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1

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

Annual Energy Outlook 2012 (EIA)

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

2

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).

3

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

4

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

5

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).

6

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).

7

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).

8

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).

9

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.

10

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

SciTech Connect

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

Wayne Moe

2013-05-01T23:59:59.000Z

11

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

12

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

E-Print Network (OSTI)

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

C. Carilli; S. Rawlings

2004-09-12T23:59:59.000Z

13

The Key Coal Producers ONLINE SUPPORTING MATERIALS to  

E-Print Network (OSTI)

The Key Coal Producers ONLINE SUPPORTING MATERIALS to A Global Coal Production Forecast with Multi's most important coal-producing area is North-Central China. The provinces of Inner Mongolia, Ningxia, Shaanxi and Shanxi together accounted for 83 percent of China's proven coal reserves in 2000, and Shanxi

Patzek, Tadeusz W.

14

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

15

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

SciTech Connect

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

Arthur S. Rood; Swen O. Magnuson

2009-07-01T23:59:59.000Z

16

Sixth Northwest Conservation and Electric Power Plan Chapter 2: Key Assumptions  

E-Print Network (OSTI)

PRICES The future prices of natural gas, coal, and oil have an important effect on the Council's power, is an important factor when considering the use of natural gas for electricity generation. Price volatility-sized homes. The cost of energy (natural gas, oil, and electricity) is expected to be significantly higher

17

Coal Market Module  

Annual Energy Outlook 2012 (EIA)

6, DOEEIA-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...

18

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).

19

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).

20

Coal Market Module  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 153 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 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 2011, DOE/EIA-M060(2011) (Washington, DC, 2011). 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-one separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations

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

Coal Market Module This  

Gasoline and Diesel Fuel Update (EIA)

51 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 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 2012, DOE/EIA-M060(2012) (Washington, DC, 2012). 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-one separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations

22

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

23

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).

24

Coal....  

U.S. Energy Information Administration (EIA)

DOE EIA WEEKLY COAL ... Coal Prices and Earnings (updated April 28, 2004) Spot coal prices in the East rose steadily since Labor Day 2003, with rapid escalations ...

25

Coal....  

U.S. Energy Information Administration (EIA)

DOE EIA WEEKLY COAL ... Coal Prices and Earnings (updated September 26) The average spot prices for reported coal purchases rose once again ...

26

Coal....  

U.S. Energy Information Administration (EIA)

Coal Prices and Earnings (updated August 12) According to Platts Coal Outlook’s Weekly Price Survey (August 11), the ...

27

Coal....  

U.S. Energy Information Administration (EIA)

Coal Prices and Earnings (updated September 2) The average spot prices for coal traded last week were relatively ...

28

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

29

Coal....  

U.S. Energy Information Administration (EIA)

DOE EIA WEEKLY COAL ... Coal Prices and Earnings (updated July 7, 2004) In the trading week ended July 2, the average spot coal prices tracked by EIA were mixed.

30

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.

31

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.

32

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.

33

USE OF COAL DRYING TO REDUCE WATER CONSUMED IN PULVERIZED COAL POWER PLANTS  

SciTech Connect

This is the twelfth Quarterly Report for this project. The background and technical justification for the project are described, including potential benefits of reducing fuel moisture using power plant waste heat, prior to firing the coal in a pulverized coal boiler. During this last Quarter, the development of analyses to determine the costs and financial benefits of coal drying was continued. The details of the model and key assumptions being used in the economic evaluation are described in this report and results are shown for a drying system utilizing a combination of waste heat from the condenser and thermal energy extracted from boiler flue gas.

Edward Levy; Harun Bilirgen; Ursla Levy; John Sale; Nenad Sarunac

2006-01-01T23:59:59.000Z

34

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

35

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

36

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

37

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.

38

Coal Market Module  

Reports and Publications (EIA)

Documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System's (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 2013 (AEO2013). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM's two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS).

Michael Mellish

2013-07-17T23:59:59.000Z

39

U.S. Coal Reserves  

Reports and Publications (EIA)

U.S. Coal Reserves presents detailed estimates of U.S. coal reserves by State, as well as descriptions of the data, methods, and assumptions used to develop such estimates.

Information Center

2012-11-20T23:59:59.000Z

40

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

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

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.

42

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

43

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

44

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

45

The disciplined use of simplifying assumptions  

Science Conference Proceedings (OSTI)

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

Charles Rich; Richard C. Waters

1982-04-01T23:59:59.000Z

46

Current Status and Future Assumptions INTRODUCTION  

E-Print Network (OSTI)

supplies (coal bed methane, tight sands, oil shale), increased import capability through May 2005 2-9 #12

47

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

48

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Household Expenditures Module Household Expenditures Module The Household Expenditures Module (HEM) constructs household energy expenditure profiles using historical survey data on household income, population and demographic characteristics, and consumption and expenditures for fuels for various end-uses. These data are combined with NEMS forecasts of household disposable income, fuel consumption, and fuel expenditures by end-use and household type. The HEM disaggregation algorithm uses these combined results to forecast household fuel consumption and expenditures by income quintile and Census Division. Key Assumptions The historical input data used to develop the HEM version for the AEO2003 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2003 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS).

49

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

50

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

51

Assumptions to the Annual Energy Outlook 2012  

U.S. Energy Information Administration (EIA)

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

52

Assumptions to the Annual Energy Outlook 2000 - Household Expenditures  

Gasoline and Diesel Fuel Update (EIA)

Key Assumptions Key Assumptions The historical input data used to develop the HEM version for the AEO2000 consists of recent household survey responses, aggregated to the desired level of detail. Two surveys performed by the Energy Information Administration are included in the AEO2000 HEM database, and together these input data are used to develop a set of baseline household consumption profiles for the direct fuel expenditure analysis. These surveys are the 1997 Residential Energy Consumption Survey (RECS) and the 1991 Residential Transportation Energy Consumption Survey (RTECS). HEM uses the consumption forecast by NEMS for the residential and transportation sectors as inputs to the disaggregation algorithm that results in the direct fuel expenditure analysis. Household end-use and personal transportation service consumption are obtained by HEM from the NEMS Residential and Transportation Demand Modules. Household disposable income is adjusted with forecasts of total disposable income from the NEMS Macroeconomic Activity Module.

53

EIA - Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

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

54

USE OF COAL DRYING TO REDUCE WATER CONSUMED IN PULVERIZED COAL POWER PLANTS  

SciTech Connect

Low rank fuels such as subbituminous coals and lignites contain significant amounts of moisture compared to higher rank coals. Typically, the moisture content of subbituminous coals ranges from 15 to 30 percent, while that for lignites is between 25 and 40 percent, where both are expressed on a wet coal basis. High fuel moisture has several adverse impacts on the operation of a pulverized coal generating unit. High fuel moisture results in fuel handling problems, and it affects heat rate, mass rate (tonnage) of emissions, and the consumption of water needed for evaporative cooling. This project deals with lignite and subbituminous coal-fired pulverized coal power plants, which are cooled by evaporative cooling towers. In particular, the project involves use of power plant waste heat to partially dry the coal before it is fed to the pulverizers. Done in a proper way, coal drying will reduce cooling tower makeup water requirements and also provide heat rate and emissions benefits. The technology addressed in this project makes use of the hot circulating cooling water leaving the condenser to heat the air used for drying the coal (Figure 1). The temperature of the circulating water leaving the condenser is usually about 49 C (120 F), and this can be used to produce an air stream at approximately 43 C (110 F). Figure 2 shows a variation of this approach, in which coal drying would be accomplished by both warm air, passing through the dryer, and a flow of hot circulating cooling water, passing through a heat exchanger located in the dryer. Higher temperature drying can be accomplished if hot flue gas from the boiler or extracted steam from the turbine cycle is used to supplement the thermal energy obtained from the circulating cooling water. Various options such as these are being examined in this investigation. This is the eleventh Quarterly Report for this project. The background and technical justification for the project are described, including potential benefits of reducing fuel moisture using power plant waste heat, prior to firing the coal in a pulverized coal boiler. During this last Quarter, the development of analyses to determine the costs and financial benefits of coal drying was continued. The details of the model and key assumptions being used in the economic evaluation are described in this report.

Edward Levy

2005-10-01T23:59:59.000Z

55

Hierarchy of Mesoscale Flow Assumptions and Equations  

Science Conference Proceedings (OSTI)

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

P. Thunis; R. Bornstein

1996-02-01T23:59:59.000Z

56

Commercialization of Coal-to-Liquids Technology  

SciTech Connect

The report provides an overview of the current status of coal-to-liquids (CTL) commercialization efforts, including an analysis of efforts to develop and implement large-scale, commercial coal-to-liquids projects to create transportation fuels. Topics covered include: an overview of the history of coal usage and the current market for coal; a detailed description of what coal-to-liquids technology is; the history of coal-to-liquids development and commercial application; an analysis of the key business factors that are driving the increased interest in coal-to-liquids; an analysis of the issues and challenges that are hindering the commercialization of coal-to-liquids technology; a review of available coal-to-liquids technology; a discussion of the economic drivers of coal-to-liquids project success; profiles of key coal-to-liquids developers; and profiles of key coal-to-liquids projects under development.

NONE

2007-08-15T23:59:59.000Z

57

Assumptions to the Annual Energy Outlook 2002 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20021 (AEO2002), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2002 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of

58

Assumptions to the Annual Energy Outlook 2001 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Outlook2001 Outlook2001 Supplemental Data to the AEO2001 NEMS Conference To Forecasting Home Page EIA Homepage Introduction This report presents the major assumptions of the National Energy Modeling System (NEMS) used to generate the projections in the Annual Energy Outlook 20011 (AEO2001), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports.2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview.3 The National Energy Modeling System The projections in the AEO2001 were produced with the National Energy

59

NETL: Clean Coal Demonstrations - Clean Coal Today Newsletter  

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

Clean Coal Today Newsletter Clean Coal Today Newsletter Clean Coal Demonstrations Clean Coal Today Newsletter Clean Coal Today is a quarterly newsletter of the U.S. Department of Energy, Office of Fossil Energy (FE), Office of Clean Coal. Among other things, Clean Coal Today highlights progress under the Clean Coal Power Initiative, the Power Plant Improvement Initiative, and the few remaining projects of the original Clean Coal Technology Demonstration Program. Reporting on coal R&D performed at government laboratories, as well as in conjunction with stakeholders, it provides key information on FE's coal-related activities, most of which are directed toward near-zero emissions, ultra-efficient technologies of the future. Subscriptions are free – to have your name placed on the mailing list, contact the Editor at Phoebe.Hamill@hq.doe.gov.

60

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)

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


61

EIA - Assumptions to the Annual Energy Outlook 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),

62

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

63

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

64

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

65

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.

66

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.

67

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.

68

KEY PERSONNEL  

National Nuclear Security Administration (NNSA)

APPENDIX J KEY PERSONNEL 07032013 TITLE NAME President Christopher C. Gentile Vice President, Operations Robin Stubenhofer Director, Sr. Program Management Rick Lavelock...

69

Key Outcomes:  

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

INDIAN COUNTRY ENERGY AND INFRASTRUCTURE WORKING GROUP ICEIWG Key Points & Action Items Inaugural Meeting Thursday, August 25, 2011 Renaissance Denver Hotel Denver, Colorado...

70

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

71

Assumptions to the Annual Energy Outlook 2006  

Gasoline and Diesel Fuel Update (EIA)

6) 6) Release date: March 2006 Next release date: March 2007 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 International Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 Natural Gas Transmission and Distribution Module. . . . . . . . . . . . . . . . . . . . . . 101 Petroleum Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Coal Market Module

72

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Macroeconomic Activity Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 International Energy Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Household Expenditures Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Residential Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 Commercial Demand Module. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 Industrial Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Transportation Demand Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 Electricity Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 Oil and Gas Supply Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 Natural Gas Transmission and Distribution Module . . . . . . . . . . . . . . . . . . . . . . 99 Petroleum Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 Coal Market Module . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 Renewable Fuels Module . . . . . . . . . . .

73

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

74

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

75

Key Documents  

Science Conference Proceedings (OSTI)

AOCS by-laws, code of ethics and anti trust policy established during our 100+ legacy. Key Documents AOCS History and Governance about us aocs committees contact us division council fats governing board history oils professionals science value cen

76

Model documentation coal market module of the National Energy Modeling System  

SciTech Connect

This report documents the approaches used in developing the Annual Energy Outlook 1995 (AEO95). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of the coal market module`s three submodules. These are the Coal Production Submodule (CPS), the Coal Export Submodule (CES), the Coal Expert Submodule (CES), and the Coal Distribution Submodule (CDS).

1995-03-01T23:59:59.000Z

77

Commercialization of coal to liquids technology  

SciTech Connect

After an overview of the coal market, technologies for producing liquids from coal are outlined. Commercialisation of coal-to-liquid fuels, the economics of coal-to-liquids development and the role of the government are discussed. Profiles of 8 key players and the profiles of 14 projects are finally given. 17 figs., 8 tabs.

NONE

2007-07-01T23:59:59.000Z

78

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

Annual Energy Outlook 2012 (EIA)

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

79

Assumptions to the Annual Energy Outlook - Table 41  

Annual Energy Outlook 2012 (EIA)

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80

Fossil Energy Announces Addition of Three Key Staff Members ...  

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

appointment of three key senior staff members to the Office of Fossil Energy - James F. Wood, Deputy Assistant Secretary for Clean Coal; Christopher A. Smith, Deputy Assistant...

Note: This page contains sample records for the topic "key assumptions coal" 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 2002 - Table of Contents  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Oil and Gas Supply Module Renewable Fuels Module Natural Gas Transmission and Distribution Module Coal Market Module Coal Market Module Petroleum...

82

Key Outcomes:  

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

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

83

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).

84

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.

85

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.

86

WCI Case for Coal  

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

Coal Coal The role of as an energy source The role of coal as an energy source Key Messages * Energy demand has grown strongly and will continue to increase, particularly in developing countries where energy is needed for economic growth and poverty alleviation. * All energy sources will be needed to satisfy that demand by providing a diverse and balanced supply mix. * Coal is vital for global energy security. It is abundantly available, affordable, reliable and easy and safe to transport. * In an energy hungry world the challenge for coal, as for other fossil fuels, is to further substantially reduce its greenhouse gas and other emissions, while continuing to make a major contribution to economic and social development and energy security. * Coal is part way down a technology pathway that has already delivered major

87

NETL: Coal/Biomass Feed and Gasification  

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

Coal/Biomass Feed & Gasification Coal/Biomass Feed & Gasification Coal and Coal/Biomass to Liquids Coal/Biomass Feed and Gasification The Coal/Biomass Feed and Gasification Key Technology is advancing scientific knowledge of the production of liquid hydrocarbon fuels from coal and/or coal-biomass mixtures. Activities support research for handling and processing of coal/biomass mixtures, ensuring those mixtures are compatible with feed delivery systems, identifying potential impacts on downstream components, catalyst and reactor optimization, and characterizing the range of products and product quality. Active projects within the program portfolio include the following: Coal-biomass fuel preparation Development of Biomass-Infused Coal Briquettes for Co-Gasification Coal-biomass gasification modeling

88

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).

89

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

90

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).

91

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

92

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).

93

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

94

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).

95

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...

96

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.

97

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

98

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

99

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

100

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

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

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Contract Price and Coal Market Price forproduction cost for raw coal Average sale price Average CoalGeneration RMB (Nominal Prices)/Tonne Coal contract price

Levine, Mark

2013-01-01T23:59:59.000Z

102

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Contract Price and Coal Market Price forproduction cost for raw coal Average sale price Average CoalGeneration RMB (Current Prices)/Tonne Coal contract price

Levine, Mark

2013-01-01T23:59:59.000Z

103

Coal sector profile  

SciTech Connect

Coal is our largest domestic energy resource with recoverable reserves estimated at 268 billion short tons or 5.896 quads Btu equivalent. This is approximately 95 percent of US fossil energy resources. It is relatively inexpensive to mine, and on a per Btu basis it is generally much less costly to produce than other energy sources. Its chief drawbacks are the environmental, health and safety concerns that must be addressed in its production and consumption. Historically, coal has played a major role in US energy markets. Coal fueled the railroads, heated the homes, powered the factories. and provided the raw materials for steel-making. In 1920, coal supplied over three times the amount of energy of oil, gas, and hydro combined. From 1920 until the mid 1970s, coal production remained fairly constant at 400 to 600 million short tons a year. Rapid increases in overall energy demands, which began during and after World War II were mostly met by oil and gas. By the mid 1940s, coal represented only half of total energy consumption in the US. In fact, post-war coal production, which had risen in support of the war effort and the postwar Marshall plan, decreased approximately 25 percent between 1945 and 1960. Coal demand in the post-war era up until the 1970s was characterized by increasing coal use by the electric utilities but decreasing coal use in many other markets (e.g., rail transportation). The oil price shocks of the 1970s, combined with natural gas shortages and problems with nuclear power, returned coal to a position of prominence. The greatly expanded use of coal was seen as a key building block in US energy strategies of the 1970s. Coal production increased from 613 million short tons per year in 1970 to 950 million short tons in 1988, up over 50 percent.

1990-06-05T23:59:59.000Z

104

General model of quantum key distribution  

E-Print Network (OSTI)

A general mathematical framework for quantum key distribution based on the concepts of quantum channel and Turing machine is suggested. The security for its special case is proved. The assumption is that the adversary can perform only individual (in essence, classical) attacks. For this case an advantage of quantum key distribution over classical one is shown.

A. S. Trushechkin; I. V. Volovich

2005-04-20T23:59:59.000Z

105

Hard truths: facing the hard truths about energy. Topic Paper No. 18: Coal to liquids and gas  

Science Conference Proceedings (OSTI)

The report presents the issues associated with and the potential of coal to liquids (CTL) and coal to gas (CTG) technologies. The other important outcome from this report is to view and understand the inputs and assumptions from various publications and the range of production estimates from CTG and CTL technology. The examination of the publications demonstrates a large uncertainty for CTL, due to various assumptions from petroleum price to technological abilities. Key assumptions are left unexamined, such as product transportation, labor, equipment availability, and environmental risk. Overall, the published CTL production estimates are small in the total global petroleum market perspective; even in the most optimistic scenario the volume from CTL amounts to only 20% of the U.S. petroleum market in the Southern States Energy Board (SSEB) report. The National Coal Council (NCC) saw a 10% market share, whereas the various Energy Information Administration (EIA) scenarios saw 0% to 6% of the U.S market share. The NCC and SSEB both mentioned the added benefit of using the CO{sub 2} for enhanced oil recovery (EOR). It begins by introducing the process, giving a detailed technological understanding, and then outlining each issue with each report from coal availability to oil price assumptions. The incremental gains from CTL and other technology areas, such as oil shale, could have a significant impact on U.S. energy cost and foreign dependency. The use of coal allows the added benefit of relying on a resource that is domestically more plentiful than petroleum, but this reliance must be carefully balanced with the economics of developing the resource, since CTL facilities can cost more than $1 billion per 10,000 days of production, which implicates the competitiveness of the U.S. economy within the global economy. 33 refs.

NONE

2007-07-18T23:59:59.000Z

106

U.S. coal exports at highest levels since 1992 - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Biofuels: Ethanol & Biodiesel ... Disruptions in the global coal supply chain from natural disasters, such as typhoons and flooding in Australia's key coal mining ...

107

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2003), (Washington, DC, January 2003).

108

Model documentation Coal Market Module of the National Energy Modeling System  

SciTech Connect

This report documents objectives and conceptual and methodological approach used in the development of the National Energy Modeling System (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1996 (AEO96). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s three submodules: Coal Production Submodule, Coal Export Submodule, and Coal Distribution Submodule.

1996-04-30T23:59:59.000Z

109

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

110

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

Science Conference Proceedings (OSTI)

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

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

2008-11-01T23:59:59.000Z

111

Coal Gasification for Power Generation, 3. edition  

SciTech Connect

The report provides a concise look at the challenges faced by coal-fired generation, the ability of coal gasification to address these challenges, and the current state of IGCC power generation. Topics covered include: an overview of Coal Generation including its history, the current market environment, and the status of coal gasification; a description of gasification technology including processes and systems; an analysis of the key business factors that are driving increased interest in coal gasification; an analysis of the barriers that are hindering the implementation of coal gasification projects; a discussion of Integrated Gasification Combined Cycle (IGCC) technology; an evaluation of IGCC versus other generation technologies; a discussion of IGCC project development options; a discussion of the key government initiatives supporting IGCC development; profiles of the key gasification technology companies participating in the IGCC market; and, a detailed description of existing and planned coal IGCC projects.

2007-11-15T23:59:59.000Z

112

Modeling new coal projects: supercritical or subcritical?  

Science Conference Proceedings (OSTI)

Decisions made on new build coal-fired plants are driven by several factors - emissions, fuel logistics and electric transmission access all provide constraints. The crucial economic decision whether to build supercritical or subcritical units often depends on assumptions concerning the reliability/availability of each technology, the cost of on-fuel operations including maintenance, the generation efficiencies and the potential for emissions credits at some future value. Modeling the influence of these key factors requires analysis and documentation to assure the assets actually meet the projected financial performance. This article addresses some of the issue related to the trade-offs that have the potential to be driven by the supercritical/subcritical decision. Solomon Associates has been collecting cost, generation and reliability data on coal-fired power generation assets for approximately 10 years using a strict methodology and taxonomy to categorize and compare actual plant operations data. This database provides validated information not only on performance, but also on alternative performance scenarios, which can provide useful insights in the pro forma financial analysis and models of new plants. 1 ref., 1 fig., 3 tabs.

Carrino, A.J.; Jones, R.B. [Solomon Associates, Dallas, TX (United States)

2006-11-15T23:59:59.000Z

113

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

Annual Energy Outlook 2012 (EIA)

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

114

Crypto Key Management Framework  

Science Conference Proceedings (OSTI)

... A Framework for Designing Cryptographic Key Management Systems ... A Framework for Designing Cryptographic Key Management Systems ...

2013-08-13T23:59:59.000Z

115

EIA - Assumptions to the Annual Energy Outlook 2010  

Annual Energy Outlook 2012 (EIA)

image Electricity Market Module pdf image Oil and Gas Supply Module pdf image Natural Gas Transmission and Distribution Module pdf image Petroleum Market Module pdf image Coal...

116

EIA - Assumptions to the Annual Energy Outlook 2009  

Annual Energy Outlook 2012 (EIA)

image Electricity Market Module pdf image Oil and Gas Supply Module pdf image Natural Gas Transmission and Distribution Module pdf image Petroleum Market Module pdf image Coal...

117

EIA - Assumptions to the Annual Energy Outlook 2008  

Gasoline and Diesel Fuel Update (EIA)

image Electricity Market Module pdf image Oil and Gas Supply Module pdf image Natural Gas Transmission and Distribution Module pdf image Petroleum Market Module pdf image Coal...

118

American coal imports 2015  

SciTech Connect

As 2007 ends, the US coal industry passes two major milestones - the ending of the Synfuel tax break, affecting over 100M st annually, and the imposition of tighter and much more expensive safety measures, particularly in deep mines. Both of these issues, arriving at a time of wretched steam coal price levels, promise to result in a major shake up in the Central Appalachian mining sector. The report utilizes a microeconomic regional approach to determine whether either of these two schools of thought have any validity. Transport, infrastructure, competing fuels and regional issues are examined in detail and this forecasts estimates coal demand and imports on a region by region basis for the years 2010 and 2015. Some of the major highlights of the forecast are: Import growth will be driven by steam coal demand in the eastern and southern US; Transport will continue to be the key driver - we believe that inland rail rates will deter imports from being railed far inland and that the great majority of imports will be delivered directly by vessel, barge or truck to end users; Colombian coal will be the overwhelmingly dominant supply source and possesses a costs structure to enable it to compete with US-produced coal in any market conditions; Most of the growth will come from existing power plants - increasing capacity utilization at existing import facilities and other plants making investments to add imports to the supply portfolio - the growth is not dependent upon a lot of new coal fired capacity being built. Contents of the report are: Key US market dynamics; International supply dynamics; Structure of the US coal import market; and Geographic analysis.

Frank Kolojeski [TransGlobal Ventures Corp. (United States)

2007-09-15T23:59:59.000Z

119

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

120

Coal: Energy for the future  

SciTech Connect

This report was prepared in response to a request by the US Department of energy (DOE). The principal objectives of the study were to assess the current DOE coal program vis-a-vis the provisions of the Energy Policy Act of 1992 (EPACT), and to recommend the emphasis and priorities that DOE should consider in updating its strategic plan for coal. A strategic plan for research, development, demonstration, and commercialization (RDD and C) activities for coal should be based on assumptions regarding the future supply and price of competing energy sources, the demand for products manufactured from these sources, technological opportunities, and the need to control the environmental impact of waste streams. These factors change with time. Accordingly, the committee generated strategic planning scenarios for three time periods: near-term, 1995--2005; mid-term, 2006--2020; and, long-term, 2021--2040. The report is divided into the following chapters: executive summary; introduction and scope of the study; overview of US DOE programs and planning; trends and issues for future coal use; the strategic planning framework; coal preparation, coal liquid mixtures, and coal bed methane recovery; clean fuels and specialty products from coal; electric power generation; technology demonstration and commercialization; advanced research programs; conclusions and recommendations; appendices; and glossary. 174 refs.

1995-05-01T23:59:59.000Z

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

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.

122

NETL: Coal and Power Systems  

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

Systems Systems Technologies Coal and Power Systems Advancing our Nation's Portfolio of Coal RD&D Technologies - Rotating Images Advancing our Nation's Portfolio of Coal RD&D Technologies - Read More! Focus of NETL RD&D RD&D efforts in coal and power systems fall into three categories: Technologies that enable existing coal power plants to cost-effectively meet environmental requirements. NETL and its research partners are developing environmental control technologies for retrofitting existing power plants, with application to new plants as well. Key areas of research include cost-effective control of mercury, nitrogen oxides, sulfur dioxide, and fine particulate emissions; beneficial uses for coal utilization byproducts; and innovations to minimize the impact of

123

World Energy Projection System Plus Model Documentation: Coal Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Coal Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

124

Detecting of Coal Gas Weak Signals Using Lyapunov Exponent under Strong Noise Background  

Science Conference Proceedings (OSTI)

In coal gas monitoring system, the early detecting of gas concentration is key technique for preventing the gas explosion because the coal gas signals are very weak under strong noise background in mining digging laneway. In this paper, the coal gas ... Keywords: Coal gas, weak signals, coal mine underground, Lyapunov exponent, Duffing chaotic oscillator

Ma Xian-Min

2013-01-01T23:59:59.000Z

125

Production and screening of carbon products precursors from coal: Carbon Products Consortium. Quarterly technical progress report and key personnel staffing report number 4, October 1, 1995--December 31, 1995  

SciTech Connect

This quarterly report covers activities during the period from October 1, 1995 through December 31, 1995. The principal events concerning administration of the Carbon Products Consortium (CPC) were the December 12, 1995 Fall business meeting of the CPC and the general CPC review meeting on December 13, 1995. It is noteworthy that CONOCO, Inc. joined the CPC and that the CPC Board of Directors approved annual member fees to help support the CPC organization. Discussions have been initiated on licensing and joint venture arrangements to produce pilot-scale quantities of solvent extract coal pitches. The technical emphasis continues to be the supply of coal-based feedstocks to the industrial participants. There have been several iterations of samples and feedback to meet feedstock characteristics for a wide variety of carbon products. Technology transfer and marketing of the CPC is a continual effort. Interest in the program and positive results from the research continue to grow.

NONE

1996-01-01T23:59:59.000Z

126

NETL: Clean Coal Demonstrations - Coal 101  

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

Clean Coal 101 Lesson 1: Cleaning Up Coal Clean Coal COAL is our most abundant fossil fuel. The United States has more coal than the rest of the world has oil. There is still...

127

BUDGET KEY DATES  

Science Conference Proceedings (OSTI)

BUDGET KEY DATES. For Immediate Release: December 15, 2009. Contact: Diane Belford 301-975-8400. Budget Key Dates.

2013-06-16T23:59:59.000Z

128

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

129

Prognostic Evaluation of Assumptions Used by Cumulus Parameterizations  

Science Conference Proceedings (OSTI)

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

Georg A. Grell

1993-03-01T23:59:59.000Z

130

Computational soundness for standard assumptions of formal cryptography  

E-Print Network (OSTI)

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

Herzog, Jonathan, 1975-

2004-01-01T23:59:59.000Z

131

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

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

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

132

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

133

Coal pump  

DOE Patents (OSTI)

A device for pressurizing pulverized coal and circulating a carrier gas is disclosed. This device has utility in a coal gasification process and eliminates the need for a separate collection hopper and eliminates the separate compressor.

Bonin, John H. (Sunnyvale, CA); Meyer, John W. (Palo Alto, CA); Daniel, Jr., Arnold D. (Alameda County, CA)

1983-01-01T23:59:59.000Z

134

EIA - Coal Distribution  

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

Annual Coal Distribution Report > Annual Coal Distribution Archives Annual Coal Distribution Archive Release Date: February 17, 2011 Next Release Date: December 2011 Domestic coal...

135

Analysis of the Coal Sector under Carbon Constraints  

E-Print Network (OSTI)

As an input to the MIT study of The Future of Coal (Ansolabehere et al., 2007) the MIT Emissions Prediction and Policy Analysis (EPPA) model was applied to an assessment of the fate of the coal industry under various scenarios of greenhouse gas mitigation and alternative assumptions about nuclear power growth and the future price of natural gas. A main determinant

James R. Mcfarl; Sergey Paltsev; Henry D. Jacoby

2008-01-01T23:59:59.000Z

136

2012 Brief: Coal and mid-continent crude oil prices ...  

U.S. Energy Information Administration (EIA)

Coal and mid-continent crude oil (WTI) led energy commodity price declines in 2012. Natural gas was the only key energy commodity with a significant ...

137

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Production by Source Shares* Coal Oil Natural Gas NuclearProduction by Source Shares Coal Oil Natural Gas Hydroby Fuel Source (1980-2010) Mtce Coal Oil Natural Gas Hydro

Levine, Mark

2013-01-01T23:59:59.000Z

138

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Thermal Power Heating Supply Coal Washing Coking PetroleumEnergy Production (Mtce) AAGR Coal Raw Crude Oil PrimaryNatural Gas TPE by Fuel Shares * Coal Raw Crude Oil Primary

Levine, Mark

2013-01-01T23:59:59.000Z

139

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Energy Production (Mtce) Coal Oil Natural Gas Nuclear HydroProduction by Source Shares* Coal Oil Natural Gas NuclearTotal Primary Energy (Mtce) Coal Production (1985-2010) AAGR

Levine, Mark

2013-01-01T23:59:59.000Z

140

Key China Energy Statistics 2012  

E-Print Network (OSTI)

coal, washed coal, briquettes) and derived fuels (coke,coke oven gas, and other coking products). Crude oilWashed Coal Mt Briquettes Mt Coke Mt Coke Oven Gas Billion m

Levine, Mark

2013-01-01T23:59:59.000Z

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

Assessing initial-cost growth and subsequent long-term cost improvement in coal-to-SNG processes. Final report  

Science Conference Proceedings (OSTI)

The overall objective of the study was the development of guidance that would enable gas-industry R and D managers to make more-reliable assessments of the potential for both initial-cost growth and subsequent long-run cost improvement in alternative coal-gasification technologies. The first phase of the research assessed the reasonableness of the GRI contingency methodology by comparing the results obtained from applying the GRI method and the RAND Pioneer Plant Study (PPS) method to an identical set of eight coal-to-SNG processes. The second phase of the research, which addressed the issue of cost improvement, found that between process introduction and process maturity, overall cost reductions of between 30% (for moderately innovative technologies) and 60% (for highly innovative technologies) are possible. However, these results were highly dependent on a number of key assumptions including: similarity of site characteristics for successive plants; access to prior plant's experience base; and appropriate management attitudes.

Hess, R.W.; Myers, C.W.

1989-06-01T23:59:59.000Z

142

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Use Residential Power Generation/Heat Commerce, Const. ,Coal Market Price for Power Generation RMB (Nominal Prices)/contract price for power generation Coal market price for

Levine, Mark

2013-01-01T23:59:59.000Z

143

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Oil Natural Gas Nuclear Hydro Wind Other Renewables TotalCoal Oil Natural Gas Nuclear Hydro Wind Other Renewables *Coal Oil Natural Gas Hydro Nuclear Wind Other Renewables

Levine, Mark

2013-01-01T23:59:59.000Z

144

NETL: Clean Coal Demonstrations - Coal 101  

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

Cleanest Coal Technology Clean Coal 101 Lesson 5: The Cleanest Coal Technology-A Real Gas Don't think of coal as a solid black rock. Think of it as a mass of atoms. Most of the...

145

Key condenser failure mechanisms  

Science Conference Proceedings (OSTI)

Eight practical lessons highlight many of the factors that can influence condenser tube corrosion at coal-fired utilities and the effects contaminant in-leakage can have on steam generating units. 1 ref., 4 figs.

Buecker, B.

2009-04-15T23:59:59.000Z

146

Coal_Studyguide.indd  

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

Study Guide: WHAT IS COAL? Coal looks like a shiny black rock. Coal has lots of energy in it. When it is burned, coal makes heat and light energy. Th e cave men used coal for...

147

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

148

A Comparison of the Free Ride and CISK Assumptions  

Science Conference Proceedings (OSTI)

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

Torben Strunge Pedersen

1991-08-01T23:59:59.000Z

149

Clean Coal Technology and the Clean Coal Power Initiative | Department...  

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

Clean Coal Technology and the Clean Coal Power Initiative Clean Coal Technology and the Clean Coal Power Initiative "Clean coal technology" describes a new generation of energy...

150

Security proof of practical quantum key distribution schemes  

E-Print Network (OSTI)

This paper provides a security proof of the Bennett-Brassard (BB84) quantum key distribution protocol in practical implementation. To prove the security, it is not assumed that defects in the devices are absorbed into an adversary's attack. In fact, the only assumption in the proof is that the source is characterized. The proof is performed by lower-bounding adversary's Renyi entropy about the key before privacy amplification. The bound reveals the leading factors reducing the key generation rate.

Yodai Watanabe

2005-06-29T23:59:59.000Z

151

Group key management  

SciTech Connect

This report describes an architecture and implementation for doing group key management over a data communications network. The architecture describes a protocol for establishing a shared encryption key among an authenticated and authorized collection of network entities. Group access requires one or more authorization certificates. The implementation includes a simple public key and certificate infrastructure. Multicast is used for some of the key management messages. An application programming interface multiplexes key management and user application messages. An implementation using the new IP security protocols is postulated. The architecture is compared with other group key management proposals, and the performance and the limitations of the implementation are described.

Dunigan, T.; Cao, C.

1997-08-01T23:59:59.000Z

152

The estimation of the number of underground coal miners and the annual dose to coal miners in China  

Science Conference Proceedings (OSTI)

This paper introduces an estimation method for the number of underground coal miners and the annual dose to coal miners in China. It shows that there are about 6 million underground miners at present and the proportion is about 1, 1 and 4 million for national key coal mines, state-owned local coal mines, and township and private-ownership coal mines, respectively. The collective dose is about 1.65 X 10{sup 4} person-Sv y{sup -1}, of which township and private-ownership coal mines contribute about 91%. This paper also points out that the 2000 UNSCEAR report gives the number of miners of coal production and their collective dose, which are underestimated greatly because the report only includes the number of underground miners in national key coal mines, which only accounts for 1/6 of the workers all working under the best ventilation conditions in China.

Liu, F.D.; Pan, Z.Q.; Liu, S.L.; Chen, L.; Ma, J.Z.; Yang, M.L.; Wang, N.P. [China Institute of Atomic Energy, Beijing (China)

2007-08-15T23:59:59.000Z

153

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

154

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":""}]}

155

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.

156

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

157

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

158

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

159

Effects of internal gain assumptions in building energy calculations  

DOE Green Energy (OSTI)

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

Christensen, C.; Perkins, R.

1981-01-01T23:59:59.000Z

160

Unifying classical and quantum key distillation  

E-Print Network (OSTI)

Assume that two distant parties, Alice and Bob, as well as an adversary, Eve, have access to (quantum) systems prepared jointly according to a tripartite state ?ABE. In addition, Alice and Bob can use local operations and authenticated public classical communication. Their goal is to establish a key which is unknown to Eve. We initiate the study of this scenario as a unification of two standard scenarios: (i) key distillation (agreement) from classical correlations and (ii) key distillation from pure tripartite quantum states. Firstly, we obtain generalisations of fundamental results related to scenarios (i) and (ii), including upper bounds on the key rate, i.e., the number of key bits that can be extracted per copy of ?ABE. Moreover, based on an embedding of classical distributions into quantum states, we are able to find new connections between protocols and quantities in the standard scenarios (i) and (ii). Secondly, we study specific properties of key distillation protocols. In particular, we show that every protocol that makes use of pre-shared key can be transformed into an equally efficient protocol which needs no pre-shared key. This result is of practical significance as it applies to quantum key distribution (QKD) protocols, but it also implies that the key rate cannot be locked with information on Eve’s side. Finally, we exhibit an arbitrarily large separation between the key rate in the standard setting where Eve is equipped with quantum memory and the key rate in a setting where Eve is only given classical memory. This shows that assumptions on the nature of Eve’s memory are important in order to determine the correct security threshold in QKD. 1

Matthias Christ; Renato Renner

2008-01-01T23:59:59.000Z

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


161

Assumptions to the Annual Energy Outlook - 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.

162

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.

163

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.

164

China's Coal: Demand, Constraints, and Externalities  

Science Conference Proceedings (OSTI)

This study analyzes China's coal industry by focusing on four related areas. First, data are reviewed to identify the major drivers of historical and future coal demand. Second, resource constraints and transport bottlenecks are analyzed to evaluate demand and growth scenarios. The third area assesses the physical requirements of substituting coal demand growth with other primary energy forms. Finally, the study examines the carbon- and environmental implications of China's past and future coal consumption. There are three sections that address these areas by identifying particular characteristics of China's coal industry, quantifying factors driving demand, and analyzing supply scenarios: (1) reviews the range of Chinese and international estimates of remaining coal reserves and resources as well as key characteristics of China's coal industry including historical production, resource requirements, and prices; (2) quantifies the largest drivers of coal usage to produce a bottom-up reference projection of 2025 coal demand; and (3) analyzes coal supply constraints, substitution options, and environmental externalities. Finally, the last section presents conclusions on the role of coal in China's ongoing energy and economic development. China has been, is, and will continue to be a coal-powered economy. In 2007 Chinese coal production contained more energy than total Middle Eastern oil production. The rapid growth of coal demand after 2001 created supply strains and bottlenecks that raise questions about sustainability. Urbanization, heavy industrial growth, and increasing per-capita income are the primary interrelated drivers of rising coal usage. In 2007, the power sector, iron and steel, and cement production accounted for 66% of coal consumption. Power generation is becoming more efficient, but even extensive roll-out of the highest efficiency units would save only 14% of projected 2025 coal demand for the power sector. A new wedge of future coal consumption is likely to come from the burgeoning coal-liquefaction and chemicals industries. If coal to chemicals capacity reaches 70 million tonnes and coal-to-liquids capacity reaches 60 million tonnes, coal feedstock requirements would add an additional 450 million tonnes by 2025. Even with more efficient growth among these drivers, China's annual coal demand is expected to reach 3.9 to 4.3 billion tonnes by 2025. Central government support for nuclear and renewable energy has not reversed China's growing dependence on coal for primary energy. Substitution is a matter of scale: offsetting one year of recent coal demand growth of 200 million tonnes would require 107 billion cubic meters of natural gas (compared to 2007 growth of 13 BCM), 48 GW of nuclear (compared to 2007 growth of 2 GW), or 86 GW of hydropower capacity (compared to 2007 growth of 16 GW). Ongoing dependence on coal reduces China's ability to mitigate carbon dioxide emissions growth. If coal demand remains on a high growth path, carbon dioxide emissions from coal combustion alone would exceed total US energy-related carbon emissions by 2010. Within China's coal-dominated energy system, domestic transportation has emerged as the largest bottleneck for coal industry growth and is likely to remain a constraint to further expansion. China has a low proportion of high-quality reserves, but is producing its best coal first. Declining quality will further strain production and transport capacity. Furthermore, transporting coal to users has overloaded the train system and dramatically increased truck use, raising transportation oil demand. Growing international imports have helped to offset domestic transport bottlenecks. In the long term, import demand is likely to exceed 200 million tonnes by 2025, significantly impacting regional markets.

Aden, Nathaniel; Fridley, David; Zheng, Nina

2009-07-01T23:59:59.000Z

165

EIA Energy Kids - Coal  

U.S. Energy Information Administration (EIA)

Sometimes, coal-fired electric power plants are built near coal mines to lower ... industries and businesses with their own power plants use coal to generate ...

166

Coal industry annual 1994  

SciTech Connect

This report presents data on coal consumption, distribution, coal stocks, quality, prices, coal production information, and emissions for a wide audience.

NONE

1995-10-01T23:59:59.000Z

167

Unifying classical and quantum key distillation  

E-Print Network (OSTI)

Assume that two distant parties, Alice and Bob, as well as an adversary, Eve, have access to (quantum) systems prepared jointly according to a tripartite state. In addition, Alice and Bob can use local operations and authenticated public classical communication. Their goal is to establish a key which is unknown to Eve. We initiate the study of this scenario as a unification of two standard scenarios: (i) key distillation (agreement) from classical correlations and (ii) key distillation from pure tripartite quantum states. Firstly, we obtain generalisations of fundamental results related to scenarios (i) and (ii), including upper bounds on the key rate. Moreover, based on an embedding of classical distributions into quantum states, we are able to find new connections between protocols and quantities in the standard scenarios (i) and (ii). Secondly, we study specific properties of key distillation protocols. In particular, we show that every protocol that makes use of pre-shared key can be transformed into an equally efficient protocol which needs no pre-shared key. This result is of practical significance as it applies to quantum key distribution (QKD) protocols, but it also implies that the key rate cannot be locked with information on Eve's side. Finally, we exhibit an arbitrarily large separation between the key rate in the standard setting where Eve is equipped with quantum memory and the key rate in a setting where Eve is only given classical memory. This shows that assumptions on the nature of Eve's memory are important in order to determine the correct security threshold in QKD.

Matthias Christandl; Artur Ekert; Michal Horodecki; Pawel Horodecki; Jonathan Oppenheim; Renato Renner

2006-08-25T23:59:59.000Z

168

FE Clean Coal News | Department of Energy  

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

Clean Coal News Clean Coal News FE Clean Coal News RSS February 9, 2009 DOE Award Results in Several Patents, Potential Increased Coal Recovery A $13 million cooperative effort with the Office of Fossil Energy's National Energy Technology Laboratory (NETL) over the past seven years has resulted in the successful demonstration of a novel technology that addresses a problem plaguing coal operators and environmentalists alike: separating fine coal particles from water and their ultimate use as a significant energy resource. February 5, 2009 SECA Fuel Cell Program Moves Two Key Projects Into Next Phase The U.S. Department of Energy has selected two projects for continuation within the Department's Solid State Energy Conversion Alliance (SECA) Program research portfolio. February 3, 2009

169

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

170

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

171

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.

172

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.

173

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.

174

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Mtce) AAGR Coal Raw Crude Oil Primary Electricity NaturalFuel Shares * Coal Raw Crude Oil Primary Electricity NaturalOthers Others Total Total Crude Oil Production by Region (

Levine, Mark

2013-01-01T23:59:59.000Z

175

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Mtce) AAGR Coal Raw Crude Oil Primary Electricity NaturalFuel Shares * Coal Raw Crude Oil Primary Electricity NaturalOthers Total Total Crude Oil Production by Region (1985-

Levine, Mark

2013-01-01T23:59:59.000Z

176

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Energy Production (Mtce) Coal Oil Natural Gas Nuclear Hydroby Source Shares* Coal Oil Natural Gas Nuclear Hydro WindSouth Korea Other Crude Oil Production by Region (1985-2010)

Levine, Mark

2013-01-01T23:59:59.000Z

177

The Key Agreement Schemes  

Science Conference Proceedings (OSTI)

... The three key derivation functions include KDF in Counter Mode, KDF in Feedback Mode, and KDF in Double-Pipeline Iteration Mode. ...

2013-04-23T23:59:59.000Z

178

Crypto Key Management Framework  

Science Conference Proceedings (OSTI)

... responsible to executive-level management (eg, the Chief Information Officer) for the ... entity information, keys, and metadata into a database used by ...

2013-08-15T23:59:59.000Z

179

NETL: Clean Coal Demonstrations - Coal 101  

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

Knocking the NOx Out of Coal Clean Coal 101 Lesson 3: Knocking the NOx Out of Coal How NOx Forms NOx Formation Air is mostly nitrogen molecules (green in the above diagram) and...

180

Coal and bituminous reserves  

SciTech Connect

Chapter 5 of this book contains sections entitled: other coal processes; underground processing of coal; and other important energy sources.

NONE

2008-02-15T23:59:59.000Z

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

Cryptographic Key Management Workshop 2010  

Science Conference Proceedings (OSTI)

Cryptographic Key Management Workshop 2010. Purpose: ... Related Project(s): Cryptographic Key Management Project. Details: ...

2013-08-01T23:59:59.000Z

182

Regional Supply Outlook for Market Driver Coals: A New Set of Fundamentals?  

Science Conference Proceedings (OSTI)

Coal prices have peaked twice since 2000 and have yet to return to pre-2000 levels. In the wake of this volatility, this report examines how coal supply fundamentals are changing for key "market-driver" coals and how these changes impact future markets for coal. Many believe the power industry will be able to use a broader range of cheaper, more abundant coals once tighter environmental requirements force additional technology controls around the country. Contrary to this belief, this report provides evi...

2003-11-20T23:59:59.000Z

183

Greater Risk in Coal Supply and Price -- Need to Revisit Coal Procurement  

Science Conference Proceedings (OSTI)

Although spot coal prices have declined significantly from the peaks reached during 2001, they remain above pre-spike levels. This report provides analysis and perspective on the implications and likely long-term effects of the spike in spot coal prices that occurred in late 2000 and 2001. The report analyzes factors that will continue to exert upward pressure on coal prices over the next several years, key uncertainties relating to the future balance between coal supply and demand, and strategies for ma...

2002-12-03T23:59:59.000Z

184

Coal-fired generation staging a comeback. 2nd ed.  

Science Conference Proceedings (OSTI)

The report is an overview of the renewed U.S. market interest in coal-fired power generation. It provides a concise look at what is driving interest in coal-fired generation, the challenges faced in implementing coal-fired generation projects, and the current and future state of coal-fired generation. Topics covered in the report include: An overview of coal-fired generation including its history, the current market environment, and its future prospects; An analysis of the key business factors that are driving renewed interest in coal-fired generation; An analysis of the challenges that are hindering the implementation of coal-fired generation projects; A description of coal-fired generation technologies; A review of the economic drivers of coal-fired generation project success; An evaluation of coal-fired generation versus other generation technologies; A discussion of the key government initiatives supporting new coal-fired generation; and A listing of planned coal-fired generation projects. 13 figs., 12 tabs., 1 app.

NONE

2007-07-01T23:59:59.000Z

185

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

186

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.

187

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

188

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.

189

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].

190

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

191

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

192

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

193

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

194

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

195

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

196

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.

197

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.

198

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).

199

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.

200

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.

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

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.

202

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

203

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

204

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

205

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.

206

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

207

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,

208

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

209

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

210

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

211

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

212

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

Science Conference Proceedings (OSTI)

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

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

2010-11-01T23:59:59.000Z

213

DESULFURIZATION OF COAL MODEL COMPOUNDS AND COAL LIQUIDS  

E-Print Network (OSTI)

Pollutants Associated With Coal Combustion. • E.P.A.Control Guidelines for Coal-Derived Pollutants .Forms of Sulfur in Coal • . . . . Coal Desulfurization

Wrathall, James Anthony

2011-01-01T23:59:59.000Z

214

University Coal Research | Department of Energy  

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

Science & Innovation Clean Coal Crosscutting Research University Coal Research University Coal Research Clean Coal Turbines Gasification Fuel Cells Hydrogen from Coal Coal...

215

O A L Section 2. Coal  

U.S. Energy Information Administration (EIA)

Section 2. Coal Coal prices are developed for the following three categories: coking coal; steam coal (all noncoking coal); and coal coke imports and exports.

216

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

SciTech Connect

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

Walsh, Stephen J.; Whitney, Paul D.

2012-12-14T23:59:59.000Z

217

Optical key system  

Science Conference Proceedings (OSTI)

An optical key system comprises a battery-operated optical key and an isolated lock that derives both its operating power and unlock signals from the correct optical key. A light emitting diode or laser diode is included within the optical key and is connected to transmit a bit-serial password. The key user physically enters either the code-to-transmit directly, or an index to a pseudorandom number code, in the key. Such person identification numbers can be retained permanently, or ephemeral. When a send button is pressed, the key transmits a beam of light modulated with the password information. The modulated beam of light is received by a corresponding optical lock with a photovoltaic cell that produces enough power from the beam of light to operate a password-screen digital logic. In one application, an acceptable password allows a two watt power laser diode to pump ignition and timing information over a fiberoptic cable into a sealed engine compartment. The receipt of a good password allows the fuel pump, spark, and starter systems to each operate. Therefore, bypassing the lock mechanism as is now routine with automobile thieves is pointless because the engine is so thoroughly disabled.

Hagans, K.G.; Clough, R.E.

2000-04-25T23:59:59.000Z

218

Optical key system  

DOE Patents (OSTI)

An optical key system comprises a battery-operated optical key and an isolated lock that derives both its operating power and unlock signals from the correct optical key. A light emitting diode or laser diode is included within the optical key and is connected to transmit a bit-serial password. The key user physically enters either the code-to-transmit directly, or an index to a pseudorandom number code, in the key. Such person identification numbers can be retained permanently, or ephemeral. When a send button is pressed, the key transmits a beam of light modulated with the password information. The modulated beam of light is received by a corresponding optical lock with a photovoltaic cell that produces enough power from the beam of light to operate a password-screen digital logic. In one application, an acceptable password allows a two watt power laser diode to pump ignition and timing information over a fiberoptic cable into a sealed engine compartment. The receipt of a good password allows the fuel pump, spark, and starter systems to each operate. Therefore, bypassing the lock mechanism as is now routine with automobile thieves is pointless because the engine is so thoroughly disabled.

Hagans, Karla G. (Livermore, CA); Clough, Robert E. (Danville, CA)

2000-01-01T23:59:59.000Z

219

Economics of producing substitute natural gas from coal. Occasional pub  

Science Conference Proceedings (OSTI)

Using the cost levelization approach, the economics of producing substitute natural gas (SNG) are examined under different assumptions regarding conversion technologies, coal types and plant financing. A comparison of levelized constant dollar cost-of-service price estimated for Westinghouse and dry bottom Lurgi processes for 1990-2019 shows that SNG from coal produced at western sites is competitive with natural gas and fuel oils.

Rosenberg, J.I.; Ashby, A.B.

1983-07-01T23:59:59.000Z

220

SR Key Facts  

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

Key Facts Savannah River Site Budget FY 2011 Budget Summary FY 2011 SRS EM Program Budget Summary FY 2012 Presidential Budget Request for SRS FY 2014 SRS EM Budget Presentation...

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

Key masking using biometry  

Science Conference Proceedings (OSTI)

We construct an abstract model based on a fundamental similarity property, which takes into account parametric dependencies and reflects a specific collection of requirements. We consider a method for masking a cryptographic key using biometry, which ...

A. L. Chmora

2011-06-01T23:59:59.000Z

222

Key Emergency Information  

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

Key Emergency Information What to Do if an Emergency Arises DOE is committed to public safety in the event an emergency arises. You will likely be made aware that an emergency is...

223

2012 Brief: Coal prices and production in most basins down in 2012 ...  

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, demand & emissions. ... two key sources for thermal coal, through the summer.

224

Coal Bed Methane Primer  

SciTech Connect

During the second half of the 1990's Coal Bed Methane (CBM) production increased dramatically nationwide to represent a significant new source of income and natural gas for many independent and established producers. Matching these soaring production rates during this period was a heightened public awareness of environmental concerns. These concerns left unexplained and under-addressed have created a significant growth in public involvement generating literally thousands of unfocused project comments for various regional NEPA efforts resulting in the delayed development of public and fee lands. The accelerating interest in CBM development coupled to the growth in public involvement has prompted the conceptualization of this project for the development of a CBM Primer. The Primer is designed to serve as a summary document, which introduces and encapsulates information pertinent to the development of Coal Bed Methane (CBM), including focused discussions of coal deposits, methane as a natural formed gas, split mineral estates, development techniques, operational issues, producing methods, applicable regulatory frameworks, land and resource management, mitigation measures, preparation of project plans, data availability, Indian Trust issues and relevant environmental technologies. An important aspect of gaining access to federal, state, tribal, or fee lands involves education of a broad array of stakeholders, including land and mineral owners, regulators, conservationists, tribal governments, special interest groups, and numerous others that could be impacted by the development of coal bed methane. Perhaps the most crucial aspect of successfully developing CBM resources is stakeholder education. Currently, an inconsistent picture of CBM exists. There is a significant lack of understanding on the parts of nearly all stakeholders, including industry, government, special interest groups, and land owners. It is envisioned the Primer would being used by a variety of stakeholders to present a consistent and complete synopsis of the key issues involved with CBM. In light of the numerous CBM NEPA documents under development this Primer could be used to support various public scoping meetings and required public hearings throughout the Western States in the coming years.

Dan Arthur; Bruce Langhus; Jon Seekins

2005-05-25T23:59:59.000Z

225

Climate VISION: Events - Advanced Clean Coal Workshop  

Office of Scientific and Technical Information (OSTI)

Advanced Clean Coal Workshop Advanced Clean Coal Workshop Objective: Industry and government discussion of key issues and policy options related to deploying clean coal power plants in the marketplace. The following documents are available for download as Adobe PDF documents. Download Acrobat Reader AGENDA July 29, 2004 EEI Conference Center 701 Pennsylvania Avenue, N.W., Washington, DC 8:15 Welcome from Host Thomas Kuhn, President, EEI Opening (Context & Goals) & Introduction Larisa Dobriansky, DOE Kyle McSlarrow, Deputy Secretary, DOE James E. Rogers, Chairman, Cinergy 8:45 Framing the Risks and Challenges for Commercial Clean Coal Plants Results of Risk Framework Analysis, David Berg, DOE (PDF 267 KB) Cost Comparison of IGCC and Advanced Clean Coal Plants, Stu Dalton, EPRI (PDF 684 KB)

226

What were the key energy commodity price trends in 2011?  

Reports and Publications (EIA)

Energy commodity price trends varied widely during 2011. Crude oil and petroleum products prices increased during 2011, while natural gas, coal, and electricity prices declined. This article provides an overview of key energy commodity price trends in 2011 based on prices seen in futures markets.

2012-02-14T23:59:59.000Z

227

Coal gasification  

Science Conference Proceedings (OSTI)

A standard series of two staged gas generators (GG) has been developed in the United States for producing gas with a combustion heat from 4,700 to 7,600 kilojoules per cubic meter from coal (U). The diameter of the gas generators is from 1.4 to 3.65 meters and the thermal capacity based on purified cold gas is from 12.5 to 89 million kilojoules per hour. Certain standard sized gas generators have undergone experimental industrial tests which showed that it is most expedient to feed the coal into the gas generators pneumatically. This reduces the dimensions of the charging device, makes it possible to use more common grades of structural steels and reduces the cost of the gas. A double valve reliably prevents ejections of the gasification product and promotes the best distribution of the coal in the gas generator. The gas generators may successfully operate on high moisture (up to 36 percent) brown coal. Blasting with oxygen enriched to 38 percent made it possible to produce a gas with a combustion heat of 9,350 kilojoules per cubic meter. This supports a combustion temperature of 1,700C.

Rainey, D.L.

1983-01-01T23:59:59.000Z

228

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.

229

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.

230

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.

231

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.

232

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.

233

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

234

Assumptions to the Annual Energy Outlook 1999 - Table 2  

Gasoline and Diesel Fuel Update (EIA)

Carbon Emission Factors (Kilograms-carbon per million Btu) Carbon Emission Factors (Kilograms-carbon per million Btu) Fuel Type Carbon Coefficient at Full Combustion Combustion Fraction Adjusted Emissions Factor Petroleum Motor Gasoline 19.35 0.990 19.16 Liquefied Petroleum Gas Used as Fuel 16.87 0.995 16.79 Used as Feedstock 17.11 0.200 3.42 Jet Fuel 19.33 0.990 19.14 Distillate Fuel 19.95 0.990 19.75 Residual Fuel 21.49 0.990 21.28 Asphalt and Road Oil 20.62 0.000 0.00 Lubricants 20.24 0.600 12.14 Petrochemical Feedstocks 19.37 0.200 3.87 Kerosene 19.72 0.990 19.52 Petroleum Coke 27.85 0.500 13.93 Petroleum Still Gas 17.51 0.995 17.42 Other Industrial 20.31 0.990 20.11 Coal Residential and Commercial 25.92 0.990 25.74 Metallurgical 25.55 0.990 25.28 Industrial Other 25.61 0.990 25.38 Electric Utility1 25.74 0.990 25.48 Natural Gas Used as Fuel

235

Coal industry annual 1997  

Science Conference Proceedings (OSTI)

Coal Industry Annual 1997 provides comprehensive information about US coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves. US Coal production for 1997 and previous years is based on the annual survey EIA-7A, Coal Production Report. This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report includes a national total coal consumption for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. 14 figs., 145 tabs.

NONE

1998-12-01T23:59:59.000Z

236

Coal industry annual 1996  

Science Conference Proceedings (OSTI)

This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States.This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 24 million short tons for 1996. 14 figs., 145 tabs.

NONE

1997-11-01T23:59:59.000Z

237

Coal Industry Annual 1995  

SciTech Connect

This report presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 21 million short tons for 1995.

1996-10-01T23:59:59.000Z

238

Spot coal price trends vary across key basins during 2013 ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

239

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

240

Microbial solubilization of coal  

DOE Patents (OSTI)

The present invention relates to a cell-free preparation and process for the microbial solubilization of coal into solubilized coal products. More specifically, the present invention relates to bacterial solubilization of coal into solubilized coal products and a cell-free bacterial byproduct useful for solubilizing coal. 5 tabs.

Strandberg, G.W.; Lewis, S.N.

1988-01-21T23:59:59.000Z

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

ARM - Key Science Questions  

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

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

242

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Total Oven Gas Coke Source Products Petroleum IndigenousTotal Oven Gas Coke Source Products Petroleum IndigenousConsumption by Source Shares Coal Use Petroleum Natural Gas

Levine, Mark

2013-01-01T23:59:59.000Z

243

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Supply Coal Washing Coking Petroleum Refineries Gas WorksMt Diesel Oil Fuel Oil Gasoline Kerosene Liquid PetroleumGas Petroleum Other Products Refinery Production by Product

Levine, Mark

2013-01-01T23:59:59.000Z

244

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Gas Works Gas Works - Coke input Briquettes Losses incoal, washed coal, briquettes) and derived fuels (coke,coke oven gas, and other coking products). Crude oil

Levine, Mark

2013-01-01T23:59:59.000Z

245

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

Science Conference Proceedings (OSTI)

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

Kuan-Man Xu

1994-12-01T23:59:59.000Z

246

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

Science Conference Proceedings (OSTI)

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

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

1999-06-01T23:59:59.000Z

247

Key Research Results Achievement  

E-Print Network (OSTI)

daylighting options for specific spaces with sample design layouts · Various HVAC system types that achieve%energysavingsovercode.NREL developedthesimulationtoolsandledthe committeethatproducedtheguides. Key Result TheAdvanced school in Greensburg, Kansas, used many of the energy efficiency measures outlined in the Advanced Energy

248

Coal transportation risks for fuel switching decisions  

SciTech Connect

Coal switching costs are generally expected to be the single largest cost factor associated with switching coals to low-sulfur sources. This report analyzes the principal issues and risks involved in moving Powder River Basin coal to eastern destinations and in moving increased amounts of Central Appalachian low-sulfur coal along the Ohio River. The railroad infrastructure for Powder River Basin coal is essentially optimized for current levels of traffic, yet estimated shipments will expand by 100 million tons over the next ten years. A critical issue is the magnitude and timing of investments in the railroad system required to maintain quality of service. Costs for rail and barge transport are comparable at present, yet they have different abilities to handle increased traffic. Negotiated rates will not be uniform and will change with the dynamics of investments and the clarification of utility compliance plans. Coal traffic patterns on inland waterways will change in order to handle barge movements for both Powder River Basin and Central Appalachian low-sulfur coals. Docks serving Central Appalachian coal fields have ample capacity, but originations will take place increasingly far from the rivers. Potential bottlenecks at specific locks and dams along the Ohio River have been identified. With the barge industry coming out of a slump, future barge rates will depend critically on the Corps of Engineers' schedule to upgrade key facilities. 30 figs., 14 tabs.

Toth, S. (Fieldston Co., Inc., Washington, DC (United States))

1991-09-01T23:59:59.000Z

249

Preparation for upgrading western subbituminous coal  

SciTech Connect

The objective of this project was to establish the physical and chemical characteristics of western coal and determine the best preparation technologies for upgrading this resource. Western coal was characterized as an abundant, easily mineable, clean, low-sulfur coal with low heating value, high moisture, susceptibility to spontaneous ignition, and considerable transit distances from major markets. Project support was provided by the Morgantown Energy Technology Center (METC) of the US Department of Energy (DOE). The research was conducted by the Western Research Institute, (WRI) in Laramie, Wyoming. The project scope of work required the completion of four tasks: (1) project planning, (2) literature searches and verbal contacts with consumers and producers of western coal, (3) selection of the best technologies to upgrade western coal, and (4) identification of research needed to develop the best technologies for upgrading western coals. The results of this research suggest that thermal drying is the best technology for upgrading western coals. There is a significant need for further research in areas involving physical and chemical stabilization of the dried coal product. Excessive particle-size degradation and resulting dustiness, moisture reabsorption, and high susceptibility to spontaneous combustion are key areas requiring further research. Improved testing methods for the determination of equilibrium moisture and susceptibility to spontaneous ignition under various ambient conditions are recommended.

Grimes, R.W.; Cha, C.Y.; Sheesley, D.C.

1990-11-01T23:59:59.000Z

250

Coal liquefaction and hydrogenation  

DOE Patents (OSTI)

Disclosed is a coal liquefaction process using two stages. The first stage liquefies the coal and maximizes the product while the second stage hydrocracks the remainder of the coal liquid to produce solvent.

Schindler, Harvey D. (Fair Lawn, NJ); Chen, James M. (Edison, NJ)

1985-01-01T23:59:59.000Z

251

Coal industry annual 1993  

Science Conference Proceedings (OSTI)

Coal Industry Annual 1993 replaces the publication Coal Production (DOE/FIA-0125). This report presents additional tables and expanded versions of tables previously presented in Coal Production, including production, number of mines, Productivity, employment, productive capacity, and recoverable reserves. This report also presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for a wide audience including the Congress, Federal and State agencies, the coal industry, and the general public. In addition, Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility Power Producers who are not in the manufacturing, agriculture, mining, construction, or commercial sectors. This consumption is estimated to be 5 million short tons in 1993.

Not Available

1994-12-06T23:59:59.000Z

252

Assumptions to the Annual Energy Outlook 2001 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

253

Assumptions to the Annual Energy Outlook 1999 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

macroeconomic.gif (5367 bytes) macroeconomic.gif (5367 bytes) The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994).

254

Assumptions to the Annual Energy Outlook 2002 - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module

255

Assumptions to the Annual Energy Outlook 2000 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065, (Washington, DC, February 1994), plus Macroeconomic Activity Module (MAM): Kernel Regression Documentation of the National Energy Modeling System 1999, DOE/EIA-M065(99), Washington, DC, 1999).

256

Coal Mine Safety on Environmental Sustainability Based on Behavior Science  

Science Conference Proceedings (OSTI)

Safety is one of the key problems people concern about most not only at present but also in the future. Currently there are many hidden troubles threatening safety. Particularly, the safety problems in coal mines are very serious and in great need of ... Keywords: coal mine safety, environmental sustainability, Behavior Science, positive behavior, negative behavior, incentive system

Xinjuan Li

2009-07-01T23:59:59.000Z

257

CAPITAL AND OPERATING COST OF HYDROGEN PRODUCTION FROM COAL GASIFICATI...  

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

8 Coal Using Preliminary Assumptions 2-15 2.5.1 Approach to Cost Estimating 2-16 2.5.2 Production Costs (Operation and Maintenance) 2-16 2.5.3 Consumables 2-17 2.5.4 Byproduct...

258

Coal Use in Petroleum Refineries -- Opportunities and Issues  

Science Conference Proceedings (OSTI)

This report is a brief review of the technologies and key issues involved in considering the use of coal as a replacement, supplemental, or additional fuel in petroleum refineries.

2002-10-21T23:59:59.000Z

259

Coal Distribution Database, 2006  

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

2009 Final February 2011 2 Overview of 2009 Coal Distribution Tables Introduction The Coal Distribution Report - Annual provides detailed information on domestic coal distribution by origin state, destination state, consumer category, and method of transportation. Also provided is a summary of foreign coal distribution by coal-producing State. This Final 2009 Coal Distribution Report - Annual, supersedes the data contained in the four Quarterly Coal Distribution Reports previously issued for 2009. This report relies on the most current data available from EIA's various monthly, quarterly and annual surveys of the coal industry and electric power generation industry. In addition, the report

260

2014 Coal Form Proposals  

U.S. Energy Information Administration (EIA)

Coal Survey Form Changes Proposed for 2014. The U.S. Energy Information Administration (EIA) has begun the process of re-clearing the coal survey ...

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

Coal Mining (Iowa)  

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

These sections describe procedures for coal exploration and extraction, as well as permitting requirements relating to surface and underground coal mining. These sections also address land...

262

Coal News and Markets  

U.S. Energy Information Administration (EIA)

Coal Prices (updated December 27, 2006) This report summarizes spot coal prices for the business weeks ended December 1, 8, and 15.

263

Annual Coal Report 2001  

U.S. Energy Information Administration (EIA)

DOE/EIA-0584 (2001) Annual Coal Report 2001 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy

264

Coal News and Markets  

U.S. Energy Information Administration (EIA)

Metallurgical coal markets became volatile when the thriving Chinese steel industry in late 2003 and 2004 made outsized demands for coking coal and met coke, ...

265

Annual Coal Distribution Report  

Gasoline and Diesel Fuel Update (EIA)

Annual Coal Distribution Report Release Date: December 19, 2013 | Next Release Date: November 2014 | full report | RevisionCorrection Revision to the Annual Coal Distribution...

266

Biennial Assessment of the Fifth Power Plan Interim Report on Fuel Price Assumptions  

E-Print Network (OSTI)

The Fifth Power Plan includes price forecasts for natural gas, oil, and coal. Natural gas prices have by far and natural gas prices have put some pressure on coal prices as well, although they remain lower capacity to deliver the coal and higher oil prices increased the delivery costs as well. Both natural gas

267

AP Key Accomplishments  

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

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

268

American Coal Council 2004 Spring Coal Forum  

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

American Coal Council American Coal Council 2004 Spring Coal Forum Dallas, Texas May 17-19, 2004 Thomas J. Feeley, III Technology Manager National Energy Technology Laboratory ACC Spring Coal Forum, 2004 Presentation Outline * Background * Power plant-water issues * DOE/NETL R&D program * Conclusion/future plans ACC Spring Coal Forum, 2004 Global Water Availability Ocean 97% Fresh Water 2.5% 0 20 40 60 80 100 Ice Groundwater Lakes and Rivers ACC Spring Coal Forum, 2004 Three Things Power Plants Require 1) Access to transmission lines 2) Available fuel, e.g., coal or natural gas 3) Water ACC Spring Coal Forum, 2004 Freshwater Withdrawals and Consumption Mgal / Day Irrigation 81,300 Irrigation 81,300 Thermoelectric 3,310 Consumption Sources: "Estimated Use of Water in the United States in 1995," USGS Circular 1200, 1998

269

NETL: Clean Coal Demonstrations - Coal 101  

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

Clean Coal Technology Program Clean Coal Technology Program Clean Coal 101 Lesson 2: The Clean Coal Technology Program The Clean Coal Technology Program began in 1985 when the United States and Canada decided that something had to be done about the "acid rain" that was believed to be damaging rivers, lakes, forests, and buildings in both countries. Since many of the pollutants that formed "acid rain" were coming from big coal-burning power plants in the United States, the U.S. Government took the lead in finding a solution. One of the steps taken by the U.S. Department of Energy was to create a partnership program between the Government, several States, and private companies to test new methods developed by scientists to make coal burning much cleaner. This became the "Clean Coal Technology Program."

270

NETL: Coal & Coal Biomass to Liquids  

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

Coal Biomass to Liquids Hydrogen-from-Coal RD&D ENERGY ANALYSIS About Us Search Products Contacts SMART GRID ANALYSIS BASELINE STUDIES QUALITY GUIDELINES NETL-RUA About NETL-RUA...

271

Coal Combustion Products | Department of Energy  

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

Coal Combustion Products Coal Combustion Products Coal combustion products (CCPs) are solid materials produced when coal is burned to generate electricity. Since coal provides the...

272

Clean Coal Research | Department of Energy  

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

Clean Coal Research Clean Coal Research Clean Coal Turbines Gasification Fuel Cells Hydrogen from Coal Coal to Liquids Major Demonstrations Crosscutting Research Carbon Capture and...

273

Coal liquefaction  

DOE Patents (OSTI)

In a two-stage liquefaction wherein coal, hydrogen and liquefaction solvent are contacted in a first thermal liquefaction zone, followed by recovery of an essentially ash free liquid and a pumpable stream of insoluble material, which includes 850.degree. F.+ liquid, with the essentially ash free liquid then being further upgraded in a second liquefaction zone, the liquefaction solvent for the first stage includes the pumpable stream of insoluble material from the first liquefaction stage, and 850.degree. F.+ liquid from the second liquefaction stage.

Schindler, Harvey D. (Fairlawn, NJ)

1985-01-01T23:59:59.000Z

274

Cryptographic Key Management Workshop 2012  

Science Conference Proceedings (OSTI)

Cryptographic Key Management Workshop 2012. Purpose: NIST is conducting a two-day Key Management Workshop on September 10-11. ...

2013-08-01T23:59:59.000Z

275

Methodology for Managing the Handling and Combustion of Spot Coal  

Science Conference Proceedings (OSTI)

Fuel purchases can constitute 80 percent of generation costs for a coal-fired power plant. Therefore, reducing fuel costs is often a key strategy for reducing generation costs. Power producers have found the spot coal market to be a viable option for filling the gaps in a plant's coal supply portfolio. On average, over the last 10 years, approximately 33 percent of the coal purchased was in the form of spot contracts. While lower quality, cheaper fuels reduce fuel costs; unit capacity, availability, and ...

2007-12-20T23:59:59.000Z

276

Subbituminous and bituminous coal dominate U.S. coal ...  

U.S. Energy Information Administration (EIA)

While almost all coal consumed in the United States is used to generate electricity (90% in 2010), coal is not entirely homogeneous. Coal is ...

277

NETL: Coal & Coal Biomass to Liquids - Alternate Hydrogen Production  

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

Coal and CoalBiomass to Liquids Alternate Hydrogen Production In the Alternate Production technology pathway, clean syngas from coal is converted to high-hydrogen-content liquid...

278

The Effect of Circulating Coal Slurry Water Hardness on Coal ...  

Science Conference Proceedings (OSTI)

In order to investigate the effect of gypsum on flotation and coal slurry settling during coal slurry recirculation, the water hardness and proton conductivity of coal ...

279

Coal Tar and Bedrock  

Science Conference Proceedings (OSTI)

The characterization of bedrock groundwater and coal tar impacts is one of the most complicated tasks associated with managing manufactured gas plant (MGP) sites. This report provides an overview of the fate and transport of coal tar in bedrock and the methods available to investigate coal tar at particular sites and discusses how to develop a decision-making framework for coal tar investigations.

2007-02-22T23:59:59.000Z

280

Coal gasification for power generation. 2nd ed.  

SciTech Connect

The report gives an overview of the opportunities for coal gasification in the power generation industry. It provides a concise look at the challenges faced by coal-fired generation, the ability of coal gasification to address these challenges, and the current state of IGCC power generation. Topics covered in the report include: An overview of coal generation including its history, the current market environment, and the status of coal gasification; A description of gasification technology including processes and systems; An analysis of the key business factors that are driving increased interest in coal gasification; An analysis of the barriers that are hindering the implementation of coal gasification projects; A discussion of Integrated Gasification Combined Cycle (IGCC) technology; An evaluation of IGCC versus other generation technologies; A discussion of IGCC project development options; A discussion of the key government initiatives supporting IGCC development; Profiles of the key gasification technology companies participating in the IGCC market; and A description of existing and planned coal IGCC projects.

2006-10-15T23:59:59.000Z

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


281

EIA -Quarterly Coal Distribution  

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

Coal Distribution Coal Distribution Home > Coal> Quarterly Coal Distribution Back Issues Quarterly Coal Distribution Archives Release Date: June 27, 2013 Next Release Date: September 2013 The Quarterly Coal Distribution Report (QCDR) provides detailed quarterly data on U.S. domestic coal distribution by coal origin, coal destination, mode of transportation and consuming sector. All data are preliminary and superseded by the final Coal Distribution - Annual Report. Year/Quarters By origin State By destination State Report Data File Report Data File 2009 January-March pdf xls pdf xls April-June pdf xls pdf xls July-September pdf xls pdf October-December pdf xls pdf 2010 January-March pdf xls pdf xls April-June pdf xls pdf xls July-September pdf xls pdf xls

282

Key China Energy Statistics 2011  

E-Print Network (OSTI)

Total Oven Gas Coke Source Products Petroleum IndigenousOven Gas Coke Source Products Petroleum bm 3 bm 3 Mt Mtby Source (1980-2009) AAGR Mtce Coal Use Petroleum Natural

Levine, Mark

2013-01-01T23:59:59.000Z

283

Key China Energy Statistics 2012  

E-Print Network (OSTI)

Petroleum Natural Gas Hydro Nuclear Fuel Wind Total PrimaryNatural Gas Hydro Nuclear Fuel Wind Total Final EnergyFuel Source (1980-2010) Mtce Coal Oil Natural Gas Hydro Nuclear

Levine, Mark

2013-01-01T23:59:59.000Z

284

NETL: Clean Coal Demonstrations - Coal 101  

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

A "Bed" for Burning Coal A "Bed" for Burning Coal Clean Coal 101 Lesson 4: A "Bed" for Burning Coal? It was a wet, chilly day in Washington DC in 1979 when a few scientists and engineers joined with government and college officials on the campus of Georgetown University to celebrate the completion of one of the world's most advanced coal combustors. It was a small coal burner by today's standards, but large enough to provide heat and steam for much of the university campus. But the new boiler built beside the campus tennis courts was unlike most other boilers in the world. A Fluidized Bed Boiler A Fluidized Bed Boiler In a fluidized bed boiler, upward blowing jets of air suspend burning coal, allowing it to mix with limestone that absorbs sulfur pollutants.

285

Prebaked Anode from Coal Extract  

Science Conference Proceedings (OSTI)

We previously reported that the coal extract prepared from non-hydrogenative extraction of thermal coals using two-ring-aromatic solvent (Hyper-coal) is suitable ...

286

Coal desulfurization with sodium hypochlorite.  

E-Print Network (OSTI)

??Wet desulfurization of Pittsburgh No. 8 coal and Illinois No. 6 coal were conducted with sodium hypochlorite in the laboratory. Pittsburgh No. 8 coal was… (more)

Li, Wei, M.S.

2004-01-01T23:59:59.000Z

287

New concept for coal wettability evaluation and modulation. Technical progress report, April 1, 1993--June 30, 1993  

SciTech Connect

This project is concerned with the new concept for coal surface wettability evaluation and modulation. The objective of the work is to study the fundamental surface chemistry features about the evaluation of the surface wettability of coal and pyrite and establish a new separation strategy which could contribute to the advanced coal-cleaning for premium fuel application. In the past quarter report, the capillary rise test results of three coal and mineral pyrite samples in distilled water, kerosene, and salt solution indicated that there are good agreements between the experimental observations and theoretical assumption. In this quarter, the further capillary rise tests were conducted for coal, pyrite and coal pyrite in distilled water, kerosene and benzene. The test results shown that surface wettability of coal, mineral pyrite, and coal pyrite have good correlation with the theoretical predictions.

Hu, W.

1993-09-01T23:59:59.000Z

288

Coal data: A reference  

SciTech Connect

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

Not Available

1995-02-01T23:59:59.000Z

289

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

E-Print Network (OSTI)

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

Lipman, Timothy

1999-01-01T23:59:59.000Z

290

NETL: Coal & Power Systems - Brief History of Coal Use  

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

History of Coal Coal & Power Systems Brief History of Coal Use Steam Locomotive In the 1800s, one of the primary uses of coal was to fuel steam engines used to power locomotives....

291

NETL: Coal & Coal Biomass to Liquids - Closely Aligned Programs  

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

Home > Technologies > C&CBTL > Closely Aligned Programs Coal and CoalBiomass to Liquids Closely Aligned Programs The Department of Energy's (DOE) Coal & CoalBiomass to Liquids...

292

Investigations into coal coprocessing and coal liquefaction  

DOE Green Energy (OSTI)

The conversion of coal to liquid suitable as feedstock to a petroleum refinery is dependent upon several process variables. These variables include temperature, pressure, coal rank, catalyst type, nature of the feed to the reactor, type of process, etc. Western Research Institute (WRI) has initiated a research program in the area of coal liquefaction to address the impact of some of these variables upon the yield and quality of the coal-derived liquid. The principal goal of this research is to improve the efficiency of the coal liquefaction process. Two different approaches are currently being investigated. These include the coprocessing of a heavy liquid, such as crude oil, and coal using a dispersed catalyst and the direct liquefaction of coal using a supported catalyst. Another important consideration in coal liquefaction is the utilization of hydrogen, including both externally- and internally-supplied hydrogen. Because the incorporation of externally-supplied hydrogen during conversion of this very aromatic fossil fuel to, for example, transportation fuels is very expensive, improved utilization of internally-supplied hydrogen can lead to reducing processing costs. The objectives of this investigation, which is Task 3.3.4, Coal Coprocessing, of the 1991--1992 Annual Research Plan, are: (1) to evaluate coal/oil pretreatment conditions that are expected to improve the liquid yield through more efficient dispersion of an oil-soluble, iron-based catalyst, (2) to characterize the coke deposits on novel, supported catalysts after coal liquefaction experiments and to correlate the carbon skeletal structure parameters of the coke deposit with catalyst performance as measured by coal liquefaction product yield, and (3) to determine the modes of hydrogen utilization during coal liquefaction and coprocessing. Experimental results are discussed in this report.

Guffey, F.D.; Netzel, D.A.; Miknis, F.P.; Thomas, K.P. [Western Research Inst., Laramie, WY (United States); Zhang, Tiejun; Haynes, H.W. Jr. [Wyoming Univ., Laramie, WY (United States). Dept. of Chemical Engineering

1994-06-01T23:59:59.000Z

293

DESULFURIZATION OF COAL MODEL COMPOUNDS AND COAL LIQUIDS  

E-Print Network (OSTI)

commercial (point sources) Coal Oil Other Area sourcesSource Stationary fuel combugtion Electric utilities Coal Oil

Wrathall, James Anthony

2011-01-01T23:59:59.000Z

294

Hydrogen from Coal  

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

Coal Coal Edward Schmetz Office of Sequestration, Hydrogen and Clean Coal Fuels U.S. Department of Energy DOE Workshop on Hydrogen Separations and Purification Technologies September 8, 2004 Presentation Outline ƒ Hydrogen Initiatives ƒ Hydrogen from Coal Central Production Goal ƒ Why Coal ƒ Why Hydrogen Separation Membranes ƒ Coal-based Synthesis Gas Characteristics ƒ Technical Barriers ƒ Targets ƒ Future Plans 2 3 Hydrogen from Coal Program Hydrogen from Coal Program FutureGen FutureGen Hydrogen Fuel Initiative Hydrogen Fuel Initiative Gasification Fuel Cells Turbines Gasification Fuel Cells Turbines Carbon Capture & Sequestration Carbon Capture & Sequestration The Hydrogen from Coal Program Supports the Hydrogen Fuel Initiative and FutureGen * The Hydrogen Fuel Initiative is a $1.2 billion RD&D program to develop hydrogen

295

International Energy Outlook - Coal  

Gasoline and Diesel Fuel Update (EIA)

Coal Coal International Energy Outlook 2004 Coal Although coal use is expected to be displaced by natural gas in some parts of the world, only a slight drop in its share of total energy consumption is projected by 2025. Coal continues to dominate fuel markets in developing Asia. Figure 52. World Coal Consumption, 1970-2025. Need help, call the National Energy Information Center at 202-586-8800. Figure Data Figure 53. Coal Share of World Energy Consumption by Sector, 2001 and 2025. Need help, call the National Energy Information Center at 202-586-8800. Figure Data Figure 54. Coal Share of Regional Energy Consumption, 1970-2025. Need help, call the National Energy Information Center at 202-586-8800. Figure Data World coal consumption has been in a period of generally slow growth since

296

Coal Distribution Database, 2006  

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

Domestic Distribution of U.S. Coal by Origin State, Domestic Distribution of U.S. Coal by Origin State, Consumer, Destination and Method of Transportation, 2009 Final February 2011 2 Overview of 2009 Coal Distribution Tables Introduction The Coal Distribution Report - Annual provides detailed information on domestic coal distribution by origin state, destination state, consumer category, and method of transportation. Also provided is a summary of foreign coal distribution by coal-producing State. This Final 2009 Coal Distribution Report - Annual, supersedes the data contained in the four Quarterly Coal Distribution Reports previously issued for 2009. This report relies on the most current data available from EIA's various monthly, quarterly and annual surveys

297

Outlook and challenges to coal in Asia: 1994--2015  

SciTech Connect

The two key threats to coal`s long term dominance in Asia are: (1) its uneven distribution of reserves and lack of adequate rail transportation infrastructure, and (2) growing environmental concerns about coal-related pollution. Even with increased attention to emissions control for coal, continued growth in coal consumption is expected to result in further deterioration of the environment in Asia for another one to two decades. China will remain the largest polluter in Asia, but it`s believed it will become Asia`s largest user of emissions control technology by 2015. The authors have subjectively weighed the above constraints to increased coal use in preparing the projections of the future role of coal in the Asian region. This paper shows past trends in coal production and consumption, plus projections of coal production, consumption and trade over the 1994--2015 period. The projections in this paper are useful as a general indicator of long term patterns in Asia. However, there are too many uncertainties about economic growth rates and energy and environmental policies to suggest that the projections will be accurate for every economy. This paper concludes with the preliminary results of research under way, which suggests that increasing economic wealth in China is the most important factor in solving China`s coal-related pollution problems.

Johnson, C.J.; Li, B.

1996-02-01T23:59:59.000Z

298

Coal Severance Tax (North Dakota)  

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

The Coal Severance Tax is imposed on all coal severed for sale or industrial purposes, except coal used for heating buildings in the state, coal used by the state or any political subdivision of...

299

Coal char fragmentation during pulverized coal combustion  

Science Conference Proceedings (OSTI)

A series of investigations of coal and char fragmentation during pulverized coal combustion is reported for a suite of coals ranging in rank from lignite to low-volatile (lv) bituminous coal under combustion conditions similar to those found in commercial-scale boilers. Experimental measurements are described that utilize identical particle sizing characteristics to determine initial and final size distributions. Mechanistic interpretation of the data suggest that coal fragmentation is an insignificant event and that char fragmentation is controlled by char structure. Chars forming cenospheres fragment more extensively than solid chars. Among the chars that fragment, large particles produce more fine material than small particles. In all cases, coal and char fragmentation are seen to be sufficiently minor as to be relatively insignificant factors influencing fly ash size distribution, particle loading, and char burnout.

Baxter, L.L.

1995-07-01T23:59:59.000Z

300

Upgraded Coal Interest Group  

Science Conference Proceedings (OSTI)

The Upgraded Coal Interest Group (UCIG) is an EPRI 'users group' that focuses on clean, low-cost options for coal-based power generation. The UCIG covers topics that involve (1) pre-combustion processes, (2) co-firing systems and fuels, and (3) reburn using coal-derived or biomass-derived fuels. The UCIG mission is to preserve and expand the economic use of coal for energy. By reducing the fuel costs and environmental impacts of coal-fired power generation, existing units become more cost effective and thus new units utilizing advanced combustion technologies are more likely to be coal-fired.

Evan Hughes

2009-01-08T23:59:59.000Z

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

Coal feed lock  

DOE Patents (OSTI)

A coal feed lock is provided for dispensing coal to a high pressure gas producer with nominal loss of high pressure gas. The coal feed lock comprises a rotor member with a diametral bore therethrough. A hydraulically activated piston is slidably mounted in the bore. With the feed lock in a charging position, coal is delivered to the bore and then the rotor member is rotated to a discharging position so as to communicate with the gas producer. The piston pushes the coal into the gas producer. The rotor member is then rotated to the charging position to receive the next load of coal.

Pinkel, I. Irving (Fairview Park, OH)

1978-01-01T23:59:59.000Z

302

International perspectives on coal preparation  

SciTech Connect

The report consists of the vugraphs from the presentations which covered the following topics: Summaries of the US Department of Energy`s coal preparation research programs; Preparation trends in Russia; South African coal preparation developments; Trends in hard coal preparation in Germany; Application of coal preparation technology to oil sands extraction; Developments in coal preparation in China; and Coal preparation in Australia.

1997-12-31T23:59:59.000Z

303

Pelletization of fine coals  

SciTech Connect

The present research project attempts to provide a basis to determine the pelletizability of fine coals, to ascertain the role of additives and binders and to establish a basis for binder selection. Currently, there are no established techniques for determining the quality of coal pellets. Our research is intended to develop a series of tests on coal pellets to measure their storage characteristics, transportability, ease of gasification and rate of combustion. Information developed from this research should be valuable for making knowledgeable decisions for on-time plant design, occasional binder selection and frequent process control during the pelletization of coal fines. During the last quarter, we continued the batch pelletization studies on Upper Freeport coal. The results as presented in that last quarterly report (April 1991) indicated that the surface conditions on the coal particle influenced the pelletizing growth rates. For example, a fresh (run of mine) sample of coal will display different pelletizing growth kinetics than a weathered sample of the same coal. Since coal is a heterogeneous material, the oxidized product of coal is equally variable. We found it to be logistically difficult to consistently produce large quantities of artificially oxidized coal for experimental purposes and as such we have used a naturally weathered coal. We have plans to oxidize coals under controlled oxidizing conditions and be able to establish their pelletizing behavior. The next phase of experiments were directed to study the effect of surface modification, introduced during the coal cleaning steps, on pelletizing kinetics. Accordingly, we initiated studies with two additives commonly used during the flotation of coal: dextrin (coal depressant) and dodecane (coal collector).

Sastry, K.V.S.

1991-09-01T23:59:59.000Z

304

Coal Combustion Science  

SciTech Connect

The objective of this activity is to support the Office of Fossil Energy in executing research on coal combustion science. This activity consists of basic research on coal combustion that supports both the Pittsburgh Energy Technology Center Direct Utilization Advanced Research and Technology Development Program, and the International Energy Agency Coal Combustion Science Project. Specific tasks for this activity include: (1) coal devolatilization - the objective of this risk is to characterize the physical and chemical processes that constitute the early devolatilization phase of coal combustion as a function of coal type, heating rate, particle size and temperature, and gas phase temperature and oxidizer concentration; (2) coal char combustion -the objective of this task is to characterize the physical and chemical processes involved during coal char combustion as a function of coal type, particle size and temperature, and gas phase temperature and oxygen concentration; (3) fate of mineral matter during coal combustion - the objective of this task is to establish a quantitative understanding of the mechanisms and rates of transformation, fragmentation, and deposition of mineral matter in coal combustion environments as a function of coal type, particle size and temperature, the initial forms and distribution of mineral species in the unreacted coal, and the local gas temperature and composition.

Hardesty, D.R. (ed.); Fletcher, T.H.; Hurt, R.H.; Baxter, L.L. (Sandia National Labs., Livermore, CA (United States))

1991-08-01T23:59:59.000Z

305

NETL: Coal-Fired Power Plants (CFPPs)  

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

Coal Sources Coal-Fired Power Plants (CFPPs) Where is the coal in the United States? Coal Across the U.S. The U.S. contains coal resources in various places. The coal occurs...

306

The First Coal Plants  

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

Coal Plants Coal Plants Nature Bulletin No. 329-A January 25, 1969 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation THE FIRST COAL PLANTS Coal has been called "the mainspring" of our civilization. You are probably familiar, in a general way, with the story of how it originated ages ago from beds of peat which were very slowly changed to coal; and how it became lignite or brown coal, sub-bituminous, bituminous, or anthracite coal, depending on bacterial and chemical changes in the peat, how much it was compressed under terrific pressure, and the amount of heat involved in the process. You also know that peat is formed by decaying vegetation in shallow clear fresh-water swamps or bogs, but it is difficult to find a simple description of the kinds of plants that, living and dying during different periods of the earth's history, created beds of peat which eventually became coal.

307

Indonesian coal mining  

Science Conference Proceedings (OSTI)

The article examines the opportunities and challenges facing the Indonesian coal mining industry and how the coal producers, government and wider Indonesian society are working to overcome them. 2 figs., 1 tab.

NONE

2008-11-15T23:59:59.000Z

308

Stacker speeds coal recovery  

SciTech Connect

The Spring Creek Coal Co., near Decker, Montana, features the only stacker/reclaimer in the U.S. to stockpile and reclaim coal produced by a dragline/truck-shovel operation.

Jackson, D.

1981-08-01T23:59:59.000Z

309

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

March 2011 DOEEIA-0121 (201004Q) Revised: July 2012 Quarterly Coal Report October - December 2010 March 2011 U.S. Energy Information Administration Office of Oil, Gas, and Coal...

310

Microbial solubilization of coal  

DOE Patents (OSTI)

This invention deals with the solubilization of coal using species of Streptomyces. Also disclosed is an extracellular component from a species of Streptomyces, said component being able to solubilize coal.

Strandberg, Gerald W. (Farragut, TN); Lewis, Susan N. (Knoxville, TN)

1990-01-01T23:59:59.000Z

311

Overview of coal conversion  

SciTech Connect

The structure of coal and the processes of coal gasification and coal liquefaction are reviewed. While coal conversion technology is not likely to provide a significant amount of synthetic fuel within the next several years, there is a clear interest both in government and private sectors in the development of this technology to hedge against ever-diminishing petroleum supplies, especially from foreign sources. It is evident from this rather cursory survey that there is some old technology that is highly reliable; new technology is being developed but is not ready for commercialization at the present state of development. The area of coal conversion is ripe for exploration both on the applied and basic research levels. A great deal more must be understood about the reactions of coal, the reactions of coal products, and the physics and chemistry involved in the various stages of coal conversion processes in order to make this technology economically viable.

Clark, B.R.

1981-03-27T23:59:59.000Z

312

Coal Production 1992  

SciTech Connect

Coal Production 1992 provides comprehensive information about US coal production, the number of mines, prices, productivity, employment, productive capacity, and recoverable reserves to a wide audience including Congress, Federal and State agencies, the coal industry, and the general public. In 1992, there were 3,439 active coal mining operations made up of all mines, preparation plants, and refuse operations. The data in Table 1 cover the 2,746 mines that produced coal, regardless of the amount of production, except for bituminous refuse mines. Tables 2 through 33 include data from the 2,852 mining operations that produced, processed, or prepared 10 thousand or more short tons of coal during the period, except for bituminous refuse, and includes preparation plants with 5 thousand or more employee hours. These mining operations accounted for over 99 percent of total US coal production and represented 83 percent of all US coal mining operations in 1992.

1993-10-29T23:59:59.000Z

313

Chemicals from coal  

Science Conference Proceedings (OSTI)

This chapter contains sections titled: Chemicals from Coke Oven Distillate; The Fischer-Tropsch Reaction; Coal Hydrogenation; Substitute Natural Gas (SNG); Synthesis Gas Technology; Calcium Carbide; Coal and the Environment; and Notes and References

Harold A. Wittcoff; Bryan G. Reuben; Jeffrey S. Plotkin

2004-12-01T23:59:59.000Z

314

Coal News and Markets  

U.S. Energy Information Administration (EIA)

Over the past month and a half, NAP spot coal prices have been flat or declining (graph above). ... (the walls of coal left in place to support the roof), ...

315

NETL: Coal Utilization By-Products (CUB)  

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

Home > Technologies > Coal & Power Systems > Innovations for Existing Plants > Coal Utilization Byproducts Innovations for Existing Plants Solid Waste (Coal Utilization...

316

Coal gasification apparatus  

DOE Patents (OSTI)

Coal hydrogenation vessel has hydrogen heating passages extending vertically through its wall and opening into its interior.

Nagy, Charles K. (Monaca, PA)

1982-01-01T23:59:59.000Z

317

Method for fluorinating coal  

DOE Patents (OSTI)

Coal is fluorinated by contact with fluorine gas at low pressure. After pial fluorination, when the reaction rate has slowed, the pressure is slowly increased until fluorination is complete, forming a solid fluorinated coal of approximate composition CF.sub.1.55 H.sub.0.15. The fluorinated coal and a solid distillate resulting from vacuum pyrolysis of the fluorinated coal are useful as an internal standard for mass spectrometric unit mass assignments from about 100 to over 1500.

Huston, John L. (Skokie, IL); Scott, Robert G. (Westmont, IL); Studier, Martin H. (Downers Grove, IL)

1978-01-01T23:59:59.000Z

318

Ore components in coal  

Science Conference Proceedings (OSTI)

The dependence of the mineral content in coal and concentrates on the degree of metamorphism is analyzed.

Kh.A. Ishhakov [Russian Academy of Sciences, Kemerovo (Russian Federation). Institute of Coal and Coal Chemistry, Siberian Branch

2009-05-15T23:59:59.000Z

319

Coal Industry Annual, 1996  

Reports and Publications (EIA)

Provides comprehensive information about U.S. coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves.

Fred Freme

1998-04-01T23:59:59.000Z

320

Coal Industry Annual, 1997  

Reports and Publications (EIA)

Provides comprehensive information about U.S. coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves.

Fred Freme

1998-11-23T23:59:59.000Z

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

Coal Industry Annual, 1995  

Reports and Publications (EIA)

Provides comprehensive information about U.S. coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves.

Fred Freme

1996-11-17T23:59:59.000Z

322

Coal Industry Annual, 1998  

Reports and Publications (EIA)

Provides comprehensive information about U.S. coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves.

Fred Freme

2000-07-07T23:59:59.000Z

323

Coal Industry Annual, 1994  

Reports and Publications (EIA)

Provides comprehensive information about U.S. coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves.

Fred Freme

1996-04-18T23:59:59.000Z

324

Coal Industry Annual, 1999  

Reports and Publications (EIA)

Provides comprehensive information about U.S. coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves.

Information Center

325

Coal Industry Annual, 2000  

Reports and Publications (EIA)

Provides comprehensive information about U.S. coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves.

Information Center

326

Coal News and Markets  

U.S. Energy Information Administration (EIA)

... (Energy Publishing, Coal & Energy Price Report, Bulletin, ... Although, the soaring demands of the Chinese steel industry are still with us, ...

327

Flash hydrogenation of coal  

DOE Patents (OSTI)

A process for the hydrogenation of coal comprising the contacting of powdered coal with hydrogen in a rotating fluidized bed reactor. A rotating fluidized bed reactor suitable for use in this process is also disclosed. The coal residence time in the reactor is limited to less than 5 seconds while the hydrogen contact time is not in excess of 0.2 seconds.

Manowitz, Bernard (Brightwaters, NY); Steinberg, Meyer (Huntington Station, NY); Sheehan, Thomas V. (Hampton Bays, NY); Winsche, Warren E. (Bellport, NY); Raseman, Chad J. (Setauket, NY)

1976-01-01T23:59:59.000Z

328

Proceedings: Coal Combustion Workshop  

Science Conference Proceedings (OSTI)

The primary objective of the 2007 Coal Combustion workshop was to present a holistic view of the various combustion processes required for minimal emissions, peak performance, and maximum reliability in a coal-fired power plant. The workshop also defined needs for future RD in coal combustion technology.

2008-01-09T23:59:59.000Z

329

Coal production 1989  

SciTech Connect

Coal Production 1989 provides comprehensive information about US coal production, the number of mines, prices, productivity, employment, reserves, and stocks to a wide audience including Congress, federal and state agencies, the coal industry, and the general public. 7 figs., 43 tabs.

1990-11-29T23:59:59.000Z

330

Trace-element geochemistry of coal resource development related to environmental quality and health  

Science Conference Proceedings (OSTI)

This report assesses for decision makers and those involved in coal resource development the environmental and health impacts of trace-element effects arising from significant increases in the use of coal, unless unusual precautions are invoked. Increasing demands for energy and the pressing need for decreased dependence of the United States on imported oil require greater use of coal to meet the nation's energy needs during the next decade. If coal production and consumption are increased at a greatly accelerated rate, concern arises over the release, mobilization, transportation, distribution, and assimilation of certain trace elements, with possible adverse effects on the environment and human health. It is, therefore, important to understand their geochemical pathways from coal and rocks via air, water, and soil to plants, animals, and ultimately humans, and their relation to health and disease. To address this problem, the Panel on Trace Element Geochemistry of Coal Resource Development Related to Health (PECH) was established. Certain assumptions were made by the Panel to highlight the central issues of trace elements and health and to avoid unwarranted duplication of other studies. Based on the charge to the Panel and these assumptions, this report describes the amounts and distribution of trace elements related to the coal source; the various methods of coal extraction, preparation, transportation, and use; and the disposal or recycling of the remaining residues or wastes. The known or projected health effects are discussed at the end of each section.

Not Available

1980-01-01T23:59:59.000Z

331

Coal Combustion Products | Department of Energy  

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

Combustion Products Coal Combustion Products Coal combustion products (CCPs) are solid materials produced when coal is burned to generate electricity. Since coal provides the...

332

Quarterly Coal Distribution Report - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The Quarterly Coal Distribution Report (QCDR) provides detailed U.S. domestic coal distribution data by coal origin state, coal destination state, mode of ...

333

Advanced Coal Wind Hybrid: Economic Analysis  

E-Print Network (OSTI)

Prices in 2007 real $ Coal Prices Coal prices have been farprices. Factors like coal prices and EOR revenues affect theCoal Prices..

Phadke, Amol

2008-01-01T23:59:59.000Z

334

Quarterly Coal Distribution Report - Energy Information ...  

U.S. Energy Information Administration (EIA)

The Quarterly Coal Distribution Report (QCDR) provides detailed U.S. domestic coal distribution data by coal origin state, coal destination state, mode of ...

335

Synthetic liquid fuels development: assessment of critical factors. Volume III. Coal resource depletion  

DOE Green Energy (OSTI)

While US coal resources are known to be vast, their rate of depletion in a future based predominantly on coal has not been examined analytically heretofore. The Coal Depletion Model inventories the coal resource on a regional basis and calculates the cost of coal extraction by three technologies - strip and underground mining and in-situ combustion. A plausible coal demand scenario extending from 1975 to the year 2050 is used as a basis in applying the model. In the year 2050, plants in operation include 285 syncrude plants, each producing 100,000 B/D; 312 SNG plants, each producing 250 million SCF/D and 722 coal-fired electric power plants, each of 1000 MW capacity. In addition, there is 890 million tons per year of industrial coal consumption. Such a high level of coal use would deplete US coal resources much more rapidly than most people appreciate. Of course, the actual amount of US coal is unknown, and if the coal in the hypothetical reliability category is included, depletion is delayed. Coal in this category, however, has not been mapped; it is only presumed to exist on the basis of geological theory. The coal resource depletion model shows that unilateral imposition of a severance tax by a state tends to shift production to other coal producing regions. Boom and bust cycles are both delayed and reduced in their magnitude. When several states simultaneously impose severance taxes, the effect of each is weakened.Key policy issues that emerge from this analysis concern the need to reduce the uncertainty of the magnitude and geographic distribution of the US coal resource and the need to stimulate interaction among the parties at interest to work out equitable and acceptable coal conversion plant location strategies capable of coping with the challenges of a high-coal future.

Dickson, E.M.; Yabroff, I.W.; Kroll, C.A.; White, R.K.; Walton, B.L.; Ivory, M.E.; Fullen, R.E.; Weisbecker, L.W.; Hays, R.L.

1977-01-01T23:59:59.000Z

336

Coal recovery process  

DOE Patents (OSTI)

A method for the beneficiation of coal by selective agglomeration and the beneficiated coal product thereof is disclosed wherein coal, comprising impurities, is comminuted to a particle size sufficient to allow impurities contained therein to disperse in water, an aqueous slurry is formed with the comminuted coal particles, treated with a compound, such as a polysaccharide and/or disaccharide, to increase the relative hydrophilicity of hydrophilic components, and thereafter the slurry is treated with sufficient liquid agglomerant to form a coagulum comprising reduced impurity coal.

Good, Robert J. (Grand Island, NY); Badgujar, Mohan (Williamsville, NY)

1992-01-01T23:59:59.000Z

337

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

Science Conference Proceedings (OSTI)

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

Olivier Pannekoucke

2009-09-01T23:59:59.000Z

338

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

Science Conference Proceedings (OSTI)

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

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

2012-12-01T23:59:59.000Z

339

New concept for coal wettability evaluation and modulation. Technical progress report, January 1, 1993--March 31, 1993  

SciTech Connect

The objectives of the work are to study the fundamental surface chemistry features about the evaluation of the surface wettability of coal and pyrite and establish a new separation strategy which could contribute to the advanced coal-cleaning for premium fuel application. During this quarter the capillary rise tests were conducted for the three different coal samples and mineral pyrite sample. The results indicates that there are good agreements between the experimental observations and the theoretical assumption about the new concept of the surface wettability of coal and pyrite.

Hu, W.

1993-07-01T23:59:59.000Z

340

Through its Clean Coal Research Program, FE  

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

its inception as part of DOE in 1977, FE's its inception as part of DOE in 1977, FE's R&D mission has continued to evolve to reflect the nation's key energy supply, security and environmental needs. Coal represents 93 percent of total U.S. fossil fuel reserves and is the largest single source (45 percent) of electricity generation, both currently and projected for the foreseeable future. It also is among the most carbon- intensive energy resources. Continuing the legacy of previous successes in the Clean Coal Technology Development Program, FE R&D today is focusing on ways to continue using this vital source of energy while minimizing atmospheric CO 2 emissions. Through its Clean Coal Research Program, FE is in the forefront of global efforts to develop and

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

Coal | Department of Energy  

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

Coal Coal Coal Coal Coal is the largest domestically produced source of energy in America and is used to generate a significant chunk of our nation's electricity. The Energy Department is working to develop technologies that make coal cleaner, so we can ensure it plays a part in our clean energy future. The Department is also investing in development of carbon capture, utilization and storage (CCUS) technologies, also referred to as carbon capture, utilization and sequestration. Featured Energy Secretary Moniz Visits Clean Coal Facility in Mississippi On Friday, Nov. 8, 2013, Secretary Moniz and international energy officials toured Kemper, the nation's largest carbon capture and storage facility, in Liberty, Mississippi. A small Mississippi town is making history with the largest carbon capture

342

Rail Coal Transportation Rates  

Gasoline and Diesel Fuel Update (EIA)

Trends, 2001 - 2010 Trends, 2001 - 2010 Transportation infrastructure overview In 2010, railroads transported over 70 percent of coal delivered to electric power plants which are generally concentrated east of the Mississippi River and in Texas. The U.S. railroad market is dominated by four major rail companies that account for 99 percent of U.S. coal rail shipments by volume. Deliveries from major coal basins to power plants by mode Rail Barge Truck Figure 2. Deliveries from major coal basins to power plants by rail, 2010 figure data Figure 3. Deliveries from major coal basins to power plants by barge, 2010 figure data Figure 4. Deliveries from major coal basins to power plants by truck, 2010 figure data The Powder River Basin of Wyoming and Montana, where coal is extracted in

343

Coal production: 1980  

Science Conference Proceedings (OSTI)

US coal production and related data are reported for the year 1980, with similar data for 1979 given for comparison. The data here collected on Form EIA-7A, coal production report, from 3969 US mines that produced, processed, or prepared 10,000 or more short tons of coal in 1980. Among the items covered are production, prices, employment, productivity, stocks, and recoverable reserves. Data are reported by state, county, coal producing district, type of mining, and by type of coal (anthracite, bituminous, subbituminous, and lignite). Also included are a glossary of coal terms used, a map of the coal producing disricts, and form EIA-7A with instructions. 14 figures, 63 tables.

Not Available

1982-05-01T23:59:59.000Z

344

Coal: the new black  

SciTech Connect

Long eclipsed by oil and natural gas as a raw material for high-volume chemicals, coal is making a comeback, with oil priced at more than $100 per barrel. It is relatively cheap feedstock for chemicals such as methanol and China is building plants to convert coal to polyolefins on a large scale and interest is spreading worldwide. Over the years several companies in the US and China have made fertilizers via the gasification of coal. Eastman in Tennessee gasifies coal to make methanol which is then converted to acetic acid, acetic anhydride and acetate fiber. The future vision is to convert methanol to olefins. UOP and Lurgi are the major vendors of this technology. These companies are the respective chemical engineering arms of Honeywell and Air Liquide. The article reports developments in China, USA and India on coal-to-chemicals via coal gasification or coal liquefaction. 2 figs., 2 photo.

Tullo, A.H.; Tremblay, J.-F.

2008-03-15T23:59:59.000Z

345

Background on Quantum Key Distribution  

Science Conference Proceedings (OSTI)

... Background on Quantum Key Distribution. ... If someone, referred to by cryptographers as Eve, tries to eavesdrop on the transmission, she will not ...

2011-08-02T23:59:59.000Z

346

Process for hydrogenating coal and coal solvents  

SciTech Connect

A novel process is described for the hydrogenation of coal by the hydrogenation of a solvent for the coal in which the hydrogenation of the coal solvent is conducted in the presence of a solvent hydrogenation catalyst of increased activity, wherein the hydrogenation catalyst is produced by reacting ferric oxide with hydrogen sulfide at a temperature range of 260.degree. C. to 315.degree. C. in an inert atmosphere to produce an iron sulfide hydrogenation catalyst for the solvent. Optimally, the reaction temperature is 275.degree. C. Alternately, the reaction can be conducted in a hydrogen atmosphere at 350.degree. C.

Tarrer, Arthur R. (Auburn, AL); Shridharani, Ketan G. (Auburn, AL)

1983-01-01T23:59:59.000Z

347

Partnership in key exchange protocols  

Science Conference Proceedings (OSTI)

In this paper, we investigate the notion of partnership as found in security models for key exchange protocols. Several different approaches have been pursued to define partnership, with varying degrees of success. We aim to provide an overview and criticism ... Keywords: key exchange, partnership, session identifier

Kazukuni Kobara; Seonghan Shin; Mario Strefler

2009-03-01T23:59:59.000Z

348

Clean coal: Global opportunities for small businesses  

Science Conference Proceedings (OSTI)

The parallel growth in coal demand and environmental concern has spurred interest in technologies that burn coal with greater efficiency and with lower emissions. Clean Coal Technologies (CCTs) will ensure that continued use of the world`s most abundant energy resource is compatible with a cleaner, healthier environment. Increasing interest in CCTs opens the door for American small businesses to provide services and equipment for the clean and efficient use of coal. Key players in most coal-related projects are typically large equipment manufacturers, power project developers, utilities, governments, and multinational corporations. At the same time, the complexity and scale of many of these projects creates niche markets for small American businesses with high-value products and services. From information technology, control systems, and specialized components to management practices, financial services, and personnel training methods, small US companies boast some of the highest value products and services in the world. As a result, American companies are in a prime position to take advantage of global niche markets for CCTs. This guide is designed to provide US small businesses with an overview of potential international market opportunities related to CCTs and to provide initial guidance on how to cost-effectively enter that growing global market.

NONE

1998-01-01T23:59:59.000Z

349

Future Impacts of Coal Distribution Constraints on Coal Cost  

E-Print Network (OSTI)

a particular type of coal, each of which is inherentlyThere are four classes of coal: bituminous, sub-bituminous,minerals Metallic ores Coal Crude petroleum Gasoline Fuel

McCollum, David L

2007-01-01T23:59:59.000Z

350

Coal Direct Chemical Looping Retrofit for Pulverized Coal-Fired...  

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

Coal Direct Chemical Looping Retrofit for Pulverized Coal-Fired Power Plants with In-Situ CO 2 Capture Background Pulverized coal (PC)-fired power plants provide nearly 50% of...

351

Future Impacts of Coal Distribution Constraints on Coal Cost  

E-Print Network (OSTI)

the costs have on the price of coal delivered by railroadsindicate that the price of coal delivered by railroads ismake up the delivered price of coal that electric plants are

McCollum, David L

2007-01-01T23:59:59.000Z

352

Assessment of a Novel Direct Coal Conversion - Fuel Cell Technology for Electric Utility Markets  

Science Conference Proceedings (OSTI)

EPRI's Technology Road Map identified a key technical challenge is "maintaining and strengthening a robust generation portfolio". Using our abundant coal resources in the most efficient way and in a way that limits CO2 emissions is among the toughest challenges facing the power industry. There are few new options or new technologies in the R&D pipeline that address this issue. Coal options available and being considered include: combustion systems such as pulverized coal (PC) and super critical systems w...

2006-12-11T23:59:59.000Z

353

PressurePressure Indiana Coal Characteristics  

E-Print Network (OSTI)

TimeTime PressurePressure · Indiana Coal Characteristics · Indiana Coals for Coke · CoalTransportation in Indiana · Coal Slurry Ponds Evaluation · Site Selection for Coal Gasification · Coal-To-Liquids Study, CTL · Indiana Coal Forecasting · Under-Ground Coal Gasification · Benefits of Oxyfuel Combustion · Economic

FernĂĄndez-Juricic, Esteban

354

Security of differential phase shift quantum key distribution against individual attacks  

E-Print Network (OSTI)

We derive a proof of security for the Differential Phase Shift Quantum Key Distribution (DPSQKD) protocol under the assumption that Eve is restricted to individual attacks. The security proof is derived by bounding the average collision probability, which leads directly to a bound on Eve's mutual information on the final key. The security proof applies to realistic sources based on pulsed coherent light. We then compare individual attacks to sequential attacks and show that individual attacks are more powerful.

Edo Waks; Hiroki Takesue; Yoshihisa Yamamoto

2005-08-15T23:59:59.000Z

355

Contaminants in coals and coal residues. [10 refs  

SciTech Connect

Most of the major enviromental pollutants from coals originate as impurities in the coal structure. These include various organic compounds, minerals, and trace elements that are released into the air and water when coal is mined, processed and utilized. The use of coal preparation to produce cleaner burning fuels involves an environmental compromise, wherein reduced emissions and solid wastes from coal burning sources are achieved at the expense of greater environmental degradation from coal cleaning wastes.

Wewerka, E.M.; Williams, J.M.; Vanderborgh, N.E.

1976-01-01T23:59:59.000Z

356

Coal Distribution Database, 2008  

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

4Q 2009 4Q 2009 April 2010 Quarterly Coal Distribution Table Format and Data Sources 4Q 2009 In keeping with EIA's efforts to increase the timeliness of its reports, this Quarterly Coal Distribution Report is a preliminary report, based on the most current data available from EIA's various monthly, quarterly and annual surveys of the coal industry and electric power generation industry. The final report will rely on the receipt of annual data to replace the imputed monthly data for smaller electric generation plants that are excluded from the monthly filing requirement, and final data for all other respondents. The Coal Distribution Report traces coal from the origin State to the destination State by transportation mode. The data sources beginning with the 2008 Coal Distribution Report

357

NETL: Coal & Coal Biomass to Liquids - Reference Shelf  

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

Reference Shelf Coal and CoalBiomass to Liquids Reference Shelf Documents Papers Presentations DOCUMENTS 2012 Technology Readiness Assessment-Analysis of Active Research Portfolio...

358

Future Impacts of Coal Distribution Constraints on Coal Cost  

E-Print Network (OSTI)

coal (PC) or integrated gasification combined cycle ( IGCC)coal (PC) or integrated gasification combined cycle (IGCC)will be integrated gasification combined cycle (IGCC) (Same

McCollum, David L

2007-01-01T23:59:59.000Z

359

DESULFURIZATION OF COAL MODEL COMPOUNDS AND COAL LIQUIDS  

E-Print Network (OSTI)

Credit Extra Fuel Oil Coal to gasifier Na cost· Na processoiL Replace res. with coal as gasifier feed. 543 ton/day @$

Wrathall, James Anthony

2011-01-01T23:59:59.000Z

360

Annul Coal Consumption by Country (1980 -2009) Total annual coal  

Open Energy Info (EERE)

Annul Coal Consumption by Country (1980 -2009) Total annual coal consumption by country, 1980 to 2009 (available as Quadrillion Btu). Compiled by Energy Information Administration...

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

NETL: Coal & Coal Biomass to Liquids - Project Information  

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

Project Information CoalBiomass Feed and Gasification Development of Biomass-Infused Coal Briquettes for Co-Gasification FE0005293 Development of Kinetics and Mathematical...

362

Illinois Coal Revival Program (Illinois)  

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

The Illinois Coal Revival Program is a grants program providing partial funding to assist with the development of new, coal-fueled electric generation capacity and coal gasification or IGCC units...

363

Coal Mining Tax Credit (Arkansas)  

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

The Coal Mining Tax Credit provides an income or insurance premium tax credit of $2.00 per ton of coal mined, produced or extracted on each ton of coal mined in Arkansas in a tax year. An...

364

COAL DESULFURIZATION PRIOR TO COMBUSTION  

E-Print Network (OSTI)

Corporation, 5-25~79. on Coal Liquefaction at ChevronHamersma, et a L, "Meyers Process for Coal Desulfurization,"in Wheelock, Coal Desulfurization, ACS Symp. Ser 64 (1977(.

Wrathall, J.

2013-01-01T23:59:59.000Z

365

Back Issues of the Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

coal > Quarterly Coal Report > Quarterly Coal Report Back Issues Quarterly Coal Report Back Issues of the Quarterly Coal Report Year 4thquarter 3rdquarter 2ndquarter 1stquarter QCR...

366

Pulverized coal fuel injector  

DOE Patents (OSTI)

A pulverized coal fuel injector contains an acceleration section to improve the uniformity of a coal-air mixture to be burned. An integral splitter is provided which divides the coal-air mixture into a number separate streams or jets, and a center body directs the streams at a controlled angle into the primary zone of a burner. The injector provides for flame shaping and the control of NO/NO.sub.2 formation.

Rini, Michael J. (Hebron, CT); Towle, David P. (Windsor, CT)

1992-01-01T23:59:59.000Z

367

Integrated coal liquefaction process  

DOE Patents (OSTI)

In a process for the liquefaction of coal in which coal liquids containing phenols and other oxygenated compounds are produced during the liquefaction step and later hydrogenated, oxygenated compounds are removed from at least part of the coal liquids in the naphtha and gas oil boiling range prior to the hydrogenation step and employed as a feed stream for the manufacture of a synthesis gas or for other purposes.

Effron, Edward (Springfield, NJ)

1978-01-01T23:59:59.000Z

368

Gasification of Lignite Coal  

Science Conference Proceedings (OSTI)

This report on the gasification of lignite coal is presented in two parts. The first includes research into technology options for preparing low-rank fuels for gasification, gasifiers for converting the coal into synthesis gas, and technologies that may be used to convert synthesis gas into valuable chemical products. The second part focuses on performance and cost screening analyses for either Greenfield or retrofit gasification options fueled by low-rank lignite coal. The work was funded through Tailor...

2009-01-23T23:59:59.000Z

369

''NowGen'': getting real about coal carbon capture and sequestration  

Science Conference Proceedings (OSTI)

It's clear that managing climate change will require addressing one of its key drivers: coal-fired electricity generation. This likely can't be done by just avoiding coal use altogether. We need cost-effective CCS and enabling technologies, we need them at commercial scale, and we need them soon. (author)

Cohen, Armond; Fowler, Mike; Waltzer, Kurt

2009-05-15T23:59:59.000Z

370

Fuel blending with PRB coal  

Science Conference Proceedings (OSTI)

Many methods exist to accomplish coal blending at a new or existing power plant. These range from a basic use of the secondary (emergency) stockout/reclaim system to totally automated coal handling facilities with segregated areas for two or more coals. Suitable choices for different sized coal plant are discussed, along with the major components of the coal handling facility affected by Powder River Basin coal. 2 figs.

McCartney, R.H.; Williams, R.L. Jr. [Roberts and Schaefer, Chicago, IL (United States)

2009-03-15T23:59:59.000Z

371

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

372

Modelling and Simulation of the Pumping in a Former Mine Using Sequential Automata; Coal Mine of Rochebelle -St-Martin de Valgalgues, Cvennes,  

E-Print Network (OSTI)

Modelling and Simulation of the Pumping in a Former Mine Using Sequential Automata; Coal Mine obtained in former coal mine of Rochebelle - St- Martin de Valgalgues located CĂ©vennes, South of France. Key words: Modelling mining aquifer, flow of pumping, former coal mine, discrete event modelling

373

Coal liquefaction quenching process  

DOE Patents (OSTI)

There is described an improved coal liquefaction quenching process which prevents the formation of coke with a minimum reduction of thermal efficiency of the coal liquefaction process. In the process, the rapid cooling of the liquid/solid products of the coal liquefaction reaction is performed without the cooling of the associated vapor stream to thereby prevent formation of coke and the occurrence of retrograde reactions. The rapid cooling is achieved by recycling a subcooled portion of the liquid/solid mixture to the lower section of a phase separator that separates the vapor from the liquid/solid products leaving the coal reactor.

Thorogood, Robert M. (Macungie, PA); Yeh, Chung-Liang (Bethlehem, PA); Donath, Ernest E. (St. Croix, VI)

1983-01-01T23:59:59.000Z

374

Quarterly Coal Report  

Annual Energy Outlook 2012 (EIA)

December 2010 DOEEIA-0121 (201003Q) Revised: July 2012 Quarterly Coal Report July - September 2010 December 2010 U.S. Energy Information Administration Office of Oil, Gas, and...

375

Coal Combustion Products: Challenges  

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

Products: Challenges and Opportunities American Coal Ash Association Conference St. Petersburg, FL January 27-30, 2003 Carl O. Bauer National Energy Technology Laboratory...

376

Initiators of coal hydrogenation  

Science Conference Proceedings (OSTI)

The results are given of an investigation of the influence of additions of certain organosilicon compounds of cyclic and linear nature on the coal hydrogenation process.

Krichko, A.A.; Dembovskaya, E.A.; Gorlov, E.G.

1983-01-01T23:59:59.000Z

377

Clean Coal Projects (Virginia)  

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

This legislation directs the Virginia Air Pollution Control Board to facilitate the construction and implementation of clean coal projects by expediting the permitting process for such projects.

378

Coal Development (Nebraska)  

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

This section provides for the development of newly-discovered coal veins in the state, and county aid for such development.

379

Direct Coal Liquefaction  

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

solvent. * The coal fragments are further hydrocracked to produce a synthetic crude oil. * This synthetic crude must then undergo refinery upgrading and hydrotreating to...

380

Weekly NYMEX Coal Futures  

Reports and Publications (EIA)

The New York Mercantile Exchange (NYMEX) Report provides settlement price data for Central Appalachian (CAPP), Western Powder River Basin (PRB), and Eastern CSX Transportation (CSX) coal futures.

Information Center

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

Rail Coal Transportation Rates  

U.S. Energy Information Administration (EIA)

figure data Figure 7 shows the percent change in average real rates for those state-to-state ... Estimated transportation rates for coal delivered to electric ...

382

Coal News and Markets  

U.S. Energy Information Administration (EIA)

Speaking about Consol Energy’s 1Q05 earnings, J. Brett Harvey, president and CEO, noted that the “pricing environment for our coal is excellent, ...

383

Handbook of coal analysis  

SciTech Connect

The Handbook deals with the various aspects of coal analysis and provides a detailed explanation of the necessary standard tests and procedures that are applicable to coal in order to help define usage and behavior relative to environmental issues. It provides details of the meaning of various test results and how they might be applied to predict coal behavior during use. Emphasis is on ASTM standards and test methods but ISO and BSI standards methods are included. Chapter headings are: Coal analysis; Sampling and sample preparation; Proximate analysis; Ultimate analysis; Mineral matter; Physical and electrical properties; Thermal properties; Mechanical properties; Spectroscopic properties; Solvent properties; and Glossary.

James G. Speight

2005-05-01T23:59:59.000Z

384

Key Activities | Department of Energy  

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

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

385

Key China Energy Statistics 2011  

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

1 Title Key China Energy Statistics 2011 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

386

Key China Energy Statistics 2012  

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

2 Title Key China Energy Statistics 2012 Publication Type Chart Year of Publication 2012 Authors Levine, Mark D., David Fridley, Hongyou Lu, and Cecilia Fino-Chen Date Published...

387

Advanced Coal Conversion Process Demonstration  

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

Clean Coal Technology Program Advanced Coal Conversion Process Demonstration A DOE Assessment DOENETL-20051217 U.S. Department of Energy Office of Fossil Energy National Energy...

388

Clean coal technologies market potential  

SciTech Connect

Looking at the growing popularity of these technologies and of this industry, the report presents an in-depth analysis of all the various technologies involved in cleaning coal and protecting the environment. It analyzes upcoming and present day technologies such as gasification, combustion, and others. It looks at the various technological aspects, economic aspects, and the various programs involved in promoting these emerging green technologies. Contents: Industry background; What is coal?; Historical background of coal; Composition of coal; Types of coal; Environmental effects of coal; Managing wastes from coal; Introduction to clean coal; What is clean coal?; Byproducts of clean coal; Uses of clean coal; Support and opposition; Price of clean coal; Examining clean coal technologies; Coal washing; Advanced pollution control systems; Advanced power generating systems; Pulverized coal combustion (PCC); Carbon capture and storage; Capture and separation of carbon dioxide; Storage and sequestration of carbon dioxide; Economics and research and development; Industry initiatives; Clean Coal Power Initiative; Clean Coal Technology Program; Coal21; Outlook; Case Studies.

Drazga, B. (ed.)

2007-01-30T23:59:59.000Z

389

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

SciTech Connect

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

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

1995-02-01T23:59:59.000Z

390

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

Science Conference Proceedings (OSTI)

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

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

2013-01-01T23:59:59.000Z

391

STEO November 2012 - coal supplies  

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

Despite drop in domestic coal production, U.S. coal exports to reach Despite drop in domestic coal production, U.S. coal exports to reach record high in 2012. While U.S. coal production is down 7 percent this year due in part to utilities switching to low-priced natural gas to generate electricity, American coal is still finding plenty of buyers in overseas markets. U.S. coal exports are expected to hit a record 125 million tons in 2012, the U.S. Energy Information Administration says in its new monthly short-term energy outlook. Coal exports are expected to decline in 2013, primarily because of continuing economic weakness in Europe, lower international coal prices, and higher coal production in Asia. However, U.S. coal exports next year are still expected to top 100 million tons for the third year in a row

392

HS_Coal_Studyguide.indd  

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

Coal Coal Fossil Energy Study Guide: Coal Coal is the most plentiful fuel in the fossil family. The United States has more coal reserves than any other country in the world. In fact, one-fourth of all known coal in the world is in the United States, with large deposits located in 38 states. The United States has almost as much energ y in coal that can be mined as the rest of the world has in oil that can be pumped from the ground. TYPES OF COAL Coal is a black rock made up of large amounts of carbon. Like all fossil fuels, coal can be burned to release energy. Coal contains elements such as hydrogen, oxygen, and nitrogen; has various amounts of minerals; and is itself considered to be a mineral of organic origin. Due to the variety of materials buried over time in the

393

State coal profiles, January 1994  

SciTech Connect

The purpose of State Coal Profiles is to provide basic information about the deposits, production, and use of coal in each of the 27 States with coal production in 1992. Although considerable information on coal has been published on a national level, there is a lack of a uniform overview for the individual States. This report is intended to help fill that gap and also to serve as a framework for more detailed studies. While focusing on coal output, State Coal Profiles shows that the coal-producing States are major users of coal, together accounting for about three-fourths of total US coal consumption in 1992. Each coal-producing State is profiled with a description of its coal deposits and a discussion of the development of its coal industry. Estimates of coal reserves in 1992 are categorized by mining method and sulfur content. Trends, patterns, and other information concerning production, number of mines, miners, productivity, mine price of coal, disposition, and consumption of coal are detailed in statistical tables for selected years from 1980 through 1992. In addition, coal`s contribution to the State`s estimated total energy consumption is given for 1991, the latest year for which data are available. A US summary of all data is provided for comparing individual States with the Nation as a whole. Sources of information are given at the end of the tables.

1994-02-02T23:59:59.000Z

394

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

E-Print Network (OSTI)

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

395

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

DOE Green Energy (OSTI)

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

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

1996-08-01T23:59:59.000Z

396

Coal liquefaction process  

DOE Patents (OSTI)

A C.sub.5 -900.degree. F. (C.sub.5 -482.degree. C.) liquid yield greater than 50 weight percent MAF feed coal is obtained in a coal liquefaction process wherein a selected combination of higher hydrogen partial pressure, longer slurry residence time and increased recycle ash content of the feed slurry are controlled within defined ranges.

Carr, Norman L. (Allison Park, PA); Moon, William G. (Cheswick, PA); Prudich, Michael E. (Pittsburgh, PA)

1983-01-01T23:59:59.000Z

397

Dry piston coal feeder  

SciTech Connect

This invention provides a solids feeder for feeding dry coal to a pressurized gasifier at elevated temperatures substantially without losing gas from the gasifier by providing a lock having a double-acting piston that feeds the coals into the gasifier, traps the gas from escaping, and expels the trapped gas back into the gasifier.

Hathaway, Thomas J. (Belle Meade, NJ); Bell, Jr., Harold S. (Madison, NJ)

1979-01-01T23:59:59.000Z

398

Method for coal liquefaction  

SciTech Connect

A process is disclosed for coal liquefaction in which minute particles of coal in intimate contact with a hydrogenation catalyst and hydrogen arc reacted for a very short time at a temperature in excess of 400.degree. C. at a pressure of at least 1500 psi to yield over 50% liquids with a liquid to gaseous hydrocarbon ratio in excess of 8:1.

Wiser, Wendell H. (Kaysville, UT); Oblad, Alex G. (Salt Lake City, UT); Shabtai, Joseph S. (Salt Lake City, UT)

1994-01-01T23:59:59.000Z

399

Mechanochemical hydrogenation of coal  

DOE Patents (OSTI)

Hydrogenation of coal is improved through the use of a mechanical force to reduce the size of the particulate coal simultaneously with the introduction of gaseous hydrogen, or other hydrogen donor composition. Such hydrogen in the presence of elemental tin during this one-step size reduction-hydrogenation further improves the yield of the liquid hydrocarbon product.

Yang, Ralph T. (Tonawanda, NY); Smol, Robert (East Patchogue, NY); Farber, Gerald (Elmont, NY); Naphtali, Leonard M. (Washington, DC)

1981-01-01T23:59:59.000Z

400

Apparatus and method for feeding coal into a coal gasifier  

DOE Patents (OSTI)

This invention is directed to a system for feeding coal into a gasifier operating at high pressures. A coal-water slurry is pumped to the desired pressure and then the coal is "dried" prior to feeding the coal into the gasifier by contacting the slurry with superheated steam in an entrained bed dryer for vaporizing the water in the slurry.

Bissett, Larry A. (Morgantown, WV); Friggens, Gary R. (Morgantown, WV); McGee, James P. (Morgantown, WV)

1979-01-01T23:59:59.000Z

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

Coal Distribution Database, 2008  

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

Destination State, Destination State, Consumer, Destination and Method of Transportation 3Q 2009 February 2010 Quarterly Coal Distribution Table Format and Data Sources 3Q 2009 In keeping with EIA's efforts to increase the timeliness of its reports, this Quarterly Coal Distribution Report is a preliminary report, based on the most current data available from EIA's various monthly, quarterly and annual surveys of the coal industry and electric power generation industry. The final report will rely on the receipt of annual data to replace the imputed monthly data for smaller electric generation plants that are excluded from the monthly filing requirement, and final data for all other respondents. The Coal Distribution Report traces coal from the origin State to the destination State by

402

By Coal Origin State  

Gasoline and Diesel Fuel Update (EIA)

Annual Coal Distribution Report 2010 Annual Coal Distribution Report 2010 U.S. Energy Information Administration | Annual Coal Distribution Report 2010 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 2010 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 7,906 821 1,242 - 9,969 Alabama Railroad 3,604 49 285 - 3,938 Alabama River 3,979 - - - 3,979 Alabama Truck 322 773 957 - 2,051 Florida Total - - 15 - 15 Florida Railroad - - 11 - 11 Florida Truck - - 3 - 3 Georgia Total 196 - 15 - 211 Georgia Railroad 189 - 1 - 190 Georgia Truck

403

Coal Distribution Database, 2008  

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

Origin State, Origin State, Consumer, Destination and Method of Transportation 3Q 2009 February 2010 Quarterly Coal Distribution Table Format and Data Sources 3Q 2009 In keeping with EIA's efforts to increase the timeliness of its reports, this Quarterly Coal Distribution Report is a preliminary report, based on the most current data available from EIA's various monthly, quarterly and annual surveys of the coal industry and electric power generation industry. The final report will rely on the receipt of annual data to replace the imputed monthly data for smaller electric generation plants that are excluded from the monthly filing requirement, and final data for all other respondents. The Coal Distribution Report traces coal from the origin State to the destination State by

404

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

2Q) 2Q) Distribution Category UC-950 Quarterly Coal Report April-June 1999 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts This publication was prepared by Paulette Young under the direction of B.D. Hong, Leader, Coal Infor- mation Team, Office of Coal, Nuclear, Electric and Alternate Fuels. Questions addressing the Appendix A, U.S. Coal Imports section should be directed to Paulette Young at (202) 426-1150, email

405

By Coal Destination State  

Gasoline and Diesel Fuel Update (EIA)

Annual Coal Distribution Report 2010 Annual Coal Distribution Report 2010 U.S. Energy Information Administration | Annual Coal Distribution Report 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 7,906 821 1,242 - 9,969 Alabama Railroad 3,604 49 285 - 3,938 Alabama River 3,979 - - - 3,979 Alabama Truck 322 773 957 - 2,051 Colorado Total 2,113 - - - 2,113 Colorado Railroad 2,113 - - - 2,113 Illinois Total 336 - - - 336 Illinois River 336 - - - 336 Indiana Total 1,076

406

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

1Q) 1Q) Distribution Category UC-950 Quarterly Coal Report January-March 1999 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts This publication was prepared by Paulette Young under the direction of B.D. Hong, Leader, Coal Infor- mation Team, Office of Coal, Nuclear, Electric and Alternate Fuels. Questions addressing the Appendix A, U.S. Coal Imports section should be directed

407

COMBUSTION OF COAL IN AN OPPOSED FLOW DIFFUSION BURNER  

E-Print Network (OSTI)

P.J. and Wells, J.H. , Coal, Coke and Coal Chemicals, 108, (of coal, carbon, char. coke, and other coal derived orpulverized coal, char, coke, solvent refined coal, and coal

Chin, W.K.

2010-01-01T23:59:59.000Z

408

Uncovering Coal's Secrets Through the University Coal Research Program |  

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

Uncovering Coal's Secrets Through the University Coal Research Uncovering Coal's Secrets Through the University Coal Research Program Uncovering Coal's Secrets Through the University Coal Research Program December 18, 2013 - 10:38am Addthis Uncovering Coalñ€™s Secrets Through the University Coal Research Program The challenges confronting the environmentally sound use of our country's fossil energy resources are best addressed through collaborative research and development. That's why this approach, which stretches federal dollars, is at the heart of the Office of Fossil Energy's University Coal Research (UCR) Program. Managed by the National Energy Technology Laboratory (NETL), the UCR program funds university research to improve understanding of the chemical and physical properties of coal, one of our nation's most abundant

409

Consensus Coal Production Forecast for  

E-Print Network (OSTI)

Consensus Coal Production Forecast for West Virginia 2009-2030 Prepared for the West Virginia Summary 1 Recent Developments 2 Consensus Coal Production Forecast for West Virginia 10 Risks References 27 #12;W.Va. Consensus Coal Forecast Update 2009 iii List of Tables 1. W.Va. Coal Production

Mohaghegh, Shahab

410

Focus on Alaska's coal '80  

Science Conference Proceedings (OSTI)

Papers are presented under the broad headings of: Northern Alaskan coals; Beluga-Yentna coal field; resource development and utilization; transportation and economics; coal mining methods and regulations; and, federal and state policies concerning coal development. There is also a panel discussion, and luncheon and banquet speeches. 36 papers have been abstracted separately.

Rao, P.D.; Wolff, E.N. (eds.)

1981-01-01T23:59:59.000Z

411

Coal market momentum converts skeptics  

SciTech Connect

Tight supplies, soaring natural gas prices and an improving economy bode well for coal. Coal Age presents it 'Forecast 2006' a survey of 200 US coal industry executives. Questions asked included predicted production levels, attitudes, expenditure on coal mining, and rating of factors of importance. 7 figs.

Fiscor, S.

2006-01-15T23:59:59.000Z

412

DOE's Coal Research and Development | Department of Energy  

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

July 25, 2013 - 10:32am July 25, 2013 - 10:32am Addthis Statement of Christopher Smith, Acting Assistant Secretary for Fossil Energy before the House Committee on Science, Space and Technology Subcommittee on Energy Thank you Chairman Lummis, Ranking Member Swalwell, and members of the Subcommittee. I appreciate the opportunity to discuss the Department of Energy's (DOE) coal research and development (R&D) activities. Coal fuels approximately 40 percent of our domestic electricity production. As the Energy Information Administration (EIA) recently pointed out in the Annual Energy Outlook 2013 reference case, coal is projected to remain the largest energy source for electricity generation through 2040. Because it is abundant, the clean and efficient use of coal is a key part of President Obama's all-of-the-above energy strategy.

413

EPAct Transportation Regulatory Activities: Key Terms  

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

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

414

EPAct Transportation Regulatory Activities: Key Federal Statutes  

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

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

415

MS_Coal_Studyguide.indd  

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

COAL-OUR MOST ABUNDANT FUEL COAL-OUR MOST ABUNDANT FUEL America has more coal than any other fossil fuel resource. Th e United States also has more coal reserves than any other single country in the world. In fact, 1/4 of all the known coal in the world is in the United States. Th e United States has more energy in coal that can be mined than the rest of the world has in oil that can be pumped from the ground. Currently, coal is mined in 25 of the 50 states. Coal is used primarily in the United States to generate electricity. In fact, it is burned in power plants to produce nearly half of the electricity we use. A stove uses about half a ton of coal a year. A water heater uses about two tons of coal a year. And a refrigerator, that's another half-ton a year. Even though you

416

KIDS: keyed intrusion detection system  

Science Conference Proceedings (OSTI)

Since most current network attacks happen at the application layer, analysis of packet payload is necessary for their detection. Unfortunately malicious packets may be crafted to mimic normal payload, and so avoid detection if the anomaly detection method ... Keywords: Kerckhoffs' principle, anomaly detection, keyed IDS, network intrusion detection, word model

Sasa Mrdovic; Branislava Drazenovic

2010-07-01T23:59:59.000Z

417

Key Workplace Documents Federal Publications  

E-Print Network (OSTI)

, the Administration in 2007 concluded agreements with China on toys, food and feed, drugs and medical devicesKey Workplace Documents Federal Publications Cornell University ILR School Year 2008 China/498 #12;Order Code RL33536 China-U.S. Trade Issues Updated March 7, 2008 Wayne M. Morrison Specialist

418

Key technology trends - Satellite systems  

Science Conference Proceedings (OSTI)

This paper is based on material extracted from the WTEC Panel Report Global Satellite Communications Technology and Systems, December 1998. It presents an overview of key technology trends in communications satellites in the last few years. After the ... Keywords: Communications satellites, Satellite communications, Satellite technology overview

Charles W. Bostian; William T. Brandon; Alfred U. Mac Rae; Christoph E. Mahle; Stephen A. Townes

2000-08-01T23:59:59.000Z

419

Advanced Coal Wind Hybrid: Economic Analysis  

E-Print Network (OSTI)

of Figures Figure ES-1. Advanced Coal Wind Hybrid: Basicviii Figure 1. Advanced-Coal Wind Hybrid: Basic29 Figure 9. Sensitivity to Coal

Phadke, Amol

2008-01-01T23:59:59.000Z

420

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

of deploying advanced coal power in the Chinese context,”12 2.6. International coal prices and12 III. Chinese Coal

Aden, Nathaniel

2010-01-01T23:59:59.000Z

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

Coal News and Markets - Energy Information Administration  

U.S. Energy Information Administration (EIA)

"Coal News and Markets Report" summarizes spot coal prices by coal commodity regions (i.e., Central Appalachia (CAPP), Northern Appalachia (NAPP), Illinois Basin (ILB ...

422

EIA Energy Kids - Coal - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Coal Basics Coal takes millions of years to create. Coal is a combustible black or brownish-black sedimentary rock composed mostly of carbon and hydrocarbons.

423

DOE Hydrogen Analysis Repository: Coal Distribution Constraints  

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

Coal Distribution Constraints Project Summary Full Title: Future Impacts of Coal Distribution Constraints on Coal Cost Project ID: 199 Principal Investigator: David McCollum...

424

WEAR RESISTANT ALLOYS FOR COAL HANDLING EQUIPMENT  

E-Print Network (OSTI)

Proceedings of the Conference on Coal Feeding Systems, HeldWear Resistant Alloys for Coal Handling Equipment", proposalWear Resistant Alloys for Coal Handling Equi pment". The

Bhat, M.S.

2011-01-01T23:59:59.000Z

425

Quarterly Coal Report April - June 2011  

U.S. Energy Information Administration (EIA)

The Quarterly Coal Report (QCR) presents U.S. coal production, exports, imports, receipts, prices, consumption, coal quality, and stocks data.

426

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

12 2.6. International coal prices and18 International coal prices and trade In parallel with thesocial stability. High coal prices and domestic shortages

Aden, Nathaniel

2010-01-01T23:59:59.000Z

427

Coal Gasification Research, Development and Demonstration- Needs and Opportunities  

E-Print Network (OSTI)

The resolution of the carbon/energy/environment conflict is the key issue for future coalbased power generation. Concern over CO2 emissions and their effect on global climate may lead to a more carbon constrained world and possible CO2 emissions related legislation. This adds another dimension to natural gas/coal strategic planning. Since

unknown authors

2001-01-01T23:59:59.000Z

428

Model documentation, Coal Market Module of the National Energy Modeling System  

Science Conference Proceedings (OSTI)

This report documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System`s (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1998 (AEO98). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS). CMM provides annual forecasts of prices, production, and consumption of coal for NEMS. In general, the CDS integrates the supply inputs from the CPS to satisfy demands for coal from exogenous demand models. The international area of the CDS forecasts annual world coal trade flows from major supply to major demand regions and provides annual forecasts of US coal exports for input to NEMS. Specifically, the CDS receives minemouth prices produced by the CPS, demand and other exogenous inputs from other NEMS components, and provides delivered coal prices and quantities to the NEMS economic sectors and regions.

NONE

1998-01-01T23:59:59.000Z

429

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 1,040 18 80 - 1,138 Alabama River 668 - - - 668 Alabama Truck 52 164 223 - 438 Alabama Total 1,760 181 303 - 2,244 Colorado Railroad 600 - - - 600 Illinois River 203 - 13 - 217 Indiana River 180 - - - 180 Kentucky Railroad 465 - 10 - 475 Kentucky (West) Railroad 465 - 10 - 475 Utah Railroad 18 - - -

430

Coal combustion products (CCPs  

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

combustion products (CCPs) combustion products (CCPs) are solid materials produced when coal is burned to generate electricity. Since coal provides the largest segment of U.S. electricity generation (45 percent in 2010), finding a sustainable solution for CCPs is an important environmental challenge. When properly managed, CCPs offer society environmental and economic benefits without harm to public health and safety. Research supported by the U.S. Department of Energy's (DOE) Office of Fossil Energy (FE) has made an important contribution in this regard. Fossil Energy Research Benefits Coal Combustion Products Fossil Energy Research Benefits

431

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 4th Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,486 155 328 - 1,970 Alabama Railroad 1,020 - 75 - 1,095 Alabama River 417 - - - 417 Alabama Truck 49 155 253 - 458 Colorado Total 195 - - - 195 Colorado Railroad 195 - - - 195 Illinois Total 127 - 18 - 145 Illinois Railroad 20 - - - 20 Illinois River 107 - 18 - 125 Indiana Total

432

By Coal Origin State  

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

2 2 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 1st Quarter 2012 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,407 184 231 - 1,822 Alabama Railroad 801 9 49 - 859 Alabama River 519 - - - 519 Alabama Truck 87 175 182 - 444 Georgia Total s - s - s Georgia Truck s - s - s Indiana Total - 98 - - 98 Indiana Railroad - 98 - - 98 Kentucky Total - - 12 - 12 Kentucky Truck - - 12 - 12 Ohio Total - 30 - - 30 Ohio

433

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 3rd Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,942 160 335 - 2,437 Alabama Railroad 1,149 - 57 - 1,206 Alabama River 741 - - - 741 Alabama Truck 52 160 278 - 490 Colorado Total 621 2 - - 623 Colorado Railroad 621 2 - - 623 Illinois Total 113 - 11 - 123 Illinois River 113 - 11 - 123 Indiana Total 265 - - - 265 Indiana Railroad

434

By Coal Origin State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2011 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2011 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,896 182 327 - 2,405 Alabama Railroad 1,192 2 74 - 1,268 Alabama River 655 - - - 655 Alabama Truck 50 180 253 - 482 Georgia Total s - - - s Georgia Truck s - - - s Indiana Total - 72 - - 72 Indiana Railroad - 72 - - 72 Tennessee Total - - 7 - 7 Tennessee Truck - - 7 - 7 Origin State Total 1,896

435

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 914 12 66 - 992 Alabama River 949 - - - 949 Alabama Truck 78 189 237 - 504 Alabama Total 1,941 201 303 - 2,445 Colorado Railroad 575 - - - 575 Illinois River 99 - - - 99 Indiana River 241 - - - 241 Kentucky Railroad 827 - 12 - 839 Kentucky (East) Railroad 76 - - - 76 Kentucky (West) Railroad

436

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 3rd Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 3rd Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 839 11 83 - 933 Alabama River 1,347 - - - 1,347 Alabama Truck 118 216 236 - 571 Alabama Total 2,304 227 320 - 2,850 Colorado Railroad 514 - - - 514 Illinois River 99 - - - 99 Indiana River 172 - - - 172 Kentucky Railroad 635 - 11 - 647 Kentucky (East) Railroad 45 - - - 45 Kentucky (West)

437

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 4th Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 4th Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 944 16 77 - 1,037 Alabama River 781 - - - 781 Alabama Truck 77 224 220 - 521 Alabama Total 1,802 240 298 - 2,340 Colorado Railroad 385 - - - 385 Illinois River 15 - - - 15 Indiana Railroad 1 - - - 1 Indiana River 350 - - - 350 Indiana Total 351 - - - 351 Kentucky Railroad 682 - 2 - 685 Kentucky (East)

438

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

June 2010 DOE/EIA-0121 (2010/01Q) June 2010 DOE/EIA-0121 (2010/01Q) Revised: July 2012 Quarterly Coal Report January - March 2010 June 2010 U.S. Energy Information Administration Office of Oil, Gas, and Coal Supply Statistics U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.gov/coal/production/quarterly/ _____________________________________________ 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

439

By Coal Destination State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2010 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2010 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 907 10 59 - 975 Alabama River 903 - - - 903 Alabama Truck 150 144 253 - 546 Alabama Total 1,960 153 311 - 2,424 Colorado Railroad 640 - - - 640 Illinois River 123 - - - 123 Indiana River 312 - - - 312 Kentucky Railroad 622 - 36 - 658 Kentucky (East) Railroad 96 - 36 - 132 Kentucky (West)

440

By Coal Destination State  

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

1 1 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2011 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 2nd Quarter 2011 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,896 182 327 - 2,405 Alabama Railroad 1,192 2 74 - 1,268 Alabama River 655 - - - 655 Alabama Truck 50 180 253 - 482 Colorado Total 468 - - - 468 Colorado Railroad 468 - - - 468 Illinois Total 90 - 26 - 116 Illinois River 90 - 26 - 116 Indiana Total 181 - - - 181 Indiana River 181 -

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

By Coal Destination State  

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

2 2 U.S. Energy Information Administration | Quarterly Coal Distribution Report 1st Quarter 2012 Alabama _____________________________________________________________________________________________________________________________________ Table DS-1. Domestic coal distribution, by destination State, 1st Quarter 2012 Destination: Alabama (thousand short tons) Coal Origin State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Total 1,407 184 231 - 1,822 Alabama Railroad 801 9 49 - 859 Alabama River 519 - - - 519 Alabama Truck 87 175 182 - 444 Colorado Total 82 - - - 82 Colorado Railroad 82 - - - 82 Illinois Total 149 - 14 - 163 Illinois Railroad 44 - - - 44 Illinois River 105 - 14 - 119 Indiana Total 99 - - - 99

442

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

1Q) 1Q) Quarterly Coal Report January - March 2008 July 2008 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

443

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

2Q) 2Q) Quarterly Coal Report April - June 2009 September 2009 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

444

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

7/01Q) 7/01Q) Quarterly Coal Report January - March 2007 June 2007 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

445

By Coal Origin State  

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

0 0 U.S. Energy Information Administration | Quarterly Coal Distribution Report 2nd Quarter 2010 Alabama ___________________________________________________________________________________________________________________________________ Table OS-1. Domestic coal distribution, by origin State, 2nd Quarter 2010 Origin: Alabama (thousand short tons) Coal Destination State Transportation Mode Electric Power Sector Coke Plants Industrial Plants (excluding Coke) Commercial & Institutional Total Alabama Railroad 914 12 66 - 992 Alabama River 949 - - - 949 Alabama Truck 78 189 237 - 504 Alabama Total 1,941 201 303 - 2,445 Georgia Railroad 23 - - - 23 Georgia Truck s - - - s Georgia Total 23 - - - 23 Indiana Railroad - 115 - - 115 Indiana Truck - 71 - - 71 Indiana Total - 186 - - 186 Tennessee Railroad - - 1 - 1 Tennessee Truck

446

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

3Q) 3Q) Quarterly Coal Report July - September 2008 December 2008 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

447

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

2Q) 2Q) Quarterly Coal Report April - June 2008 September 2008 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

448

Quarterly Coal Report  

Gasoline and Diesel Fuel Update (EIA)

8/04Q) 8/04Q) Quarterly Coal Report October - December 2008 March 2009 Energy Information Administration Office of Coal, Nuclear, Electric, and Alternate Fuels U.S. Department of Energy Washington, DC 20585 _____________________________________________________________________________ This report is available on the Web at: http://www.eia.doe.gov/cneaf/coal/quarterly/qcr.pdf _____________________________________________ This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be not be construed as advocating or reflecting any policy position of the U.S. Department of Energy or any other organization.

449

A commitment to coal  

SciTech Connect

Quin Shea explores the need for power generated with coal and the advanced technologies that will generate that power more efficiently and cleanly in the future. The article considers the air and waste challenges of using coal, including progress toward reducing emissions of SO{sub 2}, NOx, and mercury; efforts to address CO{sub 2}, including voluntary programs like the Climate Challenge, Power Partners, and the Asia-Pacific Partnership on Clean Development and Climate; and the regulation and beneficial use of coal-combustion byproducts (e.g., fly ash, bottom ash, flue gas desulfurization materials, boiler slag). 17 refs.

Shea, Q. [Edison Electric Institute, Washington, DC (United States)

2006-07-15T23:59:59.000Z

450

Underground gasification of coal  

DOE Patents (OSTI)

There is disclosed a method for the gasification of coal in situ which comprises drilling at least one well or borehole from the earth's surface so that the well or borehole enters the coalbed or seam horizontally and intersects the coalbed in a direction normal to its major natural fracture system, initiating burning of the coal with the introduction of a combustion-supporting gas such as air to convert the coal in situ to a heating gas of relatively high calorific value and recovering the gas. In a further embodiment the recovered gas may be used to drive one or more generators for the production of electricity.

Pasini, III, Joseph (Morgantown, WV); Overbey, Jr., William K. (Morgantown, WV); Komar, Charles A. (Uniontown, PA)

1976-01-20T23:59:59.000Z

451

Coal liquefaction process  

DOE Patents (OSTI)

A process is described for the liquefaction of coal wherein raw feed coal is dissolved in recycle solvent with a slurry containing recycle coal minerals in the presence of added hydrogen at elevated temperature and pressure. The highest boiling distillable dissolved liquid fraction is obtained from a vacuum distillation zone and is entirely recycled to extinction. Lower boiling distillable dissolved liquid is removed in vapor phase from the dissolver zone and passed without purification and essentially without reduction in pressure to a catalytic hydrogenation zone where it is converted to an essentially colorless liquid product boiling in the transportation fuel range. 1 fig.

Wright, C.H.

1986-02-11T23:59:59.000Z

452

Aqueous coal slurry  

DOE Patents (OSTI)

A principal object of the invention is the provision of an aqueous coal slurry containing a dispersant, which is of low-cost and which contains very low or no levels of sodium, potassium, sulfur and other contaminants. In connection with the foregoing object, it is an object of the invention to provide an aqueous slurry containing coal and dextrin as a dispersant and to provide a method of preparing an aqueous coal slurry which includes the step of adding an effective amount of dextrin as a dispersant. The invention consists of certain novel features and a combination of parts hereinafter fully described, and particularly pointed out in the appended claims. 6 tabs.

Berggren, M.H.; Smit, F.J.; Swanson, W.W.

1989-10-30T23:59:59.000Z

453

Coal liquefaction process  

DOE Green Energy (OSTI)

A process for the liquefaction of coal wherein raw feed coal is dissolved in recycle solvent with a slurry containing recycle coal minerals in the presence of added hydrogen at elevated temperature and pressure. The highest boiling distillable dissolved liquid fraction is obtained from a vacuum distillation zone and is entirely recycled to extinction. Lower boiling distillable dissolved liquid is removed in vapor phase from the dissolver zone and passed without purification and essentially without reduction in pressure to a catalytic hydrogenation zone where it is converted to an essentially colorless liquid product boiling in the transportation fuel range.

Wright, Charles H. (Overland Park, KS)

1986-01-01T23:59:59.000Z

454

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

455

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.

456

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

Science Conference Proceedings (OSTI)

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

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

1996-04-01T23:59:59.000Z

457

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

SciTech Connect

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

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

1995-02-01T23:59:59.000Z

458

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.

459

Coal Distribution Database, 2006  

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

7 7 December 2008 2007 Changes in Coal Distribution Table Format and Data Sources The changes in the coal distribution data sources made in 2006 are carried over to the 2007 tables. As in 2006, EIA used data from the EIA-3 survey to distribute synfuel to the electric generation sector on a state level, aggregated with all of the other coal (such as bituminous, subbituminous, and lignite coal) sent to electric generating plants. EIA supplemented the EIA-3 data with previously collected information to determine the mode of transportation from the synfuel plant to the electric generating consumer, which was not reported on the EIA-3A survey form. Although not contained in the EIA-6A master file, this information has been documented in an ancillary spreadsheet in the EIA

460

Coal Utilization Science Program  

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

Coal Utilization SCienCe Program Coal Utilization SCienCe Program Description The Coal Utilization Science (CUS) Program sponsors research and development (R&D) in fundamental science and technology areas that have the potential to result in major improvements in the efficiency, reliability, and environmental performance of advanced power generation systems using coal, the Nation's most abundant fossil fuel resource. The challenge for these systems is to produce power in an efficient and environmentally benign manner while remaining cost effective for power providers as well as consumers. The CUS Program is carried out by the National Energy Technology Laboratory (NETL) under the Office of Fossil Energy (FE) of the U.S. Department of Energy (DOE). The program supports DOE's Strategic Plan to:

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

Rail Coal Transportation Rates  

Gasoline and Diesel Fuel Update (EIA)

Methodology Methodology EIA uses the confidential version of the STB Waybill data, which includes actual revenue for shipments that originate and terminate at specific locations. The STB Waybill data are a sample of all rail shipments. EIA's 2011 report describes the sampling procedure. EIA aggregates the confidential STB data to three different levels: national, coal-producing basin to state, and state to state. EIA applies STB withholding rules to the aggregated data to identify records that must be suppressed to protect business-sensitive data. Also, EIA adds additional location fields to the STB data, identifying the mine from which the coal originates, the power plant that receives the coal, and, in some cases, an intermediate delivery location where coal is terminated by the initial carrier but then

462

Aqueous coal slurry  

DOE Patents (OSTI)

An aqueous slurry containing coal and dextrin as a dispersant. The slurry, in addition to containing dextrin, may contain a conventional dispersant or, alternatively, a pH controlling reagent.

Berggren, Mark H. (Golden, CO); Smit, Francis J. (Arvada, CO); Swanson, Wilbur W. (Golden, CO)

1993-01-01T23:59:59.000Z

463

Clean Coal Technology (Indiana)  

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

A public utility may not use clean coal technology at a new or existing electric generating facility without first applying for and obtaining from the Utility Regulatory Commission a certificate...

464

Coal markets squeeze producers  

SciTech Connect

Supply/demand fundamentals seem poised to keep prices of competing fossil fuels high, which could cushion coal prices, but increased mining and transportation costs may squeeze producer profits. Are markets ready for more volatility?

Ryan, M.

2005-12-01T23:59:59.000Z

465

Proximate analysis of coal  

Science Conference Proceedings (OSTI)

This lab experiment illustrates the use of thermogravimetric analysis (TGA) to perform proximate analysis on a series of coal samples of different rank. Peat and coke are also examined. A total of four exercises are described. These are dry exercises as students interpret previously recorded scans. The weight percent moisture, volatile matter, fixed carbon, and ash content are determined for each sample and comparisons are made. Proximate analysis is performed on a coal sample from a local electric utility. From the weight percent sulfur found in the coal (determined by a separate procedure the Eschka method) and the ash content, students calculate the quantity of sulfur dioxide emissions and ash produced annually by a large coal-fired electric power plant.

Donahue, C.J.; Rais, E.A. [University of Michigan, Dearborn, MI (USA)

2009-02-15T23:59:59.000Z

466

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

E-Print Network (OSTI)

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

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

467

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

E-Print Network (OSTI)

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

Koomey, Jonathan G.

2010-01-01T23:59:59.000Z

468

Coal liquefaction process  

DOE Patents (OSTI)

This invention relates to an improved process for the production of liquid carbonaceous fuels and solvents from carbonaceous solid fuels, especially coal. The claimed improved process includes the hydrocracking of the light SRC mixed with a suitable hydrocracker solvent. The recycle of the resulting hydrocracked product, after separation and distillation, is used to produce a solvent for the hydrocracking of the light solvent refined coal.

Skinner, Ronald W. (Allentown, PA); Tao, John C. (Perkiomenville, PA); Znaimer, Samuel (Vancouver, CA)

1985-01-01T23:59:59.000Z

469

Coal Liquefaction desulfurization process  

DOE Patents (OSTI)

In a solvent refined coal liquefaction process, more effective desulfurization of the high boiling point components is effected by first stripping the solvent-coal reacted slurry of lower boiling point components, particularly including hydrogen sulfide and low molecular weight sulfur compounds, and then reacting the slurry with a solid sulfur getter material, such as iron. The sulfur getter compound, with reacted sulfur included, is then removed with other solids in the slurry.

Givens, Edwin N. (Bethlehem, PA)

1983-01-01T23:59:59.000Z

470

International Coal Market Analysis  

Science Conference Proceedings (OSTI)

As this report is being finalized in November 2007, international steam coal freight-on-board (FOB) prices are at levels not seen since 1980-1982, shipping rates are at unprecedented high levels, and currency fluctuations are altering the degree to which major individual countries are impacted. This report systematically examines the history of the international coal trade, the major exporting and importing countries, and the drivers behind how trade functions. In addition, the report examines in depth t...

2007-12-14T23:59:59.000Z

471

Coal liquefaction process  

DOE Patents (OSTI)

An improved coal liquefaction process is provided which enables conversion of a coal-oil slurry to a synthetic crude refinable to produce larger yields of gasoline and diesel oil. The process is characterized by a two-step operation applied to the slurry prior to catalytic desulfurization and hydrogenation in which the slurry undergoes partial hydrogenation to crack and hydrogenate asphaltenes and the partially hydrogenated slurry is filtered to remove minerals prior to subsequent catalytic hydrogenation.

Karr, Jr., Clarence (Morgantown, WV)

1977-04-19T23:59:59.000Z

472

Method for coal liquefaction  

DOE Patents (OSTI)

A process is disclosed for coal liquefaction in which minute particles of coal in intimate contact with a hydrogenation catalyst and hydrogen arc reacted for a very short time at a temperature in excess of 400 C at a pressure of at least 1500 psi to yield over 50% liquids with a liquid to gaseous hydrocarbon ratio in excess of 8:1. 1 figures.

Wiser, W.H.; Oblad, A.G.; Shabtai, J.S.

1994-05-03T23:59:59.000Z

473

Weekly Coal Production by State  

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

Weekly Coal Production Weekly Coal Production Data for week ended: December 14, 2013 | Release date: December 19, 2013 | Next release date: December 30, 2013 For the week ended December 14, 2013: U.S. coal production totaled approximately 18.9 million short tons (mmst) This production estimate is 3.1% higher than last week's estimate and 2.9% lower than the production estimate in the comparable week in 2012 Coal production east of the Mississippi River totaled 8.2 mmst Coal production west of the Mississippi River totaled 10.8 mmst U.S. year-to-date coal production totaled 957.1 mmst, 1.9% lower than the comparable year-to-date coal production in 2012 EIA revises its weekly estimates of state-level coal production using Mine Safety and Health Administration (MSHA) quarterly coal production data.

474

Powdered coal air dispersion nozzle  

SciTech Connect

An improved coal/air dispersion nozzle introduces fuel into the combustion chamber of a gas turbine engine as a finely atomized, dispersed spray for a uniform combustion. The nozzle has an inlet that receives finely powdered coal from a coal transport or coal/air fluidizer system and a scroll swirl generator is included within the nozzle to swirl a fluidized coal/air mixture supplied to the inlet of the nozzle. The scroll is in the form of a thin, flat metal sheet insert, twisted along its length, and configured to prevent build-up of coal particles within the nozzle prior to ejection from its outlet. Airblast air jets are included along the length of the nozzle body to assist in the discharge of the fluidized coal from the nozzle outlet and an angular pintle tip overlies the outlet to redirect coal/air mixture through a desired fluidized coal spray angle.

Kosek, T.P.; Steinhilper, E.A.

1981-10-27T23:59:59.000Z

475

Advanced Coal Wind Hybrid: Economic Analysis  

E-Print Network (OSTI)

2 Syngas (H2 + CO + CO2) Coal Gasifier coal Fuel Production/2 Syngas (H2 + CO + CO2) Coal Gasifier coal Fuel Production/this operational mode, the gasifiers and other parts of the

Phadke, Amol

2008-01-01T23:59:59.000Z

476

China's Coal: Demand, Constraints, and Externalities  

E-Print Network (OSTI)

world’s largest CBM (coal-bed methane) power plant. In orderunder the China United Coal-bed Methane Corporation (CUCBM)quandary. 3.3.4. Coal-bed and coal-mine methane Effective

Aden, Nathaniel

2010-01-01T23:59:59.000Z

477

EIA projections of coal supply and demand  

SciTech Connect

Contents of this report include: EIA projections of coal supply and demand which covers forecasted coal supply and transportation, forecasted coal demand by consuming sector, and forecasted coal demand by the electric utility sector; and policy discussion.

Klein, D.E.

1989-10-23T23:59:59.000Z

478

Coal Severance Tax (Montana) | Department of Energy  

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

coal taxes to: (a) allow the severance taxes on coal production to remain a constant percentage of the price of coal; (b) stabilize the flow of tax revenue from coal mines to local...

479

Illinois Coal Development Program (Illinois) | Department of...  

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

Illinois Coal Development Program (Illinois) Illinois Coal Development Program (Illinois) < Back Eligibility Commercial Construction Developer Industrial Program Info State...

480

Coal News and Markets - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Coal Prices and Earnings (updated October 7, 2005) (Today's updates are limited to spot coal prices in the graph below)

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

Rotating Plasma Finding is Key for ITER  

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

Plasma Finding is Key for ITER Rotating Plasma Finding is Key for ITER PlasmaTurbulenceCSChang.png Tokamak turbulence showing inward-propagating streamers from normalized...

482

Method of extracting coal from a coal refuse pile  

DOE Patents (OSTI)

A method of extracting coal from a coal refuse pile comprises soaking the coal refuse pile with an aqueous alkali solution and distributing an oxygen-containing gas throughout the coal refuse pile for a time period sufficient to effect oxidation of coal contained in the coal refuse pile. The method further comprises leaching the coal refuse pile with an aqueous alkali solution to solubilize and extract the oxidized coal as alkali salts of humic acids and collecting the resulting solution containing the alkali salts of humic acids. Calcium hydroxide may be added to the solution of alkali salts of humic acid to form precipitated humates useable as a low-ash, low-sulfur solid fuel.

Yavorsky, Paul M. (Monongahela, PA)

1991-01-01T23:59:59.000Z

483

NETL: Coal & Coal Biomass to Liquids - Hydrogen and Clean Fuels...  

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

Strategies Central Hydrogen Production Coal Supply Regions CLICK ON IMAGE TO SEE LARGER VIEW Coal is a plentiful domestic resource, and is available in several major regions of the...

484

NETL: Coal & Coal Biomass to Liquids - Hydrogen and Clean Fuels...  

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

of hydrogen and nitrogen. CLICK ON IMAGE TO SEE LARGER VIEW Hydrogen is produced from coal in a process that is similar to SMR but more complex because coal is not a single...

485

DESULFURIZATION OF COAL MODEL COMPOUNDS AND COAL LIQUIDS  

E-Print Network (OSTI)

of coal sulfur K-T gasification process SRC I process U. S.flow sheet of a K-T coal gasification complex for producingProduction via K-T Gasification" © CEP Aug. 78. Feed

Wrathall, James Anthony

2011-01-01T23:59:59.000Z

486

NETL: Coal and Coal/Biomass to Liquids - Solicitations  

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

by Gasification. Small-Scale Coal-biomass to Liquids Production Using Highly Selective Fischer-Tropsch Synthesis; FE0010231 Small-Scale Pilot Plant for the Gasification of Coal...

487

Advanced Coal Wind Hybrid: Economic Analysis  

SciTech Connect

Growing concern over climate change is prompting new thinking about the technologies used to generate electricity. In the future, it is possible that new government policies on greenhouse gas emissions may favor electric generation technology options that release zero or low levels of carbon emissions. The Western U.S. has abundant wind and coal resources. In a world with carbon constraints, the future of coal for new electrical generation is likely to depend on the development and successful application of new clean coal technologies with near zero carbon emissions. This scoping study explores the economic and technical feasibility of combining wind farms with advanced coal generation facilities and operating them as a single generation complex in the Western US. The key questions examined are whether an advanced coal-wind hybrid (ACWH) facility provides sufficient advantages through improvements to the utilization of transmission lines and the capability to firm up variable wind generation for delivery to load centers to compete effectively with other supply-side alternatives in terms of project economics and emissions footprint. The study was conducted by an Analysis Team that consists of staff from the Lawrence Berkeley National Laboratory (LBNL), National Energy Technology Laboratory (NETL), National Renewable Energy Laboratory (NREL), and Western Interstate Energy Board (WIEB). We conducted a screening level analysis of the economic competitiveness and technical feasibility of ACWH generation options located in Wyoming that would supply electricity to load centers in California, Arizona or Nevada. Figure ES-1 is a simple stylized representation of the configuration of the ACWH options. The ACWH consists of a 3,000 MW coal gasification combined cycle power plant equipped with carbon capture and sequestration (G+CC+CCS plant), a fuel production or syngas storage facility, and a 1,500 MW wind plant. The ACWH project is connected to load centers by a 3,000 MW transmission line. In the G+CC+CCS plant, coal is gasified into syngas and CO{sub 2} (which is captured). The syngas is burned in the combined cycle plant to produce electricity. The ACWH facility is operated in such a way that the transmission line is always utilized at its full capacity by backing down the combined cycle (CC) power generation units to accommodate wind generation. Operating the ACWH facility in this manner results in a constant power delivery of 3,000 MW to the load centers, in effect firming-up the wind generation at the project site.

Phadke, Amol; Goldman, Charles; Larson, Doug; Carr, Tom; Rath, Larry; Balash, Peter; Yih-Huei, Wan

2008-11-28T23:59:59.000Z

488

Prediction of thermodynamic properties of coal derivatives  

Science Conference Proceedings (OSTI)

The purpose of this research program is to understand the relationship between macroscopic thermodynamic properties and the various types of intermolecular forces. Since coal-derived liquids contain a wide variety of compounds, a theory capable of successfully predicting the thermophysical properties for coal processes must take into account the molecular shapes and all significant intermolecular forces: dispersion forces, anisotropic forces due to dipoles and quadrupoles, as well as Lewis acid-base interactions. We have developed the Acid-Base-Perturbed-Anisotropic-Chain Theory (ABPACT), a comprehensive theory that is capable of predicting the thermophysical properties for many systems where these different intermolecular forces are present. The ABPACT can treat non-polar compounds, polar compounds and compounds that associate through Lewis acid-base interactions. In addition to our theoretical work, we have used computer simulations to evaluate (and in some cases correct) the assumptions made in this theory. We also have conducted experiments to help us better understand the interplay of different kinds of interactions in multicomponent mixtures.

Donohue, M.D.

1990-09-01T23:59:59.000Z

489

Vehicle Technologies Office: Key Activities in Vehicles  

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

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

490

Fuel Cell Technologies Office: Key Activities  

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

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

491

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

492

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

E-Print Network (OSTI)

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

493

NETL: News Release - NETL Technologies are Key to President Bush's Energy  

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

4 , 2006 4 , 2006 NETL Technologies are Key to President Bush's Energy Policy Assistant Secretary of Energy Highlights the President's New Energy Initiatives and Funding for Clean Coal Technologies at NETL MORGANTOWN, WV - A U.S. Department of Energy Assistant Secretary told West Virginia news reporters that development of advanced coal technology at the National Energy Technology Laboratory is a keystone of the Advanced Energy Initiative outlined in the President's State of the Union remarks. "Advanced technology and coal can deliver new increments of electric power to our Nation in the near- and mid-term in the volumes we will require it, at the times we will need it, on the terms we want it ? abundant, always available, low cost and clean," Jeffrey Jarrett, Assistant Secretary for Fossil Energy said. "They can ignite the transformation the President seeks in the way we power our homes and offices.

494

International Energy Outlook 1999 - Coal  

Gasoline and Diesel Fuel Update (EIA)

coal.jpg (1776 bytes) coal.jpg (1776 bytes) Coal’s share of world energy consumption falls slightly in the IEO99 forecast. Coal continues to dominate many national fuel markets in developing Asia, but it is projected to lose market share to natural gas in some other areas of the world. Historically, trends in coal consumption have varied considerably by region. Despite declines in some regions, world coal consumption has increased from 84 quadrillion British thermal units (Btu) in 1985 to 93 quadrillion Btu in 1996. Regions that have seen increases in coal consumption include the United States, Japan, and developing Asia. Declines have occurred in Western Europe, Eastern Europe, and the countries of the former Soviet Union. In Western Europe, coal consumption declined by 30

495

STEO December 2012 - coal demand  

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

coal demand seen below 1 billion tons in 2012 for fourth year in a row Coal consumption by U.S. power plants to generate electricity is expected to fall below 1 billion tons in...

496

2009 Coal Age Buyers Guide  

SciTech Connect

The buyers guide lists more than 1200 companies mainly based in the USA, that provide equipment and services to US coal mines and coal preparation plants. The guide is subdivided by product categories.

NONE

2009-07-15T23:59:59.000Z

497

Montana Coal Mining Code (Montana)  

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

The Department of Labor and Industry is authorized to adopt rules pertaining to safety standards for all coal mines in the state. The Code requires coal mine operators to make an accurate map or...

498

2008 Coal Age buyers guide  

Science Conference Proceedings (OSTI)

The buyers guide lists more than 1200 companies mainly based in the USA, that provide equipment and services to US coal mines and coal preparation plants. The guide is subdivided by product categories.

NONE

2008-07-15T23:59:59.000Z

499

A study of coal formation  

SciTech Connect

Coal is a solid, brittle, more or less distinctly stratified, combustible, carbonaceous rock. It is being rediscovered as a reliable energy source, which, historically provided the resource base for the industrialization of the United States economy. A firm understanding of growth in coal development is important to the national energy scene so that the implications of factors influencing coal growth upon the industry`s ability to realize national energy objectives may be determined. As a result, the future of coal development will be facilitated by compiling basic facts on coal reserves, production, and utilization. In view of this, a review and assessment of facts pertaining to the nature and origin of coal is presented. The various properties and uses of coal are then described, followed by a discussion of the process of coal formation.

Jubert, K.; Stevens, G.; Masudi, H.

1995-03-01T23:59:59.000Z

500

Low-rank coal research  

DOE Green Energy (OSTI)

This work is a compilation of reports on ongoing research at the University of North Dakota. Topics include: Control Technology and Coal Preparation Research (SO{sub x}/NO{sub x} control, waste management), Advanced Research and Technology Development (turbine combustion phenomena, combustion inorganic transformation, coal/char reactivity, liquefaction reactivity of low-rank coals, gasification ash and slag characterization, fine particulate emissions), Combustion Research (fluidized bed combustion, beneficiation of low-rank coals, combustion characterization of low-rank coal fuels, diesel utilization of low-rank coals), Liquefaction Research (low-rank coal direct liquefaction), and Gasification Research (hydrogen production from low-rank coals, advanced wastewater treatment, mild gasification, color and residual COD removal from Synfuel wastewaters, Great Plains Gasification Plant, gasifier optimization).

Not Available

1989-01-01T23:59:59.000Z