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Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Predicting the solar maximum with the rising rate  

E-Print Network (OSTI)

The growth rate of solar activity in the early phase of a solar cycle has been known to be well correlated with the subsequent amplitude (solar maximum). It provides very useful information for a new solar cycle as its variation reflects the temporal evolution of the dynamic process of solar magnetic activities from the initial phase to the peak phase of the cycle. The correlation coefficient between the solar maximum (Rmax) and the rising rate ({\\beta}a) at {\\Delta}m months after the solar minimum (Rmin) is studied and shown to increase as the cycle progresses with an inflection point (r = 0.83) at about {\\Delta}m = 20 months. The prediction error of Rmax based on {\\beta}a is found within estimation at the 90% level of confidence and the relative prediction error will be less than 20% when {\\Delta}m \\geq 20. From the above relationship, the current cycle (24) is preliminarily predicted to peak around October 2013 with a size of Rmax =84 \\pm 33 at the 90% level of confidence.

Du, Z L

2011-01-01T23:59:59.000Z

2

Meteorological Patterns Associated with Maximum 3-Hour Average Concentrations Predicted by the CRSTER Model for a Tall Stack Source  

Science Conference Proceedings (OSTI)

Regional meteorological patterns associated with maximum 3-hour average concentrations predicted by the U.S. EPA CRSTER model for emissions from a tall stack were examined for a limited sample. Causes of predicted peaks were the movements of weak ...

Paul N. Derezotes

1984-11-01T23:59:59.000Z

3

Predicting Daily Maximum Temperatures Using Linear Regression and Eta Geopotential Thickness Forecasts  

Science Conference Proceedings (OSTI)

The relationship between forecast geopotential thickness and observed maximum temperature is investigated, and regression equations are calculated using numerical model thickness forecasts for Nashville. Model thickness forecast accuracy is shown ...

Darrell R. Massie; Mark A. Rose

1997-12-01T23:59:59.000Z

4

El Nino—Southern Oscillation Impact Prediction  

Science Conference Proceedings (OSTI)

The El Nino-Southern Oscillation (ENSO) phenomenon affects the atmosphere and ocean over much of the globe. The resultant atmospheric and oceanic anomalies can produce a variety of biological and societal impacts. Three examples of impacts that ...

Neville Nicholls

1988-02-01T23:59:59.000Z

5

Impact of Aligning Climatological Day on Gridding Daily Maximum–Minimum Temperature and Precipitation over Canada  

Science Conference Proceedings (OSTI)

On 1 July 1961, the climatological day was redefined to end at 0600 UTC at all principal climate stations in Canada. Prior to that, the climatological day at principal stations ended at 1200 UTC for maximum temperature and precipitation and 0000 ...

Ron F. Hopkinson; Daniel W. McKenney; Ewa J. Milewska; Michael F. Hutchinson; Pia Papadopol; Lucie A. Vincent

2011-08-01T23:59:59.000Z

6

Force criterion prediction of damage for carbon/epoxy composite panels impacted by high velocity ice  

E-Print Network (OSTI)

H, Kedward, K. T. Modeling Hail Ice Impacts and PredictingInvestigation of High Velocity Ice Impacts on Woven Carbon/Analysis Correlation of Hail Ice Impacting Composite

Rhymer, Jennifer D.

2012-01-01T23:59:59.000Z

7

The Impact of Increasing Summer Mean Temperatures on Extreme Maximum and Minimum Temperatures in Phoenix, Arizona  

Science Conference Proceedings (OSTI)

Over the past few decades, heat-island related temperature increases in Phoenix, Arizona have been similar to the temperature increases predicted in a number of greenhouse simulation experiments. In this investigation, we use the Phoenix climate ...

Robert C. Balling Jr.; Jon A. Skindlov; Daniel H. Phillips

1990-12-01T23:59:59.000Z

8

Prediction of Summer Maximum and Minimum Temperature over the Central and Western United States: The Roles of Soil Moisture and Sea Surface Temperature  

Science Conference Proceedings (OSTI)

A statistical model based on canonical correlation analysis (CCA) was used to explore climatic associations and predictability of June–August (JJA) maximum and minimum surface air temperatures (Tmax and Tmin) as well as the frequency of Tmax ...

Eric J. Alfaro; Alexander Gershunov; Daniel Cayan

2006-04-01T23:59:59.000Z

9

CART Decision-Tree Statistical Analysis and Prediction of Summer Season Maximum Surface Ozone for the Vancouver, Montreal, and Atlantic Regions of Canada  

Science Conference Proceedings (OSTI)

Prediction of daily maximum surface ozone (O3) concentration was begun by Environment Canada in the spring of 1993 for the Vancouver, Montreal, and Atlantic regions in order to advise the public of expected air quality. Forecasts have been issued ...

William R. Burrows; Mario Benjamin; Stephen Beauchamp; Edward R. Lord; Douglas McCollor; Bruce Thomson

1995-08-01T23:59:59.000Z

10

Predicting the Impact of El Niño on Future Temperature Extremes | U.S. DOE  

Office of Science (SC) Website

Predicting the Impact of El Niño on Future Temperature Extremes Predicting the Impact of El Niño on Future Temperature Extremes Biological and Environmental Research (BER) BER Home About Research Facilities Science Highlights Searchable Archive of BER Highlights External link Benefits of BER Funding Opportunities Biological & Environmental Research Advisory Committee (BERAC) News & Resources Contact Information Biological and Environmental Research U.S. Department of Energy SC-23/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3251 F: (301) 903-5051 E: sc.ber@science.doe.gov More Information » October 2012 Predicting the Impact of El Niño on Future Temperature Extremes Accurate prediction of El Niño-Southern Oscillation is crucial for simulating extreme maximum temperature. Print Text Size: A A A

11

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

SciTech Connect

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.

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

2010-05-03T23:59:59.000Z

12

The Impact of Ice Phase Cloud Parameterizations on Tropical Cyclone Prediction  

Science Conference Proceedings (OSTI)

The impact of ice phase cloud microphysical processes on prediction of tropical cyclone environment is examined for two microphysical parameterizations using the Coupled Ocean / Atmosphere Mesoscale Prediction System –Tropical Cyclone model. An ...

Yi Jin; Shouping Wang; Jason Nachamkin; James D. Doyle; Gregory Thompson; Louis Grasso; Teddy Holt; Jon Moskaitis; Hao Jin; Richard M. Hodur; Qingyun Zhao; Ming Liu; Mark DeMaria

13

An Evaluation of the Impact of Horizontal Resolution on Tropical Cyclone Predictions using COAMPS-TC  

Science Conference Proceedings (OSTI)

A series of experiments have been conducted using the Coupled Ocean/Atmosphere Mesoscale Prediction System – Tropical Cyclone (COAMPS-TC) to assess the impact of horizontal resolution on hurricane intensity prediction for ten Atlantic storms from ...

Hao Jin; Melinda S. Peng; Yi Jin; James D. Doyle

14

The Impact of Tropical Forcing on Extratropical Predictability in a Simple Global Model  

Science Conference Proceedings (OSTI)

The impact of tropical forcing on the predictability of the extratropical atmosphere is studied. Using a two-layer spectral model, numerical experiments and diagnostic analyses have been carried out to examine the enhancement of predictability ...

Jianchun Qin; Walter A. Robinson

1995-11-01T23:59:59.000Z

15

Impact of Surface Parameter Uncertainties within the Canadian Regional Ensemble Prediction System  

Science Conference Proceedings (OSTI)

The aim of this study is to assess the impact of uncertainties in surface parameter and initial conditions on numerical prediction with the Canadian Regional Ensemble Prediction System (REPS). As part of this study, the Canadian version of the ...

Christophe Lavaysse; Marco Carrera; Stéphane Bélair; Normand Gagnon; Ronald Frenette; Martin Charron; M. K. Yau

2013-05-01T23:59:59.000Z

16

Predicting Performance Impacts due to Resolution Changes in Parallel Simulations  

Science Conference Proceedings (OSTI)

Multi-resolution models are often used to accelerate simulation-based analysis without significantly impacting the fidelity of the simulations. We have developed a web-enabled, component-based, multi-resolution modeling and Time Warp synchronized parallel ...

Dhananjai M. Rao; Philip A. Wilsey

2008-10-01T23:59:59.000Z

17

Predicting Performance Impact of DVFS for Realistic Memory Systems  

Science Conference Proceedings (OSTI)

Dynamic voltage and frequency scaling (DVFS) can make modern processors more power and energy efficient if we can accurately predict the effect of frequency scaling on processor performance. State-of-the-art DVFS performance predictors, however, fail ...

Rustam Miftakhutdinov; Eiman Ebrahimi; Yale N. Patt

2012-12-01T23:59:59.000Z

18

Impact of Initial Soil Wetness on Seasonal Atmospheric Prediction  

Science Conference Proceedings (OSTI)

This study investigates the importance of initial soil wetness in seasonal predictions with dynamical models. Two experiments are performed, each consisting of two ensembles of global climate model integrations initialized from early June ...

M. J. Fennessy; J. Shukla

1999-11-01T23:59:59.000Z

19

The Impact of Satellite Sounding Data on the Systematic Error of a Numerical Weather Prediction Model  

Science Conference Proceedings (OSTI)

The impact of satellite sounding data on the systematic errors of the numerical weather prediction model of the Israel Meteorological Service has been investigated. In general, satellite data have been shown to reduce systematic error, and in ...

Noah Wolfson; Albert Thomasell; Arnold Gruber; George Ohring

1985-06-01T23:59:59.000Z

20

Impact of Atmosphere–Ocean Coupling on the Predictability of Monsoon Intraseasonal Oscillations  

Science Conference Proceedings (OSTI)

The impact of air–sea coupling on the predictability of monsoon intraseasonal oscillations (MISO) has been investigated with an atmosphere–ocean coupled model and its atmospheric component. From a 15-yr coupled control run, 20 MISO events are ...

Xiouhua Fu; Bin Wang; Duane E. Waliser; Li Tao

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

A Spectral Stochastic Kinetic Energy Backscatter Scheme and Its Impact on Flow-Dependent Predictability in the ECMWF Ensemble Prediction System  

Science Conference Proceedings (OSTI)

Understanding model error in state-of-the-art numerical weather prediction models and representing its impact on flow-dependent predictability remains a complex and mostly unsolved problem. Here, a spectral stochastic kinetic energy backscatter ...

J. Berner; G. J. Shutts; M. Leutbecher; T. N. Palmer

2009-03-01T23:59:59.000Z

22

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

SciTech Connect

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).

Not Available

1993-07-01T23:59:59.000Z

23

Finding of no significant impact: Interim storage of enriched uranium above the maximum historical level at the Y-12 Plant Oak Ridge, Tennessee  

SciTech Connect

The US Department of Energy (DOE) has prepared an Environmental Assessment (EA) for the Proposed Interim Storage of Enriched Uranium Above the Maximum Historical Storage Level at the Y-12 Plant, Oak Ridge, Tennessee (DOE/EA-0929, September, 1994). The EA evaluates the environmental effects of transportation, prestorage processing, and interim storage of bounding quantities of enriched uranium at the Y-12 Plant over a ten-year period. The State of Tennessee and the public participated in public meetings and workshops which were held after a predecisional draft EA was released in February 1994, and after the revised pre-approval EA was issued in September 1994. Comments provided by the State and public have been carefully considered by the Department. As a result of this public process, the Department has determined that the Y-12 Plant-would store no more than 500 metric tons of highly enriched uranium (HEU) and no more than 6 metric tons of low enriched uranium (LEU). The bounding storage quantities analyzed in the pre-approval EA are 500 metric tons of HEU and 7,105.9 metric tons of LEU. Based on-the analyses in the EA, as revised by the attachment to the Finding of No Significant Impact (FONSI), DOE has determined that interim storage of 500 metric tons of HEU and 6 metric tons of LEU at the Y-12 Plant does not constitute a major Federal action significantly affecting the quality of the human environment, within the meaning of the National Environmental Policy Act (NEPA) of 1969. Therefore, an Environmental Impact Statement (EIS) is not required and the Department is issuing this FONSI.

1995-12-01T23:59:59.000Z

24

Study on wave impact force prediction of different shore connecting structure based on improved BP neural network  

Science Conference Proceedings (OSTI)

In this paper, the advanced Neural Network technology was introduced to the field of the wave impact force prediction. A three-layered BP neural network is employed and the units of input layer are wave style, wave period, incident wave height, relative ... Keywords: BP, prediction, shore connecting structure, wave impact force

Xiaoguo Zhou; Shuguang Luan

2009-09-01T23:59:59.000Z

25

Integrated Experimental and Modeling Studies to Predict the Impact Response of Explosives and Propellants  

DOE Green Energy (OSTI)

Understanding and predicting the impact response of explosives and propellants remains a challenging area in the energetic materials field. Efforts are underway at LLNL (and other laboratories) to apply modern diagnostic tools and computational analysis to move beyond the current level of imprecise approximations towards a predictive approach more closely based on fundamental understanding of the relevant mechanisms. In this paper we will discuss a set of underlying mechanisms that govern the impact response of explosives and propellants: (a) mechanical insult (impact) leading to material damage and/or direct ignition; (b) ignition leading to flame spreading; (c) combustion being driven by flame spreading, perhaps in damaged materials; (d) combustion causing further material damage; (e) combustion leading to pressure build-up or relief; (f) pressure changes driving the rates of combustion and flame spread; (g) pressure buildup leading to structural response and damage, which causes many of the physical hazards. We will briefly discuss our approach to modeling up these mechanistic steps using ALE 3D, the LLNL hydrodynamic code with fully coupled chemistry, heat flow, mass transfer, and slow mechanical motion as well as hydrodynamic processes. We will identify the necessary material properties needed for our models, and will discuss our experimental efforts to characterize these properties and the overall mechanistic steps, in order to develop and parameterize the models in ALE 3D and to develop a qualitative understanding of impact response.

Maienschein, J L; Nichols III, A L; Reaugh, J E; McClelland, M E; Hsu, P C

2005-05-25T23:59:59.000Z

26

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

DOE Green Energy (OSTI)

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?

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

1993-03-15T23:59:59.000Z

27

Measuring the Impact of Observations on the Predictability of the Kuroshio Extension in a Shallow-Water Model  

Science Conference Proceedings (OSTI)

In this paper, sequential importance sampling is used to assess the impact of observations on an ensemble prediction for the decadal path transitions of the Kuroshio Extension. This particle-filtering approach gives access to the probability ...

Werner Kramer; Henk A. Dijkstra; Stefano Pierini; Peter Jan van Leeuwen

2012-01-01T23:59:59.000Z

28

Impacts of Ocean–Atmosphere Coupling on Tropical Cyclone Intensity Change and Ocean Prediction in the Australian Region  

Science Conference Proceedings (OSTI)

This study investigates the impact of atmosphere–ocean coupling on predicted tropical cyclone (TC) intensity change and the ocean response in the Australian region. The coupled model comprises the Australian Bureau of Meteorology’s Tropical ...

P. A. Sandery; G. B. Brassington; A. Craig; T. Pugh

2010-06-01T23:59:59.000Z

29

Impact of CASA Radar and Oklahoma Mesonet Data Assimilation on the Analysis and Prediction of Tornadic Mesovortices in an MCS  

Science Conference Proceedings (OSTI)

The impact of radar and Oklahoma Mesonet data assimilation on the prediction of mesovortices in a tornadic mesoscale convective system (MCS) is examined. The radar data come from the operational Weather Surveillance Radar-1988 Doppler (WSR-88D) ...

Alexander D. Schenkman; Ming Xue; Alan Shapiro; Keith Brewster; Jidong Gao

2011-11-01T23:59:59.000Z

30

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

SciTech Connect

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.

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

2008-06-01T23:59:59.000Z

31

Turbulent Pumping of Magnetic Flux Reduces Solar Cycle Memory and thus Impacts Predictability of the Sun's Activity  

E-Print Network (OSTI)

Prediction of the Sun's magnetic activity is important because of its effect on space environmental conditions and climate. However, recent efforts to predict the amplitude of the solar cycle have resulted in diverging forecasts with no consensus. It is understood that the dynamical memory of the solar dynamo mechanism governs predictability and this memory is different for advection- and diffusion-dominated solar convection zones. By utilizing stochastically forced, kinematic dynamo simulations, we demonstrate that the inclusion of downward turbulent pumping of magnetic flux reduces the memory of both advection- and diffusion-dominated solar dynamos to only one cycle; stronger pumping degrades this memory further. We conclude that reliable predictions for the maximum of solar activity can be made only at the preceding minimum and for more accurate predictions, sequential data assimilation would be necessary in forecasting models to account for the Sun's short memory.

Karak, Bidya Binay

2012-01-01T23:59:59.000Z

32

Impact of GMS-5 and GOES-9 Satellite-Derived Winds on the Prediction of a NORPEX Extratropical Cyclone  

Science Conference Proceedings (OSTI)

The impact of satellite-derived wind observations on the prediction of a mid–Pacific Ocean cyclone during the North Pacific Experiment (NORPEX, 14 Jan–27 Feb 1998) is assessed using a four-dimensional variational (4DVAR) approach in which a ...

Qingnong Xiao; X. Zou; M. Pondeca; M. A. Shapiro; C. Velden

2002-03-01T23:59:59.000Z

33

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

SciTech Connect

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.

Maguire, J.; Burch, J.

2013-08-01T23:59:59.000Z

34

TURBULENT PUMPING OF MAGNETIC FLUX REDUCES SOLAR CYCLE MEMORY AND THUS IMPACTS PREDICTABILITY OF THE SUN'S ACTIVITY  

Science Conference Proceedings (OSTI)

Prediction of the Sun's magnetic activity is important because of its effect on space environment and climate. However, recent efforts to predict the amplitude of the solar cycle have resulted in diverging forecasts with no consensus. Yeates et al. have shown that the dynamical memory of the solar dynamo mechanism governs predictability, and this memory is different for advection- and diffusion-dominated solar convection zones. By utilizing stochastically forced, kinematic dynamo simulations, we demonstrate that the inclusion of downward turbulent pumping of magnetic flux reduces the memory of both advection- and diffusion-dominated solar dynamos to only one cycle; stronger pumping degrades this memory further. Thus, our results reconcile the diverging dynamo-model-based forecasts for the amplitude of solar cycle 24. We conclude that reliable predictions for the maximum of solar activity can be made only at the preceding minimum-allowing about five years of advance planning for space weather. For more accurate predictions, sequential data assimilation would be necessary in forecasting models to account for the Sun's short memory.

Karak, Bidya Binay [Department of Physics, Indian Institute of Science, Bangalore 560012 (India); Nandy, Dibyendu, E-mail: bidya_karak@physics.iisc.ernet.in, E-mail: dnandi@iiserkol.ac.in [Indian Institute for Science Education and Research, Kolkata, Mohampur 741252, West Bengal (India)

2012-12-10T23:59:59.000Z

35

Impact of Rotor Surface Velocity, Leakage Models and Real Gas Properties on Rotordynamic Force Predictions of Gas Labyrinth Seals  

E-Print Network (OSTI)

Rotordynamic coefficients of a gas labyrinth seal are assumed to be frequency independent. However, this assumption loses its validity as rotor surface velocity approaches Mach 1. The solution procedure of 1CV model by Childs and Scharrer which assumes frequency independent force coefficients is modified to allow for calculating frequency dependent force coefficients. A comparative study of the impact of using frequency-dependent model and the original frequency-independent model on stability analysis is made. The results indicate that frequency dependency of force coefficients should be accounted for in stability analysis as rotor surface velocity approaches a significant fraction of Mach number. The bulk flow rotordynamic analysis model by Childs and Scharrer is modified to investigate the impact of leakage-flow models on predictions. A number of leakage models are incorporated in the one-control volume model, and a comparative study is made. Kinetic energy carryover factor of a leakage equation is one of the dominant factors in seal cross-force generation. A leakage equation based on a model proposed by Gamal which uses Hodkinson?s kinetic energy carryover factor is found to improve predictions of direct damping and cross-coupled stiffness. A test case is implemented to study the impact of variation of seal axial radial clearance on stability characteristics. The 1CV model by Childs and Scharrer and subsequent bulk flow models are based on the assumption of isothermal flow across the labyrinth seal. The 1CV model by Childs and Scharrer is modified to include energy equation, and the flow process is assumed to be adiabatic. However, predicted cross-coupled stiffness and direct damping coefficients using the new model do not compare well with the experimental results by Picardo as compared to the isothermal model. The impact of using real gas properties on static and rotordynamic characteristics of the seal is studied.

Thorat, Manish R.

2010-05-01T23:59:59.000Z

36

Impact of Targeted Winter Storm Reconnaissance Dropwindsonde Data on Midlatitude Numerical Weather Predictions  

Science Conference Proceedings (OSTI)

The impact of assimilating data from the 2011 Winter Storm Reconnaissance (WSR) program on numerical weather forecasts was assessed. Parallel sets of analyses and deterministic 120-h numerical forecasts were generated using the ECMWF four-...

Thomas M. Hamill; Fanglin Yang; Carla Cardinali; Sharanya J. Majumdar

2013-06-01T23:59:59.000Z

37

Impact of Assimilating SSM/I Rainfall Rates on Numerical Prediction of Winter Cyclones  

Science Conference Proceedings (OSTI)

A series of observing system simulation experiments (OSSE) and real data assimilation experiments were conducted to assess the impact of assimilating Special Sensor Microwave/Imager (SSM/I)-estimated rainfall rates on limited-area model ...

Simon W. Chang; Teddy R. Holt

1994-01-01T23:59:59.000Z

38

Predicting and Downscaling ENSO Impacts on Intraseasonal Precipitation Statistics in California: The 1997/98 Event  

Science Conference Proceedings (OSTI)

Three long-range forecasting methods have been evaluated for prediction and downscaling of seasonal and intraseasonal precipitation statistics in California. Full-statistical, hybrid-dynamical–statistical and full-dynamical approaches have been ...

Alexander Gershunov; Tim P. Barnett; Daniel R. Cayan; Tony Tubbs; Lisa Goddard

2000-06-01T23:59:59.000Z

39

Impact of Radiosonde Balloon Drift on Numerical Weather Prediction and Verification  

Science Conference Proceedings (OSTI)

Radiosonde observations employed in real-time numerical weather prediction (NWP) applications are disseminated through the Global Telecommunication System (GTS) using alphanumeric codes. These codes do not include information about the position ...

Stéphane Laroche; Réal Sarrazin

2013-06-01T23:59:59.000Z

40

Evolving Multisensor Precipitation Estimation Methods: Their Impacts on Flow Prediction Using a Distributed Hydrologic Model  

Science Conference Proceedings (OSTI)

This study investigates evolving methodologies for radar and merged gauge–radar quantitative precipitation estimation (QPE) to determine their influence on the flow predictions of a distributed hydrologic model. These methods include the National ...

David Kitzmiller; Suzanne Van Cooten; Feng Ding; Kenneth Howard; Carrie Langston; Jian Zhang; Heather Moser; Yu Zhang; Jonathan J. Gourley; Dongsoo Kim; David Riley

2011-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

A Semiempirical Downscaling Approach for Predicting Regional Temperature Impacts Associated with Climatic Change  

Science Conference Proceedings (OSTI)

A statistical downscaling approach is developed for generating regional temperature change predictions from GCM results. The approach utilizes GCM free atmosphere output and surface observations in a framework conceptually similar to the model ...

David J. Sailor; Xiangshang Li

1999-01-01T23:59:59.000Z

42

Radiative Impact of Ozone on Temperature Predictability in a Coupled Chemistry–Dynamics Data Assimilation System  

Science Conference Proceedings (OSTI)

The objective of this study is to investigate the impact on temperature forecast of using ozone analyses for the computation of heating rates in a three-dimensional variational data assimilation (3D-Var) system with a coupled model. The system is ...

J. de Grandpré; R. Ménard; Y. J. Rochon; C. Charette; S. Chabrillat; A. Robichaud

2009-02-01T23:59:59.000Z

43

The Impact of Sea Spray Evaporation in a Numerical Weather Prediction Model  

Science Conference Proceedings (OSTI)

Strong winds above the sea lead to large amounts of spray in the lowest part of the boundary layer. Through their evaporation, spray droplets influence the exchange of sensible and latent heat between sea and air. In this study, the impact of ...

Jan F. Meirink; Vladimir K. Makin

2001-12-01T23:59:59.000Z

44

MAXIMUM HUMIDITY INDICATOR  

SciTech Connect

Moisture-sensitive systems to measure and indicate the maximum level of humidity exposure are discussed. A chemical indicator utilizing deliquescent salts and water-soluble dyes provides an irreversible color change at discrete levels of relative humidity. To provide indication of the time at which the exposure occurs, a circuit employing a resistive-type sensor was developed. A small, commercially available sensor is used in a portable probe to detect humidity leaks into controlled areas.

Abel, W B

1974-10-01T23:59:59.000Z

45

Operational Impact of QuikSCAT Winds at the NOAA Ocean Prediction Center  

Science Conference Proceedings (OSTI)

The NASA Quick Scatterometer (QuikSCAT) has revolutionized the analysis and short-term forecasting of winds over the oceans at the NOAA Ocean Prediction Center (OPC). The success of QuikSCAT in OPC operations is due to the wide 1800-km swath ...

Joan M. Von Ahn; Joseph M. Sienkiewicz; Paul S. Chang

2006-08-01T23:59:59.000Z

46

Impacts of SSM/I Retrieved Rainfall Rates on Numerical Prediction of a Tropical Cyclone  

Science Conference Proceedings (OSTI)

Special Sensor Microwave/Imager (SSM/I) retrieved rainfall rates were assimilated into a limited-area numerical prediction model in an attempt to improve the initial analysis and forecast of a tropical cyclone. Typhoon Flo of 1990, which was ...

Melinda S. Peng; Simon W. Chang

1996-06-01T23:59:59.000Z

47

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

Science Conference Proceedings (OSTI)

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 (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.

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

2010-09-06T23:59:59.000Z

48

Impact of Nighttime Shut Down on the Prediction Accuracy of Monthly Regression Models for Energy Consumption in Commercial Buildings  

E-Print Network (OSTI)

Regression models of measured energy use in buildings are widely used as baseline models to determine retrofit savings from measured energy consumption. It is less expensive to determine savings from monthly utility bills when they are available than to install hourly metering equipment. However, little is known about the impact of nighttime shut off on the accuracy of savings determined from monthly data. This paper reports a preliminary investigation of this question by comparing the heating and cooling energy use predicted by regression models based on monthly data against the predictions of calibrated hourly simulation models when applied to a medium-sized university building in Texas with (i) DDCAV system operating 24 hours per day, (ii) DDCAV system with nighttime shut down, (iii) DDVAV system operating 24 hours per day, and (iv) DDVAV system with nighttime shut down. The results of the four cases studied indicate : 1) when the AHUs are operated 24 hours/day, the annual prediction error of the cooling regression models is less than 0.5% of the annual cooling energy consumption; however, 2) when the AHUs are operated with nighttime shut down, the annual prediction error of the cooling models becomes as high as 6% of annual energy consumption. It should be noted that the cases considered here include only single end-uses of energy and have not investigated energy-use data which includes multiple end-uses. Modified regression models are therefore recommended when AHUs are not operated 24 hours per day and the temperature pattern is significantly different between pre and post retrofit years.

Wang, J.; Claridge, D. E.

1998-01-01T23:59:59.000Z

49

Maximum entropy principal for transportation  

SciTech Connect

In this work we deal with modeling of the transportation phenomenon for use in the transportation planning process and policy-impact studies. The model developed is based on the dependence concept, i.e., the notion that the probability of a trip starting at origin i is dependent on the probability of a trip ending at destination j given that the factors (such as travel time, cost, etc.) which affect travel between origin i and destination j assume some specific values. The derivation of the solution of the model employs the maximum entropy principle combining a priori multinomial distribution with a trip utility concept. This model is utilized to forecast trip distributions under a variety of policy changes and scenarios. The dependence coefficients are obtained from a regression equation where the functional form is derived based on conditional probability and perception of factors from experimental psychology. The dependence coefficients encode all the information that was previously encoded in the form of constraints. In addition, the dependence coefficients encode information that cannot be expressed in the form of constraints for practical reasons, namely, computational tractability. The equivalence between the standard formulation (i.e., objective function with constraints) and the dependence formulation (i.e., without constraints) is demonstrated. The parameters of the dependence-based trip-distribution model are estimated, and the model is also validated using commercial air travel data in the U.S. In addition, policy impact analyses (such as allowance of supersonic flights inside the U.S. and user surcharge at noise-impacted airports) on air travel are performed.

Bilich, F. [University of Brasilia (Brazil); Da Silva, R. [National Research Council (Brazil)

2008-11-06T23:59:59.000Z

50

Modeling Maximum Hail Size in Alberta Thunderstorms  

Science Conference Proceedings (OSTI)

A one-dimensional steady-state cloud model was combined with a time-dependent hail growth model to predict the maximum hailstone size on the ground. Model runs were based on 160 proximity soundings recorded within the Alberta Hail Project area ...

Julian C. Brimelow; Gerhard W. Reuter; Eugene R. Poolman

2002-10-01T23:59:59.000Z

51

A Study of Impacts of Coupled Model Initial Shocks and State–Parameter Optimization on Climate Predictions Using a Simple Pycnocline Prediction Model  

Science Conference Proceedings (OSTI)

A skillful decadal prediction that foretells varying regional climate conditions over seasonal–interannual to multidecadal time scales is of societal significance. However, predictions initialized from the climate-observing system tend to drift ...

S. Zhang

2011-12-01T23:59:59.000Z

52

Impact of 3DVAR assimilation of Doppler Weather Radar wind data and IMD observation for the prediction of a tropical cyclone  

Science Conference Proceedings (OSTI)

This study aims to investigate the impact of the Three-Dimensional Variational (3DVAR) assimilation of Doppler Weather Radar (DWR) wind data together with the India Meteorological Department (IMD) upper air and surface data for the prediction of a tropical ...

M. Govindankutty; A. Chandrasekar; Devendra Pradhan

2010-07-01T23:59:59.000Z

53

Impact of Enthalpy-Based Ensemble Filtering Sea Ice Data Assimilation on Decadal Predictions: Simulation with a Conceptual Pycnocline Prediction Model  

Science Conference Proceedings (OSTI)

The non-Gaussian probability distribution of sea ice concentration makes it difficult to directly assimilate sea ice observations into a climate model. Because of the strong impact of the atmospheric and oceanic forcing on the sea ice state, any ...

S. Zhang; M. Winton; A. Rosati; T. Delworth; B. Huang

2013-04-01T23:59:59.000Z

54

MaximumLetThrough.PDF  

NLE Websites -- All DOE Office Websites (Extended Search)

9 9 Maximum Let-Through Currents in the APS Storage Ring Quadrupole, Sextupole, and Corrector Magnets J. Carwardine, D. McGhee, G. Markovich May 18, 1999 Abstract Limits are described for the maximum magnet currents, under specified fault conditions, for the storage ring quadrupole, sextupole, and corrector magnets. Introduction In computing the maximum let-through current for the magnets for the storage ring, several factors must be considered. In general, the maximum current likely to occur even under fault conditions is less than the maximum theoretical DC current given the magnet resistance and the maximum available DC voltage. The first level of protection against magnet current overloads is the over-current interlock that is built into the converter electronics package. The threshold is set to approximately 110% of

55

Removal to Maximum Extent Practical  

Energy.gov (U.S. Department of Energy (DOE))

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

56

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

SciTech Connect

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.

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

2010-09-06T23:59:59.000Z

57

The Maximum Intensity of Hurricanes  

Science Conference Proceedings (OSTI)

An exact equation governing the maximum possible pressure fall in steady tropical cyclones is developed, accounting for the full effects of gaseous and condensed water on density and thermodynamics. The equation is also derived from Carnot's ...

Kerry A. Emanuel

1988-04-01T23:59:59.000Z

58

Hardness of Maximum Constraint Satisfaction.  

E-Print Network (OSTI)

??We show optimal (up to a constant factor) NP-hardness for maximum constraint satisfaction problem with k variables per constraint (Max-k-CSP), whenever k is larger than… (more)

Chan, Siu On

2013-01-01T23:59:59.000Z

59

Users guide: simulation model for ammunition plants; prediction of wastewater characteristics and impact of reuse/recycle. Final report  

Science Conference Proceedings (OSTI)

This report describes the algorithm and details the operating instructions required for an ammunition plant process model developed for DARCOM environmental personnel. The model was created to define the impact of increased ammunition production on the quantity and quality of the effluents discharged from the plants. It also allows assessment of the impact of recycle/reuse of wastewaters on final effluent quality. This model may be accessed through the Environmental Technical Information System.

Railsback, S.; Messenger, M.; Webster, R.D.; Bandy, J.T.

1983-06-01T23:59:59.000Z

60

An Operational System for Generating Cloud Drift Winds in the Australian Region and Their Impact on Numerical Weather Prediction  

Science Conference Proceedings (OSTI)

The Australian Bureau of Meteorology has, since June 1992, produced cloud drift wind data for operational use. These data are used in the analysis cycle of the local operational numerical weather prediction system. This paper describes the ...

John Le Marshall; Neil Pescod; Bob Seaman; Graham Mills; Paul Stewart

1994-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Impact of emissions, chemistry, and climate on atmospheric carbon monoxide : 100-year predictions from a global chemistry-climate model  

E-Print Network (OSTI)

The possible trends for atmospheric carbon monoxide in the next 100 yr have been illustrated using a coupled atmospheric chemistry and climate model driven by emissions predicted by a global economic development model. ...

Wang, Chien.; Prinn, Ronald G.

62

The Impact of Horizontal Resolution and Ensemble Size on Probabilistic Forecasts of Precipitation by the ECMWF Ensemble Prediction System  

Science Conference Proceedings (OSTI)

The effect of horizontal resolution and ensemble size on the ECMWF Ensemble Prediction System (EPS) is assessed for probabilistic forecasts of 24-h accumulated precipitation. Two sets of experiments are analyzed. The primary experiment compares ...

Steven L. Mullen; Roberto Buizza

2002-04-01T23:59:59.000Z

63

Sensitivity of Convective Initiation Prediction to Near-Surface Moisture When Assimilating Radar Refractivity: Impact Tests Using OSSEs  

Science Conference Proceedings (OSTI)

The Advanced Regional Prediction System (ARPS) three-dimensional variational (3DVAR) system is enhanced to include the analysis of radar-derived refractivity measurements. These refractivity data are most sensitive to atmospheric moisture content ...

Nicholas A. Gasperoni; Ming Xue; Robert D. Palmer; Jidong Gao

2013-10-01T23:59:59.000Z

64

Extreme Maximum Land Surface Temperatures  

Science Conference Proceedings (OSTI)

There are numerous reports in the literature of observations of land surface temperatures. Some of these, almost all made in situ, reveal maximum values in the 50°–70°C range, with a few, made in desert regions, near 80°C. Consideration of a ...

J. R. Garratt

1992-09-01T23:59:59.000Z

65

Maximum order of planar digraphs  

Science Conference Proceedings (OSTI)

We consider the degree/diameter problem for directed planar graphs. We show that planar digraphs with diameter 2 and maximum out-degree and in-degree d, d ? 41, cannot have more than 2d vertices. We show that 2d ...

Rinovia Simanjuntak; Mirka Miller

2003-09-01T23:59:59.000Z

66

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

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.

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

2010-02-24T23:59:59.000Z

67

Towards a frequency-dependent discrete maximum principle for the implicit Monte Carlo equations  

SciTech Connect

It has long been known that temperature solutions of the Implicit Monte Carlo (IMC) equations can exceed the external boundary temperatures, a so-called violation of the 'maximum principle.' Previous attempts at prescribing a maximum value of the time-step size {Delta}{sub t} that is sufficient to eliminate these violations have recommended a {Delta}{sub t} that is typically too small to be used in practice and that appeared to be much too conservative when compared to numerical solutions of the IMC equations for practical problems. In this paper, we derive a new estimator for the maximum time-step size that includes the spatial-grid size {Delta}{sub x}. This explicitly demonstrates that the effect of coarsening {Delta}{sub x} is to reduce the limitation on {Delta}{sub t}, which helps explain the overly conservative nature of the earlier, grid-independent results. We demonstrate that our new time-step restriction is a much more accurate means of predicting violations of the maximum principle. We discuss how the implications of the new, grid-dependent timestep restriction can impact IMC solution algorithms.

Wollaber, Allan B [Los Alamos National Laboratory; Larsen, Edward W [Los Alamos National Laboratory; Densmore, Jeffery D [Los Alamos National Laboratory

2010-12-15T23:59:59.000Z

68

3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part I: Cloud Analysis and Its Impact  

Science Conference Proceedings (OSTI)

In this two-part paper, the impact of level-II Weather Surveillance Radar-1988 Doppler (WSR-88D) reflectivity and radial velocity data on the prediction of a cluster of tornadic thunderstorms in the Advanced Regional Prediction System (ARPS) ...

Ming Hu; Ming Xue; Keith Brewster

2006-02-01T23:59:59.000Z

69

3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part II: Impact of Radial Velocity Analysis via 3DVAR  

Science Conference Proceedings (OSTI)

In this two-part paper, the impact of level-II Weather Surveillance Radar-1988 Doppler (WSR-88D) radar reflectivity and radial velocity data on the prediction of a cluster of tornadic thunderstorms in the Advanced Regional Prediction System (ARPS)...

Ming Hu; Ming Xue; Jidong Gao; Keith Brewster

2006-02-01T23:59:59.000Z

70

Maximum Building Energy Efficiency Research Laboratory secures...  

NLE Websites -- All DOE Office Websites (Extended Search)

Design Network - Maximum Building Energy Efficiency Research Laboratory secures LEED Gold July 01, 2013 The recently completed 14.3m Maximum Building Energy Efficiency...

71

Use of a predictive model for the impact of cofiring coal/biomass blends on slagging and fouling propensity  

Science Conference Proceedings (OSTI)

The paper describes an investigation of slagging and fouling effects when cofiring coal/biomass blends by using a predictive model for large utility boilers. This model is based on the use a zone computational method to determine the midsection temperature profile throughout a boiler, coupled with a thermo-chemical model, to define and assess the risk of elevated slagging and fouling levels during cofiring of solid fuels. The application of this prediction tool was made for a 618 MW thermal wall-fired pulverized coal boiler, cofired with a typical medium volatile bituminous coal and two substitute fuels, sewage sludge and sawdust. Associated changes in boiler efficiency as well as various heat transfer and thermodynamic parameters of the system were analyzed with slagging and fouling effects for different cofiring ratios. The results of the modeling revealed that, for increased cofiring of sewage sludge, an elevated risk of slagging and high-temperature fouling occurred, in complete contrast to the effects occurring with the utilization of sawdust as a substitute fuel. 30 refs., 9 figs.,1 tab.

Piotr Plaza; Anthony J. Griffiths; Nick Syred; Thomas Rees-Gralton [Cardiff University, Cardiff (United Kingdom). Centre for Research in Energy

2009-07-15T23:59:59.000Z

72

Higgs boson discovery versus sparticles prediction: Impact on the pMSSM's posterior samples from a Bayesian global fit  

E-Print Network (OSTI)

The signal strength of the recently discovered Higgs boson-like particle in the diphoton channel seemingly constrains physics beyond the standard model to a severe degree. However, the reported signal strength is prone to possible underestimation of uncertainties. We propose a discriminant that is relatively free of many of the theoretical uncertainties, and use this to gauge the impact on the phenomenological MSSM. A Bayesian global fit to all the pre-LHC data results in posterior distributions for the masses that are neither very restrictive, nor sufficiently prior-independent (except for the Higgs and stop masses). The imposition of the Higgs data, on the other hand, yields interesting and nearly prior-independent constraints. In particular, the existence of some light superpartners is favoured.

Shehu S. AbdusSalam; Debajyoti Choudhury

2012-10-11T23:59:59.000Z

73

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

SciTech Connect

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.

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

2010-06-25T23:59:59.000Z

74

Potential Impact of Adopting Maximum Technologies as Minimum...  

NLE Websites -- All DOE Office Websites (Extended Search)

residential sector (50% of the electricity consumption and 80% of the natural gas and LPG consumption). This paper uses this BUENAS methodology to calculate that energy savings...

75

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

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.

Egbert Schwartz

2008-12-15T23:59:59.000Z

76

Maximum Urban Heat Island Intensity in Seoul  

Science Conference Proceedings (OSTI)

The maximum urban heat island (UHI) intensity in Seoul, Korea, is investigated using data measured at two meteorological observatories (an urban site and a rural site) during the period of 1973–96. The average maximum UHI is weakest in summer and ...

Yeon-Hee Kim; Jong-Jin Baik

2002-06-01T23:59:59.000Z

77

The Use of Polar-orbiting Satellite Sounding Data to Estimate Rural Maximum and Minimum Temperatures  

Science Conference Proceedings (OSTI)

Atmospheric sounding products from NOAA's polar-orbiting satellites were used to derive and test predictive equations of rural shelter-level maximum and minimum temperatures. Sounding data from both winter and summer months were combined with ...

Gregory L. Johnson; Jerry M. Davis; Thomas R. Karl; Alan L. McNab; J. Dan Tarpley; Peter Bloomfield

1993-05-01T23:59:59.000Z

78

The Maximum Potential Intensity of Tropical Cyclones  

Science Conference Proceedings (OSTI)

A thermodynamic approach to estimating maximum potential intensity (MPI) of tropical cyclones is described and compared with observations and previous studies. The approach requires an atmospheric temperature sounding, SST, and surface pressure; ...

Greg J. Holland

1997-11-01T23:59:59.000Z

79

Maximum Likelihood Ensemble Filter: Theoretical Aspects  

Science Conference Proceedings (OSTI)

A new ensemble-based data assimilation method, named the maximum likelihood ensemble filter (MLEF), is presented. The analysis solution maximizes the likelihood of the posterior probability distribution, obtained by minimization of a cost ...

Milija Zupanski

2005-06-01T23:59:59.000Z

80

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

DOE Green Energy (OSTI)

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.

S.P. Rupp

2005-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Maximum Entropy Production in Climate Theory  

Science Conference Proceedings (OSTI)

R. D. Lorenz et al. claim that recent data on Mars and Titan show that planetary atmospheres are in unconstrained states of maximum entropy production (MEP). Their model as it applies to Venus, Earth, Mars, and Titan is reexamined, and it is ...

Richard Goody

2007-07-01T23:59:59.000Z

82

Integrating Correlated Bayesian Networks Using Maximum Entropy  

Science Conference Proceedings (OSTI)

We consider the problem of generating a joint distribution for a pair of Bayesian networks that preserves the multivariate marginal distribution of each network and satisfies prescribed correlation between pairs of nodes taken from both networks. We derive the maximum entropy distribution for any pair of multivariate random vectors and prescribed correlations and demonstrate numerical results for an example integration of Bayesian networks.

Jarman, Kenneth D.; Whitney, Paul D.

2011-08-30T23:59:59.000Z

83

Mildly Context Sensitive Grammars For Estimating Maximum  

E-Print Network (OSTI)

Introduction The maximum-entropy framework provides great flexibility in specifying what features a model may take into account, making it e#ective for a wide range of natural language processing tasks. But because parameter estimation in this framework involves computations over the whole space of possible labelings, it is unwieldy for the parsing problem, where this space is very large. Researchers have tried several strategies for e#ciently training parsing models in the maximum-entropy framework. Ratnaparkhi's parser (1997) models the probabilities of actions of a pushdown automaton instead of the probabilities of entire parses, but for this reason is susceptible to the label-bias problem (La#erty et al. 2001). Abney (1997) proposes random sampling of the parse space. Johnson et al. (1999) propose using conditional estimation instead of joint estimation. This reduces the space to the possible parses of a single sentence, which is much smaller but can still be unmanageably large f

David Chiang

2003-01-01T23:59:59.000Z

84

Discontinuities in the Maximum-Entropy Inference  

E-Print Network (OSTI)

We revisit the maximum-entropy inference of the state of a finite-level quantum system under linear constraints. The constraints are specified by the expected values of a set of fixed observables. We point out the existence of discontinuities in this inference method. This is a pure quantum phenomenon since the maximum-entropy inference is continuous for mutually commuting observables. The question arises why some sets of observables are distinguished by a discontinuity in an inference method which is still discussed as a universal inference method. In this paper we make an example of a discontinuity and we explain a characterization of the discontinuities in terms of the openness of the (restricted) linear map that assigns expected values to states.

Stephan Weis

2013-08-28T23:59:59.000Z

85

Application of a multi-block CFD code to investigate the impact of geometry modeling on centrifugal compressor flow field predictions  

Science Conference Proceedings (OSTI)

CFD codes capable of utilizing multi-block grids provide the capability to analyze the complete geometry of centrifugal compressors. Attendant with this increased capability is potentially increased grid setup time and more computational overhead with the resultant increase in wall clock time to obtain a solution. If the increase in difficulty of obtaining a solution significantly improves the solution from that obtained by modeling the features of the tip clearance flow or the typical bluntness of a centrifugal compressor`s trailing edge, then the additional burden is worthwhile. However, if the additional information obtained is of marginal use, then modeling of certain features of the geometry may provide reasonable solutions for designers to make comparative choices when pursuing a new design. In this spirit a sequence of grids were generated to study the relative importance of modeling versus detailed gridding of the tip gap and blunt trailing edge regions of the NASA large low-speed centrifugal compressor for which there is considerable detailed internal laser anemometry data available for comparison. The results indicate: (1) There is no significant difference in predicted tip clearance mass flow rate whether the tip gap is gridded or modeled. (2) Gridding rather than modeling the trailing edge results in better predictions of some flow details downstream of the impeller, but otherwise appears to offer no great benefits. (3) The pitchwise variation of absolute flow angle decreases rapidly up to 8% impeller radius ratio and much more slowly thereafter. Although some improvements in prediction of flow field details are realized as a result of analyzing the actual geometry there is no clear consensus that any of the grids investigated produced superior results in every case when compared to the measurements. However, if a multi-block code is available, it should be used, as it has the propensity for enabling better predictions than a single block code.

Hathaway, M.D. [Vehicle Technology Center, Cleveland, OH (United States); Wood, J.R. [NASA Lewis Research Center, Cleveland, OH (United States)

1997-10-01T23:59:59.000Z

86

Maximum Spectral Luminous Efficacy of White Light  

E-Print Network (OSTI)

As lighting efficiency improves, it is useful to understand the theoretical limits to luminous efficacy for light that we perceive as white. Independent of the efficiency with which photons are generated, there exists a spectrally-imposed limit to the luminous efficacy of any source of photons. We find that, depending on the acceptable bandpass and---to a lesser extent---the color temperature of the light, the ideal white light source achieves a spectral luminous efficacy of 250--370 lm/W. This is consistent with previous calculations, but here we explore the maximum luminous efficacy as a function of photopic sensitivity threshold, color temperature, and color rendering index; deriving peak performance as a function of all three parameters. We also present example experimental spectra from a variety of light sources, quantifying the intrinsic efficacy of their spectral distributions.

Murphy, T W

2013-01-01T23:59:59.000Z

87

Decadal Prediction  

Science Conference Proceedings (OSTI)

A new field of study, “decadal prediction,” is emerging in climate science. Decadal prediction lies between seasonal/interannual forecasting and longer-term climate change projections, and focuses on time-evolving regional climate conditions over ...

Gerald A. Meehl; Lisa Goddard; James Murphy; Ronald J. Stouffer; George Boer; Gokhan Danabasoglu; Keith Dixon; Marco A. Giorgetta; Arthur M. Greene; Ed Hawkins; Gabriele Hegerl; David Karoly; Noel Keenlyside; Masahide Kimoto; Ben Kirtman; Antonio Navarra; Roger Pulwarty; Doug Smith; Detlef Stammer; Timothy Stockdale

2009-10-01T23:59:59.000Z

88

Maximum Error Modeling for Fault-Tolerant Computation using Maximum a posteriori (MAP) Hypothesis  

E-Print Network (OSTI)

The application of current generation computing machines in safety-centric applications like implantable biomedical chips and automobile safety has immensely increased the need for reviewing the worst-case error behavior of computing devices for fault-tolerant computation. In this work, we propose an exact probabilistic error model that can compute the maximum error over all possible input space in a circuit specific manner and can handle various types of structural dependencies in the circuit. We also provide the worst-case input vector, which has the highest probability to generate an erroneous output, for any given logic circuit. We also present a study of circuit-specific error bounds for fault-tolerant computation in heterogeneous circuits using the maximum error computed for each circuit. We model the error estimation problem as a maximum a posteriori (MAP) estimate, over the joint error probability function of the entire circuit, calculated efficiently through an intelligent search of the entire input space using probabilistic traversal of a binary join tree using Shenoy-Shafer algorithm. We demonstrate this model using MCNC and ISCAS benchmark circuits and validate it using an equivalent HSpice model. Both results yield the same worst-case input vectors and the highest % difference of our error model over HSpice is just 1.23%. We observe that the maximum error probabilities are significantly larger than the average error probabilities, and provides a much tighter error bounds for fault-tolerant computation. We also find that the error estimates depend on the specific circuit structure and the maximum error probabilities are sensitive to the individual gate failure probabilities.

Karthikeyan Lingasubramanian; Syed M. Alam; Sanjukta Bhanja

2009-06-17T23:59:59.000Z

89

Seasonal-to-Decadal Predictability and Prediction of North American Climate—The Atlantic Influence  

Science Conference Proceedings (OSTI)

The question of the impact of the Atlantic on North American (NA) seasonal prediction skill and predictability is examined. Basic material is collected from the literature, a review of seasonal forecast procedures in Canada and the United States, ...

H. M. Van den Dool; Peitao Peng; Åke Johansson; Muthuvel Chelliah; Amir Shabbar; Suranjana Saha

2006-12-01T23:59:59.000Z

90

Predicting Maximum Tree Heights and Other Traits from Allometric Scaling and Resource Limitations  

E-Print Network (OSTI)

Terrestrial vegetation plays a central role in regulating the carbon and water cycles, and adjusting planetary albedo. As such, a clear understanding and accurate characterization of vegetation dynamics is critical to ...

Kempes, Chris Poling

91

Applying synchrotron phase measurement to the estimation of maximum beam intensity in the Fermilab Booster  

SciTech Connect

It is important to have experimental methods to estimate the maximum beam intensity for the Fermilab Booster as objective input into long term program commitments. An important existing limit is set by the available rf power. This limit is difficult to set a priori, because the real longitudinal impedance is not well known. The synchrotron phase at transition crossing was measured using both the mountain range plot and the direct phase measurement of the RF accelerating voltage relative to the beam, and results were consistent. They were applied to predict 6 x 10{sup 12} maximum Booster beam intensity with present running conditions.

Xi Yang; James MacLachlan

2004-03-16T23:59:59.000Z

92

PREDICTIVE MODELS  

Science Conference Proceedings (OSTI)

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding; 2) carbon dioxide miscible flooding; 3) in-situ combustion; 4) polymer flooding; and 5) steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.

Ray, R.M. (DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States))

1988-10-01T23:59:59.000Z

93

Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed  

NLE Websites -- All DOE Office Websites (Extended Search)

0: February 6, 0: February 6, 2006 Maximum Speed Limits by State, 2005 to someone by E-mail Share Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Facebook Tweet about Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Twitter Bookmark Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Google Bookmark Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Delicious Rank Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on Digg Find More places to share Vehicle Technologies Office: Fact #410: February 6, 2006 Maximum Speed Limits by State, 2005 on AddThis.com...

94

Predictive rendering  

Science Conference Proceedings (OSTI)

This course intends to serve two closely related purposes: to provide an accurate definition of the term "predictive rendering" and to present the technological foundations for research in this area. The first goal of the course (a clear definition of ...

Alexander Wilkie; Andrea Weidlich; Marcus Magnor; Alan Chalmers

2009-12-01T23:59:59.000Z

95

PREDICTIVE MODELS  

SciTech Connect

PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2) carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3) in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4) polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5) steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.

Ray, R.M. (DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States))

1986-12-01T23:59:59.000Z

96

The Effects of Data Gaps on the Calculated Monthly Mean Maximum and Minimum Temperatures in the Continental United States: A Spatial and Temporal Study  

Science Conference Proceedings (OSTI)

Gaps in otherwise regularly scheduled observations are often referred to as missing data. This paper explores the spatial and temporal impacts that data gaps in the recorded daily maximum and minimum temperatures have on the calculated monthly ...

David E. Stooksbury; Craig D. Idso; Kenneth G. Hubbard

1999-05-01T23:59:59.000Z

97

Fast Local Search for the Maximum Independent Set Problem  

E-Print Network (OSTI)

Jan 29, 2008 ... Fast Local Search for the Maximum Independent Set Problem. Diogo V. Andrade (diogo ***at*** google.com) Mauricio G. C. Resende (mgcr ...

98

THE MAXIMUM k-COLORABLE SUBGRAPH PROBLEM AND ...  

E-Print Network (OSTI)

The main goal of this paper is to investigate the polyhedral con- .... The resulting graph with a maximum (black,white,crossed)-colorable ...... Due to the ad-.

99

Estimate of Maximum Underground Working Gas Storage Capacity in ...  

U.S. Energy Information Administration (EIA)

Estimate of Maximum Underground Working Gas Storage Capacity in the United States: 2007 Update This report provides an update to an estimate for U.S. aggregate ...

100

Environmental Impact  

U.S. Energy Information Administration (EIA)

Environmental Impact - a single comprehensive bibliographic information resource on climate change & other impacts of humans on the biosphere.

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Maximum a posteriori based kernel classifier trained by linear programming  

Science Conference Proceedings (OSTI)

We propose a new approach for classification problem based on the maximum a posteriori (MAP) estimation. The necessary and sufficient condition for the cost function to estimate a posteriori probability was obtained. It was clarified by the condition ... Keywords: cost function, kernel function, linear programming, maximum a posteriori

Nopriadi Nopriadi; Yukihiko Yamashita

2010-08-01T23:59:59.000Z

102

Estimating Maximum Surface Winds from Hurricane Reconnaissance Measurements  

Science Conference Proceedings (OSTI)

Radial profiles of surface winds measured by the Stepped Frequency Microwave Radiometer (SFMR) are compared to radial profiles of flight-level winds to determine the slant ratio of the maximum surface wind speed to the maximum flight-level wind ...

Mark D. Powell; Eric W. Uhlhorn; Jeffrey D. Kepert

2009-06-01T23:59:59.000Z

103

Maximum likelihood estimation of Gaussian mixture models using stochastic search  

Science Conference Proceedings (OSTI)

Gaussian mixture models (GMM), commonly used in pattern recognition and machine learning, provide a flexible probabilistic model for the data. The conventional expectation-maximization (EM) algorithm for the maximum likelihood estimation of the parameters ... Keywords: Covariance parametrization, Expectation-maximization, Gaussian mixture models, Identifiability, Maximum likelihood estimation, Particle swarm optimization, Stochastic search

Ça?lar Ar?; Selim Aksoy; Orhan Ar?kan

2012-07-01T23:59:59.000Z

104

CONSTRAINED MINIMUM ENTROPY AND MAXIMUM NEGENTROPY BLIND DECONVOLUTION AND EQUALIZATION  

E-Print Network (OSTI)

CONSTRAINED MINIMUM ENTROPY AND MAXIMUM NEGENTROPY BLIND DECONVOLUTION AND EQUALIZATION Seungjin on the variance of decon­ volved signal. We also consider the maximum negen­ tropy principle and show that the CME version, without any prior knowledge (such as channel impulse response, training data). As the demand

Choi, Seungjin

105

Maximum oxidative phosphorylation capacity of the mammalian heart  

E-Print Network (OSTI)

Maximum oxidative phosphorylation capacity of the mammalian heart VAMSI K. MOOTHA, ANDREW E. ARAI, AND ROBERT S. BALABAN Laboratory of Cardiac Energetics, National Heart, Lung, and Blood Institute, National. Maximum oxidative phosphorylation capacity of the mammalian heart. Am. J. Physiol. 272 (Heart Circ

Mootha, Vamsi K.

106

Toward a Policy for Climate Impacts  

Science Conference Proceedings (OSTI)

Current increases in the understanding of climatic processes, the availability of climate predictions, and the assessment of climatic impacts indicate that development of public policy to mitigate adverse impacts and enhance beneficial ones is ...

Peter J. Robinson; Howard L. Hill

1987-07-01T23:59:59.000Z

107

Kuiper Belt Occultation Predictions  

E-Print Network (OSTI)

Here we present observations of 7 large Kuiper Belt Objects. From these observations, we extract a point source catalog with $\\sim0.01"$ precision, and astrometry of our target Kuiper Belt Objects with $0.04-0.08"$ precision within that catalog. We have developed a new technique to predict the future occurrence of stellar occultations by Kuiper Belt Objects. The technique makes use of a maximum likelihood approach which determines the best-fit adjustment to cataloged orbital elements of an object. Using simulations of a theoretical object, we discuss the merits and weaknesses of this technique compared to the commonly adopted ephemeris offset approach. We demonstrate that both methods suffer from separate weaknesses, and thus, together provide a fair assessment of the true uncertainty in a particular prediction. We present occultation predictions made by both methods for the 7 tracked objects, with dates as late as 2015. Finally, we discuss observations of three separate close passages of Quaoar to field star...

Fraser, Wesley C; Trujillo, Chad; Stephens, Andrew W; Kavelaars, JJ; Brown, Michael E; Bianco, Federica B; Boyle, Richard P; Brucker, Melissa J; Hetherington, Nathan; Joner, Michael; Keel, William C; Langill, Phil P; Lister, Tim; McMillan, Russet J; Young, Leslie

2013-01-01T23:59:59.000Z

108

LANDFILL OPERATION FOR CARBON SEQUESTRATION AND MAXIMUM METHANE EMISSION CONTROL  

Science Conference Proceedings (OSTI)

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.

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

2000-02-26T23:59:59.000Z

109

Radiative Impacts on the Growth of Drops within Simulated Marine Stratocumulus. Part I: Maximum Solar Heating  

Science Conference Proceedings (OSTI)

The effects of solar heating and infrared cooling on the vapor depositional growth of cloud drops, and hence the potential for collection enhancement, is investigated. Large eddy simulation (LES) of marine stratocumulus is used to generate 600 ...

Christopher M. Hartman; Jerry Y. Harrington

2005-07-01T23:59:59.000Z

110

On Climate Prediction in the Tropics  

Science Conference Proceedings (OSTI)

Climatic disasters are common in many tropical regions, and rainfall anomalies in particular have a severe human impact. Accordingly, both the World Climate Programme and the U.S. National Climate Program have identified climate prediction as a ...

Stefan Hastenrath

1986-06-01T23:59:59.000Z

111

Trends of Maximum and Minimum Temperatures in Northern South America  

Science Conference Proceedings (OSTI)

This paper presents the results of testing the homogeneity of the basic data used in this study, that is, the mean monthly maximum and minimum temperature (as derived from daily observations) of several long-term climatological stations of ...

Ramon A. Quintana-Gomez

1999-07-01T23:59:59.000Z

112

A maximum likelihood approach towards aggregating partial orders  

Science Conference Proceedings (OSTI)

In many of the possible applications as well as the theoretical models of computational social choice, the agents' preferences are represented as partial orders. In this paper, we extend the maximum likelihood approach for defining "optimal" voting rules ...

Lirong Xia; Vincent Conitzer

2011-07-01T23:59:59.000Z

113

Synoptic Reorganization of Atmospheric Flow during the Last Glacial Maximum  

Science Conference Proceedings (OSTI)

A coupled global atmosphere–ocean model of intermediate complexity is used to study the influence of glacial boundary conditions on the atmospheric circulation during the Last Glacial Maximum in a systematical manner. A web of atmospheric ...

Flávio Justino; Axel Timmermann; Ute Merkel; Enio P. Souza

2005-08-01T23:59:59.000Z

114

On Determinations of Maximum Hailstone Sizes from Hallpad Observations  

Science Conference Proceedings (OSTI)

Reports of hailstones larger than those indicated by hailpad observations being found on the ground around the hailpad sites raise questions about the validity of maximum-size determinations. Data from the Grossversuch IV hailpad network ...

Paul L. Smith; Albert Waldvogel

1989-01-01T23:59:59.000Z

115

Characteristics of Maximum Concentrations from Multiple Point Sources  

Science Conference Proceedings (OSTI)

A simple quasi-Newton numerical scheme is applied to determine the hypothetical worst-case meteorology that will result in the maximum combined concentrations at any receptor location in air quality modeling over short distances for multiple ...

N. M. Zoumakis

1998-07-01T23:59:59.000Z

116

Effects of Tides on Maximum Tsunami Wave Heights: Probability Distributions  

Science Conference Proceedings (OSTI)

A theoretical study was carried out to understand how the probability distribution for maximum wave heights (?m) during tsunamis depends on the initial tsunami amplitude (A) and the tides. It was assumed that the total wave height is the linear ...

Harold O. Mofjeld; Frank I. González; Vasily V. Titov; Angie J. Venturato; Jean C. Newman

2007-01-01T23:59:59.000Z

117

Normalized Maximum-Likelihood Estimators of the Directional Wave Spectrum  

Science Conference Proceedings (OSTI)

A new family of data-adaptative directional wave spectrum estimators is proposed. These estimators may be considered as an improvement over the well-known extended maximum-likelihood method (EMLM). The normalization is based on the idea of ...

M. A. Arribas; J. J. Egozcue

1995-06-01T23:59:59.000Z

118

Maximum likelihood sequence estimation from the lattice viewpoint  

Science Conference Proceedings (OSTI)

Considers the problem of data detection in multilevel lattice-type modulation systems in the presence of intersymbol interference and additive white Gaussian noise. The conventional maximum likelihood sequence estimator using the Viterbi algorithm has ...

Wai Ho Mow

1994-09-01T23:59:59.000Z

119

Humidity Profile Retrieval Using a Maximum Entropy Principle  

Science Conference Proceedings (OSTI)

A satellite data inversion method based on a maximum entropy principle is presented. The method is both physical since a radiative transfer model with its adjoint is needed, and also statistical since errors of the observed radiances and of a ...

Bernard Urban

1995-04-01T23:59:59.000Z

120

Maximum Likelihood Estimation Using Parallel Computing: An Introduction to MPI  

Science Conference Proceedings (OSTI)

The computational difficulty of econometric problems has increased dramatically in recent years as econometricians examine more complicated models and utilize more sophisticated estimation techniques. Many problems in econometrics are `embarrassingly ... Keywords: MPI, maximum likelihood estimation, parallel computing, parallel programming

Christopher A. Swann

2002-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Maximum containment : the most controversial labs in the world  

E-Print Network (OSTI)

In 2002, following the September 11th attacks and the anthrax letters, the United States allocated money to build two maximum containment biology labs. Called Biosafety Level 4 (BSL-4) facilities, these labs were built to ...

Bruzek, Alison K. (Allison Kim)

2013-01-01T23:59:59.000Z

122

Computing maximum non-crossing matching in convex bipartite graphs  

Science Conference Proceedings (OSTI)

We consider computing a maximum non-crossing matching in convex bipartite graphs. For a convex bipartite graph of n vertices and m edges, we present an O (n logn ...

Danny Z. Chen; Xiaomin Liu; Haitao Wang

2012-05-01T23:59:59.000Z

123

Maximum Photovoltaic Penetration Levels on Typical Distribution Feeders: Preprint  

DOE Green Energy (OSTI)

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.

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

2012-07-01T23:59:59.000Z

124

Predictable dynamic instruction scratchpad for simultaneous multithreaded processors  

Science Conference Proceedings (OSTI)

For precise timing analysis of hard-real applications a predictable memory system is of particular importance. Caches have a great impact on performance, but at the cost of reduced timing predictability. Conventional scratchpads, i.e. statically managed ...

Stefan Metzlaff; Sascha Uhrig; Jörg Mische; Theo Ungerer

2008-10-01T23:59:59.000Z

125

ORNL analysis predicts losses from extreme weather damage could...  

NLE Websites -- All DOE Office Websites (Extended Search)

ORNL analysis predicts losses from extreme weather damage could double by 2050 Researcher tackles unprecedented county-by-county economic loss forecast Research in impacts,...

126

Estimating the Observed Atmospheric Response to SST Anomalies: Maximum Covariance Analysis, Generalized Equilibrium Feedback Assessment, and Maximum Response Estimation  

Science Conference Proceedings (OSTI)

Three multivariate statistical methods to estimate the influence of SST or boundary forcing on the atmosphere are discussed. Lagged maximum covariance analysis (MCA) maximizes the covariance between the atmosphere and prior SST, thus favoring ...

Claude Frankignoul; Nadine Chouaib; Zhengyu Liu

2011-05-01T23:59:59.000Z

127

Neural Network Prediction of solar cycle 24  

E-Print Network (OSTI)

The ability to predict the future behavior of solar activity has become of extreme importance due to its effect on the near Earth environment. Predictions of both the amplitude and timing of the next solar cycle will assist in estimating the various consequences of Space Weather. The level of solar activity is usually expressed by international sunspot number ($R_z$). Several prediction techniques have been applied and have achieved varying degrees of success in the domain of solar activity prediction. In this paper, we predict a solar index ($R_z$) in solar cycle 24 by using the neural network method. The neural network technique is used to analyze the time series of solar activity. According to our predictions of yearly sunspot number, the maximum of cycle 24 will occur in the year 2013 and will have an annual mean sunspot number of 65. Finally, we discuss our results in order to compare it with other suggested predictions.

Ajabshirizadeh, A; Abbassi, S

2010-01-01T23:59:59.000Z

128

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

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Maximum Wave Height(m) 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. (previous 25) (next 25) 1 1.5-ft Wave Flume Facility + 0.2 + 10-ft Wave Flume Facility + 0.5 + 11-ft Wave Flume Facility + 0.4 + 2 2-ft Flume Facility + 0.6 + 3 3-ft Wave Flume Facility + 0.2 + 5 5-ft Wave Flume Facility + 0.5 + 6 6-ft Wave Flume Facility + 0.4 + A Alden Large Flume + 0.0 + Alden Small Flume + 0.2 + Alden Wave Basin + 0.3 + B Breakwater Research Facility + 0.0 + C Carderock Maneuvering & Seakeeping Basin + 0.6 + Carderock Tow Tank 2 + 0.6 + Carderock Tow Tank 3 + 0.6 +

129

Generalized Relativistic Wave Equations with Intrinsic Maximum Momentum  

E-Print Network (OSTI)

We examine the nonperturbative effect of maximum momentum on the relativistic wave equations. In momentum representation, we obtain the exact eigen-energies and wavefunctions of one-dimensional Klein-Gordon and Dirac equation with linear confining potentials, and the Dirac oscillator. Bound state solutions are only possible when the strength of scalar potential are stronger than vector potential. The energy spectrum of the systems studied are bounded from above, whereby classical characteristics are observed in the uncertainties of position and momentum operators. Also, there is a truncation in the maximum number of bound states that is allowed. Some of these quantum-gravitational features may have future applications.

Chee Leong Ching; Wei Khim Ng

2013-11-15T23:59:59.000Z

130

Lagged Average Predictions in a Predictability Experiment  

Science Conference Proceedings (OSTI)

Lagged average predictions are examined here within the context of an idealized predictability experiment. Lagged predictions contribute to making better forecasts than the forecasts obtained from using only the latest initial state. Analytic ...

John O. Roads

1988-01-01T23:59:59.000Z

131

A Climatic Model for the Prediction of Percentile Statistics for Ambient Temperature  

Science Conference Proceedings (OSTI)

The probability density function (pdf) for ambient temperature is predicted from daily maximum and daily minimum temperature and sunshine, data by means of a climatic model.

Aleck J. Hunter

1981-04-01T23:59:59.000Z

132

An effective heuristic algorithm for the maximum satisfiability problem  

Science Conference Proceedings (OSTI)

Stochastic local search algorithms (SLS) have been increasingly applied to approximate solutions of the weighted maximum satisfiability problem (MAXSAT), a model for solutions of major problems in AI and combinatorial optimization. While MAXSAT instances ... Keywords: Bose-Einstein distribution, Extremal Optimization, Heuristic search, MAXSAT, Problem solving

Mohamed El Menaï; Mohamed Batouche

2006-06-01T23:59:59.000Z

133

An electromagnetism metaheuristic for solving the Maximum Betweenness Problem  

Science Conference Proceedings (OSTI)

In this paper we present an electromagnetism (EM) metaheuristic for solving NP hard Maximum Betweenness Problem (MBP). A new encoding scheme with appropriate objective functions is implemented. Specific representation of the individuals enables the EM ... Keywords: Betweenness problem, Combinatorial optimization, Electromagnetism-like mechanism

Vladimir Filipovi?; Aleksandar Kartelj; Dragan Mati?

2013-02-01T23:59:59.000Z

134

Mixed Integer Linear Programming for Maximum-Parsimony Phylogeny Inference  

Science Conference Proceedings (OSTI)

Reconstruction of phylogenetic trees is a fundamental problem in computational biology. While excellent heuristic methods are available for many variants of this problem, new advances in phylogeny inference will be required if we are to be able to continue ... Keywords: Computational Biology, Algorithms, Integer Linear Programming, Steiner tree problem, Phylogenetic tree reconstruction, Maximum parsimony

Srinath Sridhar; Fumei Lam; Guy E. Blelloch; R. Ravi; Russell Schwartz

2008-07-01T23:59:59.000Z

135

Global Increasing Trends in Annual Maximum Daily Precipitation  

Science Conference Proceedings (OSTI)

This study investigates the presence of trends in annual maximum daily precipitation time series obtained from a global dataset of 8326 high-quality land-based observing stations with more than 30 years of record over the period from 1900 to 2009. ...

Seth Westra; Lisa V. Alexander; Francis W. Zwiers

2013-06-01T23:59:59.000Z

136

Probable Maximum Precipitation Study for Wisconsin and Michigan: Volume 1  

Science Conference Proceedings (OSTI)

The study provides maps and supporting information on the probable maximum precipitation (PMP) for Wisconsin and Michigan. The refinement of PMP for the study area has typically lowered the PMP from the generalized values in Hydrometeorological Report (HMR) 51. The study followed HMR 51 procedures with some minor changes that apply to other regions.

1993-08-01T23:59:59.000Z

137

Feature Extraction Based on Maximum Nearest Subspace Margin Criterion  

Science Conference Proceedings (OSTI)

Based on the classification rule of sparse representation-based classification (SRC) and linear regression classification (LRC), we propose the maximum nearest subspace margin criterion for feature extraction. The proposed method can be seen as a preprocessing ... Keywords: Dimensionality reduction, Face recognition, Feature extraction, Finger knuckle print recognition, Linear regression classification

Yi Chen; Zhenzhen Li; Zhong Jin

2013-06-01T23:59:59.000Z

138

Maximum Fuel Energy Saving of a Brayton Cogeneration Cycle  

Science Conference Proceedings (OSTI)

An endoreversible Joule-Brayton cogeneration cycle has been optimized with fuel energy saving as an assessment criterion. The effects of power-to-heat ratio, cycle temperature ratio, and user temperature ratio on maximum fuel energy saving and efficiency ... Keywords: cogeneration cycle, fuel energy saving, thermodynamic optimization

Xiaoli Hao; Guoqiang Zhang

2009-10-01T23:59:59.000Z

139

Maximum Potential Intensities of Tropical Cyclones near Isla Socorro, Mexico  

Science Conference Proceedings (OSTI)

The maximum potential intensity (MPI) of a tropical cyclone represents a theoretical upper limit to the strength of the storm imposed by the laws of physics and the energy available to the system in the atmosphere and the ocean. The MPI in this ...

Jay S. Hobgood

2003-12-01T23:59:59.000Z

140

The Summer Cyclone Maximum over the Central Arctic Ocean  

Science Conference Proceedings (OSTI)

A fascinating feature of the northern high-latitude circulation is a prominent summer maximum in cyclone activity over the Arctic Ocean, centered near the North Pole in the long-term mean. This pattern is associated with the influx of lows ...

Mark C. Serreze; Andrew P. Barrett

2008-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Maximum power tracking control scheme for wind generator systems  

E-Print Network (OSTI)

The purpose of this work is to develop a maximum power tracking control strategy for variable speed wind turbine systems. Modern wind turbine control systems are slow, and they depend on the design parameters of the turbine and use wind and/or rotor speed measurements as control variable inputs. The dependence on the accuracy of the measurement devices makes the controller less reliable. The proposed control scheme is based on the stiff system concept and provides a fast response and a dynamic solution to the complicated aerodynamic system. This control scheme provides a response to the wind changes without the knowledge of wind speed and turbine parameters. The system consists of a permanent magnet synchronous machine (PMSM), a passive rectifier, a dc/dc boost converter, a current controlled voltage source inverter, and a microcontroller that commands the dc/dc converter to control the generator for maximum power extraction. The microcontroller will also be able to control the current output of the three-phase inverter. In this work, the aerodynamic characteristics of wind turbines and the power conversion system topology are explained. The maximum power tracking control algorithm with a variable step estimator is introduced and the modeling and simulation of the wind turbine generator system using the MATLAB/SIMULINK® software is presented and its results show, at least in principle, that the maximum power tracking algorithm developed is suitable for wind turbine generation systems.

Mena Lopez, Hugo Eduardo

2007-12-01T23:59:59.000Z

142

Last Glacial Maximum and Holocene Climate in CCSM3  

Science Conference Proceedings (OSTI)

The climate sensitivity of the Community Climate System Model version 3 (CCSM3) is studied for two past climate forcings, the Last Glacial Maximum (LGM) and the mid-Holocene. The LGM, approximately 21 000 yr ago, is a glacial period with large ...

Bette L. Otto-Bliesner; Esther C. Brady; Gabriel Clauzet; Robert Tomas; Samuel Levis; Zav Kothavala

2006-06-01T23:59:59.000Z

143

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint  

E-Print Network (OSTI)

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint Zhe Wang Electrical The employment of the renewable energy source has grown from long-established concepts into devices for powering--In this paper, we develop efficient algorithm to obtain the optimal energy schedule for fading channel

Greenberg, Albert

144

MCMR: Maximum coverage and minimum redundant text summarization model  

Science Conference Proceedings (OSTI)

In paper, we propose an unsupervised text summarization model which generates a summary by extracting salient sentences in given document(s). In particular, we model text summarization as an integer linear programming problem. One of the advantages of ... Keywords: Branch-and-bound, Integer linear programming, Less redundancy, Maximum coverage, Particle swarm optimization, Text summarization

Rasim M. Alguliev; Ramiz M. Aliguliyev; Makrufa S. Hajirahimova; Chingiz A. Mehdiyev

2011-11-01T23:59:59.000Z

145

THE RISE AND FALL OF OPEN SOLAR FLUX DURING THE CURRENT GRAND SOLAR MAXIMUM  

Science Conference Proceedings (OSTI)

We use geomagnetic activity data to study the rise and fall over the past century of the solar wind flow speed V{sub SW}, the interplanetary magnetic field strength B, and the open solar flux F {sub S}. Our estimates include allowance for the kinematic effect of longitudinal structure in the solar wind flow speed. As well as solar cycle variations, all three parameters show a long-term rise during the first half of the 20th century followed by peaks around 1955 and 1986 and then a recent decline. Cosmogenic isotope data reveal that this constitutes a grand maximum of solar activity which began in 1920, using the definition that such grand maxima are when 25-year averages of the heliospheric modulation potential exceeds 600 MV. Extrapolating the linear declines seen in all three parameters since 1985, yields predictions that the grand maximum will end in the years 2013, 2014, or 2027 using V{sub SW}, F{sub S}, or B, respectively. These estimates are consistent with predictions based on the probability distribution of the durations of past grand solar maxima seen in cosmogenic isotope data. The data contradict any suggestions of a floor to the open solar flux: we show that the solar minimum open solar flux, kinematically corrected to allow for the excess flux effect, has halved over the past two solar cycles.

Lockwood, M.; Rouillard, A. P. [Space Environment Physics, School of Physics and Astronomy, Southampton University, Highfield, Southampton SO17 1BJ (United Kingdom); Finch, I. D. [Space Science and Technology Department, Rutherford Appleton Laboratory, Chilton, Didcot, Oxfordshire OX11 0QX (United Kingdom)], E-mail: mike.lockwood@stfc.ac.uk

2009-08-01T23:59:59.000Z

146

Probabilistic Prediction of Tropical Cyclones. Part II: Intensity  

Science Conference Proceedings (OSTI)

A new objective aid for operational probabilistic intensity (defined as maximum wind speed) prediction of tropical cyclones is presented. Based on statistical analyses of the performance of all operationally available numerical models (using ...

Harry C. Weber

2005-07-01T23:59:59.000Z

147

Precipitation and Temperature Forecast Performance at the Weather Prediction Center  

Science Conference Proceedings (OSTI)

The role of the human forecaster in improving upon the accuracy of numerical weather prediction is explored using multi-year verification of human-generated short-range precipitation forecasts and medium-range maximum temperature forecasts from ...

David R. Novak; Christopher Bailey; Keith Brill; Patrick Burke; Wallace Hogsett; Robert Rausch; Michael Schichtel

148

A Simplified Dynamical System for Tropical Cyclone Intensity Prediction  

Science Conference Proceedings (OSTI)

A simplified dynamical system for tropical cyclone intensity prediction based on a logistic growth equation (LGE) is developed. The time tendency of the maximum sustained surface winds is proportional to the sum of two terms: a growth term and a ...

Mark DeMaria

2009-01-01T23:59:59.000Z

149

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

Open Energy Info (EERE)

Velocity(m/s) Velocity(m/s) Jump to: navigation, search Property Name Maximum Velocity(m/s) Property Type String Pages using the property "Maximum Velocity(m/s)" Showing 25 pages using this property. (previous 25) (next 25) A Alden Large Flume + 0.9 + B Bucknell Hydraulic Flume + 2.7 + C Carderock Maneuvering & Seakeeping Basin + 7.2 + Carderock Rotating Arm Tow Tank + 25.8 + Carderock Tow Tank 1 + 9.3 + Carderock Tow Tank 2 + 10.3 + Carderock Tow Tank 3 + 25.8 + Chase Tow Tank + 2.5 + D Davidson Laboratory Tow Tank + 18.3 + H Haynes Tow Tank + 1.8 + I Ice Towing Tank + 0.5 + L Lakefront Tow Tank + 2.7 + M MHL Free Surface Channel + 2 + MHL High Speed Cavitation + 25.9 + MHL Tow Tank + 6.7 + MIT Tow Tank + 1.5 + MMA Tugboat/ Barge/ Vessel + 5.1 + Maine Tow Tank + 3 +

150

Minimum/maximum excitation limiter performance goals for small generation  

SciTech Connect

Small generators connected to the utility system often act as followers as they tend to follow system bus voltage variations. For the lack of kVA capacity, small machines tend to be susceptible to becoming over or under excited (excessive Vars in or Vars out of the generator) as the voltage regulator tries to maintain its setpoint with variations in system bus voltage. Minimum and maximum excitation limiters are utilized to limit the voltage regulator characteristic response to system bus voltage changes, that can otherwise result in machine overheating and/or pulling out of synchronization. This paper reviews the operating performance of minimum and maximum excitation limiters used on small machines, and provides the user typical performance expectations. The examples will highlight both main field and exciter field applications. Lastly, conditions will be reviewed that may occur during excitation limiter initial startup that can affect their ability to be initially tuned.

Eberly, T.W.; Schaefer, R.C.

1995-12-01T23:59:59.000Z

151

LITERATURE REVIEW ON MAXIMUM LOADING OF RADIONUCLIDES ON CRYSTALLINE SILICOTITANATE  

SciTech Connect

Plans are underway to use small column ion exchange (SCIX) units installed in high-level waste tanks to remove Cs-137 from highly alkaline salt solutions at Savannah River Site. The ion exchange material slated for the SCIX project is engineered or granular crystalline silicotitanate (CST). Information on the maximum loading of radionuclides on CST is needed by Savannah River Remediation for safety evaluations. A literature review has been conducted that culminated in the estimation of the maximum loading of all but one of the radionuclides of interest (Cs-137, Sr-90, Ba-137m, Pu-238, Pu-239, Pu-240, Pu-241, Am-241, and Cm-244). No data was found for Cm-244.

Adu-Wusu, K.; Pennebaker, F.

2010-10-13T23:59:59.000Z

152

Chemical maximum humidity indicator update report. Topical report  

SciTech Connect

Raw materials and manufactured parts sometimes must be kept in a controlled-humidity environment. The use of moisture-sensitive systems to indicate the maximum level of humidity exposure is discussed. A chemical indicator made from deliquescent salts and water-soluble dyes provides an irreversible color change at discrete levels of relative humidity. The performance and long-term-stability characteristics of the indicator are described.

Abel, W.B.

1978-11-01T23:59:59.000Z

153

Unification of Maximum Entropy and Bayesian Inference via Plausible Reasoning  

E-Print Network (OSTI)

This paper modifies Jaynes's axioms of plausible reasoning and derives the minimum relative entropy principle as well as Bayes's rule from first principles. The new axioms, which I call the Optimum Information Principle, is applicable whenever the decision maker is given the data and the relevant background information. Given that the maximum entropy principle and Bayesian inference are useful methods, the Optimum Information Principle is at least as useful.

Toda, Alexis Akira

2011-01-01T23:59:59.000Z

154

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

Open Energy Info (EERE)

Wave Length(m) Wave 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 property. A Alden Small Flume + Variable + Alden Wave Basin + 1.8 + C Carderock Maneuvering & Seakeeping Basin + 12.2 + Carderock Tow Tank 2 + 12.2 + Carderock Tow Tank 3 + 12.2 + D Davidson Laboratory Tow Tank + 15.2 + DeFrees Large Wave Basin + 64 + DeFrees Small Wave Basin + 30 + H Haynes Wave Basin + 10.7 + L Lakefront Tow Tank + 22 + M MIT Tow Tank + 4.6 + O OTRC Wave Basin + 25 + Ohmsett Tow Tank + 18 + R Richmond Field Station Tow Tank + 2 + S SAFL Channel + 6.6 + Sandia Lake Facility + 4.57 + Sheets Wave Basin + 10 + Ship Towing Tank + 6 + Retrieved from "http://en.openei.org/w/index.php?title=Property:Maximum_Wave_Length(m)&oldid=597351

155

IEP - Water-Energy Interface: Total Maximum Daily Load Page  

NLE Websites -- All DOE Office Websites (Extended Search)

Total Maximum Daily Loads (TMDLs) Total Maximum Daily Loads (TMDLs) The overall goal of the Clean Water Act is to "restore and maintain the chemical, physical, and biological integrity of the NationÂ’s waters." In 1999, EPA proposed changes to Section 303(d), to establish Total Maximum Daily Loads (TMDLs) for watersheds that do not meet this goal. The TMDL is the highest amount of a given pollutant that is permissible in that body of water over a given period of time. TMDLs include both waste load allocation (WLA) for point sources and load allocations for non-point sources. In Appalachia, acid mine drainage (AMD) is the single most damaging non-point source. There is also particular concern of the atmospheric deposition of airborne sulfur, nitrogen, and mercury compounds. States are currently in the process of developing comprehensive lists of impaired waters and establishing TMDLs for those waters. EPA has recently proposed a final rule that will require states to develop TMDLs and implement plans for improving water quality within the next 10 years. Under the new rule, TMDL credits could be traded within a watershed.

156

Models for estimating saturation flow and maximum demand at closely spaced intersections  

E-Print Network (OSTI)

This thesis describes models for saturation flow and maximum demand at closely spaced intersections. The effects of queue interaction between these two intersections are taken into account in both models. The saturation flow model is based on the Prosser-Dunne model. The presence of queues in the inter-signal link causes a reduction in saturation flow and capacity. The analytical model on which the methodology is based assumes that upstream movements discharge at their normal saturation flow rate or arrival flow rate until the downstream queue extends back to the upstream intersection and blocking occurs. The model calculates the capacities of movements at the upstream intersection as a reduced effective green period. The model can be used to estimate capacities at paired intersections with multiple upstream and downstream green periods. The results from the model are compared with TRAF-NETSIM simulation results. The results of this comparison show that the model predicts throughput better when movements at the upstream intersection (for which throughput are being calculated) are oversaturated. This thesis recommends that the capacity of movements be calculated using the reduced effective green period rather than the reduced saturation flow. The second model developed as a part of this research predicts the maximum demand at the downstream intersection. The through movement at the upstream intersection is assumed to be oversaturated and cross street movements are not considered. The analysis shows that either the upstream capacity, downstream capacity or storage capacity becomes critical and influences the maximum demand depending on the different combinations of upstream and downstream green and storage spacing considered. The demand from the models is used as input to the 1994 Highway Capacity Manual (HCM) delay equation and the delay compared with that simulated by TRAF-NETSIM for various cases. The comparison shows that the models developed predict values that compare favorably with results from TRAF NETSIM. It is recommended that the models be used to compute the upper bound for the HCM delay equation for the cases analyzed.

Nanduri, Sreelata

1995-01-01T23:59:59.000Z

157

THE PREDICTIVE POWER OF OHL'S PRECURSOR METHOD  

Science Conference Proceedings (OSTI)

Using linear regression techniques and correlation analysis, the predictive power of Ohl's method is shown to satisfy one of the following relationships. Either a successful prediction of cycle amplitude can be obtained if the correlation between the minimum aa geomagnetic index in the declining phase of a solar cycle and the sunspot maximum of the succeeding cycle becomes stronger, or the prediction error exceeds the expected prediction error if the correlation becomes weaker. The correlation coefficient has a declining secular variation, which leads to a weakening trend in predictive power, as well as a 44 year periodicity that may explain why the prediction method did not work well for solar cycle 23. As this finding only emerged twice in the {approx}100 year period studied, this 44 year periodicity may occur with a degree of uncertainty and may therefore need to be checked in the future. Two quantities, namely a prediction parameter and the prediction index, are proposed to analyze predictive power. Using the above properties, the success probability of a prediction result can be analyzed in advance.

Du, Z. L.; Wang, H. N. [Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012 (China); Li, R. [Beijing Wuzi University, Beijing 101149 (China)], E-mail: zldu@nao.cas.cn

2009-12-15T23:59:59.000Z

158

EFFECTS OF THE MAXIMUM CREDIBLE ACCIDENT RELEVANT TO THE DESIGN OF THE CONTAINMENT SHELL, EXPERIMENTAL LOW-TEMPERATURE PROCESS HEAT REACTOR PROJECT  

SciTech Connect

The effects of the maximum credible accident relative to the design of the containment shell are discussed. The maximum credible accident is defined. The thermal and hydraulic effects of the maximum credible accident on the reactor system were analyzed. The extent to which fuelrod cladding will melt was estimated. The amount of energy released from the reactor system by the escaping steam and water and by a possible chemical reaction was calculated along with the corresponding pressure rise inside the containment shell. The kinds, amounts, and total radioactivity of fission products released to the atmosphere of the containment shell after the core melts were predicted. (M.C.G.)

1960-03-21T23:59:59.000Z

159

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

SciTech Connect

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.

Thomas, L.C.

1994-10-01T23:59:59.000Z

160

An integrated maximum power point tracker for photovoltaic panels  

E-Print Network (OSTI)

Abstract- This paper proposes a maximum power point tracker (MPPT) for a photovoltaic panel, that is to be integrated with the panel during manufacturing. The MPPT is inexpensive, efficient and has few components that serve to increase the MPPT’s mean time between failures (MTBF). The MPPT uses an inexpensive micro-controller to perform all of its functions. This includes maximum power point tracking, series battery voltage regulation, sensorless short circuit protection of the MPPT’s converter and intelligent shutdown and wakeup at dusk and dawn. The MPPT can source 10 A to a 6 V- 36 V lead-acid storage battery and can be connected in parallel or series with other MPPTs. The MPPT may be easily configured to perform output voltage regulation on passive and water pumping loads. It could also control the actuation of a diesel generator in a hybrid remote area power supply (RAPS). Energy transfer enhancements of up to 26%, compared to solar panels without MPPTs, have been measured. The complete component and materials cost of the MPPT is approximately 2’8 % of the cost of photovoltaic panels with a peak power rating of 154 W. The integrated MPPT also consumes no stored energy at night. 1.

Wernher Swiegers

1998-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Maximum relative excitation of a specific vibrational mode via optimum laser-pulse duration  

E-Print Network (OSTI)

For molecules and materials responding to femtosecond-scale optical laser pulses, we predict maximum relative excitation of a Raman-active vibrational mode with period T when the pulse has a full-width-at-halfmaximum duration tau approximate to 0.42T. This result follows from a general analytical model, and is precisely confirmed by detailed density-functional-based dynamical simulations for C(60) and a carbon nanotube, which include anharmonicity, nonlinearity, no assumptions about the polarizability tensor, and no averaging over rapid oscillations within the pulse. The mode specificity is, of course, best at low temperature and for pulses that are electronically off-resonance, and the energy deposited in any mode is proportional to the fourth power of the electric field.

Zhou, Xiang; Lin, Zhibin; Jiang, Chenwei; Gao, Meng; Allen, Roland E.

2010-01-01T23:59:59.000Z

162

The maximum time interval of time-lapse photography for monitoring construction operations  

E-Print Network (OSTI)

Many construction companies today utilize webcams on their jobsites to monitor and record construction operations. Jobsite monitoring is often limited to outdoor construction operations due to lack of mobility of wired webcams. A wireless webcam may help monitor indoor construction operations with enhanced mobility. The transfer time of sending a photograph from the wireless webcam, however, is slower than that of a wired webcam. It is expected that professionals may have to analyze indoor construction operations with longer interval time-lapse photographs if they want to use a wireless webcam. This research aimed to determine the maximum time interval for time-lapse photos that enables professionals to interpret construction operations and productivity. In order to accomplish the research goal, brickwork of five different construction sites was videotaped. Various interval time-lapse photographs were generated from each video. Worker?s activity in these photographs was examined and graded. The grades in one-second interval photographs were compared with the grades of the same in longer time interval photographs. Error rates in observing longer time-lapse photographs were then obtained and analyzed to find the maximum time interval of time-lapse photography for monitoring construction operations. Research has discovered that the observation error rate increased rapidly until the 60-second interval and its increasing ratio remained constant. This finding can be used to predict a reasonable amount of error rate when observing time-lapse photographs less than 60-second interval. The observation error rate with longer than 60-second interval did not show a constant trend. Thus, the 60-second interval could be considered as the maximum time interval for professionals to interpret construction operations and productivity.

Choi, Ji Won

2004-08-01T23:59:59.000Z

163

Qualms concerning Tsallis ’ Use of the Maximum Entropy Formalism  

E-Print Network (OSTI)

Tsallis ’ ‘statistical thermodynamic ’ formulation of the nonadditive entropy of degree-? is neither correct nor self-consistent. It is well known that the maximum entropy formalism [1], the minimum discrimination information [2], and Gauss ’ principle [3, 4] all lead to the same results when a certain condition on the prior probability distribution is imposed [5]. All these methods lead to the same form of the posterior probability distribution; namely, the exponential family of distributions. Tsallis and collaborators [6] have tried to adapt the maximum entropy formalism that uses the Shannon entropy to one that uses a nonadditive entropy of degree-?. In order to come out with analytic expressions for the probabilities that maximize the nonadditive entropy they found it necessary to use ‘escort probabilities’[7] of the same power as the nonadditive entropy. If the procedure they use is correct then it follows that Gauss ’ principle should give the same optimum probabilities. Yet, we will find that the Tsallis result requires that the prior probability distribution be given by the same unphysical condition as the maximum entropy formalism and, what is worse, the potential of the error law be required to vanish. The potential of the error law is what information theory refers to as the error [8]; that is, the difference between the inaccuracy and the entropy. Unless the ‘true ’ probability distribution, P = (p(x1), p(x2)...,p(xm)) coincides with the estimated probability distribution, Q = (q(x1), q(x2),...q(xm)), the error does not vanish. Moreover, we shall show that two procedures of averaging, one using the escort probabilities explicitly, do not give the same result, and the relation between the potential of the error law and the nonadditive entropy requires the latter to vanish when the former vanishes. Let X be a random variable whose values x1, x2,..., xm are obtained at m independent trials. Prior to the observations the distribution is Q, and after the observations the unknown probability distribution is P. The observer has 1 at his disposal the statistic â = 1

B. H. Lavenda; J. Dunning-davies

2003-01-01T23:59:59.000Z

164

MAXIMUM LIKELIHOOD ANALYSIS OF SYSTEMATIC ERRORS IN INTERFEROMETRIC OBSERVATIONS OF THE COSMIC MICROWAVE BACKGROUND  

SciTech Connect

We investigate the impact of instrumental systematic errors in interferometric measurements of the cosmic microwave background (CMB) temperature and polarization power spectra. We simulate interferometric CMB observations to generate mock visibilities and estimate power spectra using the statistically optimal maximum likelihood technique. We define a quadratic error measure to determine allowable levels of systematic error that does not induce power spectrum errors beyond a given tolerance. As an example, in this study we focus on differential pointing errors. The effects of other systematics can be simulated by this pipeline in a straightforward manner. We find that, in order to accurately recover the underlying B-modes for r = 0.01 at 28 < l < 384, Gaussian-distributed pointing errors must be controlled to 0. Degree-Sign 7 root mean square for an interferometer with an antenna configuration similar to QUBIC, in agreement with analytical estimates. Only the statistical uncertainty for 28 < l < 88 would be changed at {approx}10% level. With the same instrumental configuration, we find that the pointing errors would slightly bias the 2{sigma} upper limit of the tensor-to-scalar ratio r by {approx}10%. We also show that the impact of pointing errors on the TB and EB measurements is negligibly small.

Zhang Le; Timbie, Peter [Department of Physics, University of Wisconsin, Madison, WI 53706 (United States); Karakci, Ata; Korotkov, Andrei; Tucker, Gregory S. [Department of Physics, Brown University, 182 Hope Street, Providence, RI 02912 (United States); Sutter, Paul M.; Wandelt, Benjamin D. [Department of Physics, 1110 W Green Street, University of Illinois at Urbana-Champaign, Urbana, IL 61801 (United States); Bunn, Emory F., E-mail: lzhang263@wisc.edu [Physics Department, University of Richmond, Richmond, VA 23173 (United States)

2013-06-01T23:59:59.000Z

165

Reduction in maximum time uncertainty of paired time signals  

DOE Patents (OSTI)

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.

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

1981-02-11T23:59:59.000Z

166

Topic: Service Life Prediction  

Science Conference Proceedings (OSTI)

Topic: Service Life Prediction. Event. 24th NIST Computer Modeling Workshop. ... Service Life Prediction of Polymeric Materials: Vision for the Future. ...

2012-09-19T23:59:59.000Z

167

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

Science Conference Proceedings (OSTI)

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.

Thorhallsdottir, Thora Ellen [Institute of Biology (Iceland)]. E-mail: theth@hi.is

2007-08-15T23:59:59.000Z

168

Bayesian prediction of the Gaussian states from n sample  

E-Print Network (OSTI)

Recently quantum prediction problem was proposed in the Bayesian framework. It is shown that Bayesian predictive density operators are the best predictive density operators when we evaluate them by using the average relative entropy based on a prior.As an illustrative example, we treat the Gaussian states family adopting the Gaussian distribution as a prior and give the Bayesian predictive density operator with the heterodyne measurement fixed. We show that it is better than the plug-in predictive density operator based on the maximum likelihood estimate by calculating each average relative entropy.

F. Tanaka; F. Komaki

2005-10-23T23:59:59.000Z

169

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

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.

Martin Wilde, Principal Investigator

2012-12-31T23:59:59.000Z

170

Two experiments for the price of one? -- The role of the second oscillation maximum in long baseline neutrino experiments  

E-Print Network (OSTI)

We investigate the quantitative impact that data from the second oscillation maximum has on the performance of wide band beam neutrino oscillation experiments. We present results for the physics sensitivities to standard three flavor oscillation, as well as results for the sensitivity to non-standard interactions. The quantitative study is performed using an experimental setup similar to the Fermilab to DUSEL Long Baseline Neutrino Experiment (LBNE). We find that, with the single exception of sensitivity to the mass hierarchy, the second maximum plays only a marginal role due to the experimental difficulties to obtain a statistically significant and sufficiently background-free event sample at low energies. This conclusion is valid for both water Cherenkov and liquid argon detectors. Moreover, we confirm that non-standard neutrino interactions are very hard to distinguish experimentally from standard three-flavor effects and can lead to a considerable loss of sensitivity to \\theta_{13}, the mass hierarchy and CP violation.

Patrick Huber; Joachim Kopp

2010-10-18T23:59:59.000Z

171

Service Life Prediction  

Science Conference Proceedings (OSTI)

Prediction of Service Life of Reinforced Concrete Structure Exposed to Chlorides. Please supply the following parameters ...

2013-09-10T23:59:59.000Z

172

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

Reports and Publications (EIA)

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

Information Center

2006-09-19T23:59:59.000Z

173

LANDFILL OPERATION FOR CARBON SEQUESTRATION AND MAXIMUM METHANE EMISSION CONTROL  

Science Conference Proceedings (OSTI)

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.

Don Augenstein

2001-02-01T23:59:59.000Z

174

Multithreaded Algorithms for Maximum Matching in Bipartite Graphs  

Science Conference Proceedings (OSTI)

Abstract—We design, implement, and evaluate algorithms for computing a matching of maximum cardinality in a bipartite graph on multi-core and massively multithreaded computers. As computers with larger number of slower cores dominate the commodity processor market, the design of multithreaded algorithms to solve large matching problems becomes a necessity. Recent work on serial algorithms based on searching for augmenting paths for this problem have shown that their performance is sensitive to the order in which the vertices are processed for matching. In a multithreaded environment, imposing a serial order in which vertices are considered for matching would lead to loss of concurrency and performance. But this raises the question: Would parallel matching algorithms on multithreaded machines improve performance over a serial algorithm? We answer this question in the affirmative. We report efficient multithreaded implementations of two key algorithms (Hopcroft- Karp based on breadth-first-search, and Pothen-Fan based on depth-first-search) and their variants, combined with the Karp- Sipser initialization algorithm. We report extensive results and insights using three shared-memory platforms (a 48-core AMD Opteron, a 32-core Intel Nehalem, and a 128-processor Cray XMT) on a representative set of real-world and synthetic graphs. To the best of our knowledge, this is the first extensive study of augmentation-based parallel algorithms for bipartite cardinality matching.

Azad, Md Ariful; Halappanavar, Mahantesh; Rajamanickam, Siva; Boman, Erik G.; Khan, Arif; Pothen, Alex

2012-05-31T23:59:59.000Z

175

CMB Maximum Temperature Asymmetry Axis: Alignment with Other Cosmic Asymmetries  

E-Print Network (OSTI)

We use a global pixel based estimator to identify the axis of the residual Maximum Temperature Asymmetry (MTA) (after the dipole subtraction) of the WMAP 7 year Internal Linear Combination (ILC) CMB temperature sky map. The estimator is based on considering the temperature differences between opposite pixels in the sky at various angular resolutions (4 degrees-15 degrees and selecting the axis that maximizes this difference. We consider three large scale Healpix resolutions (N_{side}=16 (3.7 degrees), N_{side}=8 (7.3 degrees) and N_{side}=4 (14.7 degrees)). We compare the direction and magnitude of this asymmetry with three other cosmic asymmetry axes (\\alpha dipole, Dark Energy Dipole and Dark Flow) and find that the four asymmetry axes are abnormally close to each other. We compare the observed MTA axis with the corresponding MTA axes of 10^4 Gaussian isotropic simulated ILC maps (based on LCDM). The fraction of simulated ILC maps that reproduces the observed magnitude of the MTA asymmetry and alignment with the observed \\alpha dipole is in the range of 0.1%-0.5%$ (depending on the resolution chosen for the CMB map). The corresponding magnitude+alignment probabilities with the other two asymmetry axes (Dark Energy Dipole and Dark Flow) are at the level of about 1%. We propose Extended Topological Quintessence as a physical model qualitatively consistent with this coincidence of directions.

Antonio Mariano; Leandros Perivolaropoulos

2012-11-26T23:59:59.000Z

176

Application of a computer model for predicting remote noise levels  

Science Conference Proceedings (OSTI)

The prediction of noise levels at selected remote locations is an integral part of estimating the environmental impact of new stationary sources or of noise reduction for existing facilities. A three?dimensional computermodel

S. H. Judd; S. L. Dryden

1975-01-01T23:59:59.000Z

177

ISSUES AND ENVIRONMENTAL IMPACTS ASSOCIATED WITH  

E-Print Network (OSTI)

multiple power plants use the same, local water body for cooling. In addition to the original thermal Nuclear Power Plant). These designs provide better evidence for thermal impacts due to plant operation for Moss Landing Power Plant). The predicted new plume and its thermal impacts can be tested with plume

178

A Storm-Triggered Landslide Monitoring and Prediction System: Formulation and Case Study  

Science Conference Proceedings (OSTI)

Predicting the location and timing of mudslides with adequate lead time is a scientifically challenging problem that is critical for mitigating landslide impacts. Here, a new dynamic modeling system is described for monitoring and predicting ...

Diandong Ren; Lance M. Leslie; Rong Fu; Robert E. Dickinson; Xiang Xin

2010-10-01T23:59:59.000Z

179

Discovery Park Impact NNSA PRISM Center for  

E-Print Network (OSTI)

Discovery Park Impact NNSA PRISM Center for Prediction of Reliability, Integrity and Survivability in PRISM. Purdue is one of 5 centers funded under NNSA's Predictive Science Academic Alliance Program Computing, a division of Information Technology at Purdue. The NNSA national laboratories will be involved

Ginzel, Matthew

180

Economic impact  

Science Conference Proceedings (OSTI)

In federal fiscal year 2000 (FY00), Berkeley Lab had 4,347 full- and part-time employees. In addition, at any given time of the year, there were more than 1,000 Laboratory guests. These guests, who also reside locally, have an important economic impact on the nine-county Bay Area. However, Berkeley Lab's total economic impact transcends the direct effects of payroll and purchasing. The direct dollars paid to the Lab's employees in the form of wages, salaries, and benefits, and payments made to contractors for goods and services, are respent by employees and contractors again and again in the local and greater economy. Further, while Berkeley Lab has a strong reputation for basic scientific research, many of the Lab's scientific discoveries and inventions have had direct application in industry, spawning new businesses and creating new opportunities for existing firms. This analysis updates the Economic Impact Analysis done in 1996, and its purpose is to describe the economic and geographic impact of Laboratory expenditures and to provide a qualitative understanding of how Berkeley Lab impacts and supports the local community. It is intended as a guide for state, local, and national policy makers as well as local community members. Unless otherwise noted, this analysis uses data from FY00, the most recent year for which full data are available.

Technology Transfer Department

2001-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Prediction of the Probable Errors of Predictions  

Science Conference Proceedings (OSTI)

We propose here a method of “stochastic-dynamic” prediction that is computationally more efficient than integration of the full set of “second-moment” equations. This gain is achieved by omitting covariances between modes in different interacting ...

Philip D. Thompson

1985-02-01T23:59:59.000Z

182

Development of Basic Housing Systems for Maximum Affordability  

Science Conference Proceedings (OSTI)

The ability to provide safe, habitable, comfortable housing for very low income residents within the target budget of $10,000 presents unique design and construction challenges. However, a number of preliminary conclusions have been inferred as being important concepts relative to the study of affordable housing. The term affordable housing can have many meanings and research is needed to define this explicitly. As it is most often used, affordable housing refers to an economic relationship between the price of housing, household income and current interest rates available from a lending institution. There is no direct relationship between architectural style, construction technology or user needs and the concept of affordability. For any home to be affordable, the home owner must balance the combination of housing needs and desires within the limits of an actual budget. There are many misconceptions that affordable housing must be defined as housing for those who cannot afford the free-market price. The concept of affordable housing must also include a component that recognizes the quality of the housing as an important element of the design and construction. In addition, responses to local climate impacts are necessary and are always part of a regional expression of architectural design. By using careful planning and design it may be possible to construct a limited dwelling unit today for a sum of approximately $10,000. Since the organization of the construction process must involve the owner/occupants as well as other volunteers, the project must not only be well conceived, but well developed and coordinated.

Aglan, H.; Gibbons, A.; McQueen, T.M.; Morris, C.; Raines, J.; Wendt, R.L.

1999-04-19T23:59:59.000Z

183

TAO: Impact  

NLE Websites -- All DOE Office Websites (Extended Search)

Impact Impact Home Download Documentation Publications Referencing TAO Impact Who We Are Acknowledgements License Contact Us Research and Publications that make use of TAO Dressed TDDFT study of low-lying electronic excited states in selected linear polyenes and diphenylopolyenes, Mazur, G., Makowski, M., Włodarczyk, R., and Aoki, Y., International Journal of Quantum Chemistry, 111, 4, 819--825, 2011. BibTeX Secondary thermal cracks in EGS: a variational approach, Bourdin, B., Knepley, M., and Maurini, C., Proceedings of the 34th annual meeting of the Geothermal resources council, 2010. BibTeX Adaptive Real-Time Bioheat Transfer Models for Computer Driven MR-guided Laser Induced Thermal Therapy, Fuentes, D., Feng, Y., Elliott, A., Shetty, A., McNichols, R. J., Oden, J. T., and Stafford, R. J., IEEE Trans. Biomed. Eng., 5, 1024--1030, 2010. BibTeX

184

On the System Dependency of Satellite Sounding Impact-Comments on Recent Impact Test Results  

Science Conference Proceedings (OSTI)

As shown by the Data Systems Test results, the impact of satellite temperature soundings on numerical weather prediction is highly dependent on the particular analysis and forecast system used to incorporate the data. The more amenable a system ...

M. S. Tracton; A. J. Desmaris; R. J. van Haaren; R. D. McPherson

1981-01-01T23:59:59.000Z

185

Maximum Reasonable Radioxenon Releases from Medical Isotope Production Facilities and Their Effect on Monitoring Nuclear Explosions  

SciTech Connect

Fission gases such as 133Xe are used extensively for monitoring the world for signs of nuclear testing in systems such as the International Monitoring System (IMS). These gases are also produced by nuclear reactors and by fission production of 99Mo for medical use. Recently, medical isotope production facilities have been identified as the major contributor to the background of radioactive xenon isotopes (radioxenon) in the atmosphere (Saey, et al., 2009). These releases pose a potential future problem for monitoring nuclear explosions if not addressed. As a starting point, a maximum acceptable daily xenon emission rate was calculated, that is both scientifically defendable as not adversely affecting the IMS, but also consistent with what is possible to achieve in an operational environment. This study concludes that an emission of 5×109 Bq/day from a medical isotope production facility would be both an acceptable upper limit from the perspective of minimal impact to monitoring stations, but also appears to be an achievable limit for large isotope producers.

Bowyer, Ted W.; Kephart, Rosara F.; Eslinger, Paul W.; Friese, Judah I.; Miley, Harry S.; Saey, Paul R.

2013-01-01T23:59:59.000Z

186

Microarchitecture support for improving the performance of load target prediction  

Science Conference Proceedings (OSTI)

Presents a load target prediction scheme that mitigates the impact of load latency for modern microprocessors. The scheme uses a cache-like buffer to provide the base address, offset and operand size at the instruction fetching stage of a pipeline so ... Keywords: load target prediction, load-use stall, pipeline, speculative data access, superscalar procesor

Chung-Ho Chen; Akida Wu

1997-12-01T23:59:59.000Z

187

Estimated Maximum Gas Retention from Uniformly Dispersed Bubbles in K Basin Sludge Stored in Large-Diameter Containers  

DOE Green Energy (OSTI)

This letter report addresses the KE Basin sludge that will be retrieved and stored in large-diameter containers (LDCs.) A fraction of the hydrogen gas bubbles generated from the corrosion of uranium metal and oxides may be retained within the sludge matrix. Those entrapped bubbles will expand the sludge bed volume and, therefore, will affect how much sludge can be loaded into a container. The entrapped gas bubbles will also impact the overall thermal conductivity and heat capacity of the sludge bed. The evaluation summarized here was performed to estimate the maximum gas holdup (volume fraction gas) that could occur sludge stored in large-diameter containers, assuming uniform gas generation (i.e., uniform distribution of metallic uranium particles). This report represents an evaluation of the retention of uniformly distributed bubbles and an estimate of the maximum gas fraction that might be retained in K Basin LDCs based on existing literature data on bubble retention and Basin sludge characterization data. Existing data show that the maximum gas fraction varies, depending on physical properties and the configuration of the material or waste.

Gauglitz, Phillip A.; Terrones, Guillermo

2002-05-15T23:59:59.000Z

188

Spatial Forecasts of Maximum Hail Size Using Prognostic Model Soundings and HAILCAST  

Science Conference Proceedings (OSTI)

Forecasting the occurrence of hail and the maximum hail size is a challenging problem. This paper investigates the feasibility of producing maps of the forecast maximum hail size over the Canadian prairies using 12-h prognostic soundings from an ...

Julian C. Brimelow; Gerhard W. Reuter; Ron Goodson; Terrence W. Krauss

2006-04-01T23:59:59.000Z

189

A Dynamical Interpretation of the Tritium Maximum in the Central Equatorial Pacific  

Science Conference Proceedings (OSTI)

The tropical tritium distribution between 1974 and 1981 is characterized by a maximum along the equator centered between 125° and 145°W. It signifies that this region has received the maximum input of high northern latitude water. A dynamical ...

Michael J. McPhaden; Rana A. Fine

1988-10-01T23:59:59.000Z

190

Poverty Social Impact Analysis | Open Energy Information  

Open Energy Info (EERE)

Poverty Social Impact Analysis Poverty Social Impact Analysis Jump to: navigation, search Tool Summary Name: Poverty Social Impact Analysis Agency/Company /Organization: World Bank Sector: Climate Complexity/Ease of Use: Moderate Website: web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTPSIA/0,,contentMDK:2041525 Related Tools Poverty Social Impact Analysis Intertemporal Computable Equilibrium System (ICES) Partnership for Economic Policy Modeling and Policy Impact Analysis (MPIA) ... further results Find Another Tool FIND DEVELOPMENT IMPACTS ASSESSMENT TOOLS An ex-ante or ex-post analysis that predicts the distributional social impacts of public policies, with particular emphasis on the poor and vulnerable. This approach generates evidence to inform policy dialogue, debate and decision-making. In climate change mitigation projects, PSIA can

191

On the Vertical Decay Rate of the Maximum Tangential Winds in Tropical Cyclones  

Science Conference Proceedings (OSTI)

In this study, it is shown that the maximum tangential winds within tropical cyclones decrease with height at a percentage rate that is nearly independent of both the maximum wind speed and the radius of maximum winds (RMW). This can be seen by ...

Daniel P. Stern; David S. Nolan

2011-09-01T23:59:59.000Z

192

MaxSolver: An efficient exact algorithm for (weighted) maximum satisfiability  

Science Conference Proceedings (OSTI)

Maximum Boolean satisfiability (max-SAT) is the optimization counterpart of Boolean satisfiability (SAT), in which a variable assignment is sought to satisfy the maximum number of clauses in a Boolean formula. A branch and bound algorithm based on the ... Keywords: DPLL, Linear programming, Nonlinear programming, Unit propagation, Variable ordering, Weighted maximum satisfiability

Zhao Xing; Weixiong Zhang

2005-05-01T23:59:59.000Z

193

OPTIMIZED FUEL INJECTOR DESIGN FOR MAXIMUM IN-FURNACE NOx REDUCTION AND MINIMUM UNBURNED CARBON  

SciTech Connect

Reaction Engineering International (REI) has established a project team of experts to develop a technology for combustion systems which will minimize NO x emissions and minimize carbon in the fly ash. This much need technology will allow users to meet environmental compliance and produce a saleable by-product. This study is concerned with the NO x control technology of choice for pulverized coal fired boilers, ?in-furnace NO x control,? which includes: staged low-NO x burners, reburning, selective non-catalytic reduction (SNCR) and hybrid approaches (e.g., reburning with SNCR). The program has two primary objectives: 1) To improve the performance of ?in-furnace? NO x control processes. 2) To devise new, or improve existing, approaches for maximum ?in-furnace? NO x control and minimum unburned carbon. The program involves: 1) fundamental studies at laboratory- and bench-scale to define NO reduction mechanisms in flames and reburning jets; 2) laboratory experiments and computer modeling to improve our two-phase mixing predictive capability; 3) evaluation of commercial low-NO x burner fuel injectors to develop improved designs, and 4) demonstration of coal injectors for reburning and low-NO x burners at commercial scale. The specific objectives of the two-phase program are to: 1 Conduct research to better understand the interaction of heterogeneous chemistry and two phase mixing on NO reduction processes in pulverized coal combustion. 2 Improve our ability to predict combusting coal jets by verifying two phase mixing models under conditions that simulate the near field of low-NO x burners. 3 Determine the limits on NO control by in-furnace NO x control technologies as a function of furnace design and coal type. 5 Develop and demonstrate improved coal injector designs for commercial low-NO x burners and coal reburning systems. 6 Modify the char burnout model in REI?s coal combustion code to take account of recently obtained fundamental data on char reactivity during the late stages of burnout. This will improve our ability to predict carbon burnout with low-NO x firing systems.

A.F. SAROFIM; BROWN UNIVERSITY. R.A. LISAUSKAS; D.B. RILEY, INC.; E.G. EDDINGS; J. BROUWER; J.P. KLEWICKI; K.A. DAVIS; M.J. BOCKELIE; M.P. HEAP; REACTION ENGINEERING INTERNATIONAL. D.W. PERSHING; UNIVERSITY OF UTAH. R.H. HURT

1998-01-01T23:59:59.000Z

194

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

E-Print Network (OSTI)

buildings/appliance_standards/residential/cac_heatp umps_buildings/appliance_standards/residential/fb_tsd_09 07.htmlof Energy Efficiency Standards and Labeling Programs, LBNL

Letschert, Virginie

2010-01-01T23:59:59.000Z

195

Modeling Thermal-Hydrologic Processes for a Heated Fractured Rock System: Impact of a Capillary-Pressure Maximum  

E-Print Network (OSTI)

drift-scale thermal test at Yucca Mountain, Nevada. Lawrencemechanical analyses of the Yucca Mountain Drift Scale Test–waste repository at Yucca Mountain, Nevada. The modeling

Sun, Y.; Buscheck, T. A.; Lee, K. H.; Hao, Y.; James, S. C.

2010-01-01T23:59:59.000Z

196

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

E-Print Network (OSTI)

Gas and LPG consumption by 2030 The methodology results inin natural gas consumption by 2030 resulting from upcomingthe 2008- 2013 trend to 2030. Based on these assumptions,

Letschert, Virginie

2010-01-01T23:59:59.000Z

197

Modeling Thermal-Hydrologic Processes for a Heated Fractured Rock System: Impact of a Capillary-Pressure Maximum  

E-Print Network (OSTI)

Tsang, Y.W. : Modeling the thermal-hydrologic processes in aanalyses of heterogeneity and thermal-loading factors for a2005 Lin, W. , Sun, Y. : Thermal hydrological processes in

Sun, Y.; Buscheck, T. A.; Lee, K. H.; Hao, Y.; James, S. C.

2010-01-01T23:59:59.000Z

198

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

E-Print Network (OSTI)

The US Department of Energy (US DOE) has placed lighting andThe U.S. Department of Energy (U.S. DOE) has placed lightingfr_tsd.html U.S. Department of Energy - Energy Efficiency &

Letschert, Virginie

2010-01-01T23:59:59.000Z

199

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

E-Print Network (OSTI)

appliance_standards/residential/heating_p roducts_fr_appliance_standards/residential/cac_heatp umps_new_buildings/appliance_standards/residential/fb_tsd_09 07.html

Letschert, Virginie

2010-01-01T23:59:59.000Z

200

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

E-Print Network (OSTI)

US to achieve 18% reduction in its electricity demand compared to the base case by 2030 and 11% in Natural Gas and LPG consumption.

Letschert, Virginie

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Modeling Thermal-Hydrologic Processes for a Heated Fractured Rock System: Impact of a Capillary-Pressure Maximum  

E-Print Network (OSTI)

Fig. 10b, c, d). Heat pipes can result from thethe temperature gradient in the heat- pipe zone is minimal,to the cool end of the heat pipe, and the liquid-phase ?ux

Sun, Y.; Buscheck, T. A.; Lee, K. H.; Hao, Y.; James, S. C.

2010-01-01T23:59:59.000Z

202

Modeling Thermal-Hydrologic Processes for a Heated Fractured Rock System: Impact of a Capillary-Pressure Maximum  

E-Print Network (OSTI)

Resistance Temperature Detector (RTD) boreholes. As shown inHistories For a given RTD sensor, the simulated borehole

Sun, Y.; Buscheck, T. A.; Lee, K. H.; Hao, Y.; James, S. C.

2010-01-01T23:59:59.000Z

203

A Simple Empirical Model for Predicting the Decay of Tropical Cyclone Winds after Landfall  

Science Conference Proceedings (OSTI)

An empirical model for predicting the maximum wind of landfalling tropical cyclones is developed. The model is based upon the observation that the wind speed decay rate after landfall is proportional to the wind speed. Observations also indicate ...

John Kaplan; Mark DeMaria

1995-11-01T23:59:59.000Z

204

Development of Rail Temperature Prediction Model SUMMARY  

E-Print Network (OSTI)

Preventing track buckling is important to the railroad industry’s goal of operational safety. It is a common practice for railroads to impose slow orders during hot weather when the risk of track buckling is high. Numerous factors affect track buckling, but the instantaneous rail temperatures and stress-free (neutral) rail temperatures are the most critical factors. Unfortunately, neither of these two temperatures is easily obtainable. Decisions for slow orders are often based on an arbitrary, ambient temperature limit. The Federal Railroad Administration (FRA) Office of Research and Development has initiated a research project to develop a model for predicting rail temperatures based on real-time meteorological forecast data. The rail temperature prediction model is based on the heat transfer process of a rail exposed to the sun. In developing such a model, a rail-weather station was established, composed of a portable weather station and a short segment of rail track with temperature sensors installed on both rails. The model has proven to be able to predict the maximum rail temperature within a few degrees and within 30 minutes of the actual time when the maximum rail temperature occurs during the day. The model is being validated for three locations where real-time weather data and rail temperature are collected. A prototype webbased

unknown authors

2008-01-01T23:59:59.000Z

205

Compiling for time predictability  

Science Conference Proceedings (OSTI)

Within the T-CREST project we work on hardware/software architectures and code-generation strategies for time-predictable embedded and cyber-physical systems. In this paper we present the single-path code generation approach that we plan to explore and ... Keywords: compilers, real-time systems, time predictability, worst-case execution-time analysis

Peter Puschner; Raimund Kirner; Benedikt Huber; Daniel Prokesch

2012-09-01T23:59:59.000Z

206

Locality phase prediction  

Science Conference Proceedings (OSTI)

As computer memory hierarchy becomes adaptive, its performance increasingly depends on forecasting the dynamic program locality. This paper presents a method that predicts the locality phases of a program by a combination of locality profiling and run-time ... Keywords: dynamic optimization, locality analysis and optimization, phase hierarchy, program phase analysis and prediction, reconfigurable architecture

Xipeng Shen; Yutao Zhong; Chen Ding

2004-12-01T23:59:59.000Z

207

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

NLE Websites -- All DOE Office Websites (Extended Search)

and 43% for diesel engines. Estimates for potential improvements are up to 45% for gasoline and 60% for diesel engines. These numbers represent significant fuel economy...

208

ENSO Prediction with Markov Models: The Impact of Sea Level  

Science Conference Proceedings (OSTI)

A series of seasonally varying linear Markov models are constructed in a reduced multivariate empirical orthogonal function (MEOF) space of observed sea surface temperature, surface wind stress, and sea level analysis. The Markov models are ...

Yan Xue; Ants Leetmaa; Ming Ji

2000-02-01T23:59:59.000Z

209

A Methodology Based on Formal Methods for Predicting the Impact  

E-Print Network (OSTI)

. In practice, transition costs limit the actual exploitability of low power states and make it necessary if they provide positive performance, inactive otherwise. Transitions among power states are characterized with a simple example of a two-state power- manageable system with shutdown transitions triggered by external

Aldini, Alessandro

210

GENII dose calculations for offsite maximum individual and populations from Plutonium Finishing Plant  

Science Conference Proceedings (OSTI)

Document describes the potential dose consequences to the offsite maximum individual and population for ground and stack level releases at the offsite receptors from the Plutonium Finishing Plant.

Nguyen, L.V.

1995-09-29T23:59:59.000Z

211

Use of Bayesian Merging Techniques in a Multimodel Seasonal Hydrologic Ensemble Prediction System for the Eastern United States  

Science Conference Proceedings (OSTI)

Skillful seasonal hydrologic predictions are useful in managing water resources, preparing for droughts and their impacts, energy planning, and many other related sectors. In this study, a seasonal hydrologic ensemble prediction system is ...

Lifeng Luo; Eric F. Wood

2008-10-01T23:59:59.000Z

212

On Prediction of EOP  

E-Print Network (OSTI)

Two methods of prediction of the Pole coordinates and TAI-UTC were tested -- extrapolation of the deterministic components and ARIMA. It was found that each of these methods is most effective for certain length of prognosis. For short-time prediction ARIMA algorithm yields more accurate prognosis, and for long-time one extrapolation is preferable. So, the combined algorithm is being used in practice of IAA EOP Service. The accuracy of prognosis is close to accuracy of IERS algorithms. For prediction of nutation the program KSV-1996-1 by T. Herring is being used.

Malkin, Z

2009-01-01T23:59:59.000Z

213

Tropical observability and predictability  

E-Print Network (OSTI)

Many studies have investigated tropical data assimilation in the context of global models or specifically for tropical cyclones, but relatively few have focused on the mesoscale predictability and observability of the ...

Whitcomb, Timothy Robert

2008-01-01T23:59:59.000Z

214

Maximum likelihood blind image separation using nonsymmetrical half-plane Markov random fields  

Science Conference Proceedings (OSTI)

This paper presents a maximum likelihood approach for blindly separating linear instantaneous mixtures of images. The spatial autocorrelation within each image is described using non-symmetrical half-plane (NSHP) Markov random fields in order to simplify ... Keywords: blind source separation (BSS), maximum likelihood approach, nonstationary sources, nonsymmetrical half-plane (NSHP) Markov random fields

Rima Guidara; Shahram Hosseini; Yannick Deville

2009-11-01T23:59:59.000Z

215

The greedy algorithm for domination in graphs of maximum degree 3  

Science Conference Proceedings (OSTI)

We show that for a connected graph with n nodes and e edges and maximum degree at most 3, the size of the dominating set found by the greedy algorithm is at most 10n - 2e/13 if e ? 11/10n, 11n - ... Keywords: algorithms, dominating set, maximum size

Suzanne M. Seager

2004-01-01T23:59:59.000Z

216

A Note on the Parameterized Complexity of Unordered Maximum Tree Orientation  

E-Print Network (OSTI)

A Note on the Parameterized Complexity of Unordered Maximum Tree Orientation Sebastian B University, 41296 G¨oteborg, Sweden ptr@chalmers.se Abstract In the Unordered Maximum Tree Orientation problem, a set P of paths in a tree and a parameter k is given, and we want to orient the edges

Damaschke, Peter

217

Maximum-Power-Point Tracking Method of Photovoltaic Using Only Single Current Sensor  

E-Print Network (OSTI)

is proportional to its short current. One of them has a monitor photovoltaic cell to detect its shortMaximum-Power-Point Tracking Method of Photovoltaic Using Only Single Current Sensor Toshihiko» «Solar cell systems» Abstract This paper describes a novel strategy of maximum-power-point tracking

Fujimoto, Hiroshi

218

Original article: Comparison of maximum peak power tracking algorithms for a small wind turbine  

Science Conference Proceedings (OSTI)

This paper reviews maximum power point tracking (MPPT) algorithms dedicated for small wind turbines (SWTs). Many control strategies with different features are available and it is very important to select proper one in order to achieve best performance ... Keywords: Maximum power point tracking (MPPT), PMSG, Small wind turbine (SWT)

R. Kot, M. Rolak, M. Malinowski

2013-05-01T23:59:59.000Z

219

Toward a Methodology to Investigate the Downstream Flood Hazards on the American River due to Changes in Probable Maximum Flood due to Effects of Artificial Reservoir Size and Land-Use/Land-Cover Patterns  

Science Conference Proceedings (OSTI)

Recent research in mesoscale hydrology suggests that the size of the reservoirs and the land-use/land-cover (LULC) patterns near them impact the extreme weather [e.g., probable maximum flood (PMF)]. A key question was addressed by W. Yigzaw et al.:...

Alfred J. Kalyanapu; A. K. M. Azad Hossain; Jinwoo Kim; Wondmagegn Yigzaw; Faisal Hossain; C. K. Shum

2013-10-01T23:59:59.000Z

220

Towards methodology to investigate the downstream flood hazards on American River due to changes in Probable Maximum Flood due to effects of Artificial Reservoir Size and Land Use/Land Cover Patterns  

Science Conference Proceedings (OSTI)

Recent research in mesoscale hydrology suggests that the size of the reservoirs and the land use/land cover (LULC) patterns near them impact the extreme weather (such as probable maximum flood or PMF). A key question was addressed by Yigzaw et al.,...

Alfred J. Kalyanapu; A. K. M. Azad Hossain; Jinwoo Kim; Wondmagegn Yigzaw; Faisal Hossain; C. K. Shum

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Data Clustering Reveals Climate Impacts on Local Wind Phenomena  

Science Conference Proceedings (OSTI)

The authors demonstrate the utility of k-means clustering for identifying relationships between winds at turbine heights and climate oscillations, thereby developing a method suited for predicting the impacts of climate change on wind resources. ...

Andrew Clifton; Julie K. Lundquist

2012-08-01T23:59:59.000Z

222

Global Health and Economic Impacts of Future Ozone Pollution  

E-Print Network (OSTI)

We assess the human health and economic impacts of projected 2000-2050 changes in ozone pollution using the MIT Emissions Prediction and Policy Analysis-Health Effects (EPPA-HE) model, in combination with results from the ...

Webster, Mort D.

223

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

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.

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

2011-12-23T23:59:59.000Z

224

"Table A52. Nonswitchable Minimum Requirements and Maximum Consumption"  

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

2. Nonswitchable Minimum Requirements and Maximum Consumption" 2. Nonswitchable Minimum Requirements and Maximum Consumption" " Potential by Census Region, 1991" " (Estimates in Physical Units)" ,,,,"RSE" ,"Actual","Minimum","Maximum","Row" "Type of Energy","Consumption","Consumption(a)","Consumption(b)","Factors" "RSE Column Factors:",1,1.2,0.8 ," Total United States" ,"-","-","-" "Electricity Receipts(c) (million kilowatthours)",718480,701478,766887,2 "Natural Gas (billion cubic feet)",5345,3485,5887,2 "Distillate Fuel Oil (thousand barrels)",23885,19113,201081,3.7 "Residual Fuel Oil (thousand barrels)",65837,36488,201921,2.6

225

BRYAN LOVELL Energy supply, demand and impact  

E-Print Network (OSTI)

BRYAN LOVELL Energy supply, demand and impact Now it is Britain's turn to think harder, says Brian both are true. Most predict that fossil fuels must remain a significant part of our energy supply, Britain has had a comfortable and profitable respite from anxieties about security of energy supply. Now

Cambridge, University of

226

Predictive Maintenance Assessment Guidelines  

Science Conference Proceedings (OSTI)

This document is the third in a series of guidelines designed to help electric power utilities develop programs that take advantage of diagnostic technologies used to detect problems in machinery. The PDM Assessment Guidelines provide the procedures necessary to plan and implement a plant wide predictive maintenance program.

1997-12-02T23:59:59.000Z

227

Predicting methane fermentation biodegradability  

Science Conference Proceedings (OSTI)

Estimation of the feedstock digestibility in cows by procedures developed by Van Soest was performed. By feeding cows feedstuff of different lignin content, cell wall digestibility can be estimated. In this article a digestibility model has been employed and tested along with other models for the rapid prediction of substrate methane fermentation biodegradability.

Chandler, J.A.; Jewell, W.J.; Gossett, J.M.; Van Soest, P.J.; Robertson, J.B.

1980-01-01T23:59:59.000Z

228

Small Particles, Big Impact  

NLE Websites -- All DOE Office Websites (Extended Search)

Small Particles, Big Impact Small Particles, Big Impact Small-scale effects of Aerosols Add up Over Time August 24, 2011 | Tags: Climate Research, Earth Sciences, Environmental...

229

Dynamic seasonal prediction and predictability of the monsoon  

E-Print Network (OSTI)

15 Dynamic seasonal prediction and predictability of the monsoon In-Sik Kang and Jagadish Shukla In this chapter we present a historical review of the hypothesis of boundary forced predictability of the monsoon and the limitations and challenges in dynamical seasonal prediction of monsoon rainfall. We also present an assessment

Kang, In-Sik

230

Recent Trends of Minimum and Maximum Surface Temperatures over Eastern Africa  

Science Conference Proceedings (OSTI)

This study investigated recent trends in the mean surface minimum and maximum air temperatures over eastern Africa by use of both graphical and statistical techniques. Daily records for 71 stations for the period 1939–92 were used.

S. M. King’uyu; L. A. Ogallo; E. K. Anyamba

2000-08-01T23:59:59.000Z

231

Inertial measurement unit calibration using Full Information Maximum Likelihood Optimal Filtering  

E-Print Network (OSTI)

The robustness of Full Information Maximum Likelihood Optimal Filtering (FIMLOF) for inertial measurement unit (IMU) calibration in high-g centrifuge environments is considered. FIMLOF uses an approximate Newton's Method ...

Thompson, Gordon A. (Gordon Alexander)

2005-01-01T23:59:59.000Z

232

Wind Mixing and Restratification in a Lake near the Temperature of Maximum Density  

Science Conference Proceedings (OSTI)

The cooling of a freshwater take provides an opportunity for studying wind mixing and restratification under the peculiar conditions associated with a density maximum. The concepts are explored using a mixing-layer model that incorporates both ...

David M. Farmer; Eddy Carmack

1981-11-01T23:59:59.000Z

233

Tropical Cyclone Genesis Factors in Simulations of the Last Glacial Maximum  

Science Conference Proceedings (OSTI)

Large-scale environmental factors that favor tropical cyclogenesis are calculated and examined in simulations of the Last Glacial Maximum (LGM) from the Paleoclimate Modelling Intercomparison Project Phase 2 (PMIP2). Despite universally colder ...

Robert L. Korty; Suzana J. Camargo; Joseph Galewsky

2012-06-01T23:59:59.000Z

234

Cloud and Water Vapor Feedbacks in a Vertical Energy-Balance Model with Maximum Entropy Production  

Science Conference Proceedings (OSTI)

A vertically one-dimensional model is developed with cloud fraction constrained by the maximum entropy production (MEP) principle. The model reasonably reproduces the global mean climate with its surface temperature, radiation and heat fluxes, ...

Biao Wang; Teruyuki Nakajima; Guangyu Shi

2008-12-01T23:59:59.000Z

235

Energy and Enstrophy Spectra of Geostrophic Turbulent Flows Derived from a Maximum Entropy Principle  

Science Conference Proceedings (OSTI)

The principle of maximum entropy is used to obtain energy and enstrophy spectra as well as average relative vorticity fields in the context of geostrophic turbulence on a rotating sphere. In the unforced-undamped (inviscid) case, the maximization ...

W. T. M. Verkley; Peter Lynch

2009-08-01T23:59:59.000Z

236

A New Perspective on Recent Global Warming: Asymmetric Trends of Daily Maximum and Minimum Temperature  

Science Conference Proceedings (OSTI)

Monthly mean maximum and minimum temperatures for over 50% (10%) of the Northern (Southern) Hemisphere landmass, accounting for 37% of the global landmass, indicate that the rise of the minimum temperature has occurred at a rate three times that ...

Thomas R. Karl; Richard W. Knight; Kevin P. Gallo; Thomas C. Peterson; Philip D. Jones; George Kukla; Neil Plummer; Vyacheslav Razuvayev; Janette Lindseay; Robert J. Charlson

1993-06-01T23:59:59.000Z

237

Recent Maximum Temperature Anomalies at Albany, New York: Fact or Fiction  

Science Conference Proceedings (OSTI)

An analysis has been conducted of a suspected daily maximum temperature (DMT) bias introduced by the replacement of the National Weather Service (NWS) HO-63 bygrothermograph with a modernized HO-83 instrument at Albany, New York, on 6 February ...

Ronald W. Kessler; Lance F. Bosart; Robert S. Gaza

1993-02-01T23:59:59.000Z

238

The Maximum Intensity of Tropical Cyclones in Axisymmetric Numerical Model Simulations  

Science Conference Proceedings (OSTI)

An axisymmetric numerical model is used to evaluate the maximum possible intensity of tropical cyclones. As compared with traditionally formulated nonhydrostatic models, this new model has improved mass and energy conservation in saturated ...

George H. Bryan; Richard Rotunno

2009-06-01T23:59:59.000Z

239

Observational Evidence for Reduction of Daily Maximum Temperature by Croplands in the Midwest United States  

Science Conference Proceedings (OSTI)

Climate model simulations have shown that conversion of natural forest vegetation to croplands in the United States cooled climate. The cooling was greater for daily maximum temperature than for daily minimum temperature, resulting in a reduced ...

Gordon B. Bonan

2001-06-01T23:59:59.000Z

240

Estimating Summer Design Temperatures from Daily Maximum Temperatures in New Mexico  

Science Conference Proceedings (OSTI)

Many climatological locations report only maximum and minimum temperatures. However, in certain applications, such as estimation of design temperatures, the frequency distribution of hourly temperatures is required. For this reason, a method is ...

Kenneth E. Kunkel

1986-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

A mechanism for explaining the maximum intraseasonal oscillation center over the western North Pacific  

Science Conference Proceedings (OSTI)

During late boreal summer (July through October), the intraseasonal oscillation (ISO) exhibits maximum variability over the western North Pacific (WNP) centered in the South China Sea and Philippine Sea, while many numerical models have difficulty ...

Fei Liu; Bin Wang

242

Tropical climate variability from the last glacial maximum to the present  

E-Print Network (OSTI)

This thesis evaluates the nature and magnitude of tropical climate variability from the Last Glacial Maximum to the present. The temporal variability of two specific tropical climate phenomena is examined. The first is the ...

Dahl, Kristina Ariel

2005-01-01T23:59:59.000Z

243

Tropical Cooling at the Last Glacial Maximum: An Atmosphere–Mixed Layer Ocean Model Simulation  

Science Conference Proceedings (OSTI)

The sensitivity of tropical temperature to glacial forcing is examined by using an atmosphere–mixed layer ocean (A–MLO) model to simulate the climate of the last glacial maximum (LGM) following specifications established by the Paleoclimate ...

Anthony J. Broccoli

2000-03-01T23:59:59.000Z

244

On the Maximum Exospheric Temperature of Hydrogen-Dominated Planetary Atmospheres  

Science Conference Proceedings (OSTI)

It is shown that under static conditions the maximum temperature attainable in the exospheres of hydrogen-dominated planetary atmospheres is of order 105 K when gravitational separation between hydrogen and other elements has occurred, and 104 K ...

G. P. Horedt

1982-06-01T23:59:59.000Z

245

Recent Trends in Maximum and Minimum Temperature Threshold Exceedences in the Northeastern United States  

Science Conference Proceedings (OSTI)

Changes in the annual number of daily maximum and minimum temperature threshold exceedences between 1951 and 1993 are assessed at a network of 22 primarily rural sites in the northeastern United States. After adjusting the annual time series for ...

Arthur T. DeGaetano

1996-07-01T23:59:59.000Z

246

Wavenumber Analysis of Azimuthally Distributed Data: Assessing Maximum Allowable Gap Size  

Science Conference Proceedings (OSTI)

Performing wavenumber decomposition on azimuthally distributed data such as those in tropical cyclones can be challenging when data gaps exist in the signal. In the literature, ad hoc approaches are found to determine maximum gap size beyond which ...

Sylvie Lorsolo; Altu? Aksoy

2012-06-01T23:59:59.000Z

247

An Interactive Method for Estimating Maximum Hailstone Size from Forecast Soundings  

Science Conference Proceedings (OSTI)

A diagnostic/prognostic sounding analysis package is presented to aid operational forecasters. First, a diagnostic sounding analysis is shown which computes standard thermodynamic parameters while including a scheme to estimate the maximum hail ...

James T. Moore; John P. Pino

1990-09-01T23:59:59.000Z

248

Systematic Biases in Manual Observations of Daily Maximum and Minimum Temperature  

Science Conference Proceedings (OSTI)

The authors demonstrate that manual observations of daily maximum and minimum temperature are strongly biased toward temperatures ending in certain digits. The nature and severity of these biases are quantified using standard statistical methods. ...

Jon M. Nese

1994-05-01T23:59:59.000Z

249

Performance of Photovoltaic Maximum Power Point Tracking Algorithms in the Presence of Noise  

E-Print Network (OSTI)

algorithms for stand- alone photovoltaic systems," Solar Energy Materials and Solar Cells, vol. 90, no. 11 of a maximum power point tracker," in IEEE Photovolatic Specialists Conference, 2008, pp. 1­3. [10] W. Wu, N

Odam, Kofi

250

Optimising maximum power output and minimum entropy generation of Atkinson cycle using mutable smart bees algorithm  

Science Conference Proceedings (OSTI)

The purpose of this article is optimising maximum power output (MPO) and minimum entropy generation (MEG) of an Atkinson cycle as a multi-objective constraint thermodynamic problem by a new improved artificial bee colony algorithm which utilises 'mutable ...

Mofid Gorji; Ahmad Mozaffari; Sina Mohammadrezaei Noudeh

2012-07-01T23:59:59.000Z

251

Combining Lagrangian decomposition with an evolutionary algorithm for the knapsack constrained maximum spanning tree problem  

Science Conference Proceedings (OSTI)

We present a Lagrangian decomposition approach for the Knapsack Constrained Maximum Spanning Tree problem yielding upper bounds as well as heuristic solutions. This method is further combined with an evolutionary algorithm to a sequential hybrid approach. ...

Sandro Pirkwieser; Günther R. Raidl; Jakob Puchinger

2007-04-01T23:59:59.000Z

252

A Method to Estimate Missing Daily Maximum and Minimum Temperature Observations  

Science Conference Proceedings (OSTI)

A method to estimate missing daily maximum and minimum temperatures is presented. Temperature estimates are based on departures from daily temperature normals at the three closest stations with similar observation times. Although applied to ...

Arthur T. DeGaetano; Keith L. Eggleston; Warren W. Knapp

1995-02-01T23:59:59.000Z

253

Atlantic Ocean circulation at the last glacial maximum : inferences from data and models  

E-Print Network (OSTI)

This thesis focuses on ocean circulation and atmospheric forcing in the Atlantic Ocean at the Last Glacial Maximum (LGM, 18-21 thousand years before present). Relative to the pre-industrial climate, LGM atmospheric CO? ...

Dail, Holly Janine

2012-01-01T23:59:59.000Z

254

The Influence of Large-Scale Climate Variability on Winter Maximum Daily Precipitation over North America  

Science Conference Proceedings (OSTI)

The generalized extreme value (GEV) distribution is fitted to winter season daily maximum precipitation over North America, with indices representing El Niño–Southern Oscillation (ENSO), the Pacific decadal oscillation (PDO), and the North ...

Xuebin Zhang; Jiafeng Wang; Francis W. Zwiers; Pavel Ya Groisman

2010-06-01T23:59:59.000Z

255

Restarting TMI unit one: social and psychological impacts  

Science Conference Proceedings (OSTI)

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.

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

1983-12-01T23:59:59.000Z

256

An Empirical Model for Predicting the Decay of Tropical Cyclone Wind Speed after Landfall over the Indian Region  

Science Conference Proceedings (OSTI)

An empirical model for predicting the maximum surface wind speed associated with a tropical cyclone after crossing the east coast of India is described. The model parameters are determined from the database of 19 recent cyclones. The model is ...

S. K. Roy Bhowmik; S. D. Kotal; S. R. Kalsi

2005-01-01T23:59:59.000Z

257

Distribution substation load impacts of residential air conditioner load control  

SciTech Connect

An ongoing experiment to monitor the substation level load impacts of end-use load control is described. An overview of the data acquisition system, experimental procedures and analysis techniques are provided. Results of the 1983 and 1984 experiments demonstrate the value of aggregate load impact monitoring as a means of verifying load research results, calculating the diversity of end-use loads, and predicting the impacts of load management on the transmission and distribution systems.

Heffner, G.C.; Kaufman, D.A.

1985-07-01T23:59:59.000Z

258

Predicting Individual Fuel Economy  

SciTech Connect

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.

Lin, Zhenhong [ORNL; Greene, David L [ORNL

2011-01-01T23:59:59.000Z

259

Massive global ozone loss predicted following regional nuclear conflict  

E-Print Network (OSTI)

Massive global ozone loss predicted following regional nuclear conflict Michael J. Mills* , Owen B a chemistry-climate model and new estimates of smoke produced by fires in contemporary cities to calculate the impact on stratospheric ozone of a regional nuclear war between developing nuclear states involving 100

260

Meteorological phenomena forecast using data mining prediction methods  

Science Conference Proceedings (OSTI)

The occurrence of various meteorological phenomena, such as fog or low cloud cover, has significant impact on many human activities as air or ship transport operations. The management of air traffic at the airports was the main reason to design effective ... Keywords: decision trees, meteorological data, neural networks, prediction

František Babi?; Peter Bednár; František Albert; Ján Parali?; Juraj Bartók; Ladislav Hluchý

2011-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Prediction of Web Page Accesses by Proxy Server Log  

Science Conference Proceedings (OSTI)

As the population of web users grows, the variety of user behaviors on accessing information also grows, which has a great impact on the network utilization. Recently, many efforts have been made to analyze user behaviors on the WWW. In this paper, we ... Keywords: WWW, data mining, prediction, proxy server log, suffix tree, user behavior

Yi-Hung Wu; Arbee L. P. Chen

2002-05-01T23:59:59.000Z

262

LIFETIME PREDICTION FOR MODEL 9975 O-RINGS IN KAMS  

SciTech Connect

The Savannah River Site (SRS) is currently storing plutonium materials in the K-Area Materials Storage (KAMS) facility. The materials are packaged per the DOE 3013 Standard and transported and stored in KAMS in Model 9975 shipping packages, which include double containment vessels sealed with dual O-rings made of Parker Seals compound V0835-75 (based on Viton{reg_sign} GLT). The outer O-ring of each containment vessel is credited for leaktight containment per ANSI N14.5. O-ring service life depends on many factors, including the failure criterion, environmental conditions, overall design, fabrication quality and assembly practices. A preliminary life prediction model has been developed for the V0835-75 O-rings in KAMS. The conservative model is based primarily on long-term compression stress relaxation (CSR) experiments and Arrhenius accelerated-aging methodology. For model development purposes, seal lifetime is defined as a 90% loss of measurable sealing force. Thus far, CSR experiments have only reached this target level of degradation at temperatures {ge} 300 F. At lower temperatures, relaxation values are more tolerable. Using time-temperature superposition principles, the conservative model predicts a service life of approximately 20-25 years at a constant seal temperature of 175 F. This represents a maximum payload package at a constant ambient temperature of 104 F, the highest recorded in KAMS to date. This is considered a highly conservative value as such ambient temperatures are only reached on occasion and for short durations. The presence of fiberboard in the package minimizes the impact of such temperature swings, with many hours to several days required for seal temperatures to respond proportionately. At 85 F ambient, a more realistic but still conservative value, bounding seal temperatures are reduced to {approx}158 F, with an estimated seal lifetime of {approx}35-45 years. The actual service life for O-rings in a maximum wattage package likely lies higher than the estimates due to the conservative assumptions used for the model. For lower heat loads at similar ambient temperatures, seal lifetime is further increased. The preliminary model is based on several assumptions that require validation with additional experiments and longer exposures at more realistic conditions. The assumption of constant exposure at peak temperature is believed to be conservative. Cumulative damage at more realistic conditions will likely be less severe but is more difficult to assess based on available data. Arrhenius aging behavior is expected, but non-Arrhenius behavior is possible. Validation of Arrhenius behavior is ideally determined from longer tests at temperatures closer to actual service conditions. CSR experiments will therefore continue at lower temperatures to validate the model. Ultrasensitive oxygen consumption analysis has been shown to be useful in identifying non-Arrhenius behavior within reasonable test periods. Therefore, additional experiments are recommended and planned to validate the model.

Hoffman, E.; Skidmore, E.

2009-11-24T23:59:59.000Z

263

Impact of ASCAT Scatterometer Wind Observations on the High-Resolution Limited-Area Model (HIRLAM) within an Operational Context  

Science Conference Proceedings (OSTI)

Denial experiments, also denoted observing system experiments (OSEs), are used to determine the impact of an observing system on the forecast quality of a numerical weather prediction (NWP) model. When the impact is neutral or positive, new ...

Siebren de Haan; Gert-Jan Marseille; Paul de Valk; John de Vries

2013-04-01T23:59:59.000Z

264

Environmental Impacts of Repository  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

~~"'"""""""""'l.. _ _ 4 Environmental Impacts of Repository Construction, Operation and Monitoring, and Closure 4-iii Environmental Impacts of Repository Construction, Operations, Monitoring, and Closure TABLE OF CONTENTS Section Page 4. Environmental Impacts of Repository Construction, Operations, Monitoring, and Closure ..............4-1 4.1 Preclosure Environmental Impacts of Construction, Operations, Monitoring, and Closure of a Repository ...............................................................................................................................4-3 4.1.1 Impacts to Land Use and Ownership .......................................................................................4-4

265

Initial Condition Sensitivity and Predictability of a Severe Extratropical Cyclone Using a Moist Adjoint  

Science Conference Proceedings (OSTI)

The sensitivity and predictability of a rapidly-developing extratropical cyclone, ‘Xynthia’, that had a severe impact on Europe is explored using a high-resolution moist adjoint modeling system. The adjoint diagnostics indicate that the intensity ...

James D. Doyle; Clark Amerault; Carolyn A. Reynolds; P. Alex Reinecke

266

Two Tales of Initializing Decadal Climate Prediction Experiments with the ECHAM5/MPI-OM Model  

Science Conference Proceedings (OSTI)

This paper investigates the impact of different ocean initialization strategies on the forecast skill of decadal prediction experiments performed with the ECHAM5/Max Planck Institute Ocean Model (MPI-OM) coupled model. The ocean initializations ...

Daniela Matei; Holger Pohlmann; Johann Jungclaus; Wolfgang Müller; Helmuth Haak; Jochem Marotzke

2012-12-01T23:59:59.000Z

267

Predicting velocities and turbulent exchange in isolated street canyons and at a neighborhood scale  

E-Print Network (OSTI)

Urban planners need a fast, simple model to assess the impact of early design phase iterations of neighborhood layout on the microclimate. Specifically, this model should be able to predict the expected urban heat island ...

Hall, Terianne C

2010-01-01T23:59:59.000Z

268

Variance and Predictability of Precipitation at Seasonal-to-Interannual Timescales  

Science Conference Proceedings (OSTI)

A series of atmospheric general circulation model simulations, spanning a total of several thousand years, is used to assess the impact of land surface and ocean boundary conditions on the seasonal-to-interannual variability and predictability of ...

Randal D. Koster; Max J. Suarez; Mark Heiser

2000-02-01T23:59:59.000Z

269

Sea Surface Temperature Feedback Extends the Predictability of Tropical Intraseasonal Oscillation  

Science Conference Proceedings (OSTI)

The possible impacts of different sea surface temperature (SST) configurations on the predictability of the boreal summer tropical intraseasonal oscillation (TISO) are assessed with a series of ensemble forecasts. The five different lower ...

Xiouhua Fu; Bo Yang; Qing Bao; Bin Wang

2008-02-01T23:59:59.000Z

270

Probabilistic Predictions of Precipitation Using the ECMWF Ensemble Prediction System  

Science Conference Proceedings (OSTI)

The forecast skill of the European Centre for Medium-Range Weather Forecasts Ensemble Prediction System (EPS) in predicting precipitation probabilities is discussed. Four seasons are analyzed in detail using signal detection theory and ...

R. Buizza; A. Hollingsworth; F. Lalaurette; A. Ghelli

1999-04-01T23:59:59.000Z

271

Short-Term Climate Extremes: Prediction Skill and Predictability  

Science Conference Proceedings (OSTI)

Forecasts for extremes in short-term climate (monthly means) are examined to understand the current prediction capability and potential predictability. This study focuses on 2-m surface temperature and precipitation extremes over North and South ...

Emily J. Becker; Huug van den Dool; Malaquias Peña

2013-01-01T23:59:59.000Z

272

Microcontroller Servomotor for Maximum Effective Power Point for Solar Cell System  

E-Print Network (OSTI)

In this paper a Maximum Power point (MPP) tracking algorithm is developed using dual-axis servomotor feedback tracking control system. An efficient and accurate servomotor system is used to increase the system efficiency and reduces the solar cell system coast. The proposed automatic servo control system based on PIC microcontroller which is used to control the photovoltaic (PV) modules. This servo system will track the sun rays in order to get MPP during the day using direct radiation. A photo cell is used to sense the direct sun radiation and feedback a signal to the PIC microcontroller, and then the decisions are made through the microcontroller and send a command to the servomotor system to achieve maximum power generation. The proposed system is demonstrated through simulation results. Finally, using the proposed system based on PIC microcontroller, the system will be more efficient, minimum cost, and maximum power transfer is obtained.

Al-Khalidy, M.; Al-Rawi, O.; Noaman, N.

2010-01-01T23:59:59.000Z

273

Spectral Modeling of SNe Ia Near Maximum Light: Probing the Characteristics of Hydro Models  

E-Print Network (OSTI)

We have performed detailed NLTE spectral synthesis modeling of 2 types of 1-D hydro models: the very highly parameterized deflagration model W7, and two delayed detonation models. We find that overall both models do about equally well at fitting well observed SNe Ia near to maximum light. However, the Si II 6150 feature of W7 is systematically too fast, whereas for the delayed detonation models it is also somewhat too fast, but significantly better than that of W7. We find that a parameterized mixed model does the best job of reproducing the Si II 6150 line near maximum light and we study the differences in the models that lead to better fits to normal SNe Ia. We discuss what is required of a hydro model to fit the spectra of observed SNe Ia near maximum light.

E. Baron; S. Bongard; David Branch; Peter H. Hauschildt

2006-03-03T23:59:59.000Z

274

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

Science Conference Proceedings (OSTI)

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.

Byrne, Raymond Harry; Silva Monroy, Cesar Augusto.

2012-12-01T23:59:59.000Z

275

Scientific highlights of the Study of Travelling Interplanetary Phenomena (STIP) intervals during the SMY/SMA (Solar Maximum Year/Solar Maximum Analysis)  

Science Conference Proceedings (OSTI)

The STIP Project was instrumental in the coordination of multi-disciplinary ground-and -space-based synoptic observations and analysis of solar/interplanetary events during the period covered by the Solar Maximum Year and Solar Maximum Analysis. Eight STIP Intervals for coordinated studies were conducted during the SMY/SMA period starting with STIP Interval VII (August 1979) and ending with Interval XIV (20 May - 20 July 1982). These results increased our understanding and knowledge of a variety of phenomena including coronal mass ejections (CMEs) and their in situ shock wave detections within 1 AU; shock physics; acceleration of particles at variously classified shocks by V x B drift and Fermi mechanisms; magnetic clouds; interplanetary disturbances; x-ray imaging of preflare and flare-generated CMEs, and white light imaging of CMEs during SMY by both spacecraft and ground-based instruments. In addition, scientific progress was made on the tracking of disturbances (initiated by flares, eruptive prominences, and coronal holes) into interplanetary space as well as some of their consequences as observed at 1 AU and throughout the heliosphere.

Dryer, M.; Shea, M.A.

1986-01-01T23:59:59.000Z

276

EA-1372: Finding of No Significant Impact | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Finding of No Significant Impact Finding of No Significant Impact EA-1372: Finding of No Significant Impact Idaho National Enginerring and Environmental Laboratory Wildland Fire Management Environmental Assessment DOE prepared an environmental assessment (EA) for wildland fire management activites on the Idaho National Enginerring and Environmental Laboratory (INEEL). The EA was developed to evaluate wildland fire management options for pre-fire, fire suppression, and post fire activities. Those activities have an important rol ein minimizing the conversion of the native sagebrush steppe ecosystem found on the INEEL to non-native weeds. Four alternative management approaches were analyzed: Alternative 1-maximum fire protection; Alternative 2-balanced fire protections; Alternative 3- protect

277

EA-1352: Finding of No Signficant Impact | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

52: Finding of No Signficant Impact 52: Finding of No Signficant Impact EA-1352: Finding of No Signficant Impact Energy Conservation Program for Consumer Products The Energy Policy and Conservation Act, as amended, specifies that the Department must consider, for new or amended conservation standards, those standards that "achieve the maximum improvement in energy efficiency which the Secretary determines is technologically feasible and economically justified" and which will "result in significant conservation of energy." Accordingly, DOE's proposed rule would amend the energy conservation standard for residential central air conditioners and heat pumps. Consistent with this requirement, DOE's purpose in the proposed action is to reduce the consumption of energy used by central air

278

Predictive energy management for hybrid electric vehicles -Prediction horizon and  

E-Print Network (OSTI)

Predictive energy management for hybrid electric vehicles - Prediction horizon and battery capacity of a combined hybrid electric vehicle. Keywords: Hybrid vehicles, Energy Management, Predictive control, Optimal on a sliding window in order to minimize the hybrid vehicle fuel consumption. For real time implementation

Paris-Sud XI, Université de

279

What is the maximum rate at which entropy of a string can increase?  

Science Conference Proceedings (OSTI)

According to Susskind, a string falling toward a black hole spreads exponentially over the stretched horizon due to repulsive interactions of the string bits. In this paper such a string is modeled as a self-avoiding walk and the string entropy is found. It is shown that the rate at which information/entropy contained in the string spreads is the maximum rate allowed by quantum theory. The maximum rate at which the black hole entropy can increase when a string falls into a black hole is also discussed.

Ropotenko, Kostyantyn [State Administration of Communications, Ministry of Transport and Communications of Ukraine 22, Khreschatyk, 01001, Kyiv (Ukraine)

2009-03-15T23:59:59.000Z

280

Dynamical Predictability of Monthly Means  

Science Conference Proceedings (OSTI)

We have attempted to determine the theoretical upper limit of dynamical predictability of monthly means for prescribed nonfluctuating external forcings. We have extended the concept of “classical” predictability, which primarily refers to the ...

J. Shukla

1981-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Reliability of ENSO Dynamical Predictions  

Science Conference Proceedings (OSTI)

In this study, ensemble predictions were constructed using two realistic ENSO prediction models and stochastic optimals. By applying a recently developed theoretical framework, the authors have explored several important issues relating to ENSO ...

Youmin Tang; Richard Kleeman; Andrew M. Moore

2005-06-01T23:59:59.000Z

282

The ECPC Coupled Prediction Model  

Science Conference Proceedings (OSTI)

This paper presents a new Experimental Climate Prediction Center (ECPC) Coupled Prediction Model (ECPM). The ECPM includes the Jet Propulsion Laboratory (JPL) version of the Massachusetts Institute of Technology (MIT) ocean model coupled to the ...

E. Yulaeva; M. Kanamitsu; J. Roads

2008-01-01T23:59:59.000Z

283

Environmental impact directory system: preliminary implementation for geothermal energy  

DOE Green Energy (OSTI)

An Environmental Impact Directory System (EIDS) was proposed as a method for a computerized search of the widely distributed data files and models pertaining to energy-related environmental effects. To define the scope and content of the system, an example was prepared for the case of geothermal energy. The resulting sub-directory is known as GEIDs (Geothermal Environmental Impact Directory System). In preparing or reviewing an Environmental Impact Statement (EIS), the user may employ GEIDS as an extensive checklist to make sure he has taken into account all predictable impacts at any level of severity.

Hess, F.D.; Hall, R.T.; Fullenwider, E.D.

1976-07-01T23:59:59.000Z

284

Achieving maximum spatial diversity with decouple-and-forward relaying in dual-hop OSTBC transmissions  

Science Conference Proceedings (OSTI)

In this letter, we prove that decouple-and-forward (DCF) relaying for dual-hop orthogonal space-time block code (OSTBC) transmissions achieves the maximum diversity order attainable by dual-hop MIMO relaying systems. Decoupling at the relay transforms ... Keywords: OSTBC, decouple-and-forward relaying, diversity order, dual-hop MIMO system, rayleigh fading channels

In-Ho Lee; Dongwoo Kim

2010-03-01T23:59:59.000Z

285

GenDocSum+MCLR: Generic document summarization based on maximum coverage and less redundancy  

Science Conference Proceedings (OSTI)

With the rapid growth of information on the Internet and electronic government recently, automatic multi-document summarization has become an important task. Multi-document summarization is an optimization problem requiring simultaneous optimization ... Keywords: Differential evolution algorithm, Generic document summarization, Less redundancy, Maximum coverage, Optimization model

Rasim M. Alguliev; Ramiz M. Aliguliyev; Makrufa S. Hajirahimova

2012-11-01T23:59:59.000Z

286

Climates at the Last Glacial Maximum: Influence of Model Horizontal Resolution  

Science Conference Proceedings (OSTI)

The climate at the last glacial maximum (LGM) has been simulated using the U.K. Universities Global Atmospheric Modeling Programme (UGAMP) general circulation model (GCM) truncated at total wavenumbers 21, 42, and 63 (T21, T42, and T63) with ...

Buwen Dong; Paul J. Valdes

2000-05-01T23:59:59.000Z

287

Some further investigation on maximum throughput: does network coding really help?  

Science Conference Proceedings (OSTI)

Network coding has been shown to be the solution that allows to reach the theoretical maximum throughput in a capacitated telecommunication network [1]. It has also been shown to be a very appealing and practical alternative to routing-based approaches ...

Eric Gourdin; Yuhui Wang

2012-09-01T23:59:59.000Z

288

The Maximum-Likelihood Property of Estimators of Wave Parameters from Heave, Pitch, and Roll Buoys  

Science Conference Proceedings (OSTI)

It is shown that ocean-wave spectrum parameters obtained from spectra of time series measured with heave, pitch, and roll data buoys are maximum-likelihood (ML) estimators under certain assumptions about the wave field. A modified set of ML ...

Ingrid K. Glad; Harald E. Krogstad

1992-04-01T23:59:59.000Z

289

Why Is There a Tritium Maximum in the Central Equatorial Pacific Thermocline?  

Science Conference Proceedings (OSTI)

It is suggested that the tritium maximum in the central Pacific is caused by two water pathways across the North Equatorial Countercurrent (NECC), one from the central Pacific and the other from the Mindanao Current. It is argued that an interior ...

Zhengyu Liu; Boyin Huang

1998-07-01T23:59:59.000Z

290

Exact algorithms for maximum acyclic subgraph on a superclass of cubic graphs  

Science Conference Proceedings (OSTI)

Finding a maximum acyclic subgraph is on the list of problems that seem to be hard to tackle from a parameterized perspective. We develop two quite efficient algorithms (one is exact, the other parameterized) for (1, n)-graphs, a class containing ...

Henning Fernau; Daniel Raible

2008-02-01T23:59:59.000Z

291

A Technique to Determine the Radius of Maximum Wind of a Tropical Cyclone  

Science Conference Proceedings (OSTI)

A simple technique is developed that enables the radius of maximum wind of a tropical cyclone to be estimated from satellite cloud data. It is based on the characteristic cloud and wind structure of the eyewall of a tropical cyclone, after the ...

France Lajoie; Kevin Walsh

2008-10-01T23:59:59.000Z

292

A variable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system  

Science Conference Proceedings (OSTI)

The power from wind varies depending on the environmental factors. Many methods have been proposed to locate and track the maximum power point (MPPT) of the wind, such as the fuzzy logic (FL), artificial neural network (ANN) and neuro-fuzzy. In this ... Keywords: ANFIS, MPPT, Power generation, Variable speed wind generator, Wind energy

A. Meharrar; M. Tioursi; M. Hatti; A. Boudghène Stambouli

2011-06-01T23:59:59.000Z

293

Probable Maximum Precipitation Study for Wisconsin and Michigan: Volume 2: Workbook and User's Guide  

Science Conference Proceedings (OSTI)

The study provides maps and supporting information on the probable maximum precipitation (PMP) for Wisconsin and Michigan. The refinement of PMP for the study area has typically lowered the PMP from the generalized values in Hydrometeorological Report (HMR) 51. The study followed HMR 51 procedures with some minor changes that apply to other regions.

1993-08-01T23:59:59.000Z

294

Maximum Power Transfer Tracking for a Photovoltaic-Supercapacitor Energy System  

E-Print Network (OSTI)

the power comes from a renewable source such a solar cell (photovoltaic, or PV for short) or a windmillMaximum Power Transfer Tracking for a Photovoltaic-Supercapacitor Energy System Younghyun Kim optimization from an energy generation source (e.g., a solar cell array) to an energy storage element (e

Pedram, Massoud

295

Maximum Power Point Tracking Control for Photovoltaic System Using Adaptive Neuro-Fuzzy  

E-Print Network (OSTI)

converter. II. MATHEMATICAL MODELING OF PHOTOVOLTAIC CELL A PV cell can be represented by an equivalentMaximum Power Point Tracking Control for Photovoltaic System Using Adaptive Neuro- Fuzzy "ANFIS availability and vast potential, world has turned to solar photovoltaic energy to meet out its ever increasing

Recanati, Catherine

296

Dynamical Reconstruction of Upper-ocean Conditions in the Last Glacial Maximum Atlantic  

Science Conference Proceedings (OSTI)

Proxies indicate that the Last Glacial Maximum (LGM) Atlantic Ocean was marked by increased meridional and zonal near-sea-surface temperature gradients relative to today. Using a least-squares fit of a full general circulation and sea-ice model to ...

Holly Dail; Carl Wunsch

297

Deployment guidelines for achieving maximum lifetime and avoiding energy holes in sensor network  

Science Conference Proceedings (OSTI)

The demand for maximum network lifetime in many mission-critical applications of wireless sensor networks motivates the great significance to deploy as few sensors as possible to achieve the expected network performance. In this paper, we first characterize ... Keywords: Adjustable transmission range, Energy-hole, Network lifetime, Node deployment, Wireless sensor network

Anfeng Liu; Xin Jin; Guohua Cui; Zhigang Chen

2013-05-01T23:59:59.000Z

298

New Techniques and Data Sources for Probable Maximum Precipitation: Volumes 1-4  

Science Conference Proceedings (OSTI)

Safety review of new and existing dams under the Federal Energy Regulatory Commission (FERC) requires evaluation of the probable maximum precipitation (PMP) at the site of the dam. This report shows how weather radar, satellite data sources, and paleohydrology analysis techniques can improve the estimation of PMP for regions or individual basins.

1993-05-01T23:59:59.000Z

299

New Techniques and Data Sources for Probable Maximum Precipitation: Volumes 1-4  

Science Conference Proceedings (OSTI)

Safety review of new and existing dams under the Federal Energy Regulatory Commission (FERC) requires evaluation of the probable maximum precipitation (PMP) at the site of the dam. This report shows how weather radar, satellite data sources, and paleohydrology analysis techniques can improve the estimation of PMP for regions or individual basins.

1993-09-25T23:59:59.000Z

300

Cosmic Ray Hits in the Central Nervous System at Solar Maximum  

Science Conference Proceedings (OSTI)

It has been suggested that a manned mission to Mars be launched at solar maximum rather than at solar minimum to minimize the radiation exposure to galactic cosmic rays. It is true that the number of hits from highly ionizing particles to critical regions ...

Curtis S. B.; Vazquez M. E.; Wilson J. W.; Kim M.-H. Y.

1998-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Maximum power point tracking and optimal Li-ion battery charging control for photovoltaic charging system  

Science Conference Proceedings (OSTI)

Due to the severity of the global energy crisis and environmental pollution, the photovoltaic (PV) system has become one kind of important renewable energy source. Solar energy has the advantages of maximum reserve, inexhaustibleness, and is free from ... Keywords: Genetic algorithms (GA), Photovoltaic (PV), Variable Step Size Incremental Conductance method

Her-Terng Yau; Qin-Cheng Liang; Chin-Tsung Hsieh

2012-09-01T23:59:59.000Z

302

Bayesian Changepoint Analysis of the Annual Maximum of Daily and Subdaily Precipitation over South Korea  

Science Conference Proceedings (OSTI)

Bayesian changepoint analysis is applied to detect a change point in the 30-year (1976–2005) time series of the area-averaged annual maximum precipitation (A3MP) for the six accumulated time periods (1, 3, 6, 12, 24, and 48 h) over South Korea. ...

Chansoo Kim; Myoung-Seok Suh; Ki-Ok Hong

2009-12-01T23:59:59.000Z

303

Review article: Achieving maximum reliability in fault tolerant network design for variable networks  

Science Conference Proceedings (OSTI)

The objective of this paper is to present a novel method to achieve maximum reliability for fault tolerant optimal network design when network has variable size. Reliability calculation is most important and critical component when fault tolerant optimal ... Keywords: Fault tolerant optimal design, Fixed and varying link reliability, Maximizing reliability, Neural networks, Variable network size

B. Kaushik, N. Kaur, A. K. Kohli

2013-07-01T23:59:59.000Z

304

GEOMAGNETIC EFFECTS OF INTERPLANETARY SHOCK WAVES DURING SOLAR MINIMUM (1995-1996) AND SOLAR MAXIMUM (2000)  

E-Print Network (OSTI)

GEOMAGNETIC EFFECTS OF INTERPLANETARY SHOCK WAVES DURING SOLAR MINIMUM (1995-1996) AND SOLAR on geomagnetic activity, quantified by the maximum hourly Dst and tri-hourly ap indices, in a period of 3 days after the shock, are evaluated. Correlations between shock parameters and Dst and ap geomagnetic indices

305

Maximum CME speed as an indicator of solar and geomagnetic activities , V.B. Yurchyshyn1  

E-Print Network (OSTI)

Maximum CME speed as an indicator of solar and geomagnetic activities A. Kilcik1 , V.B. Yurchyshyn1 maximal speeds of coronal mass ejections (CMEs), international sunspot number (ISSN) and the geomagnetic indicator of both solar and geomagnetic activity. It may have advantages over the sunspot numbers, because

306

Design of wind farm layout for maximum wind energy capture Andrew Kusiak*, Zhe Song  

E-Print Network (OSTI)

Design of wind farm layout for maximum wind energy capture Andrew Kusiak*, Zhe Song Intelligent sources of alternative energy. The construction of wind farms is destined to grow in the U.S., possibly twenty-fold by the year 2030. To maximize the wind energy capture, this paper presents a model for wind

Kusiak, Andrew

307

Surface circulation types and daily maximum and minimum temperatures in southern La Plata Basin  

Science Conference Proceedings (OSTI)

La Plata Basin is one of the most important agriculture and hydropower producing regions worldwide. Extreme climate events such as cold and heat waves and frost events have a significant socio-economic impact. This work analyzes the influence of ...

Dr. Olga Clorinda Penalba; Dr. María Laura Bettolli; Pablo Andrés Krieger

308

Requirements for Predictive Analytics  

Science Conference Proceedings (OSTI)

It is important to have a clear understanding of how traditional Business Intelligence (BI) and analytics are different and how they fit together in optimizing organizational decision making. With tradition BI, activities are focused primarily on providing context to enhance a known set of information through aggregation, data cleansing and delivery mechanisms. As these organizations mature their BI ecosystems, they achieve a clearer picture of the key performance indicators signaling the relative health of their operations. Organizations that embark on activities surrounding predictive analytics and data mining go beyond simply presenting the data in a manner that will allow decisions makers to have a complete context around the information. These organizations generate models based on known information and then apply other organizational data against these models to reveal unknown information.

Troy Hiltbrand

2012-03-01T23:59:59.000Z

309

Numerical maximum likelihood estimation for the g-and-k and generalized g-and-h distributions  

Science Conference Proceedings (OSTI)

Continuing increases in computing power and availability mean that many maximum likelihood estimation (MLE) problems previously thought intractable or too computationally difficult can now be tackled numerically. However, ML parameter estimation for ... Keywords: g-and-k distribution, generalized g-and-h distribution, maximum likelihood estimation (MLE), numerical maximum likelihood estimation (NMLE), quantile distributions

G. D. Rayner; H. L. MacGillivray

2002-01-01T23:59:59.000Z

310

Measuring droplet impact with piezoelectric film  

E-Print Network (OSTI)

The objective of this research was to develop a measurement system for determining droplet impact in the field with piezoelectric film. The piezoelectric film generates an output signal when it is deformed. The signals are analyzed with a data acquisition system (a computer with two high speed boards). Eight piezoelectric films were calibrated in the laboratory. Each film was calibrated by releasing various water droplet sizes from different heights. The signal output of film was then related to the kinetic energy of the droplet. The maximum droplet diameter generated was 5.6 mm, and the maximum height used was 4.59 m. To simulate a kinetic energy for larger droplets and higher elevations, a solid particle with 9.9 mm diameter and 0.5 gram mass was used. The results show that, in general, the output of piezoelectfic film responds linearly to kinetic energy. However, due to the size of the film used and deformation of large droplets upon impact, the output become non-linear and may be represented by Y=ax1 +bx2 +cx1cx2+dx12x2+ex13x2 + where, y = sensor output a, b, c, d, e = constants which depend on the characteristics of the film X1 = the kinetic energy X2 = I for the solid particle X2= 0 for water drops The measurement system was tested in the field. The results showed that this system could be used to measure droplet impact force at different places on plants.

Basahi, Jalal M. Al-Badry M.

1993-01-01T23:59:59.000Z

311

Submitted for Review Journal of O#shore Mechanics and Arctic Engineering, ASME PRACTICAL AIRGAP PREDICTION FOR OFFSHORE STRUCTURES  

E-Print Network (OSTI)

@tamu.edu Abstract Two new methods are proposed to predict airgap demand. Airgap demand is is the maximum expected­calculation in the early stages of design. Two existing methods of predicting airgap demand based on first­order di#ects generally worsen the airgap demand. Large­volume floating structures, including semi­ submersibles

Sweetman, Bert

312

Submitted for Review Journal of Offshore Mechanics and Arctic Engineering, ASME PRACTICAL AIRGAP PREDICTION FOR OFFSHORE STRUCTURES  

E-Print Network (OSTI)

@tamu.edu Abstract Two new methods are proposed to predict airgap demand. Airgap demand is is the maximum expected stages of design. Two existing methods of predicting airgap demand based on first-order diffraction-conservative in that diffraction effects generally worsen the airgap demand. Large-volume floating structures, including semi

Sweetman, Bert

313

Wind Prediction Based on Improved BP Artificial Neural Network in Wind Farm  

Science Conference Proceedings (OSTI)

Wind power prediction is important to the operation of power system with comparatively large mount of wind power. It can relieve or avoid the disadvantageous impact of wind farm on power systems. Because the traditional neural network may fall into local ... Keywords: wind farm, wind power generation, wind speed prediction, BP neural networks

Keyuan Huang; Lang Dai; Shoudao Huang

2010-06-01T23:59:59.000Z

314

Impact Dynamics of Oxidized Liquid Metal Drops  

E-Print Network (OSTI)

With exposure to air, many liquid metals spontaneously generate an oxide layer on their surface. In oscillatory rheological tests, this skin is found to introduce a yield stress that typically dominates the elastic response but can be tuned by exposing the metal to hydrochloric acid solutions of different concentration. We systematically studied the normal impact of eutectic gallium-indium (eGaIn) drops under different oxidation conditions and show how this leads to two different dynamical regimes. At low impact velocity (or low Weber number), eGaIn droplets display strong recoil and rebound from the impacted surface when the oxide layer is removed. In addition, the degree of drop deformation or spreading during the impact is controlled by the oxide skin. We show that the scaling law known from ordinary liquids for the maximum spreading radius as a function of impact velocity can still be applied to the case of oxidized eGaIn if an effective Weber number $We^{\\star}$ is employed that uses an effective surface...

Xu, Qin; Jaeger, Heinrich M

2013-01-01T23:59:59.000Z

315

Predictive Maintenance | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Maintenance Maintenance Predictive Maintenance October 7, 2013 - 9:46am Addthis Predictive maintenance aims to detect equipment degradation and address problems as they arise. The result indicates potential issues, which are controlled or eliminated prior to any significant system deterioration. Predictive maintenance differs from preventive maintenance because maintenance is based on the condition of the machine instead of a preset schedule. This eliminates the unneeded maintenance concerns of preventive programs. Several predictive maintenance technologies are available. Federal agencies can leverage a combination of these technologies within their maintenance programs. Advantages A well-executed predictive maintenance program can almost eliminate catastrophic equipment failure because issues are identified and eliminated

316

Predictions of dry storage behavior of zircaloy clad spent fuel rods using deformation and fracture map analyses  

Science Conference Proceedings (OSTI)

Predictions of the maximum initial allowable temperature required to achieve a 40-year life in dry storage are made for Zircaloy clad spent fuel. Maximum initial dry storage temperatures of 420/sup 0/C for 1 year fuel cladding subjected to a constant stress of 70 MPa are predicted. The technique utilized in this work is based on the deformation and fracture map methodology. Maps are presented for temperatures between 50 and 850/sup 0/C stresses between 5 and 500 MPa. These maps are combined with a life fraction rule to predict the time to rupture of Zircaloy clad spent Light Water Reactor (LWR) fuel subjected to various storage conditions.

Tarn, J.C.L.; Madsen, N.H.; Chin, B.A.

1986-03-01T23:59:59.000Z

317

Maximum Monthly Rainfall Analysis Using L-Moments for an Arid Region in Isfahan Province, Iran  

Science Conference Proceedings (OSTI)

Developing methods that can give a suitable prediction of hydrologic events is always interesting for both hydrologists and statisticians, because of its importance in designing hydraulic structures and water resource management. Because of the ...

S. Saeid Eslamian; Hussein Feizi

2007-04-01T23:59:59.000Z

318

Multimedia Impacts of Air Pollutant Controls  

Science Conference Proceedings (OSTI)

With federal and state restrictions on air pollutant emissions growing more stringent, cross-media transfer may increase their concentration in solid waste and wastewater in complex chemical settings that make it difficult to predict pollutant behavior, both within the power plant and in the outside environment. Recent EPRI research addresses these complexities and helps to clarify impacts to solid waste and wastewater resulting from air pollution control operation. The ultimate goal of this ...

2013-05-28T23:59:59.000Z

319

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

E-Print Network (OSTI)

Radiation Pressure Acceleration relies on high intensity laser pulse interacting with solid target to obtain high maximum energy, quasimonoenergetic ion beams. Either extremely high power laser pulses or tight focusing of laser radiation is required. The latter would lead to the appearance of the maximum attainable ion energy, which is determined by the laser group velocity and is highly influenced by the transverse expansion of the target. Ion acceleration is only possible with target velocities less than the group velocity of the laser. The transverse expansion of the target makes it 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.

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

2013-01-01T23:59:59.000Z

320

Global convergence of diluted iterations in maximum-likelihood quantum tomography  

E-Print Network (OSTI)

In this paper we present an inexact stepsize selection for the Diluted R\\rho R algorithm, used to obtain the maximum likelihood estimate to the density matrix in quantum state tomography. We give a new interpretation for the diluted R\\rho R iterations that allows us to prove the global convergence under weaker assumptions. Thus, we propose a new algorithm which is globally convergent and suitable for practical implementation.

D. S. Gonçalves; M. A. Gomes-Ruggiero; C. Lavor

2013-06-13T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

ccsd-00016436,version1-4Jan2006 Maximum pseudo-likelihood estimator for  

E-Print Network (OSTI)

point processes By Jean-Michel Billiot1 , Jean-Fran¸cois Coeurjolly1,2 and R´emy Drouilhet1 Labsad. 2 Corresponding author 1 #12;2 J.-M. Billiot, J.-F. Coeurjolly and R. Drouilhet Abstract This paper the effectiveness of maximum #12;4 J.-M. Billiot, J.-F. Coeurjolly and R. Drouilhet pseudo-likelihood estimator. 2

Paris-Sud XI, Université de

322

Maximum pseudolikelihood estimator for exponential family models of marked Gibbs point processes  

E-Print Network (OSTI)

This paper is devoted to the estimation of a vector $\\bm {\\theta}$ parametrizing an energy function of a Gibbs point process, via the maximum pseudolikelihood method. Strong consistency and asymptotic normality results of this estimator depending on a single realization are presented. In the framework of exponential family models, sufficient conditions are expressed in terms of the local energy function and are verified on a wide variety of examples.

Billiot, Jean-Michel; Drouilhet, Rémy

2008-01-01T23:59:59.000Z

323

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

Gasoline and Diesel Fuel Update (EIA)

Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) 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 Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 62 63 59 63 58 61 59 63 62 65 2001 61 61 63 65 64 60 58 56 54 58 59 58 2002 54 57 54 50 51 50 52 50 56 57 50 43 2003 40 41 41 40 38 39 41 43 39 39 38 42 2004 43 45 45 45 44 49 48 49 48 48 49 50 2005 52 53 51 50 55 57 54 55 56 57 57 58 2006 55 57 59 58 58 57 66 62 63 64 65 64 2007 63 63 68 71 70 69 69 71 73 77 79 75 2008 76 77 75 72 73 73 72 72 NA 77 72 73 2009 75 76 72 70 65 60 61 60 60 63 62 63 2010 64 65 63 66 67 67 67 65 64 62 62 62

324

THE FIRST MAXIMUM-LIGHT ULTRAVIOLET THROUGH NEAR-INFRARED SPECTRUM OF A TYPE Ia SUPERNOVA  

Science Conference Proceedings (OSTI)

We present the first maximum-light ultraviolet (UV) through near-infrared (NIR) Type Ia supernova (SN Ia) spectrum. This spectrum of SN 2011iv was obtained nearly simultaneously by the Hubble Space Telescope at UV/optical wavelengths and the Magellan Baade telescope at NIR wavelengths. These data provide the opportunity to examine the entire maximum-light SN Ia spectral energy distribution. Since the UV region of an SN Ia spectrum is extremely sensitive to the composition of the outer layers of the explosion, which are transparent at longer wavelengths, this unprecedented spectrum can provide strong constraints on the composition of the SN ejecta, and similarly the SN explosion and progenitor system. SN 2011iv is spectroscopically normal, but has a relatively fast decline ({Delta}m{sub 15}(B) = 1.69 {+-} 0.05 mag). We compare SN 2011iv to other SNe Ia with UV spectra near maximum light and examine trends between UV spectral properties, light-curve shape, and ejecta velocity. We tentatively find that SNe with similar light-curve shapes but different ejecta velocities have similar UV spectra, while those with similar ejecta velocities but different light-curve shapes have very different UV spectra. Through a comparison with explosion models, we find that both a solar-metallicity W7 and a zero-metallicity delayed-detonation model provide a reasonable fit to the spectrum of SN 2011iv from the UV to the NIR.

Foley, Ryan J.; Marion, G. Howie; Challis, Peter; Kirshner, Robert P.; Berta, Zachory K. [Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138 (United States); Kromer, Markus; Taubenberger, Stefan; Hillebrandt, Wolfgang; Roepke, Friedrich K.; Ciaraldi-Schoolmann, Franco; Seitenzahl, Ivo R. [Max-Planck-Institut fuer Astrophysik, Karl-Schwarzschild-Strasse 1, D-85748 Garching bei Muenchen (Germany); Pignata, Giuliano [Departamento de Ciencias Fisicas, Universidad Andres Bello, Avda. Republica 252, Santiago (Chile); Stritzinger, Maximilian D. [Department of Physics and Astronomy, Aarhus University, Ny Munkegade, DK-8000 Aarhus C (Denmark); Filippenko, Alexei V.; Li Weidong; Silverman, Jeffrey M. [Department of Astronomy, University of California, Berkeley, CA 94720-3411 (United States); Folatelli, Gaston [Kavli Institute for the Physics and Mathematics of the Universe (Kavli IPMU, WPI), Todai Institutes for Advanced Study, University of Tokyo, Kashiwa 277-8583 (Japan); Hsiao, Eric Y.; Morrell, Nidia I. [Carnegie Observatories, Las Campanas Observatory, La Serena (Chile); Simcoe, Robert A., E-mail: rfoley@cfa.harvard.edu [MIT-Kavli Institute for Astrophysics and Space Research, 77 Massachusetts Avenue, 37-664D Cambridge, MA 02139 (United States); and others

2012-07-01T23:59:59.000Z

325

Hybrid energy storage systems based on compressed air and supercapacitors with maximum efficiency point tracking  

E-Print Network (OSTI)

This paper presents a hybrid energy storage system based on Compressed Air Energy Storage (CAES), where the charging and discharging is done within maximum efficiency conditions. As the maximum efficiency conditions impose the level of converted power, an intermittent time-modulated operation mode is applied to the thermodynamic converter to obtain a variable converted power. A smoothly variable output power is achieved with the help of a supercapacitive auxiliary storage device used as a filter. The paper describes the concept of the system, the power-electronic interface circuits and especially the Maximum Efficiency Point Tracking (MEPT) algorithm and the strategy used to vary the output power. In addition, the paper will present the characteristics of a high efficiency storage device where the pure pneumatic machine is replaced by an oil-hydraulics and pneumatics converter, used under isothermal conditions. Practical results are also presented, recorded from a low-power pneumatic motor coupled to a small DC generator, as well as from a first prototype of the final hydraulic/pneumatic system.

Sylvain Lemofouet; Alfred Rufer

2005-01-01T23:59:59.000Z

326

Maximum Neutral Buoyancy Depth of Juvenile Chinook Salmon: Implications for Survival during Hydroturbine Passage  

Science Conference Proceedings (OSTI)

This study investigated the maximum depth at which juvenile Chinook salmon Oncorhynchus tshawytscha can acclimate by attaining neutral buoyancy. Depth of neutral buoyancy is dependent upon the volume of gas within the swim bladder, which greatly influences the occurrence of injuries to fish passing through hydroturbines. We used two methods to obtain maximum swim bladder volumes that were transformed into depth estimations - the increased excess mass test (IEMT) and the swim bladder rupture test (SBRT). In the IEMT, weights were surgically added to the fishes exterior, requiring the fish to increase swim bladder volume in order to remain neutrally buoyant. SBRT entailed removing and artificially increasing swim bladder volume through decompression. From these tests, we estimate the maximum acclimation depth for juvenile Chinook salmon is a median of 6.7m (range = 4.6-11.6 m). These findings have important implications to survival estimates, studies using tags, hydropower operations, and survival of juvenile salmon that pass through large Kaplan turbines typical of those found within the Columbia and Snake River hydropower system.

Pflugrath, Brett D.; Brown, Richard S.; Carlson, Thomas J.

2012-03-01T23:59:59.000Z

327

A novel maximum power point tracker for PV panels using switching frequency modulation  

E-Print Network (OSTI)

Abstract—A novel technique for efficiently extracting maximum power from photovoltaic (PV) panels is presented. The power conversion stage, which is connected between a PV panel and a load or bus, is a SEPIC or Cuk converter or their derived circuits operating in discontinuous inductor–current or capacitor–voltage mode. Method of locating the maximum power point (MPP) is based on injecting a small-signal sinusoidal perturbation into the switching frequency and comparing the ac component and the average value of the panel terminal voltage. Apart from not requiring any sophisticated digital computation of the panel power, the proposed technique does not approximate the panel characteristics and can globally locate the MPP under wide insolation conditions. The tracking capability has been verified experimentally with a 10 W solar panel under a controlled experimental setup. Performances under the steady state and in the large-signal change of the insolation level will be given. Index Terms—DC–DC power conversion, maximum-powerpoint tracking, photovoltaic. I.

K. K. Tse; M. T. Ho; Student Member; Henry S. -h. Chung; S. Y. (ron Hui; Senior Member

2002-01-01T23:59:59.000Z

328

Environmental Impact | Browse Tree Results  

U.S. Energy Information Administration (EIA)

Environmental Impact. From climate change to biodiversity loss - documenting man's impact. CAB International. Home. Abstracts Database. News Articles. ...

329

NETL: Computer Software & Databases - Predictive Models  

NLE Websites -- All DOE Office Websites (Extended Search)

Predictive Models DOEBC-881SP. EOR Predictive Models: Handbook for Personal Computer Versions of Enhanced Oil Recovery Predictive Models. BPO Staff. February 1988. 76 pp. NTIS...

330

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

P. Haves et al. “Model Predictive Control of HVAC Systems:Bilinear Model Predictive Control of a HVAC System Usingof model predictive control algorithms for HVAC systems.

Ma, Yudong

2012-01-01T23:59:59.000Z

331

Long-Range Weather Prediction: Limits of Predictability and Beyond  

Science Conference Proceedings (OSTI)

The details of the weather are not predictable beyond one to two weeks. At longer time ranges, averages of the weather over space and time can be usefully predicted only to the extent that the variations of the averages exceed the “noise” ...

Edward S. Epstein

1988-03-01T23:59:59.000Z

332

User Interaction with Word Prediction: The Effects of Prediction Quality  

Science Conference Proceedings (OSTI)

Word prediction systems can reduce the number of keystrokes required to form a message in a letter-based AAC system. It has been questioned, however, whether such savings translate into an enhanced communication rate due to the additional overhead (e.g., ... Keywords: Word prediction, communication rate, user study

Keith Trnka; John McCaw; Debra Yarrington; Kathleen F. McCoy; Christopher Pennington

2009-02-01T23:59:59.000Z

333

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

Science Conference Proceedings (OSTI)

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.

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

2011-12-01T23:59:59.000Z

334

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

Science Conference Proceedings (OSTI)

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.

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

2011-08-01T23:59:59.000Z

335

Primer on Cumulative Impacts  

Science Conference Proceedings (OSTI)

Cumulative impacts have become one of the most important aspects of environmental analysis and reporting in terms of transmission siting. This primer provides EPRI members with background information and fundamental understanding of the analysis process. The primer reviews the legal and regulatory framework, briefly examines case law that has helped to define both the cumulative impacts concept and subsequent analysis, and provides a structure for conducting or reviewing cumulative impacts analyses.

2009-12-15T23:59:59.000Z

336

Application of support vector machines in scour prediction on grade-control structures  

Science Conference Proceedings (OSTI)

Research into the problem of predicting the maximum depth of scour on grade-control structures like sluice gates, weirs and check dams, etc., has been mainly of an experimental nature and several investigators have proposed a number of empirical relations ... Keywords: Back propagation neural network, Grade-control structures, Modeling, Scour, Support vector machines

Arun Goel; Mahesh Pal

2009-03-01T23:59:59.000Z

337

mep client impacts  

Science Conference Proceedings (OSTI)

... the mep net W or K Utah Manufacturing Extension Partnership ... Making an Impact on US Manufacturing manuFacturing extension partnership UTAH ...

2013-02-27T23:59:59.000Z

338

NYCCS | Economic Impact  

NLE Websites -- All DOE Office Websites (Extended Search)

biotechnology, national security and finance, is accomplished through high performance computing. Some examples of impactful areas are listed below: Modeling, simulation and...

339

Hypervelocity impact jet formation  

SciTech Connect

The hypervelocity impact of a particle on a surface generates a jet of shocked material which is thrown from the impact site. A simple analytic model has been developed to obtain expressions for the evolution of this jet of ejecta. The analysis is based on applying the conservation equations of mass and momentum to the problem of a normal impact of a sphere against a semi-infinite flat target. Expressions are developed for the evolution of the jet velocity, jet release point and the locus of points which describe the ejecta envelope. These analytical ejecta profiles are compared with high speed photographs of impact jet formation. 6 refs., 7 figs.

Ang, J.A.

1991-01-01T23:59:59.000Z

340

MAXIMUM CORONAL MASS EJECTION SPEED AS AN INDICATOR OF SOLAR AND GEOMAGNETIC ACTIVITIES  

Science Conference Proceedings (OSTI)

We investigate the relationship between the monthly averaged maximal speeds of coronal mass ejections (CMEs), international sunspot number (ISSN), and the geomagnetic Dst and Ap indices covering the 1996-2008 time interval (solar cycle 23). Our new findings are as follows. (1) There is a noteworthy relationship between monthly averaged maximum CME speeds and sunspot numbers, Ap and Dst indices. Various peculiarities in the monthly Dst index are correlated better with the fine structures in the CME speed profile than that in the ISSN data. (2) Unlike the sunspot numbers, the CME speed index does not exhibit a double peak maximum. Instead, the CME speed profile peaks during the declining phase of solar cycle 23. Similar to the Ap index, both CME speed and the Dst indices lag behind the sunspot numbers by several months. (3) The CME number shows a double peak similar to that seen in the sunspot numbers. The CME occurrence rate remained very high even near the minimum of the solar cycle 23, when both the sunspot number and the CME average maximum speed were reaching their minimum values. (4) A well-defined peak of the Ap index between 2002 May and 2004 August was co-temporal with the excess of the mid-latitude coronal holes during solar cycle 23. The above findings suggest that the CME speed index may be a useful indicator of both solar and geomagnetic activities. It may have advantages over the sunspot numbers, because it better reflects the intensity of Earth-directed solar eruptions.

Kilcik, A.; Yurchyshyn, V. B.; Abramenko, V.; Goode, P. R. [Big Bear Solar Observatory, Big Bear City, CA 92314 (United States); Gopalswamy, N. [NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Ozguc, A. [Kandilli Observatory and Earthquake Research Institute, Bogazici University, 34684 Istanbul (Turkey); Rozelot, J. P. [Nice University, OCA-Fizeau Dpt. Av. Copernic, 06130 Grasse (France)

2011-01-20T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

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

DOE Green Energy (OSTI)

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.

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

1985-01-01T23:59:59.000Z

342

DOE P 310.1 Admin Chg 1, Maximum Entry and Mandatory Separation Ages for Certain Security Employees  

Directives, Delegations, and Requirements

The policy establishes the DOE policy on maximum entry and mandatory separation ages for primary or secondary positions covered under special statutory ...

2001-10-11T23:59:59.000Z

343

The maximum energy dissipation principle and phenomenological cooperative and collective effects  

E-Print Network (OSTI)

The collective phenomena in physics and cooperative phenomena in biology/chemistry is compared in terms of the variational description. The maximum energy dissipation principle is employed and the cost-like functional is chosen according to an optimal control based formulation (Moroz, 2008; Moroz, 2009). Using this approach, the variational outline has been considered for non-equilibrium thermodynamic conditions. The differences between the application of the proposed approach to the description of cooperative phenomena in chemical/biochemical kinetics and the Landau free energy approach to collective phenomena in physics have been investigated.

Moroz, Adam

2010-01-01T23:59:59.000Z

344

Mars Surface Radiation Exposure for Solar Maximum Conditions and 1989 Solar Proton Events  

Science Conference Proceedings (OSTI)

The Langley heavy-ion/nucleon transport code, HZETRN, and the high-energy nucleon transport code, BRYNTRN, are used to predict the propagation of galactic cosmic rays (GCR''s) and solar flare protons through the carbon dioxide atmosphere of Mars. Particle ...

Simonsen Lisa C.; Nealy John E.

2003-02-01T23:59:59.000Z

345

The Impact of Seasat-A Scatterometer Data on High-Resolution Analyses and Forecasts: The Development of the QE II Storm  

Science Conference Proceedings (OSTI)

In this paper the impact of Seasat scatterometer winds in numerical weather prediction (NWP) is discussed with the help of the results of some cases studied.

A. C. M. Stoffelen; G. J. Cats

1991-12-01T23:59:59.000Z

346

Prediction of Dry-Season Precipitation in Tropical West Africa and Its Relation to Forcing from the Extratropics  

Science Conference Proceedings (OSTI)

Precipitation during the boreal winter dry season in tropical West Africa is rare but occasionally results in significant impacts on the local population. The dynamics and predictability of this phenomenon have been studied very little. Here, a ...

Peter Knippertz; Andreas H. Fink

2009-08-01T23:59:59.000Z

347

Assimilating Airborne Doppler Radar Observations with an Ensemble Kalman Filter for Convection-Permitting Hurricane Initialization and Prediction: Katrina (2005)  

Science Conference Proceedings (OSTI)

Through a Weather Research and Forecasting model (WRF)-based ensemble Kalman filter (EnKF) data assimilation system, the impact of assimilating airborne radar observations for the convection-permitting analysis and prediction of Hurricane Katrina (...

Yonghui Weng; Fuqing Zhang

2012-03-01T23:59:59.000Z

348

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

Open Energy Info (EERE)

Wave Height(m) at Wave Period(s) Wave Height(m) 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 Period(s)" Showing 25 pages using this property. (previous 25) (next 25) 1 1.5-ft Wave Flume Facility + 10.0 + 10-ft Wave Flume Facility + 10.0 + 11-ft Wave Flume Facility + 10.0 + 2 2-ft Flume Facility + 10.0 + 3 3-ft Wave Flume Facility + 10.0 + 5 5-ft Wave Flume Facility + 10.0 + 6 6-ft Wave Flume Facility + 10.0 + A Alden Large Flume + 0.0 + Alden Wave Basin + 1.0 + C Chase Tow Tank + 3.1 + Coastal Harbors Modeling Facility + 2.3 + Coastal Inlet Model Facility + 2.3 + D Davidson Laboratory Tow Tank + 4.0 + DeFrees Large Wave Basin + 3.0 + DeFrees Small Wave Basin + 3.0 +

349

The correlation of 27 day period solar activity and daily maximum temperature in continental Australia  

E-Print Network (OSTI)

We report the first observation of a 27 day period component in daily maximum temperature recorded at widely spaced locations in Australia. The 27 day component, extracted by band pass filtering, is correlated with the variation of daily solar radio flux during years close to solar minimum. We demonstrate that the correlation is related to the emergence of regions of solar activity on the Sun separated, temporally, from the emergence of other active regions. In this situation, which occurs only near solar minimum, the observed 27 day variation of temperature can be in phase or out of phase with the 27 day variation of solar activity. During solar maximum correlation of temperature and solar activity is much less defined. The amplitude of the 27 day temperature response to solar activity is large, at times as high as 6 degrees C, and much larger than the well documented temperature response to the 11 year cycle of solar activity. We demonstrate that the 27 day temperature response is localised to the Australia...

Edmonds, Ian

2013-01-01T23:59:59.000Z

350

Mesoscale predictability of an extreme warm-season precipitation event  

E-Print Network (OSTI)

During the period of June 29 through July 6, 2002, an extreme precipitation event occurred over Texas, resulting in catastrophic flooding. Operational forecasts performed poorly, neither predicting the copious amounts of rain nor its longevity. The Penn State University/NCAR Mesoscale Model version 5 (MM5) was used to conduct predictability experiments, which follow closely to the research conducted by Zhang et al. A control simulation initialized at 00Z 1 July is established over a 30-km grid. First, practical predictability experiments are performed by exploring the impacts due to different lead-times, resolution dependence, and different physics parameterizations. Second, intrinsic predictability is investigated by inducing a random temperature perturbation in the initial conditions, followed by numerous simulations with various perturbed initializations. Similar results to those found by Zhang et al. were discovered here: the prominent initial error growth is associated with moist processes leading to convection. Eventually these errors grow from the convective scale to sub-synoptic scale, essentially below 1000 kilometers. This indicates that as the forecast time extends further beyond initialization, the resulting errors will impact forecasts of larger-scale features such as differences in the positioning and intensity of positive PV anomalies and distribution of precipitation from the control simulation.

Odins, Andrew Michael

2004-12-01T23:59:59.000Z

351

Predictability and Information Theory. Part I: Measures of Predictability  

Science Conference Proceedings (OSTI)

This paper gives an introduction to the connection between predictability and information theory, and derives new connections between these concepts. A system is said to be unpredictable if the forecast distribution, which gives the most complete ...

Timothy DelSole

2004-10-01T23:59:59.000Z

352

MIT Emissions Prediction and Policy Analysis (EPPA) Model | Open Energy  

Open Energy Info (EERE)

MIT Emissions Prediction and Policy Analysis (EPPA) Model MIT Emissions Prediction and Policy Analysis (EPPA) Model Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: MIT Emissions Prediction and Policy Analysis (EPPA) Model Agency/Company /Organization: Massachusetts Institute of Technology (MIT) Topics: Analysis Tools Complexity/Ease of Use: Not Available Website: dspace.mit.edu/handle/1721.1/29790 Cost: Free Related Tools IGES GHG Calculator For Solid Waste Energy and Power Evaluation Program (ENPEP) Regional Economic Models, Inc. (REMI) Model ... further results The part of the MIT Integrated Global Systems Model (IGSM) that represents human systems; a recursive-dynamic multi-regional general equilibrium model

353

Predicting hourly building energy usage  

SciTech Connect

This article presents the results of an evaluation to identify the most accurate method for making hourly energy use predictions. The prediction of energy usage by HVAC systems is important for the purposes of HVAC diagnostics, system control, parameter and system identification, optimization and energy management. Many new techniques are now being applied to the analysis problems involved with predicting the future behavior of HVAC systems and deducing properties of these systems. Similar problems arise in most observational disciplines, including physics, biology and economics.

Kreider, J.F. (Univ. of Colorado, Boulder, CO (United States). Dept. of Civil, Environmental and Architectural Engineering); Haberl, J.S. (Texas A and M Univ., College Station, TX (United States). Mechanical Engineering Dept.)

1994-06-01T23:59:59.000Z

354

The exact distribution of the maximum, minimum and the range of Multinomial/Dirichlet and Multivariate Hypergeometric frequencies  

Science Conference Proceedings (OSTI)

The exact distribution of the maximum and minimum frequencies of Multinomial/Dirichlet and Multivariate Hypergeometric distributions of n balls in m urns is compactly represented as a product of stochastic matrices. This representation ... Keywords: Dirichlet multinomial, Multinomial maximum, minimum, range, Multinomial outliers, inliers, Multivariate hypergeometric, Stochastic matrix

Charles J. Corrado

2011-07-01T23:59:59.000Z

355

6.25 KHZ -MAXIMUM SPECTRUM EFFICIENCY The demand for wireless connectivity is increasing. Emerging technologies create  

E-Print Network (OSTI)

6.25 KHZ - MAXIMUM SPECTRUM EFFICIENCY The demand for wireless connectivity is increasing. Emerging technologies create applications that require instant information. Wireless SCADA solutions demand RF channels is ready today to utilize the existing spectrum for maximum efficiency. Until now, 6.25 kHz bandwidth

Allen, Gale

356

Assessment of the Impact of Observations on Analyses Derived from Observing System Experiments  

Science Conference Proceedings (OSTI)

Observing system experiments (OSEs) are commonly used to quantify the impact of different observation types on forecasts produced by a specific numerical weather prediction system. Recently, methods based on degree of freedom for signal (DFS) have ...

Cristina Lupu; Pierre Gauthier; Stéphane Laroche

2012-01-01T23:59:59.000Z

357

The economic impact of global climate and tropospheric oxone on world agricultural production  

E-Print Network (OSTI)

The objective of my thesis is to analyze the economic impact on agriculture production from changes in climate and tropospheric ozone, and related policy interventions. The analysis makes use of the Emissions Prediction ...

Wang, Xiaodu

2005-01-01T23:59:59.000Z

358

Impact of a Nonlocal Closure Scheme in a Simulation of a Monsoon System over India  

Science Conference Proceedings (OSTI)

The impact of two parameterization schemes for the atmospheric boundary layer in predicting monsoon circulation over the Indian region has been studied using a Global Spectral Model. The performance of the nonlocal closure scheme for the boundary ...

Swati Basu; G. R. Iyengar; A. K. Mitra

2002-01-01T23:59:59.000Z

359

Impact Study of AMSR-E Radiances in the NCEP Global Data Assimilation System  

Science Conference Proceedings (OSTI)

The impact of radiance observations from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) was investigated in the National Centers for Environmental Prediction (NCEP) Global Data Assimilation System (GDAS). The GDAS ...

Masahiro Kazumori; Quanhua Liu; Russ Treadon; John C. Derber

2008-02-01T23:59:59.000Z

360

Impact of Common Sea Surface Temperature Anomalies on Global Drought and Pluvial Frequency  

Science Conference Proceedings (OSTI)

Climate model simulations run as part of the Climate Variability and Predictability (CLIVAR) Drought Working Group initiative were analyzed to determine the impact of three patterns of sea surface temperature (SST) anomalies on drought and ...

Kirsten L. Findell; Thomas L. Delworth

2010-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Impacts of Snow Initialization on Subseasonal Forecasts of Surface Air Temperature for the Cold Season  

Science Conference Proceedings (OSTI)

The present study examines the impacts of snow initialization on surface air temperature by a number of ensemble seasonal predictability experiments using the NCAR Community Atmosphere Model version 3 (CAM3) AGCM with and without snow ...

Jee-Hoon Jeong; Hans W. Linderholm; Sung-Ho Woo; Chris Folland; Baek-Min Kim; Seong-Joong Kim; Deliang Chen

2013-03-01T23:59:59.000Z

362

Impact Of Cumulus Initialization on the Spinup of Precipitation Forecasts in the Tropics  

Science Conference Proceedings (OSTI)

In order to ameliorate the precipitation spinup problem (prediction models’ inability to produce realistic precipitation rates at the beginning of the forecast period), the impact of a tropical initialization procedure on precipitation forecasts ...

Akira Kasahara; Arthur P. Mizzi; Leo J. Donner

1992-07-01T23:59:59.000Z

363

A Study of Subseasonal Predictability  

Science Conference Proceedings (OSTI)

The predictability of weekly averaged circulation anomalies in the Northern Hemisphere, and diabatic heating anomalies in the Tropics, is investigated in a linear inverse model (LIM) derived from their observed simultaneous and time-lag ...

Matthew Newman; Prashant D. Sardeshmukh; Christopher R. Winkler; Jeffrey S. Whitaker

2003-08-01T23:59:59.000Z

364

The Workshop in Atmospheric Predictability  

Science Conference Proceedings (OSTI)

A workshop on the subject of atmospheric predictability was held during 23-25 April 2001 at the Naval Postgraduate School in Monterey, California. Of primary concern was the nature of forecast uncertainty due to initial conditionuncertainty of ...

Ronald M. Errico; Rolf Langland; David P. Baumhefner

2002-09-01T23:59:59.000Z

365

Predicting Continuous Epitopes in Proteins  

Science Conference Proceedings (OSTI)

The ability to predict antigenic sites on proteins is crucial for the production of synthetic peptide vaccines and synthetic peptide probes of antibody structure. Large number of amino acid propensity scales based on various properties of the antigenic ...

Reeti Tandon; Sudeshna Adak; Brion Sarachan; William FitzHugh; Jeremy Heil; Vaibhav A. Narayan

2005-08-01T23:59:59.000Z

366

Information Theory and Climate Prediction  

Science Conference Proceedings (OSTI)

This paper introduces the use of information theory in characterizing climate predictability. Specifically, the concepts of entropy and transinformation are employed. Entropy measures the amount of uncertainty in our knowledge of the state of the ...

Lai-Yung Leung; Gerald R. North

1990-01-01T23:59:59.000Z

367

Predictability of Rotating Stratified Turbulence  

Science Conference Proceedings (OSTI)

Although predictability represents one of the fundamental problems in atmospheric science, gaps in our knowledge remain. Theoretical understanding of the inverse error cascade is limited mostly to homogeneous, isotropic turbulence, whereas ...

K. Ngan; P. Bartello; D. N. Straub

2009-05-01T23:59:59.000Z

368

Statistical Predictability of Decaying Turbulence  

Science Conference Proceedings (OSTI)

We use statistical models of turbulence with “eddy damping” (EDQNM) in order to study the problem of predictability of freely evolving two- and three-dimensional isotropic turbulent flows.

Olivier Métais; Marcel Lesieur

1986-05-01T23:59:59.000Z

369

Predictability in the Extended Range  

Science Conference Proceedings (OSTI)

A two-level spherical quasi-geostrophic model is formulated for predictability experiments. The stationary external forcing for this model is calculated from observations. Both barotropic and baroclinic forcings are required in order to achieve a ...

John O. Roads

1987-12-01T23:59:59.000Z

370

Corn Yield Prediction Using Climatology  

Science Conference Proceedings (OSTI)

A method is developed to predict corn yield during the growing season using a plant process model (CERES-Maize), current weather data and climatological data. The procedure is to place the current year's daily weather (temperature and ...

Claude E. Duchon

1986-05-01T23:59:59.000Z

371

Customer churn prediction in telecommunications  

Science Conference Proceedings (OSTI)

This paper presents a new set of features for land-line customer churn prediction, including 2 six-month Henley segmentation, precise 4-month call details, line information, bill and payment information, account information, demographic profiles, service ... Keywords: Churn prediction, Decision Trees, Evolutionary Data Mining Algorithms, Imbalanced datasets, Linear Classifications, Logistic Regressions, Multilayer Perceptron Neural Networks, Naive Bayes, ROC and AUC techniques, Support Vector Machines

Bingquan Huang; Mohand Tahar Kechadi; Brian Buckley

2012-01-01T23:59:59.000Z

372

Improved load ratio method for predicting crack length  

SciTech Connect

The elastic compliance from unloading/reloading sequences in a load-displacement record estimates well crack length in elastic-plastic fracture toughness tests of compact tension [C(T)] and bending type specimens. The need for partial unloading of the specimen makes it difficult to run the test under static loading and impossible under either dynamic loading or very high temperatures. Furthermore, fracture toughness testing in which crack length is determined from elastic compliance requires high precision testing equipment and highly skilled technicians. As a result, such tests are confined usually to research laboratories and seldom used under production settings. To eliminate these problems, an improved load ratio method of predicting crack length is proposed that utilizes only the recorded load versus load-line displacement curve (or load versus crack-mouth-opening displacement curve) without unloading/reloading sequences. As a result, the instrumentation is much simpler than in the elastic compliance or potential drop methods. If only a monotonic load-displacement record is to be measured the fracture toughness test becomes almost as simple to perform as a tension test. The method described here improves in three ways the ``original load ratio method`` proposed by Hu et al. First, a blunting term is added to the crack length before maximum load. Second, a strain hardening correction is included after maximum load. And, third, the initial crack length and the physical (final) crack length measured at the end of the test serve to anchor the predicted crack lengths, forcing agreement between predicted and measured values. The method predicts crack extension with excellent accuracy in specimens fabricated from A302, A508, and A533B piping and pressure vessel steels, A588 and A572 structural steels, and HY-80 ship steel.

Chen, X.; Albrecht, P. [Univ. of Maryland, College Park, MD (United States). Inst. for Systems Research; Wright, W. [Federal Highway Administration, McLean, VA (United States). Turner-Fairbank Highway Research Center; Joyce, J.A. [Naval Academy, Annapolis, MD (United States). Mechanical Engineering Dept.

1995-04-01T23:59:59.000Z

373

Combustion Process in a Spark Ignition Engine: Analysis of Cyclic Maximum Pressure and Peak Pressure Angle  

E-Print Network (OSTI)

In this paper we analyze the cycle-to-cycle variations of maximum pressure $p_{max}$ and peak pressure angle $\\alpha_{pmax}$ in a four-cylinder spark ignition engine. We examine the experimental time series of $p_{max}$ and $\\alpha_{pmax}$ for three different spark advance angles. Using standard statistical techniques such as return maps and histograms we show that depending on the spark advance angle, there are significant differences in the fluctuations of $p_{max}$ and $\\alpha_{pmax}$. We also calculate the multiscale entropy of the various time series to estimate the effect of randomness in these fluctuations. Finally, we explain how the information on both $p_{max}$ and $\\alpha_{pmax}$ can be used to develop optimal strategies for controlling the combustion process and improving engine performance.

G. Litak; T. Kaminski; J. Czarnigowski; A. K. Sen; M. Wendeker

2006-11-29T23:59:59.000Z

374

A maximum-entropy approach to the adiabatic freezing of a supercooled liquid  

E-Print Network (OSTI)

I employ the van der Waals theory of Baus and coworkers to analyze the fast, adiabatic decay of a supercooled liquid in a closed vessel with which the solidification process usually starts. By imposing a further constraint on either the system volume or pressure, I use the maximum-entropy method to quantify the fraction of liquid that is transformed into solid as a function of undercooling and of the amount of a foreign gas that could possibly be also present in the test tube. Upon looking at the implications of thermal and mechanical insulation for the energy cost of forming a solid droplet within the liquid, I identify one situation where the onset of solidification inevitably occurs near the wall in contact with the bath.

Santi Prestipino

2013-04-29T23:59:59.000Z

375

ULTRASONIC IMAGING USING A FLEXIBLE ARRAY: IMPROVEMENTS TO THE MAXIMUM CONTRAST AUTOFOCUS ALGORITHM  

SciTech Connect

In previous work, we have presented the maximum contrast autofocus algorithm for estimating unknown imaging parameters, e.g., for imaging through complicated surfaces using a flexible ultrasonic array. This paper details recent improvements to the algorithm. The algorithm operates by maximizing the image contrast metric with respect to the imaging parameters. For a flexible array, the relative positions of the array elements are parameterized using a cubic spline function and the spline control points are estimated by iterative maximisation of the image contrast via simulated annealing. The resultant spline gives an estimate of the array geometry and the profile of the surface that it has conformed to, allowing the generation of a well-focused image. A pre-processing step is introduced to obtain an initial estimate of the array geometry, reducing the time taken for the algorithm to convergence. Experimental results are demonstrated using a flexible array prototype.

Hunter, A. J.; Drinkwater, B. W.; Wilcox, P. D. [Department of Mechanical Engineering, University of Bristol (United Kingdom)

2009-03-03T23:59:59.000Z

376

Analytical expressions for maximum wind turbine average power in a Rayleigh wind regime  

DOE Green Energy (OSTI)

Average or expectation values for annual power of a wind turbine in a Rayleigh wind regime are calculated and plotted as a function of cut-out wind speed. This wind speed is expressed in multiples of the annual average wind speed at the turbine installation site. To provide a common basis for comparison of all real and imagined turbines, the Rayleigh-Betz wind machine is postulated. This machine is an ideal wind machine operating with the ideal Betz power coefficient of 0.593 in a Rayleigh probability wind regime. All other average annual powers are expressed in fractions of that power. Cases considered include: (1) an ideal machine with finite power and finite cutout speed, (2) real machines operating in variable speed mode at their maximum power coefficient, and (3) real machines operating at constant speed.

Carlin, P.W.

1996-12-01T23:59:59.000Z

377

Online Robot Dead Reckoning Localization Using Maximum Relative Entropy Optimization With Model Constraints  

SciTech Connect

The principle of Maximum relative Entropy optimization was analyzed for dead reckoning localization of a rigid body when observation data of two attached accelerometers was collected. Model constraints were derived from the relationships between the sensors. The experiment's results confirmed that accelerometers each axis' noise can be successfully filtered utilizing dependency between channels and the dependency between time series data. Dependency between channels was used for a priori calculation, and a posteriori distribution was derived utilizing dependency between time series data. There was revisited data of autocalibration experiment by removing the initial assumption that instantaneous rotation axis of a rigid body was known. Performance results confirmed that such an approach could be used for online dead reckoning localization.

Urniezius, Renaldas [Kaunas University of Technology, Kaunas (Lithuania)

2011-03-14T23:59:59.000Z

378

Targeted search for continuous gravitational waves: Bayesian versus maximum-likelihood statistics  

E-Print Network (OSTI)

We investigate the Bayesian framework for detection of continuous gravitational waves (GWs) in the context of targeted searches, where the phase evolution of the GW signal is assumed to be known, while the four amplitude parameters are unknown. We show that the orthodox maximum-likelihood statistic (known as F-statistic) can be rediscovered as a Bayes factor with an unphysical prior in amplitude parameter space. We introduce an alternative detection statistic ("B-statistic") using the Bayes factor with a more natural amplitude prior, namely an isotropic probability distribution for the orientation of GW sources. Monte-Carlo simulations of targeted searches show that the resulting Bayesian B-statistic is more powerful in the Neyman-Pearson sense (i.e. has a higher expected detection probability at equal false-alarm probability) than the frequentist F-statistic.

Reinhard Prix; Badri Krishnan

2009-07-15T23:59:59.000Z

379

Targeted search for continuous gravitational waves: Bayesian versus maximum-likelihood statistics  

E-Print Network (OSTI)

We investigate the Bayesian framework for detection of continuous gravitational waves (GWs) in the context of targeted searches, where the phase evolution of the GW signal is assumed to be known, while the four amplitude parameters are unknown. We show that the orthodox maximum-likelihood statistic (known as F-statistic) can be rediscovered as a Bayes factor with an unphysical prior in amplitude parameter space. We introduce an alternative detection statistic ("B-statistic") using the Bayes factor with a more natural amplitude prior, namely an isotropic probability distribution for the orientation of GW sources. Monte-Carlo simulations of targeted searches show that the resulting Bayesian B-statistic is more powerful in the Neyman-Pearson sense (i.e. has a higher expected detection probability at equal false-alarm probability) than the frequentist F-statistic.

Prix, Reinhard

2009-01-01T23:59:59.000Z

380

High?resolution x?ray microscopy using an undulator source, photoelectron studies with MAXIMUM  

Science Conference Proceedings (OSTI)

We present the first results of high?spatial resolution x?ray imaging studies with an upgraded version of the scanning photoemission multiple application x?ray imaging undulator microscope. The microscope is a multilayercoated Schwarzschild objective that focuses undulator radiation onto the sample. The recent upgrade improved the spatial resolution by a factor six reaching a full width at half maximum value of 0.5 ?m. Highly polished mirrors reduced the diffuse background by almost two orders of magnitude and drastically improved the contrast. The improved microscope was used to perform a series of tests on microgrids and reverse Fresnel zone plates. The microscope capability to detect chemical and topological contrast was verified by using patterned metal overlayers on Si and GaAs substrates. Further improvements to increase the flux and the spatial resolution are underway; this includes the installation of a new undulator beamline.

C. Capasso; A. K. Ray?Chaudhuri; W. Ng; S. Liang; R. K. Cole; J. Wallace; F. Cerrina; G. Margaritondo; J. H. Underwood; J. B. Kortright; R. C. C. Perera

1991-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Detailed analysis of an endoreversible fuel cell : Maximum power and optimal operating temperature determination  

E-Print Network (OSTI)

Producing useful electrical work in consuming chemical energy, the fuel cell have to reject heat to its surrounding. However, as it occurs for any other type of engine, this thermal energy cannot be exchanged in an isothermal way in finite time through finite areas. As it was already done for various types of systems, we study the fuel cell within the finite time thermodynamics framework and define an endoreversible fuel cell. Considering different types of heat transfer laws, we obtain an optimal value of the operating temperature, corresponding to a maximum produced power. This analysis is a first step of a thermodynamical approach of design of thermal management devices, taking into account performances of the whole system.

A. Vaudrey; P. Baucour; F. Lanzetta; R. Glises

2009-05-18T23:59:59.000Z

382

Detailed analysis of an endoreversible fuel cell : Maximum power and optimal operating temperature determination  

E-Print Network (OSTI)

Producing useful electrical work in consuming chemical energy, the fuel cell have to reject heat to its surrounding. However, as it occurs for any other type of engine, this thermal energy cannot be exchanged in an isothermal way in finite time through finite areas. As it was already done for various types of systems, we study the fuel cell within the finite time thermodynamics framework and define an endoreversible fuel cell. Considering different types of heat transfer laws, we obtain an optimal value of the operating temperature, corresponding to a maximum produced power. This analysis is a first step of a thermodynamical approach of design of thermal management devices, taking into account performances of the whole system.

Vaudrey, A; Lanzetta, F; Glises, R

2009-01-01T23:59:59.000Z

383

Application of the Maximum Entropy Method to the (2 + 1)d Four-Fermion Model  

E-Print Network (OSTI)

We investigate spectral functions extracted using the Maximum Entropy Method from correlators measured in lattice simulations of the (2+1)-dimensional four-fermion model. This model is particularly interesting because it has both a chirally broken phase with a rich spectrum of mesonic bound states and a symmetric phase where there are only resonances. In the broken phase we study the elementary fermion, pion, sigma, and massive pseudoscalar meson; our results confirm the Goldstone nature of the ? and permit an estimate of the meson binding energy. We have, however, seen no signal of ? ? ?? decay as the chiral limit is approached. In the symmetric phase we observe a resonance of non-zero width in qualitative agreement with analytic expectations; in addition the ultra-violet behaviour of the spectral functions is consistent with the large non-perturbative anomalous dimension for fermion composite operators expected in this model. 1 1

C. R. Allton A; J. E. Clowser A; J. B. Kogut C; C. G. Strouthos A

2002-01-01T23:59:59.000Z

384

The Dynamics and Predictability of Tropical Cyclones  

E-Print Network (OSTI)

Through methodology unique for tropical cyclones in peer-reviewed literature, this study explores how the dynamics of moist convection affects the predictability of tropical cyclogenesis. Mesoscale models are used to perform short-range ensemble forecasts of a non-developing disturbance in 2004 and Hurricane Humberto in 2007; both of these cases were highly unpredictable. Taking advantage of discrepancies between ensemble members in short-range ensemble forecasts, statistical correlation is used to pinpoint sources of error in forecasts of tropical cyclone formation and intensification. Despite significant differences in methodology, storm environment and development, it is found in both situations that high convective instability (CAPE) and mid-level moisture are two of the most important factors for genesis. In the gulf low, differences in CAPE are related to variance in quasi-geostrophic lift, and in Humberto the differences are related to the degree of interaction between the cyclone and a nearby front. Regardless of the source of CAPE variance, higher CAPE and mid-level moisture combine to yield more active initial convection and more numerous and strong vortical hot towers (VHTs), which incrementally contribute to a stronger vortex. In both cases, strength differences between ensemble members are further amplified by differences in convection that are related to oceanic heat fluxes. Eventually the WISHE mechanism results in even larger ensemble spread, and in the case of Humberto, uncertainty related to the time of landfall drives spread even higher. It is also shown that initial condition differences much smaller than current analysis error can ultimately control whether or not a tropical cyclone forms. Furthermore, even smaller differences govern how the initial vortex is built. Differences in maximum winds and/or vorticity vary nonlinearly with initial condition differences and depend on the timing and intensity of small mesoscale features such as VHTs and cold pools. Finally, the strong sensitivity to initial condition differences in both cases exemplifies the inherent uncertainties in hurricane intensity prediction. This study illustrates the need for implementing advanced data analysis schemes and ensemble prediction systems to provide more accurate and event-dependent probabilistic forecasts.

Sippel, Jason A.

2008-12-01T23:59:59.000Z

385

Jaynes' Maximum Entropy Principle, Riemannian Metrics and Generalised Least Action Bound  

E-Print Network (OSTI)

The set of solutions inferred by the generic maximum entropy (MaxEnt) or maximum relative entropy (MaxREnt) principles of Jaynes - considered as a function of the moment constraints or their conjugate Lagrangian multipliers - is endowed with a Riemannian geometric description, based on the second differential tensor of the entropy or its Legendre transform (negative Massieu function). The analysis provides a generalised {\\it least action bound} applicable to all Jaynesian systems, which provides a lower bound to the cost (in generic entropy units) of a transition between inferred positions along a specified path, at specified rates of change of the control parameters. The analysis therefore extends the concepts of "finite time thermodynamics" to the generic Jaynes domain, providing a link between purely static (stationary) inferred positions of a system, and dynamic transitions between these positions (as a function of time or some other coordinate). If the path is unspecified, the analysis gives an absolute lower bound for the cost of the transition, corresponding to the geodesic of the Riemannian hypersurface. The analysis is applied to (i) an equilibrium thermodynamic system subject to mean internal energy and volume constraints, and (ii) a flow system at steady state, subject to constraints on the mean heat, mass and momentum fluxes and chemical reaction rates. The first example recovers the {\\it minimum entropy cost} of a transition between equilibrium positions, a widely used result of finite-time thermodynamics. The second example leads to a new {\\it minimum entropy production principle}, for the cost of a transition between steady state positions of a flow system.

Robert K. Niven; Bjarne Andresen

2009-07-16T23:59:59.000Z

386

MADmap: A Massively Parallel Maximum-Likelihood Cosmic Microwave Background Map-Maker  

SciTech Connect

MADmap is a software application used to produce maximum-likelihood images of the sky from time-ordered data which include correlated noise, such as those gathered by Cosmic Microwave Background (CMB) experiments. It works efficiently on platforms ranging from small workstations to the most massively parallel supercomputers. Map-making is a critical step in the analysis of all CMB data sets, and the maximum-likelihood approach is the most accurate and widely applicable algorithm; however, it is a computationally challenging task. This challenge will only increase with the next generation of ground-based, balloon-borne and satellite CMB polarization experiments. The faintness of the B-mode signal that these experiments seek to measure requires them to gather enormous data sets. MADmap is already being run on up to O(1011) time samples, O(108) pixels and O(104) cores, with ongoing work to scale to the next generation of data sets and supercomputers. We describe MADmap's algorithm based around a preconditioned conjugate gradient solver, fast Fourier transforms and sparse matrix operations. We highlight MADmap's ability to address problems typically encountered in the analysis of realistic CMB data sets and describe its application to simulations of the Planck and EBEX experiments. The massively parallel and distributed implementation is detailed and scaling complexities are given for the resources required. MADmap is capable of analysing the largest data sets now being collected on computing resources currently available, and we argue that, given Moore's Law, MADmap will be capable of reducing the most massive projected data sets.

Cantalupo, Christopher; Borrill, Julian; Jaffe, Andrew; Kisner, Theodore; Stompor, Radoslaw

2009-06-09T23:59:59.000Z

387

Environmental impact report (draft)  

DOE Green Energy (OSTI)

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)

Not Available

1980-05-01T23:59:59.000Z

388

Impacts of Urban Albedo Increase on Local Air Temperature at Daily–Annual Time Scales: Model Results and Synthesis of Previous Work  

Science Conference Proceedings (OSTI)

The authors combine urban and soil–vegetation surface parameterization schemes with one-dimensional (1D) boundary layer mixing and radiation parameterizations to estimate the maximum impact of increased surface albedo on urban air temperatures. ...

E. Scott Krayenhoff; James A. Voogt

2010-08-01T23:59:59.000Z

389

Minority Economic Impact | Department of Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

Minority Economic Impact Minority Economic Impact Diversity and Inclusion Supporting Small Businesses Minority Economic Impact Partnering with Minority Serving Institutions...

390

Multivariate analysis and prediction of wind turbine response to varying wind field characteristics based on machine learning  

E-Print Network (OSTI)

Multivariate analysis and prediction of wind turbine response to varying wind field characteristics characteristics have a significant impact on the structural response and the lifespan of wind turbines. This paper presents a machine learning approach towards analyzing and predicting the response of wind turbine

Stanford University

391

Demand Impacted by Weather  

U.S. Energy Information Administration (EIA)

When you look at demand, it’s also interesting to note the weather. The weather has a big impact on the demand of heating fuels, if it’s cold, consumers will use ...

392

Predicting mobile call behavior via subspace methods  

Science Conference Proceedings (OSTI)

We investigate behavioral prediction approaches based on subspace methods such as principal component analysis (PCA) and independent component analysis (ICA). Moreover, we propose a personalized sequential prediction approach to predict next day behavior ... Keywords: behavior prediction, eigenbehavior, independent component analysis, principal component analysis, sequential prediction

Peng Dai; Wanqing Yang; Shen-Shyang Ho

2013-04-01T23:59:59.000Z

393

Procedures to predict vertical differential soil movement for expansive soils  

E-Print Network (OSTI)

Damage to lightly loaded structures, paving and service piping in areas of expansive clay soils has occurred throughout the world. The cause of this damage has been the inability to accurately model expansive soil movement so that foundations are adequately designed to withstand the movement. The amount and rate of differential soil movement for expansive soils is due to a combination of soil characteristics, namely: suction compression index, unsaturated permeability, and diffusivity. Currently, geotechnical engineers run tests to measure the soil properties required to estimate differential soil movements. However, there seems to be apprehension toward attempting these soil movement calculations due to the perceived complexity of the calculations or a simple lack of understanding of the theory. The procedures delineating the step by step process used to calculate suction profiles and volume strains of expansive soils is presented. These procedures include the methodology to predict soil heave and shrink underneath shallow foundations which generate maximum center lift and maximum edge lift slab distortion modes. The main contributions of this research are: equations and procedures to calculate the equilibrium suction profile and depth to constant suction for a particular soil profile and location, equations to calculate the horizontal velocity flow of water in unsaturated soils, the methodology to predict differential soil movement shortly after a slab has been constructed and before the soil under the slab has reached an equilibrium moisture content, and the procedures to apply differential soil movement theory to soil profiles with shallow foundation design.

Naiser, Donald David

1997-01-01T23:59:59.000Z

394

Forest dynamics at regional scales: predictive models constrained with inventory data  

E-Print Network (OSTI)

infrequent but have extreme impacts. Models of the relationship between wind and fire events and vegetation have revealed impacts on species composition and stand biomass (Hickler et al., 2004), size structure (Liedloff and Cook, 2007; Uriarte et al., 2009... limitation, that resource use and supply are equal, birth and death rates are equal and that stems' allometry and demographic rates are as defined above, allowing predictions such as stand size distribution, canopy structure and resource use (West et al...

Lines, Emily

2012-06-12T23:59:59.000Z

395

Downscaling Extended Weather Forecasts for Hydrologic Prediction  

SciTech Connect

Weather and climate forecasts are critical inputs to hydrologic forecasting systems. The National Center for Environmental Prediction (NCEP) issues 8-15 days outlook daily for the U.S. based on the Medium Range Forecast (MRF) model, which is a global model applied at about 2? spatial resolution. Because of the relatively coarse spatial resolution, weather forecasts produced by the MRF model cannot be applied directly to hydrologic forecasting models that require high spatial resolution to represent land surface hydrology. A mesoscale atmospheric model was used to dynamically downscale the 1-8 day extended global weather forecasts to test the feasibility of hydrologic forecasting through this model nesting approach. Atmospheric conditions of each 8-day forecast during the period 1990-2000 were used to provide initial and boundary conditions for the mesoscale model to produce an 8-day atmospheric forecast for the western U.S. at 30 km spatial resolution. To examine the impact of initialization of the land surface state on forecast skill, two sets of simulations were performed with the land surface state initialized based on the global forecasts versus land surface conditions from a continuous mesoscale simulation driven by the NCEP reanalysis. Comparison of the skill of the global and downscaled precipitation forecasts in the western U.S. showed higher skill for the downscaled forecasts at all precipitation thresholds and increasingly larger differences at the larger thresholds. Analyses of the surface temperature forecasts show that the mesoscale forecasts generally reduced the root-mean-square error by about 1.5 C compared to the global forecasts, because of the much better resolved topography at 30 km spatial resolution. In addition, initialization of the land surface states has large impacts on the temperature forecasts, but not the precipitation forecasts. The improvements in forecast skill using downscaling could be potentially significant for improving hydrologic forecasts for managing river basins.

Leung, Lai-Yung R.; Qian, Yun

2005-03-01T23:59:59.000Z

396

Predictive Simulation | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Predictive 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, FRAPCON, RELAP5, and MELCOR are just a few examples of current computing tools used in the regulation and operation of nuclear power plants. While these conventional tools have been updated for today's technology, they still suffer from limitations of their original

397

Improved Life and Life Prediction  

NLE Websites -- All DOE Office Websites (Extended Search)

Life and Life and Life Prediction University of North Dakota Forrest Ames #086 *Low NOx combustor turbulence characteristics were documented and should aid designers in the prediction of surface heat load. *Data was assessed by Rolls Royce and P&W and is now being used. *Future catalytic combustor designs should benefit from the enhanced ability to predict heat load. * New catalytic combustor technology has the potential to reduce NOx emissions and heat load, and potentially increase the life of nozzle guide vanes. * Simulated combustor geometries for Rolls-Royce, GE, and Catalytica Energy Systems were tested. 1 1.5 2 2.5 3 0.5 1 1.5 2 Relative Engine Size (Re C x 10 6 ) Relative Vane Heat Load (St AVE /St AVE ,Low Turbulence) CC, Conventional Vane DLN, Conventional Vane AC, Conventional Vane

398

Predictive Maintenance Primer: Revision to NP-7205  

Science Conference Proceedings (OSTI)

The "Predictive Maintenance Primer" revision provides nuclear plant personnel with current information regarding the predictive maintenance technologies and their applications. This guide will assist a plant in improving its predictive maintenance program.

2003-11-06T23:59:59.000Z

399

Essays on predictability of stock returns  

E-Print Network (OSTI)

This thesis consists of three chapters exploring predictability of stock returns. In the first chapter, I suggest a new approach to analysis of stock return predictability. Instead of relying on predictive regressions, I ...

Rytchkov, Oleg

2007-01-01T23:59:59.000Z

400

EOF-Based Linear Prediction Algorithm: Theory  

Science Conference Proceedings (OSTI)

This study considers the theory of a general three-dimensional (space and time) statistical prediction/extrapolation algorithm. The predictor is in the form of a linear data filter. The prediction kernel is based on the minimization of prediction ...

Kwang-Y. Kim; Gerald R. North

1998-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Classical approaches to predicting industrial noise  

Science Conference Proceedings (OSTI)

Predicting operational noise levels is an essential part of designing an industrial facility. Community noise levels are usually predicted for environmental assessment and licensing. In?plant noise levels are predicted

Frank H. Brittain

1992-01-01T23:59:59.000Z

402

Forecasting consumer products using prediction markets  

E-Print Network (OSTI)

Prediction Markets hold the promise of improving the forecasting process. Research has shown that Prediction Markets can develop more accurate forecasts than polls or experts. Our research concentrated on analyzing Prediction ...

Trepte, Kai

2009-01-01T23:59:59.000Z

403

Prediction of diet quality parameters  

E-Print Network (OSTI)

Research was conducted to determine the feasibility of predicting percent dietary crude protein (CP), phosphorus (P), and digestible organic matter (DOM) of white-tailed deer (Odocoileus virginianus) through analysis of feces with near infrared reflectance spectroscopy (NIRS). Feeding trials were conducted with stall-fed, white-tailed deer. Seventy-six rations were formulated with combinations of over 50 forage species representing a broad range of values and composition. Fecal samples were collected on days 6 and 7 after feeding the rations. Micro-Kjeldahl procedure was used to determine CP and P of each ration. Digestible organic matter was determined by in vitro analysis corrected for known in vivo digestibility. Fecal NIRS scans were paired with dietary CP, P and DOM values to establish a reference data set and resulting equations. A 7-wavelength equation for CP, 8-wavelength equation for P, and 4-wavelength equation for DOM, allowed good predictions of the data set: le=0.94, 0,94, and 0.89, SEC=0.70@ 0.02, and 2.64, n--l 1 1, 114, and 117, respectively. Validation of selected equations with an independent sample set yielded acceptable results: SEP=0.87, 0.02, 2.89, R2=0.94, 0.93, and 0.85, for CP, P and DOM, respectively. Geographic spectral stability of predictive equations was assessed for four different ecological communities. Performance was encouraging given the limited data set and vegetational regions forage was harvested from. A hierarchical equation system formulated with six separate equations for CP, P and DOM enhanced prediction capabilities. Results of this study indicate prediction of diet quality for white-tailed deer with NIRS fecal scans can provide managers with critical information necessary for proper nutritional management of free-ranging deer populations. Further work is necessary to increase geographical robustness of the predictive equations.

Showers, Scott Everett

1997-01-01T23:59:59.000Z

404

Performance of Maximum Likelihood Estimators of Mean Power and Doppler Velocity with A Priori Knowledge of Spectral Width  

Science Conference Proceedings (OSTI)

The performance of the maximum likelihood (ML) estimates of mean velocity and signal power for Doppler radar and Doppler lidar, assuming known signal spectral width, is presented. The results are compared with the theoretical limit of the Cramer–...

Rod Frehlich

1999-11-01T23:59:59.000Z

405

A Comparative Study of Maximum and Minimum Temperatures over Argentina: NCEP–NCAR Reanalysis versus Station Data  

Science Conference Proceedings (OSTI)

This paper compares surface-station temperature observations over Argentina with gridpoint analyses available in the NCEP–NCAR reanalysis dataset. The primary objective is to determine whether the maximum and minimum surface temperatures from the ...

Matilde M. Rusticucci; Vernon E. Kousky

2002-08-01T23:59:59.000Z

406

Dependence of Extreme Daily Maximum Temperatures on Antecedent Soil Moisture in the Contiguous United States during Summer  

Science Conference Proceedings (OSTI)

The paper presents an analysis of the dependence of summertime daily maximum temperature on antecedent soil moisture using daily surface observations from a selection of stations in the contiguous United States and daily time series of soil ...

Imke Durre; John M. Wallace; Dennis P. Lettenmaier

2000-07-01T23:59:59.000Z

407

A Satellite Method to Identify Structural Properties of Mesoscale Convective Systems Based on the Maximum Spatial Correlation Tracking Technique (MASCOTTE)  

Science Conference Proceedings (OSTI)

A simple, fully automated, and efficient method to determine the structural properties and evolution (tracking) of cloud shields of convective systems (CS) is described. The method, which is based on the maximum spatial correlation tracking ...

Leila M. V. Carvalho; Charles Jones

2001-10-01T23:59:59.000Z

408

Spatial Interpolation of Daily Maximum and Minimum Air Temperature Based on Meteorological Model Analyses and Independent Observations  

Science Conference Proceedings (OSTI)

Hourly meteorological forecast model initializations are used to guide the spatial interpolation of daily cooperative network station data in the northeastern United States. The hourly model data are transformed to daily maximum and minimum ...

Arthur T. DeGaetano; Brian N. Belcher

2007-11-01T23:59:59.000Z

409

A Numerical Study on the Atmospheric Circulation over the Midlatitude North Pacific during the Last Glacial Maximum  

Science Conference Proceedings (OSTI)

The dynamics of the atmospheric circulation change over the midlatitude North Pacific under the boundary conditions during the last glacial maximum (LGM) have been studied by atmospheric general circulation models (GCMs) with different ocean ...

Wataru Yanase; Ayako Abe-Ouchi

2010-01-01T23:59:59.000Z

410

A Southeastern South American Daily Gridded Dataset of Observed Surface Minimum and Maximum Temperature for 1961–2000  

Science Conference Proceedings (OSTI)

This study presents a southeastern South American gridded dataset of daily minimum and maximum surface temperatures for 1961–2000. The data used for the gridding are observed daily data from meteorological stations in Argentina, Brazil, Paraguay, and ...

Bárbara Tencer; Matilde Rusticucci; Phil Jones; David Lister

2011-10-01T23:59:59.000Z

411

An Eddy Parameterization Based on Maximum Entropy Production with Application to Modeling of the Arctic Ocean Circulation  

Science Conference Proceedings (OSTI)

An eddy parameterization derived from statistical mechanics of potential vorticity is applied for inviscid shallow-water equations. The solution of a variational problem based on the maximum entropy production (MEP) principle provides, with some ...

Igor Polyakov

2001-08-01T23:59:59.000Z

412

Regional Climate Simulations for Impact Assessment: Project to Intercompare Regional Climate Simulations (PIRCS) Interim Report -- 1998  

Science Conference Proceedings (OSTI)

This project provides the first direct intercomparison of regional climate model predictions with observations, as a means to quantify the uncertainties in future predictions of climate change. Results from regional climate model simulations will be inputs to national and international assessments of possible future climate change and impacts due to increased emissions of greenhouse gases and aerosols.

1998-12-31T23:59:59.000Z

413

HWVP melter lifetime prediction letter  

SciTech Connect

Preliminary predictions were made of the time to reach hypothesized operational limits of the HWVP melter due to build up of a noble metals sludge layer on the melter floor. Predictions were made with the TEMPEST computer program, Version T2.9h, for use in the MPA activity in the Pacific Northwest Laboratory`s (PNL) Hanford Waste Vitrification Plant (HWVP) Technology Development (PHTD) effort. The NWEST computer program (Trent and Eyler 1993) is a PNL-MA-70/Part 2 -- Good Practices Standard (QA Level III) research and development software tool.

Eyler, L.L.; Mahoney, L.A.; Elliott, M.L.

1996-03-01T23:59:59.000Z

414

Benefits of the International Residential Code's Maximum Solar heat Gain Coefficient Requirement for Windows  

E-Print Network (OSTI)

Texas adopted in its residential building energy code a maximum 0.40 solar heat gain coefficient (SHGC) for fenestration (e.g., windows, glazed doors and skylights)-a critical driver of cooling energy use, comfort and peak demand. An analysis of the expected costs and benefits of low solar heat gain glazing, and specifically the SHGC requirement in the new Texas Residential Building Energy Code,1 shows that the 0.40 SHGC requirement is ideal for Texas and that the benefits far outweigh the expected costs. For consumers, the requirement will increase comfort and reduce their cost of home ownership. The anticipated public benefits are also substantial - the result of full implementation can be expected to: 1) Reduce cumulative statewide cooling energy use over ten years by 15 billion kWh; 2) Reduce cumulative statewide electric peak demand over ten years by over 1200 MW; 3) Result in cooling cost savings of more than a billion dollars; and 4) Reduce cumulative statewide key air pollutants.

Stone, G. A.; DeVito, E. M.; Nease, N. H.

2002-01-01T23:59:59.000Z

415

Building Technologies Office: Integrated Predictive Demand Response  

NLE Websites -- All DOE Office Websites (Extended Search)

Integrated Predictive Integrated Predictive Demand Response Controller Research Project to someone by E-mail Share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Facebook Tweet about Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Twitter Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Google Bookmark Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Delicious Rank Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on Digg Find More places to share Building Technologies Office: Integrated Predictive Demand Response Controller Research Project on AddThis.com...

416

Federal Energy Management Program: Predictive Maintenance Technologies  

NLE Websites -- All DOE Office Websites (Extended Search)

Technologies to someone by E-mail Share Federal Energy Management Program: Predictive Maintenance Technologies on Facebook Tweet about Federal Energy Management Program: Predictive...

417

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

Reports and Publications (EIA)

As part of 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 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.

Information Center

2005-02-01T23:59:59.000Z

418

Predict flare noise and spectrum  

Science Conference Proceedings (OSTI)

Predicting flare combustion noise is important to ensure the flare is a certain distance from inhabited areas. Generally, it not feasible to increase the stack height to lower the overall noise at a particular point. This article shows how to calculate flare noise including spectrum considerations. Depending on the spectrum, a lower power noise source may sound louder than a higher power source.

Leite, O.C. (Pilgrim Steel Co., Glassboro, NJ (US))

1988-12-01T23:59:59.000Z

419

Better cross company defect prediction  

Science Conference Proceedings (OSTI)

How can we find data for quality prediction? Early in the life cycle, projects may lack the data needed to build such predictors. Prior work assumed that relevant training data was found nearest to the local project. But is this the best approach? ...

Fayola Peters, Tim Menzies, Andrian Marcus

2013-05-01T23:59:59.000Z

420

Predictive Maintenance Program Implementation Experience  

Science Conference Proceedings (OSTI)

Predictive maintenance (PDM) is a process of collecting data, assessing machinery condition, and deciding when to perform maintenance. PDM saves money and improves machinery reliability as compared to preventive or corrective maintenance. This report describes the implementation of PDM programs at Commonwealth Edison's (ComEd's) fossil power plants.

1998-12-29T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Exploiting nonstationarity for performance prediction  

Science Conference Proceedings (OSTI)

Real production applications ranging from enterprise applications to large e-commerce sites share a crucial but seldom-noted characteristic: The relative frequencies of transaction types in their workloads are nonstationary, i.e., the transaction ... Keywords: LAR regression, enterprise, internet services, mutli-tier, noninvasive, nonstationarity, performance prediction, realistic workloads

Christopher Stewart; Terence Kelly; Alex Zhang

2007-06-01T23:59:59.000Z

422

Cost prediction for ray shooting  

Science Conference Proceedings (OSTI)

The ray shooting problem arises in many different contexts. For example, solving it efficiently would remove a bottleneck when images are ray-traced in computer graphics. Unfortunately, theoretical solutions to the problem are not very practical, ... Keywords: average performance, cost model, cost prediction, octree, ray shooting, space decomposition

Boris Aronov; Hervé Brönnimann; Allen Y. Chang; Yi-Jen Chiang

2002-06-01T23:59:59.000Z

423

Report: Strategic Planning Impacts  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Strategic Planning Impacts 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 complex will also help to lower overall lifecycle costs, create jobs, and allow the program to capitalize on its past successes. Implementation of ARRA is a high-visibility endeavor that has the potential to impact the EM base program's day-to-day operations and processes.

424

Granular Dynamics during Impact  

E-Print Network (OSTI)

We study the impact of a projectile onto a bed of 3 mm grains immersed in an index-matched fluid. Specifically, we vary the amount of prestrain on the sample, strengthening the force chains within the system. We find this affects only the prefactor of linear depth-dependent term in the stopping force. We therefore attribute this term to pressure within the material, and not the grain-intruder friction as is sometimes suggested. Using a laser sheet scanning technique to visualize internal grain motion, a high-speed camera, and particle tracking, we can measure the trajectory of each grain throughout an impact event. Microscopically, our results indicate that weaker initial force chains result in more irreversible, plastic rearrangements during impact, suggesting static friction between grains does play a substantial role in the energy dissipation within the granular material.

Kerstin Nordstrom; Emily Lim; Matthew Harrington; Wolfgang Losert

2013-04-23T23:59:59.000Z

425

An analysis of maximum residential energy-efficiency in hot and humid climates  

E-Print Network (OSTI)

Energy-efficient building design involves minimizing the energy use and optimizing the performance of individual systems and components of the building. The benefits of energyefficient design, in the residential sector, are direct and tangible, provided that design strategies with a substantial combined energy and cost-saving potential are adopted. Many studies have been performed to evaluate the energy-saving potential and the costeffectiveness of various design options, and to identify conditions for optimizing the performance of building systems and components. The results of these studies, published in various resources, were analyzed discretely using different techniques, and were reported using different bases for comparison. Considering the complex interaction of, and energy flows through various building components, it is difficult to directly compare/combine the results from various studies to determine the energy-saving potential of combination of strategies, and to select an appropriate set of strategies for making design decisions. Therefore, this thesis develops a comprehensive survey and analysis of energy-efficient design strategies and their energy-saving potential, in isolation as well as in combination, using a DOE-2 simulation model of a prototype house in the hot and humid climate of Houston, Texas. Optimized strategies that included building configuration, materials/ assembly for building envelop components, and efficient mechanical and electrical systems, equipment and appliances, were applied in combination that could minimize the annual energy use. Application of these strategies is expected to allow downsizing systems and equipment and to confirm their operation at their rated performance, resulting in additional installation and operation cost savings. The study is concluded by outlining the procedures for selecting optimized set of strategies, and by developing guidelines for achieving maximum energy-efficiency in singlefamily detached houses in hot and humid climates. Thus, this study will facilitate the selection of energy-saving measures for their individual or combined application for developing energyefficient residences in hot and humid climates.

Malhotra, Mini

2005-12-01T23:59:59.000Z

426

A Stochastic Maximum Principle for a Stochastic Differential Game of a Mean-Field Type  

Science Conference Proceedings (OSTI)

We construct a stochastic maximum principle (SMP) which provides necessary conditions for the existence of Nash equilibria in a certain form of N-agent stochastic differential game (SDG) of a mean-field type. The information structure considered for the SDG is of a possible asymmetric and partial type. To prove our SMP we take an approach based on spike-variations and adjoint representation techniques, analogous to that of S. Peng (SIAM J. Control Optim. 28(4):966-979, 1990) in the optimal stochastic control context. In our proof we apply adjoint representation procedures at three points. The first-order adjoint processes are defined as solutions to certain mean-field backward stochastic differential equations, and second-order adjoint processes of a first type are defined as solutions to certain backward stochastic differential equations. Second-order adjoint processes of a second type are defined as solutions of certain backward stochastic equations of a type that we introduce in this paper, and which we term conditional mean-field backward stochastic differential equations. From the resulting representations, we show that the terms relating to these second-order adjoint processes of the second type are of an order such that they do not appear in our final SMP equations. A comparable situation exists in an article by R. Buckdahn, B. Djehiche, and J. Li (Appl. Math. Optim. 64(2):197-216, 2011) that constructs a SMP for a mean-field type optimal stochastic control problem; however, the approach we take of using these second-order adjoint processes of a second type to deal with the type of terms that we refer to as the second form of quadratic-type terms represents an alternative to a development, to our setting, of the approach used in their article for their analogous type of term.

Hosking, John Joseph Absalom, E-mail: j.j.a.hosking@cma.uio.no [University of Oslo, Centre of Mathematics for Applications (CMA) (Norway)

2012-12-15T23:59:59.000Z

427

Assess Potential Changes in Business Travel that Impact Greenhouse Gas  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Changes in Business Travel that Impact Greenhouse Changes in Business Travel that Impact Greenhouse Gas Emissions Assess Potential Changes in Business Travel that Impact Greenhouse Gas Emissions October 7, 2013 - 1:22pm Addthis YOU ARE HERE Step 1 For a Federal agency, changes in the demand for business travel can be difficult to predict. Changes in the nature of the agency's work may have a substantial impact on the demand for business travel. It is therefore important to account for these changes when planning for greenhouse gas (GHG) emissions reduction. Conditions that may contribute to a significant increase or decrease in the agency's business travel, beyond specific efforts to reduce business travel demand, include: Significant changes in the agency's budget Addition or completion of major program activities that require

428

Numerical prediction of mobile offshore drilling unit drift during hurricanes  

E-Print Network (OSTI)

Hurricanes Ivan, Katrina, and Rita tracked through a high-density corridor of the oil and gas infrastructures in the Gulf of Mexico. Extreme winds and large waves exceeding the 100-year design criteria of the MODUs during these hurricanes, caused the failure of mooring lines to a number of Mobile Offshore Drilling Units (MODUs) in the Gulf of Mexico. In addition to the damage MODUs undertook during these severe hurricanes, drifting MODUs might impose a great danger to other critical elements of the oil and gas industry. Drifting MODUs may potentially collide with fixed or floating platforms and transportation hubs or rupture pipelines by dragging anchors over the seabed. Therefore, it is desirable to understand the physics of the drift of a MODU under the impact of severe wind, wave, and current and have the capabilities to predict the trajectory of a MODU that is drifting. In this thesis, a numerical program, named “DRIFT,” is developed for predicting the trajectory of drifting MODUs given met-ocean conditions (wind, current, and wave) and the characteristics of the MODU. To verify “DRIFT,” the predicted drift of two typical MODUs is compared with the corresponding measured trajectory recorded by Global Positioning System (GPS). To explore the feasibility and accuracy of predicting the trajectory of a drifting MODU based on real-time or hindcast met-ocean conditions and limited knowledge of the condition of the drift, this study employed a simplified equation describing only the horizontal (surge, sway, and yaw) motions of a MODU under the impact of steady wind, current, and wave forces. The simplified hydrodynamic model neglects the first- and second-order oscillatory wave forces, unsteady wind forces, wave drift damping, and the effects of body oscillation on the steady wind and current forces. It was assumed that the net effects of the oscillatory forces on the steady motion are insignificant. Two types of MODU drift predictions are compared with the corresponding measured trajectories: 1) MODU drift prediction with 30-minute corrections of the trajectory (every 30 minutes the simulation of the drift starts from the measured trajectory), and 2) continuous MODU drift prediction without correction.

Tahchiev, Galin Valentinov

2007-05-01T23:59:59.000Z

429

Predictivity of models with spontaneously broken non-Abelian discrete flavor symmetries  

E-Print Network (OSTI)

In a class of supersymmetric flavor models predictions are based on residual symmetries of some subsectors of the theory such as those of the charged leptons and neutrinos. However, the vacuum expectation values of the so-called flavon fields generally modify the K\\"ahler potential of the setting, thus changing the predictions. We derive simple analytic formulae that allow us to understand the impact of these corrections on the predictions for the masses and mixing parameters. Furthermore, we discuss the effects on the vacuum alignment and on flavor changing neutral currents. Our results can also be applied to non--supersymmetric flavor models.

Chen, Mu-Chun; Omura, Yuji; Ratz, Michael; Staudt, Christian

2013-01-01T23:59:59.000Z

430

An analytical model for predicting the remaining battery capacity of lithium-ion batteries  

E-Print Network (OSTI)

Abstract—Predicting the residual energy of the battery source that powers a portable electronic device is imperative in designing and applying an effective dynamic power management policy for the device. This paper starts up by showing that a 30 % error in predicting the battery capacity of a lithium-ion battery can result in up to 20 % performance degradation for a dynamic voltage and frequency scaling algorithm. Next, this paper presents a closed form analytical expression for predicting the remaining capacity of a lithium-ion battery. The proposed high-level model, which relies on online current and voltage measurements, correctly accounts for the temperature and cycle aging effects. The accuracy of the highlevel model is validated by comparing it with DUALFOIL simulation results, demonstrating a maximum of 5 % error between simulated and predicted data. Index Terms—Accelerated rate capacity, cycle aging and dynamic voltage scaling, remaining battery capacity, temperature. I.

Peng Rong; Student Member; Massoud Pedram

2003-01-01T23:59:59.000Z

431

Learning causality for news events prediction  

Science Conference Proceedings (OSTI)

The problem we tackle in this work is, given a present news event, to generate a plausible future event that can be caused by the given event. We present a new methodology for modeling and predicting such future news events using machine learning and ... Keywords: future prediction, news prediction, web knowledge for future prediction

Kira Radinsky; Sagie Davidovich; Shaul Markovitch

2012-04-01T23:59:59.000Z

432

New perspectives and methods in link prediction  

Science Conference Proceedings (OSTI)

This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse networks presents a significant challenge due to the inherent disproportion of ... Keywords: class imbalance, link prediction, machine learning, networks

Ryan N. Lichtenwalter; Jake T. Lussier; Nitesh V. Chawla

2010-07-01T23:59:59.000Z

433

Federal Energy Management Program: Predictive Maintenance  

NLE Websites -- All DOE Office Websites (Extended Search)

to someone by E-mail to someone by E-mail Share Federal Energy Management Program: Predictive Maintenance on Facebook Tweet about Federal Energy Management Program: Predictive Maintenance on Twitter Bookmark Federal Energy Management Program: Predictive Maintenance on Google Bookmark Federal Energy Management Program: Predictive Maintenance on Delicious Rank Federal Energy Management Program: Predictive Maintenance on Digg Find More places to share Federal Energy Management Program: Predictive Maintenance on AddThis.com... Sustainable Buildings & Campuses Operations & Maintenance Federal Requirements Program Management Commissioning Metering Computerized Maintenance Management Systems Maintenance Types Reactive Preventive Predictive Reliability-Centered Major Equipment Types Resources

434

Predicting and mitigating the net greenhouse gas emissions of crop rotations in Western Europe  

E-Print Network (OSTI)

Predicting and mitigating the net greenhouse gas emissions of crop rotations in Western Europe gases (GHG) con- tributing to net greenhouse gas balance of agro-ecosystems. Evaluating the impact to the final greenhouse gas balance. One experimental site (involving a maize-wheat-barley-mustard rotation

Paris-Sud XI, Université de

435

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

DOE, USDA, and NSF Launch Joint Climate Change Prediction Research 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 Prediction Using Earth System Models (EaSM), the program is designed to generate models that -- significantly more powerful than existing models -- can help decision-makers develop adaptation strategies addressing climate change. These models will be developed through a joint, interagency solicitation

436

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

SciTech Connect

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)

Chao, R.M.; Ko, S.H.; Lin, I.H. [Department of Systems and Naval Mechatronics Engineering, National Cheng Kung University, Tainan, Taiwan 701 (China); Pai, F.S. [Department of Electronic Engineering, National University of Tainan (China); Chang, C.C. [Department of Environment and Energy, National University of Tainan (China)

2009-12-15T23:59:59.000Z

437

Catalysis-by-design impacts assessment  

SciTech Connect

Catalyst researchers have always recognized the need to develop a detailed understanding of the mechanisms of catalytic processes, and have hoped that it would lead to developing a theoretical predictive base to guide the search for new catalysts. This understanding allows one to develop a set of hierarchical models, from fundamental atomic-level ab-initio models to detailed engineering simulations of reactor systems, to direct the search for optimized, efficient catalyst systems. During the last two decades, the explosions of advanced surface analysis techniques have helped considerably to develop the building blocks for understanding various catalytic reactions. An effort to couple these theoretical and experimental advances to develop a set of hierarchical models to predict the nature of catalytic materials is a program entitled Catalysis-by-Design (CRD).'' In assessing the potential impacts of CBD on US industry, the key point to remember is that the value of the program lies in developing a novel methodology to search for new catalyst systems. Industrial researchers can then use this methodology to develop proprietary catalysts. Most companies involved in catalyst R D have two types of ongoing projects. The first type, what we call market-driven R D,'' are projects that support and improve upon a company's existing product lines. Project of the second type, technology-driven R D,'' are longer term, involve the development of totally new catalysts, and are initiated through scientists' research ideas. The CBD approach will impact both types of projects. However, this analysis indicates that the near-term impacts will be on market-driven'' projects. The conclusions and recommendations presented in this report were obtained by the authors through personal interviews with individuals involved in a variety of industrial catalyst development programs and through the three CBD workshops held in the summer of 1989. 34 refs., 7 figs., 7 tabs.

Fassbender, L L; Young, J K [Pacific Northwest Lab., Richland, WA (USA); Sen, R K [Sen (R.K.) and Associates, Washington, DC (USA)

1991-05-01T23:59:59.000Z

438

Health impacts from urban air pollution in China : the burden to the economy and the benefits of policy  

E-Print Network (OSTI)

In China, elevated levels of urban air pollution result in significant adverse health impacts for its large and rapidly growing urban population. An expanded version of the Emissions Prediction and Policy Analysis (EPPA), ...

Matus, Kira J. (Kira Jen)

2005-01-01T23:59:59.000Z

439

Impacts of Typhoon Track and Island Topography on the Heavy Rainfalls in Taiwan Associated with Morakot (2009)  

E-Print Network (OSTI)

to predict the track, intensity change, and precipitation of TCs as they approach land (Yeh and Elsberry 1993 an important impact on low-level convergence and the upstream water vapor supply (e.g., Chang 1982; Chang et al

440

The Impact of Manually Derived Southern Hemisphere Sea Level Pressure Data upon Forecasts from a Global Model  

Science Conference Proceedings (OSTI)

Experiments have been conducted within the framework of the Australian Bureau of Meteorology's global data assimilation and prediction system to assess the forecast impact of Southern Hemisphere sea level pressure estimates [paid observations (...

R. Seaman; P. Steinle; W. Bourke; T. Hart

1993-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Draft Environmental Impact Statement  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Draft Draft Environmental Impact Statement for the Proposed Abengoa Biorefinery Project near Hugoton, Stevens County, Kansas Volume 2 - Appendices U.S. Department of Energy Golden Field Office Office of Energy Efficiency and Renewable Energy DOE/EIS-0407D September 2009 Cover photos courtesy of (left to right): Southeast Renewable Fuels, LLC DOE National Renewable Energy Laboratory Public domain Draft Environmental Impact Statement for the Proposed Abengoa Biorefinery Project near Hugoton, Stevens County, Kansas Volume 2 - Appendices U.S. Department of Energy Golden Field Office Office of Energy Efficiency and Renewable Energy DOE/EIS-0407D September 2009 COVER SHEET RESPONSIBLE AGENCY: U.S. Department of Energy (DOE) COOPERATING AGENCY: The U.S. Department of Agriculture-Rural Development is a cooperating

442

Economic Impact & Diversity  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ECONOMIC IMPACT AND DIVERSITY ECONOMIC IMPACT AND DIVERSITY FOURTH QUARTER STATUS (As of August 10, 2006) Executive Summary: ED is responsible for managing the department's on-going small business programs, Affirmative Action programs, Employee Concerns program, EEO programs, and the Department's Minority Education program. ED serves as the support office for department-wide efforts to broaden and/or diversify the Department's base as it relates to employment, contracting and financial assistance awards. Where we are today: ED finalized the reorganization/restructuring process which reduced the offices within ED from five to three. Along with this process, ED moved the Employee Concerns and Special Emphasis activities and personnel to the Office of Civil Rights and Diversity

443

PRIVACY IMPACT ASSESSMENT: Office  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Office 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 1- PRIVACY NEEDS ASSESSMENT Date Departmental Element & Site August 1, 2009 U.S. Department of Energy; Office of Science; Office of Workforce Development for Teachers and Scientists (WDTS) System location - Pacific Northwest National Laboratory, Richland, WA Name of Information iPASS System for DOE Office of Science laboratory fellowship programs, including

444

PRIVACY IMPACT ASSESSMENT: Office  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Office 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 NEEDS ASSESSMENT Date Depamnf!l1tal Elel1l~nt&$ite july 23, 2009 Office of Information Resources Office of Management DOE Headquarters, Germantown, Germantown Computer Center Server Room Nameonl1fol'l11i1tion Sysleijlprl'f 'Project FOIAXpress ExhibitProj~tUID TBD NeWPIA ~ Update D Please indicate whether this is a new

445

The economic impacts of highway widening projects  

E-Print Network (OSTI)

Highway widening is one alternative for increasing capacity on a particular section of roadway. Capacity is the maximum hourly rate at which vehicles can reasonably be expected to traverse a uniform section of a roadway during a given time under prevailing roadway, traffic, and control conditions. Added capacity has economic, environmental, and social impact tradeoffs that must be considered. Economic tradeoffs of land value impacts were considered for this research study. Land scarcity, as related to value, was analyzed with respect to highway widening improvements on abutting land use. Previous literature included several modelling techniques used for measuring economic impacts of highway improvements. The before-and-after study approach was selected for analyzing land values, rather than parallel-area or control-area study approaches. This study involved a before-and-after economic analysis, where the before period d represented economic make-up of land parcels without Improvements, while the after period represented market value on land parcels once construction was completed. A design matrix was developed from data available for two highway types, multilane highway and freeway, on pre-selected sites. Location selection was based on prior knowledge and availability of land value data. Study variables included four design characteristics and four property types. These variables were used to determine whether increases in land value occurred on adjacent properties as a result of widening. A paired data statistical analysis was performed for both facility types. Results of the statistical analysis indicated that property values generally decreased for both facilities. Impacts on abutting property for each location reflected minimal changes in value. Therefore, the results do not suggest an increase in property values because of highway widening. The most important recommendation from this research study includes a combination of two factors.- 1) further research needed to look at areas outside of the construction zone and 2) consideration for lengthening the after study period. The parallel-area or control-area study approach is recommended for further study of economic impacts on land values. In addition, more data for the after construction period, preferably five to ten years, could be applied to better estimate effects.

Jackson, Patricia Ann

1997-01-01T23:59:59.000Z

446

Prediction of turbulence control for arbitrary periodic spanwise wall movement  

E-Print Network (OSTI)

In order to generalize the well-known spanwise-oscillating-wall technique for drag reduction, non-sinusoidal oscillations of a solid wall are considered as a means to alter the skin-friction drag in a turbulent channel flow. A series of Direct Numerical Simulations is conducted to evaluate the control performance of nine different temporal waveforms, in addition to the usual sinusoid, systematically changing the wave amplitude and the period for each waveform. The turbulent average spanwise motion is found to coincide with the laminar Stokes solution that is constructed, for the generic waveform, through harmonic superposition. This allows us to define and compute, for each waveform, a new penetration depth of the Stokes layer which correlates with the amount of turbulent drag reduction, and eventually to predict both turbulent drag reduction and net energy saving rate for arbitrary waveforms. Among the waveforms considered, the maximum net energy saving rate is obtained by the sinusoidal wave at its optimal ...

Cimarelli, Andrea; Hasegawa, Yosuke; De Angelis, Elisabetta; Quadrio, Maurizio

2013-01-01T23:59:59.000Z

447

Project X Broader Impacts  

E-Print Network (OSTI)

Part-3 of "Project X: Accelerator Reference Design, Physics Opportunities, Broader Impacts". The proposed Project X proton accelerator at Fermilab, with multi-MW beam power and highly versatile beam formatting, will be a unique world-class facility to explore particle physics at the intensity frontier. Concurrently, however, it can also facilitate important scientific research beyond traditional particle physics and provide unprecedented opportunities in applications to problems of great national importance in the nuclear energy and security sector.

Asner, D M; Henderson, S; Plunkett, R; Wootan, D W; Peterson, M A; Senor, D; Tschirhart, R; Grasselino, A; Romanenko, A; MacDougall, G; Heffner, R H

2013-01-01T23:59:59.000Z

448

Cluster-Impact Fusion  

Science Conference Proceedings (OSTI)

This report considers the theoretical interpretation of cluster-impact fusion (CIF). The proton energy spectrum of CIF shows it to be hot fusion on a microscopic atomic scale. The temperature of the reaction can be determined by the Doppler-like broadening of the 3.025 MeV proton line. The spectrum also indicates that the high temperature results from a one-dimensional rather than a three-dimensional velocity distribution.

1992-05-01T23:59:59.000Z

449

Technology's Impact on Production  

SciTech Connect

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.

Rachel Amann; Ellis Deweese; Deborah Shipman

2009-06-30T23:59:59.000Z

450

Technology's Impact on Production  

Science Conference Proceedings (OSTI)

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: 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. 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. 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.

Amann, Rachel; Deweese, Ellis; Shipman, Deborah

2009-06-30T23:59:59.000Z

451

GLOBAL IMPACT FROM THE HEART  

E-Print Network (OSTI)

GLOBAL IMPACT FROM THE HEART OF NORTHERN IRELAND #12;#12;CHANCELLOR'S WELCOME 4 VICE: INNOVATIVE AND WORLD-CLASS 18 CONTACT 26 CONTENTS 3GLOBAL IMPACT FROM THE HEART OF NORTHERN IRELAND #12;Queen THE HEART OF NORTHERN IRELANDGLOBAL IMPACT FROM THE HEART OF NORTHERN IRELAND CHANCELLOR'S WELCOME

Müller, Jens-Dominik

452

Energy Efficiency Program Impact Evaluation Guide | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Efficiency Program Impact Evaluation Guide Energy Efficiency Program Impact Evaluation Guide This Energy Efficiency Program Impact Evaluation Guide describes and provides guidance...

453

Building Technologies Office: History and Impacts  

NLE Websites -- All DOE Office Websites (Extended Search)

and Impacts on Twitter Bookmark Building Technologies Office: History and Impacts on Google Bookmark Building Technologies Office: History and Impacts on Delicious Rank Building...

454

Maximum Freezing Degree-Days as a Winter Severity Index for the Great Lakes, 1897–1977  

Science Conference Proceedings (OSTI)

General regional and temporal trends in maximum freezing degree-days (FDD's) are identified for the shore zone of the Great Lakes Basin for the 80 winter periods 1897–1977. The cumulative frequency distribution of FDD's at cub of 25 locations is ...

Raymond A. Assel

1980-09-01T23:59:59.000Z

455

Maximum-Intensity Volumes for Fast Contouring of Lung Tumors Including Respiratory Motion in 4DCT Planning  

Science Conference Proceedings (OSTI)

Purpose: To assess the accuracy of maximum-intensity volumes (MIV) for fast contouring of lung tumors including respiratory motion. Methods and Materials: Four-dimensional computed tomography (4DCT) data of 10 patients were acquired. Maximum-intensity volumes were constructed by assigning the maximum Hounsfield unit in all CT volumes per geometric voxel to a new, synthetic volume. Gross tumor volumes (GTVs) were contoured on all CT volumes, and their union was constructed. The GTV with all its respiratory motion was contoured on the MIV as well. Union GTVs and GTVs including motion were compared visually. Furthermore, planning target volumes (PTVs) were constructed for the union of GTVs and the GTV on MIV. These PTVs were compared by centroid position, volume, geometric extent, and surface distance. Results: Visual comparison of GTVs demonstrated failure of the MIV technique for 5 of 10 patients. For adequate GTV{sub MIV}s, differences between PTVs were <1.0 mm in centroid position, 5% in volume, {+-}5 mm in geometric extent, and {+-}0.5 {+-} 2.0 mm in surface distance. These values represent the uncertainties for successful MIV contouring. Conclusion: Maximum-intensity volumes are a good first estimate for target volume definition including respiratory motion. However, it seems mandatory to validate each individual MIV by overlaying it on a movie loop displaying the 4DCT data and editing it for possible inadequate coverage of GTVs on additional 4DCT motion states.

Rietzel, Eike [Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA (United States); Abteilung Biophysik, Gesellschaft fuer Schwerionenforschung, Darmstadt (Germany)], E-mail: eike@rietzel.net; Liu, Arthur K.; Chen, George T.Y.; Choi, Noah C. [Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA (United States)

2008-07-15T23:59:59.000Z

456

Evaluation of the Maximum Cross-Correlation Method of Estimating Sea Surface Velocities from Sequential Satellite Images  

Science Conference Proceedings (OSTI)

We evaluate the method of estimating sea surface velocities from sequences of AVHRR and CZCS images using the maximum cross-correlation (MCC) technique. A set of synthetic images is created by advecting an AVHRR-SST field with a QG model velocity ...

Robin Tokmakian; P. Ted Strub; Julie McClean-Padman

1990-12-01T23:59:59.000Z

457

Causes of Reduced North Atlantic Storm Activity in a CAM3 Simulation of the Last Glacial Maximum  

Science Conference Proceedings (OSTI)

The aim of this paper is to determine how an atmosphere with enhanced mean-state baroclinity can support weaker baroclinic wave activity than an atmosphere with weak mean-state baroclinity. As a case study, a Last Glacial Maximum (LGM) model ...

Aaron Donohoe; David S. Battisti

2009-09-01T23:59:59.000Z

458

DuraCap: a Supercapacitor-Based, Power-Bootstrapping, Maximum Power Point Tracking Energy-Harvesting System  

E-Print Network (OSTI)

DuraCap: a Supercapacitor-Based, Power-Bootstrapping, Maximum Power Point Tracking Energy that stores harvested energy in supercapacitors and is voltage-compatible with lithium-ion batteries. The use of supercapacitors instead of batter- ies enables DuraCap to extend the operational life time from tens of months

Shinozuka, Masanobu

459

Climate Response at the Paleocene–Eocene Thermal Maximum to Greenhouse Gas Forcing—A Model Study with CCSM3  

Science Conference Proceedings (OSTI)

The Paleocene–Eocene Thermal Maximum (PETM; 55 Ma) is of particular interest since it is regarded as a suitable analog to future climate change. In this study, the PETM climate is investigated using the Community Climate System Model (CCSM3) with ...

A. Winguth; C. Shellito; C. Shields; C. Winguth

2010-05-01T23:59:59.000Z

460

IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 25, NO. 10, OCTOBER 2010 2531 Maximum Power Point Tracking for Photovoltaic  

E-Print Network (OSTI)

a maximum power point track- ing algorithm that optimizes solar array performance and adapts to rapidly the natural inverter ripple is designed and tested on a simulated solar array with a grid-tied inverter-variance irradiance data gathered on a rooftop array experiment in Princeton, NJ. The ES controller achieves

Kulkarni, Sanjeev

Note: This page contains sample records for the topic "maximum impacts predicted" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Changing Uses of Climate Predictions in Agriculture: Implications for Prediction Research, Providers, and Users  

Science Conference Proceedings (OSTI)

A series of seven studies of the usage of climate predictions by U.S. agribusinesses were conducted during 1981–2001, and their results have been reviewed to identify information to guide future predictive research, providers of predictions, and ...

Stanley A. Changnon

2004-06-01T23:59:59.000Z

462

Thermo-hydro-chemical Predictive analysis for the drift-scale predictive heater test,  

E-Print Network (OSTI)

Characterization Project Thermo-Hydro-Chemical Predictive90-1116 Berkeley, C A 94720 Thermo-Hydro-Chemical PredictiveVersion 1.0 Thermo-Hydro-Chemical Predictive Analysis for

Sonnenthal, Eric L.; Spycher, Nicolas; Apps, John; Simmons, Ardyth

1998-01-01T23:59:59.000Z

463

Learning to predict from textual data  

Science Conference Proceedings (OSTI)

Given a current news event, we tackle the problem of generating plausible predictions of future events it might cause. We present a new methodology for modeling and predicting such future news events using machine learning and data mining techniques. ...

Kira Radinsky; Sagie Davidovich

2012-09-01T23:59:59.000Z

464

Transforms for prediction residuals in video coding  

E-Print Network (OSTI)

Typically the same transform, the 2-D Discrete Cosine Transform (DCT), is used to compress both image intensities in image coding and prediction residuals in video coding. Major prediction residuals include the motion ...

Kam??l?, Fatih

2010-01-01T23:59:59.000Z

465

Electric Motor Predictive Maintenance: Draft Guidelines  

Science Conference Proceedings (OSTI)

Predictive Maintenance can enhance the early detection and avoidance of incipient equipment failures in electric motors. This report provides draft guidelines to support the development of electric motor predictive maintenance (EMPM) programs at utility sites.

1997-10-16T23:59:59.000Z

466

A Consensus Model for Seasonal Hurricane Prediction  

Science Conference Proceedings (OSTI)

The authors apply a procedure called Bayesian model averaging (BMA) for examining the utility of a set of covariates for predicting the distribution of U.S. hurricane counts and demonstrating a consensus model for seasonal prediction. Hurricane ...

Thomas H. Jagger; James B. Elsner

2010-11-01T23:59:59.000Z

467

Intelligent predictive control of micro heat exchanger  

Science Conference Proceedings (OSTI)

An intelligent predictive control to temperature control of a micro heat exchanger is addressed. First, the dynamics of the micro heat exchanger is identified using a locally linear model. Then, the predictive control strategy based on this model of ...

Mehdi Galily; Farzad Habibipour Roudsari; Masoum Fardis; Ali Yazdian

2005-06-01T23:59:59.000Z

468

Information Flow in Ensemble Weather Predictions  

Science Conference Proceedings (OSTI)

In a weather prediction, information flows from the initial conditions to a later prediction. The uncertainty in the initial conditions implies that such a flow should be quantified with tools from probability theory. Using several recent ...

Richard Kleeman

2007-03-01T23:59:59.000Z

469

Distributed Processing of a Regional Prediction Model  

Science Conference Proceedings (OSTI)

This paper describes the parallelization of a mesoscale-cloud-scale numerical weather prediction model and experiments conducted to assess its performance. The model used is the Advanced Regional Prediction System (ARPS), a limited-area ...

Kenneth W. Johnson; Jeff Bauer; Gregory A. Riccardi; Kelvin K. Droegemeier; Ming Xue

1994-11-01T23:59:59.000Z

470

Predictions versus measurements of turbocharger nonlinear dynamic response  

E-Print Network (OSTI)

The present work advances progress on the validation against measurements of linear and nonlinear rotordynamic models for predicting the dynamic shaft response of automotive turbochargers (TCs) supported on floating ring bearings. Waterfall spectra of measured shaft motions at the compressor and turbine ends of a test TC rotor evidences a complex response, showing synchronous (1X) and multiple subsynchronous frequencies along the entire operating speed range (maximum shaft speed ~ 65 krpm). Postprocessing of the raw test data by mathematical software allows filtering the synchronous and subsynchronous vibration components for later comparisons to predicted shaft motions. The static performance of the floating ring bearings is analyzed with in-house software (XLSFRBThermal®), which considers thermal expansion of the shaft and bearing components as well as static loading on the bearing due to lubricant feed pressure. In addition, the program calculates rotordynamic force coefficients for the inner and outer films of the floating ring bearing. The turbocharger Finite Element (FE) structural model for the linear and nonlinear analyses includes lumped masses for the compressor and turbine wheels and the thrust collar. The mass imbalance distribution on the TC rotor is estimated from the test data using a procedure derived from the two-plane balancing method with influence coefficients. The linear model yields predictions of rotor synchronous (1X) response to imbalance and damped eigenvalues. The analysis evidences that the rotor cylindrical-bending mode is unstable at all shaft speeds while the rotor conical model becomes more unstable as lubricant feed pressure decreases. The predicted synchronous (1X) motions agree well with the test data, showing a critical speed at approximately 20 krpm. The linear stability results indicate the existence of three critical speeds occurring at 4, 20 and 50 krpm. The second critical speed corresponds to the rotor cylindrical-bending mode, showing larger amplitudes of motion at the compressor nose than at the turbine end. The third critical speed associated to the rotor first bending modes is well damped. In the nonlinear transient analysis, the nonlinear equations of motion of the system (rotor-FRB) are integrated, and the bearing reaction forces are calculated at each time step in a numerical integration procedure. The model then yields predictions of total motion which is decomposed into synchronous (1X) and subsynchronous motions, amplitudes and frequencies. The nonlinear analysis predicts synchronous (1X) amplitudes that correlate well with the test data at high shaft speeds (> 30 krpm) but underpredicts the imbalance response at low shaft speeds (lubricant feed pressure and inlet temperature for the conditions tested.

Rivadeneira, Juan Carlos

2005-05-01T23:59:59.000Z

471

Available Technologies: Predicting Responsiveness of Breast ...  

Biofuels; Biotechnology & Medicine. ... ANXA9: A Therapeutic Target and Predictive Marker for Early Detection of Aggressive Breast Cancer, JIB-2371.

472

Travel Behavior and Demand Analysis and Prediction  

E-Print Network (OSTI)

and Demand Analysis and Prediction Konstadinos G. Goulias University of California Santa Barbara, Santa Barbara, CA, USA

Goulias, Konstadinos G

2007-01-01T23:59:59.000Z

473

FUEL CASK IMPACT LIMITER VULNERABILITIES  

Science Conference Proceedings (OSTI)

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.

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

2009-02-09T23:59:59.000Z

474

Environmental Impact of Smart Grid  

NLE Websites -- All DOE Office Websites (Extended Search)

Impact of Smart Grid 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: - Demand Response - Electric Vehicles - Demand Side Management - Renewables and Distributed Energy Resources - Transmission and Distribution Systems Use this knowledge to address topics for further research Key Areas of Impact 5 Key Areas of Review and Consideration for Environmental Impacts *

475

JC3 High Impact Assessment Bulletins | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

October 17, 2012 October 17, 2012 V-004: Oracle Critical Patch Update Advisory - October 2012 October 2012 Critical Patch Update, security vulnerability fixes for proprietary components of Oracle Linux will be announced in Oracle Critical Patch Updates. October 16, 2012 V-003: Suse Update For Mozillafirefox - Critical An update that fixes 25 vulnerabilities is now available. October 12, 2012 V-001: Mozilla Security vulnerabilities Mozilla Firefox / Thunderbird / SeaMonkey Multiple Vulnerabilities October 10, 2012 U-278: Microsoft Security Bulletin Advance Notification for October 2012 Microsoft Security Bulletin Advance Notification for October 2012. Microsoft has posted 1 Critical Bulletins and 6 Important Bulletins. Bulletins with the Maximum Severity Rating and Vulnerability Impact of

476

Online prediction and control nonlinear stochastic systems  

E-Print Network (OSTI)

temperature in district heat- ing systems. · Prediction of power production from the wind turbines located and their application to prediction and control within district heating systems and for prediction of wind power. Here temperature in district heating systems', Techni- cal Report IMM-REP-2002-23, Informatics and Mathematical

477

A multivariable predictive fuzzy PID control system  

Science Conference Proceedings (OSTI)

In this paper, a novel multivariable predictive fuzzy-proportional-integral-derivative (F-PID) control system is developed by incorporating the fuzzy and PID control approaches into the predictive control framework. The developed control system has two ... Keywords: BPTT, Control, Fuzzy, LM, Multivariable, PID, Predictive

Aydogan Savran

2013-05-01T23:59:59.000Z

478

A survey of online failure prediction methods  

Science Conference Proceedings (OSTI)

With the ever-growing complexity and dynamicity of computer systems, proactive fault management is an effective approach to enhancing availability. Online failure prediction is the key to such techniques. In contrast to classical reliability methods, ... Keywords: Error, failure prediction, fault, prediction metrics, runtime monitoring

Felix Salfner; Maren Lenk; Miroslaw Malek

2010-03-01T23:59:59.000Z

479

Training of neural models for predictive control  

Science Conference Proceedings (OSTI)

This paper emphasises the link between neural model training and its role in model predictive control (MPC) algorithms. This role is of fundamental importance since in MPC at each sampling instant a model is used on-line to calculate predictions of future ... Keywords: Identification, Model predictive control, Neural networks, Optimisation

Maciej ?awry?czuk

2010-03-01T23:59:59.000Z

480

Engineering model for predicting rubble motion during blasting  

SciTech Connect

Recent applications of explosives and blasting agents to rubble rock have led to requirements for more elaborate design and analysis methods. In most blasting uses, it is necessary not only to fracture the rock, but also to move the broken rubble in a predictable manner. Many in-situ extraction techniques require rubblization to take place in a confined region where rock motion is a predominate factor in creating a permeable broken bed. In this paper, an engineering model is presented which describes the large rubble motion during blasting. This model is intended to provide the blast designer with a tool for evaluation and further refinement of blasting patterns and timing sequences. In this model the rock medium is represented by a discrete series of circular regions of fractured material. These regions are set in motion by pressure loads from the explosive. The motion of the regions is calculated using a step-wise, explicit, numerical time integration method. Interaction of adjacent regions is based on inelastic impact of spherical bodies. The derivation of this model is presented along with the background for selecting loading pressure based on explosive behavior. Three typical examples, including both cratering and bench geometries, are discussed which illustrate the use of this model to predict rubble motion. This engineering representation appears to provide a practical model for use in predicting rubble motion and a tool for design evaluation of blasting in confined geometries. 15 figures.

Schamaun, J.T.

1982-12-01T23:59:59.000Z

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481

Engineering model for predicting rubble motion during blasting  

SciTech Connect

Recent applications of explosives and blasting agents to rubble rock have led to requirements for more elaborate design and analysis methods. In most blasting uses, it is necessary not only to fracture the rock, but also to move the broken rubble in a predictable manner. Many in situ extraction techniques require rubblization to take place in a confined region where rock motion is a predominate factor in creating a permeable broken bed. In this paper, an engineering model is presented which describes the large rubble motion during blasting. This model is intended to provide the blast designer with a tool for evaluation and further refinement of blasting patterns and timing sequences. In this model the rock medium is represented by a discrete series of circular regions of fractured material. These regions are set in motion by pressure loads from the explosive. The motion of the regions is calculated using a step-wise, explicit, numerical time integration method. Interaction of adjacent regions is based on inelastic impact of spherical bodies. The derivation of this model is presented along with the background for selecting loading pressure based on explosive behavior. Three typical examples, including both cratering and bench geometries, are discussed which illustrate the use of this model to predict rubble motion. This engineering representation appears to provide a practical model for use in predicting rubble motion and a tool for design evaluation of blasting in confined geometries. 15 figures, 1 table.

Schamaun, J.T.

1983-01-01T23:59:59.000Z

482

Predicted vs. Actual Energy Savings of Retrofitted House  

E-Print Network (OSTI)

This paper reports the results of actual energy savings and the predicted energy savings of retrofitted one-story house located in Dhahran, Saudi Arabia. The process started with modeling the house prior to retrofitting and after retrofitting. The monthly metered energy consumption is acquired from the electric company archives for seven years prior to retrofitting and recording the actual monthly energy consumption of the post retrofitting. The house model is established on DOE 2.1. Actual monthly energy consumption is used to calibrate and fine-tuning the model until the gap between actual and predicted consumption was narrowed. Then the Energy Conservation Measures (ECMs) are entered into the modeled house according to the changes in thermo-physical properties of the envelope and the changes in schedules and number of users. In order to account for those differences, electrical consumption attributed to A/C in summer was isolated and compared. The study followed the International Performance Measurement & Verification Protocol (IPMVP) in assessing the impact of energy conservation measures on actual, metered, building energy consumption. The study aimed to show the predicted savings by the simulated building model and the actual utility bills' analysis in air conditioning consumption and peak at monthly load due to building envelope.

Al-Mofeez, I.

2010-01-01T23:59:59.000Z

483

Maneuvering impact boring head  

DOE Patents (OSTI)

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.

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

1998-01-01T23:59:59.000Z

484

Maneuvering impact boring head  

DOE Patents (OSTI)

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.

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

1998-08-18T23:59:59.000Z

485

Decadal Climate Prediction: An Update from the Trenches  

Science Conference Proceedings (OSTI)

Capsule: The rapidly evolving field of decadal climate prediction, using initialized climate models to produce time-evolving predictions of regional climate, is producing new results for predictions, predictability, and prediction skill for the next few ...

Gerald A. Meehl; Lisa Goddard; George Boer; Robert Burgman; Grant Branstator; Christophe Cassou; Susanna Corti; Gokhan Danabasoglu; Francisco Doblas-Reyes; Ed Hawkins; Alicia Karspeck; Masahide Kimoto; Arun Kumar; Daniela Matei; Juliette Mignot; Rym Msadek; Holger Pohlmann; Michele Rienecker; Tony Rosati; Edwin Schneider; Doug Smith; Rowan Sutton; Haiyan Teng; Geert Jan van Oldenborgh; Gabriel Vecchi; Stephen Yeager

486

Geothermal power production: impact assessments and environmental monitoring  

DOE Green Energy (OSTI)

The role that baseline and postoperational environmental monitoring plays in assessing impacts of geothermal power production is emphasized. Based on experience in the Imperial Valley, where substantial geothermal resources exist, the important characteristics of monitoring programs involving subsidence, seismicity, and air and water quality are examined. The importance of environmental monitoring for situations where predictive models either do not exist (e.g., seismicity), or are still being developed (e.g., land subsidence) are discussed. In these cases the need for acquiring and analyzing data that can provide timely information on changes caused by geothermal operations are emphasized. Monitoring is also useful in verifying predictions of air quality changes - in particular, violations of ambient standards after control technologies are implemented. Water quality can be monitored with existing sampling programs where the potential for geothermal impacts is thought to be rather small. The significant issues in these environmental areas, the status of baseline data and predictive capability that currently exists, and the need for future monitoring and modeling programs to assess the impacts of geothermal development are summarized.

Layton, D.W.; Pimentel, K.D.

1980-01-01T23:59:59.000Z

487

Prediction of Gas Leak Tightness of Superplastically Formed Products  

Science Conference Proceedings (OSTI)

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).

Snippe, Corijn H. C. [National Institute for Subatomic Physics (Nikhef) PO Box 41882, 1009 DB Amsterdam (Netherlands); Meinders, T. [University of Twente, Faculty of Engineering Technology PO Box 217, 7500 AE Enschede (Netherlands)

2010-06-15T23:59:59.000Z

488

On the Prediction of the Occurence of dates of GLEs  

E-Print Network (OSTI)

Ground level enhancements (GLEs) are relativistic sol particles measured at ground level by a worldwide network of cosmic ray detectors. These sporadic events are associated with solar flares and are assumed to be of a quasi-random nature. Their study gives us information about their source and propagation processes, about the maximum capacity of the sun as a particle accelerator engine, about the magnetic structure of the medium traversed, etc. Space vehicles may be damaged by this kind of radiation, as well as electric transformers and gas pipes at high latitudes. As a result, their prediction has turned out to be very important, but because of their random occurrence, up to now few efforts to this end have been made. The results of these efforts have been limited to possible warnings in real time, just before GLE occurrence, but no specific dates have been predicted well enough in advance to prevent possible hazards. In this study we show that, in spite of the quasi-stochastic nature of GLEs, it is possibl...

Pérez-Peraza, Jorge; Zapotitla-Román, Julián; Alvarez-Madrigal, Manuel

2013-01-01T23:59:59.000Z

489

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

Science Conference Proceedings (OSTI)

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.

Abraham, J.; /Buenos Aires, CONICET; Abreu, P.; /Lisbon, IST; Aglietta, M.; /Turin U. /INFN, Turin; Ahn, E.J.; /Fermilab; Allard, D.; /APC, Paris; Allekotte, I.; /Centro Atomico Bariloche /Buenos Aires, CONICET; Allen, J.; /New York U.; Alvarez-Muniz, J.; /Santiago de Compostela U.; Ambrosio, M.; /Naples U.; Anchordoqui, L.; /Wisconsin U., Milwaukee; Andringa, S.; /Lisbon, IST /Boskovic Inst., Zagreb

2010-02-01T23:59:59.000Z

490

A. SCOPE METHOD OF TEST FOR DETERMINING THEORETICAL MAXIMUM SPECIFIC GRAVITY AND DENSITY OF HOT MIX ASPHALT  

E-Print Network (OSTI)

This test method provides procedures for determining the theoretical maximum specific gravity (also known as Rice specific gravity) and density of uncompacted hot mix asphalt (HMA) at 77?F using the weighing in air method. A supplemental dry back procedure is provided for reclaimed asphalt pavement (RAP) and for HMA where combined virgin aggregate water absorption is 2.0 % or more determined by California Test 206 and California Test 207. The theoretical maximum specific gravities and densities of HMA are intrinsic properties whose values are influenced by the composition of the mixtures in terms of types and amounts of aggregates and asphalt binder materials. They are: 1. Used to calculate values for percent air voids in compacted HMA. 2. Used to establish target values for the compaction of HMA. 3. Essential when calculating the amount of binder absorbed by the internal porosity of the individual aggregate particles in HMA. B. REFERENCES

C. Apparatus

2010-01-01T23:59:59.000Z

491

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

DOE Green Energy (OSTI)

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.

Bonn, R.; Ginn, J.; Zirzow, J. [and others

1995-06-01T23:59:59.000Z

492

Experimental optimal maximum-confidence discrimination and optimal unambiguous discrimination of two mixed single-photon states  

SciTech Connect

We present an experimental implementation of optimum measurements for quantum state discrimination. Optimum maximum-confidence discrimination and optimum unambiguous discrimination of two mixed single-photon polarization states were performed. For the latter the states of rank 2 in a four-dimensional Hilbert space are prepared using both path and polarization encoding. Linear optics and single photons from a true single-photon source based on a semiconductor quantum dot are utilized.

Steudle, Gesine A.; Knauer, Sebastian; Herzog, Ulrike; Benson, Oliver [Humboldt-Universitaet zu Berlin, AG Nanooptik, Newtonstrasse 15, D-12489 Berlin (Germany); Stock, Erik; Bimberg, Dieter [Technische Universitaet Berlin, Institut fuer Festkoerperphysik, Hardenbergstrasse 36, D-10623 Berlin (Germany); Haisler, Vladimir A. [Institute of Semiconductor Physics, Lavrenteva Avenue 13, Novosibirsk RU-630090 (Russian Federation)

2011-05-15T23:59:59.000Z

493

Separation of Stochastic and Deterministic Information from Seismological Time Series with Nonlinear Dynamics and Maximum Entropy Methods  

SciTech Connect

We present a procedure developed to detect stochastic and deterministic information contained in empirical time series, useful to characterize and make models of different aspects of complex phenomena represented by such data. This procedure is applied to a seismological time series to obtain new information to study and understand geological phenomena. We use concepts and methods from nonlinear dynamics and maximum entropy. The mentioned method allows an optimal analysis of the available information.

Gutierrez, Rafael M.; Useche, Gina M.; Buitrago, Elias [Centro de Investigaciones, Universidad Antonio Narino, Carrera 3 Este No. 47A--15 Bogota (Colombia)

2007-11-13T23:59:59.000Z

494

The Digital discrimination of neutron and ? ray using organic scintillation detector based on wavelet transform modulus maximum  

E-Print Network (OSTI)

A novel algorithm for the discrimination of neutron and {\\gamma}-ray with wavelet transform modulus maximum (WTMM) in an organic scintillation has been investigated. Voltage pulses arising from a BC501A organic liquid scintillation detector in a mixed radiation field have been recorded with a fast digital sampling oscilloscope. The performances of most pulse shape discrimination methods in scintillation detection systems using time-domain features of the pulses are affected intensively by noise. However, the WTMM method using frequency-domain features exhibits a strong insensitivity to noise and can be used to discriminate neutron and {\\gamma}-ray events based on their different asymptotic decay trend between the positive modulus maximum curve and the negative modulus maximum curve in the scale-space plane. This technique has been verified by the corresponding mixed-field data assessed by the time-of-flight (TOF) method and the frequency gradient analysis (FGA) method. It is shown that the characterization of neutron and gamma achieved by the discrimination method based on WTMM is consistent with that afforded by TOF and better than FGA. Moreover, because the WTMM method is it self presented to eliminate the noise, there is no need to make any pretreatment for the pulses.

Yang yun; Liu guofu; Yang jun; Luo xiaoliang

2013-04-17T23:59:59.000Z

495

Cumulative Impacts | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Cumulative Impacts Cumulative Impacts Cumulative Impacts Selected documents on the topic of Cumulative Impacts and NEPA. June 24, 2005 Guidance on the Consideration of Past Actions in Cumulative Effects Analysis In this Memorandum, the Council on Environmental Quality provides guidance on the extent to which agencies of the Federal government are required to analyze the environmental effects of past actions when they describe the cumulative environmental effect of a proposed action. May 1, 1999 Consideration Of Cumulative Impacts In EPA Review of NEPA Documents The purpose of this guidance is to assist EPA reviewers of NEPA documents in providing accurate, realistic, and consistent comments on the assessment of cumulative impacts. The guidance focuses on specific issues that are

496

Potential Electricity Impacts of a 1978 California Drought  

E-Print Network (OSTI)

Demand charge (per kW of maximum demand) On peak: - Partialis that it encourages maximum demand. load shifting byfirst, the customer's maximum demand may not be coincident

Sathaye, J.

2011-01-01T23:59:59.000Z

497

Simulations Predict Savings From More Airtight Buildings  

Science Conference Proceedings (OSTI)

... Investigation of the Impact of Commercial Building Envelope Airtightness on HVAC Energy Use (NISTIR 7238) is available at http://fire.nist.gov ...

2012-12-13T23:59:59.000Z

498

Tube skin temperature prediction of catalytic reforming unit (CRU) heaters  

Science Conference Proceedings (OSTI)

The maximum duty of reformer heaters is governed by the occurance of maximum tube skin temperature of the heaters. The value of maximum tube skin temperatures of the heaters must not exceed theirs' maximum allowable design temperature. The paper highlights ... Keywords: coke formation, finite element, simulations, tube furnance

Suzana Yusup; Nguyen Duy Vinh; Nurhayati Mellon; Abdullah Hassan

2006-10-01T23:59:59.000Z

499

Neural networks as tools for predicting materials properties  

Science Conference Proceedings (OSTI)

Materials science is of fundamental significance to science and technology because our industrial base and society depend upon our ability to develop advanced materials. Materials and materials processi