Sample records for weekly estimates developed

  1. Last week: developments WH120uu 10^34 digitization on the grid

    E-Print Network [OSTI]

    Last week: developments WH120uu 10^34 digitization on the grid ­ Only 4 jobs finished (10 days ago (mostly sim+digi) ­ ~5 weeks on tier3 to make 300M ­ Looking at psequencer to run on the grid #12;Multiple

  2. .NET DEVELOPER PROGRAM A ten-week comprehensive program covering Microsoft .NET technologies

    E-Print Network [OSTI]

    Schaefer, Marcus

    .NET DEVELOPER PROGRAM A ten-week comprehensive program covering Microsoft® .NET technologies DePaul University's .NET Developer Program is designed to provide programmers with an intensive and comprehensive introduction to all essential aspects of the technologies, techniques and principles of Microsoft .NET

  3. .NET WEB DEVELOPER PROGRAM A ten-week comprehensive program covering web development using Microsoft .NET technologies

    E-Print Network [OSTI]

    Schaefer, Marcus

    .NET WEB DEVELOPER PROGRAM A ten-week comprehensive program covering web development using Microsoft® .NET technologies DePaul University's .NET Web Developer Program is designed to provide, techniques and principles of Microsoft .NET. The program stresses an understanding of the relevant

  4. Schedule Estimation for Web Application Development

    E-Print Network [OSTI]

    Fernando, Lake

    2008-05-16T23:59:59.000Z

    The purpose of the project is to come up with a robust methodology for estimating hours for web application systems development. For the scope of the project, a web application system is an application which is accessed via a web browser...

  5. Prediction-based estimating functions: review and new developments

    E-Print Network [OSTI]

    Sørensen, Michael

    Prediction-based estimating functions: review and new developments Michael Sørensen University@math.ku.dk March 9, 2011 Abstract The general theory of prediction-based estimating functions for stochastic differential equations. The Pearson diffusions, for which explicit optimal prediction-based estimating func

  6. Development of an integrated system for estimating human error probabilities

    SciTech Connect (OSTI)

    Auflick, J.L.; Hahn, H.A.; Morzinski, J.A.

    1998-12-01T23:59:59.000Z

    This is the final report of a three-year, Laboratory Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). This project had as its main objective the development of a Human Reliability Analysis (HRA), knowledge-based expert system that would provide probabilistic estimates for potential human errors within various risk assessments, safety analysis reports, and hazard assessments. HRA identifies where human errors are most likely, estimates the error rate for individual tasks, and highlights the most beneficial areas for system improvements. This project accomplished three major tasks. First, several prominent HRA techniques and associated databases were collected and translated into an electronic format. Next, the project started a knowledge engineering phase where the expertise, i.e., the procedural rules and data, were extracted from those techniques and compiled into various modules. Finally, these modules, rules, and data were combined into a nearly complete HRA expert system.

  7. Weekly Coal Production Estimation Methodology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOE Reserve Class0,

  8. WILDFIRE IGNITION RESISTANCE ESTIMATOR WIZARD SOFTWARE DEVELOPMENT REPORT

    SciTech Connect (OSTI)

    Phillips, M.; Robinson, C.; Gupta, N.; Werth, D.

    2012-10-10T23:59:59.000Z

    This report describes the development of a software tool, entitled “WildFire Ignition Resistance Estimator Wizard” (WildFIRE Wizard, Version 2.10). This software was developed within the Wildfire Ignition Resistant Home Design (WIRHD) program, sponsored by the U. S. Department of Homeland Security, Science and Technology Directorate, Infrastructure Protection & Disaster Management Division. WildFIRE Wizard is a tool that enables homeowners to take preventive actions that will reduce their home’s vulnerability to wildfire ignition sources (i.e., embers, radiant heat, and direct flame impingement) well in advance of a wildfire event. This report describes the development of the software, its operation, its technical basis and calculations, and steps taken to verify its performance.

  9. JAVA WEB DEVELOPMENT PROGRAM An eight-week comprehensive program covering open-source, lightweight JavaTM enterprise Web

    E-Print Network [OSTI]

    Schaefer, Marcus

    JavaTM enterprise Web development using POJOs (Plain Old Java Objects) DePaul University's Java Web, IL 60604-2300 (312)362-6282 ipd.cdm.depaul.edu #12;JAVA WEB DEVELOPMENT PROGRAM Development impact on the coding of business logic. Spring and Hibernate both allow the programmer to use Plain Old

  10. Development of Property-Transfer Models for Estimating the Hydraulic Properties of Deep

    E-Print Network [OSTI]

    Development of Property-Transfer Models for Estimating the Hydraulic Properties of Deep Sediments. #12;Development of Property-Transfer Models for Estimating the Hydraulic Properties of Deep Sediments-USGS World Wide Web: http://www.usgs.gov/ Any use of trade, product, or firm names in this publication

  11. Machine Learning Approaches to Estimating Software Development Effort

    E-Print Network [OSTI]

    Fisher, Douglas H.

    of software development effort is critical in software engineering. Underestimates lead to time pressures development effort from historical data. Our experiments indicate that these techniques are competitive on which they are trained. This cautionary note applies to any model­ construction strategy that relies

  12. LIGHTWEIGHT JAVA WEB DEVELOPMENT An eight-week comprehensive program covering open-source, lightweight, Java enterprise Web

    E-Print Network [OSTI]

    Schaefer, Marcus

    -source, lightweight, Java enterprise Web development using POJOs (Plain Old Java Objects) DePaul University. Wabash Avenue, Room 301 Chicago, IL 60604-2300 (312)362-6282 ipd.cdm.depaul.edu #12;LIGHTWEIGHT JAVA WEB and Hibernate both allow the programmer to use Plain Old Java Objects (POJOs) to encode data and business logic

  13. DEVELOPMENT OF A MYOELECTRIC CONTROLLER BASED ON KNEE ANGLE ESTIMATION

    E-Print Network [OSTI]

    Carvalho, Joăo Luiz

    , Prosthesis control, Microcontrolled bioinstrumentation, Feature extraction, Dimensionality reduction, Neural the development of an active leg prosthesis prototype (Figure 1). The prosthesis has three degrees of freedom: one. The prosthesis will receive control commands through digital signal processing, feature extraction, and pattern

  14. Design and Development of an Artificial Neural Network for Estimation of Formation Permeability

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    SPE 28237 Design and Development of an Artificial Neural Network for Estimation of Formation and measuring their oldest practices for estimating the formation permeability. Coring every well in a large, especially in fields with hundreds of wells, requires a large amount of capital. In a heterogeneous field

  15. Development of Algorithms to Estimate Post-Disaster Population Dislocation--A Research-Based Approach 

    E-Print Network [OSTI]

    Lin, Yi-Sz

    2010-10-12T23:59:59.000Z

    This study uses an empirical approach to develop algorithms to estimate population dislocation following a natural disaster. It starts with an empirical reexamination of the South Dade Population Impact Survey data, ...

  16. Handbook for cost estimating. A method for developing estimates of costs for generic actions for nuclear power plants

    SciTech Connect (OSTI)

    Ball, J.R.; Cohen, S.; Ziegler, E.Z.

    1984-10-01T23:59:59.000Z

    This document provides overall guidance to assist the NRC in preparing the types of cost estimates required by the Regulatory Analysis Guidelines and to assist in the assignment of priorities in resolving generic safety issues. The Handbook presents an overall cost model that allows the cost analyst to develop a chronological series of activities needed to implement a specific regulatory requirement throughout all applicable commercial LWR power plants and to identify the significant cost elements for each activity. References to available cost data are provided along with rules of thumb and cost factors to assist in evaluating each cost element. A suitable code-of-accounts data base is presented to assist in organizing and aggregating costs. Rudimentary cost analysis methods are described to allow the analyst to produce a constant-dollar, lifetime cost for the requirement. A step-by-step example cost estimate is included to demonstrate the overall use of the Handbook.

  17. Development of a right-of-way cost estimation and cost estimate management process framework for highway projects

    E-Print Network [OSTI]

    Lucas, Matthew Allen

    2009-05-15T23:59:59.000Z

    .............................................................. 31 Results: ROW Estimation State of Practice ................................... 31 Critical Issues ....................................................................... 32 Overview of Current Practice... ............................................... 35 Analysis: Critical Review of Practices ........................................... 41 General ROW Cost Estimation Procedure ........................... 42 ROW Cost Estimation...

  18. U.S. Weekly Supply Estimates

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heatingintensity

  19. Development of an actuated traffic control process utilizing real-time estimated volume feedbback

    E-Print Network [OSTI]

    Pacelli, Michael Joseph

    1999-01-01T23:59:59.000Z

    state of the system in the same units. The goal of this research was to develop an actuated traffic control process that could use estimated volumes in order to optimally operate the traffic signal in real- time in response to actual traffic demands...

  20. Development and implementation of an enhanced procedure for estimating pavement rehabilitation and maintenance expenditures

    E-Print Network [OSTI]

    Garcia-Diaz, Juan Carlos

    1987-01-01T23:59:59.000Z

    DEVELOPMENT AND IMPLEMENTATION OF AN ENHANCED PROCEDURE FOR ESTIMATING PAVEMENT REHABILITATION AND MAINTENANCE EXPENDITURES A Thesis by JUAN CARLOS GARCIA-DIAZ Submitted to the Graduate College of Texas ARM University in partial fulfillment... GARCIA-DIAZ Approved ss to style and content by: Boma T. Afiesimama (Chairman of Committee) Robert P. Besls (Member) Daniel Colunga (Member) G. ble Bennett ad of Department) August 1987 ABSTRACT Development and Implementation of an Enhanced...

  1. Weekly Digest Guide The Weekly Digest is YSM's weekly events newsletter, distributed early

    E-Print Network [OSTI]

    Lee, Daeyeol

    Weekly Digest Guide The Weekly Digest is YSM's weekly events newsletter, distributed early each Friday morning to 9,000+ email recipients on the Yale campus. The Weekly Digest includes approximately. Timeline The Weekly Digest is published on Fridays for events taking place the following week. Lead time

  2. MotorWeek

    ScienceCinema (OSTI)

    None

    2013-04-19T23:59:59.000Z

    In 2008, PBS's MotorWeek, television's original automotive magazine, visited Argonne's Transportation Technology R&D Center "to learn what it really takes to make clean power sources a viable reality."

  3. Algebra 557: Week 1

    E-Print Network [OSTI]

    2008-09-07T23:59:59.000Z

    Algebra 557: Week 1. Throughout this course by a ring A we will understand a commutative ring with 1. 1 Rings and Modules. 1.1 Maximal and Prime Ideals, ...

  4. Algebra 557: Week 2

    E-Print Network [OSTI]

    2008-09-07T23:59:59.000Z

    Algebra 557: Week 2. 1 Lengths, minimal and maximal conditions. Definition 1. A module M is simple if it has no proper sub-modules. Remark 2. If M is a simple ...

  5. Development of an energy-use estimation methodology for the revised Navy Manual MO-303

    SciTech Connect (OSTI)

    Richman, E.E.; Keller, J.M.; Wood, A.G.; Dittmer, A.L.

    1995-01-01T23:59:59.000Z

    The U.S. Navy commissioned Pacific Northwest Laboratory (PNL) to revise and/or update the Navy Utilities Targets Manual, NAVFAC MO-303 (U.S. Navy 1972b). The purpose of the project was to produce a current, applicable, and easy-to-use version of the manual for use by energy and facility engineers and staff at all Navy Public Works Centers (PWCs), Public Works Departments (PWDs), Engineering Field Divisions (EFDs), and other related organizations. The revision of the MO-303 manual involved developing a methodology for estimating energy consumption in buildings and ships. This methodology can account for, and equitably allocate, energy consumption within Navy installations. The analyses used to develop this methodology included developing end-use intensities (EUIs) from a vast collection of Navy base metering and billing data. A statistical analysis of the metering data, weather data, and building energy-use characteristics was used to develop appropriate EUI values for use at all Navy bases. A complete Navy base energy reconciliation process was also created for use in allocating all known energy consumption. Initial attempts to use total Navy base consumption values did not produce usable results. A parallel effort using individual building consumption data provided an estimating method that incorporated weather effects. This method produced a set of building EUI values and weather adjustments for use in estimating building energy use. A method of reconciling total site energy consumption was developed based on a {open_quotes}zero-sum{close_quotes} principle. This method provides a way to account for all energy use and apportion part or all of it to buildings and other energy uses when actual consumption is not known. The entire text of the manual was also revised to present a more easily read understood and usable document.

  6. Weekly User Schedule

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening aTurbulenceUtilizeRuralthe emergency response2NetWeekly UserWeekly

  7. Development of a J-estimation scheme for internal circumferential and axial surface cracks in elbows

    SciTech Connect (OSTI)

    Mohan, R.; Brust, F.W.; Ghadiali, N.; Wilkowski, G.

    1996-06-01T23:59:59.000Z

    This report summarizes efforts to develop elastic and elastic-plastic fracture mechanics analyses for internal surface cracks in elbows. The analyses involved development of a GE/EPRI type J-estimation scheme which requires an elastic and fully plastic contribution to crack-driving force in terms of the J-integral parameter. The elastic analyses require the development of F-function values to relate the J{sub e} term to applied loads. Similarly, the fully plastic analyses require the development of h-functions to relate the J{sub p} term to the applied loads. The F- and h-functions were determined from a matrix of finite element analyses. To minimize the cost of the analyses, three-dimensional ABAQUS finite element analyses were compared to a simpler finite element technique called the line-spring method. The line-spring method provides a significant computational savings over the full three-dimensional analysis. The comparison showed excellent agreement between the line-spring and three-dimensional analysis. This experience was consistent with comparisons with circumferential surface-crack analyses in straight pipes during the NRC`s Short Cracks in Piping and Piping Welds program.

  8. Dynamic Resource Provisioning Condor Week 2012

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    to the Grid ­ Highly available facility ­ Testbed for network and storage fabrics · Condor is important part (JDEM analysis development, Grid Developers and Integration test stands, Storage/dCache Developers, LQCDFermiCloud Dynamic Resource Provisioning Condor Week 2012 Steven Timm timm@fnal.gov Fermilab Grid

  9. Developing a tool to estimate water withdrawal and consumption in electricity generation in the United States.

    SciTech Connect (OSTI)

    Wu, M.; Peng, J. (Energy Systems); ( NE)

    2011-02-24T23:59:59.000Z

    Freshwater consumption for electricity generation is projected to increase dramatically in the next couple of decades in the United States. The increased demand is likely to further strain freshwater resources in regions where water has already become scarce. Meanwhile, the automotive industry has stepped up its research, development, and deployment efforts on electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs). Large-scale, escalated production of EVs and PHEVs nationwide would require increased electricity production, and so meeting the water demand becomes an even greater challenge. The goal of this study is to provide a baseline assessment of freshwater use in electricity generation in the United States and at the state level. Freshwater withdrawal and consumption requirements for power generated from fossil, nonfossil, and renewable sources via various technologies and by use of different cooling systems are examined. A data inventory has been developed that compiles data from government statistics, reports, and literature issued by major research institutes. A spreadsheet-based model has been developed to conduct the estimates by means of a transparent and interactive process. The model further allows us to project future water withdrawal and consumption in electricity production under the forecasted increases in demand. This tool is intended to provide decision makers with the means to make a quick comparison among various fuel, technology, and cooling system options. The model output can be used to address water resource sustainability when considering new projects or expansion of existing plants.

  10. Handbook for quick cost estimates. A method for developing quick approximate estimates of costs for generic actions for nuclear power plants

    SciTech Connect (OSTI)

    Ball, J.R.

    1986-04-01T23:59:59.000Z

    This document is a supplement to a ''Handbook for Cost Estimating'' (NUREG/CR-3971) and provides specific guidance for developing ''quick'' approximate estimates of the cost of implementing generic regulatory requirements for nuclear power plants. A method is presented for relating the known construction costs for new nuclear power plants (as contained in the Energy Economic Data Base) to the cost of performing similar work, on a back-fit basis, at existing plants. Cost factors are presented to account for variations in such important cost areas as construction labor productivity, engineering and quality assurance, replacement energy, reworking of existing features, and regional variations in the cost of materials and labor. Other cost categories addressed in this handbook include those for changes in plant operating personnel and plant documents, licensee costs, NRC costs, and costs for other government agencies. Data sheets, worksheets, and appropriate cost algorithms are included to guide the user through preparation of rough estimates. A sample estimate is prepared using the method and the estimating tools provided.

  11. Development of a weighted-average estimator from a maximum-likelihood estimator and an instrumental-variable estimator in a structural model

    E-Print Network [OSTI]

    Gruben, David Christopher

    1987-01-01T23:59:59.000Z

    , is written as mx y Ab Sou 1hl zz mx x ? Ab?' S?? (3. 2) and we will now spend some time explaining its form. Write a = (1, ? P&) and assume an independent estimator of Z, S?, is avail- able. Fuller (1981) shows that maximizing the likelihood equations... ? z, + u? t = 1, 2, . . . , a?s' = 1, 2, 3, . . . , b? (2. 1c) The total number of observations, n, is equal to a?b?. The experimenter has available an instrumental variable for the unobservable ze =&a+sr&W, +re, t=1, 2, . . . , a?. (2. 1d...

  12. Los Alamos Waste Management Cost Estimation Model; Final report: Documentation of waste management process, development of Cost Estimation Model, and model reference manual

    SciTech Connect (OSTI)

    Matysiak, L.M.; Burns, M.L.

    1994-03-01T23:59:59.000Z

    This final report completes the Los Alamos Waste Management Cost Estimation Project, and includes the documentation of the waste management processes at Los Alamos National Laboratory (LANL) for hazardous, mixed, low-level radioactive solid and transuranic waste, development of the cost estimation model and a user reference manual. The ultimate goal of this effort was to develop an estimate of the life cycle costs for the aforementioned waste types. The Cost Estimation Model is a tool that can be used to calculate the costs of waste management at LANL for the aforementioned waste types, under several different scenarios. Each waste category at LANL is managed in a separate fashion, according to Department of Energy requirements and state and federal regulations. The cost of the waste management process for each waste category has not previously been well documented. In particular, the costs associated with the handling, treatment and storage of the waste have not been well understood. It is anticipated that greater knowledge of these costs will encourage waste generators at the Laboratory to apply waste minimization techniques to current operations. Expected benefits of waste minimization are a reduction in waste volume, decrease in liability and lower waste management costs.

  13. Weekly User Schedule

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening aTurbulenceUtilizeRuralthe emergency response2NetWeekly User

  14. This Week in Petroleum

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80This Week in Petroleum Release

  15. Weekly Petroleum Status Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80This WeekEnergy InformationAll

  16. Busy Week | Jefferson Lab

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy,EnvelopeJeffersonBusinessPractices SignBusy Week

  17. Weekly User Schedule

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEurekaWeekly User Schedule Print Requests for

  18. Weekly Reports 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps1DOETHEWeekly Reports 2014 Weekly Report as

  19. POPULATION ESTIMATION PROCEDURES FOR ELK AND DEER IN THE BLACK HILLS, SOUTH DAKOTA: DEVELOPMENT OF A SIGHTABILITY

    E-Print Network [OSTI]

    POPULATION ESTIMATION PROCEDURES FOR ELK AND DEER IN THE BLACK HILLS, SOUTH DAKOTA: DEVELOPMENT PROCEDURES FOR ELK AND DEER IN THE BLACK HILLS, SOUTH DAKOTA: DEVELOPMENT OF A SIGHTABILITY MODEL my masters in elk research. It has been a wonderful learning and growing experience for which I am

  20. LEADERSHIP WEEK APRIL 1119, 2012

    E-Print Network [OSTI]

    Thomas, Andrew

    a LEADERSHIP WEEK APRIL 11­19, 2012 COMMEMORATING THE INAUGURATION OF PAUL W. FERGUSON #12;1 LEADERSHIP WEEK APRIL 11­19, 2012 President Paul W. Ferguson #12;3 A series of leadership events, academic of University of Maine President Paul W. Ferguson on April 19. Leadership Week, April 11­19, took its theme from

  1. Data Collection and Normalization for the Development of Cost Estimating Relationships

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

    1997-03-28T23:59:59.000Z

    Cost estimating relationships or parametric equations are mathematical statements that indicate that the cost is proportional to a physical commodity. Parametric estimating requires that the statistical analysis be performed on data points to correlate the cost drivers and other system parameters. This chapter discusses considerations for data collection and normalization.

  2. Emission Estimation of Heavy Duty Diesel Vehicles by Developing Texas Specific Drive Cycles with Moves

    E-Print Network [OSTI]

    Gu, Chaoyi

    2013-07-31T23:59:59.000Z

    Driving cycles are acting as the basis of the evaluation of the vehicle performance from air quality point of view, such as fuel consumption or pollutant emission, especially in emission modeling and emission estimation. The original definition...

  3. Energy and Society Week 4 Section Solution

    E-Print Network [OSTI]

    Kammen, Daniel M.

    was the largest source of primary energy consumption for the world in 2013: A. Coal B. Natural gas C. Nuclear D of world energy. Oil, coal, natural gas, nuclear, hydro, and renewable contributed to the world's 20131 9/17/2014 Energy and Society Week 4 Section Solution TOPIC 1: Energy & Development: [iClicker]-1

  4. Presidential Proclamation -- Minority Enterprise Development Week, 2013 |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHA AdministrativeofDepartmentEnergy THEonReaffirms theDepartment

  5. Presidential Proclamation -- Minority Enterprise Development Week, 2013 |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 < prev next > Sun Mon2015Department ofDepartment of Energy

  6. Energy Week presentations

    SciTech Connect (OSTI)

    NONE

    2006-07-01T23:59:59.000Z

    Topics covered include: energy security; clean energy and low carbon; energy for growth and poverty reduction in Africa; financing of energy efficiency; SMEs for decentralised energy service provision; potential for biofuels in developing countries; clean energy and sustainable development; clean energy finance and private equity funds; power generation and low carbon technologies; beyond traditional finance; rehabilitation and emission control in thermal power plants; and carbon finance. The presentations are mainly in ppt (Power Point) or pdf (Acrobat) format. Some videos of the conference are also available on the website.

  7. Developing a Cost Model and Methodology to Estimate Capital Costs for Thermal Energy Storage

    SciTech Connect (OSTI)

    Glatzmaier, G.

    2011-12-01T23:59:59.000Z

    This report provides an update on the previous cost model for thermal energy storage (TES) systems. The update allows NREL to estimate the costs of such systems that are compatible with the higher operating temperatures associated with advanced power cycles. The goal of the Department of Energy (DOE) Solar Energy Technology Program is to develop solar technologies that can make a significant contribution to the United States domestic energy supply. The recent DOE SunShot Initiative sets a very aggressive cost goal to reach a Levelized Cost of Energy (LCOE) of 6 cents/kWh by 2020 with no incentives or credits for all solar-to-electricity technologies.1 As this goal is reached, the share of utility power generation that is provided by renewable energy sources is expected to increase dramatically. Because Concentrating Solar Power (CSP) is currently the only renewable technology that is capable of integrating cost-effective energy storage, it is positioned to play a key role in providing renewable, dispatchable power to utilities as the share of power generation from renewable sources increases. Because of this role, future CSP plants will likely have as much as 15 hours of Thermal Energy Storage (TES) included in their design and operation. As such, the cost and performance of the TES system is critical to meeting the SunShot goal for solar technologies. The cost of electricity from a CSP plant depends strongly on its overall efficiency, which is a product of two components - the collection and conversion efficiencies. The collection efficiency determines the portion of incident solar energy that is captured as high-temperature thermal energy. The conversion efficiency determines the portion of thermal energy that is converted to electricity. The operating temperature at which the overall efficiency reaches its maximum depends on many factors, including material properties of the CSP plant components. Increasing the operating temperature of the power generation system leads to higher thermal-to-electric conversion efficiency. However, in a CSP system, higher operating temperature also leads to greater thermal losses. These two effects combine to give an optimal system-level operating temperature that may be less than the upper operating temperature limit of system components. The overall efficiency may be improved by developing materials, power cycles, and system-integration strategies that enable operation at elevated temperature while limiting thermal losses. This is particularly true for the TES system and its components. Meeting the SunShot cost target will require cost and performance improvements in all systems and components within a CSP plant. Solar collector field hardware will need to decrease significantly in cost with no loss in performance and possibly with performance improvements. As higher temperatures are considered for the power block, new working fluids, heat-transfer fluids (HTFs), and storage fluids will all need to be identified to meet these new operating conditions. Figure 1 shows thermodynamic conversion efficiency as a function of temperature for the ideal Carnot cycle and 75% Carnot, which is considered to be the practical efficiency attainable by current power cycles. Current conversion efficiencies for the parabolic trough steam cycle, power tower steam cycle, parabolic dish/Stirling, Ericsson, and air-Brayton/steam Rankine combined cycles are shown at their corresponding operating temperatures. Efficiencies for supercritical steam and carbon dioxide (CO{sub 2}) are also shown for their operating temperature ranges.

  8. SPAIN PROGRAM Madrid Four Week /

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SPAIN PROGRAM Madrid Four Week / Madrid and Málaga Six Week 2014 Summer Program APPLICATION FORM face to scapobia@binghamton.edu. It will be used to make a photo ID card for you to use in Spain. 7 and the full refund and cancellation policy on the Spain program website pages. 8. Submit all materials to the

  9. weekly

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

    futures contract as buyers gave some indication that they expect future supplies of natural gas to be more robust than at the present. After exceeding 1.90 per MMBtu on Monday,...

  10. weekly

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

    temperatures in most parts of the Midwest and the East continues to reduce demand for natural gas and is keeping both cash and futures prices at their lowest levels in over 3...

  11. weekly

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

    in specific markets showed a wide range of price changes. According to the BLS data, natural gas prices in February to residential consumers in Washington, DC declined 6.2...

  12. weekly

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

    Spot Prices: Moderating temperatures have removed much of the price pressure on natural gas at major market locations as posted prices were generally below 3.00 per MMBtu by the...

  13. weekly

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

    first period of low temperatures have impacted markets throughout the country as natural gas prices continue to be 1.00 to 3.00 higher at most major market centers. The...

  14. weekly

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    6, 1997 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7...

  15. weekly

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

    30,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7...

  16. weekly

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    7, 1997 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7...

  17. weekly

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

    6,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7...

  18. weekly

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

    3, 1997 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7...

  19. weekly

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

    1, 1997 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7...

  20. weekly

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

    8, 1997 http:www.eia.doe.gov N Y M E X F u t u r e P r i c e s v s H e n r y H u b S p o t P r i c e s 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 ....

  1. weekly

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

    0, 1997 http:www.eia.doe.gov N Y M E X F u t u r e P r i c e s v s H e n r y H u b S p o t P r i c e s 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 ....

  2. weekly

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

    4, 1997 http:www.eia.doe.gov N Y M E X F u t u r e P r i c e s v s H e n r y H u b S p o t P r i c e s 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 ....

  3. Weekly

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

    0, 1997 http:www.eia.doe.gov N Y M E X F u t u r e P r i c e s v s H e n r y H u b S p o t P r i c e s 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million...

  4. Weekly

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

    7, 1997 http:www.eia.doe.gov N Y M E X F u t u r e P r i c e s v s H e n r y H u b S p o t P r i c e s 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million...

  5. weekly

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

    1, 1997 http:www.eia.doe.gov N Y M E X F u t u r e P r i c e s v s H e n r y H u b S p o t P r i c e s 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 ....

  6. weekly

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

    7, 1997 http:www.eia.doe.gov N Y M E X F u t u r e P r i c e s v s H e n r y H u b S p o t P r i c e s 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 ....

  7. Weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOE Reserve Class0, 1997

  8. Weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOE Reserve Class0, 19977,

  9. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M E X

  10. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M E

  11. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M

  12. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M6,

  13. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y M6,3,

  14. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y

  15. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y7,

  16. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y7,3,

  17. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N Y7,3,0,

  18. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N

  19. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4, 1997

  20. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4, 1997,

  1. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4,

  2. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4,7,

  3. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4,7,4,

  4. weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996 http://www.eia.doe.gov N4,7,4,1,

  5. Check Estimates and Independent Costs

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

    1997-03-28T23:59:59.000Z

    Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

  6. National Nuclear Science Week 2012 - SRSCRO

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

    to Know Nuclear National Nuclear Science Week January 23 - 27, 2012 Fostering a deeper public understanding Logos for: National Nuclear Science Week, Nuclear Workforce Initiative,...

  7. AUGUST 15, 2012 This Week...

    E-Print Network [OSTI]

    Peak, Derek

    .5% in Alberta. The lower infla on rates this year are mainly because gasoline prices have stopped increasingAUGUST 15, 2012 This Week... Crime Rates Employment Food Prices Retail Sales Crime Rates By Doug Prices In the first half of 2012, the rate of infla on in the West has been lower than in 2011 and

  8. Start Date: Hours per Week

    E-Print Network [OSTI]

    Garfunkel, Eric

    Wednesday Thursday Friday Saturday Sunday Storming Robots Technology Learning Institution 3322 Rt. 22 West, Suite 402 Branchburg NJ 08876 Elizabeth Mabrey emabrey@stormingrobots.com 908-595-1010 Robotics Instructor / Assistant $15 to $30 Any Time from 2 to 12 hours per week one 1) Instructor/Assistant

  9. Methodology for EIA Weekly Underground Natural Gas Storage Estimates

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The EnergyCenterDioxide Capture in the Presence of Water |Methodology

  10. Revision Policy for EIA Weekly Underground Natural Gas Storage Estimates

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press ReleasesIn theTreatment in aRevision Policy for EIA

  11. ,"U.S. Weekly Supply Estimates"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9Petroleum ProductTotalSupply

  12. Development of a mass balance model for estimating PCB export from the lower Fox River to Green Bay

    SciTech Connect (OSTI)

    Velleux, M.; Endicott, D.

    1994-01-01T23:59:59.000Z

    A mass balance approach was used to model contaminant cycling in the lower Fox River from the DePere Dam to Green Bay. The objectives of this research were (1) to estimate present contaminant export from the Fox River to Green Bay, and (2) to quantify contaminant transport and fate pathways in the lower river for the study period. Specifically, a model describing the transport, fate, and export of chlorides, total suspended solids, total PCBs, and six PCB congeners for the lower Fox River was developed. Field data collected as part of the U.S. Environmental Protection Agency's Green Bay Mass Balance Study were used to calibrate the model. Model results suggest that the transport of inplace pollutants significantly contributed to the cumulative export of total PCBs over this period. Estimated total PCB transport in the Fox River during 1989 increased 60% between the dam and river mouth due to the resuspension of lower river sediments. Total suspended solids and PCB predictions are most sensitive to particle transport parameters, particularly the settling and resuspension velocities. The significant components of the total PCB mass balance are import (loading over the DePere Dam), settling, resuspension, and export to Green Bay. Volatilization, porewater transport, and point source input were not significant to the mass balance. Present point source discharges to the river are not significant total PCB sources, collectively contributing less than 6 kg of PCB to the river during the mass balance period.

  13. The South Wilmington Area remedial cost estimating methodology (RCEM) -- A planning tool and reality check for brownfield development

    SciTech Connect (OSTI)

    Yancheski, T.B. [Tetra Tech, Inc., Christiana, DE (United States); Swanson, J.E. [Tetra Tech, Inc., Fairfax, VA (United States)

    1996-12-31T23:59:59.000Z

    The South Wilmington Area (SWA), which is comprised of 200 acres of multi-use urban lowlands adjacent to the Christina River, is a brownfields area that has been targeted for redevelopment/restoration as part of a major waterfront revitalization project for the City of Wilmington, Delaware. The vision for this riverfront development, which is being promoted by a state-funded development corporation, includes plans for a new harbor, convention and entertainment facilities, upscale residences, an urban wildlife refuge, and the restoration of the Christina River. However, the environmental quality of the SWA has been seriously impacted by an assortment of historic and current heavy industrial land-uses since the late 1800`s, and extensive environmental cleanup of this area will be required as part of any redevelopment plan. Given that the environmental cleanup cost will be a major factor in determining the overall economic feasibility of brownfield development in the SWA, a reliable means of estimating potential preliminary remedial costs, without the expense of costly investigative and engineering studies, was needed to assist with this redevelopment initiative. The primary chemicals-of-concern (COCs) area-wide are lead and petroleum compounds, however, there are hot-spot occurrences of polynuclear aromatic hydrocarbons (PAHs), PCBs, and other heavy metals such as arsenic and mercury.

  14. Open Access Week Planning Materials

    E-Print Network [OSTI]

    /Project Coordinator update as programming is confirmed Landing page updated Web & Information Designer library.tamu.edu/oaweek, completed 7/31 Set up binder for OAW 2012 Project Coordinator 1" binder and sheet protectors E-mail Office Associate, Dean's Office... to request van for OA week Project Coordinator Confirmation e-mail received from Office Associate Dean's Office on 8/7/2012; pick up van Monday 10/22-return 10/25. Fill out "Usage Request" form for Agriculture & Life Science Complex Recommended...

  15. Weekly Petroleum Status Report Schedule

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand expected2 FigureWeekly

  16. Weekly Natural Gas Storage Report

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEureka AnalyticsLargeHome|WebsiteWeekly

  17. The potential of plug-in hybrid electric vehicles to reduce petroleum use issues involved in developing reliable estimates.

    SciTech Connect (OSTI)

    Vyas, A. D.; Santini, D. J.; Johnson, L. R.; Energy Systems

    2009-01-01T23:59:59.000Z

    This paper delineates the various issues involved in developing reliable estimates of the petroleum use reduction that would result from the wide-spread introduction of plug-in hybrid electric vehicles (PHEVs). Travel day data from the 2001 National Household Travel Survey (NHTS) were analyzed to identify the share of vehicle miles of travel (VMT) that could be transferred to grid electricity. Various PHEV charge-depleting (CD) ranges were evaluated, and 100% CD mode and potential blended modes were analyzed. The NHTS data were also examined to evaluate the potential for PHEV battery charging multiple times a day. Data from the 2005 American Housing Survey (AHS) were analyzed to evaluate the availability of garages and carports for at-home charging of the PHEV battery. The AHS data were also reviewed by census region and household location within or outside metropolitan statistical areas. To illustrate the lag times involved, the historical new vehicle market share increases for the diesel power train in France (a highly successful case) and the emerging hybrid electric vehicles in the United States were examined. A new vehicle technology substitution model is applied to illustrate a historically plausible successful new PHEV market share expansion. The trends in U.S. light-duty vehicle sales and light-duty vehicle stock were evaluated to estimate the time required for hypothetical successful new PHEVs to achieve the ultimately attainable share of the existing vehicle stock. Only when such steps have been accomplished will the full oil savings potential for the nation be achieved.

  18. Development and Clinical Evaluation of a Three-Dimensional Cone-Beam Computed Tomography Estimation Method Using a Deformation Field Map

    SciTech Connect (OSTI)

    Ren, Lei, E-mail: lren1@hfhs.org [Department of Radiation Oncology, Henry Ford Health System, Detroit, MI (United States); Chetty, Indrin J. [Department of Radiation Oncology, Henry Ford Health System, Detroit, MI (United States); Zhang Junan [Department of Radiation Oncology, Oregon Health and Science University, Portland, OR (United States); Jin Jianyue [Department of Radiation Oncology, Henry Ford Health System, Detroit, MI (United States); Wu, Q. Jackie; Yan Hui; Brizel, David M.; Lee, W. Robert [Department of Radiation Oncology, Duke University Medical Center, Durham, NC (United States); Movsas, Benjamin [Department of Radiation Oncology, Henry Ford Health System, Detroit, MI (United States); Yin Fangfang [Department of Radiation Oncology, Duke University Medical Center, Durham, NC (United States)

    2012-04-01T23:59:59.000Z

    Purpose: To develop a three-dimensional (3D) cone-beam computed tomography (CBCT) estimation method using a deformation field map, and to evaluate and optimize the efficiency and accuracy of the method for use in the clinical setting. Methods and Materials: We propose a method to estimate patient CBCT images using prior information and a deformation model. Patients' previous CBCT data are used as the prior information, and the new CBCT volume to be estimated is considered as a deformation of the prior image volume. The deformation field map is solved by minimizing deformation energy and maintaining new projection data fidelity using a nonlinear conjugate gradient method. This method was implemented in 3D form using hardware acceleration and multi-resolution scheme, and it was evaluated for different scan angles, projection numbers, and scan directions using liver, lung, and prostate cancer patient data. The accuracy of the estimation was evaluated by comparing the organ volume difference and the similarity between estimated CBCT and the CBCT reconstructed from fully sampled projections. Results: Results showed that scan direction and number of projections do not have significant effects on the CBCT estimation accuracy. The total scan angle is the dominant factor affecting the accuracy of the CBCT estimation algorithm. Larger scan angles yield better estimation accuracy than smaller scan angles. Lung cancer patient data showed that the estimation error of the 3D lung tumor volume was reduced from 13.3% to 4.3% when the scan angle was increased from 60 Degree-Sign to 360 Degree-Sign using 57 projections. Conclusions: The proposed estimation method is applicable for 3D DTS, 3D CBCT, four-dimensional CBCT, and four-dimensional DTS image estimation. This method has the potential for significantly reducing the imaging dose and improving the image quality by removing the organ distortion artifacts and streak artifacts shown in images reconstructed by the conventional Feldkamp-Davis-Kress (FDK) algorithm.

  19. Subsidence at the Weeks Island SPR Facility

    SciTech Connect (OSTI)

    Bauer, S.J.

    1999-01-01T23:59:59.000Z

    The elevation change data measured at the Weeks Island SPR site over the last 16+ years has been studied and analyzed. The subsidence rate is not constant with time and while the subsidence rate may have increased slightly during the past several years, recently the rate has increased more dramatically. The most recent increase comes at a time when the Strategic Petroleum Reserve (SPR) storage mine had been emptied of oil and was in the process of being refilled with brine. Damage to surface structures that has been observed during the past 12-18 months is attributed to the continued subsidence and dtierential subsidence across structures. The recent greater subsidence rates were unanticipated according to analysis results and will be used to aid further subsidence model development.

  20. The link between a negative high resolution resist contrast/developer performance and the Flory-Huggins parameter estimated from the Hansen solubility sphere

    SciTech Connect (OSTI)

    StCaire, Lorri; Olynick, Deirdre L.; Chao, Weilun L.; Lewis, Mark D.; Lu, Haoren; Dhuey, Scott D.; Liddle, J. Alexander

    2008-07-01T23:59:59.000Z

    We have implemented a technique to identify candidate polymer solvents for spinning, developing, and rinsing for a high resolution, negative electron beam resist hexa-methyl acetoxy calix(6)arene to elicit the optimum pattern development performance. Using the three dimensional Hansen solubility parameters for over 40 solvents, we have constructed a Hansen solubility sphere. From this sphere, we have estimated the Flory Huggins interaction parameter for solvents with hexa-methyl acetoxy calix(6)arene and found a correlation between resist development contrast and the Flory-Huggins parameter. This provides new insights into the development behavior of resist materials which are necessary for obtaining the ultimate lithographic resolution.

  1. Development of the town data base: Estimates of exposure rates and times of fallout arrival near the Nevada Test Site

    SciTech Connect (OSTI)

    Thompson, C.B.; McArthur, R.D. [Univ. and Community College System of Nevada, Las Vegas, NV (United States); Hutchinson, S.W. [Mead Johnson Nutritional Group, Evansville, IN (United States)

    1994-09-01T23:59:59.000Z

    As part of the U.S. Department of Energy`s Off-Site Radiation Exposure Review Project, the time of fallout arrival and the H+12 exposure rate were estimated for populated locations in Arizona, California, Nevada, and Utah that were affected by fallout from one or more nuclear tests at the Nevada Test Site. Estimates of exposure rate were derived from measured values recorded before and after each test by fallout monitors in the field. The estimate for a given location was obtained by retrieving from a data base all measurements made in the vicinity, decay-correcting them to H+12, and calculating an average. Estimates were also derived from maps produced after most events that show isopleths of exposure rate and time of fallout arrival. Both sets of isopleths on these maps were digitized, and kriging was used to interpolate values at the nodes of a 10-km grid covering the pattern. The values at any location within the grid were then estimated from the values at the surrounding grid nodes. Estimates of dispersion (standard deviation) were also calculated. The Town Data Base contains the estimates for all combinations of location and nuclear event for which the estimated mean H+12 exposure rate was greater than three times background. A listing of the data base is included as an appendix. The information was used by other project task groups to estimate the radiation dose that off-site populations and individuals may have received as a result of exposure to fallout from Nevada nuclear tests.

  2. ORNL Lightweighting Research Featured on MotorWeek

    SciTech Connect (OSTI)

    None

    2014-04-15T23:59:59.000Z

    PBS MotorWeek, television's longest running automotive series, featured ORNL lightweighting research for vehicle applications in an episode that aired in early April 2014. The crew captured footage of research including development of new metal alloys, additive manufacturing, carbon fiber production, advanced batteries, power electronics components, and neutron imaging applications for materials evaluation.

  3. ORNL Lightweighting Research Featured on MotorWeek

    ScienceCinema (OSTI)

    None

    2014-06-03T23:59:59.000Z

    PBS MotorWeek, television's longest running automotive series, featured ORNL lightweighting research for vehicle applications in an episode that aired in early April 2014. The crew captured footage of research including development of new metal alloys, additive manufacturing, carbon fiber production, advanced batteries, power electronics components, and neutron imaging applications for materials evaluation.

  4. GRADUATE STUDENT COURSE ASSIGNMENTS Block 0 Analysis ---Fefferman Week 1

    E-Print Network [OSTI]

    May, J. Peter

    Lewicka Weeks 1­8 Block 5 Apprentice Program --- Abert Babai May Weeks 1*­4 Week 1 Week 2 Week 3 Week 4­8) Bremer (7­8), Carstea, Gurski, Morris, Rule Block 5 (Apprentice) (weeks 1­4, possibly 5­8) Abouzaid and by mentoring group Name Block Weeks Mentoring Mohammed Abouzaid 5 4 weeks (first 4) Apprentice David Balduzzi 2

  5. PROBLEM OF THE WEEK - Purdue University

    E-Print Network [OSTI]

    1911-01-11T23:59:59.000Z

    Jan 25, 2011 ... air resistance, find the maximum height above the roadway which the ... week and invites college & pre-college students, faculty, and staff to ...

  6. Department of Mathematics: Problem of the Week

    E-Print Network [OSTI]

    A panel in the Mathematics Department publishes a challenging problem once a week and invites college & pre-college students, faculty, and staff to submit ...

  7. WEEK OF WELCOME EVENTS Sunday, August 17

    E-Print Network [OSTI]

    Collins, Gary S.

    Cougar Card during this week*** Cougs Play Day (9:00 a.m.-7:00 p.m., Student Recreation Center): A full

  8. Winter fuels report, week ending October 20, 1995

    SciTech Connect (OSTI)

    NONE

    1995-11-01T23:59:59.000Z

    Weekly estimates of distillate stocks (131.6 MMB) are now 2.1 MMB below the lower bound of the three year average, and the current rate of increase is also lower than the average of the past three years. Heating fuels are 48% of the total inventory and have fallen 1.3 MMB during the past week. Distillate production dipped while demand increased. The supply of propane for the current week declined 1.5 MMB from the prior reporting period but is in the normal range for the time of the year. The natural gas supply available for distribution in August 1995 was estimated to be 1,795 BCF, which was almost unchanged from the previous year. The August 1995 consumption of 1,502 BCF was 6% greater than the previous year. This gas volume included 276 BCF injected into underground storage and 16 BCF exported. In July 1995, major gas pipeline companies paid an average of $1.91/KCF for gas purchased from domestic producers, which was a decrease from $2.03 in the previous month. The price for imported gas was $1.10/KCF. Heating oil prices showed little movement during this period, as did propane prices.

  9. Administration and Finance Weekly Activity Report

    E-Print Network [OSTI]

    Nishiguchi, Michele

    Hearings for FY2014 - 2015 Equipment Renewal and Replacement Funding ­ The University Budget Committee (UBC) met on June 4th and 5th to hear requests from colleges and units for ERR funding for FY 2015· Administration and Finance · Weekly Activity Report · Week Ending: June 6, 2014 · · Budget

  10. Administration and Finance Weekly Activity Report

    E-Print Network [OSTI]

    Administration and Finance Weekly Activity Report Week Ending: February 28, 2014 · Administration and Finance Website ­ The website for Administration and Finance has been successfully migrated into NMSU Administration and Finance forms page. · New Collections System ­ Working in conjunction with the University

  11. university-logo Induction Week: Welcome

    E-Print Network [OSTI]

    Koehn, Philipp

    university-logo Induction Week: Welcome Alex Lascarides TH E U N I V E R S ITY OF E D I N B U R G H September, 2012 Alex Lascarides PhD Induction Week #12;university-logo Welcome People Alex Lascarides;university-logo What the IGS does for PhD students Admissions and funding Supervisory arrangements Monitoring

  12. Estimating Methods

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

    1997-03-28T23:59:59.000Z

    Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

  13. Joint U.S./Russian Study on the Development of a Preliminary Cost Estimate of the SAFSTOR Decommissioning Alternative for the Leningrad Nuclear Power Plant Unit #1

    SciTech Connect (OSTI)

    SM Garrett

    1998-09-28T23:59:59.000Z

    The objectives of the two joint Russian/U.S. Leningrad Nuclear Power Plant (NPP) Unit #1 studies were the development of a safe, technically feasible, economically acceptable decom missioning strategy, and the preliminary cost evaluation of the developed strategy. The first study, resulting in the decommissioning strategy, was performed in 1996 and 1997. The preliminary cost estimation study, described in this report, was performed in 1997 and 1998. The decommissioning strategy study included the analyses of three basic RBM.K decommission- ing alternatives, refined for the Leningrad NPP Unit #1. The analyses included analysis of the requirements for the planning and preparation as well as the decommissioning phases.

  14. SimHydro 2012: Hydraulic modeling and uncertainty, 12-14 September 2012, Sophia Antipolis N. Jean-Baptiste, C. Dore, P-O. Malaterre, J. Sau -Data assimilation for hydraulic state estimation of a development project

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    SimHydro 2012: Hydraulic modeling and uncertainty, 12-14 September 2012, Sophia Antipolis ­ N. Jean-Baptiste, C. Dorée, P-O. Malaterre, J. Sau - Data assimilation for hydraulic state estimation of a development project Data assimilation for hydraulic state estimation of a development project Assimilation de données

  15. DSM Program Development. The demand-side resource options were developed using a combination of internal engineering estimates and external consulting services. The

    E-Print Network [OSTI]

    for the determination of the optimum program level to be included in the IRP. The demand-side management options wereDSM Program Development. The demand-side resource options were developed using a combination Practices Manual: Economic Analysis of Demand-side Programs and Projects.2 The proposed DSM programs

  16. Brazil Week 2014Brazil Week 2014MONDAYMONDAY SEPT. 29SEPT. 29 Brazil Week is sponsored by: And co-sponsored by

    E-Print Network [OSTI]

    Bordenstein, Seth

    Brazil Week 2014Brazil Week 2014MONDAYMONDAY SEPT. 29SEPT. 29 Brazil Week is sponsored by: And co and the Brazil Week 2014 Student Committee. WEDNESDAYWEDNESDAY Oct. 1Oct. 1 THURSDAYTHURSDAY Oct. 2Oct. 2 by Professor Jay Coakley "Winners & LosersJay Coakley "Winners & Losers in Brazil: World Cupin Brazil: World

  17. Vehicle Technologies' Fact of the Week 2012

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Moore, Sheila A [ORNL; Boundy, Robert Gary [ORNL

    2013-02-01T23:59:59.000Z

    Each week the U.S. Department of Energy s Vehicle Technology Office (VTO) posts a Fact of the Week on their website: http://www1.eere.energy.gov/vehiclesandfuels/ . These Facts provide statistical information, usually in the form of charts and tables, on vehicle sales, fuel economy, gasoline prices, and other transportation-related trends. Each Fact is a stand-alone page that includes a graph, text explaining the significance of the data, the supporting information on which the graph was based, and the source of the data. A link to the current week s Fact is available on the VTO homepage, but older Facts are archived and still available at: http://www1.eere.energy.gov/vehiclesandfuels/facts/. This report is a compilation of the Facts that were posted during calendar year 2012. The Facts were written and prepared by staff in Oak Ridge National Laboratory's Center for Transportation Analysis.

  18. Weekly Natural Gas Storage Report Schedule

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEureka AnalyticsLargeHome|WebsiteWeeklyWeekly

  19. Winter fuels report. Week ending, January 26, 1996

    SciTech Connect (OSTI)

    NONE

    1996-01-23T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers analysts, and State and local governments on the following topics: (1) distillate fuel oil net production, imports and stocks on a U.S. level and for all Petroleum Administration for Defense Districts (PADD) and product supplied on a U.S. level; (2) propane net production, imports and stocks on a U.S. level and for PADD`s I, II, and III; (3) natural gas supply and disposition and underground storage for the U.S. and consumption for all PADD`s; as well as selected National average prices; (4) residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; (5) crude oil and petroleum price comparisons for the U.S. and selected cities; and (6) a 6-10 Day and 30-Day outlook for temperature and precipitation and U.S. total heating degree-days by city. The distillate fuel oil and propane supply data are collected and published weekly. The data are based on company submissions for the week ending 7:00 a.m. for the preceding Friday. Weekly data for distillate fuel oil are also published in the Weekly Petroleum Status Report. Monthly data for distillate fuel oil and propane are published in the Petroleum Supply Monthly. The residential pricing information is collected by the EIA and the State Energy Offices on a semimonthly basis for the EIA/State Heating Oil and Propane Program. The wholesale price comparison data are collected daily and are published weekly. Residential heating fuel prices are derived from price quotes for home delivery of No. 2 fuel oil and propane. As such, they reflect prices in effect on the dates shown. Wholesale heating oil and propane prices are estimates using a sample of terminal quotes to represent average State prices on the dates given.

  20. Celebrating National Small Business Week, and Our FY 2011 Small...

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

    Celebrating National Small Business Week, and Our FY 2011 Small Business Award Winners Celebrating National Small Business Week, and Our FY 2011 Small Business Award Winners May...

  1. Data Jam at New York Energy Week | Department of Energy

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

    Data Jam at New York Energy Week Data Jam at New York Energy Week Addthis Duration 2:32 Topic Open Data...

  2. Revision Policy for EIA Weekly Underground Natural Gas Storage...

    Weekly Natural Gas Storage Report (EIA)

    April 26, 2005 This report consists of the following sections: General EIA Weekly Natural Gas Storage Report Revisions Policy - a description of how revisions to the Weekly Natural...

  3. Research Administration & Finance Tip of the Week

    E-Print Network [OSTI]

    Salama, Khaled

    Research Administration & Finance Tip of the Week Catalogue of Federal Domestic Assistance (CFDA) Overview What is a CFDA number? The Catalog of Federal Domestic Assistance (CFDA) is a government. The complete CFDA number is a five digit number, XX.XXX, where the first two digits represent the Funding

  4. Weekly Market Bulletin State of New Hampshire

    E-Print Network [OSTI]

    New Hampshire, University of

    Weekly Market Bulletin State of New Hampshire Maggie Hassan Governor Department of Agriculture, Markets & Food Lorraine S. Merrill Commissioner Vol. 94 EAB Quarantine Is Now Permanent Make Every Day,' an effort to raise awareness of sun safety practices, elimi- nating ultraviolet (UV) radiation overexpo

  5. IWSA WEEKLY UPDATE February 20, 2009

    E-Print Network [OSTI]

    Columbia University

    a team of managers "to ensure that the precious dollars we have invested are being spent wisely and well's committee had a hearing last week on his draft plan to require power plants to produce 20 percent emissions reporting and reduction, has named Covanta a "Climate Action Leader" for voluntarily calculating

  6. IWSA WEEKLY UPDATE January 30, 2009

    E-Print Network [OSTI]

    Columbia University

    , including waste-to-energy, in New York's Hudson Valley. After her swearing in this week, Gillibrand the ten waste-to-energy facilities in New York. #12;A reminder: IWSA has moved. Our new location is: 1730 and Environment Coalition, a new caucus designed to push for policies that promote renewable energy and domestic

  7. Willamette Math Problem of the Week

    E-Print Network [OSTI]

    Laison, Josh

    of "Zambonis For You" and their only driver. His job is to resurface the ice at the local skating rink. Wanting 32 key points on the ice rink, the zamboni will be wide enough to resurface every spot on the rinkWillamette Math Problem of the Week November 5 2007 An Ice Problem Tony Zamboni is the owner

  8. Research Administration & Finance Tip of the Week

    E-Print Network [OSTI]

    Salama, Khaled

    ? Investigators conduct human subject research when they carry out experiments on humans, conduct observationalResearch Administration & Finance Tip of the Week Human Subjects What is Human Subject Research studies, or obtain data and individually identifiable private information about human beings

  9. Week 13: Chapter 13 Universal Gravitation

    E-Print Network [OSTI]

    1 Week 13: Chapter 13 Universal Gravitation Newton's Law of Universal Gravitation Every particle placed near the small ones The angle of rotation was measured Law of Gravitation, cont's Third Law action-reaction pair Gravitation is a field force that always exists between two particles

  10. Northern Michigan FRUITNET 2000 Weekly Update

    E-Print Network [OSTI]

    is the only fungicide currently labeled that will control it at this stage of growth. If you have Rovral with the old label on it, it can be used. Check the pre- harvest interval on the label. APPLE MAGGOT ­ Last. SPOTTED TENTIFORM LEAFMINER ­ Trap catches dropped off to 372 per trap, down from the previous two weeks

  11. Vehicle Technologies' Fact of the Week 2011

    SciTech Connect (OSTI)

    Davis, Stacy Cagle [ORNL; Diegel, Susan W [ORNL; Boundy, Robert Gary [ORNL

    2012-04-01T23:59:59.000Z

    Each week the U.S. Department of Energy s Vehicle Technology Program (VTP) posts a Fact of the Week on their website: http://www1.eere.energy.gov/vehiclesandfuels/. These Facts provide statistical information, usually in the form of charts and tables, on vehicle sales, fuel economy, gasoline prices, and other transportation-related trends. Each Fact is a stand-alone page that includes a graph, text explaining the significance of the data, the supporting information on which the graph was based, and the source of the data. A link to the current Fact is available Monday through Friday on the VTP homepage, but older Facts are archived and still available at: http://www1.eere.energy.gov/vehiclesandfuels/facts/. This report is a compilation of the Facts that were posted during calendar year 2011. The Facts were written and prepared by staff in Oak Ridge National Laboratory's Center for Transportation Analysis.

  12. Orientation Week Events School of Computer Science

    E-Print Network [OSTI]

    Brierley, Andrew

    Orientation Week Events School of Computer Science September 8th ­ September 12th Monday 8th:00­16:00 Jack Cole 1.33a/b Computer Science Junior Honours Project Briefing MSc 14:30­16:30 John Honey 110 MSc to First Year Computer Science Students 1 10:15­10:45 John Honey 110 First Year Systems Briefing 4 10

  13. Orientation Week Events School of Computer Science

    E-Print Network [OSTI]

    St Andrews, University of

    Orientation Week Events School of Computer Science September 9th ­ September 12th Monday 9th:00­10:30 Jack Cole 0.35 MSc Curriculum Overview 3 14:00­16:00 Jack Cole 1.33a Computer Science Junior Honours Location Event 1 9:30­10:30 Jack Cole 0.35 Welcome to First Year Computer Science Students 1 10

  14. Papers of the Week Metabolic Monoubiquitination

    E-Print Network [OSTI]

    Plaxton, William

    enzyme? As shown by the novel work in this Paper of the Week by R. Glen Uhrig and colleagues, the an, and in revised form, August 25, 2008 Published, JBC Papers in Press,August 26, 2008, DOI 10.1074/jbc.M806102200 R. Glen Uhrig1 , Yi-Min She§ , Craig A. Leach¶ , and William C. Plaxton 2 From the Departments of Biology

  15. Estimating Specialty Costs

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

    1997-03-28T23:59:59.000Z

    Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

  16. Cooling load estimation methods

    SciTech Connect (OSTI)

    McFarland, R.D.

    1984-01-01T23:59:59.000Z

    Ongoing research on quantifying the cooling loads in residential buildings, particularly buildings with passive solar heating systems, is described. Correlations are described that permit auxiliary cooling estimates from monthly average insolation and weather data. The objective of the research is to develop a simple analysis method, useful early in design, to estimate the annual cooling energy required of a given building.

  17. Development and use of the GREET model to estimate fuel-cycle energy use and emissions of various transportation technologies and fuels

    SciTech Connect (OSTI)

    Wang, M.Q.

    1996-03-01T23:59:59.000Z

    This report documents the development and use of the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model. The model, developed in a spreadsheet format, estimates the full fuel- cycle emissions and energy use associated with various transportation fuels for light-duty vehicles. The model calculates fuel-cycle emissions of five criteria pollutants (volatile organic compounds, carbon monoxide, nitrogen oxides, sulfur oxides, and particulate matter measuring 10 microns or less) and three greenhouse gases (carbon dioxide, methane, and nitrous oxide). The model also calculates the total fuel-cycle energy consumption, fossil fuel consumption, and petroleum consumption using various transportation fuels. The GREET model includes 17 fuel cycles: petroleum to conventional gasoline, reformulated gasoline, clean diesel, liquefied petroleum gas, and electricity via residual oil; natural gas to compressed natural gas, liquefied petroleum gas, methanol, hydrogen, and electricity; coal to electricity; uranium to electricity; renewable energy (hydrogen, solar energy, and wind) to electricity; corn, woody biomass, and herbaceous biomass to ethanol; and landfill gases to methanol. This report presents fuel-cycle energy use and emissions for a 2000 model-year car powered by each of the fuels that are produced from the primary energy sources considered in the study.

  18. Structural stability of the Weeks Island oil repository

    SciTech Connect (OSTI)

    Preece, D.S.; Ehgartner, B.L.

    1994-06-01T23:59:59.000Z

    A 3-D finite element analysis was performed to evaluate the stability of the SPR upper and lower oil storage levels at Weeks Island. The mechanical analysis predicted stresses and strains from which pillar stability was inferred using a fracture criterion developed from previous testing of Weeks Island salt. This analysis simulated the sequential mining of the two levels and subsequent oil fill of the mine. The predicted subsidence rates compare well to those measured over the past few years. Predicted failure mechanisms agree with observations made at the time the mine was being modified for oil storage. The modeling technique employed here treats an infinite array of pillars and is a reasonable representation of the behavior at the center of the mine. This analysis predicts that the lower level pillars, at the center of the mine, have fractured and their stability at this time is questionable. Localized pillar fracturing is predicted and implies that the mine is entering a phase of continual time dependent deterioration. Continued and expanded monitoring of the facility and development of methods to assess and predict its behavior are more important now than ever.

  19. Photo of the Week | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM5Parabolic TroughPhoto Gallery: Energy Literacy in 2013Week

  20. U.S. Weekly Product Supplied

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial and InstitutionalArea: U.S.Feet)Weekly Product

  1. Grid Week 2008 | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM Flash2011-12 OPAMGeneral GuidanceEnergy Launching PadGrid Week 2008

  2. National Nuclear Science Week 2013 - SRSCRO

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The EnergyCenterDioxide CaptureSeeNUCLEAR SCIENCE WEEK October 21-25,

  3. National Nuclear Science Week 2014 - SRSCRO

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The EnergyCenterDioxide CaptureSeeNUCLEAR SCIENCE WEEK October

  4. Weekly Highlights | Princeton Plasma Physics Lab

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening aTurbulenceUtilizeRuralthe emergency response assetsSystems,Weekly

  5. EIA-804, Weekly Imports Report Page 1

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name: Email: Terminal Control EIA-802, Weekly3,

  6. Fermilab Today | Tip of the Week Archive

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA)Budget » FYU.S. DOEFigureTip of the Week Archive -

  7. Earth Week event all about energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet UpdateEarth Week event all about energy

  8. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, developers manual.

    SciTech Connect (OSTI)

    Eldred, Michael Scott; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Hough, Patricia Diane (Sandia National Laboratories, Livermore, CA); Gay, David M.; Eddy, John P.; Haskell, Karen H.

    2010-05-01T23:59:59.000Z

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.

  9. Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 developers manual.

    SciTech Connect (OSTI)

    Griffin, Joshua D. (Sandia National lababoratory, Livermore, CA); Eldred, Michael Scott; Martinez-Canales, Monica L. (Sandia National lababoratory, Livermore, CA); Watson, Jean-Paul; Kolda, Tamara Gibson (Sandia National lababoratory, Livermore, CA); Giunta, Anthony Andrew; Adams, Brian M.; Swiler, Laura Painton; Williams, Pamela J. (Sandia National lababoratory, Livermore, CA); Hough, Patricia Diane (Sandia National lababoratory, Livermore, CA); Gay, David M.; Dunlavy, Daniel M.; Eddy, John P.; Hart, William Eugene; Brown, Shannon L.

    2006-10-01T23:59:59.000Z

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.

  10. Population estimates for Phase 1: Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    Beck, D.M.; Erickson, A.R.; Harkreader, S.A.

    1992-03-01T23:59:59.000Z

    This report summarizes the population estimates of Phase I of the Hanford Environmental Dose Reconstruction (HEDR) Project. These estimates were used to develop preliminary dose estimates.

  11. Photo of the Week: Pi + NASA + Supercomputing | Department of...

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

    Every week, we'll feature our favorite energy-related photo here on Energy.gov, at Facebook.comEnergygov and on Twitter via @ENERGY. For other photos of the week, view our...

  12. NNSA Small Business Week 2012: Small businesses play vital role...

    National Nuclear Security Administration (NNSA)

    Jobs Apply for Our Jobs Our Jobs Working at NNSA Blog Home NNSA Blog NNSA Small Business Week 2012: Small businesses ... NNSA Small Business Week 2012: Small businesses play...

  13. FOOD GUIDELINES --WEEKLY STUDENT ORGANIZATION MEETING ONLY January 31, 2006

    E-Print Network [OSTI]

    Ponce, V. Miguel

    FOOD GUIDELINES -- WEEKLY STUDENT ORGANIZATION MEETING ONLY January 31, 2006 Student Activities, organizations with an average of fewer than 50 members and guests at their weekly meetings may serve food Shops Note: The following guidelines relate only to student organizations' on-campus weekly meetings

  14. Florida Saves Week 1 2010 Superior Accomplishment 1

    E-Print Network [OSTI]

    Jawitz, James W.

    Florida Saves Week 1 2010 Superior Accomplishment 1 Awards Fresh Florida Seafood for Lunch 2 2011 Table of Contents Florida Saves Week 1 2010 Superior Accomplishment 1 Awards Fresh Florida Seafood Florida Saves Week Dr. Millie Ferrer-Chancy, Interim Dean for Extension and Dr. Michael Gutter, Assistant

  15. Jobs and Economic Development Modeling

    Broader source: Energy.gov [DOE]

    Project objective: Develop models to estimate jobs and economic impacts from geothermal project development and operation.

  16. Contribution to the development of DOE ARM Climate Modeling Best Estimate Data (CMBE) products: Satellite data over the ARM permanent and AMF sites: Final Report

    SciTech Connect (OSTI)

    Xie, B; Dong, X; Xie, S

    2012-05-18T23:59:59.000Z

    To support the LLNL ARM infrastructure team Climate Modeling Best Estimate (CMBE) data development, the University of North Dakota (UND)'s group will provide the LLNL team the NASA CERES and ISCCP satellite retrieved cloud and radiative properties for the periods when they are available over the ARM permanent research sites. The current available datasets, to date, are as follows: the CERES/TERRA during 200003-200812; the CERES/AQUA during 200207-200712; and the ISCCP during 199601-200806. The detailed parameters list below: (1) CERES Shortwave radiative fluxes (net and downwelling); (2) CERES Longwave radiative fluxes (upwelling) - (items 1 & 2 include both all-sky and clear-sky fluxes); (3) CERES Layered clouds (total, high, middle, and low); (4) CERES Cloud thickness; (5) CERES Effective cloud height; (6) CERES cloud microphysical/optical properties; (7) ISCCP optical depth cloud top pressure matrix; (8) ISCCP derived cloud types (r.g., cirrus, stratus, etc.); and (9) ISCCP infrared derived cloud top pressures. (10) The UND group shall apply necessary quality checks to the original CERES and ISCCP data to remove suspicious data points. The temporal resolution for CERES data should be all available satellite overpasses over the ARM sites; for ISCCP data, it should be 3-hourly. The spatial resolution is the closest satellite field of view observations to the ARM surface sites. All the provided satellite data should be in a format that is consistent with the current ARM CMBE dataset so that the satellite data can be easily merged into the CMBE dataset.

  17. Estimation of food consumption

    SciTech Connect (OSTI)

    Callaway, J.M. Jr.

    1992-04-01T23:59:59.000Z

    The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.

  18. National Drive Electric Week | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_Cost Estimating35.docMusings on| DepartmentEnergyNational Drive

  19. Joint CQSE and CASTS Seminar Weekly Seminar

    E-Print Network [OSTI]

    Wu, Yih-Min

    Development and Benchmark of New Multi-Coefficient Double-Hybrid Density Functional Theory with SCS-MP2 and MP Cheng University PLACE Rm716, CCMS & New Physics Building, NTU Abstract We have developed a series. The performance of MC-DFT can be further improved combining energies from ab initio MP2 and SCS-MP2 calculation

  20. Evolving artificial neural networks to control chaotic systems Eric R. Weeks* and John M. Burgess

    E-Print Network [OSTI]

    Weeks, Eric R.

    Evolving artificial neural networks to control chaotic systems Eric R. Weeks* and John M. Burgess 78712 Received 7 April 1997 We develop a genetic algorithm that produces neural network feedback of unstable fixed points. This is the first dimension- independent algorithm that produces neural network

  1. Evolving artificial neural networks to control chaotic systems Eric R. Weeks* and John M. Burgess +

    E-Print Network [OSTI]

    Weeks, Eric R.

    Evolving artificial neural networks to control chaotic systems Eric R. Weeks* and John M. Burgess 78712 ~Received 7 April 1997! We develop a genetic algorithm that produces neural network feedback a robust method of train­ ing neural networks to control chaos. The method makes no assumptions about

  2. Training is sponsoring a 12 week Dale Carnegie Course | Jefferson...

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

    Training is sponsoring a 12 week Dale Carnegie Course: Effective Communications and Human Relations. This course will help you master the capabilities demanded in today's tough...

  3. Photo of the Week: Controlling Chaos with Magnetic Fields | Department...

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

    Favorites from Photo of the Week This 1978 photo shows two workers inside the Mirror Fusion Test Facility, a magnetic confinement fusion device designed and built at Lawrence...

  4. Jefferson Lab Weekly Briefs April 29, 2015 | Jefferson Lab

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

    Cryogen Hazard Analysis." https:jlabdocdocusharedswebGetDocument-10172614-032.pdf Records and Information Management Month Fact of the Week In 1953, the cost for a gigabyte...

  5. Temperature Data for Week Ending May 12, 2005

    Gasoline and Diesel Fuel Update (EIA)

    Temperature Data for Week Ending May 12, 2005 (F) Source: National Oceanic and Atmospheric Administration, National Weather Service Average Temperature Deviation Between Average...

  6. Photo of the Week: Students from Roosevelt Middle School win...

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

    Students from Roosevelt Middle School win Argonne's 2013 Regional Science Bowl Photo of the Week: Students from Roosevelt Middle School win Argonne's 2013 Regional Science Bowl...

  7. PPPL Weekly Highlights for the Week Ending May 29, 2015 | Princeton Plasma

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomass and4/26/11:Tel.:162Physics Lab Weekly Highlights Fact

  8. PPPL Weekly Highlights for the Week Ending May 8, 2015 | Princeton Plasma

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomass and4/26/11:Tel.:162Physics Lab Weekly Highlights

  9. Cost Estimating, Analysis, and Standardization

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

    1984-11-02T23:59:59.000Z

    To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

  10. Trade, Environment and Sustainable Development Spring 2006 Monday 6-10 pm Peter Dorman

    E-Print Network [OSTI]

    to environmental destruction in the developing world (Environmental Kuznets Curve)? On Week 5 we will focus

  11. SPACE TECHNOLOGY Actual Estimate

    E-Print Network [OSTI]

    SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE TECHNOLOGY OVERVIEW .............................. TECH- 2 SBIR AND STTR

  12. One Week Training Course Engine Emission Formation

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    and lavish consumption of fossil fuels have led to reduction in underground- based carbon resources. This has regeneration · NOx control using exhaust after-treatment such as selective catalyst reduction and NOx storage. The first day of the course i.e. 28th June will be for the field visit to Engine Development Directorate

  13. WORLD TRADE WEEK 2013 COLLEGE/UNIVERSITY SCHOLARSHIPS

    E-Print Network [OSTI]

    de Lijser, Peter

    WORLD TRADE WEEK 2013 COLLEGE/UNIVERSITY SCHOLARSHIPS The World Trade Week 2013 Education Committee is sponsoring several $1000 scholarships for students intending to pursue a career in international trade relating to international trade. If a student's major does not have an international dimension

  14. 2012 National Hurricane Preparedness Week Page 1 Online Resources

    E-Print Network [OSTI]

    2012 National Hurricane Preparedness Week Page 1 Online Resources 2012 NATIONAL HURRICANE Administration (NOAA) recommend using social media tools as a way to promote National Hurricane Preparedness Week, May 27 ­ June 2, and throughout hurricane season. You can promote hurricane preparedness through your

  15. Stability evaluation of the Markel Mine at Weeks Island, Louisiana

    SciTech Connect (OSTI)

    Hoffman, E.L.

    1994-06-01T23:59:59.000Z

    A three dimensional (3D) finite element analysis of the Markel Mine located on Weeks Island was performed to: (1) evaluate the stability of the mine and (2) determine the effect of mine failure on the nearby Morton Salt mine and SPR facilities. The first part of the stability evaluation investigates the effect of pillar failure on mine stability. These simulations revealed that tensile stresses and dilatant damage develop in the overlying salt as a result of pillar loss. These tensile stresses extend to the salt/overburden interface only for the case where all 45 of the pillars are assumed to fail. Tensile stresses would likely cause microfracturing of the salt, resulting in a flow path for groundwater from the overlying aquifer to enter the mine. The dilatant damage bridges between the mine and the overburden in the case where 15 or more pillars are removed from the model. Dilatant damage is attributed to microfracturing or changes in the pore structure of the salt and could also result in a flow path for groundwater to enter the mine. The second part of the Markel Mine evaluation investigates the stability of the pillars with respect to three failure mechanisms: tensile failure, compressive failure, and creep rupture. A 3D slabbing pillar model of the Markel mine was developed to investigate progressive failure of the pillars and the effect of slabbing on mine stability. Based on a strain-limiting creep rupture criterion, pillar failure is predicted to be extensive at present. The associated loss of pillar strength should be equivalent to removing all pillars from the model as was done in the first part of this stability analysis, resulting in the possibility of ground water intrusion. Since creep rupture is not a well understood phenomenon, further development and validation of this criterion is recommended.

  16. SELF CONTAINED BREATHING APPARATUS (SCBA) WEEKLY AND MONTHLY CHECKLIST Weekly Inspection Date: Comments Yes No (if No, remove from service) Inspected by

    E-Print Network [OSTI]

    Slatton, Clint

    Appendix F SELF CONTAINED BREATHING APPARATUS (SCBA) WEEKLY AND MONTHLY CHECKLIST Weekly Inspection OK? Cleaned and Sanitized? Entire Apparatus OK? #12;Appendix F SCBA CHECKLIST Inspection After Each

  17. Question of the Week: Do Energy-Related Financial Incentives...

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

    Do Energy-Related Financial Incentives Prompt You to Be More Energy Efficient? Question of the Week: Do Energy-Related Financial Incentives Prompt You to Be More Energy Efficient?...

  18. Careers in Energy Week, Oct. 15-21

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

    3 12 FOR IMMEDIATE RELEASE Bonneville Power Administration Thursday, Oct. 11, 2012 CONTACT: Kevin Wingert, BPA, 503-230-4145 or 503-230-5131 Careers in Energy Week, Oct. 15-21,...

  19. MotorWeek H2 on the Horizon Video

    Broader source: Energy.gov [DOE]

    MotorWeek Host: Fuel cell electric cars, or FCEVs, provide drivers with the same benefits as current gasoline vehicles with a comparable driving range and refueling in just a few minutes. FCEVs don...

  20. PPPL's Earth Week features Colloquium on NYC green plan, cleanup...

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

    PPPL's Earth Week features Colloquium on NYC green plan, cleanup and awards By Jeanne Jackson DeVoe April 28, 2014 Tweet Widget Google Plus One Share on Facebook Volunteers clean...

  1. Photo of the Week: Women in STEM -- Elaine Zworykin | Department...

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

    Every week, we'll feature our favorite energy-related photo here on Energy.gov, at Facebook.comEnergygov, on Twitter via @ENERGY and on our Flickr photostream. For other photos...

  2. InternatIonal Week March 22 -29, 2014

    E-Print Network [OSTI]

    Hou, Y. Thomas

    of International Student Organizations (CISO) has partnered with Virginia Tech's international clubs to sponsor. Location: GLC Auditorium SponSored by CISo InternatIonal Week event Calendar: Cranwell International Center

  3. Problems Of The Week Due March 26th

    E-Print Network [OSTI]

    Bigelow, Stephen

    Problems Of The Week Due March 26th Make sure to review the guidelines before you start! You can triangle are whole numbers. The perimeter of the triangle is 110 inches and one side has measure 29 inches

  4. NNSA Small Business Week 2012: Cadre5 supports NNSA's Global...

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

    Press Releases Video Gallery Photo Gallery Jobs Apply for Our Jobs Our Jobs Working at NNSA Blog Home NNSA Blog NNSA Small Business Week 2012: Cadre5 supports ... NNSA Small...

  5. PHY 3003 SPRING 2014 Week of April 14

    E-Print Network [OSTI]

    Millis, Andrew

    . (Numbers refer to problems in Classical Mechanics, J. R. Taylor, 2005 Edition). (1) 11.2 (2) 11.4 (3) 11PHY 3003 SPRING 2014 Week of April 14 Reading: Taylor, Chapter 11 Homework: Due in class April 21

  6. Natural Gas Storage Report, Weekly EIA-AGA Comparison

    Reports and Publications (EIA)

    2002-01-01T23:59:59.000Z

    This report is intended to aid data users by examining differences between the Energy Information Administration and American Gas Association weekly surveys and comparing the results of the two surveys for the brief period of time in which they overlapped.

  7. VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________

    E-Print Network [OSTI]

    Yang, Zong-Liang

    VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________ Door #____________ License Plate ____________________ Vehicle/Supplies (Enter Description such as grade sheets, artifacts, money, etc.) 6. Taking vehicle to Automotive Shop

  8. UC Energy Week 2010 May 10-12, 2010

    E-Print Network [OSTI]

    UC Energy Week 2010 May 10-12, 2010 Inventing a New Energy Future Biomass Energy Geothermal Energy Solar Energy Wind Energy & Integrated Renewables InventIng a new energy Future UC EnErgy WEEk 2010 May 10­12, 2010 rgy intEgratEd rEnEWaBlEs Biomass EnErgy gEothErmal En nErgy gEothErmal EnErgy

  9. AT A GLANCE. INSECT AND DISEASE PROBLEMS THAT SHOULD BE CONSIDERED THIS WEEK. PEST/DISEASE WEEK OF June 13 WEEK OF JUNE 20

    E-Print Network [OSTI]

    Goodman, Robert M.

    there will be a lasting negative effect of the heat event. I would make sure the effected plants are not put into water harvest, but before the end of July (7 day PHI). Monitor and treat if needed. Putnam Scale Esteem the fruit. As I mentioned last week, this takes a tremendous amount of nutrients and water and so the plant

  10. PANHELLENIC COUNCIL POLICY REGARDING PHILANTHROPY WEEKS The Panhellenic community fully supports and encourages participation of sorority women in fraternity weeks

    E-Print Network [OSTI]

    Grissino-Mayer, Henri D.

    competition, there may not be a banner competition, and vice versa. e. There may be no house decorating. f and encourages participation of sorority women in fraternity weeks as long as it is conducive to the Panhellenic

  11. EFFECTS OF ONE WEEK TRITIUM EXPOSURE ON EPDM ELASTOMER

    SciTech Connect (OSTI)

    Clark, E

    2007-06-07T23:59:59.000Z

    This report documents test results for the exposure of four formulations of EPDM (ethylene-propylene diene monomer) elastomer to tritium gas at one atmosphere for approximately one week and characterization of material property changes and changes to the exposure gas during exposure. All EPDM samples were provided by Los Alamos National Laboratory (LANL). Material properties that were characterized include mass, sample dimensions, appearance, flexibility, and dynamic mechanical properties. The glass transition temperature was determined by analysis of the dynamic mechanical property data per ASTM standards. No change of glass transition temperature due to the short tritium gas exposure was observed. Filled and unfilled formulations of Dupont{reg_sign} Nordel{trademark} 1440 had a slightly higher glass transition temperature than filled and unfilled formulations of Uniroyal{reg_sign} Royalene{reg_sign} 580H; filled formulations had the same glass transition as unfilled. The exposed samples appeared the same as before exposure--there was no evidence of discoloration, and no residue on stainless steel spacers contacting the samples during exposure was observed. The exposed samples remained flexible--all formulations passed a break test without failing. The unique properties of polymers make them ideal for certain components in gas handling systems. Specifically, the resiliency of elastomers is ideal for sealing surfaces, for example in valves. EPDM, initially developed in the 1960s, is a hydrocarbon polymer used extensively for sealing applications. EPDM is used for its excellent combination of properties including high/low-temperature resistance, radiation resistance, aging resistance, and good mechanical properties. This report summarizes initial work to characterize effects of tritium gas exposure on samples of four types of EPDM elastomer: graphite filled and unfilled formulations of Nordel{trademark} 1440 and Royalene{reg_sign} 580H.

  12. GRADUATE STUDENT COURSE ASSIGNMENTS Block 1 Discrete mathematics ---Babai Weeks 18

    E-Print Network [OSTI]

    May, J. Peter

    Products on spaces --- Angeltveit Weeks 5­8 Block 6 Number Theory (Apprentice) --- Babai Weeks 1*­4 Week 1, Guillou, Johnson, Lind Block 4b (Angeltveit) (weeks 5­8) Bohmann, Johnson, Lind Block 5 (Apprentice by block and by mentoring group Name (28) weeks Block Mentoring Alan Anders 8 3b, 3c Apprentice Sundeep

  13. Winter fuels report, week ending December 14, 1990. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1990-12-20T23:59:59.000Z

    This report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and state and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on a US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD) I, II, and III; natural gas supply and disposition and underground storage for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those states participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cities; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. 34 figs., 12 tabs.

  14. Winter fuels report, week ending December 7, 1990. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1990-12-13T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and state and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on a US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD) I, II, and III; natural gas supply and disposition and underground storage for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those states participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cities; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. 27 figs., 12 tabs.

  15. Winter fuels report, week ending November 30, 1990. [Contains Glossary

    SciTech Connect (OSTI)

    Not Available

    1990-12-06T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and state and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on a US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD) I, II, and III; natural gas supply and disposition and underground storage for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those states participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cites; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. 27 figs., 12 tabs.

  16. Monotonic Local Decay Estimates

    E-Print Network [OSTI]

    Avy Soffer

    2011-10-29T23:59:59.000Z

    For the Hamiltonian operator H = -{\\Delta}+V(x) of the Schr\\"odinger Equation with a repulsive potential, the problem of local decay is considered. It is analyzed by a direct method, based on a new, L^2 bounded, propagation observable. The resulting decay estimate, is in certain cases monotonic in time, with no "Quantum Corrections". This method is then applied to some examples in one and higher dimensions. In particular the case of the Wave Equation on a Schwarzschild manifold is redone: Local decay, stronger than the known ones are proved (minimal loss of angular derivatives and lower order of radial derivatives of initial data). The method developed here can be an alternative in some cases to the Morawetz type estimates, with L^2-multipliers replacing the first order operators. It provides an alternative to Mourre's method, by including thresholds and high energies.

  17. Asianettverkets nyhetsbrev -Uke 44, 2011 Weekly Newsletter from the Network for Asian Studies -Week 44, 2011

    E-Print Network [OSTI]

    Lřw, Erik

    Norway-Japan Seminar med tittelen "Renewables and Energy Security in Japan, East Asia and Norway". Tid og "Economic Growth and Social Development: People's Livelihood in China Mainland and Implications for the Greater China Area". Tid og sted: Torsdag 10. november kl. 10.15 ­ 11.30, SUM store seminarrom i 4. etasje

  18. Estimated Value of Service Reliability for Electric Utility Customers in the United States

    SciTech Connect (OSTI)

    Sullivan, M.J.; Mercurio, Matthew; Schellenberg, Josh

    2009-06-01T23:59:59.000Z

    Information on the value of reliable electricity service can be used to assess the economic efficiency of investments in generation, transmission and distribution systems, to strategically target investments to customer segments that receive the most benefit from system improvements, and to numerically quantify the risk associated with different operating, planning and investment strategies. This paper summarizes research designed to provide estimates of the value of service reliability for electricity customers in the US. These estimates were obtained by analyzing the results from 28 customer value of service reliability studies conducted by 10 major US electric utilities over the 16 year period from 1989 to 2005. Because these studies used nearly identical interruption cost estimation or willingness-to-pay/accept methods it was possible to integrate their results into a single meta-database describing the value of electric service reliability observed in all of them. Once the datasets from the various studies were combined, a two-part regression model was used to estimate customer damage functions that can be generally applied to calculate customer interruption costs per event by season, time of day, day of week, and geographical regions within the US for industrial, commercial, and residential customers. Estimated interruption costs for different types of customers and of different duration are provided. Finally, additional research and development designed to expand the usefulness of this powerful database and analysis are suggested.

  19. Building America Whole-House Solutions for New Homes: David Weekely...

    Energy Savers [EERE]

    David Weekely Homes, Houston, Texas Building America Whole-House Solutions for New Homes: David Weekely Homes, Houston, Texas Case study of David Weekley Homes, who worked with...

  20. CE 4990 -Construction Scheduling Week 1: Steel Frame Project

    E-Print Network [OSTI]

    Mukherjee, Amlan

    CE 4990 - Construction Scheduling Week 1: Steel Frame Project Fall 2011 January 13, 2012 Introduction You are a construction manager for a project to build a steel frame for an office building1 of 964 pre-fabricated structural steel members will be used in the construction. The standard bay size

  1. Energy and Society Week 6 Section Plan GSI Notes

    E-Print Network [OSTI]

    Kammen, Daniel M.

    standard deviations account for about 99 percent of the data. You can also use a Z-table in any stats book. Renewable energy sources like wind and solar PV are intermittent and, by themselves, reduce the reliability1 Energy and Society Week 6 Section Plan ­ GSI Notes AGENDA 1. Get feedback on section from

  2. Next Story > SC DMV lifting drivers' suspensions this week

    E-Print Network [OSTI]

    Duchowski, Andrew T.

    The State Next Story > SC DMV lifting drivers' suspensions this week Researcher: Zombie fads peak COLUMBIA, S.C. -- Zombies seem to be everywhere these days. In the popular TV series "The Walking Dead at the University of California at Davis. Lauro said she keeps track of zombie movies, TV shows and video games

  3. Evidence to the contrary: extreme weekly returns are underreactions

    E-Print Network [OSTI]

    Kelley, Eric Kyle

    2004-11-15T23:59:59.000Z

    contrarian profits are followed by a long run of momentum profits. In fact, these profits are strong enough to produce a significant momentum effect over the full year following portfolio formation. Thus, the market does not appear to view extreme weekly...

  4. MAE 124/ESYS 103 Discussion: Week 7 Transportation Alternatives

    E-Print Network [OSTI]

    Gille, Sarah T.

    MAE 124/ESYS 103 Discussion: Week 7 Transportation Alternatives 0. San Diego government routes. And today is Bike to Work Day. Let's take a Life Cycle Assessment approach to transportation planning? What steps do we need to pursue? 1. Why does SANDAG care about transportation? Why does UCSD

  5. Weekly Disambiguations of US Patent Grants and Applications Gabe Fierro

    E-Print Network [OSTI]

    Sekhon, Jasjeet S.

    Weekly Disambiguations of US Patent Grants and Applications Gabe Fierro Benjamin Balsmeie Guan patent data. The tools disambiguate inventor, assignee, law rm, and location names mentioned on each granted US patent since 1975 and all applications since 2001. While parts of this rst version are crude

  6. ATOC 3500/CHEM 3151 -Week 10 Urban Pollution

    E-Print Network [OSTI]

    Toohey, Darin W.

    ATOC 3500/CHEM 3151 - Week 10 Urban Pollution Back to the troposphere (Chapters 3, 8 and 11) (Where #12;Health and welfare effects of air pollution (p 206-211) · Pollution episodes, Cause and effect relationships · Human body · Health effects of regulated pollutants · Personal air pollution (smoking) · Risk

  7. Weekly Report Lin Yang 07/08/2012

    E-Print Network [OSTI]

    Rohs, Remo

    Weekly Report Lin Yang 07/08/2012 Updated figures for the ISMB poster Two figures were updated on my local machine instead of using data received from Tullius' lab. And Orchid2 prediction for P . This should be implementing the first stage described in the "20120701_Lin" report. The website will provide

  8. National propane safety week caps fifth anniversary of GAS Check

    SciTech Connect (OSTI)

    Prowler, S.

    1990-09-01T23:59:59.000Z

    This paper reports on National Propane Safety Week. The publicity encompassed everything from preventative maintenance to safe winter storage of cylinders. This campaign focused much of its attention on GAS (gas appliance system) Check, the propane industry's most well-known safety program.

  9. 2007 National Library Week Celebration Come together @ your library!

    E-Print Network [OSTI]

    Hanson, Stephen José

    2007 National Library Week Celebration Come together @ your library! Libraries of the World Showcase Co-sponsored by the Training and Learning Advisory Committee and the Libraries' Advisory Committee on Diversity New Brunswick: Tuesday, April 17, 2007, 1:30 ­ 4:30 pm, Pane Room, Alexander Library World Digital

  10. PHY 3003 SPRING 2014 Week of Feb 10

    E-Print Network [OSTI]

    Millis, Andrew

    PHY 3003 SPRING 2014 Week of Feb 10 Reading: Taylor, Chapter 4 Homework: Due in class Feb 17. (Numbers refer to problems in Classical Mechanics, J. R. Talyor, 2005 Edition before and after the collision. (3) Please solve Taylor 4.31 BUT instead of assuming that the pulley

  11. PHY 3003 SPRING 2014 Week of March 31

    E-Print Network [OSTI]

    Millis, Andrew

    in class April 7. (Numbers refer to problems in Classical Mechanics, J. R. Taylor, 2005 Edition). (1PHY 3003 SPRING 2014 Week of March 31 Reading: Taylor, Chapter 10 sections 10.1-10.5 Homework: Due) let the position vector be R . In the frame of reference with origin at the center of the earth

  12. National Chemistry Week Theme: "Candy: The Sweet Side of Chemistry"

    E-Print Network [OSTI]

    Stephens, Jacqueline

    National Chemistry Week Theme: "Candy: The Sweet Side of Chemistry" Super Science Saturday Saturday-on chemistry and science demonstrations! All students & families are welcome! Fun & educational for all ages! Sponsored by: American Chemical Society LSU Department of Chemistry LSU Athletic Department Free admission

  13. YEAR PALAEOMAGNETISM OPTION 5TH WEEK ENVIRONMENTAL MAGNETISM

    E-Print Network [OSTI]

    Niocaill, Conall Mac

    4TH YEAR ­ PALAEOMAGNETISM OPTION ­ 5TH WEEK ­ ENVIRONMENTAL MAGNETISM Questions to be investigated: 1. What is environmental magnetism? 2. What rock magnetic parameters are used in environmental magnetism? 3. What geologic parameters are contributing to the environmental magnetic signals? 4. How can we

  14. International weekly journal of science Molecular engineering of a

    E-Print Network [OSTI]

    Manstein, Dietmar J.

    International weekly journal of science Molecular engineering of a backwards-moving myosin motor metabolism: strategies for regulation in the heat shock response. Trends Genet. 6, 223­227 (1990). 2. Yost, H­1211 (2000). 10. Manley, J. M. & Tacke, R. SR proteins and splicing control. Genes Dev. 10, 1569­1579 (1996

  15. REU 2013: SCHEDULE FOR WEEKS FIVE AND SIX PRELIMINARY VERSION

    E-Print Network [OSTI]

    May, J. Peter

    and other topics. FIFTH WEEK: Date Apprentice Analysis Number theory Alg, Top, Etc Babai/Tulsiani Ciomaga Tulsiani. Apprentice. 9:30­12:00 M-F Adina Ciomaga, Jessica Lin. Analysis. 1:30­3:00 MWF Emerton

  16. Northern Michigan FruitNet 2005 Weekly Update

    E-Print Network [OSTI]

    Ethephon on Cherries Jim Nugent, District Horticulturist, MSUE Heat, drought stress, lack of uniform a little easier. Included in this report is an article written a couple weeks ago on ethephon that we used with ethephon due to limited tree canopy. So far, it appears that fruit removal force on sweet cherries is lower

  17. Princeton -Weekly Bulletin 06/14/04 -Grants fund research on underwater vehicles, high-tech materials June 14, 2004

    E-Print Network [OSTI]

    Aksay, Ilhan A.

    Princeton - Weekly Bulletin 06/14/04 - Grants fund research on underwater vehicles, high research on underwater vehicles, high- tech materials By Steven Schultz Princeton NJ -- University mobile unmanned networks of underwater sensors and to develop new high-tech materials. The Department

  18. ASIAN DEVELOPMENT ECONOMICS Winter 2014

    E-Print Network [OSTI]

    Carter, John

    and the Financial System Week 8 (02/27) Chapter 11 Globalization and the New Economy Week 9 (03/03) Chapter 13 economies to which the US economy is increasingly connected. The course will give students a flavor of political economy to examine Asia's economic development Prerequisites: ECON 271, ECON 272 or permission

  19. NSTX Weekly Report (Apr. 2, 2010) FY 2010 NSTX plasma operations

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    NSTX Weekly Report (Apr. 2, 2010) FY 2010 NSTX plasma operations Planned: Total - 15 run weeks experimental operations began this week with the completion of machine proposals (XMP's) to evaluate machine was used extensively this week, as well as neutral beam injection and machine's error field control. HHFW

  20. Winter fuels report: Week ending October 19, 1990

    SciTech Connect (OSTI)

    Not Available

    1990-10-25T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and state and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on the US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD) I, II, and III; natural gas supply and disposition and underground storage for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those states participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cities; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. The data will also be available electronically after 5:00 pm on Thursday during the heating season through the EIA Electronic Publication System (EPUB).

  1. Winter fuels report, week ending December 21, 1990. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1990-12-28T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on a US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD), I, II, and III; natural gas supply and disposition and underground storage for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cities; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. The data will also be available electronically after 5:00 p.m. on Thursday during the heating season through the EIA Electronic Publication System (EPUB). 34 figs., 12 tabs.

  2. Winter fuels report, week ending October 5, 1990

    SciTech Connect (OSTI)

    Not Available

    1990-10-11T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and state and local governments on the following topics: distillate fuel oil net production, imports and stocks for all PADD's and product supplied on a US level; propane net production, imports and stocks for Petroleum Administration for Defense Districts (PADD) I, II, and III; natural gas supply and disposition and underground storage, for the United States and consumption for all PADD's; residential and wholesale pricing data for propane and heating oil for those states participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the United States and selected cities; and US total heating degree-days by city. This report will be published weekly by the EIA starting the first week in October 1990 and will continue until the first week in April 1991. The data will also be electronically after 5:00 p.m. on Thursday during the heating season through the EIA Electronic Publication System (EPUB). See page ii for details. 12 tabs.

  3. Winter fuels report. Week ending: October 13, 1995

    SciTech Connect (OSTI)

    NONE

    1995-10-19T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: distillate fuel oil net production, imports and stocks on a US level and for all Petroleum Administration for Defense Districts (PADD) and product supplied on a US level; propane net production, imports and stocks on a US level and for PADD`s I, II, and III; natural gas supply and disposition and underground storage for the US and consumption for all PADD`s, as well as selected National average prices; residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the US and selected cities; and a 6--10-Day and 30-Day outlook for temperature and precipitation and US total heating degree-days by city. This report is published weekly by the EIA starting the second week in October 1995 and will continue until the second week in April 1996. The data will also be available electronically after 5:00 p.m. on Wednesday and Thursday during the heating season through the EIA Electronic Publication System (EPUB). 36 figs., 13 tabs.

  4. Cost Estimation Package

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

    1997-03-28T23:59:59.000Z

    This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

  5. Earth Science Week 2009, "Understanding Climate", Highlights and News Clippings

    SciTech Connect (OSTI)

    Robeck, Edward C. [American Geological Institute; Coulson, Doug [PS International

    2010-01-05T23:59:59.000Z

    The American Geological Institute (AGI) proposes to expand its influential Earth Science Week Program in 2009, with the support of the U.S. Department of Energy, to disseminate DOE's key messages, information, and resources on climate education and to include new program components. These components, ranging from online resources to live events and professional networks, would significantly increase the reach and impact of AGI's already successful geoscience education and public awareness effort in the United States and abroad in 2009, when the campaign's theme will be "Understanding Climate."

  6. Photo of the Week: 2013 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM5Parabolic TroughPhoto Gallery: Energy Literacy in 2013Week3

  7. Photo of the Week: 2014 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM5Parabolic TroughPhoto Gallery: Energy Literacy in 2013Week34

  8. This Week In Petroleum Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a(STEO)U.S.6, 20146, 2002 (Next4,3,22,6,8 (NextThis Week

  9. This Week In Petroleum Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a(STEO)U.S.6, 20146, 2002 (Next4,3,22,6,8 (NextThis Week2,

  10. This Week In Petroleum Summary Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables133,477the most recent This Week

  11. Weekly Weather and Crop Bulletin | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlin BaxinUmweltVillageGraph HomeWaranaWaterEnergyWeekly Weather and Crop

  12. This Week In Petroleum Summary Printer-Friendly Version

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly70516, 2011 Next6,1,,26,11,13,7,22,

  13. Geothermal Electricity Technology Evaluation Model (GETEM) Development...

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

    Electricity Technology Evaluation Model (GETEM) Development Geothermal Electricity Technology Evaluation Model (GETEM) Development Project objective: Provide a tool for estimating...

  14. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    NONE

    1996-10-01T23:59:59.000Z

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  15. Construction Industry Week, September 23-27, 2013 MORNING SESSION AFTERNOON SESSION EVENING SESSION

    E-Print Network [OSTI]

    Piao, Daqing

    Construction Industry Week, September 23-27, 2013 MORNING SESSION AFTERNOON SESSION EVENING SESSION Subcontractor ............................................ Lithko Friday, September 27, 2013 -- CONSTRUCTION LAB;Construction Industry Week Purpose and Goals To educate and enlighten CMT students to industry standards, flow

  16. Photo of the Week: The First Energy-Efficient Dual-Paned Windows...

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

    Photo of the Week: The First Energy-Efficient Dual-Paned Windows Photo of the Week: The First Energy-Efficient Dual-Paned Windows December 5, 2013 - 12:53pm Addthis Researchers at...

  17. Photo of the Week: What You Needed to Contain 100 Million Degree...

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

    Photo of the Week: What You Needed to Contain 100 Million Degree Plasma for 100 Millionths of a Second... in 1974 Photo of the Week: What You Needed to Contain 100 Million Degree...

  18. Kevin Christiansen "This week I got started on different project than I've

    E-Print Network [OSTI]

    Zanibbi, Richard

    solar panels from broken calculator panels), and other projects relating on different project than I've been working on in previous weeks. I began." Zach Kruchoski "This week I organized and typed up a paper regarding running

  19. Bayesian surface estimation for white light interferometry

    E-Print Network [OSTI]

    Hamprecht, Fred A.

    .hamprecht@iwr.uni-heidelberg.de). 1 #12;The development of white light interferometers for industry was first guidedBayesian surface estimation for white light interferometry Michael Hissmann Fred A. Hamprecht 2004/07/05 Abstract In conventional white light interferometry (WLI) surface estimation, data acquisition is followed

  20. Types of Costs Types of Cost Estimates

    E-Print Network [OSTI]

    Boisvert, Jeff

    05-1 · Types of Costs · Types of Cost Estimates · Methods to estimate capital costs MIN E 408-Revenue Relationships · Capital Costs (or first cost or capital investment): ­ Expenditures made to acquire or develop capital assets ­ Three main classes of capital costs: 1. Depreciable Investment: · Investment allocated

  1. REU 2013: SCHEDULE FOR WEEKS THREE AND FOUR All talks in E133 or R251

    E-Print Network [OSTI]

    May, J. Peter

    REU 2013: SCHEDULE FOR WEEKS THREE AND FOUR All talks in E133 or R251 THIRD WEEK: Date Apprentice:30­4:30 1:30­2:30 FOURTH WEEK: Date Apprentice Probability Number Theory Geometry Topology Babai WEEK: Madhur Tulsiani. Apprentice. 10:00­12:00 M-Th Antonio Auffinger. Probability. 3:30­4:30 MWF

  2. Types of Cost Estimates

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

    1997-03-28T23:59:59.000Z

    The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

  3. Systems Engineering Cost Estimation

    E-Print Network [OSTI]

    Bryson, Joanna J.

    on project, human capital impact. 7 How to estimate Cost? Difficult to know what we are building early on1 Systems Engineering Lecture 3 Cost Estimation Dr. Joanna Bryson Dr. Leon Watts University of Bath: Contrast approaches for estimating software project cost, and identify the main sources of cost

  4. Syllabus for EK 335: Introduction to Environmnetal Engineering Science 4 hours/week

    E-Print Network [OSTI]

    Chemistry 3. Growth Models 1 week Resource Consumption Population Growth Economic Growth 4. Risk Assessment in the stratosphere 8. Solid Waste Management and Resource Recovery 2 weeks Life-Cycle Assessment Source Reduction 1.5 weeks Hazard Identification Dose-Response Assessment Expposure Assessment Risk Characterization

  5. Trinity College Green Week 2012 Energy Competition Win a Domestic Energy Meter

    E-Print Network [OSTI]

    O'Mahony, Donal E.

    Trinity College Green Week 2012 Energy Competition ­ Win a Domestic Energy Meter As part of College Green Week the "e3" programme and Director of Buildings Office is promoting an energy related would you like to win a domestic whole house energy meter as part of Trinity College Green Week 2012

  6. Motor Modeling and Position Control Lab Week 3: Closed Loop Control

    E-Print Network [OSTI]

    Krovi, Venkat

    Motor Modeling and Position Control Lab Week 3: Closed Loop Control 1. Review In the first week of motor modeling lab, a mathematical model of a DC motor from first principles was derived to obtain specifically for this motor model. In the second week, a physical DC motor (Quanser SRV-02) was used for open

  7. Final report on Weeks Island Monitoring Phase : 1999 through 2004.

    SciTech Connect (OSTI)

    Ehgartner, Brian L.; Munson, Darrell Eugene

    2005-05-01T23:59:59.000Z

    This Final Report on the Monitoring Phase of the former Weeks Island Strategic Petroleum Reserve crude oil storage facility details the results of five years of monitoring of various surface accessible quantities at the decommissioned facility. The Weeks Island mine was authorized by the State of Louisiana as a Strategic Petroleum Reserve oil storage facility from 1979 until decommissioning of the facility in 1999. Discovery of a sinkhole over the facility in 1992 with freshwater inflow to the facility threatened the integrity of the oil storage and led to the decision to remove the oil, fill the chambers with brine, and decommission the facility. Thereafter, a monitoring phase, by agreement between the Department of Energy and the State, addressed facility stability and environmental concerns. Monitoring of the surface ground water and the brine of the underground chambers from the East Fill Hole produced no evidence of hydrocarbon contamination, which suggests that any unrecovered oil remaining in the underground chambers has been contained. Ever diminishing progression of the initial major sinkhole, and a subsequent minor sinkhole, with time was verification of the response of sinkholes to filling of the facility with brine. Brine filling of the facility ostensively eliminates any further growth or new formation from freshwater inflow. Continued monitoring of sinkhole response, together with continued surface surveillance for environmental problems, confirmed the intended results of brine pressurization. Surface subsidence measurements over the mine continued throughout the monitoring phase. And finally, the outward flow of brine was monitored as a measure of the creep closure of the mine chambers. Results of each of these monitoring activities are presented, with their correlation toward assuring the stability and environmental security of the decommissioned facility. The results suggest that the decommissioning was successful and no contamination of the surface environment by crude oil has been found.

  8. Language model parameter estimation using user transcriptions

    E-Print Network [OSTI]

    Hsu, Bo-June

    In limited data domains, many effective language modeling techniques construct models with parameters to be estimated on an in-domain development set. However, in some domains, no such data exist beyond the unlabeled test ...

  9. ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS

    E-Print Network [OSTI]

    ESTIMATES OF ADDITIONAL ACHIEVABLE ENERGY SAVINGS Supplement to California Energy. There are also likely additional savings from initiatives that are neither finalized nor funded are referred to as additional achievable energy efficiency (AAEE) impacts. Staff developed five AAEE

  10. Updating MIT's cost estimation model for shipbuilding

    E-Print Network [OSTI]

    Smith, Matthew B., Lieutenant, junior grade

    2008-01-01T23:59:59.000Z

    This thesis project will update the MIT ship cost estimation model by combining the two existing models (the Basic Military Training School (BMTS) Cost Model and the MIT Math Model) in order to develop a program that can ...

  11. Global estimation of precipitation using opaque microwave bands

    E-Print Network [OSTI]

    Chen, Frederick Wey-Min, 1975-

    2004-01-01T23:59:59.000Z

    This thesis describes the use of opaque microwave bands for global estimation of precipitation rate. An algorithm was developed for estimating instantaneous precipitation rate for the Advanced Microwave Sounding Unit (AMSU) ...

  12. Library Snapshot Week: Sunday, April 17-Saturday April 23, 2011 During Library Snapshot week, all library employees, including student employees, were asked to record

    E-Print Network [OSTI]

    Barrash, Warren

    Library Snapshot Week: Sunday, April 17-Saturday April 23, 2011 During Library Snapshot week, all library employees, including student employees, were asked to record every interaction with the public. Also collected were other statistics. These numbers paint a more complete picture of the Library

  13. Essays in development economics

    E-Print Network [OSTI]

    Keniston, Daniel Eben

    2011-01-01T23:59:59.000Z

    Chapter 1 looks at the empirical estimation of the welfare impacts of bargaining. Bargaining for retail goods is common in developing countries, but rare in the developed world. The welfare implications of this difference ...

  14. Winter fuels report. Week ending: December 31, 1993

    SciTech Connect (OSTI)

    Not Available

    1994-01-06T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: Distillate fuel oil net production, imports and stocks on a U.S. level and for all Petroleum Administration for Defense Districts (PADD) and product supplied on a U.S. level; propane net production, imports and stocks on a U.S. level and for PADD`s I,II, and III; natural gas supply and disposition and underground storage for the U.S. and consumption for all PADD`s as well as selected National average prices; residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the U.S. and selected cities; and a 6-10 day, 30 day,and 90 day outlook for temperature and precipitation and U.S. total heating degree-days by city. This report is for the week ending December 31, 1993.

  15. Winter fuels report, week ending: March 25, 1994

    SciTech Connect (OSTI)

    Not Available

    1994-03-31T23:59:59.000Z

    The Winter Fuels Report is intended to provide concise, timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: Distillate fuel oil net production, imports and stocks on a US level and for all Petroleum Administration for Defense Districts (PADD) and product supplied on a US level; Propane net production, imports and stocks on a US level and for PADD`s I, II, and III; Natural gas supply and disposition and underground storage for the US and consumption for all PADD`s; as well as selected National average prices; Residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; Crude oil and petroleum price comparisons for the US and selected cities; and A 6-10 Day, 30-Day, and 90-Day outlook for temperature and precipitation and US total heating degree-days by city. The distillate fuel oil and propane supply data are collected and published weekly.

  16. Winter fuels report, week ending February 24, 1995

    SciTech Connect (OSTI)

    NONE

    1995-03-02T23:59:59.000Z

    The Winter Fuels Report for the week ending February 24, 1995 is intended to provide concise timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: Distillate fuel oil net production, imports and stocks on a US level and for all Petroleum Administration for Defense Districts (PADD) and product supplies on a US level; propane net production, imports and stocks on a US level and for PADD`s I, II, and III; natural gas supply and disposition and underground storage for the US and consumption for all PADD`s; as well as selected National average prices; residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the US and selected cities; and a 6--10 Day and 30-Day outlook for temperature and precipitation and US total heating degree-days by city.

  17. Winter fuels report, week ending March 10, 1995

    SciTech Connect (OSTI)

    NONE

    1995-03-16T23:59:59.000Z

    The Winter Fuels Report for the week ending March 10, 1995 is intended to provide concise timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: Distillate fuel oil net production, imports and stocks on a US level and for all Petroleum Administration for Defense Districts (PADD) and product supplies on a US level; propane net production, imports and stocks on a US level and for PADD`s I, II, and III; natural gas supply and disposition and underground storage for the US and consumption for all PADD`s; as well as selected National average prices; residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the US and selected cities; and a 6--10 Day and 30-Day outlook for temperature and precipitation and US total heating degree-days by city.

  18. Winter fuels report, week ending March 24, 1995

    SciTech Connect (OSTI)

    NONE

    1995-03-30T23:59:59.000Z

    The Winter Fuels Report for the week ending March 24, 1995 is intended to provide concise timely information to the industry, the press, policymakers, consumers, analysts, and State and local governments on the following topics: Distillate fuel oil net production, imports and stocks on a US level and for all Petroleum Administration for Defense Districts (PADD) and product supplies on a US level; propane net production, imports and stocks on a US level and for PADD`s I, II, and III; natural gas supply and disposition and underground storage for the US and consumption for all PADD`s; as well as selected National average prices; residential and wholesale pricing data for heating oil and propane for those States participating in the joint Energy Information Administration (EIA)/State Heating Oil and Propane Program; crude oil and petroleum price comparisons for the US and selected cities; and a 6--10 Day and 30-Day outlook for temperature and precipitation and US total heating degree-days by city.

  19. Weeks Island gravity stable CO2 pilot: Final report

    SciTech Connect (OSTI)

    Johnston, J.R.; Perry, G.E.

    1989-01-01T23:59:59.000Z

    The Weeks Island ''S'' sand Reservoir B (''S'' RB) gravity-stable CO2 field test was completed during February 1988. Injection started in October 1978 and production began in January 1981 in this high-permeability, steeply-dipping sandstone reservoir. About 264,000 barrels of oil or 65 percent of the starting volume has been recovered. A 24-percent pore-volume slug of CO2 mixed with about six mole percent of natural gas (mostly methane) was injected at the start of the pilot. Since 1983, produced CO2 plus hydrocarbon gases have been recycled. CO2 usage statistics are 9.34 MCF/BO with recycle and 3.24 MCF/BO based on purchased CO2. Previous annual reports document the pilot design, implementation, and early results for the 1977 to June 1981 time period. This report is a review of early pilot history and a more detailed account of the post June 1981 results and overall interpretation. A reservoir-simulation history match of pilot performance plus core and log data from a 1983 swept-zone evaluation well are described in this report. A brief description of the production facility and an account of the corrosion control program are also included. 11 refs., 34 figs.

  20. Photo of the Week: Bright Ideas | Department of Energy

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

    two of history's most important energy-related engineers: Thomas Edison and Nikola Tesla. Edison and Tesla's developments in electric power generation and distribution made...

  1. Photo of the Week: The Sixth Zero Power Reactor | Department...

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

    two of history's most important energy-related engineers: Thomas Edison and Nikola Tesla. Edison and Tesla's developments in electric power generation and distribution made...

  2. Impact of price specials on estimates of retail meat prices

    E-Print Network [OSTI]

    Degner, Robert L

    1970-01-01T23:59:59.000Z

    ighting Technique V. V. SUM'JARA' AND CONCLUSIONS. 46 55 o3 69 Ti. me-of-the-Week to Collect Prices. Bias Reduced by Regression. Concluding Statement. REFEBENCES. APPENDIX. 89 90 95 100 115 vill LIST OF TABLES Table Page 1-1. Relative...' or individual items in Dallas and Houston. 101 3-1. Simulated BLS price estimates of 46 meat items based upon different sampling rates and weighted average price, or all data, July 1968. . . . . . . . . . . . 107 "Error" of price estimates; differences...

  3. GRADUATE STUDENT COURSE ASSIGNMENTS Block 1 Discrete Mathematics ---Babai Weeks 18

    E-Print Network [OSTI]

    May, J. Peter

    --- Bader Weeks 7­8 Block 5 K-theory --- May Weeks 1­2, 5­8 Block 6 Number Theory (Apprentice) --- Abert (May) (weeks 1­2, 5­8) Abouzaid, Anders (5-8), Fowler (1-2, 5-8), Kamgarpour, Smith Block 6 (Apprentice Anders 6, 5 all 8 Apprentice Mohammed Abouzaid 5 1, 5­7 (Organizer) Elizabeth Beazley 1 all 8 (Babai) Ian

  4. Accuracy of Contemporary Parametric Software Estimation Models: A Comparative Analysis

    E-Print Network [OSTI]

    Tomkins, Andrew

    with delays and being costly and error- prone. Inaccurate estimation of project resources is considered as one the costs, schedule and the resources for IT projects. Software estimation is the process of predicting the effort, duration and cost required to develop a software system [2]. Estimators often rely on one or more

  5. 2014 WEEKLY BULLETIN DEPARTMENT OF CHEMISTRY, NORTHWESTERN UNIVERSITY

    E-Print Network [OSTI]

    Grzybowski, Bartosz A.

    to collaborate with talented and dedicated colleagues while developing and expanding your career. We currently are required. For more information and to apply go to: https://merck.taleo.net

  6. 2014 WEEKLY BULLETIN DEPARTMENT OF CHEMISTRY, NORTHWESTERN UNIVERSITY

    E-Print Network [OSTI]

    Grzybowski, Bartosz A.

    and dedicated colleagues while developing and expanding your career. We currently have an exciting opportunity are required. For more information and to apply go to: https://merck.taleo.net

  7. Weekly Media Summary from the Media Relations team 29 March 4 April 2014 Monday 31 March

    E-Print Network [OSTI]

    Aickelin, Uwe

    changing. The Centre for Fine Print Research was featured on the `Gadget Show' this week looking at 3D printing. #12;#12;

  8. A Phase 2 Trial of Once-Weekly Hypofractionated Breast Irradiation: First Report of Acute Toxicity, Feasibility, and Patient Satisfaction

    SciTech Connect (OSTI)

    Dragun, Anthony E., E-mail: aedrag01@louisville.edu [Department of Radiation Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States); Quillo, Amy R. [Department of Surgical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States)] [Department of Surgical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States); Riley, Elizabeth C. [Department of Medical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States)] [Department of Medical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States); Roberts, Teresa L.; Hunter, Allison M. [Department of Radiation Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States)] [Department of Radiation Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States); Rai, Shesh N. [Department of Biostatistics and Epidemiology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States)] [Department of Biostatistics and Epidemiology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States); Callender, Glenda G. [Department of Surgical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States)] [Department of Surgical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States); Jain, Dharamvir [Department of Medical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States)] [Department of Medical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States); McMasters, Kelly M. [Department of Surgical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States)] [Department of Surgical Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States); Spanos, William J. [Department of Radiation Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States)] [Department of Radiation Oncology, University of Louisville School of Medicine, James Graham Brown Cancer Center, Louisville, Kentucky (United States)

    2013-03-01T23:59:59.000Z

    Purpose: To report on early results of a single-institution phase 2 trial of a 5-fraction, once-weekly radiation therapy regimen for patients undergoing breast-conserving surgery (BCS). Methods and Materials: Patients who underwent BCS for American Joint Committee on Cancer stage 0, I, or II breast cancer with negative surgical margins were eligible to receive whole breast radiation therapy to a dose of 30 Gy in 5 weekly fractions of 6 Gy with or without an additional boost. Elective nodal irradiation was not permitted. There were no restrictions on breast size or the use of cytotoxic chemotherapy for otherwise eligible patients. Patients were assessed at baseline, treatment completion, and at first posttreatment follow-up to assess acute toxicity (Common Terminology Criteria for Adverse Events, version 3.0) and quality of life (European Organization for Research and Treatment of Cancer QLQ-BR23). Results: Between January and September 2011, 42 eligible patients underwent weekly hypofractionated breast irradiation immediately following BCS (69.0%) or at the conclusion of cytotoxic chemotherapy (31.0%). The rates of grade ?2 radiation-induced dermatitis, pain, fatigue, and breast edema were 19.0%, 11.9%, 9.5%, and 2.4%, respectively. Only 1 grade 3 toxicity—pain requiring a course of narcotic analgesics—was observed. One patient developed a superficial cellulitis (grade 2), which resolved with the use of oral antibiotics. Patient-reported moderate-to-major breast symptoms (pain, swelling, and skin problems), all decreased from baseline through 1 month, whereas breast sensitivity remained stable over the study period. Conclusions: The tolerance of weekly hypofractionated breast irradiation compares well with recent reports of daily hypofractionated whole-breast irradiation schedules. The regimen appears feasible and cost-effective. Additional follow-up with continued accrual is needed to assess late toxicity, cosmesis, and disease-specific outcomes.

  9. On Quantum Channel Estimation with Minimal Resources

    E-Print Network [OSTI]

    M. Zorzi; F. Ticozzi; A. Ferrante

    2011-06-10T23:59:59.000Z

    We determine the minimal experimental resources that ensure a unique solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically admissible solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

  10. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06T23:59:59.000Z

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  11. Guidelines for Estimating Unmetered Industrial Water Use

    SciTech Connect (OSTI)

    Boyd, Brian K.

    2010-08-01T23:59:59.000Z

    The document provides a methodology to estimate unmetered industrial water use for evaporative cooling systems, steam generating boiler systems, batch process applications, and wash systems. For each category standard mathematical relationships are summarized and provided in a single resource to assist Federal agencies in developing an initial estimate of their industrial water use. The approach incorporates industry norms, general rules of thumb, and industry survey information to provide methodologies for each section.

  12. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    NONE

    1995-07-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

  13. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

  14. Parallel State Estimation Assessment with Practical Data

    SciTech Connect (OSTI)

    Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu

    2014-10-31T23:59:59.000Z

    This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.

  15. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

  16. Systematic Approach for Decommissioning Planning and Estimating

    SciTech Connect (OSTI)

    Dam, A. S.

    2002-02-26T23:59:59.000Z

    Nuclear facility decommissioning, satisfactorily completed at the lowest cost, relies on a systematic approach to the planning, estimating, and documenting the work. High quality information is needed to properly perform the planning and estimating. A systematic approach to collecting and maintaining the needed information is recommended using a knowledgebase system for information management. A systematic approach is also recommended to develop the decommissioning plan, cost estimate and schedule. A probabilistic project cost and schedule risk analysis is included as part of the planning process. The entire effort is performed by a experienced team of decommissioning planners, cost estimators, schedulers, and facility knowledgeable owner representatives. The plant data, work plans, cost and schedule are entered into a knowledgebase. This systematic approach has been used successfully for decommissioning planning and cost estimating for a commercial nuclear power plant. Elements of this approach have been used for numerous cost estimates and estimate reviews. The plan and estimate in the knowledgebase should be a living document, updated periodically, to support decommissioning fund provisioning, with the plan ready for use when the need arises.

  17. Cost Estimating Guide

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

    2011-05-09T23:59:59.000Z

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

  18. Operated device estimation framework

    E-Print Network [OSTI]

    Rengarajan, Janarthanan

    2009-05-15T23:59:59.000Z

    Protective device estimation is a challenging task because there are numerous protective devices present in a typical distribution system. Among various protective devices, auto-reclosers and fuses are the main overcurrent protection on distribution...

  19. EXPLORATION Actual Estimate

    E-Print Network [OSTI]

    FY 2015 FY 2016 FY 2017 FY 2013 President's Budget Request 3,821.2 3,712.8 3,932.8 4,076.5 4,076.5 4 Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014 FY 2015 FY 2016 FY 2017 FY 2013EXPLORATION EXP-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014

  20. PREMUR 2007 Seminar Week 1 Computer Laboratory Exercises

    E-Print Network [OSTI]

    Little, John B.

    to annotate your work. Saving and Reloading your Mathematica Notebooks When you begin working on a worksheet, you will usually want to save your work every once in a while in case a computer problem develops directly by saving to your network drive. following these directions: 1) In Mathematica, select the SAVE

  1. The University of Alicante devotes a week to robotics and automation Alicante, 5th September, 2013

    E-Print Network [OSTI]

    Escolano, Francisco

    The University of Alicante devotes a week to robotics and automation Alicante, 5th September, 2013 The University of Alicante will host a set of activities grouped within the Week of the Automation and Robotics contributions, as well as seminars and demonstrations. Among other things, they will present automation

  2. A unique program for horse business owners Tuesdays, February 5 -March 19 (seven weeks)

    E-Print Network [OSTI]

    Goodman, Robert M.

    A unique program for horse business owners Tuesdays, February 5 - March 19 (seven weeks) 6:00pm ­ 9 budgeting plan by the end of the seven-week course. The course is offered by Dr. Carey Williams, Equine@njaes.rutgers.edu, 848-932-3229 $70.00 per person Dinner and Companion workbook included. Equine Business Planning Course

  3. Product Refrigerator Freezer Fresh, in shell 4 to 5 weeks Don't freeze

    E-Print Network [OSTI]

    Burke, Peter

    with USDA seal, unopened 2 weeks Don't freeze well Raw Hamburger, Ground & Stew Meat Hamburger & stew meats just before using. · If freezing meat and poultry in its original package longer than 2 monthsProduct Refrigerator Freezer Eggs Fresh, in shell 4 to 5 weeks Don't freeze Raw yolks, whites 2

  4. NSTX Weekly Report (May 7, 2010) FY 2010 NSTX plasma operations

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    at that bay. Also this week, tests of a prototype hot air-based heating system for one of the four Liquid-air heating of an LLD plate. · LLD Diagnostics - The fabrication of the fiber holder for the divertor week. The last of the remote mirror control mechanisms for the High-k turbulence diagnostic has been

  5. University of Calgary -Schulich School of Engineering Project 3 -Week Lookahead (Feb.17,11)

    E-Print Network [OSTI]

    Garousi, Vahid

    week)+2D install L 61 B- Demo hot water tank (done) E 62 B- Painting and refinishing millwork (CR186 18 A200Z- Ceiling edge trim (done) M 19 A200Z- Install water fountain/water bottle filler afew weeks stair - lights (done) 32 Level 4 exit stair - ceiling tile (done) 33 ENA 1Z- Remove heater in ceiling

  6. REU 2006: SCHEDULE FOR WEEKS THREE AND FOUR Morning talks (apprentice): Ryerson 251

    E-Print Network [OSTI]

    May, J. Peter

    REU 2006: SCHEDULE FOR WEEKS THREE AND FOUR Morning talks (apprentice): Ryerson 251* * | | | | | | Apprentice |Problems | Discrete | | * * | | | | | | Ryerson 251 |R251/E in summary form: THIRD WEEK: YSP: 9:30-2:30 WThF Abert/Babai (Apprentice): 9:30-12:00 WThF Abert

  7. REU 2009: SCHEDULE FOR WEEKS THREE AND FOUR Apprentice talks are in R251

    E-Print Network [OSTI]

    May, J. Peter

    REU 2009: SCHEDULE FOR WEEKS THREE AND FOUR Apprentice talks are in R251 Afternoon talks are in E206, R251, or E133 THIRD WEEK: Date YSP Abert Abert Farb Nori May/Anno Fiore Apprentice Groups Nori May/Anno Apprentice Groups Geometry Discrete Series Alg/Top R251 E206 E206 E206 R251 E133 Mon

  8. Survey of Job Openings in the 7 Counties of Southeastern Wisconsin: Week of May 25, 2009

    E-Print Network [OSTI]

    Saldin, Dilano

    Survey of Job Openings in the 7 Counties of Southeastern Wisconsin: Week of May 25, 2009 Prepared by the Department of Labor Employment and Training WIRED grant." #12;Job Openings Survey for Southeastern Wisconsin and Training Institute 1 Survey of Job Openings in the 7 Counties of Southeastern Wisconsin: Week of May 25

  9. Web integrated cost estimation system in architecture education

    E-Print Network [OSTI]

    Darapureddy, K.S. Kiran

    2001-01-01T23:59:59.000Z

    these objectives a Web-based cost estimation system has been developed. This software has been developed using Active Server Pages (ASP), Microsoft Access database, Structured Query Language (SQL) and the Internet technology. In order to find students' inclination...

  10. Cost estimate guidelines for advanced nuclear power technologies

    SciTech Connect (OSTI)

    Delene, J.G.; Hudson, C.R. II.

    1990-03-01T23:59:59.000Z

    To make comparative assessments of competing technologies, consistent ground rules must be applied when developing cost estimates. This document provides a uniform set of assumptions, ground rules, and requirements that can be used in developing cost estimates for advanced nuclear power technologies. 10 refs., 8 figs., 32 tabs.

  11. Twice-Weekly Hypofractionated Intensity-Modulated Radiotherapy for Localized Prostate Cancer With Low-Risk Nodal Involvement: Toxicity and Outcome From a Dose Escalation Pilot Study

    SciTech Connect (OSTI)

    Zilli, Thomas, E-mail: thomaszilli@inwind.it [Service de Radio-oncologie, Hopitaux Universitaires de Geneve, Geneva (Switzerland); Jorcano, Sandra [Servei de Radio-oncologia, Institut Oncologic Teknon, Barcelona (Spain); Rouzaud, Michel; Dipasquale, Giovanna; Nouet, Philippe [Service de Radio-oncologie, Hopitaux Universitaires de Geneve, Geneva (Switzerland); Toscas, Jose Ignacio [Servei de Radio-oncologia, Institut Oncologic Teknon, Barcelona (Spain); Casanova, Nathalie; Wang, Hui [Service de Radio-oncologie, Hopitaux Universitaires de Geneve, Geneva (Switzerland); Escude, Lluis; Molla, Meritxell; Linero, Dolors [Servei de Radio-oncologia, Institut Oncologic Teknon, Barcelona (Spain); Weber, Damien C. [Service de Radio-oncologie, Hopitaux Universitaires de Geneve, Geneva (Switzerland); Miralbell, Raymond [Service de Radio-oncologie, Hopitaux Universitaires de Geneve, Geneva (Switzerland); Servei de Radio-oncologia, Institut Oncologic Teknon, Barcelona (Spain)

    2011-10-01T23:59:59.000Z

    Purpose: To evaluate the toxicity and preliminary outcome of patients with localized prostate cancer treated with twice-weekly hypofractionated intensity-modulated radiotherapy (IMRT). Methods and Materials: Between 2003 and 2006, 82 prostate cancer patients with a nodal involvement risk {<=}20% (Roach index) have been treated to the prostate with or without seminal vesicles with 56 Gy (4 Gy/fraction twice weekly) and an overall treatment time of 6.5 weeks. Acute and late genitourinary (GU) and gastrointestinal (GI) toxicities were scored according to the Radiation Therapy Oncology Group (RTOG) grading system. Median follow-up was 48 months (range, 9-67 months). Results: All patients completed the treatment without interruptions. No patient presented with Grade {>=}3 acute GU or GI toxicity. Of the patients, 4% presented with Grade 2 GU or GI persistent acute toxicity 6 weeks after treatment completion. The estimated 4-year probability of Grade {>=}2 late GU and GI toxicity-free survival were 94.2% {+-} 2.9% and 96.1% {+-} 2.2%, respectively. One patient presented with Grade 3 GI and another patient with Grade 4 GU late toxicity, which were transitory in both cases. The 4-year actuarial biochemical relapse-free survival was 91.3% {+-} 5.9%, 76.4% {+-} 8.8%, and 77.5% {+-} 8.9% for low-, intermediate-, and high-risk groups, respectively. Conclusions: In patients with localized prostate cancer, acute and late toxicity were minimal after dose-escalation administering twice-weekly 4 Gy to a total dose of 56 Gy, with IMRT. Further prospective trials are warranted to further assess the best fractionation schemes for these patients.

  12. Reduced Measurement-space Dynamic State Estimation (ReMeDySE) for Power Systems

    SciTech Connect (OSTI)

    Zhang, Jinghe; Welch, Greg; Bishop, Gary; Huang, Zhenyu

    2011-06-19T23:59:59.000Z

    Abstract- Applying Kalman filtering techniques to dynamic state estimation is a developing research area in modern power systems.

  13. MELE: Maximum Entropy Leuven Estimators

    E-Print Network [OSTI]

    Paris, Quirino

    2001-01-01T23:59:59.000Z

    of the Generalized Maximum Entropy Estimator of the Generaland Douglas Miller, Maximum Entropy Econometrics, Wiley andCalifornia Davis MELE: Maximum Entropy Leuven Estimators by

  14. Thermodynamic estimation: Ionic materials

    SciTech Connect (OSTI)

    Glasser, Leslie, E-mail: l.glasser@curtin.edu.au

    2013-10-15T23:59:59.000Z

    Thermodynamics establishes equilibrium relations among thermodynamic parameters (“properties”) and delineates the effects of variation of the thermodynamic functions (typically temperature and pressure) on those parameters. However, classical thermodynamics does not provide values for the necessary thermodynamic properties, which must be established by extra-thermodynamic means such as experiment, theoretical calculation, or empirical estimation. While many values may be found in the numerous collected tables in the literature, these are necessarily incomplete because either the experimental measurements have not been made or the materials may be hypothetical. The current paper presents a number of simple and relible estimation methods for thermodynamic properties, principally for ionic materials. The results may also be used as a check for obvious errors in published values. The estimation methods described are typically based on addition of properties of individual ions, or sums of properties of neutral ion groups (such as “double” salts, in the Simple Salt Approximation), or based upon correlations such as with formula unit volumes (Volume-Based Thermodynamics). - Graphical abstract: Thermodynamic properties of ionic materials may be readily estimated by summation of the properties of individual ions, by summation of the properties of ‘double salts’, and by correlation with formula volume. Such estimates may fill gaps in the literature, and may also be used as checks of published values. This simplicity arises from exploitation of the fact that repulsive energy terms are of short range and very similar across materials, while coulombic interactions provide a very large component of the attractive energy in ionic systems. Display Omitted - Highlights: • Estimation methods for thermodynamic properties of ionic materials are introduced. • Methods are based on summation of single ions, multiple salts, and correlations. • Heat capacity, entropy, lattice energy, enthalpy, Gibbs energy values are available.

  15. Building unbiased estimators from non-gaussian likelihoods with application to shear estimation

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

    Madhavacheril, Mathew S. [Stony Brook Univ., NY (United States); Slosar, Anze [Brookhaven National Lab. (BNL), Upton, NY (United States); McDonald, Patrick [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sehgal, Neelima [Stony Brook Univ., NY (United States)

    2015-01-01T23:59:59.000Z

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.

  16. Building unbiased estimators from non-gaussian likelihoods with application to shear estimation

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

    Madhavacheril, Mathew S.; Slosar, Anze; McDonald, Patrick; Sehgal, Neelima

    2015-01-01T23:59:59.000Z

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the workmore »of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.« less

  17. Estimating Power System Dynamic States Using Extended Kalman Filter

    SciTech Connect (OSTI)

    Huang, Zhenyu; Schneider, Kevin P.; Nieplocha, Jaroslaw; Zhou, Ning

    2014-10-31T23:59:59.000Z

    Abstract—The state estimation tools which are currently deployed in power system control rooms are based on a steady state assumption. As a result, the suite of operational tools that rely on state estimation results as inputs do not have dynamic information available and their accuracy is compromised. This paper investigates the application of Extended Kalman Filtering techniques for estimating dynamic states in the state estimation process. The new formulated “dynamic state estimation” includes true system dynamics reflected in differential equations, not like previously proposed “dynamic state estimation” which only considers the time-variant snapshots based on steady state modeling. This new dynamic state estimation using Extended Kalman Filter has been successfully tested on a multi-machine system. Sensitivity studies with respect to noise levels, sampling rates, model errors, and parameter errors are presented as well to illustrate the robust performance of the developed dynamic state estimation process.

  18. Estimating Systems Engineering Reuse

    E-Print Network [OSTI]

    Fortune, Jared

    2009-04-20T23:59:59.000Z

    Systems engineering reuse is the utilization of previously developed systems engineering products or artifacts such as

  19. External Dose Estimates from

    E-Print Network [OSTI]

    ; - calculated separately for the most important radionuclides produced in nuclear weapons tests. Those would averages for all tests. 2. Provide a list of references regarding: (1) the history of nuclear weapons to the Population of the Continental U.S. from Nevada Weapons Tests and Estimates of Deposition Density

  20. D&D Waste Estimate Validation

    SciTech Connect (OSTI)

    Sanford, P. C.; Templeton, J. H.; Stevens, J. L.; Dorr, K.

    2002-02-25T23:59:59.000Z

    Rocky Flats Closure Project (Site) includes several multi-year decontamination and decommissioning (D&D) projects which, over the next four years, will dismantle and demolish four major plutonium facilities, four major uranium facilities, and over 400 additional facilities of different types. The projects are currently generating large quantities of transuranic, low-level, mixed, hazardous, and sanitary wastes. A previous paper described the initial conceptual estimates and methods, and the evolution of these methods based on the actual results from the decommissioning of a ''pilot'' facility. The waste estimating method that resulted from that work was used for the waste estimates incorporated into the current Site baseline. This paper discusses subsequent developments on the topic of waste estimating that have occurred since the baseline work. After several months of operation under the current Site baseline, an effort was initiated to either validate or identify improvements to the waste basis-of-estimate. Specific estimate and estimating method elements were identified for additional analysis based on the element's potential for error and the impact of that error on Site activities. The analysis took advantage of actual, more detailed data collected both from three years additional experience in decommissioning a second plutonium facility and from experience in deactivating certain non-plutonium facilities. It compared the actual transuranic and low-level waste generation against their respective estimates based on overall distribution and for individual media (i.e. equipment type), and evaluated trends. Finally, it projected the quantity of lead-characteristic low-level mixed waste that will be generated from plutonium building decommissioning and upgraded the decommissioning waste estimates of the non-plutonium buildings.

  1. IRS Data Retrieval Tool Data is available within 1-2 weeks of electronically filing your taxes or 6-8 weeks of filling a paper tax return.

    E-Print Network [OSTI]

    Delene, David J.

    IRS Data Retrieval Tool Data is available within 1-2 weeks of electronically filing your taxes or 6: How to Use the IRS Data Retrieval Tool 1. Go to www.fafsa.ed.gov and click "Start Here". Enter you want to use the Data Retrieval tool for the STUDENT ONLY, press "next" at the bottom of the page

  2. Use of Cost Estimating Relationships

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

    1997-03-28T23:59:59.000Z

    Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

  3. Interview with ARPA-E Acting Director Dr. Cheryl Martin on Platts Energy Week

    ScienceCinema (OSTI)

    Martin, Cheryl; Loveless, Bill

    2014-04-11T23:59:59.000Z

    Bill Loveless from Platts Energy Week interviews ARPA-E Acting Director, Dr. Cheryl Martin, about the many transformational energy technologies on display at ARPA-E's 5th annual Energy Innovation Summit.

  4. CME 331.3 (3L-3P alt week) Microprocessor Based Embedded Systems

    E-Print Network [OSTI]

    Saskatchewan, University of

    CME 331.3 (3L-3P alt week) Microprocessor Based Embedded Systems Department of Electrical.usask.ca/university_secretary/honesty/StudentAcademicAppeals.pdf Course Content: Microprocessor - introductory concepts Intro to Stellaris LaunchPad Microcontroller

  5. Question of the Week: How Do You Feel About the Extended Daylight...

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

    Feel About the Extended Daylight Saving Time? Question of the Week: How Do You Feel About the Extended Daylight Saving Time? March 12, 2009 - 6:00am Addthis Have you been drinking...

  6. NSTX Weekly Report (Jan. 29, 2009) FY 2010 NSTX plasma operations

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    of flat line density via ELM triggering and gas fueling optimization. (R. Maingi) · The article vessel bake. Access to the NSTX test cell will be restricted during the 1st shift this coming week during MPTS diagnostic operations. R

  7. Photo of the Week: Women in STEM Introducing Girls to Engineering...

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

    Women in STEM Introducing Girls to Engineering Photo of the Week: Women in STEM Introducing Girls to Engineering March 4, 2013 - 11:51am Addthis This Friday, March 8, marks...

  8. Interview with ARPA-E Acting Director Dr. Cheryl Martin on Platts Energy Week

    SciTech Connect (OSTI)

    Martin, Cheryl; Loveless, Bill

    2014-03-18T23:59:59.000Z

    Bill Loveless from Platts Energy Week interviews ARPA-E Acting Director, Dr. Cheryl Martin, about the many transformational energy technologies on display at ARPA-E's 5th annual Energy Innovation Summit.

  9. Improving supply chain performance by implementing weekly demand planning processes in the consumer packaged goods industry

    E-Print Network [OSTI]

    Rah, Myung-Hyun Elisa

    2006-01-01T23:59:59.000Z

    This thesis examines how simple weekly demand planning process can improve inventory levels and customers service levels at the Gillette Company. The processes designed by the project team has been tested and executed in ...

  10. Time to Buy: Determining How Airfares Vary with Purchase Day of the Week

    E-Print Network [OSTI]

    Taylor, Lisa

    2012-02-14T23:59:59.000Z

    In this paper, I empirically identify a new source of price discrimination utilized by airlines, namely, price discrimination based on the day of the week a ticket is purchased. Using unique transaction data, I compare tickets that are identical...

  11. Six-Week Time Series Of Eddy Covariance Co2 Flux At Mammoth Mountain...

    Open Energy Info (EERE)

    Flux At Mammoth Mountain, California- Performance Evaluation And Role Of Meteorological Forcing Abstract CO2 and heat fluxes were measured over a six-week period (09082006 to 10...

  12. Green Button App of the Week Part 3: VELObill | Department of...

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

    of the Week Part 3: VELObill August 10, 2012 - 3:16pm Addthis VELObill helps users use Green Button data to make sense of their Energy bills Matthew Loveless Matthew Loveless...

  13. Photo of the Week: Eye-to-Eye with a Wind Turbine | Department...

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

    Eye-to-Eye with a Wind Turbine Photo of the Week: Eye-to-Eye with a Wind Turbine August 7, 2013 - 10:35am Addthis At the National Renewables Energy Laboratory (NREL), scientists...

  14. REU 2014: SCHEDULE FOR WEEKS 5 AND 6 Morning classes will meet in Ryerson 251

    E-Print Network [OSTI]

    May, J. Peter

    or after 5:00; R276 and R277 are also reserved for the REU. FIFTH WEEK: Date Apprentice Geometry Alg. Top is the schedule in summary form: FIFTH WEEK: Laci Babai. Apprentice. 9:30­12:00 MWF Laci Babai and Sean Howe. Apprentice problem sessions 9:30­12:00 TTh Sebastian Hensel. Geometry. 3:00­4:00 MWF Peter May. Algebraic

  15. Estimating radiogenic cancer risks

    SciTech Connect (OSTI)

    NONE

    1994-06-01T23:59:59.000Z

    This document presents a revised methodology for EPA`s estimation of cancer risks due to low-LET radiation exposures in light of information that has become available since the publication of BIER III, especially new information on the Japanese atomic bomb survivors. For most cancer sites, the risk model is one in which the age-specific relative risk coefficients are obtained by taking the geometric mean of coefficients derived from the atomic bomb survivor data employing two different methods for transporting risks from Japan to the U.S. (multiplicative and NIH projection methods). Using 1980 U.S. vital statistics, the risk models are applied to estimate organ-specific risks, per unit dose, for a stationary population.

  16. A Flexible Method of Estimating Luminosity Functions

    E-Print Network [OSTI]

    Brandon C. Kelly; Xiaohui Fan; Marianne Vestergaard

    2008-05-19T23:59:59.000Z

    We describe a Bayesian approach to estimating luminosity functions. We derive the likelihood function and posterior probability distribution for the luminosity function, given the observed data, and we compare the Bayesian approach with maximum-likelihood by simulating sources from a Schechter function. For our simulations confidence intervals derived from bootstrapping the maximum-likelihood estimate can be too narrow, while confidence intervals derived from the Bayesian approach are valid. We develop our statistical approach for a flexible model where the luminosity function is modeled as a mixture of Gaussian functions. Statistical inference is performed using Markov chain Monte Carlo (MCMC) methods, and we describe a Metropolis-Hastings algorithm to perform the MCMC. The MCMC simulates random draws from the probability distribution of the luminosity function parameters, given the data, and we use a simulated data set to show how these random draws may be used to estimate the probability distribution for the luminosity function. In addition, we show how the MCMC output may be used to estimate the probability distribution of any quantities derived from the luminosity function, such as the peak in the space density of quasars. The Bayesian method we develop has the advantage that it is able to place accurate constraints on the luminosity function even beyond the survey detection limits, and that it provides a natural way of estimating the probability distribution of any quantities derived from the luminosity function, including those that rely on information beyond the survey detection limits.

  17. Hazard Analysis of Mortality Among Twins and Triplets in the United States: From 20 Weeks Gestation Through the First Year of Life 

    E-Print Network [OSTI]

    DeSalvo, Bethany S.

    2011-08-08T23:59:59.000Z

    Infant mortality is viewed as an important indicator of the health and social conditions of a population. However, the infant mortality rate in the United States is estimated to be much lower than those of other developed ...

  18. Extremal index estimation 

    E-Print Network [OSTI]

    Kampa, Aleksander Edward

    1988-01-01T23:59:59.000Z

    ) December 1988 Extremal Index Estimation (December 1988) Aleksander Edward Kampa, Ecole Centrale de Paris, France Chairman of Advisory Comittee: Dr. Tailen Hsing If (X ) is a strictly stationary sequence satisfying certain n dependence restrictions (e.... g. D or A), then the relationship between the extremal properties of (X ) and its associated independent sequence (X ) n n can. under certain conditions, be summed up by a single constant Be[0. 1]. called the extremal index. Results of extreme...

  19. Estimating Corn Grain Yields

    E-Print Network [OSTI]

    Blumenthal, Jurg M.; Thompson, Wayne

    2009-06-12T23:59:59.000Z

    can collect samples from a corn field and use this data to calculate the yield estimate. An interactive grain yield calculator is provided in the Appendix of the pdf version of this publication. The calculator is also located in the publication.... Plan and prepare for sample and data collection. 2. Collect field samples and record data. 3. Analyze the data using the interactive grain yield calculator in the Appendix. Plan and prepare for sample and data collection Predetermine sample locations...

  20. AN OVERVIEW OF TOOL FOR RESPONSE ACTION COST ESTIMATING (TRACE)

    SciTech Connect (OSTI)

    FERRIES SR; KLINK KL; OSTAPKOWICZ B

    2012-01-30T23:59:59.000Z

    Tools and techniques that provide improved performance and reduced costs are important to government programs, particularly in current times. An opportunity for improvement was identified for preparation of cost estimates used to support the evaluation of response action alternatives. As a result, CH2M HILL Plateau Remediation Company has developed Tool for Response Action Cost Estimating (TRACE). TRACE is a multi-page Microsoft Excel{reg_sign} workbook developed to introduce efficiencies into the timely and consistent production of cost estimates for response action alternatives. This tool combines costs derived from extensive site-specific runs of commercially available remediation cost models with site-specific and estimator-researched and derived costs, providing the best estimating sources available. TRACE also provides for common quantity and key parameter links across multiple alternatives, maximizing ease of updating estimates and performing sensitivity analyses, and ensuring consistency.

  1. Estimates of US biofuels consumption, 1990

    SciTech Connect (OSTI)

    Not Available

    1991-10-01T23:59:59.000Z

    This report is the sixth in the series of publications developed by the Energy Information Administration to quantify the amount of biofuel-derived primary energy used by the US economy. It provides preliminary estimates of 1990 US biofuels energy consumption by sector and by biofuels energy resource type. The objective of this report is to provide updated annual estimates of biofuels energy consumption for use by congress, federal and state agencies, and other groups involved in activities related to the use of biofuels. 5 figs., 10 tabs.

  2. Battery Calendar Life Estimator Manual Modeling and Simulation

    SciTech Connect (OSTI)

    Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia

    2012-10-01T23:59:59.000Z

    The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.

  3. Image-based meteorologic visibility estimation

    E-Print Network [OSTI]

    Graves, Nathan

    2011-01-01T23:59:59.000Z

    the estimated luminance. . . . . . . . . . . . . . . . . .Nephelometer . . . . . . 3.4.3 Luminance Meter . . . . 4intensity and the estimated luminance. . . . . . . . . .

  4. Sensitivity of health risk estimates to air quality adjustment procedure

    SciTech Connect (OSTI)

    Whitfield, R.G.

    1997-06-30T23:59:59.000Z

    This letter is a summary of risk results associated with exposure estimates using two-parameter Weibull and quadratic air quality adjustment procedures (AQAPs). New exposure estimates were developed for children and child-occurrences, six urban areas, and five alternative air quality scenarios. In all cases, the Weibull and quadratic results are compared to previous results, which are based on a proportional AQAP.

  5. Estimation and prediction in spatial models with block composite likelihoods

    E-Print Network [OSTI]

    Reich, Brian J.

    Estimation and prediction in spatial models with block composite likelihoods Jo Eidsvik1 , Benjamin, IA 50011, U.S.A. (niemi@iastate.edu) 1 #12;Abstract A block composite likelihood is developed for estimation and prediction in large spatial datasets. The composite likelihood is constructed from the joint

  6. Evaluating the complementary relationship for estimating evapotranspiration from arid shrublands

    E-Print Network [OSTI]

    Szilagyi, Jozsef

    region using micrometeorological, energy balance, and remote sensing techniques [Malek et al., 1990 supplies, accurate estimates of evapotranspiration (LE) from arid shrublands of the Southwestern United States are needed to develop or refine basin water budgets. In this work, a novel approach to estimating

  7. Dynamic Bayesian Networks model to estimate process availability.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Dynamic Bayesian Networks model to estimate process availability. Weber P. Centre de Recherche en reported here explores a new methodology to develop Dynamic Bayesian Network-based Availability of the system availability estimation comparing DBN model with the classical Markov chain model. Keywords

  8. Estimating Emissions in Latin America: An Alternative to Traffic Models

    E-Print Network [OSTI]

    Richner, Heinz

    Estimating Emissions in Latin America: An Alternative to Traffic Models Margarita Ossés de Eicker; Hans Hurni, Centre for Development and Environment (CDE), University of Bern, Switzerland Emissions allow precise estimations of these emissions but are too expensive for a broad application. A simplifed

  9. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    NONE

    1999-02-01T23:59:59.000Z

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  10. week0909

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    have fallen almost to year-ago levels, when they were considered low. Current prices for natural gas are also much less than a few months ago and much less than expected prices...

  11. Weekly Update

    Gasoline and Diesel Fuel Update (EIA)

    by the vagaries of the weather. The presence of a large "El Nino" weather pattern in the Pacific Ocean could make this winter more unpredictable than most. Futures Prices: The...

  12. week0923

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    3,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e...

  13. week0610

    Gasoline and Diesel Fuel Update (EIA)

    0,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 0 . 0 0 0 . 5 0 1 . 0 0 1 . 5 0 2 . 0 0 2 . 5 0 3 . 0 0 3 . 5 0 4 . 0 0 Dollars Per Million BTU N Y M...

  14. week0617

    Gasoline and Diesel Fuel Update (EIA)

    7,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e...

  15. week0701

    Gasoline and Diesel Fuel Update (EIA)

    ,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e...

  16. week0812

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

    2,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e m e n t...

  17. week0528

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

    8,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 0 . 0 0 0 . 5 0 1 . 0 0 1 . 5 0 2 . 0 0 2 . 5 0 3 . 0 0 3 . 5 0 4 . 0 0 Dollars Per Million BTU N Y M...

  18. week0624

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

    4,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e...

  19. week0903

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

    ,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e...

  20. week0916

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    6,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e...

  1. week0708

    Gasoline and Diesel Fuel Update (EIA)

    8,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e...

  2. week1015

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

    1,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million...

  3. week0930

    Gasoline and Diesel Fuel Update (EIA)

    0,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e...

  4. week0722

    Gasoline and Diesel Fuel Update (EIA)

    2,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e m e n t...

  5. week0715

    Gasoline and Diesel Fuel Update (EIA)

    5,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e m e n t...

  6. week0520

    Gasoline and Diesel Fuel Update (EIA)

    0,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 0 . 0 0 1 . 0 0 2 . 0 0 3 . 0 0 4 . 0 0 5 . 0 0 6 . 0 0 7 . 0 0 8 . 0 0 9 . 0 0 J a n - 9 6 Dollars...

  7. natgas weekly

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

    ,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7 5...

  8. week0805

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    5,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e m e n t...

  9. week1015

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

    5,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million...

  10. week1007

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

    7,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million...

  11. week0819

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

    9,1996 N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million BTU N Y M E X S e t t l e m e n t...

  12. week1028

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

    8,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million...

  13. natgas weekly

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

    2,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million...

  14. natgas weekly

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

    4,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million...

  15. natgas weekly

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

    5,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7...

  16. natgas weekly

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

    9,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 3 . 2 5 3 . 5 0 3 . 7...

  17. natgas weekly

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

    8,1996 http:www.eia.doe.gov N Y M E X P r i c e F u t u r e s v s H e n r y H u b S p o t P r i c e 1 . 5 0 1 . 7 5 2 . 0 0 2 . 2 5 2 . 5 0 2 . 7 5 3 . 0 0 Dollars Per Million...

  18. week513

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

    January the number of drilling rigs in operation has increased steadily and, according to Baker Hughes, Inc., totaled 741 at the end of April. Of these, more than 60 percent (446)...

  19. week0603

    Gasoline and Diesel Fuel Update (EIA)

    etc.), reactivating retired conventional generating units, and installing gas-turbine generating equipment on a temporary basis. All three approaches could require...

  20. week0729

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

    of several dormant conventional generating plants, installation of four or more gas turbine generators, and increased purchases of power from neighboring states and Canada....

  1. Weekly Update

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOE Reserve Class0,‹0,

  2. natgas weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone, Million8a.TableHomea.9a.4,1996

  3. natgas weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,

  4. natgas weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996 http://www.eia.doe.gov N Y

  5. natgas weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996 http://www.eia.doe.gov N

  6. natgas weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996 http://www.eia.doe.gov

  7. natgas weekly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996

  8. week0520

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1 4.2

  9. week0528

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1 4.28,1996 N Y M

  10. week0603

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1 4.28,1996 N Y

  11. week0610

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1 4.28,1996 N

  12. week0617

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1 4.28,1996

  13. week0624

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1 4.28,19964,1996

  14. week0701

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.1

  15. week0708

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,1996 N Y M E X

  16. week0715

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,1996 N Y M E

  17. week0722

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,1996 N Y M

  18. week0729

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,1996 N Y

  19. week0805

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,1996 N Y5,1996

  20. week0812

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,1996 N

  1. week0819

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,1996 N9,1996 N

  2. week0903

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,1996 N9,1996

  3. week0909

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,1996

  4. week0916

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,19966,1996 N Y

  5. week0923

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,19966,1996 N

  6. week0930

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1 64.18,19966,1996

  7. week1007

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.1

  8. week1015

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.15,1996

  9. week1015

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.15,19961,1996

  10. week1028

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate Zone,8,1996and8.15,19961,19968,1996

  11. week513

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate

  12. Energy Expenditure Estimation DEMO Application

    E-Print Network [OSTI]

    Lu?trek, Mitja

    and against the SenseWear, a dedicated commercial product for energy expenditure estimation. Keywords: humanEnergy Expenditure Estimation DEMO Application Bozidara Cvetkovi´c1,2 , Simon Kozina1,2 , Bostjan://www.mps.si Abstract. The paper presents two prototypes for the estimation of hu- man energy expenditure during normal

  13. Summary of events and geotechnical factors leading to decommissioning of the Strategic Petroleum Reserve (SPR) facility at Weeks Island, Louisiana

    SciTech Connect (OSTI)

    Neal, J.T. [ed.; Bauer, S.J.; Ehgartner, B.L. [and others

    1996-10-01T23:59:59.000Z

    A sinkhole discovered over the edge of the Strategic Petroleum Reserve storage facility at Weeks Island salt dome, Louisiana, led to decommissioning the site during 1995--1998, following extensive diagnostics in 1994. The sinkhole resulted from mine-induced fractures in the salt which took may years to develop, eventually causing fresh water to leak into the storage chamber and dissolve the overlying salt, thus causing overburden collapse into the void. Prior to initiating the oil removal, a freeze wall was constructed at depth around the sinkhole in 1995 to prevent water inflow; a freeze plug will remain in place until the mine is backfilled with brine in 1997--8, and stability is reached. Residual oil will be removed; environmental monitoring has been initiated and will continue until the facility is completely plugged and abandoned, and environmental surety is achieved.

  14. Modeling, estimation, and control of robot-soil interactions

    E-Print Network [OSTI]

    Hong, Won, 1971-

    2001-01-01T23:59:59.000Z

    This thesis presents the development of hardware, theory, and experimental methods to enable a robotic manipulator arm to interact with soils and estimate soil properties from interaction forces. Unlike the majority of ...

  15. Estimation and Fate of New Production in the Marine Environment

    E-Print Network [OSTI]

    McInnes, Allison Skinner

    2014-06-03T23:59:59.000Z

    new nutrients and the effect on the ecosystem, the effect of currents on our measurements and estimates of export (equivalent to new production), and finally development of a new method which will allow in situ determination of new production...

  16. Estimating A Shear Modulus Of A Transversely Isotropic Formation

    E-Print Network [OSTI]

    Ellefsen, K. J.

    1990-01-01T23:59:59.000Z

    A method to estimate c[subscript 66], which is a shear modulus of a transversely isotropic formation (with its symmetry axis parallel to the borehole), is developed and tested. The inversion for c[subscript 66] is based ...

  17. Estimating material and energy intensities of urban areas

    E-Print Network [OSTI]

    Quinn, David James, Ph. D. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    The objective of this thesis is to develop methods to estimate, analyze and visualize the resource intensity of urban areas. Understanding the resource consumption of the built environment is particularly relevant in cities ...

  18. Direct estimation of gas reserves using production data 

    E-Print Network [OSTI]

    Buba, Ibrahim Muhammad

    2004-09-30T23:59:59.000Z

    This thesis presents the development of a semi-analytical technique that can be used to estimate the gas-in-place for volumetric gas reservoirs. This new methodology utilizes plotting functions, plots, extrapolations, ...

  19. An analysis of Texas rainfall data and asymptotic properties of space-time covariance estimators

    E-Print Network [OSTI]

    Li, Bo

    2009-06-02T23:59:59.000Z

    This dissertation includes two parts. Part 1 develops a geostatistical method to calibrate Texas NexRad rainfall estimates using rain gauge measurements. Part 2 explores the asymptotic joint distribution of sample space-time covariance estimators...

  20. Application of the Continuous EUR Method to Estimate Reserves in Unconventional Gas Reservoirs 

    E-Print Network [OSTI]

    Currie, Stephanie M.

    2010-10-12T23:59:59.000Z

    Reserves estimation in unconventional (low/ultra-low permeability) reservoirs has become a topic of increased interest as more of these resources are being developed, especially in North America. The estimation of reserves ...

  1. Experimental program for the development of peat gasification. Process designs and cost estimates for the manufacture of 250 billion Btu/day SNG from peat by the PEATGAS Process. Interim report No. 8

    SciTech Connect (OSTI)

    Arora, J.L.; Tsaros, C.L.

    1980-02-01T23:59:59.000Z

    This report presents process designs for the manufacture of 250 billion Btu's per day of SNG by the PEATGAS Process from peats. The purpose is to provide a preliminary assessment of the process requirements and economics of converting peat to SNG by the PEATGAS Process and to provide information needed for the Department of Energy (DOE) to plan the scope of future peat gasification studies. In the process design now being presented, peat is dried to 35% moisture before feeding to the PEATGAS reactor. This is the basic difference between the Minnesota peat case discussed in the current report and that presented in the Interim Report No. 5. The current design has overall economic advantages over the previous design. In the PEATGAS Process, peat is gasified at 500 psig in a two-stage reactor consisting of an entrained-flow hydrogasifier followed by a fluidized-bed char gasifier using steam and oxygen. The gasifier operating conditions and performance are necessarily based on the gasification kinetic model developed for the PEATGAS reactor using the laboratory- and PDU-scale data as of March 1978 and April 1979, respectively. On the basis of the available data, this study concludes that, although peat is a low-bulk density and low heating value material requiring large solids handling costs, the conversion of peat to SNG appears competitive with other alternatives being considered for producing SNG because of its very favorable gasification characteristics (high methane formation tendency and high reactivity). As a direct result of the encouraging technical and economic results, DOE is planning to modify the HYGAS facility in order to begin a peat gasification pilot plant project.

  2. Robust Single-Qubit Process Calibration via Robust Phase Estimation

    E-Print Network [OSTI]

    Shelby Kimmel; Guang Hao Low; Theodore J. Yoder

    2015-02-09T23:59:59.000Z

    An important step in building a quantum computer is calibrating experimentally implemented quantum gates to produce operations that are close to ideal unitaries. The calibration step involves estimating the error in gates and then using controls to correct the implementation. Quantum process tomography is a standard technique for estimating these errors, but is both time consuming, (when one only wants to learn a few key parameters), and requires resources, like perfect state preparation and measurement, that might not be available. With the goal of efficiently estimating specific errors using minimal resources, we develop a parameter estimation technique, which can gauge two key parameters (amplitude and off-resonance errors) in a single-qubit gate with provable robustness and efficiency. In particular, our estimates achieve the optimal efficiency, Heisenberg scaling. Our main theorem making this possible is a robust version of the phase estimation procedure of Higgins et al. [B. L. Higgins, New J. Phys. 11, 073023 (2009)].

  3. Influence of release frequency in software development

    E-Print Network [OSTI]

    a six weeks development lifecycle [2]. It's also the case for exploitations systems. Microsoft wants, Canonical may change the release development for a 6 months lifecycle to a 2 years release frequency [4]. B as possible to improve the attractiveness of the product over the completion. Software is going from perpetual

  4. IDC RP2 & 3 US Industry Standard Cost Estimate Summary.

    SciTech Connect (OSTI)

    Harris, James M.; Huelskamp, Robert M.

    2015-01-01T23:59:59.000Z

    Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

  5. IT PROJECT MANAGEMENT PROGRAM A ten-week program covering best practices in IT project management

    E-Print Network [OSTI]

    Schaefer, Marcus

    with managing and working with people such as team composition and leadership, conflict resolution and politics Management Program are expected to do a considerable amount of work outside of class. StudentsIT PROJECT MANAGEMENT PROGRAM A ten-week program covering best practices in IT project management

  6. NSTX Weekly Report (Feb. 26, 2010) FY 2010 NSTX plasma operations

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    of the NSTX vacuum vessel. Also this week, testing of the field coil power conversion system safety interlocks Lithium Divertor (LLD) - A vacuum chamber mockup of an LLD plate air cooling feedthrough connected that the vacuum seal and interior welds performed successfully. Cyclic thermal testing is in progress. · LLD

  7. MAE 124/ESYS 103 Discussion: Week 9 Buildings, Building Codes, Land Use

    E-Print Network [OSTI]

    Gille, Sarah T.

    MAE 124/ESYS 103 Discussion: Week 9 Buildings, Building Codes, Land Use 0. Let's consider apartment complex under construction August 1, 2003 "If you build it we will burn it. The E.L.F.s are mad of life and the planet." Is ELF pursuing a sustainable "smart growth" strategy? 2. Is open space near

  8. Helpful Hints Get to know your class well in the first six weeks.

    E-Print Network [OSTI]

    Helpful Hints Get to know your class well in the first six weeks. Attend as many GLC Approved Delta Alpha, Psi Upsilon, Sigma Alpha Epsilon, Sigma Nu, Sigma Phi Epsilon, Theta Delta Chi, Zeta Psi Delta Epsilon, Kappa Kappa Gamma, Sigma Delta Coed Chapters: Alpha Theta, Phi Tau, The Tabard National

  9. The event is free and open to the public "Germany in Europe" Campus Weeks

    E-Print Network [OSTI]

    Missouri-Columbia, University of

    The event is free and open to the public "Germany in Europe" Campus Weeks German Embassy and German Educator Seattle, WA and Cologne, Germany Marcel Machill Professor of Journalism and International Media Systems University of Leipzig, Germany Randy Smith, Co-director, MU Center for the Digital Globe Donald W

  10. Blue and Gold Society Please Submit requests at least two weeks prior

    E-Print Network [OSTI]

    Jiang, Huiqiang

    Blue and Gold Society Please Submit requests at least two weeks prior to your event date Today: ____________________________ ___________________________________________ ___________________________________________ ___________________________________________ Assistance Required Number of Blue and Gold members needed: _______ Arrival Time: __: __ Departing Time: __: __ Blue and Gold Society attire: Formal (suit) Casual (rugby shirt) Other Any Additional Information

  11. NSTX Weekly Report (Jan. 15, 2009) FY 2010 NSTX plasma operations

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    preparations to close and pump-down the NSTX vacuum vessel. Some rework and testing of the Beam Emission duct is scheduled for next week, and will be followed by vessel pump-down. Access to the NSTX test cell published in Nuclear Fusion. The paper describes high beta stability sustainment to resistive wall modes

  12. NSTX Weekly Report (May 28, 2010) FY 2010 NSTX plasma operations

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    . Twelve papers have been submitted for publication in Journal of Nuclear Materials. The poster given Lithium Evaporation onto the NSTX Vessel Walls" by D. Stotler, "Macroscopic Motion of Liquid Metal Plasma operations resumed this past week after completion of combined field power testing, leading to the successful

  13. NSTX Weekly Report (November 24, 2010) FY 2011 NSTX plasma operations started on October 4, 2010

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    in NSTX" by V. A. Soukhanovskii (LLNL) et al. has been accepted for publication in Nuclear Fusion Operations (A. von Halle, C. Neumeyer) The NSTX outage continued this past week with in-vessel diagnostic removed and brought to the Vacuum Prep Lab for transmission testing. A water leak was discovered

  14. Weekly Security Incident Log Period of Aug 12 -Aug 18, 2013

    E-Print Network [OSTI]

    2013-001248 THOMPSON ROAD Gas leak Security , Toronto Fire, Toronto Police, and Occupational Health and Safety responded to a report of a natural gas leak in the area of the Life Science BuildingWeekly Security Incident Log Period of Aug 12 - Aug 18, 2013 Incident No. Reported Date Building

  15. Weekly Security Incident Log Period of Feb 6 -Feb 12, 2012

    E-Print Network [OSTI]

    Gas leak Security and Toronto Fire responded to a report of a natural gas odour in B-wing. TorontoWeekly Security Incident Log Period of Feb 6 - Feb 12, 2012 Incident No. Reported Date Building\\Const. Security, York Fire Prevention and Toronto Fire responded to a fire alarm. The cause of the alarm

  16. Weekly Security Incident Log Period of Jul 9 -Jul 15, 2012

    E-Print Network [OSTI]

    and Safety responded to a report of a natural gas odour in the building. The building was checked and no natural gas was found. Toronto Fire determined that all was in order. 7/12/2012 07:31 AM HazardousWeekly Security Incident Log Period of Jul 9 - Jul 15, 2012 Incident No. Reported Date Building

  17. Weekly Security Incident Log Period of Apr 29 -May 5, 2013

    E-Print Network [OSTI]

    2013-000845 YORK LANES RETAIL Gas leak Security, Toronto Fire and Enbridge Gas responded to a report of a natural gas odour in the building. The source of the odour was located in a restaurant kitchen. EnbridgeWeekly Security Incident Log Period of Apr 29 - May 5, 2013 Incident No. Reported Date Building

  18. EE 362.3 (3L-3P alt. weeks) Digital Signal Processing

    E-Print Network [OSTI]

    Saskatchewan, University of

    EE 362.3 (3L-3P alt. weeks) Digital Signal Processing Department of Electrical and Computer-Time and Continuous-Time Signals, Sampling Rate Change, Multirate Signal Processing, Digital Processing of Analog Engineering Fall 2014 Description: This course covers the basic theory of discrete-time signal processing

  19. Learn more about the summer course which includes a 3 week trip to South Africa.

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    Learn more about the summer course which includes a 3 week trip to South Africa. The program an introduction to the historical and the con- temporary South Africa as well as at least one post trip meeting@binghamton.edu or Josephine Allen at jaallen@binghamton.edu. Destination South Africa - Summer Course 2012 February 28th

  20. Brazil Week "Vanderbilt"and the Vanderbilt logo are registered trademarks and service marks of

    E-Print Network [OSTI]

    Bordenstein, Seth

    Brazil Week "Vanderbilt"and the Vanderbilt logo are registered trademarks and service marks of Citizenship in Late-Nineteenth-Century Brazil" 4:00 p.m. Buttrick Hall 123 Futebol Tournament All are invited.d.larson@vanderbilt.edu. 5:30 p.m. Alumni Lawn Wednesday SEPT World on Wednesday "Vanderbilt and Brazil: Past Present

  1. Weekly Security Incident Log Period of May 14 -May 20, 2012

    E-Print Network [OSTI]

    Weekly Security Incident Log Period of May 14 - May 20, 2012 Incident No. Reported Date Building-000955 PARKING GARAGE - ARBORETUM LANE (PS2) Mech\\Electrical Security responded to a report that an automotive York Security responded to a report of an unknown male causing a disturbance in the food court

  2. Energy and Society GSI Section Notes Week of October 6, 2014

    E-Print Network [OSTI]

    Kammen, Daniel M.

    representations of costs Important terms and concepts: Present value P The value of any past, future or current1 Energy and Society GSI Section Notes ­ Week of October 6, 2014 Content: 1. Economic Analysis 2 payback Converting between present and future values Converting between NPV and annualized

  3. BEFORE YOU SIGN UP TO PRESENT YOUR PROPOSAL AT NEXT WEEK'S FINANCE COMMITTEE

    E-Print Network [OSTI]

    de Lijser, Peter

    BEFORE YOU SIGN UP TO PRESENT YOUR PROPOSAL AT NEXT WEEK'S FINANCE COMMITTEE YOU MUST COMPLETE Board/SAL/Advisor before you sign-up for Finance Committee. 2. Review the AICA By-Laws (specifically have completed 1-5 above, then sign up to present your Allocation Request at AICA Finance Committee

  4. WEEK ONE MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY MORNING SNACK Fresh fruit with milk or

    E-Print Network [OSTI]

    Mumby, Peter J.

    Fresh fruit with milk or water to drink MAIN COURSE Organic Pork sausage in a lentil and bean casseroleWEEK ONE MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY MORNING SNACK Fresh fruit with milk or water to drink. Fresh fruit with milk or water to drink Fresh fruit with milk or water to drink Fresh fruit

  5. Lecture 3 week 2/3 2012: Solar radiation, the greenhouse, global heat engine

    E-Print Network [OSTI]

    ....cycles of cold and warm climate. Averaged over the globe, sunlight falling on Earth in July (aphelion) is indeedLecture 3 week 2/3 2012: H 222c Solar radiation, the greenhouse, global heat engine http://en.wikipedia.org/ #12;#12;The 3 streams of this course (see syllabus) 1.Energy forms of energy concentrated, dilute

  6. During the week of August 6, 2002, the New York grid was faced with a

    E-Print Network [OSTI]

    Perez, Richard R.

    During the week of August 6, 2002, the New York grid was faced with a serious power supply of existing direct load control customers, plus micro storage utilization, further reducing any noticeable end of existing direct load control customers, plus micro storage utilization, further reducing any noticeable end

  7. REU 2006: SCHEDULE FOR WEEKS THREE AND FOUR Morning talks (apprentice): Ryerson 251

    E-Print Network [OSTI]

    Babai, László

    REU 2006: SCHEDULE FOR WEEKS THREE AND FOUR Morning talks (apprentice): Ryerson 251 Afternoon talks: Eckhart 206 MWF Ryerson 251 TTh Date YSP Abert/Babai Abert Babai Farb Fiore Apprentice Problems Discrete: YSP: 9:30­2:30 WThF Abert/Babai (Apprentice): 9:30­12:00 WThF Abert (Problems and theorems): 2

  8. Study China Programme Live and learn in China for three weeks

    E-Print Network [OSTI]

    Oakley, Jeremy

    Study China Programme Live and learn in China for three weeks Study China is a unique learning, arts and business. About Study China Finance is provided by the UK government and managed Universities. Study China is in it's fourth year and has enabled over 1000 students to explore this fascinating

  9. Date of Accident: _____/_____/________ Day of Week: __________________ Hour: _____:______ AM / PM TIME VEHICLE ACCIDENT REPORT

    E-Print Network [OSTI]

    Farritor, Shane

    Page 1/2 Date of Accident: _____/_____/________ Day of Week: __________________ Hour: _____:______ AM / PM TIME VEHICLE ACCIDENT REPORT TO BE USED BY ALL STATE AGENCIES to make immediate report of all motor vehicle accidents involving State employees, vehicles, equipment or where highways could result

  10. Regulation of somatosensory cortex development downstream of glutamate 

    E-Print Network [OSTI]

    Petrie, Anne

    2009-01-01T23:59:59.000Z

    Development of the rodent somatosensory cortex is well characterised and involves activity-dependent mechanisms that occur during the first postnatal week. Glutamate is a key neurotransmitter responsible for signalling ...

  11. Estimation of hydrologic properties of an unsaturated, fractured rock mass

    SciTech Connect (OSTI)

    Klavetter, E.A.; Peters, R.R.

    1986-07-01T23:59:59.000Z

    In this document, two distinctly different approaches are used to develop continuum models to evaluate water movement in a fractured rock mass. Both models provide methods for estimating rock-mass hydrologic properties. Comparisons made over a range of different tuff properties show good qualitative and quantitative agreement between estimates of rock-mass hydrologic properties made by the two models. This document presents a general discussion of: (1) the hydrology of Yucca Mountain, and the conceptual hydrological model currently being used for the Yucca Mountain site, (2) the development of two models that may be used to estimate the hydrologic properties of a fractured, porous rock mass, and (3) a comparison of the hydrologic properties estimated by these two models. Although the models were developed in response to hydrologic characterization requirements at Yucca Mountain, they can be applied to water movement in any fractured rock mass that satisfies the given assumptions.

  12. REU 2011: SCHEDULE FOR WEEKS THREE AND FOUR Morning talks are in R251. Afternoon talks are in E276.

    E-Print Network [OSTI]

    May, J. Peter

    . Late afternoon problem sessions are in E206. THIRD WEEK: Date Apprentice Probability Number Theory:30­12:00 1:00­2:30 3:00­4:30 During the 3rd week, all apprentice classes will be held by Laci Babai for other classes will be MWF 4:30­6:00 and at other times to be determined. FOURTH WEEK: Date Apprentice

  13. POINTWISE ESTIMATES AND MONOTONICITY FORMULAS

    E-Print Network [OSTI]

    POINTWISE ESTIMATES AND MONOTONICITY FORMULAS WITHOUT MAXIMUM PRINCIPLE MARCELO MONTENEGRO;2 MARCELO MONTENEGRO AND ENRICO VALDINOCI In this paper, a central role will be played by the following

  14. Linear Constrained Moving Horizon Estimator With Pre-Estimating Observer

    E-Print Network [OSTI]

    Johansen, Tor Arne

    in the literature, e.g. Rao et al. (2001, 2003); Alessandri et al. (2003, 2004). The idea of MHE is to estimate of robustness in the presence of uncertainties such as noise, disturbances and modeling errors, see Alessandri in the literature, e.g. Rao et al. (2001, 2003); Alessandri et al. (2003, 2004). The pre-estimator leads

  15. Development of Fetal Movement between 26 and 36-Weeks' Gestation in Response to Vibro-Acoustic Stimulation

    E-Print Network [OSTI]

    Grant-Beuttler, Marybeth; Glynn, Laura M.; Salisbury, Amy L.; Davis, Elysia Poggi; Holliday, Carol; Sandman, Curt A.

    2011-01-01T23:59:59.000Z

    Hum. Dev. 84, 433–439. Buss, C. , Davis, E. P. , Class, Q.85, 633–638. Class, Q. A. , Buss, C. , Davis, E. P. , Gier-Bernardes et al. , 2008; Buss et al. , 2009) in light of

  16. Frequency tracking and parameter estimation for robust quantum state estimation

    SciTech Connect (OSTI)

    Ralph, Jason F. [Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool L69 3GJ (United Kingdom); Jacobs, Kurt [Department of Physics, University of Massachusetts at Boston, 100 Morrissey Blvd, Boston, Massachusetts 02125 (United States); Hill, Charles D. [Centre for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Victoria 3010 (Australia)

    2011-11-15T23:59:59.000Z

    In this paper we consider the problem of tracking the state of a quantum system via a continuous weak measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small error in the assumed Hamiltonian can render this approach useless. The natural answer to this problem is to include the parameters of the Hamiltonian as part of the estimation problem, and the full Bayesian solution to this task provides a state estimate that is robust against uncertainties. However, this approach requires considerable computational overhead. Here we consider a single qubit in which the Hamiltonian contains a single unknown parameter. We show that classical frequency estimation techniques greatly reduce the computational overhead associated with Bayesian estimation and provide accurate estimates for the qubit frequency.

  17. CONTAMINATED SOIL VOLUME ESTIMATE TRACKING METHODOLOGY

    SciTech Connect (OSTI)

    Durham, L.A.; Johnson, R.L.; Rieman, C.; Kenna, T.; Pilon, R.

    2003-02-27T23:59:59.000Z

    The U.S. Army Corps of Engineers (USACE) is conducting a cleanup of radiologically contaminated properties under the Formerly Utilized Sites Remedial Action Program (FUSRAP). The largest cost element for most of the FUSRAP sites is the transportation and disposal of contaminated soil. Project managers and engineers need an estimate of the volume of contaminated soil to determine project costs and schedule. Once excavation activities begin and additional remedial action data are collected, the actual quantity of contaminated soil often deviates from the original estimate, resulting in cost and schedule impacts to the project. The project costs and schedule need to be frequently updated by tracking the actual quantities of excavated soil and contaminated soil remaining during the life of a remedial action project. A soil volume estimate tracking methodology was developed to provide a mechanism for project managers and engineers to create better project controls of costs and schedule. For the FUSRAP Linde site, an estimate of the initial volume of in situ soil above the specified cleanup guidelines was calculated on the basis of discrete soil sample data and other relevant data using indicator geostatistical techniques combined with Bayesian analysis. During the remedial action, updated volume estimates of remaining in situ soils requiring excavation were calculated on a periodic basis. In addition to taking into account the volume of soil that had been excavated, the updated volume estimates incorporated both new gamma walkover surveys and discrete sample data collected as part of the remedial action. A civil survey company provided periodic estimates of actual in situ excavated soil volumes. By using the results from the civil survey of actual in situ volumes excavated and the updated estimate of the remaining volume of contaminated soil requiring excavation, the USACE Buffalo District was able to forecast and update project costs and schedule. The soil volume tracking methodology helped the USACE Buffalo District track soil quantity changes from projected excavation work over time and across space, providing the basis for an explanation of some of the project cost and schedule variances.

  18. Development of a mobile laboratory for analyses at uranium cleanup sites resulting in significant time and cost savings

    SciTech Connect (OSTI)

    Bianconi, J. [RUST Federal Services, Inc., Albuquerque, NM (United States)

    1994-12-31T23:59:59.000Z

    A mobile laboratory was developed for the analysis of {sup 230}Th in soil at Department of Energy (DOE) Uranium Mill Tailings Remedial Action (UMTRA) sites to speed sample turnaround time and reduce the cost of using commercial laboratories. The laboratory utilizes recent developments in microwave acid dissolution, nuclide-specific extraction with extractive scintillators, and liquid scintillation alpha spectrometry to give results with an estimated minimum detectable concentration of 52 Bq kg{sup -1} (1.4 pCi g{sup -1}) for a 300-s count using a 1-g sample. The analysis time for {sup 230}Th is 16 h for eight samples, excluding quality control samples, at a cost of approximately $30 per sample. No significant additional time or costs are incurred by performing uranium analysis. As a result savings of up to $40,000 per week can be realized on the UMTRA project.

  19. Photo of the Week: Mapping the Link between Invasive Plants and...

    Office of Environmental Management (EM)

    study the interaction of wind energy, electric vehicle charging and grid technology. The turbine is also estimated to offset more than 10 metric tons of greenhouse gas emissions...

  20. Examples of Cost Estimation Packages

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

    1997-03-28T23:59:59.000Z

    Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

  1. Structures, Molecular Descriptors, Model Development and Biopharmaceutical Property Estimation

    E-Print Network [OSTI]

    Bolger, Michael

    2006-10-26T23:59:59.000Z

    Cross-section Outlet Bile Guide wire Balloon Inlet Jejunal perfusion Bile Balloon Balloon Lennernas, H, et al. Pharm. Res. 9:1243-1251 (1992) Loc-I-Gut Perfusion GPEN Kansas 2006 Epithelial Cell Permeability Assay Li, A.P., DDT, 6(7):339-348 8 GPEN... Thermodynamic solubility at a known pH. Molecule could be ionized 0% - 100%. ? HTS-turbidity: (Rank order of solubility only) ? Precipitation of molecule from solution in organic solvent by adding pH 7 buffer. Hendriksen BA, Sanchez MF, and Bolger MB: (2003...

  2. Development of the Potential Energy Savings Estimation (PESE) Toolkit 

    E-Print Network [OSTI]

    Liu, J.; Baltazar, J. C.; Claridge, D. E.

    2010-01-01T23:59:59.000Z

    . 3) Up to five optimization parameters are included. The user can decide which ones to activate for optimization depending on the system configuration (e.g. pneumatic control or DDC control, availability of a flow sensor for outside air intake...

  3. Geotechnical studies associated with decommissioning the strategic petroleum reserve facility at Weeks Island, Louisiana: A case history

    SciTech Connect (OSTI)

    Bauer, S.J.; Ehgartner, B.L.; Neal, J.T. [Sandia National Labs., Albuquerque, NM (United States). Underground Storage Technology

    1997-05-01T23:59:59.000Z

    The first sinkhole at the Weeks Island Strategic Petroleum Reserve (SPR) site was initially observed in May 1992. Concurrent with the increasing dissolution of salt over the mined oil storage area below, it has gradually enlarged and deepened. Beginning in 1994 and continuing to the present, the injection of saturated brine directly into the sinkhole throat some 76 m beneath the ground surface essentially arrested further dissolution, providing time to make adequate preparation for the safe and orderly transfer of crude oil to other storage facilities. This mitigation measure marked the first time that such a control procedure has been used in salt mining; previously all control has been achieved by either in-mine or from-surface grouting. A second and much smaller sinkhole was noticed in early 1995 on an opposite edge of the SPR mine, but with a very similar geological and mine mechanics setting. Both sinkholes occur where the edges of upper 152 m and lower 213 m mined storage levels are nearly vertically aligned. Such coincidence maximizes the tensional stress development, leading to fracturing in the salt. This cracking takes 20 or more years to develop. The cracks then become flow paths for brine incursion, which after time progress into the mined openings. Undersaturated ground water gradually enlarges the cracks in salt through dissolution, leading to eventual collapse of the overlying sand to form sinkholes. Other geologic conditions may also be secondary factors in controlling both mining extent and sinkhole location.

  4. A Layered Architecture for Describing Information System Development Methodologies

    E-Print Network [OSTI]

    Han, Jun

    of the development process such as requirements engineering, while others cover the whole system development life cycle. Some include project management and estimation techniques while others focus only

  5. Parallel State Estimation Assessment with Practical Data

    SciTech Connect (OSTI)

    Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu

    2013-07-31T23:59:59.000Z

    This paper presents a parallel state estimation (PSE) implementation using a preconditioned gradient algorithm and an orthogonal decomposition-based algorithm. The preliminary tests against a commercial Energy Management System (EMS) State Estimation (SE) tool using real-world data are performed. The results show that while the precondition gradient algorithm can solve the SE problem quicker with the help of parallel computing techniques, it might not be good for real-world data due to the large condition number of gain matrix introduced by the wide range of measurement weights. With the help of PETSc package and considering one iteration of the SE process, the orthogonal decomposition-based PSE algorithm can achieve 5-20 times speedup comparing against the commercial EMS tool. It is very promising that the developed PSE can solve the SE problem for large power systems at the SCADA rate, to improve grid reliability.

  6. Iterative Spatial Sequence Estimator for Multi-Group Space Time Trellis Coded Systems

    E-Print Network [OSTI]

    Al-Ghadhban, Samir

    Iterative Spatial Sequence Estimator for Multi-Group Space Time Trellis Coded Systems Samir Al. The developed detector is called maximum a posteriori spatial sequence estimator and it has the flexibility. A novel spatial sequence estimator (SSE) for V-BLAST is proposed in [4]. The algorithm combines group

  7. K.K. Gan ATLAS Pixel Week 1 New Results on Opto-Electronics

    E-Print Network [OSTI]

    Gan, K. K.

    with lower thresholds with BPM/DRX ] opto-board design is compatible with BPM/DRX PIN Current Thresholds with BPM/DRX 0 5 10 15 20 25 30 35 link#1 link#2 link#3 link#4 link#5 link#6 link#7 Ipin(mA) Opto-Board on Test Board Opto-Board on Test Board with BPM/DRX #12;K.K. Gan ATLAS Pixel Week 8 l one irradiated VCSEL

  8. Guide to Quit Smoking *Based on 52 weeks in a year.

    E-Print Network [OSTI]

    starts taking the pills a week or two before their quit date. How to Quit Set a Quit Date This gives you plan to use medicine to help you quit, make sure you know how to use them. Stock up on sugar-free gum--880000--QQUUIITT--NNOOWW Take Control Call. It's free. It works. It'll help you quit smoking. Breathe better Enjoy

  9. Photo of the Week: Alaska's Future in Renewable Energy | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPOPetroleum Reserves Vision,4 Photo of the Week:

  10. Final state of the Strategic Petroleum Reserve (SPR) Weeks Island Mine

    SciTech Connect (OSTI)

    MOLECKE,MARTIN A.

    2000-02-01T23:59:59.000Z

    This report documents the decommissioning and abandonment activities at the Weeks Island Strategic Petroleum Reserve (SPR) site, Iberia Parish, Louisiana, that were concluded in 1999. These activities required about six years of intense operational, engineering, geotechnical, and management support efforts, following initiation of site abandonment plans in 1994. The Weeks Island SPR mine stored about 72.5 million bbl of crude oil following oil fill in 1980--1982, until November 1995, when the DOE initiated oil drawdown procedures, with brine refill and oil skimming, and numerous plugging and sealing activities. About 98% of the crude oil was recovered and transferred to other SPR facilities in Louisiana and Texas; a small amount was also sold. This document summarizes recent pre- and post-closure: conditions of surface features at the site, including the sinkholes, the freeze wall, surface subsidence measurements and predictions; conditions within the SPR mine, including oil recovery, brine filling, and the Markel Wet Drift; risk assessment evaluations relevant to the decommissioning and long-term potential environmental impacts; continuing environmental monitoring activities at the site; and, an overview on the background and history of the Weeks Island SPR facility.

  11. Results of the Weeks Island Strategic Petroleum Reserve Oil Leak Risk Assessment Study

    SciTech Connect (OSTI)

    Molecke, M.A.; Hinkebein, T.E.; Bauer, S.J.; Linn, J.K.

    1999-01-01T23:59:59.000Z

    This study evaluated multiple, long-term environmental oil-contamination risk scenarios that could result from the potential leakage of UP to 1.5 million barrels of crude oil entombed in the Weeks Island SPR mine following site decommissioning and abandonment, and up to 100 years thereafter. This risk assessment also provides continuity with similar risk evaluations performed earlier and documented in the 1995 DOE Environmental Assessment for Decommissioning the Strategic Petroleum Reserve Weeks Island Facility (EA). This current study was requested by the DOE to help them determine if their previous Finding of No Significant Impact (FONSI), in the EA, is still valid or needs to be rescinded. Based on the calculated environmental risk results (in terms of clean-up and remediation expenses) presented in this risk assessment, including the calculated average likelihoods of oil release and potential oil-leakage volumes, none of the evaluated risk events would appear to satisfy the definition of significant environmental impact in National Environmental Policy Act (NEPA) terminology. The DOE may combine these current results with their earlier evaluations and interpretations in the 1995 EA in order to assess whether the existing FONSI is still accurate, acceptable, and valid. However, from a risk evaluation standpoint, the assessment of impacts appears to be the same whether only 10,000 to 30,000 barrels of crude oil (as considered in the 1995 EA), or up to 1.5 million barrels of oil (as considered herein) are abandoned in the Weeks Island SPR facility.

  12. REU 2011: SCHEDULE FOR WEEKS THREE AND FOUR Apprentice talks are in R251. Afternoon talks are in E206.

    E-Print Network [OSTI]

    May, J. Peter

    REU 2011: SCHEDULE FOR WEEKS THREE AND FOUR Apprentice talks are in R251. Afternoon talks are in E206. THIRD WEEK: Date YSP Babai Babai May/Riehl Constantine Weare McReynolds Apprentice Problems Alg/Riehl Constantine Weare McReynolds Apprentice Problems Alg/Top/Cat Geometry Probability R251 R251 E206 E206 E206 Mon

  13. REU 2012: SCHEDULE FOR WEEKS FIVE AND SIX Morning talks are in R251. Afternoon talks are in R276

    E-Print Network [OSTI]

    May, J. Peter

    and other topics. FIFTH WEEK: Date Apprentice Probability Geometry Number theory Math Bio Topology, etc:00­4:30 * TTh afternoon apprentice times are for problem sessions. All participants in the apprentice program: FIFTH WEEK: Laci Babai. Apprentice. 9:30­12:00 MWF, 11:00­12:00 TTh Apprentice problem sessions. 4

  14. Estimation of food consumption. Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    Callaway, J.M. Jr.

    1992-04-01T23:59:59.000Z

    The research reported in this document was conducted as a part of the Hanford Environmental Dose Reconstruction (HEDR) Project. The objective of the HEDR Project is to estimate the radiation doses that people could have received from operations at the Hanford Site. Information required to estimate these doses includes estimates of the amounts of potentially contaminated foods that individuals in the region consumed during the study period. In that general framework, the objective of the Food Consumption Task was to develop a capability to provide information about the parameters of the distribution(s) of daily food consumption for representative groups in the population for selected years during the study period. This report describes the methods and data used to estimate food consumption and presents the results developed for Phase I of the HEDR Project.

  15. Multidimentional Poverty in Bhutan: Estimates and Policy Implications

    E-Print Network [OSTI]

    Santos, Maria Emma; Ura, Karma

    2008-01-01T23:59:59.000Z

    Multidimensional Poverty in Bhutan: Estimates and Policy Implications Maria Emma Santos* and Karma Ura** Abstract This paper estimates multidimensional poverty in Bhutan applying a recently developed methodology by Alkire and Foster (2007... Investigaciones Cientificas y Tecnicas (CONICET)-Universidad Nacional del Sur, Argentina. ** President, The Centre for Bhutan Studies, Thimphu. Journal of Bhutan Studies 2 1. Introduction Fostered by Sen’s (1985, 1990, 1999) pioneering ‘capability...

  16. Photogrammetry and Laser Imagery Tests for Tank Waste Volume Estimates: Summary Report

    SciTech Connect (OSTI)

    Field, Jim G. [Washington River Protection Solutions, LLC, Richland, WA (United States)

    2013-03-27T23:59:59.000Z

    Feasibility tests were conducted using photogrammetry and laser technologies to estimate the volume of waste in a tank. These technologies were compared with video Camera/CAD Modeling System (CCMS) estimates; the current method used for post-retrieval waste volume estimates. This report summarizes test results and presents recommendations for further development and deployment of technologies to provide more accurate and faster waste volume estimates in support of tank retrieval and closure.

  17. Transport-constrained extensions of collision and track length estimators for solutions of radiative transport problems

    SciTech Connect (OSTI)

    Kong, Rong, E-mail: kongr413@yahoo.com [Veros Software Inc., 2333 N. Broadway, Santa Ana, CA 92706 (United States)] [Veros Software Inc., 2333 N. Broadway, Santa Ana, CA 92706 (United States); Spanier, Jerome, E-mail: jspanier@uci.edu [Beckman Laser Institute and Medical Clinic, 1002 Health Science Road E., University of California, Irvine, CA 92612 (United States)] [Beckman Laser Institute and Medical Clinic, 1002 Health Science Road E., University of California, Irvine, CA 92612 (United States)

    2013-06-01T23:59:59.000Z

    In this paper we develop novel extensions of collision and track length estimators for the complete space-angle solutions of radiative transport problems. We derive the relevant equations, prove that our new estimators are unbiased, and compare their performance with that of more conventional estimators. Such comparisons based on numerical solutions of simple one dimensional slab problems indicate the the potential superiority of the new estimators for a wide variety of more general transport problems.

  18. Parameter Estimation from an Optimal Projection in a Local Environment

    E-Print Network [OSTI]

    A. Bijaoui; A. Recio-Blanco; P. de Laverny

    2008-11-03T23:59:59.000Z

    The parameter fit from a model grid is limited by our capability to reduce the number of models, taking into account the number of parameters and the non linear variation of the models with the parameters. The Local MultiLinear Regression (LMLR) algorithms allow one to fit linearly the data in a local environment. The MATISSE algorithm, developed in the context of the estimation of stellar parameters from the Gaia RVS spectra, is connected to this class of estimators. A two-steps procedure was introduced. A raw parameter estimation is first done in order to localize the parameter environment. The parameters are then estimated by projection on specific vectors computed for an optimal estimation. The MATISSE method is compared to the estimation using the objective analysis. In this framework, the kernel choice plays an important role. The environment needed for the parameter estimation can result from it. The determination of a first parameter set can be also avoided for this analysis. These procedures based on a local projection can be fruitfully applied to non linear parameter estimation if the number of data sets to be fitted is greater than the number of models.

  19. Measurement enhancement for state estimation

    E-Print Network [OSTI]

    Chen, Jian

    2009-05-15T23:59:59.000Z

    in the power system. A robust state estimation should have the capability of keeping the system observable during different contingencies, as well as detecting and identifying the gross errors in measurement set and network topology. However, this capability...

  20. Estimation of resources and reserves

    E-Print Network [OSTI]

    Massachusetts Institute of Technology. Energy Laboratory.

    1982-01-01T23:59:59.000Z

    This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

  1. Motion Estimation from Disparity Images

    E-Print Network [OSTI]

    Demirdjian, D.

    2001-05-07T23:59:59.000Z

    A new method for 3D rigid motion estimation from stereo is proposed in this paper. The appealing feature of this method is that it directly uses the disparity images obtained from stereo matching. We assume that the stereo ...

  2. IMAGES IN EMBRYOLOGY............................................................................ Development of the human heart: days 1521

    E-Print Network [OSTI]

    Boyer, Edmond

    ............................................................................ Development of the human heart: days 15­21 I n this series, three dimensional computer graphics are used to present the anatomical structures involved in the different stages of normal human heart development visit: www.virtual-heart- development.univ-rennes1.fr During the third week of gestation (days 15

  3. Variables Affecting Economic Development of Wind Energy

    SciTech Connect (OSTI)

    Lantz, E.; Tegen, S.

    2008-07-01T23:59:59.000Z

    NREL's JEDI Wind model performed an analysis of wind-power-related economic development drivers. Economic development benefits for wind and coal were estimated using NREL's JEDI Wind and JEDI Coal models.

  4. A Bayesian Framework for Combining Valuation Estimates

    E-Print Network [OSTI]

    Kenton K. Yee

    2007-07-24T23:59:59.000Z

    Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.

  5. A Bayesian Framework for Combining Valuation Estimates

    E-Print Network [OSTI]

    Yee, Kenton K

    2007-01-01T23:59:59.000Z

    Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.

  6. arXiv:1205.1150v3[math.ST]31May2013 Estimating Omissions from Searches

    E-Print Network [OSTI]

    -recapture method was devised by Petersen in 1896 to estimate the number of fish migrating into the Limfjord was independently developed by Petersen (1896) to estimate fish numbers migrating between the German sea

  7. Automated Weekly Replanning for Intensity-Modulated Radiotherapy of Cervix Cancer

    SciTech Connect (OSTI)

    Stewart, James [Radiation Medicine Program, Princess Margaret Hospital/Ontario Cancer Institute, University Health Network, Toronto, ON (Canada); Lim, Karen; Kelly, Valerie [Radiation Medicine Program, Princess Margaret Hospital/Ontario Cancer Institute, University Health Network, Toronto, ON (Canada); Department of Radiation Oncology, University of Toronto, Toronto, ON (Canada)

    2010-10-01T23:59:59.000Z

    Purpose: The adoption of intensity-modulated radiotherapy (IMRT) to treat cervical malignancies has been limited in part by complex organ and tumor motion during treatment. This study explores the limits of a highly adaptive, small-margin treatment scenario to accommodate this motion. In addition, the dosimetric consequences of organ and tumor motion are modeled using a combination of deformable registration and fractional dose accumulation techniques. Methods and Materials: Thirty-three cervix cancer patients had target volumes and organs-at-risk contoured on fused, pretreatment magnetic resonance-computed tomography images and weekly magnetic resonance scans taken during treatment. The dosimetric impact of interfraction organ and target motion was compared for two hypothetical treatment scenarios: a 3-mm margin plan with no replanning, and a 3-mm margin plan with an automated replan performed on the updated weekly patient geometry. Results: Of the 33 patients, 24 (73%) met clinically acceptable target coverage (98% of the clinical target volume receiving at least 95% of the prescription dose) using the 3-mm margin plan without replanning. The range in dose to 98% of the clinical target volume across all patients was 7.9% of the prescription dose if no replanning was performed. After weekly replanning, this range was tightened to 2.6% of the prescription dose and all patients met clinically acceptable target coverage while maintaining organ-at-risk dose sparing. Conclusions: The dosimetric impact of anatomical motion underscores the challenges of applying IMRT to treat cervix cancer. An appropriate adaptive strategy can ensure target coverage for small-margin IMRT treatments and maintain favorable organ-at-risk dose sparing.

  8. Near-surface gas mapping studies of salt geologic features at Weeks Island and other sites

    SciTech Connect (OSTI)

    Molecke, M.A. [Sandia National Lab., Albuquerque, NM (United States); Carney, K.R.; Autin, W.J.; Overton, E.B. [Louisiana State Univ., Baton Rouge, LA (United States)

    1996-10-01T23:59:59.000Z

    Field sampling and rapid gas analysis techniques were used to survey near-surface soil gases for geotechnical diagnostic purposes at the Weeks Island Strategic Petroleum Reserve (SPR) site and other salt dome locations in southern Louisiana. This report presents the complete data, results and interpretations obtained during 1995. Weeks Island 1994 gas survey results are also briefly summarized; this earlier study did not find a definitive correlation between sinkhole No. 1 and soil gases. During 1995, several hundred soil gas samples were obtained and analyzed in the field by gas chromatography, for profiling low concentrations and gas anomalies at ppm to percent levels. The target gases included hydrogen, methane, ethane and ethylene. To supplement the field data, additional gas samples were collected at various site locations for laboratory analysis of target gases at ppb levels. Gases in the near-surface soil originate predominantly from the oil, from petrogenic sources within the salt, or from surface microbial activity. Surveys were conducted across two Weeks Island sinkholes, several mapped anomalous zones in the salt, and over the SPR repository site and its perimeter. Samples were also taken at other south Louisiana salt dome locations for comparative purposes. Notable results from these studies are that elevated levels of hydrogen and methane (1) were positively associated with anomalous gassy or shear zones in the salt dome(s) and (2) are also associated with suspected salt fracture (dilatant) zones over the edges of the SPR repository. Significantly elevated areas of hydrogen, methane, plus some ethane, were found over anomalous shear zones in the salt, particularly in a location over high pressure gas pockets in the salt, identified in the mine prior to SPR operations. Limited stable isotope ratio analyses, SIRA, were also conducted and determined that methane samples were of petrogenic origin, not biogenic.

  9. Data Polling Routine (PlotHood) to Generate Weekly Inspection Plots for Fort Hood, Texas

    E-Print Network [OSTI]

    Saman, N. F.; Reddy, T. A.; Haberl, J. S.; Claridge, D. E.; Turner, W. D.

    1996-01-01T23:59:59.000Z

    . For this part of the project, a weather station that includes temperature, humidity and solar sensors was installed at the west substation of Ft. Hood as part of Phase I of this project. Weekly inspection plots of electricity use at the main substation of Ft...-Phase II, p. ii TABLE OF CONTENTS General Abstract i Disclaimer iii Acknowledgments iv Provide Data Polling and Inspection Plots Generation Routine (PlotHood) Executive Summary 2 Existing Monitoring System 3 a- ESL Weather Station at the West Substation. 3...

  10. Update of assessment of geotechnical risks, strategic petroleum reserve, Weeks Island site

    SciTech Connect (OSTI)

    Bauer, S.J. [ed.

    1994-12-01T23:59:59.000Z

    This report is a critical reassessment of the geotechnical risks of continuing oil storage at the Weeks Island Strategic Petroleum Reserve site. It reviews all previous risk abatement recommendations, subsequent mitigative actions, and new information. Of increased concern, due to the discovery of a surface levels, is the long term maintainability of the mine as an oil storage repository. Mine operational changes are supported in order to facilitate monitoring of water entry diagnostics. These changes are also intended to minimize the volume in the mine available for water entry. Specific recommendations are made to implement the mine changes.

  11. Photo of the Week: Improving Power Plant Technology... in 3-D | Department

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHA Administrative Judgea. Part B 1Departmentof Energy This week,

  12. Photo of the Week: Argonne's 10 kW Wind Turbine | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPOPetroleum Reserves Vision,4 Photo of the Week:Argonne's

  13. Photo of the Week: Pre-PET Headgear | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in235-1 TermoelectricaPavingPerry LuksinPhoenix,SuperPhoto of the Week:

  14. EIA-802, Weekly Product Pipeline Report Page 1 U. S. ENERGY INFORMATION ADMINISTRATION

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name: Email: Terminal Control EIA-802, Weekly

  15. EIA-803, Weekly Crude Oil Stocks Report Page 1 U. S. ENERGY INFORMATION ADMINISTRATION

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name: Email: Terminal Control EIA-802, Weekly3,

  16. Photo of the Week: The 2014 National Science Bowl | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently Asked QuestionsDepartmentGas and| DepartmentPhoenix,Photo of the Week: The 2014

  17. Quick Estimate of IRR From Capital Estimate Ratios

    E-Print Network [OSTI]

    Larson, R. J.

    specific problem. However, the derivation is simple enough so that a new chart can be derived, using the principles described, which is applicable to a specific situation or class of situations. Using conventional Discounted Cash Flow techniques... of the use of this chart is as follows: The estimate capital to carry out a proj ct is $24,000. The estimated savings to be experienced n the first year of operation is $11,300. 21 ESL-IE-85-05-05 Proceedings from the Seventh National Industrial Energy...

  18. NNWSI waste form performance test development

    SciTech Connect (OSTI)

    Bates, J.K.; Gerding, T.J.

    1984-12-31T23:59:59.000Z

    A test method has been developed to measure the release of radionuclides from the waste package under simulated NNWSI repository conditions, and to provide information concerning materials interactions that may occur in the repository. Data from 13 weeks of unsaturated testing are discussed and compared to that from a 13-week analog test. The data indicate that the waste form test is capable of producing consistent, reproducible results that will be useful in evaluating the role of the waste in the long-term performance of the repository. 6 references, 3 figures.

  19. Weldon Spring historical dose estimate

    SciTech Connect (OSTI)

    Meshkov, N.; Benioff, P.; Wang, J.; Yuan, Y.

    1986-07-01T23:59:59.000Z

    This study was conducted to determine the estimated radiation doses that individuals in five nearby population groups and the general population in the surrounding area may have received as a consequence of activities at a uranium processing plant in Weldon Spring, Missouri. The study is retrospective and encompasses plant operations (1957-1966), cleanup (1967-1969), and maintenance (1969-1982). The dose estimates for members of the nearby population groups are as follows. Of the three periods considered, the largest doses to the general population in the surrounding area would have occurred during the plant operations period (1957-1966). Dose estimates for the cleanup (1967-1969) and maintenance (1969-1982) periods are negligible in comparison. Based on the monitoring data, if there was a person residing continually in a dwelling 1.2 km (0.75 mi) north of the plant, this person is estimated to have received an average of about 96 mrem/yr (ranging from 50 to 160 mrem/yr) above background during plant operations, whereas the dose to a nearby resident during later years is estimated to have been about 0.4 mrem/yr during cleanup and about 0.2 mrem/yr during the maintenance period. These values may be compared with the background dose in Missouri of 120 mrem/yr.

  20. Estimating Externalities of Hydro Fuel Cycles, Report 6

    SciTech Connect (OSTI)

    Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

    1994-12-01T23:59:59.000Z

    There are three major objectives of this hydropower study: (1) to implement the methodological concepts that were developed in the background document (ORNL/RFF 1992) as a means of estimating the external costs and benefits of fuel cycles and, by so doing, to demonstrate their application to the hydroelectric fuel cycle (different fuel cycles have unique characteristics that need to be addressed in different ways); (2) to develop, given the time and resources, the best range of estimates of externalities associated with hydroelectric projects, using two benchmark projects at two reference sites in the US; and (3) to assess the state of the information that is available to support the estimation of externalities associated with the hydroelectric fuel cycle and, by so doing, to assist in identifying gaps in knowledge and in setting future research agendas. The main consideration in defining these objectives was a desire to have more information about externalities and a better method for estimating them. As set forth in the agreement between the US and the EC, the study is explicitly and intentionally not directed at any one audience. This study is about a methodology for estimating externalities. It is not about how to use estimates of externalities in a particular policy context.

  1. Health-hazard evaluation report HETA 88-391-2156, Morton Salt Company, Weeks Island, Louisiana

    SciTech Connect (OSTI)

    Ferguson, R.P.; Knutti, E.B.

    1991-11-01T23:59:59.000Z

    In response to a request from the International Chemical Workers Union, project director, an evaluation was undertaken of possible hazardous working conditions at the Morton Salt Company (SIC-1479), Weeks Island, Louisiana. At Weeks Island the salt was mined from large domes, circular in shape and from a few hundred yards to a mile across. The only detectable overexposures in the mining operation were to coal-tar pitch volatiles. None of the 20 personal breathing zone and area air samples collected in the mill were above detectable limits for asbestos (1332214). The prevalences of chronic cough and chronic phlegm reported were statistically different, exceeding those reported by a group of nonexposed blue collar workers. Chronic symptoms were reported by underground workers in all smoking categories, but only by those surface workers who also smoked. There were more complaints about eye irritation and tearing of the eyes in the underground workers, consistent with diesel byproduct exposure. Four workers were identified through pulmonary function test results with mild obstructive lung disease and one with moderate obstructive lung disease. Three workers with mild restriction of lung volume were noted. None of the 61 chest films taken read positively for pneumoconiosis. The authors conclude that overexposures to coal-tar pitch volatiles existed at the time of the survey. The authors recommend measures for reducing occupational exposures to workplace contaminants. A follow up medical questionnaire survey should be conducted.

  2. Hydrogen Production Cost Estimate Using Biomass Gasification...

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

    Cost Estimate Using Biomass Gasification: Independent Review Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review This independent review is the...

  3. Hydrogen Production Cost Estimate Using Biomass Gasification

    E-Print Network [OSTI]

    Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory Panel, Hydrogen Production Cost Estimate Using Biomass Gasification To: Mr. Mark Ruth, NREL, DOE

  4. Adjusted Estimates of Texas Natural Gas Production

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

    1 Energy Information Administration Adjusted Estimates of Texas Natural Gas Production Background The Energy Information Administration (EIA) is adjusting its estimates of natural...

  5. Optical Flow Estimation versus Motion Estimation Draft: Anita Sellent

    E-Print Network [OSTI]

    Heermann, Dieter W.

    . In the proposed challenge we aim to estimate the physical motion of objects. In industrial applications in the Camera System In industrial applications, sufficient illumination cannot always be provided. This can in the path of a robot or the trajectories of objects [7,12,13,17]. Video cameras provide information

  6. Welcome to this week's edition of Friday marks the first day of summer! In spite of the heat,

    E-Print Network [OSTI]

    Weber, David J.

    Welcome to this week's edition of Friday marks the first day of summer! In spite of the heat, we and offers the potential for functional recovery from injuries and diseases of the adult brain. Finally

  7. Two-Week Internship: The student must complete the following 5 components related to patient care. Depending on the

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Two-Week Internship: The student must complete the following 5 components related to patient care of the internship. * Other forms include: Generic Abilities, APTA Evaluation of Facility and CI, Student Objectives

  8. Recovery Act Weekly Video: 200 Area Asbestos Removal, U-Ancillary Demolition, 200 West Transfer Building Footings

    ScienceCinema (OSTI)

    None

    2012-06-14T23:59:59.000Z

    A weekly update of the Recovery Act at work. Demolition of U-Ancillary that was contaminated with uranium and asbestos as well as removing asbestos from the Steam Generation Plant in the 200 East Area.

  9. Recovery Act Weekly Video: 200 Area Asbestos Removal, U-Ancillary Demolition, 200 West Transfer Building Footings

    SciTech Connect (OSTI)

    None

    2010-01-01T23:59:59.000Z

    A weekly update of the Recovery Act at work. Demolition of U-Ancillary that was contaminated with uranium and asbestos as well as removing asbestos from the Steam Generation Plant in the 200 East Area.

  10. Power Supply Status Quotes received for Op Amps 20 Op amps will be purchased (2 spares). 21 week

    E-Print Network [OSTI]

    McDonald, Kirk

    Power Supply Status Quotes received for Op Amps ­ 20 Op amps will be purchased (2 spares). 21 week system for use in power supply control system. ­ Evidently they are the same. Cryo Foam/Insulation Status

  11. M. Bahrami ENSC 283 Tutorial # 8 1 ENSC 283 Week # 12, Tutorial # 8 Flow in an Irrigation System

    E-Print Network [OSTI]

    Bahrami, Majid

    M. Bahrami ENSC 283 Tutorial # 8 1 ENSC 283 Week # 12, Tutorial # 8 ­ Flow in an Irrigation System Problem: Spray heads in an agricultural spraying system are to be supplied with water through 50 of drawn

  12. Seeds may be started in peat pots; they are slow to germinate (up to three weeks indoors),

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    Seeds may be started in peat pots; they are slow to germinate (up to three weeks indoors), so in peat pots; they are slow to germinate, so be patient. Seedlings may be transplanted in June. Crowns

  13. Estimating long-term mean winds from short-term wind data

    SciTech Connect (OSTI)

    Barchet, W.R.; Davis, W.E.

    1983-08-01T23:59:59.000Z

    The estimation of long-term mean winds from short-term data is especially important in the area of wind energy. It is desirable to obtain reliable estimates of the long-term wind speed from as short a period of on-site measurements as possible. This study examined seven different methods of estimating the long-term average wind speed and compared the performance of these techniques. Three linear, three weather pattern, and one eigenvector methods were compared for measurement periods ranging from 3 months to 36 months. Average errors, both relative and absolute, and the rms errors in the techniques were determined. The best technique for less than 12 months of measurement was the eigenvector method using weekly mean wind speeds. However, this method was only slightly better than the linear adjusted method. When 12 or more months of data were used, the difference in errors between techniques was found to be slight.

  14. Enhancement of satellite precipitation estimation via unsupervised dimensionality reduction

    SciTech Connect (OSTI)

    Mahrooghy, Majid [Mississippi State University (MSU); Younan, Nicolas H. [Mississippi State University (MSU); Anantharaj, Valentine G [ORNL; Aanstoos, James [Mississippi State University (MSU)

    2012-01-01T23:59:59.000Z

    A methodology to enhance Satellite Precipitation Estimation (SPE) using unsupervised dimensionality reduction (UDR) techniques is developed. This enhanced technique is an extension to the Precipitation Estimation from Remotely Sensed Imagery using an Artificial Neural Network (PERSIANN) and Cloud Classification System (CCS) method (PERSIANN-CCS) enriched using wavelet features combined with dimensionality reduction. Cloud-top brightness temperature measurements from Geostationary Operational Environmental Satellite (GOES-12) are used for precipitation estimation at 4 km 4 km spatial resolutions every 30 min. The study area in the continental United States covers parts of Louisiana, Arkansas, Kansas, Tennessee, Mississippi, and Alabama. Based on quantitative measures, root mean square error (RMSE) and Heidke skill score (HSS), the results show that the UDR techniques can improve the precipitation estimation accuracy. In addition, ICA is shown to have better performance than other UDR techniques; and in some cases, it achieves 10% improvement in the HSS.

  15. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    SciTech Connect (OSTI)

    Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet

    2011-09-15T23:59:59.000Z

    We assess developable on-shore wind potential in India at three different hub-heights and under two sensitivity scenarios – one with no farmland included, the other with all farmland included. Under the “no farmland included” case, the total wind potential in India ranges from 748 GW at 80m hub-height to 976 GW at 120m hub-height. Under the “all farmland included” case, the potential with a minimum capacity factor of 20 percent ranges from 984 GW to 1,549 GW. High quality wind energy sites, at 80m hub-height with a minimum capacity factor of 25 percent, have a potential between 253 GW (no farmland included) and 306 GW (all farmland included). Our estimates are more than 15 times the current official estimate of wind energy potential in India (estimated at 50m hub height) and are about one tenth of the official estimate of the wind energy potential in the US.

  16. Agricultural Sciences for Global Development

    E-Print Network [OSTI]

    Agricultural Sciences for Global Development ­ SLU's contribution Research Capacity building Provision of expertise The mission of the Swedish University of Agricultural Sciences (SLU) is "to develop in rural areas, and agriculture plays an essential role in their livelihoods. Nevertheless, FAO estimates

  17. Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates

    SciTech Connect (OSTI)

    Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

    2012-12-01T23:59:59.000Z

    The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energy’s (DOE’s) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

  18. An Improved Cluster Richness Estimator

    SciTech Connect (OSTI)

    Rozo, Eduardo; /Ohio State U.; Rykoff, Eli S.; /UC, Santa Barbara; Koester, Benjamin P.; /Chicago U. /KICP, Chicago; McKay, Timothy; /Michigan U.; Hao, Jiangang; /Michigan U.; Evrard, August; /Michigan U.; Wechsler, Risa H.; /SLAC; Hansen, Sarah; /Chicago U. /KICP, Chicago; Sheldon, Erin; /New York U.; Johnston, David; /Houston U.; Becker, Matthew R.; /Chicago U. /KICP, Chicago; Annis, James T.; /Fermilab; Bleem, Lindsey; /Chicago U.; Scranton, Ryan; /Pittsburgh U.

    2009-08-03T23:59:59.000Z

    Minimizing the scatter between cluster mass and accessible observables is an important goal for cluster cosmology. In this work, we introduce a new matched filter richness estimator, and test its performance using the maxBCG cluster catalog. Our new estimator significantly reduces the variance in the L{sub X}-richness relation, from {sigma}{sub lnL{sub X}}{sup 2} = (0.86 {+-} 0.02){sup 2} to {sigma}{sub lnL{sub X}}{sup 2} = (0.69 {+-} 0.02){sup 2}. Relative to the maxBCG richness estimate, it also removes the strong redshift dependence of the richness scaling relations, and is significantly more robust to photometric and redshift errors. These improvements are largely due to our more sophisticated treatment of galaxy color data. We also demonstrate the scatter in the L{sub X}-richness relation depends on the aperture used to estimate cluster richness, and introduce a novel approach for optimizing said aperture which can be easily generalized to other mass tracers.

  19. Efficient Power System State Estimation

    E-Print Network [OSTI]

    Lavaei, Javad

    monitoring of power systems. 2. Background Power systems have four main components: transmission, sub-transmissionEfficient Power System State Estimation Zafirah Baksh Expected BS, Department of Electrical Engineering May 2013 ELEN E4511 Power Systems Analysis Professor Javad Lavaeiyanesi #12;1. Introduction Power

  20. Empirical Bayes Estimation of Reliability

    E-Print Network [OSTI]

    Pensky, Marianna

    types of equipment relies on statistical inference about char- acteristics of reliabilityEmpirical Bayes Estimation of Reliability Introduction Assessment of the reliability of various such as reliability function, mean lifetime of the devices, or failure rate. Gen- eral techniques of statistical