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1

reference case | OpenEI  

Open Energy Info (EERE)

reference case reference case Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 1, and contains only the reference case. The dataset uses quadrillion BTUs, and quantifies the energy prices using U.S. dollars. The data is broken down into total production, imports, exports, consumption, and prices for energy types. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO consumption EIA export import production reference case total energy Data application/vnd.ms-excel icon AEO2011: Total Energy Supply, Disposition, and Price Summary - Reference Case (xls, 112.8 KiB) Quality Metrics Level of Review Peer Reviewed

2

Annual Energy Outlook 2011 Reference Case  

U.S. Energy Information Administration (EIA)

Title: Annual Energy Outlook 2011 Reference Case Author: USCX Last modified by: CH4 Created Date: 4/11/2011 8:46:50 PM Document presentation format

3

EIA - Appendix A - Reference Case Projection Tables  

Gasoline and Diesel Fuel Update (EIA)

Tables (2005-2035) Tables (2005-2035) International Energy Outlook 2010 Reference Case Projections Tables (2005-2035) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. Appendix A. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region Table A1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel Table A2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

4

Annual Energy Outlook 2011 Reference Case  

Gasoline and Diesel Fuel Update (EIA)

AEO2012 Early Release Rollout Presentation AEO2012 Early Release Rollout Presentation Paul H. Nitze School of Advanced International Studies John Hopkins University January 23, 2012 | Washington, DC Howard Gruenspecht, Acting Administrator Annual Energy Outlook 2012 Early Release Reference Case Key results from the AEO2012 Reference case, which assumes current laws remain unchanged 2 Howard Gruenspecht AEO2012, January 23, 2012 * Projected growth of energy use slows over the projection period reflecting an extended economic recovery and increasing energy efficiency in end-use applications * Domestic crude oil production increases, reaching levels not experienced since 1994 by 2020 * With modest economic growth, increased efficiency, growing domestic production, and continued adoption of nonpetroleum liquids, net

5

Annual Energy Outlook 2011 Reference Case  

U.S. Energy Information Administration (EIA)

– updated offshore data and assumptions, pushing out start dates for several projects as a ... Natural gas, wind and other renewables account for the vast

6

Annual Energy Outlook 2011 Reference Case  

Gasoline and Diesel Fuel Update (EIA)

Center for Strategic and International Studies Center for Strategic and International Studies Howard Gruenspecht, Acting Administrator September 19, 2011 | Washington, DC International Energy Outlook 2011 Key findings in the IEO2011 Reference case 2 Howard Gruenspecht CSIS, September 19, 2011 * World energy consumption increases by 53% between 2008 and 2035 with half of the increase attributed to China and India * Renewables are the world's fastest-growing energy source, at 2.8% per year; renewables share of world energy grows to roughly 15% in 2035 * Fossil fuels continue to supply almost 80% of world energy use in 2035 * Liquid fuels remain the largest energy source worldwide through 2035, but the oil share of total energy declines to 28% in 2035, as sustained high oil prices dampen demand and encourage fuel

7

EIA - Reference Case Projection Tables 1990-2030  

Gasoline and Diesel Fuel Update (EIA)

Tables (1990-2030) Tables (1990-2030) International Energy Outlook 2006 Reference Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region, Reference Case Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel, Reference Case Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800.

8

EIA - International Energy Outlook 2007-Reference Case Projections...  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections by End-Use Sector and Region Data Tables (2004-2030) International Energy Outlook 2007 Reference Case Projections by End-Use Sector and Region Data...

9

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

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EIA - Reference Case Projections for Electricity Capacity and...  

Gasoline and Diesel Fuel Update (EIA)

for Electricity Capacity and Generation by Fuel (2003-2030) International Energy Outlook 2006 Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables...

11

EIA - International Energy Outlook 2007-Reference Case Projection Tables  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections Tables (1990-2030) Reference Case Projections Tables (1990-2030) International Energy Outlook 2007 Reference Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region Table A1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel Table A2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

12

EIA - International Energy Outlook 2007 - Reference Case Projections for  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2004-2030) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2004-2030) International Energy Outlook 2007 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2004-2030) Formats Data Table Titles (1 to 12 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

13

EIA - Appendix H - Reference Case Projections for Electricity Capacity and  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2005-2030) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2005-2030) International Energy Outlook 2008 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2005-2030) Formats Data Table Titles (1 to 12 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections for Electricity Capacity and Generation by Fuel Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

14

EIA - Appendix A - Reference Case Projection Tables 1990-2030  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections Tables (1990-2030) Reference Case Projections Tables (1990-2030) International Energy Outlook 2008 Reference Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region Table A1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel Table A2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

15

Annual Energy Outlook 2013 Early Release Reference Case  

Gasoline and Diesel Fuel Update (EIA)

Early Release Reference Case Early Release Reference Case AEO2013 Early Release Rollout Presentation Paul H. Nitze School of Advanced International Studies Johns Hopkins University December 5, 2012 | Washington, D.C. by Adam Sieminski, Administrator Key results from the AEO2013 Reference case: 2 * Growth in energy production outstrips consumption growth * Crude oil production, particularly from tight oil plays, rises sharply over the next decade * Natural gas production is higher throughout the Reference case projection than it was in AEO2012, serving the industrial and power sectors and an expanding export market * Motor gasoline consumption reflects the introduction of more stringent fuel economy standards, while diesel fuel consumption is moderated by increased natural gas use in heavy-duty vehicles

16

EIA - Appendix H - Reference Case Projections for Electricity Capacity and  

Gasoline and Diesel Fuel Update (EIA)

for Electricity Capacity and Generation by Fuel Tables (2006-2030) for Electricity Capacity and Generation by Fuel Tables (2006-2030) International Energy Outlook 2009 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2006-2030) Formats Data Table Titles (1 to 18 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

17

EIA - Appendix A - Reference Case Projection Tables 1990-2030  

Gasoline and Diesel Fuel Update (EIA)

Tables (1990-2030) Tables (1990-2030) International Energy Outlook 2009 Reference Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region Table A1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel Table A2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

18

EIA - Appendix H - Reference Case Projections for Electricity Capacity and  

Gasoline and Diesel Fuel Update (EIA)

for Electricity Capacity and Generation by Fuel Tables (2007-2035) for Electricity Capacity and Generation by Fuel Tables (2007-2035) International Energy Outlook 2010 Reference Case Projections for Electricity Capacity and Generation by Fuel Tables (2007-2035) Formats Data Table Titles (1 to 18 complete) Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Appendix H. Reference Case Projections for Electricity Capacity and Generation by Fuel Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table H1 World Total Installed Generating Capacity by Region and Country Table H1. World Total Installed Generating Capacity by Region and Country. Need help, contact the National Energy Information Center at 202-586-8800.

19

Shale oil production system reference case study. Final report  

DOE Green Energy (OSTI)

Material balances, utility balances, and overall processing schemes were developed for two reference shale oil production systems. For both cases, crushed and sized oil shale is fed into a mix of surface retorts specified for this study, which handle both coarse and fine ore. Case 1A produces an upgraded crude product suitable for refinery feedstock, and Case 1B produces a crude shale oil. The reference system uses room-and-pillar mining, three different types of retorts not unlike those proposed for the White River Shale Project on Federal Lease Tracts U-a and U-b, a straightforward upgrading of the raw shale oil to a refinery feedstock syncrude, and pipeline transportation of that product. In addition to the production of an upgraded product, there is also a modified system for producing raw shale oil that is minimally upgraded for pipeline transportation purposes. The capital cost estimate for the two reference cases has 26 cost elements, excluding, for example, any land or finance costs. A more complete list of excluded cost elements is provided in Section VII. The two distinct cases, production of raw and upgraded shale oil, were included to avoid foreclosing the issue of on- or off-site upgrading. The difference in estimated capital cost ($795M vs. $875M) amounts to about 10 percent.

Not Available

1979-06-01T23:59:59.000Z

20

Annual Energy Outlook 2013 Early Release Reference Case  

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

Annual Energy Outlook 2014 Annual Energy Outlook 2014 Early Release Reference Case AEO2014 Early Release Rollout Presentation Paul J. Nitze School of Advanced International Studies Johns Hopkins University December 16, 2013 | Washington, DC by Adam Sieminski, Administrator Key results from the AEO2014 Reference case 2 * Growing domestic production of natural gas and oil continues to reshape the U.S. energy economy, with crude oil approaching the 1970 all-time high of 9.6 million barrels per day * Light-duty vehicle energy use declines sharply reflecting slowing growth in vehicle miles traveled and accelerated improvement in vehicle efficiency * With continued growth in shale gas production, natural gas becomes the largest source of U.S. electric power generation, surpassing coal by 2035,

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


21

Assumptions to the Annual Energy Outlook 1999 - 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

22

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.

23

References  

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

Analysis Analysis Analysis - Home Analytical Dashboards Computerized Accident Incident Reporting and Recordkeeping System (CAIRS) Corporate Safety Analysis Trends Daily Occurrence Reports Electrical Safety Occurrences Final Occurrence Reports Access System Login Lessons Learned and Best Practices Occurrence Reporting and Processing System (ORPS) Operating Experience Committee Operating Experience Level 1, 2, and 3 Documents Operating Experience Summaries Radiation Exposure Monitoring Systems (REMS) Safety Bulletins Safety and Health Alerts Safety Basis Information System (SBIS) Suspect/Counterfeit Items and Defective Items (SCI/DI) References HSS Logo References DOE O 210.2A, DOE Corporate Operating Experience Program (Apr 08, 2011) DOE O 210.2 Crosswalk DOE O 231.1B, Environment, Safety and Health Reporting (Jun 27, 2011)

24

REFERENCES  

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

205.1B 205.1B Approved 05-16-2011 Page 1 REFERENCES 1. INTRODUCTION 2. . Includes a list of sources cited in the directive and additional information sources to assist in implementing DOE Order 205.1B, Cyber Security Program. FEDERAL LAWS AND REGULATIONS a. Public Law (P.L.) 93-579, Privacy Act of 1974, as amended [Title 5 United States Code (U.S.C.) Section 552a]. . b. P.L. 104-106, Division E, Clinger Cohen Act (CCA) (formerly Information Technology Management Reform Act of 1996. c. P.L. 106-65, "National Defense Authorization Act [Section 3212(d)], enacted October 1999. d. P.L. 107-347, Title III, Federal Information Security Management Act of 2002 (FISMA), enacted December 2002. 3. OFFICE OF MANAGEMENT AND BUDGET (OMB) CIRCULARS. Located at http://www.whitehouse.gov/omb/circulars_default/.

25

EIA-Annual Energy Outlook 2009 -Year-by-Year Reference Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Tables (2006-2030) Reference Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 Year-by-Year Reference Case Tables (2006-2030) Table Title Formats Summary Reference Case Tables PDF GIF Year-by-Year Reference Case Tables Year-by-Year Reference Case Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption

26

EIA - Reference Case Projections by End-Use Sector and Region Tables  

Gasoline and Diesel Fuel Update (EIA)

6 > Reference Case Projections by End-Use Sector and Region Tables (2003-2030) 6 > Reference Case Projections by End-Use Sector and Region Tables (2003-2030) International Energy Outlook 2006 Reference Case Projections by End-Use Sector and Region Tables (2003-2030) Formats Data Table Titles (1 to 19 complete) Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table D1 Total World Delivered Energy Consumption Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Reference Case Projections by End-Use Sector and Region Data Tables. Need help, contact the National Energy Information Center at 202-586-8800.

27

Annual Energy Outlook 2013 Early Release Reference Case  

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

Vehicle Choice Modeling and Vehicle Choice Modeling and Projections for the Annual Energy Outlook John Maples Office of Energy Analysis, Energy Efficiency and End Use January 25, 2013 | Detroit, MI Outline John Maples, Vehicle Choice Models and Markets Detroit, MI, January 25, 2013 2 * Overview of model structure and inputs * Battery electric vehicles and current state of the market * Projections of battery electric vehicles in the Annual Energy Outlook 2013 * High Battery Technology case in the Annual Energy Outlook 2012 Overview of model structure and inputs 3 John Maples, Vehicle Choice Models and Markets Detroit, MI, January 25, 2013 Light duty vehicle technology market penetration John Maples, Vehicle Choice Models and Markets Detroit, MI, January 25, 2013 4 * Technologies affecting light-duty vehicle fuel economy are

28

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

29

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

30

EIA - Appendix F-Reference Case Projections by End-Use Sector and Country  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Projections by End-Use Sector and Country Grouping Data Tables (2005-2030) Reference Case Projections by End-Use Sector and Country Grouping Data Tables (2005-2030) International Energy Outlook 2008 Reference Case Projections by End-Use Sector and Country Grouping Data Tables (2005-2030) Formats Data Table Titles (1 to 19 complete) Reference Case Projections by End-Use Sector and Country Gruping Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. Projections of Nuclear Generating Capacity Data Tables. Need help, contact the National Energy Information Center at 202-586-8800. F1 Total World Delivered Energy Consumption by End-Use Sector and Fuel Table F1. Total World Delivered Energy Consumption by End-Use Sector and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

31

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

32

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

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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

34

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

35

Assumptions to the Annual Energy Outlook 2003  

Gasoline and Diesel Fuel Update (EIA)

to 26.57 per barrel in the reference case Fully integrated High World Oil Price World oil prices are 33.05 per barrel in 2025,compared to 26.57 per barrel in the reference...

36

Annual Energy Outlook with Projections to 2025-Appendix A Reference Case  

Gasoline and Diesel Fuel Update (EIA)

A Reference Case Forecast Tables A Reference Case Forecast Tables Annual Energy Outlook 2004 with Projections to 2025 Appendix A Reference Case Forecast (2001-2025) Tables Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. MS Excel Viewer Spreadsheets are provided in excel Table Title Formats Summary Tables PDF Year by Year Tables PDF Table 1. Total Energy Supply and Disposition Summary Excel PDF Table 2. Energy Consumption by Sector and Source Excel PDF Table 3. Energy Prices by Sector and Source Excel PDF Table 4. Residential Sector Key Indicators and Consumption Excel PDF Table 5. Commercial Sector Indicators and Consumption Excel PDF Table 6. Industrial Key Indicators and Consumption Excel PDF Table 7. Transportation Sector Key Indicators and Delivered Energy Indicators

37

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

38

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

39

Annual Energy Outlook Retrospective Review: Evaluation of 2011 and Prior Reference Case Projections  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Annual Energy Outlook Retrospective Review: Evaluation of 2011 and Prior Reference Case Projections March 2012 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | AEO Retrospective Review: Evaluation of 2011 and Prior Reference Case Projections i 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

40

www.eia.gov Key results from the AEO2013 Reference case:  

E-Print Network (OSTI)

• Growth in energy production outstrips consumption growth • Crude oil production, particularly from tight oil plays, rises sharply over the next decade • Natural gas production is higher throughout the Reference case projection than it was in AEO2012, serving the industrial and power sectors and an expanding export market • Motor gasoline consumption reflects the introduction of more stringent fuel economy standards, while diesel fuel consumption is moderated by increased natural gas use in heavy-duty vehicles • The U.S. becomes a larger exporter of natural gas and coal than was projected in the AEO2012 Reference case • All renewable fuels grow, but biomass and biofuels growth is slower than in AEO2012 • U.S. energy-related carbon dioxide emissions remain more than five percent below their 2005 level through 2040, reflecting increased efficiency and the shift to a less carbon-intensive fuel mix

Adam Sieminski Administrator; Adam Sieminski; Adam Sieminski

2012-01-01T23:59:59.000Z

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


41

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

42

The Impact of Size Distribution Assumptions in a Bulk One-Moment Microphysics Scheme on Simulated Surface Precipitation and Storm Dynamics during a Low-Topped Supercell Case in Belgium  

Science Conference Proceedings (OSTI)

In this research the impact of modifying the size distribution assumptions of the precipitating hydrometeors in a bulk one-moment microphysics scheme on simulated surface precipitation and storm dynamics has been explored for long-lived low-topped ...

Kwinten Van Weverberg; Nicole P. M. van Lipzig; Laurent Delobbe

2011-04-01T23:59:59.000Z

43

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.

44

The disciplined use of simplifying assumptions  

Science Conference Proceedings (OSTI)

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

Charles Rich; Richard C. Waters

1982-04-01T23:59:59.000Z

45

Constraints for the design of variability-intensive service-oriented reference architectures - An industrial case study  

Science Conference Proceedings (OSTI)

Context: Service-oriented architecture has become a widely used concept in software industry. However, we currently lack support for designing variability-intensive service-oriented systems. Such systems could be used in different environments, without ... Keywords: Case study, Reference architectures, SOA, Service-oriented architecture, Variability, e-Government

Matthias Galster; Paris Avgeriou; Dan Tofan

2013-02-01T23:59:59.000Z

46

Forecasting Drought Using the Agricultural Reference Index for Drought (ARID): A Case Study  

Science Conference Proceedings (OSTI)

Drought forecasting can aid in developing mitigation strategies and minimizing economic losses. Drought may be forecast using a drought index, which is an indicator of drought. The agricultural reference index for drought (ARID) was used as a tool ...

Prem Woli; James Jones; Keith Ingram; Joel Paz

2013-04-01T23:59:59.000Z

47

An Updated Annual Energy Outlook 2009 Reference Case Reflecting Provisions of the American Recovery and Reinvestment Act and Recent Changes in the Economic Outlook  

Reports and Publications (EIA)

This report updates the Reference Case presented in the Annual Energy Outlook 2009 based on recently enacted legislation and the changing macroeconomic environment.

Alan Beamon

2009-04-21T23:59:59.000Z

48

Assumptions to the Annual Energy Outlook 2012  

U.S. Energy Information Administration (EIA)

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

49

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.

50

A Comparison of the Free Ride and CISK Assumptions  

Science Conference Proceedings (OSTI)

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

Torben Strunge Pedersen

1991-08-01T23:59:59.000Z

51

ORNL Residential Reference House Energy Demand model (ORNL-RRHED). Volume 4. Case studies  

Science Conference Proceedings (OSTI)

This report describes the use and structure of the ORNL Residential Reference House Energy Demand Model (RRHED). RRHED is a computer-based engineering-economic end-use simulation model which forecasts energy demand based on a detailed evaluation of how households use energy for particular appliances. The report is organized into four volumes. The first volume provides an overview of the modeling approach and gives a short summary of the material presented in the other three volumes. The second volume is a user reference guide which provides the details necessary for users of the model to run the code and make changes to fit their particular application. Volume 3 presents the basic theoretical rationale for the RRHED model structure. The last volume reports on the application of the model to the analysis of two different kinds of issues: one is the examination of conservation policy impacts and the other is the forecasting of electricity demand in a need for power assessment. The report has two major objectives. The first is to provide a reader with little background in end-use modeling with an introduction to how the RRHED model works. The second is to provide the details needed by a user of the model to understand not only the theory behind the model specification, but also the structure of the code. This information will allow for the modification of subroutines to fit particular applications.

Hamblin, D.M.; Thomas, B. Jr.; Maddigan, R.J.; Forman, C.W. Jr.; Bibo, L.J.; McKeehan, K.M.

1986-02-01T23:59:59.000Z

52

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.

53

Hierarchy of Mesoscale Flow Assumptions and Equations  

Science Conference Proceedings (OSTI)

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

P. Thunis; R. Bornstein

1996-02-01T23:59:59.000Z

54

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.

55

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

56

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

57

Bank Reform in Greece with reference to Eastern Europe The Case of The Hellenic Industrial Development Bank S.A.  

E-Print Network (OSTI)

Is Greece a reforming economy? The purpose of this paper is to present the evolution and structure of the banking sector in Greece, with reference to the parallel experiences of the Eastern European (EE) countries. In Section 2, we are concerned with the domestic economic environment within which the Greek Banking System (GBS) operates. and the pressures building up within the system encouraging reform. In Section 3, we look into the evolution of the Greek Banking System, both in terms of structures and in terms of policy. Changes in the instruments of monetary policy are also considered in this section. In Section 4, we present the case of the Hellenic Industrial Development Bank, currently undergoing a thorough restructuring plan. In Section 5, we examine some of the main similarities and differences between Greece and the EE countries in relation to banking sector problems and reforms.

Marica Frangakis

1998-01-01T23:59:59.000Z

58

Case Studies References  

Science Conference Proceedings (OSTI)

... of Infiltration and Ventilation in US Office Buildings Using Multizone Airflow Simulation IAQ and Energy 98, New Orleans, Louisiana, ASHRAE. ...

59

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

60

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

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

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


61

Assumptions to the Annual Energy Outlook - 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.

62

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

63

Effects of internal gain assumptions in building energy calculations  

DOE Green Energy (OSTI)

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

Christensen, C.; Perkins, R.

1981-01-01T23:59:59.000Z

64

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

Annual Energy Outlook 2012 (EIA)

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

65

Assumptions to the Annual Energy Outlook - Table 41  

Annual Energy Outlook 2012 (EIA)

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

66

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.

67

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.

68

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.

69

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).

70

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

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

71

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.

72

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

73

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

74

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

75

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

76

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

77

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...

78

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).

79

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).

80

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

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


81

References - CECM  

E-Print Network (OSTI)

help · annotate · Contents Next: About this document Up: RamanujanModular Equations, Previous: Sources · [Annotate] · [Shownotes]. References.

82

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.

83

Computational generation of referring expressions: A survey  

Science Conference Proceedings (OSTI)

This article offers a survey of computational research on referring expression generation (REG). It introduces the REG problem and describes early work in this area, discussing what basic assumptions lie behind it, and showing how its remit has widened ...

Emiel Krahmer; Kees van Deemter

2012-03-01T23:59:59.000Z

84

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.

85

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

Annual Energy Outlook 2012 (EIA)

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

86

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

Annual Energy Outlook 2012 (EIA)

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

87

Reference Tools  

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

Reference Tools Current Greenhouse Gas Concentrations Name that compound: The numbers game for CFCs, HFCs, HCFCs, and Halons Conversion Tables and More Glossary Acronyms CDIAC's...

88

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

89

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.

90

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.

91

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.

92

Annual Energy Outlook 2000 - Table G1 - Summary of the AEO2000 Cases  

Gasoline and Diesel Fuel Update (EIA)

AEO2000 Cases AEO2000 Cases Case name Description Integration mode Reference in text Reference in Appendix G 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 p. 49 — 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 p. 49 — 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 p. 50 — High World Oil Price World oil prices are $28.04 per barrel in 2020, compared to $22.04 per barrel in the reference case.

93

PVWatts Version 1 Technical Reference  

DOE Green Energy (OSTI)

The NREL PVWatts(TM) calculator is a web application developed by the National Renewable Energy Laboratory (NREL) that estimates the electricity production of a grid-connected photovoltaic system based on a few simple inputs. PVWatts combines a number of sub-models to predict overall system performance, and makes several hidden assumptions about performance parameters. This technical reference details the individual sub-models, documents assumptions and hidden parameters, and explains the sequence of calculations that yield the final system performance estimation.

Dobos, A. P.

2013-10-01T23:59:59.000Z

94

Reference Shelf  

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

Reference Shelf Reference Shelf Reference Shelf Find reference sources Questions? 505-667-5809 Email Biography Biographies of Women in Science Biography.com Marquis Who's Who NobelPrize.org Nobel Prize Internet Archive Calculators Currency Converter OnlineConversion.com Wolfram|Alpha Computational Knowledge Engine Dictionaries Oxford English Dictionary Merriam-Webster Dictionary DOD Dictionary of Military Terms Encyclopedias Britannica Online Columbia Encyclopedia Wikipedia Grants & Funding DOE Office of Science Grants & Contracts National Science Foundation National Institutes of Health Grants.Gov FedBizOpps.gov Los Alamos Info Los Alamos County Los Alamos Historical Society University of New Mexico - Los Alamos Campus Maps Atlapedia Online Perry-Casteneda Library Map Collection U.S. Gazetteer

95

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

96

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

97

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

98

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

99

Prognostic Evaluation of Assumptions Used by Cumulus Parameterizations  

Science Conference Proceedings (OSTI)

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

Georg A. Grell

1993-03-01T23:59:59.000Z

100

Computational soundness for standard assumptions of formal cryptography  

E-Print Network (OSTI)

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

Herzog, Jonathan, 1975-

2004-01-01T23:59:59.000Z

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


101

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

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

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

102

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

103

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

104

STANDARD REFERENCE  

E-Print Network (OSTI)

The profession is strongly urged to use the standard reference on the financial framework in the EU, concerning endorsed IFRS in order to give a clear message to the market and to users of financial statements in and outside the EU.

unknown authors

2005-01-01T23:59:59.000Z

105

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

106

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

107

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

108

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

109

Assumptions to the Annual Energy Outlook 2000 - Footnote  

Gasoline and Diesel Fuel Update (EIA)

[1] Energy Information Administration, Annual Energy Outlook 2000 (AEO2000), DOE/EIA-0383(2000), (Washington, DC, December 1999). [1] Energy Information Administration, Annual Energy Outlook 2000 (AEO2000), DOE/EIA-0383(2000), (Washington, DC, December 1999). [2] NEMS documentation reports are available on the EIA CD-ROM and the EIA Homepage (http://www.eia.gov/bookshelf.html). For ordering information on the CD-ROM, contact STAT-USA's toll free order number: 1-800-STAT-USA or by calling (202) 482-1986. [3] Energy Information Administration, The National Energy Modeling System: An Overview 1998, DOE/EIA-0581(98), (Washington, DC, February 1998). [4] The underlying macroeconomic growth cases use Standard and Poor’s DRI August 1999 T250899 and February TO250299 and TP250299. [5] PennWell Publishing Co., International Petroleum Encyclopedia, (Tulsa, OK, 1999). [6] EIA, EIA Model Documentation: World Oil Refining Logistics Demand Model, “WORLD” Reference Manual, DOE/EIA-M058, (Washington, DC, March 1994).

110

NISTIR 7617, Mobile Forensic Reference Materials  

Science Conference Proceedings (OSTI)

... The SIM1.xml and SIM2.xml files contain basic reference data cases, while SIM3.xml contains unconventional data cases under consideration and ...

2012-03-01T23:59:59.000Z

111

Subject: References:  

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

Subject: Subject: References: DEAR 970.3102-2 Compensation for personal services DEAR 970.5204-13 Allowable costs and fixed-fee (Management and operating contracts) DEAR 970.5204-14 Allowable costs and fixed-fee (support contracts) When is this ~\.cquisition Letter (AL) Effective? This AL is effective 10 days from the date of issuance. This gui~ce supersedes any previous statutory cap on executive compensation. Existing contracts need to be reviewed to determine whether contract terms and conditions are consistent with the guidance in this AL, or whether contract modifications are necessary. When Does this AL Expire? This AL remain;; in effect until superseded or canceled. Whom do you Contact for More Information? Contact the Office of Procurement and Assistance Policy, for questions pertaining to the

112

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

E-Print Network (OSTI)

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

C. Carilli; S. Rawlings

2004-09-12T23:59:59.000Z

113

"Table 1. Aeo Reference Case Projection Results" "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated"  

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

Aeo Reference Case Projection Results" Aeo Reference Case Projection Results" "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated" "Gross Domestic Product" "Real Gross Domestic Product (Average Cumulative Growth)* (Table 2)",0.9772689079,42.55319149 "Petroleum" "Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a)",35.19047501,18.61702128 "Imported Refiner Acquisition Cost of Crude Oil (Nominal $) (Table 3b)",34.68652106,19.68085106 "Total Petroleum Consumption (Table 4)",6.150682783,66.4893617 "Crude Oil Production (Table 5)",5.99969572,59.57446809 "Petroleum Net Imports (Table 6)",13.27260615,67.0212766 "Natural Gas"

114

Aluminum reference electrode  

DOE Patents (OSTI)

A stable reference electrode for use in monitoring and controlling the process of electrolytic reduction of a metal. In the case of Hall cell reduction of aluminum, the reference electrode comprises a pool of molten aluminum and a solution of molten cryolite, Na.sub.3 AlF.sub.6, wherein the electrical connection to the molten aluminum does not contact the highly corrosive molten salt solution. This is accomplished by altering the density of either the aluminum (decreasing the density) or the electrolyte (increasing the density) so that the aluminum floats on top of the molten salt solution.

Sadoway, Donald R. (Belmont, MA)

1988-01-01T23:59:59.000Z

115

Aluminum reference electrode  

DOE Patents (OSTI)

A stable reference electrode is described for use in monitoring and controlling the process of electrolytic reduction of a metal. In the case of Hall cell reduction of aluminum, the reference electrode comprises a pool of molten aluminum and a solution of molten cryolite, Na[sub 3]AlF[sub 6], wherein the electrical connection to the molten aluminum does not contact the highly corrosive molten salt solution. This is accomplished by altering the density of either the aluminum (decreasing the density) or the electrolyte (increasing the density) so that the aluminum floats on top of the molten salt solution. 1 fig.

Sadoway, D.R.

1988-08-16T23:59:59.000Z

116

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

117

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":""}]}

118

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.

119

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

120

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 "reference case assumptions" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

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

122

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

123

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.

124

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.

125

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.

126

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.

127

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

128

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

129

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.

130

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.

131

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.

132

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

133

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.

134

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).

135

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)

136

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

Gasoline and Diesel Fuel Update (EIA)

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

137

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.

138

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

139

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.

140

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

Gasoline and Diesel Fuel Update (EIA)

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

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141

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

142

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

143

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),

144

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

145

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

146

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

147

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.

148

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.

149

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

150

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).

151

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).

152

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

153

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.

154

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.

155

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).

156

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

157

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).

158

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

159

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

160

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

Gasoline and Diesel Fuel Update (EIA)

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

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


161

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.

162

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,

163

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

164

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).

165

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

166

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).

167

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).

168

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

169

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

Gasoline and Diesel Fuel Update (EIA)

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

170

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

171

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

Science Conference Proceedings (OSTI)

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

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

2010-11-01T23:59:59.000Z

172

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

173

NEWTON's Chemistry References  

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

Chemistry References Do you have a great chemistry reference link? Please click our Ideas page. Featured Reference Links: Steve Marsden's Chemistry Resources Steve Marsden's...

174

NEWTON's Physics References  

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

Physics References Do you have a great physics reference link? Please click our Ideas page. Featured Reference Links: Physics Links Physics Links from AAPT See the American...

175

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

SciTech Connect

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

Hommel, S.; Fountain, D.

2012-03-28T23:59:59.000Z

176

Materials Reference Books  

Science Conference Proceedings (OSTI)

Materials Science Reference Books. ... The Smithells Metals Reference Book Brandis and Brook; Butterworth-Heinemann; Published 1992; ISBN ...

2010-10-05T23:59:59.000Z

177

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.

178

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

179

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).

180

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.

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


181

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.

182

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

183

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).

184

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

Science Conference Proceedings (OSTI)

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

Kuan-Man Xu

1994-12-01T23:59:59.000Z

185

Quality Reference Samples  

Science Conference Proceedings (OSTI)

Peer-reviewed fats and oils related performance-based control samples for lab quality assurance and quality control. Quality Reference Samples Certified Reference Materials (CRM) aocs certified Certified Reference Materials chemists CRM fat fats lab labo

186

NEWTON's Computer Science References  

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

Computer Science References Do you have a great computer reference link? Please click our Ideas page. Featured Reference Links: w3schools.com w3schools.com The site, w3schools.com,...

187

COSY INFINITY Reference Manual  

E-Print Network (OSTI)

7.2, user's refer- ence manual. Technical Report CERN/LEP-COSY INFINITY Reference Manual M. Berz J I July 1990COSY INFlNlTY REFERENCE MANUAL * Martin Berz Accelerator and

Berz, M.

2010-01-01T23:59:59.000Z

188

Shift Reference Manual  

E-Print Network (OSTI)

BERKELEY Shift Reference Manual Akash Deshpande Aleks Göllü1055-1425 S HIFT Reference Manual PRCS project SHIC versionThis is a reference manual for S HIFT . It presents its

Deshpande, Akash; Gollu, Aleks; Semenzato, Luigi

1997-01-01T23:59:59.000Z

189

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

SciTech Connect

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

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

1996-01-01T23:59:59.000Z

190

Assumptions to the Annual Energy Outlook 1999 - Footnotes  

Gasoline and Diesel Fuel Update (EIA)

footnote.gif (3505 bytes) footnote.gif (3505 bytes) [1] Energy Information Administration, Annual Energy Outlook 1999 (AEO99), DOE/EIA-0383(99), (Washington, DC, December 1998). [2] NEMS documentation reports are available on the EIA CD-ROM and the EIA Homepage (http://www.eia.gov/bookshelf.html). For ordering information on the CD-ROM, contact STAT-USA's toll free order number: 1-800-STAT-USA or by calling (202) 482-1986. [3] Energy Information Administration, The National Energy Modeling System: An Overview 1998, DOE/EIA-0581(98), (Washington, DC, February 1998). [4] The underlying macroeconomic growth cases use DRI/McGraw-Hill’s August 1998 T250898 and February TO250298 and TP250298. [5] EIA, International Energy Outlook 1998, DOE/EIA-0484(98) (Washington DC, April 1998).

191

Assumptions to the Annual Energy Outlook 2001 - Footnotes  

Gasoline and Diesel Fuel Update (EIA)

Feedback Feedback Related Links Annual Energy Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage FOOTNOTES [1] Energy Information Administration, Annual Energy Outlook 2001 (AEO2001), DOE/EIA-0383(2001), (Washington, DC, December 2000). [2] NEMS documentation reports are available on the EIA CD-ROM and the EIA Homepage (http://www.eia.gov/bookshelf.html). For ordering information on the CD-ROM, contact STAT-USA's toll free order number: 1-800-STAT-USA or by calling (202) 482-1986. [3] Energy Information Administration, The National Energy Modeling System: An Overview 2000, DOE/EIA-0581(2000), (Washington, DC, March 2000). [4] The underlying macroeconomic growth cases use Standard and Poor’s DRI February 2000 T250200 and February TO250299 and TP250299.

192

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

193

References: See Enclosure 1  

E-Print Network (OSTI)

a. Reissues DoD 4140.65-M (Reference (a)) in accordance with the authority in DoD Directive 5134.12 (Reference (b)) to establish guidance for the issuance, use, and disposal of wood packaging material (WPM) in compliance with International Standards for Phytosanitary Measures (ISPM) Number 15 (Reference (c)). When used as an adjective in this Manual, Reference (c) will be referred to as “ISPM No. 15.” b. Issues WPM procedures to:

unknown authors

2012-01-01T23:59:59.000Z

194

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.

195

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.

196

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.

197

NPP References and Summaries  

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

Full references and selected summaries (in alphabetical order of first author name by data set): Chinese Forests NPP Data Set References Gao, Q. and X.S. Zhang (1997) A simulation...

198

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

E-Print Network (OSTI)

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

Lipman, Timothy

1999-01-01T23:59:59.000Z

199

Standard Reference Data  

Science Conference Proceedings (OSTI)

... The National Standard Reference Data System (NSRDS-NBS) provides access to the quantitative data of physical sciences, critically evaluated ...

2013-09-19T23:59:59.000Z

200

Standard Reference Materials  

Science Conference Proceedings (OSTI)

... Inn, KGW, Liggett, WS, and Hutchinson, JMR (1984), "The National Bureau of Standards Rocky Flats Soil Standard Reference Material," Nuclear ...

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


201

Data center reference lists  

Science Conference Proceedings (OSTI)

Data Center Publications. Use the following form to retrieve a list of references to critical compilations, databases, reviews ...

202

Annual Energy Outlook 2011 Reference Case  

Gasoline and Diesel Fuel Update (EIA)

For For U.S. Senate Briefing August 12, 2013 | Washington, DC by Adam Sieminski, Administrator Key findings of the International Energy Outlook 2013 2 Adam Sieminski, IEO2013 August 12, 2013 * With world GDP rising by 3.6 percent per year, world energy use will grow by 56 percent between 2010 and 2040. Half of the increase is attributed to China and India. * Renewable energy and nuclear power are the world's fastest-growing energy sources, each increasing by 2.5 percent per year; however, fossil fuels continue to supply almost 80 percent of world energy use through 2040. * Natural gas is the fastest growing fossil fuel in the outlook, supported by increasing supplies of shale gas, particularly in the United States. * Coal grows faster than petroleum consumption until after 2030, mostly due to

203

Annual Energy Outlook 2011 Reference Case  

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

International Energy Outlook 2013 International Energy Outlook 2013 for Center for Strategic and International Studies July 25, 2013 | Washington, DC by Adam Sieminski, Administrator Key findings of the International Energy Outlook 2013 2 Adam Sieminski, IEO2013 July 25, 2013 * With world GDP rising by 3.6 percent per year, world energy use will grow by 56 percent between 2010 and 2040. Half of the increase is attributed to China and India. * Renewable energy and nuclear power are the world's fastest-growing energy sources, each increasing by 2.5 percent per year; however, fossil fuels continue to supply almost 80 percent of world energy use through 2040. * Natural gas is the fastest growing fossil fuel in the outlook, supported by increasing supplies of shale gas, particularly in the United States.

204

Annual Energy Outlook 2011 Reference Case  

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

2 U.S. electricity net generation trillion kilowatthours Source: EIA, Annual Energy Outlook 2013 25% 19% 42% 13% 1% Nuclear Oil and other liquids Natural gas Coal Renewables...

205

Annual Energy Outlook 2011 Reference Case  

U.S. Energy Information Administration (EIA)

Half of the increase is attributed to China and India. Renewable energy and nuclear power are the world’s fastest-growing energy sources, ...

206

Annual Energy Outlook 2011 Reference Case  

Gasoline and Diesel Fuel Update (EIA)

etc.) * Statutory and Regulatory requirements (RFS2, for example) * Prices of primary energy (crude oil, etc.) LP * Minimize cost to meet fuel demands and legal requirements *...

207

Annual Energy Outlook 2011 Reference Case  

U.S. Energy Information Administration (EIA)

... June 2012 Gasoline-only vehicles without hybrid technologies decline as a share of new vehicle sales * U.S. light car and ... 2012 Non-hydro ...

208

Annual Energy Outlook 2011 Reference Case  

U.S. Energy Information Administration (EIA)

... and China The timing of Japan’s full recovery from the impacts of the 2011 nuclear disaster at Fukushima Social unrest in the Middle East and ...

209

Chemical Reference Data Group Homepage  

Science Conference Proceedings (OSTI)

Chemical Reference Data Group. Welcome. The Chemical Reference Data Group compiles, evaluates, correlates and measures ...

2013-07-10T23:59:59.000Z

210

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.

211

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

E-Print Network (OSTI)

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

van den Brink, Jeroen

212

High frequency reference electrode  

DOE Patents (OSTI)

A high frequency reference electrode for electrochemical experiments comprises a mercury-calomel or silver-silver chloride reference electrode with a layer of platinum around it and a layer of a chemically and electrically resistant material such as TEFLON around the platinum covering all but a small ring or halo'' at the tip of the reference electrode, adjacent to the active portion of the reference electrode. The voltage output of the platinum layer, which serves as a redox electrode, and that of the reference electrode are coupled by a capacitor or a set of capacitors and the coupled output transmitted to a standard laboratory potentiostat. The platinum may be applied by thermal decomposition to the surface of the reference electrode. The electrode provides superior high-frequency response over conventional electrodes.

Kronberg, J.W.

1991-03-05T23:59:59.000Z

213

High frequency reference electrode  

DOE Patents (OSTI)

A high frequency reference electrode for electrochemical experiments comprises a mercury-calomel or silver-silver chloride reference electrode with a layer of platinum around it and a layer of a chemically and electrically resistant material such as TEFLON around the platinum covering all but a small ring or halo' at the tip of the reference electrode, adjacent to the active portion of the reference electrode. The voltage output of the platinum layer, which serves as a redox electrode, and that of the reference electrode are coupled by a capacitor or a set of capacitors and the coupled output transmitted to a standard laboratory potentiostat. The platinum may be applied by thermal decomposition to the surface of the reference electrode. The electrode provides superior high-frequency response over conventional electrodes. 4 figs.

Kronberg, J.W.

1994-05-31T23:59:59.000Z

214

High frequency reference electrode  

DOE Patents (OSTI)

A high frequency reference electrode for electrochemical experiments comprises a mercury-calomel or silver-silver chloride reference electrode with a layer of platinum around it and a layer of a chemically and electrically resistant material such as TEFLON around the platinum covering all but a small ring or "halo" at the tip of the reference electrode, adjacent to the active portion of the reference electrode. The voltage output of the platinum layer, which serves as a redox electrode, and that of the reference electrode are coupled by a capacitor or a set of capacitors and the coupled output transmitted to a standard laboratory potentiostat. The platinum may be applied by thermal decomposition to the surface of the reference electrode. The electrode provides superior high-frequency response over conventional electrodes.

Kronberg, James W. (Aiken, SC)

1994-01-01T23:59:59.000Z

215

Optical voltage reference  

DOE Patents (OSTI)

An optical voltage reference for providing an alternative to a battery source is described. The optical reference apparatus provides a temperature stable, high precision, isolated voltage reference through the use of optical isolation techniques to eliminate current and impedance coupling errors. Pulse rate frequency modulation is employed to eliminate errors in the optical transmission link while phase-lock feedback is employed to stabilize the frequency to voltage transfer function. 2 figures.

Rankin, R.; Kotter, D.

1994-04-26T23:59:59.000Z

216

Optical voltage reference  

DOE Patents (OSTI)

An optical voltage reference for providing an alternative to a battery source. The optical reference apparatus provides a temperature stable, high precision, isolated voltage reference through the use of optical isolation techniques to eliminate current and impedance coupling errors. Pulse rate frequency modulation is employed to eliminate errors in the optical transmission link while phase-lock feedback is employed to stabilize the frequency to voltage transfer function.

Rankin, R.; Kotter, D.

1992-12-31T23:59:59.000Z

217

APPENDIX B: REFERENCES  

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

2010 Appendix B: References Bloomfield, K., J.N. Moore, and R.M. Neilson Jr. 2003. Geothermal Energy Reduces Greenhouse Gases. Geothermal Research Council. GRC Bulletin, April...

218

NEWTON's References About Mathematics  

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

Please click our Ideas page. Featured Reference Links: Free Math Video Lectures Mathematics Online Courses View 100s of free instructional math videos. FreeVideoLectures...

219

The Conniver Reference Manual  

E-Print Network (OSTI)

This manual is an introduction and reference to the latest version of the Conniver programming language, an AI language wit general control and data-base structures.

McDermott, Drew V.

1972-05-01T23:59:59.000Z

220

NEWTON's Botany References  

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

Botany References Botany References Do you have a great botany reference link? Please click our Ideas page. Featured Reference Links: Dave's Garden - Plant Database Dave's Garden - Plant Database Visit Dave's Garden with information and photos for 185,359 different plants! United States Department of Agriculture Plant Database USDA PLANTS Database The PLANTS Database provides standardized information about the vascular plants, mosses, liverworts, hornworts, and lichens of the U.S. and its territories. Search over 40,000 plant images of US plants. Botany.com Botany.com Botany.com offers an encyclopedia of flowers and plants and resources to help people learn how to identify any different kinds of plants. Plant Kingdom This is a good reference for looking at the plant kingdom.

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


221

NEWTON's General Science References  

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

General Science References General Science References Do you have a great general science reference link? Please click our Ideas page. Featured Reference Links: First.gov Science and Technology First.gov Science and Technology This site, sponsered by the US Government provides reference links to topics on science, telecommunications, computers, research agencies, and news. NASA Science NASA Science NASA Science, is a website sponsered by NASA, that supplies resources for understanding our world and the world above. Topics include earth science, heliophysics, the planets, astrophysics and much more. There is also an educator page! Nobel Laueate Listings and Stories Nobel Laueate Listings and Stories See the official site for the Nobel Prize, and read biographies about all of the Nobel Laureates, and there life changing discoveries and accomplishments.

222

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

Science Conference Proceedings (OSTI)

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

Olivier Pannekoucke

2009-09-01T23:59:59.000Z

223

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

Science Conference Proceedings (OSTI)

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

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

2012-12-01T23:59:59.000Z

224

Wilderness Preservation : a Reference Handbook  

E-Print Network (OSTI)

Preservation: A Reference Handbook By Kenneth A. RossenbergPreservation: A Reference Handbook. Santa Barbara: ABC-CLIO,Preservation: A Reference Handbook is a comprehensive

Zimmer, Peter

1996-01-01T23:59:59.000Z

225

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

SciTech Connect

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

Wayne Moe

2013-05-01T23:59:59.000Z

226

High DSM Scenario Request for the 2011 TEPPC Transmission Expansion Plan (and Treatment of DSM in Reference Case/Other Scenarios) Recommendation of the State/Provincial Steering Committee DSM Working Group  

E-Print Network (OSTI)

At the November 6, 2009 meeting of the State-Provincial Steering Committee (SPSC), the SPSC agreed that it would submit a high DSM scenario to TEPPC and requested that the DSM Working Group prepare the request, for review and approval by the SPSC. This document outlines the approach recommended by the DSM Work Group for developing a high DSM scenario, to be modeled in the 2011 TEPPC 10-Year Transmission Expansion Plan. 1 In addition, the DSM Working Group has developed recommendations for the treatment of DSM in the reference case and two scenarios (Carbon Reduction and Breakthrough Technology) proposed by the Scenario Working Group. Table 1 sets for the recommended approach for these items, for energy efficiency (EE), demand response (DR), combined heat and power (CHP) and distribution system efficiency upgrades. These recommendations have been informed by the technical assistance of Lawrence Berkeley National Laboratory (LBNL) and the non-state officials participating in the DSM Working Group, as well as the state official/commissioner members of the Group.

unknown authors

2009-01-01T23:59:59.000Z

227

NEWTON's Molecular Biology References  

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

Molecular Biology References Molecular Biology References Do you have a great reference link? Please click our Ideas page. Featured Reference Links: The Vitual Museum of Bacteria The Vitual Museum of Bacteria Visit the virtual museum of bacteria to learn more about bacteria and germs! This site brings together many links on bacteria, bacteriology, and related topics available on the web. It also provides crystal-clear information about many aspects of bacteria. The American Society of Cell Biology Cell Biology Educational Resources This site, sponsered by the American Society of Cell Biology, provides additional web links to everything from, general educational sites, to biology course materials, to teaching tools and more. National Center for Biotechnology Information National Center for Biotechnology Information

228

Transforming Definitions of Reference  

E-Print Network (OSTI)

“Four components of reference service: 1. Instruct the reader in the ways of the library. 2. Assist readers in solving their inquiries. 3. Aid the reader in the selection of good works. 4. Promote the library within the community.” Green, S.S. (1876). Personal relations between librarian and readers. American Library Journal, 1, 74-81. 1943 “Reference work. 1. That phase of library work which is directly concerned with assistance to readers in securing information and in using the resources of the library in study and research. 2. The work of a reference department.” American Library Association. Committee on Library Terminology. (1943). A.L.A. glossary of library terms, with a selection of terms in related fields. Chicago: American Library Association. 1982 “Reference transaction An information contact which involves the use, recommendation, interpretation, or instruction in the use of one or more information sources, or knowledge of such

unknown authors

2008-01-01T23:59:59.000Z

229

References to Astrophysics Papers  

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

References to Astrophysics Papers References to Astrophysics Papers References to Astrophysics Papers Edward Tufte claims the most common number of references to scientific papers is zero. My five papers in astrophysics published from 1992 to 1996 continue to receive citations. Major ones are listed below. Mineo, S.; Rappaport, S.; Steinhorn, B.; Levine, A.; Gilfanov, M.; Pooley, D., 2013, The Astrophysical Journal, Volume 771, Issue 2, article id. 133, 12 pp. Spatially Resolved Star Formation Image and the Ultraluminous X-Ray Source Population in NGC 2207/IC 2163 Junqueira, T. C.; Lépine, J. R. D.; Braga, C. A. S.; Barros, D. A 2013, Astronomy & Astrophysics, Volume 550, id.A91. A new model for gravitational potential perturbations in disks of spiral galaxies. An application to our Galaxy.

230

NEWTON's References About Mathematics  

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

Math References Math References Do you have a great math reference link? Please click our Ideas page. Featured Reference Links: Steve Marsden's Chemistry Resources Discovery Education's Mathematics Guide Discovery Educators have provided a Mathematics Guide for Educators. Included are numerous links to sites that touch on almost every mathematic topic that you are interested in. The Ultimate Math Portal The Ultimate Math Portal Whether you are confused by multiplication, need extra practice with geometry proofs, find yourself struggling to understand logarithms, or you just want to know more about pi, you are sure to find what you need with this great list of math facts and resources. MathIsFun.com MathIsFun.com Here, math is explained in easy language, for your students to understand. Plus, there are puzzles, games, quizzes, worksheets and a forum for more exploration. This site is designed for K-12 kids, teachers and parents to enjoy.

231

NEWTON's Material Science References  

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

Material Science References Material Science References Do you have a great material science reference link? Please click our Ideas page. Featured Reference Links: Materials Research Society Materials Research Society The Materials Research Society has assembled many resources in its Materials Science Enthusiasts site. This site has information for the K-12 audience, general public, and materials science professionals. Material Science nanoHUB nanHUB.org is the place for nanotechnology research, education, and collaboration. There are Simulation Programs, Online Presentations, Courses, Learning Modules, Podcasts, Animations, Teaching Materials, and more. (Intened for high school and up) Materials Science Resources on the Web Materials Science Resources on the Web This site gives a good general introduction into material science. Sponsered by Iowa State, it talks about what material science is, ceramics and composites, and other topics.

232

References - Energy Information Administration  

U.S. Energy Information Administration (EIA)

References 1.En ergy In for ma tion Ad min istra tion. Natu ral Gas Pro - duc tive Ca pac ity for the Lower 48 States 1980 through 1991 . DOE/EIA- 0542 (Wash ing ton ...

233

LLSIM Reference Manual  

E-Print Network (OSTI)

A program that simulates a Digital Equipment Corporation PDP-11 computer and many of its peripherals on the AI Laboratory Time Sharing System (ITS) is described from a user's reference point of view. This simulator has ...

Eastlake, Donald

1971-12-01T23:59:59.000Z

234

MIT Scheme Reference Manual  

E-Print Network (OSTI)

MIT Scheme is an implementation of the Scheme programming language that runs on many popular workstations. The MIT Scheme Reference Manual describes the special forms, procedures, and datatypes provided by the ...

Hanson, Chris

1991-01-01T23:59:59.000Z

235

LLSIM Reference Manual  

E-Print Network (OSTI)

A program that simulates a Digital Equipment Corporation PDP-11 computer and many of its peripherals on the AI Laboratory Time Sharing System (ITS) is described from a user's reference point of view. This simulator has ...

Eastlake, Donald E.

1972-02-01T23:59:59.000Z

236

Technical Reference OVERVIEW  

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

and the ENERGY STAR Score in the United States and Canada Page 1 Parking and the ENERGY STAR Score in the United States and Canada Technical Reference OVERVIEW The ENERGY STAR...

237

Quality Assurance REFERENCE GUIDE  

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

Quality Assurance Quality Assurance Qualification Standard DOE-STD-1150-2002 July 2012 Reference Guide The Functional Area Qualification Standard References Guides are developed to assist operators, maintenance personnel, and the technical staff in the acquisition of technical competence and qualification within the Technical Qualification Program. Please direct your questions or comments related to this document to the Office of Leadership and Career Management, Technical Qualification Program (TQP) Manager, Albuquerque Complex. This page is intentionally blank. Table of Contents i FIGURES ....................................................................................................................................... ii TABLES ........................................................................................................................................ iii

238

Multifunctional reference electrode  

DOE Patents (OSTI)

A multifunctional, low mass reference electrode of a nickel tube, thermocouple means inside the nickel tube electrically insulated therefrom for measuring the temperature thereof, a housing surrounding the nickel tube, an electrolyte having a fixed sulfide ion activity between the housing and the outer surface of the nickel tube forming the nickel/nickel sulfide/sulfide half-cell are described. An ion diffusion barrier is associated with the housing in contact with the electrolyte. Also disclosed is a cell using the reference electrode to measure characteristics of a working electrode.

Redey, L.; Vissers, D.R.

1981-12-30T23:59:59.000Z

239

TERMS OF REFERENCE  

E-Print Network (OSTI)

Act 2002 (the Act), hereby makes a reference to the CC for an investigation into the supply or acquisition of PH in the UK. 2. The OFT has reasonable grounds for suspecting that a feature or a combination of features of the market or markets for the supply or acquisition of PH prevents, restricts or distorts competition. 3. For the purposes of this reference, PH means privately funded healthcare services. These are services provided to patients via private facilities/clinics including private patient units, through the services of consultants, medical and clinical

John Fingleton

2012-01-01T23:59:59.000Z

240

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

SciTech Connect

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

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

1995-02-01T23:59:59.000Z

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


241

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

Science Conference Proceedings (OSTI)

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

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

2013-01-01T23:59:59.000Z

242

EPRI HVDC Reference Book  

Science Conference Proceedings (OSTI)

This report is actually Chapter 17 of the EPRI HVDC Reference Book and describes a variety of simulation tools for high-voltage direct current (HVDC) systems. Modeling and simulation of HVDC systems is essential in the planning, engineering, designing, and operating stages of an HVDC system.

2008-04-15T23:59:59.000Z

243

Radwaste Desk Reference  

Science Conference Proceedings (OSTI)

This volume of the Radwaste Desk Reference contains fundamental practical and regulatory information on the transportation of radioactive waste. Because its information is based entirely on industry practice, the work can serve as an extensive how-to manual for both the newcomer and the experienced radwaste professional.

2011-07-28T23:59:59.000Z

244

SAMATE Reference Dataset - SAMATE  

Science Conference Proceedings (OSTI)

... searching test cases, click on the tab of Extended ... On the right portion of the screen, expand the ... at searching field “Weakness” on the left portion of ...

2013-05-22T23:59:59.000Z

245

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

E-Print Network (OSTI)

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

246

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

DOE Green Energy (OSTI)

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

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

1996-08-01T23:59:59.000Z

247

NEWTON's Botany References  

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

Botany References Botany References Do you have a great botany video? Please click our Ideas page. Featured Videos: AOL News AOL News - Botany Videos AOL news provides hundreds of botany videos from around the world. View informational and instructional videos as well as interviews about the latest botany topics and discoveries. NeoK12 Plant Videos NeoK12 - Every Plant Topic Imaginable Explore videos encompassing every category dealing with plants. Learn about photosynthesis, plant evolution, reproduction, and many more plant related videos. Fungus Image Fungi Videos BBC Nature provides informational videos about fugni and other organisms. Learn and explore a wide variety of topics concerning the fungus kingdom. Other Botany Videos: Botany Videos for Kids Look at various botany videos geared towards a younger audience.

248

Reference Undulator Measurement Results  

SciTech Connect

The LCLS reference undulator has been measured 22 times during the course of undulator tuning. These measurements provide estimates of various statistical errors. This note gives a summary of the reference undulator measurements and it provides estimates of the undulator tuning errors. We measured the reference undulator many times during the tuning of the LCLS undulators. These data sets give estimates of the random errors in the tuned undulators. The measured trajectories in the reference undulator are stable and straight to within {+-}2 {micro}m. Changes in the phase errors are less than {+-}2 deg between data sets. The phase advance in the cell varies by less than {+-}2 deg between data sets. The rms variation between data sets of the first integral of B{sub x} is 9.98 {micro}Tm, and the rms variation of the second integral of B{sub x} is 17.4 {micro}Tm{sup 2}. The rms variation of the first integral of B{sub y} is 6.65 {micro}Tm, and the rms variation of the second integral of B{sub y} is 12.3 {micro}Tm{sup 2}. The rms variation of the x-position of the fiducialized beam axis is 35 {micro}m in the final production run This corresponds to an rms uncertainty in the K value of {Delta}K/K = 2.7 x 10{sup -5}. The rms variation of the y-position of the fiducialized beam axis is 4 {micro}m in the final production run.

Wolf, Z

2011-08-18T23:59:59.000Z

249

MATLAB r ? / R Reference  

E-Print Network (OSTI)

I wrote the first version of this reference during the Spring 2007 semester, as I learned R while teaching my course “MAT400, Modeling & Simulation ” at the University of Maine. The course covers population and epidemiological modeling, including deterministic and stochastic models in discrete and continuous time, along with spatial models. Half of the class meetings are in a regular classroom, and half are in a computer lab where students work through modeling & simulation exercises. When I taught earlier versions of the course, it was based on Matlab only. In Spring 2007, some biology graduate students in the class who had learned R in statistics courses asked if they could use R in my class as well, and I said yes. My colleague Bill Halteman was a great help as I frantically learned R to stay ahead of the class. As I went, every time I learned how to do something in R for the course, I added it to this reference, so that I wouldn’t forget it later. Some items took a huge amount of time searching for a simple way to do what I wanted, but at the end of the semester, I was pleasantly surprised that almost everything I do in Matlab had an equivalent in R. I was also inspired to do this after seeing the “R for Octave Users” reference written by Robin Hankin. This reference is organized into general categories. There is also a Matlab index and an R index at the end, which should make it easy to look up a command you know in one of the languages and learn

David Hiebeler

2008-01-01T23:59:59.000Z

250

NIST Standard Reference Simulation Website  

Science Conference Proceedings (OSTI)

... simulations, that can be treated similar to "standard reference data ... techniques and compiled by NIST under the Standards Reference Data Program. ...

2013-08-27T23:59:59.000Z

251

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

252

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.

253

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

Science Conference Proceedings (OSTI)

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

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

1996-04-01T23:59:59.000Z

254

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

SciTech Connect

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

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

1995-02-01T23:59:59.000Z

255

Coal data: A reference  

SciTech Connect

This report, Coal Data: A Reference, summarizes basic information on the mining and use of coal, an important source of energy in the US. This report is written for a general audience. The goal is to cover basic material and strike a reasonable compromise between overly generalized statements and detailed analyses. The section ``Supplemental Figures and Tables`` contains statistics, graphs, maps, and other illustrations that show trends, patterns, geographic locations, and similar coal-related information. The section ``Coal Terminology and Related Information`` provides additional information about terms mentioned in the text and introduces some new terms. The last edition of Coal Data: A Reference was published in 1991. The present edition contains updated data as well as expanded reviews and additional information. Added to the text are discussions of coal quality, coal prices, unions, and strikes. The appendix has been expanded to provide statistics on a variety of additional topics, such as: trends in coal production and royalties from Federal and Indian coal leases, hours worked and earnings for coal mine employment, railroad coal shipments and revenues, waterborne coal traffic, coal export loading terminals, utility coal combustion byproducts, and trace elements in coal. The information in this report has been gleaned mainly from the sources in the bibliography. The reader interested in going beyond the scope of this report should consult these sources. The statistics are largely from reports published by the Energy Information Administration.

Not Available

1995-02-01T23:59:59.000Z

256

Technical Reference OVERVIEW  

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

Parking and the ENERGY STAR Score in the United States and Canada Page 1 Parking and the ENERGY STAR Score in the United States and Canada Page 1 Parking and the ENERGY STAR Score in the United States and Canada Technical Reference OVERVIEW The ENERGY STAR score provides a fair assessment of the energy performance of a property relative to its peers, taking into account the climate, weather, and business activities at the property. Parking areas are not eligible to earn the ENERGY STAR score. However, because parking is a common amenity at other commercial building types (i.e., office and hotels), the ENERGY STAR score does make adjustments to accommodate for the presence of parking.

257

Long life reference electrode  

DOE Patents (OSTI)

An external, reference electrode is provided for long term use with a high temperature, high pressure system. The electrode is arranged in a vertical, electrically insulative tube with an upper portion serving as an electrolyte reservoir and a lower portion in electrolytic communication with the system to be monitored. The lower end portion includes a flow restriction such as a porous plug to limit the electrolyte release into the system. A piston equalized to the system pressure is fitted into the upper portion of the tube to impart a small incremental pressure to the electrolyte. The piston is selected of suitable size and weight to cause only a slight flow of electrolyte through the porous plug into the high pressure system. This prevents contamination of the electrolyte but is of such small flow rate that operating intervals of a month or more can be achieved. 2 figs.

Yonco, R.M.; Nagy, Z.

1989-04-04T23:59:59.000Z

258

Nuclear Science References Database  

E-Print Network (OSTI)

The Nuclear Science References (NSR) database together with its associated Web interface, is the world's only comprehensive source of easily accessible low- and intermediate-energy nuclear physics bibliographic information for more than 210,000 articles since the beginning of nuclear science. The weekly-updated NSR database provides essential support for nuclear data evaluation, compilation and research activities. The principles of the database and Web application development and maintenance are described. Examples of nuclear structure, reaction and decay applications are specifically included. The complete NSR database is freely available at the websites of the National Nuclear Data Center http://www.nndc.bnl.gov/nsr and the International Atomic Energy Agency http://www-nds.iaea.org/nsr.

B. Pritychenko; E. B?ták; B. Singh; J. Totans

2013-02-27T23:59:59.000Z

259

Tank characterization reference guide  

Science Conference Proceedings (OSTI)

Characterization of the Hanford Site high-level waste storage tanks supports safety issue resolution; operations and maintenance requirements; and retrieval, pretreatment, vitrification, and disposal technology development. Technical, historical, and programmatic information about the waste tanks is often scattered among many sources, if it is documented at all. This Tank Characterization Reference Guide, therefore, serves as a common location for much of the generic tank information that is otherwise contained in many documents. The report is intended to be an introduction to the issues and history surrounding the generation, storage, and management of the liquid process wastes, and a presentation of the sampling, analysis, and modeling activities that support the current waste characterization. This report should provide a basis upon which those unfamiliar with the Hanford Site tank farms can start their research.

De Lorenzo, D.S.; DiCenso, A.T.; Hiller, D.B.; Johnson, K.W.; Rutherford, J.H.; Smith, D.J. [Los Alamos Technical Associates, Kennewick, WA (United States); Simpson, B.C. [Westinghouse Hanford Co., Richland, WA (United States)

1994-09-01T23:59:59.000Z

260

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

E-Print Network (OSTI)

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

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

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


261

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

E-Print Network (OSTI)

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

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

262

LAI References and Summaries  

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

Cart Sign In/Register Quick Data Search Help icon Go NASA Meatball Cart Sign In/Register Quick Data Search Help icon Go NASA Meatball No JAVASCRIPT Capabilities. This site will not function without JavaScript. Please use the Web Product Tree. or anonymous FTP at ftp://daac.ornl.gov/data. Global Leaf Area Index Data from Field Measurements, 1932-2000 References and summaries for literature on leaf area index (reviews, methodology, etc.) Barclay, H. J. (1998) Conversion of total leaf area to projcted leaf area in lodgepole pine and Douglas-fir. Tree PHysiology 18, 185-193. Summary It is noted that three distinct definitions of leaf area index (LAI) in the literature have no predictable relationship with each other. Conversion factors were derived, from total LAI to projected LAI of horizontal leaves and to projected LAI for inclined leaves of lodgepole pine and coastal Douglas-fir, enabling comparison of results from different studies. An algorithm was derived to allow determination of these factors based on twig angles and the angles that the foliage subtends with the twig. The conversion factor was more sensitive to differences in vertical angles of the twigs than to twig rotation or foliar arrangement on the twig.

263

Reference: Revised Tariff Sheet  

E-Print Network (OSTI)

Company (TrAILCo), a revised tariff sheet to correct the FERC Form No. 1 line reference in TrAILCo’s formula rate. Pursuant to the authority delegated to the Director, Division of Electric Power Regulation- East, under 18 C.F.R. § 375.307, your submittal filed in the above referenced docket is accepted for filing, effective May 17, 2010, as requested. 1 Notice of the filing was published in the Federal Register, with comments, protests, or interventions due on or before June 3, 2010. No protests or adverse comments were filed. American Municipal Power, Inc. and PJM Interconnection, LLC filed timely motions to intervene. Notices of intervention and unopposed timely filed motions to intervene are granted pursuant to Rule 214 of the Commission’s Rules of Practice and Procedure (18 C.F.R. § 385.214). Any opposed or untimely filed motion to intervene is governed by the provisions of Rule 214. This acceptance for filing shall not be construed as constituting approval of any rate, charge, classification or any rule, regulation, or practice affecting such rate or 1

Stephen Angle Esq; Dear Mr. Angle; Jignasa P. Gadani

2010-01-01T23:59:59.000Z

264

Sensor Characteristics Reference Guide  

Science Conference Proceedings (OSTI)

The Buildings Technologies Office (BTO), within the U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy (EERE), is initiating a new program in Sensor and Controls. The vision of this program is: • Buildings operating automatically and continuously at peak energy efficiency over their lifetimes and interoperating effectively with the electric power grid. • Buildings that are self-configuring, self-commissioning, self-learning, self-diagnosing, self-healing, and self-transacting to enable continuous peak performance. • Lower overall building operating costs and higher asset valuation. The overarching goal is to capture 30% energy savings by enhanced management of energy consuming assets and systems through development of cost-effective sensors and controls. One step in achieving this vision is the publication of this Sensor Characteristics Reference Guide. The purpose of the guide is to inform building owners and operators of the current status, capabilities, and limitations of sensor technologies. It is hoped that this guide will aid in the design and procurement process and result in successful implementation of building sensor and control systems. DOE will also use this guide to identify research priorities, develop future specifications for potential market adoption, and provide market clarity through unbiased information

Cree, Johnathan V.; Dansu, A.; Fuhr, P.; Lanzisera, Steven M.; McIntyre, T.; Muehleisen, Ralph T.; Starke, M.; Banerjee, Pranab; Kuruganti, T.; Castello, C.

2013-04-01T23:59:59.000Z

265

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

266

Radioactivity Standard Reference Material Program  

Science Conference Proceedings (OSTI)

... Summary: The Standard Reference Materials Program of the National Institute of Standards and Technology (NIST) provides science, industry, and ...

2013-03-27T23:59:59.000Z

267

Chemistry Standard Reference Materials Portal  

Science Conference Proceedings (OSTI)

... Bombings. photo of Gulf of Mexico crude oil SRM NIST Releases Gulf of Mexico Crude Oil Reference Material. canine officer ...

2013-09-19T23:59:59.000Z

268

NIST Standard Reference Database 23  

Science Conference Proceedings (OSTI)

... 6 Sample MATLAB Code.....53 B ... the IIR and ASHRAE reference states ... in slightly different values than ...

2011-01-03T23:59:59.000Z

269

Molecular diagnostics: harmonization through reference ...  

Science Conference Proceedings (OSTI)

... GeT-RM: Genetic Testing Reference Materials Coordination Program; HSS: Department of Health and Human Services; IRMM: Institute for ...

2012-10-09T23:59:59.000Z

270

Energy and American Society : a Reference Handbook  

E-Print Network (OSTI)

American Society: A Reference Handbook By E. Willard MillerSOCIETY: A REFERENCE HANDBOOK (Contemporary World IssuesSOCIETY: A REFERENCE HANDBOOK is an important reference work

Li, Haipeng

1996-01-01T23:59:59.000Z

271

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

E-Print Network (OSTI)

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

272

Category:Geothermal References | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:Geothermal References Jump to: navigation, search Add a new Reference Pages in category "Geothermal References" The following 200 pages are in this category, out of 323 total. (previous 200) (next 200) 2 2-D Magnetotellurics At The Geothermal Site At Soultz-Sous-Forets- Resistivity Distribution To About 3000 M Depth 2007 Annual Report A A Case History of Injection Through 1991 at Dixie Valley, Nevada A Coordinated Exploration Program for Geothermal Sources on the Island of Hawaii A geochemical model of the Kilauea east rift zone A model for the shallow thermal regime at Dixie Valley geothermal field

273

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).

274

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).

275

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

276

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.

277

Capillary reference half-cell  

DOE Patents (OSTI)

The present invention is a reference half-cell electrode wherein intermingling of test fluid with reference fluid does not affect the performance of the reference half-cell over a long time. This intermingling reference half-cell may be used as a single or double junction submersible or surface reference electrode. The intermingling reference half-cell relies on a capillary tube having a first end open to reference fluid and a second end open to test fluid wherein the small diameter of the capillary tube limits free motion of fluid within the capillary to diffusion. The electrode is placed near the first end of the capillary in contact with the reference fluid. The method of operation of the present invention begins with filling the capillary tube with a reference solution. After closing the first end of the capillary, the capillary tube may be fully submerged or partially submerged with the second open end inserted into test fluid. Since the electrode is placed near the first end of the capillary, and since the test fluid may intermingle with the reference fluid through the second open end only by diffusion, this intermingling capillary reference half-cell provides a stable voltage potential for long time periods. 11 figs.

Hall, S.H.

1996-02-13T23:59:59.000Z

278

reference | OpenEI Community  

Open Energy Info (EERE)

98 98 Varnish cache server Home Groups Community Central Green Button Applications Developer Utility Rate FRED: FRee Energy Database More Public Groups Private Groups Features Groups Blog posts Content Stream Documents Discussions Polls Q & A Events Notices My stuff Energy blogs 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142235098 Varnish cache server reference Home Jweers's picture Submitted by Jweers(83) Contributor 7 August, 2013 - 18:23 New Robust References! citation citing developer formatting reference Semantic Mediawiki wiki Check out the new Reference Form. Adding a reference object to OpenEI using this form is the most complete way to cite a reference. After providing the name of your reference, the form will ask for your document

279

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

Science Conference Proceedings (OSTI)

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

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

1999-06-01T23:59:59.000Z

280

Annual Energy Outlook 2006 with Projections to 2030 - Reference...  

Annual Energy Outlook 2012 (EIA)

Year-by-Year Reference Case Tables (2003-2030) Annual Energy Outlook 2006 with Projections to 2030 To view or print in PDF format, Adobe Acrobat Reader 6.0 MS Excel Viewer...

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


281

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.

282

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

283

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

284

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

285

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

286

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.

287

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

288

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

289

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

290

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.

291

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

292

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

Science Conference Proceedings (OSTI)

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

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

2008-08-01T23:59:59.000Z

293

Tips: References | Department of Energy  

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

References References Tips: References April 11, 2012 - 9:03am Addthis Tips: References The following resources were used to develop the Energy Savers Guide: Tips on Saving Money and Energy at Home: Alternative Fuels and Advanced Vehicles Data Center American Council for an Energy-Efficient Economy Cool Roof Rating Council Database of State Incentives for Renewables & Efficiency (DSIRE) DOE Building America DOE Building Technologies Program DOE Building Technologies Program, 2010 Buildings Energy Databook DOE Energy Information Administration Residential Energy Consumption Survey DOE/EPA Fuel Economy Guide DOE Federal Energy Management Program DOE Office of Electricity Delivery and Energy Reliability ENERGY STAR® Green Roofs for Healthy Cities National Renewable Energy Laboratory

294

Chemistry Standard Reference Data Portal  

Science Conference Proceedings (OSTI)

... photo of Gulf of Mexico crude oil SRM NIST Releases Gulf of Mexico Crude Oil Reference Material. 11MML036_nanotubes_srm_CS ...

2013-09-19T23:59:59.000Z

295

References | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog References Home > About Us > Our Programs > Nuclear Security > Nuclear Materials Management &...

296

FAQS Reference Guide – Facility Representative  

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

This reference guide addresses the competency statements in the October 2010 edition of DOE-STD-1151-2010, Facility Representative Functional Area Qualification Standard.

297

FAQS Reference Guide – Criticality Safety  

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

This reference guide addresses the competency statements in the April 2009 edition of DOE-STD-1173-2009, Criticality Safety Functional Area Qualification Standard.

298

OpenEI - Technical Reference  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm8710 en Technical Reference and Technical Database for Hydrogen Compatibility of Materials http:en.openei.orgdatasetsnode927...

299

FAQS Reference Guide- Chemical Processing  

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

This reference guide addresses the competency statements in the February 2010 edition of DOE-STD-1176-2010, Chemical Processing Functional Area Qualification Standard.

300

FAQS Reference Guide – Waste Management  

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

This reference guide addresses the competency statements in the January 2003 edition of DOE-STD-1159-2003, Waste Management Functional Area Qualification Standard.

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


301

FAQS Reference Guide – Environmental Restoration  

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

This reference guide addresses the competency statements in the November 2002 edition of DOE-STD-1157-2002, Environmental Restoration Functional Area Qualification Standard.

302

FAQS Reference Guide – Environmental Compliance  

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

This reference guide addresses the competency statements in the June 2011 edition of DOE-STD-1156-2011, Environmental Compliance Functional Area Qualification Standard.

303

SAPHIRE 8 Volume 2 - Technical Reference  

Science Conference Proceedings (OSTI)

The Systems Analysis Programs for Hands-on Integrated Reliability Evaluations (SAPHIRE) refers to a set of computer programs that were developed to create and analyze probabilistic risk assessment (PRAs). Herein information is provided on the principles used in the construction and operation of Version 8.0 of the SAPHIRE system. This report summarizes the fundamental mathematical concepts of sets and logic, fault trees, and probability. This volume then describes the algorithms used to construct a fault tree and to obtain the minimal cut sets. It gives the formulas used to obtain the probability of the top event from the minimal cut sets, and the formulas for probabilities that apply for various assumptions concerning reparability and mission time. It defines the measures of basic event importance that SAPHIRE can calculate. This volume gives an overview of uncertainty analysis using simple Monte Carlo sampling or Latin Hypercube sampling, and states the algorithms used by this program to generate random basic event probabilities from various distributions. Also covered are enhance capabilities such as seismic analysis, Workspace algorithms, cut set "recovery," end state manipulation, and use of "compound events."

C. L. Smith; S. T. Wood; W. J. Galyean; J. A. Schroeder; M. B. Sattison

2011-03-01T23:59:59.000Z

304

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

305

Standard assumptions and methods for solar heating and cooling systems analysis  

DOE Green Energy (OSTI)

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

Leboeuf, C.M.

1980-01-01T23:59:59.000Z

306

NETL: Coal & Power Systems Reference Shelf  

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

Reference Shelf Coal & Power Systems Reference Shelf Below are links to recent Strategic Center for Coal (SCC) related documents and reference materials. Each technology area...

307

FAQS Reference Guide - Transportation and Traffic Management...  

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

FAQS Reference Guide - Transportation and Traffic Management FAQS Reference Guide - Transportation and Traffic Management This reference guide addresses the competency statements...

308

Reference:  

E-Print Network (OSTI)

Operator Corporation (CAISO), revised tariff sheets to define the circumstances under which Metered Subsystem resources can use its Reliability Must Run (RMR) units for load following purposes. 1 Specifically, the CAISO revised Section 4.9.13.2 (Load-Following or Non Load-Following Election) of the MRTU Tariff to reflect that an MSS Operator may designate RMR units as load following, and that load following RMR units must be available to the CAISO for dispatch up to the maximum net dependable capacity specified in the RMR contract. The CAISO tariff provides that if the CAISO does not dispatch an RMR load following resource for local reliability needs, the MSS Operator will have the opportunity to participate in the CAISO markets as any other non-RMR load following unit subject to Section 30.5.2.5 (Supply Bids for Metered Subsystems). The revised tariff sheets are accepted for filing to become effective upon implementation of MRTU. 2 1 Load following is typically defined as the use of generation to meet the hour-tohour and daily variations in system load. 2 On March 26, 2008, the Commission issued an order granting the CAISO’s motion to modify the effective date of the MRTU Tariff based on a representation that due to delays in the implementation of MRTU, the March 31, 2008 effective20080612-3013 FERC PDF (Unofficial) 06/12/2008 Docket No. ER06-615-014-2-This filing was noticed on October 10, 2007, with comments, protests, or motions

Bird Llp; Bradley R. Miliauskas

2008-01-01T23:59:59.000Z

309

References  

Science Conference Proceedings (OSTI)

... LIBES96. Don Libes, Writing CGI Scripts in Tcl, Proceedings of Tcl/Tk Workshop 96, Monterey, CA, July 10-13, 1996. LUB95. ...

310

References  

Science Conference Proceedings (OSTI)

... LIBES. Don Libes, Writing CGI Scripts in Tcl, Proceedings of Tcl/Tk Workshop 96, Monterey, CA, July 10-13, 1996. URL: http://www.nist.gov/msid. ...

311

References  

Science Conference Proceedings (OSTI)

..., ASM International, 2009, p 625â??658ASM Handbook, Vol 22A, Fundamentals of Modeling for Metals ProcessingHeat-Transfer Equations,...

312

References  

E-Print Network (OSTI)

Los algoritmos evolutivos (AE) son técnicas de optimización basadas en los principios de evolución natural [7]. Aunque los AEs han sido utilizados en solucionar muchos problemas de optimización de manera exitosa, el rendimiento de ellos (medido en tiempo consumido y calidad de la solución producida) depende de la selección adecuada de los parámetros del AE: Operadores genéticos, probabilidades de aplicación de los mismos, tamaño de la población, esquema de selección, etc. Es mas, el proceso de jar tales parámetros es considerado un proceso que consume mucho tiempo [10]. Tomando en cuenta la importancia de este proceso, muchos trabajos de investigación han tratado de manejarlo de diversas maneras [4]. Algunos trabajos han tratado de determinar el valor apropiado de dichos parámetros mediante experimentación extensiva de los mismos en la solución de un conjunto de funciones previamente prede nido [3, 11], o mediante un análisis teórico [5, 1, 9]. Otro conjunto de trabajos, llamados Adaptación de Parámetros (AP), han tratado de eliminar el proceso de selección de parámetros mediante la adaptación de los mismos al tiempo que el algoritmo evolutivo esta siendo ejecutado [2, 8, 13, 9, 12, 6]. En este proyecto se plantea una solución al problema de jar los parámetros mediante técnicas de auto adaptación de parámetros (Meta-evolución). Con tal n, se pretende extender el Algoritmo Evolutivo de Auto Adaptación Híbrida (HAEA por sus siglas en ingles) propuesto por Gomez en [6], de tal manera que no solamente adapte las probabilidades de los operadores genéticos sino los siguientes parámetros: Tamaño de población, mecanismos de selección y operadores genéticos.

Definición Del Problema; A. E. Eiben; R. Hinterding

2007-01-01T23:59:59.000Z

313

References  

E-Print Network (OSTI)

Application An approved SLAC Energized Electrical Work Request and Approval Permit (EEW) is required for all work at SLAC where the work includes assembly, disassembly, or re-arrangement of components while they are energized. Work below 50 volts, as well as testing, troubleshooting, and voltage measuring, are exempt from the required permit per National Fire Protection Association (NFPA) 70E 2004 Edition, Article 130.1(A)(3), provided that adequate work practices and personal protective equipment are used.

unknown authors

2005-01-01T23:59:59.000Z

314

References  

E-Print Network (OSTI)

Nowadays, lots of solar panels are installed. A major disadvantage of normal Si-based solar cells is that if one solar cell is shaded, the total energy produced by the string of solar cells is lost. Reducing the efficiency of the total system. In resent years, a new technology has been introduced, using thin film solar cells integrated into roofing. Although partial shading doesn't affect this technique as much as Si-based solar cells, the shaded solar cells do not contribute to the energy production. Some years ago a special kind of robot has been developed that automatically mows the lawn. The goal of this thesis is to build an automatic solar panel cleaning robot using a “robomow ” or other robotic vehicle. This robot has to be adapted for use on solar panels, and of course, has its own solar

unknown authors

2007-01-01T23:59:59.000Z

315

References  

E-Print Network (OSTI)

Contribution of residential wood combustion to hourly winter aerosol in Northern Sweden determined by positive matrix factorization

P. Krecl; E. Hedberg Larsson; J. Ström; C. Johansson; Wood Combustion

2008-01-01T23:59:59.000Z

316

References  

Science Conference Proceedings (OSTI)

... Edwards (eds.). 1995. SEER Cancer Statistics Review, 1973-1992: Tables and Graphs. NIH Publication No. 96-2789. Bethesda ...

1998-08-17T23:59:59.000Z

317

References  

E-Print Network (OSTI)

Why are estimates of global isoprene emissions so similar (and why is this not so for monoterpenes)?

A. Arneth; R. K. Monson; G. Schurgers; Ü. Niinemets; P. I. Palmer

2008-01-01T23:59:59.000Z

318

References  

Science Conference Proceedings (OSTI)

... Histogram Imaging", Analytical Chemistry 63(4 ... A. (1982) FUNDAMENTALS OF INTERACTIVE ... THE IMAGE PROCESSING HANDBOOK, CRC Press ...

319

References  

Science Conference Proceedings (OSTI)

... 1951) 3277-3278. [24] 'CRC Handbook of Chemistry and Physics' (CRC Press, Boca Raton, FL, 1987). [25] Thomas, JJ ...

2006-06-15T23:59:59.000Z

320

References  

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

problem. In: The Second Annual International Conference on Computational Molecular Biology, (Istrail, S, Pevzner, P, Waterman, M, eds) pp. 285-292. ACM New York. Y. Xu, D. Xu,...

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


321

References  

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

Gene-Specific Fragments for Microarrays. In "Currents in Computational Molecular Biology", edited by S. Miyano, R. Shamir and T. Takagi. Universal Academy Press, Inc. Tokyo,...

322

References  

E-Print Network (OSTI)

In analyzing the ACS photometry of the primary WD stars, Bohlin & Gilliland (2004) found a 2.5 % contribution to the predicted integrated HRC count rates due to the F660N filter transmission rise at the shortest wavelength of the tabulation. Following discussions with G. Hartig, the tabulated value of 0.00604 at 2500 Å was deemed a spurious artifact of the measurement procedure (Leviton et al. 1998a, Leviton et al. 1998b). The ACS filters generally use colored glass substrates to block short wavelengths and are not subject to the kind of UV leak that is indicated by the original data supplied by the IDT. The signal transmitted by the filter at 2500 Å in the lab measurement process was probably dominated by stray light from longer wavelengths. Even though for normal stellar continua, similar errors for other filters are less than 0.5 % of the predicted count rate, all UV transmittance curves with a similar suspicious rise in the UV are corrected to values typical of the nearest measured values. Table 1 lists all of the changes that are implemented in Synphot as a result of this investigation. These changes are also reflected in the ETC

F. R. Boffi; R. C. Bohlin

2004-01-01T23:59:59.000Z

323

References  

Science Conference Proceedings (OSTI)

... EN, Nagy, G., and Franklin, WR, 'Cracking, Damage, and Fracture in Four ... 05, 'Test Method for the Chemical Shrinkage of Hydraulic Cement Paste ...

2006-08-08T23:59:59.000Z

324

References  

U.S. Energy Information Administration (EIA)

Energy Statistics, ... 8 Elisson, H, and Elvers, E (2001), “Cut-off sampling and estimation,” Statistics Canada International Symposium Series – Proce ...

325

References  

E-Print Network (OSTI)

continuous speech recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-5(2), March 1983. [6] Doug Beeferman, Adam Berger, and John Lafferty. A model of lexical

Steven Abney Functional Elements; Licensing Presented To Glow; J. Bach; T. C. Bell; I. H. Witten; J. L. Bentley; D. D. Sleator; R. E. Tarjan

1989-01-01T23:59:59.000Z

326

Technical Reference | OpenEI  

Open Energy Info (EERE)

Reference Reference Dataset Summary Description Technical Reference for Hydrogen Compatibility of Materials Source Sandia National Laboratories Date Released June 03rd, 2010 (4 years ago) Date Updated September 27th, 2012 (2 years ago) Keywords Compatibility of Materials hydrogen NREL Sandia Technical Database Technical Reference Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon 1100_cia85_ten_fra_fat.xlsx (xlsx, 60.9 KiB) application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon 1100_san10_fra_fat.xlsx (xlsx, 58.5 KiB) application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon 1100_san10b_fra_fat.xlsx (xlsx, 59.4 KiB) application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon 1100_san11_fra_fat.xlsx (xlsx, 48.4 KiB)

327

NETL: Carbon Storage - Reference Shelf  

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

Carbon Storage > Reference Shelf Carbon Storage > Reference Shelf Carbon Storage Reference Shelf Below are links to Carbon Storage Program documents and reference materials. Each of the 10 categories has a variety of documents posted for easy access to current information - just click on the category link to view all related materials. RSS Icon Subscribe to the Carbon Storage RSS Feed. Carbon Storage Collage 2012 Carbon Utilization and Storage Atlas IV Carbon Sequestration Project Portfolio DOE/NETL Carbon Dioxide Capture and Storage RD&D Roadmap Public Outreach and Education for Carbon Storage Projects Carbon Storage Technology Program Plan Carbon Storage Newsletter Archive Impact of the Marcellus Shale Gas Play on Current and Future CCS Activities Site Screening, Selection, and Initial Characterization for Storage of CO2 in Deep Geologic Formations Carbon Storage Systems and Well Management Activities Monitoring, Verification, and Accounting of CO2 Stored in Deep Geologic Formations

328

Learning to resolve bridging references  

Science Conference Proceedings (OSTI)

We use machine learning techniques to find the best combination of local focus and lexical distance features for identifying the anchor of mereological bridging references. We find that using first mention, utterance distance, and lexical distance computed ...

Massimo Poesio; Rahul Mehta; Axel Maroudas; Janet Hitzeman

2004-07-01T23:59:59.000Z

329

FAQS Reference Guide –Radiation Protection  

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

This reference guide has been developed to address the competency statements in the December 2003 edition of DOE-STD-1174-2003, Radiation Protection Functional Area Qualification Standard.

330

Tips: References | Department of Energy  

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

Tips: References Tips: References Tips: References April 11, 2012 - 9:03am Addthis Tips: References The following resources were used to develop the Energy Savers Guide: Tips on Saving Money and Energy at Home: Alternative Fuels and Advanced Vehicles Data Center American Council for an Energy-Efficient Economy Cool Roof Rating Council Database of State Incentives for Renewables & Efficiency (DSIRE) DOE Building America DOE Building Technologies Program DOE Building Technologies Program, 2010 Buildings Energy Databook DOE Energy Information Administration Residential Energy Consumption Survey DOE/EPA Fuel Economy Guide DOE Federal Energy Management Program DOE Office of Electricity Delivery and Energy Reliability ENERGY STAR® Green Roofs for Healthy Cities National Renewable Energy Laboratory

331

Framework for energy policy and technology assessment in developing countries: a case study of Peru  

DOE Green Energy (OSTI)

The potential of various energy sources and technology options in meeting national economic and social development goals in developing countries is assessed. The resource options that are of interest are the development of indigenous resources. In general, two categories of options can be considered: those which correspond to the accelerated implementation of existing elements of the energy system and those which correspond to the introduction of a new technology, such as solar electricity. The various resource and technology options that must be analyzed with respect to a number of criteria or payoff functions are: total demand and fuel mix; reduction of oil consumption; national social goals; total energy costs; and environmental quality. First, a view is constructed of the energy implications of current national economic development plans. A consistent description of the future energy system of the country, under the assumption of current trends and policies is constructed for certain reference years in the future. The values of the payoff functions selected are then calculated for that reference case. The major resource and technology options are identified and the rates at which they can be implemented are determined. Finally, the impact on the various payoff functions of the implementation of each option is calculated. The basic element of the framework is the Reference Energy System, discussed in Secton 3. The energy policy analysis for Peru is used as a reference case. 11 references, 10 figures, 2 tables.

Mubayi, V.; Palmedo, P.F.; Doernberg, A.B.

1979-12-01T23:59:59.000Z

332

Ris Energy Report 6 References Reference list for Chapter 3  

E-Print Network (OSTI)

. (2007). Lessons learned from recent promotion strategies for electricity from renewables in EU countries. Report on progress in renewable electricity. Brussels. (Com(2006) 849 final). 6. Danish Energy authority. References for Chapter 5 1. Brahic, C. (2007). Europe postpones decision on car emissions. New

333

Document Number Q0029500 References  

Office of Legacy Management (LM)

References References 7.0 References 10 CFR 1021. U.S. Department of Energy, "National Environmental Policy Act Implementing Procedures," Code of Federal Regzilations, January 1,2003. 10 CFR 1022. U.S. Department of Energy, "Compliance with Floodplain/Wetlands Environmental Review Requirements," Code ofFederal Regulations, January 1,2003. 33 CFR 323. Corps of Engineers, Department of the Army, "Permits for Discharges of Dredged or Fill Material Into Waters of the United States," Code ofFederal Reglllations, July 1,2002. 40 CFR 192. U.S. Environmental Protection Agency, "Health and Environmental Protection Standards for Uranium and Thorium Mill Tailings," Code of FederalReglrlations, July 1,2002. 40 CFR 230. U.S. Environmental Protection Agency, "Section 404(b)(l) Guidelines for

334

Microsoft Word - references.doc  

Office of Legacy Management (LM)

References May 2005 References May 2005 2004 Site Environmental Report R-1 References Facemire, D. F., S. I. Guttman, D. R. Osborne, and R. H. Sperger, 1990, "Biological and Ecological Site Characterization of the Feed Materials Production Center," FMPC-SUB 018, prepared for Westinghouse Materials Co. of Ohio, Cincinnati, OH. GeoSyntec, 1996, "Impacted Material Placement Plan, On-site Disposal Facility," 20100-PL-007, Revision 3, PCN 2, Prepared for the Fernald Environmental Management Project, DOE, Fernald Area Office, Cincinnati, OH, March. International Commission on Radiological Protection (ICRP), 1994a, "Human Respiratory Tract Model for Radiation Protection," ICRP Publication 66. International Commission on Radiological Protection (ICRP), 1994b, "Protection Against Radon-222

335

Chassis Dynamometer Testing Reference Document  

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

Chassis Dynamometer Testing Chassis Dynamometer Testing Reference Document Downloadable Dynamometer Database www.transportation.anl.gov/D3/ Argonne, IL July, 2013 Henning Lohse-Busch, Ph.D. Kevin Stutenberg, Mike Duoba, Eric Rask, Forrest Jehlik and Glenn Keller Advanced Powertrain Research Facility Overview  This is a reference document explaining the facility and processes used to generate the data available from Argonne National Laboratory's (ANL) Downloadable Dynamometer Database (D 3 ).  Content - Advanced Powertrain Research Facility (APRF) - Chassis Dynamometer Testing Basics - Overview of Classic Drive Cycles - Test Condition and Test Sequences - Data Acquisition System and General Instrumentation Overview

336

Sensors and Controls Characteristics Reference Guide Research Project |  

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

Sensors and Controls Characteristics Sensors and Controls Characteristics Reference Guide Research Project Sensors and Controls Characteristics Reference Guide Research Project The U.S. Department of Energy (DOE) is currently conducting research into a reference guide about building sensors and controls characteristics. Project Description This project seeks to develop a Sensors and Controls Characteristics Reference Guide through a series of market engagements with building researchers, manufacturers, and users. When completed, the reference will serve as a guide to develop and deploy low-cost sensor systems defined by high-value case studies, as well as develop and deploy a "controls" open-source platform that enables validation and adoption of algorithms. Project Partners Research is being undertaken by DOE, Pacific Northwest National Laboratory,

337

GENERAL TECHNICAL BASELINE QUALIFICATION STANDARD SUGGESTED STUDY REFERENCES  

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

Baseline Qualification Standard Suggested Study References Baseline Qualification Standard Suggested Study References 2007 revision This list provides suggested study references for the technical competencies of the General Technical Base Qualification Standard (DOE STD 1146-2007). More comprehensive resources are available through the DOE Online Learning Center's training courses and the study guides available through the Federal Technical Capability Panel web site. The Uniform Resource Locaters for these sites are listed in the Standard. This list is arranged by Technical Competency, followed by the suggested reference source. Some competencies deal directly with DOE or Federal directives, and they are also the reference. In a few cases, the Study Guide is the only concise source, and appropriate sections are listed.

338

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

339

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

SciTech Connect

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

Arthur S. Rood; Swen O. Magnuson

2009-07-01T23:59:59.000Z

340

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

SciTech Connect

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

Walsh, Stephen J.; Whitney, Paul D.

2012-12-14T23:59:59.000Z

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


341

Underground Transmission Systems Reference Book  

Science Conference Proceedings (OSTI)

The Underground Transmission Systems Reference Book covers all stages of cable system design and operation, from initial planning studies to failure analysis. It contains contributions from many of the industry's experts and represents practices from all parts of the United States.

1993-03-01T23:59:59.000Z

342

The HOL Light System REFERENCE  

E-Print Network (OSTI)

This volume is the reference manual for the HOL Light system. In contrast to the Tutorial, it is mainly intended for reference purposes, though some readers will find it productive to browse through it as part of the learning process. The main entries for the reference manual are generated from the same database that is used by the online HOL Light help system. The entries that follow provide documentation on essentially all the pre-defined ML variable bindings in the HOL Light system. These include: general-purpose functions, such as ML functions for list processing, arithmetic, input/output, and interface configuration; functions for processing the types and terms of the HOL logic and for using the subgoal package; primitive and derived forward inference rules; tactics and tacticals; and pre-proved built-in theorems. The manual entries for these ML identifiers are divided into two chapters. The first chapter is an alphabetical sequence of manual entries for all ML identifiers in the system except those identifiers that are bound to theorems (or pairs of theorems, etc.) The theorems are listed in the second chapter, roughly grouped into sections based on subject matter. Our documentation does not cover basic functions in the OCaml toplevel, such as addition, string concatenation etc. In fact, relatively few native OCaml functions are used, and those are all documented in the Objective CAML Reference Manual:

Tom Melham; Larry Paulson The Typeset

2013-01-01T23:59:59.000Z

343

Clean Cities: Clean Cities Reference Materials  

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

Reference Materials to Reference Materials to someone by E-mail Share Clean Cities: Clean Cities Reference Materials on Facebook Tweet about Clean Cities: Clean Cities Reference Materials on Twitter Bookmark Clean Cities: Clean Cities Reference Materials on Google Bookmark Clean Cities: Clean Cities Reference Materials on Delicious Rank Clean Cities: Clean Cities Reference Materials on Digg Find More places to share Clean Cities: Clean Cities Reference Materials on AddThis.com... Coordinator Basics Clean Cities Program Structure Reference Materials Technical Support Fundraising Redesignation Outreach Education & Webinars Meetings Reporting Contacts Clean Cities Reference Materials Use these reference materials-including quick-reference documents, publications, websites, and the Clean Cities Coalition Wiki-to develop

344

Annual Energy Outlook 2013 Early Release Reference Case  

Gasoline and Diesel Fuel Update (EIA)

Flex-Fuel Vehicle Modeling in the Flex-Fuel Vehicle Modeling in the Annual Energy Outlook John Maples Office of Energy Consumption and Energy Analysis March 20, 2013 | Washington, DC Light duty vehicle technology and alternative fuel market penetration 2 * Technologies affecting light-duty vehicle fuel economy are considered as either: - subsystem technologies (transmissions, materials, turbo charging) - advanced/alternative fuel vehicles (hybrids, EVs, FFVs) * Manufacturers Technology Choice Component (MTCC) - 9 manufacturers, 16 vehicle types, 6 size classes - adopts vehicle subsystem technologies for all vehicle types (conventional gasoline, FFV, hybrid, diesel, etc.) based on value of fuel economy and/or performance improvement * Consumer Vehicle Choice Component (CVCC)

345

Annual Energy Outlook 2013 Early Release Reference Case  

Gasoline and Diesel Fuel Update (EIA)

International Monetary Fund International Monetary Fund January 14, 2013 | Washington, DC By Adam Sieminski, Administrator Annual Energy Outlook 2013 projections to 2040 2 * Growth in energy production outstrips consumption growth * Crude oil production rises sharply over the next decade * Motor gasoline consumption reflects more stringent fuel economy standards * The U.S. becomes a net exporter of natural gas in the early 2020s * U.S. energy-related carbon dioxide emissions remain below their 2005 level through 2040 Adam Sieminski January 14, 2013 Growth in energy production outstrips growth in consumption leading to reduction in net imports 3 U.S. energy production and consumption quadrillion Btu Source: EIA, Annual Energy Outlook 2013 Early Release

346

Annual Energy Outlook 2013 Early Release Reference Case  

Gasoline and Diesel Fuel Update (EIA)

3 3 Future of U.S. Domestic Oil and Gas Production For International Energy Forum January 21, 2013 | Riyadh, KSA By Adam Sieminski, Administrator Annual Energy Outlook 2013 projections to 2040 2 * Growth in energy production outstrips consumption growth * Crude oil production rises sharply over the next decade * Motor gasoline consumption reflects more stringent fuel economy standards * The U.S. becomes a net exporter of natural gas in the early 2020s * U.S. energy-related carbon dioxide emissions remain below their 2005 level through 2040 Adam Sieminski January 21, 2013 Growth in energy production outstrips growth in consumption leading to reduction in net imports 3 U.S. energy production and consumption quadrillion Btu

347

An Updated Anual Energy Outlook 2009 Reference Case  

U.S. Energy Information Administration (EIA)

Plug-in Hybrid and Electric Vehicle Tax Credits ARRA contains several changes to the plug-in hybrid electric vehicle (P HEV) t ax credit

348

Annual Energy Outlook 2013 Early Release Reference Case  

U.S. Energy Information Administration (EIA)

Net petroleum and biofuel imports . 17% . 7% . 37% . 38% . 5% . 45% . 38% . 12% . Liquids from natural gas and coal . 1% . 2011 . Adam Sieminski

349

Annual Energy Outlook 2013 Early Release Reference Case  

U.S. Energy Information Administration (EIA)

Natural Gas-to-Liquids Heat and Power 5/ Natural Gas to Liquids Production 6/ Electric Power 7/ Transportation 8/ Pipeline Fuel. Lease and Plant Fuel 9/ Total ...

350

Annual Energy Outlook 2013 Early Release Reference Case  

U.S. Energy Information Administration (EIA)

... 2013 U.S. maximum production level of 9.6 million barrels per day in 1970 Transportation sector ... 2013 Freight trucks Buses Freight rail and ...

351

Annual Energy Outlook 2013 Early Release Reference Case  

U.S. Energy Information Administration (EIA)

Morgan Stanley Global Commodities Conference ... Independent Statistics & Analysis www.eia.gov U.S ... 1980 1980 1980 1980 1981 1981 1981 1981 ...

352

NETL: Reference Shelf - Techline Archive  

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

NETL Oil & Natural Gas Technologies Reference Shelf NETL Oil & Natural Gas Technologies Reference Shelf Archive Reports 2012: December, 2012 Final Project Report DE-NT0006554 GIS- and Web-based Water Resource Geospatial Infrastructure for Oil Shale Development [PDF-14.6MB] November, 2012 Final Project Report 08121-2902-02 Technologies of the Future for Pipeline Monitoring and Inspection [PDF-2.47MB] November, 2012 Final Project Report 07122-22 Petrophysical Studies of Unconventional Gas Reservoirs Using High-resolution Rock Imaging [PDF-27.7MB] November, 2012 Final Project Report 08122-35 The Environmentally Friendly Drilling Systems Program [PDF-4.33] October, 2012 Final Project Report DE-FE0003537 Next Generation Surfactants for Improved Chemical Flooding Technology [PDF-1.91MB] October, 2012 Final Project Report 08123-02 Field Demonstration of Alkaline Surfactant Polymer Floods in Mature Oil Reservoirs Brookshire Dome, Texas [PDF-5.06MB]

353

The Consumption of Reference Resources  

E-Print Network (OSTI)

Under the operational restriction of the U(1)-superselection rule, states that contain coherences between eigenstates of particle number constitute a resource. Such resources can be used to facilitate operations upon systems that otherwise cannot be performed. However, the process of doing this consumes reference resources. We show this explicitly for an example of a unitary operation that is forbidden by the U(1)-superselection rule.

G. A. White; J. A. Vaccaro; H. M. Wiseman

2008-11-22T23:59:59.000Z

354

HANFORD WASTE MINERALOGY REFERENCE REPORT  

Science Conference Proceedings (OSTI)

This report lists the observed mineral phases present in the Hanford tanks. This task was accomplished by performing a review of numerous reports that used experimental techniques including, but not limited to: x-ray diffraction, polarized light microscopy, scanning electron microscopy, transmission electron microscopy, energy dispersive spectroscopy, electron energy loss spectroscopy, and particle size distribution analyses. This report contains tables that can be used as a quick reference to identify the crystal phases observed in Hanford waste.

DISSELKAMP RS

2010-06-29T23:59:59.000Z

355

HANFORD WASTE MINEROLOGY REFERENCE REPORT  

Science Conference Proceedings (OSTI)

This report lists the observed mineral phase phases present in the Hanford tanks. This task was accomplished by performing a review of numerous reports using experimental techniques including, but not limited to: x-ray diffraction, polarized light microscopy, scanning electron microscopy, transmission electron microscopy, energy dispersive spectroscopy, electron energy loss spectroscopy, and particle size distribution analyses. This report contains tables that can be used as a quick reference to identify the crystal phases present observed in Hanford waste.

DISSELKAMP RS

2010-06-18T23:59:59.000Z

356

Figure 59. Commercial delivered energy intensity in four cases ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 59. Commercial delivered energy intensity in four cases, 2005-2040 (index, 2005 = 1) Reference case 2011 Technology case

357

Expanded standards and codes case limits combined buildings delivered energy to 21 quadrillion Btu by 2035  

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

Erin Boedecker, Session Moderator Erin Boedecker, Session Moderator April 27, 2011 | Washington, DC Energy Demand. Efficiency, and Consumer Behavior 16 17 18 19 20 21 22 23 24 25 2005 2010 2015 2020 2025 2030 2035 2010 Technology Reference Expanded Standards Expanded Standards + Codes -7.6% ≈ 0 Expanded standards and codes case limits combined buildings delivered energy to 21 quadrillion Btu by 2035 2 Erin Boedecker, EIA Energy Conference, April 27, 2011 delivered energy quadrillion Btu Source: EIA, Annual Energy Outlook 2011 -4.8% 16 17 18 19 20 21 22 23 24 25 2005 2010 2015 2020 2025 2030 2035 2010 Technology Reference High Technology High technology assumptions with more efficient consumer behavior keep buildings energy to just over 20 quadrillion Btu 3 Erin Boedecker, EIA Energy Conference, April 27, 2011 delivered energy quadrillion Btu

358

International Energy Outlook - Chapter References  

Gasoline and Diesel Fuel Update (EIA)

Chapter References Chapter References International Energy Outlook 2004 Chapter References World Energy and Economic Outlook 1. D.F. Barnes et al., “Tackling the Rural Energy Problem in Developing Countries,” Finance & Development, Vol. 34, No. 2 (June 1997), pp. 11-15. 2. A. Kirby, “Russia’s Climate Tussle Spins On,” BBC News Online (December 4, 2003). 3. A.C. Revkin, “Into Thin Air: Kyoto Accord May Not Die (or Matter),” The New York Times (December 4, 2003), p. A6. 4. The White House, Office of the Press Secretary, “President Announces Clear Skies & Global Climate Change Initiatives” (Press Release, February 14, 2002), web site www.whitehouse.gov/news/ releases/2002/02/20020214-5.html. 5. Energy Information Administration, Annual Energy Outlook 2004, DOE/EIA-0383(2004) (Washington, DC, January 2004); and Global Insight, Inc., World Overview (Lexington, MA, September 2003). India’s GDP growth rates were adjusted downward, based on the judgment of EIA analysts.

359

Microgrid cyber security reference architecture.  

SciTech Connect

This document describes a microgrid cyber security reference architecture. First, we present a high-level concept of operations for a microgrid, including operational modes, necessary power actors, and the communication protocols typically employed. We then describe our motivation for designing a secure microgrid; in particular, we provide general network and industrial control system (ICS)-speci c vulnerabilities, a threat model, information assurance compliance concerns, and design criteria for a microgrid control system network. Our design approach addresses these concerns by segmenting the microgrid control system network into enclaves, grouping enclaves into functional domains, and describing actor communication using data exchange attributes. We describe cyber actors that can help mitigate potential vulnerabilities, in addition to performance bene ts and vulnerability mitigation that may be realized using this reference architecture. To illustrate our design approach, we present a notional a microgrid control system network implementation, including types of communica- tion occurring on that network, example data exchange attributes for actors in the network, an example of how the network can be segmented to create enclaves and functional domains, and how cyber actors can be used to enforce network segmentation and provide the neces- sary level of security. Finally, we describe areas of focus for the further development of the reference architecture.

Veitch, Cynthia K.; Henry, Jordan M.; Richardson, Bryan T.; Hart, Derek H.

2013-07-01T23:59:59.000Z

360

Building Technologies Office: Commercial Reference Buildings  

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

Commercial Reference Commercial Reference Buildings to someone by E-mail Share Building Technologies Office: Commercial Reference Buildings on Facebook Tweet about Building Technologies Office: Commercial Reference Buildings on Twitter Bookmark Building Technologies Office: Commercial Reference Buildings on Google Bookmark Building Technologies Office: Commercial Reference Buildings on Delicious Rank Building Technologies Office: Commercial Reference Buildings on Digg Find More places to share Building Technologies Office: Commercial Reference Buildings on AddThis.com... About Take Action to Save Energy Activities 179d Tax Calculator Advanced Energy Design Guides Advanced Energy Retrofit Guides Building Energy Data Exchange Specification Buildings Performance Database Data Centers Energy Asset Score

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


361

References and Notes for Astatine ( At )  

Science Conference Proceedings (OSTI)

... Version References and Notes for Astatine ( At ). Ref. ID, Reference, M64a, R. McLaughlin, J. Opt. Soc. Am. 54, 965 (1964).

362

FAQS Reference Guide - Transportation and Traffic Management...  

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

Transportation and Traffic Management FAQS Reference Guide - Transportation and Traffic Management This reference guide addresses the competency statements in the September 2002...

363

MHK Reference Model: Relevance to Computer Simulation  

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

July 9 th , 2012 SAND Number: 2012-5508P MHK Reference Model: Relevance to Computer Simulation Reference Model Partners Oregon State University NNMREC University of...

364

Category:Water References | Open Energy Information  

Open Energy Info (EERE)

Water References Jump to: navigation, search Pages in category "Water References" This category contains only the following page. A Assessment and Mapping of the Riverine...

365

Reference Inflow Characterization for River Resource Reference Model (RM2)  

DOE Green Energy (OSTI)

Sandia National Laboratory (SNL) is leading an effort to develop reference models for marine and hydrokinetic technologies and wave and current energy resources. This effort will allow the refinement of technology design tools, accurate estimates of a baseline levelized cost of energy (LCoE), and the identification of the main cost drivers that need to be addressed to achieve a competitive LCoE. As part of this effort, Oak Ridge National Laboratory was charged with examining and reporting reference river inflow characteristics for reference model 2 (RM2). Published turbulent flow data from large rivers, a water supply canal and laboratory flumes, are reviewed to determine the range of velocities, turbulence intensities and turbulent stresses acting on hydrokinetic technologies, and also to evaluate the validity of classical models that describe the depth variation of the time-mean velocity and turbulent normal Reynolds stresses. The classical models are found to generally perform well in describing river inflow characteristics. A potential challenge in river inflow characterization, however, is the high variability of depth and flow over the design life of a hydrokinetic device. This variation can have significant effects on the inflow mean velocity and turbulence intensity experienced by stationary and bottom mounted hydrokinetic energy conversion devices, which requires further investigation, but are expected to have minimal effects on surface mounted devices like the vertical axis turbine device designed for RM2. A simple methodology for obtaining an approximate inflow characterization for surface deployed devices is developed using the relation umax=(7/6)V where V is the bulk velocity and umax is assumed to be the near-surface velocity. The application of this expression is recommended for deriving the local inflow velocity acting on the energy extraction planes of the RM2 vertical axis rotors, where V=Q/A can be calculated given a USGS gage flow time-series and stage vs. cross-section area rating relationship.

Neary, Vincent S [ORNL

2011-12-01T23:59:59.000Z

366

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

Science Conference Proceedings (OSTI)

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

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

2008-11-01T23:59:59.000Z

367

Flawed Assumptions, Models and Decision Making: Misconceptions Concerning Human Elements in Complex System  

SciTech Connect

The history of high consequence accidents is rich with events wherein the actions, or inaction, of humans was critical to the sequence of events preceding the accident. Moreover, it has been reported that human error may contribute to 80% of accidents, if not more (dougherty and Fragola, 1988). Within the safety community, this reality is widely recognized and there is a substantially greater awareness of the human contribution to system safety today than has ever existed in the past. Despite these facts, and some measurable reduction in accident rates, when accidents do occur, there is a common lament. No matter how hard we try, we continue to have accidents. Accompanying this lament, there is often bewilderment expressed in statements such as, ''There's no explanation for why he/she did what they did''. It is believed that these statements are a symptom of inadequacies in how they think about humans and their role within technological systems. In particular, while there has never been a greater awareness of human factors, conceptual models of human involvement in engineered systems are often incomplete and in some cases, inaccurate.

FORSYTHE,JAMES C.; WENNER,CAREN A.

1999-11-03T23:59:59.000Z

368

No-Reference image quality assessment for facial images  

Science Conference Proceedings (OSTI)

Image quality assessment traditionally means the comparison of original image with its distorted version using conventional methods like Mean Square Error (MSE) or Peak Signal to Noise Ratio (PSNR). In case of Blind Quality Evaluation with no prior knowledge ... Keywords: contrast, eye visibility, image quality assessment, luminance, no-reference, noise, sharpness

Debalina Bhattacharjee; Surya Prakash; Phalguni Gupta

2011-08-01T23:59:59.000Z

369

Toward a business model reference for interoperability services  

Science Conference Proceedings (OSTI)

The importance of interoperability for businesses is undoubted. After an evolution from electronic data interchange to interoperability in electronic business and enterprise interoperability both the scientific and the practitioners' community are today ... Keywords: Business model, Case study, Design artifact, Enterprise interoperability, Interoperability service utilities, Reference model

Boris Otto, Verena Ebner, Ehsan Baghi, Ran M. Bittmann

2013-10-01T23:59:59.000Z

370

Emergency Responder Radioactive Material Quick Reference Sheet...  

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

Transportation Emergency Preparedness Program (TEPP) Emergency Responder Radioactive Material Quick Reference Sheet...

371

Subsurface Knowledge Reference Page | Department of Energy  

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

Subsurface Knowledge Reference Page Subsurface Knowledge Reference Page Subsurface Knowledge Reference Page The below listing provides additional references related to Subsurface & Groundwater Remediation. The references are categorized by documents types (e.g., Strategic Plans, Groundwater Plume Map Booklets, etc.) and under each "document type", there is a list of documents and/or hyperlinks to a reference. The Subsurface Knowledge Reference Page will continue to reflect additional information as it is identified. Strategic Plans Scientific Opportunities to Reduce Risk in Groundwater and Soil Remediation Scientific Opportunities for Monitoring at Environmental Remediation Sites (SOMERS) Groundwater Plume Map Booklets Groundwater Contamination and Treatment at Department of Energy Sites -

372

New Robust References! | OpenEI Community  

Open Energy Info (EERE)

New Robust References! New Robust References! Home > Groups > OpenEI Community Central Jweers's picture Submitted by Jweers(83) Contributor 7 August, 2013 - 18:23 citation citing developer formatting reference Semantic Mediawiki wiki Check out the new Reference Form. Adding a reference object to OpenEI using this form is the most complete way to cite a reference. After providing the name of your reference, the form will ask for your document type. Depending on what you choose, it will ask for the information necessary to build the proper MLA citation for the reference. This citation is then available semantically as a property of the reference and can be embedded in other pages! The Cite template was developed to help with this. You can site a reference by including {{Cite|Asimov's Story|I,_Robot}}, where I,_Robot

373

NETL: Gasification Systems Reference Shelf  

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

Shelf Shelf Gasification Systems Reference Shelf TABLE OF CONTENTS Brochures Conferences and Workshops Gasification Systems Projects National Map Gasification Systems Projects and Performers Gasification Systems Project Portfolio Gasifipedia Multi-phase Flow with Interphase eXchange (MFIX) Patents Program Presentations Project Information Projects Summary Table by State Solicitations Systems and Industry Analyses Studies Technical Presentations & Papers Technology Readiness Assessment (Comprehensive Report | Overview Report) Video, Images & Photos Gasification Plant Databases CD Icon Request Gasification Technologies Information on a CD. Gasification RSS Feed Subscribe to the Gasification RSS Feed to follow website updates. LinkedIn DOE Gasification Program Group Subscribe to the LinkedIn DOE Gasification Program group for more information and discussion.

374

The Nuclear Science References Database  

E-Print Network (OSTI)

The Nuclear Science References (NSR) database together with its associated Web interface, is the world's only comprehensive source of easily accessible low- and intermediate-energy nuclear physics bibliographic information for more than 210,000 articles since the beginning of nuclear science. The weekly-updated NSR database provides essential support for nuclear data evaluation, compilation and research activities. The principles of the database and Web application development and maintenance are described. Examples of nuclear structure, reaction and decay applications are specifically included. The complete NSR database is freely available at the websites of the National Nuclear Data Center http://www.nndc.bnl.gov/nsr and the International Atomic Energy Agency http://www-nds.iaea.org/nsr.

Pritychenko, B; Singh, B; Totans, J

2013-01-01T23:59:59.000Z

375

NUCLEAR SCIENCE REFERENCES CODING MANUAL  

Science Conference Proceedings (OSTI)

This manual is intended as a guide for Nuclear Science References (NSR) compilers. The basic conventions followed at the National Nuclear Data Center (NNDC), which are compatible with the maintenance and updating of and retrieval from the Nuclear Science References (NSR) file, are outlined. The NSR database originated at the Nuclear Data Project (NDP) at Oak Ridge National Laboratory as part of a project for systematic evaluation of nuclear structure data.1 Each entry in this computer file corresponds to a bibliographic reference that is uniquely identified by a Keynumber and is describable by a Topic and Keywords. It has been used since 1969 to produce bibliographic citations for evaluations published in Nuclear Data Sheets. Periodic additions to the file were published as the ''Recent References'' issues of Nuclear Data Sheets prior to 2005. In October 1980, the maintenance and updating of the NSR file became the responsibility of the NNDC at Brookhaven National Laboratory. The basic structure and contents of the NSR file remained unchanged during the transfer. In Chapter 2, the elements of the NSR file such as the valid record identifiers, record contents, and text fields are enumerated. Relevant comments regarding a new entry into the NSR file and assignment of a keynumber are also given in Chapter 2. In Chapter 3, the format for keyword abstracts is given followed by specific examples; for each TOPIC, the criteria for inclusion of an article as an entry into the NSR file as well as coding procedures are described. Authors preparing Keyword abstracts either to be published in a Journal (e.g., Nucl. Phys. A) or to be sent directly to NNDC (e.g., Phys. Rev. C) should follow the illustrations in Chapter 3. The scope of 1See W.B.Ewbank, ORNL-5397 (1978). the literature covered at the NNDC, the categorization into Primary and Secondary sources, etc., is discussed in Chapter 4. Useful information regarding permitted character sets, recommended abbreviations, etc., is given in the Appendices. The NSR database has been in existence for decades, and responsibility for its upkeep has passed through many hands. Those familiar with the contents of NSR will note that not all of the formats and conventions discussed in this manual have always been adhered to. In recent years, however, these conventions have been followed fairly consistently, and it is expected that the preparation of new entries will follow these guidelines. The most up-to-date information about NSR contents and policies can be found at the NSR web site: http://www.nndc.bnl.gov/nsr. This manual is an update to BNL-NCS-51800 (Rev. 08/96) by S. Ramavataram and C.L. Dunford. Discussions with Mark Kellett of the IAEA are gratefully acknowledged, as are comments and suggestions from the NNDC staff and members of the U.S. Nuclear Data Program. This manuscript has been authored by Brookhaven Science Associates, LLC under Contract No. DE-AC02-98CH1-886 with the U.S.Department of Energy.

WINCHELL,D.F.

2007-04-01T23:59:59.000Z

376

Generalized Error Analysis for Conventional and Remote Reference Magnetotellurics  

DOE Green Energy (OSTI)

An error analysis which applies to both conventional and remote reference magnetotelluric impedance and tipper estimates is developed based on the assumption that noise in the field measurements is governed by a complex normal distribution. Under the assumed model of noise it is shown that the theoretical expressions for the variances and covariances derived recently by Gamble et al (1979b) specifically for remote reference estimates apply to conventional estimates as well. However, calculations are biased if the impedance or tipper functions are biased. The impedance and tipper functions are calculated as ratios of two random functions of noisy field measurements. The expressions for the variances and covariances account for noise in both the numerator and denominator of the estimates. They are useful provided the probability that the magnitude of the random error in the denominator exceeds the magnitude of its expected value is small. Expressions for the bias errors of the impedance and tipper functions are obtained in order to assess the relative contributions of random and bias errors to the man squared error of the estimates. The relative magnitude of both random and bias errors depends on the noise level and on the values of the sample coherencies between various pairs of the field measurements used to compute a particular estimate.

Stodt, John A.

1982-11-01T23:59:59.000Z

377

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

SciTech Connect

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

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

2010-05-01T23:59:59.000Z

378

ILC cryogenic systems reference design  

SciTech Connect

A Global Design Effort (GDE) began in 2005 to study a TeV scale electron-positron linear accelerator based on superconducting radio-frequency (RF) technology, called the International Linear Collider (ILC). In early 2007, the design effort culminated in a reference design for the ILC, closely based on the earlier TESLA design. The ILC will consist of two 250 GeV linacs, which provide positron-electron collisions for high energy physics research. The particle beams will be accelerated to their final energy in superconducting niobium RF cavities operating at 2 kelvin. At a length of about 12 km each, the main linacs will be the largest cryogenic systems in the ILC. Positron and electron sources, damping rings, and beam delivery systems will also have a large number and variety of other superconducting RF cavities and magnets, which require cooling at liquid helium temperatures. Ten large cryogenic plants with 2 kelvin refrigeration are envisioned to cool the main linacs and the electron and positron sources. Three smaller cryogenic plants will cool the damping rings and beam delivery system components predominately at 4.5 K. This paper describes the cryogenic systems concepts for the ILC.

Peterson, T.J.; Geynisman, M.; Klebaner, A.; Theilacker, J.; /Fermilab; Parma, V.; Tavian, L.; /CERN

2008-01-01T23:59:59.000Z

379

Argon Purification Reference and Recommendation  

Science Conference Proceedings (OSTI)

This engineering note is a reference for future consideration on the purification of argon. The original concern was for the possibility of argon contamination from components in the cryostats over long-term storage. An argon purification system could also be useful for purifying the contents of the argon dewar. The general conclusion is that most of the systems researched are too expensive at this time, but the recommended choice would be Centorr Furnaces. There were three basic types of purification systems which were to be considered. The first was the molecular sieve. This method would have been the preferred one, because it was claimed that it could purify liquid argon, removing liquid oxygen from the argon. However, none of the commercial companies researched provided this type of purification for use with liquid argon. Most companies said that this type of purification was impossible, and tests at IB-4 confirmed this. The second system contained a copper oxide to remove gaseous oxygen from argon gas. The disadvantage of this system wass that the argon had to be heated to a gas, and then cooled back down to liquid. The third system was similar to the second, except that it used tungsten or another material like titanium. This system also needed to heat the argon to gas, however the advantage of this system was that it supposedly removed all contaminants, that is, everything except for inert gases. Of the three systems, the third is the type manufactured by Centorr Furnaces, which uses a titanium charge.

Wu, J.; /Fermilab

1991-05-23T23:59:59.000Z

380

Generating Referring Expressions that Involve Gradable Properties  

Science Conference Proceedings (OSTI)

This article examines the role of gradable properties in referring expressions from the perspective of natural language generation. First, we propose a simple semantic analysis of vague descriptions (i.e., referring expressions that contain gradable ...

Kees van Deemter

2006-06-01T23:59:59.000Z

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


381

Forecasting with Reference to a Specific Climatology  

Science Conference Proceedings (OSTI)

Seasonal forecasts are most commonly issued as anomalies with respect to some multiyear reference period. However, different seasonal forecasting centers use different reference periods. This paper shows that for near-surface temperature, ...

Emily Wallace; Alberto Arribas

2012-11-01T23:59:59.000Z

382

Statistical Approaches and Assumptions  

Science Conference Proceedings (OSTI)

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

2012-10-16T23:59:59.000Z

383

Analysis of the Effects of Compositional and Configurational Assumptions on Product Costs for the Thermochemical Conversion of Lignocellulosic Biomass to Mixed Alcohols – FY 2007 Progress Report  

DOE Green Energy (OSTI)

The purpose of this study was to examine alternative biomass-to-ethanol conversion process assumptions and configuration options to determine their relative effects on overall process economics. A process-flow-sheet computer model was used to determine the heat and material balance for each configuration that was studied. The heat and material balance was then fed to a costing spreadsheet to determine the impact on the ethanol selling price. By examining a number of operational and configuration alternatives and comparing the results to the base flow sheet, alternatives having the greatest impact the performance and cost of the overall system were identified and used to make decisions on research priorities. This report, which was originally published in December 2008, has been revised primarily to correct information presented in Appendix B -- Base Case Flow Sheets and Model Results. The corrections to Appendix B include replacement of several pages in Table B.1 that duplicated previous pages of the table. Other changes were made in Appendix B to correct inconsistencies between stream labels presented in the tables and the stream labels in the figures.

Zhu, Yunhua; Gerber, Mark A.; Jones, Susanne B.; Stevens, Don J.

2009-02-01T23:59:59.000Z

384

NIST Standard Reference Material/SRM product  

Science Conference Proceedings (OSTI)

*. Bookmark and Share. How do I order/price a NIST Standard Reference Material/SRM product? Ordering information is ...

2012-11-26T23:59:59.000Z

385

Environment/Climate Standard Reference Materials Portal  

Science Conference Proceedings (OSTI)

... more. Reference Materials and Standards for Fossil Fuels, Electric Utility Emissions, and Coal Combustion By-Products ...

2012-12-27T23:59:59.000Z

386

SPC/E Water Reference Calculations  

Science Conference Proceedings (OSTI)

SPC/E Water Reference Calculations - Ewald Summation. In ... 5. Sample Configurations of SPC/E Water Molecules. Four ...

2013-09-16T23:59:59.000Z

387

Bioscience & Health Standard Reference Materials Portal  

Science Conference Proceedings (OSTI)

... Our goal is to develop advanced measurement tools and standards for measuring ... see all Bioscience & Health Standard Reference Materials ...

2013-08-08T23:59:59.000Z

388

Reference framework for E-participation projects  

Science Conference Proceedings (OSTI)

Accommodating the various requirements from distinct perspectives in e-participation calls for a holistic engineering approach for e-participation systems analysis and design. This paper presents research results towards a reference framework for e-participation ... Keywords: E-participation, reference framework, reference model

Sabrina Scherer; Maria A. Wimmer

2011-08-01T23:59:59.000Z

389

Fuel Cycle Analysis Framework Base Cases for the IAEA/INPRO GAINS Collaborative Project  

SciTech Connect

Thirteen countries participated in the Collaborative Project GAINS “Global Architecture of Innovative Nuclear Energy Systems Based on Thermal and Fast Reactors Including a Closed Fuel Cycle”, which was the primary activity within the IAEA/INPRO Program Area B: “Global Vision on Sustainable Nuclear Energy” for the last three years. The overall objective of GAINS was to develop a standard framework for assessing future nuclear energy systems taking into account sustainable development, and to validate results through sample analyses. This paper details the eight scenarios that constitute the GAINS framework base cases for analysis of the transition to future innovative nuclear energy systems. The framework base cases provide a reference for users of the framework to start from in developing and assessing their own alternate systems. Each base case is described along with performance results against the GAINS sustainability evaluation metrics. The eight cases include four using a moderate growth projection and four using a high growth projection for global nuclear electricity generation through 2100. The cases are divided into two sets, addressing homogeneous and heterogeneous scenarios developed by GAINS to model global fuel cycle strategies. The heterogeneous world scenario considers three separate nuclear groups based on their fuel cycle strategies, with non-synergistic and synergistic cases. The framework base case analyses results show the impact of these different fuel cycle strategies while providing references for future users of the GAINS framework. A large number of scenario alterations are possible and can be used to assess different strategies, different technologies, and different assumptions about possible futures of nuclear power. Results can be compared to the framework base cases to assess where these alternate cases perform differently versus the sustainability indicators.

Brent Dixon

2012-09-01T23:59:59.000Z

390

Form:Reference | Open Energy Information  

Open Energy Info (EERE)

Form Form Edit History Facebook icon Twitter icon » Form:Reference Jump to: navigation, search Input the title of a Reference below. If the reference already exists, you will be able to edit its information. Add/Edit Reference The text entered into this field will be used as the name of the reference; for example, the title of a book or name of the journal article. Example references Claritas Rise, Mars- Pre-Tharsis Magmatism? An Improved Equilibrium-Kinetics Speciation Algorithm For Redox Reactions In Variably Saturated Subsurface Flow Systems True-Temperature Determination Of Geothermal Reservoirs ... further results This form and reference requirements are based on the Council of Science Editors (CSE) (author-date) citation style. For more details about this

391

Commercial Reference Buildings | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Commercial Reference Buildings Jump to: navigation, search DOE developed Commercial Reference Buildings which provide descriptions for whole building analysis using EnergyPlus. There are 16 building types and three categories that apply to all building types. The commercial reference buildings were developed across 16 reference locations. Contents 1 Building Types 2 Construction Categories 3 Climate Zones Used to Create Reference Buildings 4 References Building Types DOE developed 16 Commercial Reference Building Types[1] , which represent approximately 70% of the commercial buildings in the U.S. [2]. Whole

392

Template:Reference | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Template Edit History Facebook icon Twitter icon » Template:Reference Jump to: navigation, search This is the Reference template. To define/cite a new reference using CSE citation format, please use the Reference form. Parameters Name - The name or title of the reference material Document_type - The type of reference material (allowable values) InfographicType - The type of infographic if Info Grahpic/Map/Chart is the selected Document_type ThesisDissertation - Determines thesis or dissertation (Thesis/Dissertation) Authors - Comma delimited list of people who authored the reference material (required for Books, Conference Papers and Proceedings, Journal

393

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

394

Analysis of Restricted Natural Gas Supply Cases  

Reports and Publications (EIA)

The four cases examined in this study have progressively greater impacts on overall natural gas consumption, prices, and supply. Compared to the Annual Energy Outlook 2004 reference case, the no Alaska pipeline case has the least impact; the low liquefied natural gas case has more impact; the low unconventional gas recovery case has even more impact; and the combined case has the most impact.

James Kendell

2004-03-01T23:59:59.000Z

395

To access is not to know: A critical reflection on A2K and the role of libraries with special reference to sub-Saharan Africa  

Science Conference Proceedings (OSTI)

This paper critically examines the notions of the â??knowledge societyâ?? and â??access to knowledgeâ?? to uncover some underlying assumptions, with special reference to sub-Saharan Africa. We borrow from constructivist learning theory ... Keywords: A2K, constructivism, epistemology, information society, knowledge, knowledge society, libraries, sub-Saharan Africa

Peter Johan Lor; Johannes Britz

2010-10-01T23:59:59.000Z

396

EIA - Annual Energy Outlook 2008-Impacts of Updating the AEO2008 Reference  

Gasoline and Diesel Fuel Update (EIA)

Impacts of Updating the AEO2008 Reference Case Impacts of Updating the AEO2008 Reference Case Annual Energy Outlook 2008 with Projections to 2030 Impacts of Updating the AEO2008 Reference Case EIA's decision to update the AEO2008 early-release reference case was motivated by the enactment in December 2007 of EISA2007, which contains many provisions that will significantly influence future energy trends. The specific EISA2007 provisions modeled in AEO2008 include updates to the renewable fuel standard (RFS) and the corporate average fuel economy (CAFE) standard for new light-duty vehicles (LDVs); updated and new appliance energy efficiency standards for boilers, dehumidifiers, dish-washers, clothes washers, and commercial walk-in refrigerators and freezers; lighting energy efficiency standards; provisions to reduce energy consumption in Federal buildings; and efficiency standards for in-dustrial electric motors.

397

Commercial Reference Buildings | Department of Energy  

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

Buildings » Research Projects » Commercial Reference Buildings » Research Projects » Commercial Reference Buildings Commercial Reference Buildings The U.S. Department of Energy (DOE), in conjunction with three of its national laboratories, developed commercial reference buildings, formerly known as commercial building benchmark models. These reference buildings play a critical role in the program's energy modeling software research by providing complete descriptions for whole building energy analysis using EnergyPlus simulation software. There are 16 building types that represent approximately 70% of the commercial buildings in the U.S., according to the report published by the National Renewable Energy Laboratory titled U.S. Department of Energy Commercial Reference Building Models of the National Building Stock. These

398

Existing Commercial Reference Buildings Constructed Before 1980 |  

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

Existing Commercial Reference Buildings Constructed Before 1980 Existing Commercial Reference Buildings Constructed Before 1980 Existing Commercial Reference Buildings Constructed Before 1980 The files on this page contain commercial reference building models for existing buildings constructed before 1980, organized by building type and location. These U.S. Department of Energy (DOE) reference buildings are complete descriptions for whole building energy analysis. You can also return to a summary of building types and climate zones and information about other building vintages. These files are updated regularly. There are two versions of these files on this page. Version 1.3_5.0 was updated September 27, 2010 and Version 1.4_7.2 was updated November 13, 2012. You can also view related resources: an archive of past reference buildings files

399

FACILITY MAINTENANCE MANAGEMENT QUALIFICATION STANDARD REFERENCE GUIDE  

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

Facility Facility Maintenance Management Qualification Standard Reference Guide NOVEMBER 2009 Table of Contents i FIGURES...................................................................................................................................... iv TABLES........................................................................................................................................ iv ACRONYMS ................................................................................................................................. v PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

400

ENVIRONMENTAL COMPLIANCE QUALIFICATION STANDARD REFERENCE GUIDE  

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

Environmental Environmental Compliance Qualification Standard Reference Guide DECEMBER 2011 Table of Contents i LIST OF FIGURES ..................................................................................................................... iii LIST OF TABLES ....................................................................................................................... iii ACRONYMS ................................................................................................................................ iv PURPOSE ...................................................................................................................................... 1 SCOPE ........................................................................................................................................... 1

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


401

ENVIRONMENTAL RESTORATION QUALIFICATION STANDARD REFERENCE GUIDE  

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

Restoration Qualification Standard Reference Guide NOVEMBER 2009 i Table of Contents i FIGURES...................................................................................................................................... iv TABLES........................................................................................................................................ iv ACRONYMS ................................................................................................................................. v PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

402

CRITICALITY SAFETY QUALIFICATION STANDARD REFERENCE GUIDE  

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

Criticality Criticality Safety Qualification Standard Reference Guide APRIL 2011 This page is intentionally blank. Table of Contents i FIGURES ...................................................................................................................................... iii PURPOSE ...................................................................................................................................... 1 SCOPE ........................................................................................................................................... 1 PREFACE ...................................................................................................................................... 1 ACKNOWLEDGEMENTS ......................................................................................................... 2

403

NIST Standard Reference Databases: Surface Data  

Science Conference Proceedings (OSTI)

... Standard Reference Data, NIST: 100 Bureau Drive, Stop 2300 Gaithersburg, MD 20899-2300 Tel: 301-975-2208 Fax: 301-926-0416. ... Surface Data. ...

2012-12-17T23:59:59.000Z

404

New Reference Standards for Digital Mammography  

Science Conference Proceedings (OSTI)

New Reference Standards for Digital Mammography. ... The NIST 100 kV tungsten anode x-ray unit and the Ritz primary standard free-air ionization ...

2013-03-13T23:59:59.000Z

405

A New Solar Irradiance Reference Spectrum  

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

A New Solar Irradiance Reference Spectrum Pilewskie, Peter University of Colorado Fontenla, Juan LASP University of Colorado Harder, Jerry LASP University of Colorado Category:...

406

EMERGENCY MANAGEMENT QUALIFICATION STANDARD REFERENCE GUIDE  

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

Emergency Emergency Management Qualification Standard Reference Guide JUNE 2009 Table of Contents i LIST OF FIGURES ...................................................................................................................... ii LIST OF TABLES ........................................................................................................................ ii ACRONYMS .................................................................................................................................. i PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

407

Uranium Certified Reference Materials Price List  

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

Safety & Health spacer Office of Science Chicago Office - New Brunswick Laboratory Uranium Certified Reference Materials Price List Return to Price List Page NOTE: These costs...

408

NIST Standard Reference Database 1A  

Science Conference Proceedings (OSTI)

... These terms may refer to the whole product (NIST 11 ... bar of the Librarian tab to enter the m ... The User spectrum Search and the Structure Search are ...

2012-07-16T23:59:59.000Z

409

Portfolio Manager Technical Reference: Canadian National Energy...  

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

Home Buildings & Plants Portfolio Manager Technical Reference: Canadian National Energy Use Intensity Secondary menu About us Press room Contact Us Portfolio Manager Login...

410

NIST Transfer radiometers and reference detectors  

Science Conference Proceedings (OSTI)

... We are presently developing a pair of next generation reference detectors: an ... development for use as a primary standard in low power calibrations. ...

2013-04-10T23:59:59.000Z

411

Recycling in America: A Reference Handbook  

E-Print Network (OSTI)

and academic libraries, the handbook presents a nontechnicalRecycling in America: A Reference Handbook Patricia Murphy Handbook (Contemporary World Issues

Murphy, Patricia

1994-01-01T23:59:59.000Z

412

Smithells Metals Reference Book (8th Edition)  

Science Conference Proceedings (OSTI)

Feb 12, 2007 ... This comprehensive reference provides data on all key aspects of metallic materials, including narrative information on metallurgical and ...

413

FAQS Reference Guide – Nuclear Safety Specialist  

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

This reference guide addresses the competency statements in the November 2007 edition of DOE-STD-1183-2007, Nuclear Safety Specialist Functional Area Qualification Standard.

414

International linear collider reference design report  

E-Print Network (OSTI)

for the Baseline cost estimate, may eventually prove bene?Reference Design and associated cost estimate began. The GDEand reviewing the cost estimate. • A Design and Cost Board (

Aarons, G.

2008-01-01T23:59:59.000Z

415

NIST Photoionization of CO2 References  

Science Conference Proceedings (OSTI)

... A. Dalgarno and JL Fox, Unimolecular and Bimolecular Ion-Molecule ... references on CO 2 research using electron energy loss spectroscopy. ...

2010-10-05T23:59:59.000Z

416

References and Notes for Astatine ( At )  

Science Conference Proceedings (OSTI)

... Switch to Formatted Version References and Notes for Astatine ( At ). M64a R. McLaughlin, J. Opt. Soc. Am. 54, 965 (1964).

417

NETL: Climate Change Policy Support: Reference Shelf  

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

Climate Change Policy Support Reference Shelf NETL-sponsored Symposia at the AAAS Annual Meeting Battery-Powered Electric and Hybrid Electric Vehicle Projects to Reduce Greenhouse...

418

FAQS Reference Guide – Safeguards and Security  

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

This reference guide addresses the competency statements in the May 2009 edition of DOE-STD-1171-2009, Safeguards and Security Functional Area Qualification Standard.

419

FAQS Reference Guide – Criticality Safety (NNSA)  

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

This reference guide has been developed to address the competency statements in DOE-STD-1173-2009, Criticality Safety Functional Area Qualification Standard.

420

Category:Hydrogen References | Open Energy Information  

Open Energy Info (EERE)

Hydrogen References Jump to: navigation, search This category currently contains no pages or media. Retrieved from "http:en.openei.orgwindex.php?titleCategory:HydrogenReferen...

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


421

Property:ReferenceGenre | Open Energy Information  

Open Energy Info (EERE)

genre or subcategory label of reference material. Allows Values Buildings;Geothermal;Hydrogen;Smart Grid;Solar;Utilities;Water;Wind Retrieved from "http:en.openei.orgw...

422

FAQS Reference Guide – Weapon Quality Assurance  

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

This reference guide addresses the competency statements in the August 2008 edition of DOE-STD-1025-2008, Weapon Quality Assurance Functional Area Qualification Standard.

423

FAQS Reference Guide – NNSA Package Certification Engineer  

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

This reference guide addresses the competency statements in the February 2009 edition of DOE-STD-1026-2009, NNSA Package Certification Engineer Functional Area Qualification Standard.

424

Reference Number PCR Kit Name Manufacturer Kit ...  

Science Conference Proceedings (OSTI)

Page 1. Reference Number PCR Kit Name Manufacturer Kit Description 1 Profiler Life Technologies AmpFlSTR® Profiler® (Part number 403038) ...

2013-11-20T23:59:59.000Z

425

Emergency Responder Radioactive Material Quick Reference Sheet...  

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

This job aid is a quick reference to assist emergency responders in identifying preliminary safety precautions that should be taken during the initial response phase after arrival...

426

Archived Reference Building Type: Outpatient health care  

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

Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

427

Archived Reference Building Type: Outpatient health care  

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

Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

428

EPRI Live Working Reference Book, Third Edition  

Science Conference Proceedings (OSTI)

This report is a fully revised, updated, and expanded edition of the EPRI Live Working Reference Book, Second Edition (1024479), published by EPRI in 2011. The EPRI Live Working Reference Book, Third Edition provides the utility industry with a single, comprehensive, updated guidebook on live working standards, tools, and procedures. Results and ...

2012-12-31T23:59:59.000Z

429

EPRI Live Working Reference Book, Ed. 4  

Science Conference Proceedings (OSTI)

This report is a fully revised, updated, and expanded edition of the EPRI Live Working Reference Book, Third Edition (1024142), published by EPRI in 2012. The EPRI Live Working Reference Book, Fourth Edition (3002000891) provides the utility industry with a single, comprehensive, updated guidebook on live working standards, tools, and procedures.BackgroundDeregulation demands higher levels of ...

2013-12-27T23:59:59.000Z

430

Flexible reference trace reduction for VM simulations  

Science Conference Proceedings (OSTI)

The unmanageably large size of reference traces has spurred the development of sophisticated trace reduction techniques. In this article we present two new algorithms for trace reduction: Safely Allowed Drop (SAD) and Optimal LRU Reduction ... Keywords: cache hierarchies, locality, reference traces, trace compression, trace reduction

Scott F. Kaplan; Yannis Smaragdakis; Paul R. Wilson

2003-01-01T23:59:59.000Z

431

Property:Reference material | Open Energy Information  

Open Energy Info (EERE)

Reference material Reference material Jump to: navigation, search Property Name Reference material Property Type Page Description The reference material used or cited in the work, activity or concept which is the subject of the page. Pages using the property "Reference material" Showing 25 pages using this property. (previous 25) (next 25) 2 2-M Probe At Alum Area (Kratt, Et Al., 2010) + Boom And Bust With The Latest 2M Temperature Surveys- Dead Horse Wells, Hawthorne Army Depot, Terraced Hills, And Other Areas In Nevada + 2-M Probe At Astor Pass Area (Kratt, Et Al., 2010) + Boom And Bust With The Latest 2M Temperature Surveys- Dead Horse Wells, Hawthorne Army Depot, Terraced Hills, And Other Areas In Nevada + 2-M Probe At Black Warrior Area (DOE GTP) + GTP ARRA Spreadsheet +

432

Category:Reference Materials | Open Energy Information  

Open Energy Info (EERE)

Category Category Edit History Facebook icon Twitter icon » Category:Reference Materials (Redirected from Reference Materials) Jump to: navigation, search This is a deprecated subcategory. All Reference Materials will be converted to References. Pages in category "Reference Materials" The following 200 pages are in this category, out of 2,265 total. (previous 200) (next 200) 1 10 CFR § 1021 2 2-D Magnetotellurics At The Geothermal Site At Soultz-Sous-Forets- Resistivity Distribution To About 3000 M Depth 2.8-Ma Ash-Flow Caldera At Chegem River In The Northern Caucasus Mountains (Russia), Contemporaneous Granites, And Associated Ore Deposits 238U Decay Series Systematics Of Young Lavas From Batur Volcano, Sunda Arc 2D Joint Inversion Of Dc And Scalar Audio-Magnetotelluric Data In The Evaluation Of Low Enthalpy Geothermal Fields

433

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

Science Conference Proceedings (OSTI)

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

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

1994-05-01T23:59:59.000Z

434

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

Science Conference Proceedings (OSTI)

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

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

2010-01-01T23:59:59.000Z

435

Reference Buildings by Climate Zone and Representative City:...  

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

& Publications Reference Buildings by Climate Zone and Representative City: 2A Houston, Texas Reference Buildings by Building Type: Small Hotel Reference Buildings by Climate Zone...

436

Microsoft Word - Cross Reference Matrix Introduction.doc | Department...  

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

Microsoft Word - Cross Reference Matrix Introduction.doc Microsoft Word - Cross Reference Matrix Introduction.doc Microsoft Word - Cross Reference Matrix Introduction.doc More...

437

Microsoft Word - Cross Reference Matrix Introduction.doc | Department...  

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

Cross Reference Matrix Introduction.doc Microsoft Word - Cross Reference Matrix Introduction.doc Microsoft Word - Cross Reference Matrix Introduction.doc More Documents &...

438

NASA Reference Publication 1358 December 1994  

E-Print Network (OSTI)

Martin Statistical Tools and Methodologies Graphical Data Interpretation Tools Ben Shackelford Case Study

Rhoads, James

439

Category:References | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:References Jump to: navigation, search Add a new Reference. Subcategories This category has the following 9 subcategories, out of 9 total. B [×] Buildings References‎ G [×] Geothermal References‎ 290 pages H [×] Hydrogen References‎ R [×] Reference Materials‎ 2265 pages S [×] Smart Grid References‎ [×] Solar References‎ 1 pages U [×] Utilities References‎ W [×] Water References‎ 2 pages [×] Wind References‎ 1 pages Pages in category "References" The following 200 pages are in this category, out of 295 total. (previous 200) (next 200)

440

AVIATION SAFETY OFFICER QUALIFICATION STANDARD REFERENCE GUIDE  

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

Safety Safety Officer Qualification Standard Reference Guide MARCH 2010 i This page is intentionally blank. Table of Contents ii LIST OF FIGURES ..................................................................................................................... iii LIST OF TABLES ....................................................................................................................... iii ACRONYMS ............................................................................................................................... iv PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

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


441

NETL: Methane Hydrates - Methane Hydrate Reference Shelf  

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

Reference Shelf Reference Shelf The Methane Hydrate Reference Shelf was created to provide a repository for information collected from projects funded as part of the National Methane Hydrate R&D Program. As output from the projects is received, it will be reviewed and then placed onto the reference shelf to be available to other methane hydrate researchers. Projects: DOE/NETL Projects : These pages contain detailed information on methane hydrate projects funded through the National Energy Technology Laboratory. Publications: Newsletter | Bibliography | Software | Reports | Program Publications | Photo Gallery Newsletter: Fire in the Ice: A publication highlighting the National Methane Hydrate R&D Program Bibliography: "Project Reports Bibliography"[PDF]: The bibliography lists publications resulting from DOE/NETL-sponsored

442

GENERAL TECHNICAL BASE QUALIFICATION STANDARD REFERENCE GUIDE  

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

General General Technical Base Qualification Standard Reference Guide MARCH 2012 This page is intentionally blank. Table of Contents i FIGURES ...................................................................................................................................... iii TABLES ........................................................................................................................................ iii ACRONYMS ................................................................................................................................ iv PURPOSE ...................................................................................................................................... 1 SCOPE ........................................................................................................................................... 1

443

NUCLEAR SAFETY SPECIALIST QUALIFICATION STANDARD REFERENCE GUIDE  

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

Nuclear Nuclear Safety Specialist Qualification Standard Reference Guide AUGUST 2008 This page is intentionally blank. i Table of Contents LIST OF FIGURES ..................................................................................................................... iv LIST OF TABLES ........................................................................................................................ v ACRONYMS ................................................................................................................................ vi PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

444

Fire Protection Engineering Qualification Standard Reference Guide  

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

Fire Protection Fire Protection Engineering Qualification Standard Reference Guide SEPTEMBER 2009 This page is intentionally blank. Table of Contents i ACRONYMS ................................................................................................................................. ii PURPOSE.......................................................................................................................................1 SCOPE ............................................................................................................................................1 PREFACE.......................................................................................................................................1 TECHNICAL COMPETENCIES................................................................................................3

445

WASTE MANAGEMENT QUALIFICATION STANDARD REFERENCE GUIDE  

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

Qualification Standard Qualification Standard Reference Guide August 2010 Waste Management This page is intentionally blank. Table of Contents iii LIST OF FIGURES ..................................................................................................................... iv LIST OF TABLES ........................................................................................................................ v ACRONYMS ................................................................................................................................ vi PURPOSE ...................................................................................................................................... 1 SCOPE ........................................................................................................................................... 1

446

OCCUPATIONAL SAFETY QUALIFICATION STANDARD REFERENCE GUIDE  

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

Qualification Standard Qualification Standard Reference Guide JULY 2011 Occupational Safety This page is intentionally blank. Table of Contents i FIGURES ...................................................................................................................................... iii TABLES ........................................................................................................................................ iv ACRONYMS ................................................................................................................................. v PURPOSE ...................................................................................................................................... 1 SCOPE ........................................................................................................................................... 1

447

NEWTON's Environmental and Earth Science References  

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

Environmental and Earth Science References Environmental and Earth Science References Do you have a great reference link? Please click our Ideas page. Featured Reference Links: >NASA's Earth Science Division NASA's Earth Science Division Find the answers to the big questions of Earth Science such as "How is the World Changing?" The information and articles are provided by NASA's Earth Science Division Geology.com Resources Teaching Earth Science - Geology.com Geology.com provides news and information about Geology and Earth Science. It has a teacher resource section as well, which provides a collection of classroom activities and lesson plans, for earth science in the classroom. IRIS's Seismographs in Schools Program IRIS's Seismographs in Schools Program Discover tools to share seismic data in real-time, classroom activities, and technical support documents for seismic instruments.

448

INDUSTRIAL HYGIENE QUALIFICATION STANDARD REFERENCE GUIDE  

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

Industrial Industrial Hygiene Qualification Standard Reference Guide DECEMBER 2009 This page is intentionally blank. Table of Contents i LIST OF FIGURES ...................................................................................................................... ii LIST OF TABLES ........................................................................................................................ ii ACRONYMS ................................................................................................................................ iv PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

449

Category:Reference Materials | Open Energy Information  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Category Edit History Facebook icon Twitter icon » Category:Reference Materials Jump to: navigation, search This is a deprecated subcategory. All Reference Materials will be converted to References. Pages in category "Reference Materials" The following 200 pages are in this category, out of 2,265 total. (previous 200) (next 200) 1 10 CFR § 1021 2 2-D Magnetotellurics At The Geothermal Site At Soultz-Sous-Forets- Resistivity Distribution To About 3000 M Depth 2.8-Ma Ash-Flow Caldera At Chegem River In The Northern Caucasus Mountains (Russia), Contemporaneous Granites, And Associated Ore Deposits 238U Decay Series Systematics Of Young Lavas From Batur Volcano, Sunda Arc

450

CONSTRUCTION MANAGEMENT QUALIFICATION STANDARD REFERENCE GUIDE  

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

Construction Construction Management Qualification Standard Reference Guide August 2009 This page is intentionally blank. Table of Contents i LIST OF FIGURES ..................................................................................................................... iv LIST OF TABLES ........................................................................................................................ v ACRONYMS ................................................................................................................................ vi PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

451

RADIATION PROTECTION QUALIFICATION STANDARD REFERENCE GUIDE  

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

Radiation Radiation Protection Qualification Standard Reference Guide MARCH 2009 ii This page intentionally left blank iii Table of Contents LIST OF FIGURES ..................................................................................................................... iv LIST OF TABLES ....................................................................................................................... iv ACRONYMS, ABBREVIATIONS and SYMBOLS ................................................................. v PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

452

An expectation model of referring expressions  

E-Print Network (OSTI)

This thesis introduces EMRE, an expectation-based model of referring expressions. EMRE is proposed as a model of non-syntactic dependencies - in particular, discourse-level semantic dependencies that bridge sentence gaps. ...

Kræmer, John, Ph. D. Massachusetts Institute of Technology

2010-01-01T23:59:59.000Z

453

Building Technologies Office: Existing Commercial Reference Buildings...  

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

You can also view related resources: an archive of past reference buildings files a ZIP file containing the TMY2 weather data that were used to generate the following...

454

DISCLAIMER Commercial equipment and software referred to ...  

Science Conference Proceedings (OSTI)

... 118? • Field 2, 2.5 nm cells, 8-dot exchange: 71.9? • Field 2, 3.125 nm cells, 4-ang exchange: 48.1? Exchange reference: ...

2008-01-15T23:59:59.000Z

455

Javarifier : inference of reference immutability in Java  

E-Print Network (OSTI)

Javari is an extension of Java that supports reference immutability constraints. Programmers write Javari type qualifiers, such as the readonly type qualifier, in their programs, and the Javari typechecker detects mutation ...

Quinonez, Jamie

2008-01-01T23:59:59.000Z

456

Excepted Service EJ and EK Desk Reference  

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

The Excepted Service EJ and EK Desk Reference is designed to provide the framework, in conjunction, with the DOE O 329.1 (Excepted Service Authorities for EJ and EK Pay Plans). Specifically, the...

457

TECHNICAL TRAINING QUALIFICATION STANDARD REFERENCE GUIDE  

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

Technical Technical Training Qualification Standard Reference Guide December 2009 This page is intentionally blank. Table of Contents i LIST OF FIGURES ...................................................................................................................... ii LIST OF TABLES ........................................................................................................................ ii ACRONYMS ................................................................................................................................ iii PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

458

WEAPONS QUALITY ASSURANCE QUALIFICATION STANDARD REFERENCE GUIDE  

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

Weapon Weapon Quality Assurance Qualification Standard Reference Guide AUGUST 2009 This page is intentionally blank. Table of Contents i LIST OF FIGURES ...................................................................................................................... ii LIST OF TABLES ........................................................................................................................ ii ACRONYMS ................................................................................................................................ iv PURPOSE...................................................................................................................................... 1 SCOPE ...........................................................................................................................................

459

SAFEGUARDS AND SECURITY QUALIFICATION STANDARD REFERENCE GUIDE  

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

and Security Qualification Standard Reference Guide OCTOBER 2010 This page is intentionally blank. Table of Contents i LIST OF TABLES ........................................................................................................................ v ACRONYMS ................................................................................................................................ vi PURPOSE ...................................................................................................................................... 1 SCOPE ........................................................................................................................................... 1 PREFACE ...................................................................................................................................... 1

460

First Edition Underground Distribution Reference Book  

Science Conference Proceedings (OSTI)

The Electric Power Research Institute (EPRI) is developing a first edition of the Underground Distribution Systems Reference (Bronze Book). This report will join the EPRI series of transmission and distribution technical reference reports, commonly known by the color of their covers. The report will be a desk and field compendium on the general principles involved in the planning, design, manufacture, installation design, installation, testing, operation, and maintenance of underground distribution syste...

2009-12-22T23:59:59.000Z

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


461

Computer Forensic Reference Data Sets (CFReDS)  

Science Conference Proceedings (OSTI)

Computer Forensic Reference Data Sets. Summary: ... NIST is developing Computer Forensic Reference Data Sets (CFReDS) for digital evidence. ...

2010-10-05T23:59:59.000Z

462

Commercial Reference Building: Hospital | OpenEI  

Open Energy Info (EERE)

09 09 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278309 Varnish cache server Commercial Reference Building: Hospital Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Hospital for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

463

No Sunset and Extended Policies Cases (released in AEO2010)  

Reports and Publications (EIA)

The AEO2010 Reference case is best described as a current laws and regulations case, because it generally assumes that existing laws and fully promulgated regulations will remain unchanged throughout the projection period, unless the legislation establishing them specifically calls for them to end or change. The Reference case often serves as a starting point for the analysis of proposed legislative or regulatory changes, a task that would be difficult if the Reference case included projected legislative or regulatory changes.

Information Center

2010-05-11T23:59:59.000Z

464

Reference Design? | OpenEI Community  

Open Energy Info (EERE)

Reference Design? Reference Design? Home > Groups > Databus Are there any published reference designs for a DataBus installation? And/or some sort of discussion forum for this- I'd be interested to share thoughts and experiences about the various tradeoffs and options. (I'm not sure this Q&A thing is the best place for that; maybe some other feature of OpenEI?) Submitted by Hopcroft on 9 September, 2013 - 09:04 4 answers Points: 0 darn, the formatting on this forum software is really not that good. Maybe we should consider moving to serverfault.com which has great formatting, emails work, etc. etc. Deanhiller on 9 September, 2013 - 12:20 Points: 0 ah yes, I see your point there!!!! TIME_SERIES vs. RELATIONAL: TIME_SERIES is much much faster for downloads to charting after our performance fixes.

465

Excepted Service EJ and EK Desk Reference  

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

1] 1] U.S. DEPARTMENT OF ENERGY Office of the Chief Human Capital Officer 2012 Excepted Service EJ and EK Desk Reference E X E C U T I V E R E S O U R C E S D I V I S I O N [2] Executive Summary The Excepted Service EJ and EK Desk Reference is designed to provide the framework, in conjunction, with the DOE O 329.1 (Excepted Service Authorities for EJ and EK Pay Plans). Specifically, the desk reference addresses the requirements for the Excepted Service EJ and EK positions, to include: * Description of the EJ and EK authorities; * Policy of utilizing merit system principles and the Department's commitment to diversity; * The use of collective bargaining agreements applying to some EJ and EK positions; * The types of positions that the EJ and EK authorities apply and prohibited types of

466

Reference Design? | OpenEI Community  

Open Energy Info (EERE)

Reference Design? Reference Design? Home > Groups > Databus Are there any published reference designs for a DataBus installation? And/or some sort of discussion forum for this- I'd be interested to share thoughts and experiences about the various tradeoffs and options. (I'm not sure this Q&A thing is the best place for that; maybe some other feature of OpenEI?) Submitted by Hopcroft on 9 September, 2013 - 09:04 4 answers Points: 0 darn, the formatting on this forum software is really not that good. Maybe we should consider moving to serverfault.com which has great formatting, emails work, etc. etc. Deanhiller on 9 September, 2013 - 12:20 Points: 0 ah yes, I see your point there!!!! TIME_SERIES vs. RELATIONAL: TIME_SERIES is much much faster for downloads to charting after our performance fixes.

467

Reference Design? | OpenEI Community  

Open Energy Info (EERE)

Reference Design? Reference Design? Home > Groups > Databus Are there any published reference designs for a DataBus installation? And/or some sort of discussion forum for this- I'd be interested to share thoughts and experiences about the various tradeoffs and options. (I'm not sure this Q&A thing is the best place for that; maybe some other feature of OpenEI?) Submitted by Hopcroft on 9 September, 2013 - 09:04 4 answers Points: 0 darn, the formatting on this forum software is really not that good. Maybe we should consider moving to serverfault.com which has great formatting, emails work, etc. etc. Deanhiller on 9 September, 2013 - 12:20 Points: 0 ah yes, I see your point there!!!! TIME_SERIES vs. RELATIONAL: TIME_SERIES is much much faster for downloads to charting after our performance fixes.

468

Reference Design? | OpenEI Community  

Open Energy Info (EERE)

Reference Design? Reference Design? Home > Groups > Databus Are there any published reference designs for a DataBus installation? And/or some sort of discussion forum for this- I'd be interested to share thoughts and experiences about the various tradeoffs and options. (I'm not sure this Q&A thing is the best place for that; maybe some other feature of OpenEI?) Submitted by Hopcroft on 9 September, 2013 - 09:04 4 answers Points: 0 darn, the formatting on this forum software is really not that good. Maybe we should consider moving to serverfault.com which has great formatting, emails work, etc. etc. Deanhiller on 9 September, 2013 - 12:20 Points: 0 ah yes, I see your point there!!!! TIME_SERIES vs. RELATIONAL: TIME_SERIES is much much faster for downloads to charting after our performance fixes.

469

NETL: Innovations for Existing Plants - Reference Shelf  

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

Reference Shelf Reference Shelf Innovations for Existing Plants Reference Shelf Program Overview Overview Publications: IEP, Recent Accomplishments Report - [PDF-1.3MB] (Oct 2007) IEP Roadmap & Program Plan [PDF-1.2MB] (May 2006) DOE/NETL'S Innovations for Existing Plants R&D Program [PDF-42KB] (Feb 2005) Improving the Environmental Performance of Today's Coal-Fired Power Plants This paper provides an overview of the Innovations for Existing Plants (IEP) Program, managed by the DOE National Energy Technology Laboratory. IEP develops advanced low-cost environmental control technologies for the existing fleet of coal-fired power plants, specifically focusing on the development of advanced mercury, NOx, PM, and acid gas emission control technology. Research is also directed at the characterization and beneficial use of coal utilization byproducts as well as at emerging electric-utility and water issues.

470

Reference Design? | OpenEI Community  

Open Energy Info (EERE)

Reference Design? Reference Design? Home > Groups > Databus Are there any published reference designs for a DataBus installation? And/or some sort of discussion forum for this- I'd be interested to share thoughts and experiences about the various tradeoffs and options. (I'm not sure this Q&A thing is the best place for that; maybe some other feature of OpenEI?) Submitted by Hopcroft on 9 September, 2013 - 09:04 4 answers Points: 0 darn, the formatting on this forum software is really not that good. Maybe we should consider moving to serverfault.com which has great formatting, emails work, etc. etc. Deanhiller on 9 September, 2013 - 12:20 Points: 0 ah yes, I see your point there!!!! TIME_SERIES vs. RELATIONAL: TIME_SERIES is much much faster for downloads to charting after our performance fixes.

471

DOE_EVMS_CROSS_REFERENCE_CHECKLIST.pdf  

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

EVMS CROSS REFERENCE CHECKLIST EVMS CROSS REFERENCE CHECKLIST The purpose of this checklist is to evaluate a contractor's EVMS procedures to the ANSI/EIA-748 Guidelines. This process is typically done during a certification review, evaluation of changes to procedures, and when questions arise during subsequent surveillances. This checklist is just one tool. Other references may assist in the evaluation process. A recommended guide to be used in conjunction with this checklist is the NDIA PMSC, Earned Value Management Systems Intent Guide, 2006, http://www.ndia.org/Divisions/Divisions/Procurement/Pages/Program_Management_Systems_Committee.aspx GUIDELINE and QUESTIONS Y/N SD Ref ASSESSMENT NOTES DOCUMENTS I. ORGANIZATION 1. Define the authorized work elements for program. A work breakdown structure (WBS), tailored for effective internal management

472

Property:References | Open Energy Information  

Open Energy Info (EERE)

References References Jump to: navigation, search This is a property of type Text. Subproperties This property has the following 43 subproperties: A Active Seismic Techniques Aeromagnetic Survey Airborne Gravity Survey Audio-Magnetotellurics C Chemical Logging Compound and Elemental Analysis Controlled Source Audio MT Controlled Source Frequency-Domain Magnetics D DC Resistivity Survey (Dipole-Dipole Array) DC Resistivity Survey (Mise-Á-La-Masse) DC Resistivity Survey (Pole-Dipole Array) DC Resistivity Survey (Schlumberger Array) DC Resistivity Survey (Wenner Array) Direct-Current Resistivity Survey D cont. Downhole Techniques E Electrical Profiling Configurations Electrical Techniques Electromagnetic Techniques F Frequency-Domain Electromagnetic Survey G Geodetic Survey Geophysical Techniques

473

Commercial Reference Building: Supermarket | OpenEI  

Open Energy Info (EERE)

Supermarket Supermarket Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Supermarket for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

474

Radwaste Desk Reference: Volume 5: Transportation Update  

Science Conference Proceedings (OSTI)

This volume of the Radwaste Desk Reference contains fundamental practical and regulatory information on the transportation of radioactive waste. Because its information is based entirely on industry practice, the work can serve as an extensive "how-to" manual for both the newcomer and the experienced radwaste professional.

2000-03-10T23:59:59.000Z

475

Hearing Conservation Program 1.0 Reference  

E-Print Network (OSTI)

Hearing Conservation Program 1.0 Reference California Code of Regulations, Title 8, Article 105, Fullerton to establish and maintain effective noise control and hearing conservation programs designed by University policy and State law. 4.0 Scope The Hearing Conservation Program affects all employees exposed

de Lijser, Peter

476

Commercial Reference Building: Warehouse | OpenEI  

Open Energy Info (EERE)

Warehouse Warehouse Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Warehouse for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for three categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

477

Xyce parallel electronic simulator : reference guide.  

SciTech Connect

This document is a reference guide to the Xyce Parallel Electronic Simulator, and is a companion document to the Xyce Users Guide. The focus of this document is (to the extent possible) exhaustively list device parameters, solver options, parser options, and other usage details of Xyce. This document is not intended to be a tutorial. Users who are new to circuit simulation are better served by the Xyce Users Guide. The Xyce Parallel Electronic Simulator has been written to support, in a rigorous manner, the simulation needs of the Sandia National Laboratories electrical designers. It is targeted specifically to run on large-scale parallel computing platforms but also runs well on a variety of architectures including single processor workstations. It also aims to support a variety of devices and models specific to Sandia needs. This document is intended to complement the Xyce Users Guide. It contains comprehensive, detailed information about a number of topics pertinent to the usage of Xyce. Included in this document is a netlist reference for the input-file commands and elements supported within Xyce; a command line reference, which describes the available command line arguments for Xyce; and quick-references for users of other circuit codes, such as Orcad's PSpice and Sandia's ChileSPICE.

Mei, Ting; Rankin, Eric Lamont; Thornquist, Heidi K.; Santarelli, Keith R.; Fixel, Deborah A.; Coffey, Todd Stirling; Russo, Thomas V.; Schiek, Richard Louis; Warrender, Christina E.; Keiter, Eric Richard; Pawlowski, Roger Patrick

2011-05-01T23:59:59.000Z

478

Refining visualization reference model for context information  

Science Conference Proceedings (OSTI)

Context-awareness can be used to decrease the need for interaction with a mobile device. This is increasingly important since the functionality of mobile devices and personal digital assistants gets more and more complex while the input and output capabilities ... Keywords: Context awareness, Hand-held devices, Information visualization, Mobile phones, Visualization reference model

Antti Aaltonen; Juha Lehikoinen

2005-11-01T23:59:59.000Z

479

Heap reference analysis using access graphs  

Science Conference Proceedings (OSTI)

Despite significant progress in the theory and practice of program analysis, analyzing properties of heap data has not reached the same level of maturity as the analysis of static and stack data. The spatial and temporal structure of stack and static ... Keywords: Aliasing, data flow analysis, heap references, liveness

Uday P. Khedker; Amitabha Sanyal; Amey Karkare

2007-11-01T23:59:59.000Z

480

Positional reference system for ultraprecision machining  

DOE Patents (OSTI)

A stable positional reference system for use in improving the cutting tool-to-part contour position in numerical controlled-multiaxis metal turning machines is provided. The reference system employs a plurality of interferometers referenced to orthogonally disposed metering bars which are substantially isolated from machine strain induced position errors for monitoring the part and tool positions relative to the metering bars. A microprocessor-based control system is employed in conjunction with the plurality of position interferometers and part contour description data inputs to calculate error components for each axis of movement and output them to corresponding axis drives with appropriate scaling and error compensation. Real-time position control, operating in combination with the reference system, makes possible the positioning of the cutting points of a tool along a part locus with a substantially greater degree of accuracy than has been attained previously in the art by referencing and then monitoring only the tool motion relative to a reference position located on the machine base.

Arnold, Jones B. (Knoxville, TN); Burleson, Robert R. (Clinton, TN); Pardue, Robert M. (Knoxville, TN)

1982-01-01T23:59:59.000Z

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


481

Positional reference system for ultraprecision machining  

DOE Patents (OSTI)

A stable positional reference system for use in improving the cutting tool-to-part contour position in numerical controlled-multiaxis metal turning machines is provided. The reference system employs a plurality of interferometers referenced to orthogonally disposed metering bars which are substantially isolated from machine strain induced position errors for monitoring the part and tool positions relative to the metering bars. A microprocessor-based control system is employed in conjunction with the plurality of positions interferometers and part contour description data input to calculate error components for each axis of movement and output them to corresponding axis driven with appropriate scaling and error compensation. Real-time position control, operating in combination with the reference system, makes possible the positioning of the cutting points of a tool along a part locus with a substantially greater degree of accuracy than has been attained previously in the art by referencing and then monitoring only the tool motion relative to a reference position located on the machine base.

Arnold, J.B.; Burleson, R.R.; Pardue, R.M.

1980-09-12T23:59:59.000Z

482

ITS 1.5 Reference Manual  

E-Print Network (OSTI)

This reference manual consists of two parts. The first (sections 1 through 6) is intended for those who are either interested in the ITS 1.5 time sharing monitor for its own sake or who wish to write machine language ...

Eastlake, D.

1969-07-01T23:59:59.000Z

483

ITS 1.5 Reference Manual  

E-Print Network (OSTI)

This reference manual consists of two parts. The first (sections 1 through 6) is intended for those who are either interested in the ITS 1.5 time sharing monitor for its own sake or who wish to write machine language ...

Eastlake, D.

1968-06-01T23:59:59.000Z

484

Programs (ASD(NCB)) References: See Enclosure  

E-Print Network (OSTI)

accordance with the authority in DoDD 5134.01 (Reference (c)) to update the responsibilities and functions, relationships, and authorities of the ASD(NCB), under the Under Secretary of Defense for Acquisition, Technology, and Logistics (USD(AT&L)). 2. APPLICABILITY. This Directive applies to OSD, the Military Departments, the Office of

unknown authors

2013-01-01T23:59:59.000Z

485

Temporal Reference Algorithms versus Spatial Reference Algorithms forSmart Antennas  

Science Conference Proceedings (OSTI)

This paper compares algorithms from three different classes of adaptation schemes for smart antennas – the switched beam approach, a Temporal-Reference (TR) technique based on Direct Matrix Inversion or Least Squares adaptation, and a Spatial-Reference ... Keywords: adaptation algorithms, angular spread, comparison, mutual coupling, smart antennas

Josef Fuhl; Ernst Bonek

1999-05-01T23:59:59.000Z

486

The Ozone Dilemma: a reference handbook (Contemporary World Issues Series)  

E-Print Network (OSTI)

Dilemma: a reference handbook By David E. Newton Reviewed byDilemma: a reference handbook (Contemporary World IssuesThe Ozone Dilemma: a reference handbook is targeted at both

Li, Haipeng

1997-01-01T23:59:59.000Z

487

Ocean - Quick Reference | Data.gov  

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

- Quick Reference - Quick Reference Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Quick Ref 1) Q: How do I upload metadata into Data.gov? A: Federal Agencies: Data.gov is organized into separate catalogs to provide access to three classes of published, publicly accessible federal data and related access tools and services: "raw" data, geodata and applications, each with specific distinguishing characteristics. Although the selection criteria, approval, and submission process differ by department and agency, the following highlights the Data.gov submission process. Nomination of data or application Although any individual or organization may suggest a dataset or application for promotion to Data.gov, primary responsibility rests with

488

IBM References | Argonne Leadership Computing Facility  

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

Data Transfer Data Transfer Debugging & Profiling Performance Tools & APIs Software & Libraries IBM References Intrepid/Challenger/Surveyor Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] IBM References Contents IBM Redbooks A2 Processor Manual QPX Vector Instruction Set Architecture XL Compiler Documentation MASS Documentation Back to top IBM Redbooks IBM System Blue Gene Solution: Blue Gene/Q Application Development Manual - Application and library developers wants this one. This documents options for MPI, OpenMP, and other features of interest to most users. IBM System Blue Gene Solution: Blue Gene/Q Code Development and Tools Interface - Low-level tools; developers may find this useful.

489

REScheck Residnetial Plan Review Quick Reference Guide  

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

RESIDENTIAL PLAN REVIEW RESIDENTIAL PLAN REVIEW QUICK REFERENCE GUIDE Plan review for energy code compliance can be conducted quickly and efficiently. The U.S. Department of Energy's REScheck Compliance Software is designed to create simplified compliance certificates that can be easily reviewed by enforcement personnel. This Quick Reference Guide will guide you, step-by-step, through a typical plan review process. There are three basic steps for conducting a building energy code plan review: Step 1: Verify the documentation has been correctly prepared. Step 2: Verify the levels of efficiency shown on the plans meet or exceed that shown in the documentation. Step 3: Verify all of the information to conduct a field inspection is included in the plans or documentation for the inspector to use on site.

490

to refer your readers to any other  

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

refer your readers to any other refer your readers to any other forms of communication that you've created for your organization. You can also use this space to remind readers to mark their calendars for a regular event, such as a breakfast meeting for vendors every third Tuesday of the month, or a biannual charity auction. If space is available, this is a good place to insert a clip art image or some other graphic. This story can fit 175-225 words. If your newsletter is folded and mailed, this story will appear on the back. So, it's a good idea to make it easy to read at a glance. A question and answer session is a good way to quickly capture the at- tention of readers. You can either compile questions that you've re-

491

EERE Program Management Quick Reference Guide  

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

a companion to the Office of Energy Efficiency and a companion to the Office of Energy Efficiency and Renewable Energy (EERE) Program Management Reference Guide. It provides an overall description of the EERE program management structure, defines EERE program and project management roles and responsibilities, lays out the general sequence of activities in the program management cycle, and introduces the EERE Strategic Management System (SMS) and the EERE Information and Business Management Systems - Corporate Planning System (CPS), EERE Information System (EIS), and the Systems Approach to Grants Administration for Windows (WinSAGA). Quick references to the Guide and other sources of information of related program management information are provided throughout in information boxes associated within the text.

492

OFFICE OF FAIR TRADING TERMS OF REFERENCE  

E-Print Network (OSTI)

The OFT, in exercise of its powers under sections 131 and 133 of the Enterprise Act 2002 (the Act), hereby makes a reference to the Competition Commission for an investigation into the supply of local bus services. In accordance with section 133(2) and (3)(a) of the Act the Competition Commission shall confine its investigation to the effects of features of such market or markets for local bus services as exist in connection with the supply of such services in United Kingdom excluding Northern Ireland and London.' The OFT has reasonable grounds for suspecting that a feature or a combination of features of the market or markets for the supply of local bus services in the UK excluding Northern Ireland and London prevents, restricts or distorts competition. For the purposes of this reference: 'local bus services ' means all bus services, both commercial 2 and tendered,3 which

John Fingleton

2010-01-01T23:59:59.000Z

493

Lorentz Transformation from Symmetry of Reference Principle  

E-Print Network (OSTI)

The Lorentz Transformation is traditionally derived requiring the Principle of Relativity and lightspeed universality. While the latter can be relaxed, the Principle of Relativity is seen as core to the transformation. The present letter relaxes both statements to the weaker, Symmetry of Reference Principle. Thus the resulting Lorentz transformation and its consequences (time dilatation, length contraction) are, in turn, effects of how we manage space and time.

M. Dima

2006-01-01T23:59:59.000Z

494

Radwaste Desk Reference: Volume 4: Mixed Waste  

Science Conference Proceedings (OSTI)

Mixed waste management has been a significant concern to nuclear utilities due to the lack of available treatment and disposal capacity. This volume of the Radwaste Desk Reference contains fundamental practical and regulatory information on the management of mixed low level waste. Because its information is based entirely on industry practice, the work can serve as an extensive "how-to" manual for both the newcomer and the experienced radwaste professional responsible for mixed waste.

1995-12-31T23:59:59.000Z

495

CRITICALITY SAFETY QUALIFICATION STANDARD REFERENCE GUIDE  

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

9, 2010 Page 1 of 47 9, 2010 Page 1 of 47 Criticality Safety Qualification Standard Reference Guide 2010 For use with DOE-STD 1173-2009, CRITICALITY SAFETY FUNCTIONAL AREA QUALIFICATION STANDARD September 9, 2010 Page 2 of 47 PURPOSE....................................................................................................................... 5 SCOPE............................................................................................................................ 5 1. Criticality safety personnel must demonstrate a working-level knowledge of the fission process. .......................................................................................................... 6 2. Criticality safety personnel must demonstrate a working-level knowledge of the

496

Insulator Reference Book: Chapter 1: Insulator Fundamentals  

Science Conference Proceedings (OSTI)

This technical update report presents a draft first chapter of the Electric Power Research Institute (EPRI) Insulator Reference Book, which is being developed to give utility transmission engineers a comprehensive information resource on all aspects of high-voltage insulators.BackgroundHigh-voltage insulators are an essential part of the power delivery system. They ensure the safe transmission of electricity from generating stations to substations, where the ...

2013-12-19T23:59:59.000Z

497

EPRI Live Working Reference Book Edition 2  

Science Conference Proceedings (OSTI)

This report contains updated information on the 2012 edition of the National Electrical Safety Code (NESC) and on glass insulators that became available after publication of the first edition of the Tan Book (Electric Power Research Institute [EPRI] report 1018974) in 2009. The 2009 first edition of the this report was a fully revised, updated, and expanded version of the Live Working Guide for Overhead Lines (EPRI report 1008747), published in 2004. The new EPRI Live Working Reference Book provides the ...

2011-11-02T23:59:59.000Z