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1

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

2

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

3

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

4

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

5

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

6

Documentation of the Oil and Gas Supply Module (OGSM)  

SciTech Connect

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

7

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":""}]}

8

Documentation of the Oil and Gas Supply Module (OGSM)  

SciTech Connect

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

9

Documentation of the oil and gas supply module (OGSM)  

SciTech Connect

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

10

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.

11

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

12

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

13

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

14

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).

15

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...

16

Key Assumptions Policy Issues  

E-Print Network (OSTI)

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

17

Supply-side Resources & Planning Assumptions  

E-Print Network (OSTI)

with forecast escalation/deescalation. Capital cost expressed as "overnight" total plant cost; w 90% 100% 16% 55% 26% 10% 20% 30% 40% 50% 60% 70% 80% Cash expended Annual expenditure Cumulative expenditure (excl EDC & IDC) 1% 2% 0% 10% 1 2 3 4 5 Year 96/19/2013 Construction schedule & cash flow

18

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

19

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

20

Section 25: Future State Assumptions  

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

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

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

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

22

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

23

Resources  

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

Case studies and additional resources on implementing renewable energy in Federal new construction and major renovations are available.

24

Resources  

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

Resources News & Events Expand News & Events Skip navigation links Smart Grid Demand Response Agricultural Residential Demand Response Commercial & Industrial Demand Response...

25

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).

26

EIA - Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

7 7 Assumptions to the Annual Energy Outlook 2007 This report summarizes the major assumptions used in the NEMS to generate the AEO2007 projections. Contents (Complete Report) Download complete Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Introduction Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800. Macroeconomic Activity Module Macroeconomic Activity Module Section to the Assumptions to the Annual Energy Outlook 2007 Report. Need help, contact the National Energy Information Center at 202-586-8800.

27

Survey of Western U.S. Electric Utility Resource Plans  

E-Print Network (OSTI)

energy distribution, and storage assumptions Effective resource planning activities can inform long-term electric

Wilkerson, Jordan

2014-01-01T23:59:59.000Z

28

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.

29

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.

30

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.

31

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

32

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

33

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network (OSTI)

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

34

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network (OSTI)

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

35

Empirically Revisiting the Test Independence Assumption  

E-Print Network (OSTI)

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

Ernst, Michael

36

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

37

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

38

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.

39

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).

40

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.

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

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.

42

Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012  

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

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

43

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

44

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

45

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

46

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

47

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.

48

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

49

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.

50

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.

51

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

52

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

53

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).

54

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).

55

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.

56

2010 Manufacturing Energy and Carbon Footprints: Definitions and Assumptions  

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

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

57

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.

58

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

59

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.

60

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

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.


61

MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT  

SciTech Connect

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

R.E. Sweeney

2001-02-08T23:59:59.000Z

62

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

63

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

64

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

65

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.

66

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

67

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

68

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

69

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

70

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.

71

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

72

COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1  

E-Print Network (OSTI)

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

Pantaleone, Jim

73

Reasoning by Assumption: Formalisation and Analysis of Human Reasoning Traces  

E-Print Network (OSTI)

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

Treur, Jan

74

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

75

Resource Analysis  

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

Resource Analysis determines the quantity and location of resources needed to produce hydrogen. Additionally, resource analysis quantifies the cost of the resources, as a function of the amount...

76

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.

77

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

78

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

79

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

80

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

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

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

82

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.

83

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

84

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.

85

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.

86

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.

87

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.

88

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.

89

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.

90

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

91

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

92

Diversion assumptions for high-powered research reactors  

SciTech Connect

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

Binford, F.T.

1984-01-01T23:59:59.000Z

93

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.

94

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.

95

Assumptions to the Annual Energy Outlook 1999 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by obtaining market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation Report: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, DOE/EIA-MO62/1, January 1999.

96

Assumptions to the Annual Energy Outlook - 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).

97

Assumptions to the Annual Energy Outlook 2000 - Natural Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution network that links them. In addition, natural gas flow patterns are a function of the pattern in the previous year, coupled with the relative prices of gas supply options as translated to the represented market “hubs.” The major assumptions used within the NGTDM are grouped into five general categories. They relate to (1) the classification of demand into core and noncore transportation service classes, (2) the pricing of transmission and distribution services, (3) pipeline and storage capacity expansion and utilization, (4) the implementation of recent regulatory reform, and (5) the implementation of provisions of the Climate Change Action Plan (CCAP). A complete listing of NGTDM assumptions and in-depth methodology descriptions are presented in Model Documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System, Model Documentation 2000, DOE/EIA-M062(2000), January 2000.

98

The contour method cutting assumption: error minimization and correction  

SciTech Connect

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

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

2010-01-01T23:59:59.000Z

99

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.

100

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

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.


101

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

102

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

103

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.

104

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.

105

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

106

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).

107

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).

108

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

109

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.

110

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.

111

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).

112

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.

113

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

114

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).

115

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

116

EIA - Assumptions to the Annual Energy Outlook 2009 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2009 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

117

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

118

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

119

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

120

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.

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 - 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

122

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,

123

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

124

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).

125

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

126

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).

127

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).

128

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

129

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

130

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)

131

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

132

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.

133

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

134

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].

135

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

136

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

137

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),

138

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

139

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

140

EIA-Assumptions to the Annual Energy Outlook - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2007 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind.112 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

Note: This page contains sample records for the topic "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 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,

142

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,

143

Marketing Resources  

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

Expand Utility Resources News & Events Expand News & Events Skip navigation links Marketing Resources Reports, Publications, and Research Utility Toolkit Informational...

144

1994 Pacific Northwest Loads and Resources Study.  

SciTech Connect

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

145

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.

146

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

147

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).

148

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.

149

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.

150

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

151

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).

152

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

153

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

E-Print Network (OSTI)

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

Van Den Eijnden, Eric

154

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

155

Resources & Links  

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

Project Western Interconnection Synchrophasor Project Resources & Links Demand Response Energy Efficiency Emerging Technologies Smart grid fact sheet Department of...

156

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

157

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

E-Print Network (OSTI)

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

Silvertown, Jonathan

158

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

E-Print Network (OSTI)

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

Luding, Stefan

159

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

E-Print Network (OSTI)

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

Lee, Dong Heon

2012-06-07T23:59:59.000Z

160

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

SciTech Connect

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

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

2014-04-01T23:59:59.000Z

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

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

162

Energy Efficiency Resource Standards Resources  

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

Energy efficiency resource standards mandate a quantified energy efficiency goal for an energy provider or jurisdiction within a predetermined timeframe.

163

Moldy Assumptions  

E-Print Network (OSTI)

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

Heully, Gustave Paul

2012-01-01T23:59:59.000Z

164

Additional Resources  

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

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...

165

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

E-Print Network (OSTI)

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

Webster, Tom; Benedek, Corinne; Bauman, Fred

2008-01-01T23:59:59.000Z

166

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

Science Journals Connector (OSTI)

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

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

2012-12-01T23:59:59.000Z

167

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

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

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

168

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

E-Print Network (OSTI)

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

Bernhard Rothenstein; Ioan Damian

2005-07-03T23:59:59.000Z

169

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

Science Journals Connector (OSTI)

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

Stanley Sloan

2000-01-01T23:59:59.000Z

170

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.

171

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)

172

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

173

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

174

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

175

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

SciTech Connect

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

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

2013-01-01T23:59:59.000Z

176

Exploration of Resource and Transmission Expansion Decisions in the Western Renewable Energy Zone Initiative  

E-Print Network (OSTI)

Cost with Starting Point Assumptions ($/MWh) Energy- Weighted Median (10th; 90th Percentile) Hydro Biomass Geothermalenergy levels on resource composition, costs, and transmission expansion Impact 12% Renewables (TWh/yr) Geothermal

Mills, Andrew D

2011-01-01T23:59:59.000Z

177

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

E-Print Network (OSTI)

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

Ravikumar, B.

178

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

E-Print Network (OSTI)

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

Junker, Brian

179

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

E-Print Network (OSTI)

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

Nicoud, Franck

180

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

E-Print Network (OSTI)

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

Kent, University of

Note: This page contains sample records for the topic "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

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

182

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

183

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

184

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.

185

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

186

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.

187

Resource descriptions, ontology, and resource discovery  

Science Journals Connector (OSTI)

Resource discovery systems may assist scientists in the selection of bioinformatics resources suitable to implement scientific workflows. In this paper we address several problems related to resource discovery. They include resource publication formats, resource registration, and syntactic vs. semantic discovery. We analyse the BioMoby registry and present an algorithm that curates the BioMoby hierarchy into an ontology for use in semantic-driven resource discovery.

Zoe Lacroix; Maliha Aziz

2010-01-01T23:59:59.000Z

188

ResourceResource AdequacyAdequacy  

E-Print Network (OSTI)

resources (diesel generators, etc.) Standby Resources Type 2 Buyback provisions on load Modeled in Post Review final assessment Council Power Review final Power Council Approval 7 #12;

189

Resources to reserves  

Science Journals Connector (OSTI)

The resource bases and resources of the various energy forms of natural resources have been discussed. It is now opportune to consider the transformation of resources to reserves. This is effected by explorati...

D. C. Ion

1980-01-01T23:59:59.000Z

190

Thermodynamics of resource recycling  

Science Journals Connector (OSTI)

Thermodynamics of resource recycling ... The author applies principles of thermodynamics to analyze the efficiency of resource recycling. ...

W. B. Hauserman

1988-01-01T23:59:59.000Z

191

Resource allocation contracts for open analytic runtime models  

Science Journals Connector (OSTI)

Open Analytic Runtime (OAR) Models embed analysis algorithms into runtime architectural models, thus integrating the model and its analytic interpretations. Such an integration is critical for Cyber-Physical Systems (CPS) when model parts are independently ... Keywords: aadl, assumption management, cyber-physical systems, design by contract, resource allocation

Min-Young Nam; Dionisio de Niz; Lutz Wrage; Lui Sha

2011-10-01T23:59:59.000Z

192

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

193

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

SciTech Connect

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

Binford, F.T.

1984-01-01T23:59:59.000Z

194

WATER RESOURCES NEBRASKA WATER RESOURCES RESEARCH INSTITUTE  

E-Print Network (OSTI)

and energy are inextricably bound. Energy is consumed and sometimes produced by every form of water resourcesWATER RESOURCES NEBRASKA WATER RESOURCES RESEARCH INSTITUTE 212 AGRICULTURAL ENGINEERING BUILDING of the National Environmental Policy Act of 1969, water resources professionals squarely faced the fact that water

Nebraska-Lincoln, University of

195

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).

196

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

197

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.

198

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).

199

Testing Surrogacy Assumptions: Can Threatened and Endangered Plants Be Grouped by Biological Similarity  

E-Print Network (OSTI)

of species in need of management but limited resources and data. One type of surrogate approach involves@sesync.org Introduction Policy makers and conservation managers strive to use the best available science to determine conservation and management [1­3]. Surrogate approaches lie between generic rules of thumb and detailed study

Neel, Maile

200

Linking species abundance distributions in numerical abundance and biomass through simple assumptions about community structure  

Science Journals Connector (OSTI)

...typically recorded. Biomass is an alternative...of resource use; energy flow is correlated...that the same total energy flux would support a larger biomass of a large bodied...by a decrease in biomass, community energy use remained approximately...

2010-01-01T23:59:59.000Z

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.


201

Universally composable adaptive oblivious transfer (with access control) from standard assumptions  

Science Journals Connector (OSTI)

In this paper, we provide the first scheme that realises an attribute-based access control system for static resources that offers maximal privacy and is secure in the universal composability framework (UC). More precisely, we offer a protocol for adaptive ... Keywords: anonymous credentials, attribute-based access control, oblivious transfer, privacy

Masayuki Abe; Jan Camenisch; Maria Dubovitskaya; Ryo Nishimaki

2013-11-01T23:59:59.000Z

202

An analysis of geothermal resource development on Unalaska Island, Alaska  

SciTech Connect

A rapid expansion in the seafood industry and projected oil, gas and mining developments have resulted in a shortage of power on Unalaska Island. Currently, all power is supplied by small diesel generators at a cost of 340 mills/kwh for the local utility system. Available data indicate the potential for a significant high temperature geothermal resource on Makushin Volcano, west of the town of Unalaska. A summary of the considerations affecting the development of the Makushin resource to supply power to Unalaska is presented. A preliminary economic analysis of various resource and development assumptions indicated that geothermal power can be competitive with diesel power even though capital investment is high.

Spencer, S.G.; Chapman-Riggsbee, W.; Long, G.A.

1982-10-01T23:59:59.000Z

203

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

SciTech Connect

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

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

1999-06-01T23:59:59.000Z

204

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

205

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

206

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.

207

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

208

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

209

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

210

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

211

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.

212

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

213

NREL: Renewable Resource Data Center - Biomass Resource Data  

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

Data The following biomass resource data collections can be found in the Renewable Resource Data Center (RReDC). Current Biomass Resource Supply An estimate of biomass resources...

214

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

215

Information Resources - EERE Commercialization Office  

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

Information Resources Site Map Printable Version Share this resource National Laboratories Information Resources Here you will find various informational resources related to the...

216

Resources | Jefferson Lab  

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

Resources Resources Machine Control Center Display Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows...

217

Ombuds Self Help Resources  

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

Self Help Resources Ombuds Self Help Resources Committed to the fair and equitable treatment of all employees, contractors, and persons doing business with the Laboratory. Contact...

218

Resources | Department of Energy  

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

Filter by Audience Filter by Resource Type Solar Powering America supports solar energy use for a variety of stakeholders in the United States. Here you will find resources...

219

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

220

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

E-Print Network (OSTI)

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

E. Minguzzi

2014-11-28T23:59:59.000Z

Note: This page contains sample records for the topic "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

Career Map: Resource Scientist  

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

The Wind Program's Career Map provides job description information for Resource Scientist positions.

222

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.

223

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

Science Journals Connector (OSTI)

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

N.S. Hoang; A.G. Ramm

2010-01-01T23:59:59.000Z

224

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

SciTech Connect

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

225

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

226

Student Resources and Services 433 Student Resources  

E-Print Network (OSTI)

Student Resources and Services 433 Student Resources and Services The University of North Carolina at Charlotte provides a comfortable and enjoyable environment for students that is conducive to studying. The services, facilities, and programs of the University promote individual student development and foster

Xie,Jiang (Linda)

227

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

SciTech Connect

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

228

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

E-Print Network (OSTI)

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

Belogay, Eugene A.

229

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

230

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

Open Energy Info (EERE)

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

231

Solar Resource Assessment  

SciTech Connect

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

232

Reserves and Resources  

Science Journals Connector (OSTI)

Assessments of resources belong to the realm of educated guesses. Conceptually distinct from resources and occupying a higher ranking in regard to precision, certainty and accuracy in mineral resou...

Ooi Jin Bee

1982-01-01T23:59:59.000Z

233

Financial Planning Resource Allocation  

E-Print Network (OSTI)

Financial Planning Resource Allocation Human Resources Administrative Services Recruitment Management Leadership Studies Minor Admissions Information Desk & Game Center Fraternity/Sorority Life & Cross-Cultural Support Board Dining Medical Services Liaison for Faculty, Staff & Scholarships Retail

Barrash, Warren

234

Energy Efficient Radio Resource  

E-Print Network (OSTI)

Energy Efficient Radio Resource Management in a Coordinated Multi-Cell Distributed Antenna System Omer HALILOGLU Introduction System Model Performance Evaluation Conclusion References Energy Efficient Hacettepe University 5 September 2014 Omer HALILOGLU (Hacettepe University) Energy Efficient Radio Resource

Yanikomeroglu, Halim

235

OpenMP Resources  

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

some useful OpenMP resources and tutorials: Official OpenMP Web Site: OpenMP standards, API specifications, tutorials, forums, and a lot more other information and resources. Tim...

236

Outdoor Lighting Resources  

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

DOE offers a variety of resources to guide municipalities, utilities, and others in their evaluation of LED street lighting products.

237

World Energy Resources  

Science Journals Connector (OSTI)

World Energy Resources ... Coal reserves are by far the largest proved energy sources we have, said Parker. ...

1954-05-17T23:59:59.000Z

238

PACENow Resources | Department of Energy  

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

PACENow Resources PACENow Resources Provides a broad range of property assessed clean energy resources. Author: PACENow PACENow Website More Documents & Publications Financing...

239

Fisheries Resources | Open Energy Information  

Open Energy Info (EERE)

Fisheries Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleFisheriesResources&oldid612306" Category: NEPA Resources...

240

SPACE RESOURCES ROUNDTABLE IX  

E-Print Network (OSTI)

in developing the resources of space, including the Moon, Mars, asteroids, comets, and other bodies organizations. The ninth Space Resources Roundtable solicits presentations about: · Orbital or landed measurements of the Moon, Mars, and/or asteroids and comets to identify and characterize potential resources

Rathbun, Julie A.

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

Wood Resources International  

E-Print Network (OSTI)

Wood Resources International Wood Raw Material Consumption on the Rise Despite Weak Global Economy UNECE Timber Committee Meeting October 7-8, 2003 Geneva, Switzerland Håkan Ekström Wood Resources International #12;Wood Resources International Outline · Roundwood Removals · Roundwood Consumption · Raw

242

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

243

Alternative Uses for Resources in Part-time Farming in Northeast Texas.  

E-Print Network (OSTI)

to land, lahnr management and risks) from present resources ranges from low of $417 for one representative situation to a high of for another typical part-time farm situation. I rm Opera irk Oppo~ mization. - rtor with rtunities. Situation A... to land, labor, risks and management. ntludes four broods of 5,000 birds each. brsumes that no additional investment capital is needed, Within the framework of assumptions out- lined, four typical resource situations were analyzed : A. Farm operator...

Martin, James R.; Southern, John H.

1963-01-01T23:59:59.000Z

244

Conservation Conservation ResourcesConservation Resources  

E-Print Network (OSTI)

an inventory of readyMaintain an inventory of ready--toto--constructconstruct coal & wind generation for postConfirm cost & availability of promising resources ­­ Oil sandsOil sands cogencogen, coal gasification, carbon

245

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

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

246

STATE OF CALIFORNIA --NATURAL RESOURCES AGENCY EDMUND G. BROWN JR., Governor CALIFORNIA ENERGY COMMISSION  

E-Print Network (OSTI)

, a reasonable assumption must be made about how much energy is lost due to electrical resistanceSTATE OF CALIFORNIA -- NATURAL RESOURCES AGENCY EDMUND G. BROWN JR., Governor CALIFORNIA ENERGY COMMISSION 1516 Ninth Street Sacramento, California 95814 Main website: www.energy.ca.gov Notice

247

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.

248

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

249

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

250

Japanese resource dependence  

SciTech Connect

This thesis is an examination of Japan's strategic resource dependence and her reliance of the three raw materials-rich regions of Southeast Asia (ASEAN), the Persian Gulf, and Southern Africa. A discussion of the Japanese formula for securing resources in the less developed countries of the 'South' is included along with a brief overview of her onshore resource utilization in business/industry. The roles of direct foreign investment, official development assistance, energy conservation, and Japanese multinationalization are discussed.

Sim, R.W.

1982-03-01T23:59:59.000Z

251

Arctic energy resources  

SciTech Connect

The Arctic is a vulnerable region with immense resources. These range from the replenishable (tidal energy, hydroelectricity, wood, biomass, fish, game, and geothermal energy) to the non-replenishable (coal, minerals, natural gas, hydrocarbon deposits). But the problems of exploiting such resources without damaging the environment of the Arctic are formidable. In this book all aspects are considered: occurrence of energy resources; the technological and economic aspects of exploration and exploitation; the environmental and social impact of technological development.

Rey, L.

1983-01-01T23:59:59.000Z

252

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.

253

Geothermal Resources and Technologies  

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

This page provides a brief overview of geothermal energy resources and technologies supplemented by specific information to apply geothermal systems within the Federal sector.

254

Resources | Department of Energy  

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

Learned: Peer Exchange Calls Cost-Effectiveness Tool (Beta Version) Home Energy Advisor Publications Additional Resources DOE Residential Programs Home Energy Pros Online...

255

Environmental Resource Management  

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

Environmental Resource Management This division delivers science-based engineering solutions to meet regional and national energy, water and other critical environmental...

256

INL Research Library Resources  

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

and licensed subscriptions to provide the scientific and technical resources needed by INL researchers. Because of license restrictions, many of our subscriptions cannot be...

257

Chapter 13 Cultural Resources  

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

proposed routes for the action alternatives and the extensive area covered by the APE, BPA developed a predictive analysis to assess the potential for cultural resources along...

258

Resources | Jefferson Lab  

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

Resources Machine Control Center Display Jefferson Lab's accelerator is operated from the Machine Control Center. The MCC features a full-wall display that allows operators to...

259
260

LANSCE | Lujan Center | Resources  

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

User Resources The links below describe equipment, laboratories, capabilities, and sample environments that are available to users. Users must plan ahead and specify their needs...

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.


261

Manhattan Project: Resources  

Office of Scientific and Technical Information (OSTI)

web site, a number of additional resources are also provided: Reference Materials Maps Photo Gallery To Learn More Library Suggested Readings Background on this Site About this...

262

ARM - Other Science Resources  

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

SitesOther Science Resources Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About...

263

Central American resource studies  

SciTech Connect

Los Alamos National Laboratory has been working with five Central American countries to assist in the development of their energy and mineral resources. Since 1985, mineral resources in Costa Rica, peat resources in Costa Rica and Panama, geothermal energy resources in Honduras and Guatemala, and geothermal field development in El Salvador and Costa Rica have been topics of study. This paper presents an overview of this work -- within these proceedings are papers that deal with specific aspects of each topic, and these will be duly noted. 15 refs., 4 figs.

Van Eeckhout, E.; Laughlin, A.W.

1989-01-01T23:59:59.000Z

264

NETL: Natural Gas Resources  

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

Resources Significant volumes of natural gas can also be produced from tight (low permeability) sandstone reservoirs and coal seams, both unconventional reservoir rocks. NETL...

265

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.

266

Physics Resources for Teachers  

E-Print Network (OSTI)

Physics Resources for Teachers University of Wisconsin ­ Madison Department of Physics 1150 University Ave. Madison, WI 53706 wonders@physics.wisc.edu (608) 262-2927 Plasma Physics Web Resources Center Plasma Physics Lab http://science-education.pppl.gov/ Coalition for Plasma Science http

Collar, Juan I.

267

STUDENT EMPLOYMENT HUMAN RESOURCES  

E-Print Network (OSTI)

STUDENT EMPLOYMENT HUMAN RESOURCES GUIDELINE Human Resources | One Washington Square | San José, CA 95192-0046 | 408-924-2250 408-924-2284 (fax) SUBJECT: STUDENT EMPLOYMENT DATE: March 2007 I. PURPOSE / DESCRIPTION Student employees are defined as matriculated students that work part-time in any

Gleixner, Stacy

268

Operating System Resource Management  

E-Print Network (OSTI)

Operating System Resource Management Date: Monday, September 27, 2010 Time: 2:00 ­ 3:00 pm Location allocation and de-allocation by an operating system of processor cores, memory pages, and various types constrained. This talk will propose a scheme for addressing the operating system resource management problem

269

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

270

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

271

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

272

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

SciTech Connect

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

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

1994-02-01T23:59:59.000Z

273

Division of Human Resources Human Resources / Attendance and Leave Philosophy  

E-Print Network (OSTI)

Division of Human Resources PHILOSOPHY Human Resources / Attendance and Leave Philosophy Form Leave Act (FMLA). USF augments these provisions with local processes and philosophies and, in some cases

Meyers, Steven D.

274

National Geothermal Resource Assessment and Classification |...  

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

Geothermal Resource Assessment and Classification National Geothermal Resource Assessment and Classification National Geothermal Resource Assessment and Classification presentation...

275

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

276

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

277

Resource Program (pbl/main)  

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

RegDialogue Implementation Regional Dialogue (Post-2006) Subscription Contracts IOUPublic Settlement Slice of the System Billing Procedures Resource Program Firstgov BPA Resource...

278

Developer Resources | Department of Energy  

Office of Environmental Management (EM)

Developer Resources Developer Resources Apps for Energy Apps for Energy The Energy Department is challenging developers to use the Green Button data access program to bring...

279

Sandia National Laboratories: Wind Resources  

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

EnergyWind Resources Wind Resources Comments are closed. Renewable Energy Wind Energy Wind Plant Optimization Test Site Operations & Maintenance Safety: Test Facilities Capital...

280

Wind Career Map: Resource List  

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

The following resources were used in the development of the Wind Career Map, associated job profile information, or are potential resources for interested Wind Career Map viewers.

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

Information Resources | Department of Energy  

Energy Savers (EERE)

Information Resources Information Resources Learn about hydrogen and fuel cells, find publications and technical information, view and download multimedia, read presentation...

282

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

283

TEMPORARY SUPPORT HUMAN RESOURCES  

E-Print Network (OSTI)

TEMPORARY SUPPORT HUMAN RESOURCES GUIDELINE Workforce Planning | One Washington Square | San José of the Request for Temporary Support, Workforce Planning will make a determination of the type of temporary

Su, Xiao

284

Resource Adequacy INTRODUCTION  

E-Print Network (OSTI)

whether there are sufficient non-hydro resources available to meet loads when the "fuel" for hydroelectric the amount of water for hydroelectric generation) and temperature (which affects the demand for electricity

285

Human Resource Management Delegation  

Directives, Delegations, and Requirements

The notice is to clarifies and updates existing Human Resource Management Delegation Authorities and the levels to which they are delegated. Expired 6-28-97. Does not cancel any directives.

1996-06-28T23:59:59.000Z

286

Human Resources & Rebecca Leinen  

E-Print Network (OSTI)

Human Resources & Training Rebecca Leinen SafetyInformation Systems Chris Smeds Work Management Mark Webb Energy & Utilities Cheryl Gomez Operations & Maintenance Cheryl Gomez, interim Systems Services Delta Force Recycling Sustainability Outreach Office for Sustainability Utility Systems Power

Acton, Scott

287

Wind Resource Maps (Postcard)  

SciTech Connect

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

288

Resource handbook on transportation risk assessment.  

SciTech Connect

This resource handbook contains useful information to streamline radioactive material transportation risk assessments for National Environmental Policy Act (NEPA) documents prepared for U.S. Department of Energy (DOE) programs. Streamlining refers to instituting steps that can increase the efficiency of future assessments, reduce costs, and promote increased quality and consistency across the DOE complex. This handbook takes advantage of the wealth of information developed through decades of DOE's NEPA experience. It contains a review of historical assessments; a description of comprehensive and generally acceptable transportation risk assessment methodology (i.e., models); and a compilation of supporting data, parameters, and generally accepted assumptions. This handbook also includes a discussion paper that addresses cumulative impacts (Appendix A). The discussion paper illustrates the evolving and sometimes unresolved issues encountered in transportation risk assessment. Other topics, such as sabotage, environmental justice, and human factors, may be addressed in the future. This resource document was developed as the first primary reference book providing useful information for conducting transportation risk assessments for radioactive material in the NEPA context.

Chen, S. Y.; Biwer, B. M.; Monette, F. A.; Environmental Assessment; SNL; BAPL; USOE; Battelle Memorial Inst.

2003-01-01T23:59:59.000Z

289

Kelly Scientific Resources Kelly Scientific Resources yy BIOTECHNOLOGY DRUG &  

E-Print Network (OSTI)

Kelly Scientific Resources Kelly Scientific Resources yy BIOTECHNOLOGY DRUG & PHARMACEUTICAL · What Kelly Scientific Resources or staffing agencies are and how they work?they work? · How to work Role: ­ Northern California Recruiting and Business efforts for Kelly Scientific Resources ­ Promote

Puglisi, Joseph

290

Natural Resource Management Plan Update  

E-Print Network (OSTI)

Natural Resource Management Plan Update Tim Green Environmental Protection Division Community. Cultural Resources) · Focus on gaining better understanding of site resources · Began or continued managing · Monitoring layers · Cultural Resources ­ WW I, WW II, CCC GIS used for planning ­ NSLS II, LISF, Permits, etc

Homes, Christopher C.

291

The Resources Agency of California  

E-Print Network (OSTI)

· Department of Forestry & Fire Protection · Department of Parks & Recreation · Department of Water Resources

292

Energy Resources for Tornado Season  

Office of Energy Efficiency and Renewable Energy (EERE)

Learn about the Office of Energy Efficiency and Renewable Energy's resources for post-tornado recovery.

293

Energy Resources for Hurricane Season  

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

Learn about the Office of Energy Efficiency and Renewable Energy's resources for post-hurricane recovery.

294

Raw materials resources  

Science Journals Connector (OSTI)

Mineral resources continue to play an essential role in the world economy: industrial economies depend on the availability of sources of energy and metals; the wealth of some countries is liable to fluctuate in response to variations over time in the price of the resources extracted. Predictions made early in the 1970s of exhaustion of resources of important minerals, e.g. lead and zinc, have proved to be mistaken, and from the viewpoint of the late-1980s it seems likely that total world consumption of mineral resources will continue to rise. A continuation is expected of the trend for an increased proportion of ores being converted into end-products in the country of extraction. In the highly industrialized countries the importance of mineral resources will tend to decrease relative to total manufactured goods and services, and the demand for imported minerals will decrease as other minerals are substituted and more metals are recycled. Developing countries which export raw minerals will be adversely affected because the prices of the minerals that they sell will rise more slowly than the prices for manufactured goods that they import.

Martin Kursten; Georg Bluemel; Lothar Lahner; Helmut Schmidt

1990-01-01T23:59:59.000Z

295

Water Resources Center Annual Technical Report  

E-Print Network (OSTI)

research effort is resource development. As market prices for natural resources (gold, oil, lumber, other

296

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

297

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

298

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

299

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

300

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

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.


301

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.

302

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

303

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

304

Arkansas Water Resources Center  

E-Print Network (OSTI)

Keywords --Algal Assay/Nutrients/Heavy Metals/Toxicity #12;TABLE OF CONTENTS Page Abstract. i ListArkansas Water Resources Center ALGAL GROWTH POTENTIALS AND HEAVY METAL CONCENTRATIONS) demonstrated the probable inhibition of algal growth potential by heavy metals in upper Beaver Lake. Upper

Soerens, Thomas

305

Engineering and Mineral Resources  

E-Print Network (OSTI)

News ????????????????? ® College of Engineering and Mineral Resources Winter 2008 table of contents. . . . . . . . . . . . . . . . . . . . 7 wvCROSSROADS DepartmentofCivilandEnvironmentalEngineering Civil engineering exchange program and environmental engineering with a focus in transportation will have the opportunity to study abroad as part

Mohaghegh, Shahab

306

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

307

Poster Resources Poster Planning  

E-Print Network (OSTI)

Poster Resources Poster Planning � Discovery Day: Tips for Successful Posters by University of South Carolina Office of Undergraduate Research � Creating Effective Poster Presentations by George Hess, Kathryn Tosney, Leon Liegel http://www.ncsu.edu/project/posters/NewSite/index.html � How to Write

Almor, Amit

308

Semantic resource framework  

Science Journals Connector (OSTI)

The Semantic Resource Framework (SRF) is a multi-level description of the data sources for search computing applications. It responds to the need of having a structured representation of search services, amenable to service exploration, selection, and ... Keywords: ontology, search services, semantic annotation, service description, service repository

Marco Brambilla; Alessandro Campi; Stefano Ceri; Silvia Quarteroni

2011-01-01T23:59:59.000Z

309

LIBRARY RESOURCES FOR FACULTY  

E-Print Network (OSTI)

LIBRARY RESOURCES FOR FACULTY #12;Meet Us Pictured here are just a few of the people at the University of Toronto Libraries who support teaching, learning and research every day. Come in and say hello, Information Technology Services and OCUL Scholars Portal staff, Library Instruction, Information Commons Help

310

Water Resources Policy & Economics  

E-Print Network (OSTI)

Water Resources Policy & Economics FOR 4984 Selected Course Topics · Appropriative and riparian water institutions · Incentives for conservation · Water rights for in-stream environmental use · Surface water-groundwater management · Water quality regulations · Water markets · Economic and policy

Buehrer, R. Michael

311

Geothermal resources of Montana  

SciTech Connect

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

312

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

313

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

314

Rangeland Resource Management for Texans: Total Resource Management  

E-Print Network (OSTI)

The Total Resource Management approach helps ranchers make strategic, tactical and operational decisions for the best, most cost-effective use of resources. This publication offers step-by-step directions for implementing TRM for a profitable...

Hanselka, C. Wayne; Fox, William E.; White, Larry D.

2004-03-26T23:59:59.000Z

315

Resource Cost Results for Entanglement Distillation and State Merging under Source Uncertainties  

E-Print Network (OSTI)

We introduce one-way LOCC protocols for quantum state merging for compound sources, which have asymptotically optimal entanglement as well as classical communication resource costs. For the arbitrarily varying quantum source (AVQS) model, we determine the one-way entanglement distillation capacity, where we utilize the robustification and elimination techniques, well-known from classical as well as quantum channel coding under assumption of arbitrarily varying noise. Investigating quantum state merging for AVQS, we demonstrate by example, that the usual robustification procedure leads to suboptimal resource costs in this case.

Holger Boche; Gisbert Janen

2014-04-28T23:59:59.000Z

316

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

SciTech Connect

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

317

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

SciTech Connect

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

318

Nuclear power fleets and uranium resources recovered from phosphates  

SciTech Connect

Current light water reactors (LWR) burn fissile uranium, whereas some future reactors, as Sodium fast reactors (SFR) will be capable of recycling their own plutonium and already-extracted depleted uranium. This makes them a feasible solution for the sustainable development of nuclear energy. Nonetheless, a sufficient quantity of plutonium is needed to start up an SFR, with the plutonium already being produced in light water reactors. The availability of natural uranium therefore has a direct impact on the capacity of the reactors (both LWR and SFR) that we can build. It is therefore important to have an accurate estimate of the available uranium resources in order to plan for the world's future nuclear reactor fleet. This paper discusses the correspondence between the resources (uranium and plutonium) and the nuclear power demand. Sodium fast reactors will be built in line with the availability of plutonium, including fast breeders when necessary. Different assumptions on the global uranium resources are taken into consideration. The largely quoted estimate of 22 Mt of uranium recovered for phosphate rocks can be seriously downscaled. Based on our current knowledge of phosphate resources, 4 Mt of recoverable uranium already seems to be an upper bound value. The impact of the downscaled estimate on the deployment of a nuclear fleet is assessed accordingly. (authors)

Gabriel, S.; Baschwitz, A.; Mathonniere, G. [CEA, DEN/DANS/I-tese, F-91191 Gif-sur-Yvette (France)

2013-07-01T23:59:59.000Z

319

WATER RESOURCES NEWS NEBRASKA WATER RESOURCES RESEARCH INSTITUTE  

E-Print Network (OSTI)

WATER RESOURCES NEWS NEBRASKA WATER RESOURCES RESEARCH INSTITUTE 212 AGRICULTURAL ENGINEERING OF THE DIRECTOR . . . April 1973 NEBRASKA AND THE NATIONAL WATER COMMISSION REPORT The National Water Commission grew out of con t r-ovc rey over water resource deve lopment in the Colorado River Basin. Rp

Nebraska-Lincoln, University of

320

Colorado Statewide Forest Resource Assessment  

E-Print Network (OSTI)

Colorado Statewide Forest Resource Assessment A Foundation for Strategic Discussion and Implementation of Forest Management in Colorado #12;Acknowledgements The Colorado State Forest Service (CSFS, for providing leadership and oversight throughout the development of Colorado's Statewide Forest Resource

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

PDSF I/O Resources  

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

IO Resources IO Resources Motivation Many users must run jobs that read datasets that are too large to transfer to the scratch directory. When large numbers of these jobs run...

322

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

323

Resource portfolio management: bundling process  

E-Print Network (OSTI)

Managers within firms seek to align their portfolio of capabilities to best respond to their competitive environment. Processes used by firms to acquire resources, bundle those resources into capabilities, and then leverage those capabilities...

Worthington, William John

2009-05-15T23:59:59.000Z

324

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

325

Corrections for Water Resources Engineering  

E-Print Network (OSTI)

Corrections for Water Resources Engineering (Fourth printing) By Larry W. Mays Corrections as of 4 subcritical flow ..." Chapter

Mays, Larry W.

326

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

327

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

328

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.

329

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?

330

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

331

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

332

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?

333

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

334

Solar Energy Resource Center | Department of Energy  

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

Energy Resource Center Solar Energy Resource Center The SunShot Initiative's Solar Energy Resource Center contains work developed by DOE, national laboratories and SunShot...

335

Harvesting a renewable resource under uncertainty  

E-Print Network (OSTI)

is pervasive for renewable resources, and it can play aConsider a valuable renewable resource whose biomass X2003. Harvesting a renewable resource under uncertainty,

Saphores, Jean-Daniel M

2003-01-01T23:59:59.000Z

336

Community Energy Strategic Planning Resources | Department of...  

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

Resources Community Energy Strategic Planning Resources Presentation for the Community Energy Stategic Planning Resources webinar, presented on January 24, 2013 as part of the U.S....

337

Congressional Affairs Resources | Department of Energy  

Office of Environmental Management (EM)

Resources Congressional Resources United States Senate Senate Energy and Natural Resources Committee Senate Committee on Environment and Public Works Senate Appropriations...

338

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:...

339

PIA - Human Resources Information System (HRIS) | Department...  

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

Information System (HRIS) PIA - Human Resources Information System (HRIS) PIA - Human Resources Information System (HRIS) PIA - Human Resources Information System (HRIS) More...

340

Office of Information Resources | Department of Energy  

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

Office of Information Resources Office of Information Resources FOIAPA POC List as of February 02, 2009 Office of Information Resources More Documents & Publications Privacy Act...

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

PIA - Human Resources Management Information System (HRMIS) ...  

Energy Savers (EERE)

Information System (HRMIS) PIA - Human Resources Management Information System (HRMIS) PIA - Human Resources Management Information System (HRMIS) PIA - Human Resources Management...

342

Integrated Safety Management Safety Culture Resources | Department...  

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

Safety Culture Resources Integrated Safety Management Safety Culture Resources A collection of resources available in implementing ISM safety culture activities Safety from the...

343

Avian Conservation Resources | Open Energy Information  

Open Energy Info (EERE)

Conservation Resources Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: Avian Conservation ResourcesLegal Abstract Resources and...

344

Resources on Greenhouse Gas | Department of Energy  

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

Greenhouse Gases Resources on Greenhouse Gas Resources on Greenhouse Gas Many helpful resources about greenhouse gases (GHG) are available. Also see Contacts. GHG Reporting and...

345

WINDExchange: Wind Energy Regional Resource Centers  

Wind Powering America (EERE)

Bookmark and Share Regional Resource Centers About Economic Development Siting Wind Energy Regional Resource Centers The U.S. Department of Energy's Regional Resource Centers...

346

Solar Energy Resource Center | Department of Energy  

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

Energy Resource Center Solar Energy Resource Center Sub Program Topic Resource Search Results Title Date Author SubProgram Topic Description...

347

Solar Energy Resource Center | Department of Energy  

Office of Environmental Management (EM)

Solar Energy Resource Center Solar Energy Resource Center Sub Program Topic Resource Search Results Title Date Author SubProgram Topic Description...

348

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...

349

CHERRY: CHECKPOINTED EARLY RESOURCE RECYCLING  

E-Print Network (OSTI)

1 2 3 CHERRY: CHECKPOINTED EARLY RESOURCE RECYCLING Jos´e F. Mart´inez1 , Jose Renau2 Michael C. Huang3 , Milos Prvulovic2 , and Josep Torrellas2 #12;Cherry: Checkpointed Early Resource Recycling efficient use by aggressive recycling Opportunity: Resources reserved until retirement § ¦ ¤ ¥ Solution

Torrellas, Josep

350

Water Resources Working Group Report  

E-Print Network (OSTI)

Water Resources Working Group Report This report provided content for the Wisconsin Initiative in February 2011. #12;Water Resources Working Group Wisconsin Initiative on Climate Change Impacts October 2010 #12;Water Resources Working Group Members ­ WICCI Tim Asplund (Co-Chair) - Wisconsin Department

Sheridan, Jennifer

351

Water Resources Competitive Grants Program  

E-Print Network (OSTI)

Water Resources Competitive Grants Program Fiscal Year 2012 Request for Proposals Pursuant to Section 104 of the Water Resources Research Act of 1984, as Amended Closing Date 4:00 PM, Eastern Time, August 15, 2012 (Institutes) Institute for Water Resources National Institutes for U.S. Army Corps

Virginia Tech

352

4 - Coal resources and reserves  

Science Journals Connector (OSTI)

Abstract: Coal resources still make up a significant proportion of the worlds energy supplies. Coal resources are estimated to be 860 billion tonnes. These resources are geographically well distributed and current production provides fuel for 29% of the worlds primary energy consumption. The classification of coal resources and reserves has been redefined in recent years, with the standards and codes of practice adopted by the principal coal-producing countries being equated on a global basis. Details of the principal classifications are given, together with their international equivalents. Reporting of resources and reserves plus methods of calculation are also given, together with recent assessments of global coal reserves.

L.P. Thomas

2013-01-01T23:59:59.000Z

353

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

354

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

355

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

356

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.

357

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

358

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

359

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.

360

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,

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

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.

362

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

363

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

364

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

365

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

366

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

367

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,...

368

2010 Resource Program Executive Summary  

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

increase transmission flexibility * Directly involve electricity users through demand response programs BPA is actively pursuing all these areas. The Resource Program analysis...

369

Educational Resources | Department of Energy  

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

challenges, opportunities and necessity of Smart Grid implementation. Congressional Testimony Recovery Act Educational Resources Electricity 101 Interactive Grid Smart Grid Primer...

370

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...

371

Agricultural and Resource Economics Update  

E-Print Network (OSTI)

estimates of announced State Water Project (SWP) and CentralDepartment of Water Resources (DWR) and United States Bureautional water restrictions. Using data from state agencies,

2011-01-01T23:59:59.000Z

372

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...

373

Landfill Gas Resources and Technologies  

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

This page provides a brief overview of landfill gas energy resources and technologies supplemented by specific information to apply landfill gas energy within the Federal sector.

374

Wind Energy Resources and Technologies  

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

This page provides a brief overview of wind energy resources and technologies supplemented by specific information to apply wind energy within the Federal sector.

375

Comparing Resource Adequacy Metrics: Preprint  

SciTech Connect

As the penetration of variable generation (wind and solar) increases around the world, there is an accompanying growing interest and importance in accurately assessing the contribution that these resources can make toward planning reserve. This contribution, also known as the capacity credit or capacity value of the resource, is best quantified by using a probabilistic measure of overall resource adequacy. In recognizing the variable nature of these renewable resources, there has been interest in exploring the use of reliability metrics other than loss of load expectation. In this paper, we undertake some comparisons using data from the Western Electricity Coordinating Council in the western United States.

Ibanez, E.; Milligan, M.

2014-09-01T23:59:59.000Z

376

Resource Directory | Department of Energy  

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

in K-12 Schools Energy Efficiency in Affordable Housing Tools and Calculators For Homes Air Seal and Insulate with ENERGY STAR Information, tools, and resource to help consumers...

377

News from Online: Renewable Resources  

Science Journals Connector (OSTI)

News from Online: Renewable Resources ... This paper discusses a chemistry lesson plan based on the use of ethanol as an alternative and renewable energy source. ...

Erich S. Uffelman

2007-02-01T23:59:59.000Z

378

Community Energy Stategic Planning Resources  

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

Community Energy Strategic Planning Resources Technical Assistance Program January 24 th , 2013 2 Agenda 1. Welcome & overview 2. What is a community energy strategic plan and why...

379

WINDExchange: About Regional Resource Centers  

Wind Powering America (EERE)

Development Siting About Regional Resource Centers Significant expansion of wind energy deployment will be required to achieve the President's goal of doubling renewable...

380

Declarative Automated Cloud Resource Orchestration  

E-Print Network (OSTI)

orchestration · Cloud resource orchestration constraint optimization problems 4 Provider operational] · Orchestration procedures Transactions · Either commit or abort Distributed communication and optimization

Plotkin, Joshua B.

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

Biomass Energy Resources and Technologies  

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

This page provides a brief overview of biomass energy resources and technologies supplemented by specific information to apply biomass within the Federal sector.

382

Selected Blog Sites Related to Water Resources and Environmental Resources  

E-Print Network (OSTI)

Selected Blog Sites Related to Water Resources and Environmental Resources Water News: Circle of Michael Campana, water scientist - http://aquadoc.typepad.com/waterwired/ Integrated Water Management.g., `water') Environmental Appeals Court - http://environmentalappealscourt.blogspot.com/ Reviewed by: Waste

James, L. Allan

383

WATER RESOURCES NEWS NEBRASKA WATER RESOURCES RESEARCH INSTITUTE  

E-Print Network (OSTI)

WATER RESOURCES NEWS NEBRASKA WATER RESOURCES RESEARCH INSTITUTE 212 AGRICULTURAL ENGINEERING . . . July 1973 The final report of the National Water Commission entitled Water Policies for the Future has been issued. Because its con- cluslons -a-rid -re-commend-atlOnsmay have far-reaching effects on water

Nebraska-Lincoln, University of

384

Title: Ontario Wind Resources Information Ontario Ministry of Natural Resources  

E-Print Network (OSTI)

information (monthly, yearly, extreme months and inter ­ annually) and wind rose information. All dataTitle: Ontario Wind Resources Information Data Creator / Copyright Owner: Ontario Ministry as an input to the Wind Resource Atlas, a web mapping application for helping users determine the feasibility

385

Indicators for resources and resource-efficiency: a Danish perspective  

Science Journals Connector (OSTI)

The specific material flows and use of energy and land, which cause severe environmental and health problems in Denmark, are delimited by a risk assessment. Resource-efficiency is defined in terms of material flows and is estimated to be 0.07 without unused flows and 0.04 with unused flows for Denmark, 1990. It is shown that the path to both a global sustainable environment and welfare goes through increasing resource-efficiency, increasing lifetime of products, detoxification, dematerialisation of welfare and increasing quality and quantity of ecosystems. An indicator system for Denmark consisting of a pyramid structured by formal indicators is proposed. At the top of the indicator pyramid are indicators for aggregated material and energy flows, almost unaffected nature and the flows of dangerous substances. The formal indicators represent flows of resources and emissions, resources and emissions related to ecological space, economic turnover and number of inhabitants as well as resource efficiency, lifetime of materials and material welfare.

Karsten Krogh Andersen

2003-01-01T23:59:59.000Z

386

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

E-Print Network (OSTI)

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

Bahrami, Majid

387

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

SciTech Connect

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

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

1992-11-01T23:59:59.000Z

388

Hybrid Cloud resource provisioning policy in the presence of resource failures .  

E-Print Network (OSTI)

??Resource provisioning is an important and challenging problem in distributed systems. Resource management issues such as Quality of Service (QoS) further exacerbate the resource provisioning (more)

JAVADI, BAHMAN

2012-01-01T23:59:59.000Z

389

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

390

RECRUITMENT SEARCH FIRMS HUMAN RESOURCES  

E-Print Network (OSTI)

RECRUITMENT SEARCH FIRMS HUMAN RESOURCES GUIDELINES Workforce Planning | Washington Square, San by the Workforce Planning Unit in Human Resources at SJSU. Process Consistent, defensible processes for evaluating of the recruitment. - At this meeting, the Workforce Planning analyst can provide contact information for search

Su, Xiao

391

Putting space resources to work  

SciTech Connect

Resource development in remote places on Earth has depended on government attitudes toward regional development, transport and local production costs, economic accessibility of external markets, and the availability of local markets. The initial stages of space resource development may well depend on a government-funded lunar science/engineering base for initial markets. 10 refs.

Jones, E.M.

1988-01-01T23:59:59.000Z

392

Assessment of Demand Response Resource  

E-Print Network (OSTI)

Assessment of Demand Response Resource Potentials for PGE and Pacific Power Prepared for: Portland January 15, 2004 K:\\Projects\\2003-53 (PGE,PC) Assess Demand Response\\Report\\Revised Report_011504.doc #12;#12;quantec Assessment of Demand Response Resource Potentials for I-1 PGE and Pacific Power I. Introduction

393

UO Policy Library Resource for  

E-Print Network (OSTI)

UO Policy Library Resource for Policy Owners To ensure University- wide consistency in the formulation, review, approval, and implementation of policies, the Policy Library has provided a resource section for policy owners. It helps answer questions such as: Is this a policy or procedure? What

Oregon, University of

394

Resources Abstracts Input Transaction Form  

E-Print Network (OSTI)

#12;Resources Abstracts Input Transaction Form 4. Title 5. Report Date 6.Urban Aquaculture Covered The University of the District of Columbia 12. Sponsoring Organization Water Resources Research of the rainbow trout (Salmo gairdneri) in a closed recycling water system in an urban environment is described

District of Columbia, University of the

395

Operating System Resource Burton Smith  

E-Print Network (OSTI)

Operating System Resource Management Burton Smith Technical Fellow Microsoft Corporation #12;Background · Resource Management (RM) is a primary operating system responsibility ­ It lets competing applications share a system · Client RM in particular faces new challenges ­ Increasing numbers of cores

396

California Energy Resources Conservation and  

E-Print Network (OSTI)

to retrofit state buildings to make them more energy efficient and to provide job skills training for workersCalifornia Energy Resources Conservation and Development Commission It Is Not Fully Prepared Audits (bureau) concerning the preparedness of the California Energy Resources Conservation

397

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

398

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

399

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)

400

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

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

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

402

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

403

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

SciTech Connect

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

404

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

SciTech Connect

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

405

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.

406

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

407

Unconventional Energy Resources: 2011 Review  

SciTech Connect

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

408

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

SciTech Connect

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

409

Contributions of Renewable Energy Resources to Re-source Diversity  

E-Print Network (OSTI)

of sources such as wind, solar, photovoltaic, biofuels, geo- thermal and hydro for energy supply analysis, economics and operations, utility regulatory policy, renewable resource integration and industry, Berkeley. Dr. Gross has consulted on electricity issues with utilities, government organizations

Gross, George

410

Coal resource assessments: Calculating resources by GIS at the USGS  

SciTech Connect

Recent projections as to the future of coal are, for the most part, in general agreement that the production will continue to increase at approximately the current rate for the next 16 to 21 years. A very different view of the future resulted from recent analyses done by the EIA for the US House of Representatives Committee on Science. In these analyses the impacts of the Kyoto Protocol on US energy markets were modeled using six scenarios that reduced the carbon emission to varying levels below the reference case (carbon emissions in the reference case are 33% above the 1990 levels in 2020) The six scenarios resulted in projections that coal consumption in the US in 2010 would be reduced by between 18 and 77% with further significant decreases by 2020. This paper discusses national coal resource assessments by the USGS; coal resource data handling and analyses by GIS; coal assessments from resources to reserves; and coal resource information delivery.

Gluskoter, H.; Tewalt, S.J.; Levine, M.

1999-07-01T23:59:59.000Z

411

Testimony Before the House Natural Resources Subcommittee on...  

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

Natural Resources Subcommittee on Energy and Mineral Resources Subject: Onshore and Offshore Resources By: Howard Gruenspecht, Acting Administrator, Energy Information...

412

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.

413

Water Resources Research Institute Annual Technical Report  

E-Print Network (OSTI)

Water Resources Research Institute Annual Technical Report FY 2001 Introduction WATER PROBLEMS Rivers are major generators of electrical power and support a rapidly growing population and economy. Water resource management activities such as water rights adjudication, groundwater resources assessment

414

Integration of Renewable Resources November 2007  

E-Print Network (OSTI)

Integration of Renewable Resources November 2007 Transmission and operating issues and recommendations for integrating renewable resources on the California ISO-controlled Grid California Independent System Operator #12;CAISO Integration of Renewable Resources Members of the Renewables Workgroup

415

Water Resources Research Center Annual Technical Report  

E-Print Network (OSTI)

resources management, hydrology, economics, culture, externalities Watershed planning and managementWater Resources Research Center Annual Technical Report FY 2006 #12;Introduction The University of Hawaii Water Resources Research Center, in the FY2006 reporting period, initiated three new projects

416

Scheduling & Resources - Power Marketing - Sierra Nevada Region...  

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

Marketing > Scheduling & Resources Scheduling & Resources - Greenbook 2004 (PDF - 1.04MB) - CVP Gross Power (XLS - 5.25MB) - CVP BaseResource (XLS - 2.02MB) - WY2002 Analysis (XLS...

417

ANALYSIS OF THE CALIFORNIA SOLAR RESOURCE  

E-Print Network (OSTI)

SECTION ANALYSIS OF THE CALIFORNIA SOLAR RESOURCE' Volume 1:Analysis of the California Solar Resource is a three-volumeUC-62 ANALYSIS OF THE CALIFORNIA SOLAR RESOURCE VOLUME 1:

Berdahl, P.

2011-01-01T23:59:59.000Z

418

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

419

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

420

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

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

Airline alliances: Mobilizing network resources  

Science Journals Connector (OSTI)

Abstract Airline alliances represent examples of resource utilization across a network. This paper examines the need to distinguish between access to and mobilization of the resources held by allies. An ordinary least squares regression was applied to a sample from the Top International Airlines database. Our findings show that mobilization of the destinations of the partner companies through codeshare alliances has a positive and significant influence on the performance of airlines. Moreover, they suggest that the development of network resources mobilizing capability in increasingly dynamic and global environments will only generate an important source of competitive advantage when acted upon.

Cristbal Casanueva; ngeles Gallego; Ignacio Castro; Mara Sancho

2014-01-01T23:59:59.000Z

422

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

423

Hanford Natural Resource Trustee Council History & Accomplishments...  

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

Natural Resource Trustee Council > HNRTC History & Accomplishments About Us Hanford Natural Resource Trustee Council HNRTC Members HNRTC History & Accomplishments Memorandum of...

424

Containment Unidirectional Resource Loading System (CURLS) |...  

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

glovebox resource changes, while maintaining containment Can be mounted in existing glove ports, offering an array of fail-safe cartridges for all resource needs curlsfactsheet...

425

Water Power Information Resources | Department of Energy  

Energy Savers (EERE)

Information Resources Water Power Information Resources How Hydropower Works How Hydropower Works See a detailed view of the inside of a hydropower energy generation system. Read...

426

Marine and Hydrokinetic Resource Assessment and Characterization...  

Energy Savers (EERE)

Characterization Marine and Hydrokinetic Resource Assessment and Characterization The Water Power Program has released reports and maps that assess the resource potential of the...

427

National Geothermal Resource Assessment and Classification |...  

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

Resource Assessment and Classification National Geothermal Resource Assessment and Classification This work will enable lower riskcost deployment of conventional and EGS...

428

Sustainable Energy Resources for Consumers (SERC) -Geothermal...  

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

Sustainable Energy Resources for Consumers (SERC) - GeothermalGround-Source Heat Pumps Sustainable Energy Resources for Consumers (SERC) - GeothermalGround-Source Heat Pumps...

429

Renewable Resource Grant and Loan Program (Montana)  

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

The renewable resource grant and loan program is administered by the Department of Natural Resources and Conservation. Historically the program primarily has funded water projects, but it does...

430

NREL: International Activities - Biomass Resource Assessment  

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

Biomass Resource Assessment Map showing annual productivity of marginal lands in APEC economies. Biomass resource assessments quantify the existing or potential biomass material in...

431

Assessing Energy Resources Webinar Text Version | Department...  

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

Text Version Assessing Energy Resources Webinar Text Version Download the text version of the audio from the DOE Office of Indian Energy webinar on assessing energy resources. DOE...

432

State Historical Resources Commission | Open Energy Information  

Open Energy Info (EERE)

Historical Resources Commission Jump to: navigation, search Name: State Historical Resources Commission Address: 1725 23rd Street, Suite 100 Place: Sacramento, CA Zip: 95816...

433

Laws & Legal Resources | Department of Energy  

Energy Savers (EERE)

Laws & Legal Resources Laws & Legal Resources Library Books | Credit: GC Photographer Daniel Zazueta Library Books | Credit: GC Photographer Daniel Zazueta Looking for... Online...

434

NREL: Geothermal Technologies - Data and Resources  

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

for geothermal researchers and others interested in the viability and development of geothermal energy. Resource Maps NREL develops resource and characterization maps to help...

435

WINDExchange: Wind Economic Development Resources and Tools  

Wind Powering America (EERE)

page lists wind-related economic development resources and tools such as publications, Web resources, and news. Search the WINDExchange Database Choose a Type of Information All...

436

Web Resources | Photosynthetic Antenna Research Center  

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

Web Resources Web Resources Useful Links American Society of Plant Biologists Arizona State University Center for Bioenergy & Photosynthesis Center for Advanced Biofuel Systems...

437

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

438

Geothermal Energy Production from Low Temperature Resources,...  

Open Energy Info (EERE)

Geothermal Energy Production from Low Temperature Resources, Coproduced Fluids from Oil and Gas Wells, and Geopressured Resources Jump to: navigation, search Geothermal ARRA Funded...

439

Distributed Energy Resources for Carbon Emissions Mitigation  

E-Print Network (OSTI)

Energy Resources for Carbon Emissions Mitigation RyanEnergy Resources for Carbon Emissions Mitigation Ryanand/or site-attributable carbon emissions at commercial and

Firestone, Ryan; Marnay, Chris

2008-01-01T23:59:59.000Z

440

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.

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

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.

442

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:

443

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.

444

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

445

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

446

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,

447

Director Human Resources Assoc Director  

E-Print Network (OSTI)

Director ­ Human Resources Assoc Director Workforce Planning & Organisational Change Director) - Organisational change - Workforce planning - Grievance & performance mgt support - Performance management line and not a formal Branch ** Includes Classifications ANU Search Workforce Planning* Remunerations

Botea, Adi

448

Corrections for Water Resources Engineering  

E-Print Network (OSTI)

Corrections for Water Resources Engineering (Second printing) By Larry W. Mays Corrections as of 4, a supercritical flow ..." should read "Because yn subcritical flow ..." #12;Chapter 6 Page 141

Mays, Larry W.

449

Corrections for Water Resources Engineering  

E-Print Network (OSTI)

Corrections for Water Resources Engineering (Third printing) By Larry W. Mays Corrections as of 4, a subcritical flow ..." Chapter 6 Page 141 Section 6.1, sixth line, "slit" should be "silt" #12;Page 148 Fourth

Mays, Larry W.

450

Renewable Resources for Hydrogen (Presentation)  

SciTech Connect

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

451

HUMAN RESOURCES SIMON FRASER UNIVERSITY  

E-Print Network (OSTI)

. The position is responsible for developing test scenarios, responding to system problems by investigating regarding the design of testing scenarios and scripts and how to evaluate outcomes. Makes decisions1 HUMAN RESOURCES SIMON FRASER UNIVERSITY TEMPORARY ADMINISTRATIVE & PROFESSIONAL STAFF POSITION

452

Information Resources | Department of Energy  

Energy Savers (EERE)

(SSL) program has a large collection of resources designed to deliver current, relevant information about the status of SSL technology and applications. On this page you'll find...

453

WINDExchange: Education and School Resources  

Wind Powering America (EERE)

Search the WINDExchange Database Choose a Type of Information All News Publications Web Resource Videos Choose of Records per Page Default (10 per page) 5 25 50 To search...

454

Contractor Human Resource Management Programs  

Directives, Delegations, and Requirements

The purpose of this directive is to establish Department of Energy (DOE) responsibilities and requirements for the management and oversight of contractor Human Resource Management (HR) programs. Chg 1, 5-8-98; Chg 2, 11-22-09

1996-09-30T23:59:59.000Z

455

Contractor Human Resource Management Programs  

Directives, Delegations, and Requirements

The purpose of this directive is to establish Department of Energy (DOE) responsibilities and requirements for the management and oversight of contractor Human Resource Management (HR) programs. Chg 1, 5-8-98; Chg 2, 11-22-09.

1996-09-30T23:59:59.000Z

456

SUSTAINABILITY REPORTING NATURAL RESOURCES DEFENSE  

E-Print Network (OSTI)

SUSTAINABILITY REPORTING AND THE NATURAL RESOURCES DEFENSE COUNCIL AUGUST 2012 Capstone Team RELEVANCE/CONTEXT 4 HISTORY OF SUSTAINABILITY REPORTING 4 ORGANIZATIONAL PROFILE 7 METHODOLOGY 8 FINDINGS AND DISCUSSION 11 FINDINGS FROM INTERVIEWS 11 SUSTAINABILITY FRAMEWORK ASSESSMENT 12

Qian, Ning

457

Distributed energy resources at naval base ventura county building 1512  

SciTech Connect

This paper reports the findings of a preliminary assessment of the cost effectiveness of distributed energy resources at Naval Base Ventura County (NBVC) Building 1512. This study was conducted in response to the base's request for design assistance to the Federal Energy Management Program. Given the current tariff structure there are two main decisions facing NBVC: whether to install distributed energy resources (DER), or whether to continue the direct access energy supply contract. At the current effective rate, given assumptions about the performance and structure of building energy loads and available generating technology characteristics, the results of this study indicate that if the building installed a 600 kW DER system with absorption cooling and heat capabilities chosen by cost minimization, the energy cost savings would be about 14 percent, or $55,000 per year. However, under current conditions, this study also suggests that significant savings could be obtained if Building 1 512 changed from the direct access contract to a SCE TOU-8 (Southern California Edison time of use tariff number 8) rate without installing a DER system. At current SCE TOU-8 tariffs, the potential savings from installation of a DER system would be about 4 percent, or $15,000 per year.

Bailey, Owen C.; Marnay, Chris

2004-10-01T23:59:59.000Z

458

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

459

Alternative Fuels Data Center: Spanish Resources  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

About About Printable Version Share this resource Send a link to Alternative Fuels Data Center: Spanish Resources to someone by E-mail Share Alternative Fuels Data Center: Spanish Resources on Facebook Tweet about Alternative Fuels Data Center: Spanish Resources on Twitter Bookmark Alternative Fuels Data Center: Spanish Resources on Google Bookmark Alternative Fuels Data Center: Spanish Resources on Delicious Rank Alternative Fuels Data Center: Spanish Resources on Digg Find More places to share Alternative Fuels Data Center: Spanish Resources on AddThis.com... More in this section... Project Assistance News & Features Spanish Resources Contacts Spanish Resources Recursos en Espanol The following publications and tools offer information in Spanish on alternative fuels and advanced vehicle technologies. These resources are

460

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

SciTech Connect

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

NONE

1995-05-31T23:59:59.000Z

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

Energy Efficiency as a Preferred Resource: Evidence from Utility Resource  

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

Energy Efficiency as a Preferred Resource: Evidence from Utility Resource Energy Efficiency as a Preferred Resource: Evidence from Utility Resource Plans in the Western United States and Canada Title Energy Efficiency as a Preferred Resource: Evidence from Utility Resource Plans in the Western United States and Canada Publication Type Journal Article Refereed Designation Unknown Year of Publication 2008 Authors Hopper, Nicole C., Galen L. Barbose, Charles A. Goldman, and Jeff Schlegel Journal Energy Efficiency Journal Volume Volume 2, Number 1 Pagination 24 Date Published 09/2008 Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract This article examines the future role of energy efficiency as a resource in the Western US and Canada, as envisioned in the most recent resource plans issued by 16 utilities, representing about 60% of the region's load. Utility and third-party-administered energy-efficiency programs proposed by 15 utilities over a 10-year horizon would save almost 19,000 GWh annually, about 5.2% of forecast load. There are clear regional trends in the aggressiveness of proposed energy savings. California's investor-owned utilities (IOUs) had the most aggressive savings targets, followed by IOUs in the Pacific Northwest, and the lowest savings were proposed by utilities in Inland West states and by two public utilities on the West Coast. The adoption of multiple, aggressive policies targeting energy efficiency and climate change appears to produce sizeable energy-efficiency commitments. Certain specific policies, such as mandated energy savings goals for California's IOUs and energy-efficiency provisions in Nevada's Renewable Portfolio Standard, had a direct impact on the level of energy savings included in the resource plans. Other policies, such as revenue decoupling and shareholder incentives and voluntary or legislatively mandated greenhouse gas emission reduction policies, may have also impacted utilities' energy-efficiency commitments, though the effects of these policies are not easily measured. Despite progress among the utilities in our sample, more aggressive energy-efficiency strategies that include high-efficiency standards for additional appliances and equipment, tighter building codes for new construction and renovation, as well as more comprehensive ratepayer-funded energy-efficiency programs are likely to be necessary to achieve a region-wide goal of meeting 20% of electricity demand with efficiency in 2020.

462

Preliminary Assumptions for Wind Technologies  

E-Print Network (OSTI)

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

463

Chapter 15 Mineral Resources and the Environment  

E-Print Network (OSTI)

of the materials. Responses to limited availability #12; Find more resources Find a substitute Recycle whatChapter 15 Mineral Resources and the Environment #12;Minerals found in a typical office #12; Mineral resources, human population, and modern society Resources and reserves Availability of mineral

Pan, Feifei

464

Resources on Implementing Energy Savings Performance Contracts  

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

Many resources are available to help Federal agencies implement energy savings performance contracts (ESPCs).

465

Mahima Neupane Access to land resources  

E-Print Network (OSTI)

information followed the sustainable livelihood #12;Mahima Neupane Access to land resources framework (SLF

Richner, Heinz

466

Weatherization and Intergovernmental Program: Sustainable Energy Resources  

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

Sustainable Energy Resources for Consumers (SERC) Grants to someone by E-mail Share Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Facebook Tweet about Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Twitter Bookmark Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Google Bookmark Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Delicious Rank Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on Digg Find More places to share Weatherization and Intergovernmental Program: Sustainable Energy Resources for Consumers (SERC) Grants on

467

Financial resources | ENERGY STAR Buildings & Plants  

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

Tools and resources Tools and resources » Financial resources Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories

468

Communications resources | ENERGY STAR Buildings & Plants  

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

Tools and resources Tools and resources » Communications resources Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories

469

Solid-State Lighting: Information Resources  

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

Information Resources to Information Resources to someone by E-mail Share Solid-State Lighting: Information Resources on Facebook Tweet about Solid-State Lighting: Information Resources on Twitter Bookmark Solid-State Lighting: Information Resources on Google Bookmark Solid-State Lighting: Information Resources on Delicious Rank Solid-State Lighting: Information Resources on Digg Find More places to share Solid-State Lighting: Information Resources on AddThis.com... Conferences & Meetings Presentations Publications Webcasts Videos Tools Information Resources The Solid-State Lighting (SSL) program has a large collection of resources designed to deliver current, relevant information about the status of SSL technology and applications. On this page you'll find links to DOE conferences (past and present), presentations, publications, and webcasts.

470

Clean Cities: Clean Cities Public Outreach Resources  

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

Clean Cities Public Outreach Resources Clean Cities Public Outreach Resources to someone by E-mail Share Clean Cities: Clean Cities Public Outreach Resources on Facebook Tweet about Clean Cities: Clean Cities Public Outreach Resources on Twitter Bookmark Clean Cities: Clean Cities Public Outreach Resources on Google Bookmark Clean Cities: Clean Cities Public Outreach Resources on Delicious Rank Clean Cities: Clean Cities Public Outreach Resources on Digg Find More places to share Clean Cities: Clean Cities Public Outreach Resources on AddThis.com... Coordinator Basics Outreach Logos, Graphics, & Photographs Print Products & Templates Exhibit Booths Presentations Videos QR Codes Tips Education & Webinars Meetings Reporting Contacts Clean Cities Public Outreach Resources Use these robust resources to support your Clean Cities coalition's public

471

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 15, NO. 2, APRIL 2014 901 used in our analysis, and strong assumptions (but standard) have  

E-Print Network (OSTI)

. Alexander, L. Tonachel, and C. Clark, "En- vironmental assessment of plug-in hybrid electric vehicles volume 1: Nationwide greenhouse gas emissions," Electric Power Research Institute and Natural Resources­53, 2009. [4] P. Richardson, D. Flynn, and A. Keane, "Optimal charging of electric vehicles in low voltage

Granada, Universidad de

472

Effects of Brush Management on Water Resources  

E-Print Network (OSTI)

TR-338 2008 Effects of Brush Management on Water Resources By: C. Allan Jones and Lucas Gregory, Texas Water Resources Institute, Texas A&M AgriLife Texas Water Resources Institute Technical Report... November 2008 Effects of Brush Management on Water Resources By Allan Jones and Lucas Gregory Texas Water Resources Institute Texas A&M AgriLife November 2008 TR-338 2008 1 Summary ? For several decades, land managers have cleared brush...

Jones, C. Allan; Gregory, Lucas

473

PNM Resources | Open Energy Information  

Open Energy Info (EERE)

PNM Resources PNM Resources Jump to: navigation, search Name PNM Resources Place Albuquerque, New Mexico Coordinates 35.079530580491°, -106.66025161743° 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":35.079530580491,"lon":-106.66025161743,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

474

Energy Storage and Distributed Resources  

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

diagram of molecular structure, spectrocscopic data, low-swirl flame diagram of molecular structure, spectrocscopic data, low-swirl flame Energy Storage and Distributed Resources Energy Storage and Distributed Resources application/pdf icon esdr-org-chart-03-2013.pdf EETD researchers in the energy storage and distributed resources area conduct R&D and develops technologies that provide the electricity grid with significant storage capability for energy generated from renewable sources; real-time monitoring and response technologies for the "smart grid" to optimize energy use and communication between electricity providers and consumers; and technologies for improved electricity distribution reliability. Their goal is to identify and develop technologies, policies and strategies to enable a shift to renewable energy sources at $1 per watt for a

475

Shale Energy Resources Alliance (SERA)  

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

contActS contActS George Darakos Business Manager 412-386-7390 george.darakos@netl.doe.gov Barbara Kutchko, PhD Shallow Stray Gas, Research Team Leader 412-386-5149 barbara.kutchko@netl.doe.gov Natalie Pekney, PhD Air Emissions, Research Team Leader 412-386-5953 natalie.pekney@netl.doe.gov Paul Ziemkiewicz, PhD Water, Research Team Leader 304-293-6958 pziemkie@wvu.edu nEtL-RUA PARtnERS Carnegie Mellon University Penn State University of Pittsburgh URS Corporation Virginia Tech West Virginia University Shale Energy Resources Alliance (SERA) Mission To support the environmentally and socially sustainable development of shale resources through collaborative research and development among industry, university, and government partners on: resource characterization; drilling and

476

Acquisition Resources | Department of Energy  

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

Acquisition » Acquisition Acquisition » Acquisition Resources Acquisition Resources Doing Business with DOE/EM Doing Business with DOE/EM EM Procurement Offices Doing Business with EM Consolidated Business Center Guide for Submission of Unsolicated Proposals Federal Business Opportunities Small Business Opportunities EM Major Procurements as of 10/01/13 EM Utility Contracts EM Partnering Initiative: Journey to Excellence Metric No. 3.5 Project Management Resources DOE Office of Environmental Management Project & Contract Management Improvement Timeline Project Management Approach Using Earned Value Management Root Cause Analysis and Corrective Actions Plan DOE Order 413.3B DOE Directives OMB Capital Programming Guide OECM Project Management Career Development Program OECM Project Management Policy and Guidance per Office of Management

477

Amp Resources | Open Energy Information  

Open Energy Info (EERE)

Amp Resources Amp Resources Jump to: navigation, search Name Amp Resources Place Draper, Utah Zip 84020 Sector Geothermal energy Product Geothermal project developer. Coordinates 37.005709°, -80.748916° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.005709,"lon":-80.748916,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

478

Greenwood Resources | Open Energy Information  

Open Energy Info (EERE)

Resources Resources Jump to: navigation, search Name Greenwood Resources Address 1500 SW First Avenue Place Portland, Oregon Zip 97201 Sector Biofuels Product Aims to grow poplar trees for cellulosic ethanol Website http://www.greenwoodresources. Coordinates 45.5123956°, -122.6763911° 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":45.5123956,"lon":-122.6763911,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

479

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

E-Print Network (OSTI)

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

Carvajal, Jorge E.

2011-02-15T23:59:59.000Z

480

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

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

Work Family Community, Human Resources  

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

Links Links HR Homepage Division Calendar Diversity Office Occupational Medicine Employment Publications & Resources About HROM Contact List Organizational Chart (PDF) Have Questions? Feedback Form Core Values Mission, Vision, & Goals Other Information BNL Site Index Can't View PDFs? Family Friendly Programs Adoption Assistance Program Benefits Blood Drives Brookhaven Employee's Recreation Association (BERA) Brookhaven Retired Employee Association (BREA) Brookhaven Women in Science (BWIS) BSA Scholarship Child Care Council of Suffolk Child Development Center Domestic Partner Benefits Elder Care Resources Employee Assistance Program (EAP) Employer Assisted Housing Program English for Speakers of Other Languages Family and Medical Leave Act (FMLA) Flexible Spending Accounts (Medical and Dependent Care)

482

Griffiss Air Force Base integrated resource assessment. Volume 3, Electric resource assessment  

SciTech Connect

The US Air Force Air Combat Command (ACC) has tasked the US Department of Energy (DOE) Federal Energy Management Program (FEMP) to identify, evaluate, and assist in acquiring all cost-effective energy projects at Griffiss Air Force Base (AFB). FEMP, with support from the Pacific Northwest Laboratory (PNL), is designing this model program for federal customers served by the Niagara Mohawk Power Company. The program with Griffiss AFB will (1) identify and evaluate all cost-effective electric energy projects; (2) develop a schedule for project acquisition considering project type, size, timing, capital requirements, as well as energy and dollar savings; and (3) secure 100% of the financing required to implement electric energy efficiency projects from Niagara Mohawk and have them procure the necessary contractors to perform detailed audits and install the technologies. This report provides the results of the electric energy resource opportunity (ERO) assessments performed by PNL at one of Niagara Mohawk`s primary federal facilities, the ACC Griffiss AFB facility located near Rome, New York. The results of the analyses of EROs are presented in seven common energy end-use categories. A narrative description of each ERO provides information on the initial 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. The evaluation methodology and technical and cost assumptions are also described for each ERO. Summary tables present the operational performance of energy end-use equipment before and after the implementation of each ERO and the results of the life-cycle cost analysis indicating the net present value (NPV) and savings-to-investment ratio (SIR) of each ERO.

Armstrong, P.R.; Shankle, S.A.; Elliott, D.B.; Stucky, D.J.; Keller, J.M.; Wahlstrom, R.R.; Dagle, J.E.; Gu, A.Y.

1993-09-01T23:59:59.000Z

483

Cape Canaveral Air Force Station integrated resource assessment. Volume 3, Resource assessment  

SciTech Connect

The U.S. Air Force (USAF) has tasked the Pacific Northwest Laboratory (PNL) in support of the U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP), to identify, evaluate, and assist in acquiring all cost-effective energy projects at Cape Canaveral Air Force Station (AFS). Projects considered can be either in the form of energy management or energy conservation. The overall efforts of this task are based on a model program 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 Cape Canaveral AFS, which is located approximately 10 miles north of Cocoa Beach, Florida. 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, including 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. Descriptions of the evaluation methodologies and technical and cost assumptions are 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.

Sandusky, W.F.; Eichman, C.J.; King, D.A.; McMordie, K.L.; Parker, S.A.; Shankle, S.A.; Wahlstrom, R.R.

1994-03-01T23:59:59.000Z

484

Resource Constraints in Petroleum Production Potential  

Science Journals Connector (OSTI)

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

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

1991-07-12T23:59:59.000Z

485

Improved statistical machine translation for resource-poor languages using related resource-rich languages  

Science Journals Connector (OSTI)

We propose a novel language-independent approach for improving statistical machine translation for resource-poor languages by exploiting their similarity to resource-rich ones. More precisely, we improve the translation from a resource-poor source language ...

Preslav Nakov; Hwee Tou Ng

2009-08-01T23:59:59.000Z

486

Infinite Resources: The Ultimate Strategy  

Science Journals Connector (OSTI)

...su-peralloys used mainly in gas turbine jet engines, demand for cobalt...15) or components in special lasers. The loss of a significant...resources is only one factor control-ling long-term supplies...copper in motor and generator wind-ings will be difficult, but...

H. E. Goeller; A. Zucker

1984-02-03T23:59:59.000Z

487

EMERGENCY HIRE GUIDELINES HUMAN RESOURCES  

E-Print Network (OSTI)

EMERGENCY HIRE GUIDELINES HUMAN RESOURCES Workforce Planning · One Washington Square · San José, Ca: Workforce Planning; Sr. Workforce Planning Analyst DATE: May 2, 2008 I. PURPOSE / DESCRIPTION The Emergency. B. The Workforce Planning Analyst will work with the hiring manager/HR contact to identify and hire

Su, Xiao

488

Corrections for Water Resources Engineering  

E-Print Network (OSTI)

Corrections for Water Resources Engineering (First printing) By Larry W. Mays Corrections as of 4.8.2 should read, "Water flows in a rectangular channel ..." Chapter 3 Page 46 Delete second equal sign 5.3.1, steep S1 the type of flow is "subcritical" not "supercritical" Page 110 Figure 5

Mays, Larry W.

489

Infinite Resources: The Ultimate Strategy  

Science Journals Connector (OSTI)

...recovered now from natural gas Possibly X0 in seawater...oxygen, and the noble gases (but not helium...resources of many of the remaining elements can be signifi-cantly...times, since plant life seldom exceeds 30...nonflammable lifting gas and in cryogenics...required for civi-lized life. References and Notes...

H. E. Goeller; A. Zucker

1984-02-03T23:59:59.000Z

490

Cephalopod Resources of Venezuela Introduction  

E-Print Network (OSTI)

Cephalopod Resources of Venezuela Introduction The cephalopods in the Western Central Atlantic producing nations in the Western Central Atlantic are Mexico and Ven ezuela. While Venezuela has the lead in production of octopus (mainly Octopus maya). In Venezuela, both squid and octopus are produced as a by

491

Unique Approaches to Water Resources  

E-Print Network (OSTI)

as a result of free trade, atmospheric transport of trace pollutants, and urbanization. Available waterUnique Approaches to Water Resources Education in Florida Watershed Journal Executive Committee Photos courtesy of Dr. Frederick Bloetscher, PE W e are a diverse community of water profes- sionals. We

Central Florida, University of

492

EDUCATIONAL REVIEW Photosynthesis Web resources  

E-Print Network (OSTI)

EDUCATIONAL REVIEW Photosynthesis Web resources Larry Orr � Govindjee Published online: 25 May 2013 Web has become important for public awareness and for educating the world's population, including its a brief Introduction, rele- vant information found on photosynthesis-related Web sites and other online

Govindjee

493

Resource Letter N-1: Nanotechnology  

Science Journals Connector (OSTI)

This Resource Letter provides a guide to the literature on Nanotechnology. Journal articles books websites and other documents are cited on the following topics: attributes of various types of nanomaterials nanotechnology in the context of different academic fields and the effects of nanotechnology on society.

Devin Cela; Mildred Dresselhaus; Tingying Helen Zeng; Odair P. Ferreira

2014-01-01T23:59:59.000Z

494

TEACHING RESOURCE FOR MAKING TECHNOLOGY  

E-Print Network (OSTI)

, and training to support the university's online learning infrastructure. These responsibilities range from of formats to suit your preferences, including face-to-face, online, and hybrid modes. From overviews of e infrastructure at Texas A&M. The services and resources we provide are in place to benefit you and enhance

495

Puget Sound Career & Job Resources  

E-Print Network (OSTI)

Resources - Nonprofit & Government www2.ci.seattle.wa.us/CrisisClinic/ King County Veterans Program (206) 296-7656 www.vetsedge.org/king_county_veterans_program.htm Multi-Service Center, Federal Way (253) 838.lib.washington.edu/research/ click on Jobs and Careers King County Library System (425) 462-9600 www.kcls.org search keywords: Career

Kaminsky, Werner

496

NCSU Human Resources Training & Organizational  

E-Print Network (OSTI)

2011 NCSU Human Resources Training & Organizational Development Spring & Summer 2011 Learning to Training & Organizational Development's new eLearning Training Catalog. This catalog serves as a central information regarding: Participating Units and Who To Contact Certificate Programs Courses and Sessions eLearning

497

Coastal and Marine Resources Centre  

E-Print Network (OSTI)

to develop an Eco-systems Approach to Fisheries Management in Ireland. The Griffith Geomatics for Geo of Ireland, Cork Institute of Technology, the Port of Cork, the Industrial Development Authority, the Marine resources, with a focus on sectors such as ocean energy, marine IT and maritime space observations. Section

Schellekens, Michel P.

498

Students & Mental Health Resource Pack  

E-Print Network (OSTI)

Students & Mental Health Resource Pack Produced by - www.rethink.org/at-ease/ SHEFFIELD EARLY://clik.to/eis NORTH EAST SHEFFIELD Northlands Community Health Centre, Southey Hill, Sheffield S5 8BE Tel: 0114 is severe mental illness? 1.4 Treatment and prognosis What is mental health awareness? 2.1 Introduction 2

Stevenson, Mark

499

A CLASSIFICATION OF NATURAL RESOURCES  

Science Journals Connector (OSTI)

...now aggressive. India and China are not feared. The one country...develop her resources." The petroleum situation in the world to-day...the need for the manufactured imports for-merly received in exchange...industrializing of the present food-export-ing countries will wait on...

Nevin M. Fenneman

1925-02-20T23:59:59.000Z

500

Energy Efficiency Resource Standards | Department of Energy  

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

Energy Efficiency Resource Standards Energy Efficiency Resource Standards Energy Efficiency Resource Standards < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Savings Category Other Program Info State Delaware Program Type Energy Efficiency Resource Standard Provider Delaware Department of Natural Resources and Environmental Control In July 2009 the Delaware legislature enacted legislation creating energy savings targets for Delaware's investor-owned, municipal, and cooperative electric utilities, as well the state's natural gas distribution companies. These targets are hereafter referred to collectively as the Delaware Energy Efficiency Resource Standard or EERS. The law requires affected electric utilities to establish programs which save the equivalent