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1

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

2

Technology Transfer award funding data* Figure 1. Current Technology Transfer awards  

E-Print Network (OSTI)

6 1 4 3 48 23 30 10 Technology Transfer award funding data* Figure 1. Current Technology Transfer awards Numbers represent active grants as at 1 October 2013 Figure 2. Technology Transfer award Transfer funding division. In the 2012/13 financial year Technology Transfer approved awards worth a total

Rambaut, Andrew

3

JOURNAL OF LIGHTWAVE TECHNOLOGY, VOL. 31, NO. 19, OCTOBER 1, 2013 3181 Noise Figure in Near-Infrared Amorphous and  

E-Print Network (OSTI)

JOURNAL OF LIGHTWAVE TECHNOLOGY, VOL. 31, NO. 19, OCTOBER 1, 2013 3181 Noise Figure in Near-Infrared, Senior Member, IEEE Abstract--The noise figures (NF) of near-infrared (near-IR) amorphous silicon (a Amorphous and Mid-Infrared Crystalline Silicon Optical Parametric Amplifiers Jichi Ma and Sasan Fathpour

Fathpour, Sasan

4

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

5

Price Corrected Domestic Technology Assumption—A 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, 2000–2006: (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

6

4-114 The volume of chamber 1 of the two-piston cylinder shown in the figure is to be determined. Assumptions At specified conditions, helium behaves as an ideal gas.  

E-Print Network (OSTI)

4-63 4-114 The volume of chamber 1 of the two-piston cylinder shown in the figure the forces acting on the piston in the vertical direction gives kPa8.248 10 4 kPa)1555( 22 1 2 2 1 2 21

Bahrami, Majid

7

Figure legends supplemental figures Supplemental figure 1.  

E-Print Network (OSTI)

; Kruskal-Wallis-test). Supplemental figure 3. (a) Survival of GFAPcre+/VHL+f/+f /VEGF+f/+f mice (n=19

Kleinfeld, David

8

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

9

Figure S.1  

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

2- Figures and Table 2.1 2- Figures and Table 2.1 Figure S.1 Figure 1.1 Figure 1.2 Figure 1.3 Figure 2.1 Figure 2.2 Figure 2.3 Figure 3.1 Figure 3.2 Figure 3.3 Figure 3.4 Figure 3.5 Figure 3.6 Figure 3.7 Figure 3.8 Figure 3.9 Figure 3.10 Figure 3.11 Figure 3.12 Figure 3.13 Figure 3.14 Figure 3.15 Figure 3.16 Figure 3.17 Figure 3.18 Figure 3.19 Figure 4.1 Figure 4.2 Figure 4.3 Figure 4.4 Figure 4.5 Figure 4.6 Figure 4.7 Figure 4.8 Figure 4.9 Figure 4.10 Figure 4.11 Figure 4.12 Figure 4.13 Figure 4.14 Figure 4.15 Figure 4.16 Figure 4.17 Figure 4.18 Figure 4.19 J.1 Lewiston Stage Contents Relationship (NOT AVAILABLE IN ELECTRONIC FORMAT) J.2 Keswick Stage Contents Relationship (NOT AVAILABLE IN ELECTRONIC FORMAT) J.3 Natoma Stage Contents Relationship (NOT AVAILABLE IN ELECTRONIC

10

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.

11

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

12

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.

13

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.

14

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.

15

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.

16

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.

17

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

18

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

19

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

20

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

Note: This page contains sample records for the topic "technology assumptions figure" 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

Biaxial Interference Figures  

Science Journals Connector (OSTI)

Biaxial interference figures are similar to uniaxial figures but show more variety in the shape and movement of isogyres. Biaxial figures often contain only a single isogyre, which is not always parallel to a ...

Richard E. Stoiber; Stearns A. Morse

1994-01-01T23:59:59.000Z

22

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

23

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

24

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...

25

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.

26

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.

27

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

28

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

29

Technolog  

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

Research in Research in Science and Technolog y Sandia pushes frontiers of knowledge to meet the nation's needs, today and tomorrow Sandia National Laboratories' fundamental science and technology research leads to greater understanding of how and why things work and is intrinsic to technological advances. Basic research that challenges scientific assumptions enables the nation to push scientific boundaries. Innovations and breakthroughs produced at Sandia allow it to tackle critical issues, from maintaining the safety, security and effectiveness of the nation's nuclear weapons and preventing domestic and interna- tional terrorism to finding innovative clean energy solutions, develop- ing cutting-edge nanotechnology and moving the latest advances to the marketplace. Sandia's expertise includes:

30

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.

31

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.

32

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.

33

MECS Fuel Oil Figures  

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

: Percentage of Total Purchased Fuels by Type of Fuel : Percentage of Total Purchased Fuels by Type of Fuel Figure 1. Percent of Total Purchased Fuel Sources: Energy Information Administration. Office of Energy Markets and End Use, Manufacturing Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures (ASM): Statistics for Industry Groups and Industries: Statistical Abstract of the United States. Note: The years below the line on the "X" Axis are interpolated data--not directly from the Manufacturing Energy Consumption Survey or the Annual Survey of Manufactures. Figure 2: Changes in the Ratios of Distillate Fuel Oil to Natural Gas Figure 2. Changes in the Ratios of Distillate Fuel Oil to Natural Gas Sources: Energy Information Administration. Office of

34

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

35

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),

36

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

37

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

38

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

39

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.

40

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

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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

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

42

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.

43

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

44

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

45

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.

46

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,

47

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

48

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

49

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

50

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.

51

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

52

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

53

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

2 2 The commercial module forecasts consumption by fuel 13 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 14 for eleven building categories 15 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

54

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

55

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

56

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.

57

2008 Solar Technologies Market Report  

E-Print Network (OSTI)

Department of Energy. Solar Technologies Program and LoanRenewable Energy 2008 SOLAR TECHNOLOGIES MARKET REPORTinvestments by solar technology 108 Figure 5.4.

Price, S.

2010-01-01T23:59:59.000Z

58

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

59

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

60

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.

Note: This page contains sample records for the topic "technology assumptions figure" 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

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.

62

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.

63

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.

64

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

65

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).

66

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 EnergyÂ’s Office of Policy and International Affairs, other DOE offices, and other government agencies.

67

Figure 1:Energy Consumption in USg gy p 1E Roberts, Energy in US  

E-Print Network (OSTI)

Fluctuations and Global Events 14E Roberts, Energy in US DOE: 2011 Vehicle Technology Market Report #12;Figure 15: Effect of Oil Prices on US Economy 15E Roberts, Energy in US DOE: 2011 Vehicle Technology MarketFigure 1:Energy Consumption in USg gy p 2008 1E Roberts, Energy in US Source: www.eia.gov #12

Sutton, Michael

68

The synthesis of sound figures  

Science Journals Connector (OSTI)

In this paper we discuss a novel technique to control the spatial distribution of sound level within a synthesized sound field. The problem is formulated by separating the sound field into regions with high acoustic level, so-called bright regions, and ... Keywords: Multichannel sound reproduction, Quiet zones, Sound field synthesis, Sound figures

Karim Helwani; Sascha Spors; Herbert Buchner

2014-04-01T23:59:59.000Z

69

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

70

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.

71

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...

72

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

73

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

74

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

75

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

76

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.

77

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

78

EIS-0268-Figures-1997.pdf  

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

DOFJ'EIS-0268 DOFJ'EIS-0268 - PKw.2F Figure 4-L L-Lake and environs. 4-3 -- =----- 90 --m--- -m- EAST o (C.nti""ed O"figure 4.4b) AA 320 1 300 1 Fourmile Indian Grave Upland Pen Branch Brench Formation Branch 280 ~ 280 240 : E -220 ~ L 200 180 I 160 140 1 I I 1 2 3 4 5 Miles Legend: _ _ Inferredcontact Note:TO converito kilometersmultiply by 1.609 to convetito metersmultiply by0.304e Figure 4-4a. Generalized geologic cross section from Fourmile Branch to L DO~IS-0268 I t" 1 I I t 4-8 DOE/EIS-0268 I 4-60 I t t i I I DOE/EIS-0268 ,. ,. 4-61 DOE/EIS-0268 ,. ,,.':, .. ,.. , 4-62 I 1 I I I DOE/EIS-0268 4-63 DOEI'EIS-0268 ., . . 4-64 I I 1 B I I I m 1 I I I I 1 I I I m I DOE~IS-0268 4-65 DO~IS-0268 Radon in homes: 200 millirem per year Notes me major contributor to the annual average individual dose in the United StaIeS, [ncluti"g residents of the Central Savannah River Area, is naturally occuning radiation

79

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

80

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.

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81

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).

82

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).

83

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.

84

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)

85

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

86

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

87

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

88

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

89

Assumptions to the Annual Energy Outlook  

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, sport utility vehicles and vans), commercial light trucks (8501-10,000 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.

90

Microsoft Word - figure_20.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 0 2 4 6 8 10 12 14 16 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 Sources: Nominal dollars: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-910, "Monthly Natural Gas Marketer Survey." Constant dollars: Prices were converted to 2005 dollars using the chain-type price indexes for Gross Domestic Product (2005 = 1.0) as published by the U.S. Department of Commerce, Bureau of Economic Analysis. dollars per thousand cubic feet base year Figure 21. Average price of natural gas delivered to residential consumers, 1980-2011 nominal dollars

91

Microsoft Word - figure_15.doc  

Gasoline and Diesel Fuel Update (EIA)

38 38 0 2 4 6 8 10 2002 2003 2004 2005 2006 Trillion Cubic Feet 0 50 100 150 200 250 Billion Cubic Meters Residential Commercial Industrial Electric Power Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-906, "Power Plant Report." Figure 15. Natural Gas Delivered to Consumers in the United States, 2002-2006 Cautionary Note: Number of Residential and Commercial Consumers The Energy Information Administration (EIA) expects that there may be some double counting in the number of residential and commercial customers reported for 2002 through 2006. EIA collects information on the number of residential and commercial consumers through a survey of companies that deliver gas

92

Microsoft Word - figure_18.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 0 2 4 6 8 10 12 14 2001 2002 2003 2004 2005 Dollars per Thousand Cubic Feet 0 40 80 120 160 200 240 280 320 360 400 440 Dollars per Thousand Cubic Meters Residential Commercial Industrial Electric Power Vehicle Fuel Figure 18. Average Price of Natural Gas Delivered to Consumers in the United States, 2001-2005 Note: Coverage for prices varies by consumer sector. See Appendix A for further discussion on consumer prices. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Federal Energy Regulatory Commission (FERC), Form FERC-423, "Monthly Report of Cost and Quality of Fuels for

93

Microsoft Word - figure_13.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 13. Net Interstate Movements, Imports, and Exports of Natural Gas in the United States, 2007 (Million Cubic Feet) Nigeria Algeria 37,483 WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico C a n a d a C a n a d a Canada Canada Canada Canada Canada Algeria Canada Canada i i N g e r a Gulf of Mexico Gulf o f M e x i c o Gulf of Mexico Canada Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and the Office of Fossil Energy, Natural Gas Imports and Exports.

94

Microsoft Word - figure_15.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 0 2 4 6 8 10 2003 2004 2005 2006 2007 Trillion Cubic Feet 0 50 100 150 200 250 Billion Cubic Meters Residential Commercial Industrial Electric Power Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-906, "Power Plant Report"; Form EIA-920, "Combined Heat and Power Plant Report"; and Form EIA-923, "Power Plant Operations Report." Figure 15. Natural Gas Delivered to Consumers in the United States, 2003-2007 Cautionary Note: Number of Residential and Commercial Consumers The Energy Information Administration (EIA) expects that there may be some double counting in the number of residential and commercial customers reported for 2003 through 2007.

95

PHOBOS Experiment: Figures and Data  

DOE Data Explorer (OSTI)

PHOBOS consists of many silicon detectors surrounding the interaction region. With these detectors physicists can count the total number of produced particles and study the angular distributions of all the products. Physicists know from other branches of physics that a characteristic of phase transitions are fluctuations in physical observables. With the PHOBOS array they look for unusual events or fluctuations in the number of particles and angular distribution. The articles that have appeared in refereed science journals are listed here with separate links to the supporting data plots, figures, and tables of numeric data.  See also supporting data for articles in technical journals at http://www.phobos.bnl.gov/Publications/Technical/phobos_technical_publications.htm and from conference proceedings at http://www.phobos.bnl.gov/Publications/Proceedings/phobos_proceedings_publications.htm

The PHOBOS Collaboration

96

Microsoft Word - figure_15.doc  

Gasoline and Diesel Fuel Update (EIA)

38 38 0 2 4 6 8 10 2001 2002 2003 2004 2005 Trillion Cubic Feet 0 50 100 150 200 250 Billion Cubic Meters Residential Commercial Industrial Electric Power Figure 15. Natural Gas Delivered to Consumers in the United States, 2001-2005 Sources: Energy Information Administration (EIA), Form EIA -176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-906, "Power Plant Report." Cautionary Note: Number of Residential and Commercial Consumers The Energy Information Administration (EIA) expects that there may be some double counting in the number of residential and commercial customers reported for 2001 through 2005. EIA collects information on the number of residential and commercial consumers through a survey of companies that deliver gas

97

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module 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. The Residential Demand Module also requires projections of available equipment 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.

98

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.

99

Microsoft Word - figure_13.doc  

Gasoline and Diesel Fuel Update (EIA)

,833 ,833 35 Egypt Figure 13. Net Interstate Movements, Imports, and Exports of Natural Gas in the United States, 2009 (Million Cubic Feet) Norway Trinidad/ Tobago Trinidad/ Tobago Egypt Interstate Movements Not Shown on Map From Volume To From Volume To CT RI RI MA MA CT VA DC MD DC 111,144 WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico C a n a d a C a n a d a Canada Canada Canada Canada Canada Canada Canada i i N g e r a Gulf of Mexico Gulf o f M e x i c o Gulf of Mexico Canada Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates

100

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 2. Natural Gas Supply and Disposition in the United States, 2010 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 26.8 0.8 0.2 3.4 3.280 0.190 0.042 0.333 0.739 0.033 21.3 1.1 3.3 3.3 2.0 3.1 6.5 0.03 7.4 0.073 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to

Note: This page contains sample records for the topic "technology assumptions figure" 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

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 2. Natural Gas Supply and Disposition in the United States, 2009 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 26.0 0.7 0.2 3.5 3.271 0.236 0.013 0.338 0.701 0.031 20.6 1.0 3.4 3.0 1.9 3.1 6.2 0.03 6.9 0.160 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to

102

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Algeria Figure 2. Natural Gas Supply and Disposition in the United States, 2007 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 24.6 0.6 0.2 3.8 3.783 0.448 0.077 0.095 0.292 0.482 0.047 19.1 0.9 3.2 3.4 1.8 3.0 6.6 0.03 6.8 0.115 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895A, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to

103

Microsoft Word - figure_14.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 14. Net Interstate Movements, Imports, and Exports of Natural Gas in the United States, 2010 (Million Cubic Feet) Norway India Trinidad/ Tobago Egypt Yemen Japan Interstate Movements Not Shown on Map From Volume To From Volume To CT RI RI MA MA CT VA DC MD DC 53,122 WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico C a n a d a C a n a d a Canada Canada Canada Canada Canada Canada Canada Gulf of Mexico Canada Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates based on historical data. Energy Information

104

Microsoft Word - figure_17.doc  

Gasoline and Diesel Fuel Update (EIA)

5 5 C ommercial All O ther States W isconsin Minnesota Pennsylvania Michigan O hio N ew Jersey Texas California N ew York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion C ubic Feet Residential Indiana G eorgia N ew Jersey Pennsylvania Texas O hio Michigan Illinois California All O ther States N ew York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion C ubic Feet Figure 17. Natural Gas Delivered to Consumers in the United States, 2010 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet E lectric P ower 7,387,184 34% Industrial 6,517,477 30% C om m ercial 3,101,675 14% R esidential 4,787,320 22% Industrial All O ther States Minnesota Iowa Pennsylvania O klahoma Illinois O hio Indiana Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 E lectric Power All O ther States Arizona Mississippi Louisiana Alabama

105

Microsoft Word - figure_16.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Commercial All Other States Wisconsin Minnesota Pennsylvania Texas Ohio New Jersey Michigan California New York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Residential Wisconsin Indiana Texas New Jersey Pennsylvania Ohio Michigan Illinois California All Other States New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Figure 16. Natural Gas Delivered to Consumers in the United States, 2008 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet Electric Pow er 6,668,379 31% Industrial 6,650,276 31% Commercial 3,135,852 15% Residential 4,872,107 23% Industrial All Other States Georgia Iow a Oklahom a Pennsylvania Illinois Indiana Ohio Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Electric Power All Other States Mississippi New Jersey Louisiana

106

Microsoft Word - figure_17.doc  

Gasoline and Diesel Fuel Update (EIA)

3 3 Commercial All Other States Wisconsin M innesota Pennsylvania Ohio M ichigan Texas New Jersey California New York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion C ubic Feet Residential Colorado Indiana Texas New Jersey Pennsylvania Ohio M ichigan Illinois California All Other States New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion C ubic Feet Figure 18. Natural gas delivered to consumers in the United States, 2011 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet Residential 4,713,695 21% Commercial 3,153,605 14% Industrial 6,904,843 31% Electric Power 7,573,863 34% Industrial All Other States M innesota Iowa Oklahoma Pennsylvania Ohio Illinois Indiana Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Electric Power

107

Microsoft Word - figure_16.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Commercial All Other States Wisconsin Minnesota Pennsylvania Ohio Texas Michigan New Jersey California New York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Residential Wisconsin Indiana Texas New Jersey Pennsylvania Ohio Michigan Illinois California All Other States New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Figure 16. Natural Gas Delivered to Consumers in the United States, 2007 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet Electric Pow er 6,841,408 33% Industrial 6,624,846 31% Commercial 3,017,105 14% Residential 4,717,311 22% Industrial All Other States Georgia Oklahom a Michigan Pennsylvania Illinois Indiana Ohio Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Electric Power All Other States Alabam a

108

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 2. Natural Gas Supply and Disposition in the United States, 20088 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 25.8 0.7 0.2 3.6 3.589 0.267 0.012 0.365 0.590 0.050 20.3 1.0 3.4 3.4 1.9 3.1 6.7 0.03 6.7 0.055 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to

109

Microsoft Word - figure_02.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Egypt Algeria Figure 2. Natural Gas Supply and Disposition in the United States, 2006 (Trillion Cubic Feet) Extraction Loss Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Nigeria Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 23.5 0.7 0.1 3.3 3.590 0.389 0.017 0.057 0.322 0.341 0.061 18.5 0.9 3.0 2.5 1.7 4.4 2.8 6.5 0.02 6.2 0.120 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895A, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Form EIA-816, "Monthly Natural Gas Liquids

110

Microsoft Word - figure_13.doc  

Gasoline and Diesel Fuel Update (EIA)

Egypt Figure 13. Net Interstate Movements, Imports, and Exports of Natural Gas in the United States, 2008 (Million Cubic Feet) Norway Trinidad/ Tobago Interstate Movements Not Shown on Map From Volume To From Volume To CT RI RI MA MA CT VA DC MD DC 45,772 WA M T I D OR W Y ND SD C A N V UT CO NE KS AZ NM OK TX MN WI MI IA I L IN OH MO AR MS AL GA TN KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI AK Mexico C a n a d a C a n a d a Canada Canada Canada Canada Canada Canada Canada i i N g e r a Gulf of Mexico Gulf o f M e x i c o Gulf of Mexico Canada Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," the Office of Fossil Energy, Natural Gas Imports and Exports, and EIA estimates.

111

Microsoft Word - figure_16.doc  

Gasoline and Diesel Fuel Update (EIA)

4 4 Commercial All Other States Wisconsin Minnesota Pennsylvania Ohio Michigan Texas New Jersey California New York Illinois 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Residential Minnesota Indiana Texas New Jersey Pennsylvania Ohio Michigan Illinois California All Other States New York 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Trillion Cubic Feet Figure 16. Natural Gas Delivered to Consumers in the United States, 2009 Volumes in Million Cubic Feet Trillion Cubic Feet Trillion Cubic Feet Electric Pow er 6,872,049 33% Industrial 6,167,193 29% Commercial 3,118,833 15% Residential 4,778,478 23% Industrial All Other States Georgia Iow a Pennsylvania Oklahom a Ohio Illinois Indiana Louisiana Texas California 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Electric Power All Other States Nevada Pennsylvania Alabam a Arizona

112

Microsoft Word - Figure_15_2014.docx  

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

Source: Energy Information Administration (EIA), Form EIA-191M, "Monthly Underground Gas Storage Report." U.S. Energy Information Administration | Natural Gas Annual Figure 15....

113

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

114

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.

115

Toto the Robot Figure 1. Toto, front view. Figure 2. Toto, rear view.  

E-Print Network (OSTI)

Toto the Robot Figure 1. Toto, front view. Figure 2. Toto, rear view. Toto the Robot was created so in the back to allow the tape- recorder to be held inside, and the figure was spray-painted. With his metallic a robot, helps account for his lack of verbal charm. Second, some younger children may recognize in Toto

Indiana University

116

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

117

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

118

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

119

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

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

Note: This page contains sample records for the topic "technology assumptions figure" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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121

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

122

Microsoft Word - Figure_03_04.doc  

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

8 8 0 2 4 6 8 10 12 14 16 18 20 22 2010 2011 2012 2013 2014 Residential Commercial Industrial Electric Power Citygate dollars per thousand cubic feet Figure 3 and 4 0 2 4 6 8 10 12 14 16 18 20 22 2010 2011 2012 2013 2014 NGPL Composite Spot Price NG Spot Price at Henry Hub dollars per thousand c ubic feet Note: Prices are in nominal dollars. Source: Table 3. Figure 3. Average citygate and consumer prices of natural gas in the United States, 2010-2013 Figure 4. Spot prices of natural gas and natural gas plant liquids in the United States, 2010-2013

123

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

124

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

125

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

126

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

127

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.

128

RELEVANT SPECTROSCOPIC DATA Figure A.1: 1  

E-Print Network (OSTI)

, 25°C, 499.85 MHz) of 1iPr Figure A.12: 1 H NMR Spectrum (C6D6, 70°C, 499.85 MHz) of 1iPr Figure A.13: 13 C{1 H} NMR Spectrum (C6D6, 25°C, 125.70 MHz) of 1iPr #12;228 Figure A.14: 31 P{1 H} NMR Spectrum (C6D6, 25°C, 121.48 MHz) of 1iPr #12;229 Figure A.15: 1 H-13 C HSQC NMR Spectrum (C6D6, 25°C, 499

Winfree, Erik

129

ON THE EQUILIBRIUM FIGURE OF CLOSE-IN PLANETS AND SATELLITES  

SciTech Connect

Many exoplanets have been observed close to their parent stars with orbital periods of a few days. As for the major satellites of the Jovian planets, the figure of these planets is expected to be strongly shaped by tidal forces. However, contrary to solar system satellites, exoplanets may present high values for the obliquity and eccentricity due to planetary perturbations, and may also be captured in spin-orbit resonances different from the synchronous one. Here we give a general formulation of the equilibrium figure of those bodies that makes no particular assumption on the spin and/or orbital configurations. The gravity field coefficients computed here are well suited for describing the figure evolution of a body whose spin and orbit undergo substantial variations in time.

Correia, Alexandre C. M. [Departamento de Fisica, I3N, Universidade de Aveiro, Campus de Santiago, 3810-193 Aveiro (Portugal); Rodriguez, Adrian [Insituto de Astronomia, Geofisica e Ciencias Atmosfericas, IAG-USP, Rua do Matao 1226, 05508-090 Sao Paulo (Brazil)

2013-04-20T23:59:59.000Z

130

EIS-0023-FEIS-Figures-1979.pdf  

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

NORTM NORTM CAROLINA 2 -- r /'- 3Charlo,te Gree,v:; I, o s. \ '~ ( % SOUTH CAROLINA ".4 o " .Alkenoco'"mb'a A1l.a,to \ August. ( SRP O Macon \ GEORGIA ? Charleston 50 MI ".* / 100 Ml 150 Mi 1 \ ATLANTIC OCEAN Sov.nn.h / FIGURE III-1. Location of SRP Relative to Surrounding Population Centers III-2 --- - FIGURE III-2. The Savannah River Plant III-3 FIGURE 'III-3. Profile of Geologic Formation Beneath the Savannah River Plant . III-5 ,-, -,.. . . . . . 5 .-- -612 CRYSTALLINE ROCK . II rfoce FIGURE III-4. Hydrostatic Head in Ground Water Near H Area III-8 ~'z 'Kw ) -.- ________ Alu EN F PLATEAU ";<--'-----% \ ~//i.s,t,,7 --- I '220--- Heed in Tuscaloosa ft H20 obove me.. $,0 level - 5 0 5 10 ,5 MILES FIGURE III-5. Flow in Tuscaloosa Aquifer (Ongoing hydrographic measurements indicate that this flow pattern has remained the same under the SRP site since the early 1950' s.) 111-10 . FIGURE

131

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

132

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

133

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

134

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

135

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

136

Health Effects from Advanced Combustion and Fuel Technologies  

SciTech Connect

This document requires a separate file for the figures. It is for DOE's Office of Vehicle Technologies Annual Report

Barone, Teresa L [ORNL; Parks, II, James E [ORNL; Lewis Sr, Samuel Arthur [ORNL; Connatser, Raynella M [ORNL

2010-01-01T23:59:59.000Z

137

Program Record 13006 (Offices of Vehicle Technologies and Fuel Cell Technologies: Life-Cycle Costs of Mid-Size Light-Duty Vehicles  

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

Program Record (Offices of Vehicle Technologies & Fuel Cell Program Record (Offices of Vehicle Technologies & Fuel Cell Technologies) Record #: 13006 Date: April 24, 2013 Title: Life-cycle Costs of Mid-Size Light-Duty Vehicles Originator: Tien Nguyen & Jake Ward Approved by: Sunita Satyapal Pat Davis Date: April 25, 2013 Items: DOE is pursuing a portfolio of technologies with the potential to significantly reduce greenhouse gases (GHG) emissions and petroleum consumption while being cost-effective. This record documents the assumptions and results of analyses conducted to estimate the life-cycle costs resulting from several fuel/vehicle pathways, for a future mid-size car. The results are summarized graphically in the following figure. Costs of Operation for Future Mid-Size Car

138

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":""}]}

139

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.

140

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

Note: This page contains sample records for the topic "technology assumptions figure" 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 - 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

142

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

143

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.

144

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.

145

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.

146

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.

147

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.

148

Summary Report on Federal Laboratory Technology Transfer  

E-Print Network (OSTI)

Summary Report on Federal Laboratory Technology Transfer Agency Approaches; FY 2001 Activity Metrics and Outcomes 2002 Report to the President and the Congress under the Technology Transfer: FEDERAL LAB TECHNOLOGY TRANSFER TABLE OF CONTENTS LIST OF FIGURES AND TABLES

Perkins, Richard A.

149

Figure legends Figure 1: Normalized radiance spectra of the different experimental color  

E-Print Network (OSTI)

treatment groups. The fluorescent (red) line represents the narrow rearing treatment. The 5500K (green) and 10000K (blue) lines represent the two bulb types used. #12;Figure S4: Behavioral predictive model performance for the broad-spectrum

Carleton, Karen L.

150

Microsoft Word - Figure_14_15.doc  

Gasoline and Diesel Fuel Update (EIA)

44 0 2 4 6 8 10 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 Dollars per Thousand Cubic Feet 0 40 80 120 160 200 240 280 320 Dollars per Thousand Cubic Meters Constant Dollars Nominal Dollars Figure 14. Average Price of Natural Gas Delivered to Residential Consumers, 1980-2002 Figure 15. Average City Gate Price of Natural Gas in the United States, 2002 (Dollars per Thousand Cubic Feet) Sources: Nominal dollars: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-910, "Monthly Natural Gas Marketer Survey." Constant dollars: Prices were converted to 2002 dollars using the chain-type price indexes for Gross Domestic Product (1996 = 1.0) as published by the U.S. Department of Commerce, Bureau of Economic Analysis.

151

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

152

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

153

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

T T he 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 SEDS 25 data.

154

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

155

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.

156

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 EnergyÂ’s Office of Policy, other DOE offices, and other government agencies.

157

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.

158

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).

159

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.

160

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

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While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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161

Vehicular Thermoelectrics: A New Green Technology  

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

Performance: Figure of Merit (ZT) Oregon State Vehicle Technologies Program eere.energy.gov Nanoscale Effects for Thermoelectrics (courtesy Millie Dresselhaus, MIT)...

162

Short-Term Energy Outlook Figures  

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

Independent Statistics & Analysis" Independent Statistics & Analysis" ,"U.S. Energy Information Administration" ,"Short-Term Energy Outlook Figures, December 2013" ,"U.S. Prices" ,,"West Texas Intermediate (WTI) Crude Oil Price" ,,"U.S. Gasoline and Crude Oil Prices" ,,"U.S. Diesel Fuel and Crude Oil Prices" ,,"Henry Hub Natural Gas Price" ,,"U.S. Natural Gas Prices" ,"World Liquid Fuels" ,,"World Liquid Fuels Production and Consumption Balance" ,,"Estimated Unplanned Crude Oil Production Outages Among OPEC Producers" ,,"Estimated Unplanned Crude Oil Production Disruptions Among non-OPEC Producers" ,,"World Liquid Fuels Consumption" ,,"World Liquid Fuels Consumption Growth"

163

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,

164

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.

165

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).

166

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).

167

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

168

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).

169

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

170

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).

171

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

172

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

173

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 EIAÂ’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

174

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).

175

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).

176

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).

177

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 EIAÂ’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

178

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)

179

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 EIAÂ’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

180

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

Note: This page contains sample records for the topic "technology assumptions figure" 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

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 EIAÂ’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].

182

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

183

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

184

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

185

Microsoft Word - Figure_18_19.doc  

Gasoline and Diesel Fuel Update (EIA)

9 9 0.00-2.49 2.50-4.49 4.50-6.49 6.50-8.49 8.50-10.49 10.50+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK MD 0.00-2.49 2.50-4.49 4.50-6.49 6.50-8.49 8.50-10.49 10.50+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK Figure 18. Average Price of Natural Gas Delivered to U.S. Onsystem Industrial Consumers, 2004 (Dollars per Thousand Cubic Feet) Figure 19. Average Price of Natural Gas Delivered to U.S. Electric Power Consumers, 2004 (Dollars per Thousand Cubic Feet) Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Note: States where the electric power price has been withheld (see Table 23) are included in the $0.00-$2.49 price category.

186

Microsoft Word - Figure_14_15.doc  

Gasoline and Diesel Fuel Update (EIA)

5 5 0.00-2.49 2.50-4.49 4.50-6.49 6.50-8.49 8.50-10.49 10.50+ WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DC NC SC GA AL MS LA FL HI AK DE 0 2 4 6 8 10 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 Dollars per Thousand Cubic Feet 0 40 80 120 160 200 240 280 320 360 Dollars per Thousand Cubic Meters Constant Dollars Nominal Dollars Figure 14. Average Price of Natural Gas Delivered to Residential Consumers, 1980-2004 Figure 15. Average City Gate Price of Natural Gas in the United States, 2004 (Dollars per Thousand Cubic Feet) Sources: Nominal dollars: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-910, "Monthly Natural Gas Marketer Survey." Constant dollars: Prices were converted to 2004 dollars using the chain-type price indexes for Gross Domestic Product

187

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.

188

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

189

Microsoft Word - Figure_3_4.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 None 1-15,000 15,001-100,000 100,001-200,000 200,001-500,000 500,001-and over WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK GOM 0 1 2 3 4 5 6 7 T e x a s G u l f o f M e x i c o N e w M e x i c o O k l a h o m a W y o m i n g L o u i s i a n a C o l o r a d o A l a s k a K a n s a s A l a b a m a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 180 Billion Cubic Meters 2002 2003 2002 Figure 4. Marketed Production of Natural Gas in Selected States and the Gulf of Mexico, 2002-2003 Figure 3. Marketed Production of Natural Gas in the United States and the Gulf of Mexico, 2003 (Million Cubic Feet) GOM = Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-895, "Monthly and Annual Quantity and Value of Natural Gas Report," and the United States Mineral Management

190

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).

191

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.

192

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

193

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).

194

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,

195

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,

196

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.

197

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.

198

Microsoft Word - Figure_3_4.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 0 1 2 3 4 5 6 7 T e x a s G u l f o f M e x i c o O k l a h o m a N e w M e x i c o W y o m i n g L o u i s i a n a C o l o r a d o A l a s k a K a n s a s C a l i f o r n i a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 180 Billion Cubic Meters 2003 2004 2003 Figure 4. Marketed Production of Natural Gas in Selected States and the Gulf of Mexico, 2003-2004 GOM = Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA -895, "Monthly Quantity and Value of Natural Gas Report," and the United States Mineral Management Service. Sources: Energy Information Administration (EIA), Form EIA -895, "Monthly Quantity and Value of Natural Gas Report," and the United States Mineral Management Service. None 1-15,000 15,001-100,000 100,001-200,000 200,001-500,000 500,001-and over

199

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

200

2008 Solar Technologies Market Report  

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

JANUARY 2010 JANUARY 2010 Energy Efficiency & Renewable Energy 2008 SOLAR TECHNOLOGIES MARKET REPORT i Table of Contents Table of Contents ........................................................................................................................... i Figures ........................................................................................................................................... iii Tables ............................................................................................................................................. v Acknowledgments ........................................................................................................................ vi List of Acronyms ......................................................................................................................... vii

Note: This page contains sample records for the topic "technology assumptions figure" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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201

Figure 3-11 South Table Mountain Utilities Map  

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

FTLB AMMO LEGEND Gas Existing Buildings Electrical Figure 3-11 South Table Mountain Utilities Map Sewer Communication Water Surface Drainage Storm Water WATER TANK FACILITIES...

202

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

203

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

6 and 27) including incremental fuel 6 and 27) including incremental fuel efficiency improvement, incremental cost, first year of introduction, and fractional horsepower change. These assumed technology characterizations are scaled up or down to approximate the differences in each attribute for 6 Environmental Protection Administration (EPA) size classes of cars and light trucks. The vehicle sales share module holds the share of vehicle sales by import and domestic manufacturers constant within a vehicle size class at 1999 levels based on National Highway Traffic and Safety Administration data. 32 EPA size class sales shares are projected as a function of income per capita, fuel prices, and average predicted vehicle prices based on endogenous calculations within the MTCM

204

Assumptions to the Annual Energy Outlook 1999 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

transportation.gif (5318 bytes) transportation.gif (5318 bytes) 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, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

205

Assumptions to the Annual Energy Outlook 1999 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

residential.gif (5487 bytes) residential.gif (5487 bytes) 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. The Residential Demand Module also requires projections of available equipment 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.

206

Assumptions to the Annual Energy Outlook 2000 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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. The Residential Demand Module also requires projections of available equipment 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.

207

Table 3-1 Study Methods, Parameters, and Notes/Assumptions  

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

...14 Figure 4. The 95-m 2 Generation 3 heliostat built by ATS in the 1980s is similar to the default heliostat described in the...

208

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The  

E-Print Network (OSTI)

Supplemental Figures: Figure S1. Analysis of endo-siRNA targets in different microarray datasets. The percentage of each array dataset that were predicted endo-siRNA targets according to the Ambros dataset (Lee et al. 2006) was plotted [(number of endo-siRNA targets in microarray dataset / total genes

Bass, Brenda L.

209

Stuttering as Reflected in Adults’ Self-Figure Drawings  

Science Journals Connector (OSTI)

This pilot study aimed to detect indicators within self-figure drawings that reflect stuttering in adults. A sample of 20 adults who stutter from childhood were given a blank sheet...n...= 20). Indicators include...

Rachel Lev-Wiesel; Ayala Shabat; Ayala Tsur

2005-03-01T23:59:59.000Z

210

Figure ES2. Annual Indices of Real Disposable Income, Vehicle...  

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

ES2 Figure ES2. Annual Indices of Real Disposable Income, Vehicle-Miles Traveled, Consumer Price Index (CPI-U), and Real Average Retail Gasoline Price, 1978-2004, 1985100...

211

Ion beam figuring of small optical components Thomas W. Drueding  

E-Print Network (OSTI)

Ion beam figuring of small optical components Thomas W. Drueding Boston University College of Engineering Aerospace and Mechanical Engineering Department Boston, Massachusetts 02215 Steven C. Fawcett Albuquerque, New Mexico 87107 Thomas G. Bifano Boston University College of Engineering Aerospace

212

Correctness of depiction in planar diagrams of spatial figures  

E-Print Network (OSTI)

We show that it is possible to decide whether a given planar diagram correctly depicts the spatial figure consisting of a planar quadrangle together with its shadow in another plane.

P. L. Robinson

2014-03-12T23:59:59.000Z

213

History of mirror casting, figuring, segmentation and active optics  

Science Journals Connector (OSTI)

The accurate general figures for the mirrors with which one could achieve the optimum ... the beginning of the twentieth century by Karl Schwarzschild. A first design for a reflecting telescope ... dispersing len...

Lothar Noethe

2009-08-01T23:59:59.000Z

214

Supplementary Figure 1 SHAPE-MaP data analysis pipeline.  

E-Print Network (OSTI)

Supplementary Figure 1 SHAPE-MaP data analysis pipeline. Outline of software pipeline that fully.1 GHz Intel Core i7 and 16 GB RAM). This strategy is implemented in the SHAPE-MaP Folding Pipeline

Cai, Long

215

Figure 7.1. Control of an alarm system. Figure 7.2. A simple memory element.  

E-Print Network (OSTI)

-digit BCD counter. Enable Q0 Q1 Q2 D0 D1 D2 Load Clock 1 0 0 0 Clock Q30 D3 Enable Q0 Q1 Q2 D0 D1 D2 Load Clock 0 0 0 Q30 D3 BCD0 BCD1 Clear Figure 7.30. Johnson counter. D Q Q Clock D Q Q D Q Q Q0 Q1 Qn 1 by CAD tools. Data Clock Latch #12;Figure 7.34. Timing simulation of storage elements. Figure 7.35. Code

Kalla, Priyank

216

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

217

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

218

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

219

A simple figure of merit for high temperature superconducting switches  

SciTech Connect

The discovery of the new high temperature superconductors has revived interest in many special applications, including superconducting switches. For comparison of switch types, a simple figure of merit based in switch performance is proposed, derived for superconducting switches, and then calculated for thyristors and vacuum switches. The figure of merit is then used to show what critical current density would be needed for superconducting switches to compete with more conventional switches. 46 refs., 1 fig.

Honig, E.M.

1989-01-01T23:59:59.000Z

220

Muon Figures: 2001/04/19 Chris Waltham  

E-Print Network (OSTI)

Muon Figures: 2001/04/19 Chris Waltham Hanging Wall 65 Looking o o ~25 S of W Fault Line r=2730 r) and replaced with back#12;ll. The grid is 1000' (#25;300m) square. p Muon Track Light from Muon Xf PSUP Impact Parameter at time Tf Muon leaves PSUP V h Cherenkov Cone Figure 3: Fitting Diagram 2 #12; ) (degrees) fit v

Learned, John

Note: This page contains sample records for the topic "technology assumptions figure" 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

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

222

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

223

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

224

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

225

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 California’s residential sector energy efficiency programs and recommends improvements that will help to advance the state’s ambitious greenhouse gas reduction goals.

226

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

227

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

228

BILIWG: Consistent "Figures of Merit" (Presentation)  

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

BILIWG: Consistent "Figures of Merit" BILIWG: Consistent "Figures of Merit" A finite set of results reported in consistent units * To track progress of individual projects on a consistent basis * To enable comparing projects in a transparent manner Potential BILIWG Figures of Merit Key BILI Distributed Reforming Targets * Cost ($/kg of H2): H2A analysis - Distributed reforming station,1000 kg/day ave./daily dispensed, 5000/6250 psi (and 10,000/12,000 psi) dispensing, 500 units/yr. * nth unit vs. 500 units/yr ? * production unit only (with 300 psi outlet pressure) ? * Production unit efficiency: LHV H2 out/(LHV of feedstocks and all other energy in) GTG - WTG efficiency? - Feedstock conversion energy efficiency? * Production unit capital cost: Distributed reforming station,1000 kg/day ave./daily dispensed, 300 psi outlet pressure

229

Figure 7.8 shows the cross-sections so recovered for the connection of the SHGC of Figure 6.8.b and the termination of the SHGC of Figure 6.8.d.  

E-Print Network (OSTI)

30 Figure 7.8 shows the cross-sections so recovered for the connection of the SHGC of Figure 6.8.b and the termination of the SHGC of Figure 6.8.d. For discontinuous connections where there are no limb patches description (see top right SHGC in Figure 7.12.b and c for which discontinuity is caused by self occlusion

Southern California, University of

230

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

231

Forces on a magnet moving past figure-eight coils  

SciTech Connect

For the first time, the lift, drag, and guidance forces acting on a permanent magnet are measured as the magnet passes over different arrays of figure-eight (null-flux) coils. The experimental results are in good agreement with the predictions of dynamic circuit theory, which is used to explain more optimal coil arrays.

Mulcahy, T.H.; He, Jianliang; Rote, D.M. [Argonne National Lab., IL (United States); Rossing, T.D. [Northern Illinois Univ., De Kalb, IL (United States). Dept. of Physics

1993-03-01T23:59:59.000Z

232

Forces on a magnet moving past figure-eight coils  

SciTech Connect

For the first time, the lift, drag, and guidance forces acting on a permanent magnet are measured as the magnet passes over different arrays of figure-eight (null-flux) coils. The experimental results are in good agreement with the predictions of dynamic circuit theory, which is used to explain more optimal coil arrays.

Mulcahy, T.H.; He, Jianliang; Rote, D.M. (Argonne National Lab., IL (United States)); Rossing, T.D. (Northern Illinois Univ., De Kalb, IL (United States). Dept. of Physics)

1993-01-01T23:59:59.000Z

233

Microsoft Word - figure_07-2014-update.doc  

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

1 Source: Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports. Figure 7. U.S. natural gas trade summary, 2009-2013 0 0.5 1 1.5 2 2.5 3 3.5 4 2009...

234

Figures of the World Healthcare Organisation show that stroke  

E-Print Network (OSTI)

Figures of the World Healthcare Organisation show that stroke is currently the leading cause disabilities following a stroke, the economic burden and shortage of rehabilitation therapists are also developed a robotic exoskeleton system that meets the requirements of effective post-stroke upper

235

THE FIRST LAW OF THERMODYNAMICS35116 FIGURE 3-46  

E-Print Network (OSTI)

lIb THE FIRST LAW OF THERMODYNAMICS3·5116 FIGURE 3-46 Energy cannot be created or destroyed; it can. The first law of thermodynamics, also known as the conservation of energy principle, provides a sound basis observa- tions, the first law of thermodynamics states that energy can be neither created nor destroyed

Kammen, Daniel M.

236

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

237

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

238

[FIGURE] FIG 0.0 ELEPHANTS AND ETHICS  

E-Print Network (OSTI)

[FIGURE] FIG 0.0 ELEPHANTS AND ETHICS 1.Wemmer,Elephants and Ethics 2/1/08 2:22 PM Page i #12;1.Wemmer,Elephants and Ethics 2/1/08 2:22 PM Page ii #12;Edited by CHRISTEN WEMMER AND CATHERINE A. CHRISTEN ELEPHANTS AND ETHICS TOWARD A MORALITY OF COEXISTENCE Foreword by John Seidensticker THE JOHNS

Hardin, Rebecca D.

239

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.

240

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

E-Print Network (OSTI)

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

Junker, Brian

Note: This page contains sample records for the topic "technology assumptions figure" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


241

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

242

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

243

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

244

EM Leads with Advanced Simulation Capability Technology | Department of  

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

with Advanced Simulation Capability Technology with Advanced Simulation Capability Technology EM Leads with Advanced Simulation Capability Technology April 4, 2013 - 12:00pm Addthis Figure 1: Advanced Simulation Capability for Environmental Management Thrust Areas. Figure 1: Advanced Simulation Capability for Environmental Management Thrust Areas. Figure 2: Spatial distribution of technetium-99 after the releases from the BC cribs using VisIt software on the Hanford Central Plateau. Figure 2: Spatial distribution of technetium-99 after the releases from the BC cribs using VisIt software on the Hanford Central Plateau. Figure 3: Conceptual model of uranium attenuation processes in the Savannah River F Area Seepage Basins plume, including adsorption/desorption (1); dissolution/precipitation (2); mixing/dilution (3); aqueous reactions (4); microbial interactions (5); and abiotic organic interactions (6).

245

Figure 1: IPA symbols [wikipedia]. Unvoiced Consonants Voiced Consonants Vowels  

E-Print Network (OSTI)

Figure 1: IPA symbols [wikipedia]. Unvoiced Consonants Voiced Consonants Vowels Example Dbet IPA/at H Ă» Example Dbet IPA /th/is D D /b/ee b b /d/og d d /g/ab g g /j/udge J Ă? /l/ook l l /m/an m m /n/ap n n /r/eal r r plea/s/ure Z Z si/ng/ G N /v/ow v v /w/in w w /y/ou y j /z/oo z z Example Dbet IPA L

Allen, Jont

246

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.

247

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

248

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

249

A REVIEW OF ASSUMPTIONS AND ANALYSIS IN EPRI EA-3409,"HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPS BEHAVIORAL MODELS"  

SciTech Connect

This paper revises and extends EPRI report EA-3409, ''Household Appliance Choice: Revision of REEPS Behavioral Models.'' That paper reported the results of an econometric study of major appliance choice in new residential construction. Errors appeared in two tables of that report. We offer revised versions of those tables, and a brief analysis of the consequences and significance of the errors. The present paper also proposes several possible extensions and re-specifications of the models examined by EPRI. Some of these are judged to be highly successful; they both satisfy economic intuition more completely than the original specification and produce a better quality fit to the dependent variable. We feel that inclusion of these modifications produces a more useful set of coefficients for economic modeling than the original specification. This paper focuses on EPRI's models of residential space heating technology choice. That choice was modeled as a nested logit structure, with consumers choosing whether to have central air conditioning or not, and, given that choice, what kind of space heating system to have. The model included five space heating alternatives with central cooling (gas, oil, and electric forced-air; heat pumps; and electric baseboard) and eight alternatives without it (gas, oil, and electric forced-air; gas and oil boilers and non-central systems; and electric baseboard heat). The structure of the nested logit model is shown in Figure 1.

Wood, D.J.; Ruderman, H.; McMahon, J. E.

1989-05-01T23:59:59.000Z

250

Fermilab E866 (NuSea) Figures and Data Plots  

DOE Data Explorer (OSTI)

The NuSea Experiment at Fermilab studied the internal structure of protons, in particular the difference between up quarks and down quarks. This experiment also addressed at least two other physics questions: nuclear effects on the production of charmonia states (bound states of charm and anti-charm quarks) and energy loss of quarks in nuclei from Drell-Yan measurements on nuclei. While much of the NuSea data are available only to the collaboration, figures, data plots, and tables are presented as stand-alone items for viewing or download. They are listed in conjunction with the published papers, theses, or presentations in which they first appeared. The date range is 1998 to 2008. To see these figures and plots, click on E866 publications or go directly to http://p25ext.lanl.gov/e866/papers/papers.html. Theses are at http://p25ext.lanl.gov/e866/papers/e866theses/e866theses.html and the presentations are found at http://p25ext.lanl.gov/e866/papers/e866talks/e866talks.html. Many of the items are postscript files.

E866 NuSea Collaboration

251

Figure 1. Rapidly wilting black walnut in the final stage of thousand cankers  

E-Print Network (OSTI)

, and Chihuahua, Mexico (Figure 3). This range appears to coincide largely with the distribution of Arizona walnut

252

The effect of a multivalley energy band structure on the thermoelectric figure of merit  

E-Print Network (OSTI)

value of the thermoelectric figure of merit Z than a similar material which has only a single valleyL-49 The effect of a multivalley energy band structure on the thermoelectric figure of merit D. M A comparison is drawn between the dimensionless thermoelectric figure of merit of a multivalleyed semiconductor

Boyer, Edmond

253

ENGINEERING TECHNOLOGY Engineering Technology  

E-Print Network (OSTI)

, Mechatronics Technology, and Renewable Energy Technology. Career Opportunities Graduates of four: business administration, wind farm management, aircraft maintenance, tooling production, quality and safety or selected program track focus. Transfer students must talk to their advisor about transferring their courses

254

ENGINEERING TECHNOLOGY Engineering Technology  

E-Print Network (OSTI)

: business administration, energy management, wind farm management, automation and controls, aircraft, Mechatronics Technology, and Renewable Energy Technology. Career Opportunities Graduates of four students must talk to their advisor about transferring their courses over for WSU credit. Laboratory

255

Building Technologies Office: Emerging Technologies  

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

Emerging Technologies Emerging Technologies Printable Version Share this resource Send a link to Building Technologies Office: Emerging Technologies to someone by E-mail Share Building Technologies Office: Emerging Technologies on Facebook Tweet about Building Technologies Office: Emerging Technologies on Twitter Bookmark Building Technologies Office: Emerging Technologies on Google Bookmark Building Technologies Office: Emerging Technologies on Delicious Rank Building Technologies Office: Emerging Technologies on Digg Find More places to share Building Technologies Office: Emerging Technologies on AddThis.com... About Take Action to Save Energy Partner with DOE Activities Technology Research, Standards, & Codes Popular Links Success Stories Previous Next Lighten Energy Loads with System Design.

256

A1. Form EIA-176 Figure Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Form EIA-176 Form EIA-176 Figure Energy Information Administration / Natural Gas Annual 1996 214 EIA-176, ANNUAL REPORT OF NATURAL AND SUPPLEMENTAL GAS SUPPLY AND DISPOSITION, 19 PART IV: SUPPLY OF NATURAL AND SUPPLEMENTAL GAS RECEIVED WITHIN OR TRANSPORTED INTO REPORT STATE RESPONDENT COPY Page 2 PART III: TYPE OF COMPANY AND GAS ACTIVITIES OPERATED IN THE REPORT STATE 1.0 Type of Company (check one) 1.0 Control No. 2.0 Company Name 3.0 Report State 4.0 Resubmittal EIA Date: a b c d e Investor owned distributor Municipally owned distributor Interstate pipeline Intrastate pipeline Storage operator f g h i j SNG plant operator Integrated oil and gas Producer Gatherer Processor k Other (specify) 2.0 Gas Activities Operated On-system Within the Report State (check all that apply) a b c d e Produced Natural Gas

257

BRAHMS (Broad Range Hadron Magnetic Spectrometer) Figures and Data Archive  

DOE Data Explorer (OSTI)

The BRAHMS experiment was designed to measure charged hadrons over a wide range of rapidity and transverse momentum to study the reaction mechanisms of the relativistic heavy ion reactions at the Relativistic Heavy Ion Collider at Brookhaven National Laboratory and the properties of the highly excited nuclear matter formed in these reactions. The experiment took its first data during the RHIC 2000 year run and completed data taking in June 2006. The BRAHMS archive makes publications available and also makes data and figures from those publications available as separate items. See also the complete list of publications, multimedia presentations, and related papers at http://www4.rcf.bnl.gov/brahms/WWW/publications.html

258

STAR (Solenoidal Tracker at RHIC) Figures and Data  

DOE Data Explorer (OSTI)

The primary physics task of STAR is to study the formation and characteristics of the quark-gluon plasma (QGP), a state of matter believed to exist at sufficiently high energy densities. STAR consists of several types of detectors, each specializing in detecting certain types of particles or characterizing their motion. These detectors work together in an advanced data acquisition and subsequent physics analysis that allows final statements to be made about the collision. The STAR Publications page provides access to all published papers by the STAR Collaboration, and many of them have separate links to the figures and data found in or supporting the paper. See also the data-rich summaries of the research at http://www.star.bnl.gov/central/physics/results/. [See also DDE00230

The STAR Collaboration

259

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

260

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

Note: This page contains sample records for the topic "technology assumptions figure" 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

Figure 1. Microsupercapacitors developed with novel carbon nano-  

E-Print Network (OSTI)

to advanced energy technologies, including solar energy utilization, energy storage (batteries and capacitors) and heterogeneous catalysis for solar energy and solar fuels production. The FIRST Center will address three key

262

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).

263

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

264

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.

265

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).

266

Examining pervasive technology practices in schools : a mental models approach  

E-Print Network (OSTI)

Studies of computers and education have failed to account for the relevance and importance of tacit assumptions and unquestioned expectations that underlie educational technology practices. A major premise of this dissertation ...

Vaikakul, Savalai, 1976-

2005-01-01T23:59:59.000Z

267

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

268

figures for inverse problem paper in 3d - Department of Mathematics ...  

E-Print Network (OSTI)

FIGURES FOR INVERSE PROBLEM PAPER IN 3D. JUAN E. SANTOS. Departamento de Geof sica Aplicada, Facultad de Ciencias Astron omicas y Geof sicas,.

santos

1910-20-20T23:59:59.000Z

269

Technology Transfer: Available Technologies  

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

test test Please refer to the list of technologies below for licensing and research collaboration availability. If you can't find the technology you're interested in, please contact us at TTD@lbl.gov. Energy ENERGY EFFICIENT TECHNOLOGIES Aerosol Sealing Aerosol Remote Sealing System Clog-free Atomizing and Spray Drying Nozzle Air-stable Nanomaterials for Efficient OLEDs Solvent Processed Nanotube Composites OLEDS with Air-stable Structured Electrodes APIs for Online Energy Saving Tools: Home Energy Saver and EnergyIQ Carbon Dioxide Capture at a Reduced Cost Dynamic Solar Glare Blocking System Electrochromic Device Controlled by Sunlight Electrochromic Windows with Multiple-Cavity Optical Bandpass Filter Electrochromic Window Technology Portfolio Universal Electrochromic Smart Window Coating

270

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

271

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

272

23 Figure 3.1: Color transition from purple/maroon argillites into bright red  

E-Print Network (OSTI)

;#12;#12;#12;#12;#12;#12;#12;#12;23 Figure 3.1: Color transition from purple/maroon argillites into bright red argillites. This transition weathering, possibly sideritic layer in the lower part of the picture. The fine grained overlying red Island Section, lower maroon and purple part in red unit (level: 9 meter; Figure 3.3); south shore Gull

Kidd, William S. F.

273

Technology Transfer: Available Technologies  

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

Please refer to the list of technologies below for licensing and research Please refer to the list of technologies below for licensing and research collaboration availability. If you can't find the technology you're interested in, please contact us at TTD@lbl.gov. Biotechnology and Medicine DIAGNOSTICS AND THERAPEUTICS CANCER CANCER PROGNOSTICS 14-3-3 Sigma as a Biomarker of Basal Breast Cancer ANXA9: A Therapeutic Target and Predictive Marker for Early Detection of Aggressive Breast Cancer Biomarkers for Predicting Breast Cancer Patient Response to PARP Inhibitors Breast Cancer Recurrence Risk Analysis Using Selected Gene Expression Comprehensive Prognostic Markers and Therapeutic Targets for Drug-Resistant Breast Cancers Diagnostic Test to Personalize Therapy Using Platinum-based Anticancer Drugs Early Detection of Metastatic Cancer Progenitor Cells

274

Technology Transfer: Available Technologies  

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

Software and Information Technologies Software and Information Technologies Algorithm for Correcting Detector Nonlinearites Chatelet: More Accurate Modeling for Oil, Gas or Geothermal Well Production Collective Memory Transfers for Multi-Core Processors Energy Efficiency Software EnergyPlus:Energy Simulation Software for Buildings Tools, Guides and Software to Support the Design and Operation of Energy Efficient Buildings Flexible Bandwidth Reservations for Data Transfer Genomic and Proteomic Software LABELIT - Software for Macromolecular Diffraction Data Processing PHENIX - Software for Computational Crystallography Vista/AVID: Visualization and Allignment Software for Comparative Genomics Geophysical Software Accurate Identification, Imaging, and Monitoring of Fluid Saturated Underground Reservoirs

275

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

276

Emerging Technologies  

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

The Emerging Technologies (ET) Program of the Building Technologies Office (BTO) supports applied research and development (R&D) for technologies, systems, and models that contribute to building energy consumption.

277

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

278

The Costs of Greenhouse Gas Mitigation with Induced Technological Change  

E-Print Network (OSTI)

The Costs of Greenhouse Gas Mitigation with Induced Technological Change: A Meta of Greenhouse Gas Mitigation with Induced Technological Change: A Meta-Analysis of Estimates in the Literature and overlapping choices of assumptions. The purpose of the study is to use regression and related analyses

Watson, Andrew

279

Technology Transfer  

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

Technology Transfer Since 1974, the Federal Laboratory Consortium (FLC) Award for Excellence in Technology Transfer has recognized scientists and engineers at federal government...

280

Tools & Technologies  

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

We provide leadership for transforming workforce development through the power of technology. It develops corporate educational technology policy and enables the use of learning tools and...

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281

Technology Transfer: Available Technologies  

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

Ion Sources and Beam Technologies Ion Sources and Beam Technologies GENERATORS AND DETECTORS Compact, Safe and Energy Efficient Neutron Generator Fast Pulsed Neutron Generator High Energy Gamma Generator Lithium-Drifted Silicon Detector with Segmented Contacts Low Power, High Energy Gamma Ray Detector Calibration Device Nested Type Coaxial Neutron Generator Neutron and Proton Generators: Cylindrical Neutron Generator with Nested Option, IB-1764 Neutron-based System for Nondestructive Imaging, IB-1794 Mini Neutron Tube, IB-1793a Ultra-short Ion and Neutron Pulse Production, IB-1707 Mini Neutron Generator, IB-1793b Compact Spherical Neutron Generator, IB-1675 Plasma-Driven Neutron/Gamma Generators Portable, Low-cost Gamma Source for Active Interrogation ION SOURCES WITH ANTENNAS External Antenna for Ion Sources

282

21-389 Technology and Environmental Deterioration in Pre-Industrial Societies Chapter 21. TECHNOLOGY AND ENVIRONMENTAL  

E-Print Network (OSTI)

21-389 Technology and Environmental Deterioration in Pre-Industrial Societies Chapter 21. TECHNOLOGY AND ENVIRONMENTAL DETERIORATION IN PRE-INDUSTRIAL SOCIETIES One assumption made by most... [is... Robert Heizer 1955 More than one half [of the extent of the Roman Em- pire] is either deserted

Richerson, Peter J.

283

Improvements in Modeling Microbially Induced Calcite Precipitation as a Leakage Mitigation Technology  

E-Print Network (OSTI)

such as CO2 storage in the subsurface or fracking could be reduced with sealing technologies like microbially Abandonnedwell Injectionwellvicinity Fracking CO2 Reservoir Figure 1: Potential application sites of MICP

Cirpka, Olaf Arie

284

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.

285

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

286

Plasmonic Figures of Merit in a Doped Graphene Sheet | MIT-Harvard...  

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

Plasmonic Figures of Merit in a Doped Graphene Sheet May 15, 2014 at 2pm36-428 Marco Polini NEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore di Pisa MarcoPolini...

287

Exploration Technologies Technology Needs Assessment  

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

The Exploration Technologies Needs Assessment is a critical component of ongoing technology roadmapping efforts, and will be used to guide the program's research and development.

288

Energy Technologies  

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

Best practices, project resources, and other tools on energy efficiency and renewable energy technologies.

289

2011 Fuel Cell Technologies Market Report  

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

2011 FUEL CELL 2011 FUEL CELL TECHNOLOGIES MARKET REPORT ii Authors This report was a collaborative effort by staff of the Breakthrough Technologies Institute, Inc., in Washington, DC. Acknowledgement The authors relied upon the hard work and valuable contributions of many men and women in government and in the fuel cell industry. The authors especially wish to thank Sunita Satyapal and the staff of the US Department of Energy's Fuel Cell Technologies Program for their support and guidance. The authors also wish to thank Rachel Gelman of the National Renewable Energy Laboratory and the many others who made this report possible. iii Contents List of Figures .....................................................................................................................................................v

290

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

291

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

E-Print Network (OSTI)

loans Energy Doctor Energy Audits Incentives to Builders/Developers New building/shell technologies Passive solar

Johnson, F.X.

2010-01-01T23:59:59.000Z

292

Technology Roadmaps  

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

This page contains links to DOE's Technology Roadmaps, multi-year plans outlining solid-state lighting goals, research and development initiatives aimed at accelerating technology advances and...

293

Technology Development  

Science Journals Connector (OSTI)

In presenting this chapter on technology development, it must be stated that attempts to make an up-to-date technology survey are restricted, unfortunately, by the proprietary nature of recent advances, detail...

B. E. Conway

1999-01-01T23:59:59.000Z

294

Finding Six-Figure ROI From Energy Efficiency | Department of Energy  

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

Finding Six-Figure ROI From Energy Efficiency Finding Six-Figure ROI From Energy Efficiency Finding Six-Figure ROI From Energy Efficiency September 28, 2010 - 10:20am Addthis Kevin Craft What are the key facts? Recovery Act funded energy efficiency lighting upgrades in Huntington, New York. Street lighting accounts for 40% of town's electric costs. Huntington estimates $151,000 in annual savings through lighting changes. Return-on-investment -- that is the phrase town officials in Huntington, New York, carefully considered before commissioning several projects to improve municipal energy efficiency. "Saving town residents money on energy bills is one way to help stimulate the local economy. So we looked for projects that would save our residents as much money as possible," said Huntington Supervisor Frank Petrone.

295

Finding Six-Figure ROI From Energy Efficiency | Department of Energy  

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

Finding Six-Figure ROI From Energy Efficiency Finding Six-Figure ROI From Energy Efficiency Finding Six-Figure ROI From Energy Efficiency September 28, 2010 - 10:20am Addthis Kevin Craft What are the key facts? Recovery Act funded energy efficiency lighting upgrades in Huntington, New York. Street lighting accounts for 40% of town's electric costs. Huntington estimates $151,000 in annual savings through lighting changes. Return-on-investment -- that is the phrase town officials in Huntington, New York, carefully considered before commissioning several projects to improve municipal energy efficiency. "Saving town residents money on energy bills is one way to help stimulate the local economy. So we looked for projects that would save our residents as much money as possible," said Huntington Supervisor Frank Petrone.

296

Graffiti (Figural)  

E-Print Network (OSTI)

2004 Middle Egyptian Quarries Project: 2004 field season.flat space available. In quarries and in way-stops onwith further study is the quarry of Abdel Qurna just north

Cruz-Uribe, Eugene

2008-01-01T23:59:59.000Z

297

Photopolymer Materials and Processes for Advanced Technologies  

Science Journals Connector (OSTI)

Using this method, the image of an entire layer is projected through a window and onto a thin layer of photopolymer in contact with the stage. ... Figure 7. Model of the Stature of Liberty produced by 3D inkjet imaging (photograph provided by author J.V.C.). ... Indeed, with increasing environmental consciousness and under pressure from various governmental and local regulatory agencies, it is reasonable to project that the future will experience an even greater reliance on photopolymer technology. ...

James V. Crivello; Elsa Reichmanis

2013-09-25T23:59:59.000Z

298

Sustainability Perspective and Chemistry-Based Technologies  

Science Journals Connector (OSTI)

As shown in Figure 1, the economic productivity of nations, expressed as the real gross domestic product (GDP) per capita, on the basis of purchase power parity, plotted against the ecological footprint (EF), shows a sharp increase at low EF but levels off at EF ? 5 hectares/capita. ... The sustainability challenges of the day are being addressed by governments everywhere with regulatory measures that are creating market demands for technologies. ... to efforts to reduce end-use energy demand. ...

Subhas K. Sikdar

2007-06-01T23:59:59.000Z

299

Department of Engineering Technology Technology Education  

E-Print Network (OSTI)

Department of Engineering Technology Technology Education A Teacher Education Program New Jersey Institute of Technology #12;WHAT WILL YOU LEARN? Technology teachers teach problem-based learning utilizing math, science and technology principles. Technological studies involve students: · Designing

Bieber, Michael

300

Supplemental Figures Supplemental Figure1  

E-Print Network (OSTI)

) induced a gradual change in firing patterns, eventually leading to self-sustained tonic discharges (the

Fujisawa, Shigeyoshi

Note: This page contains sample records for the topic "technology assumptions figure" from the National Library of EnergyBeta (NLEBeta).
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301

Figure 1. Schematic of initial air pump design Design of Air Pump System Using Bond Graph  

E-Print Network (OSTI)

, is presented in Figure 1. It is a vibratory pump in which an electromagnetic circuit drives a small permanent magnet attached to a pivoted lever that, in turn, drives a rubber bellows pump. The bellows pump has of the cascaded arrangement of three coupled subsystems: the electromagnetic actuator, the lever, and the air

Fernandez, Thomas

302

Figure 1: ATA 42 antenna array at Hat Creek ********ADAPTIVE REAL TIME IMAGING FOR RADIO ASTRONOMY*******  

E-Print Network (OSTI)

Figure 1: ATA 42 antenna array at Hat Creek ********ADAPTIVE REAL TIME IMAGING FOR RADIO ASTRONOMY --------------------------­ · Astronomers primarily interested in astronomy. ­ Data reduction preoccupies radio astronomy specialists,f,p Bandpass( )f PolCal( )f,p Gains( )s,f,p S Beam Imager Astronomy Solver I2 ( ) )^(^, 2sVpfV - å ¹kj X Solver

Militzer, Burkhard

303

Figure 1: Multiplex logarithmic microfluidic perfusion array for probing shear stress effects on stem cells. (A)  

E-Print Network (OSTI)

Figure 1: Multiplex logarithmic microfluidic perfusion array for probing shear stress effects on stem cells. (A) Microfluidic perfusion systems exhibit more defined shear stress profiles and consume. (B) A 1x6 multiplex logarithmic microfluidic array for simultaneous application of shear stress

Voldman, Joel

304

Magnetic Levitation System The following figure shows the cross section of a magnetic levitation (MAGLEV) train.  

E-Print Network (OSTI)

Magnetic Levitation System The following figure shows the cross section of a magnetic levitation in matched pairs. The magnetic attraction of the vertically paired magnets balances the force of gravity and levitates the vehicle above the guideway. d h z Train Track Magnets Fixed Reference Line Magnets

Hagan, Martin

305

High figure-of-merit nematic mixtures based on totally unsaturated isothiocyanate liquid crystals  

E-Print Network (OSTI)

. 1. Introduction The continuous demand for faster electro-optic response times is the driving force of figure-of-merit were observed at room temperature for the formulated nematic mixtures. Potential phased arrays (OPAs) for laser communications, require faster response times. In order to achieve a fast

Wu, Shin-Tson

306

* All figures are in color on the Coastal Sediments Proceedings DVD. NONUNIFORM SEDIMENT TRANSPORT MODELING AT  

E-Print Network (OSTI)

1783 * All figures are in color on the Coastal Sediments Proceedings DVD. NONUNIFORM SEDIMENT@ncche.olemiss.edu. Abstract: A depth-averaged two-dimensionalnonuniform sediment transport model is applied to the beaches. The sediment transport, bed change and sorting equations are solved simultaneously and implicitly at the same

US Army Corps of Engineers

307

3-19 Urban Design Figure 3-9 Aerial View E Looking West  

E-Print Network (OSTI)

View F Looking North West #12;3-21 Urban Design Figure 3-11 Skyline and Massachusetts Avenue Gateway to careful site planning and transportation demand management. As the area has become more densely developed employed by TranSComm whose primary responsibilities include identifying and responding to transportation

Mohanty, Raj

308

Figure 1: Swimmer in swimming User Experiences with a Virtual Swimming Interface  

E-Print Network (OSTI)

accomplished the artistic endeavour by swimming in the pool of the ocean liner, Queen Elizabeth II, travelingFigure 1: Swimmer in swimming apparatus. User Experiences with a Virtual Swimming Interface Exhibit@ece.ubc.ca Abstract. We created an exhibit based on a new locomotion interface for swimming in a virtual reality ocean

British Columbia, University of

309

Enhancement of thermoelectric figure-of-merit by resonant states of aluminium doping in lead selenide  

E-Print Network (OSTI)

By adding aluminium (Al) into lead selenide (PbSe), we successfully prepared n-type PbSe thermoelectric materials with a figure-of-merit (ZT) of 1.3 at 850 K. Such a high ZT is achieved by a combination of high Seebeck ...

Zhang, Qinyong

310

Figure 1. Recurrent modular network architecture Recurrent modular network architecture for sea ice  

E-Print Network (OSTI)

). Classification of sea ice in MIZ is important for navigation in these regions and for accurate evaluation of heatFigure 1. Recurrent modular network architecture Recurrent modular network architecture for sea ice classification in the Marginal Ice Zone using ERS SAR images Andrey V. Bogdanov1a , Marc Toussaint1b , Stein

Toussaint, Marc

311

SPACESHUTTLEPROGRAMPETITIONFOR HCFC 141b Exemption Allowance Figure 3.2 Cornpleteil ET in Sliruy Cell  

E-Print Network (OSTI)

OF HCFC 141b BLOWN FOAM Orbiter uses HCFC 141b blown foam to thermally insulate the Main Propulsion System location, necessitating the use of HCFC I-llb blown foam insulation Figures 3 4 and 3.5, respectively. illustrate the umbilical without and with foam insulation 17 #12;SPACESHUTTLEPROGRAMPETITION FOR HCFC 141b

Christian, Eric

312

IN PRINT (Feb. 2012): Am J Psych Word length: 3,983 Tables: 2, Figures: 4  

E-Print Network (OSTI)

in individuals with autism as early as two years of age. Studies using head circumference suggest that brainIN PRINT (Feb. 2012): Am J Psych Word length: 3,983 Tables: 2, Figures: 4 Brain Volume Findings Neurological Institute, McGill University *IBIS Network: The IBIS (Infant Brain Imaging Study) Network

Utah, University of

313

Figure 1. Bipartite network showing how candidate SNPs co-occur across Colombian  

E-Print Network (OSTI)

Figure 1. Bipartite network showing how candidate SNPs co-occur across Colombian patients with one Study of Chronic Metabolic Diseases in Colombians Maria A. Caro MSc1,2 , Bryant Dang BS1 , Gabriel, are associated with key demographic and clinical variables in Colombians with metabolic disease. The results

Bhavnani, Suresh K.

314

NANOTECHNOLOGY 4 NOVEMBER 2004 Figure 1. A `quasi-optical' electron paramagnetic resonance (EPR)  

E-Print Network (OSTI)

NANOTECHNOLOGY 4 NOVEMBER 2004 Figure 1. A `quasi-optical' electron paramagnetic resonance (EPR) spectrometer. EPR: Progress towards spin-based quantum computing Electron- and/or nuclear-spin-based quantum-dependent recombination (SDR)1-4 is an electron paramagnetic resonance (EPR) technique that is potentially useful in spin

Demirel, Melik C.

315

Figure 1. Nicaragua at night. The circled area is the Bluefields region.  

E-Print Network (OSTI)

. Instead, they advocate a focus on rural electrification for this region3 . blueEnergy blueEnergy%3 . The electrification rate in rural areas of Nicaragua, where 45% of the population lives, is a meager 25% 2 (Figure 1 are connected to an electric grid, rural areas outside of these cities are not. Due to geographic barriers

Kammen, Daniel M.

316

Available Technologies  

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

6 News Stories (and older) 6 News Stories (and older) 12.21.2005___________________________________________________________________ Genzyme acquires gene therapy technology invented at Berkeley Lab. Read more here. 07.19.2005 _________________________________________________________________ Symyx, a start up company using Berkeley Lab combinatorial chemistry technology licensed by the Technology Transfer Department and developed by Peter Schultz and colleagues in the Materials Sciences Division, will be honored with Frost & Sullivan's 2005 Technology Leadership Award at their Excellence in Emerging Technologies Awards Banquet for developing enabling technologies and methods to aid better, faster and more efficient R&D. Read more here. 07.11.2005 _________________________________________________________________ Nanosys, Inc., a Berkeley Lab startup, is among the solar nanotech companies investors along Sand Hill Road in Menlo Park hope that thinking small will translate into big profits. Read more here.

317

Figure 1: h"p://www.russiansinthecef.ca/29thba"alion/surveyors.shtml, 2011 Figure 2: h"p://www.compassdude.com/contour-quiz.shtml, 2011  

E-Print Network (OSTI)

·Land Surveying techniques have existed since ancient EgypSan Smes ·Mc it: ·Demonstrates progression of land surveying technology ·Contributed

Barthelat, Francois

318

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

319

Fuel Technologies  

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

Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008 on February 25, 2008 in Bethesda, Maryland.

320

Layering Technologies  

Science Journals Connector (OSTI)

Planar technology requires that thin layers of materials be formed and patterned sequentially, commencing with a flat rigid substrate. The key aspects of each layer are its Thi...

Ivor Brodie; Julius J. Muray

1992-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "technology assumptions figure" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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321

Glass Technology  

Science Journals Connector (OSTI)

... WE have received from the Department of Glass Technology, University of Sheffield, a copy of vol. ii. of “Experimental Researches ... that department. The papers included have already appeared in the Journal of the Society of Glass Technology. They range over a somewhat wide field of the ...

1920-08-23T23:59:59.000Z

322

NREL: Technology Deployment - Technology Acceleration  

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

assistance to federal and private industry to help address market barriers to sustainable energy technologies. Learn more about NREL's work in the following areas:...

323

Vehicle Technologies Office: Vehicle Technologies Office Recognizes  

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

Vehicle Technologies Vehicle Technologies Office Recognizes Outstanding Researchers to someone by E-mail Share Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Facebook Tweet about Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Twitter Bookmark Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Google Bookmark Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Delicious Rank Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Digg Find More places to share Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on AddThis.com...

324

Vehicle Technologies Office: Graduate Automotive Technology Education  

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

Deployment Deployment Site Map Printable Version Share this resource Send a link to Vehicle Technologies Office: Graduate Automotive Technology Education (GATE) to someone by E-mail Share Vehicle Technologies Office: Graduate Automotive Technology Education (GATE) on Facebook Tweet about Vehicle Technologies Office: Graduate Automotive Technology Education (GATE) on Twitter Bookmark Vehicle Technologies Office: Graduate Automotive Technology Education (GATE) on Google Bookmark Vehicle Technologies Office: Graduate Automotive Technology Education (GATE) on Delicious Rank Vehicle Technologies Office: Graduate Automotive Technology Education (GATE) on Digg Find More places to share Vehicle Technologies Office: Graduate Automotive Technology Education (GATE) on AddThis.com...

325

Building Technologies Office: Emerging Technologies Activities  

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

Emerging Technologies Emerging Technologies Activities to someone by E-mail Share Building Technologies Office: Emerging Technologies Activities on Facebook Tweet about Building Technologies Office: Emerging Technologies Activities on Twitter Bookmark Building Technologies Office: Emerging Technologies Activities on Google Bookmark Building Technologies Office: Emerging Technologies Activities on Delicious Rank Building Technologies Office: Emerging Technologies Activities on Digg Find More places to share Building Technologies Office: Emerging Technologies Activities on AddThis.com... About Take Action to Save Energy Partner with DOE Activities Appliances Research Building Envelope Research Windows, Skylights, & Doors Research Space Heating & Cooling Research Water Heating Research

326

Strength of Materials Prof. M. S. Sivakumar Indian Institute of Technology Madras  

E-Print Network (OSTI)

. S. Sivakumar Indian Institute of Technology Madras Introduction 2.1 stress at a point Figure 2Strength of Materials Prof. M. S. Sivakumar Indian Institute of Technology Madras Stresses Stress at a point Stress Tensor Equations of Equilibrium Different states of stress Transformation of plane stress

Ramu, Palaniappan

327

As the BPM marketplace continues its rapid evolution, there is an increasing array of technology offerings  

E-Print Network (OSTI)

As the BPM marketplace continues its rapid evolution, there is an increasing array of technology) the increasing diversity of offerings that fall under the BPM technology umbrella, and (2) the complexity. As illustrated in Figure 1, the potential range of tech- nologies on which a BPM solution might be based

van der Aalst, Wil

328

Hydrogen, Fuel Cells, and Infrastructure Technologies FY 2002 Progress Report Section IV. Fuel Cells  

E-Print Network (OSTI)

W advanced PEM power plant. Approach Figure 1 provides a schematic of the gasoline fuel cell power plantHydrogen, Fuel Cells, and Infrastructure Technologies FY 2002 Progress Report 265 Section IV. Fuel Cells #12;Hydrogen, Fuel Cells, and Infrastructure Technologies FY 2002 Progress Report 266 #12;Hydrogen

329

Faculty of Technology Heat Engineering Laboratory course 424508 E Ron Zevenhoven  

E-Print Network (OSTI)

Faculty of Technology Heat Engineering Laboratory course 424508 E Ron Zevenhoven TRP exam 9 jan;Faculty of Technology Heat Engineering Laboratory course 424508 E Ron Zevenhoven TRP exam 9 jan 2008 2/(m.K), determine numerically, using the grid shown in the Figure: a. the temperatures at the points 1, 2, 3, 4, 5

Zevenhoven, Ron

330

Targeted Technology Transfer to US Independents  

SciTech Connect

The Petroleum Technology Transfer Council (PTTC) was established by domestic crude oil and natural gas producers in 1994 as a national not-for-profit organization to address the increasingly urgent need to improve the technology-transfer process in the U.S. upstream petroleum industry. Coordinated from a Headquarters (HQ) office in Houston, PTTC maintains an active grassroots program executed by 10 Regional Lead Organizations (RLOs) and two satellite offices (Figure 1). Regional Directors interact with domestic oil and gas producers through technology workshops, resource centers, websites, newsletters, technical publications and cooperative outreach efforts. HQ facilitates inter-regional technology transfer and implements a comprehensive communications program. Active volunteers on the National Board and in Producer Advisory Groups (PAGs) in each of the 10 regions focus effort in areas that will create the most impact for domestic producers. Focused effort by dedicated individuals across the country has enabled PTTC to achieve the milestones outlined in Appendix A.

Donald F. Duttlinger; E. Lance Cole

2006-09-29T23:59:59.000Z

331

Figure 2: The mercury jet target geometry. The proton beam and mercury jet cross at z=-37.5 cm.  

E-Print Network (OSTI)

Figure 2: The mercury jet target geometry. The proton beam and mercury jet cross at z=-37.5 cm. Figure 3: The layout of multiple proton beam entry directions relative to mercury jet at z=-75 cm. A PION of a free liquid mercury jet with an intense proton beam. We study the variation of meson production

McDonald, Kirk

332

A novel optimization-based pole-figure inversion method: comparison with WIMV and maximum entropy methods  

Science Journals Connector (OSTI)

An optimization-based pole-figure inversion method is presented that utilizes the orientation distribution function gradient for conditional control of the solution. The novel pole-figure inversion method, coined the hybrid -seminorm minimization, is empirically shown to be versatile, general and robust in the presence of simulated experimental errors.

Bernier, J.V.

2006-09-12T23:59:59.000Z

333

Facts & figures 2010 The University of Gothenburg is, with its 37,000 students, one of the lar-  

E-Print Network (OSTI)

cost 59 % Premises 13 % Other operating costs 24 % Capital costs 4 % Expenditure in percentages #12 funding and other sources Expenditure SEK 4,785 million of which: > SEK 2,817 million is spent > SEK 190 million is spent on capital costs Finances facts & figures 2010 facts & figures 2010 Personnel

Johannesson, Henrik

334

Figure A1. Natural gas processing plant capacity in the United States, 2013 2012  

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

5 5 Figure A1. Natural gas processing plant capacity in the United States, 2013 2012 Table A2. Natural gas processing plant capacity, by state, 2013 (million cubic feet per day) Alabama 1,403 Arkansas 24 California 926 Colorado 5,450 Florida 90 Illinois 2,100 Kansas 1,818 Kentucky 240 Louisiana 10,737 Michigan 479 Mississippi 1,123

335

Building Technologies Office: Emerging Technologies  

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

Creating the Next Generation of Energy Efficient Technology Creating the Next Generation of Energy Efficient Technology The Emerging Technologies team partners with national laboratories, industry, and universities to advance research, development, and commercialization of energy efficient and cost effective building technologies. These partnerships help foster American ingenuity to develop cutting-edge technologies that have less than 5 years to market readiness, and contribute to the goal to reduce energy consumption by at least 50%. Sandia Cooler's innovative, compact design combines a fan and a finned metal heat sink into a single element, efficiently transferring heat in microelectronics and reducing energy use. Supporting Innovative Research to Help Reduce Energy Use and Advance Manufacturing Learn More

336

Technology Analysis  

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

* Heavy Vehicle Technologies * Heavy Vehicle Technologies * Multi-Path Transportation Futures * Idling Studies * EDrive Vehicle Monthly Sales Transportation Research and Analysis Computing Center Working With Argonne Contact TTRDC Technology Analysis truck Heavy vehicle techologies are one subject of study. Research Reducing Greenhouse Gas Emissions from U.S. Transportation Heavy Vehicle Technologies Multi-Path Transportation Futures Study Idling Studies Light Duty Electric Drive Vehicles Monthly Sales Updates Lithium-Ion Battery Recycling and Life Cycle Analysis Reports Propane Vehicles: Status, Challenges, and Opportunities (pdf; 525 kB) Natural Gas Vehicles: Status, Barriers, and Opportunities (pdf; 696 kB) Regulatory Influences That Will Likely Affect Success of Plug-in Hybrid and Battery Electric Vehicles (pdf; 1.02 MB)

337

Coal Technology  

Science Journals Connector (OSTI)

Several large demonstrations of FBC technology for electrical power generation have proven ... -MW(e) atmospheric pressure circulating fluidized-bed boiler at the Colorado–Ute Electric Association's...14 ...

2003-01-01T23:59:59.000Z

338

Power and Performance of Native and Java Benchmarks on 130nm to 32nm Process Technologies  

E-Print Network (OSTI)

Power and Performance of Native and Java Benchmarks on 130nm to 32nm Process Technologies Hadi with chip power reduc- tions. This paper examines how well process technology and mi- croarchitecture delivered on this assumption. This paper evalu- ates power and performance of native and Java workloads

Paris-Sud XI, Université de

339

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program  

E-Print Network (OSTI)

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division to them in California. TECHNOLOGY TRANSFER PROGRAM MAY 2011, VOL. 3, NO. 1 California's Transition

California at Berkeley, University of

340

Technology Transfer  

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

Energy Efficiency & Renewable and Energy - Commercialization Energy Efficiency & Renewable and Energy - Commercialization Deployment SBIR/STTR - Small Business Innovation Research and Small Business Technology Transfer USEFUL LINKS Contract Opportunities: FBO.gov FedConnect.net Grant Opportunities DOE Organization Chart Association of University Technology Managers (AUTM) Federal Laboratory Consortium (FLC) Feedback Contact us about Tech Transfer: Mary.McManmon@science.doe.gov Mary McManmon, 202-586-3509 link to Adobe PDF Reader link to Adobe Flash player Licensing Guide and Sample License The Technology Transfer Working Group (TTWG), made up of representatives from each DOE Laboratory and Facility, recently created a Licensing Guide and Sample License [762-KB PDF]. The Guide will serve to provide a general understanding of typical contract terms and provisions to help reduce both

Note: This page contains sample records for the topic "technology assumptions figure" 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

Technology Application Centers: Facilitating Technology Transfer  

E-Print Network (OSTI)

transfer plus technology application. A&C Enercom has learned from experience that technology deployment will not occur unless utilities achieve both technology transfer (e.g, the dissemination of information) and technology application (e.g., the direct...

Kuhel, G. J.

342

Manufacturing technology  

SciTech Connect

The specific goals of the Manufacturing Technology thrust area are to develop an understanding of fundamental fabrication processes, to construct general purpose process models that will have wide applicability, to document our findings and models in journals, to transfer technology to LLNL programs, industry, and colleagues, and to develop continuing relationships with industrial and academic communities to advance our collective understanding of fabrication processes. Advances in four projects are described here, namely Design of a Precision Saw for Manufacturing, Deposition of Boron Nitride Films via PVD, Manufacturing and Coating by Kinetic Energy Metallization, and Magnet Design and Application.

Blaedel, K.L.

1997-02-01T23:59:59.000Z

343

FEMP/NTDP Technology Focus New Technology  

E-Print Network (OSTI)

FEMP/NTDP Technology Focus New Technology Demonstration Program Technology Focus FEMPFederal Energy Management Program Trends in Energy Management Technology: BCS Integration Technologies ­ Open Communications into a complete EMCIS. The first article [1] covered enabling technologies for emerging energy management systems

344

(Environmental technology)  

SciTech Connect

The traveler participated in a conference on environmental technology in Paris, sponsored by the US Embassy-Paris, US Environmental Protection Agency (EPA), the French Environmental Ministry, and others. The traveler sat on a panel for environmental aspects of energy technology and made a presentation on the potential contributions of Oak Ridge National Laboratory (ORNL) to a planned French-American Environmental Technologies Institute in Chattanooga, Tennessee, and Evry, France. This institute would provide opportunities for international cooperation on environmental issues and technology transfer related to environmental protection, monitoring, and restoration at US Department of Energy (DOE) facilities. The traveler also attended the Fourth International Conference on Environmental Contamination in Barcelona. Conference topics included environmental chemistry, land disposal of wastes, treatment of toxic wastes, micropollutants, trace organics, artificial radionuclides in the environment, and the use biomonitoring and biosystems for environmental assessment. The traveler presented a paper on The Fate of Radionuclides in Sewage Sludge Applied to Land.'' Those findings corresponded well with results from studies addressing the fate of fallout radionuclides from the Chernobyl nuclear accident. There was an exchange of new information on a number of topics of interest to DOE waste management and environmental restoration needs.

Boston, H.L.

1990-10-12T23:59:59.000Z

345

COMMERCIALIZING TECHNOLOGIES &  

E-Print Network (OSTI)

measurement." Dan Gillings President Applied Technology Associates NMSBA reduced my manufacturing costs by 20 a patent for a revolutionary new, even more shock absorbent mouthguard they will manufacture from material including a new additive. 2 Animated Talking Toys Heilbron Associates had acquired rights to a fiber optic

346

About the Work of Art In the 1940s, Christian Petersen sculpted a plaster figure of George Washington Carver. He  

E-Print Network (OSTI)

About the Work of Art In the 1940s, Christian Petersen sculpted a plaster figure of George this sculpture in bronze as he originally intended, so he painted the work of art to resemble bronze. The plaster

Mayfield, John

347

Vacuum Technology  

SciTech Connect

The environmental condition called vacuum is created any time the pressure of a gas is reduced compared to atmospheric pressure. On earth we typically create a vacuum by connecting a pump capable of moving gas to a relatively leak free vessel. Through operation of the gas pump the number of gas molecules per unit volume is decreased within the vessel. As soon as one creates a vacuum natural forces (in this case entropy) work to restore equilibrium pressure; the practical effect of this is that gas molecules attempt to enter the evacuated space by any means possible. It is useful to think of vacuum in terms of a gas at a pressure below atmospheric pressure. In even the best vacuum vessels ever created there are approximately 3,500,000 molecules of gas per cubic meter of volume remaining inside the vessel. The lowest pressure environment known is in interstellar space where there are approximately four molecules of gas per cubic meter. Researchers are currently developing vacuum technology components (pumps, gauges, valves, etc.) using micro electro mechanical systems (MEMS) technology. Miniature vacuum components and systems will open the possibility for significant savings in energy cost and will open the doors to advances in electronics, manufacturing and semiconductor fabrication. In conclusion, an understanding of the basic principles of vacuum technology as presented in this summary is essential for the successful execution of all projects that involve vacuum technology. Using the principles described above, a practitioner of vacuum technology can design a vacuum system that will achieve the project requirements.

Biltoft, P J

2004-10-15T23:59:59.000Z

348

Science Highlight October 2010 Figure 1. Schematic process for the fabrication  

E-Print Network (OSTI)

Pressure Sensors with Micro-structured Rubber Dielectric Layers The development of an electronic skin, and to biomedical applications such as prosthetic skin. A technology for the production of electronic skin needs in the past, there is still a need for a low-cost, large-area compatible technology for the production

Wechsler, Risa H.

349

Industrial Conservation Technology Energy Savings Monitoring System  

E-Print Network (OSTI)

steps using t~o i i ! The pape!r concludes with a summary of the system benefits to government and industry. BACKGROUND AND PURPOSE OF THE IMPACT SCOREBOARD SYSTEM FIGURE 1 During the past four years, Argonne National TECHNOLOGY PROCESS FLOW...* *Regions where teetu,ology i.pact is significant Reference 1 The most recent work was sponsored by Argonne National Laboratory and the Department of Energy under contract ANL 39-109-38-5079. I I I I , I I I I I I 819 ESL-IE-80...

Crowell, J. J.; Phipps, H. R., Jr.

1980-01-01T23:59:59.000Z

350

TECHNOLOGY TRANSFER  

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

404-NOV. 1, 2000 404-NOV. 1, 2000 TECHNOLOGY TRANSFER COMMERCIALIZATION ACT OF 2000 VerDate 11-MAY-2000 04:52 Nov 16, 2000 Jkt 089139 PO 00000 Frm 00001 Fmt 6579 Sfmt 6579 E:\PUBLAW\PUBL404.106 APPS27 PsN: PUBL404 114 STAT. 1742 PUBLIC LAW 106-404-NOV. 1, 2000 Public Law 106-404 106th Congress An Act To improve the ability of Federal agencies to license federally owned inventions. Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled, SECTION 1. SHORT TITLE. This Act may be cited as the ''Technology Transfer Commer- cialization Act of 2000''. SEC. 2. FINDINGS. The Congress finds that- (1) the importance of linking our unparalleled network of over 700 Federal laboratories and our Nation's universities with United States industry continues to hold great promise

351

Renewable Energy Technology Costs and Drivers | Open Energy Information  

Open Energy Info (EERE)

Renewable Energy Technology Costs and Drivers Renewable Energy Technology Costs and Drivers Jump to: navigation, search Tool Summary Name: Renewable Energy Technology Costs and Drivers Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Renewable Energy Topics: Finance, Market analysis, Technology characterizations Resource Type: Publications Website: prod-http-80-800498448.us-east-1.elb.amazonaws.com//w/images/6/63/RE_C Renewable Energy Technology Costs and Drivers Screenshot References: Renewable Energy Technology Costs and Drivers[1] Summary "Provided herein is a preliminary, high-level summary of future and projected cost estimates for 1) Biofuels, 2) Solar (PV & CSP), and 3) Vehicle Batteries. Cost estimates are dependent on various assumptions and

352

Emerging technologies  

SciTech Connect

The mission of the Emerging Technologies thrust area at Lawrence Livermore National Laboratory is to help individuals establish technology areas that have national and commercial impact, and are outside the scope of the existing thrust areas. We continue to encourage innovative ideas that bring quality results to existing programs. We also take as our mission the encouragement of investment in new technology areas that are important to the economic competitiveness of this nation. In fiscal year 1992, we have focused on nine projects, summarized in this report: (1) Tire, Accident, Handling, and Roadway Safety; (2) EXTRANSYT: An Expert System for Advanced Traffic Management; (3) Odin: A High-Power, Underwater, Acoustic Transmitter for Surveillance Applications; (4) Passive Seismic Reservoir Monitoring: Signal Processing Innovations; (5) Paste Extrudable Explosive Aft Charge for Multi-Stage Munitions; (6) A Continuum Model for Reinforced Concrete at High Pressures and Strain Rates: Interim Report; (7) Benchmarking of the Criticality Evaluation Code COG; (8) Fast Algorithm for Large-Scale Consensus DNA Sequence Assembly; and (9) Using Electrical Heating to Enhance the Extraction of Volatile Organic Compounds from Soil.

Lu, Shin-yee

1993-03-01T23:59:59.000Z

353

Adjoint-Based Implicit Uncertainty Analysis for Figures of Merit in a Laser Inertial Fusion Engine  

SciTech Connect

A primary purpose of computational models is to inform design decisions and, in order to make those decisions reliably, the confidence in the results of such models must be estimated. Monte Carlo neutron transport models are common tools for reactor designers. These types of models contain several sources of uncertainty that propagate onto the model predictions. Two uncertainties worthy of note are (1) experimental and evaluation uncertainties of nuclear data that inform all neutron transport models and (2) statistical counting precision, which all results of a Monte Carlo codes contain. Adjoint-based implicit uncertainty analyses allow for the consideration of any number of uncertain input quantities and their effects upon the confidence of figures of merit with only a handful of forward and adjoint transport calculations. When considering a rich set of uncertain inputs, adjoint-based methods remain hundreds of times more computationally efficient than Direct Monte-Carlo methods. The LIFE (Laser Inertial Fusion Energy) engine is a concept being developed at Lawrence Livermore National Laboratory. Various options exist for the LIFE blanket, depending on the mission of the design. The depleted uranium hybrid LIFE blanket design strives to close the fission fuel cycle without enrichment or reprocessing, while simultaneously achieving high discharge burnups with reduced proliferation concerns. Neutron transport results that are central to the operation of the design are tritium production for fusion fuel, fission of fissile isotopes for energy multiplication, and production of fissile isotopes for sustained power. In previous work, explicit cross-sectional uncertainty analyses were performed for reaction rates related to the figures of merit for the depleted uranium hybrid LIFE blanket. Counting precision was also quantified for both the figures of merit themselves and the cross-sectional uncertainty estimates to gauge the validity of the analysis. All cross-sectional uncertainties were small (0.1-0.8%), bounded counting uncertainties, and were precise with regard to counting precision. Adjoint/importance distributions were generated for the same reaction rates. The current work leverages those adjoint distributions to transition from explicit sensitivities, in which the neutron flux is constrained, to implicit sensitivities, in which the neutron flux responds to input perturbations. This treatment vastly expands the set of data that contribute to uncertainties to produce larger, more physically accurate uncertainty estimates.

Seifried, J E; Fratoni, M; Kramer, K J; Latkowski, J F; Peterson, P F; Powers, J J; Taylor, J M

2010-12-03T23:59:59.000Z

354

Building Technologies Office: About Emerging Technologies  

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

Emerging Technologies Emerging Technologies The Emerging Technologies team funds the research and development of cost-effective, energy-efficient building technologies within five years of commercialization. Learn more about the: Key Technologies Benefits Results Key Technologies Specific technologies pursued within the Emerging Technologies team include: Lighting: advanced solid-state lighting systems, including core technology research and development, manufacturing R&D, and market development Heating, ventilation, and air conditioning (HVAC): heat pumps, heat exchangers, and working fluids Building Envelope: highly insulating and dynamic windows, cool roofs, building thermal insulation, façades, daylighting, and fenestration Water Heating: heat pump water heaters and solar water heaters

355

Manufacturing Science and Technology: Technologies  

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

Meso-Machining Meso-Machining PDF format (182 kb) Sandia's Micro-Electro Discharge Machine (Micro-EDM) (above). On the upper right inset is the Micro-EDM electode in copper that was made with the LIGA (electroforming) process. On the lower right inset is a screen fabricated into .006 inch kovar sheet using the Micro-EDM electrode. The walls of the screen are .002 inch wide by .006 inch deep. Meso-machining technologies being developed at Sandia National Laboratories will help manufacturers improve a variety of production processes, tools, and components. Meso-machining will benefit the aerospace, automotive, biomedical, and defense industries by creating feature sizes from the 1 to 50 micron range. Sandia's Manufacturing Science and Technology Center is developing the

356

Manufacturing Science and Technology: Technologies  

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

LTCC multi-chip module LTCC multi-chip module A high density LTCC multi-chip module Electronic Packaging PDF format (150 kb) The Electronic Packaging technologies in the Thin Film, Vacuum, & Packaging Department are a resource for all aspects of microelectronic packaging. From design and layout to fabrication of prototype samples, the staff offers partners the opportunity for concurrent engineering and development of a variety of electronic packaging concepts. This includes assistance in selecting the most appropriate technology for manufacturing, analysis of performance characteristics and development of new and unique processes. Capabilities: Network Fabrication Low Temperature Co-Fired Ceramic (LTCC) Thick Film Thin Film Packaging and Assembly Chip Level Packaging MEMs Packaging

357

Portugal Egypt Figure 2. Natural gas supply and disposition in the United States, 2012  

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

Portugal Egypt Figure 2. Natural gas supply and disposition in the United States, 2012 (trillion cubic feet) Natural Gas Plant Liquids Production Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Natural Gas Storage Facilities Exports Japan Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 29.5 0.8 0.2 3.3 2.963 0.112 0.620 0.971 0.014 24.1 1.3 2.9 2.8 2.5 2.9 7.2 0.03 9.1 0.003 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-895, "Annual Quantity and

358

Thermoelectric figure of merit of Ag{sub 2}Se with Ag and Se excess  

SciTech Connect

In the temperature range of 100-300 K, the electric ({sigma}) and thermoelectric ({alpha}{sub 0}) properties of Ag{sub 2}Se with an excess of Ag as high as {approx}0.1 at. % and Se as high as {approx}1.0 at. %, respectively, are investigated. From the data on {sigma}, {alpha}{sub 0}, and {chi}{sub tot} (thermal conductivities), the thermoelectric power {alpha}{sub 0}{sup 2}{sigma} and the figure of merit Z are calculated. It is found that {alpha}{sub 0}{sup 2}{sigma} and Z attain the peak values at room temperature and the electron concentration n {approx} 6.5 x 10{sup 18} cm{sup -3}.

Aliev, F. F., E-mail: farzali@physics.ab.az; Jafarov, M. B.; Eminova, V. I. [Azerbaijan National Academy of Sciences, Institute of Physics (Azerbaijan)

2009-08-15T23:59:59.000Z

359

High figure-of-merit ultrathin metal transparent electrodes incorporating a conductive grid  

SciTech Connect

It is known that ultrathin (<10 nm) metal films (UTMFs) can achieve high level of optical transparency at the expense of the electrical sheet resistance. In this letter, we propose a design, the incorporation of an ad hoc conductive grid, which can significantly reduce the sheet resistance of UTMF based transparent electrodes, leaving practically unchanged their transparency. The calculated highest figure-of-merit corresponds to a filling factor and a grid spacing-to-linewidth ratio of 0.025 and 39, respectively. To demonstrate the capability of the proposed method the sheet resistance of a continuous 2 nm Ni film (>950 OMEGA/square) is reduced to approx6.5 OMEGA/square when a 100 nm thick Cu grid is deposited on it. The transparency is instead maintained at values exceeding 75%. These results, which can be further improved by making thicker grids, already demonstrate the potential in applications, such as photovoltaic cells, optical detectors and displays.

Ghosh, D. S.; Chen, T. L. [ICFO-Institut de Ciencies Fotoniques, Mediterranean Technology Park, Castelldefels, Barcelona, 08860 Catalunya (Spain); Pruneri, V. [ICFO-Institut de Ciencies Fotoniques, Mediterranean Technology Park, Castelldefels, Barcelona, 08860 Catalunya (Spain); ICREA-Institucio Catalana de Recerca i Estudis Avancats, 08010 Barcelona (Spain)

2010-01-25T23:59:59.000Z

360

Thermoelectric figure of merit of silicide two-dimensional quantum wells  

SciTech Connect

The calculation was made to estimate thermoelectric figure of merit, ZT, of quantum well structured films made of Transition Metal (TM) silicide, alloys of silicon and germanium, etc. 1-dimensional quantum confinement of charge carrier with quantum well structure were assumed in the calculation model. Transport properties parallel to the layer were estimated as a function of well width. Full account was made of Fermi statistics, and thermal conduction in the barrier layer was taken into account. Results of the calculation indicate that moderate increase in ZT is possible in modulated doping superlattice structure of TM silicides. But ZT decreases with decreasing well width in combinations of silicon and TM silicides. This is due to the larger thermal conductivity of silicon used as a barrier material.

Yamamoto, Z.; Ohta, T. [Electrotechnical Lab., Tsukuba, Ibaraki (Japan)

1996-12-31T23:59:59.000Z

Note: This page contains sample records for the topic "technology assumptions figure" 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

PHENIX (Pioneering High Energy Nuclear Interaction eXperiment): Data Tables and Figures from Published Papers  

DOE Data Explorer (OSTI)

The PHENIX Experiment is the largest of the four experiments currently taking data at the Relativistic Heavy Ion Collider. PHENIX, the Pioneering High Energy Nuclear Interaction eXperiment, is an exploratory experiment for the investigation of high energy collisions of heavy ions and protons. PHENIX is designed specifically to measure direct probes of the collisions such as electrons, muons, and photons. The primary goal of PHENIX is to discover and study a new state of matter called the Quark-Gluon Plasma. More than 60 published papers and preprints are listed here with links to the full text and separate links to the supporting PHENIX data in plain text tables and to EPS and GIF figures from the papers.

362

TECHNOLOGY LICENSE APPLICATION Office of Technology Transfer  

E-Print Network (OSTI)

Page 1 TECHNOLOGY LICENSE APPLICATION Office of Technology Transfer UT-Battelle, LLC (UT. One of the functions of UT-BATTELLE's Office of Technology Transfer is to negotiate license agreements

Pennycook, Steve

363

Hydrogen Technologies Group  

SciTech Connect

The Hydrogen Technologies Group at the National Renewable Energy Laboratory advances the Hydrogen Technologies and Systems Center's mission by researching a variety of hydrogen technologies.

Not Available

2008-03-01T23:59:59.000Z

364

Information Technology and Libraries  

E-Print Network (OSTI)

Sue Chesley Perry 196 INFORMATION TECHNOLOGY AND LIBRARIES |LITA - Library & Information Technology Association). ”Two of the 190 INFORMATION TECHNOLOGY AND LIBRARIES |

Hubble, Ann; Murphy, Deborah A.; Perry, Susan Chesley

2011-01-01T23:59:59.000Z

365

Technology Transfer: Success Stories: Licensed Technologies  

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

Licensed Technologies Licensed Technologies Here are some of our licensees and the technologies they are commercializing; see our Start-Up Company page for more of our technology licenses. Company (Licensee) Technology Life Technologies Corp. Cell lines for breast cancer research Bristol Myers Squibb; Novartis; Plexxikon Inc.; Wyeth Research; GlaxoSmithKline; Johnson & Johnson; Boehringer Ingelheim Pharmaceuticals, Inc.; Genzyme Software for automated macromolecular crystallography Shell International Exploration and Production; ConnocoPhillips Company; StatOil ASA; Schlumburger Technology Corportation; BHP Billiton Ltd.; Chevron Energy Technology Company; EniTecnologie S.p.A. Geo-Hydrophysical modeling software Microsoft Home Energy Saver software distribution Kalinex Colorimetric bioassay

366

Vehicle Technologies Office: 2008 Advanced Vehicle Technology...  

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

8 Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Vehicle Technologies Office: 2008 Advanced...

367

Vehicle Technologies Office: 2009 Advanced Vehicle Technology...  

Office of Environmental Management (EM)

Vehicle Technologies Office: 2009 Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Vehicle...

368

Manufacturing Science and Technology: Technologies  

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

Thin Films Thin Films PDF format (189 kb) Multi Layer Thin Films Multi Layer Thin Films Planetary Sputtering SystemsPlanetary Sputtering Systems Planetary Sputtering Systems The Thin Film laboratory within Manufacturing Science & Technology provides a variety of vapor deposition processes and facilities for cooperative research and development. Available capabilities include electron beam evaporation, sputter deposition, reactive deposition processes, atomic layer deposition (ALD) and specialized techniques such as focused ion beam induced chemical vapor deposition. Equipment can be reconfigured for prototyping or it can be dedicated to long-term research, development and manufacturing. Most sputter and evaporative deposition systems are capable of depositing multiple materials.

369

Manufacturing Science and Technology: Technologies  

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

Molding, Thermoforming & Compounding Molding, Thermoforming & Compounding PDF format (89 kb) The Manufacturing Science & Technology Center helps customers choose the best materials and techniques for their product by providing a variety of conformal coatings, thermoforming, and compounding materials using established or custom designed processes. The department provides consulting services for injection molding and rubber compounding projects. Capabilities: Thermoforming: Processing thermoplastics such as polycarbonate, polymethyl methacrylate, polypropylene polystyrene, and ABS; producing holding trays, protective caps, and custom covers Injection Molding Consultation: Designing your part to be injection molded, helping you choose the best material for your application, and supporting your interface with injection molding companies

370

Technology Name  

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

Development Development DE-EM0000598 D&D KM-IT For the deployment of Information Technology for D&D knowledge management Page 1 of 2 Florida International University Florida D&D Knowledge Management Information Tool Challenge Deactivation and decommissioning (D&D) work is a high priority across the DOE Complex. The D&D community associated with the various DOE sites has gained extensive knowledge and experience over the years. To prevent the D&D knowledge and expertise from being lost over time an approach is needed to capture and maintain this valuable information in a universally available and easily usable system. Technical Solution The D&D KM-IT serves as a centralized repository

371

CSIR TECHNOLOGY AWARDS -2013  

E-Print Network (OSTI)

CSIR TECHNOLOGY AWARDS - 2013 GUIDELINES & PROFORMAE FOR NOMINATIONS Planning and Performance 2013 #12;CSIR TECHNOLOGY AWARDS BRIEF DETAILS ,,CSIR Technology Awards were instituted in 1990 to encourage multi-disciplinary in- house team efforts and external interaction for technology development

Jayaram, Bhyravabotla

372

Lab Visits on DOE Technology Roadmap and the Technology Advisory...  

Office of Environmental Management (EM)

DOE Technology Roadmap and the Technology Advisory Board OCIO Technology Summit: High Performance Computing Lab Visits on DOE Technology Roadmap and the Technology Advisory Board...

373

INL Technology Transfer  

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

Technology Transfer Through collaboration with industry partners, INL's Technology Deployment office makes available to American agencies and international organizations unique...

374

Energy Technology Solutions  

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

Public-private partnerships transforming industry and list of commercialized technologies, knowledge-based results, and promising technologies

375

California Institute of Technology  

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

California Institute of Technology o Ivan Celanovic, Principal Research Scientist, Massachusetts Institute of Technology o Geoffrey Kinsey, Director, Photovoltaic...

376

Technology Validation Fact Sheet  

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

Fact sheet produced by the Fuel Cell Technologies Office describing hydrogen and fuel cell technology validation efforts.

377

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program  

E-Print Network (OSTI)

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division of asphalt pavements. TECHNOLOGY TRANSFER PROGRAM JULY 2010, VOL. 2, NO. 1 Warm Mix Asphalt Hits the Road, and California LTAP Field Engineer, Technology Transfer Program, Institute of Transportation Studies, UC Berkeley

California at Berkeley, University of

378

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program  

E-Print Network (OSTI)

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division solve the very serious problem of waste tire disposal. TECHNOLOGY TRANSFER PROGRAM SEPTEMBER 2009, VOL, University of California Pavement Research Center, and California LTAP Field Engineer, Technology Transfer

California at Berkeley, University of

379

Venus Technology Plan Venus Technology Plan  

E-Print Network (OSTI)

Venus Technology Plan May 2014 #12; ii Venus Technology Plan At the Venus Exploration a Roadmap for Venus Exploration (RVE) that is consistent with VEXAG priorities as well as Planetary Decadal Survey priorities, and (3) develop a Technology Plan for future Venus missions (after a Technology

Rathbun, Julie A.

380

NREL: Technology Transfer - Technology Partnership Agreements  

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

Technology Partnership Agreements Technology Partnership Agreements Through technology partnership agreements, NREL provides partners with technical support to help commercialize and deploy energy technologies and products. We do not fund any projects under a technology partnership agreement. The partner provides the necessary resources and covers our costs of providing technical services. NREL does provide funding opportunities through competitively placed contracts. For more information, see our business opportunities. Process The technology partnership agreement process basically includes 11 steps. See the NREL Technology Partnership Agreement Process flowchart. We are committed to working through these steps in a timely manner. Experience suggests that the fastest means to reach an agreement is through

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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.


381

Prioritizing Climate Change Mitigation Alternatives: Comparing Transportation Technologies to Options in Other Sectors  

E-Print Network (OSTI)

electricity production cost of new coal and natural gasgas reduction cost-effectiveness of light duty vehicle refrigerant systems 56 Figure 17. Ethanol productionCost effectiveness curve for fuel feedstock GHG reduction technologies Greenhouse gas emissions (million tonne CO2e/yr) Reference Natural gas production

Lutsey, Nicholas P.

2008-01-01T23:59:59.000Z

382

Manufacturing Science and Technology: Technologies  

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

Sol-Gel Glasses Sol-Gel Glasses PDF format (74 kb) Sol Gel Sol Gel Coating with Sol-Gel Glasses Coating with Sol-Gel Glasses The Manufacturing Science & Technology Center conducts process development and scale-up of ceramic and glass materials prepared by the sol-gel process. Sol-gel processing uses solutions prepared at low temperature rather than high temperature powder processing to make materials with controlled properties. A precursor sol-gel solution (sol) is either poured into a mold and allowed to gel or is diluted and applied to a substrate by spinning, dipping, spraying, electrophoresis, inkjet printing or roll coating. Controlled drying of the wet gel results in either a ceramic or glass bulk part or a thin film on a glass, plastic, ceramic or metal substrate.

383

Manufacturing Science and Technology: Technologies  

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

Ion Beam Manufacture Ion Beam Manufacture PDF format (113 kb) Example sine wave FIB sputtered into initially planar Si substrate Example sine wave FIB sputtered into initially planar Si substrate Sandia Manufacturing Science & Technology's Focused Ion Beam (FIB) laboratory provides an opportunity for research, development and prototyping. Currently, our scientists are developing methods for ion beam sculpting microscale tools, components and devices. This includes shaping of specialty tools such as end-mills, turning tools and indenters. Many of these have been used in ultra-precision machining DOE applications. Additionally, staff are developing the capability to ion mill geometrically-complex features and substrates. This includes the ability to sputter predetermined curved shapes of various symmetries and

384

Manufacturing Science and Technology: Technologies  

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

3 foot diameter cyanate ester / fiberglass laminated antenna 3 foot diameter cyanate ester / fiberglass laminated antenna 3 foot diameter cyanate ester / fiberglass laminated antenna Composites PDF format (145 kb) Polymer composite materials are composed of fibers in an organic matrix and can be useful in applications that require a high strength-to-weight ratio. Sandia's MS&T staff will work with you from part design, through mold and tooling design, and on through fabrication. The department is capable of fabricating small and large complex parts and will help you choose the most economical technique for your composite needs. Capabilities: The Center has a comprehensive program on the mechanical engineering design, tooling and fixturing, lay-out, complete processing of the composite structure, and technology transfer of composite structures for a

385

Manufacturing Science and Technology: Technologies  

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

Laser Engineered Net Shaping(tm) Laser Engineered Net Shaping(tm) PDF format (140 kb) picture of processing blade Processing Blade Sandia National Laboratories has developed a new technology to fabricate three-dimensional metallic components directly from CAD solid models. This process, called Laser Engineered Net ShapingT (LENS®), exhibits enormous potential to revolutionize the way in which metal parts, such as complex prototypes, tooling, and small-lot production items, are produced. The process fabricates metal parts directly from the Computer Aided Design (CAD) solid models using a metal powder injected into a molten pool created by a focused, high-powered laser beam. Simultaneously, the substrate on which the deposition is occurring is scanned under the beam/powder interaction zone to fabricate the desired

386

Diffusion of irreversible energy technologies under uncertainty  

SciTech Connect

This paper presents a model of technology diffusion is consistent with characteristics of participants in most energy markets. Whereas the models used most widely for empirical research are based on the assumption that the extended delays in adoption of cost-saving innovations are the result of either lack of knowledge about the new processes or heterogeneity across potential adopters, the model presented in this paper is based on the strategic behavior by firms. The strategic interdependence of the firms` decisions is rooted in spillover effects associated with an inability to exclude others from the learning-by-doing acquired when a firm implements a new technology. The model makes extensive use of recent developments in investment theory as it relates irreversible investments under uncertainty.

Cacallo, J.D.; Sutherland, R.J.

1993-09-01T23:59:59.000Z

387

Multiple-Filled Skutterudites: High Thermoelectric Figure of Merit through Separately Optimizing Electrical and Thermal Transports  

SciTech Connect

Skutterudites CoSb{sub 3} with multiple cofillers Ba, La, and Yb were synthesized and very high thermoelectric figure of merit ZT = 1.7 at 850 K was realized. X-ray diffraction of the densified multiple-filled bulk samples reveals all samples are phase pure. High-resolution scanning transmission electron microscopy (STEM) and energy dispersive X-ray spectroscopy (EDS) analysis confirm that multiple guest fillers occupy the nanoscale-cages in the skutterudites. The fillers are further shown to be uniformly distributed and the Co-Sb skutterudite framework is virtually unperturbed from atomic scale to a few micrometers. Our results firmly show that high power factors can be realized by adjusting the total filling fraction of fillers with different charge states to reach the optimum carrier density, at the same time, lattice thermal conductivity can also be significantly reduced, to values near the glass limit of these materials, through combining filler species of different rattling frequencies to achieve broad-frequency phonon scattering. Therefore, partially filled skutterudites with multiple fillers of different chemical nature render unique structural characteristics for optimizing electrical and thermal transports in a relatively independent way, leading to continually enhanced ZT values from single- to double-, and finally to multiple-filled skutterudites. The idea of combining multiple fillers with different charge states and rattling frequencies for performance optimization is also expected to be valid for other caged TE compounds.

Zhang, Weiqing [Chinese Academy of Sciences; Yang, Jiong [Chinese Academy of Sciences; Yang, Jihui [General Motors Corporation; Wang, Hsin [ORNL; Salvador, James R. [GM R& D and Planning, Warren, Michigan; Shi, Xun [General Motors Corporation-R& D; Chi, Miaofang [ORNL; Cho, Jung Y [GM R& D and Planning, Warren, Michigan; Bai, Shengqiang [Chinese Academy of Sciences; Chen, Lidong [Chinese Academy of Sciences

2011-01-01T23:59:59.000Z

388

Phase transition enhanced thermoelectric figure-of-merit in copper chalcogenides  

SciTech Connect

While thermoelectric materials can be used for solid state cooling, waste heat recovery, and solar electricity generation, low values of the thermoelectric figure of merit, zT, have led to an efficiency too low for widespread use. Thermoelectric effects are characterized by the Seebeck coefficient or thermopower, which is related to the entropy associated with charge transport. For example, coupling spin entropy with the presence of charge carriers has enabled the enhancement of zT in cobalt oxides. We demonstrate that the coupling of a continuous phase transition to carrier transport in Cu{sub 2}Se over a broad (360–410 K) temperature range results in a dramatic peak in thermopower, an increase in phonon and electron scattering, and a corresponding doubling of zT (to 0.7 at 406 K), and a similar but larger increase over a wider temperature range in the zT of Cu{sub 1.97}Ag{sub .03}Se (almost 1.0 at 400 K). The use of structural entropy for enhanced thermopower could lead to new engineering approaches for thermoelectric materials with high zT and new green applications for thermoelectrics.

Brown, David R.; Day, Tristan; Snyder, G. Jeffrey, E-mail: jsnyder@caltech.edu [Department of Applied Physics and Materials Science, California Institute of Technology, 1200 East California Boulevard, Pasadena, California 91125 (United States); Borup, Kasper A.; Christensen, Sebastian; Iversen, Bo B. [Department of Chemistry and iNano, Aarhus University, Aarhus 8000 (Denmark)

2013-11-01T23:59:59.000Z

389

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

390

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

391

screened intervals (415421 m and 689695 m; Figure 2) in the observations wells will be useful  

E-Print Network (OSTI)

studies.We thank Bayshore Concrete and Ray Otten of the Sustainable Technology Park for access Chesapeake Bay Crater,522 pp.,Springer-Verlag, New York. Rieke,H.H.,and G.V.Chilingarian (1974),Compaction.Edwards,and Jean M. Self-Trail,USGS,Reston,Va.; and Roger H.Morin, USGS,Lakewood,Colo. For additional information

Sprintall, Janet

392

Figure 1 Design concept for automated application Dr Huirong Le and his team from Mechanical  

E-Print Network (OSTI)

integrity in deep-water wells. A further project is to design a dry compound to permit non-lubricated make/gas tubular connections in ultra deep water wells by testing existing design and coating technologies in ultra deep water brokered by the National Subsea Research Institute (NRSI) ­ an academic

Greenaway, Alan

393

Figure 1. Schematic drawing showing the components of a Li-ion battery cell and the information that can be  

E-Print Network (OSTI)

Proposals In Situ Electron Microscopy and Spectroscopy Studies of Interfaces in Advanced Li-ion BatteriesFigure 1. Schematic drawing showing the components of a Li-ion battery cell and the information (8300 28th Ct NE, Unit 200, Lacey, Washington 98516) Electrochemical energy storage devices (EES

394

Enhanced thermoelectric figure of merit in edge-disordered zigzag graphene nanoribbons H. Sevinli* and G. Cuniberti  

E-Print Network (OSTI)

qualify zigzag graphene nanoribbons as a very promising material for thermoelectric applications. DOI: 10Enhanced thermoelectric figure of merit in edge-disordered zigzag graphene nanoribbons H. Sevinçli* and G. Cuniberti Institute for Materials Science and Max Bergmann Center of Biomaterials, Dresden

Cuniberti, Gianaurelio

395

Figure 1. Photolithography techniques are used to create microfluidic flow cells where biofouling can be studied for  

E-Print Network (OSTI)

Figure 1. Photolithography techniques are used to create microfluidic flow cells where biofouling and construct microfluidic flow cells for real-time observation of bacterial attachment and biofouling. He microfluidic devices, and computer multiphysics simulation with COMSOL. The student will also learn to work

Shor, Leslie McCabe

396

Correct figures for Gertz, Stewart, and Khosla, ``An Iconic Programming Language for SensorBased Robots,'' SOAR 1992. interface X  

E-Print Network (OSTI)

#12; #12; #12; #12; #12; #12; #12; #12; Correct figures for Gertz, Stewart, and Khosla, ``An Iconic S job T actuator interface Z to actuator Z from sensor Y raw data in typed data in from sensor X iconic programming language iconic programs (jobs) graphical interfaces real­time tasks subroutine calls graphical

397

Figure 2. Urban lawns have ~ 2x the microbial biomass of native and/or cultivated areas. Viable microbial biomass  

E-Print Network (OSTI)

Figure 2. Urban lawns have ~ 2x the microbial biomass of native and/or cultivated areas. Viable and fertilized Corn: flood irrigated and fertilized Wheat-Fallow: a dryland winter wheat cropping system C and N mineralization rates (data not shown) than other ecosystems, suggesting that energy

Hall, Sharon J.

398

Development of Figure of Merits (FOMs) for Intermediate Coolant Characterization and Selection  

SciTech Connect

This paper focuses on characterization of several coolant performances in the IHTL. There are lots of choices available for the IHTL coolants; gases, liquid metals, molten salts, and etc. Traditionally, the selection of coolants is highly dependent on engineer's experience and decisions. In this decision, the following parameters are generally considered: melting point, vapor pressure, density, thermal conductivity, heat capacity, viscosity, and coolant chemistry. The followings are general thermal-hydraulic requirements for the coolant in the IHTL: (1) High heat transfer performance - The IHTL coolant should exhibit high heat transfer performance to achieve high efficiency and economics; (2) Low pumping power - The IHTL coolant requires low pumping power to improve economics through less stringent pump requirements; (3) Low amount of coolant volume - The IHTL coolant requires less coolant volume for better economics; (4) Low amount of structural materials - The IHTL coolant requires less structural material volume for better economics; (5) Low heat loss - The IHTL requires less heat loss for high efficiency; and (6) Low temperature drop - The IHTL should allow less temperature drop for high efficiency. Typically, heat transfer coolants are selected based on various fluid properties such as melting point, vapor pressure, density, thermal conductivity, heat capacity, viscosity, and coolant chemistry. However, the selection process & results are highly dependent on the engineer's personal experience and skills. In the coolant selection, if a certain coolant shows superior properties with respect to the others, the decision will be very straightforward. However, generally, each coolant material exhibits good characteristics for some properties but poor for the others. Therefore, it will be very useful to have some figures of merits (FOMs), which can represent and quantify various coolant thermal performances in the system of interest. The study summarized in this paper focuses on developing general FOMs for the IHTL coolant selection and shows some estimation results.

Eung Soo Kim; Piyush Sabharwall; Nolan Anderson

2011-06-01T23:59:59.000Z

399

Summary and Presentations from “Estimating the Benefits and Costs of Distributed Energy Technologies” Workshop Now Available  

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

Beginning on September 30, 2014, the Department of Energy hosted a two-day workshop on “Estimating the Benefits and Costs of Distributed Energy Technologies” in Washington DC. The purpose of the workshop was to foster discussion about the analytic challenges associated with valuing the diverse impacts of deploying distributed energy technologies. Many valuation studies have been published in recent years, using different methods and assumptions.

400

NETL Technologies Recognized for Technology Development, Transfer |  

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

Recognized for Technology Development, Transfer Recognized for Technology Development, Transfer NETL Technologies Recognized for Technology Development, Transfer October 25, 2013 - 1:31pm Addthis Did you know? The Federal Laboratory Consortium for Technology Transfer is the nationwide network of federal laboratories that provides the forum to develop strategies and opportunities for linking laboratory mission technologies and expertise with the marketplace. In consonance with the Federal Technology Transfer Act of 1986 and related federal policy, the mission of the FLC is to promote and facilitate the rapid movement of federal laboratory research results and technologies into the mainstream of the U.S. economy. Learn more about the FLC. A great invention that sits on a shelf, gathering dust, benefits no one.

Note: This page contains sample records for the topic "technology assumptions figure" 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

NREL: Technology Transfer - Technologies Available for Licensing  

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

Technologies Available for Licensing Technologies Available for Licensing Photo of NREL scientist in the NREL Hydrogen Lab. NREL's scientists and engineers develop award-winning technologies available for licensing. NREL scientists and engineers produce breakthrough and award-winning renewable energy and energy efficiency technologies that are available for licensing. We have many licensing opportunities for NREL-developed technologies, including our featured LED technologies. To see all our technologies available for licensing, visit the EERE Innovation Portal and search for NREL. Learn about our licensing agreement process. Contact For more information about licensing NREL-developed technologies, contact Eric Payne, 303-275-3166. Ombuds NREL strives to quickly resolve any issue or concern you may have regarding

402

Figure 2 Known and speculative Eocene-Oligocene paleovalleys of northern California and western Nevada. Lower portions of channels from Lindgren (1911) and Lawler (1995). Some central Nevada calderas shown.  

E-Print Network (OSTI)

Dayton Kings Beach Reno Sparks Sun Valley Yerington Dutch Hill Mine Bean Hill Spanish Peak TaylorsLake FIGURE 8 FIGURE 7 FIGURE 6 Taylorsville N 0 10 20 0 10 20 miles 30 kilometers CALIFORNIA NEVADA LassenCounty SierraCounty Plumas County Figure 4 Map of known and speculative Eocene-Oligocene paleovalleys

Tingley, Joseph V.

403

Fujita LaboratoryTokyo Instituteof Technology Tokyo Instituteof Technology  

E-Print Network (OSTI)

Fujita LaboratoryTokyo Instituteof Technology Tokyo Instituteof Technology Fujita LaboratoryTokyo Institute of Technology Tokyo Institute of Technology 231 #12;Fujita LaboratoryTokyo Instituteof Technology Tokyo Instituteof Technology 2 IT #12;Fujita LaboratoryTokyo Instituteof

404

Modern Biomass Conversion Technologies  

Science Journals Connector (OSTI)

This article gives an overview of the state-of-the-art of key biomass conversion technologies currently deployed and technologies that may...2...capture and sequestration technology (CCS). In doing so, special at...

Andre Faaij

2006-03-01T23:59:59.000Z

405

Building Technologies Research and  

E-Print Network (OSTI)

Building Technologies Research and Integration Center Breaking new ground in energy efficiency #12;Building Technologies Research To enjoy a sustainable energy and environmental future, America must these enormous challenges. Today, through the Building Technologies and Research Integration Center (BTRIC

Oak Ridge National Laboratory

406

Vehicle Technologies Office Merit Review 2014: Carbon Fiber Technology...  

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

Vehicle Technologies Office Merit Review 2014: Carbon Fiber Technology Facility Vehicle Technologies Office Merit Review 2014: Carbon Fiber Technology Facility Presentation given...

407

Technologies | Department of Energy  

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

Technologies Technologies Technologies October 7, 2013 - 10:20am Addthis The Federal Energy Management Program (FEMP) offers information about energy-efficient and renewable energy technologies through the following areas. Energy-Efficient Product Procurement: Find energy-efficient product requirements and technology, purchasing specifications, energy cost savings calculators, model contract language, and resources. Technology Deployment: Look up information about developing, measuring, and implementing new and underutilized technologies for energy management in the Federal Government. Renewable Energy: Read about renewable energy requirements, resources and technologies, project planning, purchasing renewable power, and more. See FEMP's other program areas. Addthis FEMP Home

408

Emerging Technologies Program  

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

Emerging Technologies Program Emerging Technologies Program Pat Phelan Program Manager patrick.phelan@ee.doe.gov (202)287-1906 April 2, 2013 Building Technologies Office Program Peer Review 2 | Building Technologies Office eere.energy.gov How ET Fits into BTO Research & Development * Develop technology roadmaps * Prioritize opportunities * Solicit and select innovative technology solutions * Collaborate with researchers * Solve technical barriers and test innovations to prove effectiveness * Measure and validate energy savings ET Mission: Accelerate the research, development and commercialization of emerging, high impact building technologies that are five years or less to market ready. 3 | Building Technologies Office eere.energy.gov

409

Partnerships and Technology Transfer  

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

Partnerships and Technology Transfer User Facilities Visiting Us Contact Us Home About Us Success Stories Events News ORNL Inventors (internal only) Find a Technology Search go...

410

Technology Transfer Ombudsman Program  

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

The Technology Transfer Commercialization Act of 2000, Public Law 106-404 (PDF) was enacted in November 2000.  Pursuant to Section 11, Technology Partnerships Ombudsman, each DOE national...

411

Vehicle Technologies Office: News  

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

EERE intends to issue, on behalf of its Fuel Cell Technologies Office, a Funding Opportunity Announcement (FOA) entitled "Fuel Cell Technologies Incubator: Innovations in Fuel Cell and Hydrogen...

412

Sandia Science & Technology Park  

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

search this site Sandia Science & Technology Park An internationally recognized technology community Home Properties Center for Collaboration & Commercialization (C3) Available...

413

Window industry technology roadmap  

SciTech Connect

Technology roadmap describing technology vision, barriers, and RD and D goals and strategies compiled by window industry stakeholders and government agencies.

Brandegee

2000-04-27T23:59:59.000Z

414

Technology Partnering Mechanisms  

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

expand a business with INL technologies, or require business support our Technology Transfer team is available to discuss the following contractual mechanisms: Cooperative...

415

Hydropower Program Technology Overview  

SciTech Connect

New fact sheets for the DOE Office of Power Technologies (OPT) that provide technology overviews, description of DOE programs, and market potential for each OPT program area.

Not Available

2001-10-01T23:59:59.000Z

416

Green Purchasing & Green Technology  

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

Purchasing & Technology Goals 6 & 7: Green Purchasing & Green Technology Our goal is to purchase and use environmentally sustainable products whenever possible and to implement...

417

Technology and energy supply  

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

2010 Energy Conference Energy and the Economy Technology and Energy Transformation Science and Technology + Economics and Business + Society and Environment + Policy and...

418

Building Technologies Office Overview  

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

data * Utilize energy performance data to inform decision making * Improve measurement and track and analyze results TECHNOLOGY TO MARKET TECHNOLOGY DEVELOPMENT 5...

419

Geothermal Technologies Subject Portal  

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

alike at: Introducing The Geothermal Technologies Subject Portal is sponsored by the Geothermal Technologies Program, DOE Energy Efficiency and Renewable Energy (EERE), and is...

420

Geothermal Technologies Legacy Collection  

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

sponsored by DOE The Geothermal Technologies Subject Portal founding sponsorship by the Geothermal Technologies Program, DOE Energy Efficiency and Renewable Energy (EERE), and...

Note: This page contains sample records for the topic "technology assumptions figure" 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

Technology Readiness Assessment Report  

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

This document has been developed to guide individuals and teams that will be involved in conducting Technology Readiness Assessments (TRAs) and developing Technology Maturation Plans (TMPs) for the...

422

Technology Integration Overview  

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

Technology Integration Overview Dennis A. Smith - Clean Cities Deployment Connie Bezanson - Vehicle Education June 17, 2014 VEHICLE TECHNOLOGIES OFFICE This presentation does not...

423

Integrated Technology Deployment  

Office of Energy Efficiency and Renewable Energy (EERE)

Integrated technology deployment is a comprehensive approach to implementing solutions that increase the use of energy efficiency and renewable energy technologies. Federal, state, and local...

424

Morgantown Energy Technology Center, technology summary  

SciTech Connect

This document has been prepared by the DOE Environmental Management (EM) Office of Technology Development (OTD) to highlight its research, development, demonstration, testing, and evaluation activities funded through the Morgantown Energy Technology Center (METC). Technologies and processes described have the potential to enhance DOE`s cleanup and waste management efforts, as well as improve US industry`s competitiveness in global environmental markets. METC`s R&D programs are focused on commercialization of technologies that will be carried out in the private sector. META has solicited two PRDAs for EM. The first, in the area of groundwater and soil technologies, resulted in twenty-one contact awards to private sector and university technology developers. The second PRDA solicited novel decontamination and decommissioning technologies and resulted in eighteen contract awards. In addition to the PRDAs, METC solicited the first EM ROA in 1993. The ROA solicited research in a broad range of EM-related topics including in situ remediation, characterization, sensors, and monitoring technologies, efficient separation technologies, mixed waste treatment technologies, and robotics. This document describes these technology development activities.

Not Available

1994-06-01T23:59:59.000Z

425

11.5 MATLAB Laboratory Experiment on Circuits Consider the electrical circuit presented in Figure 11.18. Assume that all resistors in the  

E-Print Network (OSTI)

11.5 MATLAB Laboratory Experiment on Circuits Consider the electrical circuit presented in Figure analysis, form the matrices j and k and the vector of initial conditions. Use MATLAB to find the currents via MATLAB, using the electrical circuit given in Figure 11.19 and the corresponding formulas

Gajic, Zoran

426

Colored figures Franke & Gaser (2012): Longitudinal changes in individual BrainAGE in healthy aging, mild cognitive impairment, and Alzheimer's disease  

E-Print Network (OSTI)

Colored figures Franke & Gaser (2012): Longitudinal changes in individual BrainAGE in healthy aging, mild cognitive impairment, and Alzheimer's disease Figure 1: Depiction of the BrainAGE concept. A: The model of healthy brain aging is trained with the chronological age and preprocessed structural MRI data

Gaser, Christian

427

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset  

E-Print Network (OSTI)

Figure 1. The dataset for the running example is excerpted at left, arranged in the typical manner for MVPA. The boxes at right introduce the dataset representation used in later figures. In these boxes the "dataset-wise" scheme, the examples are relabeled prior to conducting the cross- validation, while

428

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

429

Chevron, GE form Technology Alliance  

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

Chevron, GE form Technology Alliance Chevron, GE form Technology Alliance The Chevron GE Technology Alliance will develop and commercialize valuable technologies to solve critical...

430

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

431

Figure of merit for dark energy constraints from current observational data  

SciTech Connect

In order to make useful comparisons of different dark energy experiments, it is important to choose the appropriate figure of merit (FoM) for dark energy constraints. Here we show that for a set of dark energy parameters (f{sub i}), it is most intuitive to define FoM=1/{radical}(detCov(f{sub 1},f{sub 2},f{sub 3},...)), where Cov(f{sub 1},f{sub 2},f{sub 3},...) is the covariance matrix of (f{sub i}). In order for this FoM to represent the dark energy constraints in an optimal manner, the dark energy parameters (f{sub i}) should have clear physical meaning and be minimally correlated. We demonstrate two useful choices of (f{sub i}) using 182 SNe Ia (from the HST/GOODS program, the first year Supernova Legacy Survey, and nearby SN Ia surveys), [R(z{sub *}),l{sub a}(z{sub *}),{omega}{sub b}h{sup 2}] from the five year Wilkinson Microwave Anisotropy Probe observations, and Sloan Digital Sky Survey measurement of the baryon acoustic oscillation scale, assuming the Hubble Space Telescope prior of H{sub 0}=72{+-}8 (km/s) Mpc{sup -1}, and without assuming spatial flatness. We find that for a dark energy equation of state linear in the cosmic scale factor a, the correlation of (w{sub 0},w{sub 0.5}) [w{sub 0}=w{sub X}(z=0), w{sub 0.5}=w{sub X}(z=0.5), with w{sub X}(a)=3w{sub 0.5}-2w{sub 0}+3(w{sub 0}-w{sub 0.5})a] is significantly smaller than that of (w{sub 0},w{sub a}) [with w{sub X}(a)=w{sub 0}+(1-a)w{sub a}]. In order to obtain model-independent constraints on dark energy, we parametrize the dark energy density function X(z)={rho}{sub X}(z)/{rho}{sub X}(0) as a free function with X{sub 0.5}, X{sub 1.0}, and X{sub 1.5} [values of X(z) at z=0.5, 1.0, and 1.5] as free parameters estimated from data. If one assumes a linear dark energy equation of state, current observational data are consistent with a cosmological constant at 68% C.L. If one assumes X(z) to be a free function parametrized by (X{sub 0.5},X{sub 1.0},X{sub 1.5}), current data deviate from a cosmological constant at z=1 at 68% C.L., but are consistent with a cosmological constant at 95% C.L. Future dark energy experiments will allow us to dramatically increase the FoM of constraints on (w{sub 0},w{sub 0.5}), and of (X{sub 0.5},X{sub 1.0},X{sub 1.5}). This will significantly shrink the dark energy parameter space to either enable the discovery of dark energy evolution, or the conclusive evidence for a cosmological constant.

Wang Yun [Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, 440 West Brooks Street, Norman, OK 73019 (United States)

2008-06-15T23:59:59.000Z

432

Figure of merit for dark energy constraints from current observational data  

Science Journals Connector (OSTI)

In order to make useful comparisons of different dark energy experiments, it is important to choose the appropriate figure of merit (FoM) for dark energy constraints. Here we show that for a set of dark energy parameters {fi}, it is most intuitive to define FoM=1/det?Cov(f1,f2,f3,…), where Cov(f1,f2,f3,…) is the covariance matrix of {fi}. In order for this FoM to represent the dark energy constraints in an optimal manner, the dark energy parameters {fi} should have clear physical meaning and be minimally correlated. We demonstrate two useful choices of {fi} using 182 SNe Ia (from the HST/GOODS program, the first year Supernova Legacy Survey, and nearby SN Ia surveys), [R(z*),la(z*),?bh2] from the five year Wilkinson Microwave Anisotropy Probe observations, and Sloan Digital Sky Survey measurement of the baryon acoustic oscillation scale, assuming the Hubble Space Telescope prior of H0=72±8??(km/s)?Mpc-1, and without assuming spatial flatness. We find that for a dark energy equation of state linear in the cosmic scale factor a, the correlation of (w0,w0.5) [w0=wX(z=0), w0.5=wX(z=0.5), with wX(a)=3w0.5-2w0+3(w0-w0.5)a] is significantly smaller than that of (w0,wa) [with wX(a)=w0+(1-a)wa]. In order to obtain model-independent constraints on dark energy, we parametrize the dark energy density function X(z)=?X(z)/?X(0) as a free function with X0.5, X1.0, and X1.5 [values of X(z) at z=0.5, 1.0, and 1.5] as free parameters estimated from data. If one assumes a linear dark energy equation of state, current observational data are consistent with a cosmological constant at 68% C.L. If one assumes X(z) to be a free function parametrized by (X0.5,X1.0,X1.5), current data deviate from a cosmological constant at z=1 at 68% C.L., but are consistent with a cosmological constant at 95% C.L. Future dark energy experiments will allow us to dramatically increase the FoM of constraints on (w0,w0.5), and of (X0.5,X1.0,X1.5). This will significantly shrink the dark energy parameter space to either enable the discovery of dark energy evolution, or the conclusive evidence for a cosmological constant.

Yun Wang

2008-06-18T23:59:59.000Z

433

Additive Manufacturing Technologies  

Science Journals Connector (OSTI)

Rapid Prototyping is the construction of complex three-dimensional parts using additive manufacturing technology.

Jürgen Stampfl; Markus Hatzenbichler

2014-01-01T23:59:59.000Z

434

Calculus For Technology II  

E-Print Network (OSTI)

MA 22200, Spring 2012. Calculus For Technology II ... Other Information. Emergency procedures · Exam info (A Hoffman) ...

435

Tracers and Exploration Technologies  

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

Below are the project presentations and respective peer review results for Tracers and Exploration Technologies.

436

The Technology & Innovation Centre  

E-Print Network (OSTI)

The Technology & Innovation Centre #12;The Technology and Innovation Centre revolutionises the way in Scotland and further afield ­ including power and energy, renewable technologies, photonics and sensors, for industry, the Technology and Innovation Centre has already attracted major partners including Scottish

Mottram, Nigel

437

UNIVERSITY of STRATHCLYDE TECHNOLOGY &  

E-Print Network (OSTI)

UNIVERSITY of STRATHCLYDE TECHNOLOGY & INNOVATION CENTRE #12;#12;#12;The Technology and Innovation HEALTH TECHNOLOGIES ADVANCED MANUFACTURING #12;Inspiring research and innovation with industry-by-side on innovative technology programmes aimed at addressing major challenges in: Low Carbon Power and Energy

Mottram, Nigel

438

General com Technology community  

E-Print Network (OSTI)

Campus IT General com m unity Technology community ITsystem owners Campus Council for Information Technology (CCFIT) · ~30 members · Advisory evaluation and review role · Input from faculty, staff, students formal representation on steering team and subcommittees Technology Support Program · Technology support

Ferrara, Katherine W.

439

Predictive Maintenance Technologies  

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

Several diagnostic technologies and best practices are available to assist Federal agencies with predictive maintenance programs.

440

Technology Transfer: About the Technology Transfer Department  

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

About the Technology Transfer and Intellectual Property Management About the Technology Transfer and Intellectual Property Management Department The Technology Transfer Department helps move technologies from the Lab to the marketplace to benefit society and the U. S. economy. We accomplish this through developing and managing an array of partnerships with the private and public sectors. What We Do We license a wide range of cutting-edge technologies to companies that have the financial, R & D, manufacturing, marketing, and managerial capabilities to successfully commercialize Lab inventions. In addition, we manage lab-industry research partnerships, ensure that inventions receive appropriate patent or copyright protection, license technology to start-up companies, distribute royalties to the Lab and to inventors and serve as

Note: This page contains sample records for the topic "technology assumptions figure" 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

NREL: Technology Transfer - About Technology Transfer  

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

About Technology Transfer About Technology Transfer Through technology partnerships, NREL seeks to reduce private sector risk and enable investment in the adoption of renewable energy and energy efficiency technologies. The transfer of these technologies to the marketplace helps displace oil, reduce carbon emissions, and increase U.S. industry competitiveness. Principles NREL develops and implements technology partnerships based on the standards established by the following principles: Balancing Public and Private Interest Form partnerships that serve the public interest and advance U.S. Department of Energy goals. Demonstrate appropriate stewardship of publicly funded assets, yielding national benefits. Provide value to the commercial partner. Focusing on Outcomes Develop mutually beneficial collaborations through processes, which are

442

Building Technologies Office: Webinars  

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

Webinars Webinars Printable Version Share this resource Send a link to Building Technologies Office: Webinars to someone by E-mail Share Building Technologies Office: Webinars on Facebook Tweet about Building Technologies Office: Webinars on Twitter Bookmark Building Technologies Office: Webinars on Google Bookmark Building Technologies Office: Webinars on Delicious Rank Building Technologies Office: Webinars on Digg Find More places to share Building Technologies Office: Webinars on AddThis.com... Popular Links Success Stories Previous Next Lighten Energy Loads with System Design. Warming Up to Pump Heat. Cut Refrigerator Energy Use to Save Money. Tools EnergyPlus Whole Building Simulation Program Building Energy Software Tools Directory High Performance Buildings Database

443

Building Technologies Office: Resources  

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

Resources to someone by Resources to someone by E-mail Share Building Technologies Office: Resources on Facebook Tweet about Building Technologies Office: Resources on Twitter Bookmark Building Technologies Office: Resources on Google Bookmark Building Technologies Office: Resources on Delicious Rank Building Technologies Office: Resources on Digg Find More places to share Building Technologies Office: Resources on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Solar Decathlon Building America Home Energy Score Home Performance with ENERGY STAR Better Buildings Neighborhood Program Challenge Home Partner Log In Become a Partner Criteria Partner Locator Resources Housing Innovation Awards Events Guidelines for Home Energy Professionals Technology Research, Standards, & Codes

444

Soil washing technology evaluation  

SciTech Connect

Environmental Restoration Engineering (ERE) continues to review innovative, efficient, and cost effective technologies for SRS soil and/or groundwater remediation. As part of this effort, this technical evaluation provides review and the latest information on the technology for SRS soil remediation. Additional technology evaluation reports will be issued periodically to update these reports. The purpose of this report is to review the soil washing technology and its potential application to SRS soil remediation. To assess whether the Soil Washing technology is a viable option for SRS soil remediation, it is necessary to review the technology/process, technology advantages/limitations, performance, applications, and cost analysis.

Suer, A.

1995-04-01T23:59:59.000Z

445

Environmental Assessment for the Oak Ridge Science and Technology Project at the Oak Ridge National Laboratory, Oak Ridge, Tennessee  

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

81(E)/020508 81(E)/020508 DOE/EA-1575 Environmental Assessment for the Oak Ridge Science and Technology Project at the Oak Ridge National Laboratory, Oak Ridge, Tennessee February 2008 U. S. Department of Energy Oak Ridge Office 06-281(E)/020508 iii CONTENTS FIGURES.....................................................................................................................................................iv TABLES ......................................................................................................................................................iv ACRONYMS................................................................................................................................................ v 1. INTRODUCTION

446

Pretreatment Technology Plan  

SciTech Connect

This technology plan presents a strategy for the identification, evaluation, and development of technologies for the pretreatment of radioactive wastes stored in underground storage tanks at the Hanford Site. This strategy includes deployment of facilities and process development schedules to support the other program elements. This document also presents schedule information for alternative pretreatment systems: (1) the reference pretreatment technology development system, (2) an enhanced pretreatment technology development system, and (3) alternative pretreatment technology development systems.

Barker, S.A. [Westinghouse Hanford Co., Richland, WA (US); Thornhill, C.K.; Holton, L.K. Jr. [Pacific Northwest Lab., Richland, WA (US)

1993-03-01T23:59:59.000Z

447

NATIONAL ENERGY TECHNOLOGY LABORATORY Technology Transfer Novel...  

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

Alloy for the Manufacture of Improved Coronary Stents Success Story NETL Technology Transfer Group techtransfer@netl.doe.gov Contact Partners A coronary stent is a small,...

448

NATIONAL ENERGY TECHNOLOGY LABORATORY Technology Transfer Basic...  

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

Basic Immobilized Amine Sorbent (BIAS) Process Success Story NETL Technology Transfer Group techtransfer@netl.doe.gov Contact Capturing carbon dioxide (CO 2 ) from the flue or...

449

5 - Introduction to Coal Utilization Technologies  

Science Journals Connector (OSTI)

Publisher Summary The primary applications for coal use became electricity generation and the production of iron and steel. Coal has varied uses in the industrial sector for producing steam and electricity and also some chemicals are produced from coal. This chapter introduces the technologies and explains the processes for generating power, heat, coke, and chemicals including carbonization, combustion, liquefaction and gasification. These are referred to as “grand processes” in coal utilization and are explained in detail under separate sections. A brief history on the history of the processes and designs are provided with figures. The modern designs and processes are explained further with diagrams and the different boiler types and their relevance in technologies are available. The chemical processes involved in coal combustion, the involved and characteristics are summarized in table. Emphasis is also made on coal combustion and sets the stage for further reading on clean coal technologies in later portion of the book. Several direct liquefaction processes are introduced in this chapter. Although these are important, however, there are other processes conceived and researched.

Bruce G. Miller

2011-01-01T23:59:59.000Z

450

Comparing Efficiency Projections (released in AEO2010)  

Reports and Publications (EIA)

Realized improvements in energy efficiency generally rely on a combination of technology and economics. The figure below illustrates the role of technology assumptions in the Annual Energy Outlook 2010 projections for energy efficiency in the residential and commercial buildings sector. Projected energy consumption in the Reference case is compared with projections in the Best Available Technology, High Technology, and 2009 Technology cases and an estimate based on an assumption of no change in efficiency for building shells and equipment.

2010-01-01T23:59:59.000Z

451

Marine and Hydrokinetic Technology Glossary  

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

Learn about the basic technologies and key terms used to describe marine and hydrokinetic technologies.

452

Vehicle Technologies Office: News  

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

News News Site Map Printable Version Share this resource Send a link to Vehicle Technologies Office: News to someone by E-mail Share Vehicle Technologies Office: News on Facebook Tweet about Vehicle Technologies Office: News on Twitter Bookmark Vehicle Technologies Office: News on Google Bookmark Vehicle Technologies Office: News on Delicious Rank Vehicle Technologies Office: News on Digg Find More places to share Vehicle Technologies Office: News on AddThis.com... Vehicle Technologies News Blog Newsletters Information for Media Subscribe to News Updates News December 18, 2013 USDA Offers $118 Million for Renewable Energy, Smart Grid Projects The U.S. Department of Agriculture (USDA) announced $73 million in funding for renewable energy projects and $45 million for smart grid technology as

453

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

454

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

455

NREL: Technology Transfer - Agreements for Commercializing Technology  

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

Agreements for Commercializing Technology Agreements for Commercializing Technology NREL uses Agreements for Commercializing Technology (ACT) when a partner seeks highly-specialized or technical services to complete a project. An ACT agreement also authorizes participating contractor-operated DOE laboratories, such as NREL, to partner with businesses using more flexible terms that are aligned with industry practice. The agreement type used depends on the business, and the specific partnership selected is determined on a case-by-case basis. Benefits The benefits of Agreements for Commercializing Technology include: Intellectual Property Rights. ACT provides a more flexible framework for negotiation of intellectual property rights to facilitate moving technology from the laboratory to the marketplace as quickly as possible.

456

Nuclear Science & Technology  

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

Nuclear Science & Technology Nuclear Science & Technology Nuclear Science & Technology1354608000000Nuclear Science & TechnologySome of these resources are LANL-only and will require Remote Access. /No/ Nuclear Science & Technology Some of these resources are LANL-only and will require Remote Access. Key Resources Databases Organizations Journals Key Resources International Atomic Energy Agency IAEA scientific and technical publications cover areas of nuclear power, radiation therapy, nuclear security, nuclear law, and emergency repose. Search under Publications/Books and Reports for scientific books, standards, technical guides and reports National Nuclear Data Center Nuclear physics data for basic nuclear research and for applied nuclear technologies, operated by Brookhaven.

457

Building Technologies Office Overview  

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

Roland Risser Roland Risser Director, Building Technologies Office Building Technologies Office Energy Efficiency Starts Here. 2 Building Technologies Office Integrated Approach: Improving Building Performance Research & Development Developing High Impact Technologies Standards & Codes Locking in the Savings Market Stimulation Accelerating Tech-to- Market 3 Building Technologies Office Goal: Reduce building energy use by 50% (compared to a 2010 baseline) 4 Building Technologies Office Working to Overcome Challenges Information Access * Develop building performance tools, techniques, and success stories, such as case studies * Form market partnerships and programs to share best practices * Solution Centers * Certify the workforce to ensure quality work

458

Vehicle Technologies Office: Ambassadors  

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

Ambassadors to someone Ambassadors to someone by E-mail Share Vehicle Technologies Office: Ambassadors on Facebook Tweet about Vehicle Technologies Office: Ambassadors on Twitter Bookmark Vehicle Technologies Office: Ambassadors on Google Bookmark Vehicle Technologies Office: Ambassadors on Delicious Rank Vehicle Technologies Office: Ambassadors on Digg Find More places to share Vehicle Technologies Office: Ambassadors on AddThis.com... Goals Research & Development Testing and Analysis Workplace Charging Partners Ambassadors Resources Community and Fleet Readiness Workforce Development Plug-in Electric Vehicle Basics Ambassadors Workplace Charging Challenge Clean Cities Coalitions Clean Cities logo. Clean Cities National: A network of nearly 100 Clean Cities coalitions, supported by the

459

National Energy Map for India:Technology Vision 2030 | Open Energy  

Open Energy Info (EERE)

for India:Technology Vision 2030 for India:Technology Vision 2030 Jump to: navigation, search Name National Energy Map for India:Technology Vision 2030 Agency/Company /Organization Government of India, The Energy and Resources Institute (TERI) Sector Energy Focus Area Conventional Energy, Energy Efficiency, Renewable Energy Topics GHG inventory, Resource assessment, Pathways analysis, Background analysis, Technology characterizations Resource Type Guide/manual Website http://psa.gov.in/writereaddat Country India UN Region South-Eastern Asia References National Energy Map for India:Technology Vision 2030[1] National Energy Map for India:Technology Vision 2030 Screenshot Overview "The report discusses the data, assumptions, and methodological framework used to estimate useful energy requirements of the country based on

460

TARGETED TECHNOLOGY TRANSFER TO US INDEPENDENTS  

SciTech Connect

The Petroleum Technology Transfer Council (PTTC) continued pursuing its mission of assisting U.S. independent oil and gas producers with timely, informed technology decisions during Fiscal Year 2004 (FY04). PTTC has active grassroots programs through its 10 Regional Lead Organizations (RLOs) and 2 satellite offices. They bring research and academia to the table via their association with geological surveys and engineering departments. The regional directors interact with independent oil and gas producers through technology workshops, resource centers, websites, newsletters, technical publications and other cooperative outreach efforts. PTTC's Headquarters (HQ) staff receives direction from a National Board of Directors predominantly comprised of American natural gas and oil producers to plan and manage the overall technology transfer program. PTTC HQ implements a comprehensive communications program by interconnecting the talents of the National Board, 10 Regional Producer Advisory Groups (PAG) and the RLOs with industry across the U.S. PTTC effectively combines federal funding through the Department of Energy's (DOE) Office of Fossil Energy, namely the Strategic Center for Natural Gas and Oil with state and industry contributions to share application of upstream technologies. Ultimately, these efforts factor in to provide a safe, secure and reliable energy supply for American consumers. This integrated resource base, combined with industry volunteers guiding PTTC's activities and the dedication of national and regional staff, are achieving notable results regarding domestic production figures. PTTC is increasingly recognized as a critical resource for information and access to technologies by providing direct contact with research, development and demonstration (RD&D) results. A key to the program is demonstrating proven technologies that can be applied broadly and rapidly. This technical progress report summarizes PTTC's accomplishments during FY04. Activities remained at high levels. Board and staff interaction has defined strategic thrusts to further outreach. Networking, involvement in technical activities and an active exhibit schedule are increasing PTTC's sphere of influence with both producers and the service sector. PTTC's reputation for unbiased bottom line information stimulates cooperative ventures with other organizations. Efforts to build the contact database and a growing E-mail Technology Alert service are expanding PTTC's audience.

Donald F. Duttlinger; E. Lance Cole

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "technology assumptions figure" 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

Figures of merit for focusing mega-electron-volt ion beams in biomedical imaging and proton beam writing  

SciTech Connect

A figure of merit (FOM) has been developed for focusing quadrupole multiplet lenses for ion micro- and nanobeam systems. The method which is based on measurement of the central peak of the two-dimensional autocorrelation function of an image provides separate FOM for the horizontal and vertical directions. The approach has been tested by comparison with the edge widths obtained by nonlinear fitting the edge widths of a Ni grid and found to be reliable. The FOM has the important advantage for ion beam imaging of biomedical samples that the fluence needed is considerably lower than for edge fitting.

Ren Minqin; Whitlow, Harry J.; Ananda Sagari, A. R.; Kan, Jeroen A. van; Osipowicz, Thomas; Watt, Frank [Department of Physics, University of Jyvaeskylae, P.O. Box 35 (YFL), FIN-40014 (Finland); Centre for Ion Beam Applications, Department of Physics, National University of Singapore, 2 Science Drive 3, Singapore 117542 (Singapore)

2008-01-01T23:59:59.000Z

462

A Comparative Study on Emerging Electric Vehicle Technology Assessments  

SciTech Connect

Numerous organizations have published reports in recent years that investigate the ever changing world of electric vehicle (EV) technologies and their potential effects on society. Specifically, projections have been made on greenhouse gas (GHG) emissions associated with these vehicles and how they compare to conventional vehicles or hybrid electric vehicles (HEVs). Similar projections have been made on the volumes of oil that these vehicles can displace by consuming large amounts of grid electricity instead of petroleum-based fuels. Finally, the projected rate that these new vehicle fleets will enter the market varies significantly among organizations. New ideas, technologies, and possibilities are introduced often, and projected values are likely to be refined as industry announcements continue to be made. As a result, over time, a multitude of projections for GHG emissions, oil displacement, and market penetration associated with various EV technologies has resulted in a wide range of possible future outcomes. This leaves the reader with two key questions: (1) Why does such a collective range in projected values exist in these reports? (2) What assumptions have the greatest impact on the outcomes presented in these reports? Since it is impractical for an average reader to review and interpret all the various vehicle technology reports published to date, Sentech Inc. and the Oak Ridge National Laboratory have conducted a comparative study to make these interpretations. The primary objective of this comparative study is to present a snapshot of all major projections made on GHG emissions, oil displacement, or market penetration rates of EV technologies. From the extensive data found in relevant publications, the key assumptions that drive each report's analysis are identified and 'apples-to-apples' comparisons between all major report conclusions are attempted. The general approach that was taken in this comparative study is comprised of six primary steps: (1) Search Relevant Literature - An extensive search of recent analyses that address the environmental impacts, market penetration rates, and oil displacement potential of various EV technologies was conducted; (2) Consolidate Studies - Upon completion of the literature search, a list of analyses that have sufficient data for comparison and that should be included in the study was compiled; (3) Identify Key Assumptions - Disparity in conclusions very likely originates from disparity in simple assumptions. In order to compare 'apples-to-apples,' key assumptions were identified in each study to provide the basis for comparing analyses; (4) Extract Information - Each selected report was reviewed, and information on key assumptions and data points was extracted; (5) Overlay Data Points - Visual representations of the comprehensive conclusions were prepared to identify general trends and outliers; and (6) Draw Final Conclusions - Once all comparisons are made to the greatest possible extent, the final conclusions were draw on what major factors lead to the variation in results among studies.

Ford, Jonathan [Sentech, Inc.; Khowailed, Gannate [Sentech, Inc.; Blackburn, Julia [Sentech, Inc.; Sikes, Karen [Sentech, Inc.

2011-03-01T23:59:59.000Z

463

Training & Technology Solutions Queens College ~ Office of Converging Technologies ~ Training & Technology Solutions  

E-Print Network (OSTI)

Training & Technology Solutions Queens College ~ Office of Converging Technologies ~ Training & Technology Solutions 718-997-4875 ~ training@qc.cuny.edu ~ I-Bldg 214 Advisor Center Navigation: Login #12;Training & Technology Solutions Queens College ~ Office of Converging Technologies ~ Training

Johnson Jr.,, Ray

464

Technologies | Department of Energy  

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

Technologies Technologies Technologies November 1, 2013 - 11:40am Addthis Distributed energy (DE) technologies consist primarily of energy generation and storage systems placed at or near the point of use. DE provides consumers with greater reliability, adequate power quality, and the possibility to participate in competitive electric power markets. DE also has the potential to mitigate congestion in transmission lines, control price fluctuations, strengthen energy security, and provide greater stability to the electricity grid. The use of DE technologies can lead to lower emissions and, particularly in combined heat and power (CHP) applications, to improved efficiency. Example of a thermally activated energy conversion technology (TAT) -- a type of distributed energy technology. Distributed energy technologies consist primarily of energy generation and storage systems placed at or near the point of use. This gas engine-driven heat pump is operating on a rooftop.

465

Vehicle Technologies Office: Lubricants  

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

Lubricants to someone by Lubricants to someone by E-mail Share Vehicle Technologies Office: Lubricants on Facebook Tweet about Vehicle Technologies Office: Lubricants on Twitter Bookmark Vehicle Technologies Office: Lubricants on Google Bookmark Vehicle Technologies Office: Lubricants on Delicious Rank Vehicle Technologies Office: Lubricants on Digg Find More places to share Vehicle Technologies Office: Lubricants on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Advanced Power Electronics & Electrical Machines Advanced Combustion Engines Fuels & Lubricants Fuel Effects on Combustion Lubricants Natural Gas Research Biofuels End-Use Research Materials Technologies Lubricants As most vehicles are on the road for more than 15 years before they are retired, investigating technologies that will improve today's vehicles is

466

Diversity and Technological Progress  

E-Print Network (OSTI)

This paper proposes a tractable model to study the equilibrium diversity of technological progress and shows that equilibrium technological progress may exhibit too little diversity (too much conformity), in particular ...

Acemoglu, Daron

2011-12-15T23:59:59.000Z

467

Technology Readiness Assessment Guide  

Directives, Delegations, and Requirements

The Guide assists individuals and teams involved in conducting Technology Readiness Assessments (TRAs) and developing Technology Maturation Plans (TMPs) for the DOE capital asset projects subject to DOE O 413.3B. Cancels DOE G 413.3-4.

2011-09-15T23:59:59.000Z

468

Review: Web Server Technology  

Science Journals Connector (OSTI)

......The introduction to this section discusses artificial intelligent and object technology. Two applications, both from the Boeing Defense and Space Group, were large complex developments which combined object technology and artificial intelligence. The......

Jon Crowcroft

1997-02-01T23:59:59.000Z

469

Supplemental Figures and Tables for Groundfish EFH Review Phase 1 Report "Federal and State Marine Protected Areas Type of Fishing Restriction"  

E-Print Network (OSTI)

"Federal and State Marine Protected Areas ­ Type of Fishing Restriction" Author and state MPAs depicted in map figures, categorized by level of fishing restriction Fishing Restriction BEFORE AFTER Commercial and Recreational Fishing Prohibited

Goldfinger, Chris

470

Technology Performance Exchange  

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

Technology Performance Exchange Technology Performance Exchange TDM - Jason Koman (BTO) TDM - Dave Catarious (FEMP) William Livingood National Renewable Energy Laboratory William.Livingood@nrel.gov 303-384-7490 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem: Perceived fiscal risk associated with the installation of unfamiliar technologies impedes adoption rates for cost-effective, energy-saving products. Impact of Project: Enable end users to quickly and

471

Safeguards over sensitive technology  

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

Safeguards Over Sensitive Technology Safeguards Over Sensitive Technology DOE/IG-0635 January 2004 Program Results and Cost Details of Finding ....................................................................... 1 Recommendations and Comments ........................................... 6 Appendices Prior Reports .............................................................................. 9 Objective, Scope, and Methodology ........................................ 11 Management Comments .......................................................... 12 SAFEGUARDS OVER SENSITIVE TECHNOLOGY TABLE OF CONTENTS Page 1 Background Aspects of sensitive technology protection, along with related impacts on national security, have been addressed in various formats by the Department of Energy and several other Federal agencies. For example:

472

Long Term Innovative Technologies  

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

Presentation by Bryan Pivovar on DOE's Hydrogen and Fuel Cell Technologies, Fuel Cell Presolicitation Workshop - Lakewood, CO March 16, 2010

473

Consumer Vehicle Technology Data  

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

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

474

Geothermal drilling technology update  

SciTech Connect

Sandia National Laboratories conducts a comprehensive geothermal drilling research program for the US Department of Energy, Office of Geothermal Technologies. The program currently includes seven areas: lost circulation technology, hard-rock drill bit technology, high-temperature instrumentation, wireless data telemetry, slimhole drilling technology, Geothermal Drilling Organization (GDO) projects, and drilling systems studies. This paper describes the current status of the projects under way in each of these program areas.

Glowka, D.A.

1997-04-01T23:59:59.000Z

475

Membrane Technology Workshop  

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

Presentation by Charles Page (Air Products & Chemicals, Inc.) for the Membrane Technology Workshop held July 24, 2012

476

Technology and Terrorism  

Science Journals Connector (OSTI)

Technology and Terrorism ... The linkage of chemistry and terrorism is an uncomfortable bond for members of the chemical profession. ...

MADELEINE JACOBS

1995-07-24T23:59:59.000Z

477

Deployment of Emerging Technologies  

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

Presentation covers the FUPWG Deployment of Emerging Technologies. Presented by Brad Gustafson, Department of Energy, held on November 1, 2006.

478

Carbon Fiber Technology Facility  

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

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

479

States & Emerging Energy Technologies  

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

This presentation, given through the DOE's Technical Assitance Program (TAP), provides information on States & Emerging Energy Technologies.

480

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

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Note: This page contains sample records for the topic "technology assumptions figure" from the National Library of EnergyBeta (NLEBeta).
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481

Energy Technology Engineering Center  

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

Technology Engineering Center Technology Engineering Center 41 00 Guardian Street, Suite # 160 Simi Valley, CA 93063 Memorandum for: Gregory H. Woods General Council January 30, 2013 FROM: John Jones EL\= Federal Projeďż˝ irector Energy Technology Engineering Center (ETEC) Project Office SUBJECT: Annual National Environmental Policy Act {NEPA) Planning Summary Attached is the 2013 Annual NEPA Planning Summary for the ETEC Project Office.

482

Argonne superconductor technology licensed  

Science Journals Connector (OSTI)

Argonne superconductor technology licensed ... American Superconductor Corp. of Cambridge, Mass., has obtained the exclusive rights to develop and market high-temperature superconductor technology developed at the Department of Energy's Argonne National Laboratory. ... The Argonne technology produces superconducting ceramic coatings by oxidizing an appropriate metallic precursor. ...

RON DAGANI

1988-10-17T23:59:59.000Z

483

Federal Laboratory Technology Transfer  

E-Print Network (OSTI)

Federal Laboratory Technology Transfer Fiscal Year 2007 Prepared by: National Institute to present to the President and the Congress this Federal Laboratory Technology Transfer Report summarizing the achievements of Federal technology transfer and partnering programs of the Federal research and development

Perkins, Richard A.

484

Federal Laboratory Technology Transfer  

E-Print Network (OSTI)

Federal Laboratory Technology Transfer Fiscal Year 2009 Prepared by: National Institute to submit this fiscal year 2009 Technology Transfer Summary Report to the President and the Congress in accordance with 15 USC Sec 3710(g)(2) for an annual summary on the implementation of technology transfer

Perkins, Richard A.

485

Federal Laboratory Technology Transfer  

E-Print Network (OSTI)

Federal Laboratory Technology Transfer Fiscal Year 2008 Prepared by: National Institute to submit this fiscal year 2008 Technology Transfer Summary Report to the President and the Congress transfer authorities established by the Technology Transfer Commercialization Act of 2000 (P.L. 106

Perkins, Richard A.

486

Science, Technology and Civilization  

Science Journals Connector (OSTI)

... THE rise of science and technology is a unique element of our civilization. In earlier times, technology played ... element of our civilization. In earlier times, technology played a relatively small part, and science almost none; and it is worth briefly looking at the two ancient civilizations, those ...

R. V. JONES

1962-06-30T23:59:59.000Z

487

Science &Technology Facilities Council  

E-Print Network (OSTI)

and Science & Technology Facilities Council invite you to The ESA Technology Transfer Network SpaceTech2012Science &Technology Facilities Council Innovations Issue 31 October 2012 This issue: 1 STFC International prize for `no needles' breast cancer diagnosis technique 6 CEOI Challenge Workshop ­ Current

488

Department of Energy Technology  

E-Print Network (OSTI)

Reservoir Models 42 #12;Page 2.21. Energy Storage 43 2.22. Focusing Solar Collector 43 2.23. Digitizing technology towa^ls energy technology problems in general, at Risø and in the Depart- ment, was made manifestRisa-R-482 Department of Energy Technology Annual Progress Report 1 January - 31 December 1982 Ris

489

Review: LAN Technologies Explained  

Science Journals Connector (OSTI)

...Book Review Review: LAN Technologies Explained Reviewed by Peter...Glamorgan University LAN Technologies Explained Philip Miller and...data to HTML, building an intranet, creating a single and multi-source...Networks Star rating ??? LAN Technologies Explained Philip Miller and......

Peter Hodson

2001-01-01T23:59:59.000Z

490

SPACE TECHNOLOGY Actual Estimate  

E-Print Network (OSTI)

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

491

Department of Science, Technology, &  

E-Print Network (OSTI)

Developing Leaders of Innovation Department of Science, Technology, & Society #12;Understanding the relationship between technology and society is crucial to becoming a successful leader in any field. #12;Our Students The University of Virginia Department of Science, Technology, and Society offers a comprehensive

Acton, Scott

492

New Technology Demonstration Program  

E-Print Network (OSTI)

New Technology Demonstration Program Technical Brief FEMPFederal Energy Management Program Tom for saving energy in refrigerated walk-in coolers, and to evaluate the potential for this technology in Federal facilities. The focus of this study was on a single manufacturer of the technology, Nevada Energy

493

Technology Forecasting Scenario Development  

E-Print Network (OSTI)

Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

494

Building Technologies Office: Subscribe to Building Technologies Office  

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

Webinars Webinars Printable Version Share this resource Send a link to Building Technologies Office: Subscribe to Building Technologies Office Events and Webinars Updates to someone by E-mail Share Building Technologies Office: Subscribe to Building Technologies Office Events and Webinars Updates on Facebook Tweet about Building Technologies Office: Subscribe to Building Technologies Office Events and Webinars Updates on Twitter Bookmark Building Technologies Office: Subscribe to Building Technologies Office Events and Webinars Updates on Google Bookmark Building Technologies Office: Subscribe to Building Technologies Office Events and Webinars Updates on Delicious Rank Building Technologies Office: Subscribe to Building Technologies Office Events and Webinars Updates on Digg

495

Vehicle Technologies Office Merit Review 2014: Technology and...  

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

Technology and System Level Demonstration of Highly Efficient and Clean, Diesel Powered Class 8 Trucks Vehicle Technologies Office Merit Review 2014: Technology and System Level...

496

EM Engineering & Technology Roadmap and Major Technology Demonstration...  

Office of Environmental Management (EM)

Steven L. Krahn Director, Waste Processing Office of Engineering and Technology April 2008 EM Engineering & Technology Roadmap and Major Technology Demonstrations Introduction ...

497

Technology Readiness Assessment (TRA)/Technology Maturation Plan...  

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

(TRA)Technology Maturation Plan (TMP) Process Guide Technology Readiness Assessment (TRA)Technology Maturation Plan (TMP) Process Guide This document is a guide for those...

498

Windenergy — technology and present status  

Science Journals Connector (OSTI)

Today there are various types of wind energy converters in operation, (Figure 1 gives an overview). The most common device is the horizontal axis wind energy converter. This converter consists of only a few ae...

Hermann-Josef Wagner

2001-01-01T23:59:59.000Z

499

Technology, legal knowledge and citizenship   

E-Print Network (OSTI)

through adjustment. Science, Technology and Human Values 31(3 Technology, legal knowledge and citizenship On the care ofhelp of these adaptive technologies, Jose had become able to

Dominguez Rubio, Fernando; Lezaun, Javier

2014-01-01T23:59:59.000Z

500

2012 Wind Technologies Market Report  

E-Print Network (OSTI)

Colorado: Xcel Energy. 2012 Wind Technologies Market ReportOperator. 2012 Wind Technologies Market Report Chadbourne &Power Company. 2012 Wind Technologies Market Report EnerNex

Wiser, Ryan

2014-01-01T23:59:59.000Z