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


1

Bases, Assumptions, and Results of the Flowsheet Calculations for the Decision Phase Salt Disposition Alternatives  

SciTech Connect (OSTI)

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

2

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

3

Moldy Assumptions  

E-Print Network [OSTI]

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

Heully, Gustave Paul

2012-01-01T23:59:59.000Z

4

Key Assumptions Policy Issues  

E-Print Network [OSTI]

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

5

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

SciTech Connect (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

6

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.

7

Empirically Revisiting the Test Independence Assumption  

E-Print Network [OSTI]

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

Ernst, Michael

8

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

9

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

10

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

11

Section 25: Future State Assumptions  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

12

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

13

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.

14

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.

15

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.

16

Intro to Surrogate-Based Optimization Data fit case  

E-Print Network [OSTI]

Intro to Surrogate-Based Optimization � Data fit case � Model hierarchy case � ROM case Algorithmic � Hybrid POD space mapping Sequence of trust regions #12;Trust Region SBO � ROM Case ROM surrogates. proc.) ROMs in SBO: Key issue is accurately capturing effect of parameter changes. Many ROM-based opt

17

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

18

Price Corrected Domestic Technology AssumptionA Method To Assess Pollution Embodied in Trade Using Primary Official Statistics Only. With a Case on CO2 Emissions Embodied in Imports to Europe  

Science Journals Connector (OSTI)

For various countries, it has been shown that apparent decoupling of CO2 emissions or primary material use from GDP growth is actually the result of the relocation of material and energy-intensive production abroad. ... Compiling MR EE IO databases demands a high level of harmonization and consolidation of different data sources which often conflict (e.g., trade statistics usually differ from trade data in SUIOT). ... Figure 3. CO2 emissions per capita, 20002006: (a) emitted at EU27 territory; (b) embodied in EU27 imports; (c) embodied in EU27 exports; and (d) embodied in EU27 domestic final demand, calculated with Domestic Technology Assumption (standard) and with price adjustments. ...

Arnold Tukker; Arjan de Koning; Richard Wood; Stephan Moll; Maaike C. Bouwmeester

2012-12-26T23:59:59.000Z

19

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.

20

Process Engineering Division Texaco Gasifier IGCC Base Cases  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Engineering Division Engineering Division Texaco Gasifier IGCC Base Cases PED-IGCC-98-001 July 1998 Latest Revision June 2000 PREFACE This report presents the results of an analysis of three Texaco Gasifier IGCC Base Cases. The analyses were performed by W. Shelton and J. Lyons of EG&G. EXECUTIVE SUMMARY 1. Process Descriptions 1.1 Texaco Gasifier 1.2 Air Separation Plant (ASU) 1.3 Gas Cooling/Heat Recovery/Hydrolysis/Gas Saturation (Case 1 and Case 2) 1.4 Cold Gas Cleanup Unit (CGCU) (Case 1 and Case 2) 1.5 Fine Particulate Removal/ Chloride Guard Bed - Case 3 1.6 Transport Desulfurization HGCU - Case 3 1.7 Sulfuric Acid Plant - Case 3 1.8 Gas Turbine 1.9 Steam Cycle 1.10 Power Production 2. Simulation Development 3. Cost of Electricity Analysis

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


21

Web Services-Based Digital Library as a CSCL Space Using Case-Based Reasoning  

Science Journals Connector (OSTI)

This study proposes a Web Services-based Digital Libraries (DLs) using Case-based Reasoning as a space for collaborative learning. In the Digital Library environment, cases were designed on the basis ... a role a...

Soo-Jin Jun; Sun-Gwan Han; Hae-Young Kim

2006-01-01T23:59:59.000Z

22

Climate Action Planning Tool Formulas and Assumptions  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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.

23

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

24

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.

25

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.

26

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

27

Knowledge-Intensive Case-Based Reasoning and Intelligent Tutoring  

E-Print Network [OSTI]

Knowledge-Intensive Case-Based Reasoning and Intelligent Tutoring Agnar Aamodt Department Norway agnar.aamodt@idi.ntnu.no Abstract. Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In the system Creek, developed in our group, there is a strong coupling between

Aamodt, Agnar

28

Improved Efficiency of Oil Well Drilling through Case Based Reasoning  

Science Journals Connector (OSTI)

A system that applies a method of knowledge-intensive case-based reasoning, for repair and prevention of unwanted events in the domain of offshore oil well drilling, has been developed in cooperation with an oil ...

Paal Skalle; Jostein Sveen; Agnar Aamodt

2000-01-01T23:59:59.000Z

29

Learning Neuroscience: An Interactive Case-Based Online Network (ICON)  

Science Journals Connector (OSTI)

We have developed an interactive case-based online network (ICON) that provides a new learning environment and ... one of Harvard's interfaculty science initiatives. ICON takes advantage of this cross-disciplinar...

James J. Quattrochi; Susan Pasquale

2002-03-01T23:59:59.000Z

30

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

31

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

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

32

Preliminary Assumptions for Natural Gas Peaking  

E-Print Network [OSTI]

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

33

Ontology-Based Network Management: Study Cases and Lessons Learned  

Science Journals Connector (OSTI)

Ontology based network management has recently evolved from a theoretical proposal to a more mature technology. As such, it is now being applied in many research projects in a number of different network management and security scenarios. This application ... Keywords: Autonomic management, Lessons learned, Network monitoring, Network security, OWL, Ontology-based network management, SWRL, Study case

Jorge E. Lpez De Vergara; Antonio Guerrero; Vctor A. Villagr; Julio Berrocal

2009-09-01T23:59:59.000Z

34

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.

35

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

36

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

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

Evaluation of an Interactive Case-based Online Network (ICON) in a Problem Based Learning Environment  

Science Journals Connector (OSTI)

Purpose...: This study sought to assess the introduction of a web-based innovation in medical education that complements traditional problem-based learning curricula. Utilizing the case method as...

Arif N. Nathoo; Patricia Goldhoff

2005-08-01T23:59:59.000Z

39

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

40

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

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


41

Evaluating Case-based Decision Theory: Predicting Empirical Patterns of Human Classification Learning  

E-Print Network [OSTI]

Evaluating Case-based Decision Theory: Predicting Empirical Patterns of Human Classification which calculates an agent's optimal behavior according to Case- based Decision Theory (Gilboa behavior of this program (and therefore Case-based Decision Theory) correctly predicts the empirically

Tesfatsion, Leigh

42

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).

43

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.

44

Case{based Meta Learning: Sustained Learning supported by  

E-Print Network [OSTI]

Case{based Meta Learning: Sustained Learning supported by a Dynamically Biased Version Space Jacky{recognized that in practical in- ductive learning systems the search for a concept must be heavily biased. In addi- tion is sustained learn- ing, allowing transfer from known tasks to new ones. Previous work on dynamic bias has

Baltes, Jacky

45

Manufacturing Energy and Carbon Footprint Definitions and Assumptions, October 2012  

Broader source: Energy.gov [DOE]

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

46

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (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...

47

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

48

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

49

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

50

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.

51

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

52

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

53

Case Study - Hill Air Force Base, Utah | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Hill Air Force Base, Utah Hill Air Force Base, Utah Case Study - Hill Air Force Base, Utah October 7, 2013 - 2:00pm Addthis Overview Energy savings performance contracting at Hill Air Force Base generated much interest during a recent training session on energy management that downlinked 12 Department of Defense sites. Energy systems in 940 buildings on the Base will be upgraded under an 18-year ESPC between the Government and the energy service company, CES/Way. Improvements are distributed over five task orders that will be completed in five years, with CES/Way providing $2.5 million in up-front costs for the first two task orders. Utah Power & Light will provide $8 million in rebates to help cover the contractor's initial investment, maintenance services, and interest costs.

54

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).

55

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).

56

2010 Manufacturing Energy and Carbon Footprints: Definitions and Assumptions  

Broader source: Energy.gov [DOE]

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

57

EIA - Assumptions to the Annual Energy Outlook 2010 - 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,

58

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

59

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

60

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.

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


61

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

62

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)

63

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has five submodules representing various renewable energy sources, biomass, geothermal, landfill gas, solar, and wind; a sixth renewable, conventional hydroelectric power, is represented in the Electricity Market Module (EMM).119 Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was an original source of electricity generation, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

64

Chiller condition monitoring using topological case-based modeling  

SciTech Connect (OSTI)

To increase energy efficiency and economy, commercial building projects now often utilize centralized, shared sources of heat such as district heating and cooling (DHC) systems. To maintain efficiency, precise monitoring and scheduling of maintenance for chillers and heat pumps is essential. Low-performance operation results in energy loss, while unnecessary maintenance is expensive and wasteful. Plant supervisors are responsible for scheduling and supervising maintenance. Modeling systems that assist in analyzing system deterioration are of great benefit for these tasks. Topological case-based modeling (TCBM) (Tsutsui et al. 1993; Tsutsui 1995) is an effective tool for chiller performance deterioration monitoring. This paper describes TCBM and its application to this task using recorded historical performance data.

Tsutsui, Hiroaki [Yamatake-Honeywell Co. Ltd., Yokohama (Japan). Advanced Technology Center; Kamimura, Kazuyuki [Yamatake-Honeywell Co. Ltd., Tokyo (Japan). Building Systems Div.

1996-11-01T23:59:59.000Z

65

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

66

Federal Energy Management Program: Case Study - Hill Air Force Base, Utah  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Case Study - Hill Case Study - Hill Air Force Base, Utah to someone by E-mail Share Federal Energy Management Program: Case Study - Hill Air Force Base, Utah on Facebook Tweet about Federal Energy Management Program: Case Study - Hill Air Force Base, Utah on Twitter Bookmark Federal Energy Management Program: Case Study - Hill Air Force Base, Utah on Google Bookmark Federal Energy Management Program: Case Study - Hill Air Force Base, Utah on Delicious Rank Federal Energy Management Program: Case Study - Hill Air Force Base, Utah on Digg Find More places to share Federal Energy Management Program: Case Study - Hill Air Force Base, Utah on AddThis.com... Energy Savings Performance Contracts Assistance & Contacts Resources Laws & Regulations Energy Service Companies Awarded Projects

67

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.

68

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

69

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.

70

EIA - Assumptions to the Annual Energy Outlook 2008 - Renewable Fuels  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module Renewable Fuels Module Assumptions to the Annual Energy Outlook 2008 Renewable Fuels Module The NEMS Renewable Fuels Module (RFM) provides natural resources supply and technology input information for projections of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind1. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

71

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.

72

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.

73

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.

74

Knowledge-Intensive Case-Based Reasoning in CREEK Agnar Aamodt  

E-Print Network [OSTI]

Knowledge-Intensive Case-Based Reasoning in CREEK Agnar Aamodt Department of Computer.aamodt@idi.ntnu.no Abstract. Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In CREEK, there is a very strong coupling between cases and general domain knowledge, in that cases are embedded within

Aamodt, Agnar

75

WTI Crude Oil Price: Base Case and 95% Confidence Interval  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Spot WTI prices broke $35 and even $36 per barrel in November as anticipated boosts to world supply from OPEC and other sources failed to find much realization in actual stocks data. The idea that stocks are still languishing at below-normal levels is particularly persuasive when one views current levels (for key consuming regions) relative to "normal" values which account for the long-term trend in OECD stocks. We believe that monthly average WTI prices will stay around $30 per barrel for the first part of 2001. This is a noticeable upward shift in our projected average prices from even a month ago. The shift reflects greater emphasis on the lack of stock builds and less emphasis on the assumption that supply from OPEC and non-OPEC suppliers may be exceeding demand by 1-2

76

EIA - Assumptions to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

Assumptions to the Annual Energy Outlook 2009 The Early Release for next year's Annual Energy Outlook will be presented at the John Hopkins Kenney Auditorium on December 14th This report summarizes the major assumptions used in the NEMS to generate the AEO2009 projections. Introduction Macroeconomic Activity Module International Energy Module Residential Demand Module Commercial Demand Module Industrial Demand Module Transportation Demand Module Electricity Market Module Oil and Gas Supply Module Natural Gas Transmission and Distribution Module Petroleum Market Module Coal Market Module Renewable Fuels Module PDF (GIF) Appendix A: Handling of Federal and Selected State Legislation and Regulation In the Annual Energy Outlook Past Assumptions Editions

77

MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT  

SciTech Connect (OSTI)

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

R.E. Sweeney

2001-02-08T23:59:59.000Z

78

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.

79

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

80

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

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


81

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

82

Assumptions to the Annual Energy Outlook 2000-Table 1. Summary of the  

Gasoline and Diesel Fuel Update (EIA)

0 Cases 0 Cases Case Name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully Integrated Low Economic Growth Gross Domestic product grows at an average annual rate of 1.7 percent, compared to the reference case growth of 2.2 percent. Fully Integrated High Economic Growth Gross domestic product grows at an average annual rate of 2.6 percent, compared to the reference case growth of 2.2 percent. Fully Integrated Low World Oil Price World oil prices are $14.90 per barrel in 2020, compared to $22.04 per barrel in the reference case. Fully Integrated High World Oil Price World oil prices are $28.04 per barrel in 2020, compared to $22.04 per barrel in the reference case. Fully Integrated Residential: 2000 Technology

83

Assumptions to the Annual Energy Outlook 2001 - Table 1. Summary of AEO2001  

Gasoline and Diesel Fuel Update (EIA)

1 Cases 1 Cases Case name Description Integration mode Reference Baseline economic growth, world oil price, and technology assumptions Fully integrated Low Economic Growth Gross domestic product grows at an average annual rate of 2.5 percent, compared to the reference case growth of 3.0 percent. Fully integrated High Economic Growth Gross domestic product grows at an average annual rate of 3.5 percent, compared to the reference case growth of 3.0 percent. Fully integrated Low World Oil Price World oil prices are $15.10 per barrel in 2020, compared to $22.41 per barrel in the reference case. Fully integrated High World Oil Price World oil prices are $28.42 per barrel in 2020, compared to $22.41 per barrel in the reference case. Fully integrated Residential: 2001 Technology

84

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect (OSTI)

This document is a composite of roadmap assumptions developed for the Idaho National Engineering Laboratory (INEL) by the US Department of Energy Idaho Field Office and subcontractor personnel as a key element in the implementation of the Roadmap Methodology for the INEL Site. The development and identification of these assumptions in an important factor in planning basis development and establishes the planning baseline for all subsequent roadmap analysis at the INEL.

Not Available

1993-05-01T23:59:59.000Z

85

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

SciTech Connect (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

86

Well casing-based geophysical sensor apparatus, system and method  

DOE Patents [OSTI]

A geophysical sensor apparatus, system, and method for use in, for example, oil well operations, and in particular using a network of sensors emplaced along and outside oil well casings to monitor critical parameters in an oil reservoir and provide geophysical data remote from the wells. Centralizers are affixed to the well casings and the sensors are located in the protective spheres afforded by the centralizers to keep from being damaged during casing emplacement. In this manner, geophysical data may be detected of a sub-surface volume, e.g. an oil reservoir, and transmitted for analysis. Preferably, data from multiple sensor types, such as ERT and seismic data are combined to provide real time knowledge of the reservoir and processes such as primary and secondary oil recovery.

Daily, William D. (Livermore, CA)

2010-03-09T23:59:59.000Z

87

Introduction to the Computational Intelligence Special Issue to Appear in 2001 Maintaining Case-Based Reasoning Systems  

E-Print Network [OSTI]

-Based Reasoning Systems Case-based reasoning CBR is the process of reasoning and learning by storing prior cases to sustaining and improving the e ciency and solution quality of CBR systems as their 1 #12;case-bases grow with the overall case-based reasoning process. Reinartz, Iglezakis, and Roth-Berghofer's article On Quality

Leake, David B.

88

Two Case Studies on Vision-based Moving Objects Measurement  

E-Print Network [OSTI]

the two counterparts in robustness, speed, and accuracy. In the second case, we used a camera-mirror system to measure the swimming motion of a live fish and the extracted motion data was used to drive animation of fish behavior. The camera-mirror system...

Zhang, Ji

2012-10-19T23:59:59.000Z

89

Cost-sensitive case-based reasoning using a genetic algorithm: Application to medical diagnosis  

Science Journals Connector (OSTI)

Objective: The paper studies the new learning technique called cost-sensitive case-based reasoning (CSCBR) incorporating unequal misclassification cost into CBR model. Conventional CBR is now considered as a suitable technique for diagnosis, prognosis ... Keywords: Breast cancer, Cost-sensitive case-based reasoning, Diabetes, Genetic algorithm, Heart disease, Hepatitis, Medical diagnosis, Misclassification cost

Yoon-Joo Park; Se-Hak Chun; Byung-Chun Kim

2011-02-01T23:59:59.000Z

90

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

91

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

92

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

93

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

94

COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1  

E-Print Network [OSTI]

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

Pantaleone, Jim

95

Reasoning by Assumption: Formalisation and Analysis of Human Reasoning Traces  

E-Print Network [OSTI]

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

Treur, Jan

96

A case study: demands on component-based development  

Science Journals Connector (OSTI)

Building software systems with reusable components brings many advantages. The development becomes more efficient, the realibility of the products is enhanced, and the maintenance requirement is significantly reduced. Designing, developing and maintaining ... Keywords: architecture, component-based development, development environment, reuse, standard components

Ivica Crnkovic; Magnus Larsson

2000-06-01T23:59:59.000Z

97

Load flow analysis: Base cases, data, diagrams, and results  

SciTech Connect (OSTI)

This report describes how an electric utility system is modeled by using load flow techniques to establish a validated power flow case suitable for simulating and evaluating alternative system scenarios. Details of the load flow model are supported by additional technical and descriptive information intended to correlate modeled electrical system parameters with the corresponding physical equipment that makes up the system. Pictures and technical specifications of system equipment from the utility, public, or vendor are provided to support this association for many system components. The report summarizes the load flow model construction, simulation, and validation and describes the general capabilities of an information query system designed to access load flow parameters and other electrical system information.

Portante, E.C.; Kavicky, J.A.; VanKuiken, J.C.; Peerenboom, J.P.

1997-10-01T23:59:59.000Z

98

Help desk architecture for a u-learning system characterized by the use of probabilistic reasoning-based search of a case base  

Science Journals Connector (OSTI)

This paper proposes an architecture for a help desk for a u-learning system. The architecture is characterized by the use of a case base search based on probabilistic reasoning. This case base search method uses indices that represent the relationships ... Keywords: Bayesian network, case base search, help desk, parameter tuning, probabilistic reasoning

Yoshitaka Fujiwara; Satoki Abe; Yasunari Maeda; Hideki Yoshida

2008-03-01T23:59:59.000Z

99

Assessment of a Product Range Model concept to support design reuse using rule based systems and case based reasoning  

Science Journals Connector (OSTI)

Knowledge reuse is recognised as a key element to support agile and effective decision-making processes during product development. The provision of information and knowledge for reuse relies on defined information structures and requires computational ... Keywords: Case based reasoning, Design reuse, Extended information models, Product Range Model, Rule based systems

Carlos Alberto Costa; Marcos Alexandre Luciano; Celson Pantoja Lima; Robert I. M. Young

2012-04-01T23:59:59.000Z

100

Six Sigma in banking services: a case study based approach  

Science Journals Connector (OSTI)

Six Sigma is not merely a quality initiative; it is a business initiative. The use of Six Sigma methodology is more valuable in financial institutions now than it has ever been and companies are now reaping true savings and revenue growth. It follows the Define-Measure-Analyse-Improve-Control (DMAIC) approach to problem solving and to identify the areas for improvement. Either the voice of the customer or voice of business acts as a source for identification of major improvement areas. This paper presents an extensive review on Six Sigma, and application of Six Sigma in banking services. The wider applicability of Six Sigma depends on identification of key performance indicators for different types of service processes. A case study is conducted in banking services to identify, analyse and improve upon critical to quality characteristics and key performance indicators within the different processes. The study was initiated with a view to identify the feeble areas in overall transaction and improve upon those which would be of maximum benefit to the company.

Indu Uprety

2009-01-01T23:59:59.000Z

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


101

MEMS Design Synthesis: Integrating Case-based Reasoning and Multi-objective Genetic Algorithms  

E-Print Network [OSTI]

MEMS Design Synthesis: Integrating Case-based Reasoning and Multi-objective Genetic Algorithms designs concepts. Surface micro-machined resonators are used as an example to introduce this integrated human design knowledge in the form of past successful MEMS design cases to help guide human designers

Agogino, Alice M.

102

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":""}]}

103

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

Broader source: Energy.gov (indexed) [DOE]

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.

104

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

105

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

106

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

107

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

108

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.

109

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

110

Evaluation of a case-based Reasoning Energy Prediction Tool for Commercial Buildings  

E-Print Network [OSTI]

This paper presents the results of an energy predictor that predicts the energy demand of commercial buildings using Case Based Reasoning (CBR). The proposed approach is evaluated using monitored data in a real office building located in Varennes...

Monfet, D.; Arkhipova, E.; Choiniere, D.

2013-01-01T23:59:59.000Z

111

Improving a Distributed Case-Based Reasoning System Using Introspective Learning  

Science Journals Connector (OSTI)

This paper describes the improvements to a fielded case-based reasoning (CBR) system. The system, called Really Cool Air is a distributed application that supports engineering sales staff. The application op...

Ian Watson; Dan Gardingen

2000-01-01T23:59:59.000Z

112

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.

113

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.

114

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.

115

Case-study of a coal gasification-based energy supply system for China  

E-Print Network [OSTI]

clean fuels derived via coal gasification. Emissions of air pollutants in the SC scenario are compared polygeneration technologies to meet energy needs of coal-rich areas. Polygeneration systems, based on coalCase-study of a coal gasification-based energy supply system for China Zheng Hongtao Department

116

A Conceptual Framework for Semantic Case-based Safety Analysis Olawande Daramola, Tor Stlhane  

E-Print Network [OSTI]

.biffl}@tuwien.ac.at Abstract Hazard and Operability (HAZOP) Analysis and Fail- ure Mode and Effect Analysis (FMEA) are among-based framework for safety analy- sis, which facilitates the reuse of previous HAZOP and FMEA experiences in order application. Key words: Safety analysis, HAZOP, FMEA, ontology, requirements, case-based reasoning, natural

117

Free-Ridership in the Standards-Setting Process: The Case of 10BaseT  

E-Print Network [OSTI]

Free-Ridership in the Standards-Setting Process: The Case of 10BaseT Martin B.H. Weiss Ronald T to their non-exclusionary nature, are subject to free riders. In this paper, we consider free ridership that free-ridership existed in the development of the 10BaseT standard and in the subsequent product market

118

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

119

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

120

Diversion assumptions for high-powered research reactors  

SciTech Connect (OSTI)

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

Binford, F.T.

1984-01-01T23:59:59.000Z

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


121

Assumptions to the Annual Energy Outlook 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.

122

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.

123

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).

124

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.

125

The contour method cutting assumption: error minimization and correction  

SciTech Connect (OSTI)

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

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

2010-01-01T23:59:59.000Z

126

Diagnosis Support System based on clinical guidelines: comparison between Case-Based Fuzzy Cognitive Maps and Bayesian Networks  

Science Journals Connector (OSTI)

Several studies have described the prevalence and severity of diagnostic errors. Diagnostic errors can arise from cognitive, training, educational and other issues. Examples of cognitive issues include flawed reasoning, incomplete knowledge, faulty information ... Keywords: Bayesian network, Case based fuzzy cognitive maps, Decision support system, Knowledge representation, Practice guideline, Semantic web

Nassim Douali; Huszka Csaba; Jos De Roo; Elpiniki I. Papageorgiou; Marie-Christine Jaulent

2014-01-01T23:59:59.000Z

127

2.0 Closed-Domain Hydrate Dissociation (Base Case w/ Hydrate  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Closed-Domain Hydrate Dissociation (Base Case w/ Hydrate) Closed-Domain Hydrate Dissociation (Base Case w/ Hydrate) 2.1 Problem Description One half of a 20-m, one-dimensional horizontal domain, discretized using uniformly spaced 1-m grid cells (optionally 0.1-m grid cells) is initialized with aqueous-hydrate conditions; whereas, the other half of the domain is initialized with gas-aqueous conditions. As with the Base Case problem, a closed horizontal domain is used to eliminate gravitational body forces and boundary condition effects. The initial conditions are specified to yield complete dissociation of the hydrate, via the thermal capacitance of the domain-half initialized with gas-aqueous conditions. To initialize the aqueous-hydrate half of the domain, temperature, pressure, and hydrate saturation are

128

Strategic backdrop analysis for fossil fuel planning. Task 2 report (New Task Series), The Base Case. Report 473-117-08/01  

SciTech Connect (OSTI)

This report describes a base case analysis performed using the strategic backdrop analytical framework developed by The Futures Group to facilitate fossil fuel planning within the Department of Energy. It builds upon the data base compiled in the default case previously submitted but uses a different set of energy technology assumptions. Objectives of the strategic backdrop analysis project are: (1) to delineate alternative socioeconomic futures or target worlds for the United States and to derive, for each world, the amount of energy needed to sustain its level of economic activity and lifestyle, assuming no technological changes; (2) to construct an analytical framework that accounts for the flow of energy from the disaggregated end-use target demand sectors back through the distribution and conversion processes to primary resource requirements; (3) to use this framework 1) to analyze how alternative government policies and associated new technologies can change the primary resource needs and fuel mix while still providing the same level of end-use energy service for the target world, and 2) to highlight resource constraints, program inconsistencies, and economic, environmental, and social implications; (4) to transfer to DOE personnel the methodology for generating energy targets and accounting for important characteristics of alternative energy policies and technologies.

Not Available

1980-08-01T23:59:59.000Z

129

EIA - Assumptions to the Annual Energy Outlook 2008 - Natural Gas  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2008 Natural Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each projection year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

130

Assumptions to the Annual Energy Outlook - Transportation Demand Module  

Gasoline and Diesel Fuel Update (EIA)

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

131

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

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 12 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS27 data.

132

EIA - Assumptions to the Annual Energy Outlook 2008 - Petroleum Market  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2008 Petroleum Market Module Figure 9. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Petroleum Market Module (PMM) projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, bioesters, corn, biomass, and coal), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining

133

EIA-Assumptions to the Annual Energy Outlook - Macroeconomic Activity  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2007 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2007), (Washington, DC, January 2007).

134

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

Gasoline and Diesel Fuel Update (EIA)

International Energy Module International Energy Module Assumptions to the Annual Energy Outlook 2006 The International Energy Module determines changes in the world oil price and the supply prices of crude oils and petroleum products for import to the United States in response to changes in U.S. import requirements. A market clearing method is used to determine the price at which worldwide demand for oil is equal to the worldwide supply. The module determines new values for oil production and demand for regions outside the United States, along with a new world oil price that balances supply and demand in the international oil market. A detailed description of the International Energy Module is provided in the EIA publication, Model Documentation Report: The International Energy Module of the National Energy Modeling System, DOE/EIA-M071(06), (Washington, DC, February 2006).

135

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

7 7 1 (AEO2007), including general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are the most significant to formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports. 2 A synopsis of NEMS, the model components, and the interrelationships of the modules is presented in The National Energy Modeling System: An Overview 3 , which is updated once every few years. The National Energy Modeling System The projections in the AEO2007 were produced with the National Energy Modeling System. NEMS is developed and maintained by the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projections of domestic energy-economy markets in the long term and

136

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

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2006 The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

137

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

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2008 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

138

EIA - Assumptions to the Annual Energy Outlook 2009 - Macroeconomic  

Gasoline and Diesel Fuel Update (EIA)

Macroeconomic Activity Module Macroeconomic Activity Module Assumptions to the Annual Energy Outlook 2010 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents the interaction between the U.S. economy as a whole and energy markets. The rate of growth of the economy, measured by the growth in gross domestic product (GDP) is a key determinant of the growth in demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets by the aggregate economy, such as a slowdown in economic growth resulting from increasing energy prices, are also reflected in this module. A detailed description of the MAM is provided in the EIA publication, Model Document>ation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2009), (Washington, DC, January 2009).

139

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

140

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).

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


141

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

142

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

143

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

144

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.

145

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

146

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).

147

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

148

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).

149

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).

150

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

151

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

152

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

153

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.

154

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

155

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.

156

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].

157

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

158

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

159

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),

160

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

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


161

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

162

A case-based distance model for multiple criteria ABC analysis  

Science Journals Connector (OSTI)

In ABC analysis, a well-known inventory planning and control technique, stock-keeping units (SKUs) are sorted into three categories. Traditionally, the sorting is based solely on annual dollar usage. The aim of this paper is to introduce a case-based multiple-criteria ABC analysis that improves on this approach by accounting for additional criteria, such as lead time and criticality of SKUs, thereby providing more managerial flexibility. Using decisions from cases as input, preferences over alternatives are represented intuitively using weighted Euclidean distances which can be easily understood by a decision maker. Then a quadratic optimization program finds optimal classification thresholds. This system of multiple criteria decision aid is demonstrated using an illustrative case study.

Ye Chen; Kevin W. Li; D. Marc Kilgour; Keith W. Hipel

2008-01-01T23:59:59.000Z

163

Study on intelligent contract information configuration and analysis by case-based reasoning  

Science Journals Connector (OSTI)

This paper presents an intelligent contract analysis and processing method, which can process a mass of contract information to meet the various demands of the enterprises. Here contracts are properly decomposed and configured according to their important ... Keywords: case-based reasoning (CBR), contract intelligent configuration, contract intelligent processing, data mining, knowledge database

Yi Sun; Jianrong Tan; Yalang Mao; Ming Lou

2006-04-01T23:59:59.000Z

164

Learning teamwork behaviors approach: learning by observation meets case-based planning  

Science Journals Connector (OSTI)

Learning collaborative behaviors is an essential part of multi agent systems. One of the suitable techniques for learning collaborative behaviors is observational learning. This paper describes a hybrid method for learning teamwork behaviors from an ... Keywords: case-based planning, collaborative behavior, learning collaborative behaviors, multi agent learning, observational learning, soccer, teamwork

Banafsheh Rekabdar; Bita Shadgar; Alireza Osareh

2012-09-01T23:59:59.000Z

165

VoIP-based Intra-village Teleconnectivity: An Architecture and Case Study  

E-Print Network [OSTI]

VoIP-based Intra-village Teleconnectivity: An Architecture and Case Study Janak Chandarana, K of the village. As proof- of-concept, we deploy the proposed solution in a rural test-bed and report our expensive to connect all villages to their nearest PoP. Income levels for rural India are lower than

Iyer, Sridhar

166

IMPROVING CARE AT THE END OF LIFE: AN AUTOMATED CASE-BASED REASONING APPROACH  

E-Print Network [OSTI]

IMPROVING CARE AT THE END OF LIFE: AN AUTOMATED CASE-BASED REASONING APPROACH Suzanne Tamang younger patients. Targeting system wide "error- reducing" reforms at vulnerable populations (who are disproportionately affected, both in terms of incidence and severity) can improve the quality of care delivered

Kopec, Danny

167

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

168

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).

169

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

170

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).

171

Testing assumptions and predictions of star formation theories  

Science Journals Connector (OSTI)

......are uncommon also in driven, MHD supersonic, isothermal turbulent...whether this result persists in the MHD case. As in Paper I, we subdivide...distribution of points in this diagram becomes more elongated in the...0.35 to 0.5, the present MHD simulations exhibit a weaker......

Alejandro Gonzlez-Samaniego; Enrique Vzquez-Semadeni; Ricardo F. Gonzlez; Jongsoo Kim

2014-01-01T23:59:59.000Z

172

Evaluating case-based decision theory: Predicting empirical patterns of human classification learning  

Science Journals Connector (OSTI)

Abstract We introduce a computer program which calculates an agent?s optimal behavior according to case-based decision theory (Gilboa and Schmeidler, 1995) and use it to test CBDT against a benchmark set of problems from the psychological literature on human classification learning (Shepard et al., 1961). This allows us to evaluate the efficacy of CBDT as an account of human decision-making on this set of problems. We find: (1) The choice behavior of this program (and therefore case-based decision theory) correctly predicts the empirically observed relative difficulty of problems and speed of learning in human data. (2) Similarity (how CBDT decision makers extrapolate from memory) is decreasing in vector distance, consistent with evidence in psychology (Shepard, 1987). (3) The best-fitting parameters suggest humans aspire to an 80 85 % success rate, and humans may increase their aspiration level during the experiment. (4) Average similarity is rejected in favor of additive similarity.

Andreas Duus Pape; Kenneth J. Kurtz

2013-01-01T23:59:59.000Z

173

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

E-Print Network [OSTI]

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

Van Den Eijnden, Eric

174

Comparing internal and alliance-based New Product Development processes: case studies in the food industry  

Science Journals Connector (OSTI)

This paper reports a comparative two-case design study of in-house NPD projects as well as alliance-based NPD projects in a food company. Two contradicting propositions of the efficiency of NPD in an alliance compared with NPD performed internally are stated, and the findings indicate that the alliance-based NPD solution creates a better context for NPD than the in-house solution. The observed pattern may be interpreted in terms of the framework developed by evolutionary economics, which states that what a firm can do is mainly determined by its organisationally embedded routines.

Nina Veflen Olsen; Geir Gripsrud

2011-01-01T23:59:59.000Z

175

EIA-Assumptions to the Annual Energy Outlook - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2007 Residential Demand Module Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the "unit energy consumption" by appliance (or UEC-in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new

176

Regionalized LCA-Based Optimization of Building Energy Supply: Method and Case Study for a Swiss Municipality  

Science Journals Connector (OSTI)

Regionalized LCA-Based Optimization of Building Energy Supply: Method and Case Study for a Swiss Municipality ... This paper presents a regionalized LCA-based multiobjective optimization model of building energy demand and supply for the case of a Swiss municipality for the minimization of greenhouse gas emissions and particulate matter formation. ... A suitable method for such analyses is life cycle assessment (LCA). ...

Dominik Saner; Carl Vadenbo; Bernhard Steubing; Stefanie Hellweg

2014-05-27T23:59:59.000Z

177

Tool support for generating model-based test cases via web  

Science Journals Connector (OSTI)

Testing activities play an important role in order to obtain high quality software products. These activities become more important when considering critical software, for instance, space application software. Nowadays, there is an extensive collaboration among space institutions. So, it is more than natural to expect distributed development of software and software testing activities. Therefore, a collaborative tool hosted on the internet becomes quite useful. In this respect, WEB-PerformCharts 2.0 tool discussed in this paper moves in this direction. The tool focuses on supporting a single aspect of distributed software development: the activity of generating test cases via web. Moreover, it allows model-based test case generation by means of formal methods (formal languages statecharts and FSM) which are considered state of the art in software development. WEB-PerformCharts 2.0 can be used to generate test cases for any kind of reactive systems modelled in statecharts or FSM. We present three case studies in different application domains to demonstrate the feasibility of our tool.

Alessandro Oliveira Arantes; Valdivino Alexandre De Santiago Júnior; Nandamudi Lankalapalli Vijaykumar; Erica Ferreira De Souza

2014-01-01T23:59:59.000Z

178

Appendix E: Other NEMS-MP results for the base case and scenarios.  

SciTech Connect (OSTI)

The NEMS-MP model generates numerous results for each run of a scenario. (This model is the integrated National Energy Modeling System [NEMS] version used for the Multi-Path Transportation Futures Study [MP].) This appendix examines additional findings beyond the primary results reported in the Multi-Path Transportation Futures Study: Vehicle Characterization and Scenario Analyses (Reference 1). These additional results are provided in order to help further illuminate some of the primary results. Specifically discussed in this appendix are: (1) Energy use results for light vehicles (LVs), including details about the underlying total vehicle miles traveled (VMT), the average vehicle fuel economy, and the volumes of the different fuels used; (2) Resource fuels and their use in the production of ethanol, hydrogen (H{sub 2}), and electricity; (3) Ethanol use in the scenarios (i.e., the ethanol consumption in E85 vs. other blends, the percent of travel by flex fuel vehicles on E85, etc.); (4) Relative availability of E85 and H2 stations; (5) Fuel prices; (6) Vehicle prices; and (7) Consumer savings. These results are discussed as follows: (1) The three scenarios (Mixed, (P)HEV & Ethanol, and H2 Success) when assuming vehicle prices developed through literature review; (2) The three scenarios with vehicle prices that incorporate the achievement of the U.S. Department of Energy (DOE) program vehicle cost goals; (3) The three scenarios with 'literature review' vehicle prices, plus vehicle subsidies; and (4) The three scenarios with 'program goals' vehicle prices, plus vehicle subsidies. The four versions or cases of each scenario are referred to as: Literature Review No Subsidies, Program Goals No Subsidies, Literature Review with Subsidies, and Program Goals with Subsidies. Two additional points must be made here. First, none of the results presented for LVs in this section include Class 2B trucks. Results for this class are included occasionally in Reference 1. They represent a small, though noticeable, segment of the 'LV plus 2B' market (e.g., a little more than 3% of today's energy use in that market). We generally do not include them in this discussion, simply because it requires additional effort to combine the NEMS-MP results for them with the results for the other LVs. (Where there is an exception, we will indicate so.) Second, where reference is made to E85, the ethanol content is actually 74%. The Energy Information Administration (EIA) assumes that, to address cold-starting issues, the percent of ethanol in E85 will vary seasonally. The EIA uses an annual average ethanol content of 74% in its forecasts. That assumption is maintained in the NEMS-MP scenario runs.

Plotkin, S. E.; Singh, M. K.; Energy Systems

2009-12-03T23:59:59.000Z

179

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

12 12 . Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost

180

Assumptions to the Annual Energy Outlook 1999 - Footnotes  

Gasoline and Diesel Fuel Update (EIA)

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

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


181

Assumptions to the Annual Energy Outlook 2001 - Footnotes  

Gasoline and Diesel Fuel Update (EIA)

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

182

Assumptions to the Annual Energy Outlook 2007 Report  

Gasoline and Diesel Fuel Update (EIA)

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

183

Assumptions to the Annual Energy Outlook 2002 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

184

Assumptions to the Annual Energy Outlook 2001 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and

185

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

SciTech Connect (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

186

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

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind108. Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind108. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

187

Assumptions to the Annual Energy Outlook 2000 - Footnote  

Gasoline and Diesel Fuel Update (EIA)

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

188

Assumptions to the Annual Energy Outlook 2000 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module (RFM) consists of five distinct submodules that represent the major renewable energy technologies. Although it is described here, conventional hydroelectric is included in the Electricity Market Module (EMM) and is not part of the RFM. Similarly, ethanol modeling is included in the Petroleum Market Module (PMM). Some renewables, such as municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not require the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was an original source of electricity generation, to newer power systems using wind, solar, and geothermal energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

189

Assumptions to the Annual Energy Outlook 1999 - Renewable Fuels Module  

Gasoline and Diesel Fuel Update (EIA)

renewable.gif (4875 bytes) renewable.gif (4875 bytes) The NEMS Renewable Fuels Module (RFM) consists of five distinct submodules that represent the major renewable energy technologies. Although it is described here, conventional hydroelectric is included in the Electricity Market Module (EMM) and is not part of the RFM. Similarly, ethanol modeling is included in the Petroleum Market Module (PMM). Some renewables, such as municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as wind and solar radiation, are energy sources that do not require the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was an original source of electricity generation, to newer power systems using wind, solar, and geothermal energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittence, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon low-cost energy storage.

190

Usage of Case-based Reasoning in FMEA-driven Software  

Science Journals Connector (OSTI)

Abstract Failure Mode and Effect Analysis (FMEA) is among the most widely used safety analysis procedures in the various industries. The procedure is generally perceived as complex and time-consuming, hindering an effective reuse of previous knowledge. In this paper we present an innovative usage of knowledge system into FMEA process using the Case-based reasoning to reduce the time and effort associated with this analysis. Knowledge system is built to serve multi-projects work that nowadays are in place in any manufacturing or services provider, and knowledge must be retained and reused at the company level and not only at project level. Collaboration is assured trough web-based GUI that supports multiple users access at any time. Initial results confirm the viability of this system for industrial application.

Gabriela Cndea; Stefania Kifor; Carmen Constantinescu

2014-01-01T23:59:59.000Z

191

Energy performance based connection fees: A case study in New York State  

Science Journals Connector (OSTI)

Energy connection fees and rebates, based on the projected energy load or efficiency of new buildings are currently being considered as a policy option for promoting greater energy efficiency in new construction. In theory, a well designed system of connection fees and rebates could provide states and utilities with a revenue neutral means of creating direct financial incentives for the construction of more energy-efficient buildings. However, a recent case study in New York State found that, in practice, many of the most important features affecting building energy efficiency could not be easily incorporated in connection fee programmes, and that implementation of even a scaled down programme would require a level of administrative commitment and resources which would be difficult to maintain. Instead of implementing connection fee programmes, the authors recommend devoting more resources to an approach based on the combined use of building energy rating systems, enhanced codes with better enforcement, and strategically placed financial incentives and design assistance.

Robert M. Wirtshafter; Eric W. Hildebrandt

1992-01-01T23:59:59.000Z

192

Assumptions to the Annual Energy Outlook 1999 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

residential.gif (5487 bytes) residential.gif (5487 bytes) The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

193

Assumptions to the Annual Energy Outlook 2000 - Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimates of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment installed in new units, retires existing housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type (single-family, multifamily and mobile homes) and Census Division and prices for each energy source for each of the nine Census Divisions. The Residential Demand Module also requires projections of available equipment over the forecast horizon. Over time, equipment efficiency tends to increase because of general technological advances and also because of Federal and/or state efficiency standards. As energy prices and available equipment changes over the forecast horizon, the module includes projected changes to the type and efficiency of equipment purchased as well as projected changes in the usage intensity of the equipment stock.

194

Assumptions to the Annual Energy Outlook 1999 - Acronyms  

Gasoline and Diesel Fuel Update (EIA)

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

195

Assumptions to the Annual Energy Outlook 2002 - Electricity Market Module  

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 2002, DOE/EIA- M068(2002) January 2002. 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

196

Assumptions to the Annual Energy Outlook 2001 - Electricity Market Module  

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 2001, DOE/EIA- M068(2001) January 2001. 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

197

Childhood leukemia and electromagnetic fields: results of a population-based case-control study in Germany  

Science Journals Connector (OSTI)

The investigation of an association between increased exposure toresidential extremely-low frequency elec-tromagnetic fields (ELF-EMF) andchildhood leukemia was part of a population-based case-control study ca...

Jrg Michaelis; Joachim Schz; Rolf Meinert; Michael Menger

1997-01-01T23:59:59.000Z

198

Wind energy integration into future energy systems based on conventional plants The case study of Croatia  

Science Journals Connector (OSTI)

Abstract Croatian energy system is currently highly import-dependent and integration of a high share of renewable energy sources needs to be considered. This paper studies eight scenarios; three proposed by the Croatian Energy Strategy, one proposed by the Indicative medium-term development plan of Croatias Transmission System Operator, and four alternative scenarios that propose extensive construction of hydro, wind and solar power plants in Croatia. Calculations have been conducted in the EnergyPLAN model based on modeled long term energy demand projections in the NeD model, with 2009 as the base year and a scope ranging until the year 2030. Each of the eight proposed scenarios is observed through different hydrological conditions while analyzing import dependency, economic costs and CO2 emissions. After the initial calculations, additional analysis of intensive wind power penetration has been conducted. The Results show that energy systems with a larger share of conventional and nonflexible power plants have more difficulty adjusting to wind power plants production. In case of a high share penetration of wind in a system based upon such power plants, the feasibility of investing in new large combustion plants that will spend most of the time working on minimum capacity is brought into question.

Tin Cerovac; Boris ?osi?; Tomislav Pukec; Neven Dui?

2014-01-01T23:59:59.000Z

199

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

E-Print Network [OSTI]

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

Silvertown, Jonathan

200

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

E-Print Network [OSTI]

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

Luding, Stefan

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


201

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

E-Print Network [OSTI]

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

Lee, Dong Heon

2012-06-07T23:59:59.000Z

202

Traffic-related air toxics and preterm birth: a population-based case-control study in Los Angeles County, California  

E-Print Network [OSTI]

air pollution exposures and preterm birth based on single pollutant models Exposure Metric Adjusted a Crude N (cases, controls)

Wilhelm, Michelle; Ghosh, Jo Kay; Su, Jason; Cockburn, Myles; Jerrett, Michael; Ritz, Beate

2011-01-01T23:59:59.000Z

203

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

Gasoline and Diesel Fuel Update (EIA)

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

204

ANUDlSiTM-40 Load Flow Analysis: Base Cases, Data, Diagrams, and Results  

Office of Scientific and Technical Information (OSTI)

ANUDlSiTM-40 ANUDlSiTM-40 Load Flow Analysis: Base Cases, Data, Diagrams, and Results by E.C. Portante, J.A. Kavicky, J.C. VanKuiken, and J.P. Peerenboom Decision and Information Sciences Division, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, Illinois 60439 October 1997 Work sponsored by Navy Engineering Logistics Office This report is printed on recycled paper. @ DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness. or use- fulness of any information, apparatus, product, or process disclosed, or represents

205

Reusability based on Life Cycle Sustainability Assessment: Case Study on WEEE  

Science Journals Connector (OSTI)

Abstract Reuse is one of the key strategies of Waste Electrical and Electronic Equipment (WEEE) recycling system in China. Reuse can help realize eco-efficient and sustainable WEEE management, with environmentally friendly materials recovery. At present, reusability of products and components is determined only by the products functional situation or the economic cost benefit analysis. It does not cover all the three pillars of sustainability, including environment, economy and society. In this study, the emerging integrated method, Life Cycle Sustainability Assessment (LCSA), is employed to measure reusability of typical electrical and electronic products and components. The results of case studies show that, LCSA based reusability of typical electrical and electronic products and components will help improve WEEE management policy.

Bin Lu; Bo Li; Lihui Wang; Jianxin Yang; Jingru Liu; Xi Vincent Wang

2014-01-01T23:59:59.000Z

206

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

SciTech Connect (OSTI)

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

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

2014-04-01T23:59:59.000Z

207

HBDR: a case-based tool for organizing architectural information on historic building designs  

E-Print Network [OSTI]

. 5 Searching a case: Browse screens . 56 . . 58 6 General information about the design case . 59 7 Detail information about the design case. 8 Search screens for browse feedback . 60 . . 61 9 Student's feedback for a design case . . 62 10 Add... required to search the software . . . . . . 76 8 Responses about the software's functions 77 9 Summary of responses for comparative testing between two methods. . . . . . . . . . . . 78 CHAPTER I INTRODUCTION Recent developments in the field...

Mulye, Leena

2012-06-07T23:59:59.000Z

208

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

E-Print Network [OSTI]

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

Webster, Tom; Benedek, Corinne; Bauman, Fred

2008-01-01T23:59:59.000Z

209

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

Science Journals Connector (OSTI)

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

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

2012-12-01T23:59:59.000Z

210

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

Broader source: Energy.gov [DOE]

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

211

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

E-Print Network [OSTI]

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

Bernhard Rothenstein; Ioan Damian

2005-07-03T23:59:59.000Z

212

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

Science Journals Connector (OSTI)

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

Stanley Sloan

2000-01-01T23:59:59.000Z

213

A fault-tolerant framework for QoS-aware web service composition via case-based reasoning  

Science Journals Connector (OSTI)

Service-oriented systems are performed in a highly dynamic and heterogeneous environment to achieve a user's business requirements. In this paper, we introduce a case-based reasoning approach to improve the system's fault-tolerant ability meeting the end-to-end Quality-of-Service (QoS) constraints. We consider and quantify the fault information and QoS information together in a case. In addition, one case also includes one solution to cope with the corresponding fault. When a new fault occurs, its failure symptoms are extracted and matched against the case base to look for the most similar case. Furthermore, solution templates are presented considering the business process structure features. We also develop an influential region-based algorithm to minimise the handle cost. Based on our proposed method, a fault-tolerant framework is implemented. Comprehensive experiments are conducted employing a real QoS dataset and the experimental results show that our approach improves the fault-tolerant capability encouragingly.

Guoqiang Li; Lejian Liao; Dandan Song; Zibin Zheng

2014-01-01T23:59:59.000Z

214

Bases, Assumptions, and Results of the Flowsheet Calculations for the Decision Phase Salt Disposition Alternatives  

SciTech Connect (OSTI)

The HLW salt waste (salt cake and supernate) now stored at the SRS must be treated to remove insoluble sludge solids and reduce the soluble concentration of radioactive cesium radioactive strontium and transuranic contaminants (principally Pu and Np). These treatments will enable the salt solution to be processed for disposal as saltstone, a solid low-level waste.

Elder, H.H.

2001-07-11T23:59:59.000Z

215

Overview of energy-conserving development planning and design techniques based on five case studies  

SciTech Connect (OSTI)

Findings and recommendations are presented of a review of five case studies of ways to conserve energy through development planning and site design in communities. Two approaches were used. In the first approach, a conventional, pre-existing plan was analyzed to determine potential energy use. Once energy-conservation options were identified and evaluated, the conventional plan was modified by employing those options. This approach was used in The Woodlands, Burke Center, and Radisson studies. In the second approach, energy-conservation options are independently identified and evaluated. Those options that passed specific criteria screening were then utilized in developing one or more totally new plans based on energy objectives. This approach was used in Greenbrier and Shenandoah. Radisson is a new town on the outskirts of Syracuse, New York. Greenbrier is a 3000 acre planned community adjacent to Norfolk and Virginia Beach. Shenandoah is a proposed new town in the Atlanta urbanized area. The Woodlands is a new community under development north of Houston. Burke Center is a residential planned unit development in Fairfax County, Virgnia. (MCW)

Not Available

1980-06-01T23:59:59.000Z

216

Habitat-Lite: A GSC case study based on free text terms for environmental metadata  

SciTech Connect (OSTI)

There is an urgent need to capture metadata on the rapidly growing number of genomic, metagenomic and related sequences, such as 16S ribosomal genes. This need is a major focus within the Genomic Standards Consortium (GSC), and Habitat is a key metadata descriptor in the proposed 'Minimum Information about a Genome Sequence' (MIGS) specification. The goal of the work described here is to provide a light-weight, easy-to-use (small) set of terms ('Habitat-Lite') that captures high-level information about habitat while preserving a mapping to the recently launched Environment Ontology (EnvO). Our motivation for building Habitat-Lite is to meet the needs of multiple users, such as annotators curating these data, database providers hosting the data, and biologists and bioinformaticians alike who need to search and employ such data in comparative analyses. Here, we report a case study based on semi-automated identification of terms from GenBank and GOLD. We estimate that the terms in the initial version of Habitat-Lite would provide useful labels for over 60% of the kinds of information found in the GenBank isolation-source field, and around 85% of the terms in the GOLD habitat field. We present a revised version of Habitat-Lite and invite the community's feedback on its further development in order to provide a minimum list of terms to capture high-level habitat information and to provide classification bins needed for future studies.

Kyrpides, Nikos; Hirschman, Lynette; Clark, Cheryl; Cohen, K. Bretonnel; Mardis, Scott; Luciano, Joanne; Kottmann, Renzo; Cole, James; Markowitz, Victor; Kyrpides, Nikos; Field, Dawn

2008-04-01T23:59:59.000Z

217

A case study of condition based maintenance modelling based upon the oil analysis data of marine diesel engines using stochastic filtering  

Science Journals Connector (OSTI)

This paper presents a case study of condition based maintenance modelling based on measured metal concentrations observed in oil samples of a fleet of marine diesel engines. The decision model for optimising the replacement time of the diesel engines conditional on observed measurements is derived and applied to the case discussed. We described the datasets, which were cleaned and re-organised according to the need of the research. The residual time distribution required in the decision model was formulated using a technique called stochastic filtering. Procedures for model parameter estimation are constructed and discussed in detail. The residual life model presented has been fitted to the case data, and the modelling outputs are discussed.

Wenbin Wang; B. Hussin; Tim Jefferis

2012-01-01T23:59:59.000Z

218

Achieving HR-Firm Performance Linkage through Organizational Strategy Implementation: Qualitative Case Studies of Four U.S. Based Firms  

E-Print Network [OSTI]

) implementation in four U.S. based distribution companies. A qualitative case study approach was utilized to answer the following research issues: 1) the role; 2) the extent of HRM&D involvement in LQS implementation and; 3) the effect on organizational...

Alagaraja, Meera

2012-02-14T23:59:59.000Z

219

Fuzzy Logic-based energy efficiency Life Cycle Assessment with a case study of corn-based fuel ethanol in China  

Science Journals Connector (OSTI)

A fuzzy logic based method of energy efficiency assessment of Biomass-based Fuel Ethanol (BFE) production is introduced in this paper. Energy relevant inventory variables are defined and described by fuzzy sets representing the differences in energy inventory data between the BFE system and its reference. A fuzzy reasoning process is developed to derive the energy efficiency from the fuzzificated inventory data. This method distinguishes itself by simple calculation, lower requirements of data accuracy and capability of processing subjectivity. A case study of corn-based fuel ethanol from Northeast China is conducted to demonstrate the application of the proposed method.

Suiran Yu; Jing Tao

2009-01-01T23:59:59.000Z

220

Comparing the performance of base map scales in GIS-based avalanche simulation: a case study from Palandken, Turkey  

Science Journals Connector (OSTI)

Snow avalanches are very complex and dynamic events that cause serious risk to human lives, infrastructure, and facilities in mountain environments. In this study, GIS-based avalanche simulations were investigate...

Abdurrahim Ayd?n

2010-10-01T23:59:59.000Z

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


221

VALIDATION OF PV PERFORMANCE MODELS USING SATELLITE-BASED IRRADIANCE MEASUREMENTS: A CASE STUDY  

E-Print Network [OSTI]

performance model results are affected when satellite- based weather data is used in place of ground from a relatively small number of locations. In contrast, satellite-based radiation and weather data (e performance models using both ground and satellite-based weather inputs and compare model results

Perez, Richard R.

222

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

E-Print Network [OSTI]

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

Ravikumar, B.

223

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

E-Print Network [OSTI]

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

Junker, Brian

224

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

E-Print Network [OSTI]

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

Nicoud, Franck

225

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

E-Print Network [OSTI]

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

Kent, University of

226

Linear model-based estimation of blood pressure and cardiac output for Normal and Paranoid cases  

Science Journals Connector (OSTI)

Provisioning a generic simple linear mathematical model for Paranoid and Healthy cases leading to auxiliary investigation of the neuroleptic drugs effect imposed on cardiac output (CO) and blood pressure (BP). Multi-input single output system identification ... Keywords: Blood pressure, Cardiac output, Heart rate, MISO transfer function, Stroke volume, System identification

Mohamed Abdelkader Aboamer, Ahmad Taher Azar, Khaled Wahba, Abdallah S. Mohamed

2014-11-01T23:59:59.000Z

227

An intelligent information access system assisting a case based learning methodology evaluated in higher education with medical students  

Science Journals Connector (OSTI)

In recent years there has been a shift in educational methodologies toward a student-centered approach, one which increasingly emphasizes the integration of computer tools and intelligent systems adopting different roles. In this paper we describe in detail the development of an Intelligent Information Access system used as the basis for producing and assessing a constructivist learning methodology with undergraduate students. The system automatically detects significant concepts available within a given clinical case and facilitates an objective examination, following a proper selection process of the case in which is taken into account the students knowledge level. The learning methodology implemented is intimately related to concept-based, case-based and internet-based learning. In spite of growing theoretical research on the use of information technology in higher education, it is rare to find applications that measure learning and students perceptions and compare objective results with a free Internet search. Our work enables students to gain understanding of the concepts in a case through Web browser interaction with our computer system identifying these concepts and providing direct access to enriched related information from Medlineplus, Freebase and PubMed. In order to evaluate the learning activity outcomes, we have done a trial run with volunteer students from a 2nd year undergraduate Medicine course, dividing the volunteers into two groups. During the activity all students were provided with a clinical case history and a multiple choice test with medical questions relevant to the case. This test could be done in two different ways: learners in one group were allowed to freely seek information on the Internet, while the other group could only search for information using the newly developed computer tool. In the latter group, we measured how students perceived the tools support for solving the activity and the Web interface usability, supplying them with a Likert questionnaire for anonymous completion. The particular case selected was a female with a medical history of heart pathology, from which the system derived medical terms closely associated with her condition description, her clinical evolution and treatment.

Fernando Aparicio; Manuel De Buenaga; Margarita Rubio; Asuncin Hernando

2012-01-01T23:59:59.000Z

228

Resource-based industrialization in Peninsular Malaysia. A case study of the rubber products manufacturing industry.  

E-Print Network [OSTI]

??This economic history and examination of the rubber products manufacturing industry in Peninsular Malaysia contributes to the subject of resource-based industrialization in the field of (more)

Goldthorpe, Christopher C.

2009-01-01T23:59:59.000Z

229

Validation of PV performance models using satellite-based irradiance measurements : a case study.  

SciTech Connect (OSTI)

Photovoltaic (PV) system performance models are relied upon to provide accurate predictions of energy production for proposed and existing PV systems under a wide variety of environmental conditions. Ground based meteorological measurements are only available from a relatively small number of locations. In contrast, satellite-based radiation and weather data (e.g., SUNY database) are becoming increasingly available for most locations in North America, Europe, and Asia on a 10 x 10 km grid or better. This paper presents a study of how PV performance model results are affected when satellite-based weather data is used in place of ground-based measurements.

Stein, Joshua S.; Parkins, Andrew (Clean Power Research); Perez, Richard (University at Albany)

2010-05-01T23:59:59.000Z

230

Sensitivity of Utility-Scale Solar Deployment Projections in the SunShot Vision Study to Market and Performance Assumptions  

SciTech Connect (OSTI)

The SunShot Vision Study explored the potential growth of solar markets if solar prices decreased by about 75% from 2010 to 2020. The ReEDS model was used to simulate utility PV and CSP deployment for this present study, based on several market and performance assumptions - electricity demand, natural gas prices, coal retirements, cost and performance of non-solar renewable technologies, PV resource variability, distributed PV deployment, and solar market supply growth - in addition to the SunShot solar price projections. This study finds that utility-scale solar deployment is highly sensitive to solar prices. Other factors can have significant impacts, particularly electricity demand and natural gas prices.

Eurek, K.; Denholm, P.; Margolis, R.; Mowers, M.

2013-04-01T23:59:59.000Z

231

Renewable Energy-Based Mini-Grid for Rural Electrification: Case Study of an Indian Village  

Science Journals Connector (OSTI)

Although off-grid electrification has become a cost-effective and ... individual options receive greater attention; and when mini-grid-based solutions are considered, traditionally a single ... energy technologie...

Rohit Sen; Subhes C. Bhattacharyya

2014-01-01T23:59:59.000Z

232

Approach for Designing Solar Photovoltaic-Based Mini-Grid Projects: A Case Study from India  

Science Journals Connector (OSTI)

Having the largest rural population in the world, India confronts a huge challenge for rural electrification, especially for electrifying remote, forested and tribal habitations. Solar Photovoltaic-based mini-grids

K. Rahul Sharma; Debajit Palit

2014-01-01T23:59:59.000Z

233

Rights-based evaluation of government responses to a given 'natural' disaster : Katrina as case study  

E-Print Network [OSTI]

Disaster impacts human mobility and a rights-based approach to disaster response is needed to protect the human rights of those who seek migration as an adaptation strategy. This paper deals with returning to a place after ...

Haeffner, Melissa (Melissa Ann)

2010-01-01T23:59:59.000Z

234

Collective action for community-based hazard mitigation: a case study of Tulsa project impact  

E-Print Network [OSTI]

During the past two decades, community-based hazard mitigation (CBHM) has been newly proposed and implemented as an alternative conceptual model for emergency management to deal with disasters comprehensively in order to curtail skyrocketing...

Lee, Hee Min

2005-11-01T23:59:59.000Z

235

Localized change management in two cases : supply base cost escalation and obsolescence management  

E-Print Network [OSTI]

There are several models for change available to modern organizations based on decades of research. This research tends to focus on broad changes, such as enterprise transformations. This thesis presents a model developed ...

Harris Robert J., Jr. (Robert Jerrell)

2014-01-01T23:59:59.000Z

236

Computers & Geosciences 29 (2003) 351359 A case against Kd-based transport models: natural attenuation  

E-Print Network [OSTI]

attenuation at a mill tailings site Chen Zhu* Department of Geology and Planetary Science, University)-based transport model. The study site is a contaminated groundwater aquifer underneath a uranium mill tailings

Polly, David

237

ESS 2012 Peer Review - Iron Based Flow Batteries for Low Cost Grid Level Energy Storage - Jesse Wainright, Case Western Reserve  

Broader source: Energy.gov (indexed) [DOE]

authors gratefully acknowledge the support of the Department of Energy/Office of Electricity's Energy Storage Program. authors gratefully acknowledge the support of the Department of Energy/Office of Electricity's Energy Storage Program. Iron Based Flow Batteries for Low Cost Grid Level Energy Storage J.S. Wainright, R. F. Savinell, P.I.s Dept. of Chemical Engineering, Case Western Reserve University Purpose Impact on Iron Based Batteries on the DOE OE Energy Storage Mission Recent Results Recent Results Develop efficient, cost-effective grid level storage capability based on iron. Goals of this Effort: * Minimize Cost/Watt by increasing current density - Hardware Cost >> Electrolyte Cost * Minimize Cost/Whr by increasing plating capacity * Maximize Efficiency by minimizing current lost to hydrogen evolution Electrochemistry of the all-Iron system:

238

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.

239

Paducah DUF6 Conversion Final EIS - Chapter 4: Environmental Impact Assessment Approach, Assumptions, and Methodology  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (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

240

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

SciTech Connect (OSTI)

This document is intended to provide a Next Generation Nuclear Plant (NGNP) Project tool in which to collect and identify key definitions, plant capabilities, and inputs and assumptions to be used in ongoing efforts related to the licensing and deployment of a high temperature gas-cooled reactor (HTGR). These definitions, capabilities, and assumptions are extracted from a number of sources, including NGNP Project documents such as licensing related white papers [References 1-11] and previously issued requirement documents [References 13-15]. Also included is information agreed upon by the NGNP Regulatory Affairs group's Licensing Working Group and Configuration Council. The NGNP Project approach to licensing an HTGR plant via a combined license (COL) is defined within the referenced white papers and reference [12], and is not duplicated here.

Phillip Mills

2012-02-01T23:59:59.000Z

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


241

Integrating bibliometrics and roadmapping methods: A case of dye-sensitized solar cell technology-based industry in China  

Science Journals Connector (OSTI)

Abstract Emerging industries are attracting increasing attention as they engage in innovation activities that transgress the boundaries of science and technology. Policy makers and industrial communities use roadmapping methods to predict future industrial growth, but the existing bibliometric/workshop methods have limitations when analyzing the full-lifecycle industrial emergence, including the transitions between science, technology, application, and the mass market. This paper, therefore, proposes a framework that integrates bibliometrics and a technology roadmapping (TRM) workshop approach to strategize and plan the future development of the new, technology-based industry. The dye-sensitized solar cell technology-based industry in China is selected as a case study. In this case, the bibliometrics method is applied to analyze the existing position of science and technology, and TRM workshops are used to strategize the future development from technology to application and marketing. Key events and impact on the development of the new, technology-based industry have been identified. This paper will contribute to the roadmapping and foresight methodology, and will be of interest to solar photovoltaic industry researchers.

Xin Li; Yuan Zhou; Lan Xue; Lucheng Huang

2014-01-01T23:59:59.000Z

242

Determinants of Success for Community-based Tourism: The Case of Floating Markets in Thailand  

E-Print Network [OSTI]

of participatory planning in Indonesia (1999), Lis (2006) study of community participation in tourism in China, Hipwells study of community- based ecotourism (CBET) in Taiwan (2007), Al-Oun and Al-Homouds study of CBT in 4 Jordan (2008), and Sebeles study... discussed without reference to sustainable development (1997, p. 857). Due to the popularity of SD, the label of ST has been attached to various types of tourism concepts and products such as nature-based tourism, ecotourism, adventure tourism, and so on...

Vajirakachorn, Thanathorn

2012-10-19T23:59:59.000Z

243

Formative Evaluation of IT-based Services: A Case Study of a Meal Planning Service  

Science Journals Connector (OSTI)

......families, based on the factors identified in the pre-test, influenced the future direction of the service development...on the level of a concept and, yet, in order to test its potential, the test situation needed to be rather complex. In these situations......

Johan Blomkvist; Johan berg; Stefan Holmlid

2014-11-01T23:59:59.000Z

244

A case against Kd-based transport models: natural attenuation at a mill tailings site  

Science Journals Connector (OSTI)

This study compares numerical modeling results of contaminant transport using a multi-component coupled reactive mass transport model and a distribution coefficient (Kd)-based transport model. The study site is a contaminated groundwater ... Keywords: contaminant, coupled processes, geochemical modeling, transport

Chen Zhu

2003-04-01T23:59:59.000Z

245

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

SciTech Connect (OSTI)

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

Binford, F.T.

1984-01-01T23:59:59.000Z

246

Myths and Barriers to the Introduction of Safety Cases in Space-Based Systems Chris W. Johnson (1), Derek A. Robins (2)  

E-Print Network [OSTI]

safety culture. Other concerns stem from misunderstandings. For example, recent discussions aboutMyths and Barriers to the Introduction of Safety Cases in Space-Based Systems Chris W. Johnson (1) SAIC, Houston, Texas, USA. Abstract Safety cases provide high-level support for the development

Johnson, Chris

247

Energy efficiency and the economists: The case for a policy based on economic principles  

SciTech Connect (OSTI)

People interested in energy policy, whether in business, finance, government, or the environmental movement, should welcome and support an approach based on economic principles for three reasons. By solving the financing problem and encouraging innovation and cost-efficiency, the economic-efficiency approach will enable all countries to meet energy demands. By giving proper weight to the development and use of low-polluting technologies this approach will enable reduction of local and, over the long-term global pollution as energy demands grow. And in developing countries especially, an economic approach will enable the industry to play its part in raising living standards for the population at large. Given good policies, there is no reason at all why developing countries, like the industrial countries before them, should not enjoy the benefits of much higher levels of energy consumption than they do today.

Anderson, D. [The World Bank, Washington, DC (United States)

1995-11-01T23:59:59.000Z

248

Diagnostics based on thermodynamic analysis of performance of steam turbines: case histories  

SciTech Connect (OSTI)

The purpose of this paper is to describe some types of failures which have occurred with the ENEL stock of fossil-fuel steam turbines over the last 5--7 years. This paper also presents the corresponding thermodynamic analysis of turbine parameters which permitted failure diagnosis and pre-scheduled opening of the turbine. The examined failures concern: in-service rupture of the bell seal retainer nut between the SH steam inlet sleeves and the inner HP/IP cylinder, on turbines with a main steam inlet system with bell seals; incorrect assembly of pressure seal rings between steam inlet sleeves and the inner cylinder on turbines with a main steam inlet system with pressure seal rings during a scheduled outage; and steam flow path restriction in IP turbine inlet. Thermodynamic failure analysis and the subsequent analysis of turbine damage (mechanical and financial) enabled condition-based maintenance operations to be carried out.

Tirone, G.; Arrighi, L.; Bonifacino, L.

1996-12-31T23:59:59.000Z

249

A rough set-based corporate memory for the case of ecotourism  

Science Journals Connector (OSTI)

Abstract Corporate memory (CM) is a major asset of any modern organization and provides access to the strategic knowledge and experience making a company more competitive. Until now, CM has not been broadly applied to tourisms, where changes are rapid, both in the nature of eco-tourist behavior and impact on the environment. In order to develop sustainable ecotourism, agile decision-making based on rules induced from data is required. However, ecotourism often provides numerous qualitative data. The qualitative nature of the data makes it difficult to analyze using standard statistical techniques. The rough set approach is suitable for processing qualitative information. In this paper, the proposed CM is incorporated within the rough set in the tourism sector, to provide efficient knowledge management for resolving the problems: (1) to understand the purposes for traveling of tourists and their feedback, and (2) to improve a travel package for attracting valued eco-tourists and reducing environmental damage.

Chun-Che Huang; Wen-Yau Liang; Tzu-Liang (Bill) Tseng; Ruo-Yin Wong

2015-01-01T23:59:59.000Z

250

Profiling micro-enterprises: the case of home-based businesses in New Zealand  

Science Journals Connector (OSTI)

Micro-enterprises represent significant proportions of small firms in most economies yet they are not routinely profiled or studied. This paper examines business processes and activities of micro home-based businesses (HBB) from an empirical study of 522 firms in New Zealand. Key findings profile the microscopic scale of HBB and their flexibility in operating both at and away from home. The importance of sources of finance, marketing activities, relationships, and business indicators for HBB are evaluated. Aspirations for growth were very high, with HBB reporting personal factors as the most important resources for growth, followed by functional business activities and expertise. Furthermore, high levels of GST registration and international business activities indicate that many HBB are quite business savvy.

Delwyn N. Clark; Heather Douglas

2012-01-01T23:59:59.000Z

251

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).

252

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

253

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.

254

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).

255

Diagnostics based on thermodynamic analysis of performance of steam turbines: Case histories  

SciTech Connect (OSTI)

The purpose of this paper is to describe some types of failures which have occurred with the ENEL stock of fossil-fuel steam turbines over the last 5--7 years. This paper also presents the corresponding thermodynamic analysis of turbine parameters which permitted failure diagnosis and pre-scheduled opening of the turbine. The examined failures concern: (1) in-service rupture of the bell seal retainer nut between a SH steam inlet sleeve and the inner HP/IP cylinder, on turbines with a main steam inlet system with bell seals; (2) incorrect assembly of pressure seal rings between steam inlet sleeves and the inner cylinder on turbines with a main steam inlet system with pressure seal rings during a scheduled outage; (3) steam flow path restriction in IP turbine inlet; (4) steam flow path restriction in 1st HP turbine stage nozzles; and (5) steam flow path restriction in 2nd HP turbine stage vanes. Thermodynamic failure analysis and the subsequent analysis of turbine damage (mechanical and financial) enabled condition-based maintenance operations to be carried out.

Tirone, G.; Arrighi, L.; Bonifacino, L.

1998-07-01T23:59:59.000Z

256

Lipid-Based Nanodiscs as Models for Studying Mesoscale Coalescence A Transport Limited Case  

SciTech Connect (OSTI)

Lipid-based nanodiscs (bicelles) are able to form in mixtures of long- and short-chain lipids. Initially, they are of uniform size but grow upon dilution. Previously, nanodisc growth kinetics have been studied using time-resolved small angle neutron scattering (SANS), a technique which is not well suited for probing their change in size immediately after dilution. To address this, we have used dynamic light scattering (DLS), a technique which permits the collection of useful data in a short span of time after dilution of the system. The DLS data indicate that the negatively charged lipids in nanodiscs play a significant role in disc stability and growth. Specifically, the charged lipids are most likely drawn out from the nanodiscs into solution, thereby reducing interparticle repulsion and enabling the discs to grow. We describe a population balance model, which takes into account Coulombic interactions and adequately predicts the initial growth of nanodiscs with a single parameter i.e., surface potential. The results presented here strongly support the notion that the disc coalescence rate strongly depends on nanoparticle charge density. The present system containing low-polydispersity lipid nanodiscs serves as a good model for understanding how charged discoidal micelles coalesce.

Hu, Andrew [University of Connecticut, Storrs; Fan, Tai-Hsi [University of Connecticut, Storrs; Katsaras, John [ORNL; Xia, Yan [University of Connecticut, Storrs; Li, Ming [University of Connecticut, Storrs; Nieh, Mu-Ping [University of Connecticut, Storrs

2014-01-01T23:59:59.000Z

257

Life cycle inventory for palm based plywood: A gate-to-gate case study  

Science Journals Connector (OSTI)

The oil palm industry heavily relies on the world market. It is essential to ensure that the oil palm industry is ready to meet the demands and expectation of these overseas customers on the environmental performance of the oil palm industry. Malaysia produces 13.9 million tons of oil palm biomass including oil palm trunk (OPT) frond and empty fruits bunches (EFB) annually. OPT felled in some oil palm plantations during replanting is transported to various industries and one such industry is the plywood factories. In order to gauge the environmental performance of the use of OPT as plywood a Life Cycle Assessment (LCA) study was conducted for palm based plywood. LCA is an important tool to assess the environmental performance of a product or process. Life cycle inventory (LCI) is the heart of a LCA study. This LCI study has a gate-to-gate system boundary and the functional unit is 1 m3 palm plywood produced and covers three types of plywood; Moisture Resistance Plywood (MR) Weather Boiling Proof Plywood Grade 1 (WBP Grade 1) at Factory D and Weather Boiling Proof Plywood Grade 2 (WBP Grade 2) at Factory E. Both factories use two different types of drying processes; conventional drying at Factory D and kiln drying at Factory E. This inventory data was collected from two factories (D and E) representing 40% of Malaysia palm plywood industry. The inputs are mainly the raw materials which are the oil palm trunks and tropical wood veneers and the energy from diesel and electricity from grid which is mainly used for the drying process. The other inputs include water urea formaldehyde phenol formaldehyde flour and melamine powder. The outputs are the biomass waste which consists of oil palm trunk off-cut and emission from boiler. Generally all types of plywood production use almost same materials and processing methods in different quantities. Due to the different process efficiency Factory D uses less input of raw materials and energy compared to Factory E.

Shamim Ahmad; Ismail Sahid; Vijaya Subramaniam; Halimah Muhamad; Anis Mokhtar

2013-01-01T23:59:59.000Z

258

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

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2007 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2006), (Washington, DC, 2006). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

259

EIA - Assumptions to the Annual Energy Outlook 2008 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2008 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Module. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply on a regional basis (Figure 7). A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2007), (Washington, DC, 2007). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural

260

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

Gasoline and Diesel Fuel Update (EIA)

Petroleum Market Module Petroleum Market Module Assumptions to the Annual Energy Outlook 2007 Petroleum Market Module Figure 9. Petroleum Administration for Defense Districts. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Petroleum Market Module (PMM) forecasts petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil (both domestic and imported), petroleum product imports, unfinished oil imports, other refinery inputs (including alcohols, ethers, and bioesters), natural gas plant liquids production, and refinery processing gain. In addition, the PMM projects capacity expansion and fuel consumption at domestic refineries. The PMM contains a linear programming (LP) representation of U.S. refining

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


261

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

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module Assumptions to the Annual Energy Outlook 2007 Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption isthe sum of energy use in eight transport modes: light-duty vehicles (cars and light trucks), commercial light trucks (8,501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger aircraft, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

262

EIA-Assumptions to the Annual Energy Outlook - National Gas Transmission  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Transmission and Distribution Module Natural Gas Transmission and Distribution Module Assumptions to the Annual Energy Outlook 2007 National Gas Transmission and Distribution Module Figure 8. Natural Gas Transmission and Distribution Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Natural Gas Transmission and Distribution Module (NGTDM) derives domestic natural gas production, wellhead and border prices, end-use prices, and flows of natural gas through the regional interstate network, for both a peak (December through March) and off peak period during each forecast year. These are derived by solving for the market equilibrium across the three main components of the natural gas market: the supply component, the demand component, and the transmission and distribution

263

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

Gasoline and Diesel Fuel Update (EIA)

Commercial Demand Module Commercial Demand Module Assumptions to the Annual Energy Outlook 2007 Commercial Demand Module The NEMS Commercial Sector Demand Module generates forecasts of commercial sector energy demand through 2030. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA Commercial Buildings Energy Consumption Survey (CBECS) for characterizing the commercial sector activity mix as well as the equipment stock and fuels consumed to provide end use services.12

264

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

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumption to the Annual Energy Outlook Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Having problems, call our National Energy Information Center at 202-586-8800 for help. Table 50. Crude Oil Technically Recoverable Resources (Billion barrels) Printer Friendly Version Crude Oil Resource Category As of January 1, 2002 Undiscovered 56.02 Onshore 19.33 Northeast 1.47 Gulf Coast 4.76 Midcontinent 1.12 Southwest 3.25 Rocky Moutain 5.73 West Coast 3.00 Offshore 36.69 Deep (>200 meter W.D.) 35.01 Shallow (0-200 meter W.D.) 1.69 Inferred Reserves 49.14 Onshore 37.78 Northeast 0.79 Gulf Coast 0.80 Midcontinent 3.73 Southwest 14.61 Rocky Mountain 9.91 West Coast 7.94

265

EIA - Assumptions to the Annual Energy Outlook 2009 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2009 Oil and Gas Supply Module Figure 7. Oil and Gas Supply Model Regions. Need help, contact the National Energy Information Center at 202-586-8800. Table 9.1. Crude Oil Technically Recoverable Resources. Need help, contact the Naitonal Energy Information Center at 202-586-8800. printer-friendly version Table 9.2. Natural Gas Technically Recoverable Resources. Need help, contact the National Energy Information Center at 202-586-8800. Table 9.2. Continued printer-friendly version Table 9.3. Assumed Size and Initial Production year of Major Announced Deepwater Discoveries. Need help, contact the National Energy Information Center at 202-586-8800. printer-friendly version Table 9.4. Assumed Annual Rates of Technological Progress for Conventional Crude Oil and Natural Gas Sources. Need help, contact the National Energy Information Center at 202-586-8800.

266

EIA - Assumptions to the Annual Energy Outlook 2010 - Oil and Gas Supply  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module Assumptions to the Annual Energy Outlook 2010 Oil and Gas Supply Module Figure 8. Natural Gas Transmission and Distribution Model Regions. The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas natural gas exploration and development on a regional basis (Figure 7). The OGSM is organized into 4 submodules: Onshore Lower 48 Oil and Gas Supply Submodule, Offshore Oil and Gas Supply Submodule, Oil Shale Supply submodule, and Alaska Oil and Gas Supply Submodule. A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2010), (Washington, DC, 2010). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural

267

EIA-Assumptions to the Annual Energy Outlook - Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module Assumptions to the Annual Energy Outlook 2007 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 21 manufacturing and 6 nonmanufacturing industries. The manufacturing industries are further subdivided into the energy-intensive manufacturing industries and nonenergy-intensive manufacturing industries. The manufacturing industries are modeled through the use of a detailed process flow or end use accounting procedure, whereas the nonmanufacturing industries are modeled with substantially less detail (Table 17). The Industrial Demand Module forecasts energy consumption at the four Census region level (see Figure 5); energy consumption at the Census Division level is estimated by allocating the Census region forecast using the SEDS25 data.

268

A watershed-based method for environmental vulnerability assessment with a case study of the Mid-Atlantic region  

SciTech Connect (OSTI)

The paper presents a method for environmental vulnerability assessment with a case study of the Mid-Atlantic region. The method is based on the concept of 'self-/peer-appraisal' of a watershed in term of vulnerability. The self-/peer-appraisal process is facilitated by two separate linear optimization programs. The analysis provided insights on the environmental conditions, in general, and the relative vulnerability pattern, in particular, of the Mid-Atlantic region. The suggested method offers a simple but effective and objective way to perform a regional environmental vulnerability assessment. Consequently the method can be used in various steps in environmental assessment and planning. - Highlights: Black-Right-Pointing-Pointer We present a method for regional environmental vulnerability assessment. Black-Right-Pointing-Pointer It is based on the self-/peer-appraisal concept in term of vulnerability. Black-Right-Pointing-Pointer The analysis is facilitated by two separate linear optimization programs. Black-Right-Pointing-Pointer The method provides insights on the regional relative vulnerability pattern.

Tran, Liem T., E-mail: ltran1@utk.edu [Department of Geography, University of Tennessee, Knoxville, TN (United States); O& #x27; Neill, Robert V. [OTIE and Associates, Oak Ridge, TN (United States); Smith, Elizabeth R. [U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, Research Triangle Park, NC (United States)

2012-04-15T23:59:59.000Z

269

Case Based Dental Radiology  

Science Journals Connector (OSTI)

Dental radiology is quickly becoming integral to the standard of care in veterinary dentistry. This is not only because it is critical for proper patient care, but also because client expectations have increased. Furthermore, providing dental radiographs as a routine service can create significant practice income. This article details numerous conditions that are indications for dental radiographs. As you will see, dental radiographs are often critical for proper diagnosis and treatment. These conditions should not be viewed as unusual; they are present within all of our practices. When you choose not to radiograph these teeth, you leave behind painful pathology. Utilizing the knowledge gained from dental radiographs will both improve patient care and increase acceptance of treatment recommendations. Consequently, this leads to increased numbers of dental procedures performed at your practice.

Brook A. Niemiec

2009-01-01T23:59:59.000Z

270

Epigastric Hernia in Pregnancy: A Management Plan Based on a Systematic Review of Literature and a Case History  

Science Journals Connector (OSTI)

Symptomatic epigastric hernia is rare in pregnant women. A case history, management of which prompted a systematic review of the literature and proposed plan for treatment of such cases, is hereby ... hernias in ...

Samuel A. Debrah; Amalachukwu M. Okpala

2013-06-01T23:59:59.000Z

271

50-year-old assumptions about strength muscled aside | Argonne National  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

C. David Williams with an X-ray diffraction apparatus used to measure lattice spacing of filaments in moth wing muscle samples. To view a larger version of the image, click on it. Credit: A. Kidder/University of Washington. C. David Williams with an X-ray diffraction apparatus used to measure lattice spacing of filaments in moth wing muscle samples. To view a larger version of the image, click on it. Credit: A. Kidder/University of Washington. C. David Williams with an X-ray diffraction apparatus used to measure lattice spacing of filaments in moth wing muscle samples. To view a larger version of the image, click on it. Credit: A. Kidder/University of Washington. To view a larger, downloadable version of the image, click on it. To view a larger, downloadable version of the image, click on it. 50-year-old assumptions about strength muscled aside July 11, 2013 Tweet EmailPrint LEMONT, Ill. - Doctors have a new way of thinking about how to treat heart and skeletal muscle diseases. Body builders have a new way of

272

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

E-Print Network [OSTI]

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

E. Minguzzi

2014-11-28T23:59:59.000Z

273

A CLASSIFICATION OF H II REGIONS BASED ON OXYGEN AND HELIUM LINES: THE CASES OF TOL 2146-391 AND TOL 0357-3915  

SciTech Connect (OSTI)

We present long-slit spectrophotometry of two H II galaxies: TOL 2146-391 and TOL 0357-3915. We performed a detailed analysis that involves abundance determinations relaxing the assumption of homogeneous temperature. The temperature inhomogeneity values, t{sup 2}, were obtained through two methods: (1) comparing abundances from oxygen recombination lines to abundances from collisionally excited lines and (2) by using the line intensity ratios of a set of He I lines together with the HELIO10 program. We find that the HELIO10 program is a good alternative to obtain a t{sup 2} value in photoionized regions where recombination lines of heavy elements are not available. We have plotted 27 high- and low-metallicity H II regions in an oxygen degree of ionization versus t{sup 2} diagram; we find areas populated by H II regions and areas void of them; the physical characteristics of each area are discussed. In addition, an average t{sup 2} value can be determined for the objects in each area. We propose to use this (t{sup 2}) value for the cases where a direct measurement of t{sup 2} cannot be determined.

Peimbert, Antonio; Pena-Guerrero, Maria A.; Peimbert, Manuel, E-mail: antonio@astro.unam.mx, E-mail: guerrero@astro.unam.mx, E-mail: peimbert@astro.unam.mx [Instituto de Astronomia, Universidad Nacional Autonoma de Mexico, Apdo. Postal 70-264, Mexico CP 04510, DF (Mexico)

2012-07-01T23:59:59.000Z

274

Optimal Design of a Fossil Fuel-Based Hydrogen Infrastructure with Carbon Capture and Sequestration: Case Study in Ohio  

E-Print Network [OSTI]

Infrastructure with Carbon Capture and Sequestration: CaseINFRASTRUCTURE WITH CARBON CAPTURE AND SEQUESTRATION: CASEhydrogen production with carbon capture and sequestration,

Johnson, Nils; Yang, Christopher; Ni, Jason; Johnson, Joshua; Lin, Zhenhong; Ogden, Joan M

2005-01-01T23:59:59.000Z

275

Developing a decision model to describe levels of self-directedness based upon the key assumptions of andragogy  

E-Print Network [OSTI]

-directed learning readiness level of students enrolled in the course. A report will be generated to show matches and mismatches between the instructor??s teaching style and the self-directed learning readiness level of the students. A decision model...

Richards, Lance Jonathan

2005-11-01T23:59:59.000Z

276

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

Science Journals Connector (OSTI)

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

N.S. Hoang; A.G. Ramm

2010-01-01T23:59:59.000Z

277

Alcohol Quantity and Type on Risk of Recurrent Gout Attacks: An Internet-based Case-crossover Study  

Science Journals Connector (OSTI)

AbstractObjectives Although beer and liquor have been associated with risk of incident gout, wine has not. Yet anecdotally, wine is thought to trigger gout attacks. Further, how much alcohol intake is needed to increase the risk of gout attack is not known. We examined the quantity and type of alcohol consumed on risk of recurrent gout attacks. Methods We conducted a prospective Internet-based case-crossover study in the US among participants with gout and who had at least one attack during the 1 year of follow-up. We evaluated the association of alcohol intake over the prior 24 hours as well as the type of alcoholic beverage with risk of recurrent gout attack, adjusting for potential time-varying confounders. Results This study included 724 participants with gout (78% men, mean age 54 years). There was a significant dose-response relationship between amount of alcohol consumption and risk of recurrent gout attacks (P gout attack was 1.36 (95% confidence interval [CI], 1.00-1.88) and 1.51 (95% CI, 1.09-2.09) times higher for >1-2 and >2-4 alcoholic beverages, respectively, compared with no alcohol consumption in the prior 24 hours. Consuming wine, beer, or liquor was each associated with an increased risk of gout attack. Conclusions Episodic alcohol consumption, regardless of type of alcoholic beverage, was associated with an increased risk of recurrent gout attacks, including potentially with moderate amounts. Individuals with gout should limit alcohol intake of all types to reduce the risk of recurrent gout attacks.

Tuhina Neogi; Clara Chen; Jingbo Niu; Christine Chaisson; David J. Hunter; Yuqing Zhang

2014-01-01T23:59:59.000Z

278

New Approaches in Testing Common Assumptions for Regressions with Missing Data  

E-Print Network [OSTI]

(n ?1/2). We now apply the transfer principle for asymptotically linear statistics given by 7 Koul et al. (2012) to adapt the results from Theorem 2.1 for the MAR model. The complete case estimator for F (t) is given by Fc(t) = 1 N n? j=1 ?j1(?j,c ? t...

Chown, Justin Andrew

2014-07-30T23:59:59.000Z

279

E-Print Network 3.0 - assumptions draft study Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

results of all studies, reviews, consultations and coordination conducted regarding... completion of the Draft EIS, a preferred alternative is identified based on the analysis...

280

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

Science Journals Connector (OSTI)

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

Masayuki Abe; Jan Camenisch; Maria Dubovitskaya; Ryo Nishimaki

2013-11-01T23:59:59.000Z

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


281

Model-Based LCA for Sustainable Energy-Production from Olive-Oil Production: An Italian Agricultural-District Case  

Science Journals Connector (OSTI)

Renewable energy sources will play in the years to come a central role in moving the world onto a more secure, reliable and sustainable energy path. In this paper the case of an Italian power plant fed from bi...

Francesca Intini; Gianluca Rospi

2014-01-01T23:59:59.000Z

282

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

E-Print Network [OSTI]

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

Belogay, Eugene A.

283

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

E-Print Network [OSTI]

LBL-34045 UC-1600 Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting-uses include Heating, Ventilation and Air Conditioning (HVAC). Our analysis uses the modeling framework provided by the HVAC module in the Residential End-Use Energy Planning System (REEPS), which was developed

284

Ode to the case report  

E-Print Network [OSTI]

JP. In defense of case reports and case series. Ann InternIJ. Evidence based case reports. Undergraduates in Cork have2. Vandenbroucke JP. Case reports of suspected adverse drug

Rosen, Ted

2008-01-01T23:59:59.000Z

285

The Sensitivity of Rainfall Estimation to Error Assumptions In A Bayesian Passive Microwave Retrieval Algorithm  

Science Journals Connector (OSTI)

The Goddard PROFiling Algorithm (GPROF) uses Bayesian probability theory to retrieve rainfall over the global oceans. A critical component of GPROF and most Bayes Theorem-based retrieval frameworks is the specification of uncertainty in the ...

Gregory S. Elsaesser; Christian D. Kummerow

286

Application of Well-Based Surrogate Reservoir Models (SRMs) to Two Offshore Fields in Saudi Arabia, Case Study  

E-Print Network [OSTI]

SPE 153845 Application of Well-Based Surrogate Reservoir Models (SRMs) to Two Offshore Fields for presentation at the SPE Western North American Regional Meeting held in Bakersfield, California, USA, 19, the pressure and saturation changes at each grid block. Well-based SRM is based on the pattern recognition

Mohaghegh, Shahab

287

Multi-Path Transportation Futures Study: Vehicle Characterization and Scenario Analyses - Appendix E: Other NEMS-MP Results for the Base Case and Scenarios  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Appendix E: Other NEMS-MP Results Appendix E: Other NEMS-MP Results for the Base Case and Scenarios Energy Systems Division Availability of This Report This report is available, at no cost, at http://www.osti.gov/bridge. It is also available on paper to the U.S. Department of Energy and its contractors, for a processing fee, from: U.S. Department of Energy Office of Scientific and Technical Information P.O. Box 62

288

Adapting numerical representations of lung contours us-ing Case-Based Reasoning and Artificial Neural Net-  

E-Print Network [OSTI]

and Nuclear Safety, France {farah,broggio,franck}@irsn.fr Abstract. In case of a radiological emergency situation involving accidental human exposure, a dosimetry evaluation must be established as soon, a dosimetry evaluation must be estab- lished for each potential victim (subject) as soon as possible. In most

Paris-Sud XI, Université de

289

Adapting a Beam-Based Rotordynamics Model to Accept a General Three-Dimensional Finite-Element Casing Model  

E-Print Network [OSTI]

-axisymmetric model, structural dynamics modes can be modeled by lateral modes in two orthogonal planes. Modal information of the complex 3D casing structures are generated, and then incorporated into the 2D code after a series of pre-processing steps. A reduction...

James, Stephen M.

2011-08-08T23:59:59.000Z

290

Influence of thermal zone assumptions on DOE-2 energy use estimations of a commercial building  

E-Print Network [OSTI]

heating and cooling energy consumption and the simulated values was only 3%. These results were found based on monthly energy data, and several iterations were performed to adjust the input file when major inconsistencies were found between... and Atmospheric Administration's Typical Meteorological Year (TMY) file and then "tuned" again. The ECM's were then modeled and ranked according to their cost effectiveness. This report shows one way of matching simulated data to monitored data...

Hinchey, Sharon Beth

1991-01-01T23:59:59.000Z

291

The emergence of a mass community-based ecotourism theme park : the case of Ejido Chacchoben, Quintana Roo, Mexico.  

E-Print Network [OSTI]

?? In 1998, a dispute between a federal government agency and the local community of Chacchoben resulted in the emergence of a community-based ecotourism (CBE) (more)

Beitl, Christine M.

2005-01-01T23:59:59.000Z

292

The evolution of home detention based sanctions frameworks in the USA and Australia up to 2013: a comparative case study.  

E-Print Network [OSTI]

??Contemporary Home Detention Based Sanctions (HDBS), which utilise electronic monitoring (EM) technology, became first available in the 1980s in the United States of America (USA). (more)

Martinovic, M

2013-01-01T23:59:59.000Z

293

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

294

Regional assessment of environmental equity through GIS-based clustering and non-parametric statistical testing: a case study of Dallas County, Texas, USA  

Science Journals Connector (OSTI)

Previous GIS-based methods for assessing regional environmental equity issues tended to simplify the definition of impact area for a hazardous site by either directly adopting the pre-existing census unit or constructing a buffer with an arbitrary radius. Subsequent spatial analyses based on such a simplification support rather limited statistical analysis. The present paper reviews this methodological issue and proposes a more robust method combining statistical clustering, spatial overlay analysis, and non-parametric statistical testing for regional equity assessment. In this method, impact areas for individual population groups are derived through statistical clustering based on the internal data structure of multiple demographic variables, and facilities are tallied within each cluster zone to support a valid chi-square test. A case study on Dallas County, Texas, USA, demonstrated the advantages of this method, including data self-organisation for case-specific analysis, avoidance of arbitrariness of impact area definition, ability to provide a comprehensive evaluation based on multiple demographic characteristics, and statistical comparability with highly skewed data distribution.

Minhe Ji; T.S. Sunil

2005-01-01T23:59:59.000Z

295

GIS-Based Regionalized Life Cycle Assessment: How Big Is Small Enough? Methodology and Case Study of Electricity Generation  

Science Journals Connector (OSTI)

GIS-Based Regionalized Life Cycle Assessment: How Big Is Small Enough? ... Several data sets were combined to form a life cycle inventory database of all large electricity generators in the United States for the year 2005. ... The North American Electric Reliability Corporation (NERC) defines 10 regions, mapped in section 5 of the SI, that have their own regulatory or technical independence. ...

Christopher L. Mutel; Stephan Pfister; Stefanie Hellweg

2011-12-27T23:59:59.000Z

296

A Case Study: A Model-Based Approach to Retrofit a Network Fault Management System with Self-Healing Functionality  

Science Journals Connector (OSTI)

Adding self-healing capabilities to network management systems holds great promise for delivering important goals, such as QoS, while simultaneously lowering capital expenditure, operation cost, and maintenance cost. In this paper, we present a model-based ... Keywords: Self-healing, aspect modeling, network management

Yan Liu; Jing Zhang; Michael Jiang; David Raymer; John Strassner

2008-03-01T23:59:59.000Z

297

Progress In Electromagnetics Research, Vol. 140, 297311, 2013 SIMPLE, TAYLOR-BASED WORST-CASE MODEL FOR  

E-Print Network [OSTI]

) is resolving unwanted electromagnetic interactions between electronic systems. The number of possibleProgress In Electromagnetics Research, Vol. 140, 297­311, 2013 SIMPLE, TAYLOR-BASED WORST Rennes Cedex 7, France Abstract--To obtain Electromagnetic Compatibility (EMC), we would like to study

Boyer, Edmond

298

Model-based Requirement Verification : A Case Study Feng Liang1,2 Wladimir Schamai3 Olena Rogovchenko1  

E-Print Network [OSTI]

the system. Modelica is non-proprietary, object-oriented, equation based language for modeling multi-domain complex physical systems. 2 An Integrated Modeling Approach 2.1 Requirement Specification in the Indus- quirements) approach. Keywords: system modeling; requirement verifica- tion; ModelicaML 1 Introduction

Zhao, Yuxiao

299

Forecasting short-term electricity consumption using a semantics-based genetic programming framework: The South Italy case  

Science Journals Connector (OSTI)

Abstract Accurate and robust short-term load forecasting plays a significant role in electric power operations. This paper proposes a variant of genetic programming, improved by incorporating semantic awareness in algorithm, to address a short term load forecasting problem. The objective is to automatically generate models that could effectively and reliably predict energy consumption. The presented results, obtained considering a particularly interesting case of the South Italy area, show that the proposed approach outperforms state of the art methods. Hence, the proposed approach reveals appropriate for the problem of forecasting electricity consumption. This study, besides providing an important contribution to the energy load forecasting, confirms the suitability of genetic programming improved with semantic methods in addressing complex real-life applications.

Mauro Castelli; Leonardo Vanneschi; Matteo De Felice

2015-01-01T23:59:59.000Z

300

The Levelized Cost of Energy (LCOE) of wave energy using GIS based analysis: The case study of Portugal  

Science Journals Connector (OSTI)

Abstract The main objective of this paper is to establish an economic modelling of wave energy through a Geographical Information System (GIS). Furthermore, this method has been tested for the particular case of the Portuguese coast. It determines the best sea areas to install wave energy converters in this region, using spatial analysis of the Levelized Cost of Energy (LCOE). Several economic parameters, as capital or O&M costs, have been considered. In addition, a sensitivity analysis has been performed by varying the discount rate in three different scenarios. Several types of physical restrictions have been taken into account: bathymetry, submarine electrical cables, seabed geology, environmental conditions, protected areas in terms of heritage, navigation areas, seismic fault lines, etc. Spatial operations have been carried out to complete the procedure, using Model Builder of GIS software. Results indicate the most suitable areas in economic terms in Portugal to install wave energy devices.

Laura Castro-Santos; Geuffer Prado Garcia; Ana Estanqueiro; Paulo A.P.S. Justino

2015-01-01T23:59:59.000Z

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


301

Attracting private investments into rural electrification A case study on renewable energy based village grids in Indonesia  

Science Journals Connector (OSTI)

Abstract Renewable energy based village grids (RVGs) are widely considered to be a sustainable solution for rural electrification in non-OECD countries. However, diffusion rates of \\{RVGs\\} are relatively low. We take the viewpoint that, as public resources are scarce, investments from the private sector are essential to scale-up the diffusion. While existing literature mostly focuses on engineering, development and techno-economic aspects, the private sector's perspective remains under-researched. As investment decisions by private investors are mainly based on the risk/return profile of potential projects we based on literature reviews and field research investigate the risk and the return aspects of \\{RVGs\\} in Indonesia, a country with one of the largest potentials for RVGs. We find that considering the potential of local, national and international revenue streams, the returns of \\{RVGs\\} can be positive. Regarding the risk aspect, we see that private investors could address many of the existing barriers through their business model. However, the findings also point to the need for government action in order to further improve the risk/return profile and thereby attract private investments for RVGs.

Tobias S. Schmidt; Nicola U. Blum; Ratri Sryantoro Wakeling

2013-01-01T23:59:59.000Z

302

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

SciTech Connect (OSTI)

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

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

1994-02-01T23:59:59.000Z

303

GIS-based study of the spatial distribution suitability of livestock and poultry farming: The case of Putian, Fujian, China  

Science Journals Connector (OSTI)

Abstract Spatial distribution, based on which the spatial layout and scale for regional livestock and poultry farming are determined, is critical to planning. At present, quantitative research on this topic is rare in China and even elsewhere. To assist in rational planning as well as in the scientific layout of the spatial distribution of livestock and poultry farms, this study establishes an evaluation index system for the spatial distribution suitability of the livestock and poultry sector and adopts Delphi method and analytic hierarchy process (AHP) to standardize each evaluation factor that affects the suitable spatial layout of livestock and poultry farming and consequently, to assign weights. The system is based on theory of land suitability; the organic combination of social, economic, and environmental factors; and geographic information system technology. GIS software is employed to generate the thematic maps of a single evaluation factor. The score of each block of livestock farming land suitability evaluation is then generated based on the results of the suitability analysis for a single factor along with the weighted calculation result of the weight of each evaluation factor and the application of the GIS overlay function. Results show that regardless of the size or proportion of areas suitable for livestock and poultry farming, Xianyou County and Hanjiang District remain suitable for livestock and poultry breeding layout; quantity distribution should give priority to these two areas as well. Recommendations to adjust spatial layout planning for livestock and poultry farming in Putian, Xianyou County, must be improved. The north and northwest areas should be considered in the layout for livestock and poultry farming. Planning for Hanjiang District should be readjusted, and priority should be given to Zhuangbian Town, Dayang Village, Xinxian Town, and Jiangkou Town. Chengxiang and Licheng Districts are relatively ideal and require only appropriate fine tuning. Planning for Xiuyu District should be readjusted, and priority should be given to suitable villages and towns, such as Dongqiao Town, Hushi Town, and Dongzhuang Town.

Lihong Peng; Wenwen Chen; Ming Li; Yu Bai; Yipeng Pan

2014-01-01T23:59:59.000Z

304

Individual-based modeling of environmental quality effects on early life stages of fish: A case study using striped bass  

SciTech Connect (OSTI)

We demonstrate an individual-based approach to population modeling to evaluate environmental quality effects on early life stages of fishes. We believe that, regardless of the modeling approach, environmental quality effects ultimately must be evaluated at the population level. Determining population-level consequences of changes in environmental quality is critical because the population is the relevant endpoint of interest with respect to success of the species and its availability for harvest. It offers a common metric upon which to compare among different environmental factors, effects, and life stages.

Rose, K.A. (Oak Ridge National Lab., TN (United States)); Cowan, J.H. Jr. (University of South Alabama, Mobile, AL (United States). Dept. of Marine Sciences); Houde, E.D. (Maryland Univ., Solomons, MD (United States). Chesapeake Biological Lab.); Coutant, C.C. (Oak Ridge National Lab., TN (United States))

1992-01-01T23:59:59.000Z

305

Individual-based modeling of environmental quality effects on early life stages of fish: A case study using striped bass  

SciTech Connect (OSTI)

We demonstrate an individual-based approach to population modeling to evaluate environmental quality effects on early life stages of fishes. We believe that, regardless of the modeling approach, environmental quality effects ultimately must be evaluated at the population level. Determining population-level consequences of changes in environmental quality is critical because the population is the relevant endpoint of interest with respect to success of the species and its availability for harvest. It offers a common metric upon which to compare among different environmental factors, effects, and life stages.

Rose, K.A. [Oak Ridge National Lab., TN (United States); Cowan, J.H. Jr. [University of South Alabama, Mobile, AL (United States). Dept. of Marine Sciences; Houde, E.D. [Maryland Univ., Solomons, MD (United States). Chesapeake Biological Lab.; Coutant, C.C. [Oak Ridge National Lab., TN (United States)

1992-11-01T23:59:59.000Z

306

Pilot design of biomass energy resources inquiry system based on MapX: a case of Liyang city in China  

Science Journals Connector (OSTI)

With the rapid development of large- and medium-scale biomass energy utilisation in Jiangsu Province of China, to explore the potential of biomass energy resources availability becomes increasingly necessary. This paper analyses the biomass energy resources within Liyang City of Changzhou and designs a referral information system based on MapX software provided by Mapinfo GIS platform. The system is secondarily developed according to practical demand and achieves many functions of professional GIS software such as amplification, dwindling, scale enquiry, point enquiry, thememap and so on. The enquiry system will provide valuable reference to energy and environmental policies or relevant biomass energy enterprises.

Peibing Yan; Weiming Wu; Xiaohua Wang

2008-01-01T23:59:59.000Z

307

Consumption-based CO2 accounting of China's megacities: The case of Beijing, Tianjin, Shanghai and Chongqing  

Science Journals Connector (OSTI)

Abstract China has experienced rapid urbanization in the last three decades, with more than half of the population living in cities since 2012. The extent of urban production and urban lifestyles has become one of the main drivers for China's CO2 emissions. To analyze drivers of CO2 emissions we use a consumption-based accounting approach that allocates all emissions along the production chain to the product and place of final consumption, whereas a production-based approach would allocate all emissions to the place of origin. In this study, we focus on the spatial distribution of production activities leading to CO2 emissions across China as a consequence of final consumption in four Chinese mega cities: Beijing, Shanghai, Tianjin, and Chongqing. Urban consumption not only causes a large amount of emissions within its territory, but also imposes even much more emissions to its surrounding provinces via interregional supply chains. Results show that more than 48% of CO2 emissions related to goods consumed in Chongqing and more than 70% for Beijing, Shanghai and Tianjin occurred outside of the respective city boundary. In addition to the usual focus on efficiency, our analysis adds insights into the causes of CO2 emissions by looking at the drivers and types of consumption. Addressing consumption patterns in China's cities is critical for China's low carbon development.

Kuishuang Feng; Klaus Hubacek; Laixiang Sun; Zhu Liu

2014-01-01T23:59:59.000Z

308

Saeed, N., Yang, Y., & Sinnappan, S. (2009). Emerging Web Technologies in Higher Education: A Case of Incorporating Blogs, Podcasts and Social Bookmarks in a Web Programming Course based on Students' Learning Styles and Technology Preferences.  

E-Print Network [OSTI]

Saeed, N., Yang, Y., & Sinnappan, S. (2009). Emerging Web Technologies in Higher Education: A Case at kinshuk@ieee.org. Emerging Web Technologies in Higher Education: A Case of Incorporating Blogs, Podcasts, a research framework has been proposed to incorporate emerging web technologies into higher education based

Yang, Yun

309

Wind speed and power density analysis based on Weibull and Rayleigh distributions (a case study: Firouzkooh county of Iran)  

Science Journals Connector (OSTI)

Abstract The present study aimed to analyze the wind speed data of Firouzkooh region. For this purpose, the wind speed data for a 3-h period measuring over a 10-year period (20012010) were analyzed to calculate and estimate the wind power generation potential. Similar trends of the wind speeds were seen in different years where the highest and the lowest mean wind speeds belonged to May 2010 and June 2002, respectively. The diurnal wind speed analysis demonstrated that the fastest winds blew from 6 am to 3 pm. Weibull and Rayleigh distribution functions were applied to find out the best fitting tool to the wind speed data. Results showed that Weibull and Rayleigh distribution functions can fit the actual values of wind speed well with almost the same coefficient of determination value (R2) of 0.97. The average values of wind power based on mean and root mean cube speed approaches were 203 and 248Wm?2year?1, respectively indicating that Firouzkooh region stands in class 4 (which is a suitable area for wind turbine establishment). Finally, wind rose diagram revealed that the prevailing wind direction falls in the sector between 180 and 270 clockwise from North.

S.H. Pishgar-Komleh; A. Keyhani; P. Sefeedpari

2015-01-01T23:59:59.000Z

310

GIS-based energy-economic model of low temperature geothermal resources: A case study in the Italian Marche region  

Science Journals Connector (OSTI)

This paper presents a computational procedure designed to derive a regional model of the low temperature geothermal potential and its economic exploitability. The model was applied to the Italian Marche region and developed with the support of a Geographic Information System (GIS), which highlights the spatial dependencies in the distribution of geothermic resources. The Low Temperature Geothermal Energy has already gained attention as a renewable energy resource for domestic heating and represents a growing opportunity for investment. Although it is common practice to conduct an accurate evaluation of the geothermal potential and its exploitability on a site during the construction of a single installation, there is not an established practice or guidelines for estimating this resource over large territories. This information could support an institutions ability to conduct regional energy planning and guide private entrepreneurship to meet new economic opportunities. To address these issues, the main contribution of this work is a model that reduces the distance between the physical knowledge of the territory/environment and economic analysis. The model is based on a useful assessment of low temperature geothermal potential obtained from physical parameters on a regional scale, from which a set of economic indicators are calculated to evaluate the actual economic accessibility to the geothermal energy resource.

Alberto Gemelli; Adriano Mancini; Sauro Longhi

2011-01-01T23:59:59.000Z

311

Combining empirical and theory-based land-use modelling approaches to assess economic potential of biofuel production avoiding iLUC: Argentina as a case study  

Science Journals Connector (OSTI)

Abstract In this paper, a land-use modelling framework is presented combining empirical and theory-based modelling approaches to determine economic potential of biofuel production avoiding indirect land-use changes (iLUC) resulting from land competition with other functions. The empirical approach explores future developments in food and feed production to determine land availability and technical potential of biofuel production. The theory-based approach assesses the economic performance of biofuel crops on the surplus land in comparison with other production systems and determines the economic potential of biofuel production. The framework is demonstrated for a case study in Argentina to determine the development of biofuel potential from soy and switchgrass up to 2030. Two scenarios were considered regarding future developments of productivity in agriculture and livestock production. It was found that under a scenario reflecting a continuation of current trends, no surplus land is expected to become available. Nevertheless, the potential for soybean biodiesel is expected to keep increasing up to 103PJ in 2030, due to the existence of a developed agro-industrial sector jointly producing feed and biodiesel. In case large technological developments occur, 32Mha could become available in 2030, which would allow for a technical potential of 472PJ soybean biodiesel and 1445PJ switchgrass bioethanol. According to the economic assessment, an economic potential of 368PJ of soy biodiesel and 1.1EJ switchgrass bioethanol could be attained, at a feedstock production cost of 100155 US$/ton and 2045 US$/ton, respectively. The region of southwest Buenos Aires and La Pampa provinces appeared to be particularly promising for switchgrass. The ability of jointly assessing future developments in land availability, technical and economic potential of biofuel production avoiding iLUC and spatial distribution of viable locations for growing biofuel crops means that the proposed framework is a step forward in assessing the potential for biofuel production that is both economically viable and sustainably produced.

V. Diogo; F. van der Hilst; J. van Eijck; J.A. Verstegen; J. Hilbert; S. Carballo; J. Volante; A. Faaij

2014-01-01T23:59:59.000Z

312

An evaluation of integrated-gasification-combined-cycle and pulverized-coal-fired steam plants: Volume 1, Base case studies: Final report  

SciTech Connect (OSTI)

An evaluation of the performance and costs for a Texaco-based integrated gasification combined cycle (IGCC) power plant as compared to a conventional pulverized coal-fired steam (PCFS) power plant with flue gas desulfurization (FGD) is provided. A general set of groundrules was used within which each plant design was optimized. The study incorporated numerous sensitivity cases along with up-to-date operating and cost data obtained through participation of equipment vendors and process developers. Consequently, the IGCC designs presented in this study use the most recent data available from Texaco's ongoing international coal gasification development program and General Electric's continuing gas turbine development efforts. The Texaco-based IGCC has advantages over the conventional PCFS technology with regard to environmental emissions and natural resource requirements. SO/sub 2/, NOx, and particulate emissions are lower. Land area and water requirements are less for IGCC concepts. Coal consumption is less due to the higher plant thermal efficiency attainable in the IGCC plant. The IGCC plant also has the capability to be designed in several different configurations, with and without the use of natural gas or oil as a backup fuel. This capability may prove to be particularly advantageous in certain utility planning and operation scenarios. 107 figs., 114 tabs.

Pietruszkiewicz, J.; Milkavich, R.J.; Booras, G.S.; Thomas, G.O.; Doss, H.

1988-09-01T23:59:59.000Z

313

Newspaper coverage of suicide and initiation of suicide clusters in teenagers in the USA, 198896: a retrospective, population-based, case-control study  

Science Journals Connector (OSTI)

SummaryBackground Public health and clinical efforts to prevent suicide clusters are seriously hampered by the unanswered question of why such outbreaks occur. We aimed to establish whether an environmental factornewspaper reports of suicidehas a role in the emergence of suicide clusters. Methods In this retrospective, population-based, case-control study, we identified suicide clusters in young people aged 1320 years in the USA from 1988 to 1996 (preceding the advent of social media) using the timespace Scan statistic. For each cluster community, we selected two matched non-cluster control communities in which suicides of similarly aged youth occurred, from non-contiguous counties within the same state as the cluster. We examined newspapers within each cluster community for stories about suicide published in the days between the first and second suicides in the cluster. In non-cluster communities, we examined a matched length of time after the matched control suicide. We used a content-analysis procedure to code the characteristics of each story and compared newspaper stories about suicide published in case and control communities with mixed-effect regression analyses. Findings We identified 53 suicide clusters, of which 48 were included in the media review. For one cluster we could identify only one appropriate control; therefore, 95 matched control communities were included. The mean number of news stories about suicidal individuals published after an index cluster suicide (742 [SD 1002]) was significantly greater than the mean number of suicide stories published after a non-cluster suicide (514 [6.00]; pnewspaper reports about suicide (including specific story characteristics) and the initiation of teenage suicide clusters should provide an empirical basis to support efforts by mental health professionals, community officials, and the media to work together to identify and prevent the onset of suicide clusters. Funding US National Institute of Mental Health and American Foundation for Suicide Prevention.

Madelyn S Gould; Marjorie H Kleinman; Alison M Lake; Judith Forman; Jennifer Bassett Midle

2014-01-01T23:59:59.000Z

314

Abstract-The assumption that cerebrospinal fluid (CSF) inflow and outflow is an essential element of an intracranial  

E-Print Network [OSTI]

infusion test technique. Keywords - Intracranial pressure, lumped model, venous flow I. INTRODUCTION was considered the "closed-box case". Using the standard infusion test, the kidney capsule compliance (and hence box compliance) was estimated from a p-v curve generated by a controlled arterial volume infusion

Alwan, Abeer

315

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

E-Print Network [OSTI]

construction costs and fuel prices were used to translatethe model to the data. Fuel Price Expectations EPRl's modelswere based on the actual fuel prices faced by the consumer

Wood, D.J.

2010-01-01T23:59:59.000Z

316

Measurement-device-independent quantum key distribution based on Bell's inequality  

E-Print Network [OSTI]

We propose two quantum key distribution (QKD) protocols based on Bell's inequality, which can be considered as modified time-reversed E91 protocol. Similar to the measurement-device-independent quantum key distribution (MDI-QKD) protocol, the first scheme requires the assumption that Alice and Bob perfectly characterize the encoded quantum states. However, our second protocol does not require this assumption, which can defeat more known and unknown source-side attacks compared with the MDI-QKD. The two protocols are naturally immune to all hacking attacks with respect to detections. Therefore, the security of the two protocols can be proven based on the violation of Bell's inequality with measurement data under fair-sampling assumption. In our simulation, the results of both protocols show that long-distance quantum key distribution over 200 km remains secure with conventional lasers in the asymptotic-data case. We present a new technique to estimate the Bell's inequality violation, which can also be applied to other fields of quantum information processing.

Hua-Lei Yin; Yao Fu; Yan-Lin Tang; Yuan Li; Teng-Yun Chen; Zeng-Bing Chen

2014-07-28T23:59:59.000Z

317

Groundwater Management Tools: Analytical Procedure and Case Studies  

E-Print Network [OSTI]

Practice Guideline 2 1. The Management Objective 2 2. Concepts of Sustainable Yield 2 2.1. A MisconceptionGroundwater Management Tools: Analytical Procedure and Case Studies MAF Technical Paper No: 2003. Eigenmodels 11 4.1. Assumptions 11 #12;ii 4.1.1.Dynamics of Recharge Processes 11 4.1.2.Land Surface Recharge

Hickman, Mark

318

An unstructured C-grid based method for 3-D global ocean dynamics: Free-surface formulations and tidal test cases  

E-Print Network [OSTI]

and tidal test cases G.R. Stuhne *, W.R. Peltier Department of Physics, University of Toronto, 60 St. George rights reserved. 1. Introduction In a previous paper (Stuhne and Peltier, 2006, hereafter SP), we

Peltier, W. Richard

319

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

E-Print Network [OSTI]

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

Bahrami, Majid

320

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

SciTech Connect (OSTI)

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

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

1992-11-01T23:59:59.000Z

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


321

Toward a More Comprehensive Greenhouse Gas Emissions Assessment of Biofuels: The Case of Forest-Based FischerTropsch Diesel Production in Finland  

Science Journals Connector (OSTI)

Technology and feedstock production chain-specific factors, market-mediated factors and climate policy time frame issues are reflected using as a case study FischerTropsch diesel derived from boreal forest biomass in Finland. ... Hochman, G.; Rajagopal, D.; Zilberman, D.The effect of biofuels on crude oil markets AgBioForum 2010, 13 ( 2) 112 118 ...

Sampo Soimakallio

2014-02-04T23:59:59.000Z

322

Strategic innovation in sustainable technology: the case of fuel cells for vehicles  

Science Journals Connector (OSTI)

This paper explores the gap between the implied theoretical 'assumption' that development of technologies for sustainable development should be a smooth evolutionary transition and the reality of such change. Here, we identify a split between macro, long-term models of transition to greater environmental sustainability through innovation, as found in theories of ecological modernisation, techno-economic paradigms and technology transitions and the firm level issues involved. Innovation theory, in contrast, has been concerned with contingent factors affecting the process of technology management and innovation strategy. While long-term models of change are predicated on the necessity of successful development and adoption of novel technologies, more specific, firm-based study of radical innovation demonstrates the complex and disruptive aspects of such change. In this paper, we investigate the interactions between these issues through a case study of fuel cell technology for vehicle propulsion.

Stuart R. Peters; Anne-Marie Coles

2006-01-01T23:59:59.000Z

323

Ecophysiology as a tool for evaluating invasive-plant based bioenergies: physiological and ecological case-studies of Arundo donax and Elaeagnus angustifolia.  

E-Print Network [OSTI]

??In recent years, environmental and social pressures have fostered the development of biomass based energies. Development of `ideal' biomass feedstocks has led to characterizations of (more)

Nackley, Lloyd L.

2013-01-01T23:59:59.000Z

324

Development of a tool dedicated to the evaluation of hydrogen term source for technological Wastes: assumptions, physical models, and validation  

SciTech Connect (OSTI)

In radioactive waste packages hydrogen is generated, in one hand, from the radiolysis of wastes (mainly organic materials) and, in the other hand, from the radiolysis of water content in the cement matrix. In order to assess hydrogen generation 2 tools based on operational models have been developed. One is dedicated to the determination of the hydrogen source term issues from the radiolysis of the wastes: the STORAGE tool (Simulation Tool Of Emission Radiolysis Gas), the other deals with the hydrogen source term gas, produced by radiolysis of the cement matrices (the Damar tool). The approach used by the STORAGE tool for assessing the production rate of radiolysis gases is divided into five steps: 1) Specification of the data packages, in particular, inventories and radiological materials defined for a package medium; 2) Determination of radiochemical yields for the different constituents and the laws of behavior associated, this determination of radiochemical yields is made from the PRELOG database in which radiochemical yields in different irradiation conditions have been compiled; 3) Definition of hypothesis concerning the composition and the distribution of contamination inside the package to allow assessment of the power absorbed by the constituents; 4) Sum-up of all the contributions; And finally, 5) validation calculations by comparison with a reduced sampling of packages. Comparisons with measured values confirm the conservative character of the methodology and give confidence in the safety margins for safety analysis report.

Lamouroux, C. [CEA Saclay, Nuclear Energy Division /DANS, Department of physico-chemistry, 91191 Gif sur yvette (France); Esnouf, S. [CEA Saclay, DSM/IRAMIS/SIS2M/Radiolysis Laboratory , 91191 Gif sur yvette (France); Cochin, F. [Areva NC,recycling BU, DIRP/RDP tour Areva, 92084 Paris La Defense (France)

2013-07-01T23:59:59.000Z

325

Raw Garlic Consumption as a Protective Factor for Lung Cancer, a Population-Based CaseControl Study in a Chinese Population  

Science Journals Connector (OSTI)

...air pollution, coal-related pollution...cancer, a meta-analysis based on limited...in the present analysis to increase statistical power. From 2003 to...demographic and social economic status, weekly...Statistical analysis Data were entered...

Zi-Yi Jin; Ming Wu; Ren-Qiang Han; Xiao-Feng Zhang; Xu-Shan Wang; Ai-Ming Liu; Jin-Yi Zhou; Qing-Yi Lu; Zuo-Feng Zhang; and Jin-Kou Zhao

2013-07-01T23:59:59.000Z

326

Moderation of effects of AAC based on setting and types of aided AAC on outcome variables: An aggregate study of single-case research with individuals with ASD  

E-Print Network [OSTI]

. With respect to communication outcomes, both speech generating devices and the Picture Exchange Communication System were associated with larger effects than other picture-based systems. With respect to challenging behaviour outcomes, SGDs produced larger... disorders (ASD) present unique skill deficits in communication that require specialized, intensive intervention [1]. Research and educational policy emphasize the importance of using evidence-based interventions to address skill deficits for individuals...

Ganz, Jennifer B.; Rispoli, Mandy J.; Mason, Rose A.; Hong, Ee Rea

327

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

Gasoline and Diesel Fuel Update (EIA)

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

328

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

SciTech Connect (OSTI)

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

NONE

1995-05-31T23:59:59.000Z

329

Preliminary Assumptions for Wind Technologies  

E-Print Network [OSTI]

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

330

Enforcement Cases  

Broader source: Energy.gov (indexed) [DOE]

cases Office of the General Counsel 1000 cases Office of the General Counsel 1000 Independence Ave., SW Washington, DC, 20585 202-586-5281 en AeroSys: Order (2011-SCE-1624) http://energy.gov/gc/downloads/aerosys-order-2011-sce-1624 AeroSys: Order (2011-SCE-1624)

331

Case Study  

Broader source: Energy.gov (indexed) [DOE]

Case Study Case Study M2M Smart Grid Investment Grant 1 An irrigation pump connected to a web---to---wireless controller designed by M2M Communications. Agricultural Demand Response Program in California Helps Farmers Reduce Peak Electricity Usage, Operate More Efficiently Year---Round The development of a two---way, web---to---wireless controller for irrigation pumps is the foundation for an agricultural demand response program in California. Designed by M2M Communications of Boise, Idaho, the controller is part of an irrigation load control system that also includes sensors, smart meters, and other monitoring equipment. Partially funded with $2.2 million in Recovery Act stimulus funds awarded by the U.S. Department of

332

Case Number:  

Broader source: Energy.gov (indexed) [DOE]

Name of Petitioner: Name of Petitioner: Date of Filing: Case Number: Department of Energy Washington, DC 20585 JUL 2 2 2009 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Appeal Dean P. Dennis March 2, 2009 TBA-0072 Dean D. Dennis filed a complaint of retaliation under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Mr. Dennis alleged that he engaged in protected activity and that his employer, National Security Technologies, LLC (NSTec ), subsequently terminated him. An Office of Hearings and Appeals (OHA) Hearing Officer denied relief in Dean P. Dennis, Case No. TBH-0072, 1 and Mr. Dennis filed the instant appeal. As discussed below, the appeal is denied. I. Background The DOE established its Contractor Employee Protection Program to "safeguard public

333

FOIA Cases  

Broader source: Energy.gov (indexed) [DOE]

foia-cases Office of Hearings and Appeals 1000 foia-cases Office of Hearings and Appeals 1000 Independence Ave., SW Washington, DC, 20585 202-287-1566 en FIA-13-0077 - In the Matter of John F. Garrity http://energy.gov/oha/downloads/fia-13-0077-matter-john-f-garrity FIA-13-0077 - In the Matter of John F. Garrity

334

Security Cases  

Broader source: Energy.gov (indexed) [DOE]

security-cases Office of Hearings and Appeals 1000 security-cases Office of Hearings and Appeals 1000 Independence Ave., SW Washington, DC, 20585 202-287-1566 en PSH-13-0103 - In the Matter of Personnel Security http://energy.gov/oha/downloads/psh-13-0103-matter-personnel-security PSH-13-0103 - In the Matter of Personnel Security

335

Whistleblower Cases  

Broader source: Energy.gov (indexed) [DOE]

whistleblower-cases Office of Hearings and Appeals whistleblower-cases Office of Hearings and Appeals 1000 Independence Ave., SW Washington, DC, 20585 202-287-1566 en WBX-12-0004 - In the Matter of Denise Hunter http://energy.gov/oha/downloads/wbx-12-0004-matter-denise-hunter WBX-12-0004 - In the Matter of Denise Hunter

336

EIA Cases  

Broader source: Energy.gov (indexed) [DOE]

eia-cases Office of Hearings and Appeals 1000 eia-cases Office of Hearings and Appeals 1000 Independence Ave., SW Washington, DC, 20585 202-287-1566 en TEE-0073 - In the Matter of Cole Distributing, Inc. http://energy.gov/oha/downloads/tee-0073-matter-cole-distributing-inc TEE-0073 - In the Matter of Cole Distributing, Inc.

337

Defect site prediction based upon statistical analysis of fault signatures  

E-Print Network [OSTI]

Good failure analysis is the ability to determine the site of a circuit defect quickly and accurately. We propose a method for defect site prediction that is based on a site's probability of excitation, making no assumptions about the type...

Trinka, Michael Robert

2004-09-30T23:59:59.000Z

338

An assessment of energy balance from sugar-based ethanol for fuel-saving and climate policy - the case of an island economy  

Science Journals Connector (OSTI)

The study assesses the efficiency of sugar-based ethanol production in Mauritius using the net energy balance and energy ratio. The findings indicate a positive net energy balance. For every one unit of fossil fuel used, the system returns more than six times in terms of renewable energy from ethanol. The fuel savings and other economic benefits which may be accrued to Mauritius are discussed. The sensitivity analysis shows that the fossil energy consumed in the production of fertilisers and in the transportation of feedstock to factory represents the main components which influence efficiency indicators. Greening the supply chain may enhance the efficiency and sustainability of bio-ethanol production systems. Green strategies may include the use of organic fertilisers, clean technology, and sustainable transportation and land use. The efficiency indicators can also be used to guide the CDM for sugar-based ethanol project.

Riad Sultan; Abdel Khoodaruth

2013-01-01T23:59:59.000Z

339

Evaluation of Flood Runoff Reduction Effect of LID (Low Impact Development) based on the Decrease in CN: Case Studies from Gimcheon Pyeonghwa District, Korea  

Science Journals Connector (OSTI)

Abstract LID are spread on a small scale throughout target area, therefore, evaluation of their overall effect on flood reduction is not straightforward. As one solution dealing with this problem, Yoo et al. (2012) proposed a methodology for quantifying the flood runoff reduction effect of storage facilities by curve number (CN). Introduction of various infiltration or storage facilities causes the decrease in CN, which can be calculated using the runoff. The result derived was summarized in a graph showing the decrease in CN as an effect of the runoff reduction. That is, the runoff reduction effect of infiltration or storage facilities was able to be easily estimated using the derived graph. In this study, LID effects of Gimcheon Pyeonghwa district in Korea was quantified using this method. Additionally, the reduction amount of the runoff volume using the method suggested by Yoo et al. (2012) was compared with that estimated by using SWMM 5.0. As a result of this, the effect of LID facilities was shown similarly in both cases using the methodology used in this study and simulated using SWMM 5.0. This result verified that the methodology was valid even though it is straightforward and simple.

J. Sin; C. Jun; J.H. Zhu; C. Yoo

2014-01-01T23:59:59.000Z

340

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

E-Print Network [OSTI]

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

Carvajal, Jorge E.

2011-02-15T23:59:59.000Z

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


341

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

SciTech Connect (OSTI)

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

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

2006-02-01T23:59:59.000Z

342

Fuel Cell Power Model Version 2: Startup Guide, System Designs, and Case Studies. Modeling Electricity, Heat, and Hydrogen Generation from Fuel Cell-Based Distributed Energy Systems  

SciTech Connect (OSTI)

This guide helps users get started with the U.S. Department of Energy/National Renewable Energy Laboratory Fuel Cell Power (FCPower) Model Version 2, which is a Microsoft Excel workbook that analyzes the technical and economic aspects of high-temperature fuel cell-based distributed energy systems with the aim of providing consistent, transparent, comparable results. This type of energy system would provide onsite-generated heat and electricity to large end users such as hospitals and office complexes. The hydrogen produced could be used for fueling vehicles or stored for later conversion to electricity.

Steward, D.; Penev, M.; Saur, G.; Becker, W.; Zuboy, J.

2013-06-01T23:59:59.000Z

343

How do A-train Sensors Intercompare in the Retrieval of Above-Cloud Aerosol Optical Depth? A Case Study-based Assessment  

SciTech Connect (OSTI)

We inter-compare the above-cloud aerosol optical depth (ACAOD) of biomass burning plumes retrieved from different A-train sensors, i.e., MODIS, CALIOP, POLDER, and OMI. These sensors have shown independent capabilities to detect and retrieve aerosol loading above marine boundary layer clouds--a kind of situation often found over the Southeast Atlantic Ocean during dry burning season. A systematic one-to-one comparison reveals that, in general, all passive sensors and CALIOP-based research methods derive comparable ACAOD with differences mostly within 0.2 over homogeneous cloud fields. The 532-nm ACAOD retrieved by CALIOP operational algorithm is largely underestimated; however, its 1064-nm AOD when converted to 500 nm shows closer agreement to the passive sensors. Given the different types of sensor measurements processed with different algorithms, the close agreement between them is encouraging. Due to lack of adequate direct measurements above cloud, the validation of satellite-based ACAOD retrievals remains an open challenge. The inter-satellite comparison, however, can be useful for the relative evaluation and consistency check.

Jethva, H. T.; Torres, O.; Waquet, F.; Chand, Duli; Hu, Yong X.

2014-01-16T23:59:59.000Z

344

Systems engineering approach to environmental risk management: A case study of depleted uranium at test area C-64, Eglin Air Force Base, Florida. Master`s thesis  

SciTech Connect (OSTI)

Environmental restoration is an area of concern in an environmentally conscious world. Much effort is required to clean up the environment and promote environmentally sound methods for managing current land use. In light of the public consciousness with the latter topic, the United States Air Force must also take an active role in addressing these environmental issues with respect to current and future USAF base land use. This thesis uses the systems engineering technique to assess human health risks and to evaluate risk management options with respect to depleted uranium contamination in the sampled region of Test Area (TA) C-64 at Eglin Air Force Base (AFB). The research combines the disciplines of environmental data collection, DU soil concentration distribution modeling, ground water modeling, particle resuspension modeling, exposure assessment, health hazard assessment, and uncertainty analysis to characterize the test area. These disciplines are required to quantify current and future health risks, as well as to recommend cost effective ways to increase confidence in health risk assessment and remediation options.

Carter, C.M.; Fortmann, K.M.; Hill, S.W.; Latin, R.M.; Masterson, E.J.

1994-12-01T23:59:59.000Z

345

Generic Argillite/Shale Disposal Reference Case  

SciTech Connect (OSTI)

Radioactive waste disposal in a deep subsurface repository hosted in clay/shale/argillite is a subject of widespread interest given the desirable isolation properties, geochemically reduced conditions, and widespread geologic occurrence of this rock type (Hansen 2010; Bianchi et al. 2013). Bianchi et al. (2013) provides a description of diffusion in a clay-hosted repository based on single-phase flow and full saturation using parametric data from documented studies in Europe (e.g., ANDRA 2005). The predominance of diffusive transport and sorption phenomena in this clay media are key attributes to impede radionuclide mobility making clay rock formations target sites for disposal of high-level radioactive waste. The reports by Hansen et al. (2010) and those from numerous studies in clay-hosted underground research laboratories (URLs) in Belgium, France and Switzerland outline the extensive scientific knowledge obtained to assess long-term clay/shale/argillite repository isolation performance of nuclear waste. In the past several years under the UFDC, various kinds of models have been developed for argillite repository to demonstrate the model capability, understand the spatial and temporal alteration of the repository, and evaluate different scenarios. These models include the coupled Thermal-Hydrological-Mechanical (THM) and Thermal-Hydrological-Mechanical-Chemical (THMC) models (e.g. Liu et al. 2013; Rutqvist et al. 2014a, Zheng et al. 2014a) that focus on THMC processes in the Engineered Barrier System (EBS) bentonite and argillite host hock, the large scale hydrogeologic model (Bianchi et al. 2014) that investigates the hydraulic connection between an emplacement drift and surrounding hydrogeological units, and Disposal Systems Evaluation Framework (DSEF) models (Greenberg et al. 2013) that evaluate thermal evolution in the host rock approximated as a thermal conduction process to facilitate the analysis of design options. However, the assumptions and the properties (parameters) used in these models are different, which not only make inter-model comparisons difficult, but also compromise the applicability of the lessons learned from one model to another model. The establishment of a reference case would therefore be helpful to set up a baseline for model development. A generic salt repository reference case was developed in Freeze et al. (2013) and the generic argillite repository reference case is presented in this report. The definition of a reference case requires the characterization of the waste inventory, waste form, waste package, repository layout, EBS backfill, host rock, and biosphere. This report mainly documents the processes in EBS bentonite and host rock that are potentially important for performance assessment and properties that are needed to describe these processes, with brief description other components such as waste inventory, waste form, waste package, repository layout, aquifer, and biosphere. A thorough description of the generic argillite repository reference case will be given in Jov Colon et al. (2014).

Zheng, Liange; Jov& #233; Colon, Carlos; Bianchi, Marco; Birkholzer, Jens

2014-08-08T23:59:59.000Z

346

Information and communication technology adoption and diffusion in micro-enterprises: the case of techno-savvy home-based businesses  

Science Journals Connector (OSTI)

The effective use of ICTs for business activities is of significant interest in a digital economy. This paper examines the adoption and diffusion of ICTs by micro home-based businesses (HBB) from an empirical study of 522 firms. Key findings include very high levels of internet, e-mail and cell phone usage for HBBs' business activities; and increasing website adoption levels with increasing geographic sales reach (from local, regional, national, to international). In spite of micro size and limited resources, many of these HBB were techno-savvy and capable of utilising the full range of ICTs to facilitate electronic business communications and online transactions. These findings are significant given the lack of prior research on the HBB sector and the scale of micro-enterprises in economies around the globe.

Delwyn N. Clark; Heather Douglas

2011-01-01T23:59:59.000Z

347

Journal of Peasant Studies 37(4), 2010, forthcoming [version that was sent to the journal for production] Franco et al_EU biofuels_JPS_prodn-corr, 21/07/2010 Assumptions in the European Union biofuels policy:  

E-Print Network [OSTI]

The biofuel project is an agro-industrial development and politically contested policy process where governments increasingly become global actors. European Union (EU) biofuels policy rests upon arguments about societal benefits of three main kinds namely, environmental protection (especially greenhouse gas savings), energy security and rural development, especially in the global South. Each argument involves optimistic assumptions about what the putative benefits mean and how they can be fulfilled. After examining those assumptions, we

unknown authors

348

A rough set-based game theoretical approach for environmental decision-making: A case of offshore oil and gas operations  

Science Journals Connector (OSTI)

Environmental decision-making in offshore oil and gas (OOG) operations can be extremely complex due to conflicting objectives or criteria, availability of vague and uncertain information, and interdependency among multiple decision-makers. Most existing studies ignore conflicting preferences and strategic interactions among decision-makers. This paper presents a game theoretical approach to solve multi-criteria conflict resolution problem under constrained and uncertain environments. Uncertainties in the quantification of imprecise data are expressed using rough numbers. A multi-criteria game is developed to model a decision problem in which three groups of decision-makers (i.e., operators, regulators and service engineers) are involved. This game is solved using the generalized maximin solution concept. With the solution (i.e., optimal weights of the criteria), the rough numbers can be aggregated to an expected payoff for each alternative. Finally, the weights of upper and lower limits of a rough number are employed to transform the expected payoff into a crisp score, based on which all alternatives are ranked to identify the best one. A numerical example is outlined to demonstrate the application of the proposed method to the selection of management scenarios of drilling wastes.

Ming Yang; Faisal I. Khan; Rehan Sadiq; Paul Amyotte

2013-01-01T23:59:59.000Z

349

Migge & Lglise, (2011), "On the emergence of new language varieties: The case of the Eastern Maroon Creole in French Guiana", in Hinrichs L. & Farquharson J. (eds), Variation in the Caribbean: From Creole Continua to  

E-Print Network [OSTI]

this assumption by investigating the synchronic development of the creoles of Suriname in French Guiana. We show as in the case of non-creole languages. Keywords: Language contact, Creoles of Suriname, creole continuum

Paris-Sud XI, Université de

350

Development and Deployment of a Short Rotation Woody Crops Harvesting System Based on a Case New Holland Forage Harvester and SRC Woody Crop Header  

SciTech Connect (OSTI)

Demand for bioenergy sourced from woody biomass is projected to increase; however, the expansion and rapid deployment of short rotation woody crop systems in the United States has been constrained by high production costs and sluggish market acceptance due to problems with quality and consistency from first-generation harvesting systems. The objective of this study was to evaluate the effect of crop conditions on the performance of a single-pass, cut and chip harvester based on a standard New Holland FR-9000 series forage harvester with a dedicated 130FB short rotation coppice header, and the quality of chipped material. A time motion analysis was conducted to track the movement of machine and chipped material through the system for 153 separate loads over 10 days on a 54-ha harvest. Harvester performance was regulated by either ground conditions, or standing biomass on 153 loads. Material capacities increased linearly with standing biomass up to 40 Mgwet ha-1 and plateaued between 70 and 90 Mgwet hr-1. Moisture contents ranged from 39 to 51% with the majority of samples between 43 and 45%. Loads produced in freezing weather (average temperature over 10 hours preceding load production) had 4% more chips greater than 25.4 mm (P < 0.0119). Over 1.5 Mgdry ha-1 of potentially harvested material (6-9% of a load) was left on site, of which half was commercially undesirable meristematic pieces. The New Holland harvesting system is a reliable and predictable platform for harvesting material over a wide range of standing biomass; performance was consistent overall in 14 willow cultivars.

Eisenbies, Mark [SUNY ESF; Volk, Timothy [SUNY ESF

2014-10-03T23:59:59.000Z

351

Management perspectives on usability in a public authority: a case study  

Science Journals Connector (OSTI)

In trying to understand the problem of poor usability in computer-supported work, this article looks at management and their perspective on usability in a public authority. What are their underlying basic values, assumptions and attitudes? Why do managers ... Keywords: UCSD, basic values, case study, management, participatory design, public authority, responsibility, studies of organizations and usability studies, usability

sa Cajander; Jan Gulliksen; Inger Boivie

2006-10-01T23:59:59.000Z

352

Science DMZ Case Studies  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Studies Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ @ UF Science DMZ @...

353

The Use of Interorganizational Network Analysis as a Tool for Evaluating Community-Based Coalitions and Partnerships  

E-Print Network [OSTI]

This dissertation presents a brief history of community-based interventions to improve health, the assumptions when working at the community level health, and a review of notable community-based interventions. When using community health development...

Clark, Heather R.

2014-04-11T23:59:59.000Z

354

The Business Case for SEP  

Broader source: Energy.gov [DOE]

Facilities pursue certification to Superior Energy Performance (SEP) to achieve an attractive return on investment while enhancing sustainability. The business case for SEP is based on detailed accounts from manufacturers that have implemented ISO 50001 and SEP. Gain an insiders view from these pioneers. Read the cost-benefit analysis, case studies, and presentations. A variety of documents and media describe how companies found value through certification to ISO 50001 and SEP.

355

A Simplified Residential Base-Case Model  

E-Print Network [OSTI]

.3 0.25 0 RUN_22 0.088 0.035 0.75 0.082 0.75 0.65 0.65 Frame 0.3 0.35 0 RUN_23 0.088 0.035 0.75 0.082 0.75 0.65 0.65 Frame 0.3 0.35 0.24 Run Name CONSTRUCTION p.9 September 2013 Energy Systems Laboratory, Texas A&M University method, including 7....12 September 2013 Energy Systems Laboratory, Texas A&M University 3.6 DHW Category Finally, the last category is the DHW category, which defines input parameters for a residential electric domestic hot water (DHW) system, in Table 7...

Do, S. L.; Choi, J. H.; Haberl, J. S.

2013-01-01T23:59:59.000Z

356

Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion  

Science Journals Connector (OSTI)

Case retrieval is a primary step in case-based reasoning (CBR). It is important to measure the similarity between each historical case and the target case during the case retrieval process. In recent years, some methods for similarity measure with multiple ... Keywords: Attribute value, Case retrieval, Case-based reasoning (CBR), Emergency response, Gas explosion, Hybrid similarity

Zhi-Ping Fan; Yong-Hai Li; Xiaohuan Wang; Yang Liu

2014-04-01T23:59:59.000Z

357

Validation of and enhancements to an operating-speed-based geometric design consistency evaluation model  

E-Print Network [OSTI]

This thesis documents efforts to validate two elements related to an operating-speed-based geometric design consistency evaluation procedure: (1) the speed reduction estimation ability of the model, and (2) assumptions about acceleration...

Collins, Kent Michael

1995-01-01T23:59:59.000Z

358

Implementing a Hydrogen Energy Infrastructure: Storage Options and System Design  

E-Print Network [OSTI]

on renewable hydrogen production methods such as biomasshydrogen production through dispensing to a vehicle. Base case assumptions Two methods

Ogden, Joan M; Yang, Christopher

2005-01-01T23:59:59.000Z

359

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

Gasoline and Diesel Fuel Update (EIA)

AEO2000 Cases AEO2000 Cases Case name Description Integration mode Reference in text Reference in Appendix G Reference Baseline economic growth, world oil price, and technology assumptions Fully integrated — — Low Economic Growth Gross domestic product grows at an average annual rate of 1.7 percent, compared to the reference case growth of 2.2 percent. Fully integrated p. 49 — High Economic Growth Gross domestic product grows at an average annual rate of 2.6 percent, compared to the reference case growth of 2.2 percent. Fully integrated p. 49 — Low World Oil Price World oil prices are $14.90 per barrel in 2020, compared to $22.04 per barrel in the reference case. Fully integrated p. 50 — High World Oil Price World oil prices are $28.04 per barrel in 2020, compared to $22.04 per barrel in the reference case.

360

Developmental Cell of the assumption that Frizzled and Strabismus con-parted to cells. In the first model, this is assumed to be  

E-Print Network [OSTI]

it is based on the idea Amonlirdviman, K., Khare, N.A., Tree, D.R.P., Chen, W.-S., Axelrod that Adler, P.N., Krasnow, R.E., and Liu, J. (1997). Curr. Biol. 7, 940­949. of Amonlirdviman et al., because

Shilo, Benny

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


361

Case Engineering Group India | Open Energy Information  

Open Energy Info (EERE)

Group India Group India Jump to: navigation, search Name Case Engineering Group India Place Uttar Pradesh, India Sector Services, Solar Product Faridabad-based coal gasifiers and pollution services firm. Through its joint venture with Norasco the firm is planning to venture into solar power generation sector. References Case Engineering Group India[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Case Engineering Group India is a company located in Uttar Pradesh, India . References ↑ "Case Engineering Group India" Retrieved from "http://en.openei.org/w/index.php?title=Case_Engineering_Group_India&oldid=343278" Categories: Clean Energy Organizations

362

LCA in The Netherlands: A Case Study  

Science Journals Connector (OSTI)

The Municipality of Venlo is building new municipal offices based on the guiding principles of C2C. A case study is presented on the townhall Venlo preformed in the LCA tool GreenCalc+ V2 (GC+) in...

Wim Zeiler; Ruben Pelzer; Wim Maassen

2013-01-01T23:59:59.000Z

363

A case-based reasoning, 578 case-based image segmentation, 584-  

E-Print Network [OSTI]

, 26, 36, 37, 40, 57 knowledge discovery process, 6-9, 154-171 KnowledgeSEEKER, 61 Kruskal-Wallis test

Triantaphyllou, Evangelos

364

In Case of Emergency  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

In Case of Emergency In Case of Emergency Print FirePolice Emergency: ext. 7911 Cell phone or off-site: 510-486-7911 When dialing from off-site, the following numbers need to be...

365

A Case Study on a GQM-Based Quality Model for a Domain-Specific Reference Model Catalogue to Support Requirements Analysis within Information Systems Development in the German Energy Market  

Science Journals Connector (OSTI)

Within this contribution, an approach on a goal-question-metric (GQM) based quality model for a domain-specific reference model catalogue is introduced. First of all, we motivate and present an ontology-based ref...

Jos M. Gonzlez; Peter Fettke

2011-01-01T23:59:59.000Z

366

Business Case for CNG in Municipal Fleets (Presentation)  

SciTech Connect (OSTI)

Presentation about compressed natural gas in municipal fleets, assessing investment profitability, the VICE model, base-case scenarios, and pressing questions for fleet owners.

Johnson, C.

2010-07-27T23:59:59.000Z

367

A PI-based control structure as an operating system scheduler  

E-Print Network [OSTI]

A PI-based control structure as an operating system scheduler Martina Maggio, Federico Terraneo, entirely composed of a PI-based control structure. The proposed scheduler is experimented with in several.e., not control-based) policy optimised for that condition, as long as design assumptions such as schedulability

Como, Giacomo

368

Applicability of the Oregon-based Public and Private Child Welfare Models to Ukraine: A Case Study of the Training Seminars for Ukrainian Officials and Child Welfare Professionals ; Case Study of the Training Seminars for Ukrainian Officials and Child Welfare Professionals .  

E-Print Network [OSTI]

??This study assesses the implementation of Oregon-based child welfare models in Ukraine in the context of the Family For Children (FCP) curriculum. Both trainees' and (more)

Bogolyubova, Yelena

2009-01-01T23:59:59.000Z

369

Case Studies by System  

Broader source: Energy.gov [DOE]

Case studies document the energy savings achieved by large manufacturing companies using AMO's software tools, other technical publications, and best practices.

370

A Case for Ethics  

Science Journals Connector (OSTI)

A Case for Ethics ... As active members of the scientific community, graduate students make ethical judgments about the conduct and presentation of their research. ...

David H. Smith; Brian P. Coppola

1996-01-01T23:59:59.000Z

371

OSCARS Case Study  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

OSCARS Case Study Engineering Services The Network OSCARS How It Works Who's Using OSCARS? OSCARS and Future Tech OSCARS Standard and Open Grid Forum OSCARS Developers Community...

372

Project Finance Case Studies  

Broader source: Energy.gov [DOE]

Presentation covers the Project Finance Case Studies and is given at the Spring 2010 Federal Utility Partnership Working Group (FUPWG) meeting in Rapid City, South Dakota.

373

Sustainable Building Case Studies | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Case Studies Case Studies Sustainable Building Case Studies October 4, 2013 - 4:58pm Addthis These case studies feature examples of sustainably designed buildings and facilities from Federal agencies and industry. High Performance Federal Buildings Database The High Performance Federal Buildings database presents a sampling of sustainable buildings projects in the Federal Government. This database taps into the existing U.S. Department of Energy High Performance Buildings database, showcasing only Federal case study examples. Third-Party Certification ENERGY STAR for Federal Agencies: A site that provides access to the ENERGY STAR Portfolio Manager, the Federal High Performance Sustainable Buildings Checklist, and ENERGY STAR qualified products, and much more. Green Globes: A Web-based program from the Green Building Initiative for

374

Sustainable Building Case Studies | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

Case Studies Case Studies Sustainable Building Case Studies October 4, 2013 - 4:58pm Addthis These case studies feature examples of sustainably designed buildings and facilities from Federal agencies and industry. High Performance Federal Buildings Database The High Performance Federal Buildings database presents a sampling of sustainable buildings projects in the Federal Government. This database taps into the existing U.S. Department of Energy High Performance Buildings database, showcasing only Federal case study examples. Third-Party Certification ENERGY STAR for Federal Agencies: A site that provides access to the ENERGY STAR Portfolio Manager, the Federal High Performance Sustainable Buildings Checklist, and ENERGY STAR qualified products, and much more. Green Globes: A Web-based program from the Green Building Initiative for

375

Five case studies of multifamily weatherization programs  

SciTech Connect (OSTI)

The multifamily case studies that are the subject of this report were conducted to provide a better understanding of the approach taken by program operators in weatherizing large buildings. Because of significant variations in building construction and energy systems across the country, five states were selected based on their high level of multifamily weatherization. This report summarizes findings from case studies conducted by multifamily weatherization operations in five cities. The case studies were conducted between January and November 1994. Each of the case studies involved extensive interviews with the staff of weatherization subgrantees conducting multifamily weatherization, the inspection of 4 to 12 buildings weatherized between 1991 and 1993, and the analysis of savings and costs. The case studies focused on innovative techniques which appear to work well.

Kinney, L; Wilson, T.; Lewis, G. [Synertech Systems Corp. (United States)] [Synertech Systems Corp. (United States); MacDonald, M. [Oak Ridge National Lab., TN (United States)] [Oak Ridge National Lab., TN (United States)

1997-12-31T23:59:59.000Z

376

A Case Study of Radar Observations and WRF LES Simulations of the Impact of Ground-Based Glaciogenic Seeding on Orographic Clouds and Precipitation. Part I: Observations and Model Validations  

Science Journals Connector (OSTI)

Profiling airborne radar data and accompanying large-eddy-simulation (LES) modeling are used to examine the impact of ground-based glaciogenic seeding on cloud and precipitation in a shallow stratiform orographic winter storm. This storm occurred ...

Xia Chu; Lulin Xue; Bart Geerts; Roy Rasmussen; Daniel Breed

2014-10-01T23:59:59.000Z

377

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Industrial Demand Module Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 9 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 20). The Industrial Demand Module forecasts energy consumption at the four Census region levels; energy consumption at the Census Division level is allocated by using the SEDS24 data. The energy-intensive industries (food and kindred products, paper and allied products, bulk chemicals, glass and glass products, hydraulic cement, blast furnace and basic steel products, and aluminum) are modeled in considerable detail. Each industry is modeled as three separate but interrelated components consisting of the Process Assembly (PA) Component, the Buildings Component (BLD), and the Boiler/Steam/Cogenera- tion (BSC) Component. The BSC Component satisfies the steam demand from the PA and BLD Components. In some industries, the PA Component produces byproducts that are consumed in the BSC Component. For the manufacturing industries, the PA Component is separated into the major production processes or end uses.

378

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Transportation Demand Module Transportation Demand Module The NEMS Transportation Demand Module estimates energy consumption across the nine Census Divisions and over ten fuel types. Each fuel type is modeled according to fuel-specific technology attributes applicable by transportation mode. Total transportation energy consumption is the sum of energy use in eight transport modes: light-duty vehicles (cars, light trucks, sport utility vehicles and vans), commercial light trucks (8501-10,000 lbs gross vehicle weight), freight trucks (>10,000 lbs gross vehicle weight), freight and passenger airplanes, freight rail, freight shipping, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

379

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

380

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 . . . . . . . . . . .

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


381

Assumptions to the Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Oil and Gas Supply Module Oil and Gas Supply Module The NEMS Oil and Gas Supply Module (OGSM) constitutes a comprehensive framework with which to analyze oil and gas supply. A detailed description of the OGSM is provided in the EIA publication, Model Documentation Report: The Oil and Gas Supply Module (OGSM), DOE/EIA-M063(2003), (Washington, DC, February 2003). The OGSM provides crude oil and natural gas short-term supply parameters to both the Natural Gas Transmission and Distribution Module and the Petroleum Market Module. The OGSM simulates the activity of numerous firms that produce oil and natural gas from domestic fields throughout the United States, acquire natural gas from foreign producers for resale in the United States, or sell U.S. gas to foreign consumers.

382

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).

383

Assumptions to the Annual Energy Outlook 2013  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

set using a discount rate of 10 percent. The model limits the annual builds to one two-train facility a year, with total annual export capacity of 400 billion cubic feet. The...

384

Assumptions to the Annual Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

for EIA (SENTECH Incorporated, 2010). Wind: The Cost and Performance of Distributed Wind Turbines, 2010-35 (ICF International, 2010). 31 U.S. Energy Information Administration |...

385

Assumptions to the Annual Energy Outlook 2013  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

and U.S. Energy Information Administration, The Cost and Performance of Distributed Wind Turbines, 2010-35 Final Report, ICF International, August 2010. 43 U.S. Energy Information...

386

Assumptions to the Annual Energy Outlook 2014  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Onshore Lower 48 Oil and Gas Supply Submodule, Offshore Oil and Gas Supply Submodule, Oil Shale Supply Submodule 1, and Alaska Oil and Gas Supply Submodule. A detailed...

387

Supply-side Resources & Planning Assumptions  

E-Print Network [OSTI]

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

388

Appendix MASS: Performance Assessment Modeling Assumptions  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Rock Units MASS-12.2 Historical Context of the Salado Conceptual Model MASS-12.3 The Fracture Model MASS-12.4 Flow in the DRZ MASS-12.5 Actinide Transport in the Salado MASS-13.0...

389

Assumptions to the Annual Energy Outlook 2013  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Act of 2006 (AB32) AB32 established a comprehensive, multi-year program to reduce Green House Gas (GHG) emissions in California, including a cap-and-trade program. In...

390

Assumptions to the Annual Energy Outlook 2013  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

Rule (CAIR), which was reinstated as binding legislation after the Cross- State Air Pollution Rule (CSAPR) 4 was vacated on August 21, 2012; updated handling of the...

391

Phenomenology: history, its methodological assumptions and application .  

E-Print Network [OSTI]

??This study aims to provide a deeper understanding of phenomenology firstly by tracing its historical roots and locating it within its philosophical framework. This aim (more)

Mohamed-Patel, Rahima

2008-01-01T23:59:59.000Z

392

The use of sustainable combined cycle technologies in Cyprus: a case study for the use of LOTHECO cycle  

Science Journals Connector (OSTI)

In this work, a costbenefit analysis concerning the use of the low temperature heat combined cycle (LOTHECO cycle) in Cyprus is carried out. Also, the expected main emissions from the LOTHECO cycle are compared with existing commercial technologies. In particular, the future generation system of Cyprus power industry is simulated by the independent power producers optimization algorithm and by the long-term expansion software Wien Automatic System Planning. Various conventional generation options are examined and compared with LOTHECO cycle parametric studies. The economic analysis, based on the assumptions used and the candidate technologies examined, indicated that in the case of conventional technologies the least cost solution is the natural gas combined cycle. Additional computer runs with the various LOTHECO cycle parametric studies indicated that for efficiencies greater than 60% and capital cost between 700 and 900 /kW, LOTHECO cycle is the least cost generation technology. Furthermore, the current state and future improvements of the environmental indicators of the power industry in Cyprus are presented. It is estimated that by the use of LOTHECO cycle instead of the business as usual scenario, the principal environmental indicators would be reduced by the year 2010 by approximately ?23% instead of ?8%. Further, the carbon dioxide environmental indicator will be reduced by +24% instead of +68%.

Andreas Poullikkas; Adonis Kellas

2004-01-01T23:59:59.000Z

393

Bistatic occlusion effect of missile warhead based on micro-Doppler effect  

Science Journals Connector (OSTI)

Abstract Micro-Doppler effect is induced by the micro-motion dynamics of the radar target itself or any structure on the target. Spinning, coning and wobble are typical basic micro-motions of missile warhead. In this paper, a cone-shaped model for missile warhead with micro-nutation is established under the case of bistatic radar system, followed by the theoretical formula of bistatic micro-nutation is derived. Using the method of short-time Fourier transform, which confirms the simulated results are identical to the theoretical results. In addition, in order to further approach the actual environment. Base on micro-Doppler effect, the effective scattering center model with occlusion effect is considered under the case of bistatic radar system. The simulated results are compared with the fixed scattering point model without the occlusion effect. By the simulation studies, it shows the otherness between the actual environment and ideal assumption. A certain of theoretical analysis conclusions for extracting the features of missile warhead in bistatic radar system are gained, which can be applied to radar target recognition in the future work.

Ming Li; Yuesong Jiang

2014-01-01T23:59:59.000Z

394

Science DMZ Case Studies  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Studies Studies About ESnet Overview ESnet Staff Governance Our Network Case Studies OSCARS Case Studies Science DMZ Case Studies Science DMZ CU Science DMZ Penn State & VTTI Science DMZ NOAA Science DMZ NERSC Science DMZ ALS Multi-facility Workflow LCLS ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Careers Contact Us Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Science DMZ Case Studies Developed by ESnet engineers, the Science DMZ model addresses common network performance problems encountered at any institution by creating an environment that is tailored to the needs of high performance science

395

Case No. VBU-0016  

Broader source: Energy.gov (indexed) [DOE]

16 16 September 15, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Appeal Name of Petitioner:Gary Roybal Date of Filing:June 23, 1999 Case Number:VBU-0016 On October 6, 1998, Gary Roybal (Roybal) filed a complaint under the Department of Energy (DOE) Contractor Employee Protection Program, codified at 10 C.F.R. Part 708. The regulations governing the program were revised in a new interim final rule that took effect on April 14, 1999. Along with other procedural changes, the interim final rule reassigned the investigative function to the Office of Hearings and Appeals. All of the pending whistleblower cases in the investigative stage, including Roybal's case, were then transferred to OHA. The OHA investigator assigned to the case dismissed Roybal's complaint on June 11, 1999. On June 23,

396

Before a Rate Case  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

is made up of two processes. The first part of the IBR is the Integrated Program Review (IPR), which will address proposed program costs prior to their inclusion in a rate case,...

397

Case Study Performance Data  

Science Journals Connector (OSTI)

This handbook includes fourteen case studies, as selected to illustrate a range of BIPV approaches. They also provide a set of real data on working systems from around the world with full installation details....

2009-01-01T23:59:59.000Z

398

Portfolio Safeguard Case Studies  

Science Journals Connector (OSTI)

This case study designs a portfolio of credit default swaps (CDS) and credit indices to hedge against changes in a collateralized debt obligation (CDO) book. The hedging problem is to minimize risk of portfolio l...

Michael Zabarankin; Stan Uryasev

2014-01-01T23:59:59.000Z

399

On utility-based derivative pricing with and without intermediate trades  

E-Print Network [OSTI]

On utility-based derivative pricing with and without intermediate trades Jan Kallsen and Christoph on the assumption that investors are identical utility maximizers and that deriva- tive supply and demand are balanced. It is closely related to (marginal) utility-based pricing in the sense of Hugonnier et al. (2005

Kallsen, Jan

400

Safety Case Depictions vs. Safety Cases Would the Real Safety Case Please Stand Up?  

E-Print Network [OSTI]

Safety Case Depictions vs. Safety Cases ­ Would the Real Safety Case Please Stand Up? Ibrahim Habli York, UK ibrahim.habli@cs.york.ac.uk, tim.kelly@cs.york.ac.uk Keywords: Safety Cases, Safety Arguments, GSN, Safety Assurance, Certification Abstract The integrity of the safety case depends primarily

Kelly, Tim

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


401

Case No. VBR-0002  

Broader source: Energy.gov (indexed) [DOE]

VBR-0002 VBR-0002 January 24, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Supplemental Order Name of Petitioner: Westinghouse Savannah River Company Date of Filing: November 12, 1999 Case Number: VBR-0002 This supplemental order concerns a Motion for Reconsideration (Case No. VBR-0002) filed by Westinghouse Savannah River Company (WSRC) on November 12, 1999. The reconsideration motion relates to an Initial Agency Decision issued by the Office of Hearings and Appeals (OHA) of the Department of Energy (DOE) on November 2, 1999 (Case No. VBH-0002). In the Initial Agency Decision, I granted relief to the Complainant on the whistleblower complaint he had filed against WSRC under 10 C.F.R. Part 708.(1) I found that WSRC had failed to prove by "clear and convincing" evidence

402

Case No. VWD-0004  

Broader source: Energy.gov (indexed) [DOE]

4 4 July 1, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion for Discovery Supplemental Order Names of Petitioners:Princeton University General Physics Corporation Date of Filing: June 10, 1999 Case Number: VWD-0004 This decision will consider a Motion for Discovery filed jointly by Princeton University (Princeton) and General Physics Corporation (GPC) on June 10, 1999 with the Office of Hearings and Appeals (OHA) of the Department of Energy (DOE). The discovery motion relates to a hearing requested by David Turner under the DOE's Contractor Employee Protection Program, 10 C.F.R. Part 708 (Part 708). The OHA has assigned Mr. Turner's hearing request Case No. VWA-0038, and the discovery request under consideration Case No. VWD-0004. I. Background A. The DOE Contractor Employee Protection Program

403

Case No. VBH-0025  

Broader source: Energy.gov (indexed) [DOE]

5 5 June 22, 2000 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Case: Alizabeth Aramowicz Smith Date of Filing:July 6, 1999 Case Number: VBH-0025 This Initial Agency Decision concerns a whistleblower complaint filed by Alizabeth Aramowicz Smith, a former contractor employee at the Oak Ridge National Laboratory. As explained below, Smith's complaint should be denied. This case arises under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708, the "whistleblower" regulations. The whistleblower regulations prohibit a contractor from retaliating against a contractor employee who engages in protected conduct. Protected conduct includes disclosing information that the employee believes reveals 1) a substantial violation of a law, rule, or

404

Case No. VWD-0002  

Broader source: Energy.gov (indexed) [DOE]

2 2 May 21, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion for Discovery Supplemental Order Name of Petitioner:Frank E. Isbill Date of Filing: May 4, 1999 Case Number: VWD-0002 This determination will consider two requests for discovery filed with the Office of Hearings and Appeals (OHA) on May 4, 1999, by Frank E. Isbill (the complainant). These requests (which have been grouped together as one Motion for Discovery, Case No. VWD-0002) concern the hearing requested by the complainant under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708 (Part 708). He requested this hearing on March 29, 1999 (Case No. VWA-0034) in connection with the Part 708 complaint he filed against NCI Communications, Inc. (the contractor). The DOE recently

405

Case No. VWZ-0017  

Broader source: Energy.gov (indexed) [DOE]

7 7 November 10, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion to Dismiss Name of Petitioner: University of California Date of Filing: October 6, 1999 Case Number: VWZ-0017 This decision considers a Motion to Dismiss filed by the University of California (the University) on October 6, 1999. In its Motion, the University seeks dismissal of the complaint filed against it by Charles Montaño under the Department of Energy's (DOE) Contractor Employee Protection Program, which is codified at 10 C.F.R. Part 708. Montaño's complaint under Part 708 has been assigned Office of Hearings and Appeals (OHA) Case No. VWA-0042. The present Motion has been assigned Case No. VWZ-0017. The Department of Energy established its Contractor Employee Protection Program to safeguard "public

406

Case No. VWZ-0010  

Broader source: Energy.gov (indexed) [DOE]

0 0 May 12, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion to Dismiss Name of Petitioner: West Valley Nuclear Services Co., Inc. Date of Filing: April 27, 1999 Case Number: VWZ-0010 This decision considers a "Motion to Dismiss" filed by West Valley Nuclear Services, Inc. (West Valley) on April 27, 1999. In its Motion, West Valley seeks the dismissal of a Complaint filed by John L. Gretencord (Gretencord) under the Department of Energy's (DOE) Contractor Employee Protection Program, which is codified at 10 C.F.R. Part 708. Mr. Gretencord requested a hearing on his Complaint under 10 C.F.R. Part 708 on March 19, 1999, and it has been assigned Office of Hearings and Appeals (OHA) Case No. VWA-0033. The present Motion has been assigned Case No. VWZ-0010.

407

Case No. VBH-0023  

Broader source: Energy.gov (indexed) [DOE]

3 3 March 31, 2000 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Case: Stephanie A. Ashburn Date of Filing:July 6, 1999 Case Number: VBH-0023 This Initial Agency Decision concerns a whistleblower complaint filed by Stephanie A. Ashburn, a former fellow of the Oak Ridge Institute for Science and Education (ORISE). As explained below, Ashburn's complaint is denied. This case arises under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708, the "whistleblower" regulations. The whistleblower regulations prohibit a contractor from retaliating against a contractor employee who engages in protected conduct. Protected conduct includes disclosing information that the employee believes reveals 1) a substantial violation of a law, rule, or

408

Case No. VBZ-0047  

Broader source: Energy.gov (indexed) [DOE]

47 47 August 30, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion for Summary Judgment Name of Case: Edward J. Seawalt Date of Filing: August 23, 2000 Case Number: VBZ-0047 This decision will consider a Motion for Summary Judgment that Contract Associates, Inc., ("the contractor") filed on August 23, 2000. The contractor moves to deny a complaint filed by Edward J. Seawalt ("Mr. Seawalt" or "the complainant") under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Mr. Seawalt's complaint has been set for a hearing under Office of Hearings and Appeals (OHA) Case No. VBH-0047. I. Background The Department of Energy established its Contractor Employee Protection Program to safeguard "public

409

Case No. VWX-0014  

Broader source: Energy.gov (indexed) [DOE]

VWX-0014 VWX-0014 November 29, 1999 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Supplemental Order Name of Case:Frank E. Isbill Date of Filing:November 4, 1999 Case Number: VWX-0014 This Decision supplements an Initial Agency Decision, dated September 27, 1999, issued by the undersigned Hearing Officer of the Office of Hearings and Appeals (OHA) of the Department of Energy in a case involving a "whistleblower" complaint filed by Frank E. Isbill (the complainant) under 10 C.F.R. Part 708. See Frank E. Isbill, 27 DOE ¶ 87,529 (1999). In the Decision, I found that NCI Information Systems, Inc. (the contractor), a DOE contractor, had violated the provisions of 10 C.F.R. § 708.5 by removing the complainant's supervisory duties in reprisal for his making protected disclosures related to a

410

Case No. VBZ-0057  

Broader source: Energy.gov (indexed) [DOE]

57 57 November 1, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motions to Dismiss Name of Petitioner: Janet K. Benson Date of Filings: April 6, 2000 August 7, 2000 Case Numbers: VBZ-0057 VBZ-0058 This determination considers Motions to Dismiss(1) filed by Lawrence Livermore National Laboratory (Laboratory)(2) under the Department of Energy's (DOE's) Contractor Employee Protection Program, 10 C.F.R. Part 708. In these Motions, the Laboratory contends that the claims asserted by Janet Benson in OHA Case No. VWA-0044 are defective as a matter of law and should not be determined on the merits.(3) The Laboratory makes the following arguments in support of these Motions: (1) The Laboratory cannot be held liable for any acts of reprisal that occurred prior to September 23, 1994, the date it agreed to comply with Part 708 (OHA Case No. VBZ-0057);

411

Case No. VBZ-0028  

Broader source: Energy.gov (indexed) [DOE]

28 28 October 12, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion to Dismiss Name of Petitioner: Sandia Corporation Date of Filing: August 24, 1999 Case Number: VBZ-0028 This decision considers a "Motion to Dismiss" filed by the Sandia Corporation (Sandia) on August 24, 1999. In its Motion, Sandia seeks judgment on the record of Complaint filed by Dr. Jiunn Yu (Yu) under the Department of Energy's (DOE) Contractor Employee Protection Program, which is codified at 10 C.F.R. Part 708. Yu's Complaint under 10 C.F.R. Part 708 has been assigned Office of Hearings and Appeals (OHA) Case No. VBH-0028. The present Motion has been assigned Case No. VBZ-0028. The Department of Energy established its Contractor Employee Protection Program to safeguard "public

412

Case No. VWZ-0011  

Broader source: Energy.gov (indexed) [DOE]

1 1 May 19, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion to Dismiss Name of Petitioner: West Valley Nuclear Services Co., Inc. Date of Filing: May 18, 1999 Case Number: VWZ-0011 This decision considers a "Motion to Dismiss" filed by West Valley Nuclear Services, Inc. (West Valley) on May 18, 1999. In its Motion, West Valley seeks the partial dismissal of a Complaint filed by John L. Gretencord (Gretencord) under the Department of Energy's (DOE) Contractor Employee Protection Program, which is codified at 10 C.F.R. Part 708. Mr. Gretencord requested a hearing on his Complaint under 10 C.F.R. Part 708 on March 19, 1999, and it has been assigned Office of Hearings and Appeals (OHA) Case No. VWA-0033. The present Motion has been assigned Case No. VWZ-0011.

413

Case No. VBX-0014  

Broader source: Energy.gov (indexed) [DOE]

VBX-0014 VBX-0014 April 25, 2000 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Supplemental Order Name of Case: Roy Leonard Moxley Date of Filing:January 10, 2000 Case Number: VBX-0014 This Decision supplements an Initial Agency Decision, dated December 29, 1999, that I issued as the Hearing Officer in a case involving a "whistleblower" complaint. The complaint was filed by Roy Leonard Moxley under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708. See Roy Leonard Moxley, 27 DOE ¶ 87,546 (1999) (the Initial Agency Decision). In that Decision, I found that Westinghouse Savannah River Company (WSRC), a DOE contractor, had violated the provisions of 10 C.F.R. § 708.5 by reducing Mr. Moxley's salary grade level (SGL) from SGL 31 to SGL

414

Project Finance Case Studies  

Broader source: Energy.gov (indexed) [DOE]

Finance Case Finance Case Studies FUPWG Meeting October 21, 2010 RENEWABLE ENERGY * Solar, wind, biomass and geothermal power resources show great promise to positively impact both the environment and energy security. * While these technologies are coming down in cost, there is often no price associated with carbon content, causing renewable energy to remain more expensive than fossil fuels in most markets. * Utilizing Treasury Cash Grant, Investment and Production Tax Credits, Renewable Energy Credits and state rebates is essential to a project's viability. WATER and WASTEWATER * With operating budgets stretched, many public-sector utilities are struggling to upgrade critical water treatment facilities to comply with changing environmental regulations or to maintain system efficiencies.

415

Marketing Case Inventory --1 Marketing Curriculum Case Inventory  

E-Print Network [OSTI]

Marketing Case Inventory -- 1 Marketing Curriculum Case Inventory AY 13-14 Case / Publisher / Case# Marketing Management ConsumerResearch MarketingStrategy MarketingResearch B2BMarketing Entrepreneurial Marketing BehavioralDecision Making SocialMedia&Digital Marketing Competitive Pricing AdvancedMarketing

von der Heydt, Rüdiger

416

Geothermal Case Studies  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

database.) In fiscal year 2015, NREL is working with universities to populate additional case studies on OpenEI. The goal is to provide a large enough dataset to start conducting analyses of exploration programs to identify correlations between successful exploration plans for areas with similar geologic occurrence models.

Young, Katherine

417

Security Cases | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

July 31, 2012 July 31, 2012 PSH-12-0042 - In the Matter of Personnel Security Hearing This case involves an Individual who failed to meet his financial obligations during the final years of his first marriage. The Individual reported the repossession of his motor vehicle and a home foreclosure to the Local Security Office (LSO) in 2008. The LSO subsequently conducted a series of three Personal Security Interviews (PSI) of the Individual, the most recent on February 1, 2012. July 27, 2012 PSH-12-0050 - In the Matter of Personnel Security Hearing The individual's present employer, a DOE contractor, has requested a DOE access authorization for the individual. The individual completed and submitted an Electronic Questionnaire for Investigations Processing (QNSP) in November 2011. DOE Exhibit 8. Based on issues contained in the

418

Risk Informed Safety Margin Characterization Case Study: Selection of  

Broader source: Energy.gov (indexed) [DOE]

Case Study: Selection Case Study: Selection of Electrical Equipment To Be Subjected to Environmental Qualification Risk Informed Safety Margin Characterization Case Study: Selection of Electrical Equipment To Be Subjected to Environmental Qualification Reference 1 discussed key elements of the process for developing a margins-based "safety case" to support safe and efficient operation for an extended period. The present report documents (in Appendix A) a case study, carrying out key steps of the Reference 1 process, using an actual plant Probabilistic Risk Assessment (PRA) model. In general, the margins-based safety case helps the decision-maker manage plant margins most effectively. It tells the plant decision-maker such things as what margin is present (at the plant level, at the functional

419

Towards a model based approach for integration testing  

Science Journals Connector (OSTI)

In this paper, we introduce a model based approach for integration test cases generation. The approach is based on UML 2 Testing Profile and follows the Mode-Driven Architecture for generating integration test cases from unit test models. The generated ... Keywords: UTP, integration testing, model based testing, test cases generation

Mohamed Mussa; Ferhat Khendek

2011-07-01T23:59:59.000Z

420

Case Generation Using Rough Sets with Fuzzy Representation  

E-Print Network [OSTI]

Case Generation Using Rough Sets with Fuzzy Representation Sankar K. Pal, Fellow, IEEE, and Pabitra a fuzzy granulation of the feature space. Rough set theory is used to obtain dependency rules which model-life data sets. Index Terms--Case-based reasoning, linguistic representation, rough dependency rules

Mitra, Pabitra

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


421

Case No. VWZ-0012  

Broader source: Energy.gov (indexed) [DOE]

2 2 August 6, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion to Dismiss Name of Case: Lucy B. Smith Date of Filing: June 30, 1999 Case Number: VWZ-0012 This determination will consider a Motion to Dismiss filed by Westinghouse Savannah River Company (WSRC) on June 30, 1999. WSRC seeks dismissal of the underlying complaint filed by Lucy B. Smith under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708. I. Background Ms. Smith's Part 708 complaint arises from her employment as a chemist with WSRC at DOE's Savannah River Site. Ms. Smith alleges that she made three protected disclosures involving health and safety concerns to WSRC officials during the last half of 1996. Subsequently, on January 20, 1997, Ms. Smith received a Reduction in Force notice from WSRC. Ms. Smith then filed a complaint with the United

422

EDO: Case Studies  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

EDO Case Studies EDO Case Studies Technology Transfer / Technology Assistance Technology identifies anomalies in complex financial data Identifying atypical information in financial data early could help determine problematic financial trends such as the systemic risk that recently put the U.S. and global financial systems in a downward fall. Recognizing such anomalous information can also help regulators understand markets, and identify the potential need of new rules and regulations. Additionally, it can help investors and advisors better manage their investment and savings portfolios. The AnomalatorTM software, developed at Pacific Northwest National Laboratory, uses advanced mathematical algorithms to identify unusual trends in complex financial data and graphically show how it compares with

423

Case No. VWA-0040  

Broader source: Energy.gov (indexed) [DOE]

0 0 December 13, 1999 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Case: Rosie L. Beckham Date of Filing: April 27, 1999 Case Number: VWA-0040 Rosie L. Beckham (hereinafter the complainant) filed a complaint against her former employer, KENROB and Associates, Inc. (hereinafter the contractor) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. The program prohibits a DOE contractor from retaliating against an employee for disclosing certain information (a protected disclosure). A DOE office investigated the complaint and issued a report, which concluded that the complainant was not entitled to relief. The complainant requested a hearing, and I was appointed to conduct the hearing and issue an

424

Case No. VBH-0021  

Broader source: Energy.gov (indexed) [DOE]

21 21 February 7, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Case: Eugene J. Dreger Date of Filing: July 14, 1999 Case Number: VBH-0021 This Initial Agency Decision addresses a whistleblower complaint filed by Eugene J. Dreger (the complainant) against his former employer, Reynolds Electrical & Engineering Co., Inc. (REECO) under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708. At the time of the incidents described below, Dreger worked at the DOE's Nevada Test Site as a safety inspector. REECO was a primary contractor at the Test Site until December 31, 1995. Beginning January 1, 1996, Bechtel Nevada assumed this responsibility, and it has also assumed responsibility for litigation relating to

425

Case No. VBZ-0005  

Broader source: Energy.gov (indexed) [DOE]

05 05 October 4, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion to Dismiss Name of Petitioner: Fluor Daniel Fernald Date of Filing: September 7, 1999 Case Number: VBZ-0005 This decision will consider a Motion to Dismiss Fluor Daniel Fernald (FDF) filed on September 7, 1999. FDF moves to dismiss a Complaint filed by Thomas W. Dwyer under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Mr. Dwyer's Complaint has been assigned Office of Hearings and Appeals (OHA) Case No. VBH-0005. I. Background The Department of Energy established its Contractor Employee Protection Program to safeguard "public and employee health and safety; ensur[e] compliance with applicable laws, rules, and regulations; and prevent[] fraud, mismanagement, waste, and abuse" at DOE's Government-owned or -leased facilities.

426

Case No. VWA-0039  

Broader source: Energy.gov (indexed) [DOE]

9 9 February 25, 2000 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Case: Luis P. Silva Date of Filing: April 27, 1999 Case Number: VWA-0039 This Initial Agency Decision concerns a whistleblower complaint filed by Luis P. Silva, a former employee of the Scientific Ecology Group (SEG) and its successor firm, GTS Duratek (GTS).(1) SEG, and then GTS, were subcontractors to Sandia Corporation at the Radioactive and Mixed Waste Management Facility (RMWMF) where Silva worked before he was laid off by GTS in August 1997. Sandia is a subsidiary of Lockheed Martin Company, the management and operating contractor at DOE's Sandia National Laboratories in Albuquerque, New Mexico. In March 1998, Roy F. Weston, Inc. replaced GTS as Sandia's subcontractor at the RMWMF. Silva alleges that he made protected disclosures

427

WSH Case Studies 2012  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and Health Case Summaries and Health Case Summaries Enforcement Workshop, March 2012 1. Unescorted Entry into Active Laser Area A Facilities electrician received a work order from his work lead to install a switch box and a power cord on a vacuum pump in a Class 4 laser room. He arrived escorted by a laser lab scientist to review the scope of work. After reviewing the work to be performed and inspecting the equipment, the electrician alerted the laser lab scientist that he needed additional tools and materials to complete the task. The scientist informed the electrician that he should not work in a laser lab without an escort. The electrician then informed his work lead that he needed to re- schedule the job. The work lead did not discuss or address the work area hazards and controls

428

Case No. VBA-0055  

Broader source: Energy.gov (indexed) [DOE]

<BR> Case No. VBA-0055 October 2, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Appeal Name of Petitioner: Lucy Smith Date of Filing: July 20, 2000 Case Number: VBA-0055 This Decision considers an Appeal of an Initial Agency Decision (IAD) issued on July 11, 2000, involving a Complaint filed by Lucy Smith (Smith or the Complainant) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. In her Complaint, Smith claims that her former employer, Westinghouse Savannah River Company (WSRC), a DOE contractor, terminated her employment during a reduction in force (RIF), and then failed to rehire her, in retaliation for making disclosures that are protected under Part 708. In the IAD, however, the Hearing Officer determined that

429

Case No. VBH-0007  

Broader source: Energy.gov (indexed) [DOE]

7 7 September 27, 1999 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Case: Salvatore Gionfriddo Date of Filing: June 23, 1999 Case Number: VBH-0007 On December 28, 1998, Salvatore Gionfriddo (Complainant) filed a Complaint of Reprisal with the Director of the Federal Energy Technology Center of the Department of Energy (DOE) pursuant to 10 C.F.R. Part 708, the DOE Contractor Employee Protection Program. The Complainant alleged that he made a protected disclosure under Part 708 and his employer, Energy Research Corporation (ERC) retaliated against him by terminating his employment. (1) On July 19, 1999, ERC filed a Motion to Dismiss the complaint. The firm claims that its agreement with the DOE is not covered by Part 708 and that it is not obligated to participate in proceedings

430

Case No. VBH-0035  

Broader source: Energy.gov (indexed) [DOE]

5 5 September 22, 1999 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Case: Theresa G. Joyner Date of Filing: August 24, 1999 Case Number: VBH-0035 This Initial Agency Decision concerns a whistleblower complaint filed by Theresa G. Joyner, a former employee (hereinafter the employee) of NCI Information Systems, Inc. (NCI) (hereinafter the contractor). As explained below, the employee's request for relief is denied. I. Background The Department of Energy (DOE) Contractor Employee Protection Program governs this matter. The DOE recently revised the regulations governing this program. See 64 Fed. Reg. 12862 (March 15, 1999) (amending 10 C.F.R. pt. 708) (the whistleblower regulations). Under the regulations, the DOE's Office of

431

Case No. VWZ-0020  

Broader source: Energy.gov (indexed) [DOE]

20 20 February 3, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion to Dismiss Name of Case: Lucy B. Smith Date of Filing: October 14, 1999 Case Number: VWZ-0020 This determination will consider a Motion to Dismiss filed by Westinghouse Savannah River Company (WSRC) on October 14, 1999. WSRC seeks dismissal of three allegations of retaliation by reason of failure to rehire submitted by Lucy B. Smith under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708. In a submission dated December 6, 1999, WSRC further requests dismissal of a discovery request made by Ms. Smith regarding hiring by subcontractors of WSRC. I. Background Ms. Smith's Part 708 complaint arises from her employment as a chemist with WSRC at DOE's Savannah

432

Case No. VWD-0006  

Broader source: Energy.gov (indexed) [DOE]

6 6 August 10, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion for Discovery Name of Petitioner:Lucy B. Smith Date of Filing: August 2, 1999 Case Number: VWD-0006 This determination will consider a Motion for Discovery filed with the Office of Hearings and Appeals (OHA) by Lucy B. Smith. This Motion, dated July 20, 1999, concerns the hearing requested by Ms. Smith under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708 (Part 708). She requested this hearing on May 5, 1999 (Case No. VWA-0041) in connection with the Part 708 complaint she filed against Westinghouse Savannah River Company (WSRC). I. Factual Background Ms. Smith's Part 708 complaint arises from her employment as a chemist with WSRC at DOE's Savannah

433

Case No. VBD-0059  

Broader source: Energy.gov (indexed) [DOE]

59 59 June 8, 2001 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion for Discovery Name of Case: Janet L. Westbrook Date of Filing: June 5, 2001 Case Number: VBD-0059 This determination will consider a Motion for Discovery filed with the Office of Hearings and Appeals (OHA) by UT-Battelle, LLC, the company that manages the Oak Ridge National Laboratory. The Motion relates to a hearing soon to be held on a complaint that Janet L. Westbrook filed under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708 (Part 708). For the reasons stated below, the motion is denied. Ms. Westbrook worked at the Oak Ridge National Laboratory as a radiological engineer. She claims that she has persistently disclosed various safety-related concerns and as a result experienced hostility and

434

Case No. VBD-0063  

Broader source: Energy.gov (indexed) [DOE]

63 63 August 14, 2001 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion for Discovery Name of Petitioner:Bruce R. Field Date of Filing: August 2, 2001 Case Number: VBD-0063 This determination will consider a Motion for Discovery filed with the Office of Hearings and Appeals (OHA) by Bruce R. Field (Field). This Motion, dated August 2, 2001, concerns the hearing requested by Field under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708 (Part 708). Field requested this hearing on April 24, 2001 (Case No. VBH-0063) in connection with the Part 708 complaint he filed against the management and operating contractor, Midwest Research Institute (MRI) for the National Renewable Energy Laboratory (NREL).(1) I. Background Field's complaint arises from his employment at NREL as a Project Manager. During the period 1994 to

435

Case No. VWZ-0016  

Broader source: Energy.gov (indexed) [DOE]

6 6 November 8, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion to Dismiss Name of Petitioner: Charles Montaño Date of Filing: October 4, 1999 Case Number: VWZ-0016 This decision considers a Motion to Dismiss filed by Charles Montaño (Montaño) on October 4, 1999. In his Motion, Montaño seeks dismissal of the hearing scheduled to begin on November 16, 1999 and judgment on the existing record for the Whistleblower Complaint that he filed against the University of California (the University) under the Department of Energy's (DOE) Contractor Employee Protection Program, which is codified at 10 C.F.R. Part 708. His Complaint under 10 C.F.R. Part 708 has been assigned Office of Hearings and Appeals (OHA) Case No. VWA-0042. The present Motion has been

436

Case No. VBU-0050  

Broader source: Energy.gov (indexed) [DOE]

50 50 June 15, 2000 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Decision of the Director Name of Case: Darryl H. Shadel Date of Filing: May 30, 2000 Case Number: VBU-0050 Darryl H. Shadel (the complainant) appeals the dismissal of his whistleblower complaint under 10 C.F.R. Part 708, the DOE Contractor Employee Protection Program. As explained below, I have determined that the complaint was improperly dismissed, and that further processing should be accorded. I. Background A. The DOE Contractor Employee Protection Program Part 708 prohibits contractors from retaliating against contractor employees who engage in protected conduct. Protected conduct includes disclosing information that the employee believes reveals a substantial and specific danger to employees (a protected disclosure). If a contractor retaliates against an employee

437

Case No. VBH-0034  

Broader source: Energy.gov (indexed) [DOE]

4 4 September 29, 1999 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Case: Jennifer S. Gentry Date of Filing: August 24, 1999 Case Number: VBH-0034 This Initial Agency Decision concerns a whistleblower complaint filed by Jennifer S. Gentry, a former employee (hereinafter the employee) of Golder Federal Services Incorporated, formerly Golder Associates, Inc. (Golder). Golder was a subcontractor for EG&G, then the managing and operating contractor at DOE's Rocky Flats site (hereinafter the term "contractors" refers to both Golder and EG&G). The employee alleges that she made protected disclosures concerning health and safety matters, and as a result, the contractors took retaliatory actions against her. For the reasons explained below, I have

438

Case No. VBI-0045  

Broader source: Energy.gov (indexed) [DOE]

VBI-0045 VBI-0045 June 22, 2000 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Decision and Order Name of Case: Joseph P. Carson Date of Filing: March 14, 2000 Case Number: VBI-0045 On March 14, 2000, Joseph P. Carson (Carson) filed a "Whistleblower Reprisal Complaint per section 3164 of the NNSA Authorization Act for FY 2000." Carson is employed by the Department of Energy (DOE) as a Safety Engineer, nominally assigned to the Office of Oversight, Planning and Analysis, Office of the Deputy Assistant Secretary for Oversight, Office of Assistant Secretary for Environment, Safety and Health (EH), but he is currently stationed in Oak Ridge, Tennessee. In the March 14, 2000 complaint, Carson alleges that in 1999 he made a number of protected disclosures about Glenn Podonsky, a senior

439

Case No. VBU-0039  

Broader source: Energy.gov (indexed) [DOE]

39 39 November 30, 1999 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Decision of the Director Name of Case: Edward J. Seawalt Date of Filing: November 2, 1999 Case Number: VBU-0039 Edward J. Seawalt (the complainant) appeals the dismissal of his complaint against Contract Associates, Inc. (the Contractor) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. The program prohibits a DOE contractor from retaliating against an employee for disclosing certain information (a protected disclosure). As explained below, I have determined that Mr. Seawalt's appeal should be granted in part and his complaint remanded for further processing. I. Background A. The DOE Contractor Employee Protection Program The DOE Contractor Employee Protection Program is set forth at 10 C.F.R. Part 708. The DOE recently

440

Case No. VWJ-0001  

Broader source: Energy.gov (indexed) [DOE]

VWJ-0001 VWJ-0001 June 29, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Protective Order Name of Petitioner:Nicholas Dominguez Date of Filing: June 25, 1999 Case Number:VWJ-0001 On April 20, 1999, Nicholas Dominguez filed a request for hearing under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708 (Case No. LWA- 0006). Dominguez alleges that his former employer, Lockheed Martin Energy Research Corporation (Lockheed Martin), retaliated against him for disclosing information concerning possible safety issues. Dominguez seeks discovery of Lockheed Martin documents that the firm claims are confidential business documents. Lockheed Martin has agreed to provide these documents pursuant to the attached Protective Order that has been agreed to by counsel for Dominguez. The parties ask that the attached Agreed

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


441

Product Efficiency Cases  

Broader source: Energy.gov (indexed) [DOE]

product-efficiency-cases Office of Hearings and product-efficiency-cases Office of Hearings and Appeals 1000 Independence Ave., SW Washington, DC, 20585 202-287-1566 en EXC-13-0004 - In the Matter of Liebherr Canada Ltd. http://energy.gov/oha/downloads/exc-13-0004-matter-liebherr-canada-ltd EXC-13-0004 - In the Matter of Liebherr Canada Ltd.

442

Case No. VBU-0047  

Broader source: Energy.gov (indexed) [DOE]

47 47 April 17, 2000 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Decision of the Director Name of Case: Edward J. Seawalt Date of Filing: March 20, 2000 Case Number: VBU-0047 Edward J. Seawalt (the Complainant) appeals the second dismissal of his whistleblower complaint. In a prior decision, I remanded the first dismissal for consideration of whether good reason existed for the Complainant's late filing of his complaint. Edward J. Seawalt, 27 DOE ¶ ____ (1999) (Seawalt). As explained below, I have determined that the Complainant has shown good reason for the late filing of his complaint and, therefore, that the complaint should be remanded for further processing. I. Background A. The DOE Contractor Employee Protection Program The DOE Contractor Employee Protection Program is set forth at 10 C.F.R. Part 708. The DOE's new Part

443

Case No. VWD-0007  

Broader source: Energy.gov (indexed) [DOE]

7 7 August 24, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion for Discovery Name of Petitioner:Linda D. Gass Date of Filing: August 11, 1999 Case Number: VWD-0007 This determination will consider a Motion for Discovery filed with the Office of Hearings and Appeals (OHA) by Linda D. Gass. This Motion, dated August 10, 1999, concerns the hearing requested by Ms. Gass under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708 (Part 708). She requested this hearing on January 12, 1999 (Case No. VWA- 0041) in connection with the Part 708 complaint she filed against Lockheed Martin Energy Systems, Inc. (LMES). I. Background Ms. Gass began working for LMES in March 1982. In her Complaint, Ms. Gass alleged that in 1991 she

444

CASE Consultoria e Servicos Ltda | Open Energy Information  

Open Energy Info (EERE)

search Name: CASE Consultoria e Servicos Ltda Place: Natal, Rio Grande do Norte, Brazil Zip: 59.025-001 Sector: Wind energy Product: Brazil-based wind project developer....

445

Confronting the Black Swan: A Case Study of Corporate Learning  

E-Print Network [OSTI]

Objectives of the Study The objective of this mixed methods case study is two-fold. First, it explores corporate learning using the theory of organizational knowledge creation and one US based corporation to determine the ...

Broaddus, Tamathy Swift

2013-12-31T23:59:59.000Z

446

DOE Zero Energy Ready Home Case Study: Palo Duro Homes, Albuquerque...  

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

Study: Palo Duro Homes, Albuquerque, NM DOE Zero Energy Ready Home Case Study: Palo Duro Homes, Albuquerque, NM Case study of a New Mexico-based home builder who has built more DOE...

447

Geothermal Case Studies  

SciTech Connect (OSTI)

The US Geological Survey (USGS) resource assessment (Williams et al., 2009) outlined a mean 30GWe of undiscovered hydrothermal resource in the western US. One goal of the Geothermal Technologies Office (GTO) is to accelerate the development of this undiscovered resource. The Geothermal Technologies Program (GTP) Blue Ribbon Panel (GTO, 2011) recommended that DOE focus efforts on helping industry identify hidden geothermal resources to increase geothermal capacity in the near term. Increased exploration activity will produce more prospects, more discoveries, and more readily developable resources. Detailed exploration case studies akin to those found in oil and gas (e.g. Beaumont, et al, 1990) will give operators a single point of information to gather clean, unbiased information on which to build geothermal drilling prospects. To support this effort, the National Renewable Energy laboratory (NREL) has been working with the Department of Energy (DOE) to develop a template for geothermal case studies on the Geothermal Gateway on OpenEI. In fiscal year 2013, the template was developed and tested with two case studies: Raft River Geothermal Area (http://en.openei.org/wiki/Raft_River_Geothermal_Area) and Coso Geothermal Area (http://en.openei.org/wiki/Coso_Geothermal_Area). In fiscal year 2014, ten additional case studies were completed, and additional features were added to the template to allow for more data and the direct citations of data. The template allows for: Data - a variety of data can be collected for each area, including power production information, well field information, geologic information, reservoir information, and geochemistry information. Narratives ? general (e.g. area overview, history and infrastructure), technical (e.g. exploration history, well field description, R&D activities) and geologic narratives (e.g. area geology, hydrothermal system, heat source, geochemistry.) Exploration Activity Catalog - catalog of exploration activities conducted in the area (with dates and references.) NEPA Analysis ? a query of NEPA analyses conducted in the area (that have been catalogued in the OpenEI NEPA database.) In fiscal year 2015, NREL is working with universities to populate additional case studies on OpenEI. The goal is to provide a large enough dataset to start conducting analyses of exploration programs to identify correlations between successful exploration plans for areas with similar geologic occurrence models.

Young, Katherine

2014-09-30T23:59:59.000Z

448

UESC Case Study: Philadelphia Navy Yard  

Broader source: Energy.gov (indexed) [DOE]

Case Study Case Study Philadelphia Navy Yard Presented by M. Richard Boyette and Beverly C. Wade 26 October 2011 UESC Financed Energy Projects - Basics Aligning NAVFAC Business Practices with Federal Energy Management Program Processes NAVFAC BMS 5.1.3 UESC Process FEMP UESC Process 2 Sometimes things are difficult, but hard work overcomes obstacles !!!!! Financed Energy Projects - Challenges * Financed Energy Project Challenges * General Issues * Financed projects are designed to save energy costs but overarching goals are set up to reduce energy usage and energy intensity. * Financed projects favor regions or bases with higher utility rates. * Financed projects cannot be utilized in cases where energy consumption is reduced substantially but energy cost savings is

449

Casing design for trapped annular pressure buildup  

SciTech Connect (OSTI)

Conventional single-string analysis for casing design with annular-fluid expansion can underpredict or overpredict pressures between strings because multistring effects are neglected. Multiple-string systems with multiple sealed annuli behave as composite interactive systems. This paper presents a constitutive-based multistring analysis method for composite string effects and complex fluid behavior. The composite stiffness of cemented casings is determined from elastic stress/strain relationships, and the nonlinear fluid behavior is modeled by direct use of fluid PVT relations in the formulation and solution. The method is incorporated in a computer model linking comprehensive stress calculations to accurate temperature and pressure predictions. Sensitivity studies of the system response to various key parameters and operating conditions are presented, and comparisons are made with single-string analyses to demonstrate the strong interaction between casing strings.

Halal, A.S.; Mitchell, R.F. (Enertech Engineering Research Co., Houston, TX (United States))

1994-06-01T23:59:59.000Z

450

Nonrigid registration-based coronary artery motion correction for cardiac computed tomography  

SciTech Connect (OSTI)

Purpose: X-ray computed tomography angiography (CTA) is the modality of choice to noninvasively monitor and diagnose heart disease with coronary artery health and stenosis detection being of particular interest. Reliable, clinically relevant coronary artery imaging mandates high spatiotemporal resolution. However, advances in intrinsic scanner spatial resolution (CT scanners are available which combine nearly 900 detector columns with focal spot oversampling) can be tempered by motion blurring, particularly in patients with unstable heartbeats. As a result, recently numerous methods have been devised to improve coronary CTA imaging. Solutions involving hardware, multisector algorithms, or {beta}-blockers are limited by cost, oversimplifying assumptions about cardiac motion, and populations showing contraindications to drugs, respectively. This work introduces an inexpensive algorithmic solution that retrospectively improves the temporal resolution of coronary CTA without significantly affecting spatial resolution. Methods: Given the goal of ruling out coronary stenosis, the method focuses on 'deblurring' the coronary arteries. The approach makes no assumptions about cardiac motion, can be used on exams acquired at high heart rates (even over 75 beats/min), and draws on a fast and accurate three-dimensional (3D) nonrigid bidirectional labeled point matching approach to estimate the trajectories of the coronary arteries during image acquisition. Motion compensation is achieved by employing a 3D warping of a series of partial reconstructions based on the estimated motion fields. Each of these partial reconstructions is created from data acquired over a short time interval. For brevity, the algorithm 'Subphasic Warp and Add' (SWA) reconstruction. Results: The performance of the new motion estimation-compensation approach was evaluated by a systematic observer study conducted using nine human cardiac CTA exams acquired over a range of average heart rates between 68 and 86 beats/min. Algorithm performance was based-lined against exams reconstructed using standard filtered-backprojection (FBP). The study was performed by three experienced reviewers using the American Heart Association's 15-segment model. All vessel segments were evaluated to quantify their viability to allow a clinical diagnosis before and after motion estimation-compensation using SWA. To the best of the authors' knowledge this is the first such observer study to show that an image processing-based software approach can improve the clinical diagnostic value of CTA for coronary artery evaluation. Conclusions: Results from the observer study show that the SWA method described here can dramatically reduce coronary artery motion and preserve real pathology, without affecting spatial resolution. In particular, the method successfully mitigated motion artifacts in 75% of all initially nondiagnostic coronary artery segments, and in over 45% of the cases this improvement was enough to make a previously nondiagnostic vessel segment clinically diagnostic.

Bhagalia, Roshni; Pack, Jed D.; Miller, James V.; Iatrou, Maria [GE Global Research, Niskayuna, New York 12309 (United States); GE Healthcare, Hoboken, New Jersey 07030 (United States)

2012-07-15T23:59:59.000Z

451

RSG Deployment Case Testing Results  

SciTech Connect (OSTI)

The RSG deployment case design is centered on taking the RSG system and producing a transport case that houses the RSG in a safe and controlled manner for transport. The transport case was driven by two conflicting constraints, first that the case be as light as possible, and second that it meet a stringent list of Military Specified requirements. The design team worked to extract every bit of weight from the design while striving to meet the rigorous Mil-Spec constraints. In the end compromises were made primarily on the specification side to control the overall weight of the transport case. This report outlines the case testing results.

Owsley, Stanley L.; Dodson, Michael G.; Hatchell, Brian K.; Seim, Thomas A.; Alexander, David L.; Hawthorne, Woodrow T.

2005-09-01T23:59:59.000Z

452

Case No. VBH-0036  

Broader source: Energy.gov (indexed) [DOE]

6 6 September 23, 1999 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Complainant: XXXXXXX Date of Filing: August 24, 1999 Case Number: VBH-0036 XXXXXXX (the complainant) filed a complaint against his employer, Fluor Daniel, Inc. (FDI), and two other DOE contractors, Duke Engineering & Services (DE&S) and TRW Environmental Safety Systems (TRW), pursuant to the DOE's Contractor Employee Protection Program, 10 C.F.R. Part 708. In that complaint, the complainant alleges that he suffered reprisals because he had made a disclosure that is protected by Part 708. I. Background The Contractor Employee Protection Program was established to encourage contractor employees to

453

Use CaseUse Case Document IntroductionIntroduction  

E-Print Network [OSTI]

Use CaseUse Case Document IntroductionIntroduction This document contains a collection of use cases Controls 4. User Accounts 5. On-line Communication 6. Friends 7. Sharing Compositions 8. Track Generation 9. Track Display 10.Master Track 11.Chord Track 12.Note Track 13.Beat Track 14.Audio Track 15.Composition

Pfahringer, Bernhard

454

CPUTCPUT CCombinatorialombinatorial--BasedBased  

E-Print Network [OSTI]

to Create and manage regression test suites Create and manage regression test suites Designed for web applications Logs usage data and converts to test cases Prioritizes test cases and creates test dorders Test cases can then be replayed and used to test web systems Verify/ATI 2011 2Sreedevi Sampath, UMBC #12

Sampath, Sreedevi

455

Lyapunov-Based Distributed Control of the Safety Factor Profile in a Tokamak Plasma  

E-Print Network [OSTI]

Lyapunov-Based Distributed Control of the Safety Factor Profile in a Tokamak Plasma Federico safety-factor profile in a tokamak plasma. Using relevant physical models and simplifying assumptions within a tokamak plasma is a key issue to achieve (and maintain) in a safe manner high

Boyer, Edmond

456

The Climatology and Characteristics of Rossby Wave Packets Using a Feature-Based Tracking Technique  

Science Journals Connector (OSTI)

This paper describes an objective, track-based climatology of Rossby wave packets (RWPs). NCEPNCAR reanalysis wind and geopotential height data at 300 hPa every 6 h were spectrally filtered using a Hilbert transform technique under the assumption ...

Matthew B. Souders; Brian A. Colle; Edmund K. M. Chang

2014-10-01T23:59:59.000Z

457

Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random Process  

E-Print Network [OSTI]

Quantitative Model of Price Diffusion and Market Friction Based on Trading as a Mechanistic Random 2002; published 13 March 2003) We model trading and price formation in a market under the assumption for the most basic properties of markets, such as the diffusion rate of prices (which is the standard measure

458

An Economic Evaluation of a Water-Based Urban Tourist Attraction in San Antonio, Texas  

E-Print Network [OSTI]

as it affects tourism and recreation in the central city. Based on the assumption that the economic effects of the developed river area arise from the expenditures of the users, and that beneficiaries are the businesses surrounding the area, three surveys have...

Trock, W. L.; Lacewell, R. D.

459

Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices  

E-Print Network [OSTI]

Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices R. Shioda L. Tun for pricing a product line with several customer segments under the assumption that customers' product choices utility model and formulate it as a mixed-integer programming problem, design heuristics and valid cuts

Tunçel, Levent

460

Whistleblower Cases | Department of Energy  

Energy Savers [EERE]

Whistleblower Cases Whistleblower Cases RSS November 3, 2014 WBU-14-0011 - In the Matter of Dr. Paul M. Cole, Ph.D On November 3, 2014, the Office of Hearings and Appeals (OHA)...

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


461

The Pecan Case-Bearer.  

E-Print Network [OSTI]

1001-1109-lorn TEXAS AGRICULTURAL EXPERIMENT STATION. BULLETIN NO. 124. October, 1909. The Pecan Case-Bearer. BY GLENN W. HERRICK. E'ig. 1.-Case with larva partly exposed. Enlarged (original). POSTOFFICE : COLLEGE STATION, BRAZOS COUNTY...1001-1109-lorn TEXAS AGRICULTURAL EXPERIMENT STATION. BULLETIN NO. 124. October, 1909. The Pecan Case-Bearer. BY GLENN W. HERRICK. E'ig. 1.-Case with larva partly exposed. Enlarged (original). POSTOFFICE : COLLEGE STATION, BRAZOS COUNTY...

Herrick, Glenn W. (Glenn Washington)

1909-01-01T23:59:59.000Z

462

Case Western Reserve University's Institute for Advanced Materials | Open  

Open Energy Info (EERE)

Reserve University's Institute for Advanced Materials Reserve University's Institute for Advanced Materials Jump to: navigation, search Name The Institute for Advanced Materials at Case Western Reserve University Address 2061 Cornell Rd Place Cleveland, Ohio Zip 44106-3808 Website http://case.edu/advancedmateri References The Institute for Advanced Materials at Case Western Reserve University [1] LinkedIn Connections This article is a stub. You can help OpenEI by expanding it. Case Western Reserve University's Institute for Advanced Materials is a research institution based in Cleveland, Ohio. References ↑ "The Institute for Advanced Materials at Case Western Reserve University" Retrieved from "http://en.openei.org/w/index.php?title=Case_Western_Reserve_University%27s_Institute_for_Advanced_Materials&oldid=367381"

463

Case No. VWA-0037  

Broader source: Energy.gov (indexed) [DOE]

7 7 September 27, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner: Ann Johndro-Collins Date of Filing: April 27, 1999 Case Number: VWA-0037 This Decision considers a complaint of retaliation and request for relief filed by Ann Johndro-Collins (the Complainant) under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. The Complainant alleged that her employer, Fluor Daniel Hanford (FDH), retaliated against her for making a protected disclosure as defined in the Part 708 regulations. As explained below, I have concluded that the Complainant's request for relief should be denied. BACKGROUND Procedural Background The Complainant filed a complaint with the DOE's Office of Inspections, Office of the Inspector General,

464

Item Subject FAR Case  

Broader source: Energy.gov (indexed) [DOE]

Federal Acquisition Circular (FAC) 2005-53 Item Subject FAR Case I. Equal Opportunity for Veterans 2009-007 II. Unique Procurement Instrument Identifier 2009-023 III. Uniform Suspension and Debarment Requirement 2009-036 IV. Extension of Sunset Date for Protests of Task and 2011-015 Delivery Orders V. Encouraging Contractor Policies to Ban Text Messaging 2009-028 While Driving. VI. TINA Interest Calculations 2009-034 Item I--Equal Opportunity for Veterans (FAR 2009-007) The interim rule, published September 29, 2010, is adopted as final with minor changes. A definition from the clause at FAR 52.222-35 for ``executive and senior management'' is added to FAR subpart 22.13. The interim rule implemented Department of

465

Case No. VBH-0028  

Broader source: Energy.gov (indexed) [DOE]

8 8 April 7, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner: Dr. Jiunn S. Yu Date of Filing: July 2, 1999 Case Number: VBH-0028 This decision considers a Complaint filed by Dr. Jiunn S. Yu (Dr. Yu) against the Sandia Corporation (Sandia) under the Department of Energy's (DOE) Contractor Employee Protection Program, which is codified at 10 C.F.R. Part 708. I. Background The Department of Energy's Contractor Employee Protection Program was established to safeguard "public and employee health and safety; ensur[e] compliance with applicable laws, rules, and regulations; and prevent[] fraud, mismanagement, waste and abuse" at DOE's Government-owned or -leased facilities. 57 Fed. Reg. 7533 (March 3, 1992). Its primary purpose is to encourage contractor employees to disclose

466

Case No. VBA-0007  

Broader source: Energy.gov (indexed) [DOE]

7 7 December 15, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Appeal Name of Petitioner: Salvatore Gionfriddo Date of Filing: October 13, 1999 Case Number: VBA-0007 On October 13, 1999, Salvatore Gionfriddo ("Appellant" or "Complainant") filed a Notice of Appeal from an Initial Agency Decision by a Hearing Officer from the Office of Hearings and Appeals (OHA) of the Department of Energy (DOE). In the Initial Agency Decision, the Hearing Officer dismissed a complaint filed by Mr. Gionfriddo under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Salvatore Gionfriddo, 27 DOE ¶ 87,528 (1999). I. Background A. The DOE Contractor Employee Protection Program The DOE's Contractor Employee Protection Program was established to safeguard "public and employee

467

Case No. VBH-0056  

Broader source: Energy.gov (indexed) [DOE]

6 6 March 6, 2001 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner:Jean G. Rouse Date of Filing:November 7, 2000 Case Number: VBH-0056 This Initial Agency Decision concerns a whistleblower complaint filed by Jean G. Rouse (the Complainant) against her current employer, Westinghouse Savannah River Company (WSRC), under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. WSRC is the management and operating contractor at the DOE's Savannah River Site in Aiken, South Carolina. The Complainant alleges that in June 2000, WSRC changed her job classification in retaliation for her having filed a whistleblower complaint against the company in 1998. As discussed below, I have determined that

468

Case No. VWA-0017  

Broader source: Energy.gov (indexed) [DOE]

7 7 April 13, 1998 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner: Timothy E. Barton Date of Filing: June 27, 1994 Case Number: VWA-0017 This Decision involves a whistleblower complaint filed by Timothy E. Barton under the Department of Energy's (DOE) Contractor Employee Protection Program. From June to September 1994, Barton was employed as a Quality Assurance/Safety Manager by R.E. Schweitzer Construction Company (RESCC), which was awarded a contract by the Fernald Environmental Restoration Management Corporation (FERMCO) to perform construction work on the Vitrification Pilot Plant at the DOE's Fernald site. Barton alleges that RESCC retaliated against him by terminating his employment for taking certain actions and

469

Case No. VBU-0077  

Broader source: Energy.gov (indexed) [DOE]

77 77 October 25, 2001 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Decision of the Director Name of Petitioner: Ronald E. Timm Date of Filing: September 25, 2001 Case Number: VBU-0077 Ronald E. Timm (the Complainant), the President of RETA Security, a Department of Energy (DOE) subcontractor, appeals the dismissal of his whistleblower complaint filed under 10 C.F.R. Part 708, the DOE Contractor Employee Protection Program. On September 10, 2001, the Employee Concerns Program Manager at the DOE's Albuquerque Operations Office dismissed the Complainant's complaint for lack of jurisdiction. As explained below, I uphold the dismissal of the subject complaint. I. Background A. The DOE Contractor Employee Protection Program The regulations governing the DOE Contractor Employee Protection Program are set forth at 10 C.F.R.

470

Case No. VBH-0005  

Broader source: Energy.gov (indexed) [DOE]

5 5 May 2, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner: Thomas Dwyer Date of Filing: June 23, 1999 Case Number: VBH-0005 This Decision involves a whistleblower complaint filed by Thomas Dwyer under the Department of Energy's (DOE) Contractor Employee Protection Program. From January 1996 to October 1997, Mr. Dwyer was employed as a pipefitter by Fluor Daniel Fernald (FDF), a DOE contractor responsible for the cleanup of the Fernald Environmental Management Project, a former DOE uranium production facility located about 18 miles northwest of Cincinnati, Ohio. Mr. Dwyer alleges that FDF first suspended him and then terminated him in retaliation for taking certain actions and making health and safety disclosures.

471

Case No. VBZ-0003  

Broader source: Energy.gov (indexed) [DOE]

3 3 June 21, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion to Dismiss Name of Petitioner:Carl J. Blier Date of Filing:May 11, 1999 Case Number: VBZ-0003 This determination will consider a request to dismiss filed by Oak Ridge Associated Universities (ORAU) on May 11, 1999. ORAU seeks dismissal of the underlying complaint filed by Carl J. Blier under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708. This matter is before me as the investigator assigned to investigate Mr. Blier's complaint. I. Background Mr. Blier's Part 708 complaint arises from his employment with ORAU. In his complaint, Mr. Blier alleges that in April 1996 he became aware of possible irregularities regarding the approval of higher cost air-

472

Case No. VBH-0002  

Broader source: Energy.gov (indexed) [DOE]

2 2 November 2, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner:Don W. Beckwith Date of Filing:February 2, 1998 Case Number: VBH-0002 This Initial Agency Decision concerns a whistleblower complaint filed by Don W. Beckwith (the Complainant) against his former employer, Westinghouse Savannah River Company (WSRC), under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. At all times relevant to this proceeding, WSRC was the management and operating contractor at the DOE's Savannah River Site in Aiken, South Carolina. The Complainant alleges that in December 1997, he disclosed to WSRC that a WSRC management official had engaged in improper conduct. According to the Complainant, WSRC terminated him in January 1998 as a consequence of his disclosure. As discussed

473

Case No. VWA-0005  

Broader source: Energy.gov (indexed) [DOE]

05 05 * The original of this document contains information which is subject to withholding from disclosure under 5 U.S.C. 552. Such material has been deleted from this copy and replaced with XXXXX's. DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Names of Petitioners:Daniel L. Holsinger K-Ray Security, Inc. Date of Filing:December 6, 1995 Case Numbers: VWA-0005 VWA-0009 I. Introduction This Decision involves a complaint filed by Daniel L. Holsinger (Holsinger) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. In his complaint, Holsinger contends that certain reprisals were taken against him after he raised concerns relating to the possible theft of government property from the DOE's Morgantown Energy Technology Center (METC). These reprisals

474

Case No. VWA-0041  

Broader source: Energy.gov (indexed) [DOE]

1 1 July 11, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner: Lucy B. Smith Date of Filing: May 5, 1999 Case Number: VWA-0041 This Decision involves a whistleblower complaint filed by Lucy B. Smith (Smith) under the Department of Energy's (DOE) Contractor Employee Protection Program. From September 1973 to March 1997, Smith was employed as a chemist at the DOE's Savannah River Site (SRS) by various contractors, the most recent of which was Westinghouse Savannah River Company (WSRC). At the time of her termination, Smith worked at WSRC's Waste Management Laboratory. Smith alleges that in retaliation for making a number of health and safety disclosures WSRC terminated her pursuant to a January 1997 Reduction-in-

475

Case No. VWA-0021  

Broader source: Energy.gov (indexed) [DOE]

21 21 June 1, 1998 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner: Carlos M. Castillo Date of Filing: February 2, 1998 Case Number: VWA-0021 This Decision involves a complaint filed by Carlos M. Castillo (Castillo or "the complainant") under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Castillo is the former employee of a DOE contractor, Kiewit Construction Company (Kiewit), and alleges in his complaint that during that employment certain reprisals were taken against him by Kiewit as a result of his raising a concern related to safety. These alleged reprisals include the complainant's wrongful termination from employment and, after he had been rehired, being improperly selected for a company layoff. After a

476

Case No. VBA-0005  

Broader source: Energy.gov (indexed) [DOE]

5 5 July 24, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Appeal Name of Petitioner: Thomas Dwyer Date of Filing: May 23, 2000 Case Number: VBA-0005 This Decision considers an Appeal of an Initial Agency Decision (IAD) issued on May 2, 2000, involving a complaint filed by Thomas Dwyer (Dwyer or the complainant) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. In his complaint, Dwyer claims that Fluor Daniel Fernald (FDF), a DOE contractor, suspended and then terminated his employment in retaliation for his making disclosures that are protected under Part 708. In the IAD, however, the Hearing Officer determined that FDF had shown that it would have terminated the complainant for his misconduct, even in the absence of the protected disclosures. As set forth in this decision, I have determined that Dwyer's

477

Case No. VBH-0060  

Broader source: Energy.gov (indexed) [DOE]

60 60 November 1, 2001 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner:Robert Burd Date of Filing:March 27, 2001 Case Number: VBH-0060 This Decision addresses the complaint filed by Robert Burd (Complainant) against his former employer, Mason and Hangar Corporation (the employer), pursuant to the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Complainant alleges that the employer wrongfully terminated him for raising safety concerns. For the reasons set forth below, the complaint will be granted. I. Procedural History Complainant filed his Part 708 complaint on October 13, 2000 with the DOE Albuquerque Operations Office (DOE/AOO). At all times relevant to the complaint, the employer was the primary management and

478

Case No. VWA-0026  

Broader source: Energy.gov (indexed) [DOE]

6 6 February 17, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Hearing Officer Decision Name of Petitioner: Joseph Carson Date of Filing: October 26, 1998 Case Number: VWA-0026 This Decision involves the referral of a whistleblower matter involving Joseph Carson (Carson), a Department of Energy (DOE) employee. Pursuant to an order of an administrative judge of the United States Merit Systems Protection Board (http://www.mspb.gov) (MSPB) that implemented a settlement agreement between the DOE and Carson, Carson was permitted to submit documents to the Office of Hearings and Appeals regarding six instances of retaliation that he claims occurred because of certain protected disclosures that he made. The DOE was also permitted to submit documents at the same time.

479

Case No. VWA-0036  

Broader source: Energy.gov (indexed) [DOE]

6 6 November 8, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner: Robert Gardner Date of Filing: April 20, 1999 Case Number: VWA-0036 This Decision involves a complaint filed by Robert Gardner (Gardner or "Complainant") under the Department of Energy (DOE) Contractor Employee Protection Program, codified at 10 C.F.R. Part 708. Gardner is a former employee of a DOE contractor, Rust GeoTech (Rust). He alleges that certain reprisals were taken against him by Rust, including denial of a merit pay increase in 1996 and interference with his prospects for future employment in retaliation for his protected disclosures to DOE management and public officials. On the basis of the hearing that was conducted and the record before me, I have concluded

480

Case No. VBA-0044  

Broader source: Energy.gov (indexed) [DOE]

4 4 April 10, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Appeal Name of Petitioner: Rosie L. Beckham Date of Filing: December 28, 1999 Case Number: VBA-0044 This Decision considers an Appeal of an Initial Agency Decision issued on December 13, 1999, involving a complaint filed by Rosie L. Beckham filed against her former employer, KENROB and Associates, Inc. (KENROB) under the DOE's Contractor Employee Protection Program, 10 C.F.R. Part 708. Rosie L. Beckham, 27 DOE ¶ 87,543 (1999). In her complaint, Ms. Beckham alleges that KENROB, among other things, terminated her employment after she questioned the legality of the company's procurement practices. A Hearing Officer denied relief to Ms. Beckham, finding in the Initial Agency Decision that she had failed to make any disclosures protected under the Part 708 regulations. As set forth in this Decision, I

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


481

Case No. VBA-0032  

Broader source: Energy.gov (indexed) [DOE]

2 2 November 26, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Appeal Name of Petitioner: Roger H. Hardwick Date of Filing: July 26, 1999 Case Number: VBA-0032 This Decision considers an Appeal of an Initial Agency Decision issued on July 6, 1999, on a complaint filed by Roger H. Hardwick (Hardwick or the complainant) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. In his complaint, Hardwick seeks compensation for alleged retaliatory actions taken against him by Science Applications International Corporation (SAIC), a DOE contractor, and by KenRob and Associates, Inc. (KenRob), his former employer under a subcontract with SAIC, as a result of making an alleged protected disclosure to DOE. In the Initial Agency Decision, however, the Hearing Officer determined that the complainant had failed to

482

Case No. VWA-0032  

Broader source: Energy.gov (indexed) [DOE]

2 2 July 6, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner: Roger W. Hardwick Date of Filing: March 8, 1999 Case Number: VWA-0032 This Decision involves a complaint of reprisal filed by Roger W. Hardwick (also referred to as the Complainant) under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Mr. Hardwick was employed by KenRob and Associates, Inc. and worked as a subcontractor on a contract that the DOE awarded to Science Applications International Corporation (SAIC). Mr. Hardwick contends that in January 1994, he made a protected disclosure to the DOE concerning the manner in which SAIC was performing its DOE contract. Hardwick states that he was terminated from the subcontract two weeks after the disclosure and that KenRob terminated his

483

Case No. VBH-0059  

Broader source: Energy.gov (indexed) [DOE]

9 9 December 21, 2001 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Hearing Officer Decision Name of Petitioner: Janet L. Westbrook Date of Filing: March 20, 2001 Case Number: VBH-0059 This Decision involves a complaint that Janet L. Westbrook (Westbrook) filed under the Department of Energy's Contractor Employee Protection Program against UT-Batelle, LLC, the contractor that manages the Oak Ridge National Laboratory (the Laboratory). That program is codified at Part 708 of Title 10 of the Code of Federal Regulations. 10 C.F.R. Part 708. In her complaint, Westbrook maintains that she was retaliated against and ultimately discharged for making a series of disclosures about radiation safety at the Laboratory. I. The DOE Contractor Employee Protection Program

484

Case No. VBA-0011  

Broader source: Energy.gov (indexed) [DOE]

1 1 July 28, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Appeal Names of Petitioner:Diane E. Meier Date of Filing:January 11, 2000 Case Number: VBA-0011 On January 11, 2000, Diane E. Meier (Meier) filed a Notice of Appeal from an Initial Agency Decision by a Hearing Officer from the Office of Hearings and Appeals (OHA) of the Department of Energy (DOE). The Decision denied the relief which Meier seeks in her complaint against Lawrence Livermore National Laboratory (LLNL) under the DOE's Contractor Employee Protection Program, 10 C.F.R. Part 708. Diane E. Meier, 27 DOE ¶ 87,545 (1999) (Meier). In her Appeal, Meier challenges several aspects of the Initial Agency Decision and requests that her complaint be granted. As set forth in this decision, I have

485

Case No. VBA-0038  

Broader source: Energy.gov (indexed) [DOE]

8 8 March 28, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Appeal Name of Petitioner: Ann Johndro-Collins Date of Filing: October 29, 1999 Case Number: VBA-0038 This Decision considers an Appeal of an Initial Agency Decision issued on September 27, 1999, on a complaint filed by Ann Johndro-Collins (Johndro-Collins or the complainant) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. In her complaint, Johndro- Collins seeks compensation for alleged retaliatory actions taken against her by Fluor Daniel Hanford (FDH), a DOE contractor, as a result of making an alleged protected disclosure to DOE. As set forth in this decision, I have determined that Johndro-Collins's Appeal must be denied. I. Background A. The DOE Contractor Employee Protection Program

486

Case No. VBH-0014  

Broader source: Energy.gov (indexed) [DOE]

4 4 December 29, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner:Roy Leonard Moxley Date of Filing:November 7, 1996 Case Number: VBH-0014 This Initial Agency Decision concerns a whistleblower complaint filed by Roy Leonard Moxley against his employer, Westinghouse Savannah River Company (WSRC), under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. At all times relevant to this proceeding, WSRC was the management and operating contractor at the DOE's Savannah River Site in Aiken, South Carolina. Mr. Moxley alleges that during a period of at least two years, he made several disclosures to WSRC that its personnel practices were in violation of the Fair Labor Standards Act (FLSA). According

487

Case No. VWA-0031  

Broader source: Energy.gov (indexed) [DOE]

1 1 August 6, 1999 UNITED STATES OF AMERICA DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Petitioner: Barbara Nabb Date of Filing: February 25, 1999 Case Number: VWA-0031 I. Introduction This Decision involves a complaint filed by Mrs. Barbara Nabb under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. In her complaint, Mrs. Nabb contends that reprisals were taken against her after she made certain disclosures concerning possible health and safety violations and mismanagement at the Rocky Flats Environmental Technology Site (Rocky Flats). These reprisals allegedly were taken by EG&G Rocky Flats, Inc. (EG&G) and by Kaiser-Hill Company, LLC (Kaiser Hill). EG&G was the managing and operating contractor of Rocky Flats beginning in December

488

Case No. VWR-0003  

Broader source: Energy.gov (indexed) [DOE]

VWR-0003 VWR-0003 September 20, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motion for Reconsideration Name of Petitioner: Linda D. Gass Date of Filing: September 3, 1999 Case Number: VWR-0003 This decision will consider a "Motion to Revive Disclosures Dismissed Prior to the Enactment of Revisions to Part 708" Linda D. Gass filed on March 8, 1999. In her Motion, Ms. Gass requests that I reconsider an order issued on March 12, 1999, in which I dismissed in part her Complaint filed under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. Lockheed Martin Energy Systems, 27 DOE ¶ 87,510 (1999). I. Background The Department of Energy established its Contractor Employee Protection Program to safeguard "public

489

Case No. VBH-0042  

Broader source: Energy.gov (indexed) [DOE]

42 42 March 1, 2001 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Hearing Officer Decision Name of Petitioner: Richard R. Sena Date of Filing: February 24, 2000 Case Number: VBH-0042 This Decision involves a complaint filed by Richard R. Sena (Sena) against Sandia Corporation under the Department of Energy's Contractor Employee Protection Program. That program is codified at Part 708 of Title 10 of the Code of Federal Regulations. 10 C.F.R. Part 708. In his complaint, Sena maintains that he was retaliated against and ultimately constructively discharged for disclosing that laboratory personnel were using the Internet improperly at Sandia National Laboratories. I. The DOE Contractor Employee Protection Program The Department of Energy's Contractor Employee Protection Program was established to safeguard

490

Case No. VBA-0041  

Broader source: Energy.gov (indexed) [DOE]

1 1 March 13, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Appeal Name of Petitioner: John L. Gretencord Date of Filing: November 26, 1999 Case Number: VBA-0041 This Decision considers an Appeal of an Initial Agency Decision (IAD) issued on November 4, 1999, involving a complaint filed by John L. Gretencord (Gretencord or the complainant) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. In his complaint, Gretencord claims that West Valley Nuclear Services, Inc.(West Valley), a DOE contractor, terminated his employment in retaliation for his making disclosures that are protected under Part 708. In the IAD, however, the Hearing Officer determined that West Valley had shown that it would have terminated the

491

Case No. VBH-0015  

Broader source: Energy.gov (indexed) [DOE]

5 5 December 1, 1999 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Petitioner: Morris J. Osborne Date of Filing: June 28, 1999 Case Number: VBH-0015 This Decision involves a complaint filed by Mr. Morris J. Osborne (hereinafter the complainant) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. The complainant contends that reprisals were taken against him after he made disclosures concerning the lack of electrical inspections at the Idaho National Engineering and Environmental Lab (INEEL). These alleged reprisals were taken by Lockheed Martin Idaho Technologies Company (Lockheed). Lockheed was the managing and operating contractor of INEEL through September 30, 1999. Bechtel assumed Lockheed's

492

Case No. VWA-0014  

Broader source: Energy.gov (indexed) [DOE]

4 4 February 5, 1997 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner:Charles Barry DeLoach Date of Filing:November 1, 1996 Case Number: VWA-0014 This Decision involves a whistleblower complaint filed by Charles Barry DeLoach (DeLoach) under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. For a four year period, DeLoach was employed by Westinghouse Savannah River Company (WSRC), a DOE management and operating contractor, at DOE's Savannah River site (Savannah River). DeLoach alleges that during his tenure at WSRC, he made disclosures regarding health and safety issues to various supervisors or managers at Savannah River. On March 19, 1993, DeLoach was fired after an investigation

493

The flying radiation case  

SciTech Connect (OSTI)

The Los Alamos foil implosion program has the goal of producing an intense, high-energy density x-ray source by converting the energy of a magnetically imploded plasma into radiation and material energy. One of the methods for converting the plasma energy into thermal energy and radiation and utilizing it for experiments is called the flying radiation case (FRC). In this paper the authors shall model the FRC and provide a physical description of the processes involved. An analytic model of a planar FRC in the hydrodynamic approximation is used to describe the assembly and shock heating of a central cushion by a conducting liner driver. The results are also used to benchmark a hydrodynamics code for modeling an FRC. They then use a radiation-hydrodynamics computational model to explore the effects of radiation production and transport when a gold plasma assembles on a CH cushion. Results are presented for the structure and evolution of the radiation hohlraum.

Brownell, J.H.; Bowers, R.L. [Los Alamos National Lab., NM (United States). Applied Theoretical and Computational Physics Div.

1997-04-01T23:59:59.000Z

494

Case No. VWA-0033  

Broader source: Energy.gov (indexed) [DOE]

3 3 November 4, 1999 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioners:Gretencord v. West Valley Nuclear Services Co., Inc. Date of Filing: March 19, 1999 Case Number: VWA-0033 This decision considers a Complaint filed by John L. Gretencord (Gretencord) against West Valley Nuclear Services, Inc. (West Valley) under the Department of Energy's (DOE) Contractor Employee Protection Program, which is codified at 10 C.F.R. Part 708. Mr. Gretencord requested a hearing on his Complaint under 10 C.F.R. Part 708 on March 19, 1999. I. Background The Department of Energy established its Contractor Employee Protection Program to safeguard "public and employee health and safety; ensur[e] compliance with applicable laws, rules, and regulations; and

495

Case No. VBH-0010  

Broader source: Energy.gov (indexed) [DOE]

0 0 September 1, 2000 DEPARTMENT OF ENERGY OFFICE OF HEARINGS AND APPEALS Initial Agency Decision Name of Petitioner: Jagdish C. Laul Date of Filing: December 3, 1999 Case Number: VBH-0010 This Decision involves a complaint filed by Dr. Jagdish C. Laul (hereinafter the complainant) under the Department of Energy (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. The complainant contends that his dismissal by his employer, Excalibur Associates, Inc. (Excalibur) was a reprisal for his participation in a prior Part 708 proceeding. Excalibur is a subcontractor of Kaiser Hill Company (Kaiser) who is the managing and operating contractor of DOE's Rocky Flats Field Office (Rocky Flats). I. The DOE Contractor Employee Protection Program A. Regulatory Background

496

Case No. VWA-0018  

Broader source: Energy.gov (indexed) [DOE]

8 8 May 21, 1998 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner:Thomas T. Tiller Date of Filing:November 17, 1997 Case Number: VWA-0018 This Decision concerns two whistleblower complaints filed by Thomas T. Tiller (Tiller) under the Department of Energy's (DOE) Contractor Employee Protection Program, 10 C.F.R. Part 708. At all times relevant to this proceeding, Tiller was employed by Wackenhut Services, Incorporated (Wackenhut), a DOE contractor that provides paramilitary security support services at the DOE's Savannah River Site in Aiken, South Carolina. Tiller contends in his first complaint that Wackenhut demoted him after he alleged that a senior level manager at Wackenhut had engaged in unethical and possible criminal conduct. In his

497

Case No. VBH-0024  

Broader source: Energy.gov (indexed) [DOE]

4 4 March 1, 2000 DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Initial Agency Decision Name of Petitioner: Matthew J. Rooks Date of Filing: July 6, 1999 Case Number: VBH-0024 This Initial Agency Decision considers a complaint filed by Matthew J. Rooks under the whistleblower protection program of the Department of Energy, 10 C.F.R. Part 708. As explained below, Rooks' complaint is denied. Background Rooks filed this complaint under the Part 708 regulations on November 17, 1998, and the Department's Office of the Inspector General began an investigation. While the investigation was pending, responsibility for conducting investigations of Part 708 complaints was transferred to the Office of Hearings and Appeals (OHA). 64 Fed. Reg. 12826 (March 15, 1999). The OHA issued a Report of Investigation on July 6, 1999. The Report, which I will discuss further below,

498