply that pharmacological manipulation of CB2R may provide therapeutic possibilities to treat metabolic diseases associated with lipid dysregulation.

  15. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  16. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership

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

    for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations | Department of Energy The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast Improvement

  17. Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres Citation Details In-Document Search Title: Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres In budding yeast, Cdc13, Stn1, and Ten1 form a heterotrimeric complex (CST) that is essential for telomere protection and maintenance. Previous bioinformatics analysis revealed a putative oligonucleotide/oligosaccharide-binding (OB) fold at the N terminus of Stn1 (Stn1N) that shows limited sequence similarity to the OB fold of

  18. Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres Citation Details In-Document Search Title: Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres In budding yeast, Cdc13, Stn1, and Ten1 form a heterotrimeric complex (CST) that is essential for telomere protection and maintenance. Previous bioinformatics analysis revealed a putative oligonucleotide/oligosaccharide-binding (OB) fold at the N terminus of Stn1 (Stn1N) that shows limited sequence similarity to the OB fold of

  19. Unconventional magnetism in ThCr2Si2-type phosphides, La1 xNdxCo2P2

    SciTech Connect (OSTI)

    Thompson, Corey; Kovnir, Kirill; Garlea, Vasile O; Choi, E.; Zhou, Haidong; Shatruk, Michael

    2014-01-01

    Quaternary phases La1 xNdxCo2P2 (x = 0, 0.12, 0.25, 0.37, 0.50, 0.63, 0.75, 0.88, 1.0) have been synthesized from Sn flux to investigate the origins of drastic differences in properties between ferromagnetic LaCo2P2 and antiferromagnetic NdCo2P2. Powder and single-crystal X-ray diffraction indicate that all La1 xNdxCo2P2 samples are isostructural and crystallize in the ThCr2Si2 structure type. The unit cell parameters and volume change non-linearly with the Nd content (x), with the x < 0.50 10 samples being closer to LaCo2P2 and the ones with x > 0.50 being closer to NdCo2P2. These structural differences are also reflected in the magnetic behavior. The samples with lower Nd content are characterized by ferromagnetic ordering in the Co sublattice with the TC increasing from 132 K for x = 0 to 262 K for x = 0.50, while the samples with higher Nd content exhibit suppressed magnetization in the Co sublattice and canted antiferromagnetic ordering with TC ~ 270 K. Refinement of neutron powder 15 diffraction patterns for x = 0.50 and 0.75 reveals a gradual ordering of the Nd 4f moments under the influence of Co 3d moments below 100 K. At low temperatures and zero field, these samples exhibit antiferromagnetic ordering of both Nd and Co magnetic moments, but under applied field they demonstrate the stabilization of a ferrimagnetic state with antiparallel alignment of the 4f and 3d moments, as indicated by isothermal magnetization measurements. The re-entrant ferrimagnetic transition 20 is also observed in samples with x > 0.50 if the temperature is lowered below 5 K. The occurrence of this low-temperature magnetic transition was confirmed by alternating-current susceptibility measurements.

  20. 3TIER Environmental Forecast Group Inc 3TIER | Open Energy Information

    Open Energy Info (EERE)

    TIER Environmental Forecast Group Inc 3TIER Jump to: navigation, search Name: 3TIER Environmental Forecast Group Inc (3TIER) Place: Seattle, Washington Zip: 98121 Sector: Renewable...

  1. Beckmann rearrangement and reduction of the E isomer of 1,5,5-trimethylbicyclo(2. 2. 1)heptan-2-one oxime

    SciTech Connect (OSTI)

    Kozlov, N.G.; Popova, L.A.

    1987-10-10

    In the Beckmann rearrangement of the E isomer of 1,5,5-trimethylbicyclo(2.2.1)-heptan-2-one (isofenchone)oxime 1,6,6-trimethyl-2-azabicyclo(3.2.1)octan-3-one was obtained as a result of stereospecific migration of the C/sup 2/ carbon atom situated in the anti position to the hydroxime hydroxyl group. Reduction of the product with lithium aluminum hydride led to 1,6,6-trimethyl-2-azabicyclo(3.2.1)-octane. Reduction of isofenchone oxime with lithium aluminum hydride in THF leads to the formation of a mixture of 1,5,5-trimethylbicyclo(2.2.1)hept-2-yl-endo-amine, the corresponding exo-amine, and 1,6,6-trimethyl-2-aza- and 1,6,6-trimethyl-3-azabicyclo(3.2.1)octanes in ratios of 45:10:5:40. The /sup 1/H and /sup 13/C NMR spectra were measured on a Bruker WM-360 spectrometer at 360 MHz for /sup 1/H and 90 MHz for /sup 13/C. The compounds were prepared for the spectra in the form of 10% solutions in deuterochloroform.

  2. Electrolux: ENERGY STAR Referral (GAH105Q2T1)

    Broader source: Energy.gov [DOE]

    DOE referred the matter of Electrolux room air conditioner model GAH105Q2T1 to the EPA for appropriate action after DOE testing showed that the model does not meet the ENERGY STAR specification.

  3. Quality Assurance Exchange September 2005, Volume 1 Issue 2

    Broader source: Energy.gov [DOE]

    Quality Assurance Exchange September 2005, Volume 1 Issue 2 U.S. Department of Energy, Off ice of Corporate Performance Assessment Off ice of Quality Assurance Programs (EH-31)

  4. Photoluminescent 1-2 nm sized silicon nanoparticles: A surface...

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

    Photoluminescent 1-2 nm sized silicon nanoparticles: A surface-dependent system Authors: Romero, J.J., Llansola-Portols, M.J., Dell'Arciprete, M.L., Rodrguez, H.B., Moore,...

  5. Categorical Exclusion Determinations: B1.2 | Department of Energy

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

    B1.2: Training exercises and simulations Training exercises and simulations (including, but not limited to, firing-range training, small-scale and short-duration force-on-force ...

  6. B. Jiang*, J.M. Zuo1 , J. Friis2 ...

    Office of Scientific and Technical Information (OSTI)

    On the consistency of QCBED structure factor measurements for TiOa (Rutile) B. Jiang*, J.M. Zuo1 , J. Friis2 and J.C.H. Spence * email: jiangb@asu.edu Department of Physics, ...

  7. eTag 1.8.2 - January 14, 2015

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

    are able to fill in some details for this project. As previously communicated, the migration to eTag spec 1.8.2 is scheduled for midnight CST on 33115. Tag submitted before...

  8. 1

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

    NPI, Inc. NPS i ENVIRONMENTAL PURCHASING IN THE NATIONAL PARK SERVICE: A HOW-TO GUIDE Table of Contents 1.0 Introduction 1-1 1.1 Context for Environmental Purchasing 1-1 1.2 Intended Audience 1-2 1.3 Objectives and Scope of Guide 1-3 2.0 Government Mandates Relating To Environmental Purchasing 2-1 2.1 Legislative Mandates 2-1 2.1.1 Resource Conservation and Recovery Act 2-1 2.1.2 Other Relevant Legislation 2-1 2.2 Executive Order Mandates 2-2 2.3 The Federal Acquisition Regulation (FAR) 2-4 2.4

  9. Thermodynamic properties and ideal-gas enthalpies of formation for butyl vinyl ether, 1,2-dimethoxyethane, methyl glycolate, bicyclo[2.2.1]hept-2-ene, 5-vinylbicyclo[2.2.1]hept-2-ene, trans-azobenzene, butyl acrylate, di-tert-butyl ether, and hexane-1,6-diol

    SciTech Connect (OSTI)

    Steele, W.V.; Chirico, R.D.; Knipmeyer, S.E.; Nguyen, A.; Smith, N.K.

    1996-11-01

    Ideal-gas enthalpies of formation of butyl vinyl ether, 1,2-dimethoxyethane, methyl glycolate, bicyclo-[2.2.1]hept-2-ene, 5-vinylbicyclo[2.2.1]hept-2-ene, trans-azobenzene, butyl acrylate, di-tert-butyl ether, and hexane-1,6-diol are reported. Enthalpies of fusion were determined for bicyclo[2.2.1]hept-2-ene and trans-azobenzene. Two-phase (solid + vapor) or (liquid + vapor) heat capacities were determined from 300 K to the critical region or earlier decomposition temperature for each compound studied. Liquid-phase densities along the saturation line were measured for bicyclo[2.2.1]hept-2-ene. For butyl vinyl ether and 1,2-dimethoxyethane, critical temperatures and critical densities were determined from the dsc results and corresponding critical pressures derived from the fitting procedures. Fitting procedures were used to derive critical temperatures, critical pressures, and critical densities for bicyclo[2.2.1]hept-2-ene, 5-vinylbicyclo[2.2.1]hept-2-ene, trans-azobenzene, butyl acrylate, and di-tert-butyl ether. Group-additivity parameters or ring-correction terms useful in the application of the Benson group-contribution correlations were derived.

  10. Implications of SU(2)_L x U(1) Symmetry for SIM(2) Invariant Neutrino

    Office of Scientific and Technical Information (OSTI)

    Masses (Journal Article) | SciTech Connect Implications of SU(2)_L x U(1) Symmetry for SIM(2) Invariant Neutrino Masses Citation Details In-Document Search Title: Implications of SU(2)_L x U(1) Symmetry for SIM(2) Invariant Neutrino Masses We consider SU(2){sub L} x U(1) gauge invariant generalizations of a nonlocal, Lorentz violating mass term for neutrinos that preserves a SIM(2) subgroup. This induces Lorentz violating effects in QED as well as tree-level lepton family number violating

  11. Induction of cytochromes P450 1A1 and 1A2 by tanshinones in human...

    Office of Scientific and Technical Information (OSTI)

    ... Resource Type: Journal Article Resource Relation: Journal Name: Toxicology and Applied Pharmacology; Journal Volume: 252; Journal Issue: 1; Other Information: DOI: 10.1016...

  12. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    6 2015 Buildings Energy End-Use Expenditure Splits, by Fuel Type ($2010 Billion) (1) Natural Gas Distil. Resid. LPG Oth(2) Total Coal Total Percent Space Heating (3) 49.5 15.9 1.3 8.1 0.7 25.9 0.2 18.7 94.3 22.7% Space Cooling 0.3 48.0 48.3 11.6% Lighting 45.9 45.9 11.0% Water Heating 17.6 2.6 1.5 4.1 18.3 40.0 9.6% Refrigeration (4) 24.9 24.9 6.0% Electronics (5) 19.8 19.8 4.7% Ventilation (6) 15.1 15.1 3.6% Computers 11.6 11.6 2.8% Wet Cleaning (7) 0.6 10.8 11.4 2.7% Cooking 3.9 0.9 0.9 4.4

  13. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    0 0 0 0 0 0 0 Israel 0 0 2 0 220 0 220 Italy 0 0 74 0 0 0 0 Jamaica 0 0 0 0 0 0 0 Japan 0 0 9 0 2 5 7 Korea, South 0 0 126 0 1 13 14 Lebanon 0 0 0 0 0 0 0 Mexico 0 0 10,916 0...

  14. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    562 0 856,883 Commercial 1,023,499 - 2,216,850 - 24,198 27,275 2,590,947 562 - 172,339 Strategic Petroleum Reserve (SPR) - - 18,889 - - 8,944 - - - 684,544 Imports by SPR - - 0...

  15. CASL Plan of Record 2 (1/11-6/11)

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

    ... the Standard k-e Low Re model(Re 31,577) and the 'AKN Low Re' model (Re 230,460) . ... 31, 577 230, 460 1, 023, 800 Reference Temperature (K) 3.0012E+02 2.9794E+02 2.9840E+02 ...

  16. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    2005 (Thousand Barrels) East Coast Appalachian No. 1 Total IN, IL, KY MN, WI, ND, SD OK, KS, MO Total Liquefied Refinery Gases 14,825 298 15,123 33,928 1,840 2,446 38,214...

  17. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    1 423 424 2,395 7 Liquefied Petroleum Gases 1,039 3,426 8,005 185 6,684 19,338 53 EthaneEthylene 0 0 0 0 0 0 0 PropanePropylene 206 544 7,332 12 5,589 13,683 37 Normal...

  18. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect (OSTI)

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-07-01

    The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

  19. Microsoft Word - AcqGuide1pt2.doc

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

    -Chapter 1.2 (January 2007) 1 Head of Contracting Acitivty (HCA) Authority, Functions, and Responsilitites [Reference: FAR 1.601] Overview This chapter provides a summary of HCA authorities based on statute, FAR, DEAR, and DOE Orders. It serves as a general guide to the authorities that may be conferred via a formal delegation of HCA authority from the Department of Energy Senior Procurement Executive. This formal delegation prescribes the specific source and scope of the HCA's authority with

  20. Particle creation in (2+1) circular dust collapse

    SciTech Connect (OSTI)

    Gutti, Sashideep; Singh, T. P.

    2007-09-15

    We investigate the quantum particle creation during the circularly symmetric collapse of a 2+1 dust cloud, for the cases when the cosmological constant is either zero or negative. We derive the Ford-Parker formula for the 2+1 case, which can be used to compute the radiated quantum flux in the geometric optics approximation. It is shown that no particles are created when the collapse ends in a naked singularity, unlike in the 3+1 case. When the collapse ends in a Banados-Teitelboim-Zanelli black hole, we recover the expected Hawking radiation.

  1. Science and Engineering of an Operational Tsunami Forecasting System

    ScienceCinema (OSTI)

    Gonzalez, Frank

    2010-01-08

    After a review of tsunami statistics and the destruction caused by tsunamis, a means of forecasting tsunamis is discussed as part of an overall program of reducing fatalities through hazard assessment, education, training, mitigation, and a tsunami warning system. The forecast is accomplished via a concept called Deep Ocean Assessment and Reporting of Tsunamis (DART). Small changes of pressure at the sea floor are measured and relayed to warning centers. Under development is an international modeling network to transfer, maintain, and improve tsunami forecast models.

  2. 3-hydroxy-2(1H)-pyridinone chelating agents

    DOE Patents [OSTI]

    Raymond, K.N.; Xu, J.

    1997-04-29

    Disclosed is a series of improved metal chelating agents, which are highly effective upon both injection and oral administration; several of the most effective are of low toxicity. These chelating agents incorporate within their structure 1-hydroxy-2-pyridinone (1,2-HOPO) and 3-hydroxy-2-pyridinone (3,2-HOPO) moieties with a substituted carbamoyl group ortho to the hydroxy or oxo groups of the hydroxypyridinone ring. The electron-withdrawing carbamoyl group increases the acidity of the hydroxypyridinones. In the metal complexes of the chelating agents, the amide protons form very strong hydrogen bonds with its adjacent HOPO oxygen donor, making these complexes very stable at physiological conditions. The terminal N-substituents provides a certain degree of lipophilicity to the 3,2-HOPO, increasing oral activity. Also disclosed is a method of making the chelating agents and a method of producing a known compound, 3-hydroxy-1-alkyl-2(1H)pyridinone, used as a precursor to the chelating agent, safely and in large quantities. 2 figs.

  3. Method for preparation of 7-hydroxy-1,2,3,4-tetrahydroquinoline from 1,2,3,4-tetrahydroquinoline

    DOE Patents [OSTI]

    Field, George; Hammond, Peter R.

    1994-01-01

    Methods for the efficient preparation of 7-hydroxy-1,2,3,4-tetrahydroquinoline include a first method in which the acylation of m-aminophenol obtains a lactam which is reduced to give the desired quinoline and a second method in which tetrahydroquinoline is nitrated and hydrogenated and then hydrolyzed to obtain the desire quinoline. 7-hydroxy-1,2,3,4-tetrahydroquinoline is used in the efficient synthesis of four lasing dyes of the rhodamine class.

  4. Method for preparation of 7-hydroxy-1,2,3,4-tetrahydroquinoline from 1,2,3,4-tetrahydroquinoline

    DOE Patents [OSTI]

    Field, G.; Hammond, P.R.

    1994-02-01

    Methods for the efficient preparation of 7-hydroxy-1,2,3,4-tetrahydroquinoline include a first method in which the acylation of m-aminophenol obtains a lactam which is reduced to give the desired quinoline and a second method in which tetrahydroquinoline is nitrated and hydrogenated and then hydrolyzed to obtain the desire quinoline. 7-hydroxy-1,2,3,4-tetrahydroquinoline is used in the efficient synthesis of four lasing dyes of the rhodamine class.

  5. Synthesis and crystal structure of a copper complex with (E)-2-(4-(1H-1,2,4-triazol-1-yl)benzylidene)-3, 4-dihydronaphthalen-1(2H)-one ligand

    SciTech Connect (OSTI)

    Sun, Shu-Wen; Zhang, Xiao; Wang, Gao-Feng

    2015-12-15

    The title compound, C{sub 35}H{sub 23}CuF{sub 6}N{sub 3}O{sub 5}S{sub 2} (1), was synthesized by the reaction of Cu(tta){sub 2} and L{sup 1}, (L{sup 1} = (E)-2-(4-(1H-1,2,4-triazol-1-yl)benzylidene)-3, 4-dihydronaphthalen-1(2H)-one) in the dichloromethane solution. It crystallizes in the monoclinic, space group P2{sub 1}/c with a = 33.8388(5), b = 9.3874(2), c = 21.8194(4) Å, β = 95.522(2), V = 6898.9(2) Å{sup 3}, Z = 8, D{sub x} = 1.554 Mg/m{sup 3}, F(000) = 3272, µ = 0.834 mm{sup –1}, R{sub 1} = 0.0639, wR{sub 2} = 0.1637. The copper(II) ion of 1 is in a distorted square-pyramidal environment with four O atoms of the two tta ligands and one N atom of triazole ligand L{sup 1}. Single-crystal X-ray diffraction data revealed that the hydrogen bonds, weak C–H···π and π···π interactions in the crystals link the coordination units to form 3D supramolecular structures.

  6. Hawaii demand-side management resource assessment. Final report, Reference Volume 2: Final residential and commercial building prototypes and DOE-2.1E developed UECs and EUIs; Part 3

    SciTech Connect (OSTI)

    1995-04-01

    This section contains the detailed measured impact results and market segment data for each DSM case examined for this building type. A complete index of all base and measure cases defined for this building type is shown first. This index represents an expansion of the base and measure matrix presented in Table 1 (residential) or Table 2 (commercial) for the applicable sector. Following this index, a summary report sheet is provided for each DSM measure case in the order shown in the index. The summary report sheet contains a host of information and selected graphs which define and depict the measure impacts and outline the market segment data assumptions utilized for each case in the DBEDT DSM Forecasting models. The variables and figures included in the summary report sheet are described. Numerous tables and figures are included.

  7. (2,2-Bipyridyl)bis(eta5-1,2,3,4,5-pentamethylcyclopentadienyl...

    Office of Scientific and Technical Information (OSTI)

    The Sr-centroid distances are 2.571 and 2.561 Angstroms. The N-C-C-N torsion angle in the ... of Publication: United States Language: English Subject: 38; ATOMS; BIPYRIDINES; TORSION

  8. Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Journal Article: Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres Citation Details In-Document Search Title: Stn1-Ten1 is an Rpa2-Rpa3-like complex at telomeres Authors: Sun, Jia ; Yu, Eun Young ; Yang, Yuting ; Confer, Laura A. ; Sun, Steven H. ; Wan, Ke ; Lue, Neal F. ; Lei, Ming [1] + Show Author Affiliations Michigan-Med Publication Date: 2015-10-15 OSTI Identifier: 1223996 Resource Type: Journal Article Resource Relation: Journal Name: Genes and Development; Journal

  9. 3-hydroxy-2(1H)-pyridinone chelating agents

    DOE Patents [OSTI]

    Raymond, Kenneth N.; Xu, Jide

    1997-01-01

    Disclosed is a series of improved metal chelating agents, which are highly effective upon both injection and oral administration; several of the most effective are of low toxicity. These chelating agents incorporate within their structure 1-hydroxy-2-pyridinone (1,2-HOPO) and 3-hydroxy-2-pyridinone (3,2-HOPO) moieties with a substituted carbamoyl group ortho to the hydroxy or oxo groups of the hydroxypyridinone ring. The electron-withdrawing carbamoyl group increases the acidity of the hydroxypyridinones. In the metal complexes of said chelating agents, the amide protons form very strong hydrogen bonds with its adjacent HOPO oxygen donor, making these complexes very stable at physiological conditions. The terminal N-substituents provides a certain degree of lipophilicity to said 3,2-HOPO, increasing oral activity. Also disclosed is a method of making the chelating agents and a method of producing a known compound, 3-hydroxy-1-alkyl-2(1H)pyridinone, used as a precursor to the chelating agent, safely and in large quantities.

  10. Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

    Broader source: Energy.gov [DOE]

    Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

  11. Solar Trackers Market Forecast | OpenEI Community

    Open Energy Info (EERE)

    Solar Trackers Market Forecast Home John55364's picture Submitted by John55364(100) Contributor 12 May, 2015 - 03:54 Solar Trackers Market - Global Industry Analysis, Size, Share,...

  12. Energy Forecasting Framework and Emissions Consensus Tool (EFFECT...

    Open Energy Info (EERE)

    Tool (EFFECT) EFFECT is an open, Excel-based modeling tool used to forecast greenhouse gas emissions from a range of development scenarios at the regional and national levels....

  13. Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels

    Reports and Publications (EIA)

    2003-01-01

    This paper presents a short-term monthly forecasting model of West Texas Intermediate crude oil spot price using Organization for Economic Cooperation and Development (OECD) petroleum inventory levels.

  14. Recently released EIA report presents international forecasting data

    SciTech Connect (OSTI)

    1995-05-01

    This report presents information from the Energy Information Administration (EIA). Articles are included on international energy forecasting data, data on the use of home appliances, gasoline prices, household energy use, and EIA information products and dissemination avenues.

  15. Value of Improved Short-Term Wind Power Forecasting

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Sharp, J.; Margulis, M.; Mcreavy, D.

    2015-02-01

    This report summarizes an assessment of improved short-term wind power forecasting in the California Independent System Operator (CAISO) market and provides a quantification of its potential value.

  16. PBL FY 2002 Second Quarter Review Forecast of Generation Accumulated...

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

    Slice true-ups, and actual expense levels. Any variation of these can change the net revenue situation. FY 2002 Forecasted Second Quarter Results 170 (418) FY 2002 Unaudited...

  17. Forecasting the oil-gasoline price relationship: should we care...

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

    (2007, EE) obtain similar results on a panel of 15 OECD countries, with annual data ... Results Point forecasts of the N.Y. gasoline price 26 Panel (a): daily data Model MSFE ...

  18. Korea Research Reactor -1 & 2 Decommissioning Project in Korea

    SciTech Connect (OSTI)

    Park, S. K.; Chung, U. S.; Jung, K. J.; Park, J. H.

    2003-02-24

    Korea Research Reactor 1 (KRR-1), the first research reactor in Korea, has been operated since 1962, and the second one, Korea Research Reactor 2 (KRR-2) since 1972. The operation of both of them was phased out in 1995 due to their lifetime and operation of the new and more powerful research reactor, HANARO (High-flux Advanced Neutron Application Reactor; 30MW). Both are TRIGA Pool type reactors in which the cores are small self-contained units sitting in tanks filled with cooling water. The KRR-1 is a TRIGA Mark II, which could operate at a level of up to 250 kW. The second one, the KRR-2 is a TRIGA Mark III, which could operate at a level of up 2,000 kW. The decontamination and decommissioning (D & D) project of these two research reactors, the first D & D project in Korea, was started in January 1997 and will be completed to stage 3 by 2008. The aim of this decommissioning program is to decommission the KRR-1 & 2 reactors and to decontaminate the residual building structure s and the site to release them as unrestricted areas. KAERI (Korea Atomic Energy Research Institute) submitted the decommissioning plan and the environmental impact assessment reports to the Ministry of Science and Technology (MOST) for the license in December 1998, and was approved in November 2000.

  19. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    3 Buildings Aggregate Energy Expenditures, by Year and Major Fuel Type ($2010 Billion) (1) Residential Buildings Commercial Buildings Total Building Electricity Natural Gas Petroleum (2) Total Electricity Natural Gas Petroleum (3) Total Expenditures 1980 89.1 40.5 28.9 158.5 70.9 20.5 17.2 108.6 267.2 1981 94.9 41.3 27.8 164.0 79.4 21.4 16.5 117.3 281.3 1982 99.9 47.9 24.5 172.3 83.4 25.1 13.7 122.2 294.5 1983 103.6 51.0 21.4 176.1 83.6 26.1 14.6 124.3 300.4 1984 103.3 51.6 23.6 178.5 87.6 25.9

  20. Modeling and forecasting the distribution of Vibrio vulnificus in

    Office of Scientific and Technical Information (OSTI)

    Chesapeake Bay (Journal Article) | SciTech Connect Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay Citation Details In-Document Search Title: Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay The aim is to construct statistical models to predict the presence, abundance and potential virulence of Vibrio vulnificus in surface waters. A variety of statistical techniques were used in concert to identify water quality parameters

  1. Forecasting neutrino masses from combining KATRIN and the CMB observations:

    Office of Scientific and Technical Information (OSTI)

    Frequentist and Bayesian analyses (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Forecasting neutrino masses from combining KATRIN and the CMB observations: Frequentist and Bayesian analyses Citation Details In-Document Search Title: Forecasting neutrino masses from combining KATRIN and the CMB observations: Frequentist and Bayesian analyses We present a showcase for deriving bounds on the neutrino masses from laboratory experiments and cosmological

  2. Expert Panel: Forecast Future Demand for Medical Isotopes | Department of

    Energy Savers [EERE]

    Energy Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes The Expert Panel has concluded that the Department of Energy and National Institutes of Health must develop the capability to produce a diverse supply of radioisotopes for medical use in quantities sufficient to support research and clinical activities. Such a capability would prevent shortages of isotopes, reduce American dependence on foreign radionuclide sources and

  3. 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National

    Office of Scientific and Technical Information (OSTI)

    Laboratory (Technical Report) | SciTech Connect 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory Citation Details In-Document Search Title: 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory When considering the amount of shortwave radiation incident on a photovoltaic solar array and, therefore, the amount and stability of the energy output from the system, clouds represent the greatest source of short-term (i.e., scale of minutes to

  4. Study forecasts disappearance of conifers due to climate change

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

    Study forecasts disappearance of conifers due to climate change Study forecasts disappearance of conifers due to climate change New results, reported in a paper released today in the journal Nature Climate Change, suggest that global models may underestimate predictions of forest death. December 21, 2015 Los Alamos scientist Nate McDowell discusses how climate change is killing trees with PBS NewsHour reporter Miles O'Brien. Los Alamos scientist Nate McDowell discusses how climate change is

  5. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    0 175 374 7,010 6,188 13,198 Non OPEC 259,980 0 17,385 23,792 78,059 104,593 182,652 Angola 53,254 0 0 100 0 0 0 Argentina 0 0 128 621 0 2,707 2,707 Aruba 0 0 0 1,163 0 0 0...

  6. SSQ V1 N2_6june11_FINAL

    National Nuclear Security Administration (NNSA)

    2 2011 Comments Questions or comments regarding the Stockpile Stewardship Quarterly should be directed to Terri.Batuyong@nnsa.doe.gov Technical Editor: Douglas Drake, Publication Editor: Millicent Mischo Inside This Issue Stockpile Stewardship Quarterly Defense Programs Stockpile Stewardship in Action Volume 1, Number 2 What do physicists and paparazzi have in common? They know that a picture is worth a thousand words! For this issue of the Stockpile Stewardship Quarterly, the theme is advances

  7. (2,2-Bipyridyl)bis(eta5-1,2,3,4,5-pentamethylcyclopentadienyl)Strontium(II)

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect (2,2-Bipyridyl)bis(eta5-1,2,3,4,5-pentamethylcyclopentadienyl)Strontium(II) Citation Details In-Document Search Title: (2,2-Bipyridyl)bis(eta5-1,2,3,4,5-pentamethylcyclopentadienyl)Strontium(II) × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional information resources

  8. Crystallization of Zr2PdxCu(1-x) and Zr2NixCu(1-x) Metallic Glass

    SciTech Connect (OSTI)

    Min Xu

    2008-08-18

    One interesting aspect of rretallic glasses is the numerous instances of the deviation of the phase selection from the amorphous state to thermodynamically stable phases during the crystallization process. Their devitrification pathways allow us to study the relationship between the original amorphous structure and their crystalline counter parts. Among the various factors of phase selections, size and electronic effects have been most extensively studied. Elucidating the phase selection process of a glassy alloy will be helpful to fill in the puzzle of the changes from disordered to ordered structures. In this thesis, Two model Zr{sub 2}Pd{sub x}Cu{sub (1-x)} and Zr{sub 2}Ni{sub x}Cu{sub (1-x)} (x = 0, 0.25, 0.5, 0.75 and 1) glassy systems were investigated since: (1) All of the samples can be made into a homogenous metallic glass; (2) The atomic radii differ from Pd to Cu is by 11%, while Ni has nearly the identical atomic size compare to Cu. Moreover, Pd and Ni differ by only one valence electron from Cu. Thus, these systems are ideal to test the idea of the effects of electronic structure and size factors; (3) The small number of components in these pseudo binary systems readily lend themselves to theoretical modeling. Using high temperature X-ray diffraction {HTXRD) and thermal analysis, topological, size, electronic, bond and chemical distribution factors on crystallization selections in Zr{sub 2}Pd{sub x}Cu{sub (1-x)} and Zr{sub 2}Ni{sub x}Cu{sub (1-x)} metallic glass have been explored. All Zr{sub 2}Pd{sub x}Cu{sub (1-x)} compositions share the same Cu11b phase with different pathways of meta-stable, icosahedral quasicrystalline phase (i-phase), and C16 phase formations. The quasicrystal phase formation is topologically related to the increasing icosahedral short range order (SRO) with Pd content in Zr{sub 2}Pd{sub x}Cu{sub (1·x)} system. Meta-stable C16 phase is competitive with C11b phase at x = 0.5, which is dominated by electronic structure rather than size effects. Cu-rich and Ni-rich compositions in Zr{sub 2}Ni{sub x}Cu{sub (1-x)} trend to divitrify to C11b or C16 phases respectively. In the proposed pseudo binary phase diagram, the domain of C16, C11b and co-existence phases are mainly related with the topology in the amorphous structure and formation enthalpies of crystalline phases.

  9. The Impact of Improved Solar Forecasts on Bulk Power System Operations in ISO-NE (Presentation), NREL (National Renewable Energy Laboratory)

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

    Improved Solar Forecasts on Bulk Power System Operations in ISO-NE 4 th Solar Integration Workshop Carlo Brancucci Martinez-Anido, Anthony Florita, and Bri-Mathias Hodge Berlin, Germany November 10, 2014 NREL/PR-5000-63082 2 Motivation and Scope * The economic benefits from renewable energy forecasting are largely unquantified in the power community o Current renewable energy penetration levels in the United States are often too low to appreciably quantify the value of improving renewable energy

  10. National Oceanic and Atmospheric Administration Provides Forecasting Support for CLASIC and CHAPS 2007

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

    NOAA Provides Forecasting Support for CLASIC and CHAPS 2007 Forecasting Challenge While weather experiments in the heart of Tornado Alley typically focus on severe weather, the CLASIC and CHAPS programs will have different emphases. Forecasters from the National Oceanic and Atmospheric Administration in Norman, Okla. will provide weather forecasting support to these two Department of Energy experiments based in the state. Forecasting support for meteorological research field programs usually

  11. Luminescent 1-hydroxy-2-pyridinone chelates of lanthanides

    DOE Patents [OSTI]

    Raymond, Kenneth N.; Xu, Jide; Moore, Evan G.; Werner, Eric J.

    2013-10-15

    The present invention provides luminescent complexes between a lanthanide ion and an organic ligand which contains 1,2-hydroxypyridinone units. The complexes of the invention are stable in aqueous solutions and are useful as molecular probes, for example in medical diagnostics and bioanalytical assay systems. The invention also provides methods of using the complexes of the invention.

  12. Operating Experience Level 1, 2, and 3 Documents

    Broader source: Energy.gov [DOE]

    Operating Experience Level 1, 2, and 3 documents communicate required actions, information on safety issues or trends of concern, and lessons learned on operating experience to the DOE Complex to prevent adverse operating incidents and to expand the sharing of good work practices.

  13. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    Petroleum Gases 96,786 38,214 39,774 8,116 - -1,564 25,650 3,426 155,378 28,105 EthaneEthylene 42,381 0 215 -20,104 - -929 0 0 23,421 2,622 PropanePropylene 36,474 39,477...

  14. Baryon Asymmetry of the Universe (1/2)

    ScienceCinema (OSTI)

    None

    2011-10-06

    In two lectures, the following topics will be discussed: (1) Why baryon asymmetry is a problem at all (2) Review of the Sakharov's conditions (3) Why old models based on GUT did not work (4) Electroweak baryogenesis (5) Leptogenesis (6) Connections to the near-future experiments

  15. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    221 0 17,018 47 Liquefied Petroleum Gases 23,191 39,774 52,534 3,251 905 119,655 328 Ethane 0 22 16 0 0 38 0 Ethylene 0 193 0 0 0 193 1 Propane 17,562 30,489 28,519 2,659 672...

  16. Tetramethyl-1-silacycloprop-2-ene: its characterization and reactions

    SciTech Connect (OSTI)

    Cornett, B.J.

    1980-05-01

    The object of this research is to fully characterize and study some of the reactions of tetramethyl-1-silacycloprop-2-ene. The final characterization of this compound was accomplished by obtaining both Si29 and 13C nuclear magnetic resonance spectra. The reactions studied included those with fluorenone, acetone, styrene, phenylacetylene, acetonitrile, t-butylcyanide, methyl isocyanate, phenyl azide, and azobenzene. Product analyses suggest that aside from addition reactions tetramethylsilacyclopropene can react either via a radical chain polymerization or an anionic chain polymerization mechanism with the latter being the more prevalent. Other reactions studied included the photolysis of tetramethylsilacyclopropene and its reactions in the presence of Pd(PPh/sub 3/)/sub 2/Cl/sub 2/. An appendix includes a study of trimethylsilyl radical disproportionation in the liquid phase to a sila olefin. Trimethylsilyl radicals in solution undergo disproportionation as well as recombination in a 1:5 ratio. The sila olefin formed by disproportionation was trapped by alcohols.

  17. Magnetostructural phase transformations in Tb 1-x Mn 2

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

    Zou, Junding; Paudyal, Durga; Liu, Jing; Mudryk, Yaroslav; Pecharsky, Vitalij K.; Gschneidner, Karl A.

    2015-01-16

    Magnetism and phase transformations in non-stoichiometric Tb1-xMn2 (x = 0.056, 0.039) have been studied as functions of temperature and magnetic field using magnetization, heat capacity, and X-ray powder diffraction measurements. Lowering the temperature, the compounds sequentially order ferrimagnetically and antiferromagnetically, and finally, exhibit spin reorientation transitions. Moreover, these structural distortions from room temperature cubic to low temperature rhombohedral structures occur at TN, and are accompanied by large volume changes reaching ~-1.27% and -1.42%, respectively. First principles electronic structure calculations confirm the phase transformation from the ferrimagnetic cubic structure to the antiferromagnetic rhombohedral structure in TbMn2.

  18. Antiferromagnetism in EuCu2As2 and EuCu1.82Sb2 single crystals

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

    Anand, V. K.; Johnston, D. C.

    2015-05-07

    Single crystals of EuCu2As2 and EuCu2Sb2 were grown from CuAs and CuSb self-flux, respectively. The crystallographic, magnetic, thermal, and electronic transport properties of the single crystals were investigated by room-temperature x-ray diffraction (XRD), magnetic susceptibility χ versus temperature T, isothermal magnetization M versus magnetic field H, specific heat Cp(T), and electrical resistivity ρ(T) measurements. EuCu2As2 crystallizes in the body-centered tetragonal ThCr2Si2-type structure (space group I4/mmm), whereas EuCu2Sb2 crystallizes in the related primitive tetragonal CaBe2Ge2-type structure (space group P4/nmm). The energy-dispersive x-ray spectroscopy and XRD data for the EuCu2Sb2 crystals showed the presence of vacancies on the Cu sites, yielding themore » actual composition EuCu1.82Sb2. The ρ(T) and Cp(T) data reveal metallic character for both EuCu2As2 and EuCu1.82Sb2. Antiferromagnetic (AFM) ordering is indicated from the χ(T),Cp(T), and ρ(T) data for both EuCu2As2 (TN = 17.5 K) and EuCu1.82Sb2 (TN = 5.1 K). In EuCu1.82Sb2, the ordered-state χ(T) and M(H) data suggest either a collinear A-type AFM ordering of Eu+2 spins S = 7/2 or a planar noncollinear AFM structure, with the ordered moments oriented in the tetragonal ab plane in either case. This ordered-moment orientation for the A-type AFM is consistent with calculations with magnetic dipole interactions. As a result, the anisotropic χ(T) and isothermal M(H) data for EuCu2As2, also containing Eu+2 spins S = 7/2, strongly deviate from the predictions of molecular field theory for collinear AFM ordering and the AFM structure appears to be both noncollinear and noncoplanar.« less

  19. V R Fanelli1'2, J M Lawrence1 '2, E A Goremychkin3, R Osborn4, E D Bauer1, K J M cClellan1, J D Thompson1, C

    Office of Scientific and Technical Information (OSTI)

    -dependence of the spin fluctuations in the intermediate valence compound CePd3 V R Fanelli1'2, J M Lawrence1 '2, E A Goremychkin3, R Osborn4, E D Bauer1, K J M cClellan1, J D Thompson1, C H Booth5, A D Christianson6 and P S Riseborough7 1 Los Alamos National Laboratory, Los Alamos, NM 87545, USA 2 University o f California, Irvine, CA 92697, USA 3 University o f Southampton, Southampton SO 17 1BJ, United Kingdom 4 Argonne National Laboratory, Argonne, IL 60439, USA 5 Lawrence Berkeley National

  20. AVLIS: a technical and economic forecast

    SciTech Connect (OSTI)

    Davis, J.I.; Spaeth, M.L.

    1986-01-01

    The AVLIS process has intrinsically large isotopic selectivity and hence high separative capacity per module. The critical components essential to achieving the high production rates represent a small fraction (approx.10%) of the total capital cost of a production facility, and the reference production designs are based on frequent replacement of these components. The specifications for replacement frequencies in a plant are conservative with respect to our expectations; it is reasonable to expect that, as the plant is operated, the specifications will be exceeded and production costs will continue to fall. Major improvements in separator production rates and laser system efficiencies (approx.power) are expected to occur as a natural evolution in component improvements. With respect to the reference design, such improvements have only marginal economic value, but given the exigencies of moving from engineering demonstration to production operations, we continue to pursue these improvements in order to offset any unforeseen cost increases. Thus, our technical and economic forecasts for the AVLIS process remain very positive. The near-term challenge is to obtain stable funding and a commitment to bring the process to full production conditions within the next five years. If the funding and commitment are not maintained, the team will disperse and the know-how will be lost before it can be translated into production operations. The motivation to preserve the option for low-cost AVLIS SWU production is integrally tied to the motivation to maintain a competitive nuclear option. The US industry can certainly survive without AVLIS, but our tradition as technology leader in the industry will certainly be lost.

  1. Ofloxacin induces apoptosis via ?1 integrin-EGFR-Rac1-Nox2 pathway in microencapsulated chondrocytes

    SciTech Connect (OSTI)

    Sheng, Zhi-Guo; Huang, Wei; Liu, Yu-Xiang; Yuan, Ye; Zhu, Ben-Zhan

    2013-02-15

    Quinolones (QNs)-induced arthropathy is an important toxic side-effect in immature animals leading to the restriction of their therapeutic use in pediatrics. Ofloxacin, a typical QN, was found to induce the chondrocytes apoptosis in the early phase (1248 h) of arthropathy in our previous study. However, the exact mechanism(s) is unclear. Microencapsulated juvenile rabbit joint chondrocytes, a three-dimensional culture system, is utilized to perform the present study. Ofloxacin, at a therapeutically relevant concentration (10 ?g/ml), disturbs the interaction between ?1 integrin and activated intracellular signaling proteins at 12 h, which is inhibited when supplementing Mg{sup 2+}. Intracellular reactive oxygen species (ROS) significantly increases in a time-dependent manner after exposure to ofloxacin for 1248 h. Furthermore, ofloxacin markedly enhances the level of activated Rac1 and epidermal growth factor receptor (EGFR) phosphorylation, and its inhibition in turn reduces the ROS production, apoptosis and Rac1 activation. Silencing Nox2, Rac1 or supplementing Mg{sup 2+} inhibits ROS accumulation, apoptosis occurrence and EGFR phosphorylation induced by ofloxacin. However, depletion of Nox2, Rac1 and inhibition of EGFR do not affect ofloxacin-mediated loss of interaction between ?1 integrin and activated intracellular signaling proteins. In addition, ofloxacin also induces Vav2 phosphorylation, which is markedly suppressed after inactivating EGFR or supplementing Mg{sup 2+}. These results suggest that ofloxacin causes Nox2-mediated intracellular ROS production by disrupting the ?1 integrin function and then activating the EGFR-Vav2-Rac1 pathway, finally resulting in apoptosis within 1248 h exposure. The present study provides a novel insight regarding the potential role of Nox-driven ROS in QNs-induced arthropathy. - Highlights: ? Ofloxacin induces Nox2-driven ROS in encapsulated chondrocyte at 1248 h. ? Ofloxacin stimulates ROS production via the ?1 integrin-EGFR-Vav2-Rac1 pathway. ? Ofloxacin induces ROS-dependent apoptosis in encapsulated chondrocyte at 1248 h.

  2. ASEAM2.1. Simplified Building Energy Analysis

    SciTech Connect (OSTI)

    Firevoid, J.A.; Willman, A.J.

    1987-10-01

    ASEAM2.1 is a modified bin temperature program for calculating the energy consumption of residential and simple commercial buildings. It can be used to evaluate the individual or combined effects of various energy design strategies. Algorithms include heating and cooling load calculations based on a methodology documented by the ASHRAE Technical Committee on Energy Calculation (TC4.7) and HVAC system and plant calculation routines with options to size heating and cooling equipment and air flows. HVAC systems are configured by selecting among the various available system types, control options, heating plants, and cooling plants. ASEAM2.1 primarily employs ASHRAE (WYEC) bin weather data; however, it is capable of alternatively using the DOD (AF88) or Battelle (TRY) bin weather data. The user can also supply as input bin weather data from other sources, if desired. Basic system types included are: a double duct or multizone unit, a terminal reheat unit, a variable air volume (VAV) system, a ceiling bypass VAV system, a variable temperature single zone system, a 2 pipe or 4 pipe fan coil system, a water/air heat pump system, and a packaged terminal air conditioner unit. In addition, ASEAM2.1 contains: baseboard heaters, a furnace system, unitary heater, and a heating and ventilation unit. Available cooling plant types are: direct expansion, centrifugal chiller, absorption chiller, district chilled water, double bundle chiller, cooling tower and reciprocating chiller. Five heating plant types are available: electric resistance, hot water or steam boiler, district steam or hot water from a central plant system, forced hot air furnace, and an air to air heat pump or double bundle chiller. Two life cycle cost programs, FBLCC and NBSLCC, developed by the National Bureau of Standards, are integrated into ASEAM2.1.

  3. 1

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

    forecasts disappearance of conifers due to climate change December 21, 2015 Predicts widespread loss in the Southwest U.S. in this century LOS ALAMOS, N.M., Dec. 21, 2015-A new...

  4. Forecasting the 2013–2014 influenza season using Wikipedia

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

    Hickmann, Kyle S.; Fairchild, Geoffrey; Priedhorsky, Reid; Generous, Nicholas; Hyman, James M.; Deshpande, Alina; Del Valle, Sara Y.; Salathé, Marcel

    2015-05-14

    Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy. According to the Centers for Disease Control and Prevention (CDC), seasonal influenza affects 5% to 20% of the U.S. population and causes major economic impacts resulting from hospitalization and absenteeism. Understanding influenza dynamics and forecasting its impact is fundamental for developing prevention and mitigation strategies. We combine modern data assimilation methods with Wikipedia access logs and CDC influenza-like illness (ILI) reports to create a weekly forecast for seasonal influenza. The methods are appliedmore » to the 2013-2014 influenza season but are sufficiently general to forecast any disease outbreak, given incidence or case count data. We adjust the initialization and parametrization of a disease model and show that this allows us to determine systematic model bias. In addition, we provide a way to determine where the model diverges from observation and evaluate forecast accuracy. Wikipedia article access logs are shown to be highly correlated with historical ILI records and allow for accurate prediction of ILI data several weeks before it becomes available. The results show that prior to the peak of the flu season, our forecasting method produced 50% and 95% credible intervals for the 2013-2014 ILI observations that contained the actual observations for most weeks in the forecast. However, since our model does not account for re-infection or multiple strains of influenza, the tail of the epidemic is not predicted well after the peak of flu season has passed.« less

  5. Forecasting the 2013–2014 influenza season using Wikipedia

    SciTech Connect (OSTI)

    Hickmann, Kyle S.; Fairchild, Geoffrey; Priedhorsky, Reid; Generous, Nicholas; Hyman, James M.; Deshpande, Alina; Del Valle, Sara Y.; Salathé, Marcel

    2015-05-14

    Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy. According to the Centers for Disease Control and Prevention (CDC), seasonal influenza affects 5% to 20% of the U.S. population and causes major economic impacts resulting from hospitalization and absenteeism. Understanding influenza dynamics and forecasting its impact is fundamental for developing prevention and mitigation strategies. We combine modern data assimilation methods with Wikipedia access logs and CDC influenza-like illness (ILI) reports to create a weekly forecast for seasonal influenza. The methods are applied to the 2013-2014 influenza season but are sufficiently general to forecast any disease outbreak, given incidence or case count data. We adjust the initialization and parametrization of a disease model and show that this allows us to determine systematic model bias. In addition, we provide a way to determine where the model diverges from observation and evaluate forecast accuracy. Wikipedia article access logs are shown to be highly correlated with historical ILI records and allow for accurate prediction of ILI data several weeks before it becomes available. The results show that prior to the peak of the flu season, our forecasting method produced 50% and 95% credible intervals for the 2013-2014 ILI observations that contained the actual observations for most weeks in the forecast. However, since our model does not account for re-infection or multiple strains of influenza, the tail of the epidemic is not predicted well after the peak of flu season has passed.

  6. trinity-aa-use-case-v1.2a

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

    trident Trident The Trident glass laser system consists of three high-energy beams that can be delivered to two independent target experimental areas. Its long-pulse capabilities have led to innovations in unique loading techniques for material dynamics research. Its short pulse capability includes very high

    Trinity Use Case Scenarios ( SAND 2 013---2941 P U nclassified, U nlimited R elease) Page 1 of 9 Trinity / N ERSC---8 U se C ase S cenarios April 5 , 2 013 This d ocument p rovides a

  7. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    4 FY 2007 Federal Buildings Energy Prices and Expenditures, by Fuel Type ($2010) Fuel Type Electricity (1) Natural Gas Fuel Oil Coal Purchased Steam LPG/Propane Other Average Total Note(s): Source(s): 17.05 6028.63 Prices and expenditures are for Goal-Subject buildings. 1) $0.0776/kWh. 2) Energy used in Goal-Subject buildings in FY 2007 accounted for 33.8% of the total Federal energy bill. DOE/FEMP, Annual Report to Congress on FEMP FY 2007, Jan. 2010, Table A-4, p. 93 for prices and

  8. CASL Plan of Record 2 (1/11-6/11)

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

    8-2014-0231-001 VERA Problem 10: Restart and Shuffling in MPACT Revision 1 February 26, 2015 Brendan Kochunas Daniel Jabaay Thomas Downar CASL-U-2014-0231-001 L3: RTM.PRT.P9.04 - VERA Problem 10: Restart and Shuffling in MPACT Consortium for Advanced Simulation of LWRs ii REVISION LOG Revision Date Affected Pages Revision Description 0 12/4/2014 All Initial version 1 2/27/2015 All Fixed typos from copy-paste in Appendix A, added section 3.3, updated results in Section 5. Additions to Section

  9. 1

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

    National Centers for Environmental Prediction Global Forecast System at the Atmospheric Radiation Measurement Program Southern Great Plains Site F. Yang, H-L. Pan, S. Moorthi, and S. Lord Environmental Modeling Center, National Centers for Environmental Prediction Camp Springs, Maryland S. Krueger Department of Meteorology University of Utah Salt Lake City, Utah Abstract Since 2001 output from the National Centers for Environmental Prediction global weather forecast system (GFS) has been

  10. Demand forecasting and revenue requirements, with implications for consideration in British Columbia

    SciTech Connect (OSTI)

    Acton, J.P.

    1983-05-01

    This paper was filed as an exhibit on behalf of The Consumers' Association of Canada (B.C. Branch), The Federated Anti-Poverty Groups of B.C., The Sierra Club of Western Canada, and the B.C. Old Age Pensioners' Organization. It was subjected to cross-examination on October 29, 1982, during Phase I of the hearings. The Utilities Commission had designated Phase I for consideration of (1) demand, (2) assets in service, (3) revenue requirements excluding return, and (4) financing and capital requirements. This paper presents a general discussion of the elements of a rate structure and their relationship to the demand for electricity, a systematic review of some 50 empirical studies of the demand for electricity as a function of price and other factors by the three principal classes of customers, and a discussion of the notion of revenue requirements. The paper should be of interest to utility regulators, rate specialists, and forecasters for its review of demand models and to academics concerned with the study of energy demand.

  11. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2009-01-28

    On December 17, 2008, the reference-case projections from Annual Energy Outlook 2009 (AEO 2009) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in mitigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. Note that this memo pertains only to natural gas fuel price risk (i.e., the risk that natural gas prices might differ over the life of a gas-fired generation asset from what was expected when the decision to build the gas-fired unit was made). We do not take into consideration any of the other distinct attributes of gas-fired and renewable generation, such as dispatchability (or lack thereof), differences in capital costs and O&M expenses, or environmental externalities. A comprehensive comparison of different resource types--which is well beyond the scope of this memo--would need to account for differences in all such attributes, including fuel price risk. Furthermore, our analysis focuses solely on natural-gas-fired generation (as opposed to coal-fired or nuclear generation, for example), for several reasons: (1) price volatility has been more of a concern for natural gas than for other fuels used to generate power; (2) for environmental and other reasons, natural gas has, in recent years, been the fuel of choice among power plant developers; and (3) natural gas-fired generators often set the market clearing price in competitive wholesale power markets throughout the United States. That said, a more-complete analysis of how renewables mitigate fuel price risk would also need to consider coal, uranium, and other fuel prices. Finally, we caution readers about drawing inferences or conclusions based solely on this memo in isolation: to place the information contained herein within its proper context, we strongly encourage readers interested in this issue to read through our previous, more-detailed studies, available at http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf.

  12. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    SciTech Connect (OSTI)

    Bolinger, Mark A; Bolinger, Mark; Wiser, Ryan

    2008-01-07

    On December 12, 2007, the reference-case projections from Annual Energy Outlook 2008 (AEO 2008) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in mitigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. Note that this memo pertains only to natural gas fuel price risk (i.e., the risk that natural gas prices might differ over the life of a gas-fired generation asset from what was expected when the decision to build the gas-fired unit was made). We do not take into consideration any of the other distinct attributes of gas-fired and renewable generation, such as dispatchability (or lack thereof) or environmental externalities. A comprehensive comparison of different resource types--which is well beyond the scope of this memo--would need to account for differences in all such attributes, including fuel price risk. Furthermore, our analysis focuses solely on natural-gas-fired generation (as opposed to coal-fired generation, for example), for several reasons: (1) price volatility has been more of a concern for natural gas than for other fuels used to generate power; (2) for environmental and other reasons, natural gas has, in recent years, been the fuel of choice among power plant developers (though its appeal has diminished somewhat as prices have increased); and (3) natural gas-fired generators often set the market clearing price in competitive wholesale power markets throughout the United States. That said, a more-complete analysis of how renewables mitigate fuel price risk would also need to consider coal and other fuel prices. Finally, we caution readers about drawing inferences or conclusions based solely on this memo in isolation: to place the information contained herein within its proper context, we strongly encourage readers interested in this issue to read through our previous, more-detailed studies, available at http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf.

  13. Integrated thermal treatment system study -- Phase 2 results. Revision 1

    SciTech Connect (OSTI)

    Feizollahi, F.; Quapp, W.J.

    1996-02-01

    This report presents the second phase of a study on thermal treatment technologies. The study consists of a systematic assessment of nineteen thermal treatment alternatives for the contact-handled mixed low-level waste (MLLW) currently stored in the US Department of Energy complex. The treatment alternatives consist of widely varying technologies for safely destroying the hazardous organic components, reducing the volume, and preparing for final disposal of the MLLW. The alternatives considered in Phase 2 were innovative thermal treatments with nine types of primary processing units. Other variations in the study examined the effect of combustion gas, air pollution control system design, and stabilization technology for the treatment residues. The Phase 1 study examined ten initial thermal treatment alternatives. The Phase 2 systems were evaluated in essentially the same manner as the Phase 1 systems. The alternatives evaluated were: rotary kiln, slagging kiln, plasma furnace, plasma gasification, molten salt oxidation, molten metal waste destruction, steam gasification, Joule-heated vitrification, thermal desorption and mediated electrochemical oxidation, and thermal desorption and supercritical water oxidation. The quantities, and physical and chemical compositions, of the input waste used in the Phase 2 systems differ from those in the Phase 1 systems, which were based on a preliminary waste input database developed at the onset of the Integrated Thermal Treatment System study. The inventory database used in the Phase 2 study incorporates the latest US Department of Energy information. All systems, both primary treatment systems and subsystem inputs, have now been evaluated using the same waste input (2,927 lb/hr). 28 refs., 88 figs., 41 tabs.

  14. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19

    On December 12, 2005, the reference case projections from ''Annual Energy Outlook 2006'' (AEO 2006) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past five years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past five years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2006. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past five AEO releases (AEO 2001-AEO 2005), we once again find that the AEO 2006 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEX-AEO 2006 reference case comparison yields by far the largest premium--$2.3/MMBtu levelized over five years--that we have seen over the last six years. In other words, on average, one would have had to pay $2.3/MMBtu more than the AEO 2006 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  15. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13

    On December 9, the reference case projections from ''Annual Energy Outlook 2005 (AEO 2005)'' were posted on the Energy Information Administration's (EIA) web site. As some of you may be aware, we at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk. As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past four years, forward natural gas contracts (e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past four years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation (presuming that long-term price stability is valued). In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2005. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or, more recently (and briefly), http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past four AEO releases (AEO 2001-AE0 2004), we once again find that the AEO 2005 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEXAEO 2005 reference case comparison yields by far the largest premium--$1.11/MMBtu levelized over six years--that we have seen over the last five years. In other words, on average, one would have to pay $1.11/MMBtu more than the AEO 2005 reference case natural gas price forecast in order to lock in natural gas prices over the coming six years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation. Fixed-price renewables obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of six years.

  16. Thermally stable compositions including 2,4,8,10-tetranitro-5H-pyrido[3',2':4,5][1,2,3]triazolo[1,2-a]benzotriazo- l-6-ium, inner salt

    DOE Patents [OSTI]

    Hiskey, Michael A.; Huynh, My Hang

    2010-01-26

    An explosive formulation including 2,4,8,10-tetranitro-5H-pyrido[3',2':4,5][1,2,3]triazolo[1,2-a]benzotriazo- l-6-ium, inner salt and a high temperature binder is disclosed together with a process of preparing 2,4,8,10-tetranitro-5H-pyrido[3',2':4,5][1,2,3]triazolo[1,2-a]benzotriazo- l-6-ium, inner salt.

  17. Microsoft Word - 2Q15 Web Rev1 11-2-15

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

    5 SRR-ESH-2015-00076 Revision 1 Post Date: November 30, 2015 Page 1 of 6 Z-Area Saltstone Disposal Facility Permit General Condition B.5.a-h Information and Consent Order of Dismissal, Section III.7 Permit Condition Requirement Estimated Value Updated Value Comments B.5 a) Cumulative process volume of salt waste disposed to date Not Applicable 10,172 kgal Vault 4, Cells B, D, E, F, H, J, K, L SDU 2, Cells 2A and 2B SDU 5, Cell 5B b) Process volume of saltstone grout disposed and vault/disposal

  18. Epitaxial growth of (1 1 1)-oriented spinel CoCr{sub 2}O{sub 4}/Al{sub 2}O{sub 3} heterostructures

    SciTech Connect (OSTI)

    Liu, Xiaoran Choudhury, D.; Cao, Yanwei; Middey, S.; Kareev, M.; Meyers, D.; Chakhalian, J.; Kim, J.-W.; Ryan, P.

    2015-02-16

    High quality (1 1 1)-oriented CoCr{sub 2}O{sub 4}/Al{sub 2}O{sub 3} heterostructures were synthesized on the sapphire (0 0 0 1) single crystal substrates by pulsed laser deposition. The structural properties are demonstrated by in-situ reflection high energy electron diffraction, atomic force microscopy, X-ray reflectivity, and X-ray diffraction. X-ray photoemission spectroscopy confirms that the films possess the proper chemical stoichiometry. This work offers a pathway to fabricating spinel type artificial quasi-two-dimensional frustrated lattices by means of geometrical engineering.

  19. Criticality safety review of 2 1/2 -, 10-, and 14-ton UF sub 6 cylinders

    SciTech Connect (OSTI)

    Broadhead, B.L.

    1991-01-01

    The US regulations governing the packaging and transportation of UF{sub 6} cylinders are contained in the publication 10CFR71. Under the current 10CFR71 regulations, packages are classified according to Fissile Class I, II, or III and a corresponding transport index (TI). UF{sub 6} cylinders designed to contain 2{1/2}-tons of UF{sub 6} are classified as Fissile Class II packages with a TI of 5 for the purpose of transportation. The 10-ton UF{sub 6} cylinders are classified as Fissile Class I with no TI assigned for transportation. The 14-ton cylinders are not certified for transport with enrichments greater than 1 wt % since they have no approved overpack. This work reviews the suitability of 2{1/2}-ton UF{sub 6} packages for reclassification as Fissile Class I with a maximum {sup 235}U enrichment of 5 wt %. Additionally, the 10- and 14-ton cylinders are reviewed to address a change in maximum {sup 235}U enrichment from 4.5 to 5 wt %. Based on this evaluation, the 2{1/2}-ton UF{sub 6} cylinders meet the 10CFR71 criteria for Fissile Class I packages, and no TI is needed for criticality safety purposes. Similarly, the 10- and 14-ton UF{sub 6} packages appear suitable for a maximum enrichment rating change to 5 wt % {sup 235}U. 6 refs., 4 figs., 1 tab.

  20. National forecast for geothermal resource exploration and development with techniques for policy analysis and resource assessment

    SciTech Connect (OSTI)

    Cassel, T.A.V.; Shimamoto, G.T.; Amundsen, C.B.; Blair, P.D.; Finan, W.F.; Smith, M.R.; Edeistein, R.H.

    1982-03-31

    The backgrund, structure and use of modern forecasting methods for estimating the future development of geothermal energy in the United States are documented. The forecasting instrument may be divided into two sequential submodels. The first predicts the timing and quality of future geothermal resource discoveries from an underlying resource base. This resource base represents an expansion of the widely-publicized USGS Circular 790. The second submodel forecasts the rate and extent of utilization of geothermal resource discoveries. It is based on the joint investment behavior of resource developers and potential users as statistically determined from extensive industry interviews. It is concluded that geothermal resource development, especially for electric power development, will play an increasingly significant role in meeting US energy demands over the next 2 decades. Depending on the extent of R and D achievements in related areas of geosciences and technology, expected geothermal power development will reach between 7700 and 17300 Mwe by the year 2000. This represents between 8 and 18% of the expected electric energy demand (GWh) in western and northwestern states.

  1. Turbulence-driven coronal heating and improvements to empirical forecasting of the solar wind

    SciTech Connect (OSTI)

    Woolsey, Lauren N.; Cranmer, Steven R.

    2014-06-01

    Forecasting models of the solar wind often rely on simple parameterizations of the magnetic field that ignore the effects of the full magnetic field geometry. In this paper, we present the results of two solar wind prediction models that consider the full magnetic field profile and include the effects of Alfvn waves on coronal heating and wind acceleration. The one-dimensional magnetohydrodynamic code ZEPHYR self-consistently finds solar wind solutions without the need for empirical heating functions. Another one-dimensional code, introduced in this paper (The Efficient Modified-Parker-Equation-Solving Tool, TEMPEST), can act as a smaller, stand-alone code for use in forecasting pipelines. TEMPEST is written in Python and will become a publicly available library of functions that is easy to adapt and expand. We discuss important relations between the magnetic field profile and properties of the solar wind that can be used to independently validate prediction models. ZEPHYR provides the foundation and calibration for TEMPEST, and ultimately we will use these models to predict observations and explain space weather created by the bulk solar wind. We are able to reproduce with both models the general anticorrelation seen in comparisons of observed wind speed at 1 AU and the flux tube expansion factor. There is significantly less spread than comparing the results of the two models than between ZEPHYR and a traditional flux tube expansion relation. We suggest that the new code, TEMPEST, will become a valuable tool in the forecasting of space weather.

  2. HTR-PROTEUS Pebble Bed Experimental Program Cores 1, 1A, 2, and 3: Hexagonal Close Packing with a 1:2 Moderator-to-Fuel Pebble Ratio

    SciTech Connect (OSTI)

    John D. Bess; Barbara H. Dolphin; James W. Sterbentz; Luka Snoj; Igor Lengar; Oliver Köberl

    2013-03-01

    In its deployment as a pebble bed reactor (PBR) critical facility from 1992 to 1996, the PROTEUS facility was designated as HTR-PROTEUS. This experimental program was performed as part of an International Atomic Energy Agency (IAEA) Coordinated Research Project (CRP) on the Validation of Safety Related Physics Calculations for Low Enriched HTGRs. Within this project, critical experiments were conducted for graphite moderated LEU systems to determine core reactivity, flux and power profiles, reaction-rate ratios, the worth of control rods, both in-core and reflector based, the worth of burnable poisons, kinetic parameters, and the effects of moisture ingress on these parameters. Four benchmark experiments were evaluated in this report: Cores 1, 1A, 2, and 3. These core configurations represent the hexagonal close packing (HCP) configurations of the HTR-PROTEUS experiment with a moderator-to-fuel pebble ratio of 1:2. Core 1 represents the only configuration utilizing ZEBRA control rods. Cores 1A, 2, and 3 use withdrawable, hollow, stainless steel control rods. Cores 1 and 1A are similar except for the use of different control rods; Core 1A also has one less layer of pebbles (21 layers instead of 22). Core 2 retains the first 16 layers of pebbles from Cores 1 and 1A and has 16 layers of moderator pebbles stacked above the fueled layers. Core 3 retains the first 17 layers of pebbles but has polyethylene rods inserted between pebbles to simulate water ingress. The additional partial pebble layer (layer 18) for Core 3 was not included as it was used for core operations and not the reported critical configuration. Cores 1, 1A, 2, and 3 were determined to be acceptable benchmark experiments.

  3. HTR-PROTEUS Pebble Bed Experimental Program Cores 1, 1A, 2, and 3: Hexagonal Close Packing with a 1:2 Moderator-to-Fuel Pebble Ratio

    SciTech Connect (OSTI)

    John D. Bess; Barbara H. Dolphin; James W. Sterbentz; Luka Snoj; Igor Lengar; Oliver Köberl

    2012-03-01

    In its deployment as a pebble bed reactor (PBR) critical facility from 1992 to 1996, the PROTEUS facility was designated as HTR-PROTEUS. This experimental program was performed as part of an International Atomic Energy Agency (IAEA) Coordinated Research Project (CRP) on the Validation of Safety Related Physics Calculations for Low Enriched HTGRs. Within this project, critical experiments were conducted for graphite moderated LEU systems to determine core reactivity, flux and power profiles, reaction-rate ratios, the worth of control rods, both in-core and reflector based, the worth of burnable poisons, kinetic parameters, and the effects of moisture ingress on these parameters. Four benchmark experiments were evaluated in this report: Cores 1, 1A, 2, and 3. These core configurations represent the hexagonal close packing (HCP) configurations of the HTR-PROTEUS experiment with a moderator-to-fuel pebble ratio of 1:2. Core 1 represents the only configuration utilizing ZEBRA control rods. Cores 1A, 2, and 3 use withdrawable, hollow, stainless steel control rods. Cores 1 and 1A are similar except for the use of different control rods; Core 1A also has one less layer of pebbles (21 layers instead of 22). Core 2 retains the first 16 layers of pebbles from Cores 1 and 1A and has 16 layers of moderator pebbles stacked above the fueled layers. Core 3 retains the first 17 layers of pebbles but has polyethylene rods inserted between pebbles to simulate water ingress. The additional partial pebble layer (layer 18) for Core 3 was not included as it was used for core operations and not the reported critical configuration. Cores 1, 1A, 2, and 3 were determined to be acceptable benchmark experiments.

  4. Reactions of Monomeric [1,2,4-(Me3C)3C5H2]2CeH and CO with orwithout H2:An

    Office of Scientific and Technical Information (OSTI)

    Experimental and Computational Study (Journal Article) | SciTech Connect Reactions of Monomeric [1,2,4-(Me3C)3C5H2]2CeH and CO with orwithout H2:An Experimental and Computational Study Citation Details In-Document Search Title: Reactions of Monomeric [1,2,4-(Me3C)3C5H2]2CeH and CO with orwithout H2:An Experimental and Computational Study Addition of CO to [1,2,4-(Me3C)3C5H2]2CeH, Cp'2CeH, intoluene yields the cis (Cp'2Ce)2(mu-OCHCHO), in which the cis enediolategroup bridges the two

  5. Completion Report for Well ER-2-1

    SciTech Connect (OSTI)

    Bechtel Nevada

    2004-10-01

    Well ER-2-1 was drilled for the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office (formerly Nevada Operations Office), in support of the Nevada Environmental Restoration Project at the Nevada Test Site, Nye County, Nevada. This well was drilled in February and March of 2003, as part of a hydrogeologic investigation program for the Yucca Flat/Climax Mine Corrective Action Unit in the northeastern portion of the Nevada Test Site. Well ER-2-1 was drilled as part of the Yucca Flat Corrective Action Unit Phase I drilling initiative. The well is located in north central Yucca Flat within Area 2 of the Nevada Test Site, and provided information regarding the radiological and physical environment near underground nuclear tests conducted in a saturated volcanic aquifer setting. Detailed lithologic descriptions with stratigraphic assignments are included in this report. These are based on composite drill cuttings collected every 3 meters and 83 sidewall samples taken at various depths between 113.7 and 754.4 meters, supplemented by geophysical log data. Detailed petrographic, chemical, and mineralogical studies of rock samples were conducted on 27 samples of drill cuttings. The well was collared in tuffaceous alluvium, and penetrated Tertiary-age tuffs of the Timber Mountain and Paintbrush Groups, Calico Hills and Wahmonie Formations, Crater Flat Group, Grouse Canyon Formation, before reaching total depth in the Tunnel Bed Formation.

  6. Survey of Variable Generation Forecasting in the West: August 2011 - June 2012

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2012-04-01

    This report surveyed Western Interconnection Balancing Authorities regarding their implementation of variable generation forecasting, the lessons learned to date, and recommendations they would offer to other Balancing Authorities who are considering variable generation forecasting. Our survey found that variable generation forecasting is at an early implementation stage in the West. Eight of the eleven Balancing Authorities interviewed began forecasting in 2008 or later. It also appears that less than one-half of the Balancing Authorities in the West are currently utilizing variable generation forecasting, suggesting that more Balancing Authorities in the West will engage in variable generation forecasting should more variable generation capacity be added.

  7. Deuterium separation by multiple-photon dissociation of 2, 2-dichloro-1, 1, 1-trifluoroethane in a two-frequency CO/sub 2/ laser field

    SciTech Connect (OSTI)

    Pan, D.R.; Tan, J.C.

    1983-01-01

    Multiple-photon dissociation of CF/sub 3/CDCl/sub 2/-CF/sub 3/ CHCl/sub 2/ gas mixture in the field of two-frequency CO/sub 2/ laser light is studied. We obtained a single-step deuterium isotopic enrichment factor of 1600, which is significantly bigger than that obtained by single-frequency CO/sub 2/ laser irradiation.

  8. 1980 annual report to Congress: Volume three, Forecasts: Summary

    SciTech Connect (OSTI)

    Not Available

    1981-05-27

    This report presents an overview of forecasts of domestic energy consumption, production, and prices for the year 1990. These results are selected from more detailed projections prepared and published in Volume 3 of the Energy Information Administration 1980 Annual Report to Congress. This report focuses specifically upon the 1980's and concentrates upon similarities and differences in the domestic energy system, as forecast, compared to the national experience in the years immediately following the 1973--1974 oil embargo. Interest in the 1980's stems not only from its immediacy in time, but also from its importance as a time in which certain adjustments to higher energy prices are expected to take place. The forecasts presented do not attempt to account for all of this wide range of potentially important forces that could conceivably alter the energy situation. Instead, the projections are based on a particular set of assumptions that seems reasonable in light of what is currently known. 9 figs., 25 tabs.

  9. Axis-1 diode simulations I: standard 2-inch cathode

    SciTech Connect (OSTI)

    Ekdahl, Carl [Los Alamos National Laboratory

    2011-01-11

    The standard configuration of the DARHT Axis-I diode features a 5.08-cm diameter velvet emitter mounted in the flat surface of the cathode shroud. The surface of the velvet is slightly recessed {approx}2.5 mm. This configuration produces a 1.75 kA beam when a 3.8-MV pulse is applied to the anode-cathode (AK) gap. This note addresses some of the physics of this diode through the use of finite-element simulations.

  10. Zhirong H uang1, Yuantao Ding1, and Carl B. Schroeder2

    Office of Scientific and Technical Information (OSTI)

    o m p a ct x-ray free e lectro n laser from a laser-p lasm a accelera to r u sin g a tra n sv erse grad ien t u n d u lator Zhirong H uang1, Yuantao Ding1, and Carl B. Schroeder2 1 S L A G N ational Accelerator Laboratory, Menlo Park, CA 94025, USA 2 Lawrence Berkeley N ational Laboratory, Berkeley, CA 94720, USA (Dated: Septem ber 11, 2012) C om pact laser-plasm a accelerators can produce high energy electron beam s w ith low em ittance, high peak current b u t a rath e r large energy spread. T

  11. C. A. Tulk,1, a) A. M. dos Santos,1 J. C. Neuefeind,1, b) J. J. Molaison,1 B. C. Sales,2 and V. Honkimaeki3

    Office of Scientific and Technical Information (OSTI)

    Density driven structural transformations in amorphous semiconductor clathrates C. A. Tulk,1, a) A. M. dos Santos,1 J. C. Neuefeind,1, b) J. J. Molaison,1 B. C. Sales,2 and V. Honkimaeki3 4) Neutron Sciences Directorate, Oak Ridge National Laboratory, Oak Ridge TN 37831, USA 2) Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge TN 37831, USA 3) European Synchrotron Radiation Facility, F-38043 Grenoble, France (Dated: 20 November 2014) The pressure induced

  12. 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.

  13. High pressure–temperature phase diagram of 1,1-diamino-2,2-dinitroethylene (FOX-7)

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

    Bishop, Matthew M.; Velisavljevic, Nenad; Chellappa, Raja; Vohra, Yogesh K.

    2015-08-27

    In this study, the pressure–temperature (P–T) phase diagram of 1,1-diamino-2,2-dinitroethylene (FOX-7) was determined by in situ synchrotron infrared radiation spectroscopy with the resistively heated diamond anvil cell (DAC) technique. The stability of high-P–T FOX-7 polymorphs is established from ambient pressure up to 10 GPa and temperatures until decomposition. The phase diagram indicates two near isobaric phase boundaries at ~2 GPa (α → I) and ~5 GPa (I → II) that persists from 25 °C until the onset of decomposition at ~300 °C. In addition, the ambient pressure, high-temperature α → β phase transition (~111 °C) lies along a steep boundarymore » (~100 °C/GPa) with a α–β–δ triple point at ~1 GPa and 300 °C. A 0.9 GPa isobaric temperature ramping measurement indicates a limited stability range for the γ-phase between 0.5 and 0.9 GPa and 180 and 260 °C, terminating in a β–γ–δ triple point. With increasing pressure, the δ-phase exhibited a small negative dT/dP slope (up to ~0.2 GPa) before turning over to a positive 70 °C/GPa slope, at higher pressures. The decomposition boundary (~55 °C/GPa) was identified through the emergence of spectroscopic signatures of the characteristic decomposition products as well as trapped inclusions within the solid KBr pressure media.« less

  14. 2 BASIC ENERGY SCIENCES 2.1 Adenosine Triphosphate: The Energy Currency of Life

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

    7 6/1/2011 2 BASIC ENERGY SCIENCES 2.1 Adenosine Triphosphate: The Energy Currency of Life The energy cycle of all living organisms involves the molecule adenosine triphosphate (ATP), which captures the chemical energy released by the metabolism of nutrients and makes it available for cellular functions such as muscle contraction and transmission of nerve messages. A hard-working human adult can convert almost a ton of ATP daily. From the early 1960s through 1994, the Office of Science supported

  15. updated_supplemental_lists_1k-2k-3j-_1-10-2012.xlsx | Department of Energy

    Energy Savers [EERE]

    k-2k-3j-_1-10-2012.xlsx updated_supplemental_lists_1k-2k-3j-_1-10-2012.xlsx File updated_supplemental_lists_1k-2k-3j-_1-10-2012.xlsx More Documents & Publications updated_supplemental_lists_1l-2l-3k-_02-10-2012.xlsx updated_supplemental_lists_1n-2n-3m_07-06-2012.xlsx updated_supplemental_lists_1j-2j-3i_12-22-2011

  16. Highly Luminescent Lanthanide Complexes of 1 Hydroxy-2-pyridinones

    SciTech Connect (OSTI)

    University of California, Berkeley; Lawrence National Laboratory; Raymond, Kenneth; Moore, Evan G.; Xu, Jide; Jocher, Christoph J.; Castro-Rodriguez, Ingrid; Raymond, Kenneth N.

    2007-11-01

    The synthesis, X-ray structure, stability, and photophysical properties of several trivalent lanthanide complexes formed from two differing bis-bidentate ligands incorporating either alkyl or alkyl ether linkages and featuring the 1-hydroxy-2-pyridinone (1,2-HOPO) chelate group in complex with Eu(III), Sm(III) and Gd(III) are reported. The Eu(III) complexes are among some of the best examples, pairing highly efficient emission ({Phi}{sub tot}{sup Eu} {approx} 21.5%) with high stability (pEu {approx} 18.6) in aqueous solution, and are excellent candidates for use in biological assays. A comparison of the observed behavior of the complexes with differing backbone linkages shows remarkable similarities, both in stability and photophysical properties. Low temperature photophysical measurements for a Gd(III) complex were also used to gain insight into the electronic structure, and were found to agree with corresponding TD-DFT calculations for a model complex. A comparison of the high resolution Eu(III) emission spectra in solution and from single crystals also revealed a more symmetric coordination geometry about the metal ion in solution due to dynamic rotation of the observed solid state structure.

  17. Recovery Efficiency Test Project Phase 2 activity report, Volume 1

    SciTech Connect (OSTI)

    Overbey, W.K. Jr.; Salamy, S.P.; Locke, C.D.

    1989-02-01

    The purpose of Phase II operations of the Recovery Efficiency Test Project is to enhance the natural production of the well and evaluate the relative improvement as a function of the type of stimulation conducted. Another purpose is to compare the stimulated production performance of the horizontal well with vertical wells in the field. The objectives considered for Phase II operations and plans were: (1) Develop a rationale for a systematic approach to designing stimulations for the well. (2) Conduct a series of stimulations designed to optimize the fluids, injection rates, proppant volumes and general approach to stimulating a horizontal well with similar geologic conditions. (3) Develop and test a method or methods for determining the geometry of stimulation-induced fractures. (4) Conduct tests and analyze the results to determine the efficiency of stimulation operations. The technical approach pursued in developing plans to accomplish three objectives was to: (1) Review the data needs for all objectives and obtain that data first. (2) Identify the operating geologic, geomechanical, and reservoir parameters that need additional clarification or definition. (3) Investigate existing models which could be used to plan or evaluate stimulation on the well and the reservoir. (4) Plan for analysis and verification of models and approaches.

  18. Influence of defects on the charge density wave of ([SnSe]1+δ)1(VSe2)1 ferecrystals

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

    Falmbigl, Matthias; Putzky, Daniel; Ditto, Jeffrey; Esters, Marco; Bauers, Sage R.; Ronning, Filip; Johnson, David C.

    2015-07-14

    A series of ferecrystalline compounds ([SnSe]1+δ)1(VSe2)1 with varying Sn/V ratios were synthesized using the modulated elemental reactant technique. Temperature-dependent specific heat data reveal a phase transition at 102 K, where the heat capacity changes abruptly. An abrupt increase in electrical resistivity occurs at the same temperature, correlated with an abrupt increase in the Hall coefficient. Combined with the magnitude and nature of the specific heat discontinuity, this suggests that the transition is similar to the charge density wave transitions in transition metal dichalcogenides. An ordered intergrowth was formed over a surprisingly wide compositional range of Sn/V ratios of 0.89 ≤more » 1 + δ ≤ 1.37. X-ray diffraction and transmission electron microscopy reveal the formation of various volume defects in the compounds in response to the nonstoichiometry. The electrical resistivity and Hall coefficient data of samples with different Sn/V ratios show systematic variation in the carrier concentration with the Sn/V ratio. There is no significant change in the onset temperature of the charge density wave transition, only a variation in the carrier densities before and after the transition. Given the sensitivity of the charge density wave transitions of transition metal dichalcogenides to variations in composition, it is very surprising that the charge density wave transition observed at 102 K for ([SnSe]1.15)1(VSe2)1 is barely influenced by the nonstoichiometry and structural defects. As a result, this might be a consequence of the two-dimensional nature of the structurally independent VSe2 layers.« less

  19. Water Security Toolkit User Manual Version 1.2.

    SciTech Connect (OSTI)

    Klise, Katherine A.; Siirola, John Daniel; Hart, David; Hart, William E.; Phillips, Cynthia A.; Haxton, Terranna; Murray, Regan; Janke, Robert; Taxon, Thomas; Laird, Carl; Seth, Arpan; Hackebeil, Gabriel; McGee, Shawn; Mann, Angelica

    2014-08-01

    The Water Security Toolkit (WST) is a suite of open source software tools that can be used by water utilities to create response strategies to reduce the impact of contamination in a water distribution network . WST includes hydraulic and water quality modeling software , optimizati on methodologies , and visualization tools to identify: (1) sensor locations to detect contamination, (2) locations in the network in which the contamination was introduced, (3) hydrants to remove contaminated water from the distribution system, (4) locations in the network to inject decontamination agents to inactivate, remove, or destroy contaminants, (5) locations in the network to take grab sample s to help identify the source of contamination and (6) valves to close in order to isolate contaminate d areas of the network. This user manual describes the different components of WST , along w ith examples and case studies. License Notice The Water Security Toolkit (WST) v.1.2 Copyright c 2012 Sandia Corporation. Under the terms of Contract DE-AC04-94AL85000, there is a non-exclusive license for use of this work by or on behalf of the U.S. government. This software is distributed under the Revised BSD License (see below). In addition, WST leverages a variety of third-party software packages, which have separate licensing policies: Acro Revised BSD License argparse Python Software Foundation License Boost Boost Software License Coopr Revised BSD License Coverage BSD License Distribute Python Software Foundation License / Zope Public License EPANET Public Domain EPANET-ERD Revised BSD License EPANET-MSX GNU Lesser General Public License (LGPL) v.3 gcovr Revised BSD License GRASP AT&T Commercial License for noncommercial use; includes randomsample and sideconstraints executable files LZMA SDK Public Domain nose GNU Lesser General Public License (LGPL) v.2.1 ordereddict MIT License pip MIT License PLY BSD License PyEPANET Revised BSD License Pyro MIT License PyUtilib Revised BSD License PyYAML MIT License runpy2 Python Software Foundation License setuptools Python Software Foundation License / Zope Public License six MIT License TinyXML zlib License unittest2 BSD License Utilib Revised BSD License virtualenv MIT License Vol Common Public License vpykit Revised BSD License Additionally, some precompiled WST binary distributions might bundle other third-party executables files: Coliny Revised BSD License (part of Acro project) Dakota GNU Lesser General Public License (LGPL) v.2.1 PICO Revised BSD License (part of Acro project) i Revised BSD License Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of Sandia National Laboratories nor Sandia Corporation nor the names of its con- tributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS %22AS IS%22 AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IM- PLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL SANDIA CORPORATION BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUD- ING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ii Acknowledgements This work was supported by the U.S. Environmental Protection Agency through its Office of Research and Development (Interagency Agreement %23 DW8992192801). The material in this document has been subject to technical and policy review by the U.S. EPA, and approved for publication. The views expressed by individual authors, however, are their own, and do not necessarily reflect those of the U.S. Environmental Protection Agency. Mention of trade names, products, or services does not convey official U.S. EPA approval, endorsement, or recommendation. The Water Security Toolkit is an extension of the Threat Ensemble Vulnerability Assessment-Sensor Place- ment Optimization Tool (TEVA-SPOT), which was also developed with funding from the U.S. Environ- mental Protection Agency through its Office of Research and Development (Interagency Agreement %23 DW8992192801). The authors acknowledge the following individuals for their contributions to the devel- opment of TEVA-SPOT: Jonathan Berry (Sandia National Laboratories), Erik Boman (Sandia National Laboratories), Lee Ann Riesen (Sandia National Laboratories), James Uber (University of Cincinnati), and Jean-Paul Watson (Sandia National Laboratories). iii Acronyms ATUS American Time-Use Survey BLAS Basic linear algebra sub-routines CFU Colony-forming unit CVAR Conditional value at risk CWS Contamination warning system EA Evolutionary algorithm EDS Event detection system EPA U.S. Environmental Protection Agency EC Extent of Contamination ERD EPANET results database file GLPK GNU Linear Programming Kit GRASP Greedy randomized adaptive sampling process HEX Hexadecimal HTML HyperText markup language INP EPANET input file LP Linear program MC Mass consumed MILP Mixed integer linear program MIP Mixed integer program MSX Multi-species extension for EPANET NFD Number of failed detections NS Number of sensors NZD Non-zero demand PD Population dosed PE Population exposed PK Population killed TAI Threat assessment input file TCE Tailed-conditioned expectation TD Time to detection TEC Timed extent of contamination TEVA Threat ensemble vulnerability assessment TSB Tryptic soy broth TSG Threat scenario generation file TSI Threat simulation input file VAR Value at risk VC Volume consumed WST Water Security Toolkit YML YAML configuration file format for WST iv Symbols Notation Definition Example %7B , %7D set brackets %7B 1,2,3 %7D means a set containing the values 1,2, and 3. [?] is an element of s [?] S means that s is an element of the set S . [?] for all s = 1 [?] s [?] S means that the statement s = 1 is true for all s in set S . P summation P n i =1 s i means s 1 + s 2 + * * * + s n . %5C set minus S %5C T means the set that contains all those elements of S that are not in set T . %7C given %7C is used to define conditional probability. P ( s %7C t ) means the prob- ability of s occurring given that t occurs. %7C ... %7C cardinality Cardinality of a set is the number of elements of the set. If set S = %7B 2,4,6 %7D , then %7C S %7C = 3. v

  20. Final Project Report Project 10749-4.2.2.1 2007-2009

    SciTech Connect (OSTI)

    Zacher, Alan H.; Holladay, Johnathan E.; Frye, J. G.; Brown, Heather M.; Santosa, Daniel M.; Oberg, Aaron A.

    2009-05-11

    This is the final report for the DOE Project 10749-4.2.2.1 for the FY2007 - FY2009 period. This report is non-proprietary, and will be submitted to DOE as a final project report. The report covers activities under the DOE Project inside CRADA 269 (Project 53231) as well as project activites outside of that CRADA (Project 56662). This is the final report that is summarized from the non-proprietary quarterlies submitted to DOE over the past 2.5 years, which in turn are summaries from the proprietary technical reporting to UOP.

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

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

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

  2. Nevada potential repository preliminary transportation strategy Study 2. Volume 1

    SciTech Connect (OSTI)

    1996-02-01

    The objectives of this study were to build on the findings of the Nevada Potential Repository Preliminary Transportation Strategy Study 1 (CRWMS M&O 1995b), and to provide additional information for input to the repository environmental impact statement (EIS) process. In addition, this study supported the future selection of a preferred rail corridor and/or heavy haul route based on defensible data, methods, and analyses. Study research did not consider proposed legislation. Planning was conducted according to the Civilian Radioactive Waste Management Program Plan (DOE 1994a). The specific objectives of Study 2 were to: eliminate or reduce data gaps, inconsistencies, and uncertainties, and strengthen the analysis performed in Study 1; develop a preliminary list of rail route evaluation criteria that could be used to solicit input from stakeholders during scoping meetings. The evaluation criteria will be revised based on comments received during scoping; restrict and refine the width of the four rail corridors identified in Study 1 to five miles or less, based on land use constraints and engineering criteria identified and established in Study 2; evaluate national-level effects of routing spent nuclear fuel and high-level waste to the four identified branch lines, including the effects of routing through or avoiding Las Vegas; continue to gather published land use information and environmental data to support the repository EIS; continue to evaluate heavy haul truck transport over three existing routes as an alternative to rail and provide sufficient information to support the repository EIS process; and evaluate secondary uses for rail (passenger use, repository construction, shared use).

  3. The Vapor Pressure of 1-(2,2,3,3-Tetrafluoropropoxy)-3-(4-sec-butylphenoxy)-2-prop anol

    SciTech Connect (OSTI)

    Steele, W.V.

    2002-01-29

    The vapor pressure of the compound 1-(2,2,3,3-tetrafluoropropoxy)-3-(4-sec-butylphenoxy)-2-propanol was measured over the temperature range 62 to 92 C using a Knudsen effusion technique. This compound, known as Cs-7SB, is the modifier component in the caustic-side solvent extraction process solvent. The vapor pressure is related to temperature by the equation ln(p/Pa) = (32.202 {+-} 0.265) - (12154 {+-} 93)/T, where p is the pressure, expressed in pascals; Pa is the reference pressure of 1 pascal; and T is the temperature, expressed in degrees kelvin. The derived heat of vaporization is 101.1 {+-} 0.8{sup kJ{center_dot}mol{sup 1} at 351 K. Because the vapor pressures over the temperature range of 15 to 50 C were lower than the design capabilities of the Knudsen effusion apparatus, the vapor pressures at these temperature limits were obtained by extrapolation. The estimated values are 4.6 {+-} 0.3E-05 (3.5 {+-} 0.2E-07 mm Hg) and 4.5 {+-} 0.1E-03 Pa (3.4 {+-} 0.1E-05 mm Hg) for 15 C and 50 C, respectively.

  4. Thermolysis of (1R,2R)-1,2-dideuteriocyclobutane. An application of vibrational circular dichroism to kinetic analysis

    SciTech Connect (OSTI)

    Chickos, J.S.; Annamalai, A.; Keiderling, T.A.

    1986-07-23

    The relative rates of geometric isomerization to racemization have been studied for the title compound by using a combination of infrared (IR) and vibrational circular dichroism (VCD) spectroscopies, respectively. The results are interpreted with a kinetic and mechanistic scheme which parallels that used by Berson, Pedersen, and Carpenter on a similar study of chiral cyclopropane-d/sub 2/ thermolysis. Relative rates of isomerization to stereomutation of 1.5 +/- 0.4 were obtained which can be interpreted to be consistent with a mechanism best described by random methylene rotation in tetramethylene-d/sub 2/. This is the first application of VCD to kinetic analysis, and the advantages of IR techniques over the more usually employed UV spectroscopies to this type of basic mechanistic problem are illustrated.

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

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

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

  6. Certification for DOE M 142.2-1 Admin Chg 1

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2014-12-03

    DOE Manual 142.2-1 Admin Change 1, Manual for Implementation of the Voluntary Offer Safeguards Agreement and Additional Protocol with the International Atomic Energy Agency, 6/27/2013, has been reviewed by my organization and deemed to be in compliance with related Departmental Directives, Secretarial Delegations, organizational structure, budget guidelines, regulations, standards, OMB guidance, relevant memoranda of understanding and public laws. In addition, this directive is not found to cause undue burden (i.e., significant cost impacts, overly prescriptive, redundancy, or excessive reporting requirements) on Departmental elements and contractors.

  7. DOE Releases Latest Report on Energy Savings Forecast of Solid-State Lighting

    Broader source: Energy.gov [DOE]

    DOE has published a new report forecasting the energy savings of LED white-light sources compared with conventional white-light sources. The sixth iteration of the Energy Savings Forecast of Solid...

  8. Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations: September 2011

    SciTech Connect (OSTI)

    Piwko, R.; Jordan, G.

    2011-11-01

    This study analyzed the potential benefits of improving the accuracy (reducing the error) of day-ahead wind forecasts on power system operations, assuming that wind forecasts were used for day ahead security constrained unit commitment.

  9. Status of Centralized Wind Power Forecasting in North America: May 2009-May 2010

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2010-04-01

    Report surveys grid wind power forecasts for all wind generators, which are administered by utilities or regional transmission organizations (RTOs), typically with the assistance of one or more wind power forecasting companies.

  10. GBL-2D Version 1.0: a 2D geometry boolean library.

    SciTech Connect (OSTI)

    McBride, Cory L. (Elemental Technologies, American Fort, UT); Schmidt, Rodney Cannon; Yarberry, Victor R.; Meyers, Ray J. (Elemental Technologies, American Fort, UT)

    2006-11-01

    This report describes version 1.0 of GBL-2D, a geometric Boolean library for 2D objects. The library is written in C++ and consists of a set of classes and routines. The classes primarily represent geometric data and relationships. Classes are provided for 2D points, lines, arcs, edge uses, loops, surfaces and mask sets. The routines contain algorithms for geometric Boolean operations and utility functions. Routines are provided that incorporate the Boolean operations: Union(OR), XOR, Intersection and Difference. A variety of additional analytical geometry routines and routines for importing and exporting the data in various file formats are also provided. The GBL-2D library was originally developed as a geometric modeling engine for use with a separate software tool, called SummitView [1], that manipulates the 2D mask sets created by designers of Micro-Electro-Mechanical Systems (MEMS). However, many other practical applications for this type of software can be envisioned because the need to perform 2D Boolean operations can arise in many contexts.

  11. update4_supplemental_lists_1c_2c_2c3b_041411updated_051711.xls | Department

    Energy Savers [EERE]

    of Energy update4_supplemental_lists_1c_2c_2c3b_041411updated_051711.xls update4_supplemental_lists_1c_2c_2c3b_041411updated_051711.xls Office spreadsheet icon update4_supplemental_lists_1c_2c_2c3b_041411updated_051711.xls More Documents & Publications List 2: Eligible Multifamily Buildings 10-CFR-440.22(b)(4)(ii) updated_supplemental_lists_1h-2h-3g- 11-4-2011.xlsx updated_supplemental_lists_1j-2j-3i_12-22-2011.xlsx

  12. Site Environmental Report for 2011, Volumes 1& 2

    SciTech Connect (OSTI)

    Baskin, David; Bauters, Tim; Borglin, Ned; Fox, Robert; Horst, Blair; Jelinski, John; Lackner, Ginny; Philliber, Jeff; Rothermich, Nancy; Thorson, Patrick; Wahl, Linnea; Xu, Suying

    2012-09-12

    The Site Environmental Report for 2011 summarizes Berkeley Lab’s environmental management performance, presents environmental monitoring results, and describes significant programs for calendar year (CY) 2011. Throughout this report, “Berkeley Lab” or “LBNL” refers both to (1) the multiprogram scientific facility the UC manages and operates on the 202-acre university-owned site located in the hills above the UC Berkeley campus, and the site itself, and (2) the UC as managing and operating contractor for Ernest Orlando Lawrence Berkeley National Laboratory. The report is separated into two volumes. Volume I is organized into an executive summary followed by six chapters that include an overview of LBNL, a discussion of its Environmental Management System (EMS), the status of environmental programs, summarized results from surveillance and monitoring activities, and quality assurance (QA) measures. Volume II contains individual data results from surveillance and monitoring activities.

  13. Gravitationally collapsing shells in (2+1) dimensions

    SciTech Connect (OSTI)

    Mann, Robert B.; Oh, John J.

    2006-12-15

    We study gravitationally collapsing models of pressureless dust, fluids with pressure, and the generalized Chaplygin gas (GCG) shell in (2+1)-dimensional spacetimes. Various collapse scenarios are investigated under a variety of the background configurations such as anti-de Sitter (AdS) black hole, de Sitter (dS) space, flat and AdS space with a conical deficit. As with the case of a disk of dust, we find that the collapse of a dust shell coincides with the Oppenheimer-Snyder type collapse to a black hole provided the initial density is sufficiently large. We also find - for all types of shell - that collapse to a naked singularity is possible under a broad variety of initial conditions. For shells with pressure this singularity can occur for a finite radius of the shell. We also find that GCG shells exhibit diverse collapse scenarios, which can be easily demonstrated by an effective potential analysis.

  14. Catalytic hydrodechlorination of chlorocarbons. 2: Ternary oxide supports for catalytic conversions of 1,2-dichlorobenzene

    SciTech Connect (OSTI)

    Gampine, A.; Eyman, D.P.

    1998-10-01

    Ternary oxides of Ti-Zr-Al and Ti-Zr-Si were prepared by coating commercial Al{sub 2}O{sub 3} and SiO{sub 2} with a THF solution of Ti(OPr{sup i}){sub 4} and Zr(OPr{sup 1}){sub 4} under controlled conditions. Nitrogen adsorption and X-ray powder diffraction indicate that the structure of the base supports, Al{sub 2}O{sub 3} and SiO{sub 2}, were not significantly altered upon coating and that TiO{sub 2} and ZrO{sub 2} were quite uniformly spread on them. The acid resistance of alumina was found to be increased upon coating. Palladium supported catalysts, Pd/TiZrAlO{sub x}, Pd/TiZrSiO{sub x}, Pd/TiO{sub 2}, Pd/ZrO{sub 2}, Pd/SiO{sub 2}, and Pd/Al{sub 2}O{sub 3} were prepared to evaluate the ternary oxides relative to the component single oxide supports. Palladium dispersion was determined using hydrogen chemisorption and the catalysts were evaluated for hydrodechlorination of 1,2-dichlorobenzene. The experimental runs were carried out in a microflow reactor system at atmospheric pressure, in the gas phase. The catalysts were oxidized and then reduced, prior to reaction. The kinetic studies showed that the ternary oxide-based catalyst, Pd/TiZrAlO{sub x} exhibited an improved stability and activity much higher than the arithmetic sum of the activities of the component single oxide based palladium catalysts. Comparison of the specific activities of the catalysts expressed as TOF, indicate that the observed differences in activity may be related to the chemical nature of the supports. The best catalyst had an initial specific activity of 16.6 s{sup {minus}1}. The authors observed that the pretreatment of the catalyst has a profound effect on its stability and activity. Also, the experimental results indicated that the major factors of the catalyst deactivation are agglomeration of palladium particles and HCl poisoning. Prospects for optimization of these catalysts are discussed in light of the results of this work.

  15. Beyond "Partly Sunny": A Better Solar Forecast | Department of Energy

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

    Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast December 7, 2012 - 10:00am Addthis The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods of cloud coverage. | Photo by Dennis Schroeder/NREL. The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during

  16. Data Collection and Comparison with Forecasted Unit Sales of Five Lamp

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

    Types | Department of Energy Collection and Comparison with Forecasted Unit Sales of Five Lamp Types Data Collection and Comparison with Forecasted Unit Sales of Five Lamp Types PDF icon Data Collection and Comparison with Forecasted Unit Sales of Five Lamp Types More Documents & Publications Energy Conservation Program: Data Collection and Comparison with Forecasted Unit Sales for Five Lamp Types, Notice of Data Availability CX-100584 Categorical Exclusion Determination ISSUANCE

  17. Central Wind Power Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities

    SciTech Connect (OSTI)

    Porter, K.; Rogers, J.

    2009-12-01

    The report addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America.

  18. Review of Wind Energy Forecasting Methods for Modeling Ramping Events

    SciTech Connect (OSTI)

    Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

    2011-03-28

    Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

  19. Weather forecast-based optimization of integrated energy systems.

    SciTech Connect (OSTI)

    Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

    2009-03-01

    In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

  20. Weather Research and Forecasting Model with the Immersed Boundary Method

    Energy Science and Technology Software Center (OSTI)

    2012-05-01

    The Weather Research and Forecasting (WRF) Model with the immersed boundary method is an extension of the open-source WRF Model available for wwww.wrf-model.org. The new code modifies the gridding procedure and boundary conditions in the WRF model to improve WRF's ability to simutate the atmosphere in environments with steep terrain and additionally at high-resolutions.

  1. Buildings Energy Data Book: 1.2 Building Sector Expenditures

    Buildings Energy Data Book [EERE]

    1 Building Energy Prices, by Year and Major Fuel Type ($2010 per Million Btu) Residential Buildings Commercial Buildings Building Electricity Natural Gas Petroleum (1) Avg. Electricity Natural Gas Petroleum (2) Avg. Avg. (3) 1980 36.40 8.35 16.77 17.64 37.22 7.70 13.06 18.52 17.99 1981 38.50 8.88 18.35 19.09 39.06 8.29 14.78 20.56 19.68 1982 40.15 10.08 17.28 19.98 40.15 9.40 13.28 21.21 20.48 1983 40.43 11.30 16.08 21.00 39.51 10.43 12.53 21.55 21.23 1984 38.80 11.02 15.61 20.20 38.68 10.00

  2. Approved Site Treatment Plan, Volumes 1 and 2. Revision 4

    SciTech Connect (OSTI)

    Helmich, E.H.; Molen, G.; Noller, D.

    1996-03-22

    The US Department of Energy, Savannah River Operations Office (DOE-SR), has prepared the Site Treatment Plan (STP) for Savannah River Site (SRS) mixed wastes in accordance with RCRA Section 3021(b), and SCDHEC has approved the STP (except for certain offsite wastes) and issued an order enforcing the STP commitments in Volume 1. DOE-SR and SCDHEC agree that this STP fulfills the requirements contained in the FFCAct, RCRA Section 3021, and therefore, pursuant to Section 105(a) of the FFCAct (RCRA Section 3021(b)(5)), DOE`s requirements are to implement the plan for the development of treatment capacities and technologies pursuant to RCRA Section 3021. Emerging and new technologies not yet considered may be identified to manage waste more safely, effectively, and at lower cost than technologies currently identified in the plan. DOE will continue to evaluate and develop technologies that offer potential advantages in public acceptance, privatization, consolidation, risk abatement, performance, and life-cycle cost. Should technologies that offer such advantages be identified, DOE may request a revision/modification of the STP in accordance with the provisions of Consent Order 95-22-HW. The Compliance Plan Volume (Volume 1) identifies project activity schedule milestones for achieving compliance with Land Disposal Restrictions (LDR). Information regarding the technical evaluation of treatment options for SRS mixed wastes is contained in the Background Volume (Volume 2) and is provided for information.

  3. Use of wind power forecasting in operational decisions.

    SciTech Connect (OSTI)

    Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V.

    2011-11-29

    The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help efficiently address this challenge, and significant efforts have been invested in developing more accurate wind power forecasts. In this report, we document our work on the use of wind power forecasting in operational decisions.

  4. Review/Verify Strategic Skills Needs/Forecasts/Future Mission...

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

    Sector program Execution Plans (1-3 yrs) HR Strategic Plan (1-3 yrs) Current hiring Lists (1-2 yrs) Succession Plans (1-x yrs) UpdateValidate Strategic Staff...

  5. Final Report- Integration of Behind-the-Meter PV Fleet Forecasts into Utility Grid System Operations

    Broader source: Energy.gov [DOE]

    Four major research objectives were completed over the course of this study. Three of the objectives were to evaluate three, new, state-of-the-art solar irradiance forecasting models. The fourth objective was to improve the California independent system operator’s load forecasts by integrating behind-the-meter photovoltaic forecasts.

  6. Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.; Gomez-Lazaro, E.; Lovholm, A. L.; Berge, E.; Miettinen, J.; Holttinen, H.; Cutululis, N.; Litong-Palima, M.; Sorensen, P.; Dobschinski, J.

    2013-10-01

    One of the critical challenges of wind power integration is the variable and uncertain nature of the resource. This paper investigates the variability and uncertainty in wind forecasting for multiple power systems in six countries. An extensive comparison of wind forecasting is performed among the six power systems by analyzing the following scenarios: (i) wind forecast errors throughout a year; (ii) forecast errors at a specific time of day throughout a year; (iii) forecast errors at peak and off-peak hours of a day; (iv) forecast errors in different seasons; (v) extreme forecasts with large overforecast or underforecast errors; and (vi) forecast errors when wind power generation is at different percentages of the total wind capacity. The kernel density estimation method is adopted to characterize the distribution of forecast errors. The results show that the level of uncertainty and the forecast error distribution vary among different power systems and scenarios. In addition, for most power systems, (i) there is a tendency to underforecast in winter; and (ii) the forecasts in winter generally have more uncertainty than the forecasts in summer.

  7. Lattice study of light scalar tetraquarks with I=0,2,1/2,3/2: Are {sigma} and {kappa} tetraquarks?

    SciTech Connect (OSTI)

    Prelovsek, Sasa; Draper, Terrence; Liu, Keh-Fei; Lang, Christian B.; Limmer, Markus; Mathur, Nilmani; Mohler, Daniel

    2010-11-01

    We investigate whether the lightest scalar mesons {sigma} and {kappa} have a large tetraquark component qqqq, as is strongly supported by many phenomenological studies. A search for possible light tetraquark states with J{sup PC}=0{sup ++} and I=0,2,1/2,3/2 on the lattice is presented. We perform the two-flavor dynamical simulation with chirally improved quarks and the quenched simulation with overlap quarks, finding qualitative agreement between both results. The spectrum is determined using the generalized eigenvalue method with a number of tetraquark interpolators at the source and the sink, and we omit the disconnected contractions. The time dependence of the eigenvalues at the finite temporal extent of the lattice is explored also analytically. In all the channels, we unavoidably find the lowest scattering states {pi}(k){pi}(-k) or K(k){pi}(-k) with back-to-back momentum k=0,2{pi}/L,.... However, we find an additional light state in the I=0 and I=1/2 channels, which may be interpreted as the observed resonances {sigma} and {kappa} with a sizable tetraquark component. In the exotic repulsive channels I=2 and I=3/2, where no resonance is observed, we find no light state in addition to the scattering states.

  8. Matrix isolation infrared spectroscopic and theoretical study of 1,1,1-trifluoro-2-chloroethane (HCFC-133a)

    SciTech Connect (OSTI)

    Rodrigues, Gessenildo Pereira; Ventura, Elizete E-mail: rfausto@ci.uc.pt; Andrade do Monte, Silmar; Lucena, Juracy Régis; Reva, Igor; Fausto, Rui E-mail: rfausto@ci.uc.pt

    2013-11-28

    The molecular structure and infrared spectrum of the atmospheric pollutant 1,1,1-trifluoro-2-chloroethane (HCFC-133a; CF{sub 3}CH{sub 2}Cl) in the ground electronic state were characterized experimentally and theoretically. Excited state calculations (at the CASSCF, MR-CISD, and MR-CISD+Q levels) have also been performed in the range up to ∼9.8 eV. The theoretical calculations show the existence of one (staggered) conformer, which has been identified spectroscopically for the monomeric compound isolated in cryogenic (∼10 K) argon and xenon matrices. The observed infrared spectra of the matrix-isolated HCFC-133a were interpreted with the aid of MP2/aug-cc-pVTZ calculations and normal coordinate analysis, which allowed a detailed assignment of the observed spectra to be carried out, including identification of bands due to different isotopologues ({sup 35}Cl and {sup 37}Cl containing molecules). The calculated energies of the several excited states along with the values of oscillator strengths and previous results obtained for CFCs and HCFCs suggest that the previously reported photolyses of the title compound at 147 and 123.6 nm [T. Ichimura, A. W. Kirk, and E. Tschuikow-Roux, J. Phys. Chem. 81, 1153 (1977)] are likely to be initiated in the n-4s and n-4p Rydberg states, respectively.

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

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

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

  10. Stereochemical effects in the gas-phase pinacol rearrangement. 2. Ring contraction versus methyl migration in cis- and trans-1,2-dimethylcyclohexane-1,2-diol

    SciTech Connect (OSTI)

    de Petris, G.; Giacomello, P.; Pizzabiocca, A.; Renzi, G.; Speranza, M.

    1988-02-17

    The gas-phase pinacol rearrangement of cis- and trans-1,2-dimethylcyclohexane-1,2-diols, promoted by D/sub 3//sup +/, CH/sub 5//sup +//C/sub 2/H/sub 5//sup +/ and t-C/sub 4/H/sub 9//sup +/ ions, was studied by mass spectrometric and radiolytic methods in the pressure range 0.5-760 Torr. When product isomerization is inhibited, by using N(CH/sub 3/)/sub 3/ as a trapping reagent at high pressure, mixtures of 2,2-dimethylcyclohexanone and 1-acetyl-1-methylcyclopentane were recovered from the reaction. In methane, the trend of the measured relative rates for ring contraction (k/sub 5/), methyl or hydroxyl group migration (k/sub 6/) versus the rearrangement rate of pincaol itself (k/sub p/), is k/sub 6/(trans) approx. k/sub 5/(trans) greater than or equal to k/sub 5/(cis) > k/sub 6/(cis) greater than or equal to k/sub p/. No evidence for the formation of an intermediate carbenium ion was found. Stereochemical aspects of the mechanism are discussed and compared with solution data.

  11. ITOUGH2 command reference. Version 3.1

    SciTech Connect (OSTI)

    Finsterle, S.

    1997-04-01

    This report contains a detailed description of all ITOUGH2 commands. It complements the ITOUGH2 User`s Guide and the collection of ITOUGH2 sample problems. ITOUGH2 is a program for parameter estimation, sensitivity analysis, and uncertainty propagation analysis. It is based on the TOUGH2 simulator for non-isothermal multiphase flow in fractured and porous media. Extensive experience in using TOUGH2 is a prerequisite for using ITOUGH2. The preparation of an input file for TOUGH2 or its derivatives is described in separate manuals and is not part of this report. The ITOUGH2 user`s guide summarizes the inverse modeling theory pertaining to ITOUGH2, and describes the program output. Furthermore, information about code architecture and installation are given. In Chapter 2 of this report, a brief summary of inverse modeling theory is given to restate the main concepts implemented in ITOUGH2 and to introduce certain definitions. Chapter 3 introduces the basic concepts of the ITHOUGH2 input language and the main structure of an ITOUGH2 input file. Chapter 4, the main part of this report, provides detailed descriptions of each ITOUGH2 command in alphabetical order. It is complemented by a command index in Appendix B in which the commands are given in logical order. The content of Chapter 4 is also available on-line using command it2help. Chapter 5 describes the usage of the UNIX script files for executing, checking, and terminating ITOUGH2 simulations.

  12. (p,. cap alpha. ) reactions on 1p, 2s-1d shell nuclei

    SciTech Connect (OSTI)

    Pellegrini, F.; Trivisonno, D.; Avon, S.; Bianchin, R.; Rui, R.

    1983-07-01

    The /sup 12/C(p,..cap alpha..)/sup 9/B and /sup 32/S(p,..cap alpha..)/sup 29/P reactions have been studied at incident energies of 42.77 and 41.9 MeV, respectively. The experimental (p,..cap alpha..) relative cross sections are well reproduced by distorted wave direct pickup calculations with a semimicroscopic form factor and current shell model wave functions. A comparison between (p,..cap alpha..) and (/sup 3/He,d) spectra on 1p and 2s-1d shell nuclei, leading to the same final nucleus, shows a clear evidence of a dominant pickup process over the knockout mechanism in the dynamics of the (p,..cap alpha..) reaction.

  13. Table HC1.1.4 Housing Unit Characteristics by Average Floorspace--Apartments, 2

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

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

  14. The operation of the LHC accelerator complex (1/2)

    ScienceCinema (OSTI)

    None

    2011-10-06

    These lectures will give an overview of what happens when the LHC is in running mode. They are aimed at students working on the LHC experiments, but all those who are curious about what happens behind the scenes of the LHC are welcomed. You will learn all you always wanted to know about the LHC, and never had the courage to ask! The only pre-requisite is a basic, college-level, knowledge of EM and of the principles that allow to steer charged beams. Topics covered will include, among others: - the description of the injector chain, from the generation of the protons, to the delivery of bunches to the LHC. - the discussion of the steps required to accelerate the beams in the LHC, to bring them into collision, and to control the luminosity at the interaction points. - the description of the monitoring tools available to the LHC operators, and an explanation of the various plots and panels that can be found on the LHC web pages. o Lecture 1: Wednesday April 7, 10-11am o Lecture 2: Friday April 9, 10-11am The lectures will be webcast, recorded and archived. Coffee will be served before the lectures, starting at 9:45

  15. Hanford Site emergency response needs, Volumes 1 and 2

    SciTech Connect (OSTI)

    Good, D.E.

    1996-04-16

    This report presents the results of a comprehensive third party needs assessment of the Hanford Fire Department (HFD), conducted by Hughes Associates Inc. The assessment was commissioned with the intent of obtaining an unbiased report which could be used as a basis for identifying needed changes/modifications to the fire department and its services. This report serves several functions: (1) it documents current and future site operations and associated hazards and risks identified as a result of document review, site and facility surveys, and interviews with knowledgeable personnel; (2) describes the HFD in terms of organization, existing resources and response capabilities; (3) identifies regulatory and other requirements that are applicable to the HFD and includes a discussion of associated legal liabilities; and (4) provides recommendations based on applicable requirements and existing conditions. Each recommendation is followed by a supporting statement to clarify the intent or justification of the recommendation. This report will be followed by a Master Plan document which will present an implementation method for the recommendations (with associated costs) considered to be essential to maintaining adequate, cost effective emergency services at the Hanford site in the next five to seven years.

  16. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    Petroleum Gases 5,202 15,123 23,191 36,994 - -1,344 1,693 1,039 79,122 5,357 EthaneEthylene 148 107 0 0 - 0 0 0 255 0 PropanePropylene 3,359 17,172 20,262 36,150 - -1,318 0...

  17. San Joaquin Solar 1 & 2 Solar Power Plant | Open Energy Information

    Open Energy Info (EERE)

    Solar 1 & 2 Solar Power Plant Jump to: navigation, search Name San Joaquin Solar 1 & 2 Solar Power Plant Facility San Joaquin Solar 1 & 2 Sector Solar Facility Type Hybrid...

  18. Characterization of a Genuine S=1/2 Fe(V) Complex

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

    Characterization of a Genuine S12 Fe(V) Complex Nria Aliaga-Alcalde,1 Serena DeBeer George,2 Bernd Mienert,1 Eckhard Bill,1 Karl Wieghardt1 and Frank Neese1 1Max Planck...

  19. 1

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

    2 Rev. 0 Environmental Assessment for the Accelerated Tank Closure Demonstration Project Prepared by: U.S. Department of Energy Office of River Protection Richland, Washington June 2003 DOE/EA-1462 Rev. 0 CONTENTS 1.0 PURPOSE AND NEED FOR AGENCY ACTION ........................................................... 1 1.1 BACKGROUND .................................................................................................... 1 1.1.1 Cleanup

  20. Agent-based model forecasts aging of the population of people who inject drugs in metropolitan Chicago and changing prevalence of hepatitis C infections

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

    Gutfraind, Alexander; Boodram, Basmattee; Prachand, Nikhil; Hailegiorgis, Atesmachew; Dahari, Harel; Major, Marian E.; Kaderali, Lars

    2015-09-30

    People who inject drugs (PWID) are at high risk for blood-borne pathogens transmitted during the sharing of contaminated injection equipment, particularly hepatitis C virus (HCV). HCV prevalence is influenced by a complex interplay of drug-use behaviors, social networks, and geography, as well as the availability of interventions, such as needle exchange programs. To adequately address this complexity in HCV epidemic forecasting, we have developed a computational model, the Agent-based Pathogen Kinetics model (APK). APK simulates the PWID population in metropolitan Chicago, including the social interactions that result in HCV infection. We used multiple empirical data sources on Chicago PWID tomore » build a spatial distribution of an in silico PWID population and modeled networks among the PWID by considering the geography of the city and its suburbs. APK was validated against 2012 empirical data (the latest available) and shown to agree with network and epidemiological surveys to within 1%. For the period 2010–2020, APK forecasts a decline in HCV prevalence of 0.8% per year from 44(±2)% to 36(±5)%, although some sub-populations would continue to have relatively high prevalence, including Non-Hispanic Blacks, 48(±5)%. The rate of decline will be lowest in Non-Hispanic Whites and we find, in a reversal of historical trends, that incidence among non-Hispanic Whites would exceed incidence among Non-Hispanic Blacks (0.66 per 100 per years vs 0.17 per 100 person years). APK also forecasts an increase in PWID mean age from 35(±1) to 40(±2) with a corresponding increase from 59(±2)% to 80(±6)% in the proportion of the population >30 years old. Our research highlight the importance of analyzing sub-populations in disease predictions, the utility of computer simulation for analyzing demographic and health trends among PWID and serve as a tool for guiding intervention and prevention strategies in Chicago, and other major cities.« less

  1. Agent-based model forecasts aging of the population of people who inject drugs in metropolitan Chicago and changing prevalence of hepatitis C infections

    SciTech Connect (OSTI)

    Gutfraind, Alexander; Boodram, Basmattee; Prachand, Nikhil; Hailegiorgis, Atesmachew; Dahari, Harel; Major, Marian E.; Kaderali, Lars

    2015-09-30

    People who inject drugs (PWID) are at high risk for blood-borne pathogens transmitted during the sharing of contaminated injection equipment, particularly hepatitis C virus (HCV). HCV prevalence is influenced by a complex interplay of drug-use behaviors, social networks, and geography, as well as the availability of interventions, such as needle exchange programs. To adequately address this complexity in HCV epidemic forecasting, we have developed a computational model, the Agent-based Pathogen Kinetics model (APK). APK simulates the PWID population in metropolitan Chicago, including the social interactions that result in HCV infection. We used multiple empirical data sources on Chicago PWID to build a spatial distribution of an in silico PWID population and modeled networks among the PWID by considering the geography of the city and its suburbs. APK was validated against 2012 empirical data (the latest available) and shown to agree with network and epidemiological surveys to within 1%. For the period 2010–2020, APK forecasts a decline in HCV prevalence of 0.8% per year from 44(±2)% to 36(±5)%, although some sub-populations would continue to have relatively high prevalence, including Non-Hispanic Blacks, 48(±5)%. The rate of decline will be lowest in Non-Hispanic Whites and we find, in a reversal of historical trends, that incidence among non-Hispanic Whites would exceed incidence among Non-Hispanic Blacks (0.66 per 100 per years vs 0.17 per 100 person years). APK also forecasts an increase in PWID mean age from 35(±1) to 40(±2) with a corresponding increase from 59(±2)% to 80(±6)% in the proportion of the population >30 years old. Our research highlight the importance of analyzing sub-populations in disease predictions, the utility of computer simulation for analyzing demographic and health trends among PWID and serve as a tool for guiding intervention and prevention strategies in Chicago, and other major cities.

  2. From PADD 2 to PADD 1 Movements of Crude Oil by Rail

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

    Area: (From) PADD 1 Total PADD 1 to U.S. PADD 1 to PADD 1 PADD 1 to PADD 2 PADD 1 to PADD 3 PADD 1 to PADD 4 PADD 1 to Canada (From) PADD 2 Total PADD 2 to U.S. PADD 2 to PADD 1 PADD 2 to PADD 2 PADD 2 to PADD 3 PADD 2 to PADD 4 PADD 2 to PADD 5 PADD 2 to Canada (From) PADD 3 Total PADD 3 to U.S. PADD 3 to PADD 1 PADD 3 to PADD 2 PADD 3 to PADD 3 PADD 3 to PADD 4 PADD 3 to PADD 5 PADD 3 to Canada (From) PADD 4 Total PADD 4 to U.S. PADD 4 to PADD 1 PADD 4 to PADD 2 PADD 4 to PADD 3 PADD 4 to PADD

  3. updated_supplemental_lists_1e-2e_20110803.xls | Department of Energy

    Energy Savers [EERE]

    e-2e_20110803.xls updated_supplemental_lists_1e-2e_20110803.xls Office spreadsheet icon updated_supplemental_lists_1e-2e_20110803.xls More Documents & Publications updated_supplemental_lists_1n-2n-3m_07-06-2012.xlsx updated_supplemental_lists_1p_2p_3o_04302013.xlsx supplemental_lists.xls

  4. CASL Plan of Record 2 (1/11-6/11)

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

    ... 2.3 and 2.4) that will be needed to permit users of VERA to install and utilize the ... as new capabilities and improvements become available using a "pipeline" update process. ...

  5. Microsoft Word - Quarterly Financial Report-1st Qtr _2_.doc

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

    43,837 100,614 2 Operating Revenues Revenues of 748 million from electricity and transmission sales were up 11 million, or 2 percent compared to the prior years first quarter....

  6. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    0 1,605 9 0 1 1,627 9 0 Natural Gas Liquids and LRGs 17 41 64 101 - -4 5 3 220 Pentanes Plus 3 - 0 0 - 0 0 0 3 Liquefied Petroleum Gases 14 41 64 101 - -4 5 3 217 EthaneEthylene...

  7. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    Pentanes Plus 30 - 1 -17 - 0 6 1 6 Liquefied Petroleum Gases 172 4 9 -141 - 0 9 1 34 EthaneEthylene 82 0 0 -76 - 0 0 0 6 PropanePropylene 57 8 7 -39 - 0 0 0 33 Normal Butane...

  8. Cytotoxicity, genotoxicity, and mutagenicity of 1-chloro-2-hydroxy-3-butene and 1-chloro-3-buten-2-one, two alternative metabolites of 1,3-butadiene

    SciTech Connect (OSTI)

    Liu, Xin-Jie; Zeng, Fang-Mao; An, Jing; Yu, Ying-Xin; Zhang, Xin-Yu; Elfarra, Adnan A.

    2013-08-15

    The cytotoxicity, genotoxicity, and mutagenicity of 1-chloro-2-hydroxy-3-butene (CHB), a known in vitro metabolite of the human carcinogen 1,3-butadiene, have not previously been investigated. Because CHB can be bioactivated by alcohol dehydrogenases to yield 1-chloro-3-buten-2-one (CBO), a bifunctional alkylating agent that caused globin-chain cross-links in erythrocytes, in the present study we investigated the cytotoxic and genotoxic potential of CHB and CBO in human normal hepatocyte L02 cells using the MTT assay, the relative cloning efficiency assay and the comet assay. We also investigated the mutagenic potential of these compounds with the Ames test using Salmonella strains TA1535 and TA1537. The results provide clear evidence for CHB and CBO being both cytotoxic and genotoxic with CBO being approximately 100-fold more potent than CHB. Interestingly, CHB generated both single-strand breaks and alkali-labile sites on DNA, whereas CBO produced only alkali-labile sites. CHB did not directly result in DNA breaks, whereas CBO was capable of directly generating breaks on DNA. Interestingly, both compounds did not induce DNA cross-links as examined by the comet assay. The Ames test results showed that CHB induced point mutation but not frameshift mutation, whereas the toxic effects of CBO made it difficult to reliably assess the mutagenic potential of CBO in the two strains. Collectively, the results suggest that CHB and CBO may play a role in the mutagenicity and carcinogenicity of 1,3-butadiene. - Highlights: 1-Chloro-2-hydroxy-3-butene (CHB) is cytotoxic and genotoxic in human liver cells. The CHB metabolite, 1-chloro-3-buten-2-one (CBO) is ? 100-fold more toxic than CHB. CHB and CBO cause DNA alkali-labile sites, but only CBO directly causes DNA breaks. CHB is mutagenic in the Ames test, but CBO is too toxic in the assay. The results suggest a role for CHB in 1,3-butadiene genotoxicity and mutagenicity.

  9. REE Sorption Study for Media #1 and Media #2 in Brine #1 and #2 at different Liquid to Solid Ratio's at Ambient Temperature

    SciTech Connect (OSTI)

    Gary Garland

    2015-03-27

    This data set shows the different loading capacities of Media #1 and Media #2 in a high and low salt content brine matrix at different liquid to solid ratio's. These data sets are shaker bath tests on media #1 and media #2 in brine's #1 and #2 at 500mL-.5g(1000-1 ratio), 150mL-.75g(200-1 ratio), and 150mL-2.5g(60-1 ratio) at ambient temperature.

  10. CASL Plan of Record 2 (1/11-6/11)

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

    1-000 MCNPX and KENO-VI Simulations of WBNP Unit 1 with Keno Comparisons Benchmark Results VERA Core Physics Progression Problems 1 - 5 William Gurecky Erich Schneider The University of Texas at Austin February 20, 2015 MCNPX and KENO-VI Benchmark Results Consortium for Advanced Simulation of LWRs ii CASL-U-2015-0221-000 REVISION LOG Revision Date Affected Pages Revision Description Document pages that are: Export Controlled _____________None___________________________ IP/Proprietary/NDA

  11. updated_supplemental_lists_1o_2o_3n_091812.xlsx | Department of Energy

    Energy Savers [EERE]

    o_2o_3n_091812.xlsx updated_supplemental_lists_1o_2o_3n_091812.xlsx File updated_supplemental_lists_1o_2o_3n_091812.xlsx More Documents & Publications updated_supplemental_lists_1n-2n-3m_07-06-2012.xlsx updated_supplemental_lists_1m-2m-3l-04-05-2012.xlsx updated_supplemental_lists_1p_2p_3o_04302013

  12. updated_supplemental_lists_1p_2p_3o_04302013.xlsx | Department of Energy

    Energy Savers [EERE]

    p_2p_3o_04302013.xlsx updated_supplemental_lists_1p_2p_3o_04302013.xlsx File updated_supplemental_lists_1p_2p_3o_04302013.xlsx More Documents & Publications updated_supplemental_lists_1n-2n-3m_07-06-2012.xlsx updated_supplemental_lists_1m-2m-3l-04-05-2012.xlsx updated_supplemental_lists_1j-2j-3i_12-22-2011

  13. EVMS Training Snippet: 1.4 EVMS Stage 2 Surveillance

    Broader source: Energy.gov [DOE]

    This EVMS Training Snippet sponsored by the Office of Project Management (PM) covers PM’s approach to EVMS Stage 2 Surveillance.

  14. FIGS-1&2.CHP:Corel VENTURA

    Gasoline and Diesel Fuel Update (EIA)

    Jet Fuel Source: Energy Information Administration, Petroleum Supply Monthly, Table S1. See Summary Statistics Table and Figure Sources. Source: Energy Information...

  15. NREL: Resource Assessment and Forecasting - Data and Resources

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

    Data and Resources National Solar Radiation Database NREL resource assessment and forecasting research information is available from the following sources. Renewable Resource Data Center (RReDC) Provides information about biomass, geothermal, solar, and wind energy resources. Measurement and Instrumentation Data Center Provides irradiance and meteorological data from stations throughout the United States. Baseline Measurement System (BMS) Provides live solar radiation data from approximately 70

  16. NREL: Energy Analysis - Energy Forecasting and Modeling Staff

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

    Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Elizabeth Torres Clayton Barrows Dave Bielen Aaron Bloom Greg Brinkman Brian W Bush Stuart Cohen Wesley Cole Paul Denholm Nicholas DiOrio Aron Dobos Kelly Eurek Janine Freeman Bethany Frew Pieter Gagnon Elaine Hale

  17. Forecast of transportation energy demand through the year 2010

    SciTech Connect (OSTI)

    Mintz, M.M.; Vyas, A.D.

    1991-04-01

    Since 1979, the Center for Transportation Research (CTR) at Argonne National Laboratory (ANL) has produced baseline projections of US transportation activity and energy demand. These projections and the methodologies used to compute them are documented in a series of reports and research papers. As the lastest in this series of projections, this report documents the assumptions, methodologies, and results of the most recent projection -- termed ANL-90N -- and compares those results with other forecasts from the current literature, as well as with the selection of earlier Argonne forecasts. This current forecast may be used as a baseline against which to analyze trends and evaluate existing and proposed energy conservation programs and as an illustration of how the Transportation Energy and Emission Modeling System (TEEMS) works. (TEEMS links disaggregate models to produce an aggregate forecast of transportation activity, energy use, and emissions). This report and the projections it contains were developed for the US Department of Energy's Office of Transportation Technologies (OTT). The projections are not completely comprehensive. Time and modeling effort have been focused on the major energy consumers -- automobiles, trucks, commercial aircraft, rail and waterborne freight carriers, and pipelines. Because buses, rail passengers services, and general aviation consume relatively little energy, they are projected in the aggregate, as other'' modes, and used primarily as scaling factors. These projections are also limited to direct energy consumption. Projections of indirect energy consumption, such as energy consumed in vehicle and equipment manufacturing, infrastructure, fuel refining, etc., were judged outside the scope of this effort. The document is organized into two complementary sections -- one discussing passenger transportation modes, and the other discussing freight transportation modes. 99 refs., 10 figs., 43 tabs.

  18. Fermi surfaces and Phase Stability of Ba(Fe1-xMx))2As2 (M=Co...

    Office of Scientific and Technical Information (OSTI)

    Fermi surfaces and Phase Stability of Ba(Fe1-xMx))2As2 (MCo, Ni, Cu, Zn) Citation Details In-Document Search Title: Fermi surfaces and Phase Stability of Ba(Fe1-xMx))2As2 (MCo,...

  19. Fermi surfaces and phase stability of Ba(Fe1-xMx)2As2 (M = Co...

    Office of Scientific and Technical Information (OSTI)

    Fermi surfaces and phase stability of Ba(Fe1-xMx)2As2 (M Co,Ni,Cu,Zn) Citation Details In-Document Search Title: Fermi surfaces and phase stability of Ba(Fe1-xMx)2As2 (M ...

  20. Microsoft Word - 2Q10Web Rev 1, 10-25-10.docm

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

    Chloride Cl - 1.71E+02 2.49E+02 Fluoride F - 1.13E+02 2.39E+02 Hydroxide OH - ... <1.10E+00 Iron Fe 1.85E+02 1.85E+02 Lithium Li <1.64E+00 <1.64E+00 Manganese Mg ...

  1. Measurement of the 3s1/2-3p3/2 resonance line of sodiumlike Eu52+

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

    Trbert, E.; Beiersdorfer, P.; Hell, N.; Brown, G. V.

    2015-08-20

    We have measured the 3s1/2-3p3/2 transition in sodiumlike Eu52+ situated at 41.232 with an uncertainty of 73 ppm. Our measurement extends previous high-precision measurements into the 561/2-3p3/2 and 3p1/2-3d3/2 transitions in the neighboring magnesiumlike, aluminumlike, and siliconlike europium ions.

  2. Towards a Science of Tumor Forecast for Clinical Oncology

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

    Yankeelov, Tom; Quaranta, Vito; Evans, Katherine J; Rericha, Erin

    2015-01-01

    We propose that the quantitative cancer biology community make a concerted effort to apply the methods of weather forecasting to develop an analogous theory for predicting tumor growth and treatment response. Currently, the time course of response is not predicted, but rather assessed post hoc by physical exam or imaging methods. This fundamental limitation of clinical oncology makes it extraordinarily difficult to select an optimal treatment regimen for a particular tumor of an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoplymore » of molecularly targeted therapies is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. With a successful theory of tumor forecasting, it should be possible to integrate large tumor specific datasets of varied types, and effectively defeat cancer one patient at a time.« less

  3. Towards a Science of Tumor Forecast for Clinical Oncology

    SciTech Connect (OSTI)

    Yankeelov, Tom; Quaranta, Vito; Evans, Katherine J; Rericha, Erin

    2015-01-01

    We propose that the quantitative cancer biology community make a concerted effort to apply the methods of weather forecasting to develop an analogous theory for predicting tumor growth and treatment response. Currently, the time course of response is not predicted, but rather assessed post hoc by physical exam or imaging methods. This fundamental limitation of clinical oncology makes it extraordinarily difficult to select an optimal treatment regimen for a particular tumor of an individual patient, as well as to determine in real time whether the choice was in fact appropriate. This is especially frustrating at a time when a panoply of molecularly targeted therapies is available, and precision genetic or proteomic analyses of tumors are an established reality. By learning from the methods of weather and climate modeling, we submit that the forecasting power of biophysical and biomathematical modeling can be harnessed to hasten the arrival of a field of predictive oncology. With a successful theory of tumor forecasting, it should be possible to integrate large tumor specific datasets of varied types, and effectively defeat cancer one patient at a time.

  4. Assessment of the possibility of forecasting future natural gas curtailments

    SciTech Connect (OSTI)

    Lemont, S.

    1980-01-01

    This study provides a preliminary assessment of the potential for determining probabilities of future natural-gas-supply interruptions by combining long-range weather forecasts and natural-gas supply/demand projections. An illustrative example which measures the probability of occurrence of heating-season natural-gas curtailments for industrial users in the southeastern US is analyzed. Based on the information on existing long-range weather forecasting techniques and natural gas supply/demand projections enumerated above, especially the high uncertainties involved in weather forecasting and the unavailability of adequate, reliable natural-gas projections that take account of seasonal weather variations and uncertainties in the nation's energy-economic system, it must be concluded that there is little possibility, at the present time, of combining the two to yield useful, believable probabilities of heating-season gas curtailments in a form useful for corporate and government decision makers and planners. Possible remedial actions are suggested that might render such data more useful for the desired purpose in the future. The task may simply require the adequate incorporation of uncertainty and seasonal weather trends into modeling systems and the courage to report projected data, so that realistic natural gas supply/demand scenarios and the probabilities of their occurrence will be available to decision makers during a time when such information is greatly needed.

  5. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    0 0 0 0 576 128 RBOB for Blending with Ether 0 0 0 0 0 0 120 0 RBOB for Blending with Alcohol 22 26 0 24 0 0 394 0 Conventional 0 315 0 0 1,359 0 1,718 495 CBOB for Blending with...

  6. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    0 0 0 576 131 RBOB for Blending with Ether 0 0 0 0 0 0 0 120 0 RBOB for Blending with Alcohol 22 26 0 24 0 0 0 3,617 31,128 Conventional 105 315 0 615 1,359 0 0 1,962 17,808 CBOB...

  7. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    2005 (Thousand Barrels) East Coast Appalachian No. 1 Total IN, IL, KY MN, WI, ND, SD OK, KS, MO Total Total Net Input 199,173 1,285 200,458 117,409 24,041 20,032 161,482...

  8. 11,23,1,3,2,19,30,"BANGOR HYDRO ELECTRIC CO","MEDWAY",0,"LIGHT...

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

    ...914,1,05336,"NG","GT" 31,39,5,2,2,605,1,"HAMILTON (CITY OF)","HAM MUN EL",0,"LIGHT ...17,1,07977,"FO2","ST" 31,39,5,2,6,605,1,"HAMILTON (CITY OF)","HAM MUN EL",0,"BIT ...

  9. 11,23,1,3,2,19,30,"BANGOR HYDRO ELECTRIC CO","MEDWAY",0,"LIGHT...

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

    ... 31,39,5,2,2,605,1,"HAMILTON (CITY OF)","HAM MUN EL",0,"LIGHT OIL",51225,0,"M",1299,,,2000,74,155,1e+15,2917,1,07977,"FO2","ST" 31,39,5,2,6,605,1,"HAMILTON (CITY OF)","HAM MUN ...

  10. FINAL_DOE_OGPVer1-2b_07July2010.pdf | Department of Energy

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

    -2b_07July2010.pdf FINAL_DOE_OGPVer1-2b_07July2010.pdf PDF icon FINAL_DOE_OGPVer1-2b_07July2010.pdf More Documents & Publications FINAL_DOE_OGPVer1_2_24Jun2010.pdf Open Government Plan 1.0 FY 2010 E-Government Act Report

  11. FINAL_DOE_OGPVer1_2_24Jun2010.pdf | Department of Energy

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

    _2_24Jun2010.pdf FINAL_DOE_OGPVer1_2_24Jun2010.pdf PDF icon FINAL_DOE_OGPVer1_2_24Jun2010.pdf More Documents & Publications FINAL_DOE_OGPVer1-2b_07July2010.pdf Open Government Plan 1.0 Federal Building Metering Implementation Plan Template

  12. CASL Plan of Record 2 (1/11-6/11)

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

    CASL-U-2013-0105-000 Operational Reactor Model Demonstration with VERA: Watts Bar Unit 1 Cycle 1 Zero Power Physics Tests Jess C Gehin, ORNL Andrew T Godfrey, ORNL Fausto Franceschini, Westinghouse Advanced Modeling Applications Thomas M Evans, ORNL Benjamin S Collins, UM Steven P Hamilton, ORNL Radiation Transport Methods Revision 1 August 23, 2013 CASL-U-2013-0105-001 Operational Reactor Model Demonstration with VERA CASL-U-2013-0105-001 i Consortium for Advanced Simulation of LWRs Oak Ridge

  13. CASL Plan of Record 2 (1/11-6/11)

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

    EPRI Test Stand Report Results and Feedback from the EPRI Test Stand Brenden Mervin, EPRI Martin Pytel, EPRI Dennis Hussey, EPRI Stephen Hess, EPRI 1 August 2014 CASL-U-2014-0121-000 CASL-U-2014-0121-000-a -a Please complete sections appropriate for this record. REVISION LOG Revision Date Affected Pages Revision Description 0 8/1/2014 All Original Report 1 12/17/2014 REVISION LOG Changed control entries from TBD to N/A to approve for public release Document pages that are: Export Controlled

  14. 3-hydroxy-2(1H)-pyridinone chelating agents

    DOE Patents [OSTI]

    Raymond, K.; Xu, J.

    1999-04-06

    Disclosed is a series of improved chelating agents and the chelates formed from these agents, which are highly effective upon both injection and oral administration. Several of the most effective are of low toxicity. These chelating agents incorporate within their structure 3-hydroxy-2-pyridinone (3,2-HOPO) moieties with a substituted carbamoyl group ortho to the hydroxy group of the hydroxypyridinone ring. The electron-withdrawing carbamoyl group increases the acidity, as well as the chemical stability towards oxidation and reduction, of the hydroxypyridinones. In the metal complexes of the chelating agents, the amide protons form very strong hydrogen bonds with the adjacent HOPO oxygen donor, making these complexes very stable at physiological conditions. The terminal N-substituents provide a certain degree of lipophilicity to the 3,2-HOPO, increasing oral activity. 2 figs.

  15. From PADD 1 to PADD 2 Movements by Pipeline

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

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History Crude Oil and Petroleum Products 12,645 13,446 13,070 11,827 13,128 11,470 1986-2016 Crude Oil 121 152 113 126 115 90 1986-2016 Petroleum Products 12,524 13,294 12,957 11,701 13,013 11,380 1986-2016 Pentanes Plus 11 10 10 11 10 10 2009-2016 Liquefied Petroleum Gases 2,828 2,956 3,262 3,331 3,947 3,528 1986-2016 Ethane/Ethylene 2,766 2,893 3,200 3,269 3,884 3,465 2013-2016 Propane/Propylene 44 45 44 44 45 45 2005-2016 Isobutane/Isobutylene 13

  16. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    - - - - - 14 - - - Natural Gas Liquids and LRGs 298 105 110 47 - -5 118 14 433 Pentanes Plus 33 - 1 25 - 0 48 4 7 Liquefied Petroleum Gases 265 105 109 22 - -4 70 9 426 Ethane...

  17. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    Refinery and Blender Net Production of Finished Petroleum Products by PAD and Refining Districts, 2005 (Thousand Barrels) East Coast Appalachian No. 1 Total IN, IL, KY MN, WI, ND,...

  18. PSA Vol 1 Tables Revised Ver 2 Print.xls

    Gasoline and Diesel Fuel Update (EIA)

    741 317 245 1,303 IsobutaneIsobutylene 206 7 213 155 55 184 394 Other HydrocarbonsHydrogenOxygenates 512 0 512 29 18 0 47 Other HydrocarbonsHydrogen 0 0 0 28 0 0 28...

  19. Draft - DOE G 410.2-1, Nuclear Material Disposition

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    This document provides a roadmap for implementing the requirements for disposition of nuclear material as outlined in the U.S. Department of Energy (DOE) Order 410.2, Management of Nuclear Materials, and DOE Order 474.2, Nuclear Material Control and Accountability. This Guide provides the basic framework for the nuclear material disposition process, includes information related to the Programmatic Value Determination (PVD) process, and identifies Discard Limits (DL) for specific low-equity nuclear materials.

  20. Microsoft Word - Attachment 1 DICCE2 Statement of Work

    National Nuclear Security Administration (NNSA)

    Attachment 1 DE-SOL-0008449 1. OBJECTIVE The objective of this procurement is to install integrated sustainable radiation detection equipment at selected international land border crossings, airports, feeder ports and seaports in cooperation with international partners around the world in order to strengthen the overall capability of partner countries to deter, detect, and interdict illicit trafficking in special nuclear and other radiological materials. The focus is on the integration

  1. FMC Appendix 1 June 2013

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

    Financial Overview for FY 2013 through May 31, 2013 Agency * Agency Adjusted Net Revenue through May is 110 million, which exceeds the 2nd quarter forecast. o The 2nd...

  2. 3-hydroxy-2(1H)-pyridinone chelating agents

    DOE Patents [OSTI]

    Raymond, Kenneth; Xu, Jide

    1999-01-01

    Disclosed is a series of improved chelating agents and the chelates formed from these agents, which are highly effective upon both injection and oral administration. Several of the most effective are of low toxicity. These chelating agents incorporate within their structure 3-hydroxy-2-pyridinone (3,2-HOPO) moieties with a substituted carbamoyl group ortho to the hydroxy group of the hydroxypyridinone ring. The electron-withdrawing carbamoyl group increases the acidity, as well as the chemical stability towards oxidation and reduction, of the hydroxypyridinones. In the metal complexes of the chelating agents, the amide protons form very strong hydrogen bonds with the adjacent HOPO oxygen donor, making these complexes very stable at physiological conditions. The terminal N-substituents provide a certain degree of lipophilicity to the 3,2-HOPO, increasing oral activity.

  3. Certification for DOE O 484.1 Admin Chg 2

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2015-01-15

    DOE O 484.1, Reimbursable Work for the Department of Homeland Security, has been reviewed by the office of Acquisition and Project Management and deemed to be in compliance with related Departmental Directives, Secretarial Delegations, organizational structure, budget guidelines, regulations, standards, OMB guidance, relevant memoranda of understanding and public laws. In addition, this directive is not found to cause undue burden (i.e., significant cost impacts, overly prescriptive, redundancy, or excessive reporting requirements) on Departmental elements and contractors. Certified 1/15/2015.

  4. Microsoft Word - Enclosure 1_Cover Page_2 pages

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

    Carl sbad, New Mexico 88221 Mt,Y I 2016 Mr. John E. Kieling, Bureau Chief Hazardous Waste Bureau New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, NM 87508-6303 Subject: Certificate of Completion for Settlement Agreement and Stipulated Final Order No. HWB-1 4-21 (Agreement) Supplement Environmental Projects Paragraph 35 Reference: The Settlement Agreement and Stipulated Final Order No. HWB-14-21 (CO) January 22, 2016 Dear Mr. Kieling: The purpose of this letter

  5. 1

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

    1). Correspondingly, the absolute nadir radiance I( 5 ) at m 14 is 15.7 (radiance dimension is Wm -2 sr -1 m -1 ). This value I( 5 ) 15.7 was used here as a threshold...

  6. D. R atner,1* R. Abela,2 J. A m ann...

    Office of Scientific and Technical Information (OSTI)

    L A C -P U B -1 6 2 1 4 E x p e rim en ta l d e m o n str a tio n o f a soft x-ray self-seed ed free-electro n laser D. R atner,1* R. Abela,2 J. A m ann,1 C. Behrens,1 D. Bohler,1 ...

  7. 2

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

    3 grid of points (2) (1) (3) 2 2 2 2 2 FEAP FEAP FEAP FEAP FEAP FEAP FEAP FEAP FEAP Prometheus ParMetis METIS METIS METIS METIS METIS METIS METIS METIS Prometheus . . . . PETSc...

  8. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    14,213 14,346 47,564 2,344 21,862 100,329 Tank Farms and Pipelines (Includes Cushing, OK) 762 54,265 111,331 10,723 23,497 200,578 Cushing, Oklahoma - 21,777 - - - - Leases 44...

  9. Acquisition Guide Chapter 1.2 - Balanced Scorecard Performance Assessment

    Energy Savers [EERE]

    Guide - - - -- - - - -- - - - -- - - -- -- - -- - - - -- - - - - - - - - - - - - - - - - - - - - C h a p t e r 1.4 (September 2015) Source Evaluation Board (SEB) Secretariat and Knowledge Manager REFERENCES Guiding Principles ~ Establishment of a SEB Secretariat and Knowledge Management position will improve both the Department' s procurement system and its management of knowledge attained by the Department' s procurement personnel. Department of Energy (DOE) report on "Report on

  10. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    2005 (Thousand Barrels) East Coast Appalachian No. 1 Total IN, IL, KY MN, WI, ND, SD OK, KS, MO Total Natural Gas Liquids 359 5,914 6,273 26,874 4,786 77,174 108,834 Pentanes...

  11. PSA Vol 1 Tables Revised Ver 2 Print.xls

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

    95 Liquefied Petroleum Gases 14,528 24,908 905 0 - -17 14,218 6,684 19,456 3,094 EthaneEthylene 44 0 0 0 - -1 0 0 45 0 PropanePropylene 4,842 20,540 672 0 - 130 0 5,589 20,335...

  12. Measurement of the 3s1/2-3p3/2 resonance line of sodiumlike Eu52+

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

    Träbert, E.; Beiersdorfer, P.; Hell, N.; Brown, G. V.

    2015-08-20

    We have measured the 3s1/2-3p3/2 transition in sodiumlike Eu52+ situated at 41.232 Å with an uncertainty of 73 ppm. Our measurement extends previous high-precision measurements into the 56< Z< 78 range of atomic numbers. We also present measurements of 3s1/2-3p3/2 and 3p1/2-3d3/2 transitions in the neighboring magnesiumlike, aluminumlike, and siliconlike europium ions.

  13. CASL Plan of Record 2 (1/11-6/11)

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

    VERA Core Physics Benchmark Progression Problem Specifications Revision 2 March 29, 2013 Andrew T. Godfrey Advanced Modeling Applications Oak Ridge National Laboratory A. Godfrey, VERA Core Physics Benchmark Progression Problem Specifications, CASL Technical Report: CASL-U-2012-0131-002 VERA Core Physics Benchmark Problems CASL-U-2012-0131-002 i Consortium for Advanced Simulation of LWRs This report was prepared as an account of work sponsored by an agency of the United States government.

  14. Integral charged particle nuclear date bibliography. Editon 1, Supplement 2

    SciTech Connect (OSTI)

    Holden, N.E.; Ramavataram, S.; Dunford, C.L.

    1986-04-01

    This bibliography is divided into three sections, ''References'', ''Target Index'', and ''Residual Index.'' The ''References'' section contains all references satisfying the following criteria: excitation functions, thick targets, or product yield leading to the formation of a ground or metastable state; the atomic mass and charge of the incident particle must be greater than or equal to 1; the atomic mass of the target must be greater than or equal to 1; and the atomic masses of the outgoing and residual nuclei must be greater than or equal to 1 with the exception of processes which do not lead to a definite residual nucleus and of gamma-ray production cross sections. The ''Target Index'' section contains the incident particle energy and the abbreviated reference lines for all the entries, which contain information on a definite target nucleus and reaction. These reference lines contain the Journal name, followed by the volume and page number. The ''Residual Index'' section also contains the incident particle energy and the abbreviated reference lines for all the entries, which contain information on a definite residual nucleus and a definite target-reaction.

  15. 1

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

    Variations of Ozonosphere: Physical Model and Forecast into XXI Century V. V. Zuev Institute of Atmospheric Optics Russian Academy of Sciences Tomsk, Russia Introduction Because of its ability to effectively absorb the shortwave portion of solar ultraviolet (UV) radiation, ozonosphere plays an important role in determining the radiation budget of the atmosphere. Therefore, general circulation model (GCM) predictions of climate change cannot be made correctly without adequate treatment of real

  16. 1

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

    the Shortwave Radiative Transfer Model, RRTMG_SW, to the National Center for Atmospheric Research and National Centers for Environmental Prediction General Circulation Models M.J. Iacono, E.J. Mlawer, J.S. Delamere, and S.A. Clough Atmospheric and Environmental Research, Inc. Lexington, Massachusetts J.-J. Morcrette European Centre for Medium-Range Weather Forecasts Reading, United Kingdom Y.-T. Hou National Centers for Environmental Prediction Camp Springs, Maryland Introduction The

  17. 1

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

    Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model W. O'Hirok and P. Ricchiazzi Institute for Computational Earth System Science University of California Santa Barbara, California C. Gautier Department of Geography and Institute for Computational Earth System Science University of California Santa Barbara, California Introduction A principal goal of the Atmospheric Radiation Measurement (ARM) Program is to understand the 3D cloud-radiation problem

  18. 1

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

    Simulations of Clouds and Sensitivity Study by Wearther Research and Forecast Model for Atmospheric Radiation Measurement Case 4 Jingbo Wu and Minghua Zhang Institute for Terrestrial and Planetary Atmospheres Stony Brook University Stony Brook, New York Introduction One of the large errors in general circulation models (GCMs) cloud simulations is from the mid-latitude, synoptic-scale frontal cloud systems (Zhang et al. 2004; Lin and Zhang 2004). Now, with the availability of the cloud

  19. 1

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

    Weather and Forecasting During Mixed-Phase Arctic Cloud Experiment V.T. Yannuzzi, E. Clothiaux, H. Verlinde, and J. Harrington Department of Meteorology Pennsylvania State University Mont Alto, Pennsylvania Introduction and Important Events Prior to Mixed-Phase Arctic Cloud Experiment The Mixed-Phase Arctic Cloud Experiment (MPACE) was conducted across the North Slope of Alaska (NSA) during September 27-October 22, 2004. The experiment was funded by the Department of Energy (DOE)-Atmospheric

  20. 1

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

    the Aerosol Indirect Effect During the Atmospheric Radiation Measurement Program's March 2003 Aerosol Intensive Operational Period at the Southern Great Plains: Sensitivity Tests H. Guo and JE Penner Department of Atmospheric, Oceanic, and Space Sciences University of Michigan Ann Arbor, Michigan Introduction Clouds and their related physical processes present perhaps the most complicated and perplexing problems in the study of climate change and weather forecasting (Stephens 2005). One