National Library of Energy BETA

Sample records for maximum impacts predicted

  1. Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted...

    Office of Environmental Management (EM)

    PRIME Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME Docket No. EO-05-01: Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by...

  2. Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted...

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

    5, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 5, 1, 2 SO2 Case Docket No. EO-05-01: Mirant Potomac, Alexandria, Virginia:...

  3. Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted...

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

    Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 3, 1, 2 SO2 Case. Compliance based on highest, second-highest, short-term, and highest annual...

  4. Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted...

    Office of Environmental Management (EM)

    4, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 4, 1, 2 SO2 Case Docket No. EO-05-01: Mirant Potomac, Alexandria, Virginia:...

  5. Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

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

    AERMOD-PRIME | Department of Energy PRIME Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME Docket No. EO-05-01: Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Compliance based on highest, second-highest, short-term, and highest annual concentrations. PDF icon Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME

  6. Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

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

    AERMOD-PRIME, Units 3, 1, 2 SO2 Case | Department of Energy PRIME, Units 3, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 3, 1, 2 SO2 Case Docket No. EO-05-01: Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 3, 1, 2 SO2 Case. Compliance based on highest, second-highest, short-term, and highest annual concentrations. PDF icon Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

  7. Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

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

    AERMOD-PRIME, Units 4, 1, 2 SO2 Case | Department of Energy 4, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 4, 1, 2 SO2 Case Docket No. EO-05-01: Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 4, 1, 2 SO2 Case. Compliance based on highest, second-highest, short-term, and highest annual concentrations. PDF icon Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units

  8. Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by

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

    AERMOD-PRIME, Units 5, 1, 2 SO2 Case | Department of Energy 5, 1, 2 SO2 Case Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 5, 1, 2 SO2 Case Docket No. EO-05-01: Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units 5, 1, 2 SO2 Case. Compliance based on highest, second-highest, short-term, and highest annual concentrations. PDF icon Mirant Potomac, Alexandria, Virginia: Maximum Impacts Predicted by AERMOD-PRIME, Units

  9. EERE Takes Important Steps to Ensure Maximum Impact of Technology Program

    Office of Environmental Management (EM)

    Investments | Department of Energy Takes Important Steps to Ensure Maximum Impact of Technology Program Investments EERE Takes Important Steps to Ensure Maximum Impact of Technology Program Investments November 20, 2014 - 6:06pm Addthis Tracking impact of EERE’s investments in wind, solar and other programs is essential to achieve maximum return for taxpayer investment. | Photos courtesy of the National Renewable Energy Laboratory Tracking impact of EERE's investments in wind, solar and

  10. The Impact of Using Derived Fuel Consumption Maps to Predict...

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

    The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption Poster presented at the...

  11. A Workshop to Identify Research Needs and Impacts in Predictive...

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

    A Workshop to Identify Research Needs and Impacts in Predictive Simulation for Internal Combustion Engines (PreSICE) A Workshop to Identify Research Needs and Impacts in Predictive...

  12. Potential Impact of Adopting Maximum Technologies as Minimum Efficiency Performance Standards in the U.S. Residential Sector

    SciTech Connect (OSTI)

    Letschert, Virginie; Desroches, Louis-Benoit; McNeil, Michael; Saheb, Yamina

    2010-05-03

    The US Department of Energy (US DOE) has placed lighting and appliance standards at a very high priority of the U.S. energy policy. However, the maximum energy savings and CO2 emissions reduction achievable via minimum efficiency performance standards (MEPS) has not yet been fully characterized. The Bottom Up Energy Analysis System (BUENAS), first developed in 2007, is a global, generic, and modular tool designed to provide policy makers with estimates of potential impacts resulting from MEPS for a variety of products, at the international and/or regional level. Using the BUENAS framework, we estimated potential national energy savings and CO2 emissions mitigation in the US residential sector that would result from the most aggressive policy foreseeable: standards effective in 2014 set at the current maximum technology (Max Tech) available on the market. This represents the most likely characterization of what can be maximally achieved through MEPS in the US. The authors rely on the latest Technical Support Documents and Analytical Tools published by the U.S. Department of Energy as a source to determine appliance stock turnover and projected efficiency scenarios of what would occur in the absence of policy. In our analysis, national impacts are determined for the following end uses: lighting, television, refrigerator-freezers, central air conditioning, room air conditioning, residential furnaces, and water heating. The analyzed end uses cover approximately 65percent of site energy consumption in the residential sector (50percent of the electricity consumption and 80percent of the natural gas and LPG consumption). This paper uses this BUENAS methodology to calculate that energy savings from Max Tech for the U.S. residential sector products covered in this paper will reach an 18percent reduction in electricity demand compared to the base case and 11percent in Natural Gas and LPG consumption by 2030 The methodology results in reductions in CO2 emissions of a similar magnitude.

  13. EIS-0158: Supplemental Environmental Impact Statement to the 1979 Petroleum Production at Maximum Efficient Rate, Naval Petroleum Reserve No. 1(Elk Hills), Kern County, California (1993)

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy developed this EIS to assess the potential environmental impacts of the continued operation of the Naval Petroleum Reserve No. 1 at the Maximum Efficient Rate authorized by Public Law 94-258. This EIS supplements DOE/EIS-0012.

  14. Predicted Impact of Idling Reduction Options for Heavy-Duty Diesel...

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

    Predicted Impact of Idling Reduction Options for Heavy-Duty Diesel Trucks: A Comparison of Full-Fuel-Cycle Emissions, Energy Use, and Proximity to Urban Populations in Five States...

  15. Predicting the Impact of Failure Avoidance on Checkpoint/Restart in

    Office of Scientific and Technical Information (OSTI)

    Extreme-Scale Systems. (Conference) | SciTech Connect Predicting the Impact of Failure Avoidance on Checkpoint/Restart in Extreme-Scale Systems. Citation Details In-Document Search Title: Predicting the Impact of Failure Avoidance on Checkpoint/Restart in Extreme-Scale Systems. Abstract not provided. Authors: Levy, Scott N. ; Ferreira, Kurt Brian ; Bridges, Patrick Publication Date: 2013-11-01 OSTI Identifier: 1118703 Report Number(s): SAND2013-9701C 481835 DOE Contract Number:

  16. The Effect of the Contact Model on Predicting Impact-Vibration Response.

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Conference: The Effect of the Contact Model on Predicting Impact-Vibration Response. Citation Details In-Document Search Title: The Effect of the Contact Model on Predicting Impact-Vibration Response. Authors: Brake, Matthew Robert Publication Date: 2012-06-01 OSTI Identifier: 1064253 Report Number(s): SAND2012-5215C DOE Contract Number: AC04-94AL85000 Resource Type: Conference Resource Relation: Conference: Proposed for presentation at the ASME 2012

  17. A Workshop to Identify Research Needs and Impacts in Predictive Simulation

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

    for Internal Combustion Engines (PreSICE) | Department of Energy A Workshop to Identify Research Needs and Impacts in Predictive Simulation for Internal Combustion Engines (PreSICE) A Workshop to Identify Research Needs and Impacts in Predictive Simulation for Internal Combustion Engines (PreSICE) PDF icon presice_rpt.pdf More Documents & Publications Overview of the DOE Advanced Combustion Engine R&D Vehicle Technologies Office Merit Review 2014: Overview of the DOE Advanced

  18. Petroleum production at Maximum Efficient Rate Naval Petroleum Reserve No. 1 (Elk Hills), Kern County, California. Final Supplemental Environmental Impact Statement

    SciTech Connect (OSTI)

    Not Available

    1993-07-01

    This document provides an analysis of the potential impacts associated with the proposed action, which is continued operation of Naval Petroleum Reserve No. I (NPR-1) at the Maximum Efficient Rate (MER) as authorized by Public law 94-258, the Naval Petroleum Reserves Production Act of 1976 (Act). The document also provides a similar analysis of alternatives to the proposed action, which also involve continued operations, but under lower development scenarios and lower rates of production. NPR-1 is a large oil and gas field jointly owned and operated by the federal government and Chevron U.SA Inc. (CUSA) pursuant to a Unit Plan Contract that became effective in 1944; the government`s interest is approximately 78% and CUSA`s interest is approximately 22%. The government`s interest is under the jurisdiction of the United States Department of Energy (DOE). The facility is approximately 17,409 acres (74 square miles), and it is located in Kern County, California, about 25 miles southwest of Bakersfield and 100 miles north of Los Angeles in the south central portion of the state. The environmental analysis presented herein is a supplement to the NPR-1 Final Environmental Impact Statement of that was issued by DOE in 1979 (1979 EIS). As such, this document is a Supplemental Environmental Impact Statement (SEIS).

  19. Impact of heterogeneous chemistry on model predictions of ozone changes

    SciTech Connect (OSTI)

    Granier, C.; Brasseur, G. )

    1992-11-20

    A two-dimensional chemical/transport model of the middle atmosphere is used to assess the importance of chemical heterogeneous processes in the polar regions (on polar stratospheric clouds (PSCs)) and at other latitudes (on sulfate aerosols). When conversion on type I and type II PSCs of N[sub 2]O[sub 5] into HNO[sub 3] and of CIONO[sub 2] into reactive forms of chlorine is taken into account, enhanced CIO concentrations lead to the formation of a springtime ozone hole over the Antarctic continent; no such major reduction in the ozone column is found in the Arctic region. When conversion of nitrogen and chlorine compounds is assumed to occur on sulfate particles in the lower stratosphere, significant perturbations in the chemistry are also found. For background aerosol conditions, the concentration of nitric acid is enhanced and agrees with observed values, while that of nitrogen oxides is reduced and agrees less than if heterogeneous processes are ignored in the calculations. The concentration of the OH radical is significantly increased. Ozone number density appears to become larger between 16 and 30 km but smaller below 16 km, especially at high latitudes. The ozone column is only slightly modified, except at high latitudes where it is substantially reduced if the CIONO[sub 2] conversion into reactive chlorine is considered. After a large volcanic eruption these changes are further exacerbated. The ozone budget in the lower stratrosphere becomes less affected by nitrogen oxides but is largely controlled by the CIO[sub x] and HO[sub x] chemistries. A substantial decrease in the ozone column is predicted as a result of the Pinatubo volcanic eruption, mostly in winter at middle and high latitudes. 62 refs., 18 figs., 3 tabs.

  20. Actual versus predicted impacts of three ethanol plants on aquatic and terrestrial resources

    SciTech Connect (OSTI)

    Eddlemon, G.K.; Webb, J.W.; Hunsaker, D.B. Jr.; Miller, R.L.

    1993-03-15

    To help reduce US dependence on imported petroleum, Congress passed the Energy Security Act of 1980 (public Law 96-294). This legislation authorized the US Department of Energy (DOE) to promote expansion of the fuel alcohol industry through, among other measures, its Alcohol Fuels Loan Guarantee Program. Under this program, selected proposals for the conversion of plant biomass into fuel-grade ethanol would be granted loan guarantees. of 57 applications submitted for loan guarantees to build and operate ethanol fuel projects under this program, 11 were considered by DOE to have the greatest potential for satisfying DOE`s requirements and goals. In accordance with the National Environmental Policy Act (NEPA), DOE evaluated the potential impacts of proceeding with the Loan Guarantee Program in a programmatic environmental assessment (DOE 1981) that resulted in a finding of no significant impact (FANCY) (47 Federal Register 34, p. 7483). The following year, DOE conducted site-specific environmental assessments (EAs) for 10 of the proposed projects. These F-As predicted no significant environmental impacts from these projects. Eventually, three ethanol fuel projects received loan guarantees and were actually built: the Tennol Energy Company (Tennol; DOE 1982a) facility near Jasper in southeastern Tennessee; the Agrifuels Refining Corporation (Agrifuels; DOE 1985) facility near New Liberia in southern Louisiana; and the New Energy Company of Indiana (NECI; DOE 1982b) facility in South Bend, Indiana. As part of a larger retrospective examination of a wide range of environmental effects of ethanol fuel plants, we compared the actual effects of the three completed plants on aquatic and terrestrial resources with the effects predicted in the NEPA EAs several years earlier. A secondary purpose was to determine: Why were there differences, if any, between actual effects and predictions? How can assessments be improved and impacts reduced?

  1. Predicted impacts from offshore produced water discharges on hypoxia in the Gulf of Mexico.

    SciTech Connect (OSTI)

    Bierman, V. J.; Hinz, S.C.; Justic, D.; Scavia, D.; Veil, J. A.; Satterlee, K.; Parker, M. E.; Wilson, S.; Environmental Science Division; LimnoTech.; Louisiana State Univ.; Univ of Michigan; Shell E&P Co.; Exxon Mobil Production Co.; U.S. EPA

    2008-06-01

    Summer hypoxia (dissolved oxygen < 2 mg/L) in the bottom waters of the northern Gulf of Mexico has received considerable scientific and policy attention because of potential ecological and economic impacts. This hypoxic zone forms off the Louisiana coast each summer and has increased from an average of 8,300 km{sup 2} in 1985-1992 to over 16,000 km{sup 2} in 1993-2001, reaching a record 22,000 km{sup 2} in 2002. The almost threefold increase in nitrogen load from the Mississippi River Basin (MRB) to the Gulf since the middle of the last century is the primary external driver for hypoxia. A goal of the 2001 Federal Action Plan is to reduce the 5-year running average size of the hypoxic zone to below 5,000 km{sup 2} by 2015. After the Action Plan was developed, a new question arose as to whether sources other than the MRB may also contribute significant quantities of oxygen-demanding substances. One very visible potential source is the hundreds of offshore oil and gas platforms located within or near the hypoxic zone, many of which discharge varying volumes of produced water. The objectives of this study were to assess the incremental impacts of produced water discharges on dissolved oxygen in the northern Gulf of Mexico, and to evaluate the significance of these discharges relative to loadings from the MRB. Predictive simulations were conducted with three existing models of Gulf hypoxia using produced water loads from an industry study. Scenarios were designed that addressed loading uncertainties, settleability of suspended constituents, and different assumptions on delivery locations for the produced water loads. Model results correspond to the incremental impacts of produced water loads, relative to the original model results, which included only loads from the MRB. The predicted incremental impacts of produced water loads on dissolved oxygen in the northern Gulf of Mexico from all three models were small. Even considering the predicted ranges between lower- and upper-bound results, these impacts are likely to be within the errors of measurement for bottomwater dissolved oxygen and hypoxic area at the spatial scale of the entire hypoxic zone.

  2. Impact of Pilot Light Modeling on the Predicted Annual Performance of Residential Gas Water Heaters: Preprint

    SciTech Connect (OSTI)

    Maguire, J.; Burch, J.

    2013-08-01

    Modeling residential water heaters with dynamic simulation models can provide accurate estimates of their annual energy consumption, if the units? characteristics and use conditions are known. Most gas storage water heaters (GSWHs) include a standing pilot light. It is generally assumed that the pilot light energy will help make up standby losses and have no impact on the predicted annual energy consumption. However, that is not always the case. The gas input rate and conversion efficiency of a pilot light for a GSWH were determined from laboratory data. The data were used in simulations of a typical GSWH with and without a pilot light, for two cases: 1) the GSWH is used alone; and 2) the GSWH is the second tank in a solar water heating (SWH) system. The sensitivity of wasted pilot light energy to annual hot water use, climate, and installation location was examined. The GSWH used alone in unconditioned space in a hot climate had a slight increase in energy consumption. The GSWH with a pilot light used as a backup to an SWH used up to 80% more auxiliary energy than one without in hot, sunny locations, from increased tank losses.

  3. A frictional work predictive method for the initiation of solid high explosives from low-pressure impacts

    SciTech Connect (OSTI)

    Chidester, S.K.; Green, L.G.; Lee, C.G.

    1993-07-01

    The goal of these tests was to provide information that would aid in the prediction of HE response in accident situations where the initiating stimulus was less than that required for direct shock initiation. Before these tests were run, a prediction of threshold impact velocity was made (70m/s) using a rough average of previously reported threshold factional work from skid tests (1 cal/cm{sub 2}) and the experimental value for coefficient of friction of 0.5({plus_minus}) measured in the same tests for PBX-9404. The actual testing proved the threshold impact velocity to be much less, and the pretest prediction was not only wrong, it was not conservative. This work presents a methodology for more accurately predicting the reaction threshold for HE involved in an accident such as an airplane crash or a severe land transportation accident. The main focus of this work is on LX-10-1 (94.5% 5.5% Viton A binder, density 1.86g/cm{sup 3}). Additional work was done on LX-17 (92.5% TATB, 7.5% KelF binder, density 1.90g/cm{sub 3}), a very insensitive explosive. The explicit two-dimensional finite element code, DYNA2D, was used to model the tests and predict the HE response. The finite element mesh of the projectile and target were generated using MAZE. The post-processing of the DYNA2D analysis was done with ORION.

  4. Maximum-likelihood

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

    Maximum-likelihood fitting of data dominated by Poisson statistical uncertainties M. R. Stoneking and D. J. Den Hartog Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706 ͑Presented on 15 May 1996͒ The fitting of data by ␹ 2 minimization is valid only when the uncertainties in the data are normally distributed. When analyzing spectroscopic or particle counting data at very low signal level ͑e.g., a Thomson scattering diagnostic͒, the uncertainties are

  5. Prediction of noise impacts by the proposed Vienna Unit No. 9

    SciTech Connect (OSTI)

    Cwiklewski, M.

    1980-02-01

    Noise predictions are presented for a proposed 600 MWE expansion of a power plant at Vienna, Maryland. Topics include ambient noise, continuous and non-continuous plant noise sources, propagation of noise to off-site areas, annoyance potential, compliance with state noise regulation, and predictions of traffic noise from the proposed rerouting of an adjacent highway.

  6. Predicting the impact from significant storm events on a hazardous waste site

    SciTech Connect (OSTI)

    Singh, U.P.; Dixon, N.P.; Mitchell, J.S.

    1994-12-31

    The Stringfellow Hazardous Waste Site is a former Class 1 industrial waste disposal facility located near the community of Glen Avon in southern California. In response to community concerns regarding flooding and possible exposure to contaminants via the surface water pathway, a study was performed to evaluate the potential effect significant/episodic storm events may have on the site and its engineered structures as they exist during present day conditions. Specific storm events such as significant recorded historic storms as well as synthetic design storms were considered and the impact on the onsite area and surface channels in Pyrite Canyon downstream of the site was evaluated. Conclusions were reached, and recommendations were made to minimize the potential flood impacts and exposure to contaminants via the surface water pathway in the areas downstream of the site.

  7. Reduced order models for prediction of groundwater quality impacts from CO₂ and brine leakage

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

    Zheng, Liange; Carroll, Susan; Bianchi, Marco; Mansoor, Kayyum; Sun, Yunwei; Birkholzer, Jens

    2014-12-31

    A careful assessment of the risk associated with geologic CO₂ storage is critical to the deployment of large-scale storage projects. A potential risk is the deterioration of groundwater quality caused by the leakage of CO₂ and brine leakage from deep subsurface reservoirs. In probabilistic risk assessment studies, numerical modeling is the primary tool employed to assess risk. However, the application of traditional numerical models to fully evaluate the impact of CO₂ leakage on groundwater can be computationally complex, demanding large processing times and resources, and involving large uncertainties. As an alternative, reduced order models (ROMs) can be used as highlymore » efficient surrogates for the complex process-based numerical models. In this study, we represent the complex hydrogeological and geochemical conditions in a heterogeneous aquifer and subsequent risk by developing and using two separate ROMs. The first ROM is derived from a model that accounts for the heterogeneous flow and transport conditions in the presence of complex leakage functions for CO₂ and brine. The second ROM is obtained from models that feature similar, but simplified flow and transport conditions, and allow for a more complex representation of all relevant geochemical reactions. To quantify possible impacts to groundwater aquifers, the basic risk metric is taken as the aquifer volume in which the water quality of the aquifer may be affected by an underlying CO₂ storage project. The integration of the two ROMs provides an estimate of the impacted aquifer volume taking into account uncertainties in flow, transport and chemical conditions. These two ROMs can be linked in a comprehensive system level model for quantitative risk assessment of the deep storage reservoir, wellbore leakage, and shallow aquifer impacts to assess the collective risk of CO₂ storage projects.« less

  8. Reduced order models for prediction of groundwater quality impacts from CO? and brine leakage

    SciTech Connect (OSTI)

    Zheng, Liange; Carroll, Susan; Bianchi, Marco; Mansoor, Kayyum; Sun, Yunwei; Birkholzer, Jens

    2014-12-31

    A careful assessment of the risk associated with geologic CO? storage is critical to the deployment of large-scale storage projects. A potential risk is the deterioration of groundwater quality caused by the leakage of CO? and brine leakage from deep subsurface reservoirs. In probabilistic risk assessment studies, numerical modeling is the primary tool employed to assess risk. However, the application of traditional numerical models to fully evaluate the impact of CO? leakage on groundwater can be computationally complex, demanding large processing times and resources, and involving large uncertainties. As an alternative, reduced order models (ROMs) can be used as highly efficient surrogates for the complex process-based numerical models. In this study, we represent the complex hydrogeological and geochemical conditions in a heterogeneous aquifer and subsequent risk by developing and using two separate ROMs. The first ROM is derived from a model that accounts for the heterogeneous flow and transport conditions in the presence of complex leakage functions for CO? and brine. The second ROM is obtained from models that feature similar, but simplified flow and transport conditions, and allow for a more complex representation of all relevant geochemical reactions. To quantify possible impacts to groundwater aquifers, the basic risk metric is taken as the aquifer volume in which the water quality of the aquifer may be affected by an underlying CO? storage project. The integration of the two ROMs provides an estimate of the impacted aquifer volume taking into account uncertainties in flow, transport and chemical conditions. These two ROMs can be linked in a comprehensive system level model for quantitative risk assessment of the deep storage reservoir, wellbore leakage, and shallow aquifer impacts to assess the collective risk of CO? storage projects.

  9. Removal to Maximum Extent Practical

    Broader source: Energy.gov [DOE]

    Summary Notes from 1 November 2007 Generic Technical Issue Discussion on Removal of Highly Radioactive Radionuclides/Key Radionuclides to the Maximum Extent Practical

  10. Predictive modeling of CO{sub 2} sequestration in deep saline sandstone reservoirs: Impacts of geochemical kinetics

    SciTech Connect (OSTI)

    Balashov, Victor N.; Guthrie, George D.; Hakala, J. Alexandra; Lopano, Christina L. J.; Rimstidt, Donald; Brantley, Susan L.

    2013-03-01

    One idea for mitigating the increase in fossil-fuel generated CO{sub 2} in the atmosphere is to inject CO{sub 2} into subsurface saline sandstone reservoirs. To decide whether to try such sequestration at a globally significant scale will require the ability to predict the fate of injected CO{sub 2}. Thus, models are needed to predict the rates and extents of subsurface rock-water-gas interactions. Several reactive transport models for CO{sub 2} sequestration created in the last decade predicted sequestration in sandstone reservoirs of ~17 to ~90 kg CO{sub 2} m{sup -3|. To build confidence in such models, a baseline problem including rock + water chemistry is proposed as the basis for future modeling so that both the models and the parameterizations can be compared systematically. In addition, a reactive diffusion model is used to investigate the fate of injected supercritical CO{sub 2} fluid in the proposed baseline reservoir + brine system. In the baseline problem, injected CO{sub 2} is redistributed from the supercritical (SC) free phase by dissolution into pore brine and by formation of carbonates in the sandstone. The numerical transport model incorporates a full kinetic description of mineral-water reactions under the assumption that transport is by diffusion only. Sensitivity tests were also run to understand which mineral kinetics reactions are important for CO{sub 2} trapping. The diffusion transport model shows that for the first ~20 years after CO{sub 2} diffusion initiates, CO{sub 2} is mostly consumed by dissolution into the brine to form CO{sub 2,aq} (solubility trapping). From 20-200 years, both solubility and mineral trapping are important as calcite precipitation is driven by dissolution of oligoclase. From 200 to 1000 years, mineral trapping is the most important sequestration mechanism, as smectite dissolves and calcite precipitates. Beyond 2000 years, most trapping is due to formation of aqueous HCO{sub 3}{sup -}. Ninety-seven percent of the maximum CO{sub 2} sequestration, 34.5 kg CO{sub 2} per m{sup 3} of sandstone, is attained by 4000 years even though the system does not achieve chemical equilibrium until ~25,000 years. This maximum represents about 20% CO{sub 2} dissolved as CO{sub 2},aq, 50% dissolved as HCO{sub 3}{sup -}{sub ,aq}, and 30% precipitated as calcite. The extent of sequestration as HCO{sub 3}{sup -} at equilibrium can be calculated from equilibrium thermodynamics and is roughly equivalent to the amount of Na+ in the initial sandstone in a soluble mineral (here, oligoclase). Similarly, the extent of trapping in calcite is determined by the amount of Ca2+ in the initial oligoclase and smectite. Sensitivity analyses show that the rate of CO{sub 2} sequestration is sensitive to the mineral-water reaction kinetic constants between approximately 10 and 4000 years. The sensitivity of CO{sub 2} sequestration to the rate constants decreases in magnitude respectively from oligoclase to albite to smectite.

  11. Satellite Collision Modeling with Physics-Based Hydrocodes: Debris Generation Predictions of the Iridium-Cosmos Collision Event and Other Impact Events

    SciTech Connect (OSTI)

    Springer, H K; Miller, W O; Levatin, J L; Pertica, A J; Olivier, S S

    2010-09-06

    Satellite collision debris poses risks to existing space assets and future space missions. Predictive models of debris generated from these hypervelocity collisions are critical for developing accurate space situational awareness tools and effective mitigation strategies. Hypervelocity collisions involve complex phenomenon that spans several time- and length-scales. We have developed a satellite collision debris modeling approach consisting of a Lagrangian hydrocode enriched with smooth particle hydrodynamics (SPH), advanced material failure models, detailed satellite mesh models, and massively parallel computers. These computational studies enable us to investigate the influence of satellite center-of-mass (CM) overlap and orientation, relative velocity, and material composition on the size, velocity, and material type distributions of collision debris. We have applied our debris modeling capability to the recent Iridium 33-Cosmos 2251 collision event. While the relative velocity was well understood in this event, the degree of satellite CM overlap and orientation was ill-defined. In our simulations, we varied the collision CM overlap and orientation of the satellites from nearly maximum overlap to partial overlap on the outermost extents of the satellites (i.e, solar panels and gravity boom). As expected, we found that with increased satellite overlap, the overall debris cloud mass and momentum (transfer) increases, the average debris size decreases, and the debris velocity increases. The largest predicted debris can also provide insight into which satellite components were further removed from the impact location. A significant fraction of the momentum transfer is imparted to the smallest debris (< 1-5mm, dependent on mesh resolution), especially in large CM overlap simulations. While the inclusion of the smallest debris is critical to enforcing mass and momentum conservation in hydrocode simulations, there seems to be relatively little interest in their disposition. Based on comparing our results to observations, it is unlikely that the Iridium 33-Cosmos 2251 collision event was a large mass-overlap collision. We also performed separate simulations studying the debris generated by the collision of 5 and 10 cm spherical projectiles on the Iridium 33 satellite at closing velocities of 5, 10, and 15 km/s. It is important to understand the vulnerability of satellites to small debris threats, given their pervasiveness in orbit. These studies can also be merged with probabilistic conjunction analysis to better understand the risk to space assets. In these computational studies, we found that momentum transfer, kinetic energy losses due to dissipative mechanisms (e.g., fracture), fragment number, and fragment velocity increases with increasing velocity for a fixed projectile size. For a fixed velocity, we found that the smaller projectile size more efficiently transfers momentum to the satellite. This latter point has an important implication: Eight (spaced) 5 cm debris objects can impart more momentum to the satellite, and likely cause more damage, than a single 10 cm debris object at the same velocity. Further studies are required to assess the satellite damage induced by 1-5 cm sized debris objects, as well as multiple debris objects, in this velocity range.

  12. Maximum Performance Group MPG | Open Energy Information

    Open Energy Info (EERE)

    Maximum Performance Group MPG Jump to: navigation, search Name: Maximum Performance Group (MPG) Place: College Point, New York Zip: 11356 Product: Technology based energy and asset...

  13. Impact of WRF Physics and Grid Resolution on Low-level Wind Prediction: Towards the Assessment of Climate Change Impact on Future Wind Power

    SciTech Connect (OSTI)

    Chin, H S; Glascoe, L; Lundquist, J; Wharton, S

    2010-02-24

    The Weather Research and Forecast (WRF) model is used in short-range simulations to explore the sensitivity of model physics and horizontal grid resolution. We choose five events with the clear-sky conditions to study the impact of different planetary boundary layer (PBL), surface and soil-layer physics on low-level wind forecast for two wind farms; one in California (CA) and the other in Texas (TX). Short-range simulations are validated with field measurements. Results indicate that the forecast error of the CA case decreases with increasing grid resolution due to the improved representation of valley winds. Besides, the model physics configuration has a significant impact on the forecast error at this location. In contrast, the forecast error of the TX case exhibits little dependence on grid resolution and is relatively independent of physics configuration. Therefore, the occurrence frequency of lowest root mean square errors (RMSEs) at this location is used to determine an optimal model configuration for subsequent decade-scale regional climate model (RCM) simulations. In this study, we perform two sets of 20-year RCM simulations using the data from the NCAR Global Climate Model (GCM) simulations; one set models the present climate and the other simulates the future climate. These RCM simulations will be used to assess the impact of climate change on future wind energy.

  14. EERE Takes Important Steps to Ensure Maximum Impact of Technology...

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

    and manufacturing; sustainable transportation; and renewable electricity generation. ... within the Department of Commerce as well as the U.S. Department of Agriculture. ...

  15. The expression level of HJURP has an independent prognostic impact and predicts the sensitivity to radiotherapy in breast cancer

    SciTech Connect (OSTI)

    Hu, Zhi; Huang, Ge; Sadanandam, Anguraj; Gu, Shenda; Lenburg, Marc E; Pai, Melody; Bayani, Nora; Blakely, Eleanor A; Gray, Joe W; Mao, Jian-Hua

    2010-06-25

    Introduction: HJURP (Holliday Junction Recognition Protein) is a newly discovered gene reported to function at centromeres and to interact with CENPA. However its role in tumor development remains largely unknown. The goal of this study was to investigate the clinical significance of HJURP in breast cancer and its correlation with radiotherapeutic outcome. Methods: We measured HJURP expression level in human breast cancer cell lines and primary breast cancers by Western blot and/or by Affymetrix Microarray; and determined its associations with clinical variables using standard statistical methods. Validation was performed with the use of published microarray data. We assessed cell growth and apoptosis of breast cancer cells after radiation using high-content image analysis. Results: HJURP was expressed at higher level in breast cancer than in normal breast tissue. HJURP mRNA levels were significantly associated with estrogen receptor (ER), progesterone receptor (PR), Scarff-Bloom-Richardson (SBR) grade, age and Ki67 proliferation indices, but not with pathologic stage, ERBB2, tumor size, or lymph node status. Higher HJURP mRNA levels significantly decreased disease-free and overall survival. HJURP mRNA levels predicted the prognosis better than Ki67 proliferation indices. In a multivariate Cox proportional-hazard regression, including clinical variables as covariates, HJURP mRNA levels remained an independent prognostic factor for disease-free and overall survival. In addition HJURP mRNA levels were an independent prognostic factor over molecular subtypes (normal like, luminal, Erbb2 and basal). Poor clinical outcomes among patients with high HJURP expression werevalidated in five additional breast cancer cohorts. Furthermore, the patients with high HJURP levels were much more sensitive to radiotherapy. In vitro studies in breast cancer cell lines showed that cells with high HJURP levels were more sensitive to radiation treatment and had a higher rate of apoptosis than those with low levels. Knock down of HJURP in human breast cancer cells using shRNA reduced the sensitivity to radiation treatment. HJURP mRNA levels were significantly correlated with CENPA mRNA levels. Conclusions: HJURP mRNA level is a prognostic factor for disease-free and overall survival in patients with breast cancer and is a predictive biomarker for sensitivity to radiotherapy.

  16. Final Report for DOE grant no. DE-FG02-04ER63883: Can soil genomics predict the impact of precipitation on nitrous oxide flux from soil

    SciTech Connect (OSTI)

    Egbert Schwartz

    2008-12-15

    Nitrous oxide is a potent greenhouse gas that is released by microorganisms in soil. However, the production of nitrous oxide in soil is highly variable and difficult to predict. Future climate change may have large impacts on nitrous oxide release through alteration of precipitation patterns. We analyzed DNA extracted from soil in order to uncover relationships between microbial processes, abundance of particular DNA sequences and net nitrous oxide fluxes from soil. Denitrification, a microbial process in which nitrate is used as an electron acceptor, correlated with nitrous oxide flux from soil. The abundance of ammonia oxidizing archaea correlated positively, but weakly, with nitrous oxide production in soil. The abundance of bacterial genes in soil was negatively correlated with gross nitrogen mineralization rates and nitrous oxide release from soil. We suggest that the most important control over nitrous oxide production in soil is the growth and death of microorganisms. When organisms are growing nitrogen is incorporated into their biomass and nitrous oxide flux is low. In contrast, when microorganisms die, due to predation or infection by viruses, inorganic nitrogen is released into the soil resulting in nitrous oxide release. Higher rates of precipitation increase access to microorganisms by predators or viruses through filling large soil pores with water and therefore can lead to large releases of nitrous oxide from soil. We developed a new technique, stable isotope probing with 18O-water, to study growth and mortality of microorganisms in soil.

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

    SciTech Connect (OSTI)

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

    2008-06-01

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

  18. Possible dynamical explanations for Paltridge's principle of maximum entropy production

    SciTech Connect (OSTI)

    Virgo, Nathaniel Ikegami, Takashi

    2014-12-05

    Throughout the history of non-equilibrium thermodynamics a number of theories have been proposed in which complex, far from equilibrium flow systems are hypothesised to reach a steady state that maximises some quantity. Perhaps the most celebrated is Paltridge's principle of maximum entropy production for the horizontal heat flux in Earth's atmosphere, for which there is some empirical support. There have been a number of attempts to derive such a principle from maximum entropy considerations. However, we currently lack a more mechanistic explanation of how any particular system might self-organise into a state that maximises some quantity. This is in contrast to equilibrium thermodynamics, in which models such as the Ising model have been a great help in understanding the relationship between the predictions of MaxEnt and the dynamics of physical systems. In this paper we show that, unlike in the equilibrium case, Paltridge-type maximisation in non-equilibrium systems cannot be achieved by a simple dynamical feedback mechanism. Nevertheless, we propose several possible mechanisms by which maximisation could occur. Showing that these occur in any real system is a task for future work. The possibilities presented here may not be the only ones. We hope that by presenting them we can provoke further discussion about the possible dynamical mechanisms behind extremum principles for non-equilibrium systems, and their relationship to predictions obtained through MaxEnt.

  19. Ecological Impacts of the Cerro Grande Fire: Predicting Elk Movement and Distribution Patterns in Response to Vegetative Recovery through Simulation Modeling October 2005

    SciTech Connect (OSTI)

    S.P. Rupp

    2005-10-01

    In May 2000, the Cerro Grande Fire burned approximately 17,200 ha in north-central New Mexico as the result of an escaped prescribed burn initiated by Bandelier National Monument. The interaction of large-scale fires, vegetation, and elk is an important management issue, but few studies have addressed the ecological implications of vegetative succession and landscape heterogeneity on ungulate populations following large-scale disturbance events. Primary objectives of this research were to identify elk movement pathways on local and landscape scales, to determine environmental factors that influence elk movement, and to evaluate movement and distribution patterns in relation to spatial and temporal aspects of the Cerro Grande Fire. Data collection and assimilation reflect the collaborative efforts of National Park Service, U.S. Forest Service, and Department of Energy (Los Alamos National Laboratory) personnel. Geographic positioning system (GPS) collars were used to track 54 elk over a period of 3+ years and locational data were incorporated into a multi-layered geographic information system (GIS) for analysis. Preliminary tests of GPS collar accuracy indicated a strong effect of 2D fixes on position acquisition rates (PARs) depending on time of day and season of year. Slope, aspect, elevation, and land cover type affected dilution of precision (DOP) values for both 2D and 3D fixes, although significant relationships varied from positive to negative making it difficult to delineate the mechanism behind significant responses. Two-dimensional fixes accounted for 34% of all successfully acquired locations and may affect results in which those data were used. Overall position acquisition rate was 93.3% and mean DOP values were consistently in the range of 4.0 to 6.0 leading to the conclusion collar accuracy was acceptable for modeling purposes. SAVANNA, a spatially explicit, process-oriented ecosystem model, was used to simulate successional dynamics. Inputs to the SAVANNA included a land cover map, long-term weather data, soil maps, and a digital elevation model. Parameterization and calibration were conducted using field plots. Model predictions of herbaceous biomass production and weather were consistent with available data and spatial interpolations of snow were considered reasonable for this study. Dynamic outputs generated by SAVANNA were integrated with static variables, movement rules, and parameters developed for the individual-based model through the application of a habitat suitability index. Model validation indicated reasonable model fit when compared to an independent test set. The finished model was applied to 2 realistic management scenarios for the Jemez Mountains and management implications were discussed. Ongoing validation of the individual-based model presented in this dissertation provides an adaptive management tool that integrates interdisciplinary experience and scientific information, which allows users to make predictions about the impact of alternative management policies.

  20. Oxidation State Optimization for Maximum Efficiency of NOx Adsorber...

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

    State Optimization for Maximum Efficiency of NOx Adsorber Catalysts Oxidation State Optimization for Maximum Efficiency of NOx Adsorber Catalysts Presentation given at the 16th...

  1. Engineer End Uses for Maximum Efficiency | Department of Energy

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

    Engineer End Uses for Maximum Efficiency Engineer End Uses for Maximum Efficiency This tip sheet outlines steps to ensure the efficiency of compressed air end-use applications....

  2. Electron energy spectrum and maximum disruption angle under multi...

    Office of Scientific and Technical Information (OSTI)

    Conference: Electron energy spectrum and maximum disruption angle under multi-photon beamstrahlung Citation Details In-Document Search Title: Electron energy spectrum and maximum ...

  3. Theoretical Estimate of Maximum Possible Nuclear Explosion

    DOE R&D Accomplishments [OSTI]

    Bethe, H. A.

    1950-01-31

    The maximum nuclear accident which could occur in a Na-cooled, Be moderated, Pu and power producing reactor is estimated theoretically. (T.R.H.) 2O82 Results of nuclear calculations for a variety of compositions of fast, heterogeneous, sodium-cooled, U-235-fueled, plutonium- and power-producing reactors are reported. Core compositions typical of plate-, pin-, or wire-type fuel elements and with uranium as metal, alloy, and oxide were considered. These compositions included atom ratios in the following range: U-23B to U-235 from 2 to 8; sodium to U-235 from 1.5 to 12; iron to U-235 from 5 to 18; and vanadium to U-235 from 11 to 33. Calculations were performed to determine the effect of lead and iron reflectors between the core and blanket. Both natural and depleted uranium were evaluated as the blanket fertile material. Reactors were compared on a basis of conversion ratio, specific power, and the product of both. The calculated results are in general agreement with the experimental results from fast reactor assemblies. An analysis of the effect of new cross-section values as they became available is included. (auth)

  4. Verification of constitutive models using the Asay Impact Test

    SciTech Connect (OSTI)

    Haberman, K.S.; Bennett, J.G.

    1998-09-01

    Accurate analysis and the ability to predict the complete response of particulate composite materials requires accurate inelastic constitutive models. However, to be of maximum utility, these inelastic models must be validated using quantifiable experimental results. The Asay Impact Test is an impact experiment that provides the evolution of the two dimensional in-plane displacement field in a specimen undergoing dynamic inelastic deformation. The experimental displacement field may be directed compared with the predicted displacement field from a candidate inelastic constitutive model. In this paper, the authors report comparisons between experimental and predicted displacement fields in the energetic particulate composite material PBX-9501 during dynamic deformation, and describe the experiment and the constitutive modeling approach.

  5. Property:Maximum Velocity(m/s) | Open Energy Information

    Open Energy Info (EERE)

    Velocity(ms) Jump to: navigation, search Property Name Maximum Velocity(ms) Property Type String Pages using the property "Maximum Velocity(ms)" Showing 25 pages using this...

  6. Property:Maximum Wave Length(m) | Open Energy Information

    Open Energy Info (EERE)

    Length(m) Jump to: navigation, search Property Name Maximum Wave Length(m) Property Type String Pages using the property "Maximum Wave Length(m)" Showing 18 pages using this...

  7. Property:Maximum Wave Height(m) | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Property Name Maximum Wave Height(m) Property Type String Pages using the property "Maximum Wave Height(m)" Showing 25 pages using this property....

  8. Impact of graphene polycrystallinity on the performance of graphene field-effect transistors

    SciTech Connect (OSTI)

    Jimnez, David; Chaves, Ferney [Departament d'Enginyeria Electrnica, Escola d'Enginyeria, Universitat Autnoma de Barcelona, 08193-Bellaterra (Spain); Cummings, Aron W.; Van Tuan, Dinh [ICN2, Institut Catal de Nanociencia i Nanotecnologia, Campus UAB, 08193 Bellaterra (Barcelona) (Spain); Kotakoski, Jani [Faculty of Physics, University of Vienna, Boltzmanngasse 5, 1090 Wien (Austria); Department of Physics, University of Helsinki, P.O. Box 43, 00014 University of Helsinki (Finland); Roche, Stephan [ICN2, Institut Catal de Nanociencia i Nanotecnologia, Campus UAB, 08193 Bellaterra (Barcelona) (Spain); ICREA, Instituci Catalana de Recerca i Estudis Avanats, 08070 Barcelona (Spain)

    2014-01-27

    We have used a multi-scale physics-based model to predict how the grain size and different grain boundary morphologies of polycrystalline graphene will impact the performance metrics of graphene field-effect transistors. We show that polycrystallinity has a negative impact on the transconductance, which translates to a severe degradation of the maximum and cutoff frequencies. On the other hand, polycrystallinity has a positive impact on current saturation, and a negligible effect on the intrinsic gain. These results reveal the complex role played by graphene grain boundaries and can be used to guide the further development and optimization of graphene-based electronic devices.

  9. Predicting and Utilizing the Vehicle's Past and Futuer Road Grade...

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

    of Advanced Powertrain Systems Impact of Vehicle Efficiency Improvements on Powertrain Design The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption...

  10. Quantifying effectiveness of failure prediction and response...

    Office of Scientific and Technical Information (OSTI)

    effectiveness of failure prediction and response in HPC systems : methodology and example. ... While many research studies have quantified the expected impact of growing system size, ...

  11. WRF-Chem model predictions of the regional impacts of N2O5 heterogeneous processes on night-time chemistry over north-western Europe

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

    Lowe, Douglas; Archer-Nicholls, Scott; Morgan, Will; Allan, James D.; Utembe, Steve; Ouyang, Bin; Aruffo, Eleonora; Le Breton, Michael; Zaveri, Rahul A.; di Carlo, Piero; et al

    2015-02-09

    Chemical modelling studies have been conducted over north-western Europe in summer conditions, showing that night-time dinitrogen pentoxide (N2O5) heterogeneous reactive uptake is important regionally in modulating particulate nitrate and has a~modest influence on oxidative chemistry. Results from Weather Research and Forecasting model with Chemistry (WRF-Chem) model simulations, run with a detailed volatile organic compound (VOC) gas-phase chemistry scheme and the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) sectional aerosol scheme, were compared with a series of airborne gas and particulate measurements made over the UK in July 2010. Modelled mixing ratios of key gas-phase species were reasonably accurate (correlationsmore » with measurements of 0.7–0.9 for NO2 and O3). However modelled loadings of particulate species were less accurate (correlation with measurements for particulate sulfate and ammonium were between 0.0 and 0.6). Sulfate mass loadings were particularly low (modelled means of 0.5–0.7 μg kg−1air, compared with measurements of 1.0–1.5 μg kg−1air). Two flights from the campaign were used as test cases – one with low relative humidity (RH) (60–70%), the other with high RH (80–90%). N2O5 heterogeneous chemistry was found to not be important in the low-RH test case; but in the high-RH test case it had a strong effect and significantly improved the agreement between modelled and measured NO3 and N2O5. When the model failed to capture atmospheric RH correctly, the modelled NO3 and N2O5 mixing ratios for these flights differed significantly from the measurements. This demonstrates that, for regional modelling which involves heterogeneous processes, it is essential to capture the ambient temperature and water vapour profiles. The night-time NO3 oxidation of VOCs across the whole region was found to be 100–300 times slower than the daytime OH oxidation of these compounds. The difference in contribution was less for alkenes (× 80) and comparable for dimethylsulfide (DMS). However the suppression of NO3 mixing ratios across the domain by N2O5 heterogeneous chemistry has only a very slight, negative, influence on this oxidative capacity. The influence on regional particulate nitrate mass loadings is stronger. Night-time N2O5 heterogeneous chemistry maintains the production of particulate nitrate within polluted regions: when this process is taken into consideration, the daytime peak (for the 95th percentile) of PM10 nitrate mass loadings remains around 5.6 μg kg−1air, but the night-time minimum increases from 3.5 to 4.6 μg kg−1air. The sustaining of higher particulate mass loadings through the night by this process improves model skill at matching measured aerosol nitrate diurnal cycles and will negatively impact on regional air quality, requiring this process to be included in regional models.« less

  12. Boiler Maximum Achievable Control Technology (MACT) Technical Assistance -

    Office of Environmental Management (EM)

    Fact Sheet, April 2015 | Department of Energy Boiler Maximum Achievable Control Technology (MACT) Technical Assistance - Fact Sheet, April 2015 Boiler Maximum Achievable Control Technology (MACT) Technical Assistance - Fact Sheet, April 2015 This fact sheet about AMO's Boiler Maximum Achievable Control Technology (Boiler MACT) Technical Assistance Program was last updated in April 2015. PDF icon Boiler_MACT_factsheet.pdf More Documents & Publications CHP: A Technical & Economic

  13. Montana Total Maximum Daily Load Development Projects Wiki |...

    Open Energy Info (EERE)

    Wiki Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Montana Total Maximum Daily Load Development Projects Wiki Abstract Provides information on...

  14. LANDFILL OPERATION FOR CARBON SEQUESTRATION AND MAXIMUM METHANE EMISSION CONTROL

    SciTech Connect (OSTI)

    Don Augenstein; Ramin Yazdani; Rick Moore; Michelle Byars; Jeff Kieffer; Professor Morton Barlaz; Rinav Mehta

    2000-02-26

    Controlled landfilling is an approach to manage solid waste landfills, so as to rapidly complete methane generation, while maximizing gas capture and minimizing the usual emissions of methane to the atmosphere. With controlled landfilling, methane generation is accelerated to more rapid and earlier completion to full potential by improving conditions (principally moisture, but also temperature) to optimize biological processes occurring within the landfill. Gas is contained through use of surface membrane cover. Gas is captured via porous layers, under the cover, operated at slight vacuum. A field demonstration project has been ongoing under NETL sponsorship for the past several years near Davis, CA. Results have been extremely encouraging. Two major benefits of the technology are reduction of landfill methane emissions to minuscule levels, and the recovery of greater amounts of landfill methane energy in much shorter times, more predictably, than with conventional landfill practice. With the large amount of US landfill methane generated, and greenhouse potency of methane, better landfill methane control can play a substantial role both in reduction of US greenhouse gas emissions and in US renewable energy. The work described in this report, to demonstrate and advance this technology, has used two demonstration-scale cells of size (8000 metric tons [tonnes]), sufficient to replicate many heat and compaction characteristics of larger ''full-scale'' landfills. An enhanced demonstration cell has received moisture supplementation to field capacity. This is the maximum moisture waste can hold while still limiting liquid drainage rate to minimal and safely manageable levels. The enhanced landfill module was compared to a parallel control landfill module receiving no moisture additions. Gas recovery has continued for a period of over 4 years. It is quite encouraging that the enhanced cell methane recovery has been close to 10-fold that experienced with conventional landfills. This is the highest methane recovery rate per unit waste, and thus progress toward stabilization, documented anywhere for such a large waste mass. This high recovery rate is attributed to moisture, and elevated temperature attained inexpensively during startup. Economic analyses performed under Phase I of this NETL contract indicate ''greenhouse cost effectiveness'' to be excellent. Other benefits include substantial waste volume loss (over 30%) which translates to extended landfill life. Other environmental benefits include rapidly improved quality and stabilization (lowered pollutant levels) in liquid leachate which drains from the waste.

  15. Maximum Photovoltaic Penetration Levels on Typical Distribution Feeders: Preprint

    SciTech Connect (OSTI)

    Hoke, A.; Butler, R.; Hambrick, J.; Kroposki, B.

    2012-07-01

    This paper presents simulation results for a taxonomy of typical distribution feeders with various levels of photovoltaic (PV) penetration. For each of the 16 feeders simulated, the maximum PV penetration that did not result in steady-state voltage or current violation is presented for several PV location scenarios: clustered near the feeder source, clustered near the midpoint of the feeder, clustered near the end of the feeder, randomly located, and evenly distributed. In addition, the maximum level of PV is presented for single, large PV systems at each location. Maximum PV penetration was determined by requiring that feeder voltages stay within ANSI Range A and that feeder currents stay within the ranges determined by overcurrent protection devices. Simulations were run in GridLAB-D using hourly time steps over a year with randomized load profiles based on utility data and typical meteorological year weather data. For 86% of the cases simulated, maximum PV penetration was at least 30% of peak load.

  16. Alaska Maximum Number of Active Crews Engaged in Seismic Surveying...

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

    Seismic Surveying (Number of Elements) Alaska Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec...

  17. Oxidation State Optimization for Maximum Efficiency of NOx Adsorber

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

    Catalysts | Department of Energy State Optimization for Maximum Efficiency of NOx Adsorber Catalysts Oxidation State Optimization for Maximum Efficiency of NOx Adsorber Catalysts Presentation given at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010. PDF icon deer10_li.pdf More Documents & Publications Lean NOx Trap Regeneration Selectivity Towards N2O -- Similarities and Differences Between H2, CO and C3H6 Reductants

  18. CABLE TECHNOLOGY LABORATORIES, INC. DETERMINATION OF THRESHOLD AND MAXIMUM

    Office of Scientific and Technical Information (OSTI)

    CABLE TECHNOLOGY LABORATORIES, INC. DETERMINATION OF THRESHOLD AND MAXIMUM OPERATING ELECTRIC STRESSES FOR SELECTED HIGH VOLTAGE INSULATIONS Investigation of Aged Polymeric Dielectric Cable DOE CONTRACT DE-AC 02-80RA 50156 Final Report Prepared by : Approved by: G.S. Eager, Jr. G.W. Seman B. Fryszczyn C. Katz November 1995 690 Jersey Avenue - RO. Box 707 - Fax: (908) 846-5531 New Brunswick, N.J. 08903 Tel: (908) 8463133 DETERMINATION OF THRESHOLD AND MAXIMUM OPERATING ELECTRIC STRESSES FOR

  19. Are There Practical Approaches for Achieving the Theoretical Maximum Engine

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

    Efficiency? | Department of Energy Are There Practical Approaches for Achieving the Theoretical Maximum Engine Efficiency? Are There Practical Approaches for Achieving the Theoretical Maximum Engine Efficiency? 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: University of Wisconsin, Madison PDF icon 2004_deer_foster.pdf More Documents & Publications Fuel Modification t Facilitate Future Combustion Regimes? The Next ICE Age The Next ICE Age

  20. Table 10.1 Nonswitchable Minimum and Maximum Consumption, 2002

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

    Nonswitchable Minimum and Maximum Consumption, 2002; " " Level: National and Regional Data;" " Row: Energy Sources;" " Column: Consumption Potential;" " Unit: Physical Units." ,,,,"RSE" ,"Actual","Minimum","Maximum","Row" "Energy Sources","Consumption","Consumption(a)","Consumption(b)","Factors" ,"Total United States" "RSE Column

  1. ESTIMATE OF SOLAR MAXIMUM USING THE 1-8 GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITES X-RAY MEASUREMENTS

    SciTech Connect (OSTI)

    Winter, L. M.; Balasubramaniam, K. S.

    2014-10-01

    We present an alternate method of determining the progression of the solar cycle through an analysis of the solar X-ray background. Our results are based on the NOAA Geostationary Operational Environmental Satellites (GOES) X-ray data in the 1-8 band from 1986 to the present, covering solar cycles 22, 23, and 24. The X-ray background level tracks the progression of the solar cycle through its maximum and minimum. Using the X-ray data, we can therefore make estimates of the solar cycle progression and the date of solar maximum. Based upon our analysis, we conclude that the Sun reached its hemisphere-averaged maximum in solar cycle 24 in late 2013. This is within six months of the NOAA prediction of a maximum in spring 2013.

  2. Robust Maximum Lifetime Routing and Energy Allocation in Wireless Sensor Networks

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

    Paschalidis, Ioannis Ch.; Wu, Ruomin

    2012-01-01

    We consider the maximum lifetime routing problem in wireless sensor networks in two settings: (a) when nodes’ initial energy is given and (b) when it is subject to optimization. The optimal solution and objective value provide optimal flows and the corresponding predicted lifetime, respectively. We stipulate that there is uncertainty in various network parameters (available energy and energy depletion rates). In setting (a) we show that for specific, yet typical, network topologies, the actual network lifetime will reach the predicted value with a probability that converges to zero as the number of nodes grows large. In setting (b) the samemore » result holds for all topologies. We develop a series of robust problem formulations, ranging from pessimistic to optimistic. A set of parameters enable the tuning of the conservatism of the formulation to obtain network flows with a desirably high probability that the corresponding lifetime prediction is achieved. We establish a number of properties for the robust network flows and energy allocations and provide numerical results to highlight the tradeoff between predicted lifetime and the probability achieved. Further, we analyze an interesting limiting regime of massively deployed sensor networks and essentially solve a continuous version of the problem.« less

  3. Maximum entanglement in squeezed boson and fermion states

    SciTech Connect (OSTI)

    Khanna, F. C.; Malbouisson, J. M. C.; Santana, A. E.; Santos, E. S.

    2007-08-15

    A class of squeezed boson and fermion states is studied with particular emphasis on the nature of entanglement. We first investigate the case of bosons, considering two-mode squeezed states. Then we construct the fermion version to show that such states are maximum entangled, for both bosons and fermions. To achieve these results, we demonstrate some relations involving squeezed boson states. The generalization to the case of fermions is made by using Grassmann variables.

  4. Maximum patch method for directional dark matter detection

    SciTech Connect (OSTI)

    Henderson, Shawn; Monroe, Jocelyn; Fisher, Peter [Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States); Laboratory for Nuclear Science, MIT Kavli Institute for Astrophysics and Space Research, Department of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States)

    2008-07-01

    Present and planned dark matter detection experiments search for WIMP-induced nuclear recoils in poorly known background conditions. In this environment, the maximum gap statistical method provides a way of setting more sensitive cross section upper limits by incorporating known signal information. We give a recipe for the numerical calculation of upper limits for planned directional dark matter detection experiments, that will measure both recoil energy and angle, based on the gaps between events in two-dimensional phase space.

  5. Maximum Entry and Mandatory Separation Ages for Certain Security Employees

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

    2001-10-11

    The policy establishes the DOE policy on maximum entry and mandatory separation ages for primary or secondary positions covered under special statutory retirement provisions and for those employees whose primary duties are the protection of officials of the United States against threats to personal safety or the investigation, apprehension, and detention of individuals suspected or convicted of offenses against the criminal laws of the United States. Admin Chg 1, dated 12-1-11, supersedes DOE P 310.1.

  6. Maximum U.S. Active Seismic Crew Counts

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

    Jurisdiction waters of the Gulf of Mexico. Alaska is all onshore. Total crews includes crews with unknown survey dimension. Data are reported on the first and fifteenth of each month, except January when they are reported only on the fifteenth. When semi-monthly values differ for the month, the larger of the two values is shown here. Consequently, this table reflects the maximum number of crews at work at any time during the month. See Definitions, Sources, and Notes link above for more

  7. Maximum Achievable Control Technology for New Industrial Boilers (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01

    As part of Clean Air Act 90 (CAAA90, the EPA on February 26, 2004, issued a final rulethe National Emission Standards for Hazardous Air Pollutants (NESHAP) to reduce emissions of hazardous air pollutants (HAPs) from industrial, commercial, and institutional boilers and process heaters. The rule requires industrial boilers and process heaters to meet limits on HAP emissions to comply with a Maximum Achievable Control Technology (MACT) floor level of control that is the minimum level such sources must meet to comply with the rule. The major HAPs to be reduced are hydrochloric acid, hydrofluoric acid, arsenic, beryllium, cadmium, and nickel. The EPA predicts that the boiler MACT rule will reduce those HAP emissions from existing sources by about 59,000 tons per year in 2005.

  8. Speech processing using conditional observable maximum likelihood continuity mapping

    DOE Patents [OSTI]

    Hogden, John; Nix, David

    2004-01-13

    A computer implemented method enables the recognition of speech and speech characteristics. Parameters are initialized of first probability density functions that map between the symbols in the vocabulary of one or more sequences of speech codes that represent speech sounds and a continuity map. Parameters are also initialized of second probability density functions that map between the elements in the vocabulary of one or more desired sequences of speech transcription symbols and the continuity map. The parameters of the probability density functions are then trained to maximize the probabilities of the desired sequences of speech-transcription symbols. A new sequence of speech codes is then input to the continuity map having the trained first and second probability function parameters. A smooth path is identified on the continuity map that has the maximum probability for the new sequence of speech codes. The probability of each speech transcription symbol for each input speech code can then be output.

  9. Reduction in maximum time uncertainty of paired time signals

    DOE Patents [OSTI]

    Theodosiou, G.E.; Dawson, J.W.

    1981-02-11

    Reduction in the maximum time uncertainty (t/sub max/ - t/sub min/) of a series of paired time signals t/sub 1/ and t/sub 2/ varying between two input terminals and representative of a series of single events where t/sub 1/ less than or equal to t/sub 2/ and t/sub 1/ + t/sub 2/ equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t/sub min/) of the first signal t/sub 1/ closer to t/sub max/ and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20 to 800.

  10. Total Estimated Contract Cost: Contract Option Period: Maximum Fee

    Office of Environmental Management (EM)

    Maximum Fee Performance Period Fee Earned FY2011/2012 $4,059,840 FY2013 $2,928,000 FY2014 $3,022,789 FY2015 FY2016 Cumulative Fee $10,010,629 $19,878,019 $3,214,544 $5,254,840 $5,662,028 $1,421,695 Fee Available $4,324,912 $417,833,183 Contract Base Period: January 3, 2011 - September 2, 2016 (Extended) Fee Information Minimum Fee $0 N/A $19,878,019 Contractor: Babcock & Wilcox Conversion Services, LLC Contract Number: DE-AC30-11CC40015 Contract Type: Cost Plus Award Fee EM Contractor Fee

  11. Reduction in maximum time uncertainty of paired time signals

    DOE Patents [OSTI]

    Theodosiou, G.E.; Dawson, J.W.

    1983-10-04

    Reduction in the maximum time uncertainty (t[sub max]--t[sub min]) of a series of paired time signals t[sub 1] and t[sub 2] varying between two input terminals and representative of a series of single events where t[sub 1][<=]t[sub 2] and t[sub 1]+t[sub 2] equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t[sub min]) of the first signal t[sub 1] closer to t[sub max] and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20--800. 6 figs.

  12. Reduction in maximum time uncertainty of paired time signals

    DOE Patents [OSTI]

    Theodosiou, George E. (West Chicago, IL); Dawson, John W. (Clarendon Hills, IL)

    1983-01-01

    Reduction in the maximum time uncertainty (t.sub.max -t.sub.min) of a series of paired time signals t.sub.1 and t.sub.2 varying between two input terminals and representative of a series of single events where t.sub.1 .ltoreq.t.sub.2 and t.sub.1 +t.sub.2 equals a constant, is carried out with a circuit utilizing a combination of OR and AND gates as signal selecting means and one or more time delays to increase the minimum value (t.sub.min) of the first signal t.sub.1 closer to t.sub.max and thereby reduce the difference. The circuit may utilize a plurality of stages to reduce the uncertainty by factors of 20-800.

  13. Property:Maximum Velocity with Constriction(m/s) | Open Energy...

    Open Energy Info (EERE)

    Velocity with Constriction(ms) Jump to: navigation, search Property Name Maximum Velocity with Constriction(ms) Property Type String Pages using the property "Maximum Velocity...

  14. Thirty-Year Solid Waste Generation Maximum and Minimum Forecast for SRS

    SciTech Connect (OSTI)

    Thomas, L.C.

    1994-10-01

    This report is the third phase (Phase III) of the Thirty-Year Solid Waste Generation Forecast for Facilities at the Savannah River Site (SRS). Phase I of the forecast, Thirty-Year Solid Waste Generation Forecast for Facilities at SRS, forecasts the yearly quantities of low-level waste (LLW), hazardous waste, mixed waste, and transuranic (TRU) wastes generated over the next 30 years by operations, decontamination and decommissioning and environmental restoration (ER) activities at the Savannah River Site. The Phase II report, Thirty-Year Solid Waste Generation Forecast by Treatability Group (U), provides a 30-year forecast by waste treatability group for operations, decontamination and decommissioning, and ER activities. In addition, a 30-year forecast by waste stream has been provided for operations in Appendix A of the Phase II report. The solid wastes stored or generated at SRS must be treated and disposed of in accordance with federal, state, and local laws and regulations. To evaluate, select, and justify the use of promising treatment technologies and to evaluate the potential impact to the environment, the generic waste categories described in the Phase I report were divided into smaller classifications with similar physical, chemical, and radiological characteristics. These smaller classifications, defined within the Phase II report as treatability groups, can then be used in the Waste Management Environmental Impact Statement process to evaluate treatment options. The waste generation forecasts in the Phase II report includes existing waste inventories. Existing waste inventories, which include waste streams from continuing operations and stored wastes from discontinued operations, were not included in the Phase I report. Maximum and minimum forecasts serve as upper and lower boundaries for waste generation. This report provides the maximum and minimum forecast by waste treatability group for operation, decontamination and decommissioning, and ER activities.

  15. Estimate of Maximum Underground Working Gas Storage Capacity in the United States

    Reports and Publications (EIA)

    2006-01-01

    This report examines the aggregate maximum capacity for U.S. natural gas storage. Although the concept of maximum capacity seems quite straightforward, there are numerous issues that preclude the determination of a definitive maximum volume. The report presents three alternative estimates for maximum capacity, indicating appropriate caveats for each.

  16. LANDFILL OPERATION FOR CARBON SEQUESTRATION AND MAXIMUM METHANE EMISSION CONTROL

    SciTech Connect (OSTI)

    Don Augenstein

    2001-02-01

    The work described in this report, to demonstrate and advance this technology, has used two demonstration-scale cells of size (8000 metric tons [tonnes]), sufficient to replicate many heat and compaction characteristics of larger ''full-scale'' landfills. An enhanced demonstration cell has received moisture supplementation to field capacity. This is the maximum moisture waste can hold while still limiting liquid drainage rate to minimal and safely manageable levels. The enhanced landfill module was compared to a parallel control landfill module receiving no moisture additions. Gas recovery has continued for a period of over 4 years. It is quite encouraging that the enhanced cell methane recovery has been close to 10-fold that experienced with conventional landfills. This is the highest methane recovery rate per unit waste, and thus progress toward stabilization, documented anywhere for such a large waste mass. This high recovery rate is attributed to moisture, and elevated temperature attained inexpensively during startup. Economic analyses performed under Phase I of this NETL contract indicate ''greenhouse cost effectiveness'' to be excellent. Other benefits include substantial waste volume loss (over 30%) which translates to extended landfill life. Other environmental benefits include rapidly improved quality and stabilization (lowered pollutant levels) in liquid leachate which drains from the waste.

  17. Maximum Likelihood Analysis of Low Energy CDMS II Germanium Data

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

    Agnese, R.

    2015-03-30

    We report on the results of a search for a Weakly Interacting Massive Particle (WIMP) signal in low-energy data of the Cryogenic Dark Matter Search experiment using a maximum likelihood analysis. A background model is constructed using GEANT4 to simulate the surface-event background from Pb210decay-chain events, while using independent calibration data to model the gamma background. Fitting this background model to the data results in no statistically significant WIMP component. In addition, we also perform fits using an analytic ad hoc background model proposed by Collar and Fields, who claimed to find a large excess of signal-like events in ourmore » data. Finally, we confirm the strong preference for a signal hypothesis in their analysis under these assumptions, but excesses are observed in both single- and multiple-scatter events, which implies the signal is not caused by WIMPs, but rather reflects the inadequacy of their background model.« less

  18. Initial Value Predictability of Intrinsic Oceanic Modes and Implications for Decadal Prediction over North America

    SciTech Connect (OSTI)

    Branstator, Grant

    2014-12-09

    The overall aim of our project was to quantify and characterize predictability of the climate as it pertains to decadal time scale predictions. By predictability we mean the degree to which a climate forecast can be distinguished from the climate that exists at initial forecast time, taking into consideration the growth of uncertainty that occurs as a result of the climate system being chaotic. In our project we were especially interested in predictability that arises from initializing forecasts from some specific state though we also contrast this predictability with predictability arising from forecasting the reaction of the system to external forcing – for example changes in greenhouse gas concentration. Also, we put special emphasis on the predictability of prominent intrinsic patterns of the system because they often dominate system behavior. Highlights from this work include: • Development of novel methods for estimating the predictability of climate forecast models. • Quantification of the initial value predictability limits of ocean heat content and the overturning circulation in the Atlantic as they are represented in various state of the artclimate models. These limits varied substantially from model to model but on average were about a decade with North Atlantic heat content tending to be more predictable than North Pacific heat content. • Comparison of predictability resulting from knowledge of the current state of the climate system with predictability resulting from estimates of how the climate system will react to changes in greenhouse gas concentrations. It turned out that knowledge of the initial state produces a larger impact on forecasts for the first 5 to 10 years of projections. • Estimation of tbe predictability of dominant patterns of ocean variability including well-known patterns of variability in the North Pacific and North Atlantic. For the most part these patterns were predictable for 5 to 10 years. • Determination of especially predictable patterns in the North Atlantic. The most predictable of these retain predictability substantially longer than generic patterns, with some being predictable for two decades.

  19. The use of real-time off-site observations as a methodology for increasing forecast skill in prediction of large wind power ramps one or more hours ahead of their impact on a wind plant.

    SciTech Connect (OSTI)

    Martin Wilde, Principal Investigator

    2012-12-31

    ABSTRACT Application of Real-Time Offsite Measurements in Improved Short-Term Wind Ramp Prediction Skill Improved forecasting performance immediately preceding wind ramp events is of preeminent concern to most wind energy companies, system operators, and balancing authorities. The value of near real-time hub height-level wind data and more general meteorological measurements to short-term wind power forecasting is well understood. For some sites, access to onsite measured wind data - even historical - can reduce forecast error in the short-range to medium-range horizons by as much as 50%. Unfortunately, valuable free-stream wind measurements at tall tower are not typically available at most wind plants, thereby forcing wind forecasters to rely upon wind measurements below hub height and/or turbine nacelle anemometry. Free-stream measurements can be appropriately scaled to hub-height levels, using existing empirically-derived relationships that account for surface roughness and turbulence. But there is large uncertainty in these relationships for a given time of day and state of the boundary layer. Alternatively, forecasts can rely entirely on turbine anemometry measurements, though such measurements are themselves subject to wake effects that are not stationary. The void in free-stream hub-height level measurements of wind can be filled by remote sensing (e.g., sodar, lidar, and radar). However, the expense of such equipment may not be sustainable. There is a growing market for traditional anemometry on tall tower networks, maintained by third parties to the forecasting process (i.e., independent of forecasters and the forecast users). This study examines the value of offsite tall-tower data from the WINDataNOW Technology network for short-horizon wind power predictions at a wind farm in northern Montana. The presentation shall describe successful physical and statistical techniques for its application and the practicality of its application in an operational setting. It shall be demonstrated that when used properly, the real-time offsite measurements materially improve wind ramp capture and prediction statistics, when compared to traditional wind forecasting techniques and to a simple persistence model.

  20. Battery Life Predictive Model

    Energy Science and Technology Software Center (OSTI)

    2009-12-31

    The Software consists of a model used to predict battery capacity fade and resistance growth for arbitrary cycling and temperature profiles. It allows the user to extrapolate from experimental data to predict actual life cycle.

  1. Setting the Renormalization Scale in QCD: The Principle of Maximum Conformality

    SciTech Connect (OSTI)

    Brodsky, Stanley J.; Di Giustino, Leonardo; /SLAC

    2011-08-19

    A key problem in making precise perturbative QCD predictions is the uncertainty in determining the renormalization scale {mu} of the running coupling {alpha}{sub s}({mu}{sup 2}): The purpose of the running coupling in any gauge theory is to sum all terms involving the {beta} function; in fact, when the renormalization scale is set properly, all non-conformal {beta} {ne} 0 terms in a perturbative expansion arising from renormalization are summed into the running coupling. The remaining terms in the perturbative series are then identical to that of a conformal theory; i.e., the corresponding theory with {beta} = 0. The resulting scale-fixed predictions using the 'principle of maximum conformality' (PMC) are independent of the choice of renormalization scheme - a key requirement of renormalization group invariance. The results avoid renormalon resummation and agree with QED scale-setting in the Abelian limit. The PMC is also the theoretical principle underlying the BLM procedure, commensurate scale relations between observables, and the scale-setting method used in lattice gauge theory. The number of active flavors nf in the QCD {beta} function is also correctly determined. We discuss several methods for determining the PMC/BLM scale for QCD processes. We show that a single global PMC scale, valid at leading order, can be derived from basic properties of the perturbative QCD cross section. The elimination of the renormalization scheme ambiguity using the PMC will not only increase the precision of QCD tests, but it will also increase the sensitivity of collider experiments to new physics beyond the Standard Model.

  2. Property:Maximum Wave Height(m) at Wave Period(s) | Open Energy...

    Open Energy Info (EERE)

    at Wave Period(s) Jump to: navigation, search Property Name Maximum Wave Height(m) at Wave Period(s) Property Type String Pages using the property "Maximum Wave Height(m) at Wave...

  3. U.S. Lower 48 States Onshore Maximum Number of Active Crews Engaged...

    Gasoline and Diesel Fuel Update (EIA)

    Onshore Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) U.S. Lower 48 States Onshore Maximum Number of Active Crews Engaged in Seismic Surveying...

  4. U.S. Maximum Number of Active Crews Engaged in Seismic Surveying...

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

    Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Year Jan Feb...

  5. U.S. Lower 48 States Offshore Maximum Number of Active Crews...

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

    Offshore Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) U.S. Lower 48 States Offshore Maximum Number of Active Crews Engaged in Seismic Surveying...

  6. Application of asymptotic expansions for maximum likelihood estimators errors to gravitational waves from binary mergers: The single interferometer case

    SciTech Connect (OSTI)

    Zanolin, M.; Vitale, S.; Makris, N.

    2010-06-15

    In this paper we apply to gravitational waves (GW) from the inspiral phase of binary systems a recently derived frequentist methodology to calculate analytically the error for a maximum likelihood estimate of physical parameters. We use expansions of the covariance and the bias of a maximum likelihood estimate in terms of inverse powers of the signal-to-noise ration (SNR)s where the square root of the first order in the covariance expansion is the Cramer Rao lower bound (CRLB). We evaluate the expansions, for the first time, for GW signals in noises of GW interferometers. The examples are limited to a single, optimally oriented, interferometer. We also compare the error estimates using the first two orders of the expansions with existing numerical Monte Carlo simulations. The first two orders of the covariance allow us to get error predictions closer to what is observed in numerical simulations than the CRLB. The methodology also predicts a necessary SNR to approximate the error with the CRLB and provides new insight on the relationship between waveform properties, SNR, dimension of the parameter space and estimation errors. For example the timing match filtering can achieve the CRLB only if the SNR is larger than the Kurtosis of the gravitational wave spectrum and the necessary SNR is much larger if other physical parameters are also unknown.

  7. Impact Statements

    Broader source: Energy.gov [DOE]

    Reading Room / Final Environment Impact Statements Record of Decision on Bonneville Power Administrations Lyle Falls Fish Passage Project (DOE/EIS-3790, November 2008). February 2009.

  8. Environment and energy in Iceland: A comparative analysis of values and impacts

    SciTech Connect (OSTI)

    Thorhallsdottir, Thora Ellen . E-mail: theth@hi.is

    2007-08-15

    Within an Icelandic framework plan for energy, environmental values and impacts were estimated in multicriteria analyses for 19 hydroelectric and 22 geothermal developments. Four natural environment classes were defined (geology + hydrology, species, ecosystems + soils, landscape + wilderness) with cultural heritage as the fifth class. Values and impacts were assessed through 6 agglomerated attributes: richness/diversity, rarity, size/continuity/pristineness, information/symbolic value, international responsibility and visual value. The project offers a unique opportunity for comparing environmental values and impacts within a large sample of sites and energy alternatives treated within a common methodological framework. Total values were higher in hydroelectric than in geothermal areas. Hydroelectric areas scored high for cultural heritage (particularly in rarity and information value), landscape and wilderness. Geothermal areas had high bedrock and hydrological diversity and information values, and a high landscape visual value but little cultural heritage. High values were correlated among some classes of the natural environment, all of which are likely to reflect functional relationships. In contrast, cultural heritage values were not related to natural environment values. Overall, landscape and wilderness had the highest mean value and were also most affected by energy development. Over 40% of the hydroelectric development had a predicted mean impact value of > 4 (out of a maximum of 10), compared with 10% of the geothermal projects. Excluding two outsized hydropower options, there was a significant correlation between plant capacity and impact on geology and hydrology but not with other environmental variables.

  9. WRF-Chem model predictions of the regional impacts of N2O5 heterogeneous processes on night-time chemistry over north-western Europe

    SciTech Connect (OSTI)

    Lowe, Douglas; Archer-Nicholls, Scott; Morgan, Will; Allan, James D.; Utembe, Steve; Ouyang, Bin; Aruffo, Eleonora; Le Breton, Michael; Zaveri, Rahul A.; di Carlo, Piero; Percival, Carl; Coe, H.; Jones, Roderic L.; McFiggans, Gordon

    2015-02-09

    Chemical modelling studies have been conducted over north-western Europe in summer conditions, showing that night-time dinitrogen pentoxide (N2O5) heterogeneous reactive uptake is important regionally in modulating particulate nitrate and has a~modest influence on oxidative chemistry. Results from Weather Research and Forecasting model with Chemistry (WRF-Chem) model simulations, run with a detailed volatile organic compound (VOC) gas-phase chemistry scheme and the Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) sectional aerosol scheme, were compared with a series of airborne gas and particulate measurements made over the UK in July 2010. Modelled mixing ratios of key gas-phase species were reasonably accurate (correlations with measurements of 0.70.9 for NO2 and O3). However modelled loadings of particulate species were less accurate (correlation with measurements for particulate sulfate and ammonium were between 0.0 and 0.6). Sulfate mass loadings were particularly low (modelled means of 0.50.7 ?g kg?1air, compared with measurements of 1.01.5 ?g kg?1air). Two flights from the campaign were used as test cases one with low relative humidity (RH) (6070%), the other with high RH (8090%). N2O5 heterogeneous chemistry was found to not be important in the low-RH test case; but in the high-RH test case it had a strong effect and significantly improved the agreement between modelled and measured NO3 and N2O5. When the model failed to capture atmospheric RH correctly, the modelled NO3 and N2O5 mixing ratios for these flights differed significantly from the measurements. This demonstrates that, for regional modelling which involves heterogeneous processes, it is essential to capture the ambient temperature and water vapour profiles.

    The night-time NO3 oxidation of VOCs across the whole region was found to be 100300 times slower than the daytime OH oxidation of these compounds. The difference in contribution was less for alkenes ( 80) and comparable for dimethylsulfide (DMS). However the suppression of NO3 mixing ratios across the domain by N2O5 heterogeneous chemistry has only a very slight, negative, influence on this oxidative capacity. The influence on regional particulate nitrate mass loadings is stronger. Night-time N2O5 heterogeneous chemistry maintains the production of particulate nitrate within polluted regions: when this process is taken into consideration, the daytime peak (for the 95th percentile) of PM10 nitrate mass loadings remains around 5.6 ?g kg?1air, but the night-time minimum increases from 3.5 to 4.6 ?g kg?1air. The sustaining of higher particulate mass loadings through the night by this process improves model skill at matching measured aerosol nitrate diurnal cycles and will negatively impact on regional air quality, requiring this process to be included in regional models.

  10. Application of the Principle of Maximum Conformality to Top-Pair Production

    SciTech Connect (OSTI)

    Brodsky, Stanley J.; Wu, Xing-Gang; /SLAC /Chongqing U.

    2013-05-13

    A major contribution to the uncertainty of finite-order perturbative QCD predictions is the perceived ambiguity in setting the renormalization scale {mu}{sub r}. For example, by using the conventional way of setting {mu}{sub r} {element_of} [m{sub t}/2, 2m{sub t}], one obtains the total t{bar t} production cross-section {sigma}{sub t{bar t}} with the uncertainty {Delta}{sigma}{sub t{bar t}}/{sigma}{sub t{bar t}} {approx} (+3%/-4%) at the Tevatron and LHC even for the present NNLO level. The Principle of Maximum Conformality (PMC) eliminates the renormalization scale ambiguity in precision tests of Abelian QED and non-Abelian QCD theories. By using the PMC, all nonconformal {l_brace}{beta}{sub i}{r_brace}-terms in the perturbative expansion series are summed into the running coupling constant, and the resulting scale-fixed predictions are independent of the renormalization scheme. The correct scale-displacement between the arguments of different renormalization schemes is automatically set, and the number of active flavors n{sub f} in the {l_brace}{beta}{sub i}{r_brace}-function is correctly determined. The PMC is consistent with the renormalization group property that a physical result is independent of the renormalization scheme and the choice of the initial renormalization scale {mu}{sub r}{sup init}. The PMC scale {mu}{sub r}{sup PMC} is unambiguous at finite order. Any residual dependence on {mu}{sub r}{sup init} for a finite-order calculation will be highly suppressed since the unknown higher-order {l_brace}{beta}{sub i}{r_brace}-terms will be absorbed into the PMC scales higher-order perturbative terms. We find that such renormalization group invariance can be satisfied to high accuracy for {sigma}{sub t{bar t}} at the NNLO level. In this paper we apply PMC scale-setting to predict the t{bar t} cross-section {sigma}{sub t{bar t}} at the Tevatron and LHC colliders. It is found that {sigma}{sub t{bar t}} remains almost unchanged by varying {mu}{sub r}{sup init} within the region of [m{sub t}/4, 4m{sub t}]. The convergence of the expansion series is greatly improved. For the (q{bar q})-channel, which is dominant at the Tevatron, its NLO PMC scale is much smaller than the top-quark mass in the small x-region, and thus its NLO cross-section is increased by about a factor of two. In the case of the (gg)-channel, which is dominant at the LHC, its NLO PMC scale slightly increases with the subprocess collision energy {radical}s, but it is still smaller than m{sub t} for {radical} {approx}< 1 TeV, and the resulting NLO cross-section is increased by {approx}20%. As a result, a larger {sigma}{sub t{bar t}} is obtained in comparison to the conventional scale-setting method, which agrees well with the present Tevatron and LHC data. More explicitly, by setting m{sub t} = 172.9 {+-} 1.1 GeV, we predict {sigma}{sub Tevatron, 1.96 TeV} = 7.626{sub -0.257}{sup +0.265} pb, {sigma}{sub LHC, 7 TeV} = 171.8{sub -5.6}{sup +5.8} pb and {sigma}{sub LHC, 14 TeV} = 941.3{sub -26.5}{sup +28.4} pb.

  11. Electron energy spectrum and maximum disruption angle under multi-photon

    Office of Scientific and Technical Information (OSTI)

    beamstrahlung (Conference) | SciTech Connect Electron energy spectrum and maximum disruption angle under multi-photon beamstrahlung Citation Details In-Document Search Title: Electron energy spectrum and maximum disruption angle under multi-photon beamstrahlung The final electron energy spectrum under multi-photon beamstrahlung process is derived analytically in the classical and the intermediate regimes. The maximum disruption angle from the low energy tail of the spectrum is also

  12. Maximum allowable hydraulic ram force for heel jet removal Tank 241-C-106

    SciTech Connect (OSTI)

    PAULSEN, S.S.

    2003-01-10

    This document contains an evaluation of the maximum force that can be used to actuate the hydraulic ram assembly without causing permanent damage to the riser or pit.

  13. Nevada Test Site probable maximum flood study, part of US Geological Survey flood potential and debris hazard study, Yucca Mountain Site for US Department of Energy, Office of Civilian Radioactive Waste Management

    SciTech Connect (OSTI)

    Bullard, K.L.

    1994-08-01

    The US Geological Survey (USGS), as part of the Yucca Mountain Project (YMP), is conducting studies at Yucca Mountain, Nevada. The purposes of these studies are to provide hydrologic and geologic information to evaluate the suitability of Yucca Mountain for development as a high-level nuclear waste repository, and to evaluate the ability of the mined geologic disposal system (MGDS) to isolate the waste in compliance with regulatory requirements. In particular, the project is designed to acquire information necessary for the Department of Energy (DOE) to demonstrate in its environmental impact statement (EIS) and license application whether the MGDS will meet the requirements of federal regulations 10 CFR Part 60, 10 CFR Part 960, and 40 CFR Part 191. Complete study plans for this part of the project were prepared by the USGS and approved by the DOE in August and September of 1990. The US Bureau of Reclamation (Reclamation) was selected by the USGS as a contractor to provide probable maximum flood (PMF) magnitudes and associated inundation maps for preliminary engineering design of the surface facilities at Yucca Mountain. These PMF peak flow estimates are necessary for successful waste repository design and construction. The PMF technique was chosen for two reasons: (1) this technique complies with ANSI requirements that PMF technology be used in the design of nuclear related facilities (ANSI/ANS, 1981), and (2) the PMF analysis has become a commonly used technology to predict a ``worst possible case`` flood scenario. For this PMF study, probable maximum precipitation (PMP) values were obtained for a local storm (thunderstorm) PMP event. These values were determined from the National Weather Services`s Hydrometeorological Report No. 49 (HMR 49).

  14. Predicting the Impact of Failure Avoidance on Checkpoint/Restart...

    Office of Scientific and Technical Information (OSTI)

    held January 20-22, 2014 in Vienna, Austria.; Related Information: Proposed for ... Scale Parallel Architectures and Systems held January 20-22, 2014 in Vienna, Austria

  15. Title 43 CFR 3206.12 What are the Minimum and Maximum Lease Sizes...

    Open Energy Info (EERE)

    .12 What are the Minimum and Maximum Lease Sizes? Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- Federal RegulationFederal Regulation: Title 43...

  16. U.S. Lower 48 States Offshore Maximum Number of Active Crews...

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

    Offshore Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 167...

  17. U.S. Lower 48 States Onshore Maximum Number of Active Crews Engaged...

    Gasoline and Diesel Fuel Update (EIA)

    Onshore Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 435 512...

  18. U.S. Maximum Number of Active Crews Engaged in Seismic Surveying...

    Gasoline and Diesel Fuel Update (EIA)

    Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 615 717 624 481...

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

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

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

  20. Heterogeneity-corrected vs -uncorrected critical structure maximum point doses in breast balloon brachytherapy

    SciTech Connect (OSTI)

    Kim, Leonard; Narra, Venkat; Yue, Ning

    2013-07-01

    Recent studies have reported potentially clinically meaningful dose differences when heterogeneity correction is used in breast balloon brachytherapy. In this study, we report on the relationship between heterogeneity-corrected and -uncorrected doses for 2 commonly used plan evaluation metrics: maximum point dose to skin surface and maximum point dose to ribs. Maximum point doses to skin surface and ribs were calculated using TG-43 and Varian Acuros for 20 patients treated with breast balloon brachytherapy. The results were plotted against each other and fit with a zero-intercept line. Max skin dose (Acuros) = max skin dose (TG-43) ? 0.930 (R{sup 2} = 0.995). The average magnitude of difference from this relationship was 1.1% (max 2.8%). Max rib dose (Acuros) = max rib dose (TG-43) ? 0.955 (R{sup 2} = 0.9995). The average magnitude of difference from this relationship was 0.7% (max 1.6%). Heterogeneity-corrected maximum point doses to the skin surface and ribs were proportional to TG-43-calculated doses. The average deviation from proportionality was 1%. The proportional relationship suggests that a different metric other than maximum point dose may be needed to obtain a clinical advantage from heterogeneity correction. Alternatively, if maximum point dose continues to be used in recommended limits while incorporating heterogeneity correction, institutions without this capability may be able to accurately estimate these doses by use of a scaling factor.

  1. Predictability and Diagnosis of Low-Frequency Climate Processes in the Pacific

    SciTech Connect (OSTI)

    Dr. Arthur J. Miller

    2008-10-15

    Predicting the climate for the coming decades requires understanding both natural and anthropogenically forced climate variability. This variability is important because it has major societal impacts, for example by causing floods or droughts on land or altering fishery stocks in the ocean. Our results fall broadly into three topics: evaluating global climate model predictions; regional impacts of climate changes over western North America; and regional impacts of climate changes over the eastern North Pacific Ocean.

  2. ECONOMIC IMPACT

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

    ECONOMIC IMPACT 2015 SANDIA NATIONAL LABORATORIES National Security Sandia's primary mission is ensuring the U.S. nuclear arsenal is safe, secure, and reliable, and can fully support our nation's deterrence policy. NUCLEAR WEAPONS DEFENSE SYSTEMS & ASSESSMENTS We provide technical solutions for global security by engineering and integrating advanced science and technology to help defend and protect the United States. Jill Hruby President and Laboratories Director "Qualified, diverse

  3. Lab Impact

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

    Impact - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

  4. Scientific Impact

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

    Scientific Impact Since its inception over twenty years ago, CAMS has achieved noteworthy scientific progress by developing new capabilities and by combining state-of-the-art tools and expertise to address important scientific challenges. Scientific Leadership CAMS scientists are recognized as scientific leaders in the field of AMS and the disciplines that it supports. Many CAMS staff participate on federal agency (NIH, NSF, NOAA and DOE) scientific review panels as well as giving a multitude

  5. EIS-0158: Final Environmental Impact Statement | Department of Energy

    Office of Environmental Management (EM)

    58: Final Environmental Impact Statement EIS-0158: Final Environmental Impact Statement Supplemental Environmental Impact Statement to the 1979 Petroleum Production at Maximum Efficient Rate, Naval Petroleum Reserve No. 1(Elk Hills), Kern County, California (This EIS supplements DOE/EIS-0012.) PDF icon EIS-0158-FEIS.pdf More Documents & Publications EA-0962: Final Environmental Assessment EA-1956: Final Environmental Assessment EIS-0012: Final

  6. Predicting Hurricanes with Supercomputers

    SciTech Connect (OSTI)

    2010-01-01

    Hurricane Emily, formed in the Atlantic Ocean on July 10, 2005, was the strongest hurricane ever to form before August. By checking computer models against the actual path of the storm, researchers can improve hurricane prediction. In 2010, NOAA researchers were awarded 25 million processor-hours on Argonne's BlueGene/P supercomputer for the project. Read more at http://go.usa.gov/OLh

  7. Predicting Individual Fuel Economy

    SciTech Connect (OSTI)

    Lin, Zhenhong; Greene, David L

    2011-01-01

    To make informed decisions about travel and vehicle purchase, consumers need unbiased and accurate information of the fuel economy they will actually obtain. In the past, the EPA fuel economy estimates based on its 1984 rules have been widely criticized for overestimating on-road fuel economy. In 2008, EPA adopted a new estimation rule. This study compares the usefulness of the EPA's 1984 and 2008 estimates based on their prediction bias and accuracy and attempts to improve the prediction of on-road fuel economies based on consumer and vehicle attributes. We examine the usefulness of the EPA fuel economy estimates using a large sample of self-reported on-road fuel economy data and develop an Individualized Model for more accurately predicting an individual driver's on-road fuel economy based on easily determined vehicle and driver attributes. Accuracy rather than bias appears to have limited the usefulness of the EPA 1984 estimates in predicting on-road MPG. The EPA 2008 estimates appear to be equally inaccurate and substantially more biased relative to the self-reported data. Furthermore, the 2008 estimates exhibit an underestimation bias that increases with increasing fuel economy, suggesting that the new numbers will tend to underestimate the real-world benefits of fuel economy and emissions standards. By including several simple driver and vehicle attributes, the Individualized Model reduces the unexplained variance by over 55% and the standard error by 33% based on an independent test sample. The additional explanatory variables can be easily provided by the individuals.

  8. Road Weather Predictions

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

    Road Weather Predictions Background The U.S. economy depends on the national highway system. According to Weather and Highways: Report of a Policy Forum, developed by the Atmospheric Policy Program of the American Meteorological Society, more than 200 million cars and trucks use the national highway system, and about 77% (by weight) of domestic freight shipments are by truck (compared with other modes of transportation). Adverse weather, including rain, snow, sleet, and fog, can easily reduce

  9. Predictive Simulation of Engines

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

    Predictive Simulation of Engines - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs

  10. Pressure Flow Scour Predictions

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

    Pressure-Flow Scour Prediction using Computational Fluid Dynamics with a Porous Media Formulation and a Moving-Grid Approach by Steven Lottes1, Tanju Sofu1, Kornel Kerenyi2, Junke Guo3, Bushra Afzal3, and Bhaskar Tulimilli4 Abstract Analysts at Argonne National Laboratory's Transportation Research and Analysis Computing Center (TRACC) and researchers at the Turner-Fairbank Highway Research Center (TFHRC), the University of Nebraska, and Northern Illinois University are collaborating to develop

  11. NREL: Transportation Research - NREL Study Predicts Fuel and Emissions

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

    Impact of Automated Mobility District NREL Study Predicts Fuel and Emissions Impact of Automated Mobility District January 21, 2016 With emerging technologies, travel behavior may shift from personal vehicles to automated transit systems. An NREL study shows that a campus-sized -- ranging from four to 10 square miles -- automated mobility district (AMD) has the potential to reduce fuel consumption and greenhouse gas emissions by 4% to 14% depending on various operating and ridership factors.

  12. Estimating the maximum potential revenue for grid connected electricity storage : arbitrage and regulation.

    SciTech Connect (OSTI)

    Byrne, Raymond Harry; Silva Monroy, Cesar Augusto.

    2012-12-01

    The valuation of an electricity storage device is based on the expected future cash ow generated by the device. Two potential sources of income for an electricity storage system are energy arbitrage and participation in the frequency regulation market. Energy arbitrage refers to purchasing (stor- ing) energy when electricity prices are low, and selling (discharging) energy when electricity prices are high. Frequency regulation is an ancillary service geared towards maintaining system frequency, and is typically procured by the independent system operator in some type of market. This paper outlines the calculations required to estimate the maximum potential revenue from participating in these two activities. First, a mathematical model is presented for the state of charge as a function of the storage device parameters and the quantities of electricity purchased/sold as well as the quantities o ered into the regulation market. Using this mathematical model, we present a linear programming optimization approach to calculating the maximum potential revenue from an elec- tricity storage device. The calculation of the maximum potential revenue is critical in developing an upper bound on the value of storage, as a benchmark for evaluating potential trading strate- gies, and a tool for capital nance risk assessment. Then, we use historical California Independent System Operator (CAISO) data from 2010-2011 to evaluate the maximum potential revenue from the Tehachapi wind energy storage project, an American Recovery and Reinvestment Act of 2009 (ARRA) energy storage demonstration project. We investigate the maximum potential revenue from two di erent scenarios: arbitrage only and arbitrage combined with the regulation market. Our analysis shows that participation in the regulation market produces four times the revenue compared to arbitrage in the CAISO market using 2010 and 2011 data. Then we evaluate several trading strategies to illustrate how they compare to the maximum potential revenue benchmark. We conclude with a sensitivity analysis with respect to key parameters.

  13. DNI-predictability_paper

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

    predictable is DNI? An evaluation of hour ahead and day ahead DNI forecasts from four different providers Tobias Gerstmaier 1 , Michael Bührer 2 , Michael Röttger 2 , Andreas Gombert 2 , Clifford W. Hansen 3 , and Joshua S. Stein 3 1 Soitec Solar GmbH, Bötzinger Str. 31, D-79111 Freiburg, Germany, phone +4976121410842, e-mail tobias.gerstmaier@soitec.com 2 Soitec Solar GmbH, Freiburg, Germany 3 Sandia National Laboratories, Albuquerque, NM, USA Abstract. Forecast DNI values in hourly

  14. Modeling the Impact of Carbon Dioxide Leakage into an Unconfined, Oxidizing Carbonate Aquifer

    SciTech Connect (OSTI)

    Bacon, Diana H.; Qafoku, Nikolla; Dai, Zhenxue; Keating, Elizabeth; Brown, Christopher F.

    2016-01-01

    Multiphase, reactive transport modeling was used to identify the mechanisms controlling trace metal release under elevated CO2 conditions from a well-characterized carbonate aquifer. Modeling was conducted for two experimental scenarios: batch experiments to simulate sudden, fast, and short-lived release of CO2 as would occur in the case of well failure during injection, and column experiments to simulate more gradual leaks such as those occurring along undetected faults, fractures, or well linings. Observed and predicted trace metal concentrations are compared to groundwater concentrations from this aquifer to determine the potential for leaking CO2 to adversely impact drinking water quality. Finally, a three-dimensional multiphase flow and reactive-transport simulation of CO2 leakage from an abandoned wellbore into a generalized model of the shallow, unconfined portion of the aquifer is used to determine potential impacts on groundwater quality. As a measure of adverse impacts on groundwater quality, both the EPAs MCL limits and the maximum trace metal concentration observed in the aquifer were used as threshold values.

  15. Evaluation of Groundwater Impacts to Support the National Environmental Policy Act Environmental Assessment for the INL Remote-Handled Low-Level Waste Disposal Project

    SciTech Connect (OSTI)

    Annette Schafer, Arthur S. Rood, A. Jeffrey Sondrup

    2011-12-23

    Groundwater impacts have been analyzed for the proposed remote-handled low-level waste disposal facility. The analysis was prepared to support the National Environmental Policy Act environmental assessment for the top two ranked sites for the proposed disposal facility. A four-phase screening and analysis approach was documented and applied. Phase I screening was site independent and applied a radionuclide half-life cut-off of 1 year. Phase II screening applied the National Council on Radiation Protection analysis approach and was site independent. Phase III screening used a simplified transport model and site-specific geologic and hydrologic parameters. Phase III neglected the infiltration-reducing engineered cover, the sorption influence of the vault system, dispersion in the vadose zone, vertical dispersion in the aquifer, and the release of radionuclides from specific waste forms. These conservatisms were relaxed in the Phase IV analysis which used a different model with more realistic parameters and assumptions. Phase I screening eliminated 143 of the 246 radionuclides in the inventory from further consideration because each had a half-life less than 1 year. An additional 13 were removed because there was no ingestion dose coefficient available. Of the 90 radionuclides carried forward from Phase I, 57 radionuclides had simulated Phase II screening doses exceeding 0.4 mrem/year. Phase III and IV screening compared the maximum predicted radionuclide concentration in the aquifer to maximum contaminant levels. Of the 57 radionuclides carried forward from Phase II, six radionuclides were identified in Phase III as having simulated future aquifer concentrations exceeding maximum contaminant limits. An additional seven radionuclides had simulated Phase III groundwater concentrations exceeding 1/100th of their respective maximum contaminant levels and were also retained for Phase IV analysis. The Phase IV analysis predicted that none of the thirteen remaining radionuclides would exceed the maximum contaminant levels for either site location. The predicted cumulative effective dose equivalent from all 13 radionuclides also was less than the dose criteria set forth in Department of Energy Order 435.1 for each site location. An evaluation of composite impacts showed one site is preferable over the other based on the potential for commingling of groundwater contamination with other facilities.

  16. Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis

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

    Xiong, Qingang; Ramirez, Emilio; Pannala, Sreekanth; Daw, C. Stuart; Xu, Fei

    2015-10-09

    The impact of bubbling bed hydrodynamics on temporal variations in the exit tar yield for biomass fast pyrolysis was investigated using computational simulations of an experimental laboratory-scale reactor. A multi-fluid computational fluid dynamics model was employed to simulate the differential conservation equations in the reactor, and this was combined with a multi-component, multi-step pyrolysis kinetics scheme for biomass to account for chemical reactions. The predicted mean tar yields at the reactor exit appear to match corresponding experimental observations. Parametric studies predicted that increasing the fluidization velocity should improve the mean tar yield but increase its temporal variations. Increases in themore » mean tar yield coincide with reducing the diameter of sand particles or increasing the initial sand bed height. However, trends in tar yield variability are more complex than the trends in mean yield. The standard deviation in tar yield reaches a maximum with changes in sand particle size. As a result, the standard deviation in tar yield increases with the increases in initial bed height in freely bubbling state, while reaches a maximum in slugging state.« less

  17. Modeling the impact of bubbling bed hydrodynamics on tar yield and its fluctuations during biomass fast pyrolysis

    SciTech Connect (OSTI)

    Xiong, Qingang; Ramirez, Emilio; Pannala, Sreekanth; Daw, C. Stuart; Xu, Fei

    2015-10-09

    The impact of bubbling bed hydrodynamics on temporal variations in the exit tar yield for biomass fast pyrolysis was investigated using computational simulations of an experimental laboratory-scale reactor. A multi-fluid computational fluid dynamics model was employed to simulate the differential conservation equations in the reactor, and this was combined with a multi-component, multi-step pyrolysis kinetics scheme for biomass to account for chemical reactions. The predicted mean tar yields at the reactor exit appear to match corresponding experimental observations. Parametric studies predicted that increasing the fluidization velocity should improve the mean tar yield but increase its temporal variations. Increases in the mean tar yield coincide with reducing the diameter of sand particles or increasing the initial sand bed height. However, trends in tar yield variability are more complex than the trends in mean yield. The standard deviation in tar yield reaches a maximum with changes in sand particle size. As a result, the standard deviation in tar yield increases with the increases in initial bed height in freely bubbling state, while reaches a maximum in slugging state.

  18. On the Stochastic Maximum Principle in Optimal Control of Degenerate Diffusions with Lipschitz Coefficients

    SciTech Connect (OSTI)

    Bahlali, Khaled Djehiche, Boualem Mezerdi, Brahim

    2007-12-15

    We establish a stochastic maximum principle in optimal control of a general class of degenerate diffusion processes with global Lipschitz coefficients, generalizing the existing results on stochastic control of diffusion processes. We use distributional derivatives of the coefficients and the Bouleau Hirsh flow property, in order to define the adjoint process on an extension of the initial probability space.

  19. Evaluation of Maximum Radionuclide Groundwater Concentrations for Basement Fill Model. Zion Station Restoration Project

    SciTech Connect (OSTI)

    Sullivan, Terry

    2014-12-02

    ZionSolutions is in the process of decommissioning the Zion Nuclear Power Plant in order to establish a new water treatment plant. There is some residual radioactive particles from the plant which need to be brought down to levels so an individual who receives water from the new treatment plant does not receive a radioactive dose in excess of 25 mrem/y?. The objectives of this report are: (a) To present a simplified conceptual model for release from the buildings with residual subsurface structures that can be used to provide an upper bound on contaminant concentrations in the fill material; (b) Provide maximum water concentrations and the corresponding amount of mass sorbed to the solid fill material that could occur in each building for use in dose assessment calculations; (c) Estimate the maximum concentration in a well located outside of the fill material; and (d) Perform a sensitivity analysis of key parameters.

  20. Three dimensional winds: A maximum cross-correlation application to elastic lidar data

    SciTech Connect (OSTI)

    Buttler, W.T.

    1996-05-01

    Maximum cross-correlation techniques have been used with satellite data to estimate winds and sea surface velocities for several years. Los Alamos National Laboratory (LANL) is currently using a variation of the basic maximum cross-correlation technique, coupled with a deterministic application of a vector median filter, to measure transverse winds as a function of range and altitude from incoherent elastic backscatter lidar (light detection and ranging) data taken throughout large volumes within the atmospheric boundary layer. Hourly representations of three-dimensional wind fields, derived from elastic lidar data taken during an air-quality study performed in a region of complex terrain near Sunland Park, New Mexico, are presented and compared with results from an Environmental Protection Agency (EPA) approved laser doppler velocimeter. The wind fields showed persistent large scale eddies as well as general terrain-following winds in the Rio Grande valley.

  1. Enhancement of maximum attainable ion energy in the radiation pressure acceleration regime using a guiding structure

    SciTech Connect (OSTI)

    Bulanov, S. S.; Esarey, E.; Schroeder, C. B.; Bulanov, S. V.; Esirkepov, T. Zh.; Kando, M.; Pegoraro, F.; Leemans, W. P.

    2015-03-13

    Radiation Pressure Acceleration is a highly efficient mechanism of laser driven ion acceleration, with the laser energy almost totally transferrable to the ions in the relativistic regime. There is a fundamental limit on the maximum attainable ion energy, which is determined by the group velocity of the laser. In the case of a tightly focused laser pulses, which are utilized to get the highest intensity, another factor limiting the maximum ion energy comes into play, the transverse expansion of the target. Transverse expansion makes the target transparent for radiation, thus reducing the effectiveness of acceleration. Utilization of an external guiding structure for the accelerating laser pulse may provide a way of compensating for the group velocity and transverse expansion effects.

  2. Direct tests of micro channel plates as the active element of a new shower maximum detector

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

    Ronzhin, A.; Los, S.; Ramberg, E.; Apresyan, A.; Xie, S.; Spiropulu, M.; Kim, H.

    2015-05-22

    We continue the study of micro channel plates (MCP) as the active element of a shower maximum (SM) detector. We present below test beam results obtained with MCPs detecting directly secondary particles of an electromagnetic shower. The MCP efficiency to shower particles is close to 100%. In conclusion, the time resolution obtained for this new type of the SM detector is at the level of 40 ps.

  3. Hydrodynamic equations for electrons in graphene obtained from the maximum entropy principle

    SciTech Connect (OSTI)

    Barletti, Luigi

    2014-08-15

    The maximum entropy principle is applied to the formal derivation of isothermal, Euler-like equations for semiclassical fermions (electrons and holes) in graphene. After proving general mathematical properties of the equations so obtained, their asymptotic form corresponding to significant physical regimes is investigated. In particular, the diffusive regime, the Maxwell-Boltzmann regime (high temperature), the collimation regime and the degenerate gas limit (vanishing temperature) are considered.

  4. Direct tests of micro channel plates as the active element of a new shower maximum detector

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

    Ronzhin, A.; Los, S.; Ramberg, E.; Apresyan, A.; Xie, S.; Spiropulu, M.; Kim, H.

    2015-05-22

    We continue the study of micro channel plates (MCP) as the active element of a shower maximum (SM) detector. We present below test beam results obtained with MCPs detecting directly secondary particles of an electromagnetic shower. The MCP efficiency to shower particles is close to 100%. Furthermore, the time resolution obtained for this new type of the SM detector is at the level of 40 ps.

  5. ARM - Predictions of Climate Change

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

    TeachersTopic ListPredictions of Climate Change Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Predictions of Climate Change There are no accurate predictions of what will happen to earth's climate with an increase in greenhouse gases. The climate system is very complex, so that scientists

  6. Free kick instead of cross-validation in maximum-likelihood refinement of macromolecular crystal structures

    SciTech Connect (OSTI)

    Pranikar, Jure [Institute Joef Stefan, Jamova 39, 1000 Ljubljana (Slovenia); University of Primorska, (Slovenia); Turk, Duan, E-mail: dusan.turk@ijs.si [Institute Joef Stefan, Jamova 39, 1000 Ljubljana (Slovenia); Center of Excellence for Integrated Approaches in Chemistry and Biology of Proteins, (Slovenia)

    2014-12-01

    The maximum-likelihood free-kick target, which calculates model error estimates from the work set and a randomly displaced model, proved superior in the accuracy and consistency of refinement of crystal structures compared with the maximum-likelihood cross-validation target, which calculates error estimates from the test set and the unperturbed model. The refinement of a molecular model is a computational procedure by which the atomic model is fitted to the diffraction data. The commonly used target in the refinement of macromolecular structures is the maximum-likelihood (ML) function, which relies on the assessment of model errors. The current ML functions rely on cross-validation. They utilize phase-error estimates that are calculated from a small fraction of diffraction data, called the test set, that are not used to fit the model. An approach has been developed that uses the work set to calculate the phase-error estimates in the ML refinement from simulating the model errors via the random displacement of atomic coordinates. It is called ML free-kick refinement as it uses the ML formulation of the target function and is based on the idea of freeing the model from the model bias imposed by the chemical energy restraints used in refinement. This approach for the calculation of error estimates is superior to the cross-validation approach: it reduces the phase error and increases the accuracy of molecular models, is more robust, provides clearer maps and may use a smaller portion of data for the test set for the calculation of R{sub free} or may leave it out completely.

  7. Alaska Maximum Number of Active Crews Engaged in Three-Dimensional Seismic

    Gasoline and Diesel Fuel Update (EIA)

    Surveying (Number of Elements) Three-Dimensional Seismic Surveying (Number of Elements) Alaska Maximum Number of Active Crews Engaged in Three-Dimensional Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 1 2 2 2 1 1 0 0 0 0 2001 0 0 0 0 1 1 0 0 0 0 0 0 2002 1 1 1 1 1 1 1 1 1 1 1 0 2003 0 0 1 1 1 1 1 1

  8. A New Maximum-Likelihood Change Estimator for Two-Pass SAR Coherent Change Detection.

    SciTech Connect (OSTI)

    Wahl, Daniel E.; Yocky, David A.; Jakowatz, Charles V,

    2014-09-01

    In this paper, we derive a new optimal change metric to be used in synthetic aperture RADAR (SAR) coherent change detection (CCD). Previous CCD methods tend to produce false alarm states (showing change when there is none) in areas of the image that have a low clutter-to-noise power ratio (CNR). The new estimator does not suffer from this shortcoming. It is a surprisingly simple expression, easy to implement, and is optimal in the maximum-likelihood (ML) sense. The estimator produces very impressive results on the CCD collects that we have tested.

  9. Normalized Elution Time Prediction Utility

    Energy Science and Technology Software Center (OSTI)

    2011-02-17

    This program is used to compute the predicted normalized elution time (NET) for a list of peptide sequences. It includes the Kangas/Petritis neural network trained model, the Krokhin hydrophobicity model, and the Mant hydrophobicity model. In addition, it can compute the predicted strong cation exchange (SCX) fraction (on a 0 to 1 scale) in which a given peptide will appear.

  10. Impact and structural analysis of the INEL 55 gallon recycled shielded storage container

    SciTech Connect (OSTI)

    Richins, W.D.

    1996-07-01

    The INEL Recycled Shielded Storage Containers (RSSC) are designed primarily for the transportation and storage of mixed RH-TRU solid waste using recycled, potentially contaminated lead and stainless steel construction materials. Two versions of the RSSC have been developed accommodating either 30 or 55 gallon drums. This report addresses the structural qualification of the 55 gallon version of the RSSC to DOT 7A Type A requirements. The controlling qualification test is a 4 ft drop onto a rigid surface. During and after this test, the container contents must remain within the container and shielding must not be reduced. The container is also designed to withstand stacking, internal pressure, lifting loads, tiedown failure, penetration, and a range of temperatures. Nonlinear dynamic finite element analyses were performed using a range of material properties. Loads in the major connections and strains in the stainless steel and lead were monitored as a function of time during impact analyses for three simulated drop orientations. Initial results were used to develop the final design. For the final design, the stainless steel and lead have maximum strains well below ultimate levels except at an impact corner where additional deformation is acceptable. The predicted loads in the connections indicate that some yielding will occur but the containment and shielding will remain intact. The results presented here provide assurance that the container will pass the DOT 7A Type A drop tests as well as the other structural requirements.

  11. Analysis to determine the maximum dimensions of flexible apertures in sensored security netting products.

    SciTech Connect (OSTI)

    Murton, Mark; Bouchier, Francis A.; vanDongen, Dale T.; Mack, Thomas Kimball; Cutler, Robert Paul; Ross, Michael P.

    2013-08-01

    Although technological advances provide new capabilities to increase the robustness of security systems, they also potentially introduce new vulnerabilities. New capability sometimes requires new performance requirements. This paper outlines an approach to establishing a key performance requirement for an emerging intrusion detection sensor: the sensored net. Throughout the security industry, the commonly adopted standard for maximum opening size through barriers is a requirement based on square inches-typically 96 square inches. Unlike standard rigid opening, the dimensions of a flexible aperture are not fixed, but variable and conformable. It is demonstrably simple for a human intruder to move through a 96-square-inch opening that is conformable to the human body. The longstanding 96-square-inch requirement itself, though firmly embedded in policy and best practice, lacks a documented empirical basis. This analysis concluded that the traditional 96-square-inch standard for openings is insufficient for flexible openings that are conformable to the human body. Instead, a circumference standard is recommended for these newer types of sensored barriers. The recommended maximum circumference for a flexible opening should be no more than 26 inches, as measured on the inside of the netting material.

  12. Estimates of maximum strains induced in buried pipelines by dynamic loading

    SciTech Connect (OSTI)

    Fernandez, G.; Al-Chaar, G.; Brady, P.

    1995-12-31

    An evaluation of pipe strains measured during full scale blast in-situ tests was carried out to assess the effects produced by a nearby quarry blast in a buried, steel pipeline carrying pressurized gas. The result of the blast tests indicated that the magnitude of the maximum circumferential strain is equal or larger than the magnitude of the maximum axial strain measured in the pipe. It was also observed that circumferential strains can develop simultaneously with the dynamic-induced axial strains, resulting in a more critical loading condition than the one contemplated by the ASCE (1983) design guidelines for seismic loading. This behavior can become critical in pressurized pipes where significant circumferential stresses are already present under normal operating conditions. Based on the results of these tests, recommendations for including circumferential strains are suggested to the ASCE (1983) Design Guidelines. Consideration should be given to a compressive wave traveling at a high angle which respect to the longitudinal axis of the pipe which can induce squeezing or ovaling of the pipe section, resulting in significant circumferential strains in the pipe.

  13. NREL: Jobs and Economic Development Impact (JEDI) Models - About JEDI

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

    Models Models The Jobs and Economic Development Impact (JEDI) models are user-friendly screening tools that estimate the economic impacts of constructing and operating power plants, fuel production facilities, and other projects at the local (usually state) level. JEDI results are intended to be estimates, not precise predictions. Based on user-entered project-specific data or default inputs (derived from industry norms), JEDI estimates the number of jobs and economic impacts to a local area

  14. Restarting TMI unit one: social and psychological impacts

    SciTech Connect (OSTI)

    Sorensen, J.; Soderstrom, J.; Bolin, R.; Copenhaver, E.; Carnes, S.

    1983-12-01

    A technical background is provided for preparing an environmental assessment of the social and psychological impacts of restarting the undamaged reactor at Three Mile Island (TMI). Its purpose is to define the factors that may cause impacts, to define what those impacts might be, and to make a preliminary assessment of how impacts could be mitigated. It does not attempt to predict or project the magnitude of impacts. Four major research activities were undertaken: a literature review, focus-group discussions, community profiling, and community surveys. As much as possible, impacts of the accident at Unit 2 were differentiated from the possible impacts of restarting Unit 1. It is concluded that restart will generate social conflict in the TMI vicinity which could lead to adverse effects. Furthermore, between 30 and 50 percent of the population possess characteristics which are associated with vulnerability to experiencing negative impacts. Adverse effects, however, can be reduced with a community-based mitigation strategy.

  15. DOE, USDA, and NSF Launch Joint Climate Change Prediction Research Program

    Energy Savers [EERE]

    | Department of Energy DOE, USDA, and NSF Launch Joint Climate Change Prediction Research Program DOE, USDA, and NSF Launch Joint Climate Change Prediction Research Program March 22, 2010 - 12:00am Addthis Washington, DC - The U.S. Departments of Energy and Agriculture and the National Science Foundation (NSF) announced the launch of a joint research program to produce high-resolution models for predicting climate change and its resulting impacts. Called Decadal and Regional Climate

  16. Original Impact Calculations

    Broader source: Energy.gov [DOE]

    Original Impact Calculations, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  17. Preliminary Impact Evaluation BBNP

    Broader source: Energy.gov [DOE]

    Preliminary Impact Evaluation of the U.S. Department of Energy's Better Buildings Neighborhood Program, 2013.

  18. Wind Energy Impacts: Slides

    Wind Powering America (EERE)

    help to alleviate common misconceptions about wind energy. Wind Energy Impacts Photo from Invenergy LLC, NREL 14371 Wildlife impacts vary by location,* and new developments have helped to reduce these effects. Photo from LuRay Parker, NREL 17429 Wind Energy Impacts Pre- and post-development studies, educated siting, and curtailment during high-activity periods have decreased wildlife impacts.** Additional strategies are being researched to better understand and further decrease impacts.

  19. A 3D approximate maximum likelihood solver for localization of fish implanted with acoustic transmitters

    SciTech Connect (OSTI)

    Li, Xinya; Deng, Z. Daniel; USA, Richland Washington; Sun, Yannan; USA, Richland Washington; Martinez, Jayson J.; USA, Richland Washington; Fu, Tao; USA, Richland Washington; McMichael, Geoffrey A.; USA, Richland Washington; Carlson, Thomas J.; USA, Richland Washington

    2014-11-27

    Better understanding of fish behavior is vital for recovery of many endangered species including salmon. The Juvenile Salmon Acoustic Telemetry System (JSATS) was developed to observe the out-migratory behavior of juvenile salmonids tagged by surgical implantation of acoustic micro-transmitters and to estimate the survival when passing through dams on the Snake and Columbia Rivers. A robust three-dimensional solver was needed to accurately and efficiently estimate the time sequence of locations of fish tagged with JSATS acoustic transmitters, to describe in sufficient detail the information needed to assess the function of dam-passage design alternatives. An approximate maximum likelihood solver was developed using measurements of time difference of arrival from all hydrophones in receiving arrays on which a transmission was detected. Field experiments demonstrated that the developed solver performed significantly better in tracking efficiency and accuracy than other solvers described in the literature.

  20. A 3D approximate maximum likelihood solver for localization of fish implanted with acoustic transmitters

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

    Li, Xinya; Deng, Z. Daniel; USA, Richland Washington; Sun, Yannan; USA, Richland Washington; Martinez, Jayson J.; USA, Richland Washington; Fu, Tao; USA, Richland Washington; McMichael, Geoffrey A.; et al

    2014-11-27

    Better understanding of fish behavior is vital for recovery of many endangered species including salmon. The Juvenile Salmon Acoustic Telemetry System (JSATS) was developed to observe the out-migratory behavior of juvenile salmonids tagged by surgical implantation of acoustic micro-transmitters and to estimate the survival when passing through dams on the Snake and Columbia Rivers. A robust three-dimensional solver was needed to accurately and efficiently estimate the time sequence of locations of fish tagged with JSATS acoustic transmitters, to describe in sufficient detail the information needed to assess the function of dam-passage design alternatives. An approximate maximum likelihood solver was developedmore » using measurements of time difference of arrival from all hydrophones in receiving arrays on which a transmission was detected. Field experiments demonstrated that the developed solver performed significantly better in tracking efficiency and accuracy than other solvers described in the literature.« less

  1. Alaska Maximum Number of Active Crews Engaged in Two-Dimensional Seismic

    Gasoline and Diesel Fuel Update (EIA)

    Surveying (Number of Elements) Two-Dimensional Seismic Surveying (Number of Elements) Alaska Maximum Number of Active Crews Engaged in Two-Dimensional Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 1 1 1 1 0 0 0 0 0 0 2001 0 0 0 0 1 1 0 0 0 0 0 0 2002 1 1 1 1 1 1 1 1 1 1 1 1 2003 0 0 1 1 1 1 1 1 0 0 0 0 2004 0 0 0 0 0 0 0 0 0 0 0 0 2005 0 0 0 0 0 0 0 0 0 0 0 0 2006 0 0 0 0 0 0 0 0 0 0 0 0 2007 0 0 0 0 0 0 0 0 0 0 0 0 2008 0 0 0 0 0 0 0 0

  2. U.S.Lower 48 States Offshore Maximum Number of Active Crews Engaged in

    Gasoline and Diesel Fuel Update (EIA)

    Four-Dimensional Seismic Surveying (Number of Elements) Four-Dimensional Seismic Surveying (Number of Elements) U.S.Lower 48 States Offshore Maximum Number of Active Crews Engaged in Four-Dimensional Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 NA NA 0 0 0 0 0 0 0 0 0 0 2001 0 0 0 0 0 0 0 0 0 0 0 0 2002 0 0 0 0 0 0 0 0 0 0 0 0 2003 0 0 0 0 0 0 0 0 0 0 0 0 2004 0 0 0 0 0 0 0 0 0 0 0 0 2005 0 0 0 0 0 0 0 0 0 0 0 0 2006 0 0 0 0 0 0 0 0 0 0 0 0

  3. U.S.Lower 48 States Offshore Maximum Number of Active Crews Engaged in

    Gasoline and Diesel Fuel Update (EIA)

    Three-Dimensional Seismic Surveying (Number of Elements) Three-Dimensional Seismic Surveying (Number of Elements) U.S.Lower 48 States Offshore Maximum Number of Active Crews Engaged in Three-Dimensional Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 11 11 11 9 6 7 8 9 8 8 2001 7 7 9 9 8 7 8 8 9 10 10 9 2002 6 6 7 7 8 7 8 7 7 7 5 4 2003 4 4 4 4 4 4 4 4 2 3 3 5 2004 5 5 5 4 4 4 4 4 2 2 4 4 2005 4 4 6 6 6 5 5 5 5 5 5 5 2006 5 6 6 6 6 5 5 5 5

  4. U.S.Lower 48 States Offshore Maximum Number of Active Crews Engaged in

    Gasoline and Diesel Fuel Update (EIA)

    Two-Dimensional Seismic Surveying (Number of Elements) Two-Dimensional Seismic Surveying (Number of Elements) U.S.Lower 48 States Offshore Maximum Number of Active Crews Engaged in Two-Dimensional Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 7 7 6 7 6 7 7 7 7 8 2001 9 8 9 9 9 9 8 7 6 9 7 8 2002 8 9 10 9 9 9 8 8 10 10 8 7 2003 8 8 7 7 8 8 7 7 7 5 4 5 2004 5 5 5 5 5 4 4 4 4 2 1 3 2005 5 5 6 6 7 7 6 6 6 6 6 6 2006 6 6 6 5 5 7 4 3 2 2 3 3

  5. U.S.Lower 48 States Onshore Maximum Number of Active Crews Engaged in

    Gasoline and Diesel Fuel Update (EIA)

    Four-Dimensional Seismic Surveying (Number of Elements) Four-Dimensional Seismic Surveying (Number of Elements) U.S.Lower 48 States Onshore Maximum Number of Active Crews Engaged in Four-Dimensional Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 1 1 1 1 1 1 1 1 1 1 2001 1 1 1 1 1 1 1 1 1 1 1 1 2002 0 0 0 0 0 0 0 0 0 0 0 0 2003 1 0 0 0 0 0 0 0 0 0 0 0 2004 0 0 0 0 0 0 0 0 0 0 0 0 2005 0 0 0 0 0 0 0 0 0 0 0 0 2006 0 0 0 0 0 0 0 0 0 0 0 0

  6. U.S.Lower 48 States Onshore Maximum Number of Active Crews Engaged in

    Gasoline and Diesel Fuel Update (EIA)

    Three-Dimensional Seismic Surveying (Number of Elements) Three-Dimensional Seismic Surveying (Number of Elements) U.S.Lower 48 States Onshore Maximum Number of Active Crews Engaged in Three-Dimensional Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 36 36 34 37 39 40 39 41 40 41 2001 38 38 38 39 37 35 35 32 30 33 34 33 2002 32 31 26 25 24 23 26 26 28 30 27 22 2003 19 20 20 20 17 18 21 22 22 24 24 25 2004 25 27 27 27 26 30 30 31 32 34 33 32

  7. U.S.Lower 48 States Onshore Maximum Number of Active Crews Engaged in

    Gasoline and Diesel Fuel Update (EIA)

    Two-Dimensional Seismic Surveying (Number of Elements) Two-Dimensional Seismic Surveying (Number of Elements) U.S.Lower 48 States Onshore Maximum Number of Active Crews Engaged in Two-Dimensional Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 4 4 3 5 4 4 3 4 4 5 2001 5 6 6 7 7 6 6 8 8 5 7 7 2002 6 9 9 7 8 9 8 7 9 8 8 8 2003 8 9 8 7 7 7 7 8 8 7 7 7 2004 8 8 8 9 9 9 8 8 8 8 9 9 2005 8 8 6 8 8 9 8 8 7 6 5 6 2006 5 5 4 4 4 9 5 4 4 5 5 5 2007

  8. A new maximum-likelihood change estimator for two-pass SAR coherent change detection

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

    Wahl, Daniel E.; Yocky, David A.; Jakowatz, Jr., Charles V.; Simonson, Katherine Mary

    2016-01-11

    In past research, two-pass repeat-geometry synthetic aperture radar (SAR) coherent change detection (CCD) predominantly utilized the sample degree of coherence as a measure of the temporal change occurring between two complex-valued image collects. Previous coherence-based CCD approaches tend to show temporal change when there is none in areas of the image that have a low clutter-to-noise power ratio. Instead of employing the sample coherence magnitude as a change metric, in this paper, we derive a new maximum-likelihood (ML) temporal change estimate—the complex reflectance change detection (CRCD) metric to be used for SAR coherent temporal change detection. The new CRCD estimatormore » is a surprisingly simple expression, easy to implement, and optimal in the ML sense. As a result, this new estimate produces improved results in the coherent pair collects that we have tested.« less

  9. Weakest solar wind of the space age and the current 'MINI' solar maximum

    SciTech Connect (OSTI)

    McComas, D. J.; Angold, N.; Elliott, H. A.; Livadiotis, G.; Schwadron, N. A.; Smith, C. W.; Skoug, R. M.

    2013-12-10

    The last solar minimum, which extended into 2009, was especially deep and prolonged. Since then, sunspot activity has gone through a very small peak while the heliospheric current sheet achieved large tilt angles similar to prior solar maxima. The solar wind fluid properties and interplanetary magnetic field (IMF) have declined through the prolonged solar minimum and continued to be low through the current mini solar maximum. Compared to values typically observed from the mid-1970s through the mid-1990s, the following proton parameters are lower on average from 2009 through day 79 of 2013: solar wind speed and beta (?11%), temperature (?40%), thermal pressure (?55%), mass flux (?34%), momentum flux or dynamic pressure (?41%), energy flux (?48%), IMF magnitude (?31%), and radial component of the IMF (?38%). These results have important implications for the solar wind's interaction with planetary magnetospheres and the heliosphere's interaction with the local interstellar medium, with the proton dynamic pressure remaining near the lowest values observed in the space age: ?1.4 nPa, compared to ?2.4 nPa typically observed from the mid-1970s through the mid-1990s. The combination of lower magnetic flux emergence from the Sun (carried out in the solar wind as the IMF) and associated low power in the solar wind points to the causal relationship between them. Our results indicate that the low solar wind output is driven by an internal trend in the Sun that is longer than the ?11 yr solar cycle, and they suggest that this current weak solar maximum is driven by the same trend.

  10. A predictive standard model for heavy electron systems

    SciTech Connect (OSTI)

    Yang, Yifeng; Curro, N J; Fisk, Z; Pines, D

    2010-01-01

    We propose a predictive standard model for heavy electron systems based on a detailed phenomenological two-fluid description of existing experimental data. It leads to a new phase diagram that replaces the Doniach picture, describes the emergent anomalous scaling behavior of the heavy electron (Kondo) liquid measured below the lattice coherence temperature, T*, seen by many different experimental probes, that marks the onset of collective hybridization, and enables one to obtain important information on quantum criticality and the superconducting/antiferromagnetic states at low temperatures. Because T* is {approx} J{sup 2} {rho}/2, the nearest neighbor RKKY interaction, a knowledge of the single-ion Kondo coupling, J, to the background conduction electron density of states, {rho}, makes it possible to predict Kondo liquid behavior, and to estimate its maximum superconducting transition temperature in both existing and newly discovered heavy electron families.

  11. Predictive Simulation | Department of Energy

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

    Predictive Simulation Predictive Simulation Empirical To First Principle Models Computing tools currently used in nuclear industry and regulatory practice are based primarily on empirical math models to approximate, or fit, existing experimental data. Many have a pedigree reaching back to the 1970s and 1980s and were designed to support decision making and evaluate everything from behavior of individual fuel pellets to severe accident scenarios for an entire power plant. Programs like SAPHIRE,

  12. Extended maximum likelihood halo-independent analysis of dark matter direct detection data

    SciTech Connect (OSTI)

    Gelmini, Graciela B.; Georgescu, Andreea; Gondolo, Paolo; Huh, Ji-Haeng

    2015-11-24

    We extend and correct a recently proposed maximum-likelihood halo-independent method to analyze unbinned direct dark matter detection data. Instead of the recoil energy as independent variable we use the minimum speed a dark matter particle must have to impart a given recoil energy to a nucleus. This has the advantage of allowing us to apply the method to any type of target composition and interaction, e.g. with general momentum and velocity dependence, and with elastic or inelastic scattering. We prove the method and provide a rigorous statistical interpretation of the results. As first applications, we find that for dark matter particles with elastic spin-independent interactions and neutron to proton coupling ratio f{sub n}/f{sub p}=−0.7, the WIMP interpretation of the signal observed by CDMS-II-Si is compatible with the constraints imposed by all other experiments with null results. We also find a similar compatibility for exothermic inelastic spin-independent interactions with f{sub n}/f{sub p}=−0.8.

  13. The Impact of Weatherization

    Broader source: Energy.gov [DOE]

    The Weatherization Assistance Program under the Recovery Act is making a serious impact in savings this summer.

  14. Maximum Diameter Measurements of Aortic Aneurysms on Axial CT Images After Endovascular Aneurysm Repair: Sufficient for Follow-up?

    SciTech Connect (OSTI)

    Baumueller, Stephan Nguyen, Thi Dan Linh Goetti, Robert Paul; Lachat, Mario; Seifert, Burkhardt; Pfammatter, Thomas Frauenfelder, Thomas

    2011-12-15

    Purpose: To assess the accuracy of maximum diameter measurements of aortic aneurysms after endovascular aneurysm repair (EVAR) on axial computed tomographic (CT) images in comparison to maximum diameter measurements perpendicular to the intravascular centerline for follow-up by using three-dimensional (3D) volume measurements as the reference standard. Materials and Methods: Forty-nine consecutive patients (73 {+-} 7.5 years, range 51-88 years), who underwent EVAR of an infrarenal aortic aneurysm were retrospectively included. Two blinded readers twice independently measured the maximum aneurysm diameter on axial CT images performed at discharge, and at 1 and 2 years after intervention. The maximum diameter perpendicular to the centerline was automatically measured. Volumes of the aortic aneurysms were calculated by dedicated semiautomated 3D segmentation software (3surgery, 3mensio, the Netherlands). Changes in diameter of 0.5 cm and in volume of 10% were considered clinically significant. Intra- and interobserver agreements were calculated by intraclass correlations (ICC) in a random effects analysis of variance. The two unidimensional measurement methods were correlated to the reference standard. Results: Intra- and interobserver agreements for maximum aneurysm diameter measurements were excellent (ICC = 0.98 and ICC = 0.96, respectively). There was an excellent correlation between maximum aneurysm diameters measured on axial CT images and 3D volume measurements (r = 0.93, P < 0.001) as well as between maximum diameter measurements perpendicular to the centerline and 3D volume measurements (r = 0.93, P < 0.001). Conclusion: Measurements of maximum aneurysm diameters on axial CT images are an accurate, reliable, and robust method for follow-up after EVAR and can be used in daily routine.

  15. Thermography instruments for predictive maintenance

    SciTech Connect (OSTI)

    Palko, E.

    1993-08-12

    Thermography (infrared imaging, or IR scanning) is not only the most versatile predictive maintenance technology available today; it is, in general, the most cost-effective. Plant engineering can apply a virtually unlimited variety of predictive maintenance instruments, but all are restricted regarding the types of existing and incipient problems they can detect. Inplant applications of thermography, however, are truly limited only by the extent of the plant engineer's imagination. Here are ways that thermography can be used to fight downtime in plants, and factors to consider when selecting the best instrument for particular circumstances.

  16. Impact of Technology | GE Global Research

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

    IMPACT The needs of the world inspire us to create technologies to build, connect, cure, move and power the world around us. I Want to See Game-Changing Technology Work & Life Cool Science STEM Education Most Popular Shuffle Information for Me Game-Changing Technology Work & Life Cool Science STEM Education Most Popular Shuffle GE Predictivity(tm) Industrial Internet Solutions » Clean Room Challenge: Nanoscientist Quiz 2 » Intelligent Rail Networks Enable Smoother Rail Traffic »

  17. Integrating Information, Science, and Technology for Prediction

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

    Integrating Information, Science, and Technology for Prediction Integrating Information, Science, and Technology for Prediction (IS&T) The Lab's four Science Pillars harness...

  18. Evaluation of Groundwater Impacts to Support the National Environmental Policy Act Environmental Assessment for the INL Remote-Handled Low-Level Waste Disposal Project

    SciTech Connect (OSTI)

    Annette Schafer; Arthur S. Rood; A. Jeffrey Sondrup

    2011-12-01

    The groundwater impacts have been analyzed for the proposed RH-LLW disposal facility. A four-step analysis approach was documented and applied. This assessment compared the predicted groundwater ingestion dose to the more restrictive of either the 25 mrem/yr all pathway dose performance objective, or the maximum contaminant limit performance objective. The results of this analysis indicate that the groundwater impacts for either proposed facility location are expected to be less than the performance objectives. The analysis was prepared to support the NEPA-EA for the top two ranking of the proposed RH-LLW sites. As such, site-specific conditions were incorporated for each set of results generated. These site-specific conditions were included to account for the transport of radionuclides through the vadose zone and through the aquifer at each site. Site-specific parameters included the thickness of vadose zone sediments and basalts, moisture characteristics of the sediments, and aquifer velocity. Sorption parameters (Kd) were assumed to be very conservative values used in Track II analysis of CERCLA sites at INL. Infiltration was also conservatively assumed to represent higher rates corresponding to disturbed soil conditions. The results of this analysis indicate that the groundwater impacts for either proposed facility location are expected to be less than the performance objectives.

  19. Evaluation of Groundwater Impacts to Support the National Environmental Policy Act Environmental Assessment for the INL Remote-Handled Low-Level Waste Disposal Project

    SciTech Connect (OSTI)

    Annette Schafer; Arthur S. Rood; A. Jeffrey Sondrup

    2010-08-01

    The groundwater impacts have been analyzed for the proposed RH-LLW disposal facility. A four-step analysis approach was documented and applied. This assessment compared the predicted groundwater ingestion dose to the more restrictive of either the 25 mrem/yr all pathway dose performance objective, or the maximum contaminant limit performance objective. The results of this analysis indicate that the groundwater impacts for either proposed facility location are expected to be less than the performance objectives. The analysis was prepared to support the NEPA-EA for the top two ranking of the proposed RH-LLW sites. As such, site-specific conditions were incorporated for each set of results generated. These site-specific conditions were included to account for the transport of radionuclides through the vadose zone and through the aquifer at each site. Site-specific parameters included the thickness of vadose zone sediments and basalts, moisture characteristics of the sediments, and aquifer velocity. Sorption parameters (Kd) were assumed to be very conservative values used in Track II analysis of CERCLA sites at INL. Infiltration was also conservatively assumed to represent higher rates corresponding to disturbed soil conditions. The results of this analysis indicate that the groundwater impacts for either proposed facility location are expected to be less than the performance objectives.

  20. Evaluation of Groundwater Impacts to Support the National Environmental Policy Act Environmental Assessment for the INL Remote-Handled Low-Level Waste Disposal Project

    SciTech Connect (OSTI)

    Annette Schafer; Arthur S. Rood; A. Jeffrey Sondrup

    2011-08-01

    The groundwater impacts have been analyzed for the proposed RH-LLW disposal facility. A four-step analysis approach was documented and applied. This assessment compared the predicted groundwater ingestion dose to the more restrictive of either the 25 mrem/yr all pathway dose performance objective, or the maximum contaminant limit performance objective. The results of this analysis indicate that the groundwater impacts for either proposed facility location are expected to be less than the performance objectives. The analysis was prepared to support the NEPA-EA for the top two ranking of the proposed RH-LLW sites. As such, site-specific conditions were incorporated for each set of results generated. These site-specific conditions were included to account for the transport of radionuclides through the vadose zone and through the aquifer at each site. Site-specific parameters included the thickness of vadose zone sediments and basalts, moisture characteristics of the sediments, and aquifer velocity. Sorption parameters (Kd) were assumed to be very conservative values used in Track II analysis of CERCLA sites at INL. Infiltration was also conservatively assumed to represent higher rates corresponding to disturbed soil conditions. The results of this analysis indicate that the groundwater impacts for either proposed facility location are expected to be less than the performance objectives.

  1. Benchmarking performance: Environmental impact statements in Egypt

    SciTech Connect (OSTI)

    Badr, El-Sayed A.; Zahran, Ashraf A.; Cashmore, Matthew

    2011-04-15

    Environmental impact assessment (EIA) was formally introduced in Egypt in 1994. This short paper evaluates 'how well' the EIA process is working in practice in Egypt, by reviewing the quality of 45 environmental impact statements (EISs) produced between 2000 and 2007 for a variety of project types. The Lee and Colley review package was used to assess the quality of the selected EISs. About 69% of the EISs sampled were found to be of a satisfactory quality. An assessment of the performance of different elements of the EIA process indicates that descriptive tasks tend to be performed better than scientific tasks. The quality of core elements of EIA (e.g., impact prediction, significance evaluation, scoping and consideration of alternatives) appears to be particularly problematic. Variables that influence the quality of EISs are identified and a number of broad recommendations are made for improving the effectiveness of the EIA system.

  2. Multiplexed Primer Prediction for PCR

    Energy Science and Technology Software Center (OSTI)

    2007-07-23

    MPP predicts sets of multiplex-compatible primers for Polymerase Chain Reaction (PCR), finding a near minimal set of primers such that at least one amplicon will be generated from every target sequence in the input file. The code finds highly conserved oligos that are suitable as primers, according to user-specified desired primer characteristics such as length, melting temperature, and amplicon length. The primers are predicted not to form unwanted dimer or hairpin structures. The target sequencesmore » used as input can be diverse, since no multiple sequence alighment is required. The code is scalable, taking up to tens of thousands of sequences as input, and works, for example, to find a "universal primer set" for all viral genomes provided as a single input file. The code generates a periodic check-point file, thus in the event of premature execution termination, the application can be restarted from the last check-point file.« less

  3. Evaluation of a photovoltaic energy mechatronics system with a built-in quadratic maximum power point tracking algorithm

    SciTech Connect (OSTI)

    Chao, R.M.; Ko, S.H.; Lin, I.H.; Pai, F.S.; Chang, C.C.

    2009-12-15

    The historically high cost of crude oil price is stimulating research into solar (green) energy as an alternative energy source. In general, applications with large solar energy output require a maximum power point tracking (MPPT) algorithm to optimize the power generated by the photovoltaic effect. This work aims to provide a stand-alone solution for solar energy applications by integrating a DC/DC buck converter to a newly developed quadratic MPPT algorithm along with its appropriate software and hardware. The quadratic MPPT method utilizes three previously used duty cycles with their corresponding power outputs. It approaches the maximum value by using a second order polynomial formula, which converges faster than the existing MPPT algorithm. The hardware implementation takes advantage of the real-time controller system from National Instruments, USA. Experimental results have shown that the proposed solar mechatronics system can correctly and effectively track the maximum power point without any difficulties. (author)

  4. Community impact documents

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

    Community impact documents Community impact documents Fact sheets, program summaries, and other documents provide insight into the Laboratory's community efforts and impact in Northern New Mexico. Contacts Kathy Keith Community Relations & Partnerships (505) 665-4400 Email Making a difference in Northern New Mexico Fact sheets by county Los Alamos (pdf) Rio Arriba (pdf) San Miguel and Mora (pdf) Santa Fe (pdf) Taos (pdf) General Community Commitment Plan (pdf) | Archive Community Leaders

  5. Infrastructure Impacts | NISAC

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

    NISACInfrastructure Impacts content top National Population, Economic, and Infrastructure Impacts of Pandemic Influenza with Strategic Recommendations Posted by Admin on Mar 2, 2012 in | Comments 0 comments Results of NISAC's two-year study on the potential impacts of pandemic influenza in the United States were published in October 2007 and released to the public in 2008. The summary report and supplemental analysis reports can be downloaded from the column to the right. Pandemic Influenza

  6. Environmental Impact Statement Explained

    Broader source: Energy.gov [DOE]

    The National Environmental Policy Act (NEPA) requires Federal agencies to prepare an Environmental Impact Statement (EIS) for all major Federal actions that may significantly affect the quality of...

  7. National Laboratory Impact Initiative

    Broader source: Energy.gov [DOE]

    The National Laboratory Impact Initiative supports the relationship between the Office of Energy Efficiency & Renewable Energy and the national laboratory enterprise.  The national laboratories...

  8. NREL: Innovation Impact - Bioenergy

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

    and catalytic conversion, for development to the pilot scale. Learn More Learn more Close Learn more about NREL's bioenergy innovation impacts. Photo and composite photo...

  9. Key factors for determining groundwater impacts due to leakage from geologic carbon sequestration reservoirs

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

    Carroll, Susan A.; Keating, Elizabeth; Mansoor, Kayyum; Dai, Zhenxue; Sun, Yunwei; Trainor-Guitton, Whitney; Brown, Chris; Bacon, Diana

    2014-09-07

    The National Risk Assessment Partnership (NRAP) is developing a science-based toolset for the analysis of potential impacts to groundwater chemistry from CO2 injection (www.netldoe.gov/nrap). The toolset adopts a stochastic approach in which predictions address uncertainties in shallow groundwater and leakage scenarios. It is derived from detailed physics and chemistry simulation results that are used to train more computationally efficient models, referred to here as reduced-order models (ROMs), for each component system. In particular, these tools can be used to help regulators and operators understand the expected sizes and longevity of plumes in pH, TDS, and dissolved metals that could resultmore » from a leakage of brine and/or CO2 from a storage reservoir into aquifers. This information can inform, for example, decisions on monitoring strategies that are both effective and efficient. We have used this approach to develop predictive reduced-order models for two common types of reservoirs, but the approach could be used to develop a model for a specific aquifer or other common types of aquifers. In this paper we describe potential impacts to groundwater quality due to CO2 and brine leakage, discuss an approach to calculate thresholds under which no impact to groundwater occurs, describe the time scale for impact on groundwater, and discuss the probability of detecting a groundwater plume should leakage occur. To facilitate this, multi-phase flow and reactive transport simulations and emulations were developed for two classes of aquifers, considering uncertainty in leakage source terms and aquifer hydrogeology. We targeted an unconfined fractured carbonate aquifer based on the Edwards aquifer in Texas and a confined alluvium aquifer based on the High Plains Aquifer in Kansas, which share characteristics typical of many drinking water aquifers in the United States. The hypothetical leakage scenarios centered on the notion that wellbores are the most likely conduits for brine and CO2 leaks. Leakage uncertainty was based on hypothetical injection of CO2 for 50 years at a rate of 5 million tons per year into a depleted oil/gas reservoir with high permeability and, one or more wells provided leakage pathways from the storage reservoir to the overlying aquifer. This scenario corresponds to a storage site with historical oil/gas production and some poorly completed legacy wells that went undetected through site evaluation, operations, and post-closure. For the aquifer systems and leakage scenarios studied here, CO2 and brine leakage are likely to drive pH below and increase total dissolved solids (TDS) above the “no-impact thresholds;” and the subsequent plumes, although small, are likely to persist for long periods of time in the absence of remediation. In these scenarios, however, risk to human health may not be significant for two reasons. First, our simulated plume volumes are much smaller than the average inter-well spacing for these representative aquifers, so the impacted groundwater would be unlikely to be pumped for drinking water. Second, even within the impacted plume volumes little water exceeds the primary maximum contamination levels.« less

  10. Environmental impact assessment of abnormal events: a follow-up study

    SciTech Connect (OSTI)

    Hunsaker, D.B. Jr.; Lee, D.W.

    1985-01-01

    Impact analyses included in environmental assessments for a selected nuclear power plant, petroleum storage facility, crude oil pipeline, and geopressure well that have experienced operational, abnormal events are compared with the data quantifying the environmental impacts of the events. Comparisons of predicted vs actual impacts suggests that prediction of the types of events and associated impacts could be improved; in some instances, impacts have been underestimated. Analysis of abnormal events is especially important in environmental assessment documents addressing a technology that is novel or unique to a particular area. Incorporation of abnormal event impact analysis into project environmental monitoring and emergency response plans can help improve these plans and can help reduce the magnitude of environmental impacts resulting from said events.

  11. Predicting Individual Affect of Health Interventions to Reduce HPV Prevalence

    SciTech Connect (OSTI)

    Corley, Courtney D.; Mihalcea, Rada; Mikler, Armin R.; Sanfilippo, Antonio P.

    2011-04-01

    Recently, human papilloma virus has been implicated to cause several throat and oral cancers and hpv is established to cause most cervical cancers. A human papilloma virus vaccine has been proven successful to reduce infection incidence in FDA clinical trials and it is currently available in the United States. Current intervention policy targets adolescent females for vaccination; however, the expansion of suggested guidelines may extend to other age groups and males as well. This research takes a first step towards automatically predicting personal beliefs, regarding health intervention, on the spread of disease. Using linguistic or statistical approaches, sentiment analysis determines a texts affective content. Self-reported HPV vaccination beliefs published in web and social media are analyzed for affect polarity and leveraged as knowledge inputs to epidemic models. With this in mind, we have developed a discrete-time model to facilitate predicting impact on the reduction of HPV prevalence due to arbitrary age and gender targeted vaccination schemes.

  12. Setting the renormalization scale in pQCD: Comparisons of the principle of maximum conformality with the sequential extended Brodsky-Lepage-Mackenzie approach

    SciTech Connect (OSTI)

    Ma, Hong -Hao; Wu, Xing -Gang; Ma, Yang; Brodsky, Stanley J.; Mojaza, Matin

    2015-05-26

    A key problem in making precise perturbative QCD (pQCD) predictions is how to set the renormalization scale of the running coupling unambiguously at each finite order. The elimination of the uncertainty in setting the renormalization scale in pQCD will greatly increase the precision of collider tests of the Standard Model and the sensitivity to new phenomena. Renormalization group invariance requires that predictions for observables must also be independent on the choice of the renormalization scheme. The well-known Brodsky-Lepage-Mackenzie (BLM) approach cannot be easily extended beyond next-to-next-to-leading order of pQCD. Several suggestions have been proposed to extend the BLM approach to all orders. In this paper we discuss two distinct methods. One is based on the Principle of Maximum Conformality (PMC), which provides a systematic all-orders method to eliminate the scale and scheme ambiguities of pQCD. The PMC extends the BLM procedure to all orders using renormalization group methods; as an outcome, it significantly improves the pQCD convergence by eliminating renormalon divergences. An alternative method is the sequential extended BLM (seBLM) approach, which has been primarily designed to improve the convergence of pQCD series. The seBLM, as originally proposed, introduces auxiliary fields and follows the pattern of the ?0-expansion to fix the renormalization scale. However, the seBLM requires a recomputation of pQCD amplitudes including the auxiliary fields; due to the limited availability of calculations using these auxiliary fields, the seBLM has only been applied to a few processes at low orders. In order to avoid the complications of adding extra fields, we propose a modified version of seBLM which allows us to apply this method to higher orders. As a result, we then perform detailed numerical comparisons of the two alternative scale-setting approaches by investigating their predictions for the annihilation cross section ratio Re+e at four-loop order in pQCD.

  13. Environmental impact report (draft)

    SciTech Connect (OSTI)

    Not Available

    1980-05-01

    The three projects as proposed by Pacific Gas and Electric Company and the environmental analysis of the projects are discussed. Sections on the natural and social environments of the proposed projects and their surrounding areas consist of descriptions of the setting, discussions of the adverse and beneficial consequences of the project, and potential mitigation measures to reduce the effects of adverse impacts. The Environmental Impact Report includes discussions of unavoidable adverse effects, irreversible changes, long-term and cumulative impacts, growth-inducing effects, and feasible alternatives to the project. (MHR)

  14. Materials Classification & Accelerated Property Predictions using...

    Office of Scientific and Technical Information (OSTI)

    Materials Classification & Accelerated Property Predictions using Machine Learning Citation Details In-Document Search Title: Materials Classification & Accelerated Property...

  15. Stimulation Prediction Models | Open Energy Information

    Open Energy Info (EERE)

    Predictive Simulator for Enhanced Geothermal Systems California Science Applications International Corporation Recovery Act: Enhanced Geothermal Systems Component Research and...

  16. Materials Classification & Accelerated Property Predictions using...

    Office of Scientific and Technical Information (OSTI)

    Title: Materials Classification & Accelerated Property Predictions using Machine Learning ... Country of Publication: United States Language: English Subject: Materials Science(36) ...

  17. predictive-models | netl.doe.gov

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

    predictive-models DOE/BC-88/1/SP. EOR Predictive Models: Handbook for Personal Computer Versions of Enhanced Oil Recovery Predictive Models. BPO Staff. February 1988. 76 pp. NTIS Order No. DE89001204. FORTRAN source code and executable programs for the five EOR Predictive Models shown below are available. The five recovery processes modeled are Steamflood, In-Situ Combustion, Polymer, Chemical Flooding, and CO2 Miscible Flooding. The models are available individually. Min Req.: IBM PC/XT, PS-2,

  18. Integrating Information, Science, and Technology for Prediction

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

    Integrating Information, Science, and Technology for Prediction Integrating Information, Science, and Technology for Prediction (IS&T) The Lab's four Science Pillars harness our scientific capabilities for national security solutions. Contacts Pillar Champion John Sarrao Email IS&T banner Integrating Information, Science, and Technology for Prediction Overview The Integrating Information, Science, and Technology for Prediction (IS&T) pillar addresses: emerging challenges in national

  19. Predictive Science Academic Alliance Program | National Nuclear...

    National Nuclear Security Administration (NNSA)

    Predictive Science Academic Alliance Program | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

  20. ARM - How Do We Predict Future Changes?

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

    How Do We Predict Future Changes? Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans How Do We Predict Future Changes? As you might imagine, it is very difficult to predict changes and how expansive these changes might be. Imagine yourself as a TV weather person predicting the weather for

  1. Bioenergy Impact Posters

    Broader source: Energy.gov [DOE]

    On October 1, 2015, the U.S. Department of Energy's (DOE's) Bioenergy Technologies Office kicked off Energy Action Month by displaying bioenergy impacts posters in the DOE Forrestal Building in Washington, D.C.

  2. Room at the Mountain: Estimated Maximum Amounts of Commercial Spent Nuclear Fuel Capable of Disposal in a Yucca Mountain Repository

    SciTech Connect (OSTI)

    Kessler, John H. [Electric Power Research Institute - EPRI, 3420 Hillview Avenue, Palo Alto, California 94304 (United States); Kemeny, John [University of Arizona, Tucson AZ 85721 (United States); King, Fraser [Integrity Corrosion Consulting, Ltd., 6732 Silverview Drive NW, Calgary, Alberta (Canada); Ross, Alan M. [Alan M. Ross and Associates, 1061 Gray Fox Circle Pleasanton, CA 94566 (Canada); Ross, Benjamen [Disposal Safety, Inc., Bethesda, MD 20814 (United States)

    2006-07-01

    The purpose of this paper is to present an initial analysis of the maximum amount of commercial spent nuclear fuel (CSNF) that could be emplaced into a geological repository at Yucca Mountain. This analysis identifies and uses programmatic, material, and geological constraints and factors that affect this estimation of maximum amount of CSNF for disposal. The conclusion of this initial analysis is that the current legislative limit on Yucca Mountain disposal capacity, 63,000 MTHM of CSNF, is a small fraction of the available physical capacity of the Yucca Mountain system assuming the current high-temperature operating mode (HTOM) design. EPRI is confident that at least four times the legislative limit for CSNF ({approx}260,000 MTHM) can be emplaced in the Yucca Mountain system. It is possible that with additional site characterization, upwards of nine times the legislative limit ({approx}570,000 MTHM) could be emplaced. (authors)

  3. Measurement of the Depth of Maximum of Extensive Air Showers above 10^18 eV

    SciTech Connect (OSTI)

    Abraham, J.; Abreu, P.; Aglietta, M.; Ahn, E.J.; Allard, D.; Allekotte, I.; Allen, J.; Alvarez-Muniz, J.; Ambrosio, M.; Anchordoqui, L.; Andringa, S.; /Lisbon, IST /Boskovic Inst., Zagreb

    2010-02-01

    We describe the measurement of the depth of maximum, X{sub max}, of the longitudinal development of air showers induced by cosmic rays. Almost 4000 events above 10{sup 18} eV observed by the fluorescence detector of the Pierre Auger Observatory in coincidence with at least one surface detector station are selected for the analysis. The average shower maximum was found to evolve with energy at a rate of (106{sub -21}{sup +35}) g/cm{sup 2}/decade below 10{sup 18.24 {+-} 0.05}eV, and (24 {+-} 3) g/cm{sup 2}/decade above this energy. The measured shower-to-shower fluctuations decrease from about 55 to 26 g/cm{sup 2}. The interpretation of these results in terms of the cosmic ray mass composition is briefly discussed.

  4. PRIVACY IMPACT ASSESSMENT: Office

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

    Office of Information Resources - FOIAXpress Department of Energy Privacy Impact Assessment (PIA) Guidance is provided in the template. See DOE Order 206.1, Department of Energy Privacy Program, Appendix A, Privacy Impact Assessments, for requirements and additional guidance for conducting a PIA: http://www.directives.doe.gov/pdfs/doe/doetext/neword/206/02061.pdf Please complete electronically: no hand-written submissions will be accepted. This template may not be modified. MODULE 1- PRIVACY

  5. PRIVACY IMPACT ASSESSMENT: Office

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

    Office of Workforce Development for Teachers and Scientists Department of Energy Privacy Impact Assessment (PIA) Guidance is provided in the template. See DOE Order 206.1, Department of Energy Privacy Program, Appendix A, Privacy Impact Assessments, for requirements and additional guidance for conducting a PIA: http://www.directives.doe.gov/pdfs/doe/doetextineword/206/o2061.pdf Please complete electronically: no hand-written submissions will be accepted. This template may not be modified. MODULE

  6. Innovation Impact Publications | NREL

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

    Innovation Impact Publications NREL has a rich history of scientific innovation and partnering with industry in research and development across our primary areas of renewable energy and energy efficiency research: analysis, bioenergy, buildings, manufacturing, solar, transportation, and wind technologies. Learn more about NREL's Innovation Impact by viewing the fact sheets below on our key breakthrough results. Analysis NREL Case Study Leads to International Partnership In 2012, NREL analysts

  7. Test report on the Abacus 30 kW bimode{reg_sign} inverter and maximum power tracker (MPT)

    SciTech Connect (OSTI)

    Bonn, R.; Ginn, J.; Zirzow, J.

    1995-06-01

    Sandia National Laboratories conducts the photovoltaic balance of systems (BOS) program, which is sponsored by the US Department of Energy`s Office of Energy Management. Under this program, SNL lets commercialization contracts and conducts a laboratory program designed to advance BOS technology, improve BOS component reliability, and reduce the BOS life-cycle-cost. This report details the testing of the first large US manufactured hybrid inverter and its associated maximum power tracker.

  8. SRS Economic Impact Study - SRSCRO

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

    the SRSCRO commissioned an Economic Impact Study to examine both SRS's value to the economy, as well as its overall impact on five SRSCRO counties, Aiken, Allendale, and...

  9. Prediction of Gas Leak Tightness of Superplastically Formed Products

    SciTech Connect (OSTI)

    Snippe, Corijn H. C.; Meinders, T.

    2010-06-15

    In some applications, in this case an aluminium box in a subatomic particle detector containing highly sensitive detecting devices, it is important that a formed sheet should show no gas leak from one side to the other. In order to prevent a trial-and-error procedure to make this leak tight box, a method is set up to predict if a formed sheet conforms to the maximum leak constraint. The technique of superplastic forming (SPF) is used in order to attain very high plastic strains before failure. Since only a few of these boxes are needed, this makes, this generally slow, process an attractive production method. To predict the gas leak of a superplastically formed aluminium sheet in an accurate way, finite element simulations are used in combination with a user-defined material model. This constitutive model couples the leak rate with the void volume fraction. This void volume fraction is then dependent on both the equivalent plastic strain and the applied hydrostatic pressure during the bulge process (backpressure).

  10. FEMA Asteroid Impact Tabletop Exercise Simulations

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

    Boslough, Mark; Jennings, Barbara; Carvey, Brad; Fogleman, William

    2015-05-19

    We describe the computational simulations and damage assessments that we provided in support of a tabletop exercise (TTX) at the request of NASA's Near-Earth Objects Program Office. The overall purpose of the exercise was to assess leadership reactions, information requirements, and emergency management responses to a hypothetical asteroid impact with Earth. The scripted exercise consisted of discovery, tracking, and characterization of a hypothetical asteroid; inclusive of mission planning, mitigation, response, impact to population, infrastructure and GDP, and explicit quantification of uncertainty. Participants at the meeting included representatives of NASA, Department of Defense, Department of State, Department of Homeland Security/Federal Emergencymore » Management Agency (FEMA), and the White House. The exercise took place at FEMA headquarters. Sandia's role was to assist the Jet Propulsion Laboratory (JPL) in developing the impact scenario, to predict the physical effects of the impact, and to forecast the infrastructure and economic losses. We ran simulations using Sandia's CTH hydrocode to estimate physical effects on the ground, and to produce contour maps indicating damage assessments that could be used as input for the infrastructure and economic models. We used the FASTMap tool to provide estimates of infrastructure damage over the affected area, and the REAcct tool to estimate the potential economic severity expressed as changes to GDP (by nation, region, or sector) due to damage and short-term business interruptions.« less

  11. FEMA Asteroid Impact Tabletop Exercise Simulations

    SciTech Connect (OSTI)

    Boslough, Mark; Jennings, Barbara; Carvey, Brad; Fogleman, William

    2015-05-19

    We describe the computational simulations and damage assessments that we provided in support of a tabletop exercise (TTX) at the request of NASA's Near-Earth Objects Program Office. The overall purpose of the exercise was to assess leadership reactions, information requirements, and emergency management responses to a hypothetical asteroid impact with Earth. The scripted exercise consisted of discovery, tracking, and characterization of a hypothetical asteroid; inclusive of mission planning, mitigation, response, impact to population, infrastructure and GDP, and explicit quantification of uncertainty. Participants at the meeting included representatives of NASA, Department of Defense, Department of State, Department of Homeland Security/Federal Emergency Management Agency (FEMA), and the White House. The exercise took place at FEMA headquarters. Sandia's role was to assist the Jet Propulsion Laboratory (JPL) in developing the impact scenario, to predict the physical effects of the impact, and to forecast the infrastructure and economic losses. We ran simulations using Sandia's CTH hydrocode to estimate physical effects on the ground, and to produce contour maps indicating damage assessments that could be used as input for the infrastructure and economic models. We used the FASTMap tool to provide estimates of infrastructure damage over the affected area, and the REAcct tool to estimate the potential economic severity expressed as changes to GDP (by nation, region, or sector) due to damage and short-term business interruptions.

  12. Uranium Pyrophoricity Phenomena and Prediction

    SciTech Connect (OSTI)

    DUNCAN, D.R.

    2000-04-20

    We have compiled a topical reference on the phenomena, experiences, experiments, and prediction of uranium pyrophoricity for the Hanford Spent Nuclear Fuel Project (SNFP) with specific applications to SNFP process and situations. The purpose of the compilation is to create a reference to integrate and preserve this knowledge. Decades ago, uranium and zirconium fires were commonplace at Atomic Energy Commission facilities, and good documentation of experiences is surprisingly sparse. Today, these phenomena are important to site remediation and analysis of packaging, transportation, and processing of unirradiated metal scrap and spent nuclear fuel. Our document, bearing the same title as this paper, will soon be available in the Hanford document system [Plys, et al., 2000]. This paper explains general content of our topical reference and provides examples useful throughout the DOE complex. Moreover, the methods described here can be applied to analysis of potentially pyrophoric plutonium, metal, or metal hydride compounds provided that kinetic data are available. A key feature of this paper is a set of straightforward equations and values that are immediately applicable to safety analysis.

  13. Economic Impact | Jefferson Lab

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

    Jefferson Lab's Hall A Jefferson Lab generates many economic benefits for the nation and Virginia, providing many well-paying jobs for highly skilled and well-educated workers. A D D I T I O N A L L I N K S: Brochures Fact Sheets JLab Video 12 GeV Construction Economic Impact top-right bottom-left-corner bottom-right-corner economic impact Jefferson Lab generates many economic benefits. For the nation, Jefferson Lab generates $679.1 million in economic output and 4,422 jobs. The economic output

  14. Maximum mass of stable magnetized highly super-Chandrasekhar white dwarfs: stable solutions with varying magnetic fields

    SciTech Connect (OSTI)

    Das, Upasana; Mukhopadhyay, Banibrata E-mail: bm@physics.iisc.ernet.in

    2014-06-01

    We address the issue of stability of recently proposed significantly super-Chandrasekhar white dwarfs. We present stable solutions of magnetostatic equilibrium models for super-Chandrasekhar white dwarfs pertaining to various magnetic field profiles. This has been obtained by self-consistently including the effects of the magnetic pressure gradient and total magnetic density in a general relativistic framework. We estimate that the maximum stable mass of magnetized white dwarfs could be more than 3 solar mass. This is very useful to explain peculiar, overluminous type Ia supernovae which do not conform to the traditional Chandrasekhar mass-limit.

  15. The quest to predict severe weather sooner

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

    Predicting severe weather The quest to predict severe weather sooner MPAS aims to be next-generation global weather model January 29, 2016 gridded earth MPAS's variable mesh enables smooth transitions from higher resolution (over North America in this example) to coarser resolution over the rest of the globe. (Credit: UCAR) "What's going on at the other side of the globe can influence the forecast for your region," said senior scientist William Skamarock. The quest to predict severe

  16. 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.

  17. Final Technical Report: Increasing Prediction Accuracy.

    SciTech Connect (OSTI)

    King, Bruce Hardison; Hansen, Clifford; Stein, Joshua

    2015-12-01

    PV performance models are used to quantify the value of PV plants in a given location. They combine the performance characteristics of the system, the measured or predicted irradiance and weather at a site, and the system configuration and design into a prediction of the amount of energy that will be produced by a PV system. These predictions must be as accurate as possible in order for finance charges to be minimized. Higher accuracy equals lower project risk. The Increasing Prediction Accuracy project at Sandia focuses on quantifying and reducing uncertainties in PV system performance models.

  18. Analysis and prediction of aperiodic hydrodynamic oscillatory...

    Office of Scientific and Technical Information (OSTI)

    Analysis and prediction of aperiodic hydrodynamic oscillatory time series by feed-forward neural networks, fuzzy logic, and a local nonlinear predictor Citation Details In-Document ...

  19. Optimizing parameters for predicting the geochemical behavior...

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

    the geochemical behavior and performance of discrete fracture networks in geothermal systems Optimizing parameters for predicting the geochemical behavior and performance of ...

  20. Titanium ? - ? phase transformation pathway and a predicted...

    Office of Scientific and Technical Information (OSTI)

    Titanium - phase transformation pathway and a predicted metastable structure Citation Details In-Document Search This content will become publicly available on January 14,...

  1. Predictive Power Inc | Open Energy Information

    Open Energy Info (EERE)

    Woburn, Massachusetts Zip: 1801 Product: A provider of predictive monitoring and maintenance solutions for electric power substations. Coordinates: 42.479195, -71.150604...

  2. Fracture Toughness Prediction for MWCNT Reinforced Ceramics

    SciTech Connect (OSTI)

    Henager, Charles H.; Nguyen, Ba Nghiep

    2013-09-01

    This report describes the development of a micromechanics model to predict fracture toughness of multiwall carbon nanotube (MWCNT) reinforced ceramic composites to guide future experimental work for this project. The modeling work described in this report includes (i) prediction of elastic properties, (ii) development of a mechanistic damage model accounting for matrix cracking to predict the composite nonlinear stress/strain response to tensile loading to failure, and (iii) application of this damage model in a modified boundary layer (MBL) analysis using ABAQUS to predict fracture toughness and crack resistance behavior (R-curves) for ceramic materials containing MWCNTs at various volume fractions.

  3. Prediction of Novel Hydrogen Storage Reactions

    Broader source: Energy.gov [DOE]

    This presentation on the Prediction of Novel Hydrogen Storage Reactions was given at the DOE Theory Focus Session on Hydrogen Storage Materials on May 18, 2006.

  4. Prediction of External Corrosion for Steel Cylinders--2002 Report

    SciTech Connect (OSTI)

    Schmoyer, RLS

    2002-07-31

    The United States Department of Energy (DOE) manages the UF{sub 6} Cylinder Project. The project was formed to maintain and safely manage the depleted uranium hexafluoride (UF{sub 6}) stored in approximately 50,000 carbon steel cylinders. The cylinders are located at three DOE sites: the East Tennessee Technology Park (ETTP) site in Oak Ridge, Tennessee; the Paducah Gaseous Diffusion Plant (PGDP) in Paducah, Kentucky, and the Portsmouth Gaseous Diffusion Plant (PORTS) in Portsmouth, Ohio. The System Requirements Document (SRD) (LMES 1997a) delineates the requirements of the project, and the actions needed to fulfill these requirements are specified in the System Engineering Management Plan (SEMP) (LMES 1997b). This report documents activities that in whole or part satisfy specific requirements and actions stated in the UF{sub 6} Cylinder Project SRD and SEMP with respect to forecasting cylinder conditions. The results presented here supercede those presented by Lyon (1995, 1996, 1997, 1998, 2000), and Schmoyer and Lyon (2001). Many of the wall thickness projections made in this report are conservative, because they are based on the assumption that corrosion trends will continue, despite activities such as improved monitoring, relocations to better storage, painting, and other improvements in storage conditions relative to the conditions at the times most of the wall thickness measurements were made. For thin-wall cylinders (design nominal wall thickness 312.5 mils), the critical minimum wall thicknesses criteria used in this report are 0 (breach), 62.5 mils, and 250 mils (1 mil = 0.001 in.). For thick-wall cylinders (design nominal wall thickness 625 mils), the thickness criteria used in this report are 0, 62.5 mils, and 500 mils. The criteria triples are preliminary boundaries identified within the project that indicate (1) loss of material (UF{sub 6}), (2) safe handling and stacking operations, and (3) standards for off-site transport and contents transfer criteria, respectively. In general, these criteria are based on an area of wall thinning. However, the minimum thickness predicted in this report is essentially for a point--an area of about 0.01 square inches--because the thickness measurements on which the predictions are based are essentially for points. For thicknesses criteria greater than zero, conclusions based on minimum point thicknesses are conservative. Because of the interaction of UF{sub 6}, with atmospheric moisture and steel, a point breach would deteriorate in a year to one-inch diameter hole (DNFSB 1995), however, and so small area approximations should be close for the breach criteria. The most recently collected data, entered into the corrosion model database and not available for the previous report (Schmoyer and Lyon 2001), consists of evaluations of wall loss of 48 inch thin-wall cylinders: 301 cylinders at Paducah, 101 at ETTP, and 139 at Portsmouth; 14 thick-wall cylinders at Portsmouth; and 99 model 30A cylinders at Paducah. However, because of missing values, repeated measures on the same cylinders, outliers, and other data problems, however, not all of these measurements are necessarily used in the corrosion analysis. In several cases, difficulty with the data is also due to a mathematical approach to cylinder corrosion modeling that is used in this report, in Schmoyer and Lyon (2001), and in earlier reports by Lyon. Therefore, an alternative approach is also considered in this report. In previous reports, minimum wall thicknesses have been modeled indirectly through separate models of initial thickness and maximum pit depth. In order to estimate minimum wall thicknesses, the initial thickness and maximum pit depth models are combined using mathematics that assumes independence of the statistical distributions of the initial thicknesses and maximum pit depths. Initial thicknesses are modeled from wall thickness maxima measured at relatively uncorroded wall areas of each cylinder. Maximum pit depths for each cylinder are estimated as differences between the initial thickness estimates and me

  5. High Impact Technology Hub

    Broader source: Energy.gov [DOE]

    The High Impact Technology Hub is a one stop shop for information associated with technology demonstrations in occupied, operational buildings. Resources posted to Hub should accelerate the selection and evaluation of technology demonstration projects and enable transparency into DOEs market stimulation and tech to market activities.

  6. EIS-0012: Final Environmental Impact Statement

    Broader source: Energy.gov [DOE]

    Petroleum Production at Maximum Efficient Rate, Naval Petroleum Reserve No. 1 (Elk Hills), Kern County, California

  7. Adaptation strategies for health impacts of climate change in Western Australia: Application of a Health Impact Assessment framework

    SciTech Connect (OSTI)

    Spickett, Jeffery T.; Brown, Helen L.; Katscherian, Dianne

    2011-04-15

    Climate change is one of the greatest challenges facing the globe and there is substantial evidence that this will result in a number of health impacts, regardless of the level of greenhouse gas mitigation. It is therefore apparent that a combined approach of mitigation and adaptation will be required to protect public health. While the importance of mitigation is recognised, this project focused on the role of adaptation strategies in addressing the potential health impacts of climate change. The nature and magnitude of these health impacts will be determined by a number of parameters that are dependent upon the location. Firstly, climate change will vary between regions. Secondly, the characteristics of each region in terms of population and the ability to adapt to changes will greatly influence the extent of the health impacts that are experienced now and into the future. Effective adaptation measures therefore need to be developed with these differences in mind. A Health Impact Assessment (HIA) framework was used to consider the implications of climate change on the health of the population of Western Australia (WA) and to develop a range of adaptive responses suited to WA. A broad range of stakeholders participated in the HIA process, providing informed input into developing an understanding of the potential health impacts and potential adaptation strategies from a diverse sector perspective. Potential health impacts were identified in relation to climate change predictions in WA in the year 2030. The risk associated with each of these impacts was assessed using a qualitative process that considered the consequences and the likelihood of the health impact occurring. Adaptations were then developed which could be used to mitigate the identified health impacts and provide responses which could be used by Government for future decision making. The periodic application of a HIA framework is seen as an ideal tool to develop appropriate adaptation strategies to address the potential health impacts of climate change.

  8. Applications Solutions Science Predicting Materials Behavior

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

    Applications Solutions Science Predicting Materials Behavior Data Science at Scale Complex Networks Computational Co-Design Situational Awareness Energy Climate Interactions Science that Matters: Integrating Information, Science, and Technology for Prediction Implementation Plan v 3.0 February 2014 LA-UR-14-23474 Table of Contents Executive Summary ............................................................................................................ 1 Program Areas

  9. The Impact of Using Derived Fuel Consumption Maps to Predict Fuel Consumption

    Broader source: Energy.gov [DOE]

    Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010.

  10. RADIOLYTIC HYDROGEN GENERATION INSAVANNAH RIVER SITE (SRS) HIGH LEVEL WASTETANKS COMPARISON OF SRS AND HANFORDMODELING PREDICTIONS

    SciTech Connect (OSTI)

    Crawford, C; Ned Bibler, N

    2009-04-15

    In the high level waste tanks at the Savannah River Site (SRS), hydrogen is produced continuously by interaction of the radiation in the tank with water in the waste. Consequently, the vapor spaces of the tanks are purged to prevent the accumulation of H{sub 2} and possible formation of a flammable mixture in a tank. Personnel at SRS have developed an empirical model to predict the rate of H{sub 2} formation in a tank. The basis of this model is the prediction of the G value for H{sub 2} production. This G value is the number of H{sub 2} molecules produced per 100 eV of radiolytic energy absorbed by the waste. Based on experimental studies it was found that the G value for H{sub 2} production from beta radiation and from gamma radiation were essentially equal. The G value for H{sub 2} production from alpha radiation was somewhat higher. Thus, the model has two equations, one for beta/gamma radiation and one for alpha radiation. Experimental studies have also indicated that both G values are decreased by the presence of nitrate and nitrite ions in the waste. These are the main scavengers for the precursors of H{sub 2} in the waste; thus the equations that were developed predict G values for hydrogen production as a function of the concentrations of these two ions in waste. Knowing the beta/gamma and alpha heat loads in the waste allows one to predict the total generation rate for hydrogen in a tank. With this prediction a ventilation rate can be established for each tank to ensure that a flammable mixture is not formed in the vapor space in a tank. Recently personnel at Hanford have developed a slightly different model for predicting hydrogen G values. Their model includes the same precursor for H{sub 2} as the SRS model but also includes an additional precursor not in the SRS model. Including the second precursor for H{sub 2} leads to different empirical equations for predicting the G values for H{sub 2} as a function of the nitrate and nitrite concentrations in the waste. The difference in the two models has led to the questions of how different are the results predicted by the two models and which model predicts the more conservative (larger) G values. More conservative G values would predict higher H{sub 2} generation rates that would require higher ventilation rates in the SRS tanks. This report compares predictions based on the two models at various nitrate and nitrite concentrations in the SRS HLW tanks for both beta/gamma and for alpha radiation. It also compares predicted G values with those determined by actually measuring the H{sub 2} production from four SRS HLW tanks (Tanks 32H, 35H, 39H, and 42H). Lastly, the H{sub 2} generation rates predicted by the two models are compared for the 47 active SRS high level waste tanks using the most recent tank nitrate and nitrite concentrations and the beta/gamma and alpha heat loads for each tank. The predictions of the models for total H{sub 2} generation rates from the 47 active SRS waste were, for the most part, similar. For example, the predictions for both models applied to 25 tanks agreed within {+-}10% of each other. For the remaining 22 tanks, the SRS prediction was more conservative for 9 tanks (maximum 29% higher) and the Hanford prediction was more conservative for 13 tanks (maximum 19% higher). When comparing G values predicted by the equations presuming only alpha radiation or only beta/gamma was present the results were somewhat different. The results of predictions for alpha radiation, at the 47 current nitrate and nitrite concentrations in the SRS tanks indicated that all the SRS predictions were higher (up to 30%) than the Hanford predictions and thus more conservative. For beta/gamma radiation the predictions for both models agreed to {+-}10% for 18 of the combinations, the Hanford model predicted higher values (11 up to 17%) for 25 of the concentrations considered, and the SRS model predicted higher G values for the remaining two combinations (12 and 17%). For the four SRS tanks, where we compared measured G values to those predicted by the two different models, the results for two tanks (Tanks 35 and 39) were in good agreement with predictions from both models. For the other two tanks (Tanks 32 and 42) the predictions of both models were conservative. The predictions were 3 to 4X higher than the measured G values for H{sub 2} production.

  11. Reduced diurnal temperature range does not change warming impacts on ecosystem carbon balance of Mediterranean grassland mesocosms

    SciTech Connect (OSTI)

    Phillips, Claire L.; Gregg, Jillian W.; Wilson, John K.

    2011-11-01

    Daily minimum temperature (Tmin) has increased faster than daily maximum temperature (Tmax) in many parts of the world, leading to decreases in diurnal temperature range (DTR). Projections suggest these trends are likely to continue in many regions, particularly northern latitudes and in arid regions. Despite wide speculation that asymmetric warming has different impacts on plant and ecosystem production than equal-night-and-day warming, there has been little direct comparison of these scenarios. Reduced DTR has also been widely misinterpreted as a result of night-only warming, when in fact Tmin occurs near dawn, indicating higher morning as well as night temperatures. We report on the first experiment to examine ecosystem-scale impacts of faster increases in Tmin than Tmax, using precise temperature controls to create realistic diurnal temperature profiles with gradual day-night temperature transitions and elevated early morning as well as night temperatures. Studying a constructed grassland ecosystem containing species native to Oregon, USA, we found the ecosystem lost more carbon at elevated than ambient temperatures, but was unaffected by the 3C difference in DTR between symmetric warming (constantly ambient +3.5C) and asymmetric warming (dawn Tmin=ambient +5C, afternoon Tmax= ambient +2C). Reducing DTR had no apparent effect on photosynthesis, likely because temperatures were most different in the morning and late afternoon when light was low. Respiration was also similar in both warming treatments, because respiration temperature sensitivity was not sufficient to respond to the limited temperature differences between asymmetric and symmetric warming. We concluded that changes in daily mean temperatures, rather than changes in Tmin/Tmax, were sufficient for predicting ecosystem carbon fluxes in this reconstructed Mediterranean grassland system.

  12. Reduced diurnal temperature range does not change warming impacts on ecosystem carbon balance of Mediterranean grassland mesocosms

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

    Phillips, Claire L.; Gregg, Jillian W.; Wilson, John K.

    2011-11-01

    Daily minimum temperature (Tmin) has increased faster than daily maximum temperature (Tmax) in many parts of the world, leading to decreases in diurnal temperature range (DTR). Projections suggest these trends are likely to continue in many regions, particularly northern latitudes and in arid regions. Despite wide speculation that asymmetric warming has different impacts on plant and ecosystem production than equal-night-and-day warming, there has been little direct comparison of these scenarios. Reduced DTR has also been widely misinterpreted as a result of night-only warming, when in fact Tmin occurs near dawn, indicating higher morning as well as night temperatures. We reportmore » on the first experiment to examine ecosystem-scale impacts of faster increases in Tmin than Tmax, using precise temperature controls to create realistic diurnal temperature profiles with gradual day-night temperature transitions and elevated early morning as well as night temperatures. Studying a constructed grassland ecosystem containing species native to Oregon, USA, we found the ecosystem lost more carbon at elevated than ambient temperatures, but was unaffected by the 3ºC difference in DTR between symmetric warming (constantly ambient +3.5ºC) and asymmetric warming (dawn Tmin=ambient +5ºC, afternoon Tmax= ambient +2ºC). Reducing DTR had no apparent effect on photosynthesis, likely because temperatures were most different in the morning and late afternoon when light was low. Respiration was also similar in both warming treatments, because respiration temperature sensitivity was not sufficient to respond to the limited temperature differences between asymmetric and symmetric warming. We concluded that changes in daily mean temperatures, rather than changes in Tmin/Tmax, were sufficient for predicting ecosystem carbon fluxes in this reconstructed Mediterranean grassland system.« less

  13. Simulated combined abnormal environment fire calculations for aviation impacts.

    SciTech Connect (OSTI)

    Brown, Alexander L.

    2010-08-01

    Aircraft impacts at flight speeds are relevant environments for aircraft safety studies. This type of environment pertains to normal environments such as wildlife impacts and rough landings, but also the abnormal environment that has more recently been evidenced in cases such as the Pentagon and World Trade Center events of September 11, 2001, and the FBI building impact in Austin. For more severe impacts, the environment is combined because it involves not just the structural mechanics, but also the release of the fuel and the subsequent fire. Impacts normally last on the order of milliseconds to seconds, whereas the fire dynamics may last for minutes to hours, or longer. This presents a serious challenge for physical models that employ discrete time stepping to model the dynamics with accuracy. Another challenge is that the capabilities to model the fire and structural impact are seldom found in a common simulation tool. Sandia National Labs maintains two codes under a common architecture that have been used to model the dynamics of aircraft impact and fire scenarios. Only recently have these codes been coupled directly to provide a fire prediction that is better informed on the basis of a detailed structural calculation. To enable this technology, several facilitating models are necessary, as is a methodology for determining and executing the transfer of information from the structural code to the fire code. A methodology has been developed and implemented. Previous test programs at the Sandia National Labs sled track provide unique data for the dynamic response of an aluminum tank of liquid water impacting a barricade at flight speeds. These data are used to validate the modeling effort, and suggest reasonable accuracy for the dispersion of a non-combustible fluid in an impact environment. The capability is also demonstrated with a notional impact of a fuel-filled container at flight speed. Both of these scenarios are used to evaluate numeric approximations, and help provide an understanding of the quantitative accuracy of the modeling methods.

  14. Basement Fill Model Evaluation of Maximum Radionuclide Concentrations for Initial Suite of Radionuclides. Zion Station Restoration Project

    SciTech Connect (OSTI)

    Sullivan, Terry

    2014-12-10

    ZionSolutions is in the process of decommissioning the Zion Nuclear Power Plant in order to establish a new water treatment plant. There is some residual radioactive particles from the plant which need to be brought down to levels so an individual who receives water from the new treatment plant does not receive a radioactive dose in excess of 25 mrem/y? as specified in 10 CFR 20 Subpart E. The objectives of this report are: (a) To present a simplified conceptual model for release from the buildings with residual subsurface structures that can be used to provide an upper bound on radionuclide concentrations in the fill material and the water in the interstitial spaces of the fill. (b) Provide maximum water concentrations and the corresponding amount of mass sorbed to the solid fill material that could occur in each building for use by ZSRP in selecting ROCs for detailed dose assessment calculations.

  15. Report: Strategic Planning Impacts

    Office of Environmental Management (EM)

    Strategic Planning Impacts September 30, 2009 Submitted by the EMAB ARRA Implementation and Oversight Subcommittee Background: EM plans to use the influx of stimulus funding from the American Recovery and Reinvestment Act (ARRA) to fulfill compliance agreements, complete construction projects, and address the program's lower-tier activities such as decontamination and decommissioning (D&D) and soil and groundwater remediation. Using the ARRA funds to reduce the physical size of the EM

  16. Impacts | The Ames Laboratory

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

    Impacts At the MPC we provide research and developmental quantities of crucial materials that have changed the face of science. Our materials have paved the way for sonar technology used in the depths of the oceans and enabled critical scientific instruments to function in the most distant reaches of space. [EXTEND] The extensive bibliography of publications that cite the MPC (or more generically, the Ames Laboratory) as the source for the pure metals, alloys, or single crystals can provide you

  17. CBI Technology Impact Framework

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

    CBI Technology Impact Framework 2014 Building Technologies Office Peer Review Images courtesy CREE, True Manufacturing, A.O. Smith, Bernstein Associates, Cambridge Engineering, Alliance Laundry Systems, NREL Amy Jiron, amy.jiron@go.doe.gov U.S. Department of Energy Dan Chwastyk, dan.chwastyk@navigant.com Navigant Consulting Project Summary Timeline: Start date: December 2013 Planned end date: TBD (annual go/no-go) Key Milestones 1. Initial tech sweep completed; Feb 2014 2. Release of RFI; Mar

  18. THE IMPACT OF THERMAL ENGINEERING RESEARCH ON GLOBAL CLIMATE CHANGE

    SciTech Connect (OSTI)

    Phelan, Patrick; Abdelaziz, Omar; Otanicar, Todd; Phelan, Bernadette; Prasher, Ravi; Taylor, Robert; Tyagi, Himanshu

    2014-01-01

    Global climate change is recognized by many people around the world as being one of the most pressing issues facing our society today. The thermal engineering research community clearly plays an important role in addressing this critical issue, but what kind of thermal engineering research is, or will be, most impactful? In other words, in what directions should thermal engineering research be targeted in order to derive the greatest benefit with respect to global climate change? To answer this question we consider the potential reduction in greenhouse gas (GHG) emissions, coupled with potential economic impacts, resulting from thermal engineering research. Here a new model framework is introduced that allows a technological, sector-by-sector analysis of GHG emissions avoidance. For each sector, we consider the maximum reduction in CO2 emissions due to such research, and the cost effectiveness of the new efficient technologies. The results are normalized on a country-by-country basis, where we consider the USA, the European Union, China, India, and Australia as representative countries or regions. Among energy supply-side technologies, improvements in coal-burning power generation are seen as having the most beneficial CO2 and economic impacts. The one demand-side technology considered, residential space cooling, offers positive but limited impacts. The proposed framework can be extended to include additional technologies and impacts, such as water consumption.

  19. Technology's Impact on Production

    SciTech Connect (OSTI)

    Rachel Amann; Ellis Deweese; Deborah Shipman

    2009-06-30

    As part of a cooperative agreement with the United States Department of Energy (DOE) - entitled Technology's Impact on Production: Developing Environmental Solutions at the State and National Level - the Interstate Oil and Gas Compact Commission (IOGCC) has been tasked with assisting state governments in the effective, efficient, and environmentally sound regulation of the exploration and production of natural gas and crude oil, specifically in relation to orphaned and abandoned wells and wells nearing the end of productive life. Project goals include: (1) Developing (a) a model framework for prioritization and ranking of orphaned or abandoned well sites; (b) a model framework for disbursement of Energy Policy Act of 2005 funding; and (c) a research study regarding the current status of orphaned wells in the nation. (2) Researching the impact of new technologies on environmental protection from a regulatory perspective. Research will identify and document (a) state reactions to changing technology and knowledge; (b) how those reactions support state environmental conservation and public health; and (c) the impact of those reactions on oil and natural gas production. (3) Assessing emergent technology issues associated with wells nearing the end of productive life. Including: (a) location of orphaned and abandoned well sites; (b) well site remediation; (c) plugging materials; (d) plug placement; (e) the current regulatory environment; and (f) the identification of emergent technologies affecting end of life wells. New Energy Technologies - Regulating Change, is the result of research performed for Tasks 2 and 3.

  20. Erratum: "Reduced model prediction of electron temperature profiles...

    Office of Scientific and Technical Information (OSTI)

    Erratum: "Reduced model prediction of electron temperature profiles in ... Title: Erratum: "Reduced model prediction of electron temperature profiles in ...

  1. Engineering Property Prediction Tools for Tailored Polymer Composite...

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

    More Documents & Publications Engineering Property Prediction Tools for Tailored Polymer Composite Structures Vehicle Technologies Office Merit Review 2014: Predictive Engineering ...

  2. Economic Impact Analysis for EGS

    Broader source: Energy.gov [DOE]

    Project objective: To conduct an economic impact study for EGS and to develop a Geothermal Economics Calculator (GEC) tool to quantify (in economic terms) the potential job, energy and environmental impacts associated with electric power production from geothermal resources.

  3. Finding of No Significant Impact

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

    U.S. Department of Energy Finding of No Significant Impact 2 June 2001 This page intentionally left blank. U.S. Department of Energy Finding of No Significant Impact 12 June 2001 This page intentionally left blank.

  4. Threshold Values for Identification of Contamination Predicted by Reduced-Order Models

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

    Last, George V.; Murray, Christopher J.; Bott, Yi-Ju; Brown, Christopher F.

    2014-12-31

    The U.S. Department of Energy’s (DOE’s) National Risk Assessment Partnership (NRAP) Project is developing reduced-order models to evaluate potential impacts on underground sources of drinking water (USDWs) if CO2 or brine leaks from deep CO2 storage reservoirs. Threshold values, below which there would be no predicted impacts, were determined for portions of two aquifer systems. These threshold values were calculated using an interwell approach for determining background groundwater concentrations that is an adaptation of methods described in the U.S. Environmental Protection Agency’s Unified Guidance for Statistical Analysis of Groundwater Monitoring Data at RCRA Facilities.

  5. Threshold Values for Identification of Contamination Predicted by Reduced-Order Models

    SciTech Connect (OSTI)

    Last, George V.; Murray, Christopher J.; Bott, Yi-Ju; Brown, Christopher F.

    2014-12-31

    The U.S. Department of Energys (DOEs) National Risk Assessment Partnership (NRAP) Project is developing reduced-order models to evaluate potential impacts on underground sources of drinking water (USDWs) if CO2 or brine leaks from deep CO2 storage reservoirs. Threshold values, below which there would be no predicted impacts, were determined for portions of two aquifer systems. These threshold values were calculated using an interwell approach for determining background groundwater concentrations that is an adaptation of methods described in the U.S. Environmental Protection Agencys Unified Guidance for Statistical Analysis of Groundwater Monitoring Data at RCRA Facilities.

  6. Environmental Impact of Smart Grid

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

    Impact of Smart Grid January 10, 2011 2 Agenda * Review of Paper - Introduction - Key Areas of Impact - Findings - Conclusions - Recommended Topics for Further Research 3 3 Introduction Provide background for the current state of environmental impact of Smart Grid * Summarize key components of criteria pollutants from electricity and transportation sectors * Define the Smart Grid and how it can be used to reduce pollutants * Evaluate impact from Smart Grid on reducing pollutants through: -

  7. NREL: Innovation Impact Home Page

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

    Bioenergy Bioenergy Buildings Buildings Transportation Transportation Manufacturing Manufacturing Energy Systems Integration Energy Systems Integration Innovation Impact NREL...

  8. Assessing human rights impacts in corporate development projects

    SciTech Connect (OSTI)

    Salcito, Kendyl; University of Basel, P.O. Box, CH-4003 Basel; NomoGaia, 1900 Wazee Street, Suite 303, Denver, CO 80202; NewFields, LLC, Denver, CO 80202 ; Utzinger, Jrg; University of Basel, P.O. Box, CH-4003 Basel ; Weiss, Mitchell G.; Mnch, Anna K.; Singer, Burton H.; Krieger, Gary R.; Wielga, Mark; NewFields, LLC, Denver, CO 80202

    2013-09-15

    Human rights impact assessment (HRIA) is a process for systematically identifying, predicting and responding to the potential impact on human rights of a business operation, capital project, government policy or trade agreement. Traditionally, it has been conducted as a desktop exercise to predict the effects of trade agreements and government policies on individuals and communities. In line with a growing call for multinational corporations to ensure they do not violate human rights in their activities, HRIA is increasingly incorporated into the standard suite of corporate development project impact assessments. In this context, the policy world's non-structured, desk-based approaches to HRIA are insufficient. Although a number of corporations have commissioned and conducted HRIA, no broadly accepted and validated assessment tool is currently available. The lack of standardisation has complicated efforts to evaluate the effectiveness of HRIA as a risk mitigation tool, and has caused confusion in the corporate world regarding company duties. Hence, clarification is needed. The objectives of this paper are (i) to describe an HRIA methodology, (ii) to provide a rationale for its components and design, and (iii) to illustrate implementation of HRIA using the methodology in two selected corporate development projectsa uranium mine in Malawi and a tree farm in Tanzania. We found that as a prognostic tool, HRIA could examine potential positive and negative human rights impacts and provide effective recommendations for mitigation. However, longer-term monitoring revealed that recommendations were unevenly implemented, dependent on market conditions and personnel movements. This instability in the approach to human rights suggests a need for on-going monitoring and surveillance. -- Highlights: We developed a novel methodology for corporate human rights impact assessment. We piloted the methodology on two corporate projectsa mine and a plantation. Human rights impact assessment exposed impacts not foreseen in ESIA. Corporations adopted the majority of findings, but not necessarily immediately. Methodological advancements are expected for monitoring processes.

  9. Predictive Dynamic Security Assessment through Advanced Computing

    SciTech Connect (OSTI)

    Huang, Zhenyu; Diao, Ruisheng; Jin, Shuangshuang; Chen, Yousu

    2014-11-30

    Abstract— Traditional dynamic security assessment is limited by several factors and thus falls short in providing real-time information to be predictive for power system operation. These factors include the steady-state assumption of current operating points, static transfer limits, and low computational speed. This addresses these factors and frames predictive dynamic security assessment. The primary objective of predictive dynamic security assessment is to enhance the functionality and computational process of dynamic security assessment through the use of high-speed phasor measurements and the application of advanced computing technologies for faster-than-real-time simulation. This paper presents algorithms, computing platforms, and simulation frameworks that constitute the predictive dynamic security assessment capability. Examples of phasor application and fast computation for dynamic security assessment are included to demonstrate the feasibility and speed enhancement for real-time applications.

  10. New Clues in Predicting Alzheimer's Disease

    ScienceCinema (OSTI)

    Jagust, William

    2013-05-29

    Theres a new clue in the search to identify the harbingers of Alzheimers disease. More info: http://newscenter.lbl.gov/feature-stories/2008/12/16/predict-alzheimers-disease/

  11. Thermal initiation caused by fragment impact on cased explosives

    SciTech Connect (OSTI)

    Schnurr, N.M. )

    1989-01-01

    Numerical calculations have been used to predict the velocity threshold for thermal initiation of a cased explosive caused by fragment impact. A structural analysis code was used to determine temperature profiles and a thermal analysis code was used to calculate reaction rates. Results generated for the United States Air Force MK 82 bomb indicate that the velocity threshold for thermal initiation is slightly higher than that for the shock-to-detonation process. 8 refs., 5 figs., 2 tabs.

  12. Methodology for Predicting Flammable Gas Mixtures in Double Contained Receiver Tanks [SEC 1 THRU SEC 3

    SciTech Connect (OSTI)

    HEDENGREN, D.C.

    2000-01-31

    This methodology document provides an estimate of the maximum concentrations of flammable gases (ammonia, hydrogen, and methane) which could exist in the vapor space of a double-contained receiver tank (DCRT) from the simultaneous saltwell pumping of one or more single-shell tanks (SSTs). This document expands Calculation Note 118 (Hedengren et a1 1997) and removes some of the conservatism from it, especially in vapor phase ammonia predictions. The methodologies of Calculation Note 118 (Hedengren et a1 1997) are essentially identical for predicting flammable gas mixtures in DCRTs from saltwell pumping for low DCRT ventilation rates, 1e, < 1 cfm. The hydrogen generation model has also been updated in the methodology of this document.

  13. Low amplitude insult project: Structural analysis and prediction of low order reaction

    SciTech Connect (OSTI)

    Scammon, R.J.; Browning, R.V.; Middleditch, J.; Dienes, J.K.; Haberman, K.S.; Bennett, J.G.

    1998-12-31

    The low velocity impact sensitivity of PBX 9501 has been investigated through a series of experiments based on the Steven Test targets and a set of Shear Impact experiments. The authors describe calculations done using DYNA2D, SPRONTO and DYNA3D to support these, and other, low amplitude insult experiments. The calculations allow them to study pressure and strain rate variables, to investigate structural aspects of the experiment, and to predict velocities required for reaction. Structural analyses have played an active role in this project beginning with the original target design and continuing through analyses of the experimental results. Alternative designs and various ideas for active instrumentation were examined as part of the experiment evolution process. Predictions of reaction are used to guide these design studies, even though the authors do not yet have enough experimental data to fully calibrate any of the models.

  14. Impact assisted segmented cutterhead

    DOE Patents [OSTI]

    Morrell, Roger J. (Bloomington, MN); Larson, David A. (Minneapolis, MN); Ruzzi, Peter L. (Eagan, MN)

    1992-01-01

    An impact assisted segmented cutterhead device is provided for cutting various surfaces from coal to granite. The device comprises a plurality of cutting bit segments deployed in side by side relationship to form a continuous cutting face and a plurality of impactors individually associated with respective cutting bit segments. An impactor rod of each impactor connects that impactor to the corresponding cutting bit segment. A plurality of shock mounts dampening the vibration from the associated impactor. Mounting brackets are used in mounting the cutterhead to a base machine.

  15. Maneuvering impact boring head

    DOE Patents [OSTI]

    Zollinger, W. Thor (Idaho Falls, ID); Reutzel, Edward W. (Idaho Falls, ID)

    1998-01-01

    An impact boring head may comprise a main body having an internal cavity with a front end and a rear end. A striker having a head end and a tail end is slidably mounted in the internal cavity of the main body so that the striker can be reciprocated between a forward position and an aft position in response to hydraulic pressure. A compressible gas contained in the internal cavity between the head end of the striker and the front end of the internal cavity returns the striker to the aft position upon removal of the hydraulic pressure.

  16. Maneuvering impact boring head

    DOE Patents [OSTI]

    Zollinger, W.T.; Reutzel, E.W.

    1998-08-18

    An impact boring head may comprise a main body having an internal cavity with a front end and a rear end. A striker having a head end and a tail end is slidably mounted in the internal cavity of the main body so that the striker can be reciprocated between a forward position and an aft position in response to hydraulic pressure. A compressible gas contained in the internal cavity between the head end of the striker and the front end of the internal cavity returns the striker to the aft position upon removal of the hydraulic pressure. 8 figs.

  17. Predicting Hurricanes with Supercomputers | Argonne National Laboratory

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

    Predicting Hurricanes with Supercomputers Share Description Hurricane Emily, formed in the Atlantic Ocean on July 10, 2005, was the strongest hurricane ever to form before August. By checking computer models against the actual path of the storm, researchers can improve hurricane prediction. In 2010, NOAA researchers were awarded 25 million processor-hours on Argonne's BlueGene/P supercomputer for the project. Duration 0:28 Topic Programs Mathematics, computing, & computer science Modeling,

  18. DREAM tool increases space weather predictions

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

    DREAM tool increases space weather predictions DREAM tool increases space weather predictions Model addresses radiation hazards of the space environment on space systems. April 13, 2012 Scientists studying Earth's radiation belts have a new modeling tool called Dynamic Radiation Environment Assimilation Model (DREAM). Scientists studying Earth's radiation belts have a new modeling tool called Dynamic Radiation Environment Assimilation Model (DREAM). DREAM is a modeling tool that improves the

  19. Better predicting flu outbreaks with Wikipedia

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

    Better predicting flu outbreaks with Wikipedia Better predicting flu outbreaks with Wikipedia Scientists at Los Alamos National Laboratory have the ability to forecast the upcoming flu season and other infectious diseases by analyzing views of Wikipedia articles May 14, 2015 From Left: Kyle Hickmann, Nick Generous, Geoffrey Fairchild, James Hyman (back), Alina Deshpande and Sara Del Valle (front). From Left: Kyle Hickmann, Nick Generous, Geoffrey Fairchild, Reid Priedhorsky (back), Alina

  20. Predictive Technology Development and Crash Energy Management

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

    ACC 100 Predictive Technology Development and Crash Energy Management Khaled W. Shahwan, PhD - Project Leader Chair - ACC100 Chrysler Technology Center - Scientific Labs. Chrysler LLC Auburn Hills, Michigan, USA This presentation does not contain any proprietary, confidential, or otherwise restricted information Project ID: lm_09_kia 2 * Materials' cost & availability * Materials' characterization & testing standards * Universally robust and truly predictive modeling tools * Complex

  1. Validation of a 4D-PET Maximum Intensity Projection for Delineation of an Internal Target Volume

    SciTech Connect (OSTI)

    Callahan, Jason; Kron, Tomas; Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne ; Schneider-Kolsky, Michal; Dunn, Leon; Thompson, Mick; Siva, Shankar; Aarons, Yolanda; Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne ; Binns, David; Hicks, Rodney J.; Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne

    2013-07-15

    Purpose: The delineation of internal target volumes (ITVs) in radiation therapy of lung tumors is currently performed by use of either free-breathing (FB) {sup 18}F-fluorodeoxyglucose-positron emission tomography-computed tomography (FDG-PET/CT) or 4-dimensional (4D)-CT maximum intensity projection (MIP). In this report we validate the use of 4D-PET-MIP for the delineation of target volumes in both a phantom and in patients. Methods and Materials: A phantom with 3 hollow spheres was prepared surrounded by air then water. The spheres and water background were filled with a mixture of {sup 18}F and radiographic contrast medium. A 4D-PET/CT scan was performed of the phantom while moving in 4 different breathing patterns using a programmable motion device. Nine patients with an FDG-avid lung tumor who underwent FB and 4D-PET/CT and >5 mm of tumor motion were included for analysis. The 3 spheres and patient lesions were contoured by 2 contouring methods (40% of maximum and PET edge) on the FB-PET, FB-CT, 4D-PET, 4D-PET-MIP, and 4D-CT-MIP. The concordance between the different contoured volumes was calculated using a Dice coefficient (DC). The difference in lung tumor volumes between FB-PET and 4D-PET volumes was also measured. Results: The average DC in the phantom using 40% and PET edge, respectively, was lowest for FB-PET/CT (DCAir = 0.72/0.67, DCBackground 0.63/0.62) and highest for 4D-PET/CT-MIP (DCAir = 0.84/0.83, DCBackground = 0.78/0.73). The average DC in the 9 patients using 40% and PET edge, respectively, was also lowest for FB-PET/CT (DC = 0.45/0.44) and highest for 4D-PET/CT-MIP (DC = 0.72/0.73). In the 9 lesions, the target volumes of the FB-PET using 40% and PET edge, respectively, were on average 40% and 45% smaller than the 4D-PET-MIP. Conclusion: A 4D-PET-MIP produces volumes with the highest concordance with 4D-CT-MIP across multiple breathing patterns and lesion sizes in both a phantom and among patients. Freebreathing PET/CT consistently underestimates ITV when compared with 4D PET/CT for a lesion affected by respiration.

  2. Social Impact Management Plans: Innovation in corporate and public policy

    SciTech Connect (OSTI)

    Franks, Daniel M.; Vanclay, Frank

    2013-11-15

    Social Impact Assessment (SIA) has traditionally been practiced as a predictive study for the regulatory approval of major projects, however, in recent years the drivers and domain of focus for SIA have shifted. This paper details the emergence of Social Impact Management Plans (SIMPs) and undertakes an analysis of innovations in corporate and public policy that have put in place ongoing processes – assessment, management and monitoring – to better identify the nature and scope of the social impacts that might occur during implementation and to proactively respond to change across the lifecycle of developments. Four leading practice examples are analyzed. The International Finance Corporation (IFC) Performance Standards require the preparation of Environmental and Social Management Plans for all projects financed by the IFC identified as having significant environmental and social risks. Anglo American, a major resources company, has introduced a Socio-Economic Assessment Toolbox, which requires mine sites to undertake regular assessments and link these assessments with their internal management systems, monitoring activities and a Social Management Plan. In South Africa, Social and Labour Plans are submitted with an application for a mining or production right. In Queensland, Australia, Social Impact Management Plans were developed as part of an Environmental Impact Statement, which included assessment of social impacts. Collectively these initiatives, and others, are a practical realization of theoretical conceptions of SIA that include management and monitoring as core components of SIA. The paper concludes with an analysis of the implications for the practice of impact assessment including a summary of key criteria for the design and implementation of effective SIMPs. -- Highlights: • Social impact management plans are effective strategies to manage social issues. • They are developed in partnership with regulatory agencies, investors and community. • SIMPs link assessment to ongoing management and address social and community issues. • SIMPs clarify responsibilities in the management of impacts, opportunities and risks. • SIMPs demonstrate a shift to include management as a core component of SIA practice.

  3. FUEL CASK IMPACT LIMITER VULNERABILITIES

    SciTech Connect (OSTI)

    Leduc, D; Jeffery England, J; Roy Rothermel, R

    2009-02-09

    Cylindrical fuel casks often have impact limiters surrounding just the ends of the cask shaft in a typical 'dumbbell' arrangement. The primary purpose of these impact limiters is to absorb energy to reduce loads on the cask structure during impacts associated with a severe accident. Impact limiters are also credited in many packages with protecting closure seals and maintaining lower peak temperatures during fire events. For this credit to be taken in safety analyses, the impact limiter attachment system must be shown to retain the impact limiter following Normal Conditions of Transport (NCT) and Hypothetical Accident Conditions (HAC) impacts. Large casks are often certified by analysis only because of the costs associated with testing. Therefore, some cask impact limiter attachment systems have not been tested in real impacts. A recent structural analysis of the T-3 Spent Fuel Containment Cask found problems with the design of the impact limiter attachment system. Assumptions in the original Safety Analysis for Packaging (SARP) concerning the loading in the attachment bolts were found to be inaccurate in certain drop orientations. This paper documents the lessons learned and their applicability to impact limiter attachment system designs.

  4. Evaluation of WRF predicted near hub-height winds and ramp events over a Pacific Northwest site with complex terrain

    SciTech Connect (OSTI)

    Yang, Qing; Berg, Larry K.; Pekour, Mikhail S.; Fast, Jerome D.; Newsom, Rob K.; Stoelinga, Mark; Finley, Cathy

    2013-08-16

    The WRF model version 3.3 is used to simulate near hub-height winds and power ramps utilizing three commonly used planetary boundary-layer (PBL) schemes: Mellor-Yamada-Janji? (MYJ), University of Washington (UW), and Yonsei University (YSU). The predicted winds have small mean biases compared with observations. Power ramps and step changes (changes within an hour) consistently show that the UW scheme performed better in predicting up ramps under stable conditions with higher prediction accuracy and capture rates. Both YSU and UW scheme show good performance predicting up- and down- ramps under unstable conditions with YSU being slightly better for ramp durations longer than an hour. MYJ is the most successful simulating down-ramps under stable conditions. The high wind speed and large shear associated with low-level jets are frequently associated with power ramps, and the biases in predicted low-level jet explain some of the shown differences in ramp predictions among different PBL schemes. Low-level jets were observed as low as ~200 m in altitude over the Columbia Basin Wind Energy Study (CBWES) site, located in an area of complex terrain. The shear, low-level peak wind speeds, as well as the height of maximum wind speed are not well predicted. Model simulations with 3 PBL schemes show the largest variability among them under stable conditions.

  5. Fault Locating, Prediction and Protection (FLPPS)

    SciTech Connect (OSTI)

    Yinger, Robert, J.; Venkata, S., S.; Centeno, Virgilio

    2010-09-30

    One of the main objectives of this DOE-sponsored project was to reduce customer outage time. Fault location, prediction, and protection are the most important aspects of fault management for the reduction of outage time. In the past most of the research and development on power system faults in these areas has focused on transmission systems, and it is not until recently with deregulation and competition that research on power system faults has begun to focus on the unique aspects of distribution systems. This project was planned with three Phases, approximately one year per phase. The first phase of the project involved an assessment of the state-of-the-art in fault location, prediction, and detection as well as the design, lab testing, and field installation of the advanced protection system on the SCE Circuit of the Future located north of San Bernardino, CA. The new feeder automation scheme, with vacuum fault interrupters, will limit the number of customers affected by the fault. Depending on the fault location, the substation breaker might not even trip. Through the use of fast communications (fiber) the fault locations can be determined and the proper fault interrupting switches opened automatically. With knowledge of circuit loadings at the time of the fault, ties to other circuits can be closed automatically to restore all customers except the faulted section. This new automation scheme limits outage time and increases reliability for customers. The second phase of the project involved the selection, modeling, testing and installation of a fault current limiter on the Circuit of the Future. While this project did not pay for the installation and testing of the fault current limiter, it did perform the evaluation of the fault current limiter and its impacts on the protection system of the Circuit of the Future. After investigation of several fault current limiters, the Zenergy superconducting, saturable core fault current limiter was selected for installation. Because of some testing problems with the Zenergy fault current limiter, installation was delayed until early 2009 with it being put into operation on March 6, 2009. A malfunction of the FCL controller caused the DC power supply to the superconducting magnet to be turned off. This inserted the FCL impedance into the circuit while it was in normal operation causing a voltage resonance condition. While these voltages never reached a point where damage would occur on customer equipment, steps were taken to insure this would not happen again. The FCL was reenergized with load on December 18, 2009. A fault was experienced on the circuit with the FCL in operation on January 14, 2010. The FCL operated properly and reduced the fault current by about 8%, what was expected from tests and modeling. As of the end of the project, the FCL was still in operation on the circuit. The third phase of the project involved the exploration of several advanced protection ideas that might be at a state where they could be applied to the Circuit of the Future and elsewhere in the SCE electrical system. Based on the work done as part of the literature review and survey, as well as a number of internal meetings with engineering staff at SCE, a number of ideas were compiled. These ideas were then evaluated for applicability and ability to be applied on the Circuit of the Future in the time remaining for the project. Some of these basic ideas were implemented on the circuit including measurement of power quality before and after the FCL. It was also decided that we would take what was learned as part of the Circuit of the Future work and extend it to the next generation circuit protection for SCE. Also at this time, SCE put in a proposal to the DOE for the Irvine Smart Grid Demonstration using ARRA funding. SCE was successful in obtaining funding for this proposal, so it was felt that exploration of new protection schemes for this Irvine Smart Grid Demonstration would be a good use of the project resources. With this in mind, a protection system that uses fault interrupting switches, hi

  6. Modeling Momentum Transfer from Kinetic Impacts: Implications for Redirecting Asteroids

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

    Stickle, A. M.; Atchison, J. A.; Barnouin, O. S.; Cheng, A. F.; Crawford, D. A.; Ernst, C. M.; Fletcher, Z.; Rivkin, A. S.

    2015-05-19

    Kinetic impactors are one way to deflect a potentially hazardous object headed for Earth. The Asteroid Impact and Deflection Assessment (AIDA) mission is designed to test the effectiveness of this approach and is a joint effort between NASA and ESA. The NASA-led portion is the Double Asteroid Redirect Test (DART) and is composed of a ~300-kg spacecraft designed to impact the moon of the binary system 65803 Didymos. The deflection of the moon will be measured by the ESA-led Asteroid Impact Mission (AIM) (which will characterize the moon) and from ground-based observations. Because the material properties and internal structure ofmore » the target are poorly constrained, however, analytical models and numerical simulations must be used to understand the range of potential outcomes. Here, we describe a modeling effort combining analytical models and CTH simulations to determine possible outcomes of the DART impact. We examine a wide parameter space and provide predictions for crater size, ejecta mass, and momentum transfer following the impact into the moon of the Didymos system. For impacts into “realistic” asteroid types, these models produce craters with diameters on the order of 10 m, an imparted Δv of 0.5–2 mm/s and a momentum enhancement of 1.07 to 5 for a highly porous aggregate to a fully dense rock.« less

  7. Predicted Versus Actual Savings for a Low-Rise Multifamily Retrofit in Boulder, Colorado

    SciTech Connect (OSTI)

    Arena, L.; Williamson, J.

    2013-11-01

    To determine the most cost-effective methods of improving buildings, accurate analysis and prediction of the energy use of existing buildings is essential. However, multiple studies confirm that analysis methods tend to over-predict energy use in poorly insulated, leaky homes and thus, the savings associated with improving those homes. In NREL's report titled 'Assessing and Improving the Accuracy of Energy Analysis of Residential Buildings,' researchers propose a method for improving the accuracy of residential energy analysis methods. A key step in this process involves the comparisons of predicted versus metered energy use and savings. In support of this research need, CARB evaluated the retrofit of a multifamily building in Boulder, CO. The updated property is a 37 unit, 2 story apartment complex built in 1950, which underwent renovations in early 2009 to bring it into compliance with Boulder, CO's SmartRegs ordinance. Goals of the study were to: 1) evaluate predicted versus actual savings due to the improvements, 2) identify areas where the modeling assumptions may need to be changed, and 3) determine common changes made by renters that would negatively impact energy savings. In this study, CARB seeks to improve the accuracy of modeling software while assessing retrofit measures to specifically determine which are most effective for large multifamily complexes in the cold climate region. Other issues that were investigated include the effects of improving building efficiency on tenant comfort, the impact on tenant turnover rates, and the potential market barriers for this type of community scale project.

  8. Impacts of Future Climate and Emission Changes on U.S. Air Quality

    SciTech Connect (OSTI)

    Penrod, Ashley; Zhang, Yang; Wang, K.; Wu, Shiang Yuh; Leung, Lai-Yung R.

    2014-06-01

    Changes in climate and emissions will affect future air quality. In this work, simulations of present (2001-2005) and future (2026-2030) regional air quality are conducted with the newly released CMAQ version 5.0 to examine the individual and combined impacts of simulated future climate and anthropogenic emission projections on air quality over the U.S. Current (2001-2005) meteorological and chemical predictions are evaluated against observational data to assess the models capability in reproducing the seasonal differences. Overall, WRF and CMAQ perform reasonably well. Increased temperatures (up to 3.18 C) and decreased ventilation (up to 157 m in planetary boundary layer height) are found in both future winter and summer, with more prominent changes in winter. Increases in future temperatures result in increased isoprene and terpene emissions in winter and summer, driving the increase in maximum 8-h average O3 (up to 5.0 ppb) over the eastern U.S. in winter while decreases in NOx emissions drive the decrease in O3 over most of the U.S. in summer. Future concentrations of PM2.5 in winter and summer and many of its components including organic matter in winter, ammonium and nitrate in summer, and sulfate in winter and summer, decrease due to decreases in primary anthropogenic emissions and the concentrations of secondary anthropogenic pollutants and increased precipitation in winter. Future winter and summer dry and wet deposition fluxes are spatially variable and increase with increasing surface resistance and precipitation (e.g., NH4+ and NO3- dry and wet deposition fluxes increase in winter over much of the U.S.), respectively, and decrease with a decrease in ambient particulate concentrations (e.g., SO42- dry and wet deposition fluxes decrease over the eastern U.S. in summer and winter). Sensitivity simulations show that anthropogenic emission projections dominate over changes in climate in their impacts on the U.S. air quality in the near future. Changes in some regions/species, however, are dominated by climate and/or both climate and anthropogenic emissions, especially in future years that are marked by meteorological conditions conducive to poor air quality.

  9. Impact of Millimeter-Level Margins on Peripheral Normal Brain Sparing for Gamma Knife Radiosurgery

    SciTech Connect (OSTI)

    Ma, Lijun; Sahgal, Arjun; Larson, David A.; Pinnaduwage, Dilini; Fogh, Shannon; Barani, Igor; Nakamura, Jean; McDermott, Michael; Sneed, Penny

    2014-05-01

    Purpose: To investigate how millimeter-level margins beyond the gross tumor volume (GTV) impact peripheral normal brain tissue sparing for Gamma Knife radiosurgery. Methods and Materials: A mathematical formula was derived to predict the peripheral isodose volume, such as the 12-Gy isodose volume, with increasing margins by millimeters. The empirical parameters of the formula were derived from a cohort of brain tumor and surgical tumor resection cavity cases (n=15) treated with the Gamma Knife Perfexion. This was done by first adding margins from 0.5 to 3.0 mm to each individual target and then creating for each expanded target a series of treatment plans of nearly identical quality as the original plan. Finally, the formula was integrated with a published logistic regression model to estimate the treatment-induced complication rate for stereotactic radiosurgery when millimeter-level margins are added. Results: Confirmatory correlation between the nominal target radius (ie, R{sub T}) and commonly used maximum target size was found for the studied cases, except for a few outliers. The peripheral isodose volume such as the 12-Gy volume was found to increase exponentially with increasing Δ/R{sub T}, where Δ is the margin size. Such a curve fitted the data (logarithmic regression, R{sup 2} >0.99), and the 12-Gy isodose volume was shown to increase steeply with a 0.5- to 3.0-mm margin applied to a target. For example, a 2-mm margin on average resulted in an increase of 55% ± 16% in the 12-Gy volume; this corresponded to an increase in the symptomatic necrosis rate of 6% to 25%, depending on the Δ/R{sub T} values for the target. Conclusions: Millimeter-level margins beyond the GTV significantly impact peripheral normal brain sparing and should be applied with caution. Our model provides a rapid estimate of such an effect, particularly for large and/or irregularly shaped targets.

  10. Final Uranium Leasing Program Programmatic Environmental Impact...

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

    Uranium Leasing Program Programmatic Environmental Impact Statement (PEIS) Final Uranium Leasing Program Programmatic Environmental Impact Statement (PEIS) Uranium Leasing...

  11. High Impact Technology Catalyst: Technology Deployment Strategies...

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

    Catalyst: Technology Deployment Strategies High Impact Technology Catalyst: Technology Deployment Strategies The Energy Department released the High Impact Technology Catalyst: ...

  12. High Impact Technology Hub- Results

    Broader source: Energy.gov [DOE]

    Highlights, outcomes and activities to support the adoption of High Impact Technologies. Technology Highlights preview early results from current technology demonstrations. Case Studies overview...

  13. Bioenergy Impact on Wisconsin's Workforce

    Broader source: Energy.gov [DOE]

    Troy Runge, Wisconsin Bioenergy Initiative, presents on bioenergy's impact on Wisconsin's workforce development for the Biomass/Clean Cities States webinar.

  14. High Impact Technology HQ- Results

    Broader source: Energy.gov [DOE]

    Highlights, outcomes and activities to support the adoption of High Impact Technologies.  Technology Highlights preview early results from current technology demonstrations.  Case Studies overview...

  15. Environmental Impact of Smart Grid

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

    pollutants * Evaluate impact from Smart Grid on reducing pollutants through: - Demand Response - Electric Vehicles - Demand Side Management - Renewables and Distributed Energy ...

  16. Testing model for predicting spillway cavitation damage

    SciTech Connect (OSTI)

    Lee, W.; Hoopes, J.A.

    1995-12-31

    Using fuzzy mathematics a comprehensive model has been developed to predict the time, location and level (intensity) of spillway cavitation damage. Five damage levels and four factors affecting damage are used. Membership functions express the degree that each factor effects damage, and weights express the relative importance of each factor. The model has been calibrated and tested with operating data and experience from the Glen Canyon Dam left tunnel spillway, which had major cavitation damage in 1983. An error analysis for the Glen Canyon Dam left tunnel spillway gave the best ranges for model weights. Prediction of damage at other spillways (4 tunnels, 3 chutes) with functions and parameters as for the Glen Canyon Dam left tunnel spillway gave reasonable predictions of damage intensity and location and poor estimates of occurrence time in the tunnels. Chute predictions were in poor agreement with observations, indicating need for different parameter values. Finally, two membership functions with constant or time varying parameters are compared with observed results from the Glen Canyon Dam left tunnel spillway.

  17. Springback Prediction on Slit-Ring Test

    SciTech Connect (OSTI)

    Chen Xiaoming; Shi, Ming F.; Ren Feng; Xia, Z. Cedric

    2005-08-05

    Advanced high strength steels (AHSS) are increasingly being used in the automotive industry to reduce vehicle weight while improving vehicle crash performance. One of the concerns in manufacturing is springback control after stamping. Although computer simulation technologies have been successfully applied to predict stamping formability, they still face major challenges in springback prediction, particularly for AHSS. Springback analysis is very complicated and involves large deformation problems in the forming stage and mechanical multiplying effect during the elastic recovery after releasing a part from the die. Therefore, the predictions are very sensitive to the simulation parameters used. It is very critical in springback simulation to choose an appropriate material model, element formulation and contact algorithm. In this study, a springback benchmark test, the slit ring cup, is used in the springback simulation with commercially available finite element analysis (FEA) software, LS-DYNA. The sensitivity of seven simulation variables on springback predictions was investigated, and a set of parameters with stable simulation results was identified. Final simulations using the selected set of parameters were conducted on six different materials including two AHSS steels, two conventional high strength steels, one mild steel and an aluminum alloy. The simulation results are compared with experimental measurements for all six materials and a favorable result is achieved. Simulation errors as compared against test results falls within 10%.

  18. Sandia Energy - Molecular Dynamics Simulations Predict Fate of...

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

    Molecular Dynamics Simulations Predict Fate of Uranium in Sediments Home Highlights - Energy Research Molecular Dynamics Simulations Predict Fate of Uranium in Sediments Previous...

  19. Eulerian CFD Models to Predict Thermophoretic Deposition of Soot...

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

    Eulerian CFD Models to Predict Thermophoretic Deposition of Soot Particles in EGR Coolers Eulerian CFD Models to Predict Thermophoretic Deposition of Soot Particles in EGR Coolers...

  20. Simplified Protein Models: Predicting Folding Pathways and Structure...

    Office of Scientific and Technical Information (OSTI)

    Simplified Protein Models: Predicting Folding Pathways and Structure Using Amino Acid Sequences Title: Simplified Protein Models: Predicting Folding Pathways and Structure Using ...

  1. Thermodynamic Guidelines for the Prediction of Hydrogen Storage...

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

    Thermodynamic Guidelines for the Prediction of Hydrogen Storage Reactions and Their Application to Destabillzed Hydride Mixtures Thermodynamic Guidelines for the Prediction of...

  2. Predictive Models for Target Response During Penetration (Technical...

    Office of Scientific and Technical Information (OSTI)

    Predictive Models for Target Response During Penetration Citation Details In-Document Search Title: Predictive Models for Target Response During Penetration You are accessing a...

  3. Towards feasible and effective predictive wavefront control for...

    Office of Scientific and Technical Information (OSTI)

    Service, Springfield, VA at www.ntis.gov. We have recently proposed Predictive Fourier Control, a computationally efficient and adaptive algorithm for predictive wavefront...

  4. PNNL: Mechanistic-Based Ductility Prediction for Complex Mg Castings...

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

    PNNL: Mechanistic-Based Ductility Prediction for Complex Mg Castings PNNL: Mechanistic-Based Ductility Prediction for Complex Mg Castings 2012 DOE Hydrogen and Fuel Cells Program...

  5. Prediction and Control of Network Cascade: Example of Power Grid...

    Office of Scientific and Technical Information (OSTI)

    Conference: Prediction and Control of Network Cascade: Example of Power Grid or Networking ... Citation Details In-Document Search Title: Prediction and Control of Network Cascade: ...

  6. Towards feasible and effective predictive wavefront control for...

    Office of Scientific and Technical Information (OSTI)

    predictive wavefront control for adaptive optics Citation Details In-Document Search Title: Towards feasible and effective predictive wavefront control for adaptive optics We ...

  7. Towards predicting the voltage drop between electrode and electrolyte...

    Office of Scientific and Technical Information (OSTI)

    Towards predicting the voltage drop between electrode and electrolyte in lithium ion batteries. Citation Details In-Document Search Title: Towards predicting the voltage drop...

  8. High Impact Technology (HIT) Catalyst

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

    Impact Technology (HIT) Catalyst Images courtesy CREE, True Manufacturing, A.O. Smith, Bernstein Associates, Cambridge Engineering, Alliance Laundry Systems, NREL Commercial Buildings Integration Building Technologies Office 2 How can we catalyze the adoption of high impact commercial building technologies? Occupants Financial Institutions Government Utilities Scientists Manufacturers Dealers Suppliers Owners Stakeholder Engagement & Partnerships Managers Designers Engineers 3 Building

  9. DEISCODES. For Environmental Impact Statements

    SciTech Connect (OSTI)

    Widmayer, D.A. [U.S. NRC, Office of Material Safety and Safegaurds, Washington, D.C., (United States)

    1983-01-01

    DEISCODES, the Draft Environmental Impact Statement CODES are five separate FORTRAN codes used to perform the analysis in the Draft Environmental Impact Statement written to support 10 CFR 61, Licensing Requirements for Land Disposal of Radioactive Waste. The five codes are named OPTIONS, GRWATER, INTRUDE, INVERSW, and INVERSI. These codes calculate impact measures associated with the management of Low-Level radioactive Waste (LLW). Three phases of waste management are considered: waste processing, transportation, and disposal, utilizing (1) information on waste characteristics, (2) data and assumptions on disposal technologies and (3) impact calculational methodologies presented in NUREG/CR-1759 and NUREG-0782. The INTRUDE code determines the radiological impacts resulting from potential inadvertent human intrusion into a selected disposal facility containing processed waste as a function of time after disposal. GRWATER calculates the individual exposures resulting from use of contaminated water drawn from various human access locations such as a well that may become contaminated as a result of potential groundwater migration or radionuclides. The OPTIONS code calculates the waste volume-averaged inadvertent intruder impacts, impacts resulting from exposed waste scenarios, as well as those resulting from operational accidents, and those associated with short term consideration such as waste processing and transportation impacts, disposal costs, energy use, land use, etc. INVERSI, calculates the limiting concentrations in waste to meet a specific dose criterion for a disposal facility. INVERSW, calculates disposal facility radionuclide concentrations and inventories to meet specific allowable dose criteria for groundwater migration for the facility design and regionally representative environmental characteristics.

  10. Is ""predictability"" in computational sciences a myth?

    SciTech Connect (OSTI)

    Hemez, Francois M [Los Alamos National Laboratory

    2011-01-31

    Within the last two decades, Modeling and Simulation (M&S) has become the tool of choice to investigate the behavior of complex phenomena. Successes encountered in 'hard' sciences are prompting interest to apply a similar approach to Computational Social Sciences in support, for example, of national security applications faced by the Intelligence Community (IC). This manuscript attempts to contribute to the debate on the relevance of M&S to IC problems by offering an overview of what it takes to reach 'predictability' in computational sciences. Even though models developed in 'soft' and 'hard' sciences are different, useful analogies can be drawn. The starting point is to view numerical simulations as 'filters' capable to represent information only within specific length, time or energy bandwidths. This simplified view leads to the discussion of resolving versus modeling which motivates the need for sub-scale modeling. The role that modeling assumptions play in 'hiding' our lack-of-knowledge about sub-scale phenomena is explained which leads to discussing uncertainty in simulations. It is argued that the uncertainty caused by resolution and modeling assumptions should be dealt with differently than uncertainty due to randomness or variability. The corollary is that a predictive capability cannot be defined solely as accuracy, or ability of predictions to match the available physical observations. We propose that 'predictability' is the demonstration that predictions from a class of 'equivalent' models are as consistent as possible. Equivalency stems from defining models that share a minimum requirement of accuracy, while being equally robust to the sources of lack-of-knowledge in the problem. Examples in computational physics and engineering are given to illustrate the discussion.

  11. Prediction of PFC Plasma Fluxes by Improved Edge/Scrape-off-layer Simulations

    SciTech Connect (OSTI)

    Rognlien, T

    2009-02-26

    Large, localized plasma heat exhaust, subsequent inward transport of eroded impurities, and distribution of tritium to walls comprise one of the most critical class of problems for the development of tokamak fusion reactors. The magnitude and temporal duration of the heat fluxes is controlled by two factors: (1) the plasma power coming into the edge from the core, and (2), the physics processes in the edge/scrape-off-layer (SOL) that distribute the power to Plasma Facing Components (PFCs), both in space and in time. Given that the plasma power is largely determined by the fusion power desired, here I address model development needs for item (2), the distribution of power to PFCs, which naturally carries with it the capability for transport of impurities and tritium. Another key issue not addressed here is the impact of edge plasma transport on the plasma pedestal parameters. The nature of plasma transport in the edge/SOL region has long be differentiated from that in the bulk core, initially because of the larger fluctuation amplitudes that are observed, with density fluctuations relative to the time-average sometimes approaching as high as unity in the SOL. More recent measurements have shown addition effects such as strong intermittency, filamentation, toroidal asymmetry, and large flows [1]. These characteristics have a direct impact on plasma energy and particle fluxes to PFCs and on the flow of impurities in the edge. The theory of the edge/SOL is complicated by the steep gradients, multi-dimensional nature of plasma/neutral variations, and as mentioned above, the strong relative fluctuation levels compared to the core region. Furthermore, the strong interaction of the plasma with neutrals and the associated radiative effects for partially ionized plasma are important, Consequently, theoretical models typically need to be, or should be, more complicated, which may be one reason model development has lagged that in the core (funding being another reason). Simulation models of the edge/SOL can be divided into transport codes, which give the slow evolution of the plasma profiles and fluxes in a complex environment, and turbulence codes, which model the unstable, strongly fluctuating plasma state and thus (ideally) provide transport coefficients to the transport codes; this latter connect has only been made for a very limited set of simulations. The edge transport codes are either 2D fluid or now emerging 4D (2r,2v) kinetic. The turbulence codes are 2D and 3D fluid (only one U.S. 3D code spans the separatrix), and emerging 5D gyrokinetic codes. Many of the transport simulations to model plasma fluxes use ad hoc radial transport coefficients, rendering them more in the class of 'interpretive' simulations, not predictive; this limitation makes fundamental prediction for heat-flux widths and edge/SOL transport in general unobtainable at present. Even if there was a strong connection made between transport and turbulence codes, there is not yet a clear consensus in the community concerning the controlling instabilities and turbulence features, even for fixed plasma profiles. In comparison, the core turbulence simulations/theory/experiment have standard benchmarks (e.g., the Cyclone case), agree on many aspects of the big picture of the dominant ion transport, and have made good progress on electron transport. Again this core/edge difference can at least partially be traced to both the inherent difficulty of the edge problem and the stronger historical support for core simulation development; as the edge issue for high-power devices increases in importance, the funding prior should be change. No theory/simulation can be trusted without substantial experimental validation. The edge/SOL area is physically more accessible, but also more complex (2D-3D variations) and also different plasma parameters than for core diagnostics. Among the valuable diagnostics for transport are IRTV, thermocouples, Langmuir probes (but with maximum incident plasma power limitations), Thomson scattering, and visible. For turbulence diagnostics, we h

  12. Prediction of tilted capillary barrier performance

    SciTech Connect (OSTI)

    Webb, S.W.; McCord, J.T.; Dwyer, S.F.

    1997-04-01

    Capillary barriers, consisting of tilted fine-over-coarse layers under unsaturated conditions, have been suggested as landfill covers to divert water infiltration away from sensitive underground regions, especially for arid and semi-arid regions. The Hydrological Evaluation of Landfill Performance (HELP) computer code is an evaluation tool for landfill covers used by designers and regulators. HELP is a quasi-two-dimensional model that predicts moisture movement into and through the underground soil and waste layers. Processes modeled within HELP include precipitation, runoff, evapotranspiration, unsaturated vertical drainage, saturated lateral drainage, and leakage through liners. Unfortunately, multidimensional unsaturated flow phenomena that are necessary for evaluating tilted capillary barriers are not included in HELP. Differences between the predictions of the HELP and those from a multidimensional unsaturated flow code are presented to assess the two different approaches. Comparisons are presented for the landfill covers including capillary barrier configurations at the Alternative Landfill Cover Demonstration (ALCD) being conducted at Sandia.

  13. The CASL vision is to confidently predict

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

    CASL vision is to confidently predict the performance of commercial nuclear power reactors through comprehensive, science-based modeling and simulation technology. To achieve this vision, CASL is assembling, assessing and coupling a variety of phys- ics codes, each with a distinct purpose and functionality. This higher-fidelity coupled physics code capability is intended to have broad, versatile functionality with multiple modules simulating issues such as grid-to-rod-fretting and CRUD

  14. predictive modeling | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    predictive modeling | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo Gallery Jobs Apply for Our Jobs Our Jobs Working at

  15. Prediction of number of breached rods following a LBLOCA of Candu plants using a BEPU approach

    SciTech Connect (OSTI)

    Bang, Y. S.; Kim, K.; Seul, K. W.; Woo, S. W.; Han, B. S.

    2012-07-01

    Radioactive doses following design basis accidents (DBA) have been important safety criteria of Candu nuclear power plant and they have been predicted in terms of the number of breached fuel rods. To support the licensing review on this concern, an analysis of LBLOCA has been conducted by using the BEPU method of KINS, KINS-REM. Number of Breached Rods (NBR) following a LBLOCA was predicted at 95 percentile probabilistic upper level in 95 percentile confidence level. Peak Cladding Temperatures (PCT) of the 84 bundles in the core pass 4 were calculated from the 124 MARS code runs in which the uncertainties of 10 major parameters including fuel thermal conductivity and break flow model were implemented. The fuel rod breaching criteria, PCT>1477 K, was used to determine the NBR 95/95. From the calculation, the predicted NBR 95/95 was 1591 rods and the calculated maximum NBR was lower than 2000 rods. Through the further improvements in feedback of the channel power behavior to thermalhydraulic calculation and in channel group modeling, NBR in more reliable level can be expected. (authors)

  16. Year 2 Report: Protein Function Prediction Platform

    SciTech Connect (OSTI)

    Zhou, C E

    2012-04-27

    Upon completion of our second year of development in a 3-year development cycle, we have completed a prototype protein structure-function annotation and function prediction system: Protein Function Prediction (PFP) platform (v.0.5). We have met our milestones for Years 1 and 2 and are positioned to continue development in completion of our original statement of work, or a reasonable modification thereof, in service to DTRA Programs involved in diagnostics and medical countermeasures research and development. The PFP platform is a multi-scale computational modeling system for protein structure-function annotation and function prediction. As of this writing, PFP is the only existing fully automated, high-throughput, multi-scale modeling, whole-proteome annotation platform, and represents a significant advance in the field of genome annotation (Fig. 1). PFP modules perform protein functional annotations at the sequence, systems biology, protein structure, and atomistic levels of biological complexity (Fig. 2). Because these approaches provide orthogonal means of characterizing proteins and suggesting protein function, PFP processing maximizes the protein functional information that can currently be gained by computational means. Comprehensive annotation of pathogen genomes is essential for bio-defense applications in pathogen characterization, threat assessment, and medical countermeasure design and development in that it can short-cut the time and effort required to select and characterize protein biomarkers.

  17. Predicted Versus Actual Savings for a Low-Rise Multifamily Retrofit in Boulder, Colorado

    SciTech Connect (OSTI)

    Arena, L.; Williamson, J.

    2013-11-01

    To determine the most cost-effective methods of improving buildings, accurate analysis and prediction of the energy use of existing buildings is essential. However, multiple studies confirm that analysis methods tend to over-predict energy use in poorly insulated, leaky homes and thus, the savings associated with improving those homes. In this project, the Building America CARB team evaluated the retrofit of a multifamily building in Boulder, CO. The updated property is a 37 unit, 2 story apartment complex built in 1950, which underwent renovations in early 2009 to bring it into compliance with Boulder, CO's SmartRegs ordinance. Goals of the study were to: 1) evaluate predicted versus actual savings due to the improvements, 2) identify areas where the modeling assumptions may need to be changed, and 3) determine common changes made by renters that would negatively impact energy savings. Other issues that were investigated include the effects of improving building efficiency on tenant comfort, the impact on tenant turnover rates, and the potential market barriers for this type of community scale project.

  18. Metal Casting Project Fact Sheet - Predicting Pattern Tooling and Casting

    SciTech Connect (OSTI)

    None

    2000-12-01

    Factors affecting casting dimension and tools to reduce their impact are being identified in this project.

  19. Energy Policy Socioeconomic Impact Model

    Energy Science and Technology Software Center (OSTI)

    1993-05-13

    Econometric model simulates consumer demand response to residential demand-side management programs and two-part tariff electricity rate designs and assesses their economic impact on various population groups.

  20. PRIVACY IMPACT ASSESSMENT: INL Communications

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

    Communications and Public Affairs Tour Tracker PIA Template Version 3 - May, 2009 Department of Energy Privacy Impact Assessment (PIA) Guidance is provided in the template. See DOE Order 206.1, Department of Energy Privacy Program, Appendix A, Privacy Impact Assessments, for reqUirements and additional guidance for conducting a PIA: http://www.directives.doe.gov/pdfs/doe/doetextlneword/206/o2061.pdf Please complete electronically: no hand-written submissions will be accepted. This template may

  1. Impact Assessments | Department of Energy

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

    Impact Assessments Impact Assessments american-flag-802087_960_720.jpg PIA Template with Guidance (MS Word) DOE F 206.1 PIA Template (MS Word) Management and Administration (MA) Open Gov User Voice System (3WP) (pdf) DOE Open Government Plan Comment Box (pdf) Energy Contractor Registration System (EnCoRe) (pdf) Hiring Management Enterprise Solutions (HMES) (pdf) Foreign Travel Management System (FTMS) (pdf) FOIAXpress (pdf) Electronic Document Online Correspondence and Concurrence (eDOCS) (pdf)

  2. Investigation of the effect of chemistry models on the numerical predictions of the supersonic combustion of hydrogen

    SciTech Connect (OSTI)

    Kumaran, K.; Babu, V.

    2009-04-15

    In this numerical study, the influence of chemistry models on the predictions of supersonic combustion in a model combustor is investigated. To this end, 3D, compressible, turbulent, reacting flow calculations with a detailed chemistry model (with 37 reactions and 9 species) and the Spalart-Allmaras turbulence model have been carried out. These results are compared with earlier results obtained using single step chemistry. Hydrogen is used as the fuel and three fuel injection schemes, namely, strut, staged (i.e., strut and wall) and wall injection, are considered to evaluate the impact of the chemistry models on the flow field predictions. Predictions of the mass fractions of major species, minor species, dimensionless stagnation temperature, dimensionless static pressure rise and thrust percentage along the combustor length are presented and discussed. Overall performance metrics such as mixing efficiency and combustion efficiency are used to draw inferences on the nature (whether mixing- or kinetic-controlled) and the completeness of the combustion process. The predicted values of the dimensionless wall static pressure are compared with experimental data reported in the literature. The calculations show that multi step chemistry predicts higher and more wide spread heat release than what is predicted by single step chemistry. In addition, it is also shown that multi step chemistry predicts intricate details of the combustion process such as the ignition distance and induction distance. (author)

  3. Induced Seismicity Impact | Open Energy Information

    Open Energy Info (EERE)

    Seismicity Impact Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleInducedSeismicityImpact&oldid612409" Feedback Contact needs updating...

  4. EIS-0403: Draft Programmatic Environmental Impact Statement ...

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

    Draft Programmatic Environmental Impact Statement EIS-0403: Draft Programmatic Environmental Impact Statement Solar Energy Development in Six Southwestern States Abstract: The BLM...

  5. Environmental Impact Statements (EIS) | Department of Energy

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

    April 1, 2003 EIS-0337: Draft Environmental Impact Statement West Valley Demonstration Project Waste Management April 1, 2003 EIS-0312: Final Environmental Impact Statement Fish...

  6. Environmental Impact Statements (EIS) | Department of Energy

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

    March 1, 2012 EIS-0457: Final Environmental Impact Statement Albany-Eugene Rebuild Project, Lane and Linn Counties, OR February 8, 2012 EIS-0476: Final Environmental Impact...

  7. Environmental Impact Statements (EIS) | Department of Energy

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

    April 1, 1999 EIS-0222: Draft Environmental Impact Statement Revised Draft Hanford Remedial Action Environmental Impact Statement and Comprehensive Land-Use Plan April 1, 1999...

  8. Preliminary Energy Savings Impact Evaluation: Better Buildings...

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

    Energy Savings Impact Evaluation: Better Buildings Neighborhood Program Preliminary Energy Savings ... More Documents & Publications Savings and Economic Impacts of the Better Buildings ...

  9. Measuring the Impact of Benchmarking & Transparency - Methodologies...

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

    Measuring the Impact of Benchmarking & Transparency - Methodologies and the NYC Example Measuring the Impact of Benchmarking & Transparency - Methodologies and the NYC Example ...

  10. Waste Management Programmatic Environmental Impact Statement...

    Office of Environmental Management (EM)

    Waste Management Programmatic Environmental Impact Statement (WM PEIS) Reports and Records of Decision Waste Management Programmatic Environmental Impact Statement (WM PEIS) ...

  11. Environmental Impacts of Increased Hydroelectric Development...

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

    Impacts of Increased Hydroelectric Development at Existing Dams Environmental Impacts of Increased Hydroelectric Development at Existing Dams This report describes the ...

  12. IMPACTS: Industrial Technologies Program, Summary of Program...

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

    IMPACTS: Industrial Technologies Program, Summary of Program Results for CY2009 IMPACTS: Industrial Technologies Program, Summary of Program Results for CY2009 PDF icon ...

  13. Pollution Prevention - Environmental Impact Reduction Checklists...

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

    Pollution Prevention - Environmental Impact Reduction Checklists for NEPA309 Reviewers Pollution Prevention - Environmental Impact Reduction Checklists for NEPA309 Reviewers The ...

  14. NREL: Technology Deployment - Market Impact Newsletter

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

    Impact is NREL's Technology Deployment newsletter that reports on the impact NREL's is making toward a clean energy future by working with industry and government agencies to...

  15. Information Concerning Reliability Impacts under Various System...

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

    Concerning Reliability Impacts under Various System Configurations of the Mirant Potomac River Plant Information Concerning Reliability Impacts under Various System Configurations...

  16. Assessing Climate Change Impacts, Vulnerability and Adaptation...

    Open Energy Info (EERE)

    Climate Change Impacts, Vulnerability and Adaptation: The Case of Pantabangan-Carranglan Watershed Jump to: navigation, search Name Assessing Climate Change Impacts, Vulnerability...

  17. Environmental Impact Statements (EIS) | Department of Energy

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

    September 22, 2006 EIS-0374: Final Environmental Impact Statement Klondike IIIBiglow Canyon Wind Integration Project August 1, 2006 EIS-0383: Draft Environmental Impact Statement...

  18. Environmental Impact Statements (EIS) | Department of Energy

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

    Impact Statement Remediation of the Moab Uranium Mill Tailings, Grand and San Juan Counties, Utah September 3, 2004 EIS-0346: Draft Environmental Impact Statement Salmon...

  19. Chemical incident economic impact analysis methodology. (Technical...

    Office of Scientific and Technical Information (OSTI)

    Chemical incident economic impact analysis methodology. Citation Details In-Document Search Title: Chemical incident economic impact analysis methodology. You are accessing a...

  20. Environmental Impact Statements and Environmental Assessments...

    Energy Savers [EERE]

    Environmental Impact Statements and Environmental Assessments Status Chart Environmental Impact Statements and Environmental Assessments Status Chart The Status Chart provides the...

  1. Site-wide Environmental Impact Statement

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

    SWEIS Site-wide Environmental Impact Statement We analyze the potential environmental impacts associated with Laboratory operations and facilities. Contact Environmental...

  2. EIS-0377: Supplemental Draft Environmental Impact Statement ...

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

    Impact Statement EIS-0377: Supplemental Draft Environmental Impact Statement Big Stone II Power Plant and Transmission Project In May 2006, Western Area Power...

  3. Employment Impacts of Geothermal Electric Projects (Technical...

    Office of Scientific and Technical Information (OSTI)

    Employment Impacts of Geothermal Electric Projects Citation Details In-Document Search Title: Employment Impacts of Geothermal Electric Projects You are accessing a document...

  4. Sandia National Laboratories: News: Economic Impact

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

    Facebook Twitter YouTube Flickr RSS Working with Sandia Economic Impact Sandia National Laboratories has a robust and widespread economic impact. Spending by the Labs exceeds 2...

  5. Analysis of Environmental Impacts | Department of Energy

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

    Selected documents on the Analysis of Environmental Impacts under NEPA. October 3, 1984 Policy and Procedures for the Review of Federal Actions Impacting the Environment This...

  6. Quantitative validation of carbon-fiber laminate low velocity impact simulations

    SciTech Connect (OSTI)

    English, Shawn A.; Briggs, Timothy M.; Nelson, Stacy M.

    2015-09-26

    Simulations of low velocity impact with a flat cylindrical indenter upon a carbon fiber fabric reinforced polymer laminate are rigorously validated. Comparison of the impact energy absorption between the model and experiment is used as the validation metric. Additionally, non-destructive evaluation, including ultrasonic scans and three-dimensional computed tomography, provide qualitative validation of the models. The simulations include delamination, matrix cracks and fiber breaks. An orthotropic damage and failure constitutive model, capable of predicting progressive damage and failure, is developed in conjunction and described. An ensemble of simulations incorporating model parameter uncertainties is used to predict a response distribution which is then compared to experimental output using appropriate statistical methods. Lastly, the model form errors are exposed and corrected for use in an additional blind validation analysis. The result is a quantifiable confidence in material characterization and model physics when simulating low velocity impact in structures of interest.

  7. Quantitative validation of carbon-fiber laminate low velocity impact simulations

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

    English, Shawn A.; Briggs, Timothy M.; Nelson, Stacy M.

    2015-09-26

    Simulations of low velocity impact with a flat cylindrical indenter upon a carbon fiber fabric reinforced polymer laminate are rigorously validated. Comparison of the impact energy absorption between the model and experiment is used as the validation metric. Additionally, non-destructive evaluation, including ultrasonic scans and three-dimensional computed tomography, provide qualitative validation of the models. The simulations include delamination, matrix cracks and fiber breaks. An orthotropic damage and failure constitutive model, capable of predicting progressive damage and failure, is developed in conjunction and described. An ensemble of simulations incorporating model parameter uncertainties is used to predict a response distribution which ismore » then compared to experimental output using appropriate statistical methods. Lastly, the model form errors are exposed and corrected for use in an additional blind validation analysis. The result is a quantifiable confidence in material characterization and model physics when simulating low velocity impact in structures of interest.« less

  8. Progress towards a PETN Lifetime Prediction Model

    SciTech Connect (OSTI)

    Burnham, A K; Overturf III, G E; Gee, R; Lewis, P; Qiu, R; Phillips, D; Weeks, B; Pitchimani, R; Maiti, A; Zepeda-Ruiz, L; Hrousis, C

    2006-09-11

    Dinegar (1) showed that decreases in PETN surface area causes EBW detonator function times to increase. Thermal aging causes PETN to agglomerate, shrink, and densify indicating a ''sintering'' process. It has long been a concern that the formation of a gap between the PETN and the bridgewire may lead to EBW detonator failure. These concerns have led us to develop a model to predict the rate of coarsening that occurs with age for thermally driven PETN powder (50% TMD). To understand PETN contributions to detonator aging we need three things: (1) Curves describing function time dependence on specific surface area, density, and gap. (2) A measurement of the critical gap distance for no fire as a function of density and surface area for various wire configurations. (3) A model describing how specific surface area, density and gap change with time and temperature. We've had good success modeling high temperature surface area reduction and function time increase using a phenomenological deceleratory kinetic model based on a distribution of parallel nth-order reactions having evenly spaced activation energies where weighing factors of the reactions follows a Gaussian distribution about the reaction with the mean activation energy (Figure 1). Unfortunately, the mean activation energy derived from this approach is high (typically {approx}75 kcal/mol) so that negligible sintering is predicted for temperatures below 40 C. To make more reliable predictions, we've established a three-part effort to understand PETN mobility. First, we've measured the rates of step movement and pit nucleation as a function of temperature from 30 to 50 C for single crystals. Second, we've measured the evaporation rate from single crystals and powders from 105 to 135 C to obtain an activation energy for evaporation. Third, we've pursued mechanistic kinetic modeling of surface mobility, evaporation, and ripening.

  9. Application of optimal prediction to molecular dynamics

    SciTech Connect (OSTI)

    Barber IV, John Letherman

    2004-12-01

    Optimal prediction is a general system reduction technique for large sets of differential equations. In this method, which was devised by Chorin, Hald, Kast, Kupferman, and Levy, a projection operator formalism is used to construct a smaller system of equations governing the dynamics of a subset of the original degrees of freedom. This reduced system consists of an effective Hamiltonian dynamics, augmented by an integral memory term and a random noise term. Molecular dynamics is a method for simulating large systems of interacting fluid particles. In this thesis, I construct a formalism for applying optimal prediction to molecular dynamics, producing reduced systems from which the properties of the original system can be recovered. These reduced systems require significantly less computational time than the original system. I initially consider first-order optimal prediction, in which the memory and noise terms are neglected. I construct a pair approximation to the renormalized potential, and ignore three-particle and higher interactions. This produces a reduced system that correctly reproduces static properties of the original system, such as energy and pressure, at low-to-moderate densities. However, it fails to capture dynamical quantities, such as autocorrelation functions. I next derive a short-memory approximation, in which the memory term is represented as a linear frictional force with configuration-dependent coefficients. This allows the use of a Fokker-Planck equation to show that, in this regime, the noise is {delta}-correlated in time. This linear friction model reproduces not only the static properties of the original system, but also the autocorrelation functions of dynamical variables.

  10. Predictions of pure liquid shock Hugoniots

    SciTech Connect (OSTI)

    Hobbs, M.L.; Baer, M.R.

    1998-06-01

    Determination of product species and associated equations-of-state (EOS) for energetic materials such as pyrotechnics with complex elemental compositions remains a major unsolved problem. Although, empirical EOS models may be calibrated to replicate detonation conditions within experimental variability (5--10%), different states, e.g. expansion, may produce significant discrepancy with data if the basic form of the EOS model is incorrect. A more physically realistic EOS model based on intermolecular potentials, such as the Jacobs Cowperthwaite Zwisler (JCZ3) EOS, is needed to predict detonation states as well as expanded states. Predictive capability for any EOS requires a large species data base composed of a wide variety of elements. Unfortunately, only 20 species have known exponential 6 (EXP 6) molecular force constants which are used in the JCZ3-EOS. Of these 20 species, only 10 have been adequately compared to experimental data such as molecular scattering or shock Hugoniot data. Since data in the strongly repulsive region of the molecular potential is limited, alternative methods must be found to deduce force constants for a larger number of species. The objective of the present study is to determine JCZ3 product species force constants using corresponding state theory. Intermolecular potential parameters were obtained for a variety of gas species using a simple corresponding states technique with critical volume and critical temperature. A more complex, four parameter corresponding state method with shape and polarity corrections was also used to obtain intermolecular potential parameters. Both corresponding state methods were used to predict shock Hugoniot data obtained from pure liquids. The simple corresponding state method is shown to give adequate agreement with shock Hugoniot data.

  11. Final report on reliability and lifetime prediction.

    SciTech Connect (OSTI)

    Gillen, Kenneth Todd; Wise, Jonathan; Jones, Gary D.; Causa, Al G.; Terrill, Edward R.; Borowczak, Marc

    2012-12-01

    This document highlights the important results obtained from the subtask of the Goodyear CRADA devoted to better understanding reliability of tires and to developing better lifetime prediction methods. The overall objective was to establish the chemical and physical basis for the degradation of tires using standard as well as unique models and experimental techniques. Of particular interest was the potential application of our unique modulus profiling apparatus for assessing tire properties and for following tire degradation. During the course of this complex investigation, extensive relevant information was generated, including experimental results, data analyses and development of models and instruments. Detailed descriptions of the findings are included in this report.

  12. Eddy current technique for predicting burst pressure

    DOE Patents [OSTI]

    Petri, Mark C. (Yorkville, IL); Kupperman, David S. (Oak Park, IL); Morman, James A. (Woodridge, IL); Reifman, Jaques (Western Springs, IL); Wei, Thomas Y. C. (Downers Grove, IL)

    2003-01-01

    A signal processing technique which correlates eddy current inspection data from a tube having a critical tubing defect with a range of predicted burst pressures for the tube is provided. The method can directly correlate the raw eddy current inspection data representing the critical tubing defect with the range of burst pressures using a regression technique, preferably an artificial neural network. Alternatively, the technique deconvolves the raw eddy current inspection data into a set of undistorted signals, each of which represents a separate defect of the tube. The undistorted defect signal which represents the critical tubing defect is related to a range of burst pressures utilizing a regression technique.

  13. LLNL-TR-411072 A Predictive Model

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

    072 A Predictive Model of Fragmentation using Adaptive Mesh Refinement and a Hierarchical Material Model A. E. Koniges, N. D. Masters, A. C. Fisher, R. W. Anderson, D. C. Eder, D. Benson, T. B. Kaiser, B. T. Gunney, P. Wang, B. R. Maddox, J. F. Hansen, D. H. Kalantar, P. Dixit, H. Jarmakani, M. A. Meyers March 5, 2009 -2- Disclaimer This document was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore

  14. WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES

    Office of Legacy Management (LM)

    ARLV - 3 51 - 4 / WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES for the RULISON EVENT Final Report Albert H . S t o u t , Ray E . White, and V i r g i l E. Quinn Environmental Science Services Administration A i r Resources Laboratory - Las Vegas PROPERW OF U. S. GOVERNMENT Prepared Under Contract SF-54-351 f o r the Nevada Operations O f f i c e U . ' S . Atomic Energy Commission January 1970 LEGAL NOTSCCE ; L *U . . . . . - . T h i s r e p o r t w a s prepared a s an account o f

  15. PROJECT PROFILE: Underwriters Laboratories (UL) (PREDICTS 2)

    Broader source: Energy.gov [DOE]

    As a part of their PREDICTS2 award, researchers at the Underwriter Laboratories (UL) will analyze the reliability of polymeric backsheets, a thin, multilayer sheet that covers the back of a photovoltaic (PV) module. The backsheet helps maintain the lifetime performance of a PV module and protects installers and maintenance workers from electric shock. The covering also protects the insides from environmental conditions that might degrade the performance of a module over time. This project was announced on September 16, 2015 at the Solar Power International conference.

  16. Methods and apparatus for measurement of a dimensional characteristic and methods of predictive modeling related thereto

    DOE Patents [OSTI]

    Robertson, Eric P (Idaho Falls, ID); Christiansen, Richard L. (Littleton, CO)

    2007-05-29

    A method of optically determining a change in magnitude of at least one dimensional characteristic of a sample in response to a selected chamber environment. A magnitude of at least one dimension of the at least one sample may be optically determined subsequent to altering the at least one environmental condition within the chamber. A maximum change in dimension of the at least one sample may be predicted. A dimensional measurement apparatus for indicating a change in at least one dimension of at least one sample. The dimensional measurement apparatus may include a housing with a chamber configured for accommodating pressure changes and an optical perception device for measuring a dimension of at least one sample disposed in the chamber. Methods of simulating injection of a gas into a subterranean formation, injecting gas into a subterranean formation, and producing methane from a coal bed are also disclosed.

  17. Methods for measurement of a dimensional characteristic and methods of predictive modeling related thereto

    DOE Patents [OSTI]

    Robertson, Eric P (Idaho Falls, ID); Christiansen, Richard L. (Littleton, CO)

    2007-10-23

    A method of optically determining a change in magnitude of at least one dimensional characteristic of a sample in response to a selected chamber environment. A magnitude of at least one dimension of the at least one sample may be optically determined subsequent to altering the at least one environmental condition within the chamber. A maximum change in dimension of the at least one sample may be predicted. A dimensional measurement apparatus for indicating a change in at least one dimension of at least one sample. The dimensional measurement apparatus may include a housing with a chamber configured for accommodating pressure changes and an optical perception device for measuring a dimension of at least one sample disposed in the chamber. Methods of simulating injection of a gas into a subterranean formation, injecting gas into a subterranean formation, and producing methane from a coal bed are also disclosed.

  18. Models for prediction of temperature difference and ventilation effectiveness with displacement ventilation

    SciTech Connect (OSTI)

    Yuan, X.; Chen, Q.; Glicksman, L.R.

    1999-07-01

    Displacement ventilation may provide better indoor air quality than mixing ventilation. Proper design of displacement ventilation requires information concerning the air temperature difference between the head and foot level of a sedentary person and the ventilation effectiveness at the breathing level. This paper presents models to predict the air temperature difference and the ventilation effectiveness, based on a database of 56 cases with displacement ventilation. The database was generated by using a validated CFD program and covers four different types of US buildings: small offices, large offices with partitions, classrooms, and industrial workshops under different thermal and flow boundary conditions. Both the maximum cooling load that can be removed by displacement ventilation and the ventilation effectiveness are shown to depend on the heat source type and ventilation rate in a room.

  19. Statistical model selection for better prediction and discovering science mechanisms that affect reliability

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

    Anderson-Cook, Christine M.; Morzinski, Jerome; Blecker, Kenneth D.

    2015-08-19

    Understanding the impact of production, environmental exposure and age characteristics on the reliability of a population is frequently based on underlying science and empirical assessment. When there is incomplete science to prescribe which inputs should be included in a model of reliability to predict future trends, statistical model/variable selection techniques can be leveraged on a stockpile or population of units to improve reliability predictions as well as suggest new mechanisms affecting reliability to explore. We describe a five-step process for exploring relationships between available summaries of age, usage and environmental exposure and reliability. The process involves first identifying potential candidatemore » inputs, then second organizing data for the analysis. Third, a variety of models with different combinations of the inputs are estimated, and fourth, flexible metrics are used to compare them. As a result, plots of the predicted relationships are examined to distill leading model contenders into a prioritized list for subject matter experts to understand and compare. The complexity of the model, quality of prediction and cost of future data collection are all factors to be considered by the subject matter experts when selecting a final model.« less

  20. Statistical model selection for better prediction and discovering science mechanisms that affect reliability

    SciTech Connect (OSTI)

    Anderson-Cook, Christine M.; Morzinski, Jerome; Blecker, Kenneth D.

    2015-08-19

    Understanding the impact of production, environmental exposure and age characteristics on the reliability of a population is frequently based on underlying science and empirical assessment. When there is incomplete science to prescribe which inputs should be included in a model of reliability to predict future trends, statistical model/variable selection techniques can be leveraged on a stockpile or population of units to improve reliability predictions as well as suggest new mechanisms affecting reliability to explore. We describe a five-step process for exploring relationships between available summaries of age, usage and environmental exposure and reliability. The process involves first identifying potential candidate inputs, then second organizing data for the analysis. Third, a variety of models with different combinations of the inputs are estimated, and fourth, flexible metrics are used to compare them. As a result, plots of the predicted relationships are examined to distill leading model contenders into a prioritized list for subject matter experts to understand and compare. The complexity of the model, quality of prediction and cost of future data collection are all factors to be considered by the subject matter experts when selecting a final model.

  1. JC3 High Impact Assessment Bulletins | Department of Energy

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

    High Impact Assessment Bulletins JC3 High

  2. JC3 Low Impact Assessment Bulletins | Department of Energy

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

    Low Impact Assessment Bulletins JC3 Low

  3. JC3 Medium Impact Assessment Bulletins | Department of Energy

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

    Medium Impact Assessment Bulletins JC3 Medium

  4. Managing the analysis of air quality impacts under NEPA

    SciTech Connect (OSTI)

    Weber, Y.B.; Leslie, A.C.D.

    1995-12-31

    The National Environmental Policy Act of 1969 (NEPA) mandates the analysis and evaluation of potential impacts of major Federal actions having the potential to affect the environment. The Clean Air Act Amendments of 1990 identify an array of new air quality issues appropriate for analysis in compliance with NEPA. An example is emissions of the 189 hazardous air pollutants identified in Title III. The utility industry estimates that more than 2.4 billion pounds of toxic pollutants were emitted to the atmosphere in 1988, with the potential for resultant adverse health impacts such as cancer, reproductive effects, birth defects, and respiratory illness. The US Department of Energy (DOE) provides Federal funds for projects that utilize coal as the primary fuel, including the approximately 45 projects funded over the past ten years under the Clean Coal Technology Demonstration Program. Provision of Federal funds brings these projects under NEPA review. While electric steam generating units greater than 25 MW are currently excluded from regulatory review for the 189 air toxics listed in Title III, they are not, due to their potential impacts, excluded from NEPA review when Federally funded, in whole or in part. The authors will discuss their experiences drawn from NEPA evaluations of coal-fired power projects, the differences between regulatory requirements and NEPA requirements, source categories, major and area sources, conformity, maximum achievable control technology, mandatory licensing, radionuclides, visibility, toxics found to be emitted from coal combustion, public involvement, citizen suits, the bounty system, and how NEPA review can result in beneficial changes to proposed projects through mitigation measures to avoid or minimize potentially adverse environmental impacts.

  5. Eolian reservoir characteristics predicted from dune type

    SciTech Connect (OSTI)

    Kocurek, G.; Nielson, J.

    1985-02-01

    The nature of eolian-dune reservoirs is strongly influenced by stratification types (in decreasing order of quality: grain-flow, grain-fall, wind-ripple deposits) and their packaging by internal bounding surfaces. These are, in turn, a function of dune surface processes and migration behavior, allowing for predictive models of reservoir behavior. Migrating, simple crescentic dunes produce tabular bodies consisting mainly of grain-flow cross-strata, and form the best, most predictable reservoirs. Reservoir character improves as both original dune height and preserved set thickness increase, because fewer grain-fall deposits and a lower percentage of dune-apron deposits occur in the cross-strata, respectively. It is probable that many linear and star dunes migrate laterally, leaving a blanket of packages of wind ripple laminae reflecting deposition of broad, shifting aprons. This is distinct from models generated by freezing large portions of these dunes in place. Trailing margins of linear and star dunes are prone to reworking by sand-sheet processes that decrease potential reservoir quality. The occurrence of parabolic dunes isolated on vegetated sand sheets results in a core of grain-flow and grain-fall deposits surrounded by less permeable and porous deposits. Compound crescentic dunes, perhaps the most preservable dune type, may yield laterally (1) single sets of cross-strate, (2) compound sets derived from superimposed simple dunes, or (3) a complex of diverse sets derived from superimposed transverse and linear elements.

  6. Prediction of Part Distortion in Die Casting

    SciTech Connect (OSTI)

    R. Allen Miller

    2005-03-30

    The die casting process is one of the net shape manufacturing techniques and is widely used to produce high production castings with tight tolerances for many industries. An understanding of the stress distribution and the deformation pattern of parts produced by die casting will result in less deviation from the part design specification, a better die design and eventually more productivity and cost savings. This report presents methods that can be used to simulate the die casting process in order to predict the deformation and stresses in the produced part and assesses the degree to which distortion modeling is practical for die casting at the current time. A coupled thermal-mechanical finite elements model was used to simulate the die casting process. The simulation models the effect of thermal and mechanical interaction between the casting and the die. It also includes the temperature dependant material properties of the casting. Based on a designed experiment, a sensitivity analysis was conducted on the model to investigate the effect of key factors. These factors include the casting material model, material properties and thermal interaction between casting and dies. To verify the casting distortion predictions, it was compared against the measured dimensions of produced parts. The comparison included dimensions along and across the parting plane and the flatness of one surface.

  7. Verification of maximum radial power peaking factor due to insertion of FPM-LEU target in the core of RSG-GAS reactor

    SciTech Connect (OSTI)

    Setyawan, Daddy; Rohman, Budi

    2014-09-30

    Verification of Maximum Radial Power Peaking Factor due to insertion of FPM-LEU target in the core of RSG-GAS Reactor. Radial Power Peaking Factor in RSG-GAS Reactor is a very important parameter for the safety of RSG-GAS reactor during operation. Data of radial power peaking factor due to the insertion of Fission Product Molybdenum with Low Enriched Uranium (FPM-LEU) was reported by PRSG to BAPETEN through the Safety Analysis Report RSG-GAS for FPM-LEU target irradiation. In order to support the evaluation of the Safety Analysis Report incorporated in the submission, the assessment unit of BAPETEN is carrying out independent assessment in order to verify safety related parameters in the SAR including neutronic aspect. The work includes verification to the maximum radial power peaking factor change due to the insertion of FPM-LEU target in RSG-GAS Reactor by computational method using MCNP5and ORIGEN2. From the results of calculations, the new maximum value of the radial power peaking factor due to the insertion of FPM-LEU target is 1.27. The results of calculations in this study showed a smaller value than 1.4 the limit allowed in the SAR.

  8. RTG Impact Response to Hard Landing During Mars Environmental Survey (MESUR) Mission

    SciTech Connect (OSTI)

    Schock, Alfred; Mukunda, Meera

    1992-03-06

    The National Aeronautics and Space Administration (NASA) is studying a seven-year robotic mission (MESUR, Mars Environmental Survey) for the seismic, meteorological, and geochemical exploration of the Martian surface by means of a network of ~16 small, inexpensive landers spread from pole to pole. To permit operation at high Martian latitudes, NASA has tentatively decided to power the landers with small RTGs (Radioisotope Thermoelectric Generators). To support the NASA mission study, the Department of Energy's Office of Special Applications commissioned Fairchild to perform specialized RTG design studies. Those studies indicated that the cost and complexity of the mission could be significantly reduced if the RTGs had sufficient impact resistance to survive ground impact of the landers without retrorockets. Fairchild designs of RTGs configured for high impact resistance were reported previously. Since the, the size, configuration, and impact velocity of the landers and the power level and integration mode of the RTGs have changed substantially, and the previous impact analysis has been changed substantially, and the previous impact analysis has been updated accordingly. The analytical results, reported here, indicate that a lander by itself experiences much higher g-loads than the lander with an integral penetrator; but that minor modifications of the shape of the lander can very substantially reduce the maximum g-load during landing, thus eliminating the need for retrorockets for RTG survival. There are three copies in the file and the Original Artwork is stored in the ESD files.

  9. EIS-0288: Draft Environmental Impact Statement

    Broader source: Energy.gov [DOE]

    Draft Environmental Impact Statement (EIS) for the Production of Tritium in a Commercial Light Water Reactor

  10. Supply Impacts of an MTBE Ban

    Reports and Publications (EIA)

    2002-01-01

    This paper analyzes the supply impacts of removing methyl tertiary butyl ether (MTBE) from gasoline.

  11. Submitting Environmental Impact Statements | Department of Energy

    Energy Savers [EERE]

    Submitting Environmental Impact Statements Submitting Environmental Impact Statements Guidance from the Environmental Protection Agency's Office of Federal Activities on the filing of EISs. PDF icon Submitting Environmental Impact Statements More Documents & Publications EIS-0470: EPA Amended Notice of Adoption EPA -- Amended Environmental Impact Statement Filing System Guidance (2012) Frequently Asked Questions on Filing EISs with EPA's Office of Federal Activities

  12. Documentation of cumulative impacts in environmental impact statements

    SciTech Connect (OSTI)

    Cooper, T.A.; Canter, L.W.

    1997-11-01

    The National Environmental Policy Act (NEPA) of 1969 and the Council on Environmental Quality (CEQ) regulations in the United States require federal agencies to apply an environmental impact assessment (EIA) in decision-making related to their actions. One aspect requires an examination of direct, indirect and cumulative impacts (CIs). Historically, cumulative impact assessment (CIA) has been given limited attention in EIA and resultant environmental impact statements (EISs), not because of its lack of importance, but owing to limitations in methodologies and procedures, including documentation consistency. The objectives of this study were to identify deficiencies in the documentation of CIs and CIA in EISs and to formulate appropriate recommendations (potential solutions) related to such deficiencies. The study involved the systematic review of 33 EISs. The results indicate that improvements have been made in documentation practices since 1990; however, inconsistencies and inadequacies still exist. Therefore, the following recommendations were developed: (1) CIs should be reported in a separate part of the Environmental Consequences section, and they should be addressed for each pertinent environmental resource; (2) a summary of CIs should be included; (3) any CIs considered not significant should be mentioned plus the reason(s) for their non-significance; (4) spatial and temporal boundaries addressed within the CIA process should be defined for pertinent environmental resources; and (5) utilized guidelines and methodologies should be described.

  13. On the predictability of the orientation of protein domains joined...

    Office of Scientific and Technical Information (OSTI)

    On the predictability of the orientation of protein domains joined by a spanning alpha-helical linker Citation Details In-Document Search Title: On the predictability of the...

  14. Patent: Fast computational methods for predicting protein structure from

    Office of Scientific and Technical Information (OSTI)

    primary amino acid sequence | DOEpatents Fast computational methods for predicting protein structure from primary amino acid sequence Citation Details Title: Fast computational methods for predicting protein structure from primary amino acid sequence

  15. ARGUS-PRIMA: Wind Power Prediction | Argonne National Laboratory

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

    ARGUS-PRIMA: Wind Power Prediction ARGUS-PRIMA: Wind Power Prediction ARGUS-PRIMA is a software platform for testing statistical algorithms for short-term wind power forecasting....

  16. Predictive powertrain control using powertrain history and GPS data

    DOE Patents [OSTI]

    Weslati, Feisel; Krupadanam, Ashish A

    2015-03-03

    A method and powertrain apparatus that predicts a route of travel for a vehicle and uses historical powertrain loads and speeds for the predicted route of travel to optimize at least one powertrain operation for the vehicle.

  17. High Precision Predictions for Exclusive V H Production at the...

    Office of Scientific and Technical Information (OSTI)

    High Precision Predictions for Exclusive V H Production at the LHC Citation Details In-Document Search Title: High Precision Predictions for Exclusive V H Production at the LHC...

  18. Health impact assessment in Korea

    SciTech Connect (OSTI)

    Kang, Eunjeong; Lee, Youngsoo; Harris, Patrick; Koh, Kwangwook; Kim, Keonyeop

    2011-07-15

    Recently, Health Impact Assessment has gained great attention in Korea. First, the Ministry of Environment introduced HIA within existing Environment Impact Assessment. Second, the Korea Institute for Health and Social Affairs began an HIA program in 2008 in alliance with Healthy Cities. In this short report, these two different efforts are introduced and their opportunities and challenges discussed. We believe these two approaches complement each other and both need to be strengthened. We also believe that both can contribute to the development of health in policy and project development and ultimately to improvements in the Korean population's health.

  19. Program Impacts | Department of Energy

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

    About the Solid-State Lighting Program » Program Impacts Program Impacts The 230-plus solid-state lighting R&D projects DOE has funded since 2000 have resulted in more than 245 patents applied for or awarded and a huge industry footprint, with literally millions of SSL products currently on the market that are based on at least some DOE-funded R&D. Those products have contributed to more than $2.8 billion in energy savings so far-a remarkable return on the total DOE SSL program

  20. Impact Pilots | Department of Energy

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

    Impact Pilots Impact Pilots Dr. David Danielson announces that NREL will be the leading lab of a newly funded Lab-Corps Pilot program Dr. David Danielson announces that NREL will be the leading lab of a newly funded Lab-Corps Pilot program Dr. David Danielson, Assistant Secretary for Energy Efficiency and Renewable Energy, U.S. Department of Energy announces that NREL will be the Leading lab of a newly funded Lab Core Pilot program, at a keynote speech at the 27th Industry Growth Forum in

  1. Systems and methods for predicting materials properties

    DOE Patents [OSTI]

    Ceder, Gerbrand (Wellesley, MA); Fischer, Chris (Somerville, MA); Tibbetts, Kevin (Winchester, MA); Morgan, Dane (Madison, WI); Curtarolo, Stefano (Durham, NC)

    2007-11-06

    Systems and methods for predicting features of materials of interest. Reference data are analyzed to deduce relationships between the input data sets and output data sets. Reference data includes measured values and/or computed values. The deduced relationships can be specified as equations, correspondences, and/or algorithmic processes that produce appropriate output data when suitable input data is used. In some instances, the output data set is a subset of the input data set, and computational results may be refined by optionally iterating the computational procedure. To deduce features of a new material of interest, a computed or measured input property of the material is provided to an equation, correspondence, or algorithmic procedure previously deduced, and an output is obtained. In some instances, the output is iteratively refined. In some instances, new features deduced for the material of interest are added to a database of input and output data for known materials.

  2. Adaptive method for electron bunch profile prediction

    SciTech Connect (OSTI)

    Scheinker, Alexander; Gessner, Spencer

    2015-10-01

    We report on an experiment performed at the Facility for Advanced Accelerator Experimental Tests (FACET) at SLAC National Accelerator Laboratory, in which a new adaptive control algorithm, one with known, bounded update rates, despite operating on analytically unknown cost functions, was utilized in order to provide quasi-real-time bunch property estimates of the electron beam. Multiple parameters, such as arbitrary rf phase settings and other time-varying accelerator properties, were simultaneously tuned in order to match a simulated bunch energy spectrum with a measured energy spectrum. The simple adaptive scheme was digitally implemented using matlab and the experimental physics and industrial control system. The main result is a nonintrusive, nondestructive, real-time diagnostic scheme for prediction of bunch profiles, as well as other beam parameters, the precise control of which are important for the plasma wakefield acceleration experiments being explored at FACET. © 2015 authors. Published by the American Physical Society.

  3. New model accurately predicts reformate composition

    SciTech Connect (OSTI)

    Ancheyta-Juarez, J.; Aguilar-Rodriguez, E. )

    1994-01-31

    Although naphtha reforming is a well-known process, the evolution of catalyst formulation, as well as new trends in gasoline specifications, have led to rapid evolution of the process, including: reactor design, regeneration mode, and operating conditions. Mathematical modeling of the reforming process is an increasingly important tool. It is fundamental to the proper design of new reactors and revamp of existing ones. Modeling can be used to optimize operating conditions, analyze the effects of process variables, and enhance unit performance. Instituto Mexicano del Petroleo has developed a model of the catalytic reforming process that accurately predicts reformate composition at the higher-severity conditions at which new reformers are being designed. The new AA model is more accurate than previous proposals because it takes into account the effects of temperature and pressure on the rate constants of each chemical reaction.

  4. An Anisotropic Hardening Model for Springback Prediction

    SciTech Connect (OSTI)

    Zeng, Danielle; Xia, Z. Cedric

    2005-08-05

    As more Advanced High-Strength Steels (AHSS) are heavily used for automotive body structures and closures panels, accurate springback prediction for these components becomes more challenging because of their rapid hardening characteristics and ability to sustain even higher stresses. In this paper, a modified Mroz hardening model is proposed to capture realistic Bauschinger effect at reverse loading, such as when material passes through die radii or drawbead during sheet metal forming process. This model accounts for material anisotropic yield surface and nonlinear isotropic/kinematic hardening behavior. Material tension/compression test data are used to accurately represent Bauschinger effect. The effectiveness of the model is demonstrated by comparison of numerical and experimental springback results for a DP600 straight U-channel test.

  5. Predict carbonation rate on iron catalyst

    SciTech Connect (OSTI)

    Dry, M.E.

    1980-02-01

    On solely thermodynamic grounds, the main hydrocarbon product of the Fischer-Tropsch reaction should be methane; in practice, however, carbon is frequently produced as well and deposited on the iron catalyst, fouling the active surface sites. South African Coal, Oil and Gas Corp., Ltd.'s experiments with a fluidized Fischer-Tropsch catalyst bed demonstrate that the rate of carbon deposition is strongly dependent on the hydrogen partial pressure in the reactor, much less dependent on the CO pressure, and not affected at all by the pressure of CO/sub 2/. A suggested reaction scheme for the Fischer-Tropsch synthesis explains these observations and provides a basis for a correlation useful in predicting carbon-deposition rates.

  6. Predictive and therapeutic markers in ovarian cancer

    DOE Patents [OSTI]

    Gray, Joe W.; Guan, Yinghui; Kuo, Wen-Lin; Fridlyand, Jane; Mills, Gordon B.

    2013-03-26

    Cancer markers may be developed to detect diseases characterized by increased expression of apoptosis-suppressing genes, such as aggressive cancers. Genes in the human chromosomal regions, 8q24, 11q13, 20q11-q13, were found to be amplified indicating in vivo drug resistance in diseases such as ovarian cancer. Diagnosis and assessment of amplification levels certain genes shown to be amplified, including PVT1, can be useful in prediction of poor outcome of patient's response and drug resistance in ovarian cancer patients with low survival rates. Certain genes were found to be high priority therapeutic targets by the identification of recurrent aberrations involving genome sequence, copy number and/or gene expression are associated with reduced survival duration in certain diseases and cancers, specifically ovarian cancer. Therapeutics to inhibit amplification and inhibitors of one of these genes, PVT1, target drug resistance in ovarian cancer patients with low survival rates is described.

  7. Adaptive method for electron bunch profile prediction

    SciTech Connect (OSTI)

    Scheinker, Alexander; Gessner, Spencer

    2015-10-15

    We report on an experiment performed at the Facility for Advanced Accelerator Experimental Tests (FACET) at SLAC National Accelerator Laboratory, in which a new adaptive control algorithm, one with known, bounded update rates, despite operating on analytically unknown cost functions, was utilized in order to provide quasi-real-time bunch property estimates of the electron beam. Multiple parameters, such as arbitrary rf phase settings and other time-varying accelerator properties, were simultaneously tuned in order to match a simulated bunch energy spectrum with a measured energy spectrum. The simple adaptive scheme was digitally implemented using matlab and the experimental physics and industrial control system. Thus, the main result is a nonintrusive, nondestructive, real-time diagnostic scheme for prediction of bunch profiles, as well as other beam parameters, the precise control of which are important for the plasma wakefield acceleration experiments being explored at FACET.

  8. PROJECT PROFILE: Case Western Reserve University (PREDICTS 2) | Department

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

    of Energy Case Western Reserve University (PREDICTS 2) PROJECT PROFILE: Case Western Reserve University (PREDICTS 2) CWRU Logo.jpg Funding Opportunity: PREDICTS 2 SunShot Subprogram: PV Location: Cleveland, OH Amount Awarded: $1,350,000 Awardee Cost Share: $348,425 Principal Investigator: Roger French Under their PREDICTS 2 award, researchers at Case Western Reserve University will analyze data sets from over 5 million solar photovoltaic (PV) panels around the world to learn how various

  9. PROJECT PROFILE: Lawrence Livermore National Laboratory (PREDICTS 2) |

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

    Department of Energy Lawrence Livermore National Laboratory (PREDICTS 2) PROJECT PROFILE: Lawrence Livermore National Laboratory (PREDICTS 2) Funding Opportunity: PREDICTS 2 LLNL Logo.png SunShot Subprogram: PV Location: Livermore, CA Amount Awarded: $570,000 Awardee Cost Share: $375,000 Principal Investigator: Mihail Bora As a part of their PREDICTS 2 award, researchers at Lawrence Livermore National Laboratory (LLNL) will explore the use of spectral imaging as a non-destructive means of

  10. PROJECT PROFILE: University of Illinois-Urbana Champaign (PREDICTS 2) |

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

    Department of Energy Illinois-Urbana Champaign (PREDICTS 2) PROJECT PROFILE: University of Illinois-Urbana Champaign (PREDICTS 2) Funding Opportunity: PREDICTS 2 University of Illinois Logo.gif SunShot Subprogram: PV Location: Urbana, IL Amount Awarded: $1,349,998 Awardee Cost Share: $339,822 Principal Investigator: Angus Rockett Under their PREDICTS2 award, researchers at the University of Illinois-Urbana Champaign are examining how to reduce the instability of materials used for copper

  11. QCD Prediction for Heavy Boson Transverse Momentum Distributions (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | SciTech Connect QCD Prediction for Heavy Boson Transverse Momentum Distributions Citation Details In-Document Search Title: QCD Prediction for Heavy Boson Transverse Momentum Distributions We investigate the predictive power of the Collins, Soper, and Sterman b -space QCD resummation formalism for transverse momentum (Q{sub T}) distributions of heavy boson production in hadronic collisions. We show that the predictive power has a strong dependence on the collision energy S in

  12. Today's Forecast: Improved Wind Predictions | Department of Energy

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

    Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical

  13. Environmental Impact Statement | netl.doe.gov

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

    Impact Statements DOE/EIS-0473 - W.A. Parish Post-Combustion CO2 Capture and Sequestration Project Notice of Intent (November 2011) Draft Environmental Impact Statement (September 2012) Final Environmental Impact Statement (February 2013) Record of Decision (May 2013) Mitigation Action Plan (June 2013) DOE/EIS-0464 - Lake Charles CCS Project Notice of Intent (April 2011) Draft Environmental Impact Statement (April 2013) Final Environmental Impact Statement (November 2013) Record of Decision

  14. WINDExchange: Jobs and Economic Development Impact Models

    Wind Powering America (EERE)

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers Economic Development Jobs and Economic Development Impacts Model Resources & Tools Siting Jobs and Economic Development Impact Models JEDI: Jobs and Economic Development Impacts Model Fact Sheet PDF The Jobs and Economic Development Impact (JEDI) models are user-friendly tools that estimate the economic impacts of constructing and operating power generation at the local and state levels. Based on

  15. High Impact Technology HQ | Department of Energy

    Energy Savers [EERE]

    Impact Technology Catalyst » High Impact Technology HQ High Impact Technology HQ High Impact Technology HQ Home Resources for Evaluators -- Site Evaluation Checklists, General M&V Plans, General Templates Host a Site -- Current Opportunities for Owners and Operators Provide Information About Technologies -- Open Opportunities, Upcoming Events, Prioritization Tool Input Form Results -- Technology Highlights, Case Studies, Final Technical Reports, Market Stimulation Activities The High Impact

  16. Optimizing parameters for predicting the geochemical behavior and

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

    performance of discrete fracture networks in geothermal systems | Department of Energy Optimizing parameters for predicting the geochemical behavior and performance of discrete fracture networks in geothermal systems Optimizing parameters for predicting the geochemical behavior and performance of discrete fracture networks in geothermal systems Optimizing parameters for predicting the geochemical behavior and performance of discrete fracture networks in geothermal systems presentation at the

  17. How Technology Keeps Beating Peak Oil Predictions | GE Global...

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

    will reach their maximum production." - Van H. Manning, U.S. Bureau of Mines 1956 - "U.S. oil production will likely peak between 1965 and 1970 and decline steadily thereafter." -...

  18. Simplified Method for Modeling the Impact of Arbitrary Partial Shading Conditions on PV Array Performance: Preprint

    SciTech Connect (OSTI)

    MacAlpine, Sara; Deline, Chris

    2015-09-15

    It is often difficult to model the effects of partial shading conditions on PV array performance, as shade losses are nonlinear and depend heavily on a system's particular configuration. This work describes and implements a simple method for modeling shade loss: a database of shade impact results (loss percentages), generated using a validated, detailed simulation tool and encompassing a wide variety of shading scenarios. The database is intended to predict shading losses in crystalline silicon PV arrays and is accessed using basic inputs generally available in any PV simulation tool. Performance predictions using the database are within 1-2% of measured data for several partially shaded PV systems, and within 1% of those predicted by the full, detailed simulation tool on an annual basis. The shade loss database shows potential to considerably improve performance prediction for partially shaded PV systems.

  19. Global extreme events and their regional economic impact: 1996 update

    SciTech Connect (OSTI)

    Shen, S.

    1996-12-31

    The meaning of global warming and its relevance to everyday life is explained. Simple thermodynamics is used to predict an oscillatory nature of the change in climate due to global warming. The regional economic impacts of global extreme events are what mankind needs to focus on in government and private sector policy and planning. The economic impact of global warming has been tracked by the Extreme Event Index (EEI) established by the Global Warming International Center (GWIC). This review will update the overall trend and the components of the EEI from 1960 to 1996. The regional components of the global EEI have provided an excellent gauge for measuring the statistical vulnerability of any geographical locality in climate related economic disasters. The author further explains why we no longer fully understand the nature and magnitudes of common phenomena such as storms and wind speeds because of these extreme events, precipitation and temperature oscillations, atmospheric thermal unrest, as well as the further stratification of clouds, and changes in the absorptive properties of clouds. Hurricane strength winds are increasingly common even in continental areas. The author links the increase in duration of the El Nino to global warming, and further predicts a high public health risk as a result of the earth`s transition to another equilibrium state in its young history.

  20. Ultrasonic-impact grinder system

    DOE Patents [OSTI]

    Calkins, N.C.

    1982-09-30

    The disclosure relates to an ultrasonic impact grinding apparatus utilizing a counterweight to set an unloaded friction free condition. An added weight is used to optimize feed rate in accordance with the material to be cut, tool size and the like.

  1. Predicting the Velocity and Azimuth of Fragments Generated by the Range Destruction or Random Failure of Rocket Casings and Tankage

    SciTech Connect (OSTI)

    Eck, Marshall B.; Mukunda, Meera

    1988-10-01

    The details of a predictive analytical modeling process as well as the development of normalized relations for momentum partition as a function of SRM burn time and initial geometry are discussed in this paper. Methods for applying similar modeling techniques to liquid-tankage-over-pressure failures are also discussed. These methods have been calibrated against observed SRM ascent failures and on-orbit tankage failures. Casing-quadrant sized fragments with velocities exceeding 100 m/s resulted from Titan 34D-SRM range destruct actions at 10 sec mission elapsed time (MET). Casing-quadrant sized fragments with velocities of approximately 200 m/s resulted from STS-SRM range destruct actions at 110 sec MET. Similar sized fragments for Ariane third stage and Delta second stage tankage were predicted to have maximum velocities of 260 m/s and 480 m/s respectively. Good agreement was found between the predictions and observations for five specific events and it was concluded that the methods developed have good potential for use in predicting the fragmentation process of a number of generically similar casing and tankage systems. There are three copies in the file, one of these is loose.

  2. Correlations to predict frictional pressure loss of hydraulic-fracturing slurry in coiled tubing

    SciTech Connect (OSTI)

    Shah, S.; Zhoi, Y.X.; Bailey, M.; Hernandez, J.

    2009-08-15

    Compared with conventional-tubing fracturing, coiled-tubing (CT) fracturing has several advantages. CT fracturing has become an effective stimulation technique for multizone oil and gas wells. It is also an attractive production-enhancement method for multiseam coalbed-methane wells, and wells with bypassed zones. The excessive frictional pressure loss through CT has been a concern in fracturing. The small diameter of the string limits the cross-sectional area open to flow. Furthermore, the tubing curvature causes secondary flow and results in extra flow resistance. This increased frictional pressure loss results in high surface pumping pressure. The maximum possible pump rate and sand concentration, therefore, have to be reduced. To design a CT fracturing job properly, it is essential to predict the frictional pressure loss through the tubing accurately. This paper presents correlations for the prediction of frictional pressure loss of fracturing slurries in straight tubing and CT. They are developed on the basis of full-scale slurry-flow tests with 11/2-in. CT and slurries prepared with 35 lbm/1,000 gal of guar gel. The extensive experiments were conducted at the full-scale CT-flow test facility. The proposed correlations have been verified with the experimental data and actual field CT-fracturing data. Case studies of wells recently fractured are provided to demonstrate the application of the correlations. The correlations will be useful to the CT engineers in their hydraulics design calculations.

  3. Impact

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

    SAND2013-3108C

  4. Impact

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

  5. Predicting Envelope Leakage in Attached Dwellings

    SciTech Connect (OSTI)

    Faakye, O.; Arena, L.; Griffiths, D.

    2013-07-01

    The most common method for measuring air leakage is to use a single blower door to pressurize and/or depressurize the test unit. In detached housing, the test unit is the entire home and the single blower door measures air leakage to the outside. In attached housing, this 'single unit', 'total', or 'solo' test method measures both the air leakage between adjacent units through common surfaces as well air leakage to the outside. Measuring and minimizing this total leakage is recommended to avoid indoor air quality issues between units, reduce energy losses to the outside, reduce pressure differentials between units, and control stack effect. However, two significant limitations of the total leakage measurement in attached housing are: for retrofit work, if total leakage is assumed to be all to the outside, the energy benefits of air sealing can be significantly over predicted; for new construction, the total leakage values may result in failing to meet an energy-based house tightness program criterion. The scope of this research is to investigate an approach for developing a viable simplified algorithm that can be used by contractors to assess energy efficiency program qualification and/or compliance based upon solo test results.

  6. Sub-Hourly Impacts of High Solar Penetrations in the Western United States: Preprint

    SciTech Connect (OSTI)

    Lew, D.; Brinkman, G.; Ibanez, E.; Hummon, M.; Hodge, B. M.; Heaney, M.; King, J.

    2012-09-01

    This paper presents results of analysis on the sub-hourly impacts of high solar penetrations from the Western Wind and Solar Integration Study Phase 2. Extreme event analysis showed that most large ramps were due to sunrise and sunset events, which have a significant predictability component. Variability in general was much higher in the high-solar versus high-wind scenario. Reserve methodologies that had already been developed for wind were therefore modified to take into account the predictability component of solar variability.

  7. Factors Impacting Decommissioning Costs - 13576

    SciTech Connect (OSTI)

    Kim, Karen; McGrath, Richard

    2013-07-01

    The Electric Power Research Institute (EPRI) studied United States experience with decommissioning cost estimates and the factors that impact the actual cost of decommissioning projects. This study gathered available estimated and actual decommissioning costs from eight nuclear power plants in the United States to understand the major components of decommissioning costs. Major costs categories for decommissioning a nuclear power plant are removal costs, radioactive waste costs, staffing costs, and other costs. The technical factors that impact the costs were analyzed based on the plants' decommissioning experiences. Detailed cost breakdowns by major projects and other cost categories from actual power plant decommissioning experiences will be presented. Such information will be useful in planning future decommissioning and designing new plants. (authors)

  8. Assessing corporate project impacts in changeable contexts: A human rights perspective

    SciTech Connect (OSTI)

    Salcito, Kendyl; Singer, Burton H.; Krieger, Gary R.; Weiss, Mitchell G.; Wielga, Mark; Utzinger, Jrg

    2014-07-01

    Project-level impact assessment was originally conceived as a snapshot taken in advance of project implementation, contrasting current conditions with a likely future scenario involving a variety of predicted impacts. Current best practice guidance has encouraged a shift towards longitudinal assessments from the pre-project stage through the implementation and operating phases. Experience and study show, however, that assessment of infrastructure-intensive projects rarely endures past the project's construction phase. Negative consequences for environmental, social and health outcomes have been documented. Such consequences clarify the pressing need for longitudinal assessment in each of these domains, with human rights impact assessment (HRIA) as an umbrella over, and critical augmentation of, environmental, social and health assessments. Project impacts on human rights are more closely linked to political, economic and other factors beyond immediate effects of a company's policy and action throughout the project lifecycle. Delineating these processes requires an adequate framework, with strategies for collecting longitudinal data, protocols that provide core information for impact assessment and guidance for adaptive mitigation strategies as project-related effects change over time. This article presents general principles for the design and implementation of sustained, longitudinal HRIA, based on experience assessing and responding to human rights impact in a uranium mining project in Malawi. The case study demonstrates the value of longitudinal assessment both for limiting corporate risk and improving human welfare. - Graphical abstract: Assessing changes in human rights condition as affected by both project and context, over time. - Highlights: Corporate capital projects affect human rights in myriad ways. Ongoing, longitudinal impact assessment techniques are needed. We present an approach for conducting longitudinal human rights impact assessment. Our methodology allows distinguishing corporate impacts from contextual changes. Promptly observing context changes and impacts enables companies to react nimbly.

  9. Impacts of Advanced Combustion Engines

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

    Impacts of Advanced Combustion Engines This presentation does not contain any proprietary, confidential, or otherwise restricted information VSS140 2015 U.S. DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting June 9, 2015 Principal Investigators: Scott Curran, Presenter Zhiming Gao, David Smith, Stuart Daw 2 ORNL - 2015 VSS 140 AMR OVERVIEW Timeline * Project start date: Oct. 2013 * Project end date: Continuing * Activity scope changes to

  10. FINDING OF NO SIGNIFICANT IMPACT

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

    COMMERCIAL DEMONSTRATION OF THE MANUFACTURED AGGREGATE PROCESSING TECHNOLOGY UTILIZING SPRAY DRYER ASH 1 AGENCY: U.S. Department of Energy (DOE) ACTION: Finding of No Significant Impact (FONSI) SUMMARY: The DOE has prepared an Environmental Assessment (EA), DOE/EA-1449, to analyze the potential environmental consequences of participating in a cooperative agreement with Universal Aggregates, LLC, for the design, construction, and operation of a plant to manufacture lightweight aggregates. The

  11. Environmental Impacts of Smart Grid

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

    Environmental Impacts of Smart Grid January 10, 2011 DOE/NETL-2010/1428 Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use

  12. Our Impact | Argonne National Laboratory

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

    Our Impact Argonne is the largest federally funded R&D center in Illinois and the entire Midwest. For 65 years, our scientific and engineering research has helped drive the region's economic growth and bring high-tech workers into the state. Today, as the United States faces major challenges in energy, environment and national security, research at Argonne fuels the economic competitiveness of Illinois, the Midwest and beyond. Our goal is to ignite an innovation ecology that strengthens

  13. Low amplitude impact of PBX 9501: Modified Steven spigot gun tests

    SciTech Connect (OSTI)

    Idar, D.J.; Lucht, R.A.; Straight, J.W.

    1998-12-01

    Low-velocity mechanical impact and subsequent high explosive (HE) reaction are of concern in credible accident scenarios involving the handling, transport, and storage of nuclear weapons. Using modified Steven spigot gun tests, the authors have investigated the high-explosive violent-reaction (HEVR) potential of PBX 9501 to low-amplitude insult. Reliable modeling predictions require that one identify the relevant parameters and behavioral responses that are key to the reaction mechanism(s) in PBX 9501. Additional efforts have been targeted at identifying relevant differences in the response between baseline and stockpile-aged PBX 9501 to low-velocity impacts.

  14. EIS-0012: Petroleum Production at Maximum Efficient Rate, Naval Petroleum Reserve #1, Elk Hills, Kern County, California (also see EA-0261, EA-0334, and EIS-0158-S)

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy prepared this statement to evaluate the environmental impacts of increasing petroleum production, and of additional or expanded operational facilities, at Elk Hills from 160,000 barrels per day up to 240,000 barrels per day.

  15. Low Velocity Sphere Impact of a Borosilicate Glass

    SciTech Connect (OSTI)

    Morrissey, Timothy G; Ferber, Mattison K; Wereszczak, Andrew A; Fox, Ethan E

    2012-05-01

    This report summarizes US Army TARDEC sponsored work at Oak Ridge National Laboratory (ORNL) involving low velocity (< 30 m/s or < 65 mph) ball impact testing of Borofloat borosilicate glass, and is a follow-up to a similar study completed by the authors on Starphire soda-lime silicate glass last year. The response of the borosilicate glass to impact testing at different angles was also studied. The Borofloat glass was supplied by the US Army Research Laboratory and its tin-side was impacted or indented. The intent was to better understand low velocity impact response in the Borofloat. Seven sphere materials were used whose densities bracket that of rock: borosilicate glass, soda-lime silicate glass, silicon nitride, aluminum oxide, zirconium oxide, carbon steel, and a chrome steel. A gas gun or a ball-drop test setup was used to produce controlled velocity delivery of the spheres against the glass tile targets. Minimum impact velocities to initiate fracture in the Borofloat were measured and interpreted in context to the kinetic energy of impact and the elastic property mismatch between the seven sphere-Borofloat-target combinations. The primary observations from this low velocity (< 30 m/s or < 65 mph) testing were: (1) BS glass responded similarly to soda-lime silicate glass when spherically indented but quite differently under sphere impact conditions; (2) Frictional effects contributed to fracture initiation in BS glass when it spherically indented. This effect was also observed with soda-lime silicate glass; (3) The force necessary to initiate fracture in BS glass under spherical impact decreases with increasing elastic modulus of the sphere material. This trend is opposite to what was observed with soda-lime silicate glass. Friction cannot explain this trend and the authors do not have a legitimate explanation for it yet; (4) The force necessary to initiate contact-induced fracture is higher under dynamic conditions than under quasi-static conditions. That difference decreases with increasing elastic modulus mismatch between the sphere material and borosilicate This trend was opposite in soda-lime silicate glass; (5) Fracture in borosilicate glass occurs at lower velocities (i.e., easier) at 24{sup o} than at 0{sup o} (orthogonal) and 46{sup o} of impact for the same probability of failure. Though not analyzed yet, this suggests that a convolution of kinetic energy and friction is contributing to that trend; (6) There is a subtle indication there was intra-tile differences in spherical indentation RCIF. This likely is not a material property nor exclusive to borosilicate glass, rather, it is a statistical response of a combination of local, surface-located flaw and imposed tensile stress. Understanding of the surface flaw population and flaw positioning can likely enable prediction of spherical indentation RCIF; and (7) Contact-induced fracture did not initiate in the Borofloat BS for impact kinetic energies up to {approx} 20 mJ. For kinetic energies between {approx} 20-150 mJ, fracture sometimes initiated. Contact-induced fracture would always occur for impact energies > 150 mJ. The energy values, and their boundaries, were much lower for BS glass than they were for soda-lime silicate glass.

  16. Predicted thermal performance of triple vacuum glazing

    SciTech Connect (OSTI)

    Fang, Yueping; Hyde, Trevor J.; Hewitt, Neil

    2010-12-15

    The simulated triple vacuum glazing (TVG) consists of three 4 mm thick glass panes with two vacuum gaps, with each internal glass surface coated with a low-emittance coating with an emittance of 0.03. The two vacuum gaps are sealed by an indium based sealant and separated by a stainless steel pillar array with a height of 0.12 mm and a pillar diameter of 0.3 mm spaced at 25 mm. The thermal transmission at the centre-of-glazing area of the TVG was predicted to be 0.26 W m{sup -2} K{sup -1}. The simulation results show that although the thermal conductivity of solder glass (1 W m{sup -1} K{sup -1}) and indium (83.7 W m{sup -1} K{sup -1}) are very different, the difference in thermal transmission of TVGs resulting from the use of an indium and a solder glass edge seal was 0.01 W m{sup -2} K{sup -1}. This is because the edge seal is so thin (0.12 mm), consequently there is a negligible temperature drop across it irrespective of the material that the seal is made from relative to the total temperature difference across the glazing. The results also show that there is a relatively large increase in the overall thermal conductance of glazings without a frame when the width of the indium edge seal is increased. Increasing the rebate depth in a solid wood frame decreased the heat transmission of the TVG. The overall heat transmission of the simulated 0.5 m by 0.5 m TVG was 32.6% greater than that of the 1 m by 1 m TVG, since heat conduction through the edge seal of the small glazing has a larger contribution to the total glazing heat transfer than that of the larger glazing system. (author)

  17. Automating Natural Disaster Impact Analysis: An Open Resource to Visually Estimate a Hurricane s Impact on the Electric Grid

    SciTech Connect (OSTI)

    Barker, Alan M; Freer, Eva B; Omitaomu, Olufemi A; Fernandez, Steven J; Chinthavali, Supriya; Kodysh, Jeffrey B

    2013-01-01

    An ORNL team working on the Energy Awareness and Resiliency Standardized Services (EARSS) project developed a fully automated procedure to take wind speed and location estimates provided by hurricane forecasters and provide a geospatial estimate on the impact to the electric grid in terms of outage areas and projected duration of outages. Hurricane Sandy was one of the worst US storms ever, with reported injuries and deaths, millions of people without power for several days, and billions of dollars in economic impact. Hurricane advisories were released for Sandy from October 22 through 31, 2012. The fact that the geoprocessing was automated was significant there were 64 advisories for Sandy. Manual analysis typically takes about one hour for each advisory. During a storm event, advisories are released every two to three hours around the clock, and an analyst capable of performing the manual analysis has other tasks they would like to focus on. Initial predictions of a big impact and landfall usually occur three days in advance, so time is of the essence to prepare for utility repair. Automated processing developed at ORNL allowed this analysis to be completed and made publicly available within minutes of each new advisory being released.

  18. Ocean energy resources: the impact of OTEC

    SciTech Connect (OSTI)

    Ditmars, J.D.

    1980-01-01

    The status of OTEC technological development is summarized with emphasis on the potential impacts of OTEC power production on the ocean environment, including implications for impacts to climate. (MHR)

  19. Site-wide Environmental Impact Statement

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

    SWEIS Site-wide Environmental Impact Statement We analyze the potential environmental impacts associated with Laboratory operations and facilities. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 Email The Site-wide Environmental Impact Statement forms the backbone of the National Environmental Policy Act documentation for LANL's continued facility operations. Site-wide Environmental Impact Statement The Site-wide

  20. EIS-0523: Draft Programmatic Environmental Impact Statement

    Broader source: Energy.gov [DOE]

    Nationwide Public Safety Broadband Network Draft Programmatic Environmental Impact Statement for the Non-Contiguous United States

  1. Partners and Stakeholders: Roles and Potential Impact

    Broader source: Energy.gov [DOE]

    Partners and Stakeholders: Roles and Potential Impact, Chapter 6 from the Clean Energy Finance Guide, Third Edition

  2. Environmental Impact Statement Checklist | Department of Energy

    Office of Environmental Management (EM)

    Checklist Environmental Impact Statement Checklist This DOE Environmental Impact Statement Checklist is provided to assist EIS preparers and reviewers in meeting the requirements of the National Environmental Policy Act (NEPA). PDF icon Environmental Impact Statement Checklist More Documents & Publications Mini-Guidance Articles from Lessons Learned Quarterly Reports, Dec. 1994 to Sept. 2005 Recommendations for the Preparation of Environmental Assessments and Environmental Impact Statements

  3. Environmental Impact Statements (EIS) | Department of Energy

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

    Environmental Impact Statements (EIS) Environmental Impact Statements (EIS) Environmental Impact Statements are detailed written statements that are required by section 102(2)(C) of NEPA for a proposed major Federal action significantly affecting the quality of the human environment. If you have any trouble finding a specific document, please contact AskNEPA@hq.doe.gov for assistance. DOCUMENTS AVAILABLE FOR DOWNLOAD December 18, 2015 EIS-0393: Final Environmental Impact Statement Montanore

  4. National Laboratory Impact Initiative | Department of Energy

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

    National Laboratory Impact Initiative National Laboratory Impact Initiative In an effort to better utilize national laboratory resources, DOE's Office of Renewable Energy (EERE) launched the National Laboratory Impact (Lab Impact) Initiative in December 2013. The Initiative emphasizes the importance of commercializing lab work by bringing together leaders from government, academia, the national laboratories, and the private sector to increase understanding and communication for an effective

  5. High Impact Technology Catalyst | Department of Energy

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

    Commercial Buildings » High Impact Technology Catalyst High Impact Technology Catalyst High impact technologies (HITs) are cost-effective, underutilized energy-efficient commercial building technologies. Through the High Impact Technology Catalyst program, initiated in 2014, the U.S. Department of Energy (DOE) identifies and guides HITs through their early market introduction phases, ultimately leading them to the broader market through partnerships with the commercial buildings industry via

  6. A generalized procedure for the prediction of multicomponent adsorption equilibria

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

    Ladshaw, Austin; Yiacoumi, Sotira; Tsouris, Costas

    2015-04-27

    Prediction of multicomponent adsorption equilibria has been investigated for several decades. While there are theories available to predict the adsorption behavior of ideal mixtures, there are few purely predictive theories to account for nonidealities in real systems. Most models available for dealing with nonidealities contain interaction parameters that must be obtained through correlation with binary-mixture data. However, as the number of components in a system grows, the number of parameters needed to be obtained increases exponentially. Here, a generalized procedure is proposed, as an extension of the predictive real adsorbed solution theory, for determining the parameters of any activity model,morefor any number of components, without correlation. This procedure is then combined with the adsorbed solution theory to predict the adsorption behavior of mixtures. As this method can be applied to any isotherm model and any activity model, it is referred to as the generalized predictive adsorbed solution theory.less

  7. BuildingIQ, Inc: Predictive Energy Optimization | Department of Energy

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

    BuildingIQ, Inc: Predictive Energy Optimization BuildingIQ, Inc: Predictive Energy Optimization BuildingIQ, Inc: Predictive Energy Optimization Lead Performer: BuildingIQ, Inc. - Foster City, California Partners: Department of General Services - Washington, DC DOE Funding: $1,767,138 Cost Share: $1,767,138 Project Term: October 2014 - September 2016 Funding Opportunity: Funding Opportunity Announcement Number DE-FOA-0001084 Project Objective BuildingIQ offers an innovative, scalable and low-cost

  8. Quantifying effectiveness of failure prediction and response in HPC systems

    Office of Scientific and Technical Information (OSTI)

    : methodology and example. (Conference) | SciTech Connect Quantifying effectiveness of failure prediction and response in HPC systems : methodology and example. Citation Details In-Document Search Title: Quantifying effectiveness of failure prediction and response in HPC systems : methodology and example. Effective failure prediction and mitigation strategies in high-performance computing systems could provide huge gains in resilience of tightly coupled large-scale scientific codes. These

  9. PNNL: Mechanistic-Based Ductility Prediction for Complex Mg Castings |

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

    Department of Energy PNNL: Mechanistic-Based Ductility Prediction for Complex Mg Castings PNNL: Mechanistic-Based Ductility Prediction for Complex Mg Castings 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon lm057_sun_2012_o.pdf More Documents & Publications PNNL: Mechanistic-Based Ductility Prediction for Complex Mg Castings Vehicle Technologies Office Merit Review 2014: Mechanistic-based Ductility

  10. Predicting Corrosion of Advanced Materials and Fabricated Components |

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

    Department of Energy Predicting Corrosion of Advanced Materials and Fabricated Components Predicting Corrosion of Advanced Materials and Fabricated Components Corrosion Prediction Software Tool Facilitates Selection and Development of Corrosion-Resistant Alloys Based on the fundamental understanding of corrosion phenomena, OLI Systems, Inc., with assistance from AMO, developed the CorrosionAnalyzer, a methodology that simulates the electrochemical reactions and associated physical processes

  11. Project Profile: Predictive Physico-Chemical Modeling of Intrinsic

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

    Degradation Mechanisms for Advanced Reflector Materials | Department of Energy Predictive Physico-Chemical Modeling of Intrinsic Degradation Mechanisms for Advanced Reflector Materials Project Profile: Predictive Physico-Chemical Modeling of Intrinsic Degradation Mechanisms for Advanced Reflector Materials NREL logo NREL, under the Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar (PREDICTS) Program will be developing a physics-based computational

  12. Eulerian CFD Models to Predict Thermophoretic Deposition of Soot Particles

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

    in EGR Coolers | Department of Energy Eulerian CFD Models to Predict Thermophoretic Deposition of Soot Particles in EGR Coolers Eulerian CFD Models to Predict Thermophoretic Deposition of Soot Particles in EGR Coolers This paper describes an Eulerian axisymmetric method in Fluent(R) to predict the overall heat transfer reduction of a surrogate tube due to thermophoretic deposition of submicron particles. PDF icon deer11_abarham.pdf More Documents & Publications Vehicle Technologies

  13. Pollution Prevention - Environmental Impact Reduction Checklists for

    Energy Savers [EERE]

    NEPA/309 Reviewers | Department of Energy Pollution Prevention - Environmental Impact Reduction Checklists for NEPA/309 Reviewers Pollution Prevention - Environmental Impact Reduction Checklists for NEPA/309 Reviewers The environmental review process under the National Environmental Policy Act (NEPA) provides a valuable opportunity for Federal agency NEPA/309 reviewers to incorporate pollution prevention and environmental impact reduction into actions (or projects). This Environmental

  14. Environmental Impact Statement Summary | Department of Energy

    Office of Environmental Management (EM)

    Summary Environmental Impact Statement Summary This DOE guidance is intended to help EIS preparers draft the EIS summary. PDF icon Environmental Impact Statement Summary More Documents & Publications "Frequently Asked Questions" on the Department of Energy's NEPA Regulations EIS-0456: Final Environmental Impact Statement EIS-0245-SA-03: Supplement Analysis

  15. WIPP - Idaho Impacts | Department of Energy

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

    Presentation from the 2015 DOE National Cleanup Workshop by Jack Zimmerman, Deputy Manager for the Idaho Cleanup Project, DOE Idaho Operations Office. PDF icon WIPP - Idaho Impacts More Documents & Publications EIS-0200-SA-03: Supplement Analysis EIS-0026-S2: Final Supplemental Environmental Impact Statement How Does the WIPP Shutdown Impact New Mexico, Idaho, and South Carolina

  16. Prediction of Material Thermal Properties and Beam-Particle Interactio...

    Office of Scientific and Technical Information (OSTI)

    and Beam-Particle Interaction at Meso-Scale during Electron Beam Additive Manufacturing Citation Details In-Document Search Title: Prediction of Material Thermal...

  17. THE EFFECT OF UNCERTAINTY IN MODELING COEFFICIENTS USED TO PREDICT...

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

    UNCERTAINTY IN MODELING COEFFICIENTS USED TO PREDICT ENERGY PRODUCTION USING THE SANDIA ARRAY ... relating voltage and current to solar irradiance, for crystalline silicon modules. ...

  18. Scientists uncover combustion mechanism to better predict warming...

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

    predict warming by wildfires Scientists have uncovered key attributes of so-called "brown carbon" from wildfires. August 4, 2014 Wildfire fuel being burned in the fire...

  19. Chiral effective field theory predictions for muon capture on...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Chiral effective field theory predictions for muon capture on deuteron and 3He Citation Details In-Document Search Title: Chiral effective field theory...

  20. Prediction of ordered arrays of nanoparticle superlattices by...

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

    Prediction of ordered arrays of nanoparticle superlattices by self-assembly Engineering the interfaces that will solve the technological challenges of this century requires an...

  1. PCR Amplicon Prediction from Multiplex Degenerate Primer and Probe Sets

    Energy Science and Technology Software Center (OSTI)

    2013-08-08

    Assessing primer specificity and predicting both desired and off-target amplification products is an essential step for robust PCR assay design. Code is described to predict potential polymerase chain reaction (PCR) amplicons in a large sequence database such as NCBI nt from either singleplex or a large multiplexed set of primers, allowing degenerate primer and probe bases, with target mismatch annotates amplicons with gene information automatically downloaded from NCBI, and optionally it can predict whether theremore » are also TaqMan/Luminex probe matches within predicted amplicons.« less

  2. Predictive Models of Li-ion Battery Lifetime (Presentation) Smith...

    Office of Scientific and Technical Information (OSTI)

    Predictive Models of Li-ion Battery Lifetime (Presentation) Smith, K.; Wood, E.; Santhanagopalan, S.; Kim, G.; Shi, Y.; Pesaran, A. 25 ENERGY STORAGE; 33 ADVANCED PROPULSION...

  3. Prediction of Heat Capacities of Solid Inorganic Salts from Group

    Office of Scientific and Technical Information (OSTI)

    ... Joback (1984) used the following knctional form to predict C, of organic ideal gases: C, ... Massachusetts Institute of Technology. Cambridge, Massachusetts, June, 1984. Kanacke, 0.; ...

  4. Accurate Predictions of Fuel Effects on Combustion and Emissions...

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

    With Detailed Fuel Chemistry Accurate Predictions of Fuel Effects on Combustion and Emissions in Engines Using CFD Simulations With Detailed Fuel Chemistry Accurate fuel models ...

  5. High Level Computational Chemistry Approaches to the Prediction...

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

    Level Computational Chemistry Approaches to the Prediction of Energetic Properties of Chemical Hydrogen Storage Systems High Level Computational Chemistry Approaches to the ...

  6. CASL - Successful expanded prediction of the nature of CRUD found...

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

    Successful expanded prediction of the nature of CRUD found in pressurized water reactor coolant The deposition of CRUD (Chalk River Unidentified Deposits) on fuel rods and in other...

  7. Predicting Thermal Stress in Diesel Particulate Filters | Department...

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

    Thermal Stress in Diesel Particulate Filters Predicting Thermal Stress in Diesel Particulate Filters 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: Corning...

  8. New climate model predicts likelihood of Greenland ice melt,...

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

    of accumulated carbon emissions predicts the likelihood of crossing several dangerous climate change thresholds. November 20, 2015 Greenland ice loss. Greenland ice loss....

  9. A Piezoelectric Sensor Based Smart-Die Structure for Predicting...

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

    A Piezoelectric Sensor Based Smart-Die Structure for Predicting the Onset of Failure During Die Casting Operations Colorado School of Mines Contact CSM About This Technology...

  10. Project Profile: Predictive Physico-Chemical Modeling of Intrinsic...

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

    NREL logo NREL, under the Physics of Reliability: Evaluating Design Insights for Component Technologies in Solar (PREDICTS) Program will be developing a physics-based computational ...

  11. Predictive Control of Hot Water Heaters - Energy Innovation Portal

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

    Efficiency Building Energy Efficiency Find More Like This Return to Search Predictive Control of Hot Water Heaters National Renewable Energy Laboratory Contact NREL About This...

  12. Illustrating the future prediction of performance based on computer...

    Office of Scientific and Technical Information (OSTI)

    Illustrating the future prediction of performance based on computer code, physical experiments, and critical performance parameter samples Citation Details In-Document Search...

  13. Direct Numerical Simulations and Robust Predictions of Cloud...

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

    cloud. Credit: Computational Science and Engineering Laboratory, ETH Zurich, Switzerland Direct Numerical Simulations and Robust Predictions of Cloud Cavitation Collapse PI Name:...

  14. Predicting Local Transport Coefficients at Solid-Gas Interfaces...

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

    the predictability of the coefficient quantifying this local process, the surface permeability , by means of a two-scale simulation approach. Methane tracer-release from the...

  15. Residual Stresses for Structural Analysis and Fatigue Life Prediction...

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

    Stresses for Structural Analysis and Fatigue Life Prediction in Vehicle Components: Success stories from the High Temperature Materials Laboratory (HTML) User Program Residual ...

  16. Illustrating the future prediction of performance based on computer...

    Office of Scientific and Technical Information (OSTI)

    Illustrating the future prediction of performance based on computer code, physical experiments, and critical performance parameter samples Citation Details In-Document Search ...

  17. Prediction of New Hydrogen Storage Compounds and Mixtures

    Broader source: Energy.gov [DOE]

    Presentation on the Prediction of New Hydrogen Storage Compounds and Mixtures given at the DOE Theory Focus Session on Hydrogen Storage Materials on May 18, 2006.

  18. Comparison of Uncertainty of Two Precipitation Prediction Models...

    Office of Scientific and Technical Information (OSTI)

    Comparison of Uncertainty of Two Precipitation Prediction Models at Los Alamos National Lab Technical Area 54 Citation Details In-Document Search Title: Comparison of Uncertainty...

  19. Towards First Principles prediction of Voltage Dependences of...

    Office of Scientific and Technical Information (OSTI)

    Towards First Principles prediction of Voltage Dependences of ElectrolyteElectrolyte Interfacial Processes in Lithium Ion Batteries. Citation Details In-Document Search Title:...

  20. Tool Improves Electricity Demand Predictions to Make More Room...

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

    California Independent System Operator (California ISO), is currently testing the tool. ... Using the tool, California ISO engineers were able to predict a shortfall in the system's ...

  1. Limitations and requirements of using the chemical speciation code, MINTEQA2, to predict water quality impacts at fossil plants

    SciTech Connect (OSTI)

    Danzig, A.J.; McEntyre, C.L.

    1995-10-01

    The chemical speciation model, MINTEQA2, was used to simulate the effects of proposed waste process changes on the final waste water effluent at coal-fired power plants. The chemistry of the waste water system at the plants was extremely complex, involving factors such as temperature, redox couples, ionic strength, adsorption, and gas phase equilibria. MINTEQA2 is capable of computing equilibria among the dissolved, adsorbed, solid, and gas phases in an environmental setting. This paper focuses on the limitations and requirements of using the model for these purposes. Specifics include sampling protocols, biological factors, and knowledge of how MINTEQA2 works. This approach could be used to aid in modeling treatment systems for a variety of power generated wastes.

  2. A Workshop to Identify Research Needs and Impacts in Predictive Simulation for Internal Combustion Engines (PreSICE)

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

    Disclaimer This report was prepared as an account of a workshop sponsored by the U.S. Department of Energy. Neither the United States Government nor any agency thereof, nor any of their employees or officers, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any

  3. Predicting the impacts of climate change on animal distributions: the importance of local adaptation and species' traits

    SciTech Connect (OSTI)

    HELLMANN, J. J.; LOBO, N. F.

    2011-12-20

    The geographic range limits of many species are strongly affected by climate and are expected to change under global warming. For species that are able to track changing climate over broad geographic areas, we expect to see shifts in species distributions toward the poles and away from the equator. A number of ecological and evolutionary factors, however, could restrict this shifting or redistribution under climate change. These factors include restricted habitat availability, restricted capacity for or barriers to movement, or reduced abundance of colonists due the perturbation effect of climate change. This research project examined the last of these constraints - that climate change could perturb local conditions to which populations are adapted, reducing the likelihood that a species will shift its distribution by diminishing the number of potential colonists. In the most extreme cases, species ranges could collapse over a broad geographic area with no poleward migration and an increased risk of species extinction. Changes in individual species ranges are the processes that drive larger phenomena such as changes in land cover, ecosystem type, and even changes in carbon cycling. For example, consider the poleward range shift and population outbreaks of the mountain pine beetle that has decimated millions of acres of Douglas fir trees in the western US and Canada. Standing dead trees cause forest fires and release vast quantities of carbon to the atmosphere. The beetle likely shifted its range because it is not locally adapted across its range, and it appears to be limited by winter low temperatures that have steadily increased in the last decades. To understand range and abundance changes like the pine beetle, we must reveal the extent of adaptive variation across species ranges - and the physiological basis of that adaptation - to know if other species will change as readily as the pine beetle. Ecologists tend to assume that range shifts are the dominant response of species to climate change, but our experiments suggest that other processes may act in some species that reduce the likelihood of geographic range change. In the first part of our DOE grant (ending 2008) we argued that the process of local adaptation of populations within a species range, followed by climatic changes that occur too quickly for adaptive evolution, is an underappreciated mechanism by which climate change could affect biodiversity. When this process acts, species ranges may not shift readily toward the poles, slowing the rate of species and biome change. To test this claim, we performed an experiment comparing core and peripheral populations in a series of field observations, translocation experiments, and genetic analyses. The papers in Appendix A were generated from 2005-2008 funding. In the second part of the DOE grant (ending 2011) we studied which traits promote population differentiation and local adaptation by building genomic resources for our study species and using these resources to reveal differences in gene expression in peripheral and core populations. The papers in Appendix B were generated from 2008-2011 funding. This work was pursued with two butterfly species that have contrasting life history traits (body size and resource specialization) and occupy a common ecosystem and a latitudinal range. These species enabled us to test the following hypotheses using a single phylogenetic group.

  4. Posters Radiation Impacts on Global Climate Models F. Baer, N. Arsky, and K. Rocque

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

    Posters Radiation Impacts on Global Climate Models F. Baer, N. Arsky, and K. Rocque University of Maryland College Park, Maryland Climate Prediction and Radiative Heating Climate models are driven by forcing, and these forces are seen primarily by the thermal field in general circulation models (GCMs). The major forces that affect the thermal field are longwave radiative (LWR) heating, shortwave radiative (SWR) heating, and convection (cumulus, etc.). These forcing effects are cycled through

  5. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, K.H.

    1990-05-22

    An inertial impactor is designed which is to be used in an air sampling device for collection of respirable size particles in ambient air. The device may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry. 3 figs.

  6. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, K.H.

    1987-12-10

    An inertial impactor to be used in an air sampling device for collection of respirable size particles in ambient air which may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry. 3 figs.

  7. Inertial impaction air sampling device

    DOE Patents [OSTI]

    Dewhurst, Katharine H. (13150 Wenonah SE. Apt. 727, Albuquerque, NM 87123)

    1990-01-01

    An inertial impactor to be used in an air sampling device for collection of respirable size particles in ambient air which may include a graphite furnace as the impaction substrate in a small-size, portable, direct analysis structure that gives immediate results and is totally self-contained allowing for remote and/or personal sampling. The graphite furnace collects suspended particles transported through the housing by means of the air flow system, and these particles may be analyzed for elements, quantitatively and qualitatively, by atomic absorption spectrophotometry.

  8. Depth of maximum of air-shower profiles at the Pierre Auger Observatory. I. Measurements at energies above $$10^{17.8}$$ eV

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

    Aab, Alexander

    2014-12-31

    We report a study of the distributions of the depth of maximum, Xmax, of extensive air-shower profiles with energies above 1017.8 eV as observed with the fluorescence telescopes of the Pierre Auger Observatory. The analysis method for selecting a data sample with minimal sampling bias is described in detail as well as the experimental cross-checks and systematic uncertainties. Furthermore, we discuss the detector acceptance and the resolution of the Xmax measurement and provide parametrizations thereof as a function of energy. Finally, the energy dependence of the mean and standard deviation of the Xmax distributions are compared to air-shower simulations formore » different nuclear primaries and interpreted in terms of the mean and variance of the logarithmic mass distribution at the top of the atmosphere.« less

  9. EIS-0382: Draft Environmental Impact Statement | Department of...

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

    Draft Environmental Impact Statement EIS-0382: Draft Environmental Impact Statement Mesaba Energy Project, Itasca, MN This Draft Environmental Impact Statement (EIS) provides...

  10. Focus Series -- Chicago -- Energy Impact Illinois (EI2) | Department...

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

    Series -- Chicago -- Energy Impact Illinois (EI2) Focus Series -- Chicago -- Energy Impact Illinois (EI2) Focus Series -- Chicago -- Energy Impact Illinois (EI2): A...

  11. EIS-0333: Final Environmental Impact Statement | Department of...

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

    3: Final Environmental Impact Statement EIS-0333: Final Environmental Impact Statement Bonneville Power Administration, Maiden Wind Farm This Draft Environmental Impact Statement...

  12. The Office of Minority Economic Impact (MI) was established in...

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

    Minority Economic Impact (MI) was established in Fiscal Year 1979 pursuant to Section 641 ... PART 3 - - MINORITY ECONOMIC IMPACT SEC. 641. MINORITY ECONOMIC IMPACT. "(a) Establishment ...

  13. EIS-0312: Draft Environmental Impact Statement | Department of...

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

    2: Draft Environmental Impact Statement EIS-0312: Draft Environmental Impact Statement Fish and Wildlife Implementation Plan This EIS evaluates the environmental impacts associated...

  14. EIS-0312: Final Environmental Impact Statement | Department of...

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

    Final Environmental Impact Statement EIS-0312: Final Environmental Impact Statement Fish and Wildlife Implementation Plan In this final environmental impact statement (FEIS), with...

  15. EIS-0319: Draft Environmental Impact Statement | Department of...

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

    Draft Environmental Impact Statement EIS-0319: Draft Environmental Impact Statement This EIS evaluates the potential direct, indirect, and cumulative environmental impacts...

  16. EIS-0469: Draft Environmental Impact Statement | Department of...

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

    Impact Statement EIS-0469: Draft Environmental Impact Statement Wilton IV Wind Energy Center; Burleigh County, North Dakota This EIS evaluates the environmental impacts of...

  17. EIS-0423: Draft Environmental Impact Statement | Department of...

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

    Impact Statement, DOEEIS-0423D (January 2010) More Documents & Publications EIS-0423-S1: Draft Supplemental Environmental Impact Statement EIS-0423: Final Environmental Impact...

  18. EIS-0332: Final Environmental Impact Statement | Department of...

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

    Environmental Impact Statement EIS-0332: Final Environmental Impact Statement McNary-John Day Transmission Line Project This document is the final Environmental Impact Statement...

  19. Development Impact Assessment (DIA) Case Study: South Africa

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

    ... Social impacts may include health (mortality and morbidity), poverty reduction, education, ... impacts and certain development impacts including GDP, employment, and povertywelfare. ...

  20. SU-E-T-174: Evaluation of the Optimal Intensity Modulated Radiation Therapy Plans Done On the Maximum and Average Intensity Projection CTs

    SciTech Connect (OSTI)

    Jurkovic, I; Stathakis, S; Li, Y; Patel, A; Vincent, J; Papanikolaou, N; Mavroidis, P

    2014-06-01

    Purpose: To determine the difference in coverage between plans done on average intensity projection and maximum intensity projection CT data sets for lung patients and to establish correlations between different factors influencing the coverage. Methods: For six lung cancer patients, 10 phases of equal duration through the respiratory cycle, the maximum and average intensity projections (MIP and AIP) from their 4DCT datasets were obtained. MIP and AIP datasets had three GTVs delineated (GTVaip delineated on AIP, GTVmip delineated on MIP and GTVfus delineated on each of the 10 phases and summed up). From the each GTV, planning target volumes (PTV) were then created by adding additional margins. For each of the PTVs an IMRT plan was developed on the AIP dataset. The plans were then copied to the MIP data set and were recalculated. Results: The effective depths in AIP cases were significantly smaller than in MIP (p < 0.001). The Pearson correlation coefficient of r = 0.839 indicates strong degree of positive linear relationship between the average percentage difference in effective depths and average PTV coverage on the MIP data set. The V2 0 Gy of involved lung depends on the PTV coverage. The relationship between PTVaip mean CT number difference and PTVaip coverage on MIP data set gives r = 0.830. When the plans are produced on MIP and copied to AIP, r equals ?0.756. Conclusion: The correlation between the AIP and MIP data sets indicates that the selection of the data set for developing the treatment plan affects the final outcome (cases with high average percentage difference in effective depths between AIP and MIP should be calculated on AIP). The percentage of the lung volume receiving higher dose depends on how well PTV is covered, regardless of on which set plan is done.

  1. Long Range Weather Prediction III: Miniaturized Distributed Sensors for Global Atmospheric Measurements

    SciTech Connect (OSTI)

    Teller, E; Leith, C; Canavan, G; Wood, L

    2001-11-13

    We continue consideration of ways-and-means for creating, in an evolutionary, ever-more-powerful manner, a continually-updated data-base of salient atmospheric properties sufficient for finite differenced integration-based, high-fidelity weather prediction over intervals of 2-3 weeks, leveraging the 10{sup 14} FLOPS digital computing systems now coming into existence. A constellation comprised of 10{sup 6}-10{sup 9} small atmospheric sampling systems--high-tech superpressure balloons carrying early 21st century semiconductor devices, drifting with the local winds over the meteorological spectrum of pressure-altitudes--that assays all portions of the troposphere and lower stratosphere remains the central feature of the proposed system. We suggest that these devices should be active-signaling, rather than passive-transponding, as we had previously proposed only for the ground- and aquatic-situated sensors of this system. Instead of periodic interrogation of the intra-atmospheric transponder population by a constellation of sophisticated small satellites in low Earth orbit, we now propose to retrieve information from the instrumented balloon constellation by existing satellite telephony systems, acting as cellular tower-nodes in a global cellular telephony system whose ''user-set'' is the atmospheric-sampling and surface-level monitoring constellations. We thereby leverage the huge investment in cellular (satellite) telephony and GPS technologies, with large technical and economic gains. This proposal minimizes sponsor forward commitment along its entire programmatic trajectory, and moreover may return data of weather-predictive value soon after field activities commence. We emphasize its high near-term value for making better mesoscale, relatively short-term weather predictions with computing-intensive means, and its great long-term utility in enhancing the meteorological basis for global change predictive studies. We again note that adverse impacts of weather involve continuing costs of the order of 1% of GDP, a large fraction of which could be retrieved if high-fidelity predictions of two weeks forward applicability were available. These {approx}$10{sup 2} B annual savings dwarf the <$1 B costs of operating a rational, long-range weather prediction system of the type proposed.

  2. Long Range Weather Prediction III: Miniaturized Distributed Sensors for Global Atmospheric Measurements

    DOE R&D Accomplishments [OSTI]

    Teller, E.; Leith, C.; Canavan, G.; Wood, L.

    2001-11-13

    We continue consideration of ways-and-means for creating, in an evolutionary, ever-more-powerful manner, a continually-updated data-base of salient atmospheric properties sufficient for finite differenced integration-based, high-fidelity weather prediction over intervals of 2-3 weeks, leveraging the 10{sup 14} FLOPS digital computing systems now coming into existence. A constellation comprised of 10{sup 6}-10{sup 9} small atmospheric sampling systems--high-tech superpressure balloons carrying early 21st century semiconductor devices, drifting with the local winds over the meteorological spectrum of pressure-altitudes--that assays all portions of the troposphere and lower stratosphere remains the central feature of the proposed system. We suggest that these devices should be active-signaling, rather than passive-transponding, as we had previously proposed only for the ground- and aquatic-situated sensors of this system. Instead of periodic interrogation of the intra-atmospheric transponder population by a constellation of sophisticated small satellites in low Earth orbit, we now propose to retrieve information from the instrumented balloon constellation by existing satellite telephony systems, acting as cellular tower-nodes in a global cellular telephony system whose ''user-set'' is the atmospheric-sampling and surface-level monitoring constellations. We thereby leverage the huge investment in cellular (satellite) telephony and GPS technologies, with large technical and economic gains. This proposal minimizes sponsor forward commitment along its entire programmatic trajectory, and moreover may return data of weather-predictive value soon after field activities commence. We emphasize its high near-term value for making better mesoscale, relatively short-term weather predictions with computing-intensive means, and its great long-term utility in enhancing the meteorological basis for global change predictive studies. We again note that adverse impacts of weather involve continuing costs of the order of 1% of GDP, a large fraction of which could be retrieved if high-fidelity predictions of two weeks forward applicability were available. These{approx}$10{sup 2} B annual savings dwarf the<$1 B costs of operating a rational, long-range weather prediction system of the type proposed.

  3. Elevated carbon dioxide is predicted to promote coexistence among competing species in a trait-based model

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

    Ali, Ashehad A.; Medlyn, Belinda E.; Aubier, Thomas G.; Crous, Kristine Y.; Reich, Peter B.

    2015-10-06

    Differential species responses to atmospheric CO2 concentration (Ca) could lead to quantitative changes in competition among species and community composition, with flow-on effects for ecosystem function. However, there has been little theoretical analysis of how elevated Ca (eCa) will affect plant competition, or how composition of plant communities might change. Such theoretical analysis is needed for developing testable hypotheses to frame experimental research. Here, we investigated theoretically how plant competition might change under eCa by implementing two alternative competition theories, resource use theory and resource capture theory, in a plant carbon and nitrogen cycling model. The model makes several novelmore » predictions for the impact of eCa on plant community composition. Using resource use theory, the model predicts that eCa is unlikely to change species dominance in competition, but is likely to increase coexistence among species. Using resource capture theory, the model predicts that eCa may increase community evenness. Collectively, both theories suggest that eCa will favor coexistence and hence that species diversity should increase with eCa. Our theoretical analysis leads to a novel hypothesis for the impact of eCa on plant community composition. In this study, the hypothesis has potential to help guide the design and interpretation of eCa experiments.« less

  4. Development of computer program ENMASK for prediction of residual environmental masking-noise spectra, from any three independent environmental parameters

    SciTech Connect (OSTI)

    Chang, Y.-S.; Liebich, R. E.; Chun, K. C.

    2000-03-31

    Residual environmental sound can mask intrusive4 (unwanted) sound. It is a factor that can affect noise impacts and must be considered both in noise-impact studies and in noise-mitigation designs. Models for quantitative prediction of sensation level (audibility) and psychological effects of intrusive noise require an input with 1/3 octave-band spectral resolution of environmental masking noise. However, the majority of published residual environmental masking-noise data are given with either octave-band frequency resolution or only single A-weighted decibel values. A model has been developed that enables estimation of 1/3 octave-band residual environmental masking-noise spectra and relates certain environmental parameters to A-weighted sound level. This model provides a correlation among three environmental conditions: measured residual A-weighted sound-pressure level, proximity to a major roadway, and population density. Cited field-study data were used to compute the most probable 1/3 octave-band sound-pressure spectrum corresponding to any selected one of these three inputs. In turn, such spectra can be used as an input to models for prediction of noise impacts. This paper discusses specific algorithms included in the newly developed computer program ENMASK. In addition, the relative audibility of the environmental masking-noise spectra at different A-weighted sound levels is discussed, which is determined by using the methodology of program ENAUDIBL.

  5. Fire Impacts on the Mojave Desert Ecosystem: Literature Review

    SciTech Connect (OSTI)

    Fenstermaker Lynn

    2012-01-01

    The Nevada National Security Site (NNSS) is located within the Mojave Desert, which is the driest region in North America. Precipitation on the NNSS varies from an annual average of 130 millimeters (mm; 5.1 inches) with a minimum of 47 mm (1.9 inches) and maximum of 328 mm (12.9 inches) over the past 15 year period to an annual average of 205 mm (8.1 inches) with an annual minimum of 89 mm (3.5 inches) and maximum of 391 mm (15.4 inches) for the same time period; for a Frenchman Flat location at 970 meters (m; 3182 feet) and a Pahute Mesa location at 1986 m (6516 feet), respectively. The combination of aridity and temperature extremes has resulted in sparsely vegetated basins (desert shrub plant communities) to moderately vegetated mountains (mixed coniferous forest plant communities); both plant density and precipitation increase with increasing elevation. Whereas some plant communities have evolved under fire regimes and are dependent upon fire for seed germination, plant communities within the Mojave Desert are not dependent on a fire regime and therefore are highly impacted by fire (Brown and Minnich, 1986; Brooks, 1999). As noted by Johansen (2003) natural range fires are not prevalent in the Mojave and Sonoran Deserts because there is not enough vegetation present (too many shrub interspaces) to sustain a fire. Fire research and hence publications addressing fires in the Southwestern United States (U.S.) have therefore focused on forest, shrub-steppe and grassland fires caused by both natural and anthropogenic ignition sources. In the last few decades, however, invasion of mid-elevation shrublands by non-native Bromus madritensis ssp. rubens and Bromus tectorum (Hunter, 1991) have been highly correlated with increased fire frequency (Brooks and Berry, 2006; Brooks and Matchett, 2006). Coupled with the impact of climate change, which has already been shown to be playing a role in increased forest fires (Westerling et al., 2006), it is likely that the fire frequency will further increase in the Mojave Desert (Knapp 1998; Smith et al., 1987; Smith et al., 2000).

  6. Instantaneous Leakage Evaluation of Metal Cask at Drop Impact

    SciTech Connect (OSTI)

    Hirofumi Takeda; Norihiro Kageyama; Masumi Wataru; Ryoji Sonobe; Koji Shirai; Toshiari Saegusa

    2006-07-01

    There have been a lot of tests and analyses reported for evaluation of drop tests of metal casks. However, no quantitative measurement has ever been made for any instantaneous leakage through metal gaskets during the drop tests due to loosening of the bolts in the containments and lateral sliding of the lids. In order to determine a source term for radiation exposure dose assessment, it is necessary to obtain fundamental data of instantaneous leakage. In this study, leak tests were performed by using scale models of the lid structure and a full scale cask without impact limiters simulating drop accidents in a storage facility, with aim of measuring and evaluating any instantaneous leakage at drop impact. Prior to drop tests of a full scale metal cask, a series of leakage tests using scale models were carried out to establish the measurement method and to examine a relationship between the amount of the lateral sliding of the lid and the leak rate. It was determined that the leak rate did not depend on the lateral sliding speeds. Drop tests of a full scale metal cask without impact limiters were carried out by simulating drop accidents during handling in a storage facility. The target was designed to simulate a reinforced concrete floor in the facility. The first test was a horizontal drop from a height of 1 m. The second test simulated a rotational impact around an axis of a lower trunnion of the cask from the horizontal status at a height of 1 m. In the horizontal drop test, the amount of helium gas leakage was calculated by integrating the leak rate with time. The total amount of helium gas leakage from the primary and secondary lids was 1.99 x 10{sup -6} Pa.m{sup 3}. This value is 9.61 x 10{sup -9}% of the initially installed helium gas. The amount of leakage was insignificant. In the rotational drop test, the total amount of leakage from the primary and secondary lids was 1.74 x 10{sup -5} Pa.m{sup 3}. This value is 8.45 x 10{sup -8}% of the initially installed helium gas. This value was larger than that of the horizontal drop test. Nevertheless, the amount of leakage was also insignificant. The relationship between the maximum sliding displacement of the lid and the leak rate coincided between the tests of a scale model and a full scale metal cask. (authors)

  7. Predictive Modeling of Wide-bandgap Semiconductor Processing | Argonne

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

    National Laboratory Predictive Modeling of Wide-bandgap Semiconductor Processing An Argonne team is harnessing the power of the Argonne Leadership Computing Facility and Advanced Photon Source to develop the models vital to the adoption of wide-bandgap semiconductor materials. PDF icon Nano Sheet_predictive modeling

  8. Replacement of chlorofluorocarbons at the DOE gaseous diffusion plants: An assessment of global impacts

    SciTech Connect (OSTI)

    Socolof, M.L.; McCold, L.N.; Saylor, R.E.

    1997-01-01

    Three gaseous diffusion plants (GDPs) for enriching uranium maintain a large inventory of chlorofluorocarbon-114 (CFC-114) as a coolant. To address the continued use of CFC-114, an ozone-depleting substance, the US Department of Energy (DOE) considered introducing perfluorocarbons (PFCs) by the end of 1995. These PFCs would not contribute to stratospheric ozone depletion but would be larger contributors to global warming than would CFC-114. The paper reports the results of an assessment of the global impacts of four alternatives for modifying GDP coolant system operations over a three-year period beginning in 1996. The overall contribution of GDP coolant releases to impacts on ozone depletion and global warming were quantified by parameters referred to as ozone-depletion impact and global-warming impact. The analysis showed that these parameters could be used as surrogates for predicting global impacts to all resources and could provide a framework for assessing environmental impacts of a permanent coolant replacement, eliminating the need for subsequent resource-specific analyses.

  9. Impact of individual nuclear masses on r-process abundances

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

    Mumpower, M. R.; Surman, R.; Fang, D. -L.; Beard, M.; Möller, P.; Kawano, T.; Aprahamian, A.

    2015-09-15

    We have performed for the first time a comprehensive study of the sensitivity of r-process nucleosynthesis to individual nuclear masses across the chart of nuclides. Using the latest version (2012) of the Finite-Range Droplet Model, we consider mass variations of ±0.5 MeV and propagate each mass change to all affected quantities, including Q values, reaction rates, and branching ratios. We find such mass variations can result in up to an order of magnitude local change in the final abundance pattern produced in an r-process simulation. As a result, we identify key nuclei whose masses have a substantial impact on abundancemore » predictions for hot, cold, and neutron star merger r-process scenarios and could be measured at future radioactive beam facilities.« less

  10. Carbon tax or carbon permits: The impact on generators' risks

    SciTech Connect (OSTI)

    Green, R.

    2008-07-01

    Volatile fuel prices affect both the cost and price of electricity in a liberalized market. Generators with the price-setting technology will face less risk to their profit margins than those with costs that are not correlated with price, even if those costs are not volatile. Emissions permit prices may respond to relative fuel prices, further increasing volatility. This paper simulates the impact of this on generators' profits, comparing an emissions trading scheme and a carbon tax against predictions for the UK in 2020. The carbon tax reduces the volatility faced by nuclear generators, but raises that faced by fossil fuel stations. Optimal portfolios would contain a higher proportion of nuclear plant if a carbon tax was adopted.

  11. Framework for assessing impacts of pile-driving noise from offshore wind farm construction on a harbour seal population

    SciTech Connect (OSTI)

    Thompson, Paul M.; Hastie, Gordon D.; Nedwell, Jeremy; Barham, Richard; Brookes, Kate L.; Cordes, Line S.; Bailey, Helen; McLean, Nancy

    2013-11-15

    Offshore wind farm developments may impact protected marine mammal populations, requiring appropriate assessment under the EU Habitats Directive. We describe a framework developed to assess population level impacts of disturbance from piling noise on a protected harbour seal population in the vicinity of proposed wind farm developments in NE Scotland. Spatial patterns of seal distribution and received noise levels are integrated with available data on the potential impacts of noise to predict how many individuals are displaced or experience auditory injury. Expert judgement is used to link these impacts to changes in vital rates and applied to population models that compare population changes under baseline and construction scenarios over a 25 year period. We use published data and hypothetical piling scenarios to illustrate how the assessment framework has been used to support environmental assessments, explore the sensitivity of the framework to key assumptions, and discuss its potential application to other populations of marine mammals. -- Highlights: We develop a framework to support Appropriate Assessment for harbour seal populations. We assessed potential impacts of wind farm construction noise. Data on distribution of seals and noise were used to predict effects on individuals. Expert judgement linked these impacts to vital rates to model population change. We explore the sensitivity of the framework to key assumptions and uncertainties.

  12. Predictive Optimal Control of Active and Passive Building Thermal Storage Inventory

    SciTech Connect (OSTI)

    Gregor P. Henze; Moncef Krarti

    2005-09-30

    Cooling of commercial buildings contributes significantly to the peak demand placed on an electrical utility grid. Time-of-use electricity rates encourage shifting of electrical loads to off-peak periods at night and weekends. Buildings can respond to these pricing signals by shifting cooling-related thermal loads either by precooling the building's massive structure or the use of active thermal energy storage systems such as ice storage. While these two thermal batteries have been engaged separately in the past, this project investigated the merits of harnessing both storage media concurrently in the context of predictive optimal control. To pursue the analysis, modeling, and simulation research of Phase 1, two separate simulation environments were developed. Based on the new dynamic building simulation program EnergyPlus, a utility rate module, two thermal energy storage models were added. Also, a sequential optimization approach to the cost minimization problem using direct search, gradient-based, and dynamic programming methods was incorporated. The objective function was the total utility bill including the cost of reheat and a time-of-use electricity rate either with or without demand charges. An alternative simulation environment based on TRNSYS and Matlab was developed to allow for comparison and cross-validation with EnergyPlus. The initial evaluation of the theoretical potential of the combined optimal control assumed perfect weather prediction and match between the building model and the actual building counterpart. The analysis showed that the combined utilization leads to cost savings that is significantly greater than either storage but less than the sum of the individual savings. The findings reveal that the cooling-related on-peak electrical demand of commercial buildings can be considerably reduced. A subsequent analysis of the impact of forecasting uncertainty in the required short-term weather forecasts determined that it takes only very simple short-term prediction models to realize almost all of the theoretical potential of this control strategy. Further work evaluated the impact of modeling accuracy on the model-based closed-loop predictive optimal controller to minimize utility cost. The following guidelines have been derived: For an internal heat gain dominated commercial building, reasonable geometry simplifications are acceptable without a loss of cost savings potential. In fact, zoning simplification may improve optimizer performance and save computation time. The mass of the internal structure did not show a strong effect on the optimization. Building construction characteristics were found to impact building passive thermal storage capacity. It is thus advisable to make sure the construction material is well modeled. Zone temperature setpoint profiles and TES performance are strongly affected by mismatches in internal heat gains, especially when they are underestimated. Since they are a key factor in determining the building cooling load, efforts should be made to keep the internal gain mismatch as small as possible. Efficiencies of the building energy systems affect both zone temperature setpoints and active TES operation because of the coupling of the base chiller for building precooling and the icemaking TES chiller. Relative efficiencies of the base and TES chillers will determine the balance of operation of the two chillers. The impact of mismatch in this category may be significant. Next, a parametric analysis was conducted to assess the effects of building mass, utility rate, building location and season, thermal comfort, central plant capacities, and an economizer on the cost saving performance of optimal control for active and passive building thermal storage inventory. The key findings are: (1) Heavy-mass buildings, strong-incentive time-of-use electrical utility rates, and large on-peak cooling loads will likely lead to attractive savings resulting from optimal combined thermal storage control. (2) By using economizer to take advantage of the cool fresh air during the night, the bu

  13. Modeling In-stream Tidal Energy Extraction and Its Potential Environmental Impacts

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Wang, Taiping; Copping, Andrea; Geerlofs, Simon H.

    2014-09-30

    In recent years, there has been growing interest in harnessing in-stream tidal energy in response to concerns of increasing energy demand and to mitigate climate change impacts. While many studies have been conducted to assess and map tidal energy resources, efforts for quantifying the associated potential environmental impacts have been limited. This paper presents the development of a tidal turbine module within a three-dimensional unstructured-grid coastal ocean model and its application for assessing the potential environmental impacts associated with tidal energy extraction. The model is used to investigate in-stream tidal energy extraction and associated impacts on estuarine hydrodynamic and biological processes in a tidally dominant estuary. A series of numerical experiments with varying numbers and configurations of turbines installed in an idealized estuary were carried out to assess the changes in the hydrodynamics and biological processes due to tidal energy extraction. Model results indicated that a large number of turbines are required to extract the maximum tidal energy and cause significant reduction of the volume flux. Preliminary model results also indicate that extraction of tidal energy increases vertical mixing and decreases flushing rate in a stratified estuary. The tidal turbine model was applied to simulate tidal energy extraction in Puget Sound, a large fjord-like estuary in the Pacific Northwest coast.

  14. High impact resistant ceramic composite

    DOE Patents [OSTI]

    Derkacy, James A. (Pittsburgh, PA)

    1991-07-16

    A ceramic material and a method of forming a ceramic material which possesses a high impact resistance. The material comprises: (a) a first continuous phase of .beta.-SiC; and (b) a second phase of about 25-40 vol % TiB.sub.2. Al.sub.2 O.sub.3 is preferably used as a densification aid. The material is formed by hot-pressing the mixture at a temperature from greater than about 1800.degree. C. to less than the transition temperature of .beta.-SiC to .alpha.-SiC. The hot-pressing is performed at a pressure of about 2000 psi to about 4000 psi in an inert atmosphere for several hours and results in the formation of a two phase sintered ceramic composite material.

  15. High impact resistant ceramic composite

    DOE Patents [OSTI]

    Derkacy, J.A.

    1991-07-16

    A ceramic material and a method of forming a ceramic material which possesses a high impact resistance are disclosed. The material comprises: (a) a first continuous phase of [beta]-SiC; and (b) a second phase of about 25-40 vol % TiB[sub 2]. Al[sub 2]O[sub 3] is preferably used as a densification aid. The material is formed by hot-pressing the mixture at a temperature from greater than about 1800 C to less than the transition temperature of [beta]-SiC to [alpha]-SiC. The hot-pressing is performed at a pressure of about 2000 psi to about 4000 psi in an inert atmosphere for several hours and results in the formation of a two phase sintered ceramic composite material. 6 figures.

  16. Is the ecosystem service concept improving impact assessment? Evidence from recent international practice

    SciTech Connect (OSTI)

    Rosa, Josianne Claudia Sales Sánchez, Luis E.

    2015-01-15

    Considering ecosystem services (ES) could foster innovation and improve environmental and social impact assessment (ESIA) practice, but is the potential being fulfilled? In order to investigate how ES have been treated in recent international practice, three questions are asked: (i) were the tasks of an ES analysis carried out? (ii) how is such analysis integrated with other analysis presented in the ESIA? (iii) does ES analysis result in additional or improved mitigation or enhancement measures? These research questions were unfolded into 15 auxiliary questions for reviewing five ESIA reports prepared for mining, hydroelectric and transportation infrastructure projects in Africa, Asia and South America. All cases incorporated ES into ESIA to meet a requirement of the International Finance Corporation's Performance Standards on Environmental and Social Sustainability. It was found that: (i) in only three cases most tasks recommended by current guidance were adopted (ii) all reports feature a dedicated ES chapter or section, but in three of them no evidence was found that the ES analysis was integrated within impact assessment (iii) in the two ESIAs that followed guidance, ES analysis resulted in specific mitigation measures. Few evidence was found that the ES concept is improving current ESIA practice. Key challenges are: (i) integrating ES analysis in such a way that it does not duplicate other analysis; (ii) adequately characterizing the beneficiaries of ES; and (iii) quantifying ES supply for impact prediction. - Highlights: • Incorporating ecosystem services analysis in impact assessment can improve results. • Additional impacts and mitigation were identified. • Challenges include developing appropriate indicators for impact prediction. • A key challenge is integrating the concept in such a way that it does not duplicate other analysis.

  17. Impact of HFIR LEU Conversion on Beryllium Reflector Degradation Factors

    SciTech Connect (OSTI)

    Ilas, Dan

    2013-10-01

    An assessment of the impact of low enriched uranium (LEU) conversion on the factors that may cause the degradation of the beryllium reflector is performed for the High Flux Isotope Reactor (HFIR). The computational methods, models, and tools, comparisons with previous work, along with the results obtained are documented and discussed in this report. The report documents the results for the gas and neutronic poison production, and the heating in the beryllium reflector for both the highly enriched uranium (HEU) and LEU HFIR configurations, and discusses the impact that the conversion to LEU may have on these quantities. A time-averaging procedure was developed to calculate the isotopic (gas and poisons) production in reflector. The sensitivity of this approach to different approximations is gauged and documented. The results show that the gas is produced in the beryllium reflector at a total rate of 0.304 g/cycle for the HEU configuration; this rate increases by ~12% for the LEU case. The total tritium production rate in reflector is 0.098 g/cycle for the HEU core and approximately 11% higher for the LEU core. A significant increase (up to ~25%) in the neutronic poisons production in the reflector during the operation cycles is observed for the LEU core, compared to the HEU case, for regions close to the core s horizontal midplane. The poisoning level of the reflector may increase by more than two orders of magnitude during long periods of downtime. The heating rate in the reflector is estimated to be approximately 20% lower for the LEU core than for the HEU core. The decrease is due to a significantly lower contribution of the heating produced by the gamma radiation for the LEU core. Both the isotopic (gas and neutronic poisons) production and the heating rates are spatially non-uniform throughout the beryllium reflector volume. The maximum values typically occur in the removable reflector and close to the midplane.

  18. DOE Initiates Environmental Impact Statement for Global Nuclear...

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

    Environmental Impact Statement for Global Nuclear Energy Partnership Technology Demonstrations DOE Initiates Environmental Impact Statement for Global Nuclear Energy Partnership...

  19. Poverty Social Impact Analysis | Open Energy Information

    Open Energy Info (EERE)

    Website: web.worldbank.orgWBSITEEXTERNALTOPICSEXTPSIA0,,contentMDK:2046627 Cost: Free Related Tools MIT Emissions Prediction and Policy Analysis (EPPA) Model E3MG Ventana's...

  20. EIS-0032: Final Environmental Impact Statement | Department of Energy

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

    32: Final Environmental Impact Statement EIS-0032: Final Environmental Impact Statement 500 kV International Transmission Line NSP-TR-1, Forbes, Minnesota to Manitoba, Canada, Northern States Power Company PDF icon EIS-0032: Final Environmental Impact Statement More Documents & Publications EIS-0097: Final Environmental Impact Statement EIS-0067: Final Environmental Impact Statement EIS-0129: Final Environmental Impact Statement

  1. EIS-0060: Final Environmental Impact Statement | Department of Energy

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

    0: Final Environmental Impact Statement EIS-0060: Final Environmental Impact Statement Bonneville Power Administration Proposed FY 1981 Program PDF icon EIS-0060: Final Environmental Impact Statement More Documents & Publications EIS-0005: Final Environmental Impact Statement EIS-0097: Final Environmental Impact Statement EIS-0048-S: Final Supplemental Environmental Impact Statement to FES-75-79

  2. Application of computational neural networks in predicting atmospheric pollutant concentrations due to fossil-fired electric power generation

    SciTech Connect (OSTI)

    El-Hawary, F.

    1995-12-31

    The ability to accurately predict the behavior of a dynamic system is of essential importance in monitoring and control of complex processes. In this regard recent advances in neural-net based system identification represent a significant step toward development and design of a new generation of control tools for increased system performance and reliability. The enabling functionality is the one of accurate representation of a model of a nonlinear and nonstationary dynamic system. This functionality provides valuable new opportunities including: (1) The ability to predict future system behavior on the basis of actual system observations, (2) On-line evaluation and display of system performance and design of early warning systems, and (3) Controller optimization for improved system performance. In this presentation, we discuss the issues involved in definition and design of learning control systems and their impact on power system control. Several numerical examples are provided for illustrative purpose.

  3. Information Concerning Reliability Impacts under Various System

    Energy Savers [EERE]

    Configurations of the Mirant Potomac River Plant | Department of Energy Concerning Reliability Impacts under Various System Configurations of the Mirant Potomac River Plant Information Concerning Reliability Impacts under Various System Configurations of the Mirant Potomac River Plant Docket No. EO-05-01: PJM Interconnection, L.L.C. and PEPCO Holdings, Inc. is hereby providing you with additional information concerning reliability impacts under various system conditions associated with the

  4. Researchers Model Impact of Aerosols Over California

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

    Researchers Model Impact of Aerosols Over California Researchers Model Impact of Aerosols Over California Research may clarify the effectiveness of regional pollution controls May 28, 2013 Contact: Linda Vu, lvu@lbl.gov, (510) 495-2404 LosAngelesSmogv1.jpg Smog over downtown Los Angeles. Aerosols are microscopic particles-like dust, pollen and soot-that ubiquitously float around in our atmosphere. Despite their tiny stature, these particles can have a huge impact on human health, climate and the

  5. Connecticut's Health Impact Study Rapidly Increasing Weatherization

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

    Efforts | Department of Energy Connecticut's Health Impact Study Rapidly Increasing Weatherization Efforts Connecticut's Health Impact Study Rapidly Increasing Weatherization Efforts June 18, 2014 - 10:49am Addthis Weatherization workers are trained in the house as a system approach. The Energy Department's Weatherization Assistance Program funded technical assistance as part of Connecticut's Health Impact Assessment project. | Photo courtesy of Weatherization Assistance Program Technical

  6. PRIVACY IMPACT ASSESSMENT: Visitor Dosimeter Badge Tracking

    Energy Savers [EERE]

    PRIVACY IMPACT ASSESSMENT: Visitor Dosimeter Badge Tracking PIA Template Version 3 - May, 2009 Department of Energy Privacy Impact Assessment (PIA) Guidance is provided in the template. See DOE Order 206.1, Department of Energy Privacy Program, Appendix A, Privacy Impact Assessments, for requirements and additional guidance for conducting a PIA: http://www.directives.doe.gov/pdfs/doe/doetexUneword/206/o2061.pdf Please complete electronically: no hand-written submissions will be accepted. This

  7. Analysis of Environmental Impacts | Department of Energy

    Energy Savers [EERE]

    Analysis of Environmental Impacts Analysis of Environmental Impacts Selected documents on the Analysis of Environmental Impacts under NEPA. March 12, 2012 Final Guidance on Improving the Process for Preparing Efficient and Timely Environmental Reviews Under the National Environmental Policy Act The Council on Environmental Quality is issuing its final guidance on Improving the Process for Preparing Efficient and Timely Environmental Reviews under the National Environmental Policy Act. The

  8. SimTable helps firefighters model and predict fire direction

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

    SimTable models and predicts fire path SimTable helps firefighters model and predict fire direction In 2009, SimTable received $100,000 from the LANS Venture Acceleration Fund to improve the user interface and seed firefighting academies with customized set ups. April 3, 2012 Stephen Guerin (L) and Chip Garner (R) with SimTable Stephen Guerin (L), and Chip Garner (R), with SimTable, a Santa Fe company helping firefighters model and predict where a fire is most likely to spread, received support

  9. Tool Improves Electricity Demand Predictions to Make More Room for

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

    Renewables | Department of Energy Tool Improves Electricity Demand Predictions to Make More Room for Renewables Tool Improves Electricity Demand Predictions to Make More Room for Renewables October 3, 2011 - 12:49pm Addthis This is an excerpt from the Third Quarter 2011 edition of the Wind Program R&D Newsletter. A new tool is available to help integrate wind and solar power into the electric grid by predicting the ranges in which power demand could increase or decrease in the immediate

  10. Using Maps to Predict Solar Futures | Department of Energy

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

    Using Maps to Predict Solar Futures Using Maps to Predict Solar Futures June 19, 2015 - 1:43pm Addthis Using Maps to Predict Solar Futures Dr. Lidija Sekaric Dr. Lidija Sekaric Acting Director for the SunShot Technology to Market Program When first exploring the possibility of going solar, many consumers have questions: How many panels will I need for my rooftop? What is this going to cost me? How much will I save on my electricity bills? Awardees of the Energy Department's SunShot Initiative

  11. Solid phase evolution in the Biosphere 2 hillslope experiment as predicted by modeling of hydrologic and geochemical fluxes

    SciTech Connect (OSTI)

    Dontsova, K.; Steefel, C.I.; Desilets, S.; Thompson, A.; Chorover, J.

    2009-07-15

    A reactive transport geochemical modeling study was conducted to help predict the mineral transformations occurring over a ten year time-scale that are expected to impact soil hydraulic properties in the Biosphere 2 (B2) synthetic hillslope experiment. The modeling sought to predict the rate and extent of weathering of a granular basalt (selected for hillslope construction) as a function of climatic drivers, and to assess the feedback effects of such weathering processes on the hydraulic properties of the hillslope. Flow vectors were imported from HYDRUS into a reactive transport code, CrunchFlow2007, which was then used to model mineral weathering coupled to reactive solute transport. Associated particle size evolution was translated into changes in saturated hydraulic conductivity using Rosetta software. We found that flow characteristics, including velocity and saturation, strongly influenced the predicted extent of incongruent mineral weathering and neo-phase precipitation on the hillslope. Results were also highly sensitive to specific surface areas of the soil media, consistent with surface reaction controls on dissolution. Effects of fluid flow on weathering resulted in significant differences in the prediction of soil particle size distributions, which should feedback to alter hillslope hydraulic conductivities.

  12. Job and Economic Development Impact (JEDI) Model: A User-Friendly Tool to Calculate Economic Impacts from Wind Projects

    SciTech Connect (OSTI)

    None

    2009-02-26

    Brochure on the Jobs and Economic Development Impact (JEDI) Model for calculating the economic impacts of wind development.

  13. LEDSGP/analysis/impacts | Open Energy Information

    Open Energy Info (EERE)

    impacts of LEDS measures on country development goals. These goals include reducing poverty, improving health and local environmental quality, improving energy and water access,...

  14. Articles about Environmental Impacts and Siting

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

    about Environmental Impacts and Siting en Wind Measurement Buoy Advances Offshore Wind Energy http:energy.goveerearticleswind-measurement-buoy-advances-offshore-wind-ene...

  15. Energy Efficiency Program Impact Evaluation Guide

    SciTech Connect (OSTI)

    Evaluation, Measurement, and Verification Working Group

    2012-12-20

    The key efficiency evaluation, measurement, and verification resource for novices and experts. Includes definitions, concepts, and steps for calculating savings, avoided emissions, and other impacts.

  16. Environmental Impact Statements (EIS) | Department of Energy

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

    January 15, 2015 EIS-0485: Final Environmental Impact Statement Interconnection of the Grande Prairie Wind Farm, Holt County, Nebraska January 8, 2015 EIS-0481: Draft Programmatic...

  17. EIS-0250: Draft Environmental Impact Statement

    Broader source: Energy.gov [DOE]

    Draft Environmental Impact Statement for a Geologic Repository for the Disposal of Spent Nuclear Fuel and High-Level Radioactive Waste at Yucca Mountain (July 1999)

  18. Environmental Impact Statements (EIS) | Department of Energy

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

    Wind Project March 1, 2001 EIS-0281: Draft Environmental Impact Statement Summary (Spanish) Laboratorios Nacionales de SandiaNuevo Mexico Declaracion de Impacto Ambiental de...

  19. Environmental Impact Statements (EIS) | Department of Energy

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

    EIS-0218: Final Environmental Impact Statement Proposed Nuclear Weapons Nonproliferation Policy Concerning Foreign Research Reactor Spent Nuclear Fuel January 1, 1996 EIS-0214:...

  20. Preliminary Energy Savings Impact Evaluation: Better Buildings...

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

    Energy Savings Impact Evaluation: Better Buildings Neighborhood Program, Final report Preliminary ... PDF icon Technical Report More Documents & Publications Savings and Economic ...

  1. Keeping Impact As Low As Reasonably Achievable

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

    Long-Term Environmental Stewardship and Sustainability Strategy is to keep the impact of past, present, and future operations as low as reasonably achievable. Examples of the...

  2. Environmental Impact Statements (EIS) | Department of Energy

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

    Final Environmental Impact Statement Spent Nuclear Fuel Management and Idaho National Engineering Laboratory Environmental Restoration and Waste Management Programs January 1,...

  3. EIS-0200: Waste Management Programmatic Environmental Impact...

    Office of Environmental Management (EM)

    Waste Management Programmatic Environmental Impact Statement for Managing Treatment, Storage, and Disposal of Radioactive and Hazardous Waste EIS-0200: Waste Management ...

  4. Northern Pass Transmission Line Project Environmental Impact...

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

    Northern Pass Transmission Line Project Environmental Impact Statement: Announcement of Change in Public Meeting Location: Federal Register Notice Volume 78, No. 181 - September ...

  5. Innovation Impact: Breakthrough Research Results (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2013-07-01

    The Innovation Impact brochure captures key breakthrough results across NREL's primary areas of renewable energy and energy efficiency research: solar, wind, bioenergy, transportation, buildings, analysis, and manufacturing technologies.

  6. Uncertainty quantification for evaluating impacts of caprock...

    Office of Scientific and Technical Information (OSTI)

    Uncertainty quantification for evaluating impacts of caprock and reservoir properties on pressure buildup and ground surface displacement during geological CO2 sequestration ...

  7. Clark Public Utilities Impact Evaluation Final Report

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

    Clark Public Utilities Impact Evaluation Final Report - July 2015 - Home Energy Reports Memorandum 1375 Walnut Street Suite 200 Boulder, CO 80302 303-728-2500 To: Lauren Gage...

  8. Impact Technologies LLC | Open Energy Information

    Open Energy Info (EERE)

    Technologies LLC Jump to: navigation, search Name: Impact Technologies LLC Place: Tulsa, OK Zip: 74153 Sector: Geothermal energy Product: drilling technology Phone Number:...

  9. EIS-0459: Final Programmatic Environmental Impact Statement ...

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

    More Documents & Publications EIS-0459: Draft Programmatic Environmental Impact Statement Hawai'i's Evolution: Hawai'i Powered. Technology Driven. EIS-0459: Amended Notice of ...

  10. Enabling Sustainable Geothermal Operations Through Social Impact...

    Open Energy Info (EERE)

    Sustainable Geothermal Operations Through Social Impact Assessment Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Proceedings: Enabling Sustainable...

  11. Impact Assessment Toolkit | Open Energy Information

    Open Energy Info (EERE)

    Modeling the Global Trade and Environmental Impacts of Biofuel Policies Modified Microgrid Concept for Rural Electrification in Africa NREL-How to Estimate the Economic...

  12. Articles about Environmental Impacts and Siting | Department...

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

    Articles about Environmental Impacts and Siting Wind Measurement Buoy Advances Offshore Wind Energy A next-generation buoy will provide unprecedented information on offshore wind...

  13. Finding of No Significant Impact (FONSI)

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

    1 March 2002 FINDING OF NO SIGNIFICANT IMPACT TRANSURANIC WASTE RETRIEVAL FROM THE 218-W-4B AND 218-W-4C LOW-LEVEL BURIAL GROUNDS HANFORD SITE, RICHLAND, WASHINGTON U.S. DEPARTMENT OF ENERGY March 2002 U.S. Department of Energy Finding of No Significant Impact 2 March 2002 This page intentionally left blank. U.S. Department of Energy Finding of No Significant Impact 3 March 2002 AGENCY: U.S. Department of Energy ACTION: Finding of No Significant Impact SUMMARY: The U.S. Department of Energy

  14. Preliminary Energy Savings Impact Evaluation: Better Buildings...

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

    Report Preliminary Energy Savings Impact Evaluation: Better Buildings Neighborhood Program American Recovery and Reinvestment Act of 2009 November 4, 2013 Prepared For: U.S....

  15. Connecticut's Health Impact Study Rapidly Increasing Weatherization...

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

    ... The projects will study the impact of asthma-related and fall-prevention measures on the process of delivering weatherization services. Recognizing the potential success of the ...

  16. Solar Progammatic Environmental Impact Statement, Volume 1 |...

    Open Energy Info (EERE)

    Progammatic Environmental Impact Statement, Volume 1 Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: Solar Progammatic Environmental...

  17. West Wide Programmatic Environmental Impact Statement Record...

    Open Energy Info (EERE)

    navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: West Wide Programmatic Environmental Impact Statement Record of Decision (BLM)Legal...

  18. Impact Evaluation Framework for Technology Deployment Programs...

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

    A Framework for Evaluating R&D Impacts and Supply Chain Dynamics Early in a Product Life Cycle 2014 Behavioral Assumptions Underlying California Residential Sector Energy...

  19. Impact Capital Partners Limited | Open Energy Information

    Open Energy Info (EERE)

    Capital Partners Limited Jump to: navigation, search Name: Impact Capital Partners Limited Place: Los Angeles, California Zip: CA 90067-1509 Product: Los Angeles-based, investment...

  20. EIS-0083: Final Environmental Impact Statement

    Broader source: Energy.gov [DOE]

    Final Northeast Regional Environmental Impact Statement; The Potential Conversion of Forty-Two Powerplants From Oil to Coal or Alternate Fuels