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1

Key Assumptions Policy Issues  

E-Print Network [OSTI]

11/13/2014 1 Key Assumptions and Policy Issues RAAC Steering Committee November 17, 2014 Portland Supply Limitations 8 Withi h B l i8. Within-hour Balancing 9. Capacity and Energy Values for Wind/Solar t b it d d li d· Thermal: must be sited and licensed · Wind/solar: must be sited and licensed · EE

2

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

SciTech Connect (OSTI)

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

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

4

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

5

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.

6

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

7

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

8

Section 25: Future State Assumptions  

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

the Compliance Certification Application (CCA), Chapter 6.0, Section 6.2 and Appendices SCR and MASS (U.S. DOE 1996). Many of these future state assumptions were derived from the...

9

MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT  

SciTech Connect (OSTI)

The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

R.E. Sweeney

2001-02-08T23:59:59.000Z

10

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.

11

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect (OSTI)

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

12

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.

13

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.

14

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

15

ICM, Incorporated  

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

ICM, Incorporated Corporate Headquarters: Colwich, KS Proposed Facility Location: St. Joseph, MO Description: ICM will construct and operate a pilot integrated biorefinery using a...

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

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

19

ICM, Incorporated  

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

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

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

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

23

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

24

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

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

25

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

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

Climate Action Planning Tool Formulas and Assumptions  

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

28

Assumptions to the Annual Energy Outlook 2002 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

29

Assumptions to the Annual Energy Outlook 2001 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

30

Assumptions to the Annual Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

for EIA (SENTECH Incorporated, 2010). Wind: The Cost and Performance of Distributed Wind Turbines, 2010-35 (ICF International, 2010). 31 U.S. Energy Information Administration |...

31

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.

32

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.

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

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

35

EIA - Assumptions to the Annual Energy Outlook 2010 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

36

EIA - Assumptions to the Annual Energy Outlook 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.

37

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.

38

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

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

39

Assumptions to the Annual Energy Outlook 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

40

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

Preliminary Assumptions for Natural Gas Peaking Technologies Gillian Charles and Steve Simmons GRAC, Reciprocating Engines Next steps 2 #12;Definitions Baseload Energy: power generated (or conserved) across a period of time to serve system demands for electricity Peaking Capacity: capability of power generating

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

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

Preliminary Assumptions for Natural Gas Peaking Technologies Gillian Charles GRAC 2/27/14 #12;Today Vernon, WA PSE Klamath Generation Peakers June 2002 (2) 54 MW P&W FT8 Twin- pac 95 MW Klamath, OR IPP; winter-only PPA w/ PSE Dave Gates Generating Station Jan 2011 (3) P&W SWIFTPAC 150 MW Anaconda, MT North

42

Empirically Revisiting the Test Independence Assumption  

E-Print Network [OSTI]

Empirically Revisiting the Test Independence Assumption Sai Zhang, Darioush Jalali, Jochen Wuttke}@cs.washington.edu ABSTRACT In a test suite, all the test cases should be independent: no test should affect any other test's result, and running the tests in any order should produce the same test results. Techniques such as test

Ernst, Michael

43

A new scenario framework for climate change research: The concept of Shared Climate Policy Assumptions  

SciTech Connect (OSTI)

The paper presents the concept of shared climate policy assumptions as an important element of the new scenario framework. Shared climate policy assumptions capture key climate policy dimensions such as the type and scale of mitigation and adaptation measures. They are not specified in the socio-economic reference pathways, and therefore introduce an important third dimension to the scenario matrix architecture. Climate policy assumptions will have to be made in any climate policy scenario, and can have a significant impact on the scenario description. We conclude that a meaningful set of shared climate policy assumptions is useful for grouping individual climate policy analyses and facilitating their comparison. Shared climate policy assumptions should be designed to be policy relevant, and as a set to be broad enough to allow a comprehensive exploration of the climate change scenario space.

Kriegler, Elmar; Edmonds, James A.; Hallegatte, Stephane; Ebi, Kristie L.; Kram, Tom; Riahi, Keywan; Winkler, Harald; Van Vuuren, Detlef

2014-04-01T23:59:59.000Z

44

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

45

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

46

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).

47

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

48

Assumptions to the Annual Energy Outlook - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

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

49

EIA-Assumptions to the Annual Energy Outlook - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

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

50

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

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

51

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

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

52

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

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

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Assumptions to the Annual Energy Outlook 1999 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

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

54

Assumptions to the Annual Energy Outlook 2001 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

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

55

EIA - Assumptions to the Annual Energy Outlook 2008 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

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

56

Assumptions to the Annual Energy Outlook 2001 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

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

57

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

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

58

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

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

59

Assumptions to the Annual Energy Outlook 2002 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

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

60

Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012  

Broader source: Energy.gov [DOE]

Definitions of parameters and table of assumptions for the Manufacturing Energy and Carbon Footprint

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
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61

Key Outcomes:  

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

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

62

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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...

63

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

64

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

65

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

66

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.

67

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

68

2010 Manufacturing Energy and Carbon Footprints: Definitions and Assumptions  

Broader source: Energy.gov [DOE]

This 13-page document provides definitions and assumptions used in the Manufacturing Energy and Carbon Footprints (MECS 2010)

69

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

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

70

Assumptions to the Annual Energy Outlook 2000 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

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

71

Assumptions to the Annual Energy Outlook 2000 - Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

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

72

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

Gasoline and Diesel Fuel Update (EIA)

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

73

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.

74

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

75

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.

76

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.

77

BIODIVERSITY Incorporating sociocultural adaptive  

E-Print Network [OSTI]

BIODIVERSITY VIEWPOINT Incorporating sociocultural adaptive capacity in conservation hotspot of biodiversity threats. Conservation biogeography (Whittaker et al., 2005) has emerged as a critical area biodiversity (Mawdsley et al., 2009). Adjusting conservation strategies to maintain diversity in recognition

78

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

79

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

80

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.

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

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

82

COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1  

E-Print Network [OSTI]

1 COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1 Matthew Berman In a recent analysis comparing the current oil production tax, More Alaska Production Act (MAPA, also known as SB 21 oil prices, production rates, and costs. He noted that comparative revenues are highly sensitive

Pantaleone, Jim

83

Reasoning by Assumption: Formalisation and Analysis of Human Reasoning Traces  

E-Print Network [OSTI]

for the traces acquired in experiments undertaken. 1 Introduction Practical reasoning processes are often not limited to single reasoning steps, but extend to traces or trajectories of a number of interrelated by assumption'. This (non-deductive) practical reasoning pattern in- volves a number of interrelated reasoning

Treur, Jan

84

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.

85

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":""}]}

86

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

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

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.

87

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

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

88

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

89

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

90

Public Key Cryptography and Key Management  

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

The use and management of certificate-based public key cryptography for the Department of Energy (DOE) requires the establishment of a public key infrastructure (PKI). This chapter defines the policy related to roles, requirements, and responsibilities for establishing and maintaining a DOE PKI and the documentation necessary to ensure that all certificates are managed in a manner that maintains the overall trust required to support a viable PKI. Canceled by DOE N 251.112.

2000-02-15T23:59:59.000Z

91

Developing a decision model to describe levels of self-directedness based upon the key assumptions of andragogy  

E-Print Network [OSTI]

-directed learning readiness level of students enrolled in the course. A report will be generated to show matches and mismatches between the instructor??s teaching style and the self-directed learning readiness level of the students. A decision model...

Richards, Lance Jonathan

2005-11-01T23:59:59.000Z

92

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

93

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

94

Diversion assumptions for high-powered research reactors  

SciTech Connect (OSTI)

This study deals with diversion assumptions for high-powered research reactors -- specifically, MTR fuel; pool- or tank-type research reactors with light-water moderator; and water, beryllium, or graphite reflectors, and which have a power level of 25 MW(t) or more. The objective is to provide assistance to the IAEA in documentation of criteria and inspection observables related to undeclared plutonium production in the reactors described above, including: criteria for undeclared plutonium production, necessary design information for implementation of these criteria, verification guidelines including neutron physics and heat transfer, and safeguards measures to facilitate the detection of undeclared plutonium production at large research reactors.

Binford, F.T.

1984-01-01T23:59:59.000Z

95

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.

96

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.

97

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.

98

The contour method cutting assumption: error minimization and correction  

SciTech Connect (OSTI)

The recently developed contour method can measure 2-D, cross-sectional residual-stress map. A part is cut in two using a precise and low-stress cutting technique such as electric discharge machining. The contours of the new surfaces created by the cut, which will not be flat if residual stresses are relaxed by the cutting, are then measured and used to calculate the original residual stresses. The precise nature of the assumption about the cut is presented theoretically and is evaluated experimentally. Simply assuming a flat cut is overly restrictive and misleading. The critical assumption is that the width of the cut, when measured in the original, undeformed configuration of the body is constant. Stresses at the cut tip during cutting cause the material to deform, which causes errors. The effect of such cutting errors on the measured stresses is presented. The important parameters are quantified. Experimental procedures for minimizing these errors are presented. An iterative finite element procedure to correct for the errors is also presented. The correction procedure is demonstrated on experimental data from a steel beam that was plastically bent to put in a known profile of residual stresses.

Prime, Michael B [Los Alamos National Laboratory; Kastengren, Alan L [ANL

2010-01-01T23:59:59.000Z

99

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).

100

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.

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

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).

102

LEHR Incorporated | Open Energy Information  

Open Energy Info (EERE)

of environmentally friendly technology and finding green energy solutions for retail and commercial products. References: LEHR Incorporated1 This article is a stub. You...

103

Preliminary Notice of Violation, Fluor Hanford, Incorporated...  

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

Hanford, Incorporated - EA-2002-03 Preliminary Notice of Violation, Fluor Hanford, Incorporated - EA-2002-03 August 12, 2002 Issued to Fluor Hanford, Incorporated, related to...

104

Preliminary Notice of Violation, Fluor Hanford Incorporated ...  

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

Hanford Incorporated - EA-2005-07 Preliminary Notice of Violation, Fluor Hanford Incorporated - EA-2005-07 December 16, 2005 Issued to Fluor Hanford, Incorporated, related to...

105

Development of a Public Key Infrastructure across Multiple Enterprises  

Science Journals Connector (OSTI)

Main-stream applications are beginning to incorporate public key cryptography. It can be difficult to deploy this technology without a robust infrastructure to support it. It can also be difficult to deploy a public key infra-structure among multiple ...

B. J. Desind; T. M. Sharick; J. P. Long; B. J. Wood

1997-06-01T23:59:59.000Z

106

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

107

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

108

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

109

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.

110

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.

111

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

112

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).

113

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.

114

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.

115

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.

116

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

117

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

118

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

119

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.

120

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

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 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,

122

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

123

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

124

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

125

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

126

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)

127

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

128

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.

129

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

130

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.

131

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].

132

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

133

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

134

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),

135

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

136

Program Sustainability: Incorporating Energy Efficiency into...  

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

Program Sustainability: Incorporating Energy Efficiency into Disaster Recovery Efforts Peer Exchange Call Program Sustainability: Incorporating Energy Efficiency into Disaster...

137

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.

138

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.

139

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.

140

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

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

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.

142

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.

143

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

144

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

SciTech Connect (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

145

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

146

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).

147

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

148

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).

149

ARM - Key Science Questions  

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

150

On the self-similarity assumption in dynamic models for large eddy simulations  

E-Print Network [OSTI]

that the present formulation of the DP is usually incompatible with its under- lying self-similarity assumption SSAOn the self-similarity assumption in dynamic models for large eddy simulations Daniele Carati eddy simulations and their underlying self-similarity assumption is discussed. The interpretation

Van Den Eijnden, Eric

151

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":""}]}

152

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":""}]}

153

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":""}]}

154

Cryptographic Key Management System  

SciTech Connect (OSTI)

This report summarizes the outcome of U.S. Department of Energy (DOE) contract DE-OE0000543, requesting the design of a Cryptographic Key Management System (CKMS) for the secure management of cryptographic keys for the energy sector infrastructure. Prime contractor Sypris Electronics, in collaboration with Oak Ridge National Laboratories (ORNL), Electric Power Research Institute (EPRI), Valicore Technologies, and Purdue University's Center for Education and Research in Information Assurance and Security (CERIAS) and Smart Meter Integration Laboratory (SMIL), has designed, developed and evaluated the CKMS solution. We provide an overview of the project in Section 3, review the core contributions of all contractors in Section 4, and discuss bene#12;ts to the DOE in Section 5. In Section 6 we describe the technical construction of the CKMS solution, and review its key contributions in Section 6.9. Section 7 describes the evaluation and demonstration of the CKMS solution in different environments. We summarize the key project objectives in Section 8, list publications resulting from the project in Section 9, and conclude with a discussion on commercialization in Section 10 and future work in Section 11.

No, author

2014-02-21T23:59:59.000Z

155

PEM Electrolyzer Incorporating an Advanced  

E-Print Network [OSTI]

PEM Electrolyzer Incorporating an Advanced Low Cost Membrane Monjid Hamdan Giner Electrochemical (Academic)­ Membrane Development Collaborations 3M Fuel Cell Components Program­ NSTF Catalyst & Membrane Entegris ­ Carbon Cell Separators Tokuyama ­ Low-Cost Membrane Prof. R. Zalosh (WPI) ­ Hydrogen Safety

156

Incorporating LCA tools in integrated simulation environments  

E-Print Network [OSTI]

and Meil, J. K. , "ATHENA: An LCA Decision Support Tool -in the Proceedings. INCORPORATING LCA TOOLS IN INTEGRATEDof Energy. INCORPORATING LCA TOOLS IN INTEGRATED SIMULATION

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

2001-01-01T23:59:59.000Z

157

AP Key Accomplishments  

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

158

Key Activities | Department of Energy  

Energy Savers [EERE]

in several key areas to advance the development and commercialization of hydrogen and fuel cell technologies. Research, Development, and Demonstration Key areas of research,...

159

A DISTRIBUTED SHARED KEY GENERATION PROCEDURE USING FRACTIONAL KEYS  

E-Print Network [OSTI]

A DISTRIBUTED SHARED KEY GENERATION PROCEDURE USING FRACTIONAL KEYS R. Poovendran, M. S. Corson, J}@isr.umd.edu ABSTRACT W e present a new class of distributed key generation and recovery algorithms suitable for group) with a Group Con- troller (GC) which can generate and distribute the keys. However, in these approaches

Baras, John S.

160

Key recycling in authentication  

E-Print Network [OSTI]

In their seminal work on authentication, Wegman and Carter propose that to authenticate multiple messages, it is sufficient to reuse the same hash function as long as each tag is encrypted with a one-time pad. They argue that because the one-time pad is perfectly hiding, the hash function used remains completely unknown to the adversary. Since their proof is not composable, we revisit it using a composable security framework. It turns out that the above argument is insufficient: if the adversary learns whether a corrupted message was accepted or rejected, information about the hash function is leaked, and after a bounded finite amount of rounds it is completely known. We show however that this leak is very small: Wegman and Carter's protocol is still $\\epsilon$-secure, if $\\epsilon$-almost strongly universal$_2$ hash functions are used. This implies that the secret key corresponding to the choice of hash function can be reused in the next round of authentication without any additional error than this $\\epsilon$. We also show that if the players have a mild form of synchronization, namely that the receiver knows when a message should be received, the key can be recycled for any arbitrary task, not only new rounds of authentication.

Christopher Portmann

2012-02-06T23:59:59.000Z

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.


161

Development of a public key infrastructure across multiple enterprises  

SciTech Connect (OSTI)

Main-stream applications are beginning to incorporate public key cryptography. It can be difficult to deploy this technology without a robust infrastructure to support it. It can also be difficult to deploy a public key infrastructure among multiple enterprises when different applications and standards must be supported. This discussion chronicles the efforts by a team within the US Department of Energy`s Nuclear Weapons Complex to build a public key infrastructure and deploy applications that use it. The emphasis of this talk will be on the lessons learned during this effort and an assessment of the overall impact of this technology.

Sharick, T.M.; Long, J.P.; Desind, B.J. [and others

1997-05-01T23:59:59.000Z

162

OIKOS 101: 499504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS  

E-Print Network [OSTI]

OIKOS 101: 499­504, 2003 Do seedlings in gaps interact? A field test of assumptions in ESS seed seedlings in gaps interact? A field test of assumptions in ESS seed size models. ­ Oikos 101: 499­504. ESS for the occupancy of `safe sites' or vegetation gaps. If mortality rates are high and/or frequency-independent, ESS

Silvertown, Jonathan

163

Granular Matter 4(3) (2002) How good is the equipartition assumption for the transport  

E-Print Network [OSTI]

Granular Matter 4(3) (2002) How good is the equipartition assumption for the transport properties of a granular mixture? Meheboob Alam (1) , Stefan Luding (1;2) ? Abstract Kinetic-theory, with the assumption of equipar- tition of granular energy, suggests that the pressure and viscosity of a granular mixture vary

Luding, Stefan

164

Impact of assumption of log-normal distribution on monthly rainfall estimation from TMI  

E-Print Network [OSTI]

The log-normal assumption for the distribution of the rain rates used for the estimation of monthly rain totals proposed in Wilheit et al 1991 was examined. Since the log-normal assumption was originally used for the SSM/I, it is now necessary to re...

Lee, Dong Heon

2012-06-07T23:59:59.000Z

165

Moldy Assumptions  

E-Print Network [OSTI]

sustainability movements. 2 Despite these noble intentions, using human responsibility as a base for architecture

Heully, Gustave Paul

2012-01-01T23:59:59.000Z

166

CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions  

E-Print Network [OSTI]

Building Maintenance and Repair Cost Reference. WhitestoneJ. Wallis and H. Lin. 2008. CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. Center for

Webster, Tom; Benedek, Corinne; Bauman, Fred

2008-01-01T23:59:59.000Z

167

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

Science Journals Connector (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

168

Behavioral Assumptions Underlying California Residential Sector Energy Efficiency Programs (2009 CIEE Report)  

Broader source: Energy.gov [DOE]

This paper examines the behavioral assumptions that underlie Californias residential sector energy efficiency programs and recommends improvements that will help to advance the states ambitious greenhouse gas reduction goals.

169

Length measurement of a moving rod by a single observer without assumptions concerning its magnitude  

E-Print Network [OSTI]

We extend the results presented by Weinstein concerning the measurement of the length of a moving rod by a single observer, without making assumptions concerning the distance between the moving rod and the observer who measures its length.

Bernhard Rothenstein; Ioan Damian

2005-07-03T23:59:59.000Z

170

Assumptions about the U.S., the EU, NATO, and their Impact on the Transatlantic Agenda  

Science Journals Connector (OSTI)

I propose in this paper to discuss, from an American perspective, the assumptions and assertions that influence the way that I look at foreign policy events at the end of this decade. I will conclude with a fe...

Stanley Sloan

2000-01-01T23:59:59.000Z

171

Incorporating Biodiversity Considerations Into Environmental Impact  

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

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

172

EPA - Guidance for Incorporating Environmental Justice Concerns...  

Open Energy Info (EERE)

search OpenEI Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: EPA - Guidance for Incorporating Environmental Justice Concerns in EPA's NEPA...

173

Incorporating Biodiversity Considerations Into Environmental Impact  

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

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

174

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

175

Incorporating Ethics into K-12 STEM Education  

E-Print Network [OSTI]

Incorporating Ethics into K-12 STEM Education: An Introduction Richard A. Burgess, M.A. Texas Tech T-STEM Center and Deputy Director, National Institute for Engineering Ethics Summer 2012 #12 for Engineering Ethics (NIEE) to incorporate Ethics into all STEM education and outreach efforts. · In this module

Gelfond, Michael

176

Development of Microfluidic Devices Incorporating Electrochemical Detection  

E-Print Network [OSTI]

Development of Microfluidic Devices Incorporating Electrochemical Detection Anne Regel Submitted to the Department of Chemistry and the Graduate School of the University of Kansas in partial fulfillment of the requirements for the degree... _______________________________ Karen Nordheden Dissertation Defense: August 21, 2013 ii The Dissertation Committee for Anne Regel certifies that this is the approved version of the following dissertation: Development of Microfluidic Devices Incorporating...

Regel, Anne

2014-05-31T23:59:59.000Z

177

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

SciTech Connect (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

178

Key Activities | Department of Energy  

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

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,

179

Campus Recreation at Sonoma State University RELEASE OF LIABILITY -PROMISE NOT TO SUE ASSUMPTION OF  

E-Print Network [OSTI]

Campus Recreation at Sonoma State University RELEASE OF LIABILITY - PROMISE NOT TO SUE ASSUMPTION OF RISK - AGREEMENT TO PAY CLAIMS PERMISSION TO USE VISUAL LIKENESS Activities: a) USE OF SSU RECREATION RECREATION PROGRAMS. Effective Locations and Time Periods: a) RECREATION CENTER: DURING HOURS OF OPERATION

Ravikumar, B.

180

Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric IRT  

E-Print Network [OSTI]

Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric IRT Brian of the monotonicity conditions discussed in Section 4. #12;Abstract In recent years, as cognitive theories of learning" on student achievement relative to theory-driven lists of examinee skills, beliefs and other cognitive

Junker, Brian

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

Draft -F. Nicoud 1 About the zero Mach number assumption in  

E-Print Network [OSTI]

Draft - F. Nicoud 1 About the zero Mach number assumption in the calculation of thermoacoustic as the the flame forcing ('Rayleigh') term. Besides, the net effect of the non zero Mach number terms the frequency of oscillation and growth rate are modified when the Mach number is not zero. It is demonstrated

Nicoud, Franck

182

Models of transcription factor binding: Sensitivity of activation functions to model assumptions  

E-Print Network [OSTI]

on statistical physics, a Markov-chain model and a computational simulation. Comparison of these models suggests for cooperativity. The simulation model suggests that direct interactions between TFs are unlikely to be the main in this contribution, the assumption of the cell being a well stirred reactor makes a qualitative difference

Kent, University of

183

Comments of Qualcomm Incorporated | Department of Energy  

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

184

A Key Enzyme to the Potency of an Anticancer Agent  

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

185

Quantum hacking of a continuous-variable quantum-key-distribution system using a wavelength attack  

Science Journals Connector (OSTI)

The security proofs of continuous-variable quantum key distribution are based on the assumptions that the eavesdropper can neither act on the local oscillator nor control Bob's beam splitter. These assumptions may be invalid in practice due to potential imperfections in the implementations of such protocols. In this paper, we consider the problem of transmitting the local oscillator in a public channel and propose a wavelength attack which allows the eavesdropper to control the intensity transmission of Bob's beam splitter by switching the wavelength of the input light. Specifically we target continuous-variable quantum key distribution systems that use the heterodyne detection protocol using either direct or reverse reconciliation. Our attack is proved to be feasible and renders all of the final keys shared between the legitimate parties insecure, even if they have monitored the intensity of the local oscillator. To prevent our attack on commercial systems, a simple wavelength filter should be randomly added before performing monitoring detection.

Jing-Zheng Huang; Christian Weedbrook; Zhen-Qiang Yin; Shuang Wang; Hong-Wei Li; Wei Chen; Guang-Can Guo; Zheng-Fu Han

2013-06-24T23:59:59.000Z

186

Quantum Hacking on Continuous-Variable Quantum Key Distribution System using a Wavelength Attack  

E-Print Network [OSTI]

The security proofs of continuous-variable quantum key distribution are based on the assumptions that the eavesdropper can neither act on the local oscillator nor control Bob's beam splitter. These assumptions may be invalid in practice due to potential imperfections in the implementations of such protocols. In this paper, we consider the problem of transmitting the local oscillator in a public channel and propose a wavelength attack which can allow the eavesdropper to control the intensity transmission of Bob's beam splitter by switching the wavelength of the input light. Specifically we target continuous-variable quantum key distribution systems that use the heterodyne detection protocol using either direct or reverse reconciliation. Our attack is proved to be feasible and renders all of the final key shared between the legitimate parties insecure, even if they have monitored the intensity of the local oscillator. To prevent our attack on commercial systems, a simple wavelength filter should be added before performing the monitoring detection.

Jing-Zheng Huang; Christian Weedbrook; Zhen-Qiang Yin; Shuang Wang; Hong-Wei Li; Wei Chen; Guang-Can Guo; Zheng-Fu Han

2013-02-01T23:59:59.000Z

187

Incorporating traffic patterns to improve delivery performance  

E-Print Network [OSTI]

Traffic, construction and other road hazards impact the on-time performance of companies that operate delivery fleets. This study examines how incorporating traffic patterns in vehicle route development compares with ...

Dickinson, Melody J

2010-01-01T23:59:59.000Z

188

EPAct Transportation Regulatory Activities: Key Terms  

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

189

EPAct Transportation Regulatory Activities: Key Federal Statutes  

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

190

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

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

191

Geotechnical characterization of calcareous sediments from the Dry Tortugas Keys and Marquesas Keys CBBL SRP study sites, Lower Florida Keys  

Science Journals Connector (OSTI)

Geotechnical characteristics of carbonate sediments from two test sites (Dry Tortugas Keys and Marquesas Keys) in the Lower Florida Keys were investigated as part of the Coastal Benthic Boundary Layer Special...

G. Veyera; H. Brandes; A. Silva

2001-11-01T23:59:59.000Z

192

Monroe County Extension Services Key West Office  

E-Print Network [OSTI]

Energy Services: 305-295-1010 Florida Keys Electric Co-op: 305-852-2431 Monroe County Roads & Bridges-292-4501 http://monroe.ifas.ufl.edu Key Largo Office: 102050 Overseas Highway, Room 244 City and County Tree Lower Keys: 305-797-4929 Upper Keys: 305-852-7161 Contact local tree services throughout the Keys

Jawitz, James W.

193

Key-Insulated Symmetric Key Cryptography and Mitigating Attacks against Cryptographic Cloud Software  

E-Print Network [OSTI]

Key-Insulated Symmetric Key Cryptography and Mitigating Attacks against Cryptographic Cloud- sociated cryptographic keys in their entirety. In this paper, we investigate key-insulated symmetric key. To illustrate the feasibility of key-insulated symmetric key cryptography, we also report a proof

Dodis, Yevgeniy

194

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":""}]}

195

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

196

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":""}]}

197

Cognitive Social Simulation Incorporating Cognitive Architectures  

E-Print Network [OSTI]

Cognitive Social Simulation Incorporating Cognitive Architectures Ron Sun June 15, 2007 Abstract computing, can benefit from incorporat- ing cognitive architectures, as they provide a realistic basis is a domain-generic computational cognitive model that may be used for a broad multiple-domain analysis

Varela, Carlos

198

PROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE  

E-Print Network [OSTI]

] project scheduling inevitably involves uncertainty. The basic inputs (i.e., time, cost, and resourcesPROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE UNCERTAINTY USINC BAYESIAN NETWORKS VAHID, there is a causal relationship between these uncertainty sources and project parameters; this causality

Neil, Martin

199

Logical Systems Incorporated The Help Systems  

E-Print Network [OSTI]

Logical Systems Incorporated The Help Systems T A B L E O F C O N T E N T S Introduction ..................................... page 2 HELP/CMD ..................................... page 3 HELPRESx ................................... page 17 #12;LDOS Help System Page 1 The LDOS HELP Systems Introduction This documentation covers all

Mann, Tim

200

Incorporating linguistic structure into statistical language models  

Science Journals Connector (OSTI)

...distribution has been eliminated. The process can now be repeated by generating a corpus...conventional linguistic boundaries. z A process of iteratively incorporating the most...recognition. Speech communication papers, 97th Mtg of the Acoustic Society of America (ed...

2000-01-01T23:59:59.000Z

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.


201

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

202

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

SciTech Connect (OSTI)

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

203

Diversion assumptions for high-powered research reactors. ISPO C-50 Phase 1  

SciTech Connect (OSTI)

This study deals with diversion assumptions for high-powered research reactors -- specifically, MTR fuel; pool- or tank-type research reactors with light-water moderator; and water, beryllium, or graphite reflectors, and which have a power level of 25 MW(t) or more. The objective is to provide assistance to the IAEA in documentation of criteria and inspection observables related to undeclared plutonium production in the reactors described above, including: criteria for undeclared plutonium production, necessary design information for implementation of these criteria, verification guidelines including neutron physics and heat transfer, and safeguards measures to facilitate the detection of undeclared plutonium production at large research reactors.

Binford, F.T.

1984-01-01T23:59:59.000Z

204

Vehicle Technologies Office: Key Activities in Vehicles  

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

205

Fuel Cell Technologies Office: Key Activities  

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

206

Alternative Fuels Data Center: Blue Ridge Parkway Incorporates...  

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

Incorporates Alternative Fuels in Its Fleet to someone by E-mail Share Alternative Fuels Data Center: Blue Ridge Parkway Incorporates Alternative Fuels in Its Fleet on Facebook...

207

BIG SUN Energy Technology Incorporation | Open Energy Information  

Open Energy Info (EERE)

BIG SUN Energy Technology Incorporation Jump to: navigation, search Name: BIG SUN Energy Technology Incorporation Place: Taiwan Zip: 303 Sector: Solar Product: Taiwan-based solar...

208

Direct Measurement of Oxygen Incorporation into Thin Film Oxides...  

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

Measurement of Oxygen Incorporation into Thin Film Oxides at Room Temperature Upon Ultraviolet Phton Irradiation. Direct Measurement of Oxygen Incorporation into Thin Film Oxides...

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

Public/private key certification authority and key distribution. Draft  

SciTech Connect (OSTI)

Traditional encryption, which protects messages from prying eyes, has been used for many decades. The present concepts of encryption are built from that heritage. Utilization of modern software-based encryption techniques implies much more than simply converting files to an unreadable form. Ubiquitous use of computers and advances in encryption technology coupled with the use of wide-area networking completely changed the reasons for utilizing encryption technology. The technology demands a new and extensive infrastructure to support these functions. Full understanding of these functions, their utility and value, and the need for an infrastructure, takes extensive exposure to the new paradigm. This paper addresses issues surrounding the establishment and operation of a key management system (i.e., certification authority) that is essential to the successful implementation and wide-spread use of encryption.

Long, J.P.; Christensen, M.J.; Sturtevant, A.P.; Johnston, W.E.

1995-09-25T23:59:59.000Z

211

SunShot Initiative: Key Activities  

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

212

Alternative Fuels Data Center: Key Federal Legislation  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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,

213

Measurement-device-independent quantum key distribution based on Bell's inequality  

E-Print Network [OSTI]

We propose two quantum key distribution (QKD) protocols based on Bell's inequality, which can be considered as modified time-reversed E91 protocol. Similar to the measurement-device-independent quantum key distribution (MDI-QKD) protocol, the first scheme requires the assumption that Alice and Bob perfectly characterize the encoded quantum states. However, our second protocol does not require this assumption, which can defeat more known and unknown source-side attacks compared with the MDI-QKD. The two protocols are naturally immune to all hacking attacks with respect to detections. Therefore, the security of the two protocols can be proven based on the violation of Bell's inequality with measurement data under fair-sampling assumption. In our simulation, the results of both protocols show that long-distance quantum key distribution over 200 km remains secure with conventional lasers in the asymptotic-data case. We present a new technique to estimate the Bell's inequality violation, which can also be applied to other fields of quantum information processing.

Hua-Lei Yin; Yao Fu; Yan-Lin Tang; Yuan Li; Teng-Yun Chen; Zeng-Bing Chen

2014-07-28T23:59:59.000Z

214

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":""}]}

215

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":""}]}

216

Renewable Energy Community: Key Elements  

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

217

Integrated Modeling of Building Energy Requirements Incorporating Solar Assisted Cooling  

E-Print Network [OSTI]

Incorporating Solar Assisted Cooling Ryan Firestone, Chrisevaluates the operation of solar assisted cooling at a large

Firestone, Ryan; Marnay, Chris; Wang, Juan

2005-01-01T23:59:59.000Z

218

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

219

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

220

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

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 - 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

222

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.

223

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

224

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

225

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

226

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

227

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.

228

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

229

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

230

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.

231

Management strategies for endangered Florida Key deer  

E-Print Network [OSTI]

Urban development is of particular concern in the management of endangered Key deer (Odocoileous virginianus clavium) because highway mortality is the greatest single cause of deer mortality (? 50%), and the rural community of Big Pine Key, Florida...

Peterson, Markus Nils

2004-09-30T23:59:59.000Z

232

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

SciTech Connect (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

233

PEM Electrolyzer Incorporating an Advanced Low-Cost Membrane  

SciTech Connect (OSTI)

The Department of Energy (DOE) has identified hydrogen production by electrolysis of water at forecourt stations as a critical technology for transition to the hydrogen economy; however, the cost of hydrogen produced by present commercially available electrolysis systems is considerably higher than the DOE 2015 and 2020 cost targets. Analyses of proton-exchange membrane (PEM) electrolyzer systems indicate that reductions in electricity consumption and electrolyzer stack and system capital cost are required to meet the DOE cost targets. The primary objective is to develop and demonstrate a cost-effective energy-based system for electrolytic generation of hydrogen. The goal is to increase PEM electrolyzer efficiency and to reduce electrolyzer stack and system capital cost to meet the DOE cost targets for distributed electrolysis. To accomplish this objective, work was conducted by a team consisting of Giner, Inc. (Giner), Virginia Polytechnic Institute & University (VT), and domnick hunter group, a subsidiary of Parker Hannifin (Parker). The project focused on four (4) key areas: (1) development of a high-efficiency, high-strength membrane; (2) development of a long-life cell-separator; (3) scale-up of cell active area to 290 cm2 (from 160 cm); and (4) development of a prototype commercial electrolyzer system. In each of the key stack development areas Giner and our team members conducted focused development in laboratory-scale hardware, with analytical support as necessary, followed by life-testing of the most promising candidate materials. Selected components were then scaled up and incorporated into low-cost scaled-up stack hardware. The project culminated in the fabrication and testing of a highly efficient electrolyzer system for production of 0.5 kg/hr hydrogen and validation of the stack and system in testing at the National Renewable Energy Laboratory (NREL).

Hamdan, Monjid [Giner, Inc.] [Giner, Inc.

2013-08-29T23:59:59.000Z

234

A Key Enzyme to the Potency of an Anticancer Agent  

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

235

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.

236

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

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

237

Special relativity as the limit of an Aristotelian universal friction theory under Reye's assumption  

E-Print Network [OSTI]

This work explores a classical mechanical theory under two further assumptions: (a) there is a universal dry friction force (Aristotelian mechanics), and (b) the variation of the mass of a body due to wear is proportional to the work done by the friction force on the body (Reye's hypothesis). It is shown that mass depends on velocity as in Special Relativity, and that the velocity is constant for a particular characteristic value. In the limit of vanishing friction the theory satisfies a relativity principle as bodies do not decelerate and, therefore, the absolute frame becomes unobservable. However, the limit theory is not Newtonian mechanics, with its Galilei group symmetry, but rather Special Relativity. This result suggests to regard Special Relativity as the limit of a theory presenting universal friction and exchange of mass-energy with a reservoir (vacuum). Thus, quite surprisingly, Special Relativity follows from the absolute space (ether) concept and could have been discovered following studies of Aristotelian mechanics and friction. We end the work confronting the full theory with observations. It predicts the Hubble law through tired light, and hence it is incompatible with supernova light curves unless both mechanisms of tired light (locally) and universe expansion (non-locally) are at work. It also nicely accounts for some challenging numerical coincidences involving phenomena under low acceleration.

E. Minguzzi

2014-11-28T23:59:59.000Z

238

NEVADA TEAM AGREEMENT BETWEEN WACKENHUT SERVICES, INCORPORATED  

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

239

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

240

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

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.


241

Incorporating Demand Response into Western Interconnection Transmission Planning  

E-Print Network [OSTI]

Aggregator Programs. Demand Response Measurement andIncorporating Demand Response into Western Interconnection13 Demand Response Dispatch

Satchwell, Andrew

2014-01-01T23:59:59.000Z

242

APPENDIX Q RULE IMPACT STATEMENT Subchapter 2. Incorporation By Reference 252:100-2-3. Incorporation by reference [AMENDED] APPENDIX Q. INCORPORATION BY REFERENCE [REVOKED  

E-Print Network [OSTI]

Reference, and Appendix Q, to update the federal regulations incorporated by reference. As required by the Administrative Rules on Rulemaking, the existing Appendix Q will be revoked and a new Appendix Q will be adopted. These proposals are part of the annual review of Title 40, Code of Federal Regulations (40 CFR) incorporations by reference. 2. CLASSES OF PERSONS AFFECTED: The classes of persons affected are the owners and operators of facilities that are subject to the regulations incorporated by reference.

unknown authors

243

Reconciling Real Option Models: An Approach to Incorporate Market and Private Uncertainties  

E-Print Network [OSTI]

Several real options analysis techniques designed for practitioners exist in literature, but there is discrepancy in their underlying assumptions, mechanics and applicability. Within this paper, a review of approaches targeted towards practitioners is included, and a novel way of integrating market and private uncertainties is proposed. Market risk is incorporated into the dynamics of the project cash flow by assuming the success of the project is correlated to a traded index. The value of the real option on the project cash flows may be priced by traditional numerical methods or a simulation approach similar to the previously recommended Datar-Mathews method (Datar et al., 2007). A numerical example presents the proposed model within the simulation framework. Keywords: Real options for practitioners, valuation under uncertainty, DM Method, correlated processes 1

Kelsey Barton; Yuri Lawryshyn

244

DSM of Newton type for solving operator equations F(u) = f with minimal smoothness assumptions on F  

Science Journals Connector (OSTI)

This paper is a review of the authors' results on the Dynamical Systems Method (DSM) for solving operator equation (*) F(u) = f. It is assumed that (*) is solvable. The novel feature of the results is the minimal assumption on the smoothness of F. It is assumed that F is continuously Frechet differentiable, but no smoothness assumptions on F?(u) are imposed. The DSM for solving equation (*) is developed. Under weak assumptions global existence of the solution u(t) is proved, the existence of u(?) is established, and the relation F(u(?)) = f is obtained. The DSM is developed for a stable solution of equation (*) when noisy data f? are given, ''f ? f?'' ? ?.

N.S. Hoang; A.G. Ramm

2010-01-01T23:59:59.000Z

245

Counterfactual quantum key distribution with high efficiency  

SciTech Connect (OSTI)

In a counterfactual quantum key distribution scheme, a secret key can be generated merely by transmitting the split vacuum pulses of single particles. We improve the efficiency of the first quantum key distribution scheme based on the counterfactual phenomenon. This scheme not only achieves the same security level as the original one but also has higher efficiency. We also analyze how to achieve the optimal efficiency under various conditions.

Sun Ying [State Key Laboratory of Networking and SwitchingTechnology, Beijing University of Posts and Telecommunications, Beijing 100876 (China); Beijing Electronic Science and Technology Institute, Beijing 100070 (China); Wen Qiaoyan [State Key Laboratory of Networking and SwitchingTechnology, Beijing University of Posts and Telecommunications, Beijing 100876 (China)

2010-11-15T23:59:59.000Z

246

DNA-incorporating nanomaterials in biotechnological applications  

SciTech Connect (OSTI)

The recently developed ability to controllably connect biological and inorganic objects on a molecular scale opens a new page in biomimetic methods with potential applications in biodetection, tissue engineering, targeted therapeutics and drug/gene delivery. Particularly in the biodetection arena, a rapid development of new platforms has largely been stimulated by a spectrum of novel nanomaterials with physical properties that offer efficient, sensitive and inexpensive molecular sensing. Recently, DNA-functionalized nano-objects have emerged as a new class of nanomaterials that can be controllably assembled in predesigned structures. Such DNA-based nanoscale structures might provide a new detection paradigm due to their regulated optical, electrical and magnetic responses, chemical heterogeneity and high local biomolecular concentration. The specific biorecognition DNA and its physical-chemical characteristics allows for an exploitation of DNA-functionalized nanomaterials for sensing of nucleic acids, while a broad tunability of DNA interactions permits extending their use for detection of proteins, small molecules and ions. We discuss the progress that was achieved in the last decade in the exploration of new detection methods based on DNA-incorporating nanomaterials as well as their applications to gene delivery. The comparison between various detection platforms, their sensitivity and selectivity, and specific applications are reviewed.

Stadler, A.; van der Lelie, D.; Chi, C.; Gang, O.

2010-02-01T23:59:59.000Z

247

Incorporating local boundary conditions into nonlocal theories  

E-Print Network [OSTI]

We study nonlocal equations from the area of peridynamics on bounded domains. In our companion paper, we discover that, on $\\mathbb{R}^n$, the governing operator in peridynamics, which involves a convolution, is a bounded function of the classical (local) governing operator. Building on this, we define an abstract convolution operator on bounded domains. The abstract convolution operator is a function of the classical operator, defined by a Hilbert basis available due to the purely discrete spectrum of the latter. As governing operator of the nonlocal equation we use a function of the classical operator, this allows us to incorporate local boundary conditions into nonlocal theories. For the homogeneous wave equation with the considered boundary conditions, we prove that continuity is preserved by time evolution. We give explicit solution expressions for the initial value problems with prominent boundary conditions such as periodic, antiperiodic, Neumann, and Dirichlet. In order to connect to the standard convolution, we give an integral representation of the abstract convolution operator. We present additional "simple" convolutionsbased on periodic and antiperiodic boundary conditions that lead Neumann and Dirichlet boundary conditions. We present a numerical study of the solutions of the wave equation. For discretization, we employ a weak formulation based on a Galerkin projection and use piecewise polynomials on each element which allows discontinuities of the approximate solution at the element borders. We study convergence order of solutions with respect to polynomial order and observe optimal convergence. We depict the solutions for each boundary condition.

Burak Aksoylu; Horst Reinhard Beyer; Fatih Celiker

2014-11-12T23:59:59.000Z

248

Monroe County Extension Services Key West Office  

E-Print Network [OSTI]

-292-4501 http://monroe.ifas.ufl.edu Key Largo Office: 102050 Overseas Highway, Room 244 City and County Tree Energy Services: 305-295-1010 Florida Keys Electric Co-op: 305-852-2431 Monroe County Roads & Bridges conditions based on USDA zone, water and light requirements, soil conditions, salt and wind tolerance

Florida, University of

249

Older People With Dementia Cared for Mostly at Home Study challenges assumption that most patients die in nursing homes  

E-Print Network [OSTI]

Older People With Dementia Cared for Mostly at Home Study challenges assumption that most patients die in nursing homes -- Robert Preidt FRIDAY, May 11 (HealthDay News) -- Many elderly people with dementia live and die at home rather than in nursing homes, a new study has found. The findings challenge

Belogay, Eugene A.

250

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

251

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

252

Fuel Cell Technologies Office: Key Activities  

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

253

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. 7 figs.

Darimont, D.E.

1995-10-31T23:59:59.000Z

254

Captured key electrical safety lockout system  

SciTech Connect (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

255

Stable benzimidazole-incorporated porous polymer network for...  

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

Stable benzimidazole-incorporated porous polymer network for carbon capture with high efficiency and low cost Previous Next List Muwei Zhang, Zachary Perry, Jinhee Park, Hong-Cai...

256

Appendix SFA-1 FAR & DEAR Clauses Incorporated By Reference  

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

In the phrases "Government Property," "Government-Furnished Property," and "Government-Owned Property;" (ii) In any patent clauses incorporated herein; (iii) When a right, act,...

257

Voluntary Protection Program Onsite Review, Bechtel National Incorporated- October 2008  

Broader source: Energy.gov [DOE]

Evaluation to determine whether the Bechtel National Incorporated Waste Treatment Plant is continuing to perform at a level deserving DOE-VPP Star recognition.

258

Research Summary Key Ingredients of Collaborative Management  

E-Print Network [OSTI]

, wildlife management and water catchments. This project, developed in discussion with stakeholders, soughtResearch Summary Key Ingredients of Collaborative Management It is widely accepted that collaboration amongst stakeholders can lead to more sustainable land-management. Voluntary collaboration

259

Extracting secret keys from integrated circuits  

E-Print Network [OSTI]

Modern cryptographic protocols are based on the premise that only authorized participants can obtain secret keys and access to information systems. However, various kinds of tampering methods have been devised to extract ...

Lim, Daihyun, 1976-

2004-01-01T23:59:59.000Z

260

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

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

Aspects of Key Largo woodrat ecology  

E-Print Network [OSTI]

for the last 25 years. Population 6 estimates also suggest that the KLWR population is critically low and at great risk of extinction. INTRODUCTION The manatee (Trichechus manatus), Florida panther (Puma concolor coryi), and Key deer (Odocoileus...). Currently, money, management, man-power, research, and education are focused on Florida?s other more charismatic mega-fauna like the Key deer, manatee, and Florida panther. Similar efforts should be made for the KLWR to determine and eliminate the causes...

McCleery, Robert Alan; Lopez, Roel R.

2004-09-30T23:59:59.000Z

262

Multipartite secret key distillation and bound entanglement  

SciTech Connect (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

263

Multipartite secret key distillation and bound entanglement  

E-Print Network [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 GHZ structure and nonzero distillable cryptographic key. We quantitatively estimate the key from below with help of the privacy squeezing technique.

Remigiusz Augusiak; Pawel Horodecki

2008-11-21T23:59:59.000Z

264

Int. J. Spray and Comb. Dynamics -Accepted for publication 1 About the zero Mach number assumption in  

E-Print Network [OSTI]

as much as the the flame forcing ('Rayleigh') term. Besides, the net effect of the non zero Mach numberInt. J. Spray and Comb. Dynamics - Accepted for publication 1 About the zero Mach number assumption in the calculation of thermoacoustic instabilities By F. N I C O U D1 AND K. W I E C Z O R E K1,2 1 University

Paris-Sud XI, Université de

265

Composable security proof for continuous-variable quantum key distribution with coherent states  

E-Print Network [OSTI]

We give the first composable security proof for continuous-variable quantum key distribution with coherent states against collective attacks. Crucially, in the limit of large blocks the secret key rate converges to the usual value computed from the Holevo bound. Combining our proof with either the de Finetti theorem or the Postselection technique then shows the security of the protocol against general attacks, thereby confirming the long-standing conjecture that Gaussian attacks are optimal asymptotically in the composable security framework. We expect that our parameter estimation procedure, which does not rely on any assumption, will find applications elsewhere, for instance for the reliable quantification of continuous-variable entanglement in finite-size settings.

Anthony Leverrier

2014-08-25T23:59:59.000Z

266

Dynamic Traffic Assignment Incorporating Commuters Trip Chaining Behavior  

E-Print Network [OSTI]

DYNAMIC TRAFFIC ASSIGNMENT INCORPORATING COMMUTERS TRIP CHAINING BEHAVIOR A Thesis by WEN WANG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE August 2011 Major Subject: Civil Engineering Dynamic Traffic Assignment Incorporating Commuters Trip Chaining Behavior Copyright 2011 Wen Wang DYNAMIC TRAFFIC ASSIGNMENT...

Wang, Wen

2012-10-19T23:59:59.000Z

267

Selective incorporation of 5-hydroxytryptophan into proteins in mammalian cells  

DOE Patents [OSTI]

This invention provides methods and compositions for incorporation of an unnatural amino acid into a peptide using an orthogonal aminoacyl tRNA synthetase/tRNA pair. In particular, an orthogonal pair is provided to incorporate 5-hydroxy-L-tryptophan in a position encoded by an opal mutation.

Zhang, Zhiwen; Alfonta, Lital; Schultz, Peter G

2014-02-25T23:59:59.000Z

268

MEASUREMENT OF IMPEDANCE CHARACTERISTICS OF COMPUTER KEYBOARD KEYS1  

E-Print Network [OSTI]

of computer keyboard keys are commonly used: rubber-dome and coil-spring keys. As indicated by their names, a rubber-dome key has a rubber dome under the keycap whereas a coil-spring key has a coil spring under of keys. From a user's perspective, the rubber-dome and coil-spring keys feel different. The properties

Nagurka, Mark L.

269

Studies on supported metal oxide-oxide support interactions (an incorporation model)  

SciTech Connect (OSTI)

XRD, XPS, SSIMS, LRS, and FT-IR are used to explore the valency, composition and structure of the dispersed metal oxide species on supports with different structures, i.e., on ceria and {gamma}-alumina. The results indicated that the dispersion of various ionic compounds are proceeded by the incorporation of the metal cations into the surface vacant sites on the support provided that the loading amounts of the compounds are not higher than their dispersion capacities. The key factors determining the dispersion capacities of the ionic compounds are: (1) the surface structure of the support which determines the size and number of the vacant sites available. (2) the valency of the dispersed ionic compound and the size of the anion, from which the shielding effect of the capping anion(s) can be evaluated, and (3) the sizes of the dispersed cations and the vacant sites on the surface, from which the sites can be used for incorporation can be identified. The Quantitative results deduced from the incorporation model and from the independent experiments are consistent, providing further evidence that the model captures the essentials of the interactions between the dispersed metal oxide and support.

Yi Chen; Lin Dong; Y.S. Jin; Bing Xu; Weijie Ji [Nanjing Univ. (China)

1996-12-31T23:59:59.000Z

270

STGWG Key Outcomes for May 3, 2010  

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

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

271

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

272

Mediated Semi-Quantum Key Distribution  

E-Print Network [OSTI]

In this paper, we design a new quantum key distribution protocol, allowing two limited semi-quantum or "classical" users to establish a shared secret key with the help of a fully quantum server. A semi-quantum user can only prepare and measure qubits in the computational basis and so must rely on this quantum server to produce qubits in alternative bases and also to perform alternative measurements. However, we assume that the sever is untrusted and we prove the unconditional security of our protocol even in the worst case: when this quantum server is an all-powerful adversary. We also compute a lower bound of the key rate of our protocol, in the asymptotic scenario, as a function of the observed error rate in the channel allowing us to compute the maximally tolerated error of our protocol. Our results show that a semi-quantum protocol may hold similar security to a fully quantum one.

Walter O. Krawec

2014-11-21T23:59:59.000Z

273

Key valves prioritization study. Final report  

SciTech Connect (OSTI)

Key valves, installed in nuclear power plants, are those valves in which a malfunction can result in a shut down, in a reduction in power generation level, or in the extension of planned outages. Over two thousand Licensee Event Reports (LERs) are evaluated to identify the valve failure events which affected nuclear plant availability. Other data reporting systems are used to supplement the information collected for each event. A data base is established comprising 102 key valve failure events that are identified as the principal case of lost plant availability.

Riddington, J.W.

1984-10-01T23:59:59.000Z

274

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

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

$'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

275

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

276

Campaigns and incentive programs that incorporate ENERGY STAR | ENERGY STAR  

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

277

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

278

Incorporating Biodiversity Considerations into Environmental Impact Analysis under NEPA  

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

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-

279

CHEMICAL ABBREVIATION KEY ABBREVIATION CHEMICAL NAME HAZARDS  

E-Print Network [OSTI]

Irritant destain Methanol,acetic acid,H2O Flammable, Corrosive - acid DI H2O Deionized water DCM Nitric acid Corrosive - acid KAc Potassium acetate Irritant KCl Potassium chloride Irritant K2H PO4 Corrosive - base LiCl Lithium chloride Harmful MeOH Methanol Flammable #12;CHEMICAL ABBREVIATION KEY

Pawlowski, Wojtek

280

Rangeland ecology: Key global research issues & questions  

E-Print Network [OSTI]

1 Rangeland ecology: Key global research issues & questions Robin Reid and Maria Fernandez-Gimenez This paper discusses developments in our understanding about rangeland ecology and rangeland dynamics in the last 20 years. Before the late 1980's, the mainstream view in range ecology was that livestock

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

National Policy Assurances to be Incorporated as Award Terms | Department  

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

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

282

DOE Cites Bechtel National Incorporated for Price-Anderson Violations |  

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

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

283

DOE Cites Bechtel National Incorporated for Price-Anderson Violations |  

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

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

284

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

285

Design and synthesis of nucleobase-incorporated metal-organic...  

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

Design and synthesis of nucleobase-incorporated metal-organic materials Previous Next List Muwei Zhang, Weigang Lu, Jian-Rong Li, Mathieu Bosch, Ying-Pin Chen, Tian-Fu Liu,...

286

The incorporation of bubbles into a computer graphics fluid simulation  

E-Print Network [OSTI]

We present methods for incorporating bubbles into a photorealistc fluid simulation. Previous methods of fluid simulation in computer graphics do not include bubbles. Our system automatically creates bubbles, which are simulated on top of the fluid...

Greenwood, Shannon Thomas

2005-08-29T23:59:59.000Z

287

Incorporating Energy Efficiency into Western Interconnection Transmission Planning  

E-Print Network [OSTI]

WALC WAUW WECC Total SPSC High DSM Case Non- Coincident PeakCAGRs (2010-2032) WECC Reference Case SPSC High DSM CaseQuan, 2010, Incorporating DSM into the Load Forecast.

Barbose, Galen

2014-01-01T23:59:59.000Z

288

Photo-induced hydrogen production in a helical peptide incorporating...  

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

Photo-induced hydrogen production in a helical peptide incorporating a FeFe hydrogenase active site mimic Authors: Roy, A., Madden, C., and Ghirlanda, G. Title: Photo-induced...

289

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":[]}

290

ENHANCEMENT OF STRUCTURAL FOAM MATERIALS BY INCORPORATION OF GASIFIER SLAG  

SciTech Connect (OSTI)

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

291

Transportation radiological risk assessment for the programmatic environmental impact statement: An overview of methodologies, assumptions, and input parameters  

SciTech Connect (OSTI)

The U.S. Department of Energy is considering a broad range of alternatives for the future configuration of radioactive waste management at its network of facilities. Because the transportation of radioactive waste is an integral component of the management alternatives being considered, the estimated human health risks associated with both routine and accident transportation conditions must be assessed to allow a complete appraisal of the alternatives. This paper provides an overview of the technical approach being used to assess the radiological risks from the transportation of radioactive wastes. The approach presented employs the RADTRAN 4 computer code to estimate the collective population risk during routine and accident transportation conditions. Supplemental analyses are conducted using the RISKIND computer code to address areas of specific concern to individuals or population subgroups. RISKIND is used for estimating routine doses to maximally exposed individuals and for assessing the consequences of the most severe credible transportation accidents. The transportation risk assessment is designed to ensure -- through uniform and judicious selection of models, data, and assumptions -- that relative comparisons of risk among the various alternatives are meaningful. This is accomplished by uniformly applying common input parameters and assumptions to each waste type for all alternatives. The approach presented can be applied to all radioactive waste types and provides a consistent and comprehensive evaluation of transportation-related risk.

Monette, F.; Biwer, B.; LePoire, D.; Chen, S.Y.

1994-02-01T23:59:59.000Z

292

Key Facts: Solyndra Solar | Department of Energy  

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

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

293

Chemical and Petroleum Engineering Key and Lab Space Agreement  

E-Print Network [OSTI]

Chemical and Petroleum Engineering Key and Lab Space Agreement Key Holder Information Last Name and Petroleum Engineering remain the property of the Department. I agree to pay a deposit for the keys

Calgary, University of

294

Key Physical Mechanisms in Nanostructured Solar Cells  

SciTech Connect (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

295

Vehicle Electrification is Key to Reducing Petroleum Dependency...  

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

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

296

Midstream Infrastructure Improvements Key to Realizing Full Potential...  

Office of Environmental Management (EM)

Midstream Infrastructure Improvements Key to Realizing Full Potential of Domestic Natural Gas Midstream Infrastructure Improvements Key to Realizing Full Potential of Domestic...

297

Key Publications - Natural Gas Regulation | Department of Energy  

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

Services Natural Gas Regulation Key Publications - Natural Gas Regulation Key Publications - Natural Gas Regulation Natural Gas Imports and Exports - Quarterly Reports July...

298

Rapid Compression Machine ? A Key Experimental Device to Effectively...  

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

Rapid Compression Machine A Key Experimental Device to Effectively Collaborate with Basic Energy Sciences Rapid Compression Machine A Key Experimental Device to Effectively...

299

Road Blocks Yield Key Information about a Catalyst | The Ames...  

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

Road Blocks Yield Key Information about a Catalyst Researchers systematically blocked key chemical reaction pathways to get unambiguous information about how carbon-nitrogen bonds...

300

Sandia National Laboratories: The Brain: Key To a Better Computer  

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

ClimateECResearch & CapabilitiesCapabilitiesThe Brain: Key To a Better Computer The Brain: Key To a Better Computer Sandian Selected for Outstanding Young Engineer Award Sandia...

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

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

SciTech Connect (OSTI)

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

302

Incorporating heterogeneity to forecast the demand of new products in emerging markets: Green cars in China  

Science Journals Connector (OSTI)

Abstract Emerging markets are becoming increasingly important for many companies and it is not surprising to see that an increasing number of new products, especially technology products, are now being launched in these markets fairly quickly after they are launched in Western markets. However, most of the research on forecasting demand for new products focuses on developed markets. Marketing managers in multinational companies may therefore be tempted to use models that have been applied in developed markets to forecast demand of new products in emerging markets. However, there is ample evidence that supports the contention that emerging markets are different to markets in developed economies. This research proposes a dynamic segmentation approach to forecast demand that explicitly incorporates heterogeneity of consumers within and across segments: a key distinguishing feature of emerging markets. The research is applied in the context of the Chinese green car market but can be replicated for other products and in similar market conditions.

Lixian Qian; Didier Soopramanien

2014-01-01T23:59:59.000Z

303

Tips for Key Maps / Inset Maps How Do I Add a Key Maps or Inset Maps  

E-Print Network [OSTI]

Tips for Key Maps / Inset Maps How Do I Add a Key Maps or Inset Maps You need a new data frame o the properties/look of the extent rectangle Tips Index Map o Should be a simplified version of the map o Should cover at least 5X the area of the main map o Should have its own scale/coordinates/title o Main coverage

Brownstone, Rob

304

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

305

Manufacturing Plants Incorporate Energy Efficiency into Business Model |  

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

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

306

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

307

Manufacturing Plants Incorporate Energy Efficiency into Business Model |  

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

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

308

STATEMENT OF CONSIDERATIONS REQUEST BY XANTREX TECHNOLOGY, INCORPORATED FOR AN  

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

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

309

ACARS Aerodynamic (Research Incorporated) Communication and Recording System  

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

310

Updated distribution and reintroduction of the Lower Keys marsh rabbit  

E-Print Network [OSTI]

, privately-owned parcels of land intersecting the area encompassed by occupied or potential Lower Keys marsh rabbit populations on Boca Chica and Saddlehill keys in 2001?2003 ................................................... 116 4....2 Undeveloped and partially-developed (parcels of land intersecting the area encompassed by occupied or potential Lower Keys marsh rabbit populations on Sugarloaf and the Saddlebunch keys in 2001...

Faulhaber, Craig Alan

2005-02-17T23:59:59.000Z

311

Incorporating Carbon Capture and Storage Technologies in Integrated Assessment Models  

E-Print Network [OSTI]

Incorporating Carbon Capture and Storage Technologies in Integrated Assessment Models J. R. Mc climate policy analysis. This paper examines the representation of carbon capture and storage (CCS carbon capture and storage, 2) a natural gas combined cycle technology with carbon capture and storage 1

312

Incorporating Velocity Shear into the Magneto-Boussinesq Approximation  

E-Print Network [OSTI]

Motivated by consideration of the solar tachocline, we derive, via an asymptotic procedure, a new set of equations incorporating velocity shear and magnetic buoyancy into the Boussinesq approximation. We demonstrate, by increasing the magnetic field scale height, how these equations are linked to the magneto-Boussinesq equations of Spiegel and Weiss (1982).

Bowker, Jordan A; Kersal, Evy

2014-01-01T23:59:59.000Z

313

Numerical Aerodynamic Optimization Incorporating Laminar-Turbulent Transition Prediction  

E-Print Network [OSTI]

Numerical Aerodynamic Optimization Incorporating Laminar-Turbulent Transition Prediction J. Driver-dimensional Newton­Krylov aerodynamic shape optimization algorithm is applied to several optimization problems a striking demonstration of the capability of the Newton­ Krylov aerodynamic optimization algorithm to design

Zingg, David W.

314

Incorporating Job Predictions into the SEAGrid Science Gateway  

Science Journals Connector (OSTI)

This paper describes the process of incorporating predictions of job queue wait times and run times into a Science Gateway. Science Gateways that integrate multiple resources can use predictions of queue wait times and run times to advice users when ... Keywords: Science gateway, computational chemistry, queue prediction, run time prediction, scheduling

Ye Fan; Sudhakar Pamidighantam; Warren Smith

2014-07-01T23:59:59.000Z

315

High conductivity electrolyte solutions and rechargeable cells incorporating such solutions  

DOE Patents [OSTI]

This invention relates generally to electrolyte solvents for use in liquid or rubbery polymer electrolyte solutions as are used, for example, in electrochemical devices. More specifically, this invention relates to sulfonyl/phospho-compound electrolyte solvents and sulfonyl/phospho-compound electrolyte solutions incorporating such solvents.

Angell, Charles Austen (Mesa, AZ); Zhang, Sheng-Shui (Tucson, AZ); Xu, Kang (Tempe, AZ)

1998-01-01T23:59:59.000Z

316

Distributed feedback laser biosensor incorporating a titanium dioxide nanorod surface  

E-Print Network [OSTI]

Distributed feedback laser biosensor incorporating a titanium dioxide nanorod surface Chun Ge,1 emission wavelength is modulated by the adsorption of biomolecules, whose greater dielectric permittivity- dimensional volume overlap between the DFBLB resonant mode and the region where biomolecule adsorption can oc

Cunningham, Brian

317

High conductivity electrolyte solutions and rechargeable cells incorporating such solutions  

DOE Patents [OSTI]

This invention relates generally to electrolyte solvents for use in liquid or rubbery polymer electrolyte solutions as are used, for example, in electrochemical devices. More specifically, this invention relates to sulfonyl/phospho-compound electrolyte solvents and sulfonyl/phospho-compound electrolyte solutions incorporating such solvents. 9 figs.

Angell, C.A.; Zhang, S.S.; Xu, K.

1998-10-20T23:59:59.000Z

318

Key-collisions in (EC)DSA: Attacking Non-repudiation* http://crypto.hyperlink.cz, email: t_rosa@volny.cz  

E-Print Network [OSTI]

on these schemes. It is shown that key-collision resistance of the (EC)DSA schemes requires the incorporation should be minimized, especially on the elementary mathematical level. A well-known way to get. Such a threat is well recognized and an adequate attention is usually paid to collision resistance of hash

319

Building commissioning: The key to quality assurance  

SciTech Connect (OSTI)

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.

NONE

1998-05-01T23:59:59.000Z

320

Key Renewable Energy Opportunities for Oklahoma Tribes  

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

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

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

Vehicle Technologies Office: Key Activities in Vehicles  

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

322

Low-Power Public Key Cryptography  

SciTech Connect (OSTI)

This report presents research on public key, digital signature algorithms for cryptographic authentication in low-powered, low-computation environments. We assessed algorithms for suitability based on their signature size, and computation and storage requirements. We evaluated a variety of general purpose and special purpose computing platforms to address issues such as memory, voltage requirements, and special functionality for low-powered applications. In addition, we examined custom design platforms. We found that a custom design offers the most flexibility and can be optimized for specific algorithms. Furthermore, the entire platform can exist on a single Application Specific Integrated Circuit (ASIC) or can be integrated with commercially available components to produce the desired computing platform.

BEAVER,CHERYL L.; DRAELOS,TIMOTHY J.; HAMILTON,VICTORIA A.; SCHROEPPEL,RICHARD C.; GONZALES,RITA A.; MILLER,RUSSELL D.; THOMAS,EDWARD V.

2000-11-01T23:59:59.000Z

323

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

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

324

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

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

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

325

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.

326

Safeguarding Quantum Key Distribution through Detection Randomization  

E-Print Network [OSTI]

We propose and experimentally demonstrate a scheme to render the detection apparatus of a Quantum Key Distribution system immune to the main classes of hacking attacks in which the eavesdropper explores the back-door opened by the single-photon detectors. The countermeasure is based on the creation of modes that are not deterministically accessible to the eavesdropper. We experimentally show that the use of beamsplitters and extra single-photon detectors at the receiver station passively creates randomized spatial modes that erase any knowledge the eavesdropper might have gained when using bright-light faked states. Additionally, we experimentally show a detector-scrambling approach where the random selection of the detector used for each measurement - equivalent to an active spatial mode randomization - hashes out the side-channel open by the detection efficiency mismatch-based attacks. The proposed combined countermeasure represents a practical and readily implementable solution against the main classes of quantum hacking attacks aimed on the single-photon detector so far, without intervening on the inner working of the devices.

Thiago Ferreira da Silva; Gustavo C. do Amaral; Guilherme B. Xavier; Guilherme P. Temporo; Jean Pierre von der Weid

2014-10-02T23:59:59.000Z

327

Compression station key to Texas pipeline project  

SciTech Connect (OSTI)

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

328

Mind your manners: socially appropriate wireless key establishment for groups  

Science Journals Connector (OSTI)

Group communication is inherently a social activity. However, existing protocols for group key establishment often fail to consider important social dynamics. This paper examines the human requirements for wireless group key establishment. We identify ...

Cynthia Kuo; Ahren Studer; Adrian Perrig

2008-03-01T23:59:59.000Z

329

High-dimensional entanglement-based quantum key distribution  

E-Print Network [OSTI]

Conventional quantum key distribution (QKD) uses a discrete two-dimensional Hilbert space for key encoding, such as the polarization state of a single photon. In contrast, high-dimensional QKD allows encoding onto a larger ...

Zhong, Tian, Ph. D. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

330

Hybrid Key Management for Mobile Ad Hoc Networks  

Science Journals Connector (OSTI)

Many public key infrastructure (PKI) approaches have been proposed in ... networks (MANETs). We present a new hybrid key management infrastructure, which combines the concepts of PKIs for MANET with trusted-third...

David Sanchez Sanchez; Heribert Baldus

2006-01-01T23:59:59.000Z

331

SOW and Key Performance Parameters (KPP) Handbook Final Version...  

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

SOW and Key Performance Parameters (KPP) Handbook Final Version 9-30-2014 SOW and Key Performance Parameters (KPP) Handbook Final Version 9-30-2014 This handbook provides suggested...

332

Distributed Private-Key Generators for Identity-Based Cryptography  

Science Journals Connector (OSTI)

An identity-based encryption (IBE) scheme can greatly reduce the complexity of sending encrypted messages. However, an IBE scheme necessarily requires a private-key generator (PKG), which can create private keys ...

Aniket Kate; Ian Goldberg

2010-01-01T23:59:59.000Z

333

The impacts of urbanization on endangered florida key deer  

E-Print Network [OSTI]

for resources between man and wildlife continues, it is important to understand the effects of urbanization on species. Endangered Key deer (Odocoileus virginianus clavium) are endemic to the Florida Keys archipelago stretching southwest off the southern tip...

Harveson, Patricia Moody

2006-04-12T23:59:59.000Z

334

Residential Energy Efficiency Financing: Key Elements of Program Design  

Broader source: Energy.gov [DOE]

Presents key programmatic elements and context of financing initiatives, including contractor support, rebates, quality assurance, and more.

335

Evaluation of the phase randomness of the light source in quantum key distribution systems with an attenuated laser  

E-Print Network [OSTI]

The phase randomized light is one of the key assumptions in the security proof of Bennett-Brassard 1984 (BB84) quantum key distribution (QKD) protocol implemented with an attenuated laser. Though the assumption has been believed to be satisfied for conventional systems, it should be reexamined for current high speed QKD systems. The phase correlation may be induced by the overlap of the optical pulses, the interval of which decreases as the clock frequency. The phase randomness was investigated experimentally by measuring the visibility of interference. An asymmetric Mach-Zehnder interferometer was used to observe the interference between adjacent pulses from a gain-switched distributed feedback laser diode driven at 10 GHz. Low visibility was observed when the minimum drive current was set far below the threshold, while the interference emerged when the minimum drive current was close to the threshold. Theoretical evaluation on the impact of the imperfect phase randomization provides target values for the visibility to guarantee the phase randomness. The experimental and theoretical results show that secure implementation of decoy BB84 protocol is achievable even for the 10-GHz clock frequency, by using the laser diode under proper operating conditions.

Toshiya Kobayashi; Akihisa Tomita; Atsushi Okamoto

2014-07-07T23:59:59.000Z

336

Type-Based Analysis of Generic Key Management APIs  

E-Print Network [OSTI]

Type-Based Analysis of Generic Key Management APIs Pedro Ad~ao1,2 , Riccardo Focardi3, Universit`a Ca' Foscari, Venezia, Italy Abstract In the past few years, cryptographic key management APIs. In fact, real APIs provide mechanisms to declare the intended use of keys but they are not strong enough

337

AbstractFirst-principles models that incorporate all of the key physics that affect the internal states of a lithium-ion  

E-Print Network [OSTI]

effect, and relatively long battery life [2-4]. Capacity fade, underutilization, and thermal runaway states of a lithium-ion battery are in the form of coupled nonlinear PDEs. While these models are very the internal states of battery with a full simulation running in milliseconds without compromising on accuracy

Subramanian, Venkat

338

President Obama Announces More Key Administration Posts | Department of  

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

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

339

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

340

Secret key distillation from shielded two-qubit states  

SciTech Connect (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

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

Yttrium Dopants in Titania: not Structurally Incorporated but Bound at  

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

342

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

343

Reliability of Calderbank-Shor-Steane Codes and Security of Quantum Key Distribution  

E-Print Network [OSTI]

After Mayers (1996, 2001) gave a proof of the security of the Bennett-Brassard 1984 (BB84) quantum key distribution protocol, Shor and Preskill (2000) made a remarkable observation that a Calderbank-Shor-Steane (CSS) code had been implicitly used in the BB84 protocol, and suggested its security could be proven by bounding the fidelity, say F(n), of the incorporated CSS code of length n in the form 1-F(n) 0 whenever R < R', which is larger than the achievable rate based on the Gilbert-Varshamov bound that is essentially due to Shor and Preskill (2000). The codes in the present work are robust against fluctuations of channel parameters, which fact is needed to establish the security rigorously and was not proved for rates above the Gilbert-Varshamov rate before in the literature. As a byproduct, the security of a modified BB84 protocol against any joint (coherent) attacks is proved quantitatively.

Mitsuru Hamada

2003-08-05T23:59:59.000Z

344

President Obama Announces More Key Administration Posts | Department of  

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

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

345

President Obama Announces More Key Administration Posts | Department of  

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

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

346

Florida Keys Electric Cooperative - Residential Rebate Program | Department  

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

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

347

Vehicle Technologies Office: Key Activities in Vehicles | Department...  

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

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...

348

PPPL scientists take key step toward solving a major astrophysical...  

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

Primary tabs View(active tab) High Resolution Press Releases PPPL scientists take key step toward solving a major astrophysical mystery By John Greenwald September 10, 2014 Tweet...

349

PPPL scientists take key step toward solving a major astrophysical...  

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

Primary tabs View(active tab) High Resolution News PPPL scientists take key step toward solving a major astrophysical mystery By John Greenwald September 10, 2014 Tweet Widget...

350

Preventing Quantum Hacking in Continuous Variable Quantum Key Distribution  

Science Journals Connector (OSTI)

Security loopholes have been shown for discrete-variable Quantum Key Distribution (QKD). Here, we propose and provide experimental evidence of an attack targeting a continuous-variable...

Jouguet, Paul; Diamanti, Eleni; Kunz-Jacques, Sbastien

351

Researchers find potential key for unlocking biomass energy  

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

Unlocking biomass energy Researchers find potential key for unlocking biomass energy Potential pretreatment method that can make plant cellulose five times more digestible by...

352

Key Practical Issues in Strengthening Safety Culture, INSAG-15...  

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

A Report by the International Nuclear Safety Advisory Group, International Atomic Energy Agency, Vienna, 2002. Key Practical Issues in Strengthening Safety Culture, INSAG-15,...

353

LANL breaks ground on key sediment control project  

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

Sediment control project LANL breaks ground on key sediment control project Called "grade-control" structures, the approximately 2 million features are up to eight feet high and...

354

Sandia completes major overhaul of key nuclear weapons test facilities...  

National Nuclear Security Administration (NNSA)

completes major overhaul of key nuclear weapons test facilities | National Nuclear Security Administration People Mission Managing the Stockpile Preventing Proliferation Powering...

355

Key Facts about the Biosciences Division | Argonne National Laboratory  

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

to understand biological mechanisms relevant to bioremediation, climate change, energy production, and the protection of human health. BiosciencesDivisionKeyFactsOct2014...

356

Keys to Successful Feedback - John Settle PowerPoint Presentation...  

Office of Environmental Management (EM)

Transportation of Radioactive Materials Keys to Successful Feedback - John Settle PowerPoint Presentation Leadership Development Readings May 14, 2014 - "Your Brain on Conflict"...

357

Water dynamics clue to key residues in protein folding  

SciTech Connect (OSTI)

A computational method independent of experimental protein structure information is proposed to recognize key residues in protein folding, from the study of hydration water dynamics. Based on all-atom molecular dynamics simulation, two key residues are recognized with distinct water dynamical behavior in a folding process of the Trp-cage protein. The identified key residues are shown to play an essential role in both 3D structure and hydrophobic-induced collapse. With observations on hydration water dynamics around key residues, a dynamical pathway of folding can be interpreted.

Gao, Meng [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)] [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China); Zhu, Huaiqiu, E-mail: hqzhu@pku.edu.cn [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)] [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China); Yao, Xin-Qiu [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China) [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China); Department of Biophysics, Kyoto University, Sakyo Kyoto 606-8502 (Japan); She, Zhen-Su, E-mail: she@pku.edu.cn [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)] [State Key Laboratory for Turbulence and Complex Systems, and Department of Biomedical Engineering, and Center for Theoretical Biology, and Center for Protein Science, Peking University, Beijing 100871 (China)

2010-01-29T23:59:59.000Z

358

Hydrodynamic experiment provides key data for Stockpile Stewardship  

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

predictively model and assess weapon performance in the absence of full-scale underground nuclear testing," said Webster. Los Alamos hydrodynamic experiment provides key data for...

359

Livermore highlights key accomplishments in annual report | National...  

National Nuclear Security Administration (NNSA)

highlights key accomplishments in annual report | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

360

Key acoustical issues associated with the renovation and restoration of the Southern Theatre, Columbus, Ohio  

Science Journals Connector (OSTI)

For an acoustics designer of performing arts facilities the renovation and restoration of a landmarked facility can be frustrating as there are rarely opportunities to alter the original architecture and therefore alter the original acoustics. The Southern Theatre renovation and restoration was somewhat unique with respect to the extent to which the theater interior was altered to address code issues and to incorporate HVAC systems. The Southern Theatre originally opened in 1896. The stagehouse main floor and second balcony were rebuilt as part of the renovation. The second balcony which originally had a separate entrance from the street was redeveloped to incorporate contemporary theater seating as well as some additional technical support spaces including control rooms and new lighting positions. With the wide scope of the renovation came the opportunity to introduce some important acoustic improvements. Among the key issues discussed are the acoustical design of a unique silent air supply system and design of an unusual enclosure for music ensembles that develops the lower volume of the stagehouse as a partially coupled reverberation chamber.

David W. Kahn; Ronald T. Eligator

1999-01-01T23:59:59.000Z

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.


361

Efficient incorporation of silver to improve superconducting fibers  

DOE Patents [OSTI]

An improved method for the efficient incorporation of a metal such as silver in a superconducting material includes blending the metal with a high temperature superconductor or precursor powder and consolidating the same into pellets. The pellets are charged directly into a heating assembly where it is melted and heated sufficiently to a uniform temperature prior to fiberization. Droplets of the melted blend fall through a collar into a nozzle where they are subjected to a high velocity gas to break the melted material into ligaments which solidify into improved flexible fibers having the metal homogeneously dis This invention was made with Government support under a contract with the Department of Energy (DOE) and Ames Laboratory, Contract No. SC-91-225, our reference No. CRD-1272. The Government has certain rights in this invention.

Gleixner, Richard A. (North Canton, OH); LaCount, Dale F. (Alliance, OH); Finnemore, Douglas K. (Ames, IA)

1994-04-26T23:59:59.000Z

362

Reliability assessment of autonomous power systems incorporating HVDC interconnection links  

SciTech Connect (OSTI)

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] [National Technical Univ., Athens (Greece). Dept. of Electrical and Computer Engineering; Agoris, D. [Public Power Corp., Athens (Greece)] [Public Power Corp., Athens (Greece)

1996-01-01T23:59:59.000Z

363

Incorporating Non-energy Benefits into Energy Savings Performance Contracts  

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

364

Volume painting: incorporating volumetric rendering with line integral convolution (LIC)  

E-Print Network [OSTI]

as a 3D vector. The 3D vector fields are key to implementing the 3D brush-stroke which has the information of motion. A variety of vector fields such as fluid, linear, vortex and the like, can be defined and visualized in the volume painting process.... Gritz, Advanced Renderman - Creating CGI for Motion Pictures, San Francisco: Morgan Kaufmann Publishers, 2000. [17] J. Hart, D. Sandin and L. Kauffman, ?Ray Tracing Deterministic 3-D Fractals,? in Proceedings SIGGRAPH ?89. ACM, 1989, pp. 289-296. [18] K...

Lee, Jaewook

2005-11-01T23:59:59.000Z

365

7-117 The claim of a heat pump designer regarding the COP of the heat pump is to be evaluated. Assumptions The heat pump operates steadily.  

E-Print Network [OSTI]

7-47 7-117 The claim of a heat pump designer regarding the COP of the heat pump is to be evaluated. Assumptions The heat pump operates steadily. HP Wnet,in QH QL TL TH Analysis The maximum heat pump coefficient of performance would occur if the heat pump were completely reversible, 5.7 K026K300 K300 COP maxHP, LH H TT

Bahrami, Majid

366

Review of technical justification of assumptions and methods used by the Environmental Protection Agency for estimating risks avoided by implementing MCLs for radionuclides  

SciTech Connect (OSTI)

The Environmental Protection Agency (EPA) has proposed regulations for allowable levels of radioactive material in drinking water (40 CFR Part 141, 56 FR 33050, July 18, 1991). This review examined the assumptions and methods used by EPA in calculating risks that would be avoided by implementing the proposed Maximum Contaminant Levels for uranium, radium, and radon. Proposed limits on gross alpha and beta-gamma emitters were not included in this review.

Morris, S.C.; Rowe, M.D.; Holtzman, S.; Meinhold, A.F.

1992-11-01T23:59:59.000Z

367

Secure password-based authenticated key exchange for web services  

Science Journals Connector (OSTI)

This paper discusses an implementation of an authenticated key-exchange method rendered on message primitives defined in the WS-Trust and WS-SecureConversation specifications. This IEEE-specified cryptographic method (AuthA) is proven-secure for password-based ... Keywords: authenticated key exchange, password, security, web services

Liang Fang; Samuel Meder; Olivier Chevassut; Frank Siebenlist

2004-10-01T23:59:59.000Z

368

Prairie Fruit Summary, 2010 Some key considerations for the homeowner  

E-Print Network [OSTI]

1 Prairie Fruit Summary, 2010 Some key considerations for the homeowner by Bob Bors The following list highlights some key positive (+), negative (-) and variable ( ± ) attributes for growing fruit into account. For more info visit: www.fruit.usask.ca Haskap/Blue Honeysuckle: - All varieties are very cold

Peak, Derek

369

Efficient Hybrid Key Agreement Protocol for Wireless Ad Hoc Networks  

E-Print Network [OSTI]

Efficient Hybrid Key Agreement Protocol for Wireless Ad Hoc Networks Xiang-Yang Li Yu Wang Ophir important aspects in ad-hoc wireless networks. To ensure the security, several cryptography protocols must efficient when applied to wireless ad-hoc networks. In this paper, we propose a key agreement protocol

Wang, Yu

370

Nanomedicine Seminar Series I Key drivers in nano-medicine  

E-Print Network [OSTI]

Nanomedicine Seminar Series ­ I Key drivers in nano-medicine Key application spaces Biosensing for superbug drug resistance Nature Nanotechnology 3 691 696 (2008) reagent storage. Lab Chip, 2008, 8, 2038 ­ 2045 Funded by Gates Foundation Nature Nanotechnology 3, 691 696 (2008) Funded by Gates Foundation 9

371

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

372

Relations among Privacy Notions for Signcryption and Key Invisible  

E-Print Network [OSTI]

Relations among Privacy Notions for Signcryption and Key Invisible "Sign-then-Encrypt" Yang Wang1 invisibility to protect the identities of signcryption users and were able to prove that key invisibility invisibility implies ciphertext anonymity without any additional restrictions. More surprisingly, we prove

Manulis, Mark

373

Practical Key-Recovery for All Possible Parameters of SFLASH  

E-Print Network [OSTI]

function over a finite field. However, unlike RSA this power function is an easy-to-invert bijec- tion a new practical key-recovery attack on the SFLASH signature scheme. SFLASH is a derivative of the older from the public-key. The attack uses new crypt- analytic tools, most notably pencils of matrices

Fouque, Pierre-Alain

374

President Obama Announces More Key Administration Posts | Department of  

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

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

375

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

376

Apparatus, system, and method for synchronizing a timer key  

DOE Patents [OSTI]

A timer key relating to monitoring a countdown time of a countdown routine of an electronic device is disclosed. The timer key comprises a processor configured to respond to a countdown time associated with operation of the electronic device, a display operably coupled with the processor, and a housing configured to house at least the processor. The housing has an associated structure configured to engage with the electronic device to share the countdown time between the electronic device and the timer key. The processor is configured to begin a countdown routine based at least in part on the countdown time, wherein the countdown routine is at least substantially synchronized with a countdown routine of the electronic device when the timer key is removed from the electronic device. A system and method for synchronizing countdown routines of a timer key and an electronic device are also disclosed.

Condit, Reston A; Daniels, Michael A; Clemens, Gregory P; Tomberlin, Eric S; Johnson, Joel A

2014-04-22T23:59:59.000Z

377

Key issues of tidal energy and factors affecting it globally with civil structures  

Science Journals Connector (OSTI)

This paper focus on some of the key challenges to be met in the development of marine energy, it present prototype form to being a widely deployed contributor to future energy supply of the world. Large-scale wave and tidal current prototypes have been demonstrated around the world, but marine renewable energy technology is still 10-15 years behind that of wind energy. However, having started later, the developing technology can make use of more advanced science and engineering, and it is therefore reasonable to expect rapid progress. Many scientific advances are required to meet these challenges and their likelihood is explored based on current and future capabilities. The paper incorporating aspects of technology, power production effects and capital cost factor implications. The aim is to give grounding in the nature of the industry, the current state of the industry and the key factors which will potentially shape and limit the growth of the industry. This is achieved by evaluating tidal power from technological, environmental and socioeconomic viewpoints.

Kiranben V. Patel; Suvin M. Patel

2010-01-01T23:59:59.000Z

378

Authenticated group Diffie-Hellman key exchange: theory and practice  

SciTech Connect (OSTI)

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

379

Energy Efficiency Measures to Incorporate into Remodeling Projects  

SciTech Connect (OSTI)

Energy improvements in a home are often approached as one concerted effort, beginning with a simple walk-through assessment or more in-depth energy audit and followed by the installation of recommended energy measures. While this approach allows for systems thinking to guide the efforts, comprehensive energy improvements of this nature are undertaken by a relatively small number of the households in our nation compared to more piecemeal remodeling efforts. Even when programs like the Weatherization Assistance Program and Home Performance with ENERGY STAR are considered, homes that have had a comprehensive energy makeover still represent a small fraction of the 111.1 million households. In this report, the U.S Department of Energy Building America Retrofit Alliance research team looks at the improvement of a home's energy performance in an opportunistic way: it examines what can be done to incorporate energy efficiency measures into general remodeling work and home repair projects. This allows for the possibility for people who would not normally pursue energy efficiency but will remodel their kitchen or re-side their home to improve their home's performance at the same time. There are challenges to this approach, not the least of which being that the work will take place over time in potentially many separate projects. The opportunity to improve a home's energy efficiency at one time expands or contracts with the scope of the remodel. As such, guidance on how to do each piece thoughtfully and with consideration for potential future projects, is critical.

Liaukus, C.

2014-12-01T23:59:59.000Z

380

Human APOBEC3G incorporation into murine leukemia virus particles  

Science Journals Connector (OSTI)

The human APOBEC3G protein exhibits broad antiretroviral activity against a variety of retroviruses. It is packaged into viral particles and executes its antiviral function in the target cell. The packaging of APOBEC3G into different viral particles requires a mechanism that confers this promiscuity. Here, APOBEC3G incorporation into murine leukemia virus (MLV) was studied using retroviral vectors. APOBEC3G uptake did not require either its cytidine deaminase activity or the presence of a retroviral vector genome. Results from immunoprecipitation and co-localization studies of APOBEC3G with a MLV GagCFP (cyan fluorescent protein) fusion protein imply an interaction between both proteins. \\{RNase\\} A treatment did not inhibit the co-precipitation of GagCFP and APOBEC3G, suggesting that the interaction is RNA independent. Like human immunodeficiency virus (HIV) Gag, the MLV Gag precursor protein appears to interact with APOBEC3G, indicating that Gag contains conserved structures which are used to encapsidate APOBEC3G into different retroviral particles.

Melanie Kremer; Alexandra Bittner; Barbara S. Schnierle

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.


381

The Electricity Transmission System Opportunities to Overcome Key Challenges  

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

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.

382

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

383

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

384

U-268: Oracle Database Authentication Protocol Discloses Session Key  

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

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

385

Energy Secretary Bodman Commends Key Milestone In MOX Program | Department  

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

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

386

President Obama Announces More Key Administration Posts | Department of  

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

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

387

Department of Energy Announces Key Additions to Public Affairs Staff |  

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

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

388

U-268: Oracle Database Authentication Protocol Discloses Session Key  

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

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

389

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%

390

DOE Announces More Key Administration Posts | Department of Energy  

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

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

391

Key Factors in Displacement Ventilation Systems for Better IAQ  

E-Print Network [OSTI]

ICEBO2006, Shenzhen, China Maximize Comfort: Temperature, Humidity and IAQ Vol.I-7-2 Key Factors in Displacement Ventilation Systems for Better IAQ1 Xiaotong Wang Junjun Chen Yike Li Zhiwei Wang Associate Professor...

Wang, X.; Chen, J.; Li, Y.; Wang, Z.

2006-01-01T23:59:59.000Z

392

Molecular Pathology in Epidemiologic Studies: A Primer on Key Considerations  

Science Journals Connector (OSTI)

...treatment responses. In this mini review, we highlight specific...specific challenges. In this mini review, we discuss key principles...sentinel cores outside the main grid facilitate orientation. Use...treatment responses. In this mini review, we highlight specific...

Mark E. Sherman; Will Howatt; Fiona M. Blows; Paul Pharoah; Stephen M. Hewitt; and Montserrat Garcia-Closas

2010-04-01T23:59:59.000Z

393

Reflective cracking of shear keys in multi-beam bridges  

E-Print Network [OSTI]

strength to resist cracking from vehicular loads, but uneven temperature changes and shrinkage strains cause high tensile stresses in the shear key regions and lead to reflective cracking. The analyses showed the highest stresses were often times near...

Sharpe, Graeme Peter

2009-06-02T23:59:59.000Z

394

Reactive Support and Voltage Control Service: Key Issues and Challenges  

E-Print Network [OSTI]

Reactive Support and Voltage Control Service: Key Issues and Challenges George Gross^, Paolo of Illinois at Urbana-Champaign, Urbana, IL 61801, USA, e-mail gross@uiuc.edu ° Dipartimento di Ingegneria

Gross, George

395

President Obama Announces More Key Administration Posts | Department...  

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

9, 2010 - 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...

396

Families First: Keys to Successful Family Functioning Communication  

E-Print Network [OSTI]

Families First: Keys to Successful Family Functioning Communication Rick Peterson, Extension Specialist and Assistant Professor, Department of Human Development, Virginia Tech Stephen Green, Department of Human Development, Virginia Tech www.ext.vt.edu Produced by Communications and Marketing, College

Liskiewicz, Maciej

397

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

398

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

399

President Obama Announces More Key Administration Posts | Department of  

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

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

400

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

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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"}

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

DOE Announces More Key Administration Posts | Department of Energy  

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

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

402

Key Activities in Energy Efficiency | Department of Energy  

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

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

403

Design and evaluation of deer guards for Florida Key Deer  

E-Print Network [OSTI]

Because of increased deer/vehicle collisions involving endangered Florida Key deer (Odocoileus virginianus clavium), the Florida Department of Transportation (FDOT) developed a plan to construct a fence along a portion of US Highway 1 that crosses...

Sebesta, Jason Daryl

2012-06-07T23:59:59.000Z

404

Security of quantum key distribution with arbitrary individual imperfections  

SciTech Connect (OSTI)

We consider the security of the Bennett-Brassard 1984 protocol for quantum key distribution, with arbitrary individual imperfections simultaneously in the source and detectors. We provide the secure key generation rate and show that three parameters must be bounded to ensure security; the basis dependence of the source, a detector-blinding parameter, and a detector leakage parameter. The system may otherwise be completely uncharacterized and contain large losses.

Maroey, Oystein; Lydersen, Lars; Skaar, Johannes [Department of Electronics and Telecommunications, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway and University Graduate Center, NO-2027 Kjeller (Norway)

2010-09-15T23:59:59.000Z

405

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

406

Incorporating the Technology Roadmap Uncertainties into the Project Risk Assessment  

SciTech Connect (OSTI)

This paper describes two methods, Technology Roadmapping and Project Risk Assessment, which were used to identify and manage the technical risks relating to the treatment of sodium bearing waste at the Idaho National Engineering and Environmental Laboratory. The waste treatment technology under consideration was Direct Vitrification. The primary objective of the Technology Roadmap is to identify technical data uncertainties for the technologies involved and to prioritize the testing or development studies to fill the data gaps. Similarly, project management's objective for a multi-million dollar construction project includes managing all the key risks in accordance to DOE O 413.3 - ''Program and Project Management for the Acquisition of Capital Assets.'' In the early stages, the Project Risk Assessment is based upon a qualitative analysis for each risk's probability and consequence. In order to clearly prioritize the work to resolve the technical issues identified in the Technology Roadmap, the issues must be cross- referenced to the project's Risk Assessment. This will enable the project to get the best value for the cost to mitigate the risks.

Bonnema, B.E.

2002-01-16T23:59:59.000Z

407

Incorporating the Technology Roadmap Uncertainties into the Project Risk Assessment  

SciTech Connect (OSTI)

This paper describes two methods, Technology Roadmapping and Project Risk Assessment, which were used to identify and manage the technical risks relating to the treatment of sodium bearing waste at the Idaho National Engineering and Environmental Laboratory. The waste treatment technology under consideration was Direct Vitrification. The primary objective of the Technology Roadmap is to identify technical data uncertainties for the technologies involved and to prioritize the testing or development studies to fill the data gaps. Similarly, project management's objective for a multi-million dollar construction project includes managing all the key risks in accordance to DOE O 413.3 - "Program and Project Management for the Acquisition of Capital Assets." In the early stages, the Project Risk Assessment is based upon a qualitative analysis for each risk's probability and consequence. In order to clearly prioritize the work to resolve the technical issues identified in the Technology Roadmap, the issues must be cross- referenced to the project's Risk Assessment. This will enable the project to get the best value for the cost to mitigate the risks.

Bonnema, Bruce Edward

2002-02-01T23:59:59.000Z

408

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

409

ANALYSIS OF SOLVENT RECOVERED FROM WRIGHT INDUSTRIES, INCORPORATED TESTING  

SciTech Connect (OSTI)

Washington Savannah River Company (WSRC) began designing and building a Modular Caustic Side Solvent Extraction (CSSX) Unit (MCU) at the Savannah River Site (SRS) to process liquid waste for an interim period. The MCU Project Team conducted testing of the contactors, coalescers, and decanters at Wright Industries, Incorporated (WII) in Nashville, Tennessee. That testing used MCU solvent and simulated SRS dissolved salt. Because of the value of the solvent, the MCU Project wishes to recover it for use in the MCU process in the H-Tank Farm. Following testing, WII recovered approximately 62 gallons of solvent (with entrained aqueous) and shipped it to SRS. The solvent arrived in two stainless steel drums. The MCU Project requested SRNL to analyze the solvent to determine whether it is suitable for use in the MCU Process. SRNL analyzed the solvent for Isopar{reg_sign} L by Gas Chromatography--Mass Spectroscopy (GC-MS), for Modifier and BOBCalixC6 by High Pressure Liquid Chromatography (HPLC), and for Isopar{reg_sign} L-to-Modifier ratio by Fourier-Transform Infrared (FTIR) spectroscopy. They also measured the solvent density gravimetrically and used that measurement to calculate the Isopar{reg_sign} L and Modifier concentration. The conclusions from this work are: (1) The constituents of the used WII solvent are collectively low in Isopar{reg_sign} L, most likely due to evaporation. This can be easily corrected through the addition of Isopar{reg_sign} L. (2) Compared to a sample of the WII Partial Solvent (without BOBCalixC6) archived before transfer to WII, the Reworked WII Solvent showed a significant improvement (i.e., nearly doubling) in the dispersion numbers for tests with simulated salt solution and with strip acid. Hence, the presence of the plasticizer impurity has no detrimental impact on phase separation. While there are no previous dispersion tests using the exact same materials, the results seem to indicate that the washing of the solvent gives a dispersion benefit. (3) WII Solvent that underwent a cleaning cycle provides an acceptable set of cesium distribution (i.e., D) values when used in a standard Extraction, Scrub, and Strip (ESS) test.

Poirier, M; Thomas Peters, T; Fernando Fondeur, F; Samuel Fink, S

2007-01-11T23:59:59.000Z

410

The harmonization of Canadian and U.S. window programs and standards. Impact on U-factor and SHGC of differences in simulation styles and assumptions  

SciTech Connect (OSTI)

The thermal performance of a window is currently characterized by the window`s thermal transmittance (U-factor) and its solar heat gain coefficient. The National Fenestration Rating Council (NFRC) has established a system for rating the thermal performance of windows. the U-factor is determined through computer simulation and validated with physical tests. The solar heat gain coefficient is determined for homogeneous products through computer simulation. Test methods exist for measuring solar heat gain through more complex products, although there is currently no standard. Under the NFRC`s rating program, a window must be simulated using the Window 4.1 and Frame 3.1 computer programs. There is some debate as to how accurately these computer programs simulate actual windows. This report addresses the differences in simulation styles and assumptions and what impact these differences have on the U-factor and solar heat gain coefficient. Section 2.0 covers center-of-glass modeling, section 3.0 covers spacer modeling, section 4.0 covers frame modeling, and section 5.0 concludes by weight the relative importance of the assumptions discussed. The focus of this research is on U-factor. For a more detailed study of solar heat gain coefficients refer to Wright (1995). This report also addresses the efficacy of various techniques, such as increasing glazing gap width or applying low-emittance coatings to interior glazing surfaces, at reducing total window U-factors.

NONE

1995-05-31T23:59:59.000Z

411

Incorporation of nanovoids into metallic gratings for broadband plasmonic organic solar cells  

Science Journals Connector (OSTI)

We present investigation and optimization of a newly proposed plasmonic organic solar cell geometry based on the incorporation of nanovoids into conventional rectangular backplane...

Lee, Sangjun; In, SungJun; Mason, Daniel R; Park, Namkyoo

2013-01-01T23:59:59.000Z

412

Voluntary Protection Program Onsite Review, Wackenhut Services, Incorporated- Nevada- May 2008  

Broader source: Energy.gov [DOE]

Evaluation to determine whether Wackenhut Services, Incorporated Nevada is continuing to perform at a level deserving DOE-VPP Star recognition.

413

Quantifying the system balancing cost when wind energy is incorporated into electricity generation system.  

E-Print Network [OSTI]

??Incorporation of wind energy into the electricity generation system requires a detailed analysis of wind speed in order to minimize system balancing cost and avoid (more)

Issaeva, Natalia

2009-01-01T23:59:59.000Z

414

E-Print Network 3.0 - aluminium incorporating al-hf Sample Search...  

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

Solar Cells May See Off Silicon Summary: which involves growing alternate layers of gallium arsenide (GaAs) and aluminium arsenide (Al... be incorporated into. "If you can...

415

Preliminary Assumptions for Wind Technologies  

E-Print Network [OSTI]

of operation Investment Tax Credit (ITC) alternative 30% towards developer's income tax for qualifying solar" prior to 12/31/16 Post-2016, credit drops to 10% - solar PV, geothermal 6 #12;Status of Regional RPS utilities Wind development in the PNW has slowed down significantly compared to the past decade Little new

416

Energy Storage: The Key to a Reliable, Clean Electricity Supply |  

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

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

417

Technology Key to Harnessing Natural Gas Potential | Department of Energy  

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

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

418

Sierra Geothermal's Key Find in Southern Nevada | Department of Energy  

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

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

419

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

420

Sierra Geothermal's Key Find in Southern Nevada | Department of Energy  

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

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

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

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.

422

Managing Supply Chain Key for Hawaii Appliance Rebate Program | Department  

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

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

423

Managing Supply Chain Key for Hawaii Appliance Rebate Program | Department  

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

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

424

Energy Storage: The Key to a Reliable, Clean Electricity Supply |  

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

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

425

Single, Key Gene Discovery Could Streamline Production of Biofuels |  

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

Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels August 11, 2011 - 3:51pm Addthis WASHINGTON, DC -- A team of researchers at the Department of Energy's BioEnergy Science Center (BESC) have pinpointed the exact, single gene that controls ethanol production capacity in a microorganism. This discovery could be the missing link in developing biomass crops that produce higher concentrations of ethanol at lower costs. "The Department of Energy relies on the scientific discoveries of its labs and research centers to improve the production of clean energy sources," said Energy Secretary Steven Chu. "This discovery is an important step in developing biomass crops that could increase yield of

426

Building MRV Standards and Capacity in Key Countries | Open Energy  

Open Energy Info (EERE)

MRV Standards and Capacity in Key Countries MRV Standards and Capacity in Key Countries Jump to: navigation, search Name Building MRV Standards and Capacity in Key Countries Agency/Company /Organization World Resources Institute (WRI) Sector Climate Focus Area Renewable Energy Topics Implementation Website http://www.wri.org/topics/mrv Program Start 2011 Program End 2014 Country Brazil, Colombia, Ethiopia, India, South Africa, Thailand South America, South America, Eastern Africa, Southern Asia, Southern Africa, South-Eastern Asia References World Resources Institute (WRI)[1] Program Overview Developing countries will be required to measure, report, and verify (MRV) mitigation actions according to international guidelines, but few have the capacity to do so. The goal of this project is to build the capacity of a

427

Florida Keys El Coop Assn, Inc | Open Energy Information  

Open Energy Info (EERE)

Keys El Coop Assn, Inc Keys El Coop Assn, Inc Jump to: navigation, search Name Florida Keys El Coop Assn, Inc Place Florida Utility Id 6443 Utility Location Yes Ownership C NERC Location FRCC NERC FRCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Rate Code 1 - Residential Service Residential Rate Code 2 - Commercial Service (General Service Non-Demand) Commercial Rate Code 3 - Commercial Service (General Service Demand) Commercial Average Rates Residential: $0.1210/kWh Commercial: $0.1220/kWh Industrial: $0.1140/kWh

428

Turn Your Key, Be Idle Free | Department of Energy  

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

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

429

Ariz. Rooftops Key to Unlocking the Potential of Distributed Solar |  

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

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

430

Field Test of Measurement-Device-Independent Quantum Key Distribution  

E-Print Network [OSTI]

A main type of obstacles of practical applications of quantum key distribution (QKD) network is various attacks on detection. Measurement-device-independent QKD (MDIQKD) protocol is immune to all these attacks and thus a strong candidate for network security. Recently, several proof-of-principle demonstrations of MDIQKD have been performed. Although novel, those experiments are implemented in the laboratory with secure key rates less than 0.1 bps. Besides, they need manual calibration frequently to maintain the system performance. These aspects render these demonstrations far from practicability. Thus, justification is extremely crucial for practical deployment into the field environment. Here, by developing an automatic feedback MDIQKD system operated at a high clock rate, we perform a field test via deployed fiber network of 30 km total length, achieving a 16.9 bps secure key rate. The result lays the foundation for a global quantum network which can shield from all the detection-side attacks.

Yan-Lin Tang; Hua-Lei Yin; Si-Jing Chen; Yang Liu; Wei-Jun Zhang; Xiao Jiang; Lu Zhang; Jian Wang; Li-Xing You; Jian-Yu Guan; Dong-Xu Yang; Zhen Wang; Hao Liang; Zhen Zhang; Nan Zhou; Xiongfeng Ma; Teng-Yun Chen; Qiang Zhang; Jian-Wei Pan

2014-08-11T23:59:59.000Z

431

Quantum-Secure Authentication with a Classical Key  

E-Print Network [OSTI]

Authentication provides the trust people need to engage in transactions. The advent of physical keys that are impossible to copy promises to revolutionize this field. Up to now, such keys have been verified by classical challenge-response protocols. Such protocols are in general susceptible to emulation attacks. Here we demonstrate Quantum-Secure Authentication ("QSA") of an unclonable classical physical key in a way that is inherently secure by virtue of quantum-physical principles. Our quantum-secure authentication operates in the limit of a large number of channels, represented by the more than thousand degrees of freedom of an optical wavefront shaped with a spatial light modulator. This allows us to reach quantum security with weak coherent pulses of light containing dozens of photons, too few for an adversary to determine their complex spatial shapes, thereby rigorously preventing emulation.

Sebastianus A. Goorden; Marcel Horstmann; Allard P. Mosk; Boris kori?; Pepijn W. H. Pinkse

2014-06-03T23:59:59.000Z

432

Security Proof of a Semi-Quantum Key Distribution Protocol  

E-Print Network [OSTI]

Semi-quantum key distribution protocols are designed to allow two users to establish a secure secret key when one of the two users is limited to performing certain "classical" operations. There have been several such protocols developed recently, however, due to their reliance on a two-way quantum communication channel (and thus, the attacker's opportunity to interact with the qubit twice), their security analysis is difficult and little is known concerning how secure they are compared to their fully quantum counterparts. In this paper we prove the unconditional security of a particular semi-quantum protocol. We derive an expression for the key rate of this protocol, in the asymptotic scenario, as a function of the quantum channel's noise. Finally, we will show that this semi-quantum protocol can tolerate a maximal noise level comparable to certain fully quantum protocols.

Walter O. Krawec

2014-11-30T23:59:59.000Z

433

Property:Specializations, Capabilities, and Key Facility Attributes Not  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Specializations, Capabilities, and Key Facility Attributes Not Covered Elsewhere Jump to: navigation, search Property Name Specializations, Capabilities, and Key Facility Attributes Not Covered Elsewhere Property Type Text Pages using the property "Specializations, Capabilities, and Key Facility Attributes Not Covered Elsewhere" Showing 25 pages using this property. 1 11-ft Wave Flume Facility + Glass window 6 6-ft Wave Flume Facility + Glass window A Alden Large Flume + This is a recirculating flume facility, so a constant velocity can be maintained indefinitely. This allows collection of a much greater amount of data than possible in tow tanks. Alden's biologists are highly experienced in assessing the impacts of generation devices on fish and the facilities allow for accurate testing with fish in a highly controlled environment.

434

Special Presentation: Key Findings from the Barrier Immune Radio  

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

Special Presentation: Key Findings from the Barrier Immune Radio Special Presentation: Key Findings from the Barrier Immune Radio Communications Project Speaker(s): Francis Rubinstein Girish Ghatikar Peter Haugen Date: November 29, 2007 - 12:00pm Location: 90-3122 The Barrier Immune Radio Communications (BIRC) Project was established in January 2007 by the Demand Response Emerging Technologies Program (DRETD) to identify radio frequency technologies that could enable the widespread deployment of Demand Response strategies in buildings. Researchers from Lawrence Berkeley National Laboratory and Lawrence Livermore National Laboratory will present the key findings from this project in a one-hour presentation. Researchers found that several of the RF technologies tested at LBNL's Molecular Foundry building were able to provide sufficiently

435

Small Businesses Key in Hydropower Tech Advancement | Department of Energy  

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

Businesses Key in Hydropower Tech Advancement Businesses Key in Hydropower Tech Advancement Small Businesses Key in Hydropower Tech Advancement September 6, 2011 - 2:59pm Addthis Earlier today, the Department of Energy and the Department of Interior announced nearly $17 million in funding over the next three years to advance hydropower technology. The funding announced today will go to sixteen innovative projects around the country, including sustainable small hydro projects, like the ones from Hydro Green Energy, a small business that handles hydroelectric power generation and power and communication line construction. The company, which has eight employees currently, has been awarded funding for two projects. Near Space Systems, a Colorado Springs-based company, is a service-disabled veteran-owned business with a manufacturing focus that's

436

Energy Critical Infrastructure and Key Resources Sector-Specific  

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

Energy Energy Critical Infrastructure and Key Resources Sector-Specific Plan as input to the National Infrastructure Protection Plan (Redacted) May 2007 Department of Energy Energy Sector Government Coordinating Council Letter of Support i ii Energy Sector-Specific Plan (Redacted) Energy Sector Coordinating Councils Letter of Concurrence The National Infrastructure Protection Plan (NIPP) provides the unifying structure for the integration of federal critical infrastructures and key resources (CI/KR) protection efforts into a single national program. The NIPP includes an overall framework integrating federal programs and activities that are currently underway in the various sectors, as well as new and developing CI/KR protection efforts. The Energy

437

LEDSGP/Transportation Toolkit/Key Actions | Open Energy Information  

Open Energy Info (EERE)

Actions Actions < LEDSGP‎ | Transportation Toolkit Jump to: navigation, search LEDSGP Logo.png Transportation Toolkit Home Tools Training Contacts Key Actions for Low-Emission Development in Transportation Although no single approach or fixed process exists for low-emission development strategies (LEDS), the following key actions are necessary steps for implementing LEDS in the transportation sector. Undertaking these actions requires flexibility to adapt to dynamic societal conditions in a way that complements existing climate and development goals in other sectors. Planners, researchers, and decision-makers should customize this LEDS implementation framework for the specific conditions of their transport sector, choosing from relevant resources to achieve a comprehensive action

438

Quantum key distribution with passive decoy state selection  

Science Journals Connector (OSTI)

We propose a quantum key distribution scheme which closely matches the performance of a perfect single photon source. It nearly attains the physical upper bound in terms of key generation rate and maximally achievable distance. Our scheme relies on a practical setup based on a parametric downconversion source and present day, nonideal photon-number detection. Arbitrary experimental imperfections which lead to bit errors are included. We select decoy states by classical postprocessing. This allows one to improve the effective signal statistics and achievable distance.

Wolfgang Mauerer and Christine Silberhorn

2007-05-31T23:59:59.000Z

439

Enhanced carbon dioxide capture upon incorporation of -dimethylethylenediamine in the metalorganic framework CuBTTri  

E-Print Network [OSTI]

Enhanced carbon dioxide capture upon incorporation of N,N0 -dimethylethylenediamine in the metal-combustion carbon dioxide capture will be judged. The incorporation of N,N0 -dimethylethylenediamine (mmen) into H3-combustion carbon capture, has been exten- sively studied in porous solids.1 The majority of solid surfaces

440

AC 2010-863: POSTER, INCORPORATING ENGINEERING DESIGN INTO ELEMENTARY SCHOOL SCIENCE CURRICULA  

E-Print Network [OSTI]

AC 2010-863: POSTER, INCORPORATING ENGINEERING DESIGN INTO ELEMENTARY SCHOOL SCIENCE CURRICULA Academy of Sciences, which reports that the number of students who have had formal engineering education Marulcu, Boston College © American Society for Engineering Education, 2010 #12;Incorporating Engineering

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

Hydrogen and minor element incorporation in synthetic rutile G. D. BROMILEY  

E-Print Network [OSTI]

Hydrogen and minor element incorporation in synthetic rutile G. D. BROMILEY 1,2, * AND N. HILAIRET from substitutional defects. KEYWORDS: rutile, hydrogen, substitution, solubility, spectroscopy of lower- valence cations may be charge-balanced by incorporation of hydrogen in the rutile structure

442

1/17/12 The Risks Of "Key Recovery," "Key Escrow," And "Trusted Third-Party" Encryption | 1998 1/24www.cdt.org/crypto/risks98/  

E-Print Network [OSTI]

and substantively unchallenged: The deployment of key recovery systems designed to facilitate surreptitious

Goldwasser, Shafi

443

Preliminary Notice of Violation, EG&G Incorporated - EA-97-10 | Department  

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

EG&G Incorporated - EA-97-10 EG&G Incorporated - EA-97-10 Preliminary Notice of Violation, EG&G Incorporated - EA-97-10 October 21, 1997 Preliminary Notice of Violation issued to EG&G Incorporated, related to Bioassay and Internal Dosimetry Program Deficiencies at the Mound Plant, (EA-97-10) This letter refers to the Department of Energy's (DOE) evaluation of the facts and circumstances surrounding a number of potential programmatic deficiencies involving the administration of the Mound Plant's bioassay program and methodologies used for determining and assigning internal radiation doses to workers. Preliminary Notice of Violation, EG&G Incorporated - EA-97-10 More Documents & Publications Preliminary Notice of Violation, Babcock & Wilcox of Ohio, Inc - EA-98-12

444

The Effects of Anchor Length, Test Difficulty, Population Ability Differences, Mixture of Populations and Sample Size on the Psychometric Properties of Levine Observed Score Linear Equating Method for Different Assumptions  

E-Print Network [OSTI]

+ b?A, and ?Y = c + d?A. i.e. the true scores of X and A and Y and A are linearly related. This is the congenericity assumption. However, the two sets differ on the third assumption that they make. For the first set, the third assumption is L3... is equity, which states that it must be a matter of indifference to the test taker whether he or she takes X or Y. Although equatability is a prerequisite for equity, it does not imply equity because two tests that measure the same construct can differ...

Carvajal, Jorge E.

2011-02-15T23:59:59.000Z

445

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 (OSTI)

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

446

KeyTex Energy LLC | Open Energy Information  

Open Energy Info (EERE)

KeyTex Energy LLC KeyTex Energy LLC Jump to: navigation, search Name KeyTex Energy LLC Place Greensburg, Pennsylvania Zip 15601 Product KeyTex Energy is a full service energy and consulting company, helping businesses implement both wholesale and retail strategies to control and reduce energy costs as well as manage the risks and complexities associated with the energy markets. Coordinates 40.299245°, -79.543159° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.299245,"lon":-79.543159,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

447

Putting cancer in focusPathologists key to picking the  

E-Print Network [OSTI]

Putting cancer in focusPathologists key to picking the right path to a cure momentum IN THIS ISSUE without cancer. #12;EDITOR Heather Newman DESIGN Diana Duren DIRECTOR OF PUBLICATIONS Wayne Wood ASSOCIATE / Photo Researchers, Inc. EDITORIAL OFFICE Vanderbilt-Ingram Cancer Center 691 Preston Building Nashville

Eichman, Brandt F.

448

Key words: STREAMLINE, yeast, scale up, automation, sanitization.  

E-Print Network [OSTI]

adsorption by defining a realistic process example at small scale and taking it all the way up to a fullyKey words: STREAMLINE, yeast, scale up, automation, sanitization. Abstract This application note was evaluated by performing a sanitization study in which the column and system were challenged with culture

Lebendiker, Mario

449

The Seven Keys to Success in Energy Management and Conservation  

E-Print Network [OSTI]

This paper is a summary of the seven key elements of the Deere & Company Energy Management and Conservation Program. These elements have been found to be essential for the ultimate success of any company-wide energy management program. The process...

Darby, D. F.

1984-01-01T23:59:59.000Z

450

SETTING INITIAL SECRET KEYS IN A MOBILE AD HOC NETWORK  

E-Print Network [OSTI]

SETTING INITIAL SECRET KEYS IN A MOBILE AD HOC NETWORK Murat Cihan1 and C¸etin Kaya Ko¸c2,3 1 I@eecs.oregonstate.edu Abstract. Mobile ad hoc networks require specialized authentication protocols due to the mobility of users and lack of always-available trusted servers. There are a variety of mobile ad hoc authentication protocols

451

Global warming triggers the loss of a key Arctic refugium  

Science Journals Connector (OSTI)

...research-article Research articles 1001 69 60 Global warming triggers the loss of a key Arctic...change that is being driven by global warming. In stark contrast to the amplified...planet's last Arctic refugia from global warming, largely because of the moderating...

2013-01-01T23:59:59.000Z

452

Key Title Marine Ecology www.wiley.com  

E-Print Network [OSTI]

biodiversity Chapter 11. Environmental forcing and Southern Ocean marine predator populations: effects in marine ectotherms: an integrative view Chapter 14. Evolution and biodiversity of Antarctic organismsKey Title Marine Ecology www.wiley.com Antarctic Ecosystems: An Extreme Environment in a Changing

Wall, Diana

453

Cedar Key Aquaculture Workshop Sulfide Concentrations in Sediments  

E-Print Network [OSTI]

Cedar Key Aquaculture Workshop Sulfide Concentrations in Sediments and Water: Influence on Hard;ObjectivesObjectives Examine sediment sulfide levels in the SuwanneeExamine sediment sulfide levels of sulfide on hard clam survivalsurvival #12;MethodsMethods SedimentSediment porewaterporewater samples

Florida, University of

454

Securely Managing Cryptographic Keys used within a Cloud Environment  

E-Print Network [OSTI]

to rapidly develop/host cloud applications Infrastructure as a Service (Iaas) - Networked access to processing power, storage Cloud Deployment Models Public Cloud Private Cloud Community Cloud Hybrid administers the Cloud Infrastructure? Who has access to my data? My activity history? Key Management Where

455

TICKS: KEY TO GENERA IN UNITED STATES Harry D. Pratt  

E-Print Network [OSTI]

·38 TICKS: KEY TO GENERA IN UNITED STATES Harry D. Pratt I Capitulum inferior; scutum absent. without definite sutural line. anus, indistinct, or absent. j ~ I lated .... ~ :. / ORNITHODOROS I ment Mouthparts much longer than ..~".'LJv--_, .0",,,,L } }_..., ---'~':r,.-.__.{ Mouthparts as long as basis

456

Cold Boot Key Recovery by Solving Polynomial Systems with Noise  

E-Print Network [OSTI]

Cold Boot Key Recovery by Solving Polynomial Systems with Noise Martin Albrecht and Carlos Cid 1 proposed in [9]; the technique was called Cold Boot attacks. When considering block ciphers Cold Boot attacks, was proposed in [9] and also provided an insight into the strength of a particular

Sheldon, Nathan D.

457

Essentials of Energy Key concepts for the day  

E-Print Network [OSTI]

Essentials of Energy 4/14/05 Key concepts for the day Markets monopoly Substitution volatility Energy intensity Levelized costs externalities I. Market essentials Are there working energy markets: how to manage short term markets in order to get the benefits of long term market #12;Energy

458

news and views A key issue for hydrogen storage materi-  

E-Print Network [OSTI]

news and views A key issue for hydrogen storage materi- als is that the hydrogenation and dehydro be possible to discover stable hydrogen hydrates with higher storage Hydrogen Posture Plan www.eere.energy.gov/hydrogenandfuelcells/pdfs/ hydrogen_posture_plan.pdf 7. Kuhs, W

Palumbi, Stephen

459

BERNAL and RESTREPO Key issues for decentralization in municipal  

E-Print Network [OSTI]

BERNAL and RESTREPO Key issues for decentralization in municipal wastewater treatment Diana Paola, the inadequate management and disposal of wastewater and the implementation of sophisticated treatment systems is the decentralisation in wastewater treatment. In this article, it is proposed an overview of the state of the art

Boyer, Edmond

460

OFFICE OF SPONSORED PROGRAMS KEY RESOURCE INFORMATION Official School Name  

E-Print Network [OSTI]

Point on Hudson, Hoboken, NJ 07030-5991 Type of Business: Corporation, Institution of Higher Education Higher Education Student Assistance Authority Vendor Number 22148735400 Human Subjects IRB No's: #12OFFICE OF SPONSORED PROGRAMS KEY RESOURCE INFORMATION Official School Name Trustees of Stevens

Yang, Eui-Hyeok

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

Using Key Performance Indicators to Manage Energy Costs  

E-Print Network [OSTI]

-effective to collect much more data than ever before, many energy managers find themselves drowning in the volume of data generated. Business information systems faced a similar challenge a decade ago, and it is now common practice to use Key Performance Indicators...

Van Gorp, J. C.

2005-01-01T23:59:59.000Z

462

Extracting Key Factors to Design Applications in Ambient Intelligence Environment  

Science Journals Connector (OSTI)

In an ambient intelligence environment, the design of applications influences the users behavior heavily. The purpose of this paper is to provide key factors considered necessary in developing those applications. We developed four applications applied ... Keywords: ambient feedback, persuasive technology, behavior modification, emotional engagement

Hiroaki Kimura; Tatsuo Nakajima

2008-12-01T23:59:59.000Z

463

Architecture of the Secoqc Quantum Key Distribution network  

E-Print Network [OSTI]

The European projet Secoqc (Secure Communication based on Quantum Cryptography) aims at developing a global network for unconditionally secure key distribution. This paper specifies the requirements and presents the principles guiding the design of this network, and relevant to its architecture and protocols.

Mehrdad Dianati; Romain Alleaume

2006-10-25T23:59:59.000Z

464

Gender: Male Address: The State Key Laboratory of Fluid Power  

E-Print Network [OSTI]

of this simulation system at the first two years. My works focused on the design of power conversion and mechanical, Canjun Yang, Dejun Li, Bo Jin, Ying Chen. Study on 10kVDC powered junction box for cabled oceanYanHu Chen Gender: Male Address: The State Key Laboratory of Fluid Power Transmission and Control

Frandsen, Jannette B.

465

Atmospheric Carbon Dioxide and the Global Carbon Cycle: The Key Uncertainties  

DOE R&D Accomplishments [OSTI]

The biogeochemical cycling of carbon between its sources and sinks determines the rate of increase in atmospheric CO{sub 2} concentrations. The observed increase in atmospheric CO{sub 2} content is less than the estimated release from fossil fuel consumption and deforestation. This discrepancy can be explained by interactions between the atmosphere and other global carbon reservoirs such as the oceans, and the terrestrial biosphere including soils. Undoubtedly, the oceans have been the most important sinks for CO{sub 2} produced by man. But, the physical, chemical, and biological processes of oceans are complex and, therefore, credible estimates of CO{sub 2} uptake can probably only come from mathematical models. Unfortunately, one- and two-dimensional ocean models do not allow for enough CO{sub 2} uptake to accurately account for known releases. Thus, they produce higher concentrations of atmospheric CO{sub 2} than was historically the case. More complex three-dimensional models, while currently being developed, may make better use of existing tracer data than do one- and two-dimensional models and will also incorporate climate feedback effects to provide a more realistic view of ocean dynamics and CO{sub 2} fluxes. The instability of current models to estimate accurately oceanic uptake of CO{sub 2} creates one of the key uncertainties in predictions of atmospheric CO{sub 2} increases and climate responses over the next 100 to 200 years.

Peng, T. H.; Post, W. M.; DeAngelis, D. L.; Dale, V. H.; Farrell, M. P.

1987-12-00T23:59:59.000Z

466

Finite-key-size security of the Phoenix-Barnett-Chefles 2000 quantum-key-distribution protocol  

Science Journals Connector (OSTI)

The postselection technique was introduced by Christandl, Knig, and Renner [Phys. Rev. Lett. 102, 020504 (2009)] in order to simplify the security of quantum-key-distribution schemes. Here, we present how it can be applied to study the security of the Phoenix-Barnett-Chefles 2000 trine-state protocol, a symmetric version of the Bennett 1992 protocol.

Mhlambululi Mafu, Kevin Garapo, and Francesco Petruccione

2014-09-08T23:59:59.000Z

467

Journal of Peasant Studies 37(4), 2010, forthcoming [version that was sent to the journal for production] Franco et al_EU biofuels_JPS_prodn-corr, 21/07/2010 Assumptions in the European Union biofuels policy:  

E-Print Network [OSTI]

The biofuel project is an agro-industrial development and politically contested policy process where governments increasingly become global actors. European Union (EU) biofuels policy rests upon arguments about societal benefits of three main kinds namely, environmental protection (especially greenhouse gas savings), energy security and rural development, especially in the global South. Each argument involves optimistic assumptions about what the putative benefits mean and how they can be fulfilled. After examining those assumptions, we

unknown authors

468

Analytical frameworks to incorporate demand response in long-term resource planning  

Science Journals Connector (OSTI)

Abstract Many utilities are obligated by state regulatory or legislative requirements to consider demand response (DR) as part of their resource planning process. There are several ways to incorporate DR into resource planning modeling and each has its advantages and disadvantages. We explore the current analytical frameworks for incorporating DR into long-term resource planning. We also consider whether current approaches accurately and realistically model DR resources in capacity expansion and production cost models and whether barriers exist to incorporating DR into resource planning models in a more robust fashion. We identify 10 specific recommendations for enhancing and expanding the current approaches.

Andrew Satchwell; Ryan Hledik

2014-01-01T23:59:59.000Z

469

Key West, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

(Redirected from Key West, FL) (Redirected from Key West, FL) Jump to: navigation, search Equivalent URI DBpedia Coordinates 24.5557025°, -81.7825914° 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":24.5557025,"lon":-81.7825914,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

470

Thailand-Key Results and Policy Recommendations for Future Bioenergy  

Open Energy Info (EERE)

and Policy Recommendations for Future Bioenergy and Policy Recommendations for Future Bioenergy Development Jump to: navigation, search Name Thailand-Key Results and Policy Recommendations for Future Bioenergy Development Agency/Company /Organization Food and Agriculture Organization of the United Nations Sector Land Focus Area Biomass, Agriculture Topics Co-benefits assessment, Policies/deployment programs, Background analysis Resource Type Lessons learned/best practices Website http://www.fao.org/docrep/013/ Country Thailand UN Region South-Eastern Asia References Thailand-Key Results and Policy Recommendations for Future Bioenergy Development[1] Abstract "The Government of Thailand, through its Alternative Energy Development Plan, has set a target to increase biofuel production to five billion

471

President Obama Announces More Key Administration Posts | Department of  

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

August 2, 2011 - 9:20pm August 2, 2011 - 9:20pm Addthis WASHINGTON - Today, President Barack Obama announced his intent to nominate the following individuals to key Administration posts: Ashton B. Carter - Nominee for Deputy Secretary of Defense, Department of Defense I. Charles McCullough III - Inspector General of the Intelligence Community, Office of the Director of National Intelligence Ernest Mitchell, Jr. - Administrator, United States Fire Administration, Federal Emergency Management Agency, Department of Homeland Security Nancy M. Ware - Director, Court Services and Offender Supervision Agency for the District of Columbia Gregory H. Woods - General Counsel, Department of Energy The President also announced his intent to appoint the following individuals to key Administration posts:

472

President Obama Announces More Key Administration Posts | Department of  

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

July 27, 2011 - 3:25pm July 27, 2011 - 3:25pm Addthis WASHINGTON - Today, President Barack Obama announced his intent to nominate the following individuals to key Administration posts: David Danielson - Assistant Secretary for Energy Efficiency and Renewable Energy, Department of Energy Dot Harris - Director of the Office of Minority Economic Impact, Department of Energy President Obama said, "I am honored that these talented individuals have decided to join this Administration and serve our country. I look forward to working with them in the months and years to come." President Obama announced his intent to nominate the following individuals to key Administration posts: David Danielson, Nominee for Assistant Secretary for Energy Efficiency and Renewable Energy, Department of Energy

473

Key Accomplishments @ Catalysis: Reactivity and Structure Group | Chemistry  

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

Recent Key Accomplishments Recent Key Accomplishments WGS: Importance of the Metal-Oxide Interface in Catalysis: In Situ Studies of the Water-Gas Shift Reaction by Ambient-Pressure X-ray Photoelectron Spectroscopy A New Type of Strong Metal-Support Interaction and the Production of H-2 through the Transformation of Water on Pt/CeO2(111) and Pt/CeOx/TiO2(110) Catalysts In situ studies of CeO2-supported Pt, Ru, and Pt-Ru alloy catalysts for the water-gas shift reaction: Active phases and reaction intermediates In situ/operando studies for the production of hydrogen through the water-gas shift on metal oxide catalysts Mechanistic understanding of WGS catalysts from first principles: Au(111) Supported Oxide Nanoparticles Theoretical catalyst optimization of WGS catalysts: Cu(111) supported oxide nanostructures

474

Contributions to Key Energy Conversion Technologies and Advanced Methods  

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

Contributions to Key Energy Conversion Technologies and Advanced Methods Contributions to Key Energy Conversion Technologies and Advanced Methods for Optimum Energy Systems Design and Planning Speaker(s): Daniel Favrat Date: February 27, 2003 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Kristina LaCommare This presentation reviews some of EPFL-LENI's recent contributions to advanced cogeneration and heat pump technologies as well as to new system design approaches based on multimodal evolutionar algorithms. In the field of cogeneration, theoretical and experimental results show that gas engines with unscavenged ignition prechambers can, without the need of a catalyst, achieve high efficiencies with reasonable emissions with both natural gas and biogas. Combination with Organic Rankine Cycle (ORC) heat recovery

475

President Obama Announces More Key Administration Posts | Department of  

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

January 23, 2012 - 8:28pm January 23, 2012 - 8:28pm Addthis THE WHITE HOUSE Office of the Press Secretary FOR IMMEDIATE RELEASE January 23, 2012 President Obama Announces More Key Administration Posts WASHINGTON - Today, President Barack Obama announced his intent to nominate the following individuals to key Administration posts: Erin C. Conaton - Under Secretary of Defense for Personnel and Readiness, Department of Defense Scott H. DeLisi - Ambassador to the Republic of Uganda, Department of State Deborah Delisle - Assistant Secretary for Elementary and Secondary Education, Department of Education Tracey Ann Jacobson - Ambassador to the Republic of Kosovo, Department of State James J. Jones - Assistant Administrator for Toxic Substances, Environmental Protection Agency Frank Kendall III - Under Secretary of Defense for Acquisition,

476

Quantum hacking on quantum key distribution using homodyne detection  

Science Journals Connector (OSTI)

Imperfect devices in commercial quantum key distribution systems open security loopholes that an eavesdropper may exploit. An example of one such imperfection is the wavelength-dependent coupling ratio of the fiber beam splitter. Utilizing this loophole, the eavesdropper can vary the transmittances of the fiber beam splitter at the receiver's side by inserting lights with wavelengths different from what is normally used. Here, we propose a wavelength attack on a practical continuous-variable quantum key distribution system using homodyne detection. By inserting light pulses at different wavelengths, this attack allows the eavesdropper to bias the shot-noise estimation even if it is done in real time. Based on experimental data, we discuss the feasibility of this attack and suggest a prevention scheme by improving the previously proposed countermeasures.

Jing-Zheng Huang; Sbastien Kunz-Jacques; Paul Jouguet; Christian Weedbrook; Zhen-Qiang Yin; Shuang Wang; Wei Chen; Guang-Can Guo; Zheng-Fu Han

2014-03-05T23:59:59.000Z

477

Secure password-based authenticated key exchange for web services  

SciTech Connect (OSTI)

This paper discusses an implementation of an authenticated key-exchange method rendered on message primitives defined in the WS-Trust and WS-SecureConversation specifications. This IEEE-specified cryptographic method (AuthA) is proven-secure for password-based authentication and key exchange, while the WS-Trust and WS-Secure Conversation are emerging Web Services Security specifications that extend the WS-Security specification. A prototype of the presented protocol is integrated in the WSRF-compliant Globus Toolkit V4. Further hardening of the implementation is expected to result in a version that will be shipped with future Globus Toolkit releases. This could help to address the current unavailability of decent shared-secret-based authentication options in the Web Services and Grid world. Future work will be to integrate One-Time-Password (OTP) features in the authentication protocol.

Liang, Fang; Meder, Samuel; Chevassut, Olivier; Siebenlist, Frank

2004-11-22T23:59:59.000Z

478

Quantum Hacking on Quantum Key Distribution using Homodyne Detection  

E-Print Network [OSTI]

Imperfect devices in commercial quantum key distribution systems open security loopholes that an eavesdropper may exploit. An example of one such imperfection is the wavelength dependent coupling ratio of the fiber beam splitter. Utilizing this loophole, the eavesdropper can vary the transmittances of the fiber beam splitter at the receiver's side by inserting lights with wavelengths different from what is normally used. Here, we propose a wavelength attack on a practical continuous-variable quantum key distribution system using homodyne detection. By inserting light pulses at different wavelengths, this attack allows the eavesdropper to bias the shot noise estimation even if it is done in real time. Based on experimental data, we discuss the feasibility of this attack and suggest a prevention scheme by improving the previously proposed countermeasures.

Jing-Zheng Huang; Sbastien Kunz-Jacques; Paul Jouguet; Christian Weedbrook; Zhen-Qiang Yin; Shuang Wang; Wei Chen; Guang-Can Guo; Zheng-Fu Han

2014-02-27T23:59:59.000Z

479

THIS GUIDE IS INTENDED TO PROVIDE KEY INFORMATION to  

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

THIS GUIDE IS INTENDED TO PROVIDE KEY INFORMATION to 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 efficiency goals and standards. In addition, this guide will help instruct policy makers on how they can: » Encourage the adoption of statewide codes. » Establish energy code awareness programs. » Support enforcement of and compliance with energy codes. » Participate in the development of national codes and standards. » Determine the viability of the new code. Building TECHnOlOgiES PROgRAM Resource Guide for Policy Makers PREPAREd By Building Energy Codes Program The u.S. department of Energy's (uSdOE) Building Energy Codes Program (BECP) is an information resource on national energy codes. They work with other government

480

Keys to Profitable Texas Sweet Potato Production, Storage and Marketing.  

E-Print Network [OSTI]

8 8 8 8-1274 Texas Agricultural Extension Service. The Texas A&M UniverSity System . Daniel C. Pfannstlel, Director . College Station, Texas ACKNOWLEDGMENT The authors acknowledge the contribution to this publication by Dr. Charles Cole, area... Extension entomologist. KEYS TO PROFITABLE TEXAS SWEET POTATO PRODUCTION, STORAGE AND MARKETING Roland E. Roberts, Thomas D. Longbrake, Sam Cotner, Terry Menges, B. Dean McCraw and Donald R. Paterson* Texas growers and shippers produced more than 1...

Roberts, Roland E.; Longbrake, Thomas D.; Cotner, Sam; Menges, Terry; McCraw, B. Dean; Paterson, Donald R.

1979-01-01T23:59:59.000Z

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.


481

Economy key to 1992 U. S. oil, gas demand  

SciTech Connect (OSTI)

This paper provides a forecast US oil and gas markets and industry in 1992. An end to economic recession in the U.S. will boost petroleum demand modestly in 1992 after 2 years of decline. U.S. production will resume its slide after a fractional increase in 1991. Drilling in the U.S. will set a record low. Worldwide, the key questions are economic growth and export volumes from Iraq, Kuwait, and former Soviet republics.

Beck, R.J.

1992-01-27T23:59:59.000Z

482

Key Elements of and Materials Performance Targets for Highly Insulating  

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

Key Elements of and Materials Performance Targets for Highly Insulating Key Elements of and Materials Performance Targets for Highly Insulating Window Frames Title Key Elements of and Materials Performance Targets for Highly Insulating Window Frames Publication Type Journal Article LBNL Report Number LBNL-5099E Year of Publication 2011 Authors Gustavsen, Arlid, Steinar Grynning, Dariush K. Arasteh, Bjørn Petter Jelle, and Howdy Goudey Journal Energy and Buildings Volume 43 Issue 10 Pagination 2583-2594 Date Published 10/2011 Keywords Fenestration, heat transfer modeling, thermal performance, thermal transmittance, u-factor, window frames Abstract The thermal performance of windows is important for energy efficient buildings. Windows typically account for about 30-50 percent of the transmission losses though the building envelope, even if their area fraction of the envelope is far less. The reason for this can be found by comparing the thermal transmittance (U-factor) of windows to the U-factor of their opaque counterparts (wall, roof and floor constructions). In well insulated buildings the U-factor of walls, roofs an floors can be between 0.1-0.2 W/(m2K). The best windows have U-values of about 0.7-1.0. It is therefore obvious that the U-factor of windows needs to be reduced, even though looking at the whole energy balance for windows (i.e. solar gains minus transmission losses) makes the picture more complex.

483

New Approach to Quantum Key Distribution Via Quantum Encryption  

E-Print Network [OSTI]

In this Paper, we investigate the security of Zhang, Li and Guo quantum key distribution via quantum encryption protocol [$\\text{Phys. Rev. A} \\textbf{64}, 24302 (2001)$] and show that it is not secure against some of Eve's attacks and with the probability one half she gets all of keys without being detected by the two parties. The main defect in this protocol is that there is an attack strategy by which Eve can change the previously shared Bell state between Alice and Bob to two Bell states among herself and Alice and Bob. Hence, we show that with probability $1/d$ its generalization to $d$-dimension systems is not secure and show that its extension to the case of more partners based on the reusable GHZ states is not secure and with probability one half Eve gets all of keys without being detected by the two parties. In what follows, we show how in going to higher dimensions those protocols can be repaired.

A. Fahmi

2006-04-25T23:59:59.000Z

484

Instability modelling of drumlin formation incorporating lee-side cavity growth  

Science Journals Connector (OSTI)

...perturbations of the uniform flat state analytically...assumptions concerning the rheology of till. More recently...Fourier transform. We can invert these results using the...state in which the bed is flat is then unstable on the...deformation beneath glaciers: rheology and geological consequences...

2009-01-01T23:59:59.000Z

485

E-Print Network 3.0 - access technologies key Sample Search Results  

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

electronic identifier (IdentiKey) including access and password requirements, account lockout... that are accessed using a university electronic identifier or IdentiKey. The...

486

A Comparison of Key PV Backsheet and Module Properties from Fielded...  

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

of Key PV Backsheet and Module Properties from Fielded Module Exposures and Accelerated Test Conditions A Comparison of Key PV Backsheet and Module Properties from Fielded Module...

487

Preliminary Notice of Violation, Fluor Hanford, Incorporated - EA-2002-03 |  

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

Hanford, Incorporated - Hanford, Incorporated - EA-2002-03 Preliminary Notice of Violation, Fluor Hanford, Incorporated - EA-2002-03 August 12, 2002 Preliminary Notice of Violation issued to Fluor Hanford, Incorporated, related to Quality Assurance issues at the Hanford Site. This letter refers to the Department of Energy's (DOE) investigation of the facts and circumstances concerning quality assurance issues affecting nuclear safety surrounding the discrepant nondestructive assay (NDA) data provided to Bechtel Hanford, Inc., in support of their decontamination and dismantlement activities at Building [ ]. The DOE Office of Price-Anderson Enforcement initiated an investigation of this event in July 2001. A formal request for relevant documentation was made and a full review of the documentation was conducted. In addition,

488

Enhanced carbon dioxide capture upon incorporation ofN,N'-dimethyleth...  

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

Enhanced carbon dioxide capture upon incorporation of N,N'-dimethylethylenediamine in the metal-organic framework CuBTTri Previous Next List Thomas M. McDonald, Deanna M....

489

A Study of SSI Effects Incorporating Seismic Wave Incoherence within the DOE Complex  

Broader source: Energy.gov [DOE]

A Study of SSI Effects Incorporating Seismic Wave Incoherence within the DOE Complex 2014 U.S. DOE Natural Phenomena Hazards Meeting Carl J. Costantino and Associates www.cjcassoc.com

490

A Methodology for Weapon System Availability Assessment, incorporating Failure, Damage and  

E-Print Network [OSTI]

A Methodology for Weapon System Availability Assessment, incorporating Failure, Damage in a hostile environment, they are particularly vulnerable in sit- uations of unavailability. Military weapon principles for weapon systems modeling that integrate both system failure and system damage, as well

Boyer, Edmond

491

Incorporation of wastewater harvested algae into three-phase compression ignition emulsion fuels.  

E-Print Network [OSTI]

??The purpose of this study was to assess the technical feasibility of incorporating wastewater harvested algae into three-phase, oil-in-water-in-oil compression ignition emulsion fuels for use (more)

Wiley, Patrick E.

2007-01-01T23:59:59.000Z

492

Production, Characterization, and Mechanical Behavior of Cementitious Materials Incorporating Carbon Nanofibers  

E-Print Network [OSTI]

Carbon nanotubes (CNTs) and carbon nanofirbers (CNFs) have excellent properties (mechanical, electrical, magnetic, etc.), which can make them effective nanoreinforcements for improving the properties of materials. The incorporation of CNT/Fs in a...

Yazdanbakhsh, Ardavan

2012-10-19T23:59:59.000Z

493

Indicators of Success When Incorporating Whole Grains into School Meals: HealthierUS School Challenge  

E-Print Network [OSTI]

blend whole grain products compared to those made from 100% whole wheat. Additionally, survey participants reported barriers to whole grain food incorporation which included: product acceptability, whole grain product identification, whole grain product...

Sceets, Christine Elizabeth

2012-10-19T23:59:59.000Z

494

Investigation of Molecular Magnetic Compounds Incorporating 4d and 5d Transition Metal Cyanometallates  

E-Print Network [OSTI]

tunneling of the magnetization (QTM) from zero field. This exchange-bias can be turned on or off depending on the presence of interstitial methanol molecules. New trigonal bipyramidal (TBP) molecules incorporating the rarely studies hexacyanomolybdate...

Southerland, Heather Irene

2013-05-31T23:59:59.000Z

495

Guidance on Incorporating EPA's Pollution Prevention Strategy into the Environmental Review Process  

Broader source: Energy.gov [DOE]

The guidance discusses the Environmental Protection Agency's definition of pollution prevention; how to incorporate pollution prevention into the EPA environmental review process and interagency liaison function; and federal pollution prevention awards programs.

496

Evaluation of an approximate method for incorporating floating docks in harbor wave prediction models  

E-Print Network [OSTI]

coastal domains. However, floating structures such as floating breakwaters and docks are often encountered in the modeling domain. This makes the problem locally 3- dimensional. Hence it is problematic to incorporate a floating structure into the 2-d model...

Tang, Zhaoxiang

2005-11-01T23:59:59.000Z

497

INCORPORATING NATURAL VARIATION INTO TIME SERIES-BASED LAND COVER CHANGE IDENTIFICATION  

E-Print Network [OSTI]

INCORPORATING NATURAL VARIATION INTO TIME SERIES-BASED LAND COVER CHANGE IDENTIFICATION VARUN in forests. The bulk of work in identifying land cover changes using remote sensing data involves image

Minnesota, University of

498

Unnatural amino acid incorporation for genetic code expansion in mammalian cells  

E-Print Network [OSTI]

for p-benzoylphenylalanine (Bpa; (Figure 2.2a). As expected,in the presence of Bpa, and virtually no fluorescent cells (detected in the absence of Bpa. The incorporation efficiency

Takimoto, Jeffrey Kunio

2011-01-01T23:59:59.000Z

499

incorporation into the liver, plasma and abdominal adipose tissue lipids was studied  

E-Print Network [OSTI]

incorporation into the liver, plasma and abdominal adipose tissue lipids was studied over a 30 min secretion from the liver of fat animals than that of the lean ones. Moreover, a significant difference

Boyer, Edmond

500

Quantifying the system balancing cost when wind energy is incorporated into electricity generation system  

E-Print Network [OSTI]

Incorporation of wind energy into the electricity generation system requires a detailed analysis of wind speed in order to minimize system balancing cost and avoid a significant mismatch between supply and demand. Power ...

Issaeva, Natalia

2009-01-01T23:59:59.000Z