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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

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

7

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...

8

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.

9

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. . . . . . . . . . . . .

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 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.

12

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

13

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.

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 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

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 "key assumption incorporated" 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  

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).

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 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

24

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

25

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.

26

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.

27

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

28

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.

29

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

30

ICM, Incorporated  

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

ICM, Incorporated ICM, Incorporated Corporate Headquarters: Colwich, KS Proposed Facility Location: St. Joseph, MO Description: ICM will construct and operate a pilot integrated biorefinery using a proven biochemical platform pretreatment technology enhanced by energy recycling and process flow innovations to refine terrestrial lignocellulosic biomass into fuel ethanol. The proposed process furthers the cost effective production of ethanol from lignocellulosic biomass. CEO or Equivalent: Dave Vander Griend, President and CEO Participants: AGCO Engineering; NCAUR-ARS-Peoria; CERES, Inc; Edenspace Systems Corporation; Novozymes North America, Inc; South Dakota State University; Sun Ethanol, Inc.; U.S. Department of Energy's National Renewable Energy Lab; and VeraSun Energy

31

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

32

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

33

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.

34

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.

35

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.

36

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

37

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

38

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.

39

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.

40

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.

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

42

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

43

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

44

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...

45

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...

46

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...

47

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...

48

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).

49

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.

50

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).

51

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

52

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.

53

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

54

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

55

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

56

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

57

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).

58

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

59

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).

60

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

Note: This page contains sample records for the topic "key assumption incorporated" 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 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).

62

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

63

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).

64

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

65

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).

66

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).

67

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

68

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...

69

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

70

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

71

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).

72

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

73

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

74

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).

75

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).

76

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.

77

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...

78

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

79

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.

80

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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.

83

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

84

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

85

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

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 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...

88

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...

89

ii. articles of incorporation  

Science Conference Proceedings (OSTI)

led in t. 1'. .l'tment of in the '. 84730357. Secretary of the Commonwealth. ARTICLES OF INCORPORATION. OF . ms PIEI'ALHIRGICAL SOCIETY, INC.

90

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

91

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.

92

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

93

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

94

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

95

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":""}]}

96

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.

97

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

98

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

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

Incorporating Experience Curves in Appliance Standards Analysis  

Science Conference Proceedings (OSTI)

The technical analyses in support of U.S. energy conservation standards for residential appliances and commercial equipment have typically assumed that manufacturing costs and retail prices remain constant during the projected 30-year analysis period. There is, however, considerable evidence that this assumption does not reflect real market prices. Costs and prices generally fall in relation to cumulative production, a phenomenon known as experience and modeled by a fairly robust empirical experience curve. Using price data from the Bureau of Labor Statistics, and shipment data obtained as part of the standards analysis process, we present U.S. experience curves for room air conditioners, clothes dryers, central air conditioners, furnaces, and refrigerators and freezers. These allow us to develop more representative appliance price projections than the assumption-based approach of constant prices. These experience curves were incorporated into recent energy conservation standards for these products. The impact on the national modeling can be significant, often increasing the net present value of potential standard levels in the analysis. In some cases a previously cost-negative potential standard level demonstrates a benefit when incorporating experience. These results imply that past energy conservation standards analyses may have undervalued the economic benefits of potential standard levels.

Garbesi, Karina; Chan, Peter; Greenblatt, Jeffery; Kantner, Colleen; Lekov, Alex; Meyers, Stephen; Rosenquist, Gregory; Buskirk, Robert Van; Yang, Hung-Chia; Desroches, Louis-Benoit

2011-10-31T23:59:59.000Z

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


101

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

102

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

103

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

104

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

105

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.

106

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.

107

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.

108

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

109

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).

110

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).

111

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.

112

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)

113

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

114

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.

115

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

116

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.

117

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].

118

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

119

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

120

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),

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

122

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

123

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

124

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

125

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.

126

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.

127

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

128

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).

129

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.

130

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.

131

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.

132

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

133

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

134

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

135

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.

136

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

137

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,

138

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

139

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

140

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

142

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

143

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

144

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

145

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

146

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

147

RADIATION APPLICATIONS INCORPORATED  

Office of Legacy Management (LM)

. <' ," . . * . RADIATION APPLICATIONS INCORPORATED . 370 Lexl.ngton Avenue New York 17# New York jq.5' L- Contract No. A T (30-l)-2093 with the United States Atom ic Energy Commission F O A M SEPARATION Progress Report for March, 1959 Abstract Appreciable cesium enrichment in the foam has been obtained using the system sodium tetraphenyl boron-Geigy reagent. Enrichment ratios varied from 1.5 to 3.5 depending upon operating conditions. The en- richment appears to depend on the ratio of the sodium tetraphenyl boron to Geigy reagent rather than on the absolute values of the indi- vidual concentrations. Further experiments are being conducted to verify and extend the range of results. Continuous countercurrent column operation has been continued.

148

DISTRIBUTED AMPLIFIER INCORPORATING FEEDBACK  

DOE Patents (OSTI)

An improved distributed amplifier system employing feedback for stabilization is presented. In accordance with the disclosed invention, a signal to be amplified is applled to one end of a suitable terminated grid transmission line. At intervals along the transmission line, the signal is fed to stable, resistance-capacitance coupled amplifiers incorporating feedback loops therein. The output current from each amplifier is passed through an additional tube to minimize the electrostatic capacitance between the tube elements of the last stage of the amplifier, and fed to appropriate points on an output transmission line, similar to the grid line, but terminated at the opposite (input) end. The output taken from the unterminated end of the plate transmission line is proportional to the input voltage impressed upon the grid line.

Bell, P.R. Jr.

1958-10-21T23:59:59.000Z

149

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

150

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.

151

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.

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 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.

154

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.

155

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

156

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

The International Energy Module (IEM) performs two tasks in all NEMS runs. First, the module reads 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

157

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

158

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

159

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

160

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).

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

162

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).

163

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

164

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...

165

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

166

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...

167

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

168

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

169

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

170

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

171

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

172

TOXCO Incorporated | Open Energy Information  

Open Energy Info (EERE)

Place British Columbia, Canada Zip V1R 4L5 Product British Columbia-based, lithium battery recycling firm. References TOXCO Incorporated1 LinkedIn Connections CrunchBase...

173

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

174

Incorporating LCA tools in integrated simulation environments  

SciTech Connect

In this paper we address the issue of building data schema evolution in integrated simulation environments, as seen from the perspective of incorporating LCA tools within these environments. First we describe the key features of an integrated simulation environment designed for expandability, focusing on (a) the mechanism for the expansion of the integrated environment, and (b) its overall system architecture that allows processes and data to be added to the system without modifications or restructuring of existing code. We then focus on how the data schema allows the inclusion and maintenance of specialized construction objects bearing LCA data. Finally, we discuss various integration issues that arise from modeling capabilities and idiosyncrasies of individual simulation and analysis tools.

Pal, Vineeta; Papamichael, Konstantinos; Bourassa, Norman; Loffeld, John J.

2001-02-01T23:59:59.000Z

175

Molex Incorporated | Open Energy Information  

Open Energy Info (EERE)

Molex Incorporated Molex Incorporated Jump to: navigation, search Name Molex Incorporated Place Lisle, Illinois Zip 60532-1682 Product Illinois-based supplier of electronic components and interconnect products. The firm also produces junction boxes for PV modules. Coordinates 42.351811°, -76.004643° 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":42.351811,"lon":-76.004643,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

176

Tremco Incorporated | Open Energy Information  

Open Energy Info (EERE)

Tremco Incorporated Tremco Incorporated Jump to: navigation, search Name Tremco Incorporated Place Beachwood, Ohio Zip 44122 Sector Services Product Manufactures and sells roofing materials and services, as well as industrial coatings and sealants. The company has begun an effort to commercialise next generation building integrated PV systems. Coordinates 41.486346°, -81.501319° 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":41.486346,"lon":-81.501319,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

177

Rotek Incorporated | Open Energy Information  

Open Energy Info (EERE)

Rotek Incorporated Rotek Incorporated Jump to: navigation, search Name Rotek Incorporated Address 1400 South Chillicothe Road Place Aurora, Ohio Zip 44202 Sector Services, Solar, Wind energy Product Engineering/architectural/design; Maintenance and repair; Other:Component Supplier Phone number 330-562-4000 Website http://www.rotek-inc.com Coordinates 41.2783252°, -81.3460793° 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":41.2783252,"lon":-81.3460793,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

178

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

179

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

180

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

182

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

183

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

184

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

185

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

186

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

187

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

188

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

189

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,

190

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...

191

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...

192

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

193

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

194

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

195

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

196

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.

197

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

198

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

199

Incorporating Biodiversity Considerations Into Environmental Impact  

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

Incorporating Biodiversity Considerations Into Environmental Impact Incorporating Biodiversity Considerations Into Environmental Impact Analysis Under NEPA Incorporating Biodiversity Considerations Into Environmental Impact Analysis Under NEPA This Council on Environmental Quality (CEQ) report is intended to provide background on the emerging, complex subject of biodiversity, outline some general concepts that underlie biological diversity analysis and management, describe how the issue is currently addressed in NEPA analyses, and provide options for agencies undertaking NEPA analyses that consider biodiversity. Council on Environmental Quality: Incorporating Biodiversity Considerations Into Environmental Impact Analysis Under the National Environmental Policy Act More Documents & Publications Habitat Evaluation: Guidance for the Review of Environmental Impact

200

Incorporating Green Engineering and Sustainability into the ...  

Science Conference Proceedings (OSTI)

Presentation Title, Incorporating Green Engineering and Sustainability into the Engineering Curriculum. Author(s), Richard D Sisson, James C O'Shaughnessy, ...

Note: This page contains sample records for the topic "key assumption incorporated" 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

Guidance on Incorporating EPA's Pollution Prevention Strategy...  

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

Review Process The guidance discusses the Environmental Protection Agency's definition of pollution prevention; how to incorporate pollution prevention into the EPA...

202

Incorporating Biodiversity Considerations Into Environmental Impact  

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

Incorporating Biodiversity Considerations Into Environmental Impact Incorporating Biodiversity Considerations Into Environmental Impact Analysis Under NEPA Incorporating Biodiversity Considerations Into Environmental Impact Analysis Under NEPA This Council on Environmental Quality (CEQ) report is intended to provide background on the emerging, complex subject of biodiversity, outline some general concepts that underlie biological diversity analysis and management, describe how the issue is currently addressed in NEPA analyses, and provide options for agencies undertaking NEPA analyses that consider biodiversity. Council on Environmental Quality: Incorporating Biodiversity Considerations Into Environmental Impact Analysis Under the National Environmental Policy Act More Documents & Publications Habitat Evaluation: Guidance for the Review of Environmental Impact

203

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

204

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

205

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

206

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

207

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

208

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

209

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

210

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...

211

Comments of Qualcomm Incorporated | Department of Energy  

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

Qualcomm Incorporated Qualcomm Incorporated Comments of Qualcomm Incorporated Qualcomm is pleased to provide these detailed comments to the Department of Energy ("DOE" or "Department") on how current and future wireless broadband communications capabilities can support the energy management needs of electric utilities, businesses, and consumers, which include requirements for the evolving and growing Smart Grid. The DOE should be applauded for timely following-up on the recommendations in the Federal Communications Commission's National Broadband Plan ("NBP") that focus on how broadband communications systems can achieve the critically important U.S. goals of energy independence and enhanced energy efficiency. See FCC NBP at 247. In this regard, Qualcomm explains how commercial

212

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

213

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

214

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.

215

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

216

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

217

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

218

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

219

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.

220

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

222

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

223

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

224

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.

225

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

226

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

227

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

228

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

229

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

230

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

231

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

232

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

233

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.

234

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,

235

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

236

Shale-oil-recovery systems incorporating ore beneficiation. Final report.  

SciTech Connect

This study analyzed the recovery of oil from oil shale by use of proposed systems which incorporate beneficiation of the shale ore (that is concentration of the kerogen before the oil-recovery step). The objective was to identify systems which could be more attractive than conventional surface retorting of ore. No experimental work was carried out. The systems analyzed consisted of beneficiation methods which could increase kerogen concentrations by at least four-fold. Potentially attractive low-enrichment methods such as density separation were not examined. The technical alternatives considered were bounded by the secondary crusher as input and raw shale oil as output. A sequence of ball milling, froth flotation, and retorting concentrate is not attractive for Western shales compared to conventional ore retorting; transporting the concentrate to another location for retorting reduces air emissions in the ore region but cost reduction is questionable. The high capital and energy cost s results largely from the ball milling step which is very inefficient. Major improvements in comminution seem achievable through research and such improvements, plus confirmation of other assumptions, could make high-enrichment beneficiation competitive with conventional processing. 27 figures, 23 tables.

Weiss, M.A.; Klumpar, I.V.; Peterson, C.R.; Ring, T.A.

1982-10-01T23:59:59.000Z

237

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

238

Energy Efficient Electrochromic Windows Incorporating Ionic Liquids  

SciTech Connect

One approach to increasing the energy efficiency of windows is to control the amount of solar radiation transmitted through a window by using electrochromic technology. What is unique about this project is that the electrochromic is based on the reduction/oxidation reactions of cathodic and anodic organic semi-conducting polymers using room temperature ionic liquids as ion transport electrolytes. It is believed that these types of coatings would be a lower cost alternative to traditional all inorganic thin film based electrochromic technologies. Although there are patents1 based on the proposed technology, it has never been reduced to practice and thoroughly evaluated (i.e. durability and performance) in a window application. We demonstrate that by using organic semi-conductive polymers, specific bands of the solar spectrum (specifically visible and near infrared) can be targeted for electrochemical variable transmittance responsiveness. In addition, when the technology is incorporated into an insulating glass unit, the energy parameters such as the solar heat gain coefficient and the light to solar gain ratio are improved over that of a typical insulating glass unit comprised of glass with a low emissivity coating. A minimum of {approx}0.02 quads of energy savings per year with a reduction of carbon emissions for electricity of {approx}320 MKg/yr benefit is achieved over that of a typical insulating glass unit including a double silver low-E coating. Note that these values include a penalty in the heating season. If this penalty is removed (i.e. in southern climates or commercial structures where cooling is predominate year-round) a maximum energy savings of {approx}0.05 quad per year and {approx}801 MKg/yr can be achieved over that of a typical insulating glass unit including a double silver low-E coating. In its current state, the technology is not durable enough for an exterior window application. The primary downfall is that the redox chemistry fails to recover to a bleached state upon exposure to heat and solar radiation while being cycled over time from the bleached to the dark state. Most likely the polymers are undergoing degradation reactions which are accelerated by heat and solar exposure while in either the reduced or oxidized states and the performance of the polymers is greatly reduced over time. For this technology to succeed in an exterior window application, there needs to be more work done to understand the degradation of the polymers under real-life application conditions such as elevated temperatures and solar exposure so that recommendations for improvements in to the overall system can be made. This will be the key to utilizing this type of technology in any future real-life applications.

Cheri Boykin; James Finley; Donald Anthony; Julianna Knowles; Richard Markovic; Michael Buchanan; Mary Ann Fuhry; Lisa Perrine

2008-11-30T23:59:59.000Z

239

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

240

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

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We encourage you to perform a real-time search of NLEBeta
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241

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.

242

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

243

Green River Biodiesel Incorporated | Open Energy Information  

Open Energy Info (EERE)

Biodiesel Incorporated Biodiesel Incorporated Jump to: navigation, search Name Green River Biodiesel Incorporated Place Houston, Texas Zip 77056 Product Biodiesel project developer and producer. Coordinates 29.76045°, -95.369784° 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":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

244

Diverse Power Incorporated | Open Energy Information  

Open Energy Info (EERE)

Diverse Power Incorporated Diverse Power Incorporated Jump to: navigation, search Name Diverse Power Incorporated Place Georgia Utility Id 19219 Utility Location Yes Ownership C NERC Location SERC NERC SERC Yes Activity Distribution 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 General Electric Service Commercial General Electric Service* Commercial Outdoor Lighting HPS 100 W Lighting Outdoor Lighting HPS 150 W Lighting Outdoor Lighting HPS 250 W Lighting Outdoor Lighting HPS 400 W Lighting Outdoor Lighting MH 1000 W Lighting Outdoor Lighting MH 400 W Lighting Outdoor Lighting MV 175 W Lighting

245

MAN Ferrostaal Incorporated | Open Energy Information  

Open Energy Info (EERE)

MAN Ferrostaal Incorporated MAN Ferrostaal Incorporated Jump to: navigation, search Name MAN Ferrostaal Incorporated Place Cleveland Zip 44122 Product Project developer and engineering company and US-based operating subsidiary of MAN Ferrostaal AG. Coordinates 41.504365°, -81.690459° 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":41.504365,"lon":-81.690459,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

246

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

247

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

248

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

249

Combined cycle power plant incorporating coal gasification  

DOE Patents (OSTI)

A combined cycle power plant incorporating a coal gasifier as the energy source. The gases leaving the coal gasifier pass through a liquid couplant heat exchanger before being used to drive a gas turbine. The exhaust gases of the gas turbine are used to generate both high pressure and low pressure steam for driving a steam turbine, before being exhausted to the atmosphere.

Liljedahl, Gregory N. (Tariffville, CT); Moffat, Bruce K. (Simsbury, CT)

1981-01-01T23:59:59.000Z

250

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

251

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

252

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

253

Trapdoor security in a searchable public-key encryption scheme with a designated tester  

Science Conference Proceedings (OSTI)

We study a secure searchable public-key encryption scheme with a designated tester (dPEKS). The contributions of this paper are threefold. First, we enhance the existing security model to incorporate the realistic abilities of dPEKS attackers. Second, ... Keywords: Data security, Designated tester, Keyword search on encrypted data

Hyun Sook Rhee; Jong Hwan Park; Willy Susilo; Dong Hoon Lee

2010-05-01T23:59:59.000Z

254

BIG SUN Energy Technology Incorporation | Open Energy Information  

Open Energy Info (EERE)

Technology Incorporation Place Taiwan Zip 303 Sector Solar Product Taiwan-based solar cell manufacturer. References BIG SUN Energy Technology Incorporation1 LinkedIn...

255

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

256

Flux Power Incorporated | Open Energy Information  

Open Energy Info (EERE)

Flux Power Incorporated Flux Power Incorporated Jump to: navigation, search Name Flux Power Incorporated Place Vista, California Zip 92081 Product California-based FLux Ppower was created in late-2009 to provide monitoring, diagnostics and charging technology aimed at extending the life of lithium-ion batteries. The company signed a supply deal with Wheego in January 2010. Coordinates 37.989712°, -93.665689° 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":37.989712,"lon":-93.665689,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

257

General Biodiesel Incorporated | Open Energy Information  

Open Energy Info (EERE)

Biodiesel Incorporated Biodiesel Incorporated Jump to: navigation, search Name General Biodiesel Incorporated Place Seattle, Washington Zip 98136 Product General BioDieselâ"¢, Inc. specializes in producing high-quality biodiesel by processing vegetable oils (primarily palm, canola, soy, linseed, coconut, mustard and cotton) and by cleaning and recycling cooking oils. Coordinates 47.60356°, -122.329439° 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":47.60356,"lon":-122.329439,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

258

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 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 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 The smell of chlorine is unmistakable. It's in the swimming pool, in household bleach, and sometimes the faint odor of chlorine rises up from your tap water. But chlorine is more than a purifier and a disinfectant. It's found almost everywhere in nature-in table salt, dissolved in the ocean, and as a key ingredient in biosynthesis, a vital part of the metabolism of all living organisms.

259

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

260

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

262

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

263

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...

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

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

266

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

267

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...

268

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...

269

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

270

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

271

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

272

Incorporation of noble metals into aerogels  

DOE Patents (OSTI)

Aerogels or xerogels containing atomically dispersed noble metals for applications such as environmental remediation are disclosed. New noble metal precursors, such as Pt--Si or Pd(Si--P){sub 2}, have been created to bridge the incompatibility between noble metals and oxygen, followed by their incorporation into the aerogel or xerogel through sol-gel chemistry and processing. Applications include oxidation of hydrocarbons and reduction of nitrogen oxide species, complete oxidation of volatile organic carbon species, oxidative membranes for photocatalysis and partial oxidation for synthetic applications.

Hair, L.M.; Sanner, R.D.; Coronado, P.R.

1998-12-22T23:59:59.000Z

273

Incorporation of noble metals into aerogels  

DOE Patents (OSTI)

Aerogels or xerogels containing atomically dispersed noble metals for applications such environmental remediation. New noble metal precursors, such as Pt--Si or Pd(Si--P).sub.2, have been created to bridge the incompatibility between noble metals and oxygen, followed by their incorporation into the aerogel or xerogel through sol-gel chemistry and processing. Applications include oxidation of hydrocarbons and reduction of nitrogen oxide species, complete oxidation of volatile organic carbon species, oxidative membranes for photocatalysis and partial oxidation for synthetic applications.

Hair, Lucy M. (Livermore, CA); Sanner, Robert D. (Livermore, CA); Coronado, Paul R. (Livermore, CA)

1998-01-01T23:59:59.000Z

274

Radiation collimator and systems incorporating same  

SciTech Connect

A collimator including a housing having disposed therein a shield element surrounding a converter core in which a photon beam is generated from electrons emanating from a linear accelerator. A beam channeler longitudinally adjacent the shield element has a beam aperture therethrough coaxially aligned with, and of the same diameter as, an exit bore of the converter core. A larger entry bore in the converter core is coaxial with, and longitudinally separated from, the exit bore thereof. Systems incorporating the collimator are also disclosed.

Norman, Daren R. (Idaho Falls, ID); Yoon, Woo Y. (Idaho Falls, ID); Jones, James L. (Idaho Falls, ID); Haskell, Kevin J. (Idaho Falls, ID); Bennett, Brion D. (Idaho Falls, ID); Tschaggeny, Charles W. (Woods Cross, UT); Jones, Warren F. (Idaho Falls, ID)

2011-09-13T23:59:59.000Z

275

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

276

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

277

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

278

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

279

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

280

NEVADA TEAM AGREEMENT BETWEEN WACKENHUT SERVICES, INCORPORATED  

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

NEVADA TEAM NEVADA TEAM AGREEMENT BETWEEN WACKENHUT SERVICES, INCORPORATED AND INDEPENDENT GUARD ASSOCIATION OF NEVADA LOCAL NO. 1 2009 - 2014 LAS VEGAS, NEVADA LAS VEGAS, NEVADA AGREEMENT BETWEEN WSI AND INDEPENDENT GUARD ASSOCIATION OF NEVADA LOCAL NO. 1 2009 - 2014 LAS VEGAS, NEVADA 1 AGREEMENT BETWEEN WSI AND INDEPENDENT GUARD ASSOCIATION OF NEVADA LOCAL NO. 1 2009 - 2014 LAS VEGAS, NEVADA 2 PREAMBLE This Agreement is entered into this first day of July 2009, by and between WSI, hereinafter referred to as the "Company" and the Independent Guard Association of Nevada, Local No. 1, hereinafter referred to as the "Union" as the sole and exclusive representative for the purposes of collective bargaining for the Company's employees employed at the locations described in

Note: This page contains sample records for the topic "key assumption incorporated" 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

Radiation shielding materials and containers incorporating same  

DOE Patents (OSTI)

An improved radiation shielding material and storage systems for radioactive materials incorporating the same. The PYRolytic Uranium Compound ("PYRUC") shielding material is preferably formed by heat and/or pressure treatment of a precursor material comprising microspheres of a uranium compound, such as uranium dioxide or uranium carbide, and a suitable binder. The PYRUC shielding material provides improved radiation shielding, thermal characteristic, cost and ease of use in comparison with other shielding materials. The shielding material can be used to form containment systems, container vessels, shielding structures, and containment storage areas, all of which can be used to house radioactive waste. The preferred shielding system is in the form of a container for storage, transportation, and disposal of radioactive waste. In addition, improved methods for preparing uranium dioxide and uranium carbide microspheres for use in the radiation shielding materials are also provided.

Mirsky, Steven M. (Greenbelt, MD); Krill, Stephen J. (Arlington, VA); Murray, Alexander P. (Gaithersburg, MD)

2005-11-01T23:59:59.000Z

282

Solar cells incorporating light harvesting arrays  

DOE Patents (OSTI)

A solar cell incorporates a light harvesting array that comprises: (a) a first substrate comprising a first electrode; and (b) a layer of light harvesting rods electrically coupled to the first electrode, each of the light harvesting rods comprising a polymer of Formula I: X.sup.1.paren open-st.X.sup.m+1).sub.m (I) wherein m is at least 1, and may be from two, three or four to 20 or more; X.sup.1 is a charge separation group (and preferably a porphyrinic macrocycle, which may be one ligand of a double-decker sandwich compound) having an excited-state of energy equal to or lower than that of X.sup.2 ; and X.sup.2 through X.sup.m+1 are chromophores (and again are preferably porphyrinic macrocycles).

Lindsey, Jonathan S. (Raleigh, NC); Meyer, Gerald J. (Baltimore, MD)

2002-01-01T23:59:59.000Z

283

Radiation Shielding Materials and Containers Incorporating Same  

Science Conference Proceedings (OSTI)

An improved radiation shielding material and storage systems for radioactive materials incorporating the same. The PYRolytic Uranium Compound (''PYRUC'') shielding material is preferably formed by heat and/or pressure treatment of a precursor material comprising microspheres of a uranium compound, such as uranium dioxide or uranium carbide, and a suitable binder. The PYRUC shielding material provides improved radiation shielding, thermal characteristic, cost and ease of use in comparison with other shielding materials. The shielding material can be used to form containment systems, container vessels, shielding structures, and containment storage areas, all of which can be used to house radioactive waste. The preferred shielding system is in the form of a container for storage, transportation, and disposal of radioactive waste. In addition, improved methods for preparing uranium dioxide and uranium carbide microspheres for use in the radiation shielding materials are also provided.

Mirsky, Steven M.; Krill, Stephen J.; and Murray, Alexander P.

2005-11-01T23:59:59.000Z

284

Radiation Shielding Materials and Containers Incorporating Same  

DOE Patents (OSTI)

An improved radiation shielding material and storage systems for radioactive materials incorporating the same. The PYRolytic Uranium Compound (''PYRUC'') shielding material is preferably formed by heat and/or pressure treatment of a precursor material comprising microspheres of a uranium compound, such as uranium dioxide or uranium carbide, and a suitable binder. The PYRUC shielding material provides improved radiation shielding, thermal characteristic, cost and ease of use in comparison with other shielding materials. The shielding material can be used to form containment systems, container vessels, shielding structures, and containment storage areas, all of which can be used to house radioactive waste. The preferred shielding system is in the form of a container for storage, transportation, and disposal of radioactive waste. In addition, improved methods for preparing uranium dioxide and uranium carbide microspheres for use in the radiation shielding materials are also provided.

Mirsky, Steven M.; Krill, Stephen J.; and Murray, Alexander P.

2005-11-01T23:59:59.000Z

285

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

286

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

287

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

288

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

289

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...

290

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

291

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

292

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

293

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

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

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

299

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

300

Blasting detonators incorporating semiconductor bridge technology  

SciTech Connect

The enormity of the coal mine and extraction industries in Russia and the obvious need in both Russia and the US for cost savings and enhanced safety in those industries suggests that joint studies and research would be of mutual benefit. The author suggests that mine sites and well platforms in Russia offer an excellent opportunity for the testing of Sandia`s precise time-delay semiconductor bridge detonators, with the potential for commercialization of the detonators for Russian and other world markets by both US and Russian companies. Sandia`s semiconductor bridge is generating interest among the blasting, mining and perforation industries. The semiconductor bridge is approximately 100 microns long, 380 microns wide and 2 microns thick. The input energy required for semiconductor bridge ignition is one-tenth the energy required for conventional bridgewire devices. Because semiconductor bridge processing is compatible with other microcircuit processing, timing and logic circuits can be incorporated onto the chip with the bridge. These circuits can provide for the precise timing demanded for cast effecting blasting. Indeed tests by Martin Marietta and computer studies by Sandia have shown that such precise timing provides for more uniform rock fragmentation, less fly rock, reduce4d ground shock, fewer ground contaminants and less dust. Cost studies have revealed that the use of precisely timed semiconductor bridges can provide a savings of $200,000 per site per year. In addition to Russia`s vast mineral resources, the Russian Mining Institute outside Moscow has had significant programs in rock fragmentation for many years. He anticipated that collaborative studies by the Institute and Sandia`s modellers would be a valuable resource for field studies.

Bickes, R.W. Jr.

1994-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

302

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

303

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

304

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

305

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

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

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

311

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

312

Deuterium incorporation in biomass cell wall components by NMR analysis  

SciTech Connect

A commercially available deuterated kale sample was analyzed for deuterium incorporation by ionic liquid solution 2H and 1H nuclear magnetic resonance (NMR). This protocol was found to effectively measure the percent deuterium incorporation at 33%, comparable to the 31% value determined by combustion. The solution NMR technique also suggested by a qualitative analysis that deuterium is preferentially incorporated into the carbohydrate components of the kale sample.

Foston, Marcus B [ORNL; McGaughey, Joseph [ORNL; O'Neill, Hugh Michael [ORNL; Evans, Barbara R [ORNL; Ragauskas, Arthur J [ORNL

2012-01-01T23:59:59.000Z

313

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

314

Formation and Incorporation Energies of Fission Gases He, Xe, and ...  

Science Conference Proceedings (OSTI)

Presentation Title, Formation and Incorporation Energies of Fission Gases He, Xe , ... nuclear fuels are bcc alloys of uranium that swell under fission conditions,...

315

Glass Plates under Micro-indentation Incorporation in Glass Ionomer  

Science Conference Proceedings (OSTI)

Effects of nanocrystalline calcium de?cient hydroxyapatite gnCDHAl incorporation in glass ..... K., Nishino, M., 2003. Toughness, bonding and ?uoride release.

316

STATEMENT OF CONSIDERATIONS REQUEST BY SOLAR TURBINES INCORPORATED...  

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

a significantly improved combustion system for its Mercury 50 advanced industrial gas turbine by selectively incorporating advanced alloys, coatings, and composite and...

317

REQUEST BY SOLAR TURBINES INCORPORATED FOR AN ADVANCE WAIVER...  

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

SOLAR TURBINES INCORPORATED FOR AN ADVANCE WAIVER OF DOMESTIC AND FOREIGN RIGHTS IN SUBJECT INVENTIONS MADE IN THE COURSE OF OR UNDER DEPARTMENT OF ENERGY COOPERATIVE AGREEMENT NO....

318

Incorporating Genomics and Bioinformatics across the Life Sciences Curriculum  

E-Print Network (OSTI)

Page Incorporating Genomics and Bioinformatics across the2007) Discovering Genomics, Proteomics, and Bioinformatics,2003) Public access for teaching genomics, proteomics, and

Ditty, Jayna L.

2012-01-01T23:59:59.000Z

319

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

320

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

322

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

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

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...

326

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...

327

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...

328

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,...

329

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...

330

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,...

331

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...

332

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...

333

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

334

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...

335

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

336

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

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

Determining the Effectiveness of Incorporating Geographic Information Into Vehicle Performance Algorithms  

SciTech Connect

This thesis presents a research study using one year of driving data obtained from plug-in hybrid electric vehicles (PHEV) located in Sacramento and San Francisco, California to determine the effectiveness of incorporating geographic information into vehicle performance algorithms. Sacramento and San Francisco were chosen because of the availability of high resolution (1/9 arc second) digital elevation data. First, I present a method for obtaining instantaneous road slope, given a latitude and longitude, and introduce its use into common driving intensity algorithms. I show that for trips characterized by >40m of net elevation change (from key on to key off), the use of instantaneous road slope significantly changes the results of driving intensity calculations. For trips exhibiting elevation loss, algorithms ignoring road slope overestimated driving intensity by as much as 211 Wh/mile, while for trips exhibiting elevation gain these algorithms underestimated driving intensity by as much as 333 Wh/mile. Second, I describe and test an algorithm that incorporates vehicle route type into computations of city and highway fuel economy. Route type was determined by intersecting trip GPS points with ESRI StreetMap road types and assigning each trip as either city or highway route type according to whichever road type comprised the largest distance traveled. The fuel economy results produced by the geographic classification were compared to the fuel economy results produced by algorithms that assign route type based on average speed or driving style. Most results were within 1 mile per gallon ({approx}3%) of one another; the largest difference was 1.4 miles per gallon for charge depleting highway trips. The methods for acquiring and using geographic data introduced in this thesis will enable other vehicle technology researchers to incorporate geographic data into their research problems.

Sera White

2012-04-01T23:59:59.000Z

339

Enhancing the soil organic matter pool through biomass incorporation.  

DOE Green Energy (OSTI)

A study was installed in the Upper Coastal Plain of South Carolina, USA, that sought to examine the impact of incorporating downed slash materials into subsoil layers on soil chemical and physical properties as compared with the effect of slash materials left on the soil surface. Baseline levels of slash were estimated by establishing transects within harvested stands and estimating the quantity of down wood and stumps. An equivalent quantity of biomass and two times the baseline levels were incorporated into subsurface soil layers by a CMI RS 500B reclaimer/stabilizer. Two sites were examined which differed in soil textural composition: sandy vs. clay. Site differences had no impact on machine productivity and machine costs were estimated at $US 521 ha-1 and $US 633 ha-1 on the ''sandy'' and ''clay'' sites, respectively. The feasibility of the CM1 for biomass incorporation is low due to high unit area costs but increased machine productivity would reduce costs and improve its potential. Biomass incorporation improved carbon and nutrient content of each site, especially on the sandy site. Slash levels had an impact on nutrient content but the differences were not statistically significant. For the sandy site, improvements in soil physical properties were evident in response to incorporation and machine planting operations. Bulk density and soil strength were reduced in response to biomass incorporation and tillage to levels that would not limit root production. The differences in soil physical response between incorporated treatments were minimal and not statistically significant.

Sanchez, Felipe, G.; Carter, Emily, A.; Klepac, John, F.

2003-06-11T23:59:59.000Z

340

Guidance: Incorporating EPA's Pollution Prevention Strategy into Environmental Reviews  

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

$'1 $'1 f%'1OIR A N Iv { JM ............................................... EiW'KRO>31ENTAL PROTECTIOX AGENCY OFF~E C)F FEI)ERAL ACTIVITIES Guidance on Incorporating EPA's Pollution Prevention Strategy ,' into EPA's Environmental Revielv Process The Office of Federal Activities (OFA) is issuing guidance which incorporates the Environmental Protection Agency (EPA) Pollution Prevention Strategy into the Agency's National Environmental Policy Act (NEPA) and Section 309 of the Clean Air Act review processes. Prevention To implement thePollution Act of 1990, this guidance focuses primarily upon influencing federal agencies' policies, practices, and regulatory functions to incorporate pollution prevention into their planning and decision-making. IMckzround

Note: This page contains sample records for the topic "key assumption incorporated" 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

Technical Assistance to PDMA Punjab in Incorporating Climate Compatibility  

Open Energy Info (EERE)

Assistance to PDMA Punjab in Incorporating Climate Compatibility Assistance to PDMA Punjab in Incorporating Climate Compatibility Considerations into Reconstruction and Village Development Planning Jump to: navigation, search Name Technical Assistance to PDMA Punjab in Incorporating Climate Compatibility Considerations into Reconstruction and Village Development Planning Agency/Company /Organization Climate and Development Knowledge Network (CDKN), United Kingdom Department for International Development Partner Provincial Disaster Management Authority (PDMA), Government of Pakistan Sector Climate, Land Focus Area Renewable Energy, Economic Development, Energy Efficiency, Greenhouse Gas, Land Use Topics Adaptation, Finance, Low emission development planning, Policies/deployment programs Website http://cdkn.org/project/planni

342

Campaigns and incentive programs that incorporate ENERGY STAR | ENERGY STAR  

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

Campaigns and incentive programs that incorporate ENERGY STAR Campaigns and incentive programs that incorporate ENERGY STAR Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Policies that specify the use of ENERGY STAR tools Campaigns and incentive programs that incorporate ENERGY STAR Lead by example Gather support Develop programs and policies Host a competition Use financing vehicles

343

Pakistan-Technical Assistance to PDMA Punjab in Incorporating Climate  

Open Energy Info (EERE)

Pakistan-Technical Assistance to PDMA Punjab in Incorporating Climate Pakistan-Technical Assistance to PDMA Punjab in Incorporating Climate Compatibility Considerations into Reconstruction and Village Development Planning Jump to: navigation, search Name Technical Assistance to PDMA Punjab in Incorporating Climate Compatibility Considerations into Reconstruction and Village Development Planning Agency/Company /Organization Climate and Development Knowledge Network (CDKN), United Kingdom Department for International Development Partner Provincial Disaster Management Authority (PDMA), Government of Pakistan Sector Climate, Land Focus Area Renewable Energy, Economic Development, Energy Efficiency, Greenhouse Gas, Land Use Topics Adaptation, Finance, Low emission development planning, Policies/deployment programs Website http://cdkn.org/project/planni

344

Incorporating Biodiversity Considerations into Environmental Impact Analysis under NEPA  

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

Incorporating Biodiversity Considerations Incorporating Biodiversity Considerations Into Environmental Impact Analysis Under the National Environmental Policy Act Incorporating Biodiversity Considerations Into Environmental Impact Analysis Under the National Environmental Policy Act CouncilonEnvironmental Quality Executive Officeof thePresident 722Jackson Place, NW Washington, DC 20503 January 1993 This report presents the results of consultations by the Council on Environmental Quality (CEQ) concerning the consideration of biological diversity in analyses prepared under the National Environmental Policy Act (NEPA). This report is intended to provide background on the emerging, complex subject of biodi- versity, outline some general concepts that underlie biological diversity analysis and man-

345

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

346

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.

347

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

348

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

349

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

350

DOE Cites Bechtel National Incorporated for Price-Anderson Violations |  

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

Incorporated for Price-Anderson Incorporated for Price-Anderson Violations DOE Cites Bechtel National Incorporated for Price-Anderson Violations March 16, 2006 - 12:46pm Addthis WASHINGTON, DC - The Department of Energy (DOE) today notified Bechtel National Incorporated (BNI) that it will fine the company $198,000 for violations of the Department's nuclear safety requirements. BNI is the primary design and construction contractor for the Waste Treatment and Immobilization Plant (WTP). The Preliminary Notice of Violation (PNOV) issued today cited a series of violations that occurred during the design and construction of the WTP between May 2002 and September 2005. Violations include failure to abide by design codes documented in facility safety requirements, failure to abide by inspection requirements for waste processing vessels, failure to utilize

351

DOE Cites Bechtel National Incorporated for Price-Anderson Violations |  

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

Incorporated for Price-Anderson Incorporated for Price-Anderson Violations DOE Cites Bechtel National Incorporated for Price-Anderson Violations October 4, 2007 - 3:14pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today notified Bechtel National Incorporated (BNI) that it will fine the company $165,000 for violations of the Department's nuclear safety requirements. BNI is the primary design and construction contractor for the Waste Treatment and Immobilization Plant (WTP) located at the Hanford Site in Richland, Washington. The Preliminary Notice of Violation (PNOV) issued today cited a series of violations that occurred during the design and construction of the WTP between October 2001 and February 2006. Violations include failures in quality processes to control design changes, and to ensure vendor-supplied

352

Stakeholder Engagement and Outreach: Incorporating Wind in Cap and Trade  

Wind Powering America (EERE)

Incorporating Wind in Cap and Trade Programs Incorporating Wind in Cap and Trade Programs There are various methods of allocating allowances to renewable energy sources under cap and trade programs, such as renewable energy set asides and output-based approaches. Background materials and presentations from the January 12, 2006 Webcast below, provide information on why it is important to include wind and other renewables in cap and trade programs and how best to incorporate them. Implications of Carbon Regulation for Green Power Markets Bird, L.; Holt, E.; Carroll, G. National Renewable Energy Laboratory, April 2007. January 12, 2006 Webcast: Incorporating Renewable Energy under the Clean Air Interstate Rule (CAIR) Co-Sponsors American Wind Energy Association (AWEA) U.S. DOE/NREL Wind Powering America

353

Incorporating Non-energy Benefits into Energy Savings Performance Contracts  

E-Print Network (OSTI)

the purposes of this paper, non-energy benefits are definedthat Incorporate Non-energy Benefits This paper identified aPaper presented to American Council for an Energy Efficient

Larsen, Peter

2013-01-01T23:59:59.000Z

354

National Policy Assurances to be Incorporated as Award Terms | Department  

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

National Policy Assurances to be Incorporated as Award Terms National Policy Assurances to be Incorporated as Award Terms National Policy Assurances to be Incorporated as Award Terms The following are the National Policy Assurances which are incorporated by reference as Award Terms at time of Award. The National Policy Assurances which apply to the award are those in effect on the date of award. For example, the August 2008 version applies to all awards from August 2008 through the present. National_Policy_Assurances-September_ 2011.pdf National Policy Assurances - August 2008 National Policy Assurances - September 2007 National Policy Assurances - May 2006 National Policy Assurances - July 2005 National Policy Assurances - October 2004 More Documents & Publications Microsoft Word - NationalPolicyAssurances5-06.doc

355

Synthesis of Monolithic Iron Incorporated Silica Aerogels by Ambient ...  

Science Conference Proceedings (OSTI)

With the Fe to Si molar ratio not exceeding 0.10, the bulk density of iron incorporated silica aerogels increased to 0.55g/cm3, while the porosity reduced to 76%...

356

Incorporating software architecture in the computer science curriculum  

Science Conference Proceedings (OSTI)

This workshop introduces the concepts of software architecture and how to incorporate these concepts into the computer science and software engineering curriculum. Participants will learn techniques used in industry to specify quality attributes critical ...

Martin L. Barrett; Ayse Bener; Steve Chenoweth

2011-05-01T23:59:59.000Z

357

Effects of Incorporation of Silica and Zirconia Nanoparticles on the ...  

Science Conference Proceedings (OSTI)

Composites with weak interface showed essentially no change in Tg and damping or even ... On the other hand, incorporation of the particles did not alter the thermal ... of a Novel Hybrid Bimodal Network Elastomer with Inorganic Cross

358

The Intrinsic Structure of Optic Flow Incorporating Measurement Duality  

Science Conference Proceedings (OSTI)

The purpose of this article is to define optic flow for scalar and density images without using a priori knowledge other than its defining conservation principle, and to incorporate measurement ...

Luc Florack; Wiro Niessen; Mads Nielsen

1998-05-01T23:59:59.000Z

359

ISO New England, Incorporated Smart Grid Project | Open Energy Information  

Open Energy Info (EERE)

Incorporated Smart Grid Project Incorporated Smart Grid Project Jump to: navigation, search Project Lead ISO New England, Incorporated Country United States Headquarters Location Holyoke, Massachusetts Additional Benefit Places Connecticut, Maine, New Hampshire, Rhode Island, Vermont Recovery Act Funding $7993714 Total Project Value $18087427 Coverage Area Coverage Map: ISO New England, Incorporated Smart Grid Project Coordinates 42.2042586°, -72.6162009° 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":[]}

360

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

362

Single and Multiple Heteroatom Incorporation in MFI Zeolites  

E-Print Network (OSTI)

Zeolites are crystalline inorganic solids that are industrially used for adsorption, ion exchange and catalysis. As catalysts, they have been particularly successful in the hydrocarbon processing industry due to their unique activities and selectivities. Zeolites are mainly used in acid catalyzed reactions, but their catalytic functionality can be diversified through the incorporation of elements that are traditionally not part of their framework. The incorporation of various elements has been studied in recent decades resulting in zeolites with potential to perform different chemistries or improve catalytic performance in existing ones. However, many of these investigations have been conducted under conditions that do not necessarily represent realistic scenarios for industrial implementation. The main objective of this dissertation was to study the single and simultaneous framework incorporation of tin, boron, germanium and aluminum in MFI zeolites under synthesis conditions that are more in line with industrial preparations. These include the use of mixtures in alkaline media with high concentration of precursor species. The interest on tin resides on its potential for Lewis acid catalysis, while boron and germanium have potential for modulating acid strength and enhancing catalytic properties respectively. Three specific systems were studied: MFI zeolites with simultaneous incorporation of germanium and aluminum (i.e. Ge-Al-MFI zeolites), MFI zeolites with simultaneous incorporation of germanium and boron (i.e. B-Ge-MFI zeolites), and MFI zeolites with single incorporation of tin (i.e. Sn-MFI zeolites). Systematic synthesis experiments were coupled with extensive analytical characterization in order to assess how element incorporation and zeolite physicochemical properties are affected by synthesis conditions. In addition, the catalytic activity of Sn-MFI zeolites for the hydroxylation of phenol was studied. The general conclusion from this work is that framework incorporation of these elements is highly influenced by pH, mixture composition and the presence of sodium cations. Sodium cations are commonly included in industrial preparations through the use of sodium hydroxide, but they were found to negatively affect framework incorporation due to a tendency to form stable extra-framework impurities with the heteroatoms, especially germanium and tin. pH and mixture composition are particularly influential in controlling germanium and boron incorporation, while the incorporation of tin, its coordination environment and catalytic performance were found to depend on synthesis conditions as well as post-synthesis treatments.

Garcia Vargas, Nataly

2012-12-01T23:59:59.000Z

363

ENHANCEMENT OF STRUCTURAL FOAM MATERIALS BY INCORPORATION OF GASIFIER SLAG  

SciTech Connect

As advanced gasification technology is increasingly adopted as an energy source, disposal of the resulting slag will become a problem. We have shown that gasifier slag can be incorporated into foamed glass, which is currently being manufactured as an abrasive and as an insulating material. The slag we add to foamed glass does not simply act as filler, but improves the mechanical properties of the product. Incorporation of gasifier slag can make foamed glass stronger and more abrasion resistant.

Olin Perry Norton; Ronald A. Palmer; W. Gene Ramsey

2006-03-15T23:59:59.000Z

364

Building commissioning: The key to quality assurance  

SciTech Connect

This Guide is written to aid building owners and retrofit project managers currently participating in the Rebuild America program. The Guide provides information on implementing building commissioning projects that will optimize the results of existing building equipment improvements and retrofits projects. It should be used in coordination with Rebuild America`s Community Partnership Handbook. The Handbook describes, in detail, eight important steps necessary for planning and carrying out a community-wide energy-efficiency program. In step number 7 of the Handbook, commissioning is shown to be an integral aspect of implementing a building retrofit. The commissioning process ensures that a facility is safe, efficient, comfortable, and conducive to the presumed activities for which it was constructed. Rebuild America strongly encourages its partners to incorporate commissioning into their retrofit projects. By verifying the correct installation, functioning, operation, and maintenance of equipment, the commissioning process ensures that efficiency measures will continue to deliver benefits over the long term. Although commissioning can take place after the equipment has been installed, it is more effective when it takes place over the entire equipment installation process.

1998-05-01T23:59:59.000Z

365

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

366

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

367

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

368

Unconditional Security of Time-energy Entanglement Quantum Key Distribution using Dual-basis Interferometry  

E-Print Network (OSTI)

High-dimensional quantum key distribution (HDQKD) offers the possibility of high secure-key rate (SKR) with high photon-information efficiency (PIE). We consider HDQKD based on the time-energy entanglement (TEE) produced by spontaneous parametric downconversion (SPDC), and show that it is secure against collective attacks. Its security rests upon visibility data---obtained from Franson and conjugate-Franson interferometers---that probe photon-pair frequency correlations and arrival-time correlations. From these measurements an upper bound can be established on the eavesdropper's Holevo information by translating the Gaussian-state security analysis for continuous-variable QKD so that it applies to our HDQKD protocol. We show that visibility data from just the Franson interferometer provides a weaker, but nonetheless useful, SKR lower bound. To handle multiple-pair emissions, we incorporate the decoy-state approach into our protocol. Our results suggest that TEE-based HDQKD could permit a 650 bit/sec SKR over 200 km transmission distance in optical fiber with a PIE of 1.9 secure-key bits per photon coincidence in the key-generation phase using receivers with 15% system efficiency.

Zheshen Zhang; Jacob Mower; Dirk Englund; Franco N. C. Wong; Jeffrey H. Shapiro

2013-11-04T23:59:59.000Z

369

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

370

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

371

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

372

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

373

Incorporating Aggregated PV Systems into the Power Grid | Open Energy  

Open Energy Info (EERE)

Incorporating Aggregated PV Systems into the Power Grid Incorporating Aggregated PV Systems into the Power Grid Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Spain Installed Wind Capacity Website Focus Area: Renewable Energy Topics: Market Analysis Website: www.gwec.net/index.php?id=131 Equivalent URI: cleanenergysolutions.org/content/spain-installed-wind-capacity-website Language: English Policies: Regulations Regulations: Feed-in Tariffs This website presents an overview of total installed wind energy capacity in Spain per year from 2000 to 2010. The page also presents the main market developments from 2010; a policy summary; a discussion of the revision in feed-in tariffs in 2010; and a future market outlook. References Retrieved from "http://en.openei.org/w/index.php?title=Incorporating_Aggregated_PV_Systems_into_the_Power_Grid&oldid=514463

374

Manufacturing Plants Incorporate Energy Efficiency into Business Model |  

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

Manufacturing Plants Incorporate Energy Efficiency into Business Manufacturing Plants Incorporate Energy Efficiency into Business Model Manufacturing Plants Incorporate Energy Efficiency into Business Model April 27, 2011 - 12:15pm Addthis Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Lowell Sachs Lead Technology Partnership Specialist, Industrial Technologies Program Four Texas-based manufacturing plants are adopting robust energy efficiency standards as part of an energy management certification program led by the Department of Energy's Industrial Technologies Program. The certification program, called Superior Energy Performance, provides a

375

Incorporating Wind Generation in Cap and Trade Programs  

Wind Powering America (EERE)

Incorporating Wind Generation in Incorporating Wind Generation in Cap and Trade Programs Joel Bluestein Energy and Environmental Analysis, Inc. Elizabeth Salerno American Wind Energy Association Lori Bird and Laura Vimmerstedt National Renewable Energy Laboratory Technical Report NREL/TP-500-40006 July 2006 Incorporating Wind Generation in Cap and Trade Programs Joel Bluestein Energy and Environmental Analysis, Inc. Elizabeth Salerno American Wind Energy Association Lori Bird and Laura Vimmerstedt National Renewable Energy Laboratory Prepared under Task No. WER6 6006 Technical Report NREL/TP-500-4006 July 2006 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

376

Manufacturing Plants Incorporate Energy Efficiency into Business Model |  

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

Manufacturing Plants Incorporate Energy Efficiency into Business Manufacturing Plants Incorporate Energy Efficiency into Business Model Manufacturing Plants Incorporate Energy Efficiency into Business Model April 27, 2011 - 12:15pm Addthis Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Participants of the Superior Energy Performance certification program | Photo Courtesy of Texas Industries of the Future/Dave Bray Lowell Sachs Lead Technology Partnership Specialist, Industrial Technologies Program Four Texas-based manufacturing plants are adopting robust energy efficiency standards as part of an energy management certification program led by the Department of Energy's Industrial Technologies Program. The certification program, called Superior Energy Performance, provides a

377

STATEMENT OF CONSIDERATIONS REQUEST BY XANTREX TECHNOLOGY, INCORPORATED FOR AN  

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

XANTREX TECHNOLOGY, INCORPORATED FOR AN XANTREX TECHNOLOGY, INCORPORATED FOR AN ADVANCE WAIVER OF DOMESTIC AND FOREIGN PATENT RIGHTS UNDER DOE PRIME CONTRACT NO. DE-FC36-83CH10093 AND SUBCONTRACT NO. NREL-NDO-1-30628-02; W(A)-01-036; CH-1081 As set out in the attached waiver petition, Xantrex Technology, Incorporated (Xantrex) has requested an advance waiver of domestic and foreign patent rights for all subject inventions made by its employees under the above-identified subcontract, entitled "PV Invertor Products Manufacturing and Design Improvement for Cost Reduction and Performance Enhancement". The purpose of the subcontract encompasses the development of improved photovoltaic (PV) manufacturing processes and products while reducing costs and providing a technology foundation that supports significant manufacturing scale-up. Xantex intends to accomplish this

378

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

379

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

380

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

382

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

383

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

384

NETL: News Release - SECA Fuel Cell Program Moves Two Key Projects Into  

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

5, 2009 5, 2009 SECA Fuel Cell Program Moves Two Key Projects Into Next Phase Projects Continue Push for Low-Cost, Environmentally Friendly Coal Power Washington, DC-The U.S. Department of Energy (DOE) has selected two projects for continuation within the Department's Solid State Energy Conversion Alliance (SECA) Program research portfolio. The projects-led by FuelCell Energy, in partnership with VersaPower Systems, and Siemens Energy-have successfully demonstrated solid oxide fuel cells (SOFCs) designed for aggregation and use in coal-fueled central power generation. Further development of these low-cost, near-zero emission fuel cell systems will substantially contribute to solving the Nation's energy security, climate, and water challenges. The selections were based upon an assessment of demonstrated progress in developing high-performance, low-cost SOFC technology. FuelCell Energy is testing two ~10kilowatt SOFC stacks incorporating planar cells; each has surpassed 4,700 hours of operation to date. Similarly, Siemens is testing a ~10kilowatt SOFC stack incorporating its new higher power Delta cells, with 2,500 hours of operation to date. With the continuation, these projects will pursue cell materials and design development to further improve performance, reduce cost, and integrate the cells into larger stacks for evaluation and incorporation into larger demonstrations beginning in 2012.

385

ACARS Aerodynamic (Research Incorporated) Communication and Recording System  

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

ix ix Acrononyms and Abbreviations Acronyms and Abbreviations ACARS Aerodynamic (Research Incorporated) Communication and Recording System ACSYS Arctic Climate System Study AER Atmospheric Environmental Research, Inc. AERI Atmospheric Emitted Radiance Interferometer AFOSR Air Force Office of Scientific Research AGARD Advisory Group for Aerospace Research and Development ALFA AER Local Forecast and Assimilation (model) AMIP Atmospheric Model Intercomparison Project ARCS Atmosphere Radiation and Cloud Stations ARCSS Arctic System Science (NSF) ARCSYM Arctic Regional Climate System Model ARINC Aerodynamic Research Incorporated Communication ARM Atmospheric Radiation Measurement program AS anvil stratus ASTER Atmosphere-Surface Turbulent Exchange Research ASTEX Altantic Stratocumulus Transition EXperiment

386

"Violent Intent Modeling: Incorporating Cultural Knowledge into the Analytical Process  

SciTech Connect

While culture has a significant effect on the appropriate interpretation of textual data, the incorporation of cultural considerations into data transformations has not been systematic. Recognizing that the successful prevention of terrorist activities could hinge on the knowledge of the subcultures, Anthropologist and DHS intern Faith Nibbs has been addressing the need to incorporate cultural knowledge into the analytical process. In this Brown Bag she will present how cultural ideology is being used to understand how the rhetoric of group leaders influences the likelihood of their constituents to engage in violent or radicalized behavior, and how violent intent modeling can benefit from understanding that process.

Sanfilippo, Antonio P.; Nibbs, Faith G.

2007-08-24T23:59:59.000Z

387

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.

388

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

389

Method for incorporating radioactive phosphoric acid solutions in concrete  

DOE Patents (OSTI)

A method for incorporating radioactive phosphoric acid solutions in concrete is described wherein the phosphoric acid is reacted with Ca(OH)/sub 2/ to form a precipitate of hydroxyapatite and the hydroxyapatite is mixed with Portland cement to form concrete.

Wolf, G.A.; Smith, J.W.; Ihle, N.C.

1982-07-08T23:59:59.000Z

390

Integrated Modeling of Building Energy Requirements Incorporating Solar  

E-Print Network (OSTI)

and Renewable Energy, Distributed Energy Program of the U.S. Department of Energy under Contract No. DE-AC02 report LBNL-52753. February 2003. Site information and characteristics EIA (U.S. Energy InformationLBNL-58783 Integrated Modeling of Building Energy Requirements Incorporating Solar Assisted Cooling

391

Method for incorporating radioactive phosphoric acid solutions in concrete  

DOE Patents (OSTI)

A method for incorporating radioactive phosphoric acid solutions in concrete is described wherein the phosphoric acid is reacted with Ca(OH).sub.2 to form a precipitate of hydroxyapatite and the hydroxyapatite is mixed with portland cement to form concrete.

Wolf, Gary A. (Kennewick, WA); Smith, Jeffrey W. (Lancaster, OH); Ihle, Nathan C. (Walla Walla, WA)

1984-01-01T23:59:59.000Z

392

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

393

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

394

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

395

Incorporating Copyrighted Material into STI Products | Scientific and  

Office of Scientific and Technical Information (OSTI)

Incorporating Copyrighted Material into STI Products Incorporating Copyrighted Material into STI Products Print page Print page Email page Email page Most contractors have standard procedures that their researchers are not to include third-party copyrighted material within their STI products. If such material (e.g., a chart or illustration) is included, release should be obtained from the copyright holder. The permission should state the scope of the release or permission to reproduce, distribute, prepare derivative works, display, or perform publicly so that access and availability can be accurately provided in the Announcement Notice (AN 241.1 or AN 241.3). The STI product originator should maintain all documentation related to getting permission from the copyright owner or authorized representative at the originating site.

396

STATEMENT OF CONSIDERATIONS REQUEST BY SOLAR TURBINES INCORPORATED (SOLAR) FOR  

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

23 3 9 10:39 FRO DOE-IPC-CHICAGO TO PGCP-HQ PfGE.002 23 3 9 10:39 FRO DOE-IPC-CHICAGO TO PGCP-HQ PfGE.002 STATEMENT OF CONSIDERATIONS REQUEST BY SOLAR TURBINES INCORPORATED (SOLAR) FOR AN ADVANCE WAIVER OF DOMESTIC AND FOREIGN PATENT RIGHTS UNDER DOE CONTRACT NO: DE-AC02-92CE40960; W(A)-93-004; CH-0755 Solar Turbines Incorporated (Solar), a wholly owned subsidiary of Caterpillar Inc., has requested a waiver of domestic and foreign patent rights for all subject inventions of its employees under this contract. In response to an RFP, Solar was awarded a letter contract on September 25, 1992. It is anticipated that the letter contract will be definitized by the end of March 1993. Solar's obligation to continue performance under the contract is contingent upon DOE granting a waiver of rights to subject inventions in

397

Passive Tamper Indicating Enclosures Incorporating Embedded Optical Fibre  

Science Conference Proceedings (OSTI)

AWE and PNNL are engaged in a technical collaboration investigating techniques to enhance continuity of knowledge over Accountable Items within a verified nuclear weapons dismantlement process. Tamper Indicating Enclosures (TIE) will likely be deployed as part of a chain of custody regime to indicate an unauthorised attempt to access an Accountable Item. This paper looks at the use of passive TIEs incorporating embedded optical fibre; concepts relating to deployment, tamper indication and unique identification will be discussed.

Wynn, Paul; White, Helen; Allen, Keir; Simmons, Kevin L.; Sliva, Paul; Benz, Jacob M.; Tanner, Jennifer E.

2011-08-14T23:59:59.000Z

398

Hydrogen incorporation into III-V nitrides during processing  

DOE Green Energy (OSTI)

Hydrogen is readily incorporated into GaN and related alloys during wet and dry etching, chemical vapor deposition of dielectric overlayers, boiling in water and other process steps, in addition to its effects during MOCVD or MOMBE growth. The hydrogen is bound at defects or impurities and passivates their electrical activity. Reactivation occurs at 450-550{degrees}C, but evolution from the crystal requires much higher temperatures ({ge} 800{degrees}C).

Pearton, S.J.; Abernathy, C.R.; Vartuli, C.B. [Univ. of Florida, Gainesville, FL (United States)] [and others

1995-10-01T23:59:59.000Z

399

Algorithms for Incorporation of Dynamic Recovery in Estimating Frequency of Critical Station Blackout  

E-Print Network (OSTI)

This thesis involves exploring enhancement of estimating the probability of a critical station blackout in nuclear power plant operations by the use of direct numerical evaluation of multidimensional nonrecovery integrals. This requires development of computational methods with data provided from South Texas Project Nuclear Operating Company (STPNOC). Several methods that are currently used in the industry to estimate such probabilities often overestimate the value substantially. The computational integral method developed in the thesis will reduce excess conservatism while maintaining plant safety standards. This computational integral is calculated using a MATLAB research code referred to generally as "STP-TAMIL" which is for South Texas Project --Texas A&M Improved LOOP. The code itself (along with the user manual) was developed in conjunction with this Thesis. STP-TAMIL is successful in reducing the estimated probability of critical station blackout by a significant amount (about 88.47 percent ) with the incorporation of recovery of offsite and onsite power for South Texas Project? s nuclear plants, and results were verified. This thesis also describes an asymptotic justification for to the non-recovery integral used. Applications to the industry, or STPNOC, which will use the "TAMIL" code are addressed. Some assumptions used throughout the problem suggest that if more dynamic rates or distributions are used then more recovery can be obtained, which will decrease the probability of critical station blackout. Methodology developed in this thesis will be used in future work to develop this STP-TAMIL research code into a model used industry wide in commercial nuclear power plants.

Rodi, Paul J.

2012-05-01T23:59:59.000Z

400

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

402

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...

403

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 ...

404

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

405

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

406

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...

407

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...

408

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

409

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 ...

410

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...

411

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...

412

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...

413

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...

414

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...

415

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...

416

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...

417

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

418

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...

419

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

420

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

422

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

423

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

424

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

425

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

426

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

427

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

428

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

429

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

430

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

431

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

432

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

433

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

434

Engineering internship at Brown & Root, Incorporated: a report  

E-Print Network (OSTI)

An engineering intership at Brown & Root, Incorporated was completed over a period slightly in excess of one year. During his internship, the industrial engineer was assigned tasks related to the organization of a manufacturing department and the pursuit and completion of its projects. Many of his contributions were system-related and involved sales, engineering proposals, engineering economy, contract negotiations, employee merit evaluation, design, and general groundwork. He was also assigned to two engineering projects concerning the design and construction of manufacturing facilities. One of the project assignments required international travel to England and Nigeria, and almost all of the assignments involved some aspect of engineering management.

Gannaway, Randall Joe, 1952-

1977-12-01T23:59:59.000Z

435

Incorporation of Cu Acceptors in ZnO Nanocrystals  

Science Conference Proceedings (OSTI)

Doping of semiconductor nanocrystals is an important problem in nanomaterials research. Using infrared (IR) and x-ray photoelectron spectroscopy (XPS), we have observed Cu acceptor dopants that were intentionally introduced into ZnO nanocrystals. The incorporation of Cu2+ dopants increased as the diameter of the nanocrystals was increased from ~3 to 5 nm. Etching the nanocrystals with acetic acid revealed a core-shell structure, where a 2-nm lightly doped core is surrounded by a heavily doped shell. These observations are consistent with the trapped dopant model, in which dopant atoms stick to the surface of the core and are overgrown by the nanocrystal material.

Oo, W.M.H.; Mccluskey, Matthew D.; Huso, Jesse; Morrison, J.; Bergman, Leah; Engelhard, Mark H.; Saraf, Laxmikant V.

2010-09-16T23:59:59.000Z

436

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

437

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. . . . . . . . . . . . .

438

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

439

Yttrium Dopants in Titania: not Structurally Incorporated but Bound at  

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

Yttrium Dopants in Titania: not Structurally Yttrium Dopants in Titania: not Structurally Incorporated but Bound at Surfaces Structurally incorporated impurities have been shown to have systematic effects on the rate of the thermally driven transformation in titania nanoparticles [1-4]. The anatase-to-rutile transformation is slowed when anatase nanoparticles are doped with a cation of valence > +4, but favored when the valence < +4. Based on these observations, Y3+ dopants should promote the anatase-to-rutile transformation. However, prior studies showed that the transformation is inhibited by Y3+ impurities [1,2], without explaining this observation. In a study led by the scientists of University of California Berkeley and Lawrence Berkeley National Laboratory, extended x-ray absorption fine structure (EXAFS) experiments on yttrium-doped titania nanoparticles were conducted for determining the local structural environment of Y3+ impurities. The experiments were developed in collaboration with SSRL beamline scientists at BLs 10-2 and 11-2.

440

The effects of incorporating dynamic data on estimates of uncertainty  

E-Print Network (OSTI)

Petroleum exploration and development are capital intensive and smart economic decisions that need to be made to profitably extract oil and gas from the reservoirs. Accurate quantification of uncertainty in production forecasts will help in assessing risk and making good economic decisions. This study investigates the effect of combining dynamic data with the uncertainty in static data to see the effect on estimates of uncertainty in production forecasting. Fifty permeability realizations were generated for a reservoir in west Texas from available petrophysical data. We quantified the uncertainty in the production forecasts using a likelihood weighting method and an automatic history matching technique combined with linear uncertainty analysis. The results were compared with the uncertainty predicted using only static data. We also investigated approaches for best selecting a smaller number of models from a larger set of realizations to be history matched for quantification of uncertainty. We found that incorporating dynamic data in a reservoir model will result in lower estimates of uncertainty than considering only static data. However, incorporation of dynamic data does not guarantee that the forecasted ranges will encompass the true value. Reliability of the forecasted ranges depends on the method employed. When sampling multiple realizations of static data for history matching to quantify uncertainty, a sampling over the entire range of realization likelihoods shows larger confidence intervals and is more likely to encompass the true value for predicted fluid recoveries, as compared to selecting the best models.

Mulla, Shahebaz Hisamuddin

2003-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "key assumption incorporated" 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

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.

442

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

443

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

444

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

445

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%

446

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

447

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

448

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

449

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

450

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

451

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

452

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:...

453

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...

454

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

455

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...

456

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

457

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

458

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...

459

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

460

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

Open Energy Info (EERE)

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

462

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

463

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

464

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"}

465

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

466

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

467

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

468

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

469

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

470

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

471

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

472

Stochastic modelling of landfill leachate and biogas production incorporating waste heterogeneity. Model formulation and uncertainty analysis  

Science Conference Proceedings (OSTI)

A mathematical model simulating the hydrological and biochemical processes occurring in landfilled waste is presented and demonstrated. The model combines biochemical and hydrological models into an integrated representation of the landfill environment. Waste decomposition is modelled using traditional biochemical waste decomposition pathways combined with a simplified methodology for representing the rate of decomposition. Water flow through the waste is represented using a statistical velocity model capable of representing the effects of waste heterogeneity on leachate flow through the waste. Given the limitations in data capture from landfill sites, significant emphasis is placed on improving parameter identification and reducing parameter requirements. A sensitivity analysis is performed, highlighting the model's response to changes in input variables. A model test run is also presented, demonstrating the model capabilities. A parameter perturbation model sensitivity analysis was also performed. This has been able to show that although the model is sensitive to certain key parameters, its overall intuitive response provides a good basis for making reasonable predictions of the future state of the landfill system. Finally, due to the high uncertainty associated with landfill data, a tool for handling input data uncertainty is incorporated in the model's structure. It is concluded that the model can be used as a reasonable tool for modelling landfill processes and that further work should be undertaken to assess the model's performance.

Zacharof, A.I.; Butler, A.P

2004-07-01T23:59:59.000Z

473

Net Metering and Interconnection Procedures-- Incorporating Best Practices  

SciTech Connect

State utility commissions and utilities themselves are actively developing and revising their procedures for the interconnection and net metering of distributed generation. However, the procedures most often used by regulators and utilities as models have not been updated in the past three years, in which time most of the distributed solar facilities in the United States have been installed. In that period, the Interstate Renewable Energy Council (IREC) has been a participant in more than thirty state utility commission rulemakings regarding interconnection and net metering of distributed generation. With the knowledge gained from this experience, IREC has updated its model procedures to incorporate current best practices. This paper presents the most significant changes made to IREC???¢????????s model interconnection and net metering procedures.

Jason Keyes, Kevin Fox, Joseph Wiedman, Staff at North Carolina Solar Center

2009-04-01T23:59:59.000Z

474

Reliability assessment of autonomous power systems incorporating HVDC interconnection links  

SciTech Connect

The objective of this paper is to present an improved computational method for the overall reliability assessment of autonomous power systems that may or may not contain HVdc interconnection links. This is a hybrid method based on a Monte-Carlo simulation sequential approach which incorporates an analytical approach for the reliability modeling of the HVdc transmission links. The developed models and techniques have been implemented into a computer program that can be used to simulate the operational practices and characteristics of the overall system under study efficiently and realistically. A set of reliability indices are calculated for each load-point of interest and the entire system while a set of additional indices is calculated for quantifying the reliability performance of the interconnection links under the specified operating requirements. The analysis of a practical system is also included for a number of studies representing its various operating and design characteristics.

Dialynas, E.N.; Koskolos, N.C. [National Technical Univ., Athens (Greece). Dept. of Electrical and Computer Engineering; Agoris, D. [Public Power Corp., Athens (Greece)

1996-01-01T23:59:59.000Z

475

Incorporating uncertainty in RADTRAN 6.0 input files.  

SciTech Connect

Uncertainty may be introduced into RADTRAN analyses by distributing input parameters. The MELCOR Uncertainty Engine (Gauntt and Erickson, 2004) has been adapted for use in RADTRAN to determine the parameter shape and minimum and maximum of the distribution, to sample on the distribution, and to create an appropriate RADTRAN batch file. Coupling input parameters is not possible in this initial application. It is recommended that the analyst be very familiar with RADTRAN and able to edit or create a RADTRAN input file using a text editor before implementing the RADTRAN Uncertainty Analysis Module. Installation of the MELCOR Uncertainty Engine is required for incorporation of uncertainty into RADTRAN. Gauntt and Erickson (2004) provides installation instructions as well as a description and user guide for the uncertainty engine.

Dennis, Matthew L.; Weiner, Ruth F.; Heames, Terence John (Alion Science and Technology)

2010-02-01T23:59:59.000Z

476

Incorporating Non-energy Benefits into Energy Savings Performance Contracts  

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

Non-energy Benefits into Energy Savings Performance Contracts Non-energy Benefits into Energy Savings Performance Contracts Title Incorporating Non-energy Benefits into Energy Savings Performance Contracts Publication Type Conference Paper Year of Publication 2012 Authors Larsen, Peter H., Charles A. Goldman, Donald Gilligan, and Terry E. Singer Conference Name 2012 ACEEE Summer Study on Energy Efficiency in Buildings Date Published 2012 Publisher ACEEE Conference Location Asilomar Conference Center, Pacific Grove, California Abstract This paper evaluates the issue of non-energy benefits within the context of the U.S. energy services company (ESCO) industry-a growing industry comprised of companies that provide energy savings and other benefits to customers through the use of performance-based contracting. Recent analysis has found that ESCO projects in the public/institutional sector, especially at K-12 schools, are using performance-based contracting, at the behest of the customers, to partially -- but not fully -- offset substantial accumulated deferred maintenance needs (e.g., asbestos removal, wiring) and measures that have very long paybacks (roof replacement). This trend is affecting the traditional economic measures policymakers use to evaluate success on a benefit to cost basis. Moreover, the value of non-energy benefits which can offset some or all of the cost of the non-energy measures -- including operations and maintenance (O&M) savings, avoided capital costs, and tradable pollution emissions allowances -- are not always incorporated into a formal cost-effectiveness analysis of ESCO projects. Non- energy benefits are clearly important to customers, but state and federal laws that govern the acceptance of these types of benefits for ESCO projects vary widely (i.e., 0-100% of allowable savings can come from one or more non-energy categories). Clear and consistent guidance on what types of savings are recognized in Energy Savings Agreements under performance contracts is necessary, particularly where customers are searching for deep energy efficiency gains in the building sector.

477

Key figure impact in trust-enhanced recommender systems  

Science Conference Proceedings (OSTI)

Collaborative filtering recommender systems are typically unable to generate adequate recommendations for newcomers. Empirical evidence suggests that the incorporation of a trust network among the users of a recommender system can significantly help ... Keywords: Trust network, cold start problem, recommender system, social network analysis

Patricia Victor; Chris Cornelis; Martine De Cock; Ankur M. Teredesai

2008-04-01T23:59:59.000Z

478

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

479

Assumptions and Criteria for Performing a Feasability Study of the Conversion of the High Flux Isotope Reactor Core to Use Low-Enriched Uranium Fuel  

SciTech Connect

A computational study will be initiated during fiscal year 2006 to examine the feasibility of converting the High Flux Isotope Reactor from highly enriched uranium fuel to low-enriched uranium. The study will be limited to steady-state, nominal operation, reactor physics and thermal-hydraulic analyses of a uranium-molybdenum alloy that would be substituted for the current fuel powder--U{sub 3}O{sub 8} mixed with aluminum. The purposes of this document are to (1) define the scope of studies to be conducted, (2) define the methodologies to be used to conduct the studies, (3) define the assumptions that serve as input to the methodologies, (4) provide an efficient means for communication with the Department of Energy and American research reactor operators, and (5) expedite review and commentary by those parties.

Primm, R.T., III; Ellis, R.J.; Gehin, J.C.; Moses, D.L.; Binder, J.L.; Xoubi, N. (U. of Cincinnati)

2006-02-01T23:59:59.000Z

480

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

Note: This page contains sample records for the topic "key assumption incorporated" 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

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

482

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

483

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

484

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

485

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

486

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

487

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

488

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.

489

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

490

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

491

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