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We encourage you to perform a real-time search of NLEBeta
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1

Supply-side Resources & Planning Assumptions  

E-Print Network (OSTI)

modeling 146/19/2013 #12;6/19/2013 8 Commercial w/Limited PNW availability Proposed resources: ­ Biogas technologies Raft River Geothermal (ID)Biogas technologies Landfill Wastewater treatment Animal, commercial

2

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

3

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

4

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":""}]}

5

Oil and Gas Supply Module (OGSM)  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Dana Van-Wagener

2013-07-05T23:59:59.000Z

6

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

7

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

8

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

9

Documentation of the Oil and Gas Supply Module (OGSM)  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the objectives of the Oil and Gas Supply Model (OGSM), to describe the model`s basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public. Projected production estimates of US crude oil and natural gas are based on supply functions generated endogenously within National Energy Modeling System (NEMS) by the OGSM. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes enhanced oil recovery (EOR), and unconventional gas recovery (UGR) from tight gas formations, Devonian/Antrim shale and coalbeds. Crude oil and natural gas projections are further disaggregated by geographic region. OGSM projects US domestic oil and gas supply for six Lower 48 onshore regions, three offshore regions, and Alaska. The general methodology relies on forecasted profitability to determine exploratory and developmental drilling levels for each region and fuel type. These projected drilling levels translate into reserve additions, as well as a modification of the production capacity for each region. OGSM also represents foreign trade in natural gas, imports and exports by entry region. Foreign gas trade may occur via either pipeline (Canada or Mexico), or via transport ships as liquefied natural gas (LNG). These import supply functions are critical elements of any market modeling effort.

NONE

1998-01-01T23:59:59.000Z

10

Oil and Gas Supply Module (OGSM), 2009, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Dana Van-Wagener

2009-07-07T23:59:59.000Z

11

Oil and Gas Supply Module (OGSM), 2007, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2007-08-14T23:59:59.000Z

12

Oil and Gas Supply Module (OGSM), 2002, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2002-03-01T23:59:59.000Z

13

Oil and Gas Supply Module (OGSM), 1998, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

1998-01-01T23:59:59.000Z

14

Oil and Gas Supply Module (OGSM), 1995, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

1996-01-01T23:59:59.000Z

15

Oil and Gas Supply Module (OGSM), 2008, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Dana Van-Wagener

2008-10-14T23:59:59.000Z

16

Oil and Gas Supply Module (OGSM), 2006, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2006-03-01T23:59:59.000Z

17

Oil and Gas Supply Module (OGSM), 1999, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

1999-02-01T23:59:59.000Z

18

Oil and Gas Supply Module (OGSM), 1997, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

1997-01-01T23:59:59.000Z

19

Oil and Gas Supply Module (OGSM), 2000, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2000-01-01T23:59:59.000Z

20

Oil and Gas Supply Module (OGSM), 2004, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2004-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "ogsm resource 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

Oil and Gas Supply Module (OGSM), 2001, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2001-01-01T23:59:59.000Z

22

Oil and Gas Supply Module (OGSM), 2005, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2005-05-01T23:59:59.000Z

23

Documentation of the Oil and Gas Supply Module (OGSM)  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the objectives of the Oil and Gas Supply Model (OGSM), to describe the model`s basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public. It is prepared in accordance with the Energy Information Administration`s (EIA) legal obligation to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, Section 57(b)(2)). Projected production estimates of U.S. crude oil and natural gas are based on supply functions generated endogenously within National Energy Modeling System (NEMS) by the OGSM. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes enhanced oil recovery (EOR), and unconventional gas recovery (UGR) from tight gas formations, Devonian shale and coalbeds. Crude oil and natural gas projections are further disaggregated by geographic region. OGSM projects U.S. domestic oil and gas supply for six Lower 48 onshore regions, three offshore regions, and Alaska. The general methodology relies on forecasted drilling expenditures and average drilling costs to determine exploratory and developmental drilling levels for each region and fuel type. These projected drilling levels translate into reserve additions, as well as a modification of the production capacity for each region. OGSM also represents foreign trade in natural gas, imports and exports by entry region. Foreign gas trade may occur via either pipeline (Canada or Mexico), or via transport ships as liquefied natural gas (LNG). These import supply functions are critical elements of any market modeling effort.

NONE

1995-10-24T23:59:59.000Z

24

Documentation of the oil and gas supply module (OGSM)  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the objectives of the Oil and Gas Supply Model (OGSK, to describe the model`s basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public. It is prepared in accordance with the Energy Information Administration`s (EIA) legal obligation to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, Section 57(b)(2). OGSM is a comprehensive framework with which to analyze oil and gas supply potential and related issues. Its primary function is to produce forecast of crude oil, natural gas production, and natural gas imports and exports in response to price data received endogenously (within NEMS) from the Natural Gas Transmission and Distribution Model (NGTDM) and the Petroleum Market Model (PMM). To accomplish this task, OGSM does not provide production forecasts per se, but rather parameteres for short-term domestic oil and gas production functions and natural gas import functions that reside in PMM and NGTDM.

NONE

1996-01-01T23:59:59.000Z

25

Oil and Gas Supply Module (OGSM), 2003 Vol. I, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2003-04-01T23:59:59.000Z

26

Oil and Gas Supply Module (OGSM), 2003 Vol. II, Model Documentation  

Reports and Publications (EIA)

Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.

Information Center

2003-04-01T23:59:59.000Z

27

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply. 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(2003), (Washington, DC, February 2003). 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 gas from domestic fields throughout the United States, acquire natural gas from foreign producers for resale in the United States, or sell U.S. gas to foreign consumers.

28

Documentation of the Oil and Gas Supply Module (OGSM)  

U.S. Energy Information Administration (EIA)

Tight Gas Production ..... 3-B-10 3B-3 Tight Sand Resource Base ..... 3B-1-2 3B-4 Gas Shale Resource Base..... 3B-1-4 3B-5 ...

29

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

30

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

equilibrates supply and demand. Associated-dissolved gas production is determined in the Oil and Gas Supply Module (OGSM). Secondary flows are established before the equilibration...

31

Northwest Power Supply Adequacy/Reliability Study Phase 1 Report DATA AND ASSUMPTIONS USED FOR THE RESOURCE DEVELOPMENT  

E-Print Network (OSTI)

and Abbreviations AWEA American Wind Energy Association BRPU Biennial Resources Plan Update BWG Biogas Working Group policy proposal was required to answer a number of questions drafted by the #12;The Biogas Working Group by the Biogas Working Group (BWG)5 and would have provided additional funding to biogas generation via

32

Assumptions to the Annual Energy Outlook 2002 - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply. 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(2002), (Washington, DC, January 2002). 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 gas from domestic fields throughout the United States, acquire natural gas from foreign producers for resale in the United States, or sell U.S. gas to foreign consumers. OGSM encompasses domestic crude oil and natural gas supply by both

33

Assumptions to the Annual Energy Outlook 2001 - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply. 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(2001), (Washington, DC, January 2001). 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 gas from domestic fields throughout the United States, acquire natural gas from foreign producers for resale in the United States, or sell U.S. gas to foreign consumers. OGSM encompasses domestic crude oil and natural gas supply by both

34

Assumptions to the Annual Energy Outlook 1999 - Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

oil.gif (4836 bytes) oil.gif (4836 bytes) The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply. 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(99), (Washington, DC, January 1999). 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 gas from domestic fields throughout the United States, acquire natural gas from foreign producers for resale in the United States, or sell U.S. gas to foreign consumers. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes enhanced oil recovery and unconventional gas recovery from tight gas formations, gas shale, and coalbeds. Foreign gas transactions may occur via either pipeline (Canada or Mexico) or transport ships as liquefied natural gas (LNG).

35

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...

36

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

37

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

38

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

39

Resources  

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

Resources / Related Web Sites Resources / Related Web Sites Buildings-Related Resources Windows & Glazing Resources Energy-Related Resources International Resources Telephone Directories Buildings-Related Resources California Institute for Energy Efficiency (CIEE) Center for Building Science (CBS) at LBNL Department of Energy (DOE) DOE Energy Efficiency home page Energy Efficiency and Renewable Energy Clearinghouse Fact sheets in both HTML for standard web browsers and PDF format using Adobe Acrobat Reader (free). National Fenestration Rating Council home page Office of Energy Efficiency and Renewable Energy (EREN) back to top... Windows & Glazing Resources National Glass Association (NGA) LBNL Building Technologies Fenestration R&D news LBNL Center for Building Science (CBS) Newsletter

40

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

Note: This page contains sample records for the topic "ogsm resource 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

Resources  

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

Resources The DOE Information Center's current collection has more than 40,000 documents consisting of technical reports and historical materials that relate to DOE operations....

42

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

43

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.

44

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.

45

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

46

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.

47

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

48

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

49

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.

50

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

51

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

52

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.

53

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...

54

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...

55

The National Energy Modeling System: An Overview 2000 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

oil and gas supply module (OGSM) consists of a series of process submodules that project the availability of: oil and gas supply module (OGSM) consists of a series of process submodules that project the availability of: Domestic crude oil production and dry natural gas production from onshore, offshore, and Alaskan reservoirs Imported pipeline-quality gas from Mexico and Canada Imported liquefied natural gas. The OGSM regions are shown in Figure 12. Figure 12. Oil and Gas Supply Module Regions The driving assumption of OGSM is that domestic oil and gas exploration and development are undertaken if the discounted present value of the recovered resources at least covers the present value of taxes and the cost of capital, exploration, development, and production. In contrast, international gas trade is determined in part by scenario-dependent, noneconomic factors. Crude oil is transported to refineries, which are simulated in the petroleum market module, for conversion and blending into refined petroleum products. The individual submodules of the oil and gas supply module are solved independently, with feedbacks achieved through NEMS solution iterations (Figure 13).

56

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).

57

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.

58

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.

59

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.

60

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

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61

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

62

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

63

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

64

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

65

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.

66

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.

67

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

68

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).

69

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).

70

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.

71

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.

72

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...

73

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...

74

Assumption-Commitment Support for CSP Model Checking  

E-Print Network (OSTI)

AVoCS 2006 Assumption-Commitment Support for CSP Model Checking Nick Moffat1 Systems Assurance using CSP. In our formulation, an assumption-commitment style property of a process SYS takes the form-Guarantee, CSP, Model Checking, Compositional Reasoning 1 Introduction The principle of compositional program

Paris-Sud XI, Université de

75

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.

76

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

77

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

78

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

79

Notes 01. The fundamental assumptions and equations of lubrication theory  

E-Print Network (OSTI)

The fundamental assumption in Lubrication Theory. Derivation of thin film flow equations from Navier-Stokes equations. Importance of fluid inertia effects in thin film flows. Some fluid physical properties

San Andres, Luis

2009-01-01T23:59:59.000Z

80

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

Note: This page contains sample records for the topic "ogsm resource 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

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

82

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...

83

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...

84

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

85

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.

86

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

87

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

88

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

89

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

90

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

91

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.

92

Oil and Gas Supply Module  

Gasoline and Diesel Fuel Update (EIA)

1 1 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze crude oil and natural gas exploration and development on a regional basis (Figure 8). 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[1], 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(2011), (Washington, DC, 2011). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum

93

Oil and Gas Supply Module  

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

Oil and Gas Supply Module Oil and Gas Supply Module This page inTenTionally lefT blank 119 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze crude oil and natural gas exploration and development on a regional basis (Figure 8). 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[1], 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(2011), (Washington, DC, 2011). The OGSM provides

94

EIA - Assumptions to the Annual Energy Outlook 2009 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2009 Petroleum Market Module Figure 9., Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. Table 11.1. Petroleum Product Categories. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.2. Year Round Gasoline Specifications by Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 11.3. Gasolline Sulfur Content Assumptions, by Region and Gasoline Type, Parts per Million (PPM). Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version

95

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.

96

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

97

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

98

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

99

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

100

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

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101

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.

102

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

103

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.

104

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.

105

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.

106

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.

107

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.

108

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.

109

Computer resources Computer resources  

E-Print Network (OSTI)

Computer resources 1 Computer resources available to the LEAD group Cédric David 30 September 2009 #12;Ouline · UT computer resources and services · JSG computer resources and services · LEAD computers· LEAD computers 2 #12;UT Austin services UT EID and Password 3 https://utdirect.utexas.edu #12;UT Austin

Yang, Zong-Liang

110

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

111

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

112

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.

113

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.

114

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.

115

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.

116

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).

117

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.

118

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)

119

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

120

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

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2009 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight, rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

Note: This page contains sample records for the topic "ogsm resource 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 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

122

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].

123

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

124

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

125

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),

126

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

127

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

128

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

129

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

130

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.

131

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.

132

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

133

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).

134

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).

135

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

136

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.

137

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.

138

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).

139

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.

140

Assumptions to the Annual Energy Outlook 2001 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "ogsm resource 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.


141

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).

142

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

143

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

144

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

145

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

146

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

147

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.

148

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

149

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,

150

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

151

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).

152

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

153

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).

154

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).

155

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

156

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

157

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

158

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

159

Assumptions to the Annual Energy Outlook 2002 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).117 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration,

160

Assumptions to the Annual Energy Outlook 2001 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).112 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration,

Note: This page contains sample records for the topic "ogsm resource 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 - 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.

162

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.

163

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

164

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).

165

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.

166

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.

167

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

168

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).

169

Tools & Resources: Resource Directory  

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

that reduce air emissions. Emissions & Generation Resource Integrated Database (eGRID) A tool that provides data on the environmental characteristics of almost all electric...

170

Publications & Resources, Human Resources  

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

or approved by Brookhaven National Laboratory or the Human Resources Division. Manuals Scientific Staff Manual Supervisors Personnel Manual SBMS Subject Areas Compensation...

171

Assumptions to the Annual Energy Outlook 1999 - Acronyms  

Gasoline and Diesel Fuel Update (EIA)

acronyms.gif (3143 bytes) acronyms.gif (3143 bytes) AEO Annual Energy Outlook AEO98 Annual Energy Outlook 1998 AEO99 Annual Energy Outlook 1999 AFV AFV Alternative-Fuel Vehicle AGA American Gas Association ANGTS Alaskan Natural Gas Transportation System BEA Bureau of Economic Analysis BSC Boiler/Steam/Cogeneration BTU British Thermal Unit CAAA90 Clean Air Act Amendments of 1990 CBECS Commercial Buildings Energy Consumption Surveys CCAP Climate Change Action Plan CDD Cooling Degree-Days CNG Compressed natural gas DOE U.S. Department of Energy DRB Demonstrated Reserve Base DRI Data Resources, Inc./McGraw Hill EER Energy Efficiency Ratio EIA Energy Information Administration EIS Environmental Impact Statement EPA U.S. Environmental Protection Agency EPACT Energy Policy Act of 1992 EWG Exempt Wholesale Generator FAA Federal Aviation Administration

172

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

173

1994 Pacific Northwest Loads and Resources Study.  

Science Conference Proceedings (OSTI)

The 1994 Pacific Northwest Loads and Resources Study presented herein establishes a picture of how the agency is positioned today in its loads and resources balance. It is a snapshot of expected resource operation, contractual obligations, and rights. This study does not attempt to present or analyze future conservation or generation resource scenarios. What it does provide are base case assumptions from which scenarios encompassing a wide range of uncertainties about BPA`s future may be evaluated. The Loads and Resources Study is presented in two documents: (1) this summary of Federal system and Pacific Northwest region loads and resources and (2) a technical appendix detailing the loads and resources for each major Pacific Northwest generating utility. This analysis updates the 1993 Pacific Northwest Loads and Resources Study, published in December 1993. In this loads and resources study, resource availability is compared with a range of forecasted electricity consumption. The Federal system and regional analyses for medium load forecast are presented.

United States. Bonneville Power Administration.

1994-12-01T23:59:59.000Z

174

Hospitality resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

175

Healthcare resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

176

Congregation resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

177

Teacher Resource Center: Curricular Resources  

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

Curricular Resources Curricular Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center provides workshops and consultations on Mathematics and Science Curriculum development. Here are a list of resources for educators. See the 'Customized Workshops" link in the "Teacher's Lounge" for information about more workshops available through the TRC. Key Science Resources for Curriculum Planning Key Science Resources for Curriculum Planning

178

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

179

Wind Resource and Feasibility Assessment Report for the Lummi Reservation  

SciTech Connect

This report summarizes the wind resource on the Lummi Indian Reservation (Washington State) and presents the methodology, assumptions, and final results of the wind energy development feasibility assessment, which included an assessment of biological impacts and noise impacts.

DNV Renewables (USA) Inc.; J.C. Brennan & Associates, Inc.; Hamer Environmental L.P.

2012-08-31T23:59:59.000Z

180

Assumptions to the Annual Energy Outlook 2000 - Oil and Gas Supply...  

Annual Energy Outlook 2012 (EIA)

Resources Table 46. Natural Gas Technically Recoverable Resources Alaskan Natural Gas The outlook for natural gas production from the North Slope of Alaska is affected...

Note: This page contains sample records for the topic "ogsm resource 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

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

182

Technical Resources  

Science Conference Proceedings (OSTI)

AOCS Resource Directory helps members maintain technical excellence in their professions. Technical Resources Analytical Chemistry acid analysis Analytical Chemistry aocs applicants april articles atomic)FluorometryDifferential scanning calorimetry chemi

183

Draft 1992 Resource Program : Technical Report.  

DOE Green Energy (OSTI)

The 1992 Resource Program will propose actions to meet future loads placed on the Bonneville Power Administration (BPA). It will also discuss and attempt to resolve resource-related policy issues. The Resource Program assesses resource availability and costs, and analyzes resource requirements and alternative ways of meeting those requirements through both conservation and generation resources. These general resource conclusions are then translated to actions for both conservation and generation. The Resource Program recommends budgets for the Office of Energy Resources for Fiscal Years (FY) 1994 and 1995. BPA`s Resource Program bears directly on an important BPA responsibility: the obligation under the Northwest Power Act{sup 3} to meet the power requirements of public and private utility and direct service industrial (DSI) customers according to their contractual agreements. BPA`s Draft 1992 Resource Program is contained in four documents: (1) 1992 Resource Program Summary; (2) Technical Report; (3) Technical Assumptions Appendix; and, (4) Conservation Implementation Plan. This volume is the Draft 1992 Resource Program Technical Report, a comprehensive document that provides supporting data and analyses for Resource Program recommendations.

United States. Bonneville Power Administration.

1992-01-01T23:59:59.000Z

184

Draft 1992 Resource Program : Technical Report.  

DOE Green Energy (OSTI)

The 1992 Resource Program will propose actions to meet future loads placed on the Bonneville Power Administration (BPA). It will also discuss and attempt to resolve resource-related policy issues. The Resource Program assesses resource availability and costs, and analyzes resource requirements and alternative ways of meeting those requirements through both conservation and generation resources. These general resource conclusions are then translated to actions for both conservation and generation. The Resource Program recommends budgets for the Office of Energy Resources for Fiscal Years (FY) 1994 and 1995. BPA's Resource Program bears directly on an important BPA responsibility: the obligation under the Northwest Power Act{sup 3} to meet the power requirements of public and private utility and direct service industrial (DSI) customers according to their contractual agreements. BPA's Draft 1992 Resource Program is contained in four documents: (1) 1992 Resource Program Summary; (2) Technical Report; (3) Technical Assumptions Appendix; and, (4) Conservation Implementation Plan. This volume is the Draft 1992 Resource Program Technical Report, a comprehensive document that provides supporting data and analyses for Resource Program recommendations.

United States. Bonneville Power Administration.

1992-01-01T23:59:59.000Z

185

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

186

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

187

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

188

A Review of World Hydrocarbon Resource Assessments  

Science Conference Proceedings (OSTI)

This study reviews assessments of world oil, natural gas, and oil shale resources made between the end of World War II and the end of 1980. Details are provided on the methods used in developing these assessments, geographic coverage, time horizons, and major assumptions (e.g., about discovery rates and recovery factor). Conclusions on the current state of knowledge concerning each of these hydrocarbon resources are presented.

1982-11-01T23:59:59.000Z

189

Safety Resources  

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

Resources Print LBNLPub-3000: Health and Safety Manual Berkeley Lab safety guide, policies and procedures. Environment, Health, and Safety (EH&S) Staff Contact information for the...

190

Biomass Resources  

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

Biomass resources include any plant-derived organic matter that is available on a renewable basis. These materials are commonly referred to as feedstocks.

191

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

192

Wind resource analysis. Annual report  

SciTech Connect

FY78 results of the Wind Resource Analyses task of the ERAB are described. Initial steps were taken to acquire modern atmosphere models of near-surface wind flow and primary data sets used in previous studies of national and regional wind resources. Because numerous assumptions are necessary to interpret available data in terms of wind energy potential, conclusions of previous studies differ considerably. These data analyses may be improved by future SERI research. State-of-the-art atmosphere models are a necessary component of the SERI wind resource analyses capacity. However, these methods also need to be tested and verified in diverse applications. The primary data sets and principal features of the models are discussed.

Hardy, D. M.

1978-12-01T23:59:59.000Z

193

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

194

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

195

Mobile Resources  

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

Mobile Resources Mobile Resources Mobile Resources Have a mobile device? Find tips and information here. Questions? 505-667-5809 Email For information call the Service Desk at (505) 667-5809 or email mobilelibrary@lanl.gov The following resources are optimized for mobile devices or have mobile apps available for download. Resource Available App Mobile Website Available off Yellow Network with Pairing or Login Additional Information AACR Journals Apple Yes, the Journals are optimized for mobile viewing. Not the whole AACR site. Instructional pdf on pairing with voucher ACS Apple Android No American Institute of Physics Apple No American Mathematical Society No Yes Instructions for pairing mobile devices, tablets, laptops, etc. American Physical Society No Annual Reviews No Yes Instructions for pairing with mobile device available on website.

196

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

197

Federal agency resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

198

Multifamily housing resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

199

Entertainment venue resources | ENERGY STAR  

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200

Higher education resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

Note: This page contains sample records for the topic "ogsm resource 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 resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

202

Senior care resources | ENERGY STAR  

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203

Auto dealer resources | ENERGY STAR  

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manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

204

Online Resources  

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

Online Resources Online Resources       General Information Discovering New Physics - Fermilab: where physicists unravel the mysteries of the universe Electromagnetic Simulation: Charged Particle Motion in E/M Field (by Fu-Kwun Hwang, National Taiwan Normal University) Fermilabyrinth - Online versions of exhibits at the Lederman Science Center Fermilab Virtual Tour - Photos of accelerators and detectors with figure captions International Particle Physics Outreach Group (from CERN) Fermilab Homepage - Links to general information, experiments and projects (Fermilab at Work), particle physics (inquiring minds), resources for students (education) and more High-Energy Physics Acronyms - (from Fermilab) Particle Physics - a list of links from the American Physical Society)

205

Center Resources  

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

Resources for Planning Center Activities Resources for Planning Center Activities       QuarkNet at Work - Resources Home QuarkNet is a teacher professional development effort funded by the National Science Foundation and the US Department of Energy. Teachers work on particle physics experiments during a summer and join a cadre of scientists and teachers working to introduce some aspects of their research into their classrooms. This allows tomorrow's particle physicists to peek over the shoulder of today's experimenters. These resources are available for lead teachers and mentors at Quartnet Centers as they design activities for associate teacher workshops and follow-on activities. Important Findings from Previous Years Mentor Tips Associate Teacher Institute Toolkit

206

Resource Directory  

Science Conference Proceedings (OSTI)

Online search and networking tool that connects AOCS members with their peers who share a common technical interest, geographic location, or affinity. Resource Directory Membership Information achievement application award Awards distinguished div

207

Reading Comprehension - Resources  

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

the planet Earth. Food, water, and sunlight are all examples of a natural resource unnatural resource science resource . A natural resource is a material found in...

208

Energy Basics: Biomass Resources  

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

Share this resource Biomass Biofuels Biopower Bio-Based Products Biomass Resources Geothermal Hydrogen Hydropower Ocean Solar Wind Biomass Resources Biomass resources include any...

209

Tools & Resources: Resource Directory  

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

Resource Directory Resource Directory The guidance documents and reports below have been used by Better Buildings Neighborhood Program partners to build their programs and guide them to early successes. The tools and calculators can be used by homeowners, business owners, and program designers to help determine energy savings and other benefits associated with energy efficiency upgrades. Guidance Documents and Reports Background Program Evaluation Program Updates and Lessons Learned Program Design Marketing and Driving Demand Financing and Incentives Workforce Development Partnering with Utilities Technical Resources Tools and Calculators For Homes For Commercial Buildings Emissions and Equivalency Calculators Guidance Documents and Reports Background Recovery Through Retrofit Report

210

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

211

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

212

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

213

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

214

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.

215

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

216

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

217

Methods for regional assessment of geothermal resources  

DOE Green Energy (OSTI)

The techniques in geothermal resource assessment are summarized, terminology and assumptions are clarified, and a foundation for the development of optimum geothermal resource assessment methodology is provided. A logical, sequential subdivision of the geothermal resource base is proposed, accepting its definition as all the heat in the earth's crust under a given area, measured from mean annual temperature. That part of the resource base which is shallow enough to be tapped by production drilling is termed the accessible resource base, and it in turn is divided into useful and residual components. The useful component (i.e., the heat that could reasonably be extracted at costs competitive with other forms of energy at some specified future time) is termed the geothermal resource. This in turn is divided into economic and subeconomic components, based on conditions existing at the time of assessment. In the format of a McKelvey diagram, this logic defines the vertical axis (degree of economic feasibility). The horizontal axis (degree of geologic assurance) contains identified and undiscovered components. Reserve is then designated as the identified economic resource. All categories should be expressed in units of heat, with resource and reserve figures calculated at wellhead, prior to the inevitable large losses inherent in any practical thermal use or in conversion to electricity. Methods for assessing geothermal resources can be grouped into 4 classes: (a) surface thermal flux, (b) volume, (c) planar fracture, and (d) magmatic heat budget. The volume method appears to be most useful.

Muffler, P.; Cataldi, R.

1977-01-01T23:59:59.000Z

218

Executive Resources  

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

The Executive Resources Division provides integrated executive policy and operational personnel support services in a centralized location to the Senior Executive Service (SES), Senior-Level (SL), Scientific and Professional (ST), Excepted Service and political appointees. Additional SES information can be found on the SES website which is located on the Office of Personnel Managements (OPM) website.

219

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

220

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

Note: This page contains sample records for the topic "ogsm resource 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

Teacher Resource Center: Fermilab Web Resources  

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

Fermilab Web Resources Fermilab Web Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The following materials are on the webserver. Fermilab Resources for Students - You might bookmark some of these resources to give your students easy access to information. Fermilab Resources for Students - You might bookmark some of these resources to give your students easy access to information. Photographs and video clips from Fermilab's Visual Media Services

222

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

223

The National Energy Modeling System: An Overview 1998 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

OIL AND GAS SUPPLY MODULE OIL AND GAS SUPPLY MODULE blueball.gif (205 bytes) Lower 48 Onshore and Shallow Offshore Supply Submodule blueball.gif (205 bytes) Deep Water Offshore Supply Submodule blueball.gif (205 bytes) Alaska Oil and Gas Submodule blueball.gif (205 bytes) Enhanced Oil Recovery Submodule blueball.gif (205 bytes) Foreign Natural Gas Supply Submodule The oil and gas supply module (OGSM) consists of a series of process submodules that project the availability of: Domestic crude oil production and dry natural gas production from onshore, offshore, and Alaskan reservoirs Imported pipeline-quality gas from Mexico and Canada Imported liquefied natural gas. The OGSM regions are shown in Figure 12. The driving assumption of the OGSM is that domestic oil and gas exploration and development are undertaken if the discounted present value of the

224

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).

225

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).

226

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

227

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.

228

Image Resources  

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

Mosaic of earth and sky images Mosaic of earth and sky images Image Resources Free image resources covering energy, environment, and general science. Here are some links to energy- and environment-related photographic databases. Berkeley Lab Photo Archive Berkeley Lab's online digital image collection. National Science Digital Library (NSDL) NSDL is the Nation's online library for education and research in science, technology, engineering, and mathematics. The World Bank Group Photo Library A distinctive collection of over 11,000 images that illustrate development through topics such as Agriculture, Education, Environment, Health, Trade and more. Calisphere Compiles the digital collections of libraries, museums, and cultural heritage organizations across California, and organizes them by theme, such

229

Teacher Resources  

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

Resources Resources Teacher Programs JLab Science Activities for Teachers - An afternoon science program for 5th, 6th and 8th grade teachers. [Program Dates: September 2013 - May 2014] Teacher Night at Jefferson Lab - Teacher Night will be held on April 2nd, 2014. Please sign-up by March 19th, 2014! Education Events Physics Fest - Cryogenics, electricity and more! Reserve your space today! Science Series - Science lectures for high school and middle school students! [Video Archive] Education Events Mailing List - An electronic mailing list to keep you informed of Jefferson Lab's public education events! Workshops and Local Groups The Virginia Section of the American Nuclear Society - Single and multi-day workshops on the science of nuclear energy and radiation.

230

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

231

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.

232

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

233

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

234

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.

235

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

236

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

237

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

238

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

239

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

240

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

Note: This page contains sample records for the topic "ogsm resource 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

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

242

Energy Basics: Geothermal Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Direct Use Electricity Production Geothermal Resources Hydrogen Hydropower Ocean...

243

Energy Basics: Hydropower Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Large-Scale Hydropower Microhydropower Hydropower Resources...

244

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

245

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

246

Building Technologies Office: Resources  

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

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

247

K-12 school resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

248

Sector-specific resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

249

Grocery & convenience stores resources | ENERGY STAR  

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

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

250

NREL: Renewable Resource Data Center - Solar Resource Data  

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

Solar Resource Data The following solar resource data collections can be found in the Renewable Resource Data Center (RReDC). Cooperative Networks for Renewable Resource...

251

Clean Cities: Information Resources  

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

Information Resources Information Resources Printable Version Share this resource Send a link to Clean Cities: Information Resources to someone by E-mail Share Clean Cities: Information Resources on Facebook Tweet about Clean Cities: Information Resources on Twitter Bookmark Clean Cities: Information Resources on Google Bookmark Clean Cities: Information Resources on Delicious Rank Clean Cities: Information Resources on Digg Find More places to share Clean Cities: Information Resources on AddThis.com... Publications Technical Assistance Information Resources Learn about Clean Cities by exploring these information resources. Publications View Clean Cities-branded publications or search for publications about alternative fuels and vehicles. Technical Assistance Learn about technical assistance available to help organizations overcome

252

Industrial Applications of Renewable Resources  

Science Conference Proceedings (OSTI)

Archive of Industrial Applications of Renewable Resources Industrial Applications of Renewable Resources Cincinnati, Ohio, USA Industrial Applications of Renewable Resources ...

253

Solar radiation resource assessment  

DOE Green Energy (OSTI)

The bulletin discusses the following: introduction; Why is solar radiation resource assessment important Understanding the basics; the solar radiation resource assessment project; and future activities.

Not Available

1990-11-01T23:59:59.000Z

254

Cultural resources GIS.  

E-Print Network (OSTI)

??Cultural resources are inherently spatial entities, and the paper based inventory systems that have prevailed for cultural resources have been relatively effective at recording and (more)

Clark, Kinney E.

2006-01-01T23:59:59.000Z

255

Energy Basics: Ocean Resources  

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

Resources Although the potential for ocean energy technologies is believed to be very large, no comprehensive studies have been conducted to date to determine an accurate resource...

256

Drivers and Resources  

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

Drivers and Resources Regulatory Drivers National Laws Executive Orders DOE Orders and Directives Information Resources DOE P2 Web Sites Other P2 Web Sites Environmental...

257

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

258

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

259

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

260

Business and Technical Resources  

Science Conference Proceedings (OSTI)

Business and Technical Resources. Small Business Administration. The SBA provides information on programs for starting ...

2012-06-19T23:59:59.000Z

Note: This page contains sample records for the topic "ogsm resource assumptions" from the National Library of EnergyBeta (NLEBeta).
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261

Teacher Resource Center: Science Fair Resources  

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

Science Fair Resources Science Fair Resources TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center collection is available for use onsite. The TRC is a member of the DuPage Library System. This list was prepared for a presentation to several regional library systems. The Science Fair and Beyond, was presented by Susan Dahl, sdahl@fnal.gov, 630-840-3094. (links checked October 27, 2009) See the 'Customized Workshops" link in the "Teacher's Lounge" for information about more workshops available through the TRC. Explore the Education Office website for other opportunities and services.

262

Education: Digital Resource Center -- Ceramics: Web resources  

Science Conference Proceedings (OSTI)

Glossary of cement/ceramic terminology plus high school lesson plans and resources, 0 ... WEB: Ceramic Glossary Ceramic Terminology and Abbreviations...

263

1991 Pacific Northwest Loads and Resources Study, Technical Appendix: Volume 1.  

Science Conference Proceedings (OSTI)

This publication provides detailed documentation of the load forecast scenarios and assumptions used in preparing BPA's 1991 Pacific Northwest Loads and Resources Study (the Study). This is one of two technical appendices to the Study; the other appendix details the utility-specific loads and resources used in the Study. The load forecasts and assumption were developed jointly by Bonneville Power Administration (BPA) and Northwest Power Planning Council (Council) staff. This forecast is also used in the Council's 1991 Northwest Conservation and Electric Power Plan (1991 Plan).

United States. Bonneville Power Administration.

1992-03-01T23:59:59.000Z

264

Teacher Resource Center  

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

Teacher Resource Center: Putting It All Together Teacher Resource Center: Putting It All Together TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources The Teacher Resource Center provides a preview collection of K-12 instructional materials. TRC services include professional development workshops, consultation assistance, bibliographies and reference assistance. Educators have access to curriculum materials, books, multimedia, educational supply catalogs, periodicals and newsletters. The collection

265

Treatment of Solar Generation in Electric Utility Resource Planning (Presentation)  

Science Conference Proceedings (OSTI)

Today's utility planners have a different market and economic context than their predecessors, including planning for the growth of renewable energy. Through interviews and a questionnaire, the authors gathered information on utility supply planning and how solar is represented. Utilities were asked to provide their resource planning process details, key assumptions (e.g. whether DG is represented as supply or negative load), modeling methodology (e.g. type of risk analytics and candidate portfolio development), capacity expansion and production simulation model software, and solar project representation (project size, capacity value and integration cost adder). This presentation aims to begin the exchange of information between utilities, regulators and other stakeholders by capturing utility-provided information about: 1) how various utilities approach long-range resource planning; 2) methods and tools utilities use to conduct resource planning; and, 3) how solar technologies are considered in the resource planning process.

Cory, K.; Sterling, J.; Taylor, M.; McLaren, J.

2014-01-01T23:59:59.000Z

266

Transmission/Resource Library/Enviromental Resources and Mitigation...  

Open Energy Info (EERE)

Resources and Mitigation < Transmission | Resource Library(Redirected from TransmissionResource LibraryMitigation) Redirect page Jump to: navigation, search REDIRECT...

267

Solar Resource Assessment  

DOE Green Energy (OSTI)

This report covers the solar resource assessment aspects of the Renewable Systems Interconnection study. The status of solar resource assessment in the United States is described, and summaries of the availability of modeled data sets are provided.

Renne, D.; George, R.; Wilcox, S.; Stoffel, T.; Myers, D.; Heimiller, D.

2008-02-01T23:59:59.000Z

268

Energy Resource Library  

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

The Office of Indian Energy resource library provides links to helpful resources for Tribes on energy project development and financing in Indian Country. The library includes links to more than 85...

269

Enabling Materials Resource Sustainability  

Science Conference Proceedings (OSTI)

Mar 6, 2013 ... REWAS 2013: Enabling Materials Resource Sustainability: Enabling Sustainability through Education and Consumer Awareness Sponsored...

270

Web Resources - TMS  

Science Conference Proceedings (OSTI)

New Messages, Rating, WEB RESOURCE: Research on Nuclear Wastes French Atomic Energy Commission. Strategies for radioactive waste management, 0...

271

Electronic Materials: Web resources  

Science Conference Proceedings (OSTI)

Jan 11, 2008 ... WEB: NETWORKS MATEC, Maricopa Community Colleges. NSF resource center focused on semiconductor and electronics education, 0, 811...

272

Live Working Resource Center  

Science Conference Proceedings (OSTI)

This report is a summary of work performed in 2008 on the EPRI Live Working Resource Center (LWRC) web site.

2008-12-16T23:59:59.000Z

273

Geothermal Energy Resources (Louisiana)  

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

Louisiana developed policies regarding geothermal stating that the state should pursue the rapid and orderly development of geothermal resources.

274

Fort Stewart integrated resource assessment. Volume 3: Resource assessment  

SciTech Connect

The US Army Forces Command (FORSCOM) has tasked the US Department of Energy (DOE) Federal Energy Management Program (FEMP), supported by the Pacific Northwest Laboratory, to identify, evaluate, and assist in acquiring all cost-effective energy projects at Fort Stewart. This is part of a model program that PNL is designing to support energy-use decisions in the federal sector. This report provides the results of the fossil fuel and electric energy resource opportunity (ERO) assessments performed by PNL at the FORSCOM Fort Stewart facility located approximately 25 miles southwest of Savannah, Georgia. It is a companion report to Volume 1, Executive Summary, and Volume 2, Baseline Detail. The results of the analyses of EROs are presented in 11 common energy end-use categories (e.g., boilers and furnaces, service hot water, and building lighting). A narrative description of each ERO is provided, along with a table detailing information on the installed cost, energy and dollar savings; impacts on operations and maintenance (O&M); and, when applicable, a discussion of energy supply and demand, energy security, and environmental issues. A description of the evaluation methodologies and technical and cost assumptions is also provided for each ERO. Summary tables present the cost-effectiveness of energy end-use equipment before and after the implementation of each ERO. The tables also present the results of the life-cycle cost (LCC) analysis indicating the net present value (NPV) and savings to investment ratio (SIR) of each ERO.

Sullivan, G.P.; Keller, J.M.; Stucky, D.J.; Wahlstrom, R.R.; Larson, L.L.

1993-10-01T23:59:59.000Z

275

Wildlife Resources | Open Energy Information  

Open Energy Info (EERE)

Wildlife Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleWildlifeResources&oldid612286" Category: NEPA Resources What links here...

276

Information Resources - EERE Commercialization Office  

Information Resources. Here you will find various informational resources related to the commercialization of clean energy technologies. Hawaiian ...

277

Information Resources - EERE Commercialization Office  

Information Resources. Here you will find various informational resources related to the commercialization of clean energy technologies. Hawaiian Renewable Energy ...

278

Resource Adequacy Capacity - Power Marketing - Sierra Nevada...  

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

Resource Adequacy Capacity Resource Adequacy Capacity Resource Adequacy Plan - Current Local Resource Adequacy Plan (Word - 175K) - Notice of Proposed Final Resource Adequacy Plan...

279

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

280

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

Note: This page contains sample records for the topic "ogsm resource 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

Office of Resource Management  

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

Resource Management Resource Management Home Sub Offices › Business Operations › Information Management › Human Resources and Administration Mission and Functions HSS Standard Operating Practices (For Internal Users Only) HSS Subject Matter Experts and Functional Points of Contacts Contact Us HSS Logo Office of Resource Management Direct Report to the Chief Health, Safety and Security Officer Mission and Functions Mission The Office of Resource Management supports the infrastructure of the Office of Health, Safety and Security (HSS) by providing balanced, unbiased, technically competent, and customer focused services in the areas of: (1) Financial Management, including budget formulation and execution; (2) Procurement Management, including contract and credit card programs; (3) Information Management, including technology-based solutions and programs; (4) Quality Assurance; (5) Human Resources, including recruitment and retention programs; (6) Administrative Services, including property management, travel, and work space management; and; (7) Strategic and Program Planning including performance and efficiency measures.

282

Contact List, Human Resources  

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

Human Resources & Occupational Medicine Division Human Resources & Occupational Medicine Division Contact List Human Resources Guest, User, Visitor (GUV) Center Occupational Medicine Training and Qualifications Office Note: All listed phone extensions are in the format of (631) 344-xxxx. Human Resources Robert Lincoln, Chief Human Resources Officer x7435 rlincoln@bnl.gov Margaret Hughes x2108 hughes@bnl.gov Elizabeth Gilbert x2315 gilbert@bnl.gov Human Resources Generalists Christel Colon, HR Manager - BES, GARS & ELS x8469 ccolon@bnl.gov Joann Williams, HR Manager - Support Operations x8356 williamsj@bnl.gov Joanna Hall, HR Manager - Photon Sciences x4410 jhall@bnl.gov Donna Dowling, HR Manager - Nuclear & Particle Physics x2754 dowling@bnl.gov Terrence Buck x8715 tbuck@bnl.gov

283

CMPC Marking Resource  

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

June 2012 June 2012 CMPC Marking Resource: Examples of Acceptably Marked Classified Matter June 2012 CMPC Marking Resource Examples of Acceptably Marked Classified Matter June 2012 Prepared for U.S. Department of Energy Office of Health, Safety and Security Office of Security Policy CMPC Marking Resource: Examples of Acceptably Marked Classified Matter June 2012 i FOREWORD A strong and cohesive information security program is integral to national security. The

284

Distributed Resource Integration Framework  

Science Conference Proceedings (OSTI)

This report defines a framework for assessing current issues and considerations associated with the deployment and operation of distributed resources. The framework is a guide that can assist utility personnel, distributed resource owners, and other stakeholders in planning integration projects and in relating different integration projects to one another. The framework provides a structured organization of the various elements associated with distributed resource integration, including regulatory, busin...

2009-12-23T23:59:59.000Z

285

BCDA SPEC Resources  

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

Software * Group Info * Sector Contacts * Knowledge Base * Meetings * Mailing list * APS PV Information * EPICS Naming Convention Print this page APS SPEC Resources The APS has a...

286

Post-2014 Resource Allocations  

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

Post-2014 Resource Allocations Post-2014 Resource Allocations On December 17, 2010, Western Area Power Administration's Rocky Mountain Region published its Post-2014 Resource Pool-Loveland Area Projects (LAP), Allocation Procedures and Call for Applications (75 FR 78988). Through the Post-2014 Resource Pool (Resource Pool), Western will allocate up to 1 percent of the LAP long-term firm hydroelectric resource available as of October 1, 2014, that is estimated to be approximately 6.9 megawatts for the summer season and 6.1 megawatts for the winter season. The Resource Pool will be created by reducing existing customers' allocations by up to 1 percent. A public information forum was held on February 2, 2011, prior to the application deadline, which was March 4, 2011. Of the seven applications received, Western determined that six of the applicants met the Resource Pool General Eligibility Criteria. Western published the Resource Pool proposed power allocation and initiated a public comment period in the Federal Register (76 FR 45551, July 29, 2011). A public comment forum on the proposed power allocation was held August 25, 2011, and public comments were due to Western by September 12, 2011. There were no comments received during the public comment period.

287

Resources | Department of Energy  

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

Roundtables START Program Technical Assistance Tribal Energy Program Tribal Summit The Office of Indian Energy provides the following resources to assist Tribes with energy...

288

Energy Basics: Geothermal Resources  

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

EERE: Energy Basics Geothermal Resources Although geothermal heat pumps can be used almost anywhere, most direct-use and electrical production facilities in the United States are...

289

Geothermal Resources Council's ...  

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

Geothermal Resources Council's 36 th Annual Meeting Reno, Nevada, USA September 30 - October 3, 2012 Advanced Electric Submersible Pump Design Tool for Geothermal Applications...

290

Energy Basics: Ocean Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Ocean Thermal Energy Conversion Tidal Energy Wave Energy...

291

Air Resources Board  

E-Print Network (OSTI)

The Air Resources Board (the Board or ARB) will conduct a public hearing at the time and place noted below to consider amendments to the Verifkztion

unknown authors

2003-01-01T23:59:59.000Z

292

Air Resources Board  

E-Print Network (OSTI)

The Air Resources Board (the Board or ARB) will conduct a public hearing at the time and place noted below to consider amendments to the Verification

unknown authors

2003-01-01T23:59:59.000Z

293

NREL: Energy Storage - Resources  

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

Resources The National Renewable Energy Laboratory's (NREL) Energy Storage team and partners work within a variety of programs that have created test manuals to establish standard...

294

Teacher Resource Center: sciencelines  

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

the Data at Fermilab Fermilab's Birds Fermilab Bison Harvesting the Prairie Fermilab ARISE Project Resources Cancer Education Elementary and Midlevel School Science Powers of Ten...

295

Restaurant resources | ENERGY STAR  

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

Restaurant resources Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial...

296

resources and activities  

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

Fourth Annual Educational Software Review The Teacher Resource Center and the Mathematics and Science Consortia of North Central Regional Educational Laboratory held its...

297

Resources and Activities  

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

1996 Software Review The Teacher Resource Center and the Demonstration Site for the Mathematics and Science Consortia of North Central Regional Education Laboratory held its...

298

Section Administration and Resources  

Science Conference Proceedings (OSTI)

Section Information, Membership, Newsletters and Awards Section Administration and Resources Awards Program aocs award Awards baldwin fats global inform job listings member membership network oils ...

299

Web Resources - TMS  

Science Conference Proceedings (OSTI)

WEB RESOURCE: Waste Isolation Pilot Plant (WIPP) DOE. World's ... Proposed radiation protection standards, 0, 594, Lynne Robinson, 5/15/2007 11:24 AM

300

Information Resources: Registration  

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

of Energy - Energy Efficiency and Renewable Energy Building Technologies Program - Information Resources Registration Online registration for the 2012 DOE SSL Market Introduction...

Note: This page contains sample records for the topic "ogsm resource assumptions" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

WEB RESOURCE: Radioactive Waste  

Science Conference Proceedings (OSTI)

May 8, 2007 ... This resource offers a a very broad explanation of how the Belgian Agency for Management of Radioactive Waste and Enriched Fissile Material...

302

Energy Resource Potential  

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

Resource Potential Resource Potential of Methane Hydrate Energy Resource Potential An introduction to the science and energy potential of a unique resource Disclaimer Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.

303

Natural Resources in China Water resources  

E-Print Network (OSTI)

. Large reserves of coal, but natural gas and oil are becoming scarce. Import approximately the same, petroleum, natural gas, uranium, etc. Metallic mineral resources include iron, copper, tungsten, aluminum in the production of petrochemicals Materials produced from natural gas or crude oil, such as plastics

Pan, Feifei

304

Partner Violence Resources  

E-Print Network (OSTI)

Objective: Little is known about availability of resources for managing intimate partner violence (IPV) at rural hospitals. We assessed differences in availability of resources for IPV screening and management between rural and urban emergency departments (EDs) in Oregon. Methods: We conducted a standardized telephone interview of Oregon ED directors and nurse managers on six IPV-related resources: official screening policies, standardized screening tools, public displays regarding IPV, on-site advocacy, intervention checklists and regular clinician education. We used chi-square analysis to test differences in reported resource availability between urban and rural EDs. Results: Of 57 Oregon EDs, 55 (96%) completed the survey. A smaller proportion of rural EDs, compared to urban EDs, reported official screening policies (74 % vs. 100%, p=0.01), standardized screening instruments (21 % vs. 55%, p=0.01), clinician education (38 % vs. 70%, p=0.02) or on-site violence advocacy (44 % vs. 95%, prural EDs had none or one of the studied resources, 50 % had two or three, and 24 % had four or more (vs. 0%, 35%, and 65% in urban EDs, p=0.003). Small, remote rural hospitals had fewer resources than larger, less remote rural hospitals or urban hospitals. Conclusion: Rural EDs have fewer resources for addressing IPV. Further work is needed to identify specific barriers to obtaining resources for IPV management that can be used in all hospital settings. [West J Emerg Med. 2011;12(2):178-183.

Esther K. Choo; Craig D. Newgard; Robert A. Lowe; Michael K. Hall; K John Mcconnell

2010-01-01T23:59:59.000Z

305

Deepwater Oil & Gas Resources  

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

The United States has significant natural gas and oil reserves. But many of these resources are increasingly harder to locate and bring into production. To help meet this challenge, the U.S. Department of Energys Office of Fossil Energy over the years has amassed wide ranging expertise in areas related to deepwater resource location, production, safety and environmental protection.

306

Live Working Resource Center  

Science Conference Proceedings (OSTI)

EPRI created the Live Working Resource Center web site to provide utilities the critical information they need to conduct live work safely and efficiently. This report is a summary of work performed in 2007 on the web site. See EPRI's Live Working Resource Center.

2007-11-30T23:59:59.000Z

307

Teacher Resource Kit  

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

Teacher Resource Kit Teacher Resource Kit This kit is designed as a resource for teachers who teach grades K-5. It is intended to provide information about the Laboratory and our education resources and to introduce activities that may be useful in the classroom. The kit contains information about the Laboratory's history and current research activities. You will find information applicable to various grade levels that can be tailored to the grade level that you currently teach. Also included are materials and activities that have been obtained from sources outside the Laboratory. Requesting support from Los Alamos National Laboratory The Laboratory and its employees consider it their responsibility to devote resources to improving the quality of life

308

Tri-Lab Resources  

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

Tri-Lab Resources Tri-Lab Resources Tri-Lab Computing Resources Computing resources available to Alliance users as of January 2012. Computing resources available Los Alamos Moonlight - 294 compute nodes, 4,704 cores, 488 TF system. Dual 8-core Intel Xeon (Sandy Bridge) processors with two NVIDIA Tesla GPUs per node, w/ InfiniBand. Mustang - 1,600 compute nodes, 38,400 cores, 353 TF system. 24-core AMD Opteron w/ InfiniBand. Mapache - 592 compute nodes, 4,736 cores, 50.4 TF system. SGI XE1300 dual-socket, quad-core Intel Nehalem processors w/ InfiniBand. Pinto - 154 compute nodes, 2,464 cores, 51.3 TF system. Dual 8-core Intel Xeon (Sandy Bridge) processors w/ Infiniband. Lawrence Livermore Cab - 1,296 nodes, 20,736 cores, 333-TF system. Dual 8-core Intel Xeon (Sandy Bridge) processors w/ InfiniBand. Additional information at Cab

309

Managing Carbon Regulatory Risk in Utility Resource Planning: Current  

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

Managing Carbon Regulatory Risk in Utility Resource Planning: Current Managing Carbon Regulatory Risk in Utility Resource Planning: Current Practices in the Western United States Title Managing Carbon Regulatory Risk in Utility Resource Planning: Current Practices in the Western United States Publication Type Report Year of Publication 2009 Authors Barbose, Galen L., Ryan H. Wiser, Amol Phadke, and Charles A. Goldman Pagination 28 Date Published 03/2009 Publisher LBNL City Berkeley Keywords carbon emissions, electric utilities, electricity markets and policy group, energy analysis and environmental impacts department, power system planning Abstract Concerns about global climate change have substantially increased the likelihood that future policy will seek to minimize carbon dioxide emissions. As such, even today, electric utilities are making resource planning and investment decisions that consider the possible implications of these future carbon regulations. In this article, we examine the manner in which utilities assess the financial risks associated with future carbon regulations within their long-term resource plans. We base our analysis on a review of the most recent resource plans filed by fifteen electric utilities in the Western United States. Virtually all of these utilities made some effort to quantitatively evaluate the potential cost of future carbon regulations when analyzing alternate supply- and demandside resource options for meeting customer load. Even without Federal climate regulation in the U.S., the prospect of that regulation is already having an impact on utility decision-making and resource choices. That said, the methods and assumptions used by utilities to analyze carbon regulatory risk, and the impact of that analysis on their choice of a particular resource strategy, vary considerably, revealing a number of opportunities for analytic improvement. Though our review focuses on a subset of U.S. electric utilities, this work holds implications for all electric utilities and energy policymakers

310

A National Resource  

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

National Resource National Resource for Industry Manufacturing DeMonstration facility As the nation's premier research laboratory, Oak Ridge National Laboratory is one of the world's most capable resources for transforming the next generation of scientific discovery into solutions for rebuilding and revitalizing America's manufacturing industries. These industries call upon ORNL's expertise in materials synthesis, characterization, and process technology to reduce risk and accelerate the development and deployment of innovative energy-efficient manufacturing processes and materials targeting products of the future. The Department of Energy's first Manufacturing Demonstration Facility (MDF), established at ORNL, helps industry adopt new manufacturing technologies to reduce life-cycle energy and

311

NREL: Renewable Resource Data Center - Geothermal Resource Information  

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

Renewable Resource Data Center Search More Search Options Site Map Printable Version Geothermal Resource Information Photo of the Hot Springs Lodge and Pool. The Hot Springs Lodge...

312

Depleted UF6 Internet Resources  

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

DUF6 Guide DU Uses DUF6 Management and Uses DUF6 Conversion EIS Documents News FAQs Internet Resources Glossary Home Internet Resources Depleted UF6 Internet Resources Links...

313

Employee Resource Groups | Department of Energy  

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

Services Diversity and Inclusion Employee Resource Groups Employee Resource Groups Diversity and Inclusion Employee Resource Groups Related Documents Special Emphasis...

314

Pathway and Resource Overview  

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

Pathway and Resource Overview Pathway and Resource Overview Delivering Renewable Hydrogen Workshop - A Focus on Near-Term Applications Mark F. Ruth November 16, 2009 Palm Springs, CA NREL/PR-6A1-47108 National Renewable Energy Laboratory Innovation for Our Energy Future Definition and Presentation Outline Hydrogen pathway analysis is analysis of the total levelized cost (including return on investment), well-to- wheels (WTW) energy use, and WTW emissions for hydrogen production, delivery, and distribution pathways. This presentation focuses on * Pathway analyses using the Macro-System Model (MSM) * Resource and pathway analysis using the Hydrogen Demand and Resource Analysis Tool (HyDRA) * Status of water-electrolysis technology

315

Automated cloud resource orchestration  

Science Conference Proceedings (OSTI)

Realizing Infrastructure-as-a-Service (IaaS) cloud requires a control platform for orchestrating the provisioning, configuration, management and decommissioning of a distributed set of diverse cloud resources (i.e., compute, storage, network) serving ...

Changbin Liu / Boon Thau Loo

2012-01-01T23:59:59.000Z

316

Resources Process Contaminants  

Science Conference Proceedings (OSTI)

General Information on process contaminants(3-MCPD). Reference list included. Resources Process Contaminants 3-MCPD 2-diol 3-MCPD 3-MCPD Esters 3-monochloropropane-1 acid analysis aocs april articles certified chemists chloropropanediol contaminants dete

317

resources.html  

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

The First International Powers of Ten Day October 10, 2000 A richness of resources for math, science, social studies and the arts await educators and lifelong learners in the...

318

special events and resources  

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

and Resources School and Fermilab Prairie Data Fermilab is putting prairie and bird data on the Web so it can be accessed by the general public, especially students and...

319

Solar Energy Resources  

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

Solar radiation, often called the solar resource, is a general term for the electromagnetic radiation emitted by the sun. Solar radiation can be captured and turned into useful forms of energy,...

320

Manhattan Project: Resources  

Office of Scientific and Technical Information (OSTI)

page is original to the Department of Energy's Office of History and Heritage Resources. Home | History Office | OpenNet | DOE | Privacy and Security Notices About this Site | How...

Note: This page contains sample records for the topic "ogsm resource 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

AIR RESOURCES BOARD Acknowledgements  

E-Print Network (OSTI)

This report was prepared with the assistance and support from other agencies, divisions and offices of the Air Resources Board, and private firms. Staff would especially like to thank the following individuals for their assistance in developing this proposed pathway:

Green Wastes; Green Wastes; Richard Corey; Deputy Executive Officer; Cynthia Marvin Chief; Michael Waugh Chief; Kamal Ahuja; Brian Helmowski; Wes Ingram; Ray Asregadoo (arb; Juliet Bohn (hwma; Richard Boyd (arb; Alicia Chakrabarthy (ebmud; Steven Cliff (arb; Kevin Dickison (ebmud; Jacques Franco (calrecycle

2012-01-01T23:59:59.000Z

322

Resources for Process Contaminants  

Science Conference Proceedings (OSTI)

Detailed information regarding 3-MCPD esters and a reference list by topic. Resources for Process Contaminants 3-MCPD 2-diol 3-MCPD 3-MCPD Esters 3-monochloropropane-1 acid analysis aocs april articles certified chemists chloropropanediol contaminants de

323

Resources for Partners  

SciTech Connect

This DOE Industrial Technologies Program fact sheet describes the resources and opportunities available to partners how manufacturing plants can save energy and money by making energy efficiency improvements to their industrial process heating systems.

2006-02-01T23:59:59.000Z

324

Manhattan Project Historical Resources  

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

The Department of Energyhas developed and made available to the public--in print, online, and on display--a variety of Manhattan Project historical resources. These include histories, websites,...

325

MANHATTAN PROJECT HISTORICAL RESOURCES  

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

The Department of Energyhas developed and made available to the public--in print, online, and on display--a variety of Manhattan Project historical resources. These include histories, websites,...

326

Wind Resource Maps (Postcard)  

DOE Green Energy (OSTI)

The U.S. Department of Energy's Wind Powering America initiative provides high-resolution wind maps and estimates of the wind resource potential that would be possible from development of the available windy land areas after excluding areas unlikely to be developed. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to Wind Powering America's online wind energy resource maps.

Not Available

2011-07-01T23:59:59.000Z

327

resource | OpenEI Community  

Open Energy Info (EERE)

resource Home Rmckeel's picture Submitted by Rmckeel(297) Contributor 26 September, 2012 - 15:36 Energy API and dataset overview cleanweb hackathon resource webinar Today,...

328

Additional Resources | Department of Energy  

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

Additional Resources Additional Resources Additional Resources October 16, 2013 - 4:36pm Addthis The following resources are focused on Federal new construction and major renovation projects, sustainable construction, and the role of renewable energy technologies in such facilities. These resources are organized by: Resource Guides Renewable Energy Planning Planning Construction Operations and Maintenance Commissioning Sample Plans and Documents Resource Guides Whole Building Design Guide (WBDG) WBDG: New Construction and Major Renovation Guiding Principles (WBDG) Leadership in Energy and Environmental Design (LEED) New Construction and Major Renovation Reference Guide Greening Federal Facilities: An Energy, Environmental, and Economic Resource Guide for Federal Facility Managers and Designers

329

Energy Basics: Wind Energy Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Solar Wind Wind Turbines Wind Resources Wind Energy...

330

Archives and History Office: Resources  

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

Resources Resources Information from the SLAC Archives and History Office can be found using the following tools. Historical Photographs provides an interface to our photograph...

331

Geothermal Resources | Department of Energy  

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

Geothermal Resources Geothermal Resources August 14, 2013 - 1:58pm Addthis Although geothermal heat pumps can be used almost anywhere, most direct-use and electrical production...

332

Resource Allocation with Time Intervals  

E-Print Network (OSTI)

0 , tj > sj, is assigned such that the resource consumption occurs only ... project requires an amount wj of a limited resource such as labor, workspace or energy.

333

NATURAL RESOURCES ASSESSMENT  

DOE Green Energy (OSTI)

The purpose of this report is to summarize the scientific work that was performed to evaluate and assess the occurrence and economic potential of natural resources within the geologic setting of the Yucca Mountain area. The extent of the regional areas of investigation for each commodity differs and those areas are described in more detail in the major subsections of this report. Natural resource assessments have focused on an area defined as the ''conceptual controlled area'' because of the requirements contained in the U.S. Nuclear Regulatory Commission Regulation, 10 CFR Part 60, to define long-term boundaries for potential radionuclide releases. New requirements (proposed 10 CFR Part 63 [Dyer 1999]) have obviated the need for defining such an area. However, for the purposes of this report, the area being discussed, in most cases, is the previously defined ''conceptual controlled area'', now renamed the ''natural resources site study area'' for this report (shown on Figure 1). Resource potential can be difficult to assess because it is dependent upon many factors, including economics (demand, supply, cost), the potential discovery of new uses for resources, or the potential discovery of synthetics to replace natural resource use. The evaluations summarized are based on present-day use and economic potential of the resources. The objective of this report is to summarize the existing reports and information for the Yucca Mountain area on: (1) Metallic mineral and mined energy resources (such as gold, silver, etc., including uranium); (2) Industrial rocks and minerals (such as sand, gravel, building stone, etc.); (3) Hydrocarbons (including oil, natural gas, tar sands, oil shales, and coal); and (4) Geothermal resources. Groundwater is present at the Yucca Mountain site at depths ranging from 500 to 750 m (about 1,600 to 2,500 ft) below the ground surface. Groundwater resources are not discussed in this report, but are planned to be included in the hydrology section of future revisions of the ''Yucca Mountain Site Description'' (CRWMS M&O 2000c).

D.F. Fenster

2000-12-11T23:59:59.000Z

334

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

335

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

336

Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios  

SciTech Connect

This paper introduces a technique for digesting geospatial wind-speed data into areally defined -- country-level, in this case -- wind resource supply curves. We combined gridded wind-vector data for ocean areas with bathymetry maps, country exclusive economic zones, wind turbine power curves, and other datasets and relevant parameters to build supply curves that estimate a country's offshore wind resource defined by resource quality, depth, and distance-from-shore. We include a single set of supply curves -- for a particular assumption set -- and study some implications of including it in a global energy model. We also discuss the importance of downscaling gridded wind vector data to capturing the full resource potential, especially over land areas with complex terrain. This paper includes motivation and background for a statistical downscaling methodology to account for terrain effects with a low computational burden. Finally, we use this forum to sketch a framework for building synthetic electric networks to estimate transmission accessibility of renewable resource sites in remote areas.

Arent, D.; Sullivan, P.; Heimiller, D.; Lopez, A.; Eurek, K.; Badger, J.; Jorgensen, H. E.; Kelly, M.; Clarke, L.; Luckow, P.

2012-10-01T23:59:59.000Z

337

Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios  

DOE Green Energy (OSTI)

This paper introduces a technique for digesting geospatial wind-speed data into areally defined -- country-level, in this case -- wind resource supply curves. We combined gridded wind-vector data for ocean areas with bathymetry maps, country exclusive economic zones, wind turbine power curves, and other datasets and relevant parameters to build supply curves that estimate a country's offshore wind resource defined by resource quality, depth, and distance-from-shore. We include a single set of supply curves -- for a particular assumption set -- and study some implications of including it in a global energy model. We also discuss the importance of downscaling gridded wind vector data to capturing the full resource potential, especially over land areas with complex terrain. This paper includes motivation and background for a statistical downscaling methodology to account for terrain effects with a low computational burden. Finally, we use this forum to sketch a framework for building synthetic electric networks to estimate transmission accessibility of renewable resource sites in remote areas.

Arent, D.; Sullivan, P.; Heimiller, D.; Lopez, A.; Eurek, K.; Badger, J.; Jorgensen, H. E.; Kelly, M.; Clarke, L.; Luckow, P.

2012-10-01T23:59:59.000Z

338

Establishing Regional Resource Centers  

Wind Powering America (EERE)

Establishing Regional Resource Centers Establishing Regional Resource Centers July 25, 2013 Coordinator: Welcome and thank you for standing by. At this time all participants are in a listen only mode. To ask a question later during the question and answer session please press star then 1 on your touchtone phone. Today's conference is being recorded. If you have any objections you may disconnect. And I would like to turn it over to Mr. Jonathan Bartlett. Sir, you may begin. Jonathan Bartlett: Thank you very much. This is Jonathan Bartlett from the Department of Energy's Wind and Water Power Technologies Office. Today's WPA Webinar will be on the subject of establishing regional resource centers. I will be joined by Ian Baring-Gould at the National Renewable Energy Laboratory and the

339

Teacher and General Resources  

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

Argonne Argonne Science Project Ideas! Our Teacher and General Resources section provides you with online aids for learning about science, such as a tutorial of science equipment, as well as guides for the metric system. Please select any item below that interests you. Also, if you have an idea for a great teacher resource that we could share, please click our Ideas page. We would love to hear from you! Science Equipment Resources: Online Basic Laboratory Equipment Information An Introduction to Basic Laboratory Equipment All students need to know and understand the function of the equipment that they will be using in the science classroom. This exercise is to help students know a beaker from a bunsen burner! TSwift MB 3200 Microscope Online Tutorial Online Microscope Tutorial

340

Resources | Department of Energy  

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

Resources Resources Resources About one in every four federal employees is a military Veteran. At the Department of Energy, 19 percent of our workforce is made up of veterans. Veterans, their spouses, and dependent children are eligible for a variety of benefits provided by the Federal government. Some of these benefits are connected with service disabilities; others depend on amount of time served and in what capacity. Regardless, any Veteran seeking employment with a Federal agency should be aware of the many employment and work-life assistance programs that are available. Employment Information What is Veterans Preference Eligibility? Read more about employment eligibility for Veterans by visiting the Veterans Preference Eligibility page at FedsHireVets.gov. What are Special Hiring Authorities? To learn about the hiring authorities

Note: This page contains sample records for the topic "ogsm resource 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

Relocation Guide, Human Resources  

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

Relocation Information Guide Relocation Information Guide The Human Resources Division is providing this Information Guide to you to help ease the transition of relocating to Long Island. Relocating to a new place can be an exciting as well as stressful time. We have compiled information that can be very helpful with the many issues you may face. You may also seek assistance from the recruiter you work with in Human Resources. Service Disclaimer - This web page contains links to other Internet sites. These links are not endorsements of any products or services and no information in such site has been endorsed or approved by Brookhaven National Laboratory or the Human Resources Division. Here are some of the issues: Cost of living Buying or renting a home Schools in the area

342

Internal Resources Home  

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

Budget Budget Proposals Human Resources Administration Internal Resources Administration--Includes an Administrative Services Directory and an A-Z index. Budget - Contacts Employee Talent Profile System--A system, launched by Jay Keasling in late 2012, populated with profiles of both scientists and non-scientists, meant to be a resource for the creation of teams across the Biosciences Area and the persue of collective funding opportunities both internal and external to the Laboratory. Complete your profile and look for more system enhancements in the coming year. Equipment List (viewable by Berkeley Lab staff only) -- A list of equipment used in the Life Sciences Division. Several equipment needs training prior to use, therefore, please always contact the person responsible if interested in using the equipment. If listed as a contact on

343

Laboratory Computing Resource Center  

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

Computing DOE Logo Computing DOE Logo Search BIO ... Search Argonne Home > BIO home > Laboratory Computing Resource Center BIO Home Page About BIO News Releases Research Publications People Contact Us Organization Chart Site Index Inside BIO BIO Safety About Argonne Argonne National Laboratory Logo Laboratory Computing Resource Center In 2002 Argonne National Laboratory established the Laboratory Computing Project to enable and promote the use of high-performance computing (HPC) across the Laboratory in support of its varied research missions. The Laboratory Computing Resource Center (LCRC) was established, and in April 2003 LCRC began full operations with Argonne’s first teraflops computing cluster, Jazz. In 2010 Jazz was replaced by Fusion, with a peak performance of 30 teraflops (and still growing). We just acquired Blues which will a performance of 100 teraflops.

344

Resources: ADEPS: LANL Inside  

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

ADEPS Resources ADEPS Resources ADEPS Facilities & Institutes Institute for Multiscale Materials Studies (IMMS) Materials Design Institute Milagro Gamma-Ray Observatory Quantum Institute (QI) Superconductivity Technology Center (STC) Trident Laser Facility Weapons Neutron Research Facility (WNR) ADEPS Science News LA Science, LANSCE Special Edition #30 (pdf) MPA Matters Physics research in the news Materials research highlights Materials facilities and capabilities Materials research in the news Conferences & Meetings Lujan Seminar Series MS Cookies and Tea PT Colloquium Quantum Lunch National User Facilities Center for Integrated Nanotechnologies (CINT) Los Alamos Neutron Science Center (LANSCE) National High Magnetic Field Laboratory (NHMFL) Professional Societies & National Academies

345

Economic review of the geopressured-geothermal resource with recommendations  

SciTech Connect

This report presents the results of an economic study conducted by the INEL under DOE Contract No. AC07-76ID01570 to evaluate the breakeven price to market energy from a geopressured-geothermal resource. A breakeven price is a minimum, per unit charge required for the developer to recover all direct and indirect costs and a rate of return sufficient to compensate the developer for depreciation, the time value of money, and the risk of failure. The DOE Geopressured-Geothermal Research Program and the DOE well testing and operations at three locations in the Gulf Coast region provide the bulk of resource and economic characteristics for this study. A menu-driven model was developed in LOTUS-123 to calculate the breakeven price to market gas and electricity from a geopressured-geothermal resource. This model was developed using the present value methodology and conservative assumptions. Assuming present well constraints and current off-the-shelf conversion technology, the breakeven price for electricity is about $0.26/kWh using only the thermal energy from a Hulin-type resource. Assuming identical resource and technology constraints, the breakeven price is reduced to about $0.15/kWh when using all available energy forms (methane, hydraulic, and thermal). Assuming the use of available advanced technologies, the breakeven price is reduced to about $0.10/kWh. Assuming the higher quality resource (with higher temperature and gas content) in the South Texas cases, the breakeven cost is about $0.095/kWh. Using advanced technology, this cost is further reduced to about $0.05/kWh. Both costs are within program goals. The results of this study suggest that the future direction of the Geopressured-Geothermal Program emphasize (a) selection of higher quality resource, (b) advanced energy conversion technology, and (c) total energy utilization.

Plum, M.M.; Negus-de Wys, J.; Faulder, D.D.; Lunis, B.C.

1989-11-01T23:59:59.000Z

346

Live Working Resource Forum  

Science Conference Proceedings (OSTI)

This project involves development of a Live Working Resource Forum for documenting common and unique live work practices. It also serves as a repository of lessons learned derived from analysis of live work incidents. This Technical Update report is the design document of the Forum.

2006-12-14T23:59:59.000Z

347

ResourceBounded Information  

E-Print Network (OSTI)

Query Input l Word processing package for aMac. l $200 price limit. l Search process should take 10 min Features l Active search and discovery. l Resource Bounded Reasoning. l Goal­driven and) C (75% 6) (25% 4) enables Subtask Relation Enables NLE Q = Quality D = Duration C = Cost Task

Raja, Anita

348

ADMINISTRATIVE AND RESOURCE MANAGEMENT  

E-Print Network (OSTI)

development of risk management- relatedITservicesthatbenefittheentireUCsystem. The systems developed at UC and maintenance have diminished so dramatically. #12;7 ADMINISTRATIVE AND RESOURCE MANAGEMENT AnnuAl RepoRt 2010, are collaborating to implement a new asset management, work management, and integrated planning system

Hammock, Bruce D.

349

Valuation of ecological resources  

SciTech Connect

Ecological resources are resources that have functional value to ecosystems. Frequently, these functions are overlooked in terms of the value they provide to humans. Environmental economics is in search of an appropriate analysis framework for such resources. In such a framework, it is essential to distinguish between two related subsets of information: (1) ecological processes that have intrinsic value to natural ecosystems; and (2) ecological functions that are values by humans. The present study addresses these concerns by identifying a habitat that is being displaced by development, and by measuring the human and ecological values associated with the ecological resources in that habitat. It is also essential to determine which functions are mutually exclusive and which are, in effect, complementary or products of joint production. The authors apply several resource valuation tools, including contingent valuation methodology (CVM), travel cost methodology (TCM), and hedonic damage-pricing (HDP). One way to derive upper-limit values for more difficult-to-value functions is through the use of human analogs, because human-engineered systems are relatively inefficient at supplying the desired services when compared with natural systems. Where data on the relative efficiencies of natural systems and human analogs exist, it is possible to adjust the costs of providing the human analog by the relative efficiency of the natural system to obtain a more realistic value of the function under consideration. The authors demonstrate this approach in an environmental economic case study of the environmental services rendered by shrub-steppe habitats of Benton County, Washington State.

Scott, M.J.; Bilyard, G.R.; Link, S.O.; Ricci, P.F.; Seely, H.E.; Ulibarri, C.A.; Westerdahl, H.E.

1995-04-01T23:59:59.000Z

350

Geothermal resources of Montana  

DOE Green Energy (OSTI)

The Montana Bureau of Mines and Geology has updated its inventory of low and moderate temperature resources for the state and has assisted the Oregon Institute of Technology - GeoHeat Center and the University of Utah Research Institute in prioritizing and collocating important geothermal resource areas. The database compiled for this assessment contains information on location, flow, water chemistry, and estimated reservoir temperatures for 267 geothermal well and springs in Montana. For this assessment, the minimum temperature for low-temperature resource is defined as 10{degree} C above the mean annual air temperature at the surface. The maximum temperature for a moderate-temperature resource is defined as greater than 50{degree} C. Approximately 12% of the wells and springs in the database have temperatures above 50{degree} C, 17% are between 30{degree} and 50{degree} C, 29% are between 20{degree} and 30{degree}C, and 42% are between 10{degree} and 20{degree} C. Low and moderate temperature wells and springs can be found in nearly all areas of Montana, but most are in the western third of the state. Information sources for the current database include the MBMG Ground Water Information Center, the USGS statewide database, the USGS GEOTHERM database, and new information collected as part of this program. Five areas of Montana were identified for consideration in future investigations of geothermal development. The areas identified are those near Bozeman, Ennis, Butte, Boulder, and Camas Prairie. These areas were chosen based on the potential of the resource and its proximity to population centers.

Metesh, J.

1994-06-01T23:59:59.000Z

351

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

352

Transmission/Resource Library/Resources | 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 » Transmission/Resource Library/Resources < Transmission‎ | Resource Library(Redirected from Transmission/Resource Library/Public Involvement) Jump to: navigation, search ResourceLibraryHeader.png Public Involvement Resources GIS Tools and Maps Environmental Resources and Mitigation NEPA MOUs General Transmission Documents Transmission Dashboard Permitting Atlas Compare States Arizona California Colorado Idaho Montana Nevada New Mexico Oregon Utah Washington Wyoming Resource Library NEPA Database Public Participation for Interstate Transmission Public participation is a requirement of any project that must comply with

353

Review of Utility Resource Plans in the West: Resource Strategies...  

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

Coordination and Implementation DOE Grid Tech Team Energy Assurance Cybersecurity Information Center Congressional Testimony Recovery Act Educational Resources Reporting Library...

354

Contributions of Renewable Energy Resources to Re-source Diversity  

E-Print Network (OSTI)

1 Contributions of Renewable Energy Resources to Re- source Diversity George Gross, Fellow, IEEE- versity" at the 2006 IEEE/PES GM in Montreal, Que- bec, Canada. Index Terms Renewable Energy Systems Resources, Environmental Attributes of Renewable Resources PANEL PRESENTATION SUMMARY HE myriad changes

Gross, George

355

Pursuing Energy Efficiency as a Hedge against Carbon Regulatory Risks: Current Resource Planning Practices in the West  

Science Conference Proceedings (OSTI)

Uncertainty surrounding the nature and timing of future carbon regulations poses a fundamental and far-reaching financial risk for electric utilities and their ratepayers. Long-term resource planning provides a potential framework within which utilities can assess carbon regulatory risk and evaluate options for mitigating exposure to this risk through investments in energy efficiency and other low-carbon resources. In this paper, we examine current resource planning practices related to managing carbon regulatory risk, based on a comparative analysis of the most-recent long-term resource plans filed by fifteen major utilities in the Western U.S. First, we compare the assumptions and methods used by utilities to assess carbon regulatory risk and to evaluate energy efficiency as a risk mitigation option. Although most utilities have made important strides in beginning to address carbon regulatory risk within their resource plan, we also identify a number of opportunities for improvement and offer recommendations for resource planners and state regulators to consider. We also summarize the composition and carbon intensity of the preferred resource portfolios selected by the fifteen Western utilities, highlighting the contribution of energy efficiency and its impact on the carbon intensity of utilities' proposed resource strategies. Energy efficiency and renewables are the dominant low-carbon resources included in utilities' preferred portfolios. Across the fifteen utilities, energy efficiency constitutes anywhere from 6percent to almost 50percent of the preferred portfolio energy resources, and represents 22percent of all incremental resources in aggregate.

Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

2008-08-01T23:59:59.000Z

356

Pursuing Energy Efficiency as a Hedge against Carbon Regulatory Risks: Current Resource Planning Practices in the West  

Science Conference Proceedings (OSTI)

Uncertainty surrounding the nature and timing of future carbon regulations poses a fundamental and far-reaching financial risk for electric utilities and their ratepayers. Long-term resource planning provides a potential framework within which utilities can assess carbon regulatory risk and evaluate options for mitigating exposure to this risk through investments in energy efficiency and other low-carbon resources. In this paper, we examine current resource planning practices related to managing carbon regulatory risk, based on a comparative analysis of the most-recent long-term resource plans filed by fifteen major utilities in the Western U.S. First, we compare the assumptions and methods used by utilities to assess carbon regulatory risk and to evaluate energy efficiency as a risk mitigation option. Although most utilities have made important strides in beginning to address carbon regulatory risk within their resource plan, we also identify a number of opportunities for improvement and offer recommendations for resource planners and state regulators to consider. We also summarize the composition and carbon intensity of the preferred resource portfolios selected by the fifteen Western utilities, highlighting the contribution of energy efficiency and its impact on the carbon intensity of utilities' proposed resource strategies. Energy efficiency and renewables are the dominant low-carbon resources included in utilities' preferred portfolios. Across the fifteen utilities, energy efficiency constitutes anywhere from 6percent to almost 50percent of the preferred portfolio energy resources, and represents 22percent of all incremental resources in aggregate.

Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

2008-07-11T23:59:59.000Z

357

Office of Information Resources  

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

Federal Bureau of Investigations Billing System Federal Bureau of Investigations Billing System Bureau: Department of Energy Project Unique ID: 01 9-10-01 -22-02-3028-00 Date: 02/08/2008 A. CONTACT INFORMATION 1) Who is the person completing this document? Joanne Csordas (HS-1.21), Office of Business Operations, Office of Resource Management, Office of Health, Safety and Security, U.S. Department of Energy, HS-1.21, 1000 Independence Avenue, SW, Washington D.C. 20585, (301) 903-3573 2) Who is the system owner? Joanne Csordas (HS-1.21), Office of Business Operations, Office of Resource Management, Office of Health, Safety and Security, U.S. Department of Energy, HS-1.21, 1000 Independence Avenue, SW, Washington D.C. 20585, (301) 903-3573 3) Who is the system manager for this system or application?

358

Utility Metering - AGL Resources  

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

AGL Resources AGL Resources Mike Ellis Director, AGL Energy Services Federal Utility Partnership Working Group Spring 2013 - May 22-23 San Francisco, CA Hosted by: Pacific Gas and Electric Company  Multiple LDCs with legacy metering equipment  Several use Itron 100G technology ◦ Mobile, once-a-month data collection ◦ Meter can store interval data for >30 days ◦ Meter technology could be leverage on fixed-base network, however there are no current plans for upgrade  Technology for capturing interval data is installed on case by case basis ◦ Customers on Interruptible Rate ◦ Large users  Electronic corrector installed on the meter ◦ Pressure and Temperature compensation  Typically data is retrieved once a day ◦ Transmission frequency impacts battery life

359

For Researchers: Entrepreneurial Resources  

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

Entrepreneurial Resources Entrepreneurial Resources What determines which technologies become the foundation for a new company? In essence, a technology must attract the necessary financing from venture capital or other sources. In order to do this, the technology must offer a fundamental improvement or the basis for a new product or service. Generally the improvement must be significant, as opposed to an incremental, with great potential for market impact. It is also important that the technology enjoy a strong proprietary position. It must have, for example, an issued patent or a patent pending, with strong claims that separate it from competing technologies. The cutting-edge nature of research here at Berkeley Lab often results in technologies that meet these criteria. The Technology Transfer Department

360

people_resources.html  

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

Explorations of the Universe Explorations of the Universe Cosmic Voyage and A Travel Guide for Educators TV Field Trip Visits Fermilab Resources for the Cosmic Puzzle Cosmic Voyage and A Travel Guide for Educators Two additional resources are available to add to our understanding of the early universe. Cosmic Voyage is a video produced for IMAX/OMNIMAX theaters. Check with the IMAX theatres in your areas to see if it is scheduled. The video is also available as a VHS tape for personal viewing and is available for purchase through: 70 MM Inc., 7 McCarty Crescent, Markham, Ontario L3P 4R4, Canada, 1-800-263-IMAX (Outside of North America call 905-472-9575) for $29.95 plus $5.00 shipping. The video Cosmic Voyage explores the inner and outer space connection in a similar fashion to the classic film, Powers of Ten (available through the

Note: This page contains sample records for the topic "ogsm resource 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

Geothermal Resources Council's 36  

Office of Scientific and Technical Information (OSTI)

Geothermal Resources Council's 36 Geothermal Resources Council's 36 th Annual Meeting Reno, Nevada, USA September 30 - October 3, 2012 Advanced Electric Submersible Pump Design Tool for Geothermal Applications Xuele Qi, Norman Turnquist, Farshad Ghasripoor GE Global Research, 1 Research Circle, Niskayuna, NY, 12309 Tel: 518-387-4748, Email: qixuele@ge.com Abstract Electrical Submersible Pumps (ESPs) present higher efficiency, larger production rate, and can be operated in deeper wells than the other geothermal artificial lifting systems. Enhanced Geothermal Systems (EGS) applications recommend lifting 300°C geothermal water at 80kg/s flow rate in a maximum 10-5/8" diameter wellbore to improve the cost-effectiveness. In this paper, an advanced ESP design tool comprising a 1D theoretical model and a 3D CFD analysis

362

2009 Resource Allocations  

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

Post-2009 Resource Allocations Post-2009 Resource Allocations On March 27, 2009, Western Area Power Administration's Rocky Mountain Region (RMR) published the Federal Register Notice of Proposed Power Allocation. A Public Comment Forum is scheduled for Thursday, April 16, 2009, at 1:00 p.m. MDT at the Ramada Plaza and Conference Center, 10 East 120th Avenue, Northglenn, Colorado 80233, telephone number (303) 452-4100. Interested Parties and Loveland Area Projects Customers are encouraged to attend. Interest Parties and Loveland Area Projects Customers have 30 days to comment on the proposed allocations; comments are due to RMR by 4:00 p.m. on April 27, 2009. Once comments are received, RMR will determine final allocations, and publish those as well as responses to comments in the Federal Register. The new contracts (and revised exhibits for existing customers) must be executed before October 1, 2009, when the new firm electric service allocations become effective for all customers.

363

Office of Information Resources  

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

Office of Personnel Management (OPM) Billing System Office of Personnel Management (OPM) Billing System Bureau: Department of Energy Project Unique ID: 01 9-1 0-01 -22-02-3048-00 Date: 02/08/2008 A. CONTACT INFORMATION 1) Who is the person completing this document? Joanne Csordas (HS-1.21), Office of Business Operations, Office of Resource Management, Office of Health, Safety and Security, U.S. Department of Energy, HS-1.21, 1000 Independence Avenue, SW, Washington D.C. 20585, (301) 903-3573 2) Who is the system owner? Joanne Csordas (HS-1.2 l), Office of Business Operations, Office of Resource Management, Office of Health, Safety and Security, U.S. Department of Energy, HS- 1.2 1, 1000 Independence Avenue, SW, Washington D.C. 20585, (301) 903-3573 3) Who is the system manager for this system or application?

364

The resource cannot be found.  

Office of Legacy Management (LM)

Server Error in '' Application. The resource cannot be found. Description: HTTP 404. The resource you are looking for (or one of its dependencies) could have been removed, had its...

365

Curriculum in Renewable Natural Resources  

E-Print Network (OSTI)

Curriculum in Renewable Natural Resources Catalog 12-13 University Core Curriculum Required Courses............................................................................... (0-2) 1 43 Renewable Natural Resources Core Courses RENR 205 Fundamentals of Ecology

366

Parsing with sparse annotated resources  

E-Print Network (OSTI)

This thesis focuses on algorithms for parsing within the context of sparse annotated resources. Despite recent progress in parsing techniques, existing methods require significant resources for training. Therefore, current ...

Zhang, Yuan, S.M. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

367

Hydropower Resources | Department of Energy  

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

Hydropower Resources Hydropower Resources August 16, 2013 - 4:06pm Addthis Hydropower is used throughout the United States, but it is most common on the west coast-especially in...

368

Estimation of resources and reserves  

E-Print Network (OSTI)

This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

Massachusetts Institute of Technology. Energy Laboratory.

1982-01-01T23:59:59.000Z

369

Geothermal Resources | Department of Energy  

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

Resources Geothermal Resources August 14, 2013 - 1:58pm Addthis Although geothermal heat pumps can be used almost anywhere, most direct-use and electrical production facilities in...

370

Gradient Resources | Open Energy Information  

Open Energy Info (EERE)

Resources Resources Jump to: navigation, search Logo: Gradient Resources Name Gradient Resources Address 9670 Gateway Drive, Suite 200 Place Reno, Nevada Zip 89521 Sector Geothermal energy Year founded 1991 Company Type For Profit Phone number (775) 284-8842 Website http://www.gradient.com/ Region Rockies Area References Gradient Resources Website[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Gradient Resources is a company based in Reno, Nevada. Gradient Resources is engaged in the exploration and development of geothermal resources as well as the construction, ownership and operation of geothermal power plants. The Company is headquartered in Reno, Nevada with a regional office, drilling operations center, and well-cementing

371

Industrial Applications for Renewable Resources  

Science Conference Proceedings (OSTI)

This CD-ROM contains the PowerPoint presentations from the presenters from Industrial Applications of Renewable Resources: A Conference on Sustainable Technologies. Industrial Applications for Renewable Resources Biofuels and Bioproducts and Biodiesel DV

372

Air Resources Board  

E-Print Network (OSTI)

The Air Resources Board (ARB or Board) will conduct a public hearing at the time and place noted below to consider adoption of the Proposed Airborne Toxic Control Measure (ATCM) to Reduce Formaldehyde Emissions from Composite Wood Products. The proposed ATCM would reduce the publics current exposure to formaldehyde by reducing emissions from hardwood plywood (HWPW), particleboard (PB) and medium density fiberboard (MDF) panels. The ATCM would also apply to finished goods made with these materials.

unknown authors

2007-01-01T23:59:59.000Z

373

Lignocellulosic feedstock resource assessment  

DOE Green Energy (OSTI)

This report provides overall state and national information on the quantity, availability, and costs of current and potential feedstocks for ethanol production in the United States. It characterizes end uses and physical characteristics of feedstocks, and presents relevant information that affects the economic and technical feasibility of ethanol production from these feedstocks. The data can help researchers focus ethanol conversion research efforts on feedstocks that are compatible with the resource base.

Rooney, T.

1998-09-01T23:59:59.000Z

374

Surfactants from Biorenewable Resources Supplement  

Science Conference Proceedings (OSTI)

Surfactants from Biorenewable Resources Supplement 18508 March 2008 Supplement March 2008.pdf Desmet Ballestra S.p.A 3173

375

Energy Basics: Solar Energy Resources  

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

Energy Basics Renewable Energy Printable Version Share this resource Biomass Geothermal Hydrogen Hydropower Ocean Solar Photovoltaics Concentrating Solar Power Solar...

376

Geothermal resources of South Dakota  

SciTech Connect

This document consists of 1:750,000 map showing the accessible stratabound geothermal resources of South Dakota. (BN)

Gosnold, W.D. Jr. (comp.) (North Dakota Univ., Grand Forks, ND (United States). North Dakota Mining and Mineral Resources Research Inst.)

1992-01-01T23:59:59.000Z

377

Geothermal resources of South Dakota  

SciTech Connect

This document consists of 1:750,000 map showing the accessible stratabound geothermal resources of South Dakota. (BN)

Gosnold, W.D. Jr. [comp.] [North Dakota Univ., Grand Forks, ND (United States). North Dakota Mining and Mineral Resources Research Inst.

1992-08-01T23:59:59.000Z

378

Majoring in Forest Resources & Conservation  

E-Print Network (OSTI)

Majoring in Forest Resources & Conservation University of Florida/IFAS School of Forest Resources & Conservation www.sfrc.ufl.edu ~ 352-846-0847 ~ khaselier@ufl.edu Business Management gives students a sound Management Summer B FOR3200C Foundations in Natural Resources and Conservation 3 credits FOR3434C Forest

Watson, Craig A.

379

Scheduling resources for throughput maximization  

Science Conference Proceedings (OSTI)

We consider the problem of scheduling a set of resources over time. Each resource is specified by a set of time intervals (and the associated amount of resource available), and we can choose to schedule it in one of these intervals. The goal is to maximize ...

Venkatesan T. Chakaravarthy; Amit Kumar; Vinayaka Pandit; Sambuddha Roy; Yogish Sabharwal

2011-08-01T23:59:59.000Z

380

Protecting against physical resource monitoring  

Science Conference Proceedings (OSTI)

This paper considers the problem of resource monitoring. We consider the scenario where an adversary is physically monitoring on the resource access, such as the electricity line or gas pipeline, of a user in order to learn private information about ... Keywords: differential privacy, resource monitoring, smart grids, smart metering

Gergely Acs; Claude Castelluccia; William Lecat

2011-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "ogsm resource 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

Office of Information Resources | Department of Energy  

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

Information Resources Office of Information Resources National Coal Council Meeting, May 22, 2008 Office of Information Resources More Documents & Publications Office of...

382

Better Buildings Neighborhood Program: Resource Directory  

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

Tools & Resources Tools & Resources Printable Version Share this resource Send a link to Better Buildings Neighborhood Program: Resource Directory to someone by E-mail Share Better Buildings Neighborhood Program: Resource Directory on Facebook Tweet about Better Buildings Neighborhood Program: Resource Directory on Twitter Bookmark Better Buildings Neighborhood Program: Resource Directory on Google Bookmark Better Buildings Neighborhood Program: Resource Directory on Delicious Rank Better Buildings Neighborhood Program: Resource Directory on Digg Find More places to share Better Buildings Neighborhood Program: Resource Directory on AddThis.com... Case Studies Resource Directory Webcasts Workshops Grants Administration Resource Directory The guidance documents and reports below have been used by Better Buildings

383

California Air Resources Board | Open Energy Information  

Open Energy Info (EERE)

Air Resources Board Jump to: navigation, search Logo: California Air Resources Board Name California Air Resources Board Place Sacramento, California Website http:www.arb.ca.gov...

384

Distributed Energy Resources for Carbon Emissions Mitigation  

E-Print Network (OSTI)

2003. Gas-Fired Distributed Energy Resource TechnologyATIONAL L ABORATORY Distributed Energy Resources for CarbonFirestone 5128 Distributed Energy Resources for Carbon

Firestone, Ryan; Marnay, Chris

2008-01-01T23:59:59.000Z

385

Distributed Energy Resources Market Diffusion Model  

E-Print Network (OSTI)

International Journal of Distributed Energy Resources, 1 (Gas-Fired Distributed Energy Resources Characterizations.Firestone, R. (2004) Distributed Energy Resources Customer

Maribu, Karl Magnus; Firestone, Ryan; Marnay, Chris; Siddiqui, Afzal S.

2006-01-01T23:59:59.000Z

386

Deepwater Oil & Gas Resources | Department of Energy  

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

Deepwater Oil & Gas Resources Deepwater Oil & Gas Resources The United States has significant natural gas and oil reserves. But many of these resources are increasingly harder to...

387

Solar Energy Resources | Department of Energy  

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

Solar Energy Resources Solar Energy Resources August 21, 2013 - 11:40am Addthis Solar radiation, often called the solar resource, is a general term for the electromagnetic...

388

ORISE: Resources for Worker Health Studies  

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

Journal of Occupational and Environmental Hygiene. Human Subjects Protection Resource Book cover Human Subjects Protection Resource Book The Human Subjects Protection Resource...

389

Employee Resource Groups | ornl.gov  

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

Diversity Diversity Initiatives Employee Resource Groups Careers Home | ORNL | Careers | Diversity | Employee Resource Groups SHARE Employee Resource Groups There are various ORNL...

390

Harvesting a renewable resource under uncertainty  

E-Print Network (OSTI)

Consider a valuable renewable resource whose biomass X2003. Harvesting a renewable resource under uncertainty,Harvesting a Renewable Resource under Uncertainty 1 (with

Saphores, Jean-Daniel M

2003-01-01T23:59:59.000Z

391

An economic analysis of collective management for natural resources; with case studies of small scale irrigation and fisheries in South Asia  

E-Print Network (OSTI)

Introduction Why property regimes are important for improved resource management What is meant by common property management How can common property management be modelled economically Review of earlier economic analysis (theoretical and empirical) Synthesised economic model Hypotheses underpinning the model Methodology for empirically testing the model Background to Sri Lanka and Tamil Nadu Tentative Results Tentative Conclusions 3 Abstract This paper presents an economic model for collective resource management. The model is premised on the assumption that certain factors motivate individual and collective decisionmaking. These underlying assumptions as well as the robustness of the model are field tested with data from actual resource management systems in Sri Lanka and India. Initial field visits suggest that the model may be robust in explaining some of the important features of common property regimes. The paper starts from the premise that renewable natural resourc...

South Asia; Paul Steele

1999-01-01T23:59:59.000Z

392

Developer Resources | Department of Energy  

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

Developer Resources Developer Resources Developer Resources Apps for Energy The Energy Department is challenging developers to use the Green Button data access program to bring residential and commercial utility data to life with fun and creative apps. Read more Learn about Green Button Apps for Energy submissions must use Green Button data. To learn more, start here. Read more NREL Resources NREL offers a number resources for Green Button app developers. Find out more! Read more Vehicle Data Resources Sample Vehicle Data (Apps for Vehicles) OpenXC Translation Output Format Vehicle Data API OpenEI Developer FAQ OpenXC Platform Guide OpenEI Hackathon Resources EPA OBD Page Society of Automotive Engineers OBD Page Other Agencies Energy.Data.gov Geo.Data.Gov Census Data Census: TIGER Geographic Data

393

Mongolia wind resource assessment project  

DOE Green Energy (OSTI)

The development of detailed, regional wind-resource distributions and other pertinent wind resource characteristics (e.g., assessment maps and reliable estimates of seasonal, diurnal, and directional) is an important step in planning and accelerating the deployment of wind energy systems. This paper summarizes the approach and methods being used to conduct a wind energy resource assessment of Mongolia. The primary goals of this project are to develop a comprehensive wind energy resource atlas of Mongolia and to establish a wind measurement program in specific regions of Mongolia to identify prospective sites for wind energy projects and to help validate some of the wind resource estimates. The Mongolian wind resource atlas will include detailed, computerized wind power maps and other valuable wind resource characteristic information for the different regions of Mongolia.

Elliott, D.; Chadraa, B.; Natsagdorj, L.

1998-09-07T23:59:59.000Z

394

Modeling renewable energy resources in integrated resource planning  

SciTech Connect

Including renewable energy resources in integrated resource planning (IRP) requires that utility planning models properly consider the relevant attributes of the different renewable resources in addition to conventional supply-side and demand-side options. Otherwise, a utility`s resource plan is unlikely to have an appropriate balance of the various resource options. The current trend toward regulatory set-asides for renewable resources is motivated in part by the perception that the capabilities of current utility planning models are inadequate with regard to renewable resources. Adequate modeling capabilities and utility planning practices are a necessary prerequisite to the long-term penetration of renewable resources into the electric utility industry`s resource mix. This report presents a review of utility planning models conducted for the National Renewable Energy Laboratory (NREL). The review examines the capabilities of utility planning models to address key issues in the choice between renewable resources and other options. The purpose of this review is to provide a basis for identifying high priority areas for advancing the state of the art.

Logan, D.; Neil, C.; Taylor, A. [RCG/Hagler, Bailly, Inc., Boulder, CO (United States)

1994-06-01T23:59:59.000Z

395

On the global economic potentials and marginal costs of non-renewable resources and the price dynamics of energy commodities  

E-Print Network (OSTI)

A model is presented in this work for simulating endogenously the evolution of the marginal costs of production of energy carriers from non-renewable resources, their consumption, depletion pathways and timescales. Such marginal costs can be used to simulate the long term average price formation of energy commodities. Drawing on previous work where a global database of energy resource economic potentials was constructed, this work uses cost distributions of non-renewable resources in order to evaluate global flows of energy commodities. A mathematical framework is given to calculate endogenous flows of energy resources given an exogenous commodity price path. This framework can be used in reverse in order to calculate an exogenous marginal cost of production of energy carriers given an exogenous carrier demand. Using rigid price inelastic assumptions independent of the economy, these two approaches generate limiting scenarios that depict extreme use of natural resources. This is useful to characterise the cur...

Mercure, Jean-Francois

2013-01-01T23:59:59.000Z

396

Weatherization and Intergovernmental Program: Information Resources  

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

Information Resources Information Resources Site Map Printable Version Share this resource Send a link to Weatherization and Intergovernmental Program: Information Resources to someone by E-mail Share Weatherization and Intergovernmental Program: Information Resources on Facebook Tweet about Weatherization and Intergovernmental Program: Information Resources on Twitter Bookmark Weatherization and Intergovernmental Program: Information Resources on Google Bookmark Weatherization and Intergovernmental Program: Information Resources on Delicious Rank Weatherization and Intergovernmental Program: Information Resources on Digg Find More places to share Weatherization and Intergovernmental Program: Information Resources on AddThis.com... Publications Weatherization Assistance Program Resources

397

NREL: Renewable Resource Data Center - Wind Resource Information  

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

Wind Resource Information Wind Resource Information Photo of five wind turbines at the Nine Canyon Wind Project. The Nine Canyon Wind Project in Benton County, Washington, includes 37 wind turbines and 48 MW of capacity. Detailed wind resource information can be found on NREL's Wind Research Web site. This site provides access to state and international wind resource maps. Wind Integration Datasets are provided to help energy professionals perform wind integration studies and estimate power production from hypothetical wind plants. In addition, RReDC offers Meteorological Field Measurements at Potential and Actual Wind Turbine Sites and a Wind Energy Resource Atlas of the United States. Wind resource maps are also available from the NREL Dynamic Maps, GIS Data, and Analysis Tools Web site.

398

Small Business Resources  

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

Resources Resources in Your Community Presented by: UMKC Missouri Small Business & Technology Development Center Kansas City, MO 2 A B est P rac+ce i s a ... Technique Method Process Ac2vity Incen2ve Reward ... that i s m ore e ffec+ve d elivering a par+cular outcome. 3 Best P rac+ce i s D efined a s... * the m ost e fficient (least a mount o f e ffort), * and m ost e ffec2ve (best r esults) ...method t o a ccomplish a t ask b ased o n... * repeatable p rocedures * proven p rocedures * over 2 me * for l arge n umbers o f p eople 4 What i s a B est P rac+ce? * The p rocess o f fi nding a nd u sing i deas and s trategies f rom outside y our company a nd i ndustry t o i mprove performance. * Big b usiness h as u sed b est p rac2ce benchmarking o ver d ecades a nd realized b illions i n s avings i n a ll a reas o f business

399

UWC geothermal resource exploration  

DOE Green Energy (OSTI)

A program was developed to explore the strength of the geothermal and hot dry rock (HDR) resource at the Montezuma Hot Springs at the United World College (UWC). The purpose of the UWC {number_sign}1 well is to obtain hydrologic, geologic, and temperature information for ongoing geothermal evaluation of the Montezuma Hot Springs area. If sufficient fluids are encountered, the hole will be cased with a 4 1/2 inch production casing and re-permitted as a geothermal low-temperature well. If no fluid is encountered, the well will be abandoned per Oil Conservation Division regulation. The objectives of the exploration are to evaluate the resource potential to provide space heating for the entire campus of the United World College, determine the effect of a well on the Hot Springs outflow, accurately measure the UWC heating loads versus time, evaluate the potential to support local thermal industry development, assess the feasibility of HDR development, and create an educational program from the collection of data derived from the research effort.

NONE

1996-04-01T23:59:59.000Z

400

Idaho National Laboratory - Hydropower Program - Resource Assessment  

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

Hydropower Evaluation Software State Resource Assessments Resource Assessments Reports Technology Transfer Virtual Hydropower Prospector Virtual Hydropower Prospector do Brasil...

Note: This page contains sample records for the topic "ogsm resource 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

Comprehensive Municipal Solid Waste Management, Resource Recovery...  

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

Municipal Solid Waste Management, Resource Recovery, and Conservation Act (Texas) Comprehensive Municipal Solid Waste Management, Resource Recovery, and Conservation...

402

Barron Electric Cooperative - Residential Energy Resource Conservation...  

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

Residential Energy Resource Conservation Loan Program Barron Electric Cooperative - Residential Energy Resource Conservation Loan Program Eligibility Residential Savings For Home...

403

Linking Resources and Structures: Increasing the Effectiveness...  

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

Linking Resources and Structures: Increasing the Effectiveness of Energy Efficient Government Procurement Programs Title Linking Resources and Structures: Increasing the...

404

Water Resources Restoration and Preservation Act (Florida) |...  

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

Water Resources Restoration and Preservation Act (Florida) Water Resources Restoration and Preservation Act (Florida) Eligibility Agricultural Commercial Construction Developer...

405

Water Resource Management (Indiana) | Department of Energy  

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

Resource Management (Indiana) Water Resource Management (Indiana) Eligibility Agricultural Commercial Construction Fuel Distributor Industrial InstallerContractor Investor-Owned...

406

PIA - Human Resources - Personal Information Change Request ...  

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

Laboratory PIA - Human Resources - Personal Information Change Request - Idaho National Engineering Laboratory More Documents & Publications PIA - Human Resources Information...

407

Minnesota Valley Electric Cooperative -Residential Energy Resource...  

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

Residential Energy Resource Conservation Loan Program Minnesota Valley Electric Cooperative -Residential Energy Resource Conservation Loan Program Eligibility Residential Savings...

408

1990 Resource Program : Technical Report.  

DOE Green Energy (OSTI)

This Technical Report is a detailed presentation of the actions Bonneville Power Administration (BPA) will take to develop new resources to meet the power requirements of its customers. The primary focus of this report is on what BPA will do in Fiscal Years (FY's) 1992 and 1993. However, much care has been taken to define near-term actions aimed at meeting BPA's long-term needs. An aggressive, steadily increasing conservation program forms the foundation of the 1990 Resource Program and resource acquisitions for FY's 1992 and 1993. BPA's commitment to a steady ramp-up of the conservation program is key to achieving the least-cost approach to resource development, and to making the conservation resource deliverable in the long run. By itself, conservation can meet much of the likely range of load growth that BPA faces. A diverse mix of generation resources in small increments is the second cornerstone of the 1990 Resource Program. These generation resources can meet the rest of the likely range of BPA resource needs. Finally, a Resource Contingency Plan prepares BPA to reliably meet load in the event that load growth exceeds the likely range. 14 figs., 27 tabs.

United States. Bonneville Power Administration.

1990-07-01T23:59:59.000Z

409

(c) 2008-2011. Minh Ha-Duong. Rodica Loisel. CIRED Reproduction allowed. share alike. attribution. Blue cells: Numerical assumptions defining the scenario  

E-Print Network (OSTI)

infrastructure such as injection wells and gathering systems, enabling more accurate assessment of CO2 storage MOUNTAINS PERMIAN BASIN JAF2010_031.XLS Source: Advanced Resources Int'l., based on Oil and Gas Journal

410

Research - Resources | Data.gov  

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

Resources Resources Research Menu Data/Tools Apps Resources Let's Talk Research Alpha You are here Data.gov » Communities » Research Resources/Other Data Sources This section contains links to data and datasets provided by both Federal and non-Federal sources. If you find the resources useful, or have suggestions for other links, let us know through the forums. Please note that you will be leaving the Data.Gov website to access these resources. Science.Gov Science.gov searches over 50 databases and over 2100 selected websites from 13 Federal agencies, offering 200 million pages of authoritative U.S. government science information including research and development results. Science.gov is governed by the interagency Science.gov Alliance. Research.Gov Research.gov is the National Science Foundation's (NSF) grants management

411

Resource Conservation and Recovery Act  

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

Resource Conservation and Recovery Act (RCRA) Resource Conservation and Recovery Act (RCRA) In 1965 the Solid Waste Disposal Act [Public Law (Pub. L.) 89-72] was enacted to improve solid waste disposal methods. It was amended in 1970 by the Resource Recovery Act (Pub. L. 91-512), which provided the Environmental Protection Agency (EPA) with funding for resource recovery programs. However, that Act had little impact on the management and ultimate disposal of hazardous waste. In 1976 Congress enacted the Resource Conservation and Recovery Act (RCRA, Pub. L. 94-580). RCRA established a system for managing non-hazardous and hazardous solid wastes in an environmentally sound manner. Specifically, it provides for the management of hazardous wastes from the point of origin to the point of final disposal (i.e., "cradle to grave"). RCRA also promotes resource recovery and waste minimization.

412

Historical Resources | Department of Energy  

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

Resources Resources Historical Resources Historical Resources The Department of Energy maintains and makes accessible to the general public a wide variety of historical resources. These include published and online histories of the Department and its predecessor agencies and records, exhibits, museums, and tours available online and at various locations both within and outside the Department. The Department's Office of History and Heritage Resources (OHHR) serves as the institutional memory for the Department. Overviews of the Department produced by OHHR include the online only A Brief History of the Department of Energy and the more in-depth Department of Energy Timeline as well as the published Department of Energy, 1977-1994: A Summary History. The Department is the lineal descendent of several predecessor agencies,

413

NREL: Energy Analysis: Resource Assessment  

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

Resource Assessment Resource Assessment NREL has developed maps and tools to conduct renewable energy resource assessments at the state, national and international level. Around the world, interest is growing in renewable energy as a strategy to mitigate greenhouse gas emissions and increase energy security. The starting point for new renewable energy projects is a characterization of the renewable resources available across a region, a resource assessment. NREL uses geospatial data sets to identify regions that are appropriate for renewable development and those that should be excluded such as water bodies, urban areas, cropland, forests, very steep terrain, and protected areas. Once resource data are available for a region, NREL can estimate the theoretical potential, or upper limit, for renewable energy in an area.

414

Technology Resources | Department of Energy  

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

Technology Resources Technology Resources Technology Resources October 16, 2013 - 5:17pm Addthis Image of the Whole Building Design Guide logo. The Whole Building Design Guide is a program of the National Institute of Building Sciences The following resource pages are part of the Whole Building Design Guide. These pages are updated on an ongoing basis. To provide detailed information on renewable energy technology options, FEMP partnered with the Whole Building Design Guide to provide technology resource pages. Each of these technology-specific pages provides detailed information on system design and types, best uses, resource assessments, economics, operations and maintenance, and other key considerations. The pages describe the technologies in a context specific to Federal sector

415

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

416

Drilling for energy resources  

DOE Green Energy (OSTI)

Drilling is integral to the exploration, development, and production of most energy resources. Oil and natural gas, which are dependent on drilling technology, together account for about 77% of the energy sources consumed in the US. Thus, the limitations of current drilling technology also restrict the rate at which new energy supplies can be found, extracted, and brought to the marketplace. The purpose of the study reported was to examine current drilling technology, suggest areas where additional research and development (R and D) might significantly increase drilling rates and capabilities, and suggest a strategy for improving drilling technology. An overview is provided of the US drilling industry. The drilling equipment and techniques now used for finding and recovering oil, natural gas, coal, shale oil, nuclear fuels, and geothermal energy are described. Although by no means exhaustive, these descriptions provide the background necessary to adequately understand the problems inherent in attempts to increase instantaneous and overall drilling rates.

Not Available

1976-01-01T23:59:59.000Z

417

WEB RESOURCE: Nuclear Waste Disposal  

Science Conference Proceedings (OSTI)

May 10, 2007 ... The complete "Yucca Mountain Resource Book" is also available for download at this site. Citation: Nuclear Waste Disposal. 2007. Nuclear...

418

Advanced Manufacturing Office: Information Resources  

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

on AddThis.com... Publications Databases Success Stories Webcasts Workshops Energy Analysis Industries & Technologies Related Links Information Resources What People Are...

419

Training Resources | Department of Energy  

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

Training Resources Training Resources Training Resources Training Resources Course Catalogs CHRIS Catalog [select CHRIS Training] EOTA Catalog Graduate School USA Leadership Development Program Catalog NTC Catalog OLC Catalog - for Feds [logon in ESS] OLC Catalog - for Contractors Professional Skills Catalog Course Schedules CHRIS Schedule [select CHRIS Training] DOE Mandatory Training Graduate School USA NTC Schedule Professional Skills Schedule Course Registration CHRIS Registration [logon in ESS] EOTA Registration NTC Registration OLC Registration - for Feds [logon in ESS] OLC Registration - for Contractors Search Tools National Library of Energy (Beta) DVU Home Page College of Environmental Management logo College of Emergency Operations College of Health Safety & Security College of Learning & Workforce Development

420

Online Resources | Department of Energy  

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

Online Resources Online Resources Online Resources ... Legislative Documents - US Code - Public and Private Laws - Congressional Bills - Congressional Record - Congressional Hearings - Appropriations Legislation Regulatory Documents - Code of Federal Regulations - Federal Register - Safety and Employee Protection Authorities Compilation of Laws - Communications Law - Consumer Protectxion Law - Environmental Law Volume 1 - Environmental Law Volume 2 - Food, Drug, And Related Law - Health Law - Nuclear Energy And Radioactive Waste - Selected Energy-Related Legislation: Electricity - Selected Energy-Related Legislation: Organization And Miscellaneous - Selected Energy-Related Legislation: Oil, Gas, And Nonnuclear Fuels Presidential Documents - Executive Orders Judicial Resources

Note: This page contains sample records for the topic "ogsm resource 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

Teacher Resource Center: Customized Workshops  

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

Customized Workshops Customized Workshops TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources From time to time we receive requests for information about workshops offered through the Fermilab Teacher Resource Center. We have conducted workshops for schools, districts and intermediate service agencies. We work closely with organizers to customize the workshops to their needs—the discussion and collaboration is essential. We receive many requests for

422

Ocean Resources | Department of Energy  

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

resource-assessment projects for advanced water power. Addthis Related Articles Glossary of Energy Related Terms Pamela Sydelko is the Deputy Associate Laboratory Director...

423

WEB RESOURCE: Principal Metals Online  

Science Conference Proceedings (OSTI)

Feb 9, 2007 ... This resource provides materials property data on more than 5000 ferrous and non-ferrous materials. Chemistry, mechanicals, general...

424

Environmental Planning and Resource Analysis  

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

FinalReport Glen Canyon Dam ROD & Operating Constraints Glen Canyon Operations White Paper Grand Canyon Protection Act of 1992 Replacement Resources & Methods Report...

425

Unconventional Fossil Energy Resource Program  

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

fields, and enormous amounts of hydrocarbons are locked in unconventional reservoirs (oil shale, heavy oil, tar sands). * Economic extraction of these resources will require...

426

OpenEI - offshore resource  

Open Energy Info (EERE)

http:en.openei.orgdatasetstaxonomyterm8570 en Offshore Wind Resource http:en.openei.orgdatasetsnode921

Global Wind Potential Supply Curves by Country, Class, and...

427

Resource Optimization Initiative (ROI) - TMS  

Science Conference Proceedings (OSTI)

Jul 3, 2008 ... The Resource Optimization Initiative (ROI), a not-for-profit entity, has been ... to begin with, would be Land, Water and Energy the three major...

428

Renewable resources and waste recycling  

Science Conference Proceedings (OSTI)

traction of inputs from the earth's crust, at the same time diminishing ... taxes and subsidies on the prices of natural resources and ..... behavior of real economies.

429

Virginia Resources Authority Act (Virginia)  

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

The Virginia Resources Authority provides financing options to support community investment in a number of areas, including wastewater, flood prevention and dam safety, solid waste, water, land...

430

Montana Rangeland Resources Act (Montana)  

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

The Montana Rangeland Resources Act establishes a program of rangeland management, to preserve Montana rangeland for livestock, wildlife habitat, high-quality water production, pollution control,...

431

Educational Resources | Department of Energy  

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

Testimony Recovery Act Educational Resources Electricity 101 Interactive Grid Smart Grid Primer Reporting Library Meetings & Events Electricity 101 Do you have...

432

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

DOE Green Energy (OSTI)

The purpose of this study was to examine alternative biomass-to-ethanol conversion process assumptions and configuration options to determine their relative effects on overall process economics. A process-flow-sheet computer model was used to determine the heat and material balance for each configuration that was studied. The heat and material balance was then fed to a costing spreadsheet to determine the impact on the ethanol selling price. By examining a number of operational and configuration alternatives and comparing the results to the base flow sheet, alternatives having the greatest impact the performance and cost of the overall system were identified and used to make decisions on research priorities.

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

2008-12-05T23:59:59.000Z

433

Nonlinear Equilibrium for optimal resource allocation  

E-Print Network (OSTI)

Fairfax, VA 22030, USA. Abstract. We consider ... Unfortunately, such assumptions do not reflect the basic market law of supply and demand. Therefore

434

D:\assumptions_2001\assumptions2002\currentassump\demand.vp  

Gasoline and Diesel Fuel Update (EIA)

2 2 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 Petroleum Market Module. . . . . . . . . . . . .

435

Enhanced Prognosis for Abiotic Natural Gas and Petroleum Resources  

E-Print Network (OSTI)

The prognosis for potential resources of abiotic natural gas and petroleum depends critically upon the nature and circumstances of Earth formation. Until recently, that prognosis has been considered solely within the framework of the so-called "standard model of solar system formation", which is incorrect and leads to the contradiction of terrestrial planets having insufficiently massive cores. By contrast, that prognosis is considerably enhanced (i) by the new vision I have disclosed of Earth formation as a Jupiter-like gas giant; (ii) by core formation contemporaneous with raining out from within a giant gaseous protoplanet rather than through subsequent whole-Earth re-melting after loss of gases; (iii) by the consequences of whole-Earth decompression dynamics, which obviates the unfounded assumption of mantle convection, and; (iv) by the process of mantle decompression thermal-tsunami. The latter, in addition to accounting for much of the heat leaving the Earth's surface, for the geothermal gradient observ...

Herndon, J M

2006-01-01T23:59:59.000Z

436

Security Bounds for Quantum Cryptography with Finite Resources  

E-Print Network (OSTI)

A practical quantum key distribution (QKD) protocol necessarily runs in finite time and, hence, only a finite amount of communication is exchanged. This is in contrast to most of the standard results on the security of QKD, which only hold in the limit where the number of transmitted signals approaches infinity. Here, we analyze the security of QKD under the realistic assumption that the amount of communication is finite. At the level of the general formalism, we present new results that help simplifying the actual implementation of QKD protocols: in particular, we show that symmetrization steps, which are required by certain security proofs (e.g., proofs based on de Finetti's representation theorem), can be omitted in practical implementations. Also, we demonstrate how two-way reconciliation protocols can be taken into account in the security analysis. At the level of numerical estimates, we present the bounds with finite resources for ``device-independent security'' against collective attacks.

Valerio Scarani; Renato Renner

2008-06-01T23:59:59.000Z

437

TMCC WIND RESOURCE ASSESSMENT  

DOE Green Energy (OSTI)

North Dakota has an outstanding resource--providing more available wind for development than any other state. According to U.S. Department of Energy (DOE) studies, North Dakota alone has enough energy from good wind areas, those of wind power Class 4 and higher, to supply 36% of the 1990 electricity consumption of the entire lower 48 states. At present, no more than a handful of wind turbines in the 60- to 100-kilowatt (kW) range are operating in the state. The first two utility-scale turbines were installed in North Dakota as part of a green pricing program, one in early 2002 and the second in July 2002. Both turbines are 900-kW wind turbines. Two more wind turbines are scheduled for installation by another utility later in 2002. Several reasons are evident for the lack of wind development. One primary reason is that North Dakota has more lignite coal than any other state. A number of relatively new minemouth power plants are operating in the state, resulting in an abundance of low-cost electricity. In 1998, North Dakota generated approximately 8.2 million megawatt-hours (MWh) of electricity, largely from coal-fired plants. Sales to North Dakota consumers totaled only 4.5 million MWh. In addition, the average retail cost of electricity in North Dakota was 5.7 cents per kWh in 1998. As a result of this surplus and the relatively low retail cost of service, North Dakota is a net exporter of electricity, selling approximately 50% to 60% of the electricity produced in North Dakota to markets outside the state. Keeping in mind that new electrical generation will be considered an export commodity to be sold outside the state, the transmission grid that serves to export electricity from North Dakota is at or close to its ability to serve new capacity. The markets for these resources are outside the state, and transmission access to the markets is a necessary condition for any large project. At the present time, technical assessments of the transmission network indicate that the ability to add and carry wind capacity outside of the state is limited. Identifying markets, securing long-term contracts, and obtaining a transmission path to export the power are all major steps that must be taken to develop new projects in North Dakota.

Turtle Mountain Community College

2003-12-30T23:59:59.000Z

438

Majoring in Forest Resources & Conservation  

E-Print Network (OSTI)

Majoring in Forest Resources & Conservation University of Florida/IFAS School of Forest Resources & Conservation www.sfrc.ufl.edu ~ 352-846-0847 ~ khaselier@ufl.edu Protected Areas Management is for students interested in managing lands for conservation and restoration purposes, usually on lands owned

Watson, Craig A.

439

Efficient, automatic web resource harvesting  

Science Conference Proceedings (OSTI)

There are two problems associated with conventional web crawling techniques: a crawler cannot know if all resources at a non-trivial web site have been discovered and crawled ("the counting problem") and the human-readable format of the resources are ... Keywords: OAI-PMH, mod_oai, web crawling

Michael L. Nelson; Joan A. Smith; Ignacio Garcia del Campo

2006-11-01T23:59:59.000Z

440

Consumer Resources | Data.gov  

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

Consumer Resources Consumer Resources Consumer Data Apps Challenges Resources About Blogs Let's Talk Feedback Consumer You are here Data.gov » Communities » Consumer Welcome to the resources and press page. Check back frequently for updates. New to Smart Disclosure? Start with our About page Key Federal Smart Disclosure Resources WHITE HOUSE & NATIONAL ARCHIVES Summit on Smart Disclosure 3/30/2012 On March 30, 2012, the White House and the National Archives and Records Administration (NARA), with support from ideas42, hosted a summit on Smart Disclosure - a new tool that helps provide consumers with greater access to the information they need to make informed choices. Click here for agenda. WHITE HOUSE US.National Action Plan on Open Government 9/20/2011 Excerpted commitment on Smart Disclosure: "Promote Smart Disclosure. The

Note: This page contains sample records for the topic "ogsm resource 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

Geothermal Resources | 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 » Geothermal Resources Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Geothermal Resources There are a number of different resource potential estimates that have been developed. A few are listed below. NREL Geothermal Favorability Map NREL Supply Characterization and Representation In 2011, NREL conducted an analysis to characterize and represent the supply of electricity generation potential from geothermal resources in the United States. The principal products were: Capacity Potential Estimates - quantitative estimates of the potential electric capacity of U.S. geothermal resources

442

resource assessment | OpenEI  

Open Energy Info (EERE)

resource assessment resource assessment Dataset Summary Description Reduction of global greenhouse gas emission to arrest global warming requires minimizing the use of fossil fuels. To achieve this a large scale use of renewable energies must be made over the globe for production of electrical and thermal energy. Success of wind and solar energy projects require detailed and precise information on the resources. For most developing countries adequate information on the resources are not available. Source Renewable Energy Research Centre, University of Dhaka Date Released February 19th, 2007 (7 years ago) Date Updated Unknown Keywords Feasibility Study resource assessment Solar Energy SWERA Bangladesh Wind Energy Data application/pdf icon swera_bangladesh_fullreport.pdf (pdf, 2.7 MiB)

443

AMO Energy Resource Center  

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

Home | Programs & Offices | Consumer Information Home | Programs & Offices | Consumer Information Sign In Dashboard Home Add to Bookmark Turn on more accessible mode Skip to main content Turn off more accessible mode HOME | Help (new window) AMO Energy Resources Center HOME Tools AMO Home Tools to Manage your Energy Use DOE eGuide for ISO 50001 DOE eGuide Lite Industrial Facilities Scorecard Plant Energy Profiler (PEP) Project Opportunities Tracker EnPI V3.0 Webinars Past Webinar Titles (*Requires Login) Software Tool Updates the contents of this div will be replaced Steam System Modeler Tool: The new Steam System Modeler allows you to create up to a 3-pressure-header basic model of your current steam system. The tool includes a series of adjustable characteristics simulating technical or input changes, thereby demonstrating how each component impacts the others and what changes may best promote overall efficiency and stability of the system. The tool can be found under the "Steam" category.

444

Geothermal Energy Resource Assessment  

DOE Green Energy (OSTI)

This report covers the objectives and the status of a long-range program to develop techniques for assessing the resource potential of liquid-dominated geothermal systems. Field studies underway in northern Nevada comprise a systematic integrated program of geologic, geophysical, and geochemical measurements, necessary to specify a drilling program encompassing heat flow holes, deep calibration holes, and ultimately, deep test wells. The status of Nevada field activities is described. The areas under study are in a region characterized by high heat flow where temperatures at depth in some geothermal systems exceed 180 C. Areas presently being examined include Beowawe Hot Springs in Whirlwind Valley. Buffalo Valley Hot Springs, Leach Hot Springs in Grass Valley, and Kyle Hot Springs in Buena Vista Valley. Geologic studies encompass detailed examinations of structure and lithology to establish the geologic framework of the areas. The geothermal occurrences are characterized by zones of intense fault intersection, which furnish permeable channelways for the introduction of meteoric water into regions of high temperature at depth.

Wollenberg, H.A.; Asaro, F.; Bowman, H.; McEvilly, T.; Morrison, F.; Witherspoon, P.

1975-07-01T23:59:59.000Z

445

Oil spill response resources  

E-Print Network (OSTI)

Pollution has become one of the main problems being faced by humanity. Preventing pollution from occurring might be the best idea but is not possible in this fast developing world. So the next best thing to do would be to respond to the pollution source in an effective manner. Oil spills are fast becoming pollution sources that are causing the maximum damage to the environment. This is owing to the compounds that are released and the way oil spreads in both water and land. Preventing the oil spill would be the best option. But once the oil has been spilled, the next best thing to do is to respond to the spill effectively. As a result, time becomes an important factor while responding to an oil spill. Appropriate response to contain and cleanup the spill is required to minimize its potential damage to the ecosystem. Since time and money play a very important role in spill response, it would be a great idea if decisions can be made in such a way that a quick response can be planned. The first part of this study deals with the formation of an 'Oil Spill Resources Handbook', which has information on all the important Oil Spill Contractors. The second and the main part of the study, deals with creating a database in Microsoft Access of the Oil Spill Contractors. The third portion of the study deals with planning an oil spill response using a systems approach.

Muthukrishnan, Shankar

1996-01-01T23:59:59.000Z

446

Robins Air Force Base integrated resource assessment. Volume 3, Resource assessment  

SciTech Connect

The US Air Force Materiel Command (AFMC) has tasked the US Department of Energy (DOE) Federal Energy Management Program (FEMP), supported by the Pacific Northwest Laboratory (PNL), to identify, evaluate, and assist in acquiring all cost-effective energy projects at Robins Air Force Base (AFB). This is part of a model program that PNL is designing to support energy-use decisions in the federal sector. This report provides the results of the fossil fuel and electric energy resource opportunity (ERO) assessments performed by PNL at the AFMC Robins AFB facility located approximately 15 miles south of Macon, Georgia. It is a companion report to Volume 1, Executive Summary, and Volume 2, Baseline Detail. The results of the analyses of EROs are presented in 13 common energy end-use categories (e.g., boilers and furnaces, service hot water, and building lighting). A narrative-description of each ERO is provided, including information on the installed cost, energy and dollar savings; impacts on operation and maintenance (O&M); and, when applicable, a discussion of energy supply and demand, energy security, and environmental issues. A description of the evaluation methodologies and technical and cost assumptions is also provided for each ERO. Summary tables present the cost-effectiveness of energy end-use equipment before and after the implementation of each ERO and present the results of the life-cycle cost (LCC) analysis indicating the net present value (NPV) and savings to investment ratio (SIR) of each ERO.

Sullivan, G.P.; Keller, J.M.; Stucky, D.J.; Wahlstrom, R.R.; Larson, L.L.

1993-10-01T23:59:59.000Z

447

Better Buildings Neighborhood Program: Business Model Resources  

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

Business Model Business Model Resources to someone by E-mail Share Better Buildings Neighborhood Program: Business Model Resources on Facebook Tweet about Better Buildings Neighborhood Program: Business Model Resources on Twitter Bookmark Better Buildings Neighborhood Program: Business Model Resources on Google Bookmark Better Buildings Neighborhood Program: Business Model Resources on Delicious Rank Better Buildings Neighborhood Program: Business Model Resources on Digg Find More places to share Better Buildings Neighborhood Program: Business Model Resources on AddThis.com... Getting Started Assess the Market Establish Goals & Objectives Develop Plans of Action Business Model Resources Driving Demand Financing Workforce Development Business Model Resources Business Models Workshop and Materials

448

High Performance Windows Volume Purchase: Information Resources  

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

Information Information Resources to someone by E-mail Share High Performance Windows Volume Purchase: Information Resources on Facebook Tweet about High Performance Windows Volume Purchase: Information Resources on Twitter Bookmark High Performance Windows Volume Purchase: Information Resources on Google Bookmark High Performance Windows Volume Purchase: Information Resources on Delicious Rank High Performance Windows Volume Purchase: Information Resources on Digg Find More places to share High Performance Windows Volume Purchase: Information Resources on AddThis.com... Home About For Builders For Residential Buyers For Light Commercial Buyers For Manufacturers For Utilities Information Resources Information Resources Numerous publications will be available to help educate buyers, product

449

SunShot Initiative: Solar Resource Assessment  

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

Solar Resource Assessment to Solar Resource Assessment to someone by E-mail Share SunShot Initiative: Solar Resource Assessment on Facebook Tweet about SunShot Initiative: Solar Resource Assessment on Twitter Bookmark SunShot Initiative: Solar Resource Assessment on Google Bookmark SunShot Initiative: Solar Resource Assessment on Delicious Rank SunShot Initiative: Solar Resource Assessment on Digg Find More places to share SunShot Initiative: Solar Resource Assessment on AddThis.com... Concentrating Solar Power Photovoltaics Systems Integration Research, Development, & Demonstration Distribution Grid Integration Transmission Grid Integration Solar Resource Assessment Technology Validation Power Electronics & Balance of System Hardware Technologies Competitive Awards Balance of Systems

450

Wind Energy Resource Atlas of the Philippines  

DOE Green Energy (OSTI)

This report contains the results of a wind resource analysis and mapping study for the Philippine archipelago. The study's objective was to identify potential wind resource areas and quantify the value of those resources within those areas. The wind resource maps and other wind resource characteristic information will be used to identify prospective areas for wind-energy applications.

Elliott, D.; Schwartz, M.; George, R.; Haymes, S.; Heimiller, D.; Scott, G.; McCarthy, E.

2001-03-06T23:59:59.000Z

451

Managing Carbon Regulatory Risk in Utility Resource Planning:Current Practices in the Western United States  

Science Conference Proceedings (OSTI)

Concerns about global climate change have substantially increased the likelihood that future policy will seek to minimize carbon dioxide emissions. Assuch, even today, electric utilities are making resource planning and investment decisions that consider the possible implications of these future carbon regulations. In this article, we examine the manner in which utilities assess the financial risks associated with future carbon regulations within their long-term resource plans. We base our analysis on a review of the most recent resource plans filed by fifteen electric utilities in the Western United States. Virtually all of these utilities made some effort to quantitatively evaluate the potential cost of future carbon regulations when analyzing alternate supply- and demand-side resource options for meeting customer load. Even without Federal climate regulation in the U.S., the prospect of that regulation is already having an impact on utility decision-making and resource choices. That said, the methods and assumptions used by utilities to analyze carbon regulatory risk, and the impact of that analysis on their choice of a particular resource strategy, vary considerably, revealing a number of opportunities for analytic improvement. Though our review focuses on a subset of U.S. electric utilities, this work holds implications for all electric utilities and energy policymakers who are seeking to minimize the compliance costs associated with future carbon regulations

Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

2008-05-16T23:59:59.000Z

452

Managing Carbon Regulatory Risk in Utility Resource Planning: Current Practices in the Western United States  

Science Conference Proceedings (OSTI)

Concerns about global climate change have substantially increased the likelihood that future policy will seek to minimize carbon dioxide emissions. As such, even today, electric utilities are making resource planning and investment decisions that consider the possible implications of these future carbon regulations. In this article, we examine the manner in which utilities assess the financial risks associated with future carbon regulations within their long-term resource plans. We base our analysis on a review of the most recent resource plans filed by fifteen electric utilities in the Western United States. Virtually all of these utilities made some effort to quantitatively evaluate the potential cost of future carbon regulations when analyzing alternate supply- and demand-side resource options for meeting customer load. Even without Federal climate regulation in the U.S., the prospect of that regulation is already having an impact on utility decision-making and resource choices. That said, the methods and assumptions used by utilities to analyze carbon regulatory risk, and the impact of that analysis on their choice of a particular resource strategy, vary considerably, revealing a number of opportunities for analytic improvement. Though our review focuses on a subset of U.S. electric utilities, this work holds implications for all electric utilities and energy policymakers who are seeking to minimize the compliance costs associated with future carbon regulations.

Barbose, Galen; Wiser, Ryan; Phadke, Amol; Goldman, Charles

2008-07-11T23:59:59.000Z

453

Unconventional Energy Resources: 2011 Review  

Science Conference Proceedings (OSTI)

This report contains nine unconventional energy resource commodity summaries prepared by committees of the Energy Minerals Division (EMD) of the American Association of Petroleum Geologists. Unconventional energy resources, as used in this report, are those energy resources that do not occur in discrete oil or gas reservoirs held in structural or stratigraphic traps in sedimentary basins. These resources include coal, coalbed methane, gas hydrates, tight gas sands, gas shale and shale oil, geothermal resources, oil sands, oil shale, and uranium resources. Current U.S. and global research and development activities are summarized for each unconventional energy commodity in the topical sections of this report. Coal and uranium are expected to supply a significant portion of the world's energy mix in coming years. Coalbed methane continues to supply about 9% of the U.S. gas production and exploration is expanding in other countries. Recently, natural gas produced from shale and low-permeability (tight) sandstone has made a significant contribution to the energy supply of the United States and is an increasing target for exploration around the world. In addition, oil from shale and heavy oil from sandstone are a new exploration focus in many areas (including the Green River area of Wyoming and northern Alberta). In recent years, research in the areas of geothermal energy sources and gas hydrates has continued to advance. Reviews of the current research and the stages of development of these unconventional energy resources are described in the various sections of this report.

Collaboration: American Association of Petroleum Geologists

2011-12-15T23:59:59.000Z

454

Mexico Wind Resource Assessment Project  

Science Conference Proceedings (OSTI)

A preliminary wind energy resource assessment of Mexico that produced wind resource maps for both utility-scale and rural applications was undertaken as part of the Mexico-U.S. Renewable Energy Cooperation Program. This activity has provided valuable information needed to facilitate the commercialization of small wind turbines and windfarms in Mexico and to lay the groundwork for subsequent wind resource activities. A surface meteorological data set of hourly data in digital form was utilized to prepare a more detailed and accurate wind resource assessment of Mexico than otherwise would have been possible. Software was developed to perform the first ever detailed analysis of the wind characteristics data for over 150 stations in Mexico. The hourly data set was augmented with information from weather balloons (upper-air data), ship wind data from coastal areas, and summarized wind data from sources in Mexico. The various data were carefully evaluated for their usefulness in preparing the wind resource assessment. The preliminary assessment has identified many areas of good-to-excellent wind resource potential and shows that the wind resource in Mexico is considerably greater than shown in previous surveys.

Schwartz, M.N.; Elliott, D.L.

1995-05-01T23:59:59.000Z

455

NREL: Renewable Resource Data Center - Biomass Resource Information  

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

Biomass Resource Information Photo of an NREL researcher checking the tubing of a small-scale bioreactor. Dr. PinChing Maness checks a bioreactor that produces hydrogen via the...

456

Commit to Efficiency Resource Kit  

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

Resource Resource Kit Step 1. Commit to efficiency. Open this resource kit, register your commitment at femp.energy.gov/commit, and review your Commit to Efficiency materials. Step 2. Push for efficiency. Buy and specify energy-efficient products for every purchase. Step 3. Spread the word! Tell your colleagues to commit to efficiency, and ask your suppliers for exclusively energy-efficient products. Commercial Space Heating and Cooling * Boilers p * Central Air Conditioners n * Chillers - Air-Cooled Electric p - Water-Cooled Electric p * Air Source Heat Pumps n Commercial Water Heating * Gas Water Heaters p Residential Space Heating and Cooling

457

Teacher Resource Center: Teacher Networks  

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

Teacher Networks Teacher Networks TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources Fermilab offers support to area networks where teachers share successful teaching materials and strategies. These groups meet monthly or bimonthly during the school year in local schools or colleges in order to share skills, teaching strategies and materials. Patterned after the Illinois State Physics Project, most of these networks are spin-offs of Fermilab's

458

Commit to Efficiency Resource Kit  

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

Resource Resource Kit Step 1. Commit to efficiency. Open this resource kit, register your commitment at femp.energy.gov/commit, and review your Commit to Efficiency materials. Step 2. Push for efficiency. Buy and specify energy-efficient products for every purchase. Step 3. Spread the word! Tell your colleagues to commit to efficiency, and ask your suppliers for exclusively energy-efficient products. Commercial Space Heating and Cooling * Boilers p * Central Air Conditioners n * Chillers - Air-Cooled Electric p - Water-Cooled Electric p * Air Source Heat Pumps n Commercial Water Heating * Gas Water Heaters p Residential Space Heating and Cooling

459

NREL's FY09 CSP Resource Assessment Plans: Solar Resource Assessment Workshop  

DOE Green Energy (OSTI)

Solar Resource Assessment Workshop, Denver CO, Oct 29, 2008 presentation: NREL's FY09 CSP Resource Assessment Plans

Renne, D.

2008-10-29T23:59:59.000Z

460

Type C: Caldera Resource | Open Energy Information  

Open Energy Info (EERE)

C: Caldera Resource C: Caldera Resource Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Print PDF Type C: Caldera Resource Dictionary.png Type C: Caldera Resource: No definition has been provided for this term. Add a Definition Brophy Occurrence Models This classification scheme was developed by Brophy, as reported in Updating the Classification of Geothermal Resources. Type A: Magma-heated, Dry Steam Resource Type B: Andesitic Volcanic Resource Type C: Caldera Resource Type D: Sedimentary-hosted, Volcanic-related Resource Type E: Extensional Tectonic, Fault-Controlled Resource Type F: Oceanic-ridge, Basaltic Resource Caldera resources may be found in many tectonic settings but are defined by their caldera structures which control the flow of the fluids in the system.

Note: This page contains sample records for the topic "ogsm resource 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

Exploiting semantic role resources for preposition disambiguation  

Science Conference Proceedings (OSTI)

This article describes how semantic role resources can be exploited for preposition disambiguation. The main resources include the semantic role annotations provided by the Penn Treebank and FrameNet tagged corpora. The resources also include the assertions ...

Tom O'Hara; Janyce Wiebe

2009-06-01T23:59:59.000Z

462

Draft 1992 Resource Program : Summary Report.  

Science Conference Proceedings (OSTI)

The Resource Program is the Bonneville Power Administration's primary process for deciding how to meet future resource needs -- how much new resource development is needed by BPA, which types of resources to acquire and option, how to go about acquiring them, and how much to spend. The Northwest Power Planning Council completed a new Northwest Power Plan in 1991. This Draft Resource Program describes how BPA proposes to do its part to meet the Council's regional resource objectives.

United States. Bonneville Power Administration.

1992-01-01T23:59:59.000Z

463

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

SciTech Connect

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

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

2006-02-01T23:59:59.000Z

464

Indiana 50 M Wind Resource  

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

Indiana 50 M Wind Resource Indiana 50 M Wind Resource Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: March, 2004 Title: Indiana 50 M Wind Resource Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

465

Information Resources | Department of Energy  

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

Information Resources Information Resources Information Resources It is widely recognized that shared knowledge is the enabler of scientific progress. This recognition, combined with the fact that scientific and technical information (STI) is a principal deliverable coming from the Federal government's R&D program, underscores the Department's commitment to providing a wide-range of S&T Information Resources. In support of this commitment, the DOE Office of Scientific and Technical Information (OSTI) fulfills its mission by providing leadership and coordination for the Department-wide Scientific and Technical Information Program. OSTI therefore assures access by DOE, the scientific research community, academia, U.S. industry and the public to DOE research results.

466

Ohio 50 m Wind Resource  

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

Ohio 50 m Wind Resource Ohio 50 m Wind Resource Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: May, 2004 Title: Ohio 50 m Wind Resource Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants. Online_Linkage:

467

Missouri 50 m Wind Resource  

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

50 m Wind Resource 50 m Wind Resource Metadata also available as Metadata: Identification_Information Data_Quality_Information Spatial_Data_Organization_Information Spatial_Reference_Information Entity_and_Attribute_Information Distribution_Information Metadata_Reference_Information Identification_Information: Citation: Citation_Information: Originator: AWS TrueWind/NREL Publication_Date: November, 2004 Title: Missouri 50 m Wind Resource Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

468

Additional Resources | Department of Energy  

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

Services » Energy Assurance » Emergency Preparedness » Community Services » Energy Assurance » Emergency Preparedness » Community Guidelines » Additional Resources Additional Resources Additional Resources Energy Assurance Planning The Local Government Energy Assurance Planning (LEAP) program, developed by the Public Technology Institute and the U.S. Department of Energy, offers resources to help local governments of all sizes in developing energy assurance plans for their communities. U.S. Department of Energy, State and Local Energy Assurance Planning The National Association of State Energy Officials (NASEO) The National Association of Regulatory Utility Commissioners The National Response Framework Public Emergency Management Organizations U.S. Federal Emergency Management Agency (FEMA) FEMA disaster assistance State governor's office

469

offshore resource | OpenEI  

Open Energy Info (EERE)

resource resource Dataset Summary Description Global Wind Potential Supply Curves by Country, Class, and Depth (quantities in GW) Source National Renewable Energy Laboratory Date Released July 12th, 2012 (2 years ago) Date Updated July 12th, 2012 (2 years ago) Keywords offshore resource offshore wind renewable energy potential Data application/vnd.openxmlformats-officedocument.spreadsheetml.sheet icon offshore_resource_100_vs2.xlsx (xlsx, 41.7 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote

470

STI Resources | Department of Energy  

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

STI Resources STI Resources STI Resources DOE STI Resources Science Accelerator logo Through the DOE Science Accelerator portal, you can search and access the full text of 300,000 electronic full-text research reports; 2 million energy citations going back to the Manhattan Project era; 5 million e-prints (journal article pre-publication drafts and scholarly papers posted by authors); DOE R&D accomplishments; DOE patents; energy science and technology software; multimedia videos about DOE and other science research; DOE non-text data collections; proceedings and papers from science conferences; green energy research results; and DOE technology transfer information. SciTech Connect logo SciTech Connect is a portal to free, publicly-available DOE-sponsored R&D results including technical reports,

471

Harnessing Folksonomies for Resource Classification  

E-Print Network (OSTI)

In our daily lives, organizing resources into a set of categories is a common task. Categorization becomes more useful as the collection of resources increases. Large collections of books, movies, and web pages, for instance, are cataloged in libraries, organized in databases and classified in directories, respectively. However, the usual largeness of these collections requires a vast endeavor and an outrageous expense to organize manually. Recent research is moving towards developing automated classifiers that reduce the increasing costs and effort of the task. Little work has been done analyzing the appropriateness of and exploring how to harness the annotations provided by users on social tagging systems as a data source. Users on these systems save resources as bookmarks in a social environment by attaching annotations in the form of tags. It has been shown that these tags facilitate retrieval of resources not only for the annotators themselves but also for the whole community. Likewise, these tags provid...

Zubiaga, Arkaitz

2012-01-01T23:59:59.000Z

472

OpenEI - resource assessment  

Open Energy Info (EERE)

25 Jun 2013 14:25:10 +0000 Skkhadem 965 at http:en.openei.orgdatasets United States weather resource data, compatible with System Advisor Model (SAM) http:en.openei.org...

473

Fort Carson Wind Resource Assessment  

DOE Green Energy (OSTI)

This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and economic potential of a wind turbine project on a ridge in the southeastern portion of the Fort Carson Army base.

Robichaud, R.

2012-10-01T23:59:59.000Z

474

Energy Basics: Wind Energy Resources  

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

Resources Wind energy can be produced anywhere in the world where the wind blows with a strong and consistent force. Windier locations produce more energy, which lowers the cost of...

475

Renewable Resources for Hydrogen (Presentation)  

Science Conference Proceedings (OSTI)

This presentation provides an overview of renewable resources for hydrogen. It was presented at the National Hydrogen Association Hydrogen Conference & Expo in Long Beach, CA, May 3-6, 2010.

Jalalzadeh-Azar, A. A.

2010-05-03T23:59:59.000Z

476

Bayesian Proportional Resource Allocation Games  

E-Print Network (OSTI)

We consider a proportional allocation mechanism that gives to each user an amount of a resource proportional to the user's bid. We study a corresponding Bayesian game in which each user has incomplete information on the ...

Tsitsiklis, John N.

477

PDSF I/O Resources  

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

may crash. Modify Existing Jobs To Add IO Resource Flags For example you have a job with number 4057136 qstat -j 4057136 Then look for a line hard resourcelist: Assume it says:...

478

Unconventional Resources Technology Advisory Committee | Department of  

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

Unconventional Resources Unconventional Resources Technology Advisory Committee Unconventional Resources Technology Advisory Committee The Unconventional Resources Technology Advisory Committee advises DOE on its research in unconventional oil and natural gas resources, such as shale gas. The Unconventional Resources Technology Advisory Committee advises DOE on its research in unconventional oil and natural gas resources, such as shale gas. Mission The Secretary of Energy, in response to provisions of Subtitle J, Sec. 999 of the Energy Policy Act of 2005, must carry out a program of research, development, demonstration, and commercial application of technologies for ultra-deepwater and onshore unconventional natural gas and other petroleum resource exploration and production, as well as addressing the technology

479

Tribal Energy Program: Geothermal Energy Resources  

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

Printable Version Share this resource Send a link to Tribal Energy Program: Geothermal Energy Resources to someone by E-mail Share Tribal Energy Program: Geothermal Energy...

480

Solar Ventilation Preheating Resources and Technologies | Department...  

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

Ventilation Preheating Resources and Technologies Solar Ventilation Preheating Resources and Technologies October 7, 2013 - 11:50am Addthis Photo of a dark brown perforated metal...

Note: This page contains sample records for the topic "ogsm resource 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

Federal Data Resources | Data.gov  

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

Federal Data Resources Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Federal Data Resources Linked...

482

Demand Response as a System Reliability Resource  

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

Demand Response as a System Reliability Resource Title Demand Response as a System Reliability Resource Publication Type Report Year of Publication 2012 Authors Eto, Joseph H.,...

483

Environmental Resources Management ERM | Open Energy Information  

Open Energy Info (EERE)

Page Edit with form History Facebook icon Twitter icon Environmental Resources Management ERM Jump to: navigation, search Name Environmental Resources Management (ERM) Place...

484

Federal Energy Management Program: Technology Deployment Resources  

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

Technology Deployment Resources to someone by E-mail Share Federal Energy Management Program: Technology Deployment Resources on Facebook Tweet about Federal Energy Management...

485

Federal Energy Management Program: Distributed Energy Resources...  

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

Energy Resources and Combined Heat and Power to someone by E-mail Share Federal Energy Management Program: Distributed Energy Resources and Combined Heat and Power on...

486

Federal Energy Management Program: Distributed Energy Resources...  

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

Resources and Combined Heat and Power Contacts to someone by E-mail Share Federal Energy Management Program: Distributed Energy Resources and Combined Heat and Power Contacts on...

487

Federal Energy Management Program: Distributed Energy Resource...  

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

Resource Basics to someone by E-mail Share Federal Energy Management Program: Distributed Energy Resource Basics on Facebook Tweet about Federal Energy Management Program:...

488

Minnesota Energy Resources (Gas) - Residential Energy Efficiency...  

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

Agencies You are here Home Savings Minnesota Energy Resources (Gas) - Residential Energy Efficiency Rebate Program Minnesota Energy Resources (Gas) - Residential Energy...

489

NREL: Electricity Integration Research - Electricity, Resources...  

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

Electricity, Resources, and Building Systems Integration Center NREL's Electricity, Resources, and Building Systems Integration Center brings together diverse groups of experts...

490

Recommended Resources: Materials in Nuclear Power Systems  

Science Conference Proceedings (OSTI)

Feb 12, 2007 ... A compilation of recommended resources from a panel of TMS Subject Matter Experts. Citations and links for articles and digital resources are...

491

NREL: Learning - Student Resources on Biofuels  

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

Student Resources on Biofuels Photo of a school bus and children. Many school buses can run on alternative fuels, including biodiesel. The following resources can provide you with...

492

Science Accelerator Resource Descriptions, Office of Scientific...  

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

Resource Descriptions Below you will find descriptions of each of the scientific and technical resources searchable in the Science Accelerator. DOE Data Explorer Locate collections...

493

Federal Energy Management Program: Distributed Energy Resources...  

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

Distributed Energy Resources and Combined Heat and Power Distributed energy resources (DER) and combined heat and power (CHP) systems help Federal agencies meet increased demand,...

494

Big River Resources LLC | Open Energy Information  

Open Energy Info (EERE)

Name Big River Resources LLC Place West Burlington, Iowa Zip 52655 Product Dry-mill bioethanol producer with a cooperative structure. References Big River Resources LLC1...

495

Biomass Resources Corporation | Open Energy Information  

Open Energy Info (EERE)

Biomass Resources Corporation Jump to: navigation, search Name Biomass Resources Corporation Place West Palm Beach, Florida Zip 33401 Product The Company has established a unique...

496

Technical Report - Cuba Wind Energy Resource Assessment  

Open Energy Info (EERE)

Cuba Wind Energy Resource Assessment (Abstract):This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for...

497

Technical Report - China Wind Energy Resource Assessment  

Open Energy Info (EERE)

China Wind Energy Resource Assessment (Abstract):This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for...

498

Technical Report - Ghana Wind Energy Resource Assessment  

Open Energy Info (EERE)

Ghana Wind Energy Resource Assessment (Abstract):This document describes the development of detailed high-resolution (1 km2) wind energy resource maps for...

499

Category:NEPA Resources | Open Energy Information  

Open Energy Info (EERE)

Resources Resources Jump to: navigation, search Category of resources that could be impacted by activities related to geothermal development. Pages in category "NEPA Resources" The following 39 pages are in this category, out of 39 total. A Access and Transportation Air Quality Areas of Critical Environmental Concern B BLM Sensitive Species C Candidate and Special Status Species Cultural Resources E Economic Values Environmental Justice F Fire Resources Fisheries Resources Floodplains G Geology and Minerals I Induced Seismicity Impact I cont. Intentional Destructive Acts Invasive, Nonnative Species L Lands and Realty Lands with Wilderness Characteristics M Migratory Birds N Native American Concerns Noise P Paleontological Resources Prime or Unique Farmlands Public Health and Safety

500

Federal Energy Management Program: Renewable Energy Resource...  

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

Renewable Energy Resource Maps and Screening Tools to someone by E-mail Share Federal Energy Management Program: Renewable Energy Resource Maps and Screening Tools on Facebook...