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1

NGNP: High Temperature Gas-Cooled Reactor Key Definitions, Plant Capabilities, and Assumptions  

SciTech Connect

This document provides key definitions, plant capabilities, and inputs and assumptions related to the Next Generation Nuclear Plant to be used in ongoing efforts related to the licensing and deployment of a high temperature gas-cooled reactor. These definitions, capabilities, and assumptions were extracted from a number of NGNP Project sources such as licensing related white papers, previously issued requirement documents, and preapplication interactions with the Nuclear Regulatory Commission (NRC).

Wayne Moe

2013-05-01T23:59:59.000Z

2

NGNP: High Temperature Gas-Cooled Reactor Key Definitions, Plant Capabilities, and Assumptions  

SciTech Connect

This document is intended to provide a Next Generation Nuclear Plant (NGNP) Project tool in which to collect and identify key definitions, plant capabilities, and inputs and assumptions to be used in ongoing efforts related to the licensing and deployment of a high temperature gas-cooled reactor (HTGR). These definitions, capabilities, and assumptions are extracted from a number of sources, including NGNP Project documents such as licensing related white papers [References 1-11] and previously issued requirement documents [References 13-15]. Also included is information agreed upon by the NGNP Regulatory Affairs group's Licensing Working Group and Configuration Council. The NGNP Project approach to licensing an HTGR plant via a combined license (COL) is defined within the referenced white papers and reference [12], and is not duplicated here.

Phillip Mills

2012-02-01T23:59:59.000Z

3

Science with the Square Kilometer Array: Motivation, Key Science Projects, Standards and Assumptions  

E-Print Network (OSTI)

The Square Kilometer Array (SKA) represents the next major, and natural, step in radio astronomical facilities, providing two orders of magnitude increase in collecting area over existing telescopes. In a series of meetings, starting in Groningen, the Netherlands (August 2002) and culminating in a `science retreat' in Leiden (November 2003), the SKA International Science Advisory Committee (ISAC), conceived of, and carried-out, a complete revision of the SKA science case (to appear in New Astronomy Reviews). This preface includes: (i) general introductory material, (ii) summaries of the key science programs, and (iii) a detailed listing of standards and assumptions used in the revised science case.

C. Carilli; S. Rawlings

2004-09-12T23:59:59.000Z

4

Preliminary Review of Models, Assumptions, and Key Data used in Performance Assessments and Composite Analysis at the Idaho National Laboratory  

SciTech Connect

This document is in response to a request by Ming Zhu, DOE-EM to provide a preliminary review of existing models and data used in completed or soon to be completed Performance Assessments and Composite Analyses (PA/CA) documents, to identify codes, methodologies, main assumptions, and key data sets used.

Arthur S. Rood; Swen O. Magnuson

2009-07-01T23:59:59.000Z

5

AEO Assumptions  

Gasoline and Diesel Fuel Update (EIA)

for the for the Annual Energy Outlook 1997 December 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Energy Information Administration/Assumptions for the Annual Energy Outlook 1997 Contents Page Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Commercial Demand Module . . . . . . . . . . . . . . . . . .

6

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

States. States. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes unconventional gas recovery from low permeability formations of sandstone and shale, and coalbeds. Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 93 Figure 7. Oil and Gas Supply Model Regions Source: Energy Information Administration, Office of Integrated Analysis and Forecasting. Report #:DOE/EIA-0554(2007) Release date: April 2007 Next release date: March 2008 Primary inputs for the module are varied. One set of key assumptions concerns estimates of domestic technically recoverable oil and gas resources. Other factors affecting the projection include the assumed

7

Annual Energy Outlook 96 Assumptions  

Gasoline and Diesel Fuel Update (EIA)

for for the Annual Energy Outlook 1996 January 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 1996 (AEO96). In this context, assumptions include general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports listed in the Appendix. 1 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview. The National Energy Modeling System The projections

8

EIA - Assumptions to the Annual Energy Outlook 2009 - Coal Market...  

Annual Energy Outlook 2012 (EIA)

of mining equipment, the cost of factor inputs (labor and fuel), and other mine supply costs. The key assumptions underlying the coal production modeling are: As capacity...

9

Assumptions to the Annual Energy Outlook 2013  

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

Introduction Introduction This page inTenTionally lefT blank 3 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S.

10

Assumptions  

Gasoline and Diesel Fuel Update (EIA)

to the to the Annual Energy Outlook 1998 December 1997 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Household Expenditures Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 Oil and Gas Supply Module

11

Assumptions  

Gasoline and Diesel Fuel Update (EIA)

1 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 Petroleum Market Module. . . . . . . . . . . . .

12

Assumptions to the Annual Energy Outlook - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumption to the Annual Energy Outlook Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20041 (AEO2004), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every two years. The National Energy Modeling System The projections in the AEO2004 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers in the U.S. Congress, the Administration, including DOE Program Offices, and other government agencies.

13

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect

This document is a composite of roadmap assumptions developed for the Idaho National Engineering Laboratory (INEL) by the US Department of Energy Idaho Field Office and subcontractor personnel as a key element in the implementation of the Roadmap Methodology for the INEL Site. The development and identification of these assumptions in an important factor in planning basis development and establishes the planning baseline for all subsequent roadmap analysis at the INEL.

Not Available

1993-05-01T23:59:59.000Z

14

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20031 (AEO2003), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2003 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy and International Affairs, other DOE offices, and other government agencies.

15

Assumptions to the Annual Energy Outlook 2013  

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

Macroeconomic Activity Module Macroeconomic Activity Module This page inTenTionally lefT blank 17 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents interactions between the U.S. economy and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP), is a key determinant of growth in the demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected

16

Assumptions to Annual Energy Outlook - Energy Information Administration  

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

Assumptions to AEO2013 Assumptions to AEO2013 Release Date: May 14, 2013 | Next Release Date: May 2014 | full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2013 [1] (AEO2013), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System Projections in the AEO2013 are generated using the NEMS, developed and maintained by the Office of Energy Analysis of the U.S. Energy Information Administration (EIA). In addition to its use in developing the Annual

17

Assumptions to Annual Energy Outlook - Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to AEO2012 Assumptions to AEO2012 Release Date: August 2, 2012 | Next Release Date: August 2013 | Full report Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2012 [1] (AEO2012), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in AEO2012 are generated using the NEMS, developed and maintained by the Office of Energy Analysis (OEA) of the U.S. Energy Information Administration (EIA). In addition to its use in developing the

18

The disciplined use of simplifying assumptions  

Science Conference Proceedings (OSTI)

Simplifying assumptions --- everyone uses them but no one's programming tool explicitly supports them. In programming, as in other kinds of engineering design, simplifying assumptions are an important method for dealing with complexity. Given a complex ...

Charles Rich; Richard C. Waters

1982-04-01T23:59:59.000Z

19

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2003, DOE/EIA-M060(2003) (Washington, DC, January 2003). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of capacity utilization of mines, mining capacity, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

20

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division. Key Assumptions The historical input data used to develop the HEM version for the AEO2003 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2003 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS).

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


21

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

link.gif (1946 bytes) link.gif (1946 bytes) bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) Supplemental Tables to the AEO99 bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage introduction.gif (4117 bytes) This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 19991 (AEO99), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3

22

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2006 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20061 (AEO2006), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview3, which is updated once every few years. The National Energy Modeling System

23

Assumptions to the Annual Energy Outlook 2012  

U.S. Energy Information Administration (EIA)

Assumptions to the Annual Energy Outlook 2012 August 2012 www.eia.gov U.S. Department of Energy Washington, DC 20585

24

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

25

EIA - Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 7 Assumptions to the Annual Energy Outlook 2007 This report summarizes the major assumptions used in the NEMS to generate the AEO2007 projections. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800.

26

Climate Action Planning Tool Formulas and Assumptions  

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

CLIMATE ACTION PLANNING TOOL FORMULAS AND ASSUMPTIONS Climate Action Planning Tool Formulas and Assumptions The Climate Action Planning Tool calculations use the following formulas and assumptions to generate the business-as-usual scenario and the greenhouse gas emissions reduction goals for the technology options. Business-as-Usual Scenario All Scope 1 (gas, oil, coal, fleet, and electricity) and Scope 2 calculations increase at a rate equal to the building growth rate. Scope 3 calculations (commuters and business travel) increase at a rate equal to the population growth rate. Assumptions New buildings will consume energy at the same rate (energy use intensity) as existing campus buildings. Fleet operations will be proportional to total building area.

27

Hierarchy of Mesoscale Flow Assumptions and Equations  

Science Conference Proceedings (OSTI)

The present research proposes a standard nomenclature for mesoscale meteorological concepts and integrates existing concepts of atmospheric space scales, flow assumptions, governing equations, and resulting motions into a hierarchy useful in ...

P. Thunis; R. Bornstein

1996-02-01T23:59:59.000Z

28

Assumptions to the Annual Energy Outlook 2002 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20021 (AEO2002), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2002 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of

29

Assumptions to the Annual Energy Outlook 2001 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Outlook2001 Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20011 (AEO2001), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2001 were produced with the National Energy

30

Assumptions to the Annual Energy Outlook 2013  

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

Assumptions to the Annual Assumptions to the Annual Energy Outlook 2013 May 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. Table of Contents Introduction .................................................................................................................................................. 3

31

Spot coal price trends vary across key basins during 2013 ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

32

Assumptions to the Annual Energy Outlook 2008  

Gasoline and Diesel Fuel Update (EIA)

8) 8) Release date: June 2008 Next release date: March 2009 Assumptions to the Annual Energy Outlook 2008 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 Natural Gas Transmission and Distribution Module. . . . . . . . . . . . . . . . . . . . . . 113 Petroleum Market Module

33

Key Outcomes:  

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

INDIAN COUNTRY ENERGY AND INFRASTRUCTURE WORKING GROUP ICEIWG Key Points & Action Items Inaugural Meeting Thursday, August 25, 2011 Renaissance Denver Hotel Denver, Colorado...

34

KEY PERSONNEL  

National Nuclear Security Administration (NNSA)

APPENDIX J KEY PERSONNEL 07032013 TITLE NAME President Christopher C. Gentile Vice President, Operations Robin Stubenhofer Director, Sr. Program Management Rick Lavelock...

35

EIA - Assumptions to the Annual Energy Outlook 2010 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2010 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2010 [1] (AEO2010), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports [2]. The National Energy Modeling System The projections in the AEO2010 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

36

EIA - Assumptions to the Annual Energy Outlook 2009 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2009 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 2009 (AEO2009),1 including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2009 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The Annual Energy Outlook (AEO) projections are also used by analysts and planners in other government agencies and outside organizations.

37

EIA - Assumptions to the Annual Energy Outlook 2008 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction Assumptions to the Annual Energy Outlook 2008 Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20081 (AEO2008), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 The National Energy Modeling System The projections in the AEO2008 were produced with the NEMS, which is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and perform policy analyses requested by decisionmakers in the White House, U.S. Congress, offices within the Department of Energy, including DOE Program Offices, and other government agencies. The AEO projections are also used by analysts and planners in other government agencies and outside organizations.

38

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7), 7), (Washington, DC, January 2007). Key Assumptions The output of the U.S. economy, measured by GDP, is expected to increase by 2.9 percent between 2005 and 2030 in the reference case. Two key factors help explain the growth in GDP: the growth rate of nonfarm employment and the rate of productivity change associated with employment. As Table 3 indicates, for the Reference Case GDP growth slows down in each of the periods identified, from 3.0 percent between 2005 and 2010, to 2.9 percent between 2010 and 2020, to 2.8 percent in the between 2020 and 2030. In the near term from 2005 through 2010, the growth in nonfarm employment is low at 1.2 percent compared with 2.4 percent in the second half of the 1990s, while the economy is expected to experiencing relatively strong

39

Assumptions to the Annual Energy Outlook 2013  

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

Energy Module Energy Module This page inTenTionally lefT blank 21 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 International Energy Module The LFMM International Energy Module (IEM) simulates the interaction between U.S. and global petroleum markets. It uses assumptions of economic growth and expectations of future U.S. and world crude-like liquids production and consumption to estimate the effects of changes in U.S. liquid fuels markets on the international petroleum market. For each year of the forecast, the LFMM IEM computes BRENT and WTI prices, provides a supply curve of world crude-like liquids, and generates a worldwide oil supply- demand balance with regional detail. The IEM also provides, for each year of the projection period, endogenous and

40

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2004 Assumptions to the Annual Energy Outlook 2004 143 Appendix A: Handling of Federal and Selected State Legislation and Regulation in the Annual Energy Outlook Legislation Brief Description AEO Handling Basis Residential Sector A. National Appliance Energy Conservation Act of 1987 Requires Secretary of Energy to set minimum efficiency standards for 10 appliance categories a. Room Air Conditioners Current standard of 8.82 EER Federal Register Notice of Final Rulemaking, b. Other Air Conditioners (<5.4 tons) Current standard 10 SEER for central air conditioner and heat pumps, increasing to 12 SEER in 2006. Federal Register Notice of Final Rulemaking, c. Water Heaters Electric: Current standard .86 EF, incr easing to .90 EF in 2004. Gas: Curren

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


41

Key Documents  

Science Conference Proceedings (OSTI)

AOCS by-laws, code of ethics and anti trust policy established during our 100+ legacy. Key Documents AOCS History and Governance about us aocs committees contact us division council fats governing board history oils professionals science value cen

42

Assumptions to the Annual Energy Outlook - Table 41  

Annual Energy Outlook 2012 (EIA)

> Forecasts >Assumptions to the Annual Energy Outlook> Download Report Assumption to the Annual Energy Outlook Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF...

43

Assumptions to Annual Energy Outlook - Energy Information Administrati...  

Annual Energy Outlook 2012 (EIA)

Assumptions to AEO2013 Release Date: May 14, 2013 | Next Release Date: May 2014 | full report Introduction This report presents the major assumptions of the National Energy...

44

Key Outcomes:  

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

Key Points & Action Items Key Points & Action Items Inaugural Meeting Thursday, August 25, 2011 Renaissance Denver Hotel Denver, Colorado Participants Tracey LeBeau, Director, Pilar Thomas, Deputy Director, and Brandt Petrasek, Special Assistant, Department of Energy, Office of Indian Energy Policy and Programs; Vice Chairman Ronald Suppah and Jim Manion, Confederated Tribes of the Warm Springs Reservation of Oregon; William Micklin, Ewiiaapaayp Band of Kumeyaay Indians; Councilman Barney Enos, Jr., Jason Hauter, Gila River Indian Community; Mato Standing High, Rosebud Sioux Tribe; R. Allen Urban, Yocha Dehe Wintun Nation; Glen Andersen, Scott Hendrick, Brooke Oleen, Jacquelyn Pless, Jim Reed and Julia Verdi, National Conference of State Legislatures-staff

45

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, and (4) the implementation of recent regulatory reform. A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, Model Documentation 2003, DOE/EIA- M062(2003) (Washington, DC, January 2003).

46

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2003, DOE/EIA-M068(2003) April 2003. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

47

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction Introduction This paper presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20001 (AEO2000), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2000 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the midterm time period and perform policy analyses requested by decisionmakers and analysts in the U.S. Congress, the Department of Energy’s Office of Policy, other DOE offices, and other government agencies.

48

Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumption to the Annual Energy Outlook Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2004, DOE/EIA-M060(2004) (Washington, DC, 2004). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of capacity utilization of mines, mining capacity, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

49

EIA-Assumptions to the Annual Energy Outlook - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2007 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

50

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7 7 1 (AEO2007), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant to formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports. 2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview 3 , which is updated once every few years. The National Energy Modeling System The projections in the AEO2007 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and

51

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2010 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Document>ation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2009), (Washington, DC, January 2009).

52

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Completed Copy in PDF Format Completed Copy in PDF Format Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Household Expenditures Module Key Assumptions The historical input data used to develop the HEM version for the AEO2001 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2001 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and

53

Assumptions to the Annual Energy Outlook 1999 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

coal.gif (4423 bytes) coal.gif (4423 bytes) The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Model Documentation: Coal Market Module of the National Energy Modeling System, DOE/EIA-MO60. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

54

Assumptions to the Annual Energy Outlook 2001 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2001, DOE/EIA-M060(2001) January 2001. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

55

EIA - Assumptions to the Annual Energy Outlook 2008 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2008 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

56

Assumptions to the Annual Energy Outlook 2001 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

57

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2009 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2008), (Washington, DC, January 2008).

58

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7, DOE/EIA-M060(2007) (Washington, 7, DOE/EIA-M060(2007) (Washington, DC, 2007). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

59

Assumptions to the Annual Energy Outlook 2002 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2002, DOE/EIA-M060(2002) (Washington, DC, January 2002). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves

60

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Tools Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on AddThis.com...

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


61

Assumptions to the Annual Energy Outlook 2013  

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

Industrial Demand Module Industrial Demand Module This page inTenTionally lefT blank 53 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Industrial Demand Module The NEMS Industrial Demand Module (IDM) estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are subdivided further into the energy- intensive manufacturing industries and non-energy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process-flow or end-use accounting procedure. The non-manufacturing industries are modeled with less detail because processes are simpler and there is less available data. The petroleum refining

62

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2040. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

63

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below.106

64

Assumptions to the Annual Energy Outlook - Contacts  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts Assumption to the Annual Energy Outlook Contacts Specific questions about the information in this report may be directed to: Introduction Paul D. Holtberg 202/586-1284 Macroeconomic Activity Module Ronald F. Earley Yvonne Taylor 202/586-1398 202/586-1398 International Energy Module G. Daniel Butler 202/586-9503 Household Expenditures Module/ Residential Demand Module John H. Cymbalsky 202/586-4815 Commercial Demand Module Erin E. Boedecker 202/586-4791 Industrial Demand Module T. Crawford Honeycutt 202/586-1420 Transportation Demand Module John D. Maples 202/586-1757 Electricity Market Module Laura Martin 202/586-1494 Oil and Gas Supply Module/Natural Gas Transmission and Distribution Module Joseph Benneche 202/586-6132 Petroleum Market Module Bill Brown 202/586-8181

65

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 27 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" (UEC) by appliance (in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing

66

Partnership in key exchange protocols  

Science Conference Proceedings (OSTI)

In this paper, we investigate the notion of partnership as found in security models for key exchange protocols. Several different approaches have been pursued to define partnership, with varying degrees of success. We aim to provide an overview and criticism ... Keywords: key exchange, partnership, session identifier

Kazukuni Kobara; Seonghan Shin; Mario Strefler

2009-03-01T23:59:59.000Z

67

Sixth Northwest Conservation and Electric Power Plan Chapter 2: Key Assumptions  

E-Print Network (OSTI)

PRICES The future prices of natural gas, coal, and oil have an important effect on the Council's power, is an important factor when considering the use of natural gas for electricity generation. Price volatility-sized homes. The cost of energy (natural gas, oil, and electricity) is expected to be significantly higher

68

General model of quantum key distribution  

E-Print Network (OSTI)

A general mathematical framework for quantum key distribution based on the concepts of quantum channel and Turing machine is suggested. The security for its special case is proved. The assumption is that the adversary can perform only individual (in essence, classical) attacks. For this case an advantage of quantum key distribution over classical one is shown.

A. S. Trushechkin; I. V. Volovich

2005-04-20T23:59:59.000Z

69

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2003), (Washington, DC, January 2003).

70

Assumptions to the Annual Energy Outlook 2000 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, industry sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs), freight trucks (>10,000 lbs), freight and passenger airplanes, freight rail, freight shipping, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption. Key Assumptions Macroeconomic Sector Inputs

71

Assumptions to the Annual Energy Outlook 2000 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2000, DOE/EIA-M060(2000) January 2000. Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Separate supply curves are developed for each of 11 supply regions, and 12 coal types (unique combinations of thermal grade, sulfur content, and mine type). The modeling approach used to construct regional coal supply curves addresses the relationship between the minemouth price of coal and corresponding levels of coal production, labor productivity, and the cost of factor inputs (mining equipment, mine labor, and fuel requirements).

72

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2006, DOE/EIA-M060(2006) (Washington, DC, 2006). Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2006, DOE/EIA-M060(2006) (Washington, DC, 2006). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

73

Crypto Key Management Framework  

Science Conference Proceedings (OSTI)

... A Framework for Designing Cryptographic Key Management Systems ... A Framework for Designing Cryptographic Key Management Systems ...

2013-08-13T23:59:59.000Z

74

EIA - Assumptions to the Annual Energy Outlook 2010  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2010 This report summarizes the major assumptions used in the NEMS to generate the AEO2010 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions Download the Report Assumptions to the Annual Energy Outlook 2010 Report Cover. Need help, contact the National Energy Information Center at 202-586-8800.

75

Assumptions to the Annual Energy Outlook - Macroeconomic Activity...  

Annual Energy Outlook 2012 (EIA)

Macroeconomic Activity Module Assumption to the Annual Energy Outlook Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the...

76

Truncated predictor feedback for linear systems with long time-varying input delays  

Science Conference Proceedings (OSTI)

In this paper we study the problem of stabilizing a linear system with a single long time-varying delay in the input. Under the assumption that the open-loop system is stabilizable and not exponentially unstable, a finite dimensional static time-varying ... Keywords: Actuator saturation, Energy constraints, Semi-global stabilization, Stabilization, Time-varying delay, Truncated predictor feedback

Bin Zhou; Zongli Lin; Guang-Ren Duan

2012-10-01T23:59:59.000Z

77

Assumption-Commitment Support for CSP Model Checking  

E-Print Network (OSTI)

AVoCS 2006 Assumption-Commitment Support for CSP Model Checking Nick Moffat1 Systems Assurance using CSP. In our formulation, an assumption-commitment style property of a process SYS takes the form-Guarantee, CSP, Model Checking, Compositional Reasoning 1 Introduction The principle of compositional program

Paris-Sud XI, Université de

78

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

6 6 Assumptions to the Annual Energy Outlook 2006 This report presents major assumptions of NEMS that are used to generate the projections in the AEO2006. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2006 Report. Need help, contact the National Energy Information Center at 202-586-8800.

79

Your Mileage Will Still Vary  

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

Mileage Will Still Vary Why Does Fuel Economy Vary? Video about EPA's New Fuel Economy Ratings Windows Media Video (11.1 MB) Quicktime Video (12.9 MB) Text Version EPA has improved...

80

BUDGET KEY DATES  

Science Conference Proceedings (OSTI)

BUDGET KEY DATES. For Immediate Release: December 15, 2009. Contact: Diane Belford 301-975-8400. Budget Key Dates.

2013-06-16T23:59:59.000Z

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


81

EIA - Assumptions to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2009 The Early Release for next year's Annual Energy Outlook will be presented at the John Hopkins Kenney Auditorium on December 14th This report summarizes the major assumptions used in the NEMS to generate the AEO2009 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions

82

Notes 01. The fundamental assumptions and equations of lubrication theory  

E-Print Network (OSTI)

The fundamental assumption in Lubrication Theory. Derivation of thin film flow equations from Navier-Stokes equations. Importance of fluid inertia effects in thin film flows. Some fluid physical properties

San Andres, Luis

2009-01-01T23:59:59.000Z

83

Prognostic Evaluation of Assumptions Used by Cumulus Parameterizations  

Science Conference Proceedings (OSTI)

Using a spectral-type cumulus parameterization that includes moist downdrafts within a three-dimensional mesoscale model, various disparate closure assumptions are systematically tested within the generalized framework of dynamic control, static ...

Georg A. Grell

1993-03-01T23:59:59.000Z

84

Computational soundness for standard assumptions of formal cryptography  

E-Print Network (OSTI)

This implementation is conceptually simple, and relies only on general assumptions. Specifically, it can be thought of as a 'self-referential' variation on a well-known encryption scheme. 4. Lastly, we show how the ...

Herzog, Jonathan, 1975-

2004-01-01T23:59:59.000Z

85

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

bullet1.gif (843 bytes) Feedback link.gif (1946 bytes) bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) Interactive Data Queries to the AEO99 bullet1.gif...

86

LBL-34045 UC-1600 Residential HVAC Data, Assumptions and Methodology  

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

5 UC-1600 Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1 Francis X. Johnson, Richard E. Brown, James W. Hanford, Alan H. Sanstad and...

87

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7) 7) Release date: April 2007 Next release date: March 2008 Assumptions to the Annual Energy Outlook 2007 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 Natural Gas Transmission and Distribution Module. . . . . . . . . . . . . . . . . . . . . . 107 Petroleum Market Module

88

A Comparison of the Free Ride and CISK Assumptions  

Science Conference Proceedings (OSTI)

In a recent paper Fraedrich and McBride have studied the relation between the free ride and CISK (conditional instability of the second kind) assumptions in a well-known two-layer model. Here the comparison is extended to a more general case. ...

Torben Strunge Pedersen

1991-08-01T23:59:59.000Z

89

Security proof of practical quantum key distribution schemes  

E-Print Network (OSTI)

This paper provides a security proof of the Bennett-Brassard (BB84) quantum key distribution protocol in practical implementation. To prove the security, it is not assumed that defects in the devices are absorbed into an adversary's attack. In fact, the only assumption in the proof is that the source is characterized. The proof is performed by lower-bounding adversary's Renyi entropy about the key before privacy amplification. The bound reveals the leading factors reducing the key generation rate.

Yodai Watanabe

2005-06-29T23:59:59.000Z

90

Group key management  

SciTech Connect

This report describes an architecture and implementation for doing group key management over a data communications network. The architecture describes a protocol for establishing a shared encryption key among an authenticated and authorized collection of network entities. Group access requires one or more authorization certificates. The implementation includes a simple public key and certificate infrastructure. Multicast is used for some of the key management messages. An application programming interface multiplexes key management and user application messages. An implementation using the new IP security protocols is postulated. The architecture is compared with other group key management proposals, and the performance and the limitations of the implementation are described.

Dunigan, T.; Cao, C.

1997-08-01T23:59:59.000Z

91

NEW CONSTRAINTS ON VARYING ALPHA  

E-Print Network (OSTI)

I briefly present some current theoretical motivations for time or space variations of the fundamental constants of nature and review current key observational results. I focus on the finestructure constant, and particularly on measurements using quasars and the cosmic microwave background. I also compare various observational results to the simplest model-building expectations. 1

C. J. A. P. Martins

2004-01-01T23:59:59.000Z

92

Unifying classical and quantum key distillation  

E-Print Network (OSTI)

Assume that two distant parties, Alice and Bob, as well as an adversary, Eve, have access to (quantum) systems prepared jointly according to a tripartite state ?ABE. In addition, Alice and Bob can use local operations and authenticated public classical communication. Their goal is to establish a key which is unknown to Eve. We initiate the study of this scenario as a unification of two standard scenarios: (i) key distillation (agreement) from classical correlations and (ii) key distillation from pure tripartite quantum states. Firstly, we obtain generalisations of fundamental results related to scenarios (i) and (ii), including upper bounds on the key rate, i.e., the number of key bits that can be extracted per copy of ?ABE. Moreover, based on an embedding of classical distributions into quantum states, we are able to find new connections between protocols and quantities in the standard scenarios (i) and (ii). Secondly, we study specific properties of key distillation protocols. In particular, we show that every protocol that makes use of pre-shared key can be transformed into an equally efficient protocol which needs no pre-shared key. This result is of practical significance as it applies to quantum key distribution (QKD) protocols, but it also implies that the key rate cannot be locked with information on Eves side. Finally, we exhibit an arbitrarily large separation between the key rate in the standard setting where Eve is equipped with quantum memory and the key rate in a setting where Eve is only given classical memory. This shows that assumptions on the nature of Eves memory are important in order to determine the correct security threshold in QKD. 1

Matthias Christ; Renato Renner

2008-01-01T23:59:59.000Z

93

Assumption Parish, Louisiana: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Assumption Parish, Louisiana: Energy Resources Assumption Parish, Louisiana: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.9232544°, -91.09694° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.9232544,"lon":-91.09694,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

94

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

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

Policy & Operational Decisions, Assumptions Policy & Operational Decisions, Assumptions and Strategies Examples 1 & 2 Example 1 1.0 Summary The 322-M Metallurgical Laboratory is currently categorized as a Radiological Facility. It is inactive with no future DOE mission. In May of 1998 it was ranked Number 45 in the Inactive Facilities Risk Ranking database which the Facilities Decommissioning Division maintains. A short-term surveillance and maintenance program is in-place while the facility awaits final deactivation. Completion of the end points described in this deactivation project plan will place the 322-M facility into an End State that can be described as "cold and dark". The facility will be made passively safe requiring minimal surveillance and no scheduled maintenance.

95

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

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

Cost and Performance Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia Subcontract Report NREL/SR-6A20-48595 November 2010 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia NREL Technical Monitor: Jordan Macknick

96

Assumptions to the Annual Energy Outlook 2000 - Errata  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2000 Assumptions to the Annual Energy Outlook 2000 as of 4/4/2000 1. On table 20 "the fractional fuel efficiency change for 4-Speed Automatic" should be .045 instead of .030. On table 20 "the fractional fuel efficiency change for 5-Speed Automatic" should be .065 instead of .045. (Change made on 3/6/2000) 2. Table 28 should be labeled: "Alternative-Fuel Vehicle Attribute Inputs for Compact Cars for Two Stage Logit Model". (Change made on 3/6/2000) 3. The capital costs in Table 29 should read 1998 dollars not 1988 dollars. (Change made on 3/6/2000) 4. Table 37 changed the label "Year Available" to "First Year Completed." Changed the second sentence of Footnote 1 to read "these estimates are costs of new projects

97

EIA - Assumptions to the Annual Energy Outlook 2009 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2009 Petroleum Market Module Figure 9., Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. Table 11.1. Petroleum Product Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.2. Year Round Gasoline Specifications by Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.3. Gasolline Sulfur Content Assumptions, by Region and Gasoline Type, Parts per Million (PPM). Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version

98

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7, DOE/EIA- 7, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described. EMM Regions The supply regions used in EMM are based on the North American Electric Reliability Council regions and

99

Effects of internal gain assumptions in building energy calculations  

DOE Green Energy (OSTI)

The utilization of direct solar gains in buildings can be affected by operating profiles, such as schedules for internal gains, thermostat controls, and ventilation rates. Building energy analysis methods use various assumptions about these profiles. The effects of typical internal gain assumptions in energy calculations are described. Heating and cooling loads from simulations using the DOE 2.1 computer code are compared for various internal-gain inputs: typical hourly profiles, constant average profiles, and zero gain profiles. Prototype single-family-detached and multi-family-attached residential units are studied with various levels of insulation and infiltration. Small detached commercial buildings and attached zones in large commercial buildings are studied with various levels of internal gains. The results of this study indicate that calculations of annual heating and cooling loads are sensitive to internal gains, but in most cases are relatively insensitive to hourly variations in internal gains.

Christensen, C.; Perkins, R.

1981-01-01T23:59:59.000Z

100

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2006 The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2006, DOE/EIA- M068(2006). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

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101

Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumption to the Annual Energy Outlook Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2004, DOE/EIA- M068(2004). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

102

EIA - Assumptions to the Annual Energy Outlook 2008 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2008 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2008, DOE/EIA-M068(2008). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

103

Unifying classical and quantum key distillation  

E-Print Network (OSTI)

Assume that two distant parties, Alice and Bob, as well as an adversary, Eve, have access to (quantum) systems prepared jointly according to a tripartite state. In addition, Alice and Bob can use local operations and authenticated public classical communication. Their goal is to establish a key which is unknown to Eve. We initiate the study of this scenario as a unification of two standard scenarios: (i) key distillation (agreement) from classical correlations and (ii) key distillation from pure tripartite quantum states. Firstly, we obtain generalisations of fundamental results related to scenarios (i) and (ii), including upper bounds on the key rate. Moreover, based on an embedding of classical distributions into quantum states, we are able to find new connections between protocols and quantities in the standard scenarios (i) and (ii). Secondly, we study specific properties of key distillation protocols. In particular, we show that every protocol that makes use of pre-shared key can be transformed into an equally efficient protocol which needs no pre-shared key. This result is of practical significance as it applies to quantum key distribution (QKD) protocols, but it also implies that the key rate cannot be locked with information on Eve's side. Finally, we exhibit an arbitrarily large separation between the key rate in the standard setting where Eve is equipped with quantum memory and the key rate in a setting where Eve is only given classical memory. This shows that assumptions on the nature of Eve's memory are important in order to determine the correct security threshold in QKD.

Matthias Christandl; Artur Ekert; Michal Horodecki; Pawel Horodecki; Jonathan Oppenheim; Renato Renner

2006-08-25T23:59:59.000Z

104

Assumptions to the Annual Energy Outlook - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumption to the Annual Energy Outlook Petroleum Market Module Figure 8. Petroleum Administration for Defense Districts. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohols, ethers, and bioesters natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of U.S. refining

105

Assumptions to the Annual Energy Outlook - Household Expenditures Module  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module Assumption to the Annual Energy Outlook Household Expenditures Module Figure 5. United States Census Divisions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division (see

106

Crypto Key Management Framework  

Science Conference Proceedings (OSTI)

... responsible to executive-level management (eg, the Chief Information Officer) for the ... entity information, keys, and metadata into a database used by ...

2013-08-15T23:59:59.000Z

107

The Key Agreement Schemes  

Science Conference Proceedings (OSTI)

... The three key derivation functions include KDF in Counter Mode, KDF in Feedback Mode, and KDF in Double-Pipeline Iteration Mode. ...

2013-04-23T23:59:59.000Z

108

Assumptions to the Annual Energy Outlook 2000 - Electricity Market Demand  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Electricity Market Module (EMM) represents the planning, operations, and pricing of electricity in the United States. It is composed of four primary submodules—electricity capacity planning, electricity fuel dispatching, load and demand-side management, and electricity finance and pricing. In addition, nonutility generation and supply and electricity transmission and trade are represented in the planning and dispatching submodules. Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. The major assumptions are summarized below.

109

Assumptions to the Annual Energy Outlook 2000 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, Model Documentation 2000, DOE/EIA-M062(2000), January 2000.

110

Assumptions to the Annual Energy Outlook 1999 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by obtaining market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation Report: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, DOE/EIA-MO62/1, January 1999.

111

Cryptographic Key Management Workshop 2010  

Science Conference Proceedings (OSTI)

Cryptographic Key Management Workshop 2010. Purpose: ... Related Project(s): Cryptographic Key Management Project. Details: ...

2013-08-01T23:59:59.000Z

112

EIA-Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2007 Coal Market Module The NEMS Coal Market Module (CMM) provides forecasts of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2007, DOE/EIA-M060(2007) (Washington, DC, 2007). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the forecast. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

113

EIA - Assumptions to the Annual Energy Outlook 2010 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2010 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2010, DOE/EIA-M060(2010) (Washington, DC, 2010). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, the cost of factor inputs (labor and fuel), and other mine supply costs.

114

EIA - Assumptions to the Annual Energy Outlook 2008 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

Coal Market Module Coal Market Module Assumptions to the Annual Energy Outlook 2008 Coal Market Module The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports. A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2008, DOE/EIA-M060(2008) (Washington, DC, 2008). Key Assumptions Coal Production The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables. The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel).

115

Assumptions to the Annual Energy Outlook 1999 - Table 1  

Gasoline and Diesel Fuel Update (EIA)

Summary of AEO99 Cases Summary of AEO99 Cases Case Name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully Integrated Low Economic Growth Gross Domestic product grows at an average annual rate of 1.5 percent, compared to the reference case growth of 2.1 percent. Fully Integrated High Economic Growth Gross domestic product grows at an average annual rate of 2.6 percent, compared to the reference case growth of 2.1 percent. Fully Integrated Low World Oil Price World oil prices are $14.57 per barrel in 2020, compared to $22.73 per barrel in the reference case. Partially Integrated High World Oil Price World oil prices are $29.35 per barrel in 2020, compared to $22.73 per barrel in the reference case. Partially Integrated Residential: 1999 Technology

116

EIA - Assumptions to the Annual Energy Outlook 2009 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2009 Electricity Market Module figure 6. Electricity Market Model Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2009, DOE/EIA-M068(2009). Based on fuel prices and electricity demands provided by the other modules

117

EIA - Assumptions to the Annual Energy Outlook 2008 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2008 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

118

Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumption to the Annual Energy Outlook Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, sport utility vehicles and vans), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

119

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS27 data.

120

EIA - Assumptions to the Annual Energy Outlook 2008 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2008 Petroleum Market Module Figure 9. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining

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


121

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2006 The International Energy Module determines changes in the world oil price and the supply prices of crude oils and petroleum products for import to the United States in response to changes in U.S. import requirements. A market clearing method is used to determine the price at which worldwide demand for oil is equal to the worldwide supply. The module determines new values for oil production and demand for regions outside the United States, along with a new world oil price that balances supply and demand in the international oil market. A detailed description of the International Energy Module is provided in the EIA publication, Model Documentation Report: The International Energy Module of the National Energy Modeling System, DOE/EIA-M071(06), (Washington, DC, February 2006).

122

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

123

EIA - Assumptions to the Annual Energy Outlook 2008 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2008 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

124

EIA - Assumptions to the Annual Energy Outlook 2010 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2010 International Energy Module Figure 2. World Oil Prices in Three Cases, 1995-2035 Figure 2. World Oil Prices in three Cases, 1995-2035 (2008 dollars per barrel). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 3. OPEC Total Liquids Production in the Reference Case, 1980-2035 Figure 3. OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1980-2035 Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800.

125

EIA - Assumptions to the Annual Energy Outlook 2009 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2009 International Energy Module Figure 2. World Oil Prices in three Cases, 1995-2030 (2006 dollars per barrel). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 3. OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 4. Non-OPEC Total Liquids Production in the Reference Case, 1995-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. figure data The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids

126

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.14

127

EIA - Assumptions to the Annual Energy Outlook 2008 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2008 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module projects energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region projection using the SEDS1 data.

128

Assumptions to the Annual Energy Outlook - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumption to the Annual Energy Outlook International Energy Module Figure 2. World Oil Prices in three Cases, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Figure 3. OPEC Oil Production in the Reference Case, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Figure 4. Non-OPEC Production in the Reference Case, 1970-2025. Having problems, call our National Energy Information Center at 202-586-8800 for help. Figure Data Table 4. Worldwide Oil Reserves as of January 1, 2002 (Billion Barrels) Printer Friendly Version Region Proved Oil Reserves Western Hemisphere 313.6 Western‘Europe 18.1 Asia-Pacific 38.7

129

EIA - Assumptions to the Annual Energy Outlook 2010 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2010 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock,

130

Assumptions to the Annual Energy Outlook - Natural Gas Transmission and  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumption to the Annual Energy Outlook Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Having problems, call our National Energy Information Center at 202-586-8800 for help. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

131

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2006 Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment

132

EIA - Assumptions to the Annual Energy Outlook 2008 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2008 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

133

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2006 Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2006), (Washington, DC, 2006). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

134

Assumptions to the Annual Energy Outlook - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumption to the Annual Energy Outlook Industrial Demand Module Table 17. Industry Categories Printer Friendly Version Energy-Intensive Manufacturing Nonenergy-Intensive Manufacturing Nonmanufacturing Industries Food and Kindred Products (NAICS 311) Metals-Based Durables (NAICS 332-336) Agricultural Production -Crops (NAICS 111) Paper and Allied Products (NAICS 322) Balance of Manufacturing (all remaining manufacturing NAICS) Other Agriculture Including Livestock (NAICS112- 115) Bulk Chemicals (NAICS 32B) Coal Mining (NAICS 2121) Glass and Glass Products (NAICS 3272) Oil and Gas Extraction (NAICS 211) Hydraulic Cement (NAICS 32731) Metal and Other Nonmetallic Mining (NAICS 2122- 2123) Blast Furnaces and Basic Steel (NAICS 331111) Construction (NAICS233-235)

135

EIA - Assumptions to the Annual Energy Outlook 2009 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.1

136

EIA - Assumptions to the Annual Energy Outlook 2009 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2009 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight, rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

137

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

clothes drying, ceiling fans, coffee makers, spas, home security clothes drying, ceiling fans, coffee makers, spas, home security systems, microwave ovens, set-top boxes, home audio equipment, rechargeable electronics, and VCR/DVDs. In addition to the major equipment-driven end-uses, the average energy consumption per household is projected for other electric and nonelectric appliances. The module's output includes number Energy Information Administration/Assumptions to the Annual Energy Outlook 2007 19 Pacific East South Central South Atlantic Middle Atlantic New England West South Central West North Central East North Central Mountain AK WA MT WY ID NV UT CO AZ NM TX OK IA KS MO IL IN KY TN MS AL FL GA SC NC WV PA NJ MD DE NY CT VT ME RI MA NH VA WI MI OH NE SD MN ND AR LA OR CA HI Middle Atlantic New England East North Central West North Central Pacific West South Central East South Central

138

EIA - Assumptions to the Annual Energy Outlook 2009 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2009 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy.

139

EIA - Assumptions to the Annual Energy Outlook 2010 - Commercial Demand  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2009 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA’s State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services [1].

140

Assumptions to the Annual Energy Outlook 1999 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

petroleum.gif (4999 bytes) petroleum.gif (4999 bytes) The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below. 75

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


141

EIA - Assumptions to the Annual Energy Outlook 2010 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2010 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and

142

EIA - Assumptions to the Annual Energy Outlook 2010 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2010 Petroleum Market Module The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. Figure 9. Petroleum Administration for Defense Districts. The PMM contains a linear programming (LP) representation of U.S. refining activities in the five Petroleum Area Defense Districts (PADDs) (Figure 9),

143

EIA - Assumptions to the Annual Energy Outlook 2009 - Industrial Demand  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2009 Industrial Demand Module Table 6.1. Industry Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 6.2.Retirement Rates. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries (Table 6.1). The manufacturing industries are modeled through the use of a detailed process flow or end use accounting

144

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

Science Conference Proceedings (OSTI)

The goal of this project was to compare and contrast utility scale power plant characteristics used in data sets that support energy market models. Characteristics include both technology cost and technology performance projections to the year 2050. Cost parameters include installed capital costs and operation and maintenance (O&M) costs. Performance parameters include plant size, heat rate, capacity factor or availability factor, and plant lifetime. Conventional, renewable, and emerging electricity generating technologies were considered. Six data sets, each associated with a different model, were selected. Two of the data sets represent modeled results, not direct model inputs. These two data sets include cost and performance improvements that result from increased deployment as well as resulting capacity factors estimated from particular model runs; other data sets represent model input data. For the technologies contained in each data set, the levelized cost of energy (LCOE) was also evaluated, according to published cost, performance, and fuel assumptions.

Tidball, R.; Bluestein, J.; Rodriguez, N.; Knoke, S.

2010-11-01T23:59:59.000Z

145

EIA - Assumptions to the Annual Energy Outlook 2009 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2009 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

146

Optical key system  

Science Conference Proceedings (OSTI)

An optical key system comprises a battery-operated optical key and an isolated lock that derives both its operating power and unlock signals from the correct optical key. A light emitting diode or laser diode is included within the optical key and is connected to transmit a bit-serial password. The key user physically enters either the code-to-transmit directly, or an index to a pseudorandom number code, in the key. Such person identification numbers can be retained permanently, or ephemeral. When a send button is pressed, the key transmits a beam of light modulated with the password information. The modulated beam of light is received by a corresponding optical lock with a photovoltaic cell that produces enough power from the beam of light to operate a password-screen digital logic. In one application, an acceptable password allows a two watt power laser diode to pump ignition and timing information over a fiberoptic cable into a sealed engine compartment. The receipt of a good password allows the fuel pump, spark, and starter systems to each operate. Therefore, bypassing the lock mechanism as is now routine with automobile thieves is pointless because the engine is so thoroughly disabled.

Hagans, K.G.; Clough, R.E.

2000-04-25T23:59:59.000Z

147

Optical key system  

DOE Patents (OSTI)

An optical key system comprises a battery-operated optical key and an isolated lock that derives both its operating power and unlock signals from the correct optical key. A light emitting diode or laser diode is included within the optical key and is connected to transmit a bit-serial password. The key user physically enters either the code-to-transmit directly, or an index to a pseudorandom number code, in the key. Such person identification numbers can be retained permanently, or ephemeral. When a send button is pressed, the key transmits a beam of light modulated with the password information. The modulated beam of light is received by a corresponding optical lock with a photovoltaic cell that produces enough power from the beam of light to operate a password-screen digital logic. In one application, an acceptable password allows a two watt power laser diode to pump ignition and timing information over a fiberoptic cable into a sealed engine compartment. The receipt of a good password allows the fuel pump, spark, and starter systems to each operate. Therefore, bypassing the lock mechanism as is now routine with automobile thieves is pointless because the engine is so thoroughly disabled.

Hagans, Karla G. (Livermore, CA); Clough, Robert E. (Danville, CA)

2000-01-01T23:59:59.000Z

148

A Graphical Approach to Diagnosing the Validity of the Conditional Independence Assumptions of a Bayesian Network Given Data  

SciTech Connect

Bayesian networks have attained widespread use in data analysis and decision making. Well studied topics include: efficient inference, evidence propagation, parameter learning from data for complete and incomplete data scenarios, expert elicitation for calibrating Bayesian network probabilities, and structure learning. It is not uncommon for the researcher to assume the structure of the Bayesian network or to glean the structure from expert elicitation or domain knowledge. In this scenario, the model may be calibrated through learning the parameters from relevant data. There is a lack of work on model diagnostics for fitted Bayesian networks; this is the contribution of this paper. We key on the definition of (conditional) independence to develop a graphical diagnostic method which indicates if the conditional independence assumptions imposed when one assumes the structure of the Bayesian network are supported by the data. We develop the approach theoretically and describe a Monte Carlo method to generate uncertainty measures for the consistency of the data with conditional independence assumptions under the model structure. We describe how this theoretical information and the data are presented in a graphical diagnostic tool. We demonstrate the approach through data simulated from Bayesian networks under different conditional independence assumptions. We also apply the diagnostic to a real world data set. The results indicate that our approach is a reasonable way of visualizing and inspecting the conditional independence assumption of a Bayesian network given data.

Walsh, Stephen J.; Whitney, Paul D.

2012-12-14T23:59:59.000Z

149

SR Key Facts  

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

Key Facts Savannah River Site Budget FY 2011 Budget Summary FY 2011 SRS EM Program Budget Summary FY 2012 Presidential Budget Request for SRS FY 2014 SRS EM Budget Presentation...

150

Key masking using biometry  

Science Conference Proceedings (OSTI)

We construct an abstract model based on a fundamental similarity property, which takes into account parametric dependencies and reflects a specific collection of requirements. We consider a method for masking a cryptographic key using biometry, which ...

A. L. Chmora

2011-06-01T23:59:59.000Z

151

Key Emergency Information  

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

Key Emergency Information What to Do if an Emergency Arises DOE is committed to public safety in the event an emergency arises. You will likely be made aware that an emergency is...

152

Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumption to the Annual Energy Outlook Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

153

EIA - Assumptions to the Annual Energy Outlook 2008 - International Energy  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2008 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously global and U.S.A. petroleum liquids supply and demand curves (1 curve per year; 2008-2030; approximated, isoelastic fit to previous NEMS results). These quantities are not modeled directly in NEMS. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2008 with IEO2007 and the STEO some functionality was removed from IEM while a new algorithm was implemented. Based on the difference between U.S. total petroleum liquids production (consumption) and the expected U.S. total liquids production (consumption) at the current WTI price, curves for global petroleum liquids consumption (production) were adjusted for each year. According to previous operations, a new WTI price path was generated. An exogenous oil supply module, Generate World Oil Balances (GWOB), was also used in IEM to provide annual regional (country) level production detail for conventional and unconventional liquids.

154

Assumptions to the Annual Energy Outlook 2000 - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, other refinery inputs including alcohol and ethers, natural gas plant liquids production, and refinery processing gain. In addition, the PMM estimates capacity expansion and fuel consumption of domestic refineries. The PMM contains a linear programming representation of refining activities in three U.S. regions. This representation provides the marginal costs of production for a number of traditional and new petroleum products. The linear programming results are used to determine end-use product prices for each Census Division using the assumptions and methods described below.100

155

Assumptions to the Annual Energy Outlook - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumption to the Annual Energy Outlook Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).109 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was an original source of electricity generation, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

156

EIA - Assumptions to the Annual Energy Outlook 2008 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2008 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

157

EIA - Assumptions to the Annual Energy Outlook 2009 - Residential Demand  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2009 Residential Demand Module The NEMS Residential Demand Module projects future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions (see Figure 5). The Residential Demand Module also requires projections of available equipment and their installed costs over the projection horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the projection horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

158

ARM - Key Science Questions  

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

govScienceKey Science Questions govScienceKey Science Questions Science Research Themes Research Highlights Journal Articles Collaborations Atmospheric System Research (ASR) ARM Science Team Meetings User Meetings Annual Meetings of the Atmospheric System Research (ASR) Science Team and Fall Working Groups Accomplishments Read about the 20 years of accomplishments (PDF, 696KB) from the ARM Program and user facility. Performance Metrics ASR Metrics 2009 2008 2007 2006 Key Science Questions The role of clouds and water vapor in climate change is not well understood; yet water vapor is the largest greenhouse gas and directly affects cloud cover and the propagation of radiant energy. In fact, there may be positive feedback between water vapor and other greenhouse gases. Carbon dioxide and other gases from human activities slightly warm the

159

A Statistical Analysis of the Dependency of Closure Assumptions in Cumulus Parameterization on the Horizontal Resolution  

Science Conference Proceedings (OSTI)

Simulated data from the UCLA cumulus ensemble model are used to investigate the quasi-universal validity of closure assumptions used in existing cumulus parameterizations. A closure assumption is quasi-universally valid if it is sensitive neither ...

Kuan-Man Xu

1994-12-01T23:59:59.000Z

160

Comparison of risk-dominant scenario assumptions for several TRU waste facilities in the DOE complex  

Science Conference Proceedings (OSTI)

In order to gain a risk management perspective, the DOE Rocky Flats Field Office (RFFO) initiated a survey of other DOE sites regarding risks from potential accidents associated with transuranic (TRU) storage and/or processing facilities. Recently-approved authorization basis documents at the Rocky Flats Environmental Technology Site (RFETS) have been based on the DOE Standard 3011 risk assessment methodology with three qualitative estimates of frequency of occurrence and quantitative estimates of radiological consequences to the collocated worker and the public binned into three severity levels. Risk Class 1 and 2 events after application of controls to prevent or mitigate the accident are designated as risk-dominant scenarios. Accident Evaluation Guidelines for selection of Technical Safety Requirements (TSRs) are based on the frequency and consequence bin assignments to identify controls that can be credited to reduce risk to Risk Class 3 or 4, or that are credited for Risk Class 1 and 2 scenarios that cannot be further reduced. This methodology resulted in several risk-dominant scenarios for either the collocated worker or the public that warranted consideration on whether additional controls should be implemented. RFFO requested the survey because of these high estimates of risks that are primarily due to design characteristics of RFETS TRU waste facilities (i.e., Butler-type buildings without a ventilation and filtration system, and a relatively short distance to the Site boundary). Accident analysis methodologies and key assumptions are being compared for the DOE sites responding to the survey. This includes type of accidents that are risk dominant (e.g., drum explosion, material handling breach, fires, natural phenomena, external events, etc.), source term evaluation (e.g., radionuclide material-at-risk, chemical and physical form, damage ratio, airborne release fraction, respirable fraction, leakpath factors), dispersion analysis (e.g., meteorological assumptions, distance to receptors, plume meander, deposition, and other factors affecting the calculated {chi}/Q), dose assessments (specific activities, inhalation dose conversion factors, breathing rates), designated frequency of occurrence, and risk assignment per the DOE Standard 3011 methodology. Information from the sites is being recorded on a spreadsheet to facilitate comparisons. The first response from Westinghouse Safety Management Solutions for the Savannah River Site (SRS) also provided a detailed analysis of the major differences in methods and assumptions between RFETS and SRS, which forms much of the basis for this paper. Other sites responding to the survey include the Idaho National Engineering and Environmental Laboratory (INEEL), Hanford, and the Los Alamos National Laboratory (LANL).

Foppe, T.L. [Foppe and Associates, Inc., Golden, CO (United States); Marx, D.R. [Westinghouse Safety Management Solutions, Inc., Aiken, SC (United States)

1999-06-01T23:59:59.000Z

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


161

Key Research Results Achievement  

E-Print Network (OSTI)

daylighting options for specific spaces with sample design layouts · Various HVAC system types that achieve%energysavingsovercode.NREL developedthesimulationtoolsandledthe committeethatproducedtheguides. Key Result TheAdvanced school in Greensburg, Kansas, used many of the energy efficiency measures outlined in the Advanced Energy

162

Assumptions to the Annual Energy Outlook 2001 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

163

Assumptions to the Annual Energy Outlook 1999 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

macroeconomic.gif (5367 bytes) macroeconomic.gif (5367 bytes) The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994).

164

Assumptions to the Annual Energy Outlook 2002 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

165

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994), plus Macroeconomic Activity Module (MAM): Kernel Regression Documentation of the National Energy Modeling System 1999, DOE/EIA-M065(99), Washington, DC, 1999).

166

Light-Heavy Price Difference Varies  

U.S. Energy Information Administration (EIA)

Light-Heavy Price Difference Varies ; Function of Crude Market Factors ; Function of Conversion Capacity ; Function of Product Market Factors

167

A Slowly Varying Model of the Quasi-biennial Oscillation Involving Effects of Transcience, Self-acceleration and Saturation of Equatorial Waves  

Science Conference Proceedings (OSTI)

A numerical simulation of the quasi-biennial oscillations (QBO) is presented using a sophisticated one-dimensional model operating under a slowly varying WKB assumption. The roles of wave transience, wave self-acceleration and wave saturation are ...

Hiroshi Tanaka; Nobuyuki Yoshizawa

1987-05-01T23:59:59.000Z

168

AP Key Accomplishments  

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

Recent Key Accomplishments Recent Key Accomplishments Reduction of Carbon Dioxide Mechanistic insight into CO2 hydrogenation Rapid Transfer of Hydride Ion from a Ruthenium Complex to C1 Species in Water Reversible Hydrogen Storage using CO2 and a Proton-Switchable Iridium Catalyst in Aqueous Media Nickel(II) Macrocycles: Highly Efficient Electrocatalysts for the Selective Reduction of CO2 to CO Calculation of Thermodynamic Hydricities and the Design of Hydride Donors for CO2 Reduction Mechanisms for CO Production from CO2 Using Re(bpy)(CO)3X Catalysts Hydrogen Production Biomass-derived electrocatalytic composites for hydrogen evolution Hydrogen-Evolution Catalysts Based on NiMo Nitride Nanosheets Water Oxidation Enabling light-driven water oxidation via a low-energy RuIV=O intermediate

169

Answering Key Fuel Cycle Questions  

Science Conference Proceedings (OSTI)

The Advanced Fuel Cycle Initiative (AFCI) program has both outcome and process goals because it must address both waste already accumulating as well as completing the fuel cycle in connection with advanced nuclear power plant concepts. The outcome objectives are waste geological repository capacity and cost, energy security and sustainability, proliferation resistance, fuel cycle economics, and safety. The process objectives are readiness to proceed and adaptability and robustness in the face of uncertainties. A classic decision-making approach to such a multi-attribute problem would be to weight individual quantified criteria and calculate an overall figure of merit. This is inappropriate for several reasons. First, the goals are not independent. Second, the importance of different goals varies among stakeholders. Third, the importance of different goals is likely to vary with time, especially the energy future. Fourth, some key considerations are not easily or meaningfully quantifiable at present. Instead, at this point, we have developed 16 questions the AFCI program should answer and suggest an approach of determining for each whether relevant options improve meeting each of the program goals. We find that it is not always clear which option is best for a specific question and specific goal; this helps identify key issues for future work. In general, we suggest attempting to create as many win-win decisions (options that are attractive or neutral to most goals) as possible. Thus, to help clarify why the program is exploring the options it is, and to set the stage for future narrowing of options, we have developed 16 questions, as follows: What are the AFCI program goals? Which potential waste disposition approaches do we plan for? What are the major separations, transmutation, and fuel options? How do we address proliferation resistance? Which potential energy futures do we plan for? What potential external triggers do we plan for? Should we separate uranium? If we separate uranium, should we recycle it, store it or dispose of it? Is it practical to plan to fabricate and handle hot fuel? Which transuranic elements (TRU) should be separated and transmuted? Of those TRU separated, which should be transmuted together? Should we separate and/or transmute Cs and Sr isotopes that dominate near-term repository heating? Should we separate and/or transmute very long-lived Tc and I isotopes? Which separation technology? What mix of transmutation technologies? What fuel technology best supports the above decisions?

Steven J. Piet; Brent W. Dixon; J. Stephen Herring; David E. Shropshire; Mary Lou Dunzik-Gougar

2003-10-01T23:59:59.000Z

170

Cryptographic Key Management Workshop 2012  

Science Conference Proceedings (OSTI)

Cryptographic Key Management Workshop 2012. Purpose: NIST is conducting a two-day Key Management Workshop on September 10-11. ...

2013-08-01T23:59:59.000Z

171

Fractal analysis of time varying data  

DOE Patents (OSTI)

Characteristics of time varying data, such as an electrical signal, are analyzed by converting the data from a temporal domain into a spatial domain pattern. Fractal analysis is performed on the spatial domain pattern, thereby producing a fractal dimension D.sub.F. The fractal dimension indicates the regularity of the time varying data.

Vo-Dinh, Tuan (Knoxville, TN); Sadana, Ajit (Oxford, MS)

2002-01-01T23:59:59.000Z

172

A model of a varying Ghost Dark energy  

E-Print Network (OSTI)

Motivated by recent developments in Cosmology we would like to assume a possibility of the existence of varying Ghost Dark energy. Ghost Dark energy like other models was introduced recently as a model of dark energy. As accepted in general, in GR dark energy is a possible way to explain accelerated expansion of the Universe reported from different experimental data. From the beginning we would like to stress the fact, that proposed modifications are based on our believe and probably for this reason there is not a well establish physical theory behind the models. Concerning to the origin of varying Ghost dark energy, we can assume an existence of some interaction (and unknown physics behind it), between Ghost Dark energy and a fluid and last component during interaction evaporated completely making sense of the proposed effect. Moreover, we can assume that this was in epochs and scales which are unreachable by nowadays experiments. The same assumptions could be accepted or proposed for the interaction terms.

Martiros Khurshudyan; Amalya Khurshudyan

2013-07-30T23:59:59.000Z

173

A Review of Electric Vehicle Cost Studies: Assumptions, Methodologies, and Results  

E-Print Network (OSTI)

assumptions Battery costs and capacities: Lead acid batteryElectricity cost Battery cost and capacity: Lead acidElectricity cost Battery cost and capacity: N i C d

Lipman, Timothy

1999-01-01T23:59:59.000Z

174

Building 9213 ? A long and varied history  

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

213 - A long and varied history The series on the Training and Technology program at Y-12 has been completed, and I certainly do appreciate all the input received on that historic...

175

Solar mass-varying neutrino oscillations  

E-Print Network (OSTI)

We propose that the solar neutrino deficit may be due to oscillations of mass-varying neutrinos (MaVaNs). This scenario elucidates solar neutrino data beautifully while remaining comfortably compatible with atmospheric neutrino and K2K data and with reactor antineutrino data at short and long baselines (from CHOOZ and KamLAND). We find that the survival probability of solar MaVaNs is independent of how the suppression of neutrino mass caused by the acceleron-matter couplings varies with density. Measurements of MeV and lower energy solar neutrinos will provide a rigorous test of the idea.

V. Barger; Patrick Huber; Danny Marfatia

2005-02-21T23:59:59.000Z

176

Heterogeneous Correlation Modeling Based on the Wavelet Diagonal Assumption and on the Diffusion Operator  

Science Conference Proceedings (OSTI)

This article discusses several models for background error correlation matrices using the wavelet diagonal assumption and the diffusion operator. The most general properties of filtering local correlation functions, with wavelet formulations, are ...

Olivier Pannekoucke

2009-09-01T23:59:59.000Z

177

Microwave Properties of Ice-Phase Hydrometeors for Radar and Radiometers: Sensitivity to Model Assumptions  

Science Conference Proceedings (OSTI)

A simplified framework is presented for assessing the qualitative sensitivities of computed microwave properties, satellite brightness temperatures, and radar reflectivities to assumptions concerning the physical properties of ice-phase ...

Benjamin T. Johnson; Grant W. Petty; Gail Skofronick-Jackson

2012-12-01T23:59:59.000Z

178

Background on Quantum Key Distribution  

Science Conference Proceedings (OSTI)

... Background on Quantum Key Distribution. ... If someone, referred to by cryptographers as Eve, tries to eavesdrop on the transmission, she will not ...

2011-08-02T23:59:59.000Z

179

What were the key energy commodity price trends in 2011?  

Reports and Publications (EIA)

Energy commodity price trends varied widely during 2011. Crude oil and petroleum products prices increased during 2011, while natural gas, coal, and electricity prices declined. This article provides an overview of key energy commodity price trends in 2011 based on prices seen in futures markets.

2012-02-14T23:59:59.000Z

180

Security of differential phase shift quantum key distribution against individual attacks  

E-Print Network (OSTI)

We derive a proof of security for the Differential Phase Shift Quantum Key Distribution (DPSQKD) protocol under the assumption that Eve is restricted to individual attacks. The security proof is derived by bounding the average collision probability, which leads directly to a bound on Eve's mutual information on the final key. The security proof applies to realistic sources based on pulsed coherent light. We then compare individual attacks to sequential attacks and show that individual attacks are more powerful.

Edo Waks; Hiroki Takesue; Yoshihisa Yamamoto

2005-08-15T23:59:59.000Z

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


181

Key Activities | Department of Energy  

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

Key Activities Key Activities Key Activities The Water Power Program conducts work in four key areas at the forefront of water power research. The Program is structured to help the United States meet its growing energy demands sustainably and cost-effectively by developing innovative renewable water power technologies, breaking down market barriers to deployment, building the infrastructure to test new technologies, and assessing water power resources for integration into our nation's grid. Research and Development Introduce and advance new marine and hydrokinetic technologies to provide sustainable and cost-effective renewable energy from the nation's waves, tides, currents, and ocean thermal gradients. Research and develop innovative hydropower technologies to sustainably tap our country's diverse water resources including rivers,

182

Key China Energy Statistics 2011  

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

1 Title Key China Energy Statistics 2011 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

183

Key China Energy Statistics 2012  

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

2 Title Key China Energy Statistics 2012 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

184

Annual Energy Outlook 2001-Appendix G: Major Assumptions for the Forecasts  

Gasoline and Diesel Fuel Update (EIA)

Forecasts Forecasts Summary of the AEO2001 Cases/ Scenarios - Appendix Table G1 bullet1.gif (843 bytes) Model Results (Formats - PDF, ZIP) - Appendix Tables - Reference Case - 1998 to 2020 bullet1.gif (843 bytes) Download Report - Entire AEO2001 (PDF) - AEO2001 by Chapters (PDF) bullet1.gif (843 bytes) Acronyms bullet1.gif (843 bytes) Contacts Related Links bullet1.gif (843 bytes) Assumptions to the AEO2001 bullet1.gif (843 bytes) Supplemental Data to the AEO2001 (Only available on the Web) - Regional and more detailed AEO 2001 Reference Case Results - 1998, 2000 to 2020 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Forecast Homepage bullet1.gif (843 bytes) EIA Homepage Appendix G Major Assumptions for the Forecasts Component Modules Major Assumptions for the Annual Energy Outlook 2001

185

On the use of the parabolic concentration profile assumption for a rotary desiccant dehumidifier  

SciTech Connect

The current work describes a model for a desiccant dehumidifier which uses a parabolic concentration profile assumption to model the diffusion resistance inside the desiccant particle. The relative merits of the parabolic concentration profile model compared with widely utilized rotary desiccant wheel models are discussed. The periodic steady-state parabolic concentration profile model developed is efficient and can accommodate a variety of materials. These features make it an excellent tool for design studies requiring repetitive desiccant wheel simulations. A quartic concentration profile assumption was also investigated which yielded a 2.8 percent average improvement in prediction error over the parabolic model.

Chant, E.E. [Univ. of Turabo, Gurabo (Puerto Rico); Jeter, S.M. [Georgia Inst. of Technology, Atlanta, GA (United States). George W. Woodruff School of Mechanical Engineering

1995-02-01T23:59:59.000Z

186

Sensitivity of Rooftop PV Projections in the SunShot Vision Study to Market Assumptions  

Science Conference Proceedings (OSTI)

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The SolarDS model was used to simulate rooftop PV demand for this study, based on several PV market assumptions--future electricity rates, customer access to financing, and others--in addition to the SunShot PV price projections. This paper finds that modeled PV demand is highly sensitive to several non-price market assumptions, particularly PV financing parameters.

Drury, E.; Denholm, P.; Margolis, R.

2013-01-01T23:59:59.000Z

187

Time varying, multivariate volume data reduction  

SciTech Connect

Large-scale supercomputing is revolutionizing the way science is conducted. A growing challenge, however, is understanding the massive quantities of data produced by large-scale simulations. The data, typically time-varying, multivariate, and volumetric, can occupy from hundreds of gigabytes to several terabytes of storage space. Transferring and processing volume data of such sizes is prohibitively expensive and resource intensive. Although it may not be possible to entirely alleviate these problems, data compression should be considered as part of a viable solution, especially when the primary means of data analysis is volume rendering. In this paper we present our study of multivariate compression, which exploits correlations among related variables, for volume rendering. Two configurations for multidimensional compression based on vector quantization are examined. We emphasize quality reconstruction and interactive rendering, which leads us to a solution using graphics hardware to perform on-the-fly decompression during rendering. In this paper we present a solution which addresses the need for data reduction in large supercomputing environments where data resulting from simulations occupies tremendous amounts of storage. Our solution employs a lossy encoding scheme to acrueve data reduction with several options in terms of rate-distortion behavior. We focus on encoding of multiple variables together, with optional compression in space and time. The compressed volumes can be rendered directly with commodity graphics cards at interactive frame rates and rendering quality similar to that of static volume renderers. Compression results using a multivariate time-varying data set indicate that encoding multiple variables results in acceptable performance in the case of spatial and temporal encoding as compared to independent compression of variables. The relative performance of spatial vs. temporal compression is data dependent, although temporal compression has the advantage of offering smooth animations, while spatial compression can handle volumes of larger dimensions.

Ahrens, James P [Los Alamos National Laboratory; Fout, Nathaniel [UC DAVIS; Ma, Kwan - Liu [UC DAVIS

2010-01-01T23:59:59.000Z

188

Biennial Assessment of the Fifth Power Plan Gas Turbine Power Plant Planning Assumptions  

E-Print Network (OSTI)

Biennial Assessment of the Fifth Power Plan Gas Turbine Power Plant Planning Assumptions October 17, 2006 Simple- and combined-cycle gas turbine power plants fuelled by natural gas are among the bulk-emission and efficient gas turbine technology made combined-cycle gas turbine power plants the "resource of choice

189

External review of the thermal energy storage (TES) cogeneration study assumptions. Final report  

DOE Green Energy (OSTI)

This report is to provide a detailed review of the basic assumptions made in the design, sizing, performance, and economic models used in the thermal energy storage (TES)/cogeneration feasibility studies conducted by Pacific Northwest Laboratory (PNL) staff. This report is the deliverable required under the contract.

Lai, B.Y.; Poirier, R.N. [Chicago Bridge and Iron Technical Services Co., Plainfield, IL (United States)

1996-08-01T23:59:59.000Z

190

EPAct Transportation Regulatory Activities: Key Terms  

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

Key Terms Key Terms to someone by E-mail Share EPAct Transportation Regulatory Activities: Key Terms on Facebook Tweet about EPAct Transportation Regulatory Activities: Key Terms on Twitter Bookmark EPAct Transportation Regulatory Activities: Key Terms on Google Bookmark EPAct Transportation Regulatory Activities: Key Terms on Delicious Rank EPAct Transportation Regulatory Activities: Key Terms on Digg Find More places to share EPAct Transportation Regulatory Activities: Key Terms on AddThis.com... Home About Covered Fleets Compliance Methods Alternative Fuel Petitions Resources Guidance Documents Statutes & Regulations Program Annual Reports Fact Sheets Newsletter Case Studies Workshops Tools Key Terms FAQs Key Terms The Energy Policy Act (EPAct) includes specific terminology related to

191

EPAct Transportation Regulatory Activities: Key Federal Statutes  

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

Key Key Federal Statutes to someone by E-mail Share EPAct Transportation Regulatory Activities: Key Federal Statutes on Facebook Tweet about EPAct Transportation Regulatory Activities: Key Federal Statutes on Twitter Bookmark EPAct Transportation Regulatory Activities: Key Federal Statutes on Google Bookmark EPAct Transportation Regulatory Activities: Key Federal Statutes on Delicious Rank EPAct Transportation Regulatory Activities: Key Federal Statutes on Digg Find More places to share EPAct Transportation Regulatory Activities: Key Federal Statutes on AddThis.com... Home About Contacts Covered Fleets Compliance Methods Alternative Fuel Petitions Resources Key Federal Statutes These are excerpts from federal statutes that established key Energy Policy Act (EPAct) transportation regulatory activities.

192

Key Workplace Documents Federal Publications  

E-Print Network (OSTI)

, the Administration in 2007 concluded agreements with China on toys, food and feed, drugs and medical devicesKey Workplace Documents Federal Publications Cornell University ILR School Year 2008 China/498 #12;Order Code RL33536 China-U.S. Trade Issues Updated March 7, 2008 Wayne M. Morrison Specialist

193

KIDS: keyed intrusion detection system  

Science Conference Proceedings (OSTI)

Since most current network attacks happen at the application layer, analysis of packet payload is necessary for their detection. Unfortunately malicious packets may be crafted to mimic normal payload, and so avoid detection if the anomaly detection method ... Keywords: Kerckhoffs' principle, anomaly detection, keyed IDS, network intrusion detection, word model

Sasa Mrdovic; Branislava Drazenovic

2010-07-01T23:59:59.000Z

194

Key technology trends - Satellite systems  

Science Conference Proceedings (OSTI)

This paper is based on material extracted from the WTEC Panel Report Global Satellite Communications Technology and Systems, December 1998. It presents an overview of key technology trends in communications satellites in the last few years. After the ... Keywords: Communications satellites, Satellite communications, Satellite technology overview

Charles W. Bostian; William T. Brandon; Alfred U. Mac Rae; Christoph E. Mahle; Stephen A. Townes

2000-08-01T23:59:59.000Z

195

Paducah DUF6 Conversion Final EIS - Chapter 4: Environmental Impact Assessment Approach, Assumptions, and Methodology  

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

Paducah DUF Paducah DUF 6 Conversion Final EIS 4 ENVIRONMENTAL IMPACT ASSESSMENT APPROACH, ASSUMPTIONS, AND METHODOLOGY This EIS evaluates potential impacts on human health and the natural environment from building and operating a DUF 6 conversion facility at three alternative locations at the Paducah site and for a no action alternative. These impacts might be positive, in that they would improve conditions in the human or natural environment, or negative, in that they would cause a decline in those conditions. This chapter provides an overview of the methods used to estimate the potential impacts associated with the EIS alternatives, summarizes the major assumptions that formed the basis of the evaluation, and provides some background information on human health

196

GRI baseline projection: Methodology and assumptions 1996 edition. Topical report, January-December 1995  

Science Conference Proceedings (OSTI)

The report documents the methodology employed in producing the 1996 Edition of the GRI Baseline Projection. DRI/McGraw-Hill`s Energy Group (DRI) maintains an energy modeling system for the Gas Research Institute (GRI) that is used to produce an annual projection of the supply and demand for energy by regions in the United States. The 1996 Edition of the GRI Baseline Projection is produced using several different models. The models analyze various pieces of the U.S. energy markets and their solutions are based on a framework of exogenous assumptions provided by GRI. The report describes the integration and solution procedures of the models and the assumptions used to produce the final projection results.

Rhodes, M.R.; Baxter, R.P.; Nottingham, R.P.

1996-04-01T23:59:59.000Z

197

GRI baseline projection: Methodology and assumptions 1995 edition. Topical report, January-December 1994  

SciTech Connect

The report documents the methodology employed in producing the 1995 Edition of the GRI Baseline Projection. DRI/McGraw-Hill`s Energy Group (DRI) maintains an energy modeling system for the Gas Research Institute (GRI) that is used to produce an annual projection of the supply and demand for energy by regions in the United States. The 1995 Edition of the GRI Baseline Projection is produced using several different models. The models analyze various pieces of the U.S. energy markets and their solutions are based on a framework of exogeneous assumptions provided by GRI. The report describes the integration and solution procedures of the models and the assumptions used to produce the final projection results.

Baxter, R.P.; Silveira, T.S.; Harshbarger, S.L.

1995-02-01T23:59:59.000Z

198

EIA-Assumptions to the Annual Energy Outlook - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2007 International Energy Module The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads exogenously derived supply curves, initial price paths and international regional supply and demand levels into NEMS. These quantities are not modeled directly in NEMS because NEMS is not an international model. Previous versions of the IEM adjusted these quantities after reading in initial values. In an attempt to more closely integrate the AEO2007 with the IEO2006 and the STEO some functionality was removed from the IEM. More analyst time was devoted to analyzing price relationships between marker crude oils and refined products. A new exogenous oil supply model, Generate World Oil Balances (GWOB), was also developed to incorporate actual investment occurring in the international oil market through 2015 and resource assumptions through 2030. The GWOB model provides annual country level oil production detail for eight conventional and unconventional oils.

199

EIA-Assumptions to the Annual Energy Outlook - Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2007 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2007, DOE/EIA- M068(2007). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

200

Stability of stationary and time-varying nongyrotropic particle distributions  

E-Print Network (OSTI)

Abstract. The ubiquity of nongyrotropic particle populations in space plasmas warrants the study of their characteristics, in particular their stability. The unperturbed nongyrotropic distribution functions in homogeneous media without sources and sinks (closed phase space) must be rotating and time-varying (TNG), whereas consideration of open phase spaces allows for the occurrence of homogeneous and stationary distributions (SNG). The free energy brought about by the introduction of gyrophase organization in a particle population can destabilize otherwise thoroughly stable magnetoplasmas (or, a fortiori, enhance pre-existing gyrotropic instabilities) and feed intense wave growth both in TNG and SNG environments: The nongyrotropic (electron or ion) species can originate unstable coupling among the gyrotropic characteristic waves. The stability properties of these two types of homogeneous nongyrotropy shall be contrasted for parallel (with respect to the ambient magnetic eld) and perpendicular propagation, and their potential role as wave activity sources shall be illustrated resorting to solutions of the appropriate dispersion equations and numerical simulations. Key words. Space plasma physics (waves and instabilities) Magnetospheric physics (plasma waves and instabilities) Interplanetary physics (plasma waves and turbulence) 1

A. L. Brinca

1998-01-01T23:59:59.000Z

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


201

First National Climate Assessment: Key Findings  

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

in the next 100 years. A wider range of outcomes is possible. Differing regional impacts Climate change will vary widely across the US. Temperature increases will vary somewhat...

202

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network (OSTI)

A comparison of national energy consumption by fuel typeenergy consumption in homes under differing assumptions, scenarios, and policies. At the national

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

203

Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results  

E-Print Network (OSTI)

G. Koomey. 1994. Residential Appliance Data, Assumptions andunits) Table A 3 : Number of Appliances in Existing Homes (sector, including appliances and heating, ventilation, and

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

204

Daylight operation of a free space, entanglement-based quantum key distribution system  

E-Print Network (OSTI)

Many quantum key distribution (QKD) implementations using a free space transmission path are restricted to operation at night time in order to distinguish the signal photons used for a secure key establishment from background light. Here, we present a lean entanglement-based QKD system overcoming that imitation. By implementing spectral, spatial and temporal filtering techniques, we were able to establish a secure key continuously over several days under varying light and weather conditions.

Peloso, Matthew P; Ho, Caleb; Lamas-Linares, Antia; Kurtsiefer, Christian

2008-01-01T23:59:59.000Z

205

Daylight operation of a free space, entanglement-based quantum key distribution system  

E-Print Network (OSTI)

Many quantum key distribution (QKD) implementations using a free space transmission path are restricted to operation at night time in order to distinguish the signal photons used for a secure key establishment from background light. Here, we present a lean entanglement-based QKD system overcoming that imitation. By implementing spectral, spatial and temporal filtering techniques, we were able to establish a secure key continuously over several days under varying light and weather conditions.

Matthew P. Peloso; Ilja Gerhardt; Caleb Ho; Antia Lamas-Linares; Christian Kurtsiefer

2008-12-10T23:59:59.000Z

206

Rotating Plasma Finding is Key for ITER  

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

Plasma Finding is Key for ITER Rotating Plasma Finding is Key for ITER PlasmaTurbulenceCSChang.png Tokamak turbulence showing inward-propagating streamers from normalized...

207

Quasi-biennial Oscillation and Its Analog under the Assumption of Wave Self-Acceleration  

Science Conference Proceedings (OSTI)

We have investigated numerically, using a slowly varying model, how the behavior of the quasi-biennial oscillation (QBO) in the equatorial stratosphere and its analog in the laboratory water tank are modified when wave phase velocities are ...

Hiroshi Tanaka; Nobuyuki Yoshizawa

1985-11-01T23:59:59.000Z

208

Vehicle Technologies Office: Key Activities in Vehicles  

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

Key Activities in Key Activities in Vehicles to someone by E-mail Share Vehicle Technologies Office: Key Activities in Vehicles on Facebook Tweet about Vehicle Technologies Office: Key Activities in Vehicles on Twitter Bookmark Vehicle Technologies Office: Key Activities in Vehicles on Google Bookmark Vehicle Technologies Office: Key Activities in Vehicles on Delicious Rank Vehicle Technologies Office: Key Activities in Vehicles on Digg Find More places to share Vehicle Technologies Office: Key Activities in Vehicles on AddThis.com... Key Activities Mission, Vision, & Goals Plans, Implementation, & Results Organization & Contacts National Laboratories Budget Partnerships Key Activities in Vehicles We conduct work in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or

209

Fuel Cell Technologies Office: Key Activities  

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

Key Activities to Key Activities to someone by E-mail Share Fuel Cell Technologies Office: Key Activities on Facebook Tweet about Fuel Cell Technologies Office: Key Activities on Twitter Bookmark Fuel Cell Technologies Office: Key Activities on Google Bookmark Fuel Cell Technologies Office: Key Activities on Delicious Rank Fuel Cell Technologies Office: Key Activities on Digg Find More places to share Fuel Cell Technologies Office: Key Activities on AddThis.com... Key Activities Plans, Implementation, & Results Accomplishments Organization Chart & Contacts Quick Links Hydrogen Production Hydrogen Delivery Hydrogen Storage Fuel Cells Technology Validation Manufacturing Codes & Standards Education Systems Analysis Contacts Key Activities The Fuel Cell Technologies Office conducts work in several key areas to

210

Bases, Assumptions, and Results of the Flowsheet Calculations for the Decision Phase Salt Disposition Alternatives  

SciTech Connect

The High Level Waste (HLW) Salt Disposition Systems Engineering Team was formed on March 13, 1998, and chartered to identify options, evaluate alternatives, and recommend a selected alternative(s) for processing HLW salt to a permitted wasteform. This requirement arises because the existing In-Tank Precipitation process at the Savannah River Site, as currently configured, cannot simultaneously meet the HLW production and Authorization Basis safety requirements. This engineering study was performed in four phases. This document provides the technical bases, assumptions, and results of this engineering study.

Dimenna, R.A.; Jacobs, R.A.; Taylor, G.A.; Durate, O.E.; Paul, P.K.; Elder, H.H.; Pike, J.A.; Fowler, J.R.; Rutland, P.L.; Gregory, M.V.; Smith III, F.G.; Hang, T.; Subosits, S.G.; Campbell, S.G.

2001-03-26T23:59:59.000Z

211

Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

LBL-34046 UC-350 Residential Appliance Data, Assumptions and Methodology for End-Use Forecasting. DE-AC03-76SF00098 #12;i ABSTRACT This report details the data, assumptions and methodology for end-use provided by the Appliance Model in the Residential End-Use Energy Planning System (REEPS), which

212

VARI-RO (TM) Desalting Pilot Plant Testing and Evaluation  

Science Conference Proceedings (OSTI)

VARI-RO(TM) is a promising pumping and energy recovery technology for the reverse osmosis (RO) desalination process. VARI-RO can offer certain operational benefits over existing RO methods; for example, it may reduce energy consumption.

1999-09-27T23:59:59.000Z

213

Software: VARI3D - Nuclear Engineering Division (Argonne)  

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

OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Software VARI3D (Perturbation Theory Codes) Bookmark and Share Standard Code Description VARI3D is a generalized...

214

Algorithms for dynamic multicast key distribution  

Science Conference Proceedings (OSTI)

We study the problem of multicast key distribution for group security. Secure group communication systems typically rely on a group key, which is a secret shared among the members of the group. This key is used to provide privacy by encrypting all group ... Keywords: Dynamic key distribution, experimental algorithms, multicast

Justin Goshi; Richard E. Ladner

2007-02-01T23:59:59.000Z

215

Multiparty quantum key agreement with single particles  

Science Conference Proceedings (OSTI)

Two conditions must be satisfied in a secure quantum key agreement (QKA) protocol: (1) outside eavesdroppers cannot gain the generated key without introducing any error; (2) the generated key cannot be determined by any non-trivial subset of the participants. ... Keywords: Quantum cryptography, Quantum information, Quantum key agreement

Bin Liu; Fei Gao; Wei Huang; Qiao-Yan Wen

2013-04-01T23:59:59.000Z

216

Confronting mass-varying neutrinos with MiniBooNE  

E-Print Network (OSTI)

We study the proposal that mass-varying neutrinos could provide an explanation for the LSND signal for \\bar\

V. Barger; D. Marfatia; K. Whisnant

2005-09-16T23:59:59.000Z

217

SunShot Initiative: Key Activities  

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

Key Activities Key Activities Printable Version Share this resource Send a link to SunShot Initiative: Key Activities to someone by E-mail Share SunShot Initiative: Key Activities on Facebook Tweet about SunShot Initiative: Key Activities on Twitter Bookmark SunShot Initiative: Key Activities on Google Bookmark SunShot Initiative: Key Activities on Delicious Rank SunShot Initiative: Key Activities on Digg Find More places to share SunShot Initiative: Key Activities on AddThis.com... Concentrating Solar Power Photovoltaics Systems Integration Balance of Systems Key Activities Under the SunShot Initiative, the DOE Solar Office issues competitive solicitations that fund selective research projects aimed at transforming the ways the United States generates, stores, and utilizes solar energy.

218

Alternative Fuels Data Center: Key Federal Legislation  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Key Federal Key Federal Legislation to someone by E-mail Share Alternative Fuels Data Center: Key Federal Legislation on Facebook Tweet about Alternative Fuels Data Center: Key Federal Legislation on Twitter Bookmark Alternative Fuels Data Center: Key Federal Legislation on Google Bookmark Alternative Fuels Data Center: Key Federal Legislation on Delicious Rank Alternative Fuels Data Center: Key Federal Legislation on Digg Find More places to share Alternative Fuels Data Center: Key Federal Legislation on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Key Federal Legislation The information below includes a brief chronology and summaries of key federal legislation related to alternative fuels and vehicles, air quality,

219

Renewable Energy Community: Key Elements  

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

of Energy of Energy Office of Energy Efficiency & Renewable Energy National Renewable Energy Laboratory Innovation for Our Energy Future A Renewable Energy Community: Key Elements A reinvented community to meet untapped customer needs for shelter and transportation with minimal environmental impacts, stable energy costs, and a sense of belonging N. Carlisle, J. Elling, and T. Penney Technical Report NREL/TP-540-42774 January 2008 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle

220

A verifiable random function with short proofs and keys  

E-Print Network (OSTI)

Abstract. We give a simple and efficient construction of a verifiable random function (VRF) on bilinear groups. Our construction is direct. In contrast to prior VRF constructions [14, 15], it avoids using an inefficient Goldreich-Levin transformation, thereby saving several factors in security. Our proofs of security are based on a decisional bilinear Diffie-Hellman inversion assumption, which seems reasonable given current state of knowledge. For small message spaces, our VRFs proofs and keys have constant size. By utilizing a collision-resistant hash function, our VRF can also be used with arbitrary message spaces. We show that our scheme can be instantiated with an elliptic group of very reasonable size. Furthermore, it can be made distributed and proactive. 1

Yevgeniy Dodis; R Yampolskiy

2005-01-01T23:59:59.000Z

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


221

Assumptions to the Annual Energy Outlook 2001 - Table 3. Coal-Related  

Gasoline and Diesel Fuel Update (EIA)

Coal-Related Methane Assumptions Coal-Related Methane Assumptions Northern Appalachia Central Appalachia Southern Appalachia Eastern Interior Western Fraction of underground coal production at: Gassy mines 0.885 0.368 0.971 0.876 0.681 Nongassy mines 0.115 0.632 0.029 0.124 0.319 Production from mines with degasification systems (fraction of underground production) 0.541 0.074 0.810 0.067 0.056 Emission factors (kilograms methane per short ton of coal produced) Underground Mining Gassy mines 6.047 5.641 27.346 2.988 6.027 Nongassy mines 0.362 0.076 15.959 0.285 0.245 Degassified mines 4.085 37.724 22.025 0.310 0.000 Surface Mining 0.706 0.706 0.706 0.706 0.706 Post-Mining, underground-mined 1.505 1.505 1.505 1.505 1.505 Post-Mining, surface-mined 0.061 0.061 0.061 0.061 0.061 Methane recovery at active coal mines

222

EIA-Assumptions to the Annual Energy Outlook - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2007 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2006), (Washington, DC, 2006). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

223

EIA - Assumptions to the Annual Energy Outlook 2008 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2008 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Module. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2007), (Washington, DC, 2007). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

224

EIA-Assumptions to the Annual Energy Outlook - Petroleum Market Module  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2007 Petroleum Market Module Figure 9. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, and bioesters), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining

225

EIA-Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2007 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new

226

EIA-Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2007 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

227

EIA-Assumptions to the Annual Energy Outlook - National Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2007 National Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

228

EIA-Assumptions to the Annual Energy Outlook - Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2007 Commercial Demand Module The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.12

229

Assumptions to the Annual Energy Outlook 2000-Table 1. Summary of the  

Gasoline and Diesel Fuel Update (EIA)

0 Cases 0 Cases Case Name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully Integrated Low Economic Growth Gross Domestic product grows at an average annual rate of 1.7 percent, compared to the reference case growth of 2.2 percent. Fully Integrated High Economic Growth Gross domestic product grows at an average annual rate of 2.6 percent, compared to the reference case growth of 2.2 percent. Fully Integrated Low World Oil Price World oil prices are $14.90 per barrel in 2020, compared to $22.04 per barrel in the reference case. Fully Integrated High World Oil Price World oil prices are $28.04 per barrel in 2020, compared to $22.04 per barrel in the reference case. Fully Integrated Residential: 2000 Technology

230

Assumptions to the Annual Energy Outlook - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumption to the Annual Energy Outlook Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Having problems, call our National Energy Information Center at 202-586-8800 for help. Table 50. Crude Oil Technically Recoverable Resources (Billion barrels) Printer Friendly Version Crude Oil Resource Category As of January 1, 2002 Undiscovered 56.02 Onshore 19.33 Northeast 1.47 Gulf Coast 4.76 Midcontinent 1.12 Southwest 3.25 Rocky Moutain 5.73 West Coast 3.00 Offshore 36.69 Deep (>200 meter W.D.) 35.01 Shallow (0-200 meter W.D.) 1.69 Inferred Reserves 49.14 Onshore 37.78 Northeast 0.79 Gulf Coast 0.80 Midcontinent 3.73 Southwest 14.61 Rocky Mountain 9.91 West Coast 7.94

231

EIA - Assumptions to the Annual Energy Outlook 2009 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2009 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. Table 9.1. Crude Oil Technically Recoverable Resources. Need help, contact the Naitonal Energy Information Center at 202-586-8800. printer-friendly version Table 9.2. Natural Gas Technically Recoverable Resources. Need help, contact the National Energy Information Center at 202-586-8800. Table 9.2. Continued printer-friendly version Table 9.3. Assumed Size and Initial Production year of Major Announced Deepwater Discoveries. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 9.4. Assumed Annual Rates of Technological Progress for Conventional Crude Oil and Natural Gas Sources. Need help, contact the National Energy Information Center at 202-586-8800.

232

Assumptions to the Annual Energy Outlook 2001 - Table 1. Summary of AEO2001  

Gasoline and Diesel Fuel Update (EIA)

1 Cases 1 Cases Case name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully integrated Low Economic Growth Gross domestic product grows at an average annual rate of 2.5 percent, compared to the reference case growth of 3.0 percent. Fully integrated High Economic Growth Gross domestic product grows at an average annual rate of 3.5 percent, compared to the reference case growth of 3.0 percent. Fully integrated Low World Oil Price World oil prices are $15.10 per barrel in 2020, compared to $22.41 per barrel in the reference case. Fully integrated High World Oil Price World oil prices are $28.42 per barrel in 2020, compared to $22.41 per barrel in the reference case. Fully integrated Residential: 2001 Technology

233

EIA - Assumptions to the Annual Energy Outlook 2010 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2010 Oil and Gas Supply Module Figure 8. Natural Gas Transmission and Distribution Model Regions. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas natural gas exploration and development on a regional basis (Figure 7). The OGSM is organized into 4 submodules: Onshore Lower 48 Oil and Gas Supply Submodule, Offshore Oil and Gas Supply Submodule, Oil Shale Supply submodule, and Alaska Oil and Gas Supply Submodule. A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2010), (Washington, DC, 2010). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural

234

EIA-Assumptions to the Annual Energy Outlook - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2007 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS25 data.

235

Washington International Renewable Energy Conference 2008 Pledges: Methodology and Assumptions Summary  

Science Conference Proceedings (OSTI)

The 2008 Washington International Renewable Energy Conference (WIREC) was held in Washington, D.C., from March 4-6, 2008, and involved nearly 9,000 people from 125 countries. The event brought together worldwide leaders in renewable energy (RE) from governments, international organizations, nongovernmental organizations, and the private sector to discuss the role that renewables can play in alleviating poverty, growing economies, and passing on a healthy planet to future generations. The conference concluded with more than 140 governments, international organizations, and private-sector representatives pledging to advance the uptake of renewable energy. The U.S. government authorized the National Renewable Energy Laboratory (NREL) to estimate the carbon dioxide (CO2) savings that would result from the pledges made at the 2008 conference. This report describes the methodology and assumptions used by NREL in quantifying the potential CO2 reductions derived from those pledges.

Babiuch, B.; Bilello, D. E.; Cowlin, S. C.; Mann, M.; Wise, A.

2008-08-01T23:59:59.000Z

236

Design assumptions and bases for small D-T-fueled spherical tokamak (ST) fusion core  

SciTech Connect

Recent progress in defining the assumptions and clarifying the bases for a small D-T-fueled ST fusion core are presented. The paper covers several issues in the physics of ST plasmas, the technology of neutral beam injection, the engineering design configuration, and the center leg material under intense neutron irradiation. This progress was driven by the exciting data from pioneering ST experiments, a heightened interest in proof-of-principle experiments at the MA level in plasma current, and the initiation of the first conceptual design study of the small ST fusion core. The needs recently identified for a restructured fusion energy sciences program have provided a timely impetus for examining the subject of this paper. Our results, though preliminary in nature, strengthen the case for the potential realism and attractiveness of the ST approach.

Peng, Yueng Kay Martin [ORNL; Haines, J.R. [Oak Ridge National Laboratory (ORNL)

1996-01-01T23:59:59.000Z

237

CRITICAL ASSUMPTIONS IN THE F-TANK FARM CLOSURE OPERATIONAL DOCUMENTATION REGARDING WASTE TANK INTERNAL CONFIGURATIONS  

SciTech Connect

The intent of this document is to provide clarification of critical assumptions regarding the internal configurations of liquid waste tanks at operational closure, with respect to F-Tank Farm (FTF) closure documentation. For the purposes of this document, FTF closure documentation includes: (1) Performance Assessment for the F-Tank Farm at the Savannah River Site (hereafter referred to as the FTF PA) (SRS-REG-2007-00002), (2) Basis for Section 3116 Determination for Closure of F-Tank Farm at the Savannah River Site (DOE/SRS-WD-2012-001), (3) Tier 1 Closure Plan for the F-Area Waste Tank Systems at the Savannah River Site (SRR-CWDA-2010-00147), (4) F-Tank Farm Tanks 18 and 19 DOE Manual 435.1-1 Tier 2 Closure Plan Savannah River Site (SRR-CWDA-2011-00015), (5) Industrial Wastewater Closure Module for the Liquid Waste Tanks 18 and 19 (SRRCWDA-2010-00003), and (6) Tank 18/Tank 19 Special Analysis for the Performance Assessment for the F-Tank Farm at the Savannah River Site (hereafter referred to as the Tank 18/Tank 19 Special Analysis) (SRR-CWDA-2010-00124). Note that the first three FTF closure documents listed apply to the entire FTF, whereas the last three FTF closure documents listed are specific to Tanks 18 and 19. These two waste tanks are expected to be the first two tanks to be grouted and operationally closed under the current suite of FTF closure documents and many of the assumptions and approaches that apply to these two tanks are also applicable to the other FTF waste tanks and operational closure processes.

Hommel, S.; Fountain, D.

2012-03-28T23:59:59.000Z

238

The influence of animal mobility on the assumption of uniform distances in aerial line transect surveys  

E-Print Network (OSTI)

for estimating animal density from aerial surveys. Analysis of line transect distance data usually relies test evidence for non- uniformity using double-observer distance data from two aerial surveys of five in Queensland. Key words: aerial surveys, double platform distance sampling, independent observers, responsive

Buckland, Steve

239

Proactive key management protocol for multicast services  

Science Conference Proceedings (OSTI)

A group key management is essential scheme guaranteeing data confidentiality in multicast. To provide the strict secrecy in group communication, the rekeying delay has to be minimized. In this paper, we propose a new group key management protocol, called ...

Dong-Hyun Je; Seung-Woo Seo

2009-06-01T23:59:59.000Z

240

On multi-column foreign key discovery  

Science Conference Proceedings (OSTI)

A foreign/primary key relationship between relational tables is one of the most important constraints in a database. From a data analysis perspective, discovering foreign keys is a crucial step in understanding and working with the data. Nevertheless, ...

Meihui Zhang; Marios Hadjieleftheriou; Beng Chin Ooi; Cecilia M. Procopiuc; Divesh Srivastava

2010-09-01T23:59:59.000Z

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


241

Cryptographic Key Managment Workshop 2012-A Draft ...  

Science Conference Proceedings (OSTI)

... Specify the key generation methods used Specify the random number generators used Specify ... primary and backup facilities ...

2012-09-11T23:59:59.000Z

242

Group-Based Authentication and Key Agreement  

Science Conference Proceedings (OSTI)

This paper presents an authentication and key agreement protocol to streamline communication activities for a group of mobile stations (MSs) roaming from the same home network (HN) to a serving network (SN). In such a roaming scenario, conventional schemes ... Keywords: Authentication and key agreement, Group key, Roaming, Security, Wireless network

Yu-Wen Chen; Jui-Tang Wang; Kuang-Hui Chi; Chien-Chao Tseng

2012-02-01T23:59:59.000Z

243

Electrostatic generator/motor having rotors of varying ...  

Electrostatic generator/motor having rotors of varying thickness and a central stator electrically connected together into two groups United States Patent

244

Adoption of ENERGY STAR equipment varies among appliances ...  

U.S. Energy Information Administration (EIA)

Appliances with the ENERGY STAR logo are intended to represent more-efficient options in the marketplace. The adoption of this more-efficient equipment can vary ...

245

Decay processes in an inhomogeneous time-varying plasma  

SciTech Connect

The decay of a homogeneous pump field in an inhomogeneous time-varying plasma into a plasma wave and an ion-acoustic wave is considered theoretically.

Andreev, A.A.; Fedorov, V.I.

1977-12-01T23:59:59.000Z

246

Electricity generation from non-hydro renewable sources varies ...  

U.S. Energy Information Administration (EIA)

May 2, 2012 Electricity generation from non-hydro renewable sources varies by state. Wind accounted for most non-hydro renewable generation in 2011, but sources of ...

247

DOE M 200.1-1 Chapter 9, Public Key Cryptography and Key Management  

Directives, Delegations, and Requirements

The use and management of certificate-based public key cryptography for the Department of Energy (DOE) requires the establishment of a public key ...

2000-02-15T23:59:59.000Z

248

Assessment of Gasification-Based Biorefining at Kraft Pulp and Paper Mills in the United States, Part A: Background and Assumptions  

Science Conference Proceedings (OSTI)

Commercialization of black liquor and biomass gasification technologies is anticipated in the 2010-2015 time frame, and synthesis gas from gasifiers can be converted into liquid fuels using catalytic synthesis technologies that are already commercially established in the gas-to-liquids or coal-to-liquids industries. This set of two papers describes key results from a major assessment of the prospective energy, environmental, and financial performance of commercial gasification-based biorefineries integrated with kraft pulp and paper mills [1]. Seven detailed biorefinery designs were developed for a reference mill in the southeastern United States, together with the associated mass/energy balances, air emissions estimates, and capital investment requirements. The biorefineries provide chemical recovery services and co-produce process steam for the mill, some electricity, and one of three liquid fuels: a Fischer-Tropsch synthetic crude oil (which could be refined to vehicle fuels at an existing petroleum refinery), dimethyl ether (a diesel engine fuel or propane substitute), or an ethanol-rich mixed-alcohol product. This paper describes the key assumptions that underlie the biorefinery designs. Part B will present analytical results.

Larson, E. D.; Consonni, S.; Katofsky, R. E.; Iisa, K.; Frederick, W. J., Jr.

2008-11-01T23:59:59.000Z

249

Time varying voltage combustion control and diagnostics sensor  

DOE Patents (OSTI)

A time-varying voltage is applied to an electrode, or a pair of electrodes, of a sensor installed in a fuel nozzle disposed adjacent the combustion zone of a continuous combustion system, such as of the gas turbine engine type. The time-varying voltage induces a time-varying current in the flame which is measured and used to determine flame capacitance using AC electrical circuit analysis. Flame capacitance is used to accurately determine the position of the flame from the sensor and the fuel/air ratio. The fuel and/or air flow rate (s) is/are then adjusted to provide reduced flame instability problems such as flashback, combustion dynamics and lean blowout, as well as reduced emissions. The time-varying voltage may be an alternating voltage and the time-varying current may be an alternating current.

Chorpening, Benjamin T. (Morgantown, WV); Thornton, Jimmy D. (Morgantown, WV); Huckaby, E. David (Morgantown, WV); Fincham, William (Fairmont, WV)

2011-04-19T23:59:59.000Z

250

EIA-Assumptions to the Annual Energy Outlook - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2007 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind.112 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

251

50-year-old assumptions about strength muscled aside | Argonne National  

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

C. David Williams with an X-ray diffraction apparatus used to measure lattice spacing of filaments in moth wing muscle samples. To view a larger version of the image, click on it. Credit: A. Kidder/University of Washington. C. David Williams with an X-ray diffraction apparatus used to measure lattice spacing of filaments in moth wing muscle samples. To view a larger version of the image, click on it. Credit: A. Kidder/University of Washington. C. David Williams with an X-ray diffraction apparatus used to measure lattice spacing of filaments in moth wing muscle samples. To view a larger version of the image, click on it. Credit: A. Kidder/University of Washington. To view a larger, downloadable version of the image, click on it. To view a larger, downloadable version of the image, click on it. 50-year-old assumptions about strength muscled aside July 11, 2013 Tweet EmailPrint LEMONT, Ill. - Doctors have a new way of thinking about how to treat heart and skeletal muscle diseases. Body builders have a new way of

252

Standard assumptions and methods for solar heating and cooling systems analysis  

DOE Green Energy (OSTI)

A set of inputs, assumptions, analytical methods, and a reporting format is presented to help compare the results of residential and commercial solar system analyses being performed by different investigators. By the common use of load data, meteorological data, economic parameters, and reporting format, researchers examining, for example, two types of collectors may more easily compare their results. For residential heating and cooling systems, three locations were selected. The weather data chosen to characterize these cities are the Typical Meteorological Year (TMY). A house for each location was defined that is typical of new construction in that locale. Hourly loads for each location were calculated using a computerized load model that interacts with the system specified inputs characterizing each house. Four locations for commercial cooling analyses were selected from among the existing sites for which TMYs were available. A light commercial (nominal 25-ton cooling load) office building was defined and is used in all four locations. Hourly cooling and heating loads were computed for each city and are available on magnetic tape from the Solar Energy Research Insititute (SERI).

Leboeuf, C.M.

1980-01-01T23:59:59.000Z

253

Quantum Key Distribution Protocol with User Authentication  

E-Print Network (OSTI)

We propose a quantum key distribution protocol with quantum based user authentication. User authentication is executed by validating the correlation of GHZ states. Alice and Bob can distribute a secure key using the remaining GHZ states after authentication. This secret key does not leak even to the arbitrator by the properties of the entanglement. We will show that our protocol is secure against the cloning attack.

Lee, H; Lee, D; Lim, J; Yang, H J; Lee, Hwayean; Lee, Sangjin; Lee, Donghoon; Lim, Jongin; Yang, HyungJin

2005-01-01T23:59:59.000Z

254

What are the Starting Points? Evaluating Base-Year Assumptions in the Asian Modeling Exercise  

SciTech Connect

A common feature of model inter-comparison efforts is that the base year numbers for important parameters such as population and GDP can differ substantially across models. This paper explores the sources and implications of this variation in Asian countries across the models participating in the Asian Modeling Exercise (AME). Because the models do not all have a common base year, each team was required to provide data for 2005 for comparison purposes. This paper compares the year 2005 information for different models, noting the degree of variation in important parameters, including population, GDP, primary energy, electricity, and CO2 emissions. It then explores the difference in these key parameters across different sources of base-year information. The analysis confirms that the sources provide different values for many key parameters. This variation across data sources and additional reasons why models might provide different base-year numbers, including differences in regional definitions, differences in model base year, and differences in GDP transformation methodologies, are then discussed in the context of the AME scenarios. Finally, the paper explores the implications of base-year variation on long-term model results.

Chaturvedi, Vaibhav; Waldhoff, Stephanie; Clarke, Leon E.; Fujimori, Shinichiro

2012-12-01T23:59:59.000Z

255

Comment on "Quantum dense key distribution"  

E-Print Network (OSTI)

In this Comment we question the security of recently proposed by Degiovanni et al. [Phys. Rev. A 69 (2004) 032310] scheme of quantum dense key distribution.

Antoni Wojcik

2004-05-07T23:59:59.000Z

256

Cryptographic Key Management Workshop 2009 - A Holistic ...  

Science Conference Proceedings (OSTI)

... policies Board of Directors CEO Protect critical data CSO/CISO CIO We aren't ... Encrypted Database Management Encrypted Tape Key Management ...

2012-05-07T23:59:59.000Z

257

CODATA Key Values for Thermodynamics - TMS  

Science Conference Proceedings (OSTI)

Feb 8, 2007 ... This site includes internationally agreed upon values for thermodynamic properties of key chemical substances established by the Committee...

258

Nanomechanics: New Test Measures Key Properties of ...  

Science Conference Proceedings (OSTI)

Nanomechanics: New Test Measures Key Properties of ... Tests using the wrinkle-crack method, however, show ... to the longest duration tested, 10 days ...

2012-10-18T23:59:59.000Z

259

Quantum key distribution network with wavelength addressing  

E-Print Network (OSTI)

Most traditional applications of quantum cryptography are point-to-point communications, in which only two users can exchange keys. In this letter, we present a network scheme that enable quantum key distribution between multi-user with wavelength addressing. Considering the current state of wavelength division multiplexing technique, dozens or hundreds of users can be connected to such a network and directly exchange keys with each other. With the scheme, a 4-user demonstration network was built up and key exchanges were performed.

Mo, X F; Han, Z F; Xu, F X; Zhang, T; Guo, Guang-Can; Han, Zheng-Fu; Mo, Xiao-Fan; Xu, Fang-Xing; Zhang, Tao

2006-01-01T23:59:59.000Z

260

New Quantum Key System Combines Speed, Distance  

Science Conference Proceedings (OSTI)

... a prototype high-speed quantum key distribution (QKD) system ... a theoretically unbreakable one-time pad encryption, transmission and decryption ...

2013-07-08T23:59:59.000Z

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


261

Two key questions about color superconductivity.  

E-Print Network (OSTI)

??We pose two key questions about color superconductivity: What are the effects of the large strange quark mass, and what are the observable consequences of (more)

Kundu, Joydip, 1977-

2004-01-01T23:59:59.000Z

262

Schedules of Key Environmental Impact Statements  

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

This document graphically displays the milestone dates and projected schedules of key Environmental Impact Statements (updated monthly).This chart represents anticipated activity and is not a...

263

BIASED RANDOM-KEY GENETIC ALGORITHMS WITH ...  

E-Print Network (OSTI)

Handbook of Metaheuristics. Kluwer. Academic Publishers, 2003. J.F. Gonalves and M.G.C. Resende. Biased random-key genetic algorithms for combinatorial...

264

Design and Analysis of Key Comparisons  

Science Conference Proceedings (OSTI)

... new methods, and make statistically best practices available ... to Key Comparisons such as data reporting and ... In the big picture, with the lowering ...

2010-11-18T23:59:59.000Z

265

Identity-based authenticated asymmetric group key agreement protocol  

Science Conference Proceedings (OSTI)

In identity-based public-key cryptography, an entity's public key can be easily derived from its identity. The direct derivation of public keys in identity-based public-key cryptography eliminates the need for certificates and solves certain public key ... Keywords: asymmetric group key agreement, bilinear map, group key agreement, identity-based public-key cryptography

Lei Zhang; Qianhong Wu; Bo Qin; Josep Domingo-Ferrer

2010-07-01T23:59:59.000Z

266

Supercritical Marine-Layer Flow along a Smoothly Varying Coastline  

Science Conference Proceedings (OSTI)

A model for hydraulically supercritical atmospheric marine-layer flow along a smoothly varying coastline is formulated and solved numerically. The model is motivated by a recent comparison of CODE observations to a simple hydraulic theory, which ...

R. M. Samelson

1992-09-01T23:59:59.000Z

267

Simulating Random Natural Variability in Time-Varying Atmospheric...  

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

Natural Variability in Time-Varying Atmospheric Concentrations of Toxic Gas from Pipeline Ruptures Speaker(s): David J. Wilson Date: February 4, 2004 - 12:00pm Location: Bldg....

268

Characterizing Highly Varying Loads Associated With the Steel Industry  

Science Conference Proceedings (OSTI)

This study examines the quality of power and the effects of the highly varying load on automatic generation control at a utility service territory that contains 22% of the United States' steel manufacturing capability.

2003-12-31T23:59:59.000Z

269

Type B Cyclogenesis in a Zonally Varying Flow  

Science Conference Proceedings (OSTI)

It is hypothesized that surface cyclogenesis in the Northern Hemisphere storm-track regions can be described by the structural modification of baroclinic wave packets traversing a zonally varying flow field. We test this hypothesis using a ...

Jeffrey S. Whitaker; Albert Barcilon

1992-10-01T23:59:59.000Z

270

External Time-Varying Fields and Electron Coherence  

E-Print Network (OSTI)

The effect of time-varying electromagnetic fields on electron coherence is investigated. A sinusoidal electromagnetic field produces a time varying Aharonov-Bohm phase. In a measurement of the interference pattern which averages over this phase, the effect is a loss of contrast. This is effectively a form of decoherence. We calculate the magnitude of this effect for various electromagnetic field configurations. The result seems to be sufficiently large to be observable.

Jen-Tsung Hsiang; L. H. Ford

2004-02-03T23:59:59.000Z

271

General quantum key distribution in higher dimension  

E-Print Network (OSTI)

We study a general quantum key distribution protocol in higher dimension. In this protocol, quantum states in arbitrary g+1 (1?g?d) out of all d+1 mutually unbiased bases in a d-dimensional system can be used for the key ...

Shi, Han-Duo

272

Robust key extraction from physical uncloneable functions  

Science Conference Proceedings (OSTI)

Physical Uncloneable Functions (PUFs) can be used as a cost-effective means to store key material in an uncloneable way. Due to the fact that the key material is obtained by performing measurements on a physical system, noise is inevitably present in ... Keywords: authentication, challenge-response pair, error correction, noise, physical uncloneable function, speckle pattern

B. kori?; P. Tuyls; W. Ophey

2005-06-01T23:59:59.000Z

273

residential sector key indicators | OpenEI  

Open Energy Info (EERE)

residential sector key indicators residential sector key indicators Dataset Summary Description This dataset is the 2009 United States Residential Sector Key Indicators and Consumption, part of the Source EIA Date Released March 01st, 2009 (5 years ago) Date Updated Unknown Keywords AEO consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon 2009 Residential Sector Key Indicators and Consumption (xls, 55.3 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote

274

Fuel Cell Technologies Office: Key Activities  

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

Key Activities Key Activities The Fuel Cell Technologies Office conducts work in several key areas to advance the development and commercialization of hydrogen and fuel cell technologies. Research, Development, and Demonstration Key areas of research, development, and demonstration (RD&D) include the following: Fuel Cell R&D, which seeks to improve the durability, reduce the cost, and improve the performance of fuel cell systems, through advances in fuel cell stack and balance of plant components Hydrogen Fuel R&D, which focuses on enabling the production of low-cost hydrogen fuel from diverse renewable pathways and addressing key challenges to hydrogen delivery and storage Manufacturing R&D, which works to develop and demonstrate advanced manufacturing technologies and processes that will reduce the cost of fuel cell systems and hydrogen technologies

275

Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1  

E-Print Network (OSTI)

LBL-34045 UC-1600 Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting-uses include Heating, Ventilation and Air Conditioning (HVAC). Our analysis uses the modeling framework provided by the HVAC module in the Residential End-Use Energy Planning System (REEPS), which was developed

276

Captured key electrical safety lockout system  

DOE Patents (OSTI)

A safety lockout apparatus for an electrical circuit includes an electrical switch, a key, a lock and a blocking mechanism. The electrical switch is movable between an ON position at which the electrical circuit is energized and an OFF position at which the electrical circuit is deactivated. The lock is adapted to receive the key and is rotatable among a plurality of positions by the key. The key is only insertable and removable when the lock is at a preselected position. The lock is maintained in the preselected position when the key is removed from the lock. The blocking mechanism physically maintains the switch in its OFF position when the key is removed from the lock. The blocking mechanism preferably includes a member driven by the lock between a first position at which the electrical switch is movable between its ON and OFF positions and a second position at which the member physically maintains the electrical switch in its OFF position. Advantageously, the driven member's second position corresponds to the preselected position at which the key can be removed from and inserted into the lock.

Darimont, Daniel E. (Aurora, IL)

1995-01-01T23:59:59.000Z

277

Influence of assumptions about household waste composition in waste management LCAs  

SciTech Connect

Highlights: Black-Right-Pointing-Pointer Uncertainty in waste composition of household waste. Black-Right-Pointing-Pointer Systematically changed waste composition in a constructed waste management system. Black-Right-Pointing-Pointer Waste composition important for the results of accounting LCA. Black-Right-Pointing-Pointer Robust results for comparative LCA. - Abstract: This article takes a detailed look at an uncertainty factor in waste management LCA that has not been widely discussed previously, namely the uncertainty in waste composition. Waste composition is influenced by many factors; it can vary from year to year, seasonally, and with location, for example. The data publicly available at a municipal level can be highly aggregated and sometimes incomplete, and performing composition analysis is technically challenging. Uncertainty is therefore always present in waste composition. This article performs uncertainty analysis on a systematically modified waste composition using a constructed waste management system. In addition the environmental impacts of several waste management strategies are compared when applied to five different cities. We thus discuss the effect of uncertainty in both accounting LCA and comparative LCA. We found the waste composition to be important for the total environmental impact of the system, especially for the global warming, nutrient enrichment and human toxicity via water impact categories.

Slagstad, Helene, E-mail: helene.slagstad@ntnu.no [Department of Hydraulic and Environmental Engineering, Norwegian University of Science and Technology, N-7491 Trondheim (Norway); Brattebo, Helge [Department of Hydraulic and Environmental Engineering, Norwegian University of Science and Technology, N-7491 Trondheim (Norway)

2013-01-15T23:59:59.000Z

278

Simulating Random Natural Variability in Time-Varying Atmospheric  

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

Simulating Random Natural Variability in Time-Varying Atmospheric Simulating Random Natural Variability in Time-Varying Atmospheric Concentrations of Toxic Gas from Pipeline Ruptures Speaker(s): David J. Wilson Date: February 4, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Jeiwon Deputy Random time series are found everywhere in nature. The Brownian motion of small particles; the price of assets (stocks) in financial markets; the diffusion of individual molecules through a membrane; the ballistic deposition of nano-particles onto a lattice substrate; and the time-varying concentration fluctuations at a point downwind from a pollution source all have a common dynamic description. All are stochastic processes where the local rate of change of the variable has a natural drift back to some equilibrium state, combined with a random fluctuating component. We will

279

Testing Mass Varying Neutrino With Short Gamma Ray Burst  

E-Print Network (OSTI)

In this paper we study the possibility of probing for the absolute neutrino mass and its variation with short Gamma Ray Burst (GRB). We have calculated the flight time difference between a massive neutrino and a photon in two different approaches to mass varying neutrinos. Firstly we parametrize the neutrino mass as a function of redshift in a model independent way, then we consider two specific models where the neutrino mass varies during the evolution of the Quintessence fields. Our calculations show in general the value of the time delay is changed substantially relative to a constant neutrino mass. Furthermore our numerical results show that the flight time delay in these models is expected to be larger than the duration time of the short GRB, which opens a possibility of testing the scenario of mass varying neutrino with the short GRB.

Hong Li; Zigao Dai; Xinmin Zhang

2004-11-17T23:59:59.000Z

280

Anti-counterfeiting, key distribution, and key storage in an ambient world via physical unclonable functions  

Science Conference Proceedings (OSTI)

Virtually all applications which provide or require a security service need a secret key. In an ambient world, where (potentially) sensitive information is continually being gathered about us, it is critical that those keys be both securely deployed ... Keywords: Fuzzy extractor, Helper data algorithm, Intrinsic PUF, Key distribution, LC-PUFs, Physical unclonable functions, SRAMs, Sensor nodes

Jorge Guajardo; Boris kori?; Pim Tuyls; Sandeep S. Kumar; Thijs Bel; Antoon H. Blom; Geert-Jan Schrijen

2009-03-01T23:59:59.000Z

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


281

Composite keys? | OpenEI Community  

Open Energy Info (EERE)

Composite keys? Composite keys? Home > Groups > Databus Does DataBus support using composite keys in a Table definition? If not, is there a way to automatically generate a unique value for each entry that is uploaded? Submitted by Hopcroft on 5 September, 2013 - 17:13 1 answer Points: 0 At this time, no, and no way to generate unique key either right now. You can submit a feature request for this though on github. thanks, Dean Deanhiller on 6 September, 2013 - 06:58 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (6) Managers: Deanhiller Recent members: Hopcroft Vikasgoyal Ksearight NickL

282

Two key questions about color superconductivity  

E-Print Network (OSTI)

We pose two key questions about color superconductivity: What are the effects of the large strange quark mass, and what are the observable consequences of color superconductivity? Motivated by the first question, we study ...

Kundu, Joydip, 1977-

2004-01-01T23:59:59.000Z

283

Password based key exchange with mutual authentication  

Science Conference Proceedings (OSTI)

A reasonably efficient password based key exchange (KE) protocol with provable security without random oracle was recently proposed by Katz, et al. [17] and later by Gennaro and Lindell [13]. However, these protocols do not support mutual authentication ...

Shaoquan Jiang; Guang Gong

2004-08-01T23:59:59.000Z

284

Cryptographic Key Management Project - Comments on the ...  

Science Conference Proceedings (OSTI)

... planned digital signature lifetime (based on the key strength ... Will the CAVP provide a standalone DH test that ... for about an eighth of the cost of 2.5 ...

2012-05-07T23:59:59.000Z

285

Jurisdiction Members Contact Info Key Staffers  

E-Print Network (OSTI)

Relevant Jurisdiction Members Contact Info Key Staffers House Science, Space, and Technology, aeronautics, civil aviation, environment, and marine science · America COMPETES · Energy labs · National Science Foundation, including NCAR · National Aeronautics and Space Administration · National Weather

286

Some key Y-12 General Foremen remembered  

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

expanded from K-25 to Y-12 and X-10, they brought their management style with them. Clark Center was a key individual. Clark Center Park, still known by old timers as "Carbide...

287

Quantum Key Distribution Using Quantum Faraday Rotators  

E-Print Network (OSTI)

We propose a new quantum key distribution (QKD) protocol based on the fully quantum mechanical states of the Faraday rotators. The protocol is unconditionally secure against eavesdropping for single-photon source on a noisy environment and robust against impersonation attacks. It also allows for unconditionally secure key distribution for multiphoton source up to two photons. The protocol could be implemented experimentally with the current spintronics technology on semiconductors.

Choi, T; Choi, Mahn-Soo; Choi, Taeseung

2006-01-01T23:59:59.000Z

288

Multipartite secret key distillation and bound entanglement  

Science Conference Proceedings (OSTI)

Recently it has been shown that quantum cryptography beyond pure entanglement distillation is possible and a paradigm for the associated protocols has been established. Here we systematically generalize the whole paradigm to the multipartite scenario. We provide constructions of new classes of multipartite bound entangled states, i.e., those with underlying twisted Greenberger-Horne-Zeilinger (GHZ) structure and nonzero distillable cryptographic key. We quantitatively estimate the key from below with the help of the privacy squeezing technique.

Augusiak, Remigiusz; Horodecki, Pawel [Faculty of Applied Physics and Mathematics, Gdansk University of Technology, Narutowicza 11/12, 80-952 Gdansk (Poland) and ICFO-Institute Ciencies Fotoniques, Mediterranean Technology Park, 08860 Castelldefels (Barcelona) (Spain); Faculty of Applied Physics and Mathematics, Gdansk University of Technology, Narutowicza 11/12, 80-952 Gdansk (Poland)

2009-10-15T23:59:59.000Z

289

Columbia Computer Science Technical Report (2005) Time-Varying Textures  

E-Print Network (OSTI)

that the reflectance and texture of surfaces is a static phe- nomenon. Yet, there is an abundance of materials in nature whose appearance varies dramatically with time, such as cracking paint, growing grass, or ripening such as stress fracture, accu- mulation of particles, and state changes such as oxidation. We then synthesize

290

Columbia Computer Science Technical Report (2005) TimeVarying Textures  

E-Print Network (OSTI)

that the reflectance and texture of surfaces is a static phe­ nomenon. Yet, there is an abundance of materials in nature whose appearance varies dramatically with time, such as cracking paint, growing grass, or ripening such as stress fracture, accu­ mulation of particles, and state changes such as oxidation. We then synthesize

291

Generation of Coastal Inertial Oscillations by Time-Varying Wind  

Science Conference Proceedings (OSTI)

The excitation of coastal inertial oscillations by a rapidly varying wind is investigated. It is shown that the mean-square response to a completely random forcing is 2 ? ?2dt, where ? is the response to impulsive forcing and the integral ...

Pijush K. Kundu

1984-12-01T23:59:59.000Z

292

LFT/H varying sampling control for Autonomous Underwater Vehicles  

E-Print Network (OSTI)

LFT/H varying sampling control for Autonomous Underwater Vehicles E. Roche , O. Sename D. Simon: This paper deals with the robust control of an Autonomous Underwater Vehicle (AUV) subject to communication. INTRODUCTION In this paper the H approach for LPV systems is applied to an Autonomous Underwater Vehicle (AUV

Paris-Sud XI, Université de

293

Finite element form of FDV for widely varying flowfields  

Science Conference Proceedings (OSTI)

We present the Flowfield Dependent Variation (FDV) method for physical applications that have widely varying spatial and temporal scales. Our motivation is to develop a versatile numerical method that is accurate and stable in simulations with complex ... Keywords: Finite element, Hydrodynamics, Numerical methods, Shock waves, Special relativity

G. A. Richardson; J. T. Cassibry; T. J. Chung; S. T. Wu

2010-01-01T23:59:59.000Z

294

High Efficient Secret Key Distillation for Long Distance Continuous Variable Quantum Key Distribution  

E-Print Network (OSTI)

The continuous variable quantum key distribution is expected to provide high secret key rate without single photon source and detector, but the lack of the secure and effective key distillation method makes it unpractical. Here, we present a secure single-bit-reverse-reconciliation protocol combined with secret information concentration and post-selection, which can distill the secret key with high efficiency and low computational complexity. The simulation results show that this protocol can provide high secret key rate even when the transmission fiber is longer than 150km, which may make the continuous variable scheme to outvie the single photon one.

Yi-bo Zhao; Zheng-fu Han; Jin-jian Chen; You-zhen Gui; Guang-can Guo

2006-03-08T23:59:59.000Z

295

NIST Special Publication 800-57, Recommendation for Key ...  

Science Conference Proceedings (OSTI)

... keying material from key backup or archive. ... term random number generator (RNG) is ... Deterministic Random Bit Generators (DRBGs), sometimes ...

2012-07-10T23:59:59.000Z

296

ITL Bulletin Generating Secure Cryptographic Keys: A Critical ...  

Science Conference Proceedings (OSTI)

... KEYS: A CRITICAL COMPONENT OF CRYPTOGRAPHIC ... relies upon two basic components: an algorithm (or ... and of keys for symmetric algorithms. ...

2013-04-16T23:59:59.000Z

297

A secure multiple-agent cryptographic key recovery system  

Science Conference Proceedings (OSTI)

Symmetric cryptography uses the same session key for message encryption and decryption. Without having it, the encrypted message will never be revealed. In case the session key is unavailable or government authorities need to inspect suspect messages, ... Keywords: key recovery, key recovery agent, key recovery center, secret sharing, session key

Kanokwan Kanyamee; Chanboon Sathitwiriyawong

2009-08-01T23:59:59.000Z

298

Modeling and Analysis of Time-Varying Graphs  

E-Print Network (OSTI)

We live in a world increasingly dominated by networks -- communications, social, information, biological etc. A central attribute of many of these networks is that they are dynamic, that is, they exhibit structural changes over time. While the practice of dynamic networks has proliferated, we lag behind in the fundamental, mathematical understanding of network dynamism. Existing research on time-varying graphs ranges from preliminary algorithmic studies (e.g., Ferreira's work on evolving graphs) to analysis of specific properties such as flooding time in dynamic random graphs. A popular model for studying dynamic graphs is a sequence of graphs arranged by increasing snapshots of time. In this paper, we study the fundamental property of reachability in a time-varying graph over time and characterize the latency with respect to two metrics, namely store-or-advance latency and cut-through latency. Instead of expected value analysis, we concentrate on characterizing the exact probability distribution of routing l...

Basu, Prithwish; Ramanathan, Ram; Johnson, Matthew P

2010-01-01T23:59:59.000Z

299

Means for ultrasonic testing when material properties vary  

SciTech Connect

A device is provided for maintaining constant sensitivity in an ultrasonic testing device, despite varying attenuation due to the properties of the material being tested. The device includes a sensor transducer for transmitting and receiving a test signal and a monitor transducer positioned so as to receive ultrasonic energy transmitted through the material to be tested. The received signal of the monitor transducer is utilized in analyzing data obtained from the sensor transducer.

Beller, Laurence S. (Idaho Falls, ID)

1979-01-01T23:59:59.000Z

300

f(R) cosmological solutions with varying speed of light  

E-Print Network (OSTI)

We consider f(R) modified gravity theories for describing varying speed of light in a spatially flat FRW model, and find some exact solutions. Also we examine the dynamics of this model by dynamical system method assuming a LambdaCDM background and we find some exact solutions by considering the character of critical points of the theory in both formalisms. The behaviour of the speed of light is obtained.

Azam Izadi; Ali Shojai

2010-01-24T23:59:59.000Z

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


301

STGWG Key Outcomes for May 3, 2010  

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

Key Outcomes-Nashville 2010 Page 1 Key Outcomes-Nashville 2010 Page 1 State and Tribal Government Working Group (STGWG) Nashville, Tennessee - May 3, 2010 KEY OUTCOMES OVERVIEW Members appreciated the participation of all DOE officials at the STGWG meeting in Nashville, and are especially appreciative of the participation of high-level DOE management, such as Sky Gallegos, Deputy Assistant Secretary of the Office of Congressional and Intergovernmental Affairs, and Frank Marcinowski, Acting Chief Technical Officer and Deputy Assistant Secretary for Technical and Regulatory Support. Such participation demonstrates a continuing commitment to improve interaction with tribes and states. STGWG looks forward to our next Intergovernmental meeting with DOE in the fall. FULL STGWG ISSUES

302

Composite keys? | OpenEI Community  

Open Energy Info (EERE)

Composite keys? Home > Groups > Databus Does DataBus support using composite keys in a Table definition? If not, is there a way to automatically generate a unique value for each entry that is uploaded? Submitted by Hopcroft on 5 September, 2013 - 17:13 1 answer Points: 0 At this time, no, and no way to generate unique key either right now. You can submit a feature request for this though on github. thanks, Dean Deanhiller on 6 September, 2013 - 06:58 Groups Menu You must login in order to post into this group. Recent content Go to My Databus->Data Streams... yes, it is done the same way y... Update rows? How to use streaming chart? if you are an administrator, s... more Group members (7) Managers: Deanhiller Recent members: Bradmin Hopcroft Vikasgoyal Ksearight

303

Public key infrastructure for DOE security research  

SciTech Connect

This document summarizes the Department of Energy`s Second Joint Energy Research/Defence Programs Security Research Workshop. The workshop, built on the results of the first Joint Workshop which reviewed security requirements represented in a range of mission-critical ER and DP applications, discussed commonalties and differences in ER/DP requirements and approaches, and identified an integrated common set of security research priorities. One significant conclusion of the first workshop was that progress in a broad spectrum of DOE-relevant security problems and applications could best be addressed through public-key cryptography based systems, and therefore depended upon the existence of a robust, broadly deployed public-key infrastructure. Hence, public-key infrastructure ({open_quotes}PKI{close_quotes}) was adopted as a primary focus for the second workshop. The Second Joint Workshop covered a range of DOE security research and deployment efforts, as well as summaries of the state of the art in various areas relating to public-key technologies. Key findings were that a broad range of DOE applications can benefit from security architectures and technologies built on a robust, flexible, widely deployed public-key infrastructure; that there exists a collection of specific requirements for missing or undeveloped PKI functionality, together with a preliminary assessment of how these requirements can be met; that, while commercial developments can be expected to provide many relevant security technologies, there are important capabilities that commercial developments will not address, due to the unique scale, performance, diversity, distributed nature, and sensitivity of DOE applications; that DOE should encourage and support research activities intended to increase understanding of security technology requirements, and to develop critical components not forthcoming from other sources in a timely manner.

Aiken, R.; Foster, I.; Johnston, W.E. [and others

1997-06-01T23:59:59.000Z

304

Nonorthogonal decoy-state Quantum Key Distribution  

E-Print Network (OSTI)

In practical quantum key distribution (QKD), weak coherent states as the photon sources have a limit in secure key rate and transmission distance because of the existence of multiphoton pulses and heavy loss in transmission line. Decoy states method and nonorthogonal encoding protocol are two important weapons to combat these effects. Here, we combine these two methods and propose a efficient method that can substantially improve the performance of QKD. We find a 79 km increase in transmission distance over the prior record using decoy states method.

Li, J B; Li, Jing-Bo; Fang, Xi-Ming

2005-01-01T23:59:59.000Z

305

Complementarity, distillable secret key, and distillable entanglement  

E-Print Network (OSTI)

We consider controllability of two conjugate observables Z and X by two parties with classical communication. The ability is specified by two alternative tasks, (i) agreement on Z and (ii) preparation of an eigenstate of X with use of an extra communication channel. We prove that their feasibility is equivalent to that of key distillation if the extra channel is quantum, and to that of entanglement distillation if it is classical. This clarifies the distinction between two entanglement measures, distillable key and distillable entanglement.

Masato Koashi

2007-04-27T23:59:59.000Z

306

Quantum repeaters and quantum key distribution: the impact of entanglement distillation on the secret key rate  

E-Print Network (OSTI)

We investigate quantum repeaters in the context of quantum key distribution. We optimize the secret key rate per memory per second with respect to different distillation protocols and distillation strategies. For this purpose, we also derive an analytical expression for the average number of entangled pairs created by the quantum repeater, including classical communication times for entanglement swapping and entanglement distillation. We investigate the impact of this classical communication time on the secret key rate. We finally study the effect of the detector efficiency on the secret key rate.

Sylvia Bratzik; Silvestre Abruzzo; Hermann Kampermann; Dagmar Bru

2013-03-14T23:59:59.000Z

307

Basics about CIM technology and key  

E-Print Network (OSTI)

Basics about CIM® technology and key applications Ales Strancar March, 2011 #12;Leaders in Monolith monolithic technology (CIM®). 4 USA patents granted including their foreign equivalents, more pending. #12;Important Milestones · 2002: First Drug Master File (DMF) for CIM® DEAE supports. · 2002: Pass first FDA

Lebendiker, Mario

308

Key issues of RFID reader network system  

Science Conference Proceedings (OSTI)

RFID system is used widely in different applications and comes in a myriad of forms today. It is doomed to be concerned by people and still be the hot spot of research in the next few years. In this paper, Key issues of RFID reader network system are ... Keywords: RFID, WSN, anti-collision algorithm, taxonomy

Leian Liu; Dashun yan; Jiapei Wu; Hongjiang Wang

2009-09-01T23:59:59.000Z

309

Key Management Challenges in Smart Grid  

Science Conference Proceedings (OSTI)

Agenda Awarded in February 2011 Team of industry and research organizations Project Objectives Address difficult issues Complexity Diversity of systems Scale Longevity of solution Participate in standards efforts and working groups Develop innovative key management solutions Modeling and simulation ORNL Cyber Security Econometric Enterprise System Demonstrate effectiveness of solution Demonstrate scalability

Sheldon, Frederick T [ORNL; Duren, Mike [Sypris Electronics, LLC

2012-01-01T23:59:59.000Z

310

Device-independent quantum key distribution with spin-coupled cavities  

E-Print Network (OSTI)

Device-independent quantum key distribution (DIQKD) guarantees the security of a shared key without any assumptions on the apparatus used, provided that the observed data violate a Bell inequality. Such violation is challenging experimentally due to channel losses and photo-detection inefficiencies. Here we describe a realistic DIQKD protocol based on interaction between light and spins stored in cavities, which allows a heralded mapping of polarisation entanglement of light onto the spin. The spin state can subsequently be measured with near unit efficiency. Heralding alleviates the effect of channel loss, and as the protocol allows for local heralding, the spin decay is not affected by the communication time between the parties, making Bell inequality violation over an arbitrary distance possible. We compute the achievable key rates of the protocol, based on recent estimates of experimentally accessible parameter values and compare to the other known DIQKD protocol, which is entirely optical. We find significant improvements in terms of key bits per source use. For example we gain about five orders of magnitude over a distance of 75km, for realistic parameter values.

Alejandro Mttar; Jonatan Bohr Brask; Antonio Acn

2013-06-11T23:59:59.000Z

311

Accountable key infrastructure (AKI): a proposal for a public-key validation infrastructure  

Science Conference Proceedings (OSTI)

Recent trends in public-key infrastructure research explore the tradeoff between decreased trust in Certificate Authorities (CAs), resilience against attacks, communication overhead (bandwidth and latency) for setting up an SSL/TLS connection, and availability ... Keywords: accountability, certificate validation, public log servers, public-key infrastructure, ssl, tls

Tiffany Hyun-Jin Kim, Lin-Shung Huang, Adrian Perring, Collin Jackson, Virgil Gligor

2013-05-01T23:59:59.000Z

312

Nielsen-Olesen vortex in varying-alpha theories  

E-Print Network (OSTI)

We consider soliton solutions to Bekenstein's theory, for which the fine structure constant $\\alpha=e^2/(4\\pi\\hbar c)$ is allowed to vary due to the presence of a dielectric field pervading the vacuum. More specifically we investigate the effects of a varying $\\alpha$ upon a complex scalar field with a U(1) electromagnetic gauge symmetry subject to spontaneous symmetry breaking. We find vortex solutions to this theory, similar to the Nielsen-Olesen vortex. Near the vortex core the electric charge is typically much larger than far away from the string, lending these strings a superconducting flavour. In general the dielectric field coats the usual local string with a global string envelope. We discuss the cosmological implications of networks of such strings, with particular emphasis on their ability to generate inhomogeneous recombination scenarios. We also consider the possibility of the dielectric being a charged free field. Even though the vacuum of such a field is trivial, we find that the dielectric arranges itself in the shape of a local string, with a quantized magnetic flux at the core -- presumably borrowing these topological features from the underlying Nielsen-Olesen vortex.

J. Magueijo; H. Sandvik; T. W. B. Kibble

2001-01-15T23:59:59.000Z

313

Quantum capacity under adversarial quantum noise: arbitrarily varying quantum channels  

E-Print Network (OSTI)

We investigate entanglement transmission over an unknown channel in the presence of a third party (called the adversary), which is enabled to choose the channel from a given set of memoryless but non-stationary channels without informing the legitimate sender and receiver about the particular choice that he made. This channel model is called arbitrarily varying quantum channel (AVQC). We derive a quantum version of Ahlswede's dichotomy for classical arbitrarily varying channels. This includes a regularized formula for the common randomness-assisted capacity for entanglement transmission of an AVQC. Quite surprisingly and in contrast to the classical analog of the problem involving the maximal and average error probability, we find that the capacity for entanglement transmission of an AVQC always equals its strong subspace transmission capacity. These results are accompanied by different notions of symmetrizability (zero-capacity conditions) as well as by conditions for an AVQC to have a capacity described by a single-letter formula. In he final part of the paper the capacity of the erasure-AVQC is computed and some light shed on the connection between AVQCs and zero-error capacities. Additionally, we show by entirely elementary and operational arguments motivated by the theory of AVQCs that the quantum, classical, and entanglement-assisted zero-error capacities of quantum channels are generically zero and are discontinuous at every positivity point.

Rudolf Ahlswede; Igor Bjelakovic; Holger Boche; Janis Noetzel

2010-10-03T23:59:59.000Z

314

Leakage resilient strong key-insulated signatures in public channel  

Science Conference Proceedings (OSTI)

Key-insulation aims at minimizing (i.e., compartmentalizing) the damage of users from key exposures, and traditionally requires a private channel of communication between a user and a semi-trusted party called a helper to refresh the private keys. The ... Keywords: continual key leakage, key-insulation, public channel, signatures

Le Trieu Phong; Shin'ichiro Matsuo; Moti Yung

2010-12-01T23:59:59.000Z

315

Key Facts: Solyndra Solar | Department of Energy  

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

You are here You are here Home » Key Facts: Solyndra Solar Key Facts: Solyndra Solar On September 1, 2011, Solyndra, a solar energy start-up and recipient of an Energy Department loan guarantee, declared bankruptcy. While this event is deeply disappointing, at the time the loan guarantee was issued, Solyndra was widely seen as a promising and innovative company: Solyndra was named one of the world's "50 Most Innovative Companies" in 2010 by MIT's Technology Review and included in the Wall Street Journal's "The Next Big Thing: Top 50 Venture Backed Companies." Private investors, after conducting their own careful review of Solyndra, put $1 billion of their own private capital behind the company. Solyndra reported sales growth of 40% from 2009 to 2010, from $100

316

Practical Decoy State for Quantum Key Distribution  

E-Print Network (OSTI)

Decoy states have recently been proposed as a useful method for substantially improving the performance of quantum key distribution. Here, we present a general theory of the decoy state protocol based on only two decoy states and one signal state. We perform optimization on the choice of intensities of the two decoy states and the signal state. Our result shows that a decoy state protocol with only two types of decoy states--the vacuum and a weak decoy state--asymptotically approaches the theoretical limit of the most general type of decoy state protocols (with an infinite number of decoy states). We also present a one-decoy-state protocol. Moreover, we provide estimations on the effects of statistical fluctuations and suggest that, even for long distance (larger than 100km) QKD, our two-decoy-state protocol can be implemented with only a few hours of experimental data. In conclusion, decoy state quantum key distribution is highly practical.

X. Ma; B. Qi; Y. Zhao; H. -K. Lo

2005-03-01T23:59:59.000Z

317

Key Physical Mechanisms in Nanostructured Solar Cells  

DOE Green Energy (OSTI)

The objective of the project was to study both theoretically and experimentally the excitation, recombination and transport properties required for nanostructured solar cells to deliver energy conversion efficiencies well in excess of conventional limits. These objectives were met by concentrating on three key areas, namely, investigation of physical mechanisms present in nanostructured solar cells, characterization of loss mechanisms in nanostructured solar cells and determining the properties required of nanostructured solar cells in order to achieve high efficiency and the design implications.

Dr Stephan Bremner

2010-07-21T23:59:59.000Z

318

CCN predictions using simplified assumptions of organic aerosol composition and mixing state: A synthesis from six different locations  

SciTech Connect

An accurate but simple quantification of the fraction of aerosol particles that can act as cloud condensation nuclei (CCN) is needed for implementation in large-scale models. Data on aerosol size distribution, chemical composition, and CCN concentration from six different locations have been analyzed to explore the extent to which simple assumptions of composition and mixing state of the organic fraction can reproduce measured CCN number concentrations. Fresher pollution aerosol as encountered in Riverside, CA, and the ship channel in Houston, TX, cannot be represented without knowledge of more complex (size-resolved) composition. For aerosol that has experienced processing (Mexico City, Holme Moss (UK), Point Reyes (CA), and Chebogue Point (Canada)), CCN can be predicted within a factor of two assuming either externally or internally mixed soluble organics although these simplified compositions/mixing states might not represent the actual properties of ambient aerosol populations, in agreement with many previous CCN studies in the literature. Under typical conditions, a factor of two uncertainty in CCN concentration due to composition assumptions translates to an uncertainty of {approx}15% in cloud drop concentration, which might be adequate for large-scale models given the much larger uncertainty in cloudiness.

Ervens, B.; Wang, J.; Cubison, M. J.; Andrews, E.; Feingold, G.; Ogren, J. A.; Jimenez, J. L.; Quinn, P. K.; Bates, T. S.; Zhang, Q.; Coe, H.; Flynn, M.; Allan, J. D.

2010-05-01T23:59:59.000Z

319

Impacts of Varying Penetration of Distributed Resources with & without Volt/Var Control: Case Study of Varying Load Types  

SciTech Connect

This paper provides a follow-up to an earlier one on impacts of distributed energy resources (DR) on distribution feeders. As DR penetration level on the feeder increases, there can be impacts to distribution system/feeder capacity, line losses, and voltage regulation. These can vary as the penetration level reaches the capacity of the distribution feeder/system or loading. The question is how high of a DR level can be accommodated without any major changes to system operation, system design and protection. Our objective for this work was to address the question of how the DR impacts vary in regards to both DR voltage regulation capability and load mix. A dynamic analysis was used to focus on the impacts of DR with and without volt/var control with different load composition on the distribution feeder. The study considered an example 10MVA distribution feeder in which two inverter-based DRs were used to provide voltage regulation. The results due to DR without voltage regulation capability are compared with DR capable of providing local (at its bus) voltage regulation. The analysis was repeated for four different feeder load compositions consisting of (1) constant power, (2) constant impedance, (3) constant current and (4) ZIP (equal combination of previous three).

Rizy, D Tom [ORNL; Li, Huijuan [ORNL; Li, Fangxing [ORNL; Xu, Yan [ORNL; Adhikari, Sarina [ORNL; Irminger, Philip [ORNL

2011-01-01T23:59:59.000Z

320

Collaboration between varied organizations develops larger, more precise  

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

The Large Area Picosecond Photodetector (LAPPD) collaboration has developed cheaper, larger, more robust microchannel plates, seen here at a test facility at Argonne. The LAPPD team has partnered with Massachusetts-based fiber optics company INCOM Inc. to manufacture the plates. Click to enlarge. The Large Area Picosecond Photodetector (LAPPD) collaboration has developed cheaper, larger, more robust microchannel plates, seen here at a test facility at Argonne. The LAPPD team has partnered with Massachusetts-based fiber optics company INCOM Inc. to manufacture the plates. Click to enlarge. The Large Area Picosecond Photodetector (LAPPD) collaboration has developed cheaper, larger, more robust microchannel plates, seen here at a test facility at Argonne. The LAPPD team has partnered with Massachusetts-based fiber optics company INCOM Inc. to manufacture the plates. Click to enlarge. Collaboration between varied organizations develops larger, more precise photodetectors for the market By Chelsea Leu * November 5, 2013 Tweet EmailPrint Scientific particle detectors, medical imaging devices and cargo scanners

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


321

Constraining PCP Violating Varying Alpha Theory through Laboratory Experiments  

Science Conference Proceedings (OSTI)

In this report we have studied the implication of a parity and charge-parity (PCP) violating interaction in varying alpha theory. Due to this interaction, the state of photon polarization can change when it passes through a strong background magnetic field. We have calculated the optical rotation and ellipticity of the plane of polarization of an electromagnetic wave and tested our results against different laboratory experiments. Our model contains a PCP violating parameter {beta} and a scale of alpha variation {omega}. By analyzing the laboratory experimental data, we found the most stringent constraints on our model parameters to be 1 {le} {omega} {le} 10{sup 13} GeV{sup 2} and -0.5 {le} {beta} {le} 0.5. We also found that with the existing experimental input parameters it is very difficult to detect the ellipticity in the near future.

Maity, Debaprasad; /NCTS, Taipei /Taiwan, Natl. Taiwan U.; Chen, Pisin; /NCTS, Taipei /Taiwan, Natl. Taiwan U. /KIPAC, Menlo Park /SLAC

2012-06-06T23:59:59.000Z

322

Product Binding Varies Dramatically between Processive and Nonprocessive Cellulase Enzymes  

DOE Green Energy (OSTI)

Cellulases hydrolyze {beta}-1,4 glycosidic linkages in cellulose, which are among the most prevalent and stable bonds in Nature. Cellulases comprise many glycoside hydrolase families and exist as processive or nonprocessive enzymes. Product inhibition negatively impacts cellulase action, but experimental measurements of product-binding constants vary significantly, and there is little consensus on the importance of this phenomenon. To provide molecular level insights into cellulase product inhibition, we examine the impact of product binding on processive and nonprocessive cellulases by calculating the binding free energy of cellobiose to the product sites of catalytic domains of processive and nonprocessive enzymes from glycoside hydrolase families 6 and 7. The results suggest that cellobiose binds to processive cellulases much more strongly than nonprocessive cellulases. We also predict that the presence of a cellodextrin bound in the reactant site of the catalytic domain, which is present during enzymatic catalysis, has no effect on product binding in nonprocessive cellulases, whereas it significantly increases product binding to processive cellulases. This difference in product binding correlates with hydrogen bonding between the substrate-side ligand and the cellobiose product in processive cellulase tunnels and the additional stabilization from the longer tunnel-forming loops. The hydrogen bonds between the substrate- and product-side ligands are disrupted by water in nonprocessive cellulase clefts, and the lack of long tunnel-forming loops results in lower affinity of the product ligand. These findings provide new insights into the large discrepancies reported for binding constants for cellulases and suggest that product inhibition will vary significantly based on the amount of productive binding for processive cellulases on cellulose.

Bu, L.; Nimlos, M. R.; Shirts, M. R.; Stahlberg, J.; Himmel, M. E.; Crowley, M. F.; Beckham, G. T.

2012-07-13T23:59:59.000Z

323

Method for encryption and transmission of digital keying data  

DOE Patents (OSTI)

A method for the encryption, transmission, and subsequent decryption of digital keying data. The method utilizes the Data Encryption Standard and is implemented by means of a pair of apparatus, each of which is selectable to operate as either a master unit or remote unit. Each unit contains a set of key encryption keys which are indexed by a common indexing system. The master unit operates upon command from the remote unit to generate a data encryption key and encrypt the data encryption key using a preselected key encryption key. The encrypted data encryption key and an index designator are then downloaded to the remote unit, where the data encryption key is decrypted for subsequent use in the encryption and transmission data. Downloading of the encrypted data encryption key enables frequent change of keys without requiring manual entry or storage of keys at the remote unit.

Mniszewski, Susan M. (Los Alamos, NM); Springer, Edward A. (Los Alamos, NM); Brenner, David P. (North Collins, NY)

1988-01-01T23:59:59.000Z

324

PKM: a pairwise key management scheme for wireless sensor networks  

Science Conference Proceedings (OSTI)

Sensor networks are characterized by strict resource limitations and large scalability. Many sensor network applications require secure communication, a crucial component, especially in harsh environments. Symmetric key cryptography is very attractive ... Keywords: key distribution, key management, security, sensor networks

F. An; X. Cheng; J. M. Rivera; J. Li; Z. Cheng

2005-08-01T23:59:59.000Z

325

Scaling Characteristics of Soil Hydraulic Parameters at Varying Spatial Resolutions  

E-Print Network (OSTI)

This dissertation focuses on the challenge of soil hydraulic parameter scaling in soil hydrology and related applications in general; and, in particular, the upscaling of these parameters to provide effective values at coarse scales. Soil hydraulic properties are required for many hydrological and ecological models at their representative scales. Prediction accuracy of these models is highly dependent on the quality of the model input parameters. However, measurement of parameter data at all such required scales is impractical as that would entail huge outlays of finance, time and effort. Hence, alternate methods of estimating the soil hydraulic parameters at the scales of interest are necessary. Two approaches to bridge this gap between the measurement and application scales for soil hydraulic parameters are presented in this dissertation. The first one is a stochastic approach, based on artificial neural networks (ANNs) applied within a Bayesian framework. ANNs have been used before to derive soil hydraulic parameters from other more easily measured soil properties at matching scales. Here, ANNs were applied with different training and simulation scales. This concept was further extended to work within a Bayesian framework in order to provide estimates of uncertainty in such parameter estimations. Use of ancillary information such as elevation and vegetation data, in addition to the soil physical properties, were also tested. These multiscale pedotransfer function methods were successfully tested with numerical and field studies at different locations and scales. Most upscaling efforts thus far ignore the effect of the topography on the upscaled soil hydraulic parameter values. While this flat-terrain assumption is acceptable at coarse scales of a few hundred meters, at kilometer scales and beyond, the influence of the physical features cannot be ignored. anew upscaling scheme which accounts for variations in topography within a domain was developed to upscale soil hydraulic parameters to hill-slope (kilometer) scales. The algorithm was tested on different synthetically generated topographic configurations with good results. Extending the methodology to field conditions with greater complexities also produced good results. A comparison of different recently developed scaling schemes showed that at hill-slope scales, inclusion of topographic information produced better estimates of effective soil hydraulic parameters at that scale.

Belur Jana, Raghavendra

2010-05-01T23:59:59.000Z

326

Statistical Approaches and Assumptions  

Science Conference Proceedings (OSTI)

... during the PCR amplification process This is highly affected by DNA quantity and quality ... PCR inhibitors present in the sample may reduce PCR ...

2012-10-16T23:59:59.000Z

327

Key Renewable Energy Opportunities for Oklahoma Tribes | Department...  

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

Key Renewable Energy Opportunities for Oklahoma Tribes Key Renewable Energy Opportunities for Oklahoma Tribes August 13, 2012 Oklahoma City, Oklahoma Cox Convention Center The...

328

Single, Key Gene Discovery Could Streamline Production of Biofuels...  

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

Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels August 11, 2011 - 3:51pm Addthis WASHINGTON,...

329

Vehicle Electrification is Key to Reducing Petroleum Dependency...  

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

Vehicle Electrification is Key to Reducing Petroleum Dependency and Greenhouse Gas Emission Vehicle Electrification is Key to Reducing Petroleum Dependency and Greenhouse Gas...

330

Building Technologies Office: Key Activities in Energy Efficiency  

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

Energy Efficiency to someone by E-mail Share Building Technologies Office: Key Activities in Energy Efficiency on Facebook Tweet about Building Technologies Office: Key Activities...

331

Energy: Critical Infrastructure and Key Resources Sector-Specific...  

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

Energy: Critical Infrastructure and Key Resources Sector-Specific Plan as input to the National Infrastructure Protection Plan (Redacted) Energy: Critical Infrastructure and Key...

332

Energy Critical Infrastructure and Key Resources Sector-Specific...  

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

Energy Critical Infrastructure and Key Resources Sector-Specific Plan as input to the National Infrastructure Protection Plan (Redacted) Energy Critical Infrastructure and Key...

333

Technology Key to Harnessing Natural Gas Potential | Department...  

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

Key to Harnessing Natural Gas Potential Technology Key to Harnessing Natural Gas Potential July 18, 2012 - 3:52pm Addthis Deputy Secretary Daniel Poneman tours Proinlosa Energy...

334

NIST SP 800-57, Recommendation for Key Management ...  

Science Conference Proceedings (OSTI)

... service use a hash function as a component of the ... mitigated by splitting the key into components that are ... a. When a symmetric key is used only for ...

2012-12-12T23:59:59.000Z

335

NERSC Played Key Role in Nobel Laureate's Discovery  

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

Played Key Role in Nobel Laureate's Discovery NERSC Played Key Role in Nobel Laureate's Discovery NERSC, Berkeley Lab Now Centers for Computational Cosmology Community October 4,...

336

TEC Working Group Topic Groups Rail Key Documents Planning Subgroup...  

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

Rail Key Documents Planning Subgroup TEC Working Group Topic Groups Rail Key Documents Planning Subgroup Planning Subgroup Rail Planning Timeline Benchmarking Project: AREVA Trip...

337

Many-core key-value store  

Science Conference Proceedings (OSTI)

Scaling data centers to handle task-parallel work-loads requires balancing the cost of hardware, operations, and power. Low-power, low-core-count servers reduce costs in one of these dimensions, but may require additional nodes to provide the required ... Keywords: 64-core Tilera TILEPro64, many-core key-value store, data centers, task-parallel workloads, low-core-count servers, low-power servers, under-utilizing memory, power consumption, high-core-count processor, clock rate, 4-core Intel Xeon L5520, 8-core AMD Opteron 6128 HE

M. Berezecki; E. Frachtenberg; M. Paleczny; K. Steele

2011-07-01T23:59:59.000Z

338

Quantum Key Distribution Highly Sensitive to Eavesdropping  

E-Print Network (OSTI)

We introduce a new quantum key distribution protocol that uses d-level quantum systems to encode an alphabet with c letters. It has the property that the error rate introduced by an intercept-and-resend attack tends to one as the numbers c and d increase. In dimension d=2, when the legitimate parties use a complete set of three mutually unbiased bases, the protocol achieves a quantum bit error rate of 57.1%. This represents a significant improvement over the 25% quantum bit error rate achieved in the BB84 protocol or 33% in the six-state protocol.

Brierley, Stephen

2009-01-01T23:59:59.000Z

339

Quantum Key Distribution Highly Sensitive to Eavesdropping  

E-Print Network (OSTI)

We introduce a new quantum key distribution protocol that uses d-level quantum systems to encode an alphabet with c letters. It has the property that the error rate introduced by an intercept-and-resend attack tends to one as the numbers c and d increase. In dimension d=2, when the legitimate parties use a complete set of three mutually unbiased bases, the protocol achieves a quantum bit error rate of 57.1%. This represents a significant improvement over the 25% quantum bit error rate achieved in the BB84 protocol or 33% in the six-state protocol.

Stephen Brierley

2009-10-14T23:59:59.000Z

340

Sensitivity of Utility-Scale Solar Deployment Projections in the SunShot Vision Study to Market and Performance Assumptions  

SciTech Connect

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The ReEDS model was used to simulate utility PV and CSP deployment for this present study, based on several market and performance assumptions - electricity demand, natural gas prices, coal retirements, cost and performance of non-solar renewable technologies, PV resource variability, distributed PV deployment, and solar market supply growth - in addition to the SunShot solar price projections. This study finds that utility-scale solar deployment is highly sensitive to solar prices. Other factors can have significant impacts, particularly electricity demand and natural gas prices.

Eurek, K.; Denholm, P.; Margolis, R.; Mowers, M.

2013-04-01T23:59:59.000Z

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


341

Device for producing a fluid stream of varying composition  

DOE Patents (OSTI)

A device for producing a fluid stream of varying composition comprises a chamber having an inlet at one end and outlet at the other. Between the inlet and outlet there are substantially planar pans or baffles positioned normal to the bulk flow of fluid between the inlet and the outlet. These pans are arranged in pairs. Each pan, except those of the pair most remote from the inlet, is spaced from the walls of the chamber to permit air to flow past it. The pans of each pair are also spaced from each other, in a direction parallel to their planes, leaving an empty space along the mid-plane of the chamber. This produces a circulation and mixing of fluid between the pairs of pans or baffles. A secondary stream of fluid is introduced between two pairs of baffles in the intermediate portion of the chamber, so that the composition of the fluid is different in the portion adjacent to the outlet and the portion adjacent to the inlet. In a specific embodiment, the device is an exposure chamber for experimental animals, and the pans or baffles are catch pans for excrement.

Moss, Owen R. (Kennewick, WA); Clark, Mark L. (Kennewick, WA); Rossignol, E. John (Richland, WA)

1982-01-01T23:59:59.000Z

342

Analysis and design of a secure key exchange scheme  

Science Conference Proceedings (OSTI)

We propose a new key exchange scheme where the secret key is obtained by multiplying the powers of block upper triangular matrices. After studying the cryptographic properties of these block matrices, the theoretical aspects of this scheme are analyzed, ... Keywords: Block matrices, Cryptography, Discrete logarithm problem, Key exchange scheme, Public key, Quick exponentiation, Security, Triangular matrices

Rafael lvarez; Leandro Tortosa; Jos-Fco Vicent; Antonio Zamora

2009-05-01T23:59:59.000Z

343

Vehicle Technologies Office: Key Activities in Vehicles  

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

Activities in Vehicles Activities in Vehicles We conduct work in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or improving performance, power, and comfort. Research and development (R&D); testing and analysis; government and community stakeholder support; and education help people access and use efficient, clean vehicles that meet their transportation needs. Researcher loads a sample mount of battery cathode materials for X-ray diffraction, an analysis tool for obtaining information on the crystallographic structure and composition of materials. Research and Development of New Technologies Develop durable and affordable advanced batteries as well as other forms of energy storage. Improve the efficiency of combustion engines.

344

Toolpusher is key to efficient rig operation  

Science Conference Proceedings (OSTI)

Toolpushers earn a higher salary, control more personnel, and are responsible for a more expensive operation than many graduate MBAs. As a result, toolpushers are key to improved rig efficiencies and reduced crew turnover. For example, by having its toolpushers in Libya implement a new managerial approach, Santa Fe Drilling Co. reduced labor turnover 30%, reduced the number of lost-time accidents 58%, and increased average rig inspection scores 6%. During the boom years of drilling, toolpushers complained often about the poor quality of roustabouts and roughnecks assigned to them. Many toolpushers held poor screening of personnel responsible, and felt justified in firing those who were slow to adapt. Few of them considered that they were directly responsible. Today's toolpusher must realize that he is responsible not only for the rig, its maintenance, and its drilling performance, but for training and development of the rig's personnel as well.

Fortney, K.

1983-09-01T23:59:59.000Z

345

Key decisions near for Chad pipeline proposal  

Science Conference Proceedings (OSTI)

The World Bank is expected to play a key role in a proposed $3 billion development of oil fields in Chad and an export pipeline through Cameroon to the Atlantic Ocean. The project, which has been at least 4 years in the making, could see a breakthrough later this year. Esso Exploration and production Chad Inc. is operator for the consortium proposing the project. It holds a 40% interest, Ste. Shell Tchadienne de Recherches et d`Exploitation has 40%, and Elf Hydrocarbures Tchad has a 20% share it purchased from Chevron Corp. in 1993 (OGJ, February 1, 1993, p 25). The governments of Chad and Cameroon, which had approved a framework agreement for the pipeline in 1995, now are studying an assessment of the pipeline`s environmental impact. If they approve the plans, they are expected to apply to the World Bank for financing. The paper describes the Chad fields, the export pipeline, background information, and the Banks role.

Crow, P.

1997-05-12T23:59:59.000Z

346

Key Renewable Energy Opportunities for Oklahoma Tribes  

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

TRIBAL LEADER FORUM SERIES TRIBAL LEADER FORUM SERIES KEY RENEWABLE ENERGY OPPORTUNITIES FOR OKLAHOMA TRIBES August 13, 2012 COX CONVENTION CENTER 100 West Sheridan Avenue, Oklahoma City, OK 73102 (405) 602-8500 The fifth in a series of planned U.S. DOE Office of Indian Energy-sponsored strategic energy development & investment forums, this forum is designed to give Oklahoma tribal leaders the opportunity to receive the latest updates on DOE's energy development efforts in Indian Country. The Forum will provide a venue for tribal leaders to discuss best practices in renewable energy development, including project development and finance, issues related to Oklahoma land ownership, and energy planning and energy markets. Tribal leaders will also have the opportunity to directly converse with each other by participating in a roundtable

347

Critical error rate of quantum-key-distribution protocols versus the size and dimensionality of the quantum alphabet  

SciTech Connect

A quantum-information analysis of how the size and dimensionality of the quantum alphabet affect the critical error rate of the quantum-key-distribution (QKD) protocols is given on an example of two QKD protocols--the six-state and {infinity}-state (i.e., a protocol with continuous alphabet) ones. In the case of a two-dimensional Hilbert space, it is shown that, under certain assumptions, increasing the number of letters in the quantum alphabet up to infinity slightly increases the critical error rate. Increasing additionally the dimensionality of the Hilbert space leads to a further increase in the critical error rate.

Sych, Denis V.; Grishanin, Boris A.; Zadkov, Victor N. [International Laser Center and Faculty of Physics, M.V. Lomonosov Moscow State University, 119899 Moscow (Russian Federation)

2004-11-01T23:59:59.000Z

348

Problems of Security Proofs and Fundamental Limit on Key Generation Rate in Quantum Key Distribution  

E-Print Network (OSTI)

It is pointed out that treatments of the error correcting code in current quantum key distribution protocols of the BB84 type are not correct under joint attack, and the general interpretation of the trace distance security criterion is also incorrect. With correct interpretation of the criterion as well as a correct treatment of the error correcting code and privacy amplification code, it is shown that even for an ideal system under just collective attack, the maximum tolerable quantum bit error rate is about 1.5% and a net key cannot actually be generated with practical error correcting codes even at such low rates, contrary to claims in the literature.

Horace P. Yuen

2012-05-16T23:59:59.000Z

349

Finite-key analysis of high-dimensional time-energy entanglement-based quantum key distribution  

E-Print Network (OSTI)

We present a security analysis against collective attacks for the recently proposed time-energy entanglement-based quantum key distribution protocol, given the practical constraints of single photon detector efficiency, channel loss, and finite-key considerations. We find a positive secure-key capacity when the key length increases beyond $10^4$ for eight-dimensional systems. The minimum key length required is reduced by the ability to post-select on coincident single-photon detection events. Including finite-key effects, we show the ability to establish a shared secret key over a 200 km fiber link.

Catherine Lee; Jacob Mower; Zheshen Zhang; Jeffrey H. Shapiro; Dirk Englund

2013-11-05T23:59:59.000Z

350

Compression station key to Texas pipeline project  

SciTech Connect

This was probably the largest pipeline project in the US last year, and the largest in Texas in the last decade. The new compressor station is a key element in this project. TECO, its servicing dealer, and compression packager worked closely throughout the planning and installation stages of the project. To handle the amount of gas required, TECO selected the GEMINI F604-1 compressor, a four-throw, single-stage unit with a six-inch stroke manufactured by Weatherford Enterra Compression Co. (WECC) in Corpus Christi, TX. TECO also chose WECC to package the compressors. Responsibility for ongoing support of the units will be shared among TECO, the service dealer and the packager. TECO is sending people to be trained by WECC, and because the G3600 family of engines is still relatively new, both the Caterpillar dealer and WECC sent people for advanced training at Caterpillar facilities in Peoria, IL. As part of its service commitment to TECO, the servicing dealer drew up a detailed product support plan, encompassing these five concerns: Training, tooling; parts support; service support; and commissioning.

NONE

1996-10-01T23:59:59.000Z

351

Efficient password-based authenticated key exchange without public information  

Science Conference Proceedings (OSTI)

Since the first password-based authenticated key exchange (PAKE) was proposed, it has enjoyed a considerable amount of interest from the cryptographic research community. To our best knowledge, most of proposed PAKEs based on Diffie-Hellman key exchange ...

Jun Shao; Zhenfu Cao; Licheng Wang; Rongxing Lu

2007-09-01T23:59:59.000Z

352

Implementation of Distributed Key Generation Algorithms using Secure Sockets  

Science Conference Proceedings (OSTI)

Distributed Key Generation (DKG) protocols are indispensable in the design of any cryptosystem used in communication networks. DKG is needed to generate public/private keys for signatures or more generally for encrypting/decrypting messages. One such ...

A. T. Chronopoulos; F. Balbi; D. Veljkovic; N. Kolani

2004-08-01T23:59:59.000Z

353

Exploring the context : a small hotel in Key West  

E-Print Network (OSTI)

This thesis develops a personal method and approach for designing in a delicate context such as the Key West Historic District. This thesis is composed of two parts. The first part presents observations of Key West, focusing ...

VanBeuzekom, Edrick

1984-01-01T23:59:59.000Z

354

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

Science Conference Proceedings (OSTI)

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

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

1994-05-01T23:59:59.000Z

355

The Role Of Modeling Assumptions And Policy Instruments in Evaluating The Global Implications Of U.S. Biofuel Policies  

Science Conference Proceedings (OSTI)

The primary objective of current U.S. biofuel law the Energy Independence and Security Act of 2007 (EISA) is to reduce dependence on imported oil, but the law also requires biofuels to meet carbon emission reduction thresholds relative to petroleum fuels. EISA created a renewable fuel standard with annual targets for U.S. biofuel use that climb gradually from 9 billion gallons per year in 2008 to 36 billion gallons (or about 136 billion liters) of biofuels per year by 2022. The most controversial aspects of the biofuel policy have centered on the global social and environmental implications of its potential land use effects. In particular, there is an ongoing debate about whether indirect land use change (ILUC) make biofuels a net source, rather sink, of carbon emissions. However, estimates of ILUC induced by biofuel production and use can only be inferred through modeling. This paper evaluates how model structure, underlying assumptions, and the representation of policy instruments influence the results of U.S. biofuel policy simulations. The analysis shows that differences in these factors can lead to divergent model estimates of land use and economic effects. Estimates of the net conversion of forests and grasslands induced by U.S. biofuel policy range from 0.09 ha/1000 gallons described in this paper to 0.73 ha/1000 gallons from early studies in the ILUC change debate. We note that several important factors governing LUC change remain to be examined. Challenges that must be addressed to improve global land use change modeling are highlighted.

Oladosu, Gbadebo A [ORNL; Kline, Keith L [ORNL

2010-01-01T23:59:59.000Z

356

Key Ingredient: Change in Material Boosts Prospects of ...  

Science Conference Proceedings (OSTI)

Key Ingredient: Change in Material Boosts Prospects of Ultrafast Single-photon Detector. From NIST Tech Beat: June 30, 2011. ...

2011-10-14T23:59:59.000Z

357

Nano Changes Rise to Macro Importance in a Key Electronics ...  

Science Conference Proceedings (OSTI)

Nano Changes Rise to Macro Importance in a Key Electronics Material. From NIST Tech Beat: April 7, 2009. ...

2012-10-01T23:59:59.000Z

358

Better 'Photon Loops' May Be Key to Computer and Physics ...  

Science Conference Proceedings (OSTI)

Better 'Photon Loops' May Be Key to Computer and Physics Advances. From NIST Tech Beat: August 22, 2011. ...

2012-08-23T23:59:59.000Z

359

Energy Usage Data Standard for US Smart Grid Passes Key ...  

Science Conference Proceedings (OSTI)

Energy Usage Data Standard for US Smart Grid Passes Key Advisory Panel Vote. From NIST Tech Beat: March 1, 2011. ...

2011-03-01T23:59:59.000Z

360

ITL Bulletin - ITL Updates Glossary of Key Information Security ...  

Science Conference Proceedings (OSTI)

... ITL UPDATES GLOSSARY OF KEY INFORMATION SECURITY TERMS ... ITL plans to keep the glossary current by providing updates online. ...

2013-06-12T23:59:59.000Z

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


361

Quantum key distribution system clocked at 2 GHz  

E-Print Network (OSTI)

Quantum key distribution system clocked at 2 GHz Karen J. Gordon, Veronica Fernandez, Gerald S, Ireland http://www.phy.hw.ac.uk/resrev/photoncounting/index.html Abstract: An improved quantum key-based quantum key distribution test system performance in terms of transmission distance and quantum bit error

Buller, Gerald S.

362

The Effective Number of Spatial Degrees of Freedom of a Time-Varying Field  

Science Conference Proceedings (OSTI)

The authors systematically investigate two easily computed measures of the effective number of spatial degrees of freedom (ESDOF), or number of independently varying spatial patterns, of a time-varying field of data. The first measure is based on ...

Christopher S. Bretherton; Martin Widmann; Valentin P. Dymnikov; John M. Wallace; Ileana Blad

1999-07-01T23:59:59.000Z

363

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts November 29, 2011 - 4:34pm Addthis THE WHITE HOUSE Office of the Press Secretary FOR IMMEDIATE RELEASENovember 29, 2011 President Obama Announces More Key Administration Posts WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals to key Administration posts: Frederick "Rick" Barton - Assistant Secretary for Conflict and Stabilization Operations and Coordinator for Reconstruction and Stabilization, Department of State Arun Majumdar - Under Secretary of Energy, Department of Energy Marie F. Smith - Member, Social Security Advisory Board The President also announced his intent to appoint the following

364

Visualization and exploration of time-varying medical image data sets  

Science Conference Proceedings (OSTI)

In this work, we propose and compare several methods for the visualization and exploration of time-varying volumetric medical images based on the temporal characteristics of the data. The principle idea is to consider a time-varying data set as a 3D ... Keywords: medical imaging, multi-dimensional scaling, time-varying data, transfer function, volume rendering

Zhe Fang; Torsten Mller; Ghassan Hamarneh; Anna Celler

2007-05-01T23:59:59.000Z

365

Analysis of Acoustic Signatures from Moving Vehicles UsingTime-Varying Autoregressive Models  

Science Conference Proceedings (OSTI)

Time-varying autoregressive (TVAR) modeling approach for the analysis of acoustic signatures from moving vehicles is presented in this paper. Acoustic signatures from moving vehicles are nonstationary, and features extracted under the stationary ... Keywords: acoustic, classification, time-varying autoregressive model, time-varying, vehicle identification

Kie B. Eom

1999-10-01T23:59:59.000Z

366

Secret key distillation from shielded two-qubit states  

Science Conference Proceedings (OSTI)

The quantum states corresponding to a secret key are characterized using the so-called private states, where the key part consisting of a secret key is shielded by the additional systems. Based on the construction, it was shown that a secret key can be distilled from bound entangled states. In this work, I consider the shielded two-qubit states in a key-distillation scenario and derive the conditions under which a secret key can be distilled using the recurrence protocol or the two-way classical distillation, advantage distillation together with one-way postprocessing. From the security conditions, it is shown that a secret key can be distilled from bound entangled states in a much wider range. In addition, I consider the case that in which white noise is added to quantum states and show that the classical distillation protocol still works despite a certain amount of noise although the recurrence protocol does not.

Bae, Joonwoo [School of Computational Sciences, Korea Institute for Advanced Study, Seoul 130-722 (Korea, Republic of)

2010-05-15T23:59:59.000Z

367

Secret key distillation from shielded two-qubit states  

E-Print Network (OSTI)

The quantum states corresponding to a secret key are characterized using the so-called private states, where the key part consisting of a secret key is shielded by the additional systems. Based on the construction, it was shown that a secret key can be distilled from bound entangled states. In this work, I consider the shielded two-qubit states in a key-distillation scenario and derive the conditions under which a secret key can be distilled using the recurrence protocol or the two-way classical distillation, advantage distillation together with one-way postprocessing. From the security conditions, it is shown that a secret key can be distilled from bound entangled states in a much wider range. In addition, I consider the case that in which white noise is added to quantum states and show that the classical distillation protocol still works despite a certain amount of noise although the recurrence protocol does not.

Joonwoo Bae

2008-03-03T23:59:59.000Z

368

This book adds an important nuance to the traditional historiographical assumption that trade in the Early Modern period was mostly conducted between family and those of the same  

E-Print Network (OSTI)

This book adds an important nuance to the traditional historiographical assumption that trade group. Rather, it is the assertion of this book, that there were very real and quite important trade relationships between merchants of different groups, and the book uses a case study of the Sephardim

van den Brink, Jeroen

369

EIA Data: 2011 United States Residential Sector Key Indicators and  

Open Energy Info (EERE)

Residential Sector Key Indicators and Residential Sector Key Indicators and Consumption Dataset Summary Description This dataset is the 2011 United States Residential Sector Key Indicators and Consumption, part of the Annual Energy Outlook that highlights changes in the AEO Reference case projections for key energy topics. Source EIA Date Released December 16th, 2010 (4 years ago) Date Updated Unknown Keywords consumption EIA energy residential sector key indicators Data application/vnd.ms-excel icon Residential Sector Key Indicators and Consumption (xls, 62.5 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment http://www.eia.gov/abouteia/copyrights_reuse.cfm

370

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts May 28, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals for key administration posts: Gordon Heddell, Inspector General, Department of Defense; Ellen Murray, Assistant Secretary for Resources and Technology, Department of Health and Human Services; Polly Trottenberg, Assistant Secretary for Transportation Policy, Department of Transportation; and James J. Markowsky, Assistant Secretary for Fossil Energy, Department of Energy. President Obama said, "Each of these individuals brings extensive expertise in their chosen fields, and they are joining my administration at a time

371

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts April 17, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals for key administration posts: Christine M. Griffin, Deputy Director of Office of Personnel Management; Kevin Concannon, Under Secretary for Food, Nutrition and Consumer Services, United States Department of Agriculture; Rajiv Shah, Under Secretary for Research, Education, and Economics, United States Department of Agriculture; Michael Nacht, Assistant Secretary of Defense (Global Strategic Affairs), Department of Defense; Mercedes Márquez, Assistant Secretary for Community Planning and Development, Department of Housing and

372

Florida Keys Electric Cooperative - Residential Rebate Program | Department  

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

Florida Keys Electric Cooperative - Residential Rebate Program Florida Keys Electric Cooperative - Residential Rebate Program Florida Keys Electric Cooperative - Residential Rebate Program < Back Eligibility Residential Savings Category Home Weatherization Commercial Weatherization Sealing Your Home Heating & Cooling Commercial Heating & Cooling Cooling Insulation Design & Remodeling Windows, Doors, & Skylights Program Info State Florida Program Type Utility Rebate Program Rebate Amount Rebates $25 - $500, max $1000 per member Florida Keys Electric Cooperative offers residential members rebates for installing energy efficient measures. To qualify for rebates, members must first call FKEC and make an appointment for a free home energy audit. An FKEC trained auditor will assess the home and make recommendations for

373

Natural Gas Markets: Recent Changes and Key Drivers  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration Independent Statistics & Analysis www.eia.gov Natural Gas Markets: Recent Changes and Key Drivers for

374

NREL: News - NREL Fills Key Leadership Role for Energy Systems...  

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

513 NREL Fills Key Leadership Role for Energy Systems Integration June 17, 2013 Bryan J. Hannegan will join the Energy Department's National Renewable Energy Laboratory on June 24...

375

Advanced Analysis Software Key to New, Energy-Efficient ...  

Advanced Analysis Software Key to New, Energy-Efficient Technologies Leveraging Scientific and Engineering Know-How to Advance Sources of Renewable En ...

376

EIA highlights key factors in new energy and financial markets ...  

U.S. Energy Information Administration (EIA)

Yesterday, EIA launched a new web-based assessment highlighting key factors that can affect crude oil prices called "Energy and Financial Markets: What Drives Crude ...

377

Overview of Indian Hydrogen Program and Key Safety Issues of...  

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

Hydrogen Energy Road Map - Initiatives - Target 2020 : GIFT - Programme in India - CNG - H 2 Programme - Partnership - Technology Development - Concerns & Challenges * Key...

378

Report Identifies Three Key R&D Priorities for Future ...  

Science Conference Proceedings (OSTI)

... Networking and Information Technology Research and Development Program. For more details, see Report Identifies Three Key R&D Priorities for ...

2011-07-18T23:59:59.000Z

379

A Key Enzyme to the Potency of an Anticancer Agent  

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

A Key Enzyme to the Potency of an Anticancer Agent Print Incorporation of halogen atoms into drug molecules often increases biological activity. This is the case with...

380

Thailand-Key Results and Policy Recommendations for Future Bioenergy...  

Open Energy Info (EERE)

013 Country Thailand UN Region South-Eastern Asia References Thailand-Key Results and Policy Recommendations for Future Bioenergy Development1 Abstract "The Government of...

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


381

TEC Working Group Topic Groups Rail Key Documents Radiation Monitoring...  

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

Radiation Monitoring Subgroup TEC Working Group Topic Groups Rail Key Documents Radiation Monitoring Subgroup Radiation Monitoring Subgroup Draft Work Plan - February 4, 2008 More...

382

Knowledge, Skills, and Abilities for Key Radiation Protection...  

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

Notice No. 1 November 2007 DOE STANDARD KNOWLEDGE, SKILLS, AND ABILITIES FOR KEY RADIATION PROTECTION POSITIONS AT DOE FACILITIES U.S. Department of Energy FSC 6910...

383

Key Facts about the Mathematics and Computer Science Division...  

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

Publications Documents Key Facts about the Mathematics and Computer Science Division Researchers in the Mathematics and Computer Science Division attack complex problems in four...

384

Advanced Analysis Software Key to New, Energy-Efficient ...  

Advanced Analysis Software Key to New, Energy-Efficient Technologies Leveraging Scientific and Engineering Know-How to Advance Sources of Renewable Energy

385

Fossil Energy Announces Addition of Three Key Staff Members ...  

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

appointment of three key senior staff members to the Office of Fossil Energy - James F. Wood, Deputy Assistant Secretary for Clean Coal; Christopher A. Smith, Deputy Assistant...

386

DVD Production Process & Key Factors for Quality Discs  

Science Conference Proceedings (OSTI)

... wide market share for DVD +/- RW; #2 World-wide market share for CD ... Key factor - deep knowledge of forming thin metal film - optimization of ...

2006-01-20T23:59:59.000Z

387

TEC Working Group Topic Groups Rail Key Documents Intermodal...  

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

Intermodal Subgroup TEC Working Group Topic Groups Rail Key Documents Intermodal Subgroup Intermodal Subgroup Draft Work Plan More Documents & Publications TEC Working Group Topic...

388

Big Coppitt Key, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bureau 2005 Place to 2006 CBSA Retrieved from "http:en.openei.orgwindex.php?titleBigCoppittKey,Florida&oldid227749" Categories: Places Stubs Cities What links here...

389

Big Pine Key, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bureau 2005 Place to 2006 CBSA Retrieved from "http:en.openei.orgwindex.php?titleBigPineKey,Florida&oldid227765" Categories: Places Stubs Cities What links here...

390

Building Technologies Office: Key Activities in Energy Efficiency  

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

work in three key areas in order to continually develop innovative, cost-effective energy saving solutions. research and development (R&D), market stimulation, and building...

391

Model-based estimation of time-varying parameters and state variables in aerobic bioprocesses  

Science Conference Proceedings (OSTI)

Keywords: adaptive observer, aerobic bioprocess, biomass concentration, biomass growth rate, model-based estimation, observer stability, oxygen comsumption, time-varying parameters, yield coefficient

V. Lubenova

2000-08-01T23:59:59.000Z

392

The Distributional and Environmental Effects of Time-Varying Prices in Competitive Electricity Markets  

E-Print Network (OSTI)

Run E?ects of Real-Time Electricity Pricing, CSEM WP-133 (Severin. Time-Varying Retail Electricity Prices: Theoryand Practice, Electricity Restructuring: Choices and

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

393

Vehicle use varies across U.S. regions - Today in Energy - U.S ...  

U.S. Energy Information Administration (EIA)

Greenhouse gas data, voluntary report- ing, electric power plant emissions. Highlights ... Reliance on vehicles can vary significantly across the United States.

394

Robust data sharing with key-value stores  

Science Conference Proceedings (OSTI)

A key-value store (KVS) offers functions for storing and retrieving values associated with unique keys. KVSs have become widely used as shared storage solutions for Internet-scale distributed applications. We present a fault-tolerant wait-free efficient ... Keywords: cloud storage, distributed storage

Cristina Basescu; Christian Cachin; Ittay Eyal; Robert Haas; Marko Vukolic

2011-06-01T23:59:59.000Z

395

Robust data sharing with key-value stores  

Science Conference Proceedings (OSTI)

A key-value store (KVS) offers functions for storing and retrieving values associated with unique keys. KVSs have become the most popular way to access Internet-scale cloud storage systems. We present an efficient wait-free algorithm that ...

Cristina Basescu; Christian Cachin; Ittay Eyal; Robert Haas; Alessandro Sorniotti; Marko Vukolic; Ido Zachevsky

2012-06-01T23:59:59.000Z

396

A framework for password-based authenticated key exchange1  

Science Conference Proceedings (OSTI)

In this paper, we present a general framework for password-based authenticated key exchange protocols, in the common reference string model. Our protocol is actually an abstraction of the key exchange protocol of Katz et al. and is based on the recently ... Keywords: Passwords, authentication, dictionary attack, projective hash functions

Rosario Gennaro; Yehuda Lindell

2006-05-01T23:59:59.000Z

397

Efficient decoy-state quantum key distribution with quantified security  

E-Print Network (OSTI)

We analyse the finite-size security of the efficient Bennett-Brassard 1984 protocol implemented with decoy states and apply the results to a gigahertz-clocked quantum key distribution system. Despite the enhanced security level, the obtained secure key rates are the highest reported so far at all fibre distances.

M. Lucamarini; K. A. Patel; J. F. Dynes; B. Frhlich; A. W. Sharpe; A. R. Dixon; Z. L. Yuan; R. V. Penty; A. J. Shields

2013-10-01T23:59:59.000Z

398

An extension of secure group communication using key graph  

Science Conference Proceedings (OSTI)

With the continuously emerging of Internet applications based on secure group communication, the design of secure group communication becomes an important Internet design topic. Group key management is important for secure group communication. Previous ... Keywords: Batch rekey, Group security, Key graph, Rekey

Zhang Jun; Zhou Yu; Ma Fanyuan; Gu Dawu; Bai Yingcai

2006-10-01T23:59:59.000Z

399

Electricity and Development: Global Trends and Key Challenges  

E-Print Network (OSTI)

Electricity and Development: Global Trends and Key Challenges Romeo Pacudan, PhD Risoe National · Prospects for electricity development · Investment requirements · Key challenges · Final remarks #12 and the transport burden in Tanzania. Source: Modi, 2004 #12;2. Energy and Human Development Access to electricity

400

Cryptanalysis of two three-party encrypted key exchange protocols  

Science Conference Proceedings (OSTI)

Due to the simplicity of maintaining human memorable passwords without any assistant storage device, password-based three-party encrypted key exchange (3PEKE) protocol has become one of the most promising research fields on user authentication and secure ... Keywords: Authentication, Cryptanalysis, Security, Three-party encrypted key exchange (3PEKE) protocol, Undetectable on-line password guessing attacks

N. W. Lo; Kuo-Hui Yeh

2009-11-01T23:59:59.000Z

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


401

Energy Security: A Key Requirement forSustainable Development  

E-Print Network (OSTI)

1 Energy Security: A Key Requirement forSustainable Development Perspective and Action Plan Robert Card Under Secretary US Department of Energy August 30, 2002 Session One: Maintaining Energy Security WSSD Side Event Energy for Sustainable Development IEA/UNEP/Eskom #12;2 Energy Security is a Key

402

MeerKAT Key Project Science, Specifications, and Proposals  

E-Print Network (OSTI)

We present the specifications of the MeerKAT Karoo Array Telescope, the South African Square Kilometre Array Precursor. Some of the key science for MeerKAT is described in this document. We invite the community to submit proposals for Large Key Projects.

Booth, R S; Jonas, J L; Fanaroff, B

2009-01-01T23:59:59.000Z

403

A matricial public key cryptosystem with digital signature  

Science Conference Proceedings (OSTI)

We describe a new public key cryptosystem using block upper triangular matrices with elements in Zp, based on a generalization of the discrete logarithm problem over a finite group. The proposed cryptosystem is very efficient, requiring ... Keywords: DLP, Diffie-Hellman, ElGamal, cryptography, digital signature, finite fields, polynomial matrices, public-key, security

Rafael Alvarez; Francisco-Miguel Martinez; Jose-Francisco Vicent; Antonio Zamora

2008-04-01T23:59:59.000Z

404

President Obama Announces More Key Administration Posts | Department of  

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

More Key Administration Posts More Key Administration Posts President Obama Announces More Key Administration Posts July 8, 2011 - 12:00am Addthis THE WHITE HOUSE Office of the Press Secretary WASHINGTON - Today, President Barack Obama announced his intent to nominate the following individuals to key Administration posts: Michael A. Hammer, Assistant Secretary for Public Affairs, Department of State Charles McConnell, Assistant Secretary for Fossil Energy, Department of Energy The President also announced his intent to appoint the following individuals to key Administration posts: Terry Guen, Member, Advisory Council on Historic Preservation Dorothy T. Lippert, Member, Advisory Council on Historic Preservation Rosemary A. Joyce, Member, Cultural Property Advisory Committee President Obama said, "Our nation will be greatly served by the talent and

405

Key Dates | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Key Dates Key Dates Albert Einstein Distinguished Educator Fellowship (AEF) Program Einstein Fellowship Home Eligibility Benefits Obligations How to Apply Key Dates Frequently Asked Questions Contact WDTS Home Key Dates Print Text Size: A A A RSS Feeds FeedbackShare Page Key Dates for the 2014-2015 Einstein Fellowship Application process. On-line Application Opens September 24, 2013 Application Deadline 5:00pm EST December 4, 2013 Application Review 7-8 weeks Notification to Semi-Finalists [Travel Arrangements made for Interviews in Washington, DC] Late January 2014 Interviews in Washington, DC February 23-25, 2014 Finalists Notifications March 2014 Congressional Fellows Placement Interviews June - July 2014 Fellows Arrive in Washington, DC August 2014 Orientation meeting for the 2014-2015 Einstein Fellows

406

Security Notions for Quantum Public-Key Cryptography  

E-Print Network (OSTI)

It is well known that Shor's quantum algorithm for integer factorization can break down the RSA public-key cryptosystem, which is widely used in many cryptographic applications. Thus, public-key cryptosystems in the quantum computational setting are longed for cryptology. In order to define the security notions of public-key cryptosystems, we have to model the power of the sender, receiver, adversary and channel. While we may consider a setting where quantum computers are available only to adversaries, we generally discuss what are the right security notions for (quantum) public-key cryptosystems in the quantum computational setting. Moreover, we consider the security of quantum public-key cryptosystems known so far.

Takeshi Koshiba

2007-02-19T23:59:59.000Z

407

Analysis on delay-dependent stability for neural networks with time-varying delays  

Science Conference Proceedings (OSTI)

This paper considers the problem of delay-dependent stability criteria for neural networks with time-varying delays. First, by constructing a newly augmented Lyapunov-Krasovskii functional, a less conservative stability criterion is established in terms ... Keywords: Lyapunov method, Neural networks, Stability, Time-varying delays

O. M. Kwon; Ju H. Park; S. M. Lee; E. J. Cha

2013-03-01T23:59:59.000Z

408

Delay Dependent Exponential Stability for Fuzzy Recurrent Neural Networks with Interval Time-Varying Delay  

Science Conference Proceedings (OSTI)

In this paper, the problem of delay-dependent exponential stability for fuzzy recurrent neural networks with interval time-varying delay is investigated. The delay interval has been decomposed into multiple non equidistant subintervals, on these interval ... Keywords: Delay decomposition, Fuzzy recurrent neural networks, Interval time-varying delay, Maximum admissible upper bound (MAUB), Maximum exponential convergent rate (MECR)

R. Chandran; P. Balasubramaniam

2013-04-01T23:59:59.000Z

409

Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices  

E-Print Network (OSTI)

1 Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices Sumit Mitra Ignacio;2 Motivation of this work · Deregulation of the electricity markets caused electricity prices to be highly? (retrofit) · Challenge: Multi-scale nature of the problem! Hourly varying electricity prices vs. 10-15 years

Grossmann, Ignacio E.

410

A "Nearly Ideal" Solution to Linear Time-Varying Rational Expectations Models  

Science Conference Proceedings (OSTI)

For a well-identified class of forward-looking models under rational expectations and time-varying parameters, it is shown that there exists always a solution having the property of being the closest, in mean square, to the state motion of the autoregressive ... Keywords: C5, C6, Kalman Filtering, Rational expectations models, Time-varying parameters

Francesco Carravetta; Marco M. Sorge

2010-04-01T23:59:59.000Z

411

An adaptive framework for visualizing unstructured grids with time-varying scalar fields  

Science Conference Proceedings (OSTI)

Interactive visualization of time-varying volume data is essential for many scientific simulations. This is a challenging problem since this data is often large, can be organized in different formats (regular or irregular grids), with variable instances ... Keywords: Time-varying data, Unstructured grids, Volume rendering

Fbio F. Bernardon; Steven P. Callahan; Joo L. D. Comba; Cludio T. Silva

2007-06-01T23:59:59.000Z

412

Analysis of Heart Rate Variability Using Time-Varying Filtering of Heart Transplanted Patients  

E-Print Network (OSTI)

Analysis of Heart Rate Variability Using Time-Varying Filtering of Heart Transplanted Patients the heart rate variability (HRV), obtained by using the time-varying integral pulse frequency modulation (TVIPFM) which is well adapted to the exercise stress testing. We consider that the mean heart period

Paris-Sud XI, Université de

413

Authenticated group Diffie-Hellman key exchange: theory and practice  

SciTech Connect

Authenticated two-party Diffie-Hellman key exchange allows two principals A and B, communicating over a public network, and each holding a pair of matching public/private keys to agree on a session key. Protocols designed to deal with this problem ensure A (B resp.)that no other principals aside from B (A resp.) can learn any information about this value. These protocols additionally often ensure A and B that their respective partner has actually computed the shared secret value. A natural extension to the above cryptographic protocol problem is to consider a pool of principals agreeing on a session key. Over the years several papers have extended the two-party Diffie-Hellman key exchange to the multi-party setting but no formal treatments were carried out till recently. In light of recent developments in the formalization of the authenticated two-party Diffie-Hellman key exchange we have in this thesis laid out the authenticated group Diffie-Hellman key exchange on firmer foundations.

Chevassut, Olivier

2002-10-03T23:59:59.000Z

414

A Key-Distribution Scheme for Wireless Home Automation Networks  

E-Print Network (OSTI)

Wireless home automation networks are one example of how wireless technologies may soon become part of our daily life, yet security in existing products is woefully inadequate. An important problem in this area is the question of secure key distribution. In this paper we present a key-distribution scheme geared towards home automation networks, but applicable to other networks with related properties as well. Our approach uses a decentralized scheme that is designed to work on resource-poor devices, allows easy addition and removal of devices and limits the workload on the end user while guaranteeing the secrecy of the exchanged keys even in the presence of subverted nodes.

Arno Wacker; Timo Heiber; Holger Cermann

2004-01-01T23:59:59.000Z

415

The Electricity Transmission System Opportunities to Overcome Key Challenges  

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

Opportunities to Overcome Key Challenges Opportunities to Overcome Key Challenges Summary Results of Breakout Group Discussions Electricity Transmission Workshop Double Tree Crystal City, Arlington, Virginia November 2, 2012 Breakout Group Discussion Overview Opportunities to Overcome Key Challenges Each of the four breakout groups prioritized the critical issues facing the grid from the list of synthesized challenges identified in the first breakout session of the workshop. Focusing on these top priorities, each group proposed specific R&D activities and initiatives that DOE can pursue to overcome these challenges and address existing gaps. Summary of Synthesized Challenges A. Need improved understanding of the availability, utility, maintenance, exchange, and security of data and associated requirements.

416

Key Dates | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Key Dates Key Dates Science Undergraduate Laboratory Internships (SULI) SULI Home Eligibility Benefits Participant Obligations How to Apply Key Dates Frequently Asked Questions Contact WDTS Home Key Dates Print Text Size: A A A RSS Feeds FeedbackShare Page At the submission deadline (shown in red) the application system will close, and no materials will be accepted after the submission deadline has passed. The Application System closes at 5:00 PM Eastern Time. SULI Internship Term: Spring 2014 Summer 2014* Fall 2013 On-line Application Opens August 6, 2013 October 18, 2013 May 1, 2013 Applications Due October, 1, 2013 5:00 PM ET January 10, 2014 5:00 PM ET June 12, 2013 5:00 PM ET Offer Notification Period Begins on or around October, 15, 2013 January 20, 2014 June 24, 2013

417

Key Dates | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Key Dates Key Dates Visiting Faculty Program (VFP) VFP Home Eligibility Benefits Participant Obligations How to Apply Key Dates Frequently Asked Questions Contact WDTS Home Key Dates Print Text Size: A A A RSS Feeds FeedbackShare Page At the submission deadline (shown in red) the application system will close, and no materials will be accepted after the submission deadline has passed. The Application System closes at 5:00 PM Eastern Time. VFP Term: Summer 2014 On-line Application Opens October 18, 2013 Applications Due January 10, 2014 5:00 PM ET* Offer Notification Period Begins January 20, 2014 All DOE Offers and Notifications Complete April 1, 2014 *A research proposal co-developed with a DOE laboratory researcher must be electronically submitted by all faculty applicants as part of their

418

U-268: Oracle Database Authentication Protocol Discloses Session Key  

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

8: Oracle Database Authentication Protocol Discloses Session 8: Oracle Database Authentication Protocol Discloses Session Key Information to Remote Users U-268: Oracle Database Authentication Protocol Discloses Session Key Information to Remote Users September 26, 2012 - 6:00am Addthis PROBLEM: Oracle Database Authentication Protocol Discloses Session Key Information to Remote Users PLATFORM: Oracle Database 11g Releases 1 and 2 ABSTRACT: A vulnerability was reported in Oracle Database. reference LINKS: Darkreading Threatpost Arstechnica Oracle Security Alerts SecurityTracker Alert ID: 1027558 CVE-2012-3137 IMPACT ASSESSMENT: Medium Discussion: The authentication protocol in Oracle Database 11g 1 and 2 allows remote attackers to obtain the session key and salt for arbitrary users, which leaks information about the cryptographic hash and makes it easier to

419

Energy Secretary Bodman Commends Key Milestone In MOX Program | Department  

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

Commends Key Milestone In MOX Program Commends Key Milestone In MOX Program Energy Secretary Bodman Commends Key Milestone In MOX Program April 1, 2005 - 11:28am Addthis WASHINGTON, DC - In response to the Nuclear Regulatory Commission's (NRC) authorization of the construction of a U.S. Mixed-Oxide (MOX) Fuel Fabrication Facility at the Department of Energy's Savannah River Site in South Carolina, Secretary of Energy Samuel W. Bodman today released the following statement: "Issuing the permit for construction of a MOX facility in South Carolina is the crucial next step in the MOX program. It is a key milestone in our efforts to dispose of surplus weapons grade plutonium in the U.S. and Russia," Secretary Bodman said. "We look forward to proceeding with this nonproliferation program that will ultimately eliminate enough

420

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts December 9, 2009 - 12:00am Addthis WASHINGTON - Today, President Barack Obama announced his intent to nominate the following individuals to key administration posts: Patricia A. Hoffman, Assistant Secretary for Electricity Delivery and Energy Reliability, Department of Energy Mari Del Carmen Aponte, Ambassador to the Republic of El Salvador, Department of State Donald E. Booth, Ambassador to the Federal Democratic Republic of Ethiopia, Department of State Larry Persily, Federal Coordinator for Alaska Natural Gas Transportation Projects President Obama said, "The depth of experience these individuals bring to their roles will be valuable to my administration as we work to bring about

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


421

Department of Energy Announces Key Additions to Public Affairs Staff |  

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

Announces Key Additions to Public Affairs Announces Key Additions to Public Affairs Staff Department of Energy Announces Key Additions to Public Affairs Staff February 26, 2009 - 12:00am Addthis WASHINGTON, DC - Today, the Department of Energy announced key staff additions to the Office Public Affairs: Dan Leistikow, Director of Public Affairs; Tom Reynolds, Deputy Director of Public Affairs; Stephanie Mueller, Press Secretary; and Tiffany Edwards, Deputy Press Secretary. "I am pleased to have these talented individuals join the Department of Energy", said Secretary Steven Chu. "Having worked on President Obama's presidential campaign Dan, Tom, Stephanie and Tiffany bring knowledge about the President's commitment to end our addiction to foreign oil, invest in alternative and renewable energy, address the global climate crisis and

422

U-268: Oracle Database Authentication Protocol Discloses Session Key  

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

8: Oracle Database Authentication Protocol Discloses Session 8: Oracle Database Authentication Protocol Discloses Session Key Information to Remote Users U-268: Oracle Database Authentication Protocol Discloses Session Key Information to Remote Users September 26, 2012 - 6:00am Addthis PROBLEM: Oracle Database Authentication Protocol Discloses Session Key Information to Remote Users PLATFORM: Oracle Database 11g Releases 1 and 2 ABSTRACT: A vulnerability was reported in Oracle Database. reference LINKS: Darkreading Threatpost Arstechnica Oracle Security Alerts SecurityTracker Alert ID: 1027558 CVE-2012-3137 IMPACT ASSESSMENT: Medium Discussion: The authentication protocol in Oracle Database 11g 1 and 2 allows remote attackers to obtain the session key and salt for arbitrary users, which leaks information about the cryptographic hash and makes it easier to

423

Table A4. Residential sector key indicators and consumption  

Gasoline and Diesel Fuel Update (EIA)

3 3 U.S. Energy Information Administration | Annual Energy Outlook 2013 Reference case Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Energy Information Administration / Annual Energy Outlook 2013 Table A4. Residential sector key indicators and consumption (quadrillion Btu per year, unless otherwise noted) Key indicators and consumption Reference case Annual growth 2011-2040 (percent) 2010 2011 2020 2025 2030 2035 2040 Key indicators Households (millions) Single-family ....................................................... 82.85 83.56 91.25 95.37 99.34 103.03 106.77 0.8% Multifamily ........................................................... 25.78 26.07 29.82 32.05 34.54 37.05 39.53 1.4%

424

DOE Announces More Key Administration Posts | Department of Energy  

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

More Key Administration Posts More Key Administration Posts DOE Announces More Key Administration Posts March 27, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals to key administration posts: Ray Mabus, Secretary of the Navy, Department of Defense; Donald Remy, General Counsel of the Army, Department of Defense; J. Randolph Babbitt, Administrator, Federal Aviation Administration; Jose D. Riojas, Assistant Secretary for Operations, Security and Preparedness, Department of Veterans Affairs; John Trasviña, Assistant Secretary for Fair Housing and Equal Opportunity, Department of Housing and Urban Development; Lawrence E. Strickling, Assistant Secretary for Communications and Information, Department of Commerce; and Cathy Zoi, Assistant Secretary for Energy Efficiency and

425

LEDSGP/Transportation Toolkit/Key Actions | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » LEDSGP/Transportation Toolkit/Key Actions < LEDSGP‎ | Transportation Toolkit(Redirected from Transportation Toolkit/Key Actions) Jump to: navigation, search LEDSGP Logo.png Transportation Toolkit Home Tools Training Contacts Key Actions for Low-Emission Development in Transportation Although no single approach or fixed process exists for low emission development strategies (LEDS), the following key actions are necessary steps for implementing LEDS in the transportation sector. Undertaking these actions requires flexibility to adapt to dynamic societal conditions in a

426

President Obama Announces More Key Administration Posts | Department of  

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

President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts President Obama Announces More Key Administration Posts June 10, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals for key administration posts: Joan Evans, Assistant Secretary for Congressional and Legislative Affairs, Department of Veterans Affairs; Warren F. "Pete" Miller, Jr., PhD, Assistant Secretary for Nuclear Energy, Department of Energy; and John R. Norris, Commissioner, Federal Energy Regulatory Commission. President Obama said, "I am grateful that these three impressive individuals will be working with me in these important roles. The commitment of these experienced public servants has made an impression on

427

Key Science and Engineering Indicators: Digest 2012 | Data.gov  

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

Key Science and Engineering Indicators: Digest 2012 Key Science and Engineering Indicators: Digest 2012 BusinessUSA Data/Tools Apps Challenges Let's Talk BusinessUSA You are here Data.gov » Communities » BusinessUSA » Data Key Science and Engineering Indicators: Digest 2012 Dataset Summary Description This 2012 digest of key S&E indicators is an interactive tool that draws from the National Science Board's (NSB's) Science and Engineering Indicators report. The digest serves to draw attention to important trends and data points from across Indicators and to introduce readers to the data resources available in the report. Tags {science,engineering,indicators,statistics,nsf,nsb,srs,federal,government,education,labor,employment,workforce,research,development,industry,international,global,r&d,technology,patents,"research citations"}

428

Recommendation for Pair-Wise Key Establishment Schemes ...  

Science Conference Proceedings (OSTI)

... with unilateral key-confirmation from party V to party ... may be a component of a protocol, which in ... Note that protocols, per se, are not specified in this ...

2013-06-05T23:59:59.000Z

429

A linux kernel cryptographic framework: decoupling cryptographic keys from applications  

Science Conference Proceedings (OSTI)

This paper describes a cryptographic service framework for the Linux kernel. The framework enables user-space applications to perform operations with cryptographic keys, while at the same time ensuring that applications cannot directly access or extract ...

Nikos Mavrogiannopoulos; Miloslav Trma?; Bart Preneel

2012-03-01T23:59:59.000Z

430

SLAC National Accelerator Laboratory - LCLS-II Passes Key Milestone...  

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

LCLS-II Passes Key Milestone in DOE Approval Process By Glennda Chui November 1, 2011 The Department of Energy has approved a preliminary budget, schedule and design plans for the...

431

First look at cellulose's early production could hold keys to...  

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

cellulose's early production could hold keys to bacteria-free medical devices, better biofuel By Jared Sagoff * May 14, 2013 Tweet EmailPrint Produced by plants as well as algae...

432

Worldwide Trends in Energy Use and Efficiency: Key Insights from...  

Open Energy Info (EERE)

Worldwide Trends in Energy Use and Efficiency: Key Insights from International Energy Agency (IEA) Indicator Analysis in Support of the Group of Eight (G8) Plan of Action Jump to:...

433

THIS GUIDE IS INTENDED TO PROVIDE KEY INFORMATION to  

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

THIS GUIDE IS INTENDED TO PROVIDE KEY INFORMATION to policy makers on energy codes and to offer guidance on how policy makers can support the creation of statewide energy...

434

The use of a logistic map for key generation  

E-Print Network (OSTI)

A key generation scheme is proposed and its performance analyzed. The method, the logistic map scheme (LMS), is applicable for use on wireless networks because it does not require devices to engage in computationally ...

Ando, Megumi, M. Eng. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

435

EIA Data: 2011 United States Residential Sector Key Indicators...  

Open Energy Info (EERE)

Residential Sector Key Indicators and Consumption This datasetis the 2011 United...

436

An Implementation of Key-Based Digital Signal Steganography  

Science Conference Proceedings (OSTI)

A real-life requirement motivated this case study of secure covert communication. An independently researched process is described in detail with an emphasis on implementation issues regarding digital images. A scheme using stego keys to create pseudo-random ...

Toby Sharp

2001-04-01T23:59:59.000Z

437

Nano Lect 1 Questions and Keypoints Key Points  

E-Print Network (OSTI)

Nano Lect 1 ­ Questions and Keypoints Key Points 1. What is nano technology: a. Very small technology with device in the 1nm to 100nm lots of useful properties Questions 1. Define nanotechnology. Is an nano

Smy, Tom

438

DOE Announces More Key Administration Posts | Department of Energy  

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

More Key Administration Posts More Key Administration Posts DOE Announces More Key Administration Posts March 20, 2009 - 12:00am Addthis WASHINGTON, DC - Today, President Barack Obama announced his intent to nominate the following individuals to key administration posts: Dr. Steven E. Koonin, Under Secretary for Science, Department of Energy; David Sandalow, Assistant Secretary for Policy and International Affairs, Department of Energy; Ambassador Johnnie Carson, Assistant Secretary for African Affairs, State Department; Kathy Martinez, Assistant Secretary for Disability Employment Policy (ODEP), Department of Labor; Jonathan S. Adelstein, Administrator for the Rural Utilities Service, United States Department of Agriculture; Timothy W. Manning, Deputy Administrator for National Preparedness, FEMA, Department of Homeland Security; and Priscilla

439

Key Activities in Energy Efficiency | Department of Energy  

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

About » Key Activities in Energy Efficiency About » Key Activities in Energy Efficiency Key Activities in Energy Efficiency The Building Technologies Office conducts work in three key areas in order to continually develop innovative, cost-effective energy saving solutions: research and development (R&D), market stimulation, and building codes and equipment standards. Working with our partners on these activities results in better products, better new homes, better ways to improve older homes, and better buildings in which to work, shop, and lead our everyday lives. Research and Development Spearhead the development of new, energy efficient technologies. Lead R&D activities that reduce home energy use through Building America. Collaborate with industry to improve the energy efficiency of new

440

Interest/Users Group Meeting Proceedings and Key Findings, 2011  

Science Conference Proceedings (OSTI)

This technical update is the summary of the meeting proceedings and key findings for the Fossil Operations and Maintenance Program Area Interest/Users Groups meetings held during 2011. The report represents a culmination of numerous meetings, conferences, users groups, and workshops conducted throughout the year. The document incorporates the meeting logistics and objectives; names of keynote speaker, attendees, and host utility; presentation location, and key findings and recommendations from each meeti...

2011-12-21T23:59:59.000Z

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


441

Security of quantum key distribution with arbitrary individual imperfections  

E-Print Network (OSTI)

We consider the security of the Bennett-Brassard 1984 (BB84) protocol for Quantum Key Distribution (QKD), with arbitrary individual imperfections simultaneously in the source and detectors. We provide the secure key generation rate, and show that only two parameters must be bounded to ensure security; the basis dependence of the source and a detector blinding parameter. The system may otherwise be completely uncharacterized and contain large losses.

ystein Mary; Lars Lydersen; Johannes Skaar

2009-03-20T23:59:59.000Z

442

Key-and-keyway coupling for transmitting torque  

DOE Patents (OSTI)

The design of an improved key-and-keyway coupling for the transmission of torque is given. The coupling provides significant reductions in stress concentrations in the vicinity of the key and keyway. The keyway is designed with a flat-bottomed u-shaped portion whose inboard end terminates in a ramp which is dished transversely, so that the surface of the ramp as viewed in transverse section defines an outwardly concave arc.

Blue, S.C.; Curtis, M.T.; Orthwein, W.C.; Stitt, D.H.

1975-11-18T23:59:59.000Z

443

Quantum Public-Key Encryption with Information Theoretic Security  

E-Print Network (OSTI)

We propose a definition for the information theoretic security of a quantum public-key encryption scheme, and present bit-oriented and two-bit-oriented encryption schemes satisfying our security definition via the introduction of a new public-key algorithm structure. We extend the scheme to a multi-bitoriented one, and conjecture that it is also information theoretically secure, depending directly on the structure of our new algorithm.

Jiangyou Pan; Li Yang

2010-06-02T23:59:59.000Z

444

W-like bound entangled states and secure key distillation  

E-Print Network (OSTI)

We construct multipartite entangled states with underlying W-type structure satisfying positive partial transpose (PPT) condition under any (N-1)|1 partition. Then we show how to distill N-partite secure key form the states using two different methods: direct application of local filtering and novel random key distillation scheme in which we adopt the idea form recent results on entanglement distillation. Open problems and possible implications are also discussed.

Remigiusz Augusiak; Pawel Horodecki

2008-11-21T23:59:59.000Z

445

Key distillation from Gaussian states by Gaussian operations  

E-Print Network (OSTI)

We study the secrecy properties of Gaussian states under Gaussian operations. Although such operations are useless for quantum distillation, we prove that it is possible to distill a secret key secure against any attack from sufficiently entangled Gaussian states with non-positive partial transposition. Moreover, all such states allow for key distillation, when Eve is assumed to perform finite-size coherent attacks before the reconciliation process.

M. Navascues; J. Bae; J. I. Cirac; M. Lewenstein; A. Sanpera; A. Acin

2004-05-11T23:59:59.000Z

446

Demonstration of Free-space Reference Frame Independent Quantum Key Distribution  

E-Print Network (OSTI)

Quantum key distribution (QKD) is moving from research laboratories towards applications. As computing becomes more mobile, cashless as well as cardless payment solutions are introduced, and a need arises for incorporating QKD in a mobile device. Handheld devices present a particular challenge as the orientation and the phase of a qubit will depend on device motion. This problem is addressed by the reference frame independent (RFI) QKD scheme. The scheme tolerates an unknown phase between logical states that varies slowly compared to the rate of particle repetition. Here we experimentally demonstrate the feasibility of RFI QKD over a free-space link in a prepare and measure scheme using polarisation encoding. We extend the security analysis of the RFI QKD scheme to be able to deal with uncalibrated devices and a finite number of measurements. Together these advances are an important step towards mass production of handheld QKD devices.

J. Wabnig; D. Bitauld; H. W. Li; A. Laing; J. L. O'Brien; A. O. Niskanen

2013-05-01T23:59:59.000Z

447

A robust on-demand path-key establishment framework via random key predistribution for wireless sensor networks  

Science Conference Proceedings (OSTI)

Secure communication is a necessity for some wireless sensor network (WSN) applications. However, the resource constraints of a sensor render existing cryptographic systems for traditional network systems impractical for a WSN. Random key predistribution ...

Guanfeng Li; Hui Ling; Taieb Znati; Weili Wu

2006-04-01T23:59:59.000Z

448

Scheduling algorithms for throughput maximization in time-varying networks with reconfiguration delays  

E-Print Network (OSTI)

We consider the control of possibly time-varying wireless networks under reconfiguration delays. Reconfiguration delay is the time it takes to switch network resources from one subset of nodes to another and it is a ...

Celik, Guner Dincer

2012-01-01T23:59:59.000Z

449

Effect of Varied Air Flow on Flame Structure of Laminar Inverse Diffusion Flames  

E-Print Network (OSTI)

D.A. , Combustion and Flame, 111:185, Table 1 IDF OperatingEffect of Varied Air Flow on Flame Structure ofLaminar Inverse Diffusion Flames Western States Section/

Mikofski, Mark A; Williams, Timothy C; Shaddix, Christopher R; Blevins, Linda G

2004-01-01T23:59:59.000Z

450

Valuing the Time-Varying Electricity Production of Solar Photovoltaic Cells  

E-Print Network (OSTI)

to a point, such weather also produces higher solar PV pro-solar PV production increases with hotter, sunnier weathersolar PV production that includes random vari- ation due to weather.

Borenstein, Severin

2005-01-01T23:59:59.000Z

451

Analysis of a Method to Estimate Chlorophyll-a Concentration from Irradiance Measurements at Varying Depths  

Science Conference Proceedings (OSTI)

A model to estimate chlorophyll-a concentration and yellow substance absorption at 440 nm from irradiance measurements made at varying depths is examined. The derivation of the model, requiring irradiance measurements at three wavebands, is ...

Jasmine S. Nahorniak; Mark R. Abbott; Ricardo M. Letelier; W. Scott Pegau

2001-12-01T23:59:59.000Z

452

A time-varying subsidence parameterization for the atmospheric boundary layer  

E-Print Network (OSTI)

This study examines the effect of a time-varying parameterization for subsidence in the atmospheric boundary layer (ABL) on a one-dimensional coupled land-atmosphere model. Measurements of large-scale divergence in the ABL ...

Flagg, David D. (David Douglas)

2005-01-01T23:59:59.000Z

453

Modeling the Effects of the Spatially Varying Sea Surface Temperature on the Marine Atmospheric Boundary Layer  

Science Conference Proceedings (OSTI)

A two-dimensional marine planetary boundary layer model is developed and applied to simulate the evolution of coupled dynamic, thermodynamic and cloud properties of the marine boundary layer over a zonally varying sea surface temperature field. ...

Mickey Man-Kui Wai

1988-01-01T23:59:59.000Z

454

An Algorithm for Lidar Mapping of Aerosol Concentrations in a Varying Atmospheric Background Density  

Science Conference Proceedings (OSTI)

An algorithm for the determination of the number density profiles of a specific aerosol as a function of time and space is developed and discussed. The algorithm is applicable to atmospheric conditions in which a varying density particulate ...

Moshe Kleiman; Smadar Egert; Ariel Cohen

1986-12-01T23:59:59.000Z

455

A perceptual study on haptic rendering of surface topography when both surface height and stiffness vary  

Science Conference Proceedings (OSTI)

This study is concerned with the distorted perception of surface topography when both surface height and surface stiffness vary. Three psychophysical experiments were conducted using virtual surfaces rendered with a force-feedback device. In Exp. I, ...

Laron Walker; Hong Z. Tan

2004-03-01T23:59:59.000Z

456

On combining local DCT with preprocessing sequence for face recognition under varying lighting conditions  

Science Conference Proceedings (OSTI)

Face recognition under varying lighting conditions remains an unsolved problem. In this work, a new photometric normalisation method based on local Discrete Cosine Transform in the logarithmic domain is proposed. The method is experimentally evaluated ...

Heydi Mndez-Vzquez; Josef Kittler; Chi-Ho Chan; Edel Garca-Reyes

2010-11-01T23:59:59.000Z

457

Dynamic Server Allocation Over Time-Varying Channels With Switchover Delay  

E-Print Network (OSTI)

We consider a dynamic server allocation problem over parallel queues with randomly varying connectivity and server switchover delay between the queues. At each time slot, the server decides either to stay with the current ...

Le, Long B.

458

Scheduling in parallel queues with randomly varying connectivity and switchover delay  

E-Print Network (OSTI)

We consider a dynamic server control problem for two parallel queues with randomly varying connectivity and server switchover delay between the queues. At each time slot the server decides either to stay with the current ...

Celik, Guner Dincer

459

Dynamics of lettuce drop incidence and Sclerotinia minor inoculum under varied crop rotations  

E-Print Network (OSTI)

Koike, S. T. 1998. Effects of crop rotation and irrigationImplications for yield and crop rotation. Asp. Appl. Biol.minor Inoculum Under Varied Crop Rotations J. J. Hao and K.

Hao, J J; Subbarao, K V

2006-01-01T23:59:59.000Z

460

Demonstration of Aerosol Property Profiling by Multiwavelength Lidar under Varying Relative Humidity Conditions  

Science Conference Proceedings (OSTI)

The feasibility of using a multiwavelength MieRaman lidar based on a tripled Nd:YAG laser for profiling aerosol physical parameters in the planetary boundary layer (PBL) under varying conditions of relative humidity (RH) is studied. The lidar ...

I. Veselovskii; D. N. Whiteman; A. Kolgotin; E. Andrews; M. Korenskii

2009-08-01T23:59:59.000Z

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


461

Testing for a time-varying price-cost markup in the Euro area inflation process  

E-Print Network (OSTI)

2004). In?ation and relative price variability: short-runand the informativeness of prices. Journal of Money, CreditTesting for a time-varying price-cost markup in the Euro

Bowdler, Christopher; Jansen, Eilev S.

2004-01-01T23:59:59.000Z

462

Dynamic power allocation and routing for satellite and wireless networks with time varying channels  

E-Print Network (OSTI)

Satellite and wireless networks operate over time varying channels that depend on attenuation conditions, power allocation decisions, and inter-channel interference. In order to reliably integrate these systems into a high ...

Neely, Michael J. (Michael James), 1975-

2004-01-01T23:59:59.000Z

463

Analysis of the Effects of Compositional and Configurational Assumptions on Product Costs for the Thermochemical Conversion of Lignocellulosic Biomass to Mixed Alcohols -- FY 2007 Progress Report  

DOE Green Energy (OSTI)

The purpose of this study was to examine alternative biomass-to-ethanol conversion process assumptions and configuration options to determine their relative effects on overall process economics. A process-flow-sheet computer model was used to determine the heat and material balance for each configuration that was studied. The heat and material balance was then fed to a costing spreadsheet to determine the impact on the ethanol selling price. By examining a number of operational and configuration alternatives and comparing the results to the base flow sheet, alternatives having the greatest impact the performance and cost of the overall system were identified and used to make decisions on research priorities.

Zhu, Yunhua; Gerber, Mark A.; Jones, Susanne B.; Stevens, Don J.

2008-12-05T23:59:59.000Z

464

Holographic dark energy with varying gravitational constant in Horava-Lifshitz cosmology  

E-Print Network (OSTI)

We investigate the holographic dark energy scenario with a varying gravitational constant in a flat background in the context of Ho\\v{r}ava-Lifshitz gravity. We extract the exact differential equation determining the evolution of the dark energy density parameter, which includes $G$ variation term. Also we discuss a cosmological implication of our work by evaluating the dark energy equation of state for low redshifts containing varying $G$ corrections.

M. R. Setare; Mubasher Jamil

2010-01-08T23:59:59.000Z

465

Quantum key distribution using gaussian-modulated coherent states  

E-Print Network (OSTI)

Quantum continuous variables are being explored as an alternative means to implement quantum key distribution, which is usually based on single photon counting. The former approach is potentially advantageous because it should enable higher key distribution rates. Here we propose and experimentally demonstrate a quantum key distribution protocol based on the transmission of gaussian-modulated coherent states (consisting of laser pulses containing a few hundred photons) and shot-noise-limited homodyne detection; squeezed or entangled beams are not required. Complete secret key extraction is achieved using a reverse reconciliation technique followed by privacy amplification. The reverse reconciliation technique is in principle secure for any value of the line transmission, against gaussian individual attacks based on entanglement and quantum memories. Our table-top experiment yields a net key transmission rate of about 1.7 megabits per second for a loss-free line, and 75 kilobits per second for a line with losses of 3.1 dB. We anticipate that the scheme should remain effective for lines with higher losses, particularly because the present limitations are essentially technical, so that significant margin for improvement is available on both the hardware and software.

F. Grosshans; G. Van Assche; J. Wenger; R. Brouri; N. J. Cerf; Ph. Grangier

2003-12-02T23:59:59.000Z

466

D:\assumptions_2001\assumptions2002\currentassump\demand.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 Petroleum Market Module. . . . . . . . . . . . .

467

Break-Even Cost for Residential Photovoltaics in the United States: Key Drivers and Sensitivities  

DOE Green Energy (OSTI)

Grid parity--or break-even cost--for photovoltaic (PV) technology is defined as the point where the cost of PV-generated electricity equals the cost of electricity purchased from the grid. Break-even cost is expressed in $/W of an installed system. Achieving break-even cost is a function of many variables. Consequently, break-even costs vary by location and time for a country, such as the United States, with a diverse set of resources, electricity prices, and other variables. In this report, we analyze PV break-even costs for U.S. residential customers. We evaluate some key drivers of grid parity both regionally and over time. We also examine the impact of moving from flat to time-of-use (TOU) rates, and we evaluate individual components of the break-even cost, including effect of rate structure and various incentives. Finally, we examine how PV markets might evolve on a regional basis considering the sensitivity of the break-even cost to four major drivers: technical performance, financing parameters, electricity prices and rates, and policies. We find that local incentives rather than ?technical? parameters are in general the key drivers of the break-even cost of PV. Additionally, this analysis provides insight about the potential viability of PV markets.

Denholm, P.; Margolis, R. M.; Ong, S.; Roberts, B.

2009-12-01T23:59:59.000Z

468

Breakeven Cost for Residential Photovoltaics in the United States: Key Drivers and Sensitivities (Report Summary) (Presentation)  

DOE Green Energy (OSTI)

"Break-even cost" for photovoltaic (PV) technology is defined as the point where the cost of PV-generated electricity equals the cost of electricity purchased from the grid. Break-even cost is expressed in $/W of an installed system. Achieving break-even cost is a function of many variables. Consequently, break-even costs vary by location and time for a country, such as the United States, with a diverse set of resources, electricity prices, and other variables. In this presentation, we introduce an analysis of PV break-even costs for residential customers in the United States, including an evaluation of some of the key drivers of PV breakeven both regionally and over time. This presentation includes our methodology and presents results for both near-term residential breakeven costs(2009) and future market sensitivities of break-even costs (2015). See also the the report "Break-Even Cost for Residential Photovoltaics in the United States: Key Drivers and Sensitivities". Presentation for NREL/TP-6A2-45991.

Denholm, P.; Margolis, R. M.; Ong, S.; Roberts, B.

2009-12-01T23:59:59.000Z

469

Energy Storage: The Key to a Reliable, Clean Electricity Supply |  

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

Storage: The Key to a Reliable, Clean Electricity Supply Storage: The Key to a Reliable, Clean Electricity Supply Energy Storage: The Key to a Reliable, Clean Electricity Supply February 22, 2012 - 4:52pm Addthis Improved energy storage technology offers a number of economic and environmental benefits. Improved energy storage technology offers a number of economic and environmental benefits. Matthew Loveless Matthew Loveless Data Integration Specialist, Office of Public Affairs What does this project do? ARPA-E's GRIDS program is investing in new technologies that make storing energy cheaper and more efficient. Energy storage isn't just for AA batteries any more. Thanks to investments from the Department's Advanced Research Projects Agency-Energy (ARPA-E), energy storage may soon play a bigger part in our electricity

470

Technology Key to Harnessing Natural Gas Potential | Department of Energy  

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

Technology Key to Harnessing Natural Gas Potential Technology Key to Harnessing Natural Gas Potential Technology Key to Harnessing Natural Gas Potential July 18, 2012 - 3:52pm Addthis Deputy Secretary Daniel Poneman tours Proinlosa Energy Corp. in Houston, Texas. Proinlosa is a company in the wind turbine manufacturing supply chain that develops tower parts and has benefitted from the Production Tax Credit (PTC). | Photo courtesy of Keri Fulton. Deputy Secretary Daniel Poneman tours Proinlosa Energy Corp. in Houston, Texas. Proinlosa is a company in the wind turbine manufacturing supply chain that develops tower parts and has benefitted from the Production Tax Credit (PTC). | Photo courtesy of Keri Fulton. Daniel B. Poneman Daniel B. Poneman Deputy Secretary of Energy What does this project do? Builds on President Obama's call for a new era for American energy

471

Sierra Geothermal's Key Find in Southern Nevada | Department of Energy  

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

Sierra Geothermal's Key Find in Southern Nevada Sierra Geothermal's Key Find in Southern Nevada Sierra Geothermal's Key Find in Southern Nevada July 13, 2010 - 5:17pm Addthis Sierra Geothermal discovered temperatures hot enough for large-scale geothermal energy production at one of its wells near Silver Peak, Nev. | Photo courtesy of Sierra Geothermal Sierra Geothermal discovered temperatures hot enough for large-scale geothermal energy production at one of its wells near Silver Peak, Nev. | Photo courtesy of Sierra Geothermal Paul Lester Communications Specialist for the Office of Energy Efficiency and Renewable Energy In May 2010, Sierra Geothermal determined temperature at the bottom of a well drilled at the company's Alum project near Silver Peak, Nev., was hot enough for commercial-sized geothermal energy production - measured as 147

472

Transportation Energy Futures Study: The Key Results and Conclusions  

Open Energy Info (EERE)

Transportation Energy Futures Study: The Key Results and Conclusions Transportation Energy Futures Study: The Key Results and Conclusions Webinar Home > Groups > OpenEI Community Central Graham7781's picture Submitted by Graham7781(1992) Super contributor 1 May, 2013 - 11:38 This webinar will outline the key results and conclusions from EERE's Transportation Energy Futures study, which highlights underexplored opportunities to reduce petroleum use and greenhouse gas emissions from the U.S. transportation sector. There will be time for questions from attendees at the end of the webinar. Principal Deputy Assistant Secretary Mike Carr will introduce the study and provide context on EERE's transportation energy strategy. In his role with EERE, Mike provides leadership direction on cross-cutting activities in EERE's portfolio. In particular, he is using his experience in policy

473

Sierra Geothermal's Key Find in Southern Nevada | Department of Energy  

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

Sierra Geothermal's Key Find in Southern Nevada Sierra Geothermal's Key Find in Southern Nevada Sierra Geothermal's Key Find in Southern Nevada July 13, 2010 - 5:17pm Addthis Sierra Geothermal discovered temperatures hot enough for large-scale geothermal energy production at one of its wells near Silver Peak, Nev. | Photo courtesy of Sierra Geothermal Sierra Geothermal discovered temperatures hot enough for large-scale geothermal energy production at one of its wells near Silver Peak, Nev. | Photo courtesy of Sierra Geothermal Paul Lester Communications Specialist, Office of Energy Efficiency and Renewable Energy In May 2010, Sierra Geothermal determined temperature at the bottom of a well drilled at the company's Alum project near Silver Peak, Nev., was hot enough for commercial-sized geothermal energy production - measured as 147

474

Florida Keys El Coop Assn, Inc | Open Energy Information  

Open Energy Info (EERE)

Keys El Coop Assn, Inc Keys El Coop Assn, Inc Jump to: navigation, search Name Florida Keys El Coop Assn, Inc Place Florida Utility Id 6443 Utility Location Yes Ownership C NERC Location FRCC NERC FRCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Rate Code 1 - Residential Service Residential Rate Code 2 - Commercial Service (General Service Non-Demand) Commercial Rate Code 3 - Commercial Service (General Service Demand) Commercial Average Rates Residential: $0.1210/kWh Commercial: $0.1220/kWh Industrial: $0.1140/kWh

475

Turn Your Key, Be Idle Free | Department of Energy  

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

Turn Your Key, Be Idle Free Turn Your Key, Be Idle Free Turn Your Key, Be Idle Free April 13, 2010 - 7:30am Addthis Shannon Brescher Shea Communications Manager, Clean Cities Program What activity wastes gasoline, costs money, produces pollutants, and yet doesn't get you anywhere? Idling! And yet, every year, Americans waste 3 billion gallons of fuel by idling their vehicles. Idling is running a vehicle any time that it's not moving. In this condition, the car's fuel economy is exactly zero miles per gallon. Although many people think that restarting the engine too often will wear out the starter, that idea is just an "old husband's tale." In fact, idling places unnecessary wear-and-tear on the engine, and many manufacturers discourage it. Although drivers can't avoid some amount of idling, such as being stuck in

476

Ariz. Rooftops Key to Unlocking the Potential of Distributed Solar |  

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

Ariz. Rooftops Key to Unlocking the Potential of Distributed Solar Ariz. Rooftops Key to Unlocking the Potential of Distributed Solar Ariz. Rooftops Key to Unlocking the Potential of Distributed Solar July 12, 2010 - 3:51pm Addthis APS will install solar photovoltaic panels like these in Castro Valley, Calif. for a pilot project studying distributed energy in Flagstaff, Ariz. | Photo courtesy of APS APS will install solar photovoltaic panels like these in Castro Valley, Calif. for a pilot project studying distributed energy in Flagstaff, Ariz. | Photo courtesy of APS Nestled in the mountains of northern Arizona and just 75 miles from Grand Canyon National Park, the city of Flagstaff, Ariz. is an ideal city for the Arizona Public Service (APS) to pilot a high concentration of solar photovoltaic energy systems. "Flagstaff is unique electrically," says Eran Mahrer, Director of Renewable

477

A Key Enzyme to the Potency of an Anticancer Agent  

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

A Key Enzyme to the Potency of A Key Enzyme to the Potency of an Anticancer Agent A Key Enzyme to the Potency of an Anticancer Agent Print Wednesday, 28 May 2008 00:00 Incorporation of halogen atoms into drug molecules often increases biological activity. This is the case with salinosporamide A (sal A), a natural product from the marine bacterium Salinispora tropica that is 500 times more active than sal B, its nonchlorinated analog. Sal A is in phase I human clinical trials for the treatment of multiple myeloma and solid tumors. A group of researchers, using diffraction data collected at ALS Beamline 8.2.2, discovered and characterized the chlorinating SalL enzyme, a crucial component in sal A biosynthesis that uses a unique chlorine-activating mechanism. Chlorine-Loving Enzyme Speeds Things Up

478

Property:Specializations, Capabilities, and Key Facility Attributes Not  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Specializations, Capabilities, and Key Facility Attributes Not Covered Elsewhere Jump to: navigation, search Property Name Specializations, Capabilities, and Key Facility Attributes Not Covered Elsewhere Property Type Text Pages using the property "Specializations, Capabilities, and Key Facility Attributes Not Covered Elsewhere" Showing 25 pages using this property. 1 11-ft Wave Flume Facility + Glass window 6 6-ft Wave Flume Facility + Glass window A Alden Large Flume + This is a recirculating flume facility, so a constant velocity can be maintained indefinitely. This allows collection of a much greater amount of data than possible in tow tanks. Alden's biologists are highly experienced in assessing the impacts of generation devices on fish and the facilities allow for accurate testing with fish in a highly controlled environment.

479

SECOQC White Paper on Quantum Key Distribution and Cryptography  

E-Print Network (OSTI)

The SECOQC White Paper on Quantum Key Distribution and Cryptography is the outcome on a thorough consultation and discussion among the participants of the European project SECOQC (www.secoqc.net). This paper is a review article that attempts to position Quantum Key Distribution (QKD) in terms of cryptographic applications. A detailed comparison of QKD with the solutions currently in use to solve the key distribution problem, based on classical cryptography, is provided. We also detail how the work on QKD networks lead within SECOQC will allow the deployment of long-distance secure communication infrastructures based on quantum cryptography. The purpose of the White Paper is finally to promote closer collaboration between classical and quantum cryptographers. We believe that very fruitful research, involving both communities, could emerge in the future years and try to sketch what may be the next challenges in this direction.

Romain Alleaume; Jan Bouda; Cyril Branciard; Thierry Debuisschert; Mehrdad Dianati; Nicolas Gisin; Mark Godfrey; Philippe Grangier; Thomas Langer; Anthony Leverrier; Norbert Lutkenhaus; Philippe Painchault; Momtchil Peev; Andreas Poppe; Thomas Pornin; John Rarity; Renato Renner; Gregoire Ribordy; Michel Riguidel; Louis Salvail; Andrew Shields; Harald Weinfurter; Anton Zeilinger

2007-01-23T23:59:59.000Z

480

Physical key-protected one-time pad  

E-Print Network (OSTI)

We describe an encrypted communication principle that can form a perfectly secure link between two parties without electronically saving either of their keys. Instead, cryptographic key bits are kept safe within the unique mesoscopic randomness of two volumetric scattering materials. We demonstrate how a shared set of patterned optical probes can generate 10 gigabits of statistically verified randomness between a pair of unique 2 cubic millimeter scattering objects. This shared randomness is used to facilitate information-theoretically secure communication following a modified one-time pad protocol. Benefits of volumetric physical storage over electronic memory include the inability to probe, duplicate or selectively reset any random bits without fundamentally altering the entire key space. Beyond the demonstrated communication scheme, our ability to securely couple the randomness contained within two unique physical objects may help strengthen the hardware for a large class of cryptographic protocols, which ...

Horstmeyer, Roarke; Vellekoop, Ivo; Yang, Changhuei

2013-01-01T23:59:59.000Z

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


481

Worldwide Trends in Energy Use and Efficiency: Key Insights from  

Open Energy Info (EERE)

Worldwide Trends in Energy Use and Efficiency: Key Insights from Worldwide Trends in Energy Use and Efficiency: Key Insights from International Energy Agency (IEA) Indicator Analysis in Support of the Group of Eight (G8) Plan of Action Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Worldwide Trends in Energy Use and Efficiency: Key Insights from International Energy Agency (IEA) Indicator Analysis in Support of the Group of Eight (G8) Plan of Action Focus Area: Power Plant Efficiency Topics: Potentials & Scenarios Website: www.iea.org/papers/2008/indicators_2008.pdf Equivalent URI: cleanenergysolutions.org/content/worldwide-trends-energy-use-and-effic Language: English Policies: "Regulations,Deployment Programs" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property.

482

Managing Supply Chain Key for Hawaii Appliance Rebate Program | Department  

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

Managing Supply Chain Key for Hawaii Appliance Rebate Program Managing Supply Chain Key for Hawaii Appliance Rebate Program Managing Supply Chain Key for Hawaii Appliance Rebate Program August 24, 2010 - 10:00am Addthis Lindsay Gsell Hawaii's appliance rebate program delivered 4,300 rebates to Hawaiians in just three days. And on just the first day of program, almost 4,000 ENERGY STAR qualified refrigerators were sold. Funded by $1.2 million from the American Recovery and Reinvestment Act, the program delivered a proportionate number of $250 ENERGY STAR refrigerator rebates to six of Hawaii's islands: Oahu, Hawaii, Maui, Kauai, Lanai, and Molokai. "It takes a lot of help from manufacturers, distributors, retailers, hauling company, recyclers, advertisers, printers, new reporters, radio stations and television station to create a success story," said Derrick

483

Managing Supply Chain Key for Hawaii Appliance Rebate Program | Department  

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

Managing Supply Chain Key for Hawaii Appliance Rebate Program Managing Supply Chain Key for Hawaii Appliance Rebate Program Managing Supply Chain Key for Hawaii Appliance Rebate Program August 24, 2010 - 10:00am Addthis Lindsay Gsell Hawaii's appliance rebate program delivered 4,300 rebates to Hawaiians in just three days. And on just the first day of program, almost 4,000 ENERGY STAR qualified refrigerators were sold. Funded by $1.2 million from the American Recovery and Reinvestment Act, the program delivered a proportionate number of $250 ENERGY STAR refrigerator rebates to six of Hawaii's islands: Oahu, Hawaii, Maui, Kauai, Lanai, and Molokai. "It takes a lot of help from manufacturers, distributors, retailers, hauling company, recyclers, advertisers, printers, new reporters, radio stations and television station to create a success story," said Derrick

484

Energy Storage: The Key to a Reliable, Clean Electricity Supply |  

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

Energy Storage: The Key to a Reliable, Clean Electricity Supply Energy Storage: The Key to a Reliable, Clean Electricity Supply Energy Storage: The Key to a Reliable, Clean Electricity Supply February 22, 2012 - 4:52pm Addthis Improved energy storage technology offers a number of economic and environmental benefits. Improved energy storage technology offers a number of economic and environmental benefits. Matthew Loveless Matthew Loveless Data Integration Specialist, Office of Public Affairs What does this project do? ARPA-E's GRIDS program is investing in new technologies that make storing energy cheaper and more efficient. Energy storage isn't just for AA batteries any more. Thanks to investments from the Department's Advanced Research Projects Agency-Energy (ARPA-E), energy storage may soon play a bigger part in our electricity

485

Single, Key Gene Discovery Could Streamline Production of Biofuels |  

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

Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels August 11, 2011 - 3:51pm Addthis WASHINGTON, DC -- A team of researchers at the Department of Energy's BioEnergy Science Center (BESC) have pinpointed the exact, single gene that controls ethanol production capacity in a microorganism. This discovery could be the missing link in developing biomass crops that produce higher concentrations of ethanol at lower costs. "The Department of Energy relies on the scientific discoveries of its labs and research centers to improve the production of clean energy sources," said Energy Secretary Steven Chu. "This discovery is an important step in developing biomass crops that could increase yield of

486

Building MRV Standards and Capacity in Key Countries | Open Energy  

Open Energy Info (EERE)

MRV Standards and Capacity in Key Countries MRV Standards and Capacity in Key Countries Jump to: navigation, search Name Building MRV Standards and Capacity in Key Countries Agency/Company /Organization World Resources Institute (WRI) Sector Climate Focus Area Renewable Energy Topics Implementation Website http://www.wri.org/topics/mrv Program Start 2011 Program End 2014 Country Brazil, Colombia, Ethiopia, India, South Africa, Thailand South America, South America, Eastern Africa, Southern Asia, Southern Africa, South-Eastern Asia References World Resources Institute (WRI)[1] Program Overview Developing countries will be required to measure, report, and verify (MRV) mitigation actions according to international guidelines, but few have the capacity to do so. The goal of this project is to build the capacity of a

487

Special Presentation: Key Findings from the Barrier Immune Radio  

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

Special Presentation: Key Findings from the Barrier Immune Radio Special Presentation: Key Findings from the Barrier Immune Radio Communications Project Speaker(s): Francis Rubinstein Girish Ghatikar Peter Haugen Date: November 29, 2007 - 12:00pm Location: 90-3122 The Barrier Immune Radio Communications (BIRC) Project was established in January 2007 by the Demand Response Emerging Technologies Program (DRETD) to identify radio frequency technologies that could enable the widespread deployment of Demand Response strategies in buildings. Researchers from Lawrence Berkeley National Laboratory and Lawrence Livermore National Laboratory will present the key findings from this project in a one-hour presentation. Researchers found that several of the RF technologies tested at LBNL's Molecular Foundry building were able to provide sufficiently

488

Small Businesses Key in Hydropower Tech Advancement | Department of Energy  

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

Businesses Key in Hydropower Tech Advancement Businesses Key in Hydropower Tech Advancement Small Businesses Key in Hydropower Tech Advancement September 6, 2011 - 2:59pm Addthis Earlier today, the Department of Energy and the Department of Interior announced nearly $17 million in funding over the next three years to advance hydropower technology. The funding announced today will go to sixteen innovative projects around the country, including sustainable small hydro projects, like the ones from Hydro Green Energy, a small business that handles hydroelectric power generation and power and communication line construction. The company, which has eight employees currently, has been awarded funding for two projects. Near Space Systems, a Colorado Springs-based company, is a service-disabled veteran-owned business with a manufacturing focus that's

489

Energy Critical Infrastructure and Key Resources Sector-Specific  

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

Energy Energy Critical Infrastructure and Key Resources Sector-Specific Plan as input to the National Infrastructure Protection Plan (Redacted) May 2007 Department of Energy Energy Sector Government Coordinating Council Letter of Support i ii Energy Sector-Specific Plan (Redacted) Energy Sector Coordinating Councils Letter of Concurrence The National Infrastructure Protection Plan (NIPP) provides the unifying structure for the integration of federal critical infrastructures and key resources (CI/KR) protection efforts into a single national program. The NIPP includes an overall framework integrating federal programs and activities that are currently underway in the various sectors, as well as new and developing CI/KR protection efforts. The Energy

490

LEDSGP/Transportation Toolkit/Key Actions | Open Energy Information  

Open Energy Info (EERE)

Actions Actions < LEDSGP‎ | Transportation Toolkit Jump to: navigation, search LEDSGP Logo.png Transportation Toolkit Home Tools Training Contacts Key Actions for Low-Emission Development in Transportation Although no single approach or fixed process exists for low-emission development strategies (LEDS), the following key actions are necessary steps for implementing LEDS in the transportation sector. Undertaking these actions requires flexibility to adapt to dynamic societal conditions in a way that complements existing climate and development goals in other sectors. Planners, researchers, and decision-makers should customize this LEDS implementation framework for the specific conditions of their transport sector, choosing from relevant resources to achieve a comprehensive action

491

Security bounds for continuous variables quantum key distribution  

E-Print Network (OSTI)

Security bounds for key distribution protocols using coherent and squeezed states and homodyne measurements are presented. These bounds refer to (i) general attacks and (ii) collective attacks where Eve interacts individually with the sent states, but delays her measurement until the end of the reconciliation process. For the case of a lossy line and coherent states, it is first proven that a secure key distribution is possible up to 1.9 dB of losses. For the second scenario, the security bounds are the same as for the completely incoherent attack.

Miguel Navascues; Antonio Acin

2004-07-19T23:59:59.000Z

492

Tomographic Quantum Cryptography: Equivalence of Quantum and Classical Key Distillation  

E-Print Network (OSTI)

The security of a cryptographic key that is generated by communication through a noisy quantum channel relies on the ability to distill a shorter secure key sequence from a longer insecure one. For an important class of protocols, which exploit tomographically complete measurements on entangled pairs of any dimension, we show that the noise threshold for classical advantage distillation is identical with the threshold for quantum entanglement distillation. As a consequence, the two distillation procedures are equivalent: neither offers a security advantage over the other.

Dagmar Bruss; Matthias Christandl; Artur Ekert; Berthold-Georg Englert; Dagomir Kaszlikowski; Chiara Macchiavello

2003-03-31T23:59:59.000Z

493

KeyTex Energy LLC | Open Energy Information  

Open Energy Info (EERE)

KeyTex Energy LLC KeyTex Energy LLC Jump to: navigation, search Name KeyTex Energy LLC Place Greensburg, Pennsylvania Zip 15601 Product KeyTex Energy is a full service energy and consulting company, helping businesses implement both wholesale and retail strategies to control and reduce energy costs as well as manage the risks and complexities associated with the energy markets. Coordinates 40.299245°, -79.543159° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.299245,"lon":-79.543159,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

494

The S/KEY One-Time Password System  

Science Conference Proceedings (OSTI)

This document describes the S/KEY* One-Time Password system as released for public use by Bellcore and as described in reference [3]. A reference implementation and documentation are available by anonymous ftp from ftp.bellcore.com in the directories ...

N. Haller

1995-02-01T23:59:59.000Z

495

Quantum Key Distribution and String Oblivious Transfer in Noisy Channels  

Science Conference Proceedings (OSTI)

We prove the unconditional security of a quantum key distribution (QKD) protocol on a noisy channel against the most general attack allowed by quantum physics. We use the fact that in a previous paper we have reduced the proof of the unconditionally ...

Dominic Mayers

1996-08-01T23:59:59.000Z

496

The Key Renewal Theorem for a Transient Markov Chain  

E-Print Network (OSTI)

We consider a time-homogeneous Markov chain $X_n$, $n\\ge0$, valued in ${\\bf R}$. Suppose that this chain is transient, that is, $X_n$ generates a $\\sigma$-finite renewal measure. We prove the key renewal theorem under condition that this chain has asymptotically homogeneous at infinity jumps and asymptotically positive drift.

Korshunov, Dmitry

2007-01-01T23:59:59.000Z

497

Essential lack of security proof in quantum key distribution  

E-Print Network (OSTI)

All the currently available unconditional security proofs on quantum key distribution, in particular for the BB84 protocol and its variants including continuous-variable ones, are invalid or incomplete at many points. In this paper we discuss some of the main known problems, particularly those on operational security guarantee and error correction. Most basic are the points that there is no security parameter in such protocols and it is not the case the generated key is perfect with probability $\\geq 1-\\epsilon$ under the trace distance criterion $d\\leq\\epsilon$, which is widely claimed in the technical and popular literature. The many serious security consequences of this error about the QKD generated key would be explained, including practical ramification on achievable security levels. It will be shown how the error correction problem alone may already defy rigorous quantitative analysis. Various other problems would be touched upon. It is pointed out that rigorous security guarantee of much more efficient quantum cryptosystems may be obtained by abandoning the disturbance-information tradeoff principle and utilizing instead the known KCQ (keyed communication in quantum noise) principle in conjunction with a new DBM (decoy bits method) principle that will be detailed elsewhere.

Horace P. Yuen

2013-10-02T23:59:59.000Z

498

Illustrated plant identification keys: An interactive tool to learn botany  

Science Conference Proceedings (OSTI)

An Interactive Dichotomous Key (IDK) for 390 taxa of vascular plants from the Ria de Aveiro, available on a website, was developed to help teach botany to school and universitary students. This multimedia tool includes several links to Descriptive and ... Keywords: Applications in subject areas, Post-secondary education, Secondary education, Teaching/learning strategies

Helena Silva; Rosa Pinho; Lsia Lopes; Antnio J. A. Nogueira; Paulo Silveira

2011-05-01T23:59:59.000Z

499

A Verifiable Random Function With Short Proofs and Keys  

E-Print Network (OSTI)

construction of a verifiable ran- dom function (VRF) on groups equipped with a bilinear mapping. Our to a VRF in contrast to prior works of Micali-Rabin-Vadhan [MRV99] and Lysyanskaya [Lys02]. Our proofs in [BB04a] to construct an identity based encryption scheme. Our VRF's proofs and keys have constant size

Dodis, Yevgeniy

500

A Verifiable Random Function With Short Proofs and Keys  

E-Print Network (OSTI)

#cient construction of a verifiable ran­ dom function (VRF) on groups equipped with a bilinear mapping. Our to a VRF in contrast to prior works of Micali­Rabin­Vadhan [MRV99] and Lysyanskaya [Lys02]. Our proofs in [BB04a] to construct an identity based encryption scheme. Our VRF's proofs and keys have constant size

Dodis, Yevgeniy