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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

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

3

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

SciTech Connect

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

Phillip Mills

2012-02-01T23:59:59.000Z

4

Keys to Canola Production in South Texas  

E-Print Network (OSTI)

Canola is a term patented by the Canadian government. It refers to rapeseed (Brassica napus), which has specific chemical properties that lend themselves to the production of a high-quality cooking oil and an edible meal used in livestock rations...

Livingston, Stephen; Bremer, John E.; Parker, Roy D.; Miller, Travis

1995-11-22T23:59:59.000Z

5

Single, Key Gene Discovery Could Streamline Production of Biofuels |  

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

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

6

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

7

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

8

Potential Benefits from Improved Energy Efficiency of Key Electrical Products:  

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

8254 8254 Potential Benefits from Improved Energy Efficiency of Key Electrical Products: The Case of India Michael McNeil, Maithili Iyer, Stephen Meyers, Virginie Letschert, James E. McMahon Environmental Energy Technologies Division Lawrence Berkeley National Laboratory University of California, Berkeley Berkeley, CA December 2005 This work was supported by the International Copper Association through the U.S. Department of Energy under Contract No. DE-AC03-76SF00098. 2 ABSTRACT The goal of this project was to estimate the net benefits that cost-effective improvements in energy efficiency can bring to developing countries. The study focused on four major electrical products in the world's second largest developing country, India. These

9

Ethanol Production, Distribution, and Use: Discussions on Key Issues (Presentation)  

SciTech Connect

From production to the environment, presentation discusses issues surrounding ethanol as a transportation fuel.

Harrow, G.

2008-05-14T23:59:59.000Z

10

Is R & D the Key to the Productivity Problem?  

Science Journals Connector (OSTI)

...sharp change after 1973, Denison says...funding occurred around 1973. As a percentage...indicates that before the 1973 slowdown, R & D contributed...materially to carry the day. The re-sult is...changes in output per unit of input, and...Improvements in production pro-cesses are most...

JOHN WALSH

1981-02-13T23:59:59.000Z

11

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

12

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

13

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).

14

Potential for Hydrogen Production from Key Renewable Resources in the United States  

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

Potential for Hydrogen Production Potential for Hydrogen Production from Key Renewable Resources in the United States A. Milbrandt and M. Mann Technical Report NREL/TP-640-41134 February 2007 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 Potential for Hydrogen Production from Key Renewable Resources in the United States A. Milbrandt and M. Mann Prepared under Task No. H278.2100 Technical Report NREL/TP-640-41134 February 2007 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 Contract No. DE-AC36-99-GO10337 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

15

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).

16

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

17

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

18

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).

19

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).

20

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.

Note: This page contains sample records for the topic "key assumptions product" 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 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

22

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).

23

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

24

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

25

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).

26

Section 25: Future State Assumptions  

NLE Websites -- All DOE Office Websites (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...

27

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

28

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).

29

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).

30

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).

31

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).

32

Potential Benefits from Improved Energy Efficiency of Key Electrical Products: The Case of India  

E-Print Network (OSTI)

LCC accounts for the electricity costs paid by the consumerProduct Additional Electricity Cost NPV Product Coststhe annual operating cost (electricity bill), and DR is the

McNeil, Michael; Iyer, Maithili; Meyers, Stephen; Letschert, Virginie; McMahon, James E.

2005-01-01T23:59:59.000Z

33

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.

34

Integration of Process FMEA with Product and Process Design Based on Key Characteristics  

Science Journals Connector (OSTI)

It was investigated that most product faults typically originate in the development and planning stages and around 80% of faults remains undetected until final test or when the product was in use. For complex pro...

L. Y. Zheng; Q. Liu; C. A. McMahon

2010-01-01T23:59:59.000Z

35

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

36

The Production Tax Credit is Key to a Strong U.S. Wind Industry  

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

New report finds the production tax credit has been critical to the growth of the U.S. wind industry.

37

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect

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

Not Available

1993-05-01T23:59:59.000Z

38

Third Generation Green Energy: Cyanobacteria, Key to Production of Sustainable Energy Through Metabolic Engineering  

Science Journals Connector (OSTI)

Renewable energy is produced from natural sources and cyanobacterial ... has emerged as one of the promising renewable green energy sources, and nitrogenase-based photobiological hydrogen production...2002, 2007....

Namita Singh; Ritika Chanan

2013-01-01T23:59:59.000Z

39

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.

40

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

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


41

Assumptions to 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

42

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

43

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).

44

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

45

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).

46

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.

47

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).

48

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).

49

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

50

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

51

Impact of agricultural-based biofuel production on greenhouse gas emissions from land-use change: Key modelling choices  

Science Journals Connector (OSTI)

Abstract Recent regulations on biofuels require reporting of greenhouse gas (GHG) emission reductions related to feedstock-specific biofuels. However, the inclusion of GHG emissions from land-use change (LUC) into law and policy remains a subject of active discussion, with LUCGHG emissions an issue of intense research. This article identifies key modelling choices for assessing the impact of biofuel production on LUCGHG emissions. The identification of these modelling choices derives from evaluation and critical comparison of models from commonly accepted biofuelsLUCGHG modelling approaches. The selection and comparison of models were intended to cover factors related to production of agricultural-based biofuel, provision of land for feedstock, and GHG emissions from land-use conversion. However, some fundamental modelling issues are common to all stages of assessment and require resolution, including choice of scale and spatial coverage, approach to accounting for time, and level of aggregation. It is argued here that significant improvements have been made to address LUCGHG emissions from biofuels. Several models have been created, adapted, coupled, and integrated, but room for improvement remains in representing LUCGHG emissions from specific biofuel production pathways, as follows: more detailed and integrated modelling of biofuel supply chains; more complete modelling of policy frameworks, accounting for forest dynamics and other drivers of LUC; more heterogeneous modelling of spatial patterns of LUC and associated GHG emissions; and clearer procedures for accounting for the time-dependency of variables. It is concluded that coupling the results of different models is a convenient strategy for addressing effects with different time and space scales. In contrast, model integration requires unified scales and time approaches to provide generalised representations of the system. Guidelines for estimating and reporting LUCGHG emissions are required to help modellers to define the most suitable approaches and policy makers to better understand the complex impacts of agricultural-based biofuel production.

Luis Panichelli; Edgard Gnansounou

2015-01-01T23:59:59.000Z

52

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.

53

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.

54

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

55

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).

56

Climate Action Planning Tool Formulas and Assumptions  

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

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

57

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

58

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

59

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

60

Diversion assumptions for high-powered research reactors  

SciTech Connect

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

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


61

Assumptions to the Annual Energy Outlook 2013  

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

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

62

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.

63

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.

64

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.

65

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

66

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

67

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

68

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

69

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

70

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

71

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

SciTech Connect

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

72

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

73

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

74

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.

75

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)

76

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),

77

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.

78

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.

79

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

80

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "key assumptions product" 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 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

82

SUBTASK 1.7 EVALUATION OF KEY FACTORS AFFECTING SUCCESSFUL OIL PRODUCTION IN THE BAKKEN FORMATION, NORTH DAKOTA PHASE II  

SciTech Connect

Production from the Bakken and Three Forks Formations continues to trend upward as forecasts predict significant production of oil from unconventional resources nationwide. As the U.S. Geological Survey reevaluates the 3.65 billion bbl technically recoverable estimate of 2008, technological advancements continue to unlock greater unconventional oil resources, and new discoveries continue within North Dakota. It is expected that the play will continue to expand to the southwest, newly develop in the northeastern and northwestern corners of the basin in North Dakota, and fully develop in between. Although not all wells are economical, the economic success rate has been near 75% with more than 90% of wells finding oil. Currently, only about 15% of the play has been drilled, and recovery rates are less than 5%, providing a significant future of wells to be drilled and untouched hydrocarbons to be pursued through improved stimulation practices or enhanced oil recovery. This study provides the technical characterizations that are necessary to improve knowledge, provide characterization, validate generalizations, and provide insight relative to hydrocarbon recovery in the Bakken and Three Forks Formations. Oil-saturated rock charged from the Bakken shales and prospective Three Forks can be produced given appropriate stimulation treatments. Highly concentrated fracture stimulations with ceramic- and sand-based proppants appear to be providing the best success for areas outside the Parshall and Sanish Fields. Targeting of specific lithologies can influence production from both natural and induced fracture conductivity. Porosity and permeability are low, but various lithofacies units within the formation are highly saturated and, when targeted with appropriate technology, release highly economical quantities of hydrocarbons.

Darren D. Schmidt; Steven A. Smith; James A. Sorensen; Damion J. Knudsen; John A. Harju; Edward N. Steadman

2011-10-31T23:59:59.000Z

83

Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012  

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

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

84

Key Outcomes:  

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

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

85

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

86

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

87

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

88

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

89

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.

90

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

91

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).

92

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

93

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

94

Production and screening of carbon products precursors from coal. Quarterly technical progress report and key personnel staffing report No. 6, April 1, 1996--June 30, 1996  

SciTech Connect

The main goal of this program is to demonstrate the utility of coal extracts from the West Virginia University (WVU) extraction process as suitable base raw materials for the carbon products encompassed by the Carbon Products Consortium (CPC) team. This quarterly report covers activities during the period from April 1, 1996 through June 30, 1996. The first year of the project ended in February, 1996; however, the WVU research effort has continued on a no-cost extension of the original contract. Samples have been supplied to CPC participants so they could conduct their portions of the project as contracted through ORNL. Progress reports are presented for the following tasks: project planning and administration; consortium administration and reporting; coal extraction; technical/economic evaluation of WVU extraction process; and technology transfer. Previous work has shown that the WVU coal extraction process coupled with hydrotreatment, does have the potential for producing suitable base raw materials for carbon products. Current effort, therefore, involved the screening and evaluation of extracts produced by the WVU Group and recommending appropriate materials for scaleup for subsequent evaluation by Consortium Team members. As part of this program, the activation of the coal extraction residues was investigated for the purpose of producing a useful active carbon. A further task, which was started towards the end of the program, was to fabricate a small graphite artifact using Coke derived from coal extract as the filler and the coal extract itself as a binder. The results of these studies are summarized in this report.

NONE

1996-07-01T23:59:59.000Z

95

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.

96

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.

97

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 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 20). The Industrial Demand Module forecasts energy consumption at the four Census region levels; energy consumption at the Census Division level is allocated by using the SEDS24 data. The energy-intensive industries (food and kindred products, paper and allied products, bulk chemicals, glass and glass products, hydraulic cement, blast furnace and basic steel products, and aluminum) are modeled in considerable detail. Each industry is modeled as three separate but interrelated components consisting of the Process Assembly (PA) Component, the Buildings Component (BLD), and the Boiler/Steam/Cogenera- tion (BSC) Component. The BSC Component satisfies the steam demand from the PA and BLD Components. In some industries, the PA Component produces byproducts that are consumed in the BSC Component. For the manufacturing industries, the PA Component is separated into the major production processes or end uses.

98

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.

99

Production and screening of carbon products precursors from coal. Quarterly technical progress report and key personnel staffing report No. 3, July 1, 1995--Sepember 30, 1995  

SciTech Connect

Tasks 1 and 2 involve preparation of a Project Management Plan and establishment of a Participants Agreement/Proprietary Information Agreement for members of the Carbon Products Consortium (CPC). These tasks are now complete. Task 3 is to provide a series of samples of solvent extracted coal to the CPC participants and to incorporate their feedback and suggestions into subsequent samples. As of September 30, 1995, UCAR has received two rounds of samples; Koppers has received one round of samples; ALCOA and AMOCO have not yet specified the types of samples they wish to receive; FMI has received one round of samples and has requested a rather large, five kilogram, sample of coal extracts to do multiple impregnation on a large carbon fiber preform. There are extensive communications between the WVU research team and the five industrial partners. Task 4, cooperation with MITRE on their preparation of an economic analysis of the solvent extraction, is complete. Task 5, Technology Transfer, is an on going endeavor with research team meetings, general CPC meetings, presentations of conference papers, and submission of required reports. The CPC is finally functioning as it has been envisioned, i.e., with the WVU solvent extracted coal materials being evaluated by several companies as precursor for their individual product lines. The companies are comparing the WVU materials with commercially available pitches and cokes.

NONE

1995-10-01T23:59:59.000Z

100

2010 Manufacturing Energy and Carbon Footprints: Definitions and Assumptions  

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

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

Note: This page contains sample records for the topic "key assumptions product" 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 - 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

102

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

103

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

104

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.

105

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

106

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

107

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module 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).119 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.

108

AP Key Accomplishments  

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

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

109

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.

110

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

111

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.

112

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.

113

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.

114

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

115

MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT  

SciTech Connect

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

116

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

117

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).

118

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

119

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).

120

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

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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

Fuel Cell Technologies Office: Key Activities  

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

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

122

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

SciTech Connect

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

123

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.

124

Production and screening of carbon products precursors from coal: Carbon products consortium. Quarterly technical progress report and key personnel staffing report, No. 1, February 15, 1995--March 30, 1995  

SciTech Connect

The Carbon Products Consortium (CPC) is a university, industry, national laboratory cooperative research, development and commercialization partnership focused on the use of coal-derived precursors for a wide range of carbon products. The CPC program has evolved over five years through the combined efforts of academic, congressional, industrial, and government agency participation and support. The PETC funded WVU portion of the CPC involves both administration and research. During the preceding quarter, the Project Management Plan specified in Task 1 of the Workplan has been initiated and a draft will be submitted to the DOE COR. A CPC Participants Agreement has been approved and signed by the university and industrial participants. The WVU carbon products group has added three additional technicians to help initiate the project. Several new reactor systems have been obtained for the solvent extraction lab. Due to WVU`s experience and background in solvent extraction of coal, the WVU portion of the project will be in operation very soon. Several small samples (one ounce or less) of coal extracts will be provided to UCAR for initial screening.

NONE

1995-06-01T23:59:59.000Z

125

U.S. Geothermal Announces More Test Results From the Neal Hot Springs Production Well and a Key Addition to Senior Staff  

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

U.S. Geothermal Inc. ("U.S. Geothermal"), a renewable energy company focused on the production of electricity from geothermal energy, announced today results from a second, higher rate flow test of the first full size production well (NHS-1) at the Neal Hot Springs Project.

126

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

127

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

128

The production and utilization of a clean, abundant, and renewable energy source is widely accepted as one of the key challenges facing mankind today. Population  

E-Print Network (OSTI)

2. Making fuel by modeling nature: Increasing the rate of hydrogen production with improved without the whole protein. Hence many simpler models of these hydrogen producing catalysts have been catalysts are active at such a large overpotential that they could never be used in a functional solar cell

Bruck, Jehoshua (Shuki)

129

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":""}]}

130

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

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

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

131

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

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

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

132

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

133

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

134

Public Key Cryptography and Key Management  

Directives, Delegations, and Requirements

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

135

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

136

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.

137

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.

138

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.

139

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

140

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

Note: This page contains sample records for the topic "key assumptions product" 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 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

142

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

SciTech Connect

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

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

2001-03-26T23:59:59.000Z

143

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

SciTech Connect

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

144

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.

145

The contour method cutting assumption: error minimization and correction  

SciTech Connect

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

146

Assumptions to the Annual Energy Outlook 2001 - Petroleum Market Module  

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

147

Assumptions to the Annual Energy Outlook 2002 - Petroleum Market Module  

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

148

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

149

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.

150

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.

151

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.

152

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.

153

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

154

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.

155

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,

156

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

157

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

158

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

159

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

160

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.

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


161

Assumptions to the Annual Energy Outlook 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

162

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].

163

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

164

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

165

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

166

Systems Design and Applications Branch (SDAB) Hayden Menzel ( Prins) Key Advanced Satellite Products Branch (ASPB) Timothy J. Schmit validating and improving GOES (Imager & Sounder) products -GOES calibration and quality control  

E-Print Network (OSTI)

. White} {Richard A. Frank} {John V. Byrne} {Anthony J. Calio} {William Evans} {John A. Knauss} {D. James calibration and quality control - developing prototypes for future GOES products - GOES-R - promoting future of Research and Applications (ORA) {Harold Yates} { P. K. Rao} {James F. W. Purdom, Jr } {Marie C. Colton

Kuligowski, Bob

167

Keys to Profitable Blackberry Production in Texas.  

E-Print Network (OSTI)

of nitrogen to apply if using ammoni um sulfate (21-0-0) fertilizer works out to 200 pounds per acre (4.6 pounds per 100 feet of row) in February and 100 pounds per acre (2.3 pounds per 100 feet of row) in June . Apply about one-half this amount...

Lipe, John A.

1986-01-01T23:59:59.000Z

168

Range Condition: Key to Sustained Ranch Productivity  

E-Print Network (OSTI)

Range condition, or a rangeland's "state of health," is an ecological measurement of the current condition of a range. Range condition is evaluated by the plant species composition. This leaflet explains the importance of range condition, how range...

McGinty, Allan; White, Larry D.

2000-04-25T23:59:59.000Z

169

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.

170

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.

171

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

unfinished oil imports, other refinery inputs (including alcohols, 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 activities in the five Petroleum Area Defense Districts (PADDs) (Figure 9). The LP model is created by aggregating individual refineries within a PADD into one representative refinery, and linking all five PADD's via crude and product transit links. This representation provides the marginal costs of production for a number of conventional and new petroleum products. In order to interact with other NEMS modules with different regional representations,

172

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

SciTech Connect

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

173

ARM - Key Science Questions  

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

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

174

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

175

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.

176

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

177

Production  

Science Journals Connector (OSTI)

Production is obtained from proved reserves but the determinants of the scale of production in the industry and country components of the world total are many and complex with some unique to the individual com...

D. C. Ion

1980-01-01T23:59:59.000Z

178

Assumptions to the Annual Energy Outlook 2000 - International Energy Module  

Gasoline and Diesel Fuel Update (EIA)

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(99), (Washington, DC, February 1999).

179

Key Facts about the Biosciences Division | Argonne National Laboratory  

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

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

180

Cryptographic Key Management System  

SciTech Connect

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

Note: This page contains sample records for the topic "key assumptions product" 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

Fuel Cell Technologies Office: Key Activities  

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

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

182

Production  

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

Algae production R&D focuses on exploring resource use and availability, algal biomass development and improvements, characterizing algal biomass components, and the ecology and engineering of...

183

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

12 12 . 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

184

Assumptions to the Annual Energy Outlook 2002 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module 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).117 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,

185

Assumptions to the Annual Energy Outlook 2002 - Natural Gas Transmission  

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

186

Assumptions to the Annual Energy Outlook 2001 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module 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).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 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,

187

Assumptions to the Annual Energy Outlook 2001 - Natural Gas Transmission  

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

188

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

189

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,...

190

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.

191

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

Gasoline and Diesel Fuel Update (EIA)

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 wind108. 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 wind108. 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.

192

Assumptions to the Annual Energy Outlook 2000 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module (RFM) consists of five distinct submodules that represent the major renewable energy technologies. Although it is described here, conventional hydroelectric is included in the Electricity Market Module (EMM) and is not part of the RFM. Similarly, ethanol modeling is included in the Petroleum Market Module (PMM). Some renewables, such as 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 require 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 wind, solar, and geothermal 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.

193

Assumptions to the Annual Energy Outlook 1999 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

renewable.gif (4875 bytes) renewable.gif (4875 bytes) The NEMS Renewable Fuels Module (RFM) consists of five distinct submodules that represent the major renewable energy technologies. Although it is described here, conventional hydroelectric is included in the Electricity Market Module (EMM) and is not part of the RFM. Similarly, ethanol modeling is included in the Petroleum Market Module (PMM). Some renewables, such as 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 require 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 wind, solar, and geothermal energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittence, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

194

Production  

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

Algae production R&D focuses on exploring resource use and availability, algal biomass development and improvements, characterizing algal biomass components, and the ecology and engineering of cultivation systems.

195

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

196

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Kerosene Petroleum Other Products Refinery Gas Diesel OilGasoline Liquid Petroleum Gas Refinery Production by ProductPetroleum Other Products Refinery Gas Diesel Oil Gasoline

Levine, Mark

2013-01-01T23:59:59.000Z

197

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

198

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

199

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

200

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.

Note: This page contains sample records for the topic "key assumptions product" 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

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

202

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Growth of China's Total Primary Energy Production (TPE) byFuel (Mtce) Primary Energy Production (Mtce) AAGR Coal Rawof China's Total Primary Energy Production (Mtce) AAGR Total

Levine, Mark

2013-01-01T23:59:59.000Z

203

Key China Energy Statistics 2012  

E-Print Network (OSTI)

of China's Total Primary Energy Production by Source (1950-AAGR EJ Primary Energy Production (Mtce) Coal Oil NaturalRenewables Total Primary Energy Production by Source Shares*

Levine, Mark

2013-01-01T23:59:59.000Z

204

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

205

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

206

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

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

207

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

208

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

209

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Diesel Oil Fuel Oil Total Primary Energy Supply Indigenous Production Indigenous Production - Hydro PowerDiesel Oil Fuel Oil Mt Mt Mt Mt Mt Total Primary Energy Supply Indigenous Production Indigenous Production - Hydro Power

Levine, Mark

2013-01-01T23:59:59.000Z

210

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Diesel Oil Fuel Oil Total Primary Energy Supply Indigenous Production Indigenous Production - Hydro PowerDiesel Oil Fuel Oil Total Primary Energy Supply Indigenous Production Indigenous Production - Hydro Power

Levine, Mark

2013-01-01T23:59:59.000Z

211

Key China Energy Statistics 2012  

E-Print Network (OSTI)

South Korea Other Crude Oil Production by Region (1985-2010)West Chinese Crude Oil Production by Regional Shares EastHenan Other Total Crude Oil Production: 209 Mt China's Crude

Levine, Mark

2013-01-01T23:59:59.000Z

212

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

213

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Total Primary Energy Production per GDP (MER*) (2009) *Total Primary Energy Production per GDP (PPP**) **PurchasingNorth West China's Energy Consumption per Unit of GDP Energy

Levine, Mark

2013-01-01T23:59:59.000Z

214

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

SciTech Connect

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The 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

215

Key Activities | Department of Energy  

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

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

216

Key Workplace Documents Federal Publications  

E-Print Network (OSTI)

to protect IPR and afford market access for IPR- related products, discriminatory regulations on imported

217

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.

218

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

219

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

220

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

Note: This page contains sample records for the topic "key assumptions product" 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

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

222

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

223

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Total Primary Energy Production per GDP (2008) tce/thousandTotal Primary Energy Production per GDP (PPP*) tce/thousand2008) Energy-Related CO 2 Emissions per GDP (2008) kg CO 2 /

Levine, Mark

2013-01-01T23:59:59.000Z

224

EPAct Transportation Regulatory Activities: Key Terms  

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

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

225

EPAct Transportation Regulatory Activities: Key Federal Statutes  

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

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

226

Resource Constraints in Petroleum Production Potential  

Science Journals Connector (OSTI)

...the assumption of 2% consumption growth and the low scenario, OPEC would achieve 50% ofworld production in 1998. OPEC's highest crude oil production was 32 mmbbl per day in 1973 and 1979. About 10% ofthe liquid petroleum produced outside...

C. D. MASTERS; D. H. ROOT; E. D. ATTANASI

1991-07-12T23:59:59.000Z

227

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

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

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

228

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.

229

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

230

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.

231

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

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

Sierra Geothermal's Key Find in Southern Nevada Sierra Geothermal's Key Find in Southern Nevada Sierra Geothermal's Key Find in Southern Nevada July 13, 2010 - 5:17pm Addthis Sierra Geothermal discovered temperatures hot enough for large-scale geothermal energy production at one of its wells near Silver Peak, Nev. | Photo courtesy of Sierra Geothermal Sierra Geothermal discovered temperatures hot enough for large-scale geothermal energy production at one of its wells near Silver Peak, Nev. | Photo courtesy of Sierra Geothermal Paul Lester Communications Specialist for the Office of Energy Efficiency and Renewable Energy In May 2010, Sierra Geothermal determined temperature at the bottom of a well drilled at the company's Alum project near Silver Peak, Nev., was hot enough for commercial-sized geothermal energy production - measured as 147

232

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

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

Sierra Geothermal's Key Find in Southern Nevada Sierra Geothermal's Key Find in Southern Nevada Sierra Geothermal's Key Find in Southern Nevada July 13, 2010 - 5:17pm Addthis Sierra Geothermal discovered temperatures hot enough for large-scale geothermal energy production at one of its wells near Silver Peak, Nev. | Photo courtesy of Sierra Geothermal Sierra Geothermal discovered temperatures hot enough for large-scale geothermal energy production at one of its wells near Silver Peak, Nev. | Photo courtesy of Sierra Geothermal Paul Lester Communications Specialist, Office of Energy Efficiency and Renewable Energy In May 2010, Sierra Geothermal determined temperature at the bottom of a well drilled at the company's Alum project near Silver Peak, Nev., was hot enough for commercial-sized geothermal energy production - measured as 147

233

Key Activities | Department of Energy  

Office of Environmental Management (EM)

to commercialization Increase efficiency, reduce production costs, and open new markets for solar energy Foster collaboration for utility-scale solutions and clear the...

234

Key Activities | Department of Energy  

Energy Savers (EERE)

industrial supply chain networks can improve their productivity and reduce the energy costs in their existing facilities. 1 Ron Bloom, Innovation. That's our core competency,...

235

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Consumption Total Primary Energy Consumption by Source AAGRFuel Wind Total Primary Energy Consumption by Source SharesPrimary Energy Production per Capita (2009) tce/capita Electricity Consumption

Levine, Mark

2013-01-01T23:59:59.000Z

236

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

237

Hydrogen Production- Current Technology  

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

The development of clean, sustainable, and cost-competitive hydrogen production processesis key to a viable future clean energy economy. Hydrogen production technologies fall into three general...

238

Vehicle Technologies Office: Key Activities in Vehicles  

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

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

239

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Gas Consumption Total Primary Energy Consumption by Source (Nuclear Fuel Total Primary Energy Consumption by Fuel SharesPrimary Energy Production per Capita (2008) tce per capita Electricity Consumption

Levine, Mark

2013-01-01T23:59:59.000Z

240

Public/private key certification authority and key distribution. Draft  

SciTech Connect

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

Note: This page contains sample records for the topic "key assumptions product" 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

Key Activities in Energy Efficiency | Department of Energy  

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

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

242

SunShot Initiative: Key Activities  

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

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

243

Alternative Fuels Data Center: Key Federal Legislation  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

244

Technology Key to Harnessing Natural Gas Potential | Department of Energy  

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

Technology Key to Harnessing Natural Gas Potential Technology Key to Harnessing Natural Gas Potential Technology Key to Harnessing Natural Gas Potential July 18, 2012 - 3:52pm Addthis Deputy Secretary Daniel Poneman tours Proinlosa Energy Corp. in Houston, Texas. Proinlosa is a company in the wind turbine manufacturing supply chain that develops tower parts and has benefitted from the Production Tax Credit (PTC). | Photo courtesy of Keri Fulton. Deputy Secretary Daniel Poneman tours Proinlosa Energy Corp. in Houston, Texas. Proinlosa is a company in the wind turbine manufacturing supply chain that develops tower parts and has benefitted from the Production Tax Credit (PTC). | Photo courtesy of Keri Fulton. Daniel B. Poneman Daniel B. Poneman Deputy Secretary of Energy What does this project do? Builds on President Obama's call for a new era for American energy

245

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

246

Renewable Energy Community: Key Elements  

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

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

247

Key features of wave energy  

Science Journals Connector (OSTI)

...strong analogy with a wind or tidal turbine, where the power is the product of the...Instead, we shed power above a certain modest wind speed (the rated speed...without reducing the wind force F (and thus the power), by making the turbine...

2012-01-01T23:59:59.000Z

248

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

249

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

250

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

251

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.

252

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

253

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

254

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

255

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.

256

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

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

257

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

258

Hydrogen Production - Current Technology | Department of Energy  

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

Current Technology Hydrogen Production - Current Technology The development of clean, sustainable, and cost-competitive hydrogen production processes is key to a viable future...

259

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

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

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

260

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

Note: This page contains sample records for the topic "key assumptions product" 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

Assumptions to the Annual Energy Outlook 2001 - Table 4. Coefficients of  

Gasoline and Diesel Fuel Update (EIA)

Coefficients of Linear Equations for Natural Gas- and Coefficients of Linear Equations for Natural Gas- and Oil-Related Methane Emissions Emissions Sources Intercept Variable Name and Units Coefficient Variable Name and Units Coefficient Natural Gas -38.77 Time trend (calendar year) .02003 Dry gas production (thousand cubic feet .02186 Natural Gas Processing -0.9454 Natural gas liquids production (million barrels per day) .9350 Not applicable Natural Gas Transmission and Storage 2.503 Pipeline fuel use (thousand cubic feet) 1.249 Dry gas production (thousand cubic feet) -0.06614 Natural Gas Distribution -58.16 Time trend (calendar year) .0297 Natural gas consumption (quadrillion Btu) .0196 Oil production, Refining, and Transport 0.03190 Oil consumption (quadrillion Btu) .002764 Not applicable Source: Derived from data used in Energy Information Administration, Emissions of Greenhouse Gases in the United States 1999, DOE/EIA-0573(99), (Washington, DC, October 2000).

262

A Key Enzyme to the Potency of an Anticancer Agent  

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

A Key Enzyme to the Potency of A Key Enzyme to the Potency of an Anticancer Agent A Key Enzyme to the Potency of an Anticancer Agent Print Wednesday, 28 May 2008 00:00 Incorporation of halogen atoms into drug molecules often increases biological activity. This is the case with salinosporamide A (sal A), a natural product from the marine bacterium Salinispora tropica that is 500 times more active than sal B, its nonchlorinated analog. Sal A is in phase I human clinical trials for the treatment of multiple myeloma and solid tumors. A group of researchers, using diffraction data collected at ALS Beamline 8.2.2, discovered and characterized the chlorinating SalL enzyme, a crucial component in sal A biosynthesis that uses a unique chlorine-activating mechanism. Chlorine-Loving Enzyme Speeds Things Up

263

Compression station key to Texas pipeline project  

SciTech Connect

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

NONE

1996-10-01T23:59:59.000Z

264

Key Accomplishments @ Catalysis: Reactivity and Structure Group | Chemistry  

NLE Websites -- All DOE Office Websites (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

265

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

SciTech Connect

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

266

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

267

Counterfactual quantum key distribution with high efficiency  

SciTech Connect

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

268

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

269

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.

270

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

271

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

272

Microalgae-based biodiesel: A multicriteria analysis of the production process using realistic scenarios  

Science Journals Connector (OSTI)

Abstract Microalgae-based biodiesel has several benefits over other resources such as less land use, potential cultivation in non-fertile locations, faster growth and especially a high lipid-to-biodiesel yield. Nevertheless, the environmental and economic behavior for high scale production depends on several variables that must be addressed in the scale-up procedure. In this sense, rigorous modeling and multicriteria evaluation are performed in order to achieve optimal topology for third generation biodiesel production. Different scenarios and the most promising technologies tested at pilot scale are assessed. Besides, the sensitivity analysis allows the detection of key operating variables and assumptions that have a direct effect on the lipid content. The deviation of these variables may lead to an erroneous estimation of the scale-up performance of the technology reviewed in the microalgae-based biodiesel process. The modeling and evaluation of different scenarios of the harvesting, oil extraction and transesterification help to identify greener and cheaper alternatives.

Carmen M. Torres; Sergio D. Ros; Carles Torras; Joan Salvad; Josep M. Mateo-Sanz; Laureano Jimnez

2013-01-01T23:59:59.000Z

273

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":""}]}

274

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

275

Captured key electrical safety lockout system  

SciTech Connect

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

276

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

277

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

278

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

279

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

280

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

Note: This page contains sample records for the topic "key assumptions product" 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

Multipartite secret key distillation and bound entanglement  

SciTech Connect

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

282

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

283

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

284

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

285

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.

286

STIGMERGY: A DESIGN PATTERN FOR PRODUCT-DRIVEN SYSTEMS  

E-Print Network (OSTI)

STIGMERGY: A DESIGN PATTERN FOR PRODUCT-DRIVEN SYSTEMS Rémi Pannequin, André Thomas Research Centre be used to develop product-driven systems. Agent-oriented components which implement it are presented) is based on the assumption that the product is the core object is this system. Indeed, the product

Paris-Sud XI, Université de

287

Hydrogen Production Roadmap: Technology Pathways to the Future, January 2009  

Fuel Cell Technologies Publication and Product Library (EERE)

Roadmap to identify key challenges and priority R&D needs associated with various hydrogen fuel production technologies.

288

STGWG Key Outcomes for May 3, 2010  

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

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

289

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

290

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

291

A Key Enzyme to the Potency of an Anticancer Agent  

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

A Key Enzyme to the Potency of an Anticancer Agent Print A Key Enzyme to the Potency of an Anticancer Agent Print Incorporation of halogen atoms into drug molecules often increases biological activity. This is the case with salinosporamide A (sal A), a natural product from the marine bacterium Salinispora tropica that is 500 times more active than sal B, its nonchlorinated analog. Sal A is in phase I human clinical trials for the treatment of multiple myeloma and solid tumors. A group of researchers, using diffraction data collected at ALS Beamline 8.2.2, discovered and characterized the chlorinating SalL enzyme, a crucial component in sal A biosynthesis that uses a unique chlorine-activating mechanism. Chlorine-Loving Enzyme Speeds Things Up The smell of chlorine is unmistakable. It's in the swimming pool, in household bleach, and sometimes the faint odor of chlorine rises up from your tap water. But chlorine is more than a purifier and a disinfectant. It's found almost everywhere in nature-in table salt, dissolved in the ocean, and as a key ingredient in biosynthesis, a vital part of the metabolism of all living organisms.

292

Key valves prioritization study. Final report  

SciTech Connect

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

293

From Enthusiasm to Economy: Precision Optical Design as a Key to Making LED Luminaires Cost-Efficient in Street Lighting and Architectural Lighting  

Science Journals Connector (OSTI)

Technical luminaries have to compete on an economic basis. Optics design plays a key role for the development of efficient products, providing unique light distributions and minimizing...

Timinger, Andreas

294

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

295

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

296

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

SciTech Connect

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

297

Website Provides Data for Key Oil Play in North Dakota, Eastern Montana |  

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

Website Provides Data for Key Oil Play in North Dakota, Eastern Website Provides Data for Key Oil Play in North Dakota, Eastern Montana Website Provides Data for Key Oil Play in North Dakota, Eastern Montana July 19, 2011 - 1:00pm Addthis Washington, DC - A new web-based geographic information system designed to improve oil production in North Dakota and eastern Montana has been launched with support from the U.S. Department of Energy. The Bakken Decision Support System (BDSS) assembles data for the Bakken and Three Forks Formations into an application that enables a user to visualize geologic and oil production information.The online tool, called the Bakken Decision Support System (BDSS), assembles data for the Bakken and Three Forks Formations into an application that enables a user to visualize geologic and oil production information. The system was developed by the

298

Key Facts: Solyndra Solar | Department of Energy  

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

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

299

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

300

Key Physical Mechanisms in Nanostructured Solar Cells  

SciTech Connect

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

Note: This page contains sample records for the topic "key assumptions product" 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

Vehicle Electrification is Key to Reducing Petroleum Dependency...  

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

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

302

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...

303

Key Publications - Natural Gas Regulation | Department of Energy  

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

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

304

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...

305

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

NLE Websites -- All DOE Office Websites (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...

306

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

NLE Websites -- All DOE Office Websites (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...

307

Energy use and carbon dioxide emissions in the steel sector in key developing countries  

SciTech Connect

Iron and steel production consumes enormous quantities of energy, especially in developing countries where outdated, inefficient technologies are still used to produce iron and steel. Carbon dioxide emissions from steel production, which range between 5 and 15% of total country emissions in key developing countries (Brazil, China, India, Mexico, and South Africa), will continue to grow as these countries develop and as demand for steel products such as materials, automobiles, and appliances increases. In this report, we describe the key steel processes, discuss typical energy-intensity values for these processes, review historical trends in iron and steel production by process in five key developing countries, describe the steel industry in each of the five key developing countries, present international comparisons of energy use and carbon dioxide emissions among these countries, and provide our assessment of the technical potential to reduce these emissions based on best-practice benchmarking. Using a best practice benchmark, we find that significant savings, in the range of 33% to 49% of total primary energy used to produce steel, are technically possible in these countries. Similarly, we find that the technical potential for reducing intensities of carbon dioxide emissions ranges between 26% and 49% of total carbon dioxide emissions from steel production in these countries.

Price, L.K.; Phylipsen, G.J.M.; Worrell, E.

2001-04-01T23:59:59.000Z

308

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

SciTech Connect

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

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

2013-04-01T23:59:59.000Z

309

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

310

Stocking Rate: The Key Grazing Management Decision  

E-Print Network (OSTI)

Stocking rate is the most important grazing management decision a rancher makes. This publication covers all the factors involved in determining an appropriate stocking rate, including rainfall and forage production, range condition, and the forage...

Lyons, Robert K.; Machen, Richard V.

2001-07-19T23:59:59.000Z

311

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

E-Print Network (OSTI)

Conservation Standards for Consumer Products: Room Air Conditioners, Water Heaters, Direct Heating Equipment, Mobile Home Furnaces, Kitchen Ranges and Ovens, Pool

Johnson, F.X.

2010-01-01T23:59:59.000Z

312

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

313

Host and Derivative Product Modeling and Synthesis  

E-Print Network (OSTI)

, implementation, and refinement of design methodologies is the notion that both the structure of the development process and the structure of the developed product are key factors in creating value in a firms product line. With respect to the latter key factor...

Davis, Matthew Louis Turner

2010-10-12T23:59:59.000Z

314

NREL builds community and industry support by addressing concerns voiced by key standards organizations.  

E-Print Network (OSTI)

NREL builds community and industry support by addressing concerns voiced by key standards standards developed through consensus processes. Because U.S. PV module safety stan- dards are not aligned with international standards, manufacturers must test their modules twice--and sometimes maintain separate product

315

Key Renewable Energy Opportunities for Oklahoma Tribes  

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

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

316

Vehicle Technologies Office: Key Activities in Vehicles  

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

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

317

Low-Power Public Key Cryptography  

SciTech Connect

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

318

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

319

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

320

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

Note: This page contains sample records for the topic "key assumptions product" 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

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

322

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

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

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...

323

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

324

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

325

The Potential of Cellulosic Ethanol Production from Municipal Solid Waste: A Technical and Economic Evaluation  

E-Print Network (OSTI)

key to unlocking low-cost cellulosic ethanol. 2(1):26-40.1995 19941216. Commercial ethanol production process.facility and commercial ethanol production process.

Shi, Jian; Ebrik, Mirvat; Yang, Bin; Wyman, Charles E.

2009-01-01T23:59:59.000Z

326

Residential Energy Efficiency Financing: Key Elements of Program Design  

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

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

327

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

328

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

329

Price Corrected Domestic Technology AssumptionA Method To Assess Pollution Embodied in Trade Using Primary Official Statistics Only. With a Case on CO2 Emissions Embodied in Imports to Europe  

Science Journals Connector (OSTI)

For various countries, it has been shown that apparent decoupling of CO2 emissions or primary material use from GDP growth is actually the result of the relocation of material and energy-intensive production abroad. ... Compiling MR EE IO databases demands a high level of harmonization and consolidation of different data sources which often conflict (e.g., trade statistics usually differ from trade data in SUIOT). ... Figure 3. CO2 emissions per capita, 20002006: (a) emitted at EU27 territory; (b) embodied in EU27 imports; (c) embodied in EU27 exports; and (d) embodied in EU27 domestic final demand, calculated with Domestic Technology Assumption (standard) and with price adjustments. ...

Arnold Tukker; Arjan de Koning; Richard Wood; Stephan Moll; Maaike C. Bouwmeester

2012-12-26T23:59:59.000Z

330

Measurements of Methane Emissions at Natural Gas Production Sites  

E-Print Network (OSTI)

Measurements of Methane Emissions at Natural Gas Production Sites in the United States #12;Why = 21 #12;Need for Study · Estimates of methane emissions from natural gas production , from academic in assumptions in estimating emissions · Measured data for some sources of methane emissions during natural gas

Lightsey, Glenn

331

President Obama Announces More Key Administration Posts | Department of  

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

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

332

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

333

Secret key distillation from shielded two-qubit states  

SciTech Connect

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

334

EIA cites importance of key world shipping routes  

SciTech Connect

A disruption of crude oil or products shipments through any of six world chokepoints would cause a spike in oil prices, the US Energy Information Administration (EIA) warns. The strategic importance of each major shipping lane varies because of differing oil volumes and access to other transportation routes. But nearly half of the 66 million b/d of oil consumed worldwide flows through one or more of these key tanker routes, involving: 14 million b/d through the Strait of Hormuz from the Persian Gulf to the Gulf of Oman and Arabian Sea; 7 million b/d through the Strait of Malacca from the northern Indian Ocean into the South China Sea and Pacific Ocean; 1.6 million b/d through the Bosporus from the Black Sea to the Mediterranean Sea; 900,000 b/d through the Suez Canal from the Red Sea to the Mediterranean Sea; 600,000 b/d through Rotterdam Harbor from the North Sea to Dutch and German refineries on or near the Rhine River; and 500,000 b/d through the Panama Canal from the Pacific Ocean to the Caribbean Sea. In today's highly interdependent oil markets, the mere perception of less secure oil supplies is enough to boost oil prices, EIA said. Growing oil and product tanker traffic is increasing the likelihood of supply disruptions through oil arteries because of bad weather, tanker collisions, or acts of piracy, terrorism, or war. What's more, the increasing age of the world tanker fleet and dependability of navigational equipment could increase chances of accidents and, therefore, oil supply disruptions.

Not Available

1994-03-07T23:59:59.000Z

335

Low mass dimuon production with the ALICE muon spectrometer.  

E-Print Network (OSTI)

??Low mass vector meson (?, ?,? ) production provides key information on the hot and dense state of strongly interacting matter produced in high-energy heavy (more)

Casula, Ester Anna Rita

2014-01-01T23:59:59.000Z

336

Chapter 8 - Signal Flow. The Keys to Directing Audio Traffic  

Science Journals Connector (OSTI)

A key component of audio engineering is to fully understand the analog model of signal flow, that is, how sound travels from the beginning to the end of its audio path. Much of audio engineering is troubleshooting different issues that occur during music production. Understanding signal flow can help you quickly pinpoint and solve a problem in order to keep a session running smoothly. When recording, the signal flow path starts where you plug in the microphone and ends at the speakers, or two-track recorder. Once this concept is understood, you will be able to hook up most gear, understand a patchbay, and troubleshoot yourself out of just about any mess! Knowing the analog model of signal flow will translate to almost any audio situation. Don't get frustrated if you don't fully understand the concept at first. It usually takes some experience and practical application to totally grasp signal flow. Keywords: A/D Converters and Audio, Analog Model of Signal Flow, Applying Signal Flow, Eight-track, Four-track, Gain, Interfaces, Laptop, Laptop with Audio Interface, Setting Levels, Signal Flow, Structure, Units

Timothy A. Dittmar

2012-01-01T23:59:59.000Z

337

Hydrogen Production Infrastructure Options Analysis  

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

Production Production Infrastructure Options Analysis January 26, 2006 Brian D. James Julie Perez Peter Schmidt (703) 243 - 3383 Brian_James@DirectedTechnologies.com Directed Technologies, Inc. Page 1 of 39 26 January 2006 2006-1-26 DOE Transition Workshop Agenda 1. Project Description and Objective 2. Team Members 3. Approach 4. Model Theory, Structure and Assumptions 5. Model Description 1. Logic 2. Features 3. Cost Components (Production, Delivery & Dispensing) 6. Los Angeles Transitional Example 7. Model Flexibility Page 2 of 39 26 January 2006 2006-1-26 DOE Transition Workshop Team Members & Interactions Start: May 2005 (effective) End: Summer 2007 * Directed Technologies, Inc.- Prime * Sentech, Inc., Research Partner * Air Products, Industrial Gas Supplier * Advisory Board * Graham Moore, Chevron Technology Ventures

338

Expert Meeting Report: Key Innovations for Adding Energy Efficiency to Maintenance Projects  

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

Key Innovations for Key Innovations for Adding Energy Efficiency to Maintenance Projects A. Wood and J. Wiehagen NAHB Research Center September 2012 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, subcontractors, or affiliated partners makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply

339

IONICALLY CONDUCTING MEMBRANES FOR HYDROGEN PRODUCTION AND  

E-Print Network (OSTI)

operating experience. #12;ELTRON RESEARCH INC. Syngas Production Rate ­ 60 mL/min cm2 @ 900°C Equivalent O2IONICALLY CONDUCTING MEMBRANES FOR HYDROGEN PRODUCTION AND SEPARATION Presented by Tony Sammells for Hydrogen Production ­ Compositions ­ Feedstocks ­ Performance ­ Key Technical Hurdles · Membranes

340

Product platform design and customization: Status and promise  

Science Journals Connector (OSTI)

In an effort to improve customization for today's highly competitive global marketplace, many companies are utilizing product families and platform-based product development to increase variety, shorten lead times, and reduce costs. The key to a successful ... Keywords: Mass Customization, Product Family, Product Platform, Product Variety

Timothy W. Simpson

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "key assumptions product" 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

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

342

President Obama Announces More Key Administration Posts | Department of  

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

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

343

President Obama Announces More Key Administration Posts | Department of  

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

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

344

Florida Keys Electric Cooperative - Residential Rebate Program | Department  

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

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

345

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...

346

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

NLE Websites -- All DOE Office Websites (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...

347

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

NLE Websites -- All DOE Office Websites (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...

348

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

349

Researchers find potential key for unlocking biomass energy  

NLE Websites -- All DOE Office Websites (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...

350

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

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

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

351

LANL breaks ground on key sediment control project  

NLE Websites -- All DOE Office Websites (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...

352

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...

353

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"...

354

Water dynamics clue to key residues in protein folding  

SciTech Connect

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

355

Hydrodynamic experiment provides key data for Stockpile Stewardship  

NLE Websites -- All DOE Office Websites (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...

356

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...

357

Assessment of Plutonium-238 (Pu-238) Production Alternatives  

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

Plutonium-238 Plutonium-238 Production Alternatives Briefing for Nuclear Energy Advisory Committee April 21, 2008 Dennis Miotla Deputy Assistant Secretary for Nuclear Power Deployment Miotla - April 2008 NEAC Mtg - DM183874 (2) Statement of Work Desired end state: - Reliable, sustainable, affordable supply of Pu-238 suitable for NASA applications Assumptions: - NASA obtains funding for planned missions - Russia is out of material to sell to US - DOE maintains balance of radioisotope power source infrastructure during period of depleted supply Independently evaluate the Pu-238 heat source requirements for NASA's mission projections and assess Pu-238 production assumptions, strategy and alternatives for meeting those requirements Miotla - April 2008 NEAC Mtg - DM183874 (3)

358

Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices  

E-Print Network (OSTI)

Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices R. Shioda L. Tun for pricing a product line with several customer segments under the assumption that customers' product choices utility model and formulate it as a mixed-integer programming problem, design heuristics and valid cuts

Tunçel, Levent

359

Approaches for identifying consumer preferences for the design of technology products : a case study of residential solar panels .  

E-Print Network (OSTI)

??This thesis investigates ways to obtain consumer preferences for technology products to help designers identify the key attributes that contribute to a product's market success. (more)

Chen, Heidi Qianyi

2012-01-01T23:59:59.000Z

360

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

Note: This page contains sample records for the topic "key assumptions product" 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

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

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

362

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

363

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

364

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

365

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

366

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

367

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

368

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

369

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

370

Development of a tool dedicated to the evaluation of hydrogen term source for technological Wastes: assumptions, physical models, and validation  

SciTech Connect

In radioactive waste packages hydrogen is generated, in one hand, from the radiolysis of wastes (mainly organic materials) and, in the other hand, from the radiolysis of water content in the cement matrix. In order to assess hydrogen generation 2 tools based on operational models have been developed. One is dedicated to the determination of the hydrogen source term issues from the radiolysis of the wastes: the STORAGE tool (Simulation Tool Of Emission Radiolysis Gas), the other deals with the hydrogen source term gas, produced by radiolysis of the cement matrices (the Damar tool). The approach used by the STORAGE tool for assessing the production rate of radiolysis gases is divided into five steps: 1) Specification of the data packages, in particular, inventories and radiological materials defined for a package medium; 2) Determination of radiochemical yields for the different constituents and the laws of behavior associated, this determination of radiochemical yields is made from the PRELOG database in which radiochemical yields in different irradiation conditions have been compiled; 3) Definition of hypothesis concerning the composition and the distribution of contamination inside the package to allow assessment of the power absorbed by the constituents; 4) Sum-up of all the contributions; And finally, 5) validation calculations by comparison with a reduced sampling of packages. Comparisons with measured values confirm the conservative character of the methodology and give confidence in the safety margins for safety analysis report.

Lamouroux, C. [CEA Saclay, Nuclear Energy Division /DANS, Department of physico-chemistry, 91191 Gif sur yvette (France); Esnouf, S. [CEA Saclay, DSM/IRAMIS/SIS2M/Radiolysis Laboratory , 91191 Gif sur yvette (France); Cochin, F. [Areva NC,recycling BU, DIRP/RDP tour Areva, 92084 Paris La Defense (France)

2013-07-01T23:59:59.000Z

371

President Obama Announces More Key Administration Posts | Department of  

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

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

372

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

373

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

374

Analysis of the Past and Future Trends of Energy Use in Key Medium- and  

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

the Past and Future Trends of Energy Use in Key Medium- and the Past and Future Trends of Energy Use in Key Medium- and Large-Sized Chinese Steel Enterprises, 2000-2030 Title Analysis of the Past and Future Trends of Energy Use in Key Medium- and Large-Sized Chinese Steel Enterprises, 2000-2030 Publication Type Report LBNL Report Number LBNL-6380E Year of Publication 2013 Authors Hasanbeigi, Ali, Zeyi Jiang, and Lynn K. Price Date Published 09/2013 Publisher Lawrence Berkeley National Laboratory Keywords china, decomposition, iron and steel industry, Low Emission & Efficient Industry Abstract The iron and steel industry is one of the most energy-intensive and polluting industries in China. This industry accounted for approximately 27% of China's primary energy use for the manufacturing industry in 2010. Also, China's steel production represented around 47% of the world steel production that year. Hence, reducing energy use and air pollutant emissions from the Chinese steel industry not only has significant implications for China but also for the entire world. For this reason, it is crucial and it is the aim of this study to analyze influential factors that affected the energy use of the steel industry in the past in order to try to quantify the likely effect of those factors in the future.

375

Authenticated group Diffie-Hellman key exchange: theory and practice  

SciTech Connect

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

Chevassut, Olivier

2002-10-03T23:59:59.000Z

376

The licensing of patents in return for a fee or royalties has a key role in drug discovery.  

E-Print Network (OSTI)

The licensing of patents in return for a fee or royalties has a key role in drug discovery. Now the licensee brings out a new product, it may be unclear whether they need to pay royalty fees to the patentee patents in exchange for royalty payments; however, they disputed whether the licence of two patents

Cai, Long

377

Product Life Cycle, and Market Entry and Exit Decisions Under Uncertainty  

E-Print Network (OSTI)

A key characteristic of the product life cycle (PLC) is the depletion of the products market potential due to technological obsolescence. Based on this concept, we develop a stochastic model for evaluating market entry and exit decisions during...

Chi, Tailan; Liu, John

2001-01-01T23:59:59.000Z

378

Feasibility of Steam Hydrogasification of Microalgae for Production of Synthetic Fuels  

E-Print Network (OSTI)

in commercial for syngas production. The partial H 2 isThe syngas ratio is a key parameter in the production ofSyngas is produced from steam hydrogasification and plays an important role as an intermediate in the production

Suemanotham, Amornrat

2014-01-01T23:59:59.000Z

379

The Electricity Transmission System Opportunities to Overcome Key Challenges  

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

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

380

Development of a public key infrastructure across multiple enterprises  

SciTech Connect

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

Note: This page contains sample records for the topic "key assumptions product" 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

Potential Benefits from Improved Energy Efficiency of Key Electrical Products: The Case of India  

E-Print Network (OSTI)

Thermal Heat Rate Transmission and Distribution Losses Heatheat rate -- the power plant fuel input needed to produce one unit of electricity, and transmission and distribution lossesheat rate, the power plant fuel input needed to produce one unit of electricity, and transmission and distribution losses

McNeil, Michael; Iyer, Maithili; Meyers, Stephen; Letschert, Virginie; McMahon, James E.

2005-01-01T23:59:59.000Z

382

Enzymatically based cellulosic ethanol production technology was selected as a key area for biomass  

E-Print Network (OSTI)

.g., crystallinity, degree of polymerization and accessible surface area) and soluble and insoluble biomass components (e.g., oligomeric xylan and lignin) released in pretreatment, and their effects

California at Riverside, University of

383

?-Lactones as Key Building Blocks: Synthetic Applications to Diverse Natural Products  

E-Print Network (OSTI)

(CDI), PyBOP,113 BOP, BOPCl, HATU, MNBA,114 Vederas method,115,116 DCC, CIP117 EDC, DEAD, and DIAD (Figure 9). A plethora of other reagents historically used for macrolactonizations or peptide couplings have frequently been employed for carboxylic...

Shirley, Morgan

2014-06-06T23:59:59.000Z

384

Potential Benefits from Improved Energy Efficiency of Key Electrical Products: The Case of India  

E-Print Network (OSTI)

Thus, reduced electricity consumption from higher efficiencyestimated the daily electricity consumption from a survey ofby total commercial electricity consumption. The price of

McNeil, Michael; Iyer, Maithili; Meyers, Stephen; Letschert, Virginie; McMahon, James E.

2005-01-01T23:59:59.000Z

385

An identification of financial and production performance variables as key indicators of dairy firm failure  

E-Print Network (OSTI)

Model 57 10 Maximum likelihood Estimates for Combined Model 61 LIST OF FIGURES Figure Page 1. Trend of Leverage Ratio 43 2. Trend of the Rate of Return on Assets 3. Probability of Success at Selected Levels of Days Open and Voluntary Culling Rates... asset values and a reduction in farm earning potential. Thus periods of price enhancement, and the following periods of adjustment lead to increased uncertainty and effect the financial performance and viability of a dairy producer. The most recent...

Law, James Michael

2012-06-07T23:59:59.000Z

386

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

387

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

388

U-268: Oracle Database Authentication Protocol Discloses Session Key  

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

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

389

Energy Secretary Bodman Commends Key Milestone In MOX Program | Department  

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

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

390

President Obama Announces More Key Administration Posts | Department of  

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

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

391

Department of Energy Announces Key Additions to Public Affairs Staff |  

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

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

392

U-268: Oracle Database Authentication Protocol Discloses Session Key  

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

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

393

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%

394

DOE Announces More Key Administration Posts | Department of Energy  

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

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

395

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

396

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

397

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

398

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

399

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

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

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...

400

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

Note: This page contains sample records for the topic "key assumptions product" 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

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

402

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

403

President Obama Announces More Key Administration Posts | Department of  

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

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

404

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

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

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

405

DOE Announces More Key Administration Posts | Department of Energy  

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

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

406

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

407

Security of quantum key distribution with arbitrary individual imperfections  

SciTech Connect

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

408

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

409

PRODUCTION OF CARBON PRODUCTS USING A COAL EXTRACTION PROCESS  

SciTech Connect

The purpose of this DOE-funded effort is to develop technologies for carbon products from coal-derived feedstocks. Carbon products can include precursor materials such as solvent extracted carbon ore (SECO) and synthetic pitch (Synpitch). In addition, derived products include carbon composites, fibers, foams and others. Key milestones included producing hydrogenated coal in the Hydrotreating Facility for the first time. The facility is now operational, although digital controls have not yet been completely wired. In addition, ultrasound is being used to investigate enhanced dissolution of coal. Experiments have been carried out.

Dady Dadyburjor; Chong Chen; Elliot B. Kennel; Liviu Magean; Peter G. Stansberry; Alfred H. Stiller; John W. Zondlo

2006-02-23T23:59:59.000Z

410

Material efficiency: providing material services with less material production  

Science Journals Connector (OSTI)

...fitting production functions to data related to a broad set of manufacturing...money flow. (This is clearly a big assumption, when energy prices...households voluntarily reduced electricity consumption by up to 15-20...computing, and as yet we have no data to support the (marketing...

2013-01-01T23:59:59.000Z

411

Analysis of K-Meson Production by p Annihilation  

Science Journals Connector (OSTI)

K-meson production by p annihilation has been investigated using an isobar model. A comparison of the predictions of this model with the experimental data excludes the assumption of an isobar state of (??) having a mass greater than three pion masses.

T. F. Hoang

1961-03-01T23:59:59.000Z

412

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

413

Relating horsepower to drilling productivity  

SciTech Connect

Many technological advancements have been made in explosive products and applications over the last 15 years resulting in productivity and cost gains. However, the application of total energy (engine horsepower) in the majority of rotary drilling technology, has remained virtually unchanged over that period. While advancements have been made in components, efficiency, and types of hydraulic systems used on drills, the application of current hydraulic technology to improve drilling productivity has not been interactive with end users. This paper will investigate how traditional design assumptions, regarding typical application of horsepower in current rotary drill systems, can actually limit productivity. It will be demonstrated by numeric analysis how changing the partitioning of available hydraulic energy can optimize rotary drill productivity in certain conditions. Through cooperative design ventures with drill manufacturers, increased penetration rates ranging from 20% to 100% have been achieved. Productivity was increased initially on some rigs by careful selection of optional hydraulic equipment. Additional gains were made in drilling rates by designing the rotary hydraulic circuit to meet the drilling energies predicted by computer modeling.

Givens, R.; Williams, G.; Wingfield, B.

1996-12-31T23:59:59.000Z

414

OPEC Crude Oil Production 1999-2001  

Gasoline and Diesel Fuel Update (EIA)

EIA assumes in its base case that OPEC 10 production averages about EIA assumes in its base case that OPEC 10 production averages about 0.6 million barrels per day less in the 1st quarter of 2001 than was produced in the 4th quarter of 2000. This is based on the assumption that beginning in February 2001, OPEC 10 production is 1 million barrels per day less than the estimate for December 2000. Over the course of the past year, worldwide oil production has increased by about 3.7 million barrels per day to a level of 77.8 million barrels per day in the last months of 2000. After being nearly completely curtailed in December 2000, EIA's base case assumes that Iraqi oil exports only partially return in January. By February, EIA assumes Iraqi crude oil production reaches 3 million barrels per day, roughly the peak levels reached last year.

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

Dynamical coupled-channels: the key to understanding resonances  

E-Print Network (OSTI)

Recent developments on a dynamical coupled-channels model of hadronic and electromagnetic production of nucleon resonances are summarized.

B. Julia-Diaz

2007-12-01T23:59:59.000Z

417

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

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

Storage: The Key to a Reliable, Clean Electricity Supply Storage: The Key to a Reliable, Clean Electricity Supply Energy Storage: The Key to a Reliable, Clean Electricity Supply February 22, 2012 - 4:52pm Addthis Improved energy storage technology offers a number of economic and environmental benefits. Improved energy storage technology offers a number of economic and environmental benefits. Matthew Loveless Matthew Loveless Data Integration Specialist, Office of Public Affairs What does this project do? ARPA-E's GRIDS program is investing in new technologies that make storing energy cheaper and more efficient. Energy storage isn't just for AA batteries any more. Thanks to investments from the Department's Advanced Research Projects Agency-Energy (ARPA-E), energy storage may soon play a bigger part in our electricity

418

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

419

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.

420

Managing Supply Chain Key for Hawaii Appliance Rebate Program | Department  

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

Managing Supply Chain Key for Hawaii Appliance Rebate Program Managing Supply Chain Key for Hawaii Appliance Rebate Program Managing Supply Chain Key for Hawaii Appliance Rebate Program August 24, 2010 - 10:00am Addthis Lindsay Gsell Hawaii's appliance rebate program delivered 4,300 rebates to Hawaiians in just three days. And on just the first day of program, almost 4,000 ENERGY STAR qualified refrigerators were sold. Funded by $1.2 million from the American Recovery and Reinvestment Act, the program delivered a proportionate number of $250 ENERGY STAR refrigerator rebates to six of Hawaii's islands: Oahu, Hawaii, Maui, Kauai, Lanai, and Molokai. "It takes a lot of help from manufacturers, distributors, retailers, hauling company, recyclers, advertisers, printers, new reporters, radio stations and television station to create a success story," said Derrick

Note: This page contains sample records for the topic "key assumptions product" 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

Managing Supply Chain Key for Hawaii Appliance Rebate Program | Department  

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

Managing Supply Chain Key for Hawaii Appliance Rebate Program Managing Supply Chain Key for Hawaii Appliance Rebate Program Managing Supply Chain Key for Hawaii Appliance Rebate Program August 24, 2010 - 10:00am Addthis Lindsay Gsell Hawaii's appliance rebate program delivered 4,300 rebates to Hawaiians in just three days. And on just the first day of program, almost 4,000 ENERGY STAR qualified refrigerators were sold. Funded by $1.2 million from the American Recovery and Reinvestment Act, the program delivered a proportionate number of $250 ENERGY STAR refrigerator rebates to six of Hawaii's islands: Oahu, Hawaii, Maui, Kauai, Lanai, and Molokai. "It takes a lot of help from manufacturers, distributors, retailers, hauling company, recyclers, advertisers, printers, new reporters, radio stations and television station to create a success story," said Derrick

422

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

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

Energy Storage: The Key to a Reliable, Clean Electricity Supply Energy Storage: The Key to a Reliable, Clean Electricity Supply Energy Storage: The Key to a Reliable, Clean Electricity Supply February 22, 2012 - 4:52pm Addthis Improved energy storage technology offers a number of economic and environmental benefits. Improved energy storage technology offers a number of economic and environmental benefits. Matthew Loveless Matthew Loveless Data Integration Specialist, Office of Public Affairs What does this project do? ARPA-E's GRIDS program is investing in new technologies that make storing energy cheaper and more efficient. Energy storage isn't just for AA batteries any more. Thanks to investments from the Department's Advanced Research Projects Agency-Energy (ARPA-E), energy storage may soon play a bigger part in our electricity

423

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

424

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

425

Turn Your Key, Be Idle Free | Department of Energy  

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

Turn Your Key, Be Idle Free Turn Your Key, Be Idle Free Turn Your Key, Be Idle Free April 13, 2010 - 7:30am Addthis Shannon Brescher Shea Communications Manager, Clean Cities Program What activity wastes gasoline, costs money, produces pollutants, and yet doesn't get you anywhere? Idling! And yet, every year, Americans waste 3 billion gallons of fuel by idling their vehicles. Idling is running a vehicle any time that it's not moving. In this condition, the car's fuel economy is exactly zero miles per gallon. Although many people think that restarting the engine too often will wear out the starter, that idea is just an "old husband's tale." In fact, idling places unnecessary wear-and-tear on the engine, and many manufacturers discourage it. Although drivers can't avoid some amount of idling, such as being stuck in

426

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

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

Ariz. Rooftops Key to Unlocking the Potential of Distributed Solar Ariz. Rooftops Key to Unlocking the Potential of Distributed Solar Ariz. Rooftops Key to Unlocking the Potential of Distributed Solar July 12, 2010 - 3:51pm Addthis APS will install solar photovoltaic panels like these in Castro Valley, Calif. for a pilot project studying distributed energy in Flagstaff, Ariz. | Photo courtesy of APS APS will install solar photovoltaic panels like these in Castro Valley, Calif. for a pilot project studying distributed energy in Flagstaff, Ariz. | Photo courtesy of APS Nestled in the mountains of northern Arizona and just 75 miles from Grand Canyon National Park, the city of Flagstaff, Ariz. is an ideal city for the Arizona Public Service (APS) to pilot a high concentration of solar photovoltaic energy systems. "Flagstaff is unique electrically," says Eran Mahrer, Director of Renewable

427

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

428

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

429

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

430

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.

431

Special Presentation: Key Findings from the Barrier Immune Radio  

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

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

432

Small Businesses Key in Hydropower Tech Advancement | Department of Energy  

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

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

433

Outer Continental Shelf Production  

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

Reference case projections. 3 The complete AEO2014, which was released in May, includes alternative assumptions regarding resources, technology advances, and world energy prices...

434

GREET Bioenergy Life Cycle Analysis and Key Issues for Woody...  

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

Production T&D Combustion LUC 5 g 5 g 5 g 3 g 11 g 1 g Sugarcane Ethanol: 30 g CO2eMJ (Energy allocation) Fertilizer Production Fertilizer N2O Farming Ethanol Production T&D...

435

Energy Critical Infrastructure and Key Resources Sector-Specific  

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

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

436

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

437

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

438

RMOTC - Production  

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

Production Production RMOTC Pumpjack in action During the process of the sale of NPR-3, RMOTC will focus on maximizing the value of the NPR-3 site and will continue with its Production Optimization Projects. NPR-3 includes 9,481 acres with more than 400 oil-producing wells. Current oil production is at approximately 240 barrels of oil per day. In July 2013, RMOTC began working on a number of Production Optimization Projects within the NPR-3 field, with the goal to optimize and improve flow and efficiency. Production Optimization Projects include repairing and replacing existing infrastructure with new infrastructure in order to optimize current wells and bring additional wells online. These Production Optimization Projects will continue throughout 2013 and are focused on improving current production and creating revenue for the America tax payer.

439

PRODUCTS & MATERIALS  

Science Journals Connector (OSTI)

...1995-96 Spectrum Chemical and Safety Prod-ucts Catalog features products for molecular and life science laboratories and cleanroom environments. Spectrum Chemical Manu-facturing. Circle 150. SCIENCE * VOL. 268 * 23 JUNE 1995

1995-06-23T23:59:59.000Z

440

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

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


441

The 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

442

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

SciTech Connect

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

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

2006-02-01T23:59:59.000Z

443

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.

444

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

445

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

446

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

447

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

448

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

449

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

450

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

451

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

452

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.

453

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

454

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

455

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

456

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

457

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

458

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

459

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

460

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.

Note: This page contains sample records for the topic "key assumptions product" 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

Bio-based C-3 Platform Chemical: Biotechnological Production and -Conversion of 3-Hydroxypropionaldehyde.  

E-Print Network (OSTI)

??Demands for efficient, greener, economical and sustainable production of chemicals, materials and energy have led to development of industrial biotechnology as a key technology area (more)

Rezaei, Roya

2013-01-01T23:59:59.000Z

462

Development of water production type curves for horizontal wells in coalbed methane reservoirs.  

E-Print Network (OSTI)

??Coalbed methane is an unconventional gas resource that consists of methane production from the coal seams. The key parameters for the evaluation of coalbed methane (more)

Burka Narayana, Praveen Kumar.

2007-01-01T23:59:59.000Z

463

OPEC Crude Oil Production 1999-2001  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: EIA assumes in its base case that OPEC 10 production averages about 0.6 million barrels per day less in the 1st quarter of 2001 than was produced in the 4th quarter of 2000. This is based on the assumption that beginning in February 2001, OPEC 10 production is 1 million barrels per day less than the estimate for December 2000. From the fourth quarter of 1999 to the 4th quarter of 2000, worldwide oil production increased by about 3.7 million barrels per day to a level of 77.8 million barrels per day. After being sharply curtailed in December 2000, EIA's base case assumes that Iraqi oil exports only partially return in January. By February, EIA assumes Iraqi crude oil production reaches 3 million barrels per day, roughly the peak levels reached last year.

464

OPEC Crude Oil Production 1998-2001  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: EIA assumes in its base case that OPEC 10 production averages about 0.6 million barrels per day less in the 1st quarter of 2001 than was produced in the 4th quarter of 2000. This is based on the assumption that beginning in February 2001, OPEC 10 production is 1 million barrels per day less than the estimate for December 2000. From the fourth quarter of 1999 to the 4th quarter of 2000, worldwide oil production increased by about 3.8 million barrels per day to a level of 77.9 million barrels per day. After being sharply curtailed in December and January, EIA's base case assumes that Iraqi oil exports return closer to more normal levels in February. By the second half of 2001, EIA assumes Iraqi crude oil production reaches 3 million barrels per day, roughly the peak levels

465

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

466

Turbulence may be key to "fast magnetic reconnection" mystery  

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

near Hatch, New Mexico. Lab scientist from Espaola provides technical assistance to small New Mexico businesses November, 1 2014 - Wind, solar and hydro energy production can...

467

Key changes in proteins occur in cyanobacteria | EMSL  

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

proteins occur in cyanobacteria Identification of redox-sensitive enzymes can enrich biofuel production research Overview of the chemical biology technique used by PNNL...

468

Petroleum Refining Operations: Key Issues, Advances, and Opportunities  

Science Journals Connector (OSTI)

A typical petroleum industry supply chain is composed of an exploration phase at the wellhead, crude procurement and storage logistics, transportation to the refineries, refinery operations, and distribution and delivery of its products (Figure 1). ... This network is used to transport crude from wellhead to refinery for processing, to transport intermediates between multisite refining facilities, and to transport finished products from product storage tanks to distribution centers and finally to the customers. ... In common-carrier pipelines, however, several refineries located at different sites use the same trunk line for shipping refined petroleum products to downstream output terminals. ...

Nikisha K. Shah; Zukui Li; Marianthi G. Ierapetritou

2010-12-10T23:59:59.000Z

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

President Obama Announces More Key Administration Posts | Department of  

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

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:

471

President Obama Announces More Key Administration Posts | Department of  

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

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

472

Contributions to Key Energy Conversion Technologies and Advanced Methods  

NLE Websites -- All DOE Office Websites (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

473

President Obama Announces More Key Administration Posts | Department of  

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

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,

474

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

475

Secure password-based authenticated key exchange for web services  

SciTech Connect

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

476

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

477

THIS GUIDE IS INTENDED TO PROVIDE KEY INFORMATION to  

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

THIS GUIDE IS INTENDED TO PROVIDE KEY INFORMATION to 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

478

Key Elements of and Materials Performance Targets for Highly Insulating  

NLE Websites -- All DOE Office Websites (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.

479

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

480

PRODUCTS & MATERIALS  

Science Journals Connector (OSTI)

...Phar-macia Biotech. Circle 141. Cell Culture Production The CellCube offers the fastest, most com-pact system available for high-volume...culture production, according to the manu-facturer. The CellCube not only saves up to four times the space of roller bottles...

1995-08-04T23:59:59.000Z

Note: This page contains sample records for the topic "key assumptions product" 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

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

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

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

482

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...

483

Life Cycle Analysis of the Production of Aviation Fuels Using the CE-CERT Process  

E-Print Network (OSTI)

production and supply to keep pace with the growth in world energy.production scenarios, Energy Policy, 2009, 37, 10, p4003-4010 8 International Energy Agency (IEA), Key World

Hu, Sangran

2012-01-01T23:59:59.000Z

484

Refinery Production Planning: Multiperiod MINLP with Nonlinear CDU  

E-Print Network (OSTI)

as integrated planning and scheduling refinery operation models are recognized as key 1 Refinery Production Planning: Multiperiod MINLP with Nonlinear CDU Model-Rivera (2011) developed a single-period, nonlinear programing refinery planning model

Grossmann, Ignacio E.

485

Financial Management: The Key to Farm-Firm Business Management  

E-Print Network (OSTI)

Those who succeed will manage their operations as farm/ranch businesses, with more emphasis on recordkeeping, planning, profitability analysis and repayment-based financing, and with better production and business monitoring and controls...

Pena, Jose G.; Klinefelter, Danny A.

2008-10-17T23:59:59.000Z

486

Independent Statistics & Analysis Drilling Productivity Report  

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

Independent Statistics & Analysis Independent Statistics & Analysis Drilling Productivity Report The six regions analyzed in this report accounted for nearly 90% of domestic oil production growth and virtually all domestic natural gas production growth during 2011-12. December 2013 For key tight oil and shale gas regions U.S. Energy Information Administration Contents Year-over-year summary 2 Bakken 3 Eagle Ford 4 Haynesville 5 Marcellus 6 Niobrara 7 Permian 8 Explanatory notes 9 Sources 10 Bakken Marcellus Niobrara Haynesville Eagle Ford Permian U. S. Energy Information Administration | Drilling Productivity Report 0 400 800 1,200 1,600 2,000 Bakken Eagle Ford Haynesville

487

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Backorders Under the (R,r) Policy  

E-Print Network (OSTI)

IPA Derivatives for Make-to-Stock Production-Inventory Systems With Backorders Under the (R Infinitesimal Perturbation Analysis (IPA) in the class of Make-to Stock (MTS) production-inventory systems regularity assumptions. The paper then analyzes the SFM counterpart and derives closed-form IPA derivative

488

Transformational Energy Action Management (TEAM) Wireless Energy Efficiency Keys Initiative  

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

by by Transformational Energy Action Management (TEAM) Wireless Energy Efficiency Keys Initiative *Ways of Using Wireless Technology to Help You Reduce Energy Usage at your Facility Together with our industry partners, we strive to: * Accelerate adoption of the many energy-efficient technologies and practices available today * Conduct vigorous technology innovation to radically improve future energy diversity, resource efficiency, and carbon mitigation * Promote a corporate culture of energy efficiency and carbon management What Is the Industrial Technologies Program ? The Industrial Technologies Program (ITP) is the lead federal agency responsible for improving energy efficiency in the largest energy-using sector of the country. Industrial Sector National Initiative

489

Local structures - key to improved gas adsorption in carbon materials |  

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

Functional Materials for Energy Functional Materials for Energy Local structures - key to improved gas adsorption in carbon materials September 23, 2013 (Inset, top left) A simulated disordered carbon structure. (Inset, bottom right) Same structure, with dense colored regions showing the strongest adsorption positions. (Main figure) Isosteric heat of adsorption as a function of carbon density, showing the strong change of adsorption with pore size. Combined results from electron microscopy, neutron scattering, and theory, illustrate the link between local structures and adsorption properties in carbon materials. The achieved understanding at the atomic scale is a crucial step towards predicting and designing materials with enhanced gas adsorption properties, with important implications for applications such as

490

Decoy-state quantum key distribution using homodyne detection  

SciTech Connect

In this paper, we propose to use the decoy-state technique to improve the security of the quantum key distribution (QKD) systems based on homodyne detection against the photon number splitting attack. The decoy-state technique is a powerful tool that can significantly boost the secure transmission range of the QKD systems. However, it has not yet been applied to the systems that use homodyne detection. After adapting this theory to the systems based on homodyne detection, we quantify the secure performance and transmission range of the resulting system.

Shams Mousavi, S. H. [Ecole Superieure d'Electricite (Supelec), Photonic and Communication Systems, 2 rue Edouard Belin, 57070 Metz (France); Gallion, P. [TELECOM ParisTech, Ecole Nationale Superieure des Telecommunications, CNRS LTCI UMR 5141, 46 rue Barrault, 75013 Paris (France)

2009-07-15T23:59:59.000Z

491

Secure Quantum Key Distribution using Continuous Variables of Single Photons  

Science Journals Connector (OSTI)

We analyze the distribution of secure keys using quantum cryptography based on the continuous variable degree of freedom of entangled photon pairs. We derive the information capacity of a scheme based on the spatial entanglement of photons from a realistic source, and show that the standard measures of security known for quadrature-based continuous variable quantum cryptography (CV-QKD) are inadequate. A specific simple eavesdropping attack is analyzed to illuminate how secret information may be distilled well beyond the bounds of the usual CV-QKD measures.

Lijian Zhang; Christine Silberhorn; Ian A. Walmsley

2008-03-18T23:59:59.000Z

492

2014 CATEE: Collaboration is the Key- Public/Private Partnerships  

E-Print Network (OSTI)

, Texas Nov. 18-20 HGOC Education and Outreach ? District Meetings ? Peer Exchange ? Workshops ? Webinars ? One-on-One Trainings ? Newsletters ? Social media ESL-KT-14-11-24 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18...2014 CATEE Collaboration is the Key - Public/Private Partnerships November 19, 2014 Lisa Lin, Sustainability Manager, City of Houston ESL-KT-14-11-24 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 City of Houston...

Lin, L.

2014-01-01T23:59:59.000Z

493

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

494

Accelerating Cosmologies with Extended Product Spaces  

E-Print Network (OSTI)

Accelerating cosmologies in extra dimensional spaces have been studied. These extra dimensional spaces are products of many spaces. The physical behaviors of accelerating cosmologies are investigated from Einstein's field equation in higher dimensional Friedmann-Robertson-Walker (FRW) universe and superstring/M theory points of view. It is found that if some assumptions of flatness are made for sector of the FRW universe, the remaining sector needs to be hyperbolic. These properties are in parallel with those found in the model of superstring/M theory. The extended product made for the superstring model did not show any more new features other than those already found. A similar accelerating phase of this product space cosmology was found with difference in numerical values of the accelerating period.

Han Siong Ch'ng

2008-10-15T23:59:59.000Z

495

DOE Joint Genome Institute: Fungal Map of Mutations Key to Increasing  

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

September 1, 2009 September 1, 2009 Fungal Map of Mutations Key to Increasing Enzyme Production for Bioenergy Use Download a podcast of this release! WALNUT CREEK, CA-In half a century, one fungus has gone from being the bane of the Army quartermasters' existence in the Pacific to industry staple and someday, as part of the U.S. Department of Energy's mission to promote national energy security through clean, renewable energy development, a biofuel producers' best friend. Trichoderma reesei's makeover is due in part to scientific explorations that led to the development of mutant fungal strains that produce large quantities of biomass-degrading enzymes. T. reesei Image: T. reesei, courtesy of Irma Salovuori, VTT Biotechnology Now an international team of researchers led by scientists at the DOE Joint

496

Research on marketing in emerging firms: key issues and open questions  

Science Journals Connector (OSTI)

In many industries, emerging firms derive their initial strength from R&D activities. Though technological capabilities are important for building technologically sound products, they are not sufficient for turning an emerging firm into a viable economic actor, as numerous examples illustrate. Based on a discussion of the specific challenges of marketing in new ventures and a brief overview on past and current research studies, this article focuses on reviewing research findings on four key topics: establishing a market orientation, building credibility and trust with stakeholders, establishing marketing alliances and low-cost marketing. Though previous research has produced important insights into each of these topics, there are still plenty of issues that offer promising opportunities for future studies.

Marc Gruber

2003-01-01T23:59:59.000Z

497

New Products  

Science Journals Connector (OSTI)

...security of unmatched sample traceability. Manufactured from high-quality polypropylene in a fully automated class-7 cleanroom environment ensures the laser-etched alphanumeric tubes exhibit absolute product consistency, near-zero contaminants...

2013-01-11T23:59:59.000Z

498

New Products  

Science Journals Connector (OSTI)

...bind cells and biomolecules through passive hydrophobic interactions. Molded from ultrapure polystyrene in a class 100,000 cleanroom production environment, the untreated culture plates are supplied with lids in individual sterile packs. The plates include...

2013-06-28T23:59:59.000Z

499

Production Materials  

Science Journals Connector (OSTI)

It is obvious that we must bring a number of things into our controlled environment besides clean conditioned air, equipment, and ultrapure water. If we are to do any production work, or research involving the pr...

M. Kozicki; S. Hoenig; P. Robinson

1991-01-01T23:59:59.000Z

500

New Products  

Science Journals Connector (OSTI)

...Finally, as a personal pipetting system, Liquidator 96 fits any benchtop or laminar-flow cabinet making it suitable for cleanroom conditions. Mettler Toledo For info: 800-472-4646 www.mt.com/liquidator Electronically submit your new product...

2014-01-03T23:59:59.000Z