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Note: This page contains sample records for the topic "vehicle choice 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

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle...  

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

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle Technologies Program (VTP) (Fact Sheet) Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle...

2

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...

3

Consumer Vehicle Choice Model Documentation  

SciTech Connect (OSTI)

In response to the Fuel Economy and Greenhouse Gas (GHG) emissions standards, automobile manufacturers will need to adopt new technologies to improve the fuel economy of their vehicles and to reduce the overall GHG emissions of their fleets. The U.S. Environmental Protection Agency (EPA) has developed the Optimization Model for reducing GHGs from Automobiles (OMEGA) to estimate the costs and benefits of meeting GHG emission standards through different technology packages. However, the model does not simulate the impact that increased technology costs will have on vehicle sales or on consumer surplus. As the model documentation states, “While OMEGA incorporates functions which generally minimize the cost of meeting a specified carbon dioxide (CO2) target, it is not an economic simulation model which adjusts vehicle sales in response to the cost of the technology added to each vehicle.” Changes in the mix of vehicles sold, caused by the costs and benefits of added fuel economy technologies, could make it easier or more difficult for manufacturers to meet fuel economy and emissions standards, and impacts on consumer surplus could raise the costs or augment the benefits of the standards. Because the OMEGA model does not presently estimate such impacts, the EPA is investigating the feasibility of developing an adjunct to the OMEGA model to make such estimates. This project is an effort to develop and test a candidate model. The project statement of work spells out the key functional requirements for the new model.

Liu, Changzheng [ORNL] [ORNL; Greene, David L [ORNL] [ORNL

2012-08-01T23:59:59.000Z

4

EIA-DOE Vehicle Choice and Markets Technical Workshop  

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

DOE Vehicle Choice and Markets Technical Workshop 1 DOE Vehicle Choice and Markets Technical Workshop 1 January 2013 EIA-DOE Vehicle Choice and Markets Technical Workshop Meeting Summary The Department of Energy (DOE) and Energy Information Administration (EIA) held a workshop on January 25th, 2013 in Detroit, MI with marketing and automotive industry experts to discuss and better understand consumer acceptance of hybrid, plug-in hybrid, and battery electric vehicles. The workshop focused on recent survey analyses, market representation, state of the art modeling, and comparisons of projected model results. This event provided a rare and insightful opportunity to compare and contrast our understanding and representation of vehicle markets and vehicle choice modeling with our nation's automotive leaders to assure that EIA's future projections and policy

5

Vehicle Technologies Office Merit Review 2014: ParaChoice: Parametric Vehicle Choice Modeling  

Broader source: Energy.gov [DOE]

Presentation given by Sandia National Laboratories at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about parametric...

6

An Empirical Study of Alternative Fuel Vehicle Choice by Commercial Fleets: Lessons in Transportation Choices, and Public Agencies' Organization  

E-Print Network [OSTI]

1990). “The Economics of Alternative Fuel Use: SubstitutingAn Empirical Study of Alternative Fuel Vehicle Choice byFleet Demand for Alternative-Fuel Vehicles,” with T. Golob,

Crane, Soheila Soltani

1996-01-01T23:59:59.000Z

7

TAFV Alternative Fuels and Vehicles Choice Model Documentation  

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

34 34 ORNL/TM-2001/134 TAFV Alternative Fuels and TAFV Alternative Fuels and Vehicles Choice Model Vehicles Choice Model Documentation Documentation July 2001 David L. Greene David L. Greene Corporate Fellow Corporate Fellow DOCUMENT AVAILABILITY Reports produced after January 1, 1996, are generally available free via the U.S. Department of Energy (DOE) Information Bridge: Web site: http://www.osti.gov/bridge Reports produced before January 1, 1996, may be purchased by members of the public from the following source: National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 Telephone: 703-605-6000 (1-800-553-6847) TDD: 703-487-4639 Fax: 703-605-6900 E-mail: info@ntis.fedworld.gov Web site: http://www.ntis.gov/support/ordernowabout.htm Reports are available to DOE employees, DOE contractors, Energy Technology Data Exchange

8

Determinants of alternative fuel vehicle choice in the continental United States.  

SciTech Connect (OSTI)

This paper describes the ongoing investigation into the determinants of alternative fuel vehicle choice. A stated preference vehicle choice survey was conducted for the 47 of the continental U.S. states, excluding California. The national survey is based on and is an extension of previous studies on alternative fuel vehicle choice for the State of California conducted by the University of California's Institute of Transportation Studies (UC ITS). Researchers at UC ITS have used the stated-preference national survey to produce a series of estimates for new vehicle choice models. Three of these models are presented in this paper. The first two of the models were estimated using only the data from the national survey. The third model presented in this paper pools information from the national and California surveys to estimate a true national model for new vehicle choice.

Tompkins, M.

1997-12-18T23:59:59.000Z

9

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

SciTech Connect (OSTI)

This paper revises and extends EPRI report EA-3409, ''Household Appliance Choice: Revision of REEPS Behavioral Models.'' That paper reported the results of an econometric study of major appliance choice in new residential construction. Errors appeared in two tables of that report. We offer revised versions of those tables, and a brief analysis of the consequences and significance of the errors. The present paper also proposes several possible extensions and re-specifications of the models examined by EPRI. Some of these are judged to be highly successful; they both satisfy economic intuition more completely than the original specification and produce a better quality fit to the dependent variable. We feel that inclusion of these modifications produces a more useful set of coefficients for economic modeling than the original specification. This paper focuses on EPRI's models of residential space heating technology choice. That choice was modeled as a nested logit structure, with consumers choosing whether to have central air conditioning or not, and, given that choice, what kind of space heating system to have. The model included five space heating alternatives with central cooling (gas, oil, and electric forced-air; heat pumps; and electric baseboard) and eight alternatives without it (gas, oil, and electric forced-air; gas and oil boilers and non-central systems; and electric baseboard heat). The structure of the nested logit model is shown in Figure 1.

Wood, D.J.; Ruderman, H.; McMahon, J. E.

1989-05-01T23:59:59.000Z

10

Vehicle type choice under the influence of a tax reform and rising fuel prices  

Science Journals Connector (OSTI)

Abstract Differentiated vehicle taxes are considered by many a useful tool for promoting environmentally friendly vehicles. Various structures have been implemented in several countries, e.g. Ireland, France, The Czech Republic, and Denmark. In many countries the tax reforms have been followed by a steep change in new vehicle purchases toward more diesel vehicles and more fuel-efficient vehicles. The paper analyses to what extent a vehicle tax reform similar to the Danish 2007 reform may explain changes in purchasing behaviour. The paper investigates the effects of a tax reform, fuel price changes, and technological development on vehicle type choice using a mixed logit model. The model allows a simulation of the effect of car price changes that resemble those induced by the tax reform. This effect is compared to the effects of fuel price changes and technology improvements. The simulations show that the effect of the tax reform on fuel efficiency is similar to the effect of rising fuel prices while the effect of technological development is much larger. The conclusion is that while the tax reform appeared in the same year as a large increase in fuel efficiency, it seems likely that it only explains a small part of the shift in fuel efficiency that occurred and that the main driver was the technological development.

Stefan L. Mabit

2014-01-01T23:59:59.000Z

11

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle Technologies Program (VTP) (Fact Sheet)  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

an FFV? an FFV? An FFV, as its name implies, has the flex- ibility of running on more than one type of fuel. FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Like conventional gasoline vehicles, FFVs have a single fuel tank, fuel system, and engine. And they are available in a wide range of models such as sedans, pickups, and minivans. Light-duty FFVs are designed to operate with at least 15% gasoline in the fuel, mainly to ensure they start in cold weather. FFVs are equipped with modified components designed specifically to be compatible with ethanol's chemical properties. In the illustration on the back, the main modifications for FFVs are

12

Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany  

Science Journals Connector (OSTI)

With respect to the German goal of a transition to a lead market for electromobility within a short time period, this paper empirically examines the preferences for alternative energy sources or propulsion technologies in vehicles and particularly for electric vehicles. The data stem from a stated preference discrete choice experiment with 598 potential German car buyers. In order to simulate a realistic future purchase situation, seven vehicle types were incorporated in each of the six choice sets, i.e. hybrid, gas, biofuel, hydrogen, and electric vehicles besides common gasoline and diesel vehicles. The econometric analysis with flexible multinomial probit models reveals that potential car buyers in Germany currently have a low stated preference for electric, hydrogen, and hybrid vehicles. While our paper also discusses the impact of common vehicle attributes such as purchase price or service station availability, it particularly considers the effect of socio-demographic and environmental awareness variables. The estimation results reveal that younger potential car buyers have a higher stated preference for hydrogen and electric vehicles, males have a higher stated choice of hydrogen vehicles, and environmentally aware potential car buyers have a higher stated preference for hydrogen and electric vehicles. These results suggest that common policy instruments such as the promotion of research and development, taxation, or subsidization in the field of electromobility could be supplemented by strategies to increase the social acceptance of alternative vehicle types that are directly oriented to these population groups. Methodologically, our study highlights the importance of the inclusion of taste persistence across the choice sets and a high number of random draws in the Geweke–Hajivassiliou–Keane simulator in the simulated maximum likelihood estimation of the multinomial probit models.

Andreas Ziegler

2012-01-01T23:59:59.000Z

13

A Transaction Choice Model for Forecasting Demand for Alternative-Fuel Vehicles  

E-Print Network [OSTI]

Forecasting Demand Alternative-Fuel Vehicles for DavldNG DEMANDFOR ALTERNATIVE-FUEL VEHICLES DavidBrownstone,interested in promoting alternative-fuel vehicles. Tl’us is

Brownstone, David; Bunch, David S.; Golob, Thomas F.; Ren, Weiping

1996-01-01T23:59:59.000Z

14

A Transactions Choice Model for Forecasting Demand for Alternative-Fuel Vehicles  

E-Print Network [OSTI]

Forecasting Demand Alternative-Fuel Vehicles for DavldNG DEMANDFOR ALTERNATIVE-FUEL VEHICLES DavidBrownstone,interested in promoting alternative-fuel vehicles. Tl’us is

Brownstone, David; Bunch, David S; Golob, Thomas F; Ren, Weiping

1996-01-01T23:59:59.000Z

15

New Vehicle Choice, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and the Gasoline Tax  

E-Print Network [OSTI]

D. (1985), 'The market share of diesel cars in the USA,diesel passenger cars. Models exploring automotive demand have been aggregate, predicting vehicle market

Martin, Elliott William

2009-01-01T23:59:59.000Z

16

New Vehicle Choices, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and Gasoline Tax  

E-Print Network [OSTI]

D. (1985), 'The market share of diesel cars in the USA,diesel passenger cars. Models exploring automotive demand have been aggregate, predicting vehicle market

Martin, Elliot William

2009-01-01T23:59:59.000Z

17

Vehicle Technologies Office Merit Review 2014: Consumer-Segmented Vehicle Choice Modeling: the MA3T Model  

Broader source: Energy.gov [DOE]

Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about consumer...

18

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

19

A joint model for vehicle type and fuel type choice: evidence from a cross-nested logit study  

Science Journals Connector (OSTI)

Growing environmental concerns and oil price volatility have led to increasing interest in the potential demand for alternative fuel vehicles. Dedicated fuel vehicles such as EV and CNG vehicles use only the alte...

Stephane Hess; Mark Fowler; Thomas Adler; Aniss Bahreinian

2012-05-01T23:59:59.000Z

20

Fuel and Vehicle Technology Choices for Passenger Vehicles in Achieving Stringent CO2 Targets: Connections between Transportation and Other Energy Sectors  

Science Journals Connector (OSTI)

Five fuel options (petroleum, natural gas, synthetic fuels (coal to liquid, CTL; gas to liquid, GTL; biomass to liquid, BTL), electricity, and hydrogen) and five vehicle technologies (ICEV, HEV, BEV, PHEV, and FCV) were considered. ... Petro ICEV, Synth ICEV, NG ICEV, H2 ICEV = internal combustion engine vehicle fueled either by petroleum, synthetic fuel (CTL, GTL, or BTL), natural gas, or gaseous hydrogen; HEV = hybrid electric vehicle; BEV = battery electric vehicle, PHEV = plug-in hybrid electric vehicle; Petro FCV, Synth FCV, H2 FCV = fuel-cell vehicle fueled either by petroleum, synthetic fuel, or gaseous hydrogen. ... In their CO2 reduction scenario (reduction from 1990 of 50% by 2050 and 75% by 2100), the car sector is dominated by gasoline/diesel (first in ICEVs, then HEVs and to a small extent also PHEVs) with hydrogen-fueled FCVs becoming dominant by 2100. ...

M. Grahn; C. Azar; M. I. Williander; J. E. Anderson; S. A. Mueller; T. J. Wallington

2009-03-26T23:59:59.000Z

Note: This page contains sample records for the topic "vehicle choice 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

Vehicle Technologies Office Merit Review 2014: Alternative Fuel Market Development Program- Forwarding Wisconsin’s Fuel Choice  

Broader source: Energy.gov [DOE]

Presentation given by Wisconsin Department of Administration at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about...

22

Fact #814: January 27, 2014 More Choices when Buying Vehicles that Use Advanced Technology and Alternative Fuels  

Broader source: Energy.gov [DOE]

The number of models and types of alternative fuel vehicles produced by manufacturers has varied considerably over the last 22 years. In 1991, there were a total of 19 models available that did not...

23

Combining stated and revealed choice research to simulate the neighbor effect: The case of hybrid-electric vehicles  

E-Print Network [OSTI]

ciency (FE) d (L/100 km) Fuel price (FP) d (CAN $ per liter)vehicle, and the relative fuel price. For example, if thefuel ef?ciency at a 150% fuel price, the presented attribute

Axsen, Jonn; Mountain, Dean C.; Jaccard, Mark

2009-01-01T23:59:59.000Z

24

Analyzing the Sensitivity of Hydrogen Vehicle Sales to Consumers' Preferences  

SciTech Connect (OSTI)

The success of hydrogen vehicles will depend on consumer behavior as well as technology, energy prices and public policy. This study examines the sensitivity of the future market shares of hydrogen-powered vehicles to alternative assumptions about consumers preferences. The Market Acceptance of Advanced Automotive Technologies model was used to project future market shares. The model has 1,458 market segments, differentiated by travel behavior, geography, and tolerance to risk, among other factors, and it estimates market shares for twenty advanced power-train technologies. The market potential of hydrogen vehicles is most sensitive to the improvement of drive train technology, especially cost reduction. The long-run market success of hydrogen vehicles is less sensitive to the price elasticity of vehicle choice, how consumers evaluate future fuel costs, the importance of fuel availability and limited driving range. The importance of these factors will likely be greater in the early years following initial commercialization of hydrogen vehicles.

Greene, David L [ORNL] [ORNL; Lin, Zhenhong [ORNL] [ORNL; Dong, Jing [Iowa State University] [Iowa State University

2013-01-01T23:59:59.000Z

25

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

26

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

27

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

28

Refueling Availability for Alternative Fuel Vehicle Markets: Sufficient Urban Station Coverage  

E-Print Network [OSTI]

on the adoption of alternative fuel vehicles: the case ofProgress in Acquiring Alternative Fuel Vehicles and Reachingavailability to choice of alternative fuels and vehicles.

Melaina, Marc W; Bremson, Joel

2008-01-01T23:59:59.000Z

29

Vehicle Cost Calculator  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Annual GHG Emissions (lbs of CO2) Vehicle Cost Calculator See Assumptions and Methodology Back Next U.S. Department of Energy Energy Efficiency and Renewable Energy Get Widget Code...

30

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...

31

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.

32

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

33

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.

34

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.

35

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.

36

Social choice and merit goods  

Science Journals Connector (OSTI)

Existing formulations of merit good social preferences, which are usually thought to be non-individualistic, are shown to be implied by three assumptions taken from the Arrowian social choice theoretic framework. Thus an individualistic foundation is provided for merit goods.

Nick Baigent

1981-01-01T23:59:59.000Z

37

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

38

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

39

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

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

Electric Drive Vehicle Demonstration and Vehicle Infrastructure Evaluation Electric Drive Vehicle Demonstration and Vehicle Infrastructure Evaluation 2010 DOE Vehicle Technologies...

40

The Impact of Residential Density on Vehicle Usage and Energy Consumption  

E-Print Network [OSTI]

Residential Density on Vehicle Usage and Energy ConsumptionType Choice, and Fuel Usage Total annual residentialResidential Density on Vehicle Usage and Energy Consumption

Golob, Thomas F.; Brownstone, David

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicle choice 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

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice, Vehicle...  

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

An FFV, as its name implies, has the flex- ibility of running on more than one type of fuel. FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Like...

42

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

43

Smith Electric Vehicles: Advanced Vehicle Electrification + Transporta...  

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

Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector Electrification Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector...

44

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.

45

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.

46

Timeline for Customer Choices  

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

detail) 2008 - CONTRACT SIGNING * Core Purchase Obligation Choice (section 3 in body) o Load Following o Block (with or without Shaping Capacity) Choice of Monthly and Diurnal...

47

Choice modeling of relook tasks for UAV search missions  

E-Print Network [OSTI]

This paper addresses human decision-making in supervisory control of a team of unmanned vehicles performing search missions. Previous work has proposed the use of a two-alternative choice framework, in which operators ...

Bertuccelli, Luca F.

48

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.

49

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.

50

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

51

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

52

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

53

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

54

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

55

Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle...  

Energy Savers [EERE]

Maximizing Alternative Fuel Vehicle Efficiency Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency Besides their energy security and environmental benefits,...

56

Smith Electric Vehicles: Advanced Vehicle Electrification + Transporta...  

Energy Savers [EERE]

Confidential, 4222013 2013 DOE VEHICLE TECHNOLOGIES PROGRAM REVIEW PRESENTATION Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector Electrification...

57

Vehicle Technologies Office: Hybrid and Vehicle Systems  

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

Hybrid and Vehicle Hybrid and Vehicle Systems to someone by E-mail Share Vehicle Technologies Office: Hybrid and Vehicle Systems on Facebook Tweet about Vehicle Technologies Office: Hybrid and Vehicle Systems on Twitter Bookmark Vehicle Technologies Office: Hybrid and Vehicle Systems on Google Bookmark Vehicle Technologies Office: Hybrid and Vehicle Systems on Delicious Rank Vehicle Technologies Office: Hybrid and Vehicle Systems on Digg Find More places to share Vehicle Technologies Office: Hybrid and Vehicle Systems on AddThis.com... Just the Basics Hybrid & Vehicle Systems Modeling & Simulation Integration & Validation Benchmarking Parasitic Loss Reduction Propulsion Systems Advanced Vehicle Evaluations Energy Storage Advanced Power Electronics & Electrical Machines

58

Vehicle Technologies Office: 2009 Advanced Vehicle Technology...  

Office of Environmental Management (EM)

Vehicle Technologies Office: 2009 Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Vehicle...

59

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.

60

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

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


61

Assumptions to the Annual Energy Outlook  

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

62

Hybrid Vehicles: a Temporary Step J.J. CHANARON1  

E-Print Network [OSTI]

of full electric vehicles probably with hydrogen powered fuel cells. Such assumption is shared by several the diffusion of hybrid electric technology in vehicles. It is put into question whether the current strong electric components. It is found that most companies integrate hybrid electric vehicles in their technology

Paris-Sud XI, Université de

63

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.

64

Overview of Light-Duty Vehicle Studies  

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

Overview of Light-Duty Vehicle Studies Overview of Light-Duty Vehicle Studies Washington, DC Workshop Sponsored by EERE Transportation Cluster July 26, 2010 Energy Efficiency & Renewable Energy eere.energy.gov 2 * This workshop is intended to be a working meeting for analysts to discuss findings and assumptions because a number of key studies on light-duty vehicles (LDVs) and biofuels have been completed in the past 5 years and the insight gained from their findings would be valuable. * Outcomes: - common understanding of the effects of differing assumptions (today); - agreement on standard assumptions for future studies, where applicable (agreement on some assumptions today, follow-up discussions/meeting may be needed for others); - list of data/information gaps and needed research and studies (a

65

Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Electricity Electricity Printable Version Share this resource Send a link to Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle Emissions Data Sources and Assumptions to someone by E-mail Share Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle Emissions Data Sources and Assumptions on Facebook Tweet about Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle Emissions Data Sources and Assumptions on Twitter Bookmark Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle Emissions Data Sources and Assumptions on Google Bookmark Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle Emissions Data Sources and Assumptions on Delicious Rank Alternative Fuels Data Center: Hybrid and Plug-In Electric Vehicle Emissions Data Sources and Assumptions on Digg

66

Vehicle Technologies Office: Vehicle Technologies Office Recognizes  

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

Vehicle Technologies Vehicle Technologies Office Recognizes Outstanding Researchers to someone by E-mail Share Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Facebook Tweet about Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Twitter Bookmark Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Google Bookmark Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Delicious Rank Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on Digg Find More places to share Vehicle Technologies Office: Vehicle Technologies Office Recognizes Outstanding Researchers on AddThis.com...

67

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).

68

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 EnergyÂ’s Office of Policy and International Affairs, other DOE offices, and other government agencies.

69

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.

70

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

71

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

72

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

73

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

74

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

75

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.

76

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

77

Electric Vehicles  

ScienceCinema (OSTI)

Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

Ozpineci, Burak

2014-07-23T23:59:59.000Z

78

Electric Vehicles  

SciTech Connect (OSTI)

Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

Ozpineci, Burak

2014-05-02T23:59:59.000Z

79

Fact #833: August 11, 2014 Fuel Economy Rated Second Most Important Vehicle Attribute  

Broader source: Energy.gov [DOE]

A 2014 survey asked a sample of the U.S. population the question "Which one of the following attributes would be MOST important to you in your choice of your next vehicle?" The choices were fuel...

80

Fact #680: June 20, 2011 Fuel Economy is "Most Important" When Buying a Vehicle  

Broader source: Energy.gov [DOE]

A June 2011 survey asked the question "Which one of the following attributes would be MOST important to you in your choice of your next vehicle?" The choices were fuel economy, dependability, low...

Note: This page contains sample records for the topic "vehicle choice 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

Vehicle Technologies Office: 2008 Advanced Vehicle Technology...  

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

8 Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Vehicle Technologies Office: 2008 Advanced...

82

Richmond Electric Vehicle Initiative Electric Vehicle Readiness...  

Office of Environmental Management (EM)

MO) Vehicles Home About Vehicle Technologies Office Plug-in Electric Vehicles & Batteries Fuel Efficiency & Emissions Alternative Fuels Modeling, Testing, Data & Results Education...

83

Diesel Vehicles  

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

Vehicles Vehicles Audi A3 Diesel vehicles may be making a comeback. Diesel engines are more powerful and fuel-efficient than similar-sized gasoline engines (about 30-35% more fuel efficient). Plus, today's diesel vehicles are much improved over diesels of the past. Better Performance Improved fuel injection and electronic engine control technologies have Increased power Improved acceleration Increased efficiency New engine designs, along with noise- and vibration-damping technologies, have made them quieter and smoother. Cold-weather starting has been improved also. Cleaner Mercedes ML320 BlueTEC Today's diesels must meet the same emissions standards as gasoline vehicles. Advances in engine technologies, ultra-low sulfur diesel fuel, and improved exhaust treatment have made this possible.

84

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).

85

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).

86

New EPA Fuel Economy and Environment Label - Gasoline Vehicles  

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

Gasoline Vehicles Gasoline Vehicles Gasoline Vehicles Fuel Economy In addition to the MPG estimates displayed on previous labels, combined city/highway fuel use is also given in terms of gallons per 100 miles. New! Fuel Economy & Greenhouse Gas Rating Use this scale to compare vehicles based on tailpipe greenhouse gas emissions, which contribute to climate change. New! Smog Rating You can now compare vehicles based on tailpipe emissions of smog-forming air pollutants. New! Five-Year Fuel Savings This compares the five-year fuel cost of the vehicle to that of an average gasoline vehicle. The assumptions used to calculate these costs are listed at the bottom of the label. Annual Fuel Cost This cost is based on the combined city/highway MPG estimate and assumptions about driving and fuel prices listed at the bottom of the

87

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)

88

Vehicle Technologies Office: Key Activities in Vehicles  

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

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

89

VEHICLE SPECIFICATIONS  

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

Page 1 of 5 Page 1 of 5 VEHICLE SPECIFICATIONS 1 Vehicle Features Base Vehicle: 2011 Nissan Leaf VIN: JN1AZ0CP5BT000356 Class: Mid-size Seatbelt Positions: 5 Type: EV Motor Type: Three-Phase, Four-Pole Permanent Magnet AC Synchronous Max. Power/Torque: 80 kW/280 Nm Max. Motor Speed: 10,390 rpm Cooling: Active - Liquid cooled Battery Manufacturer: Automotive Energy Supply Corporation Type: Lithium-ion - Laminate type Cathode/Anode Material: LiMn 2 O 4 with LiNiO 2 /Graphite Pack Location: Under center of vehicle Number of Cells: 192 Cell Configuration: 2 parallel, 96 series Nominal Cell Voltage: 3.8 V Nominal System Voltage: 364.8 V Rated Pack Capacity: 66.2 Ah Rated Pack Energy: 24 kWh Max. Cell Charge Voltage 2 : 4.2 V Min. Cell Discharge Voltage 2 : 2.5 V

90

Operator Choice Modeling for Collaborative UAV Visual Search Tasks  

E-Print Network [OSTI]

Operator Choice Modeling for Collaborative UAV Visual Search Tasks Luca F. Bertuccelli Member, IEEE, and Mary L. Cummings Senior Member, IEEE Abstract--Unmanned Aerial Vehicles (UAVs) provide unprece- dented is expected to increase with envisaged future missions of one operator controlling mul- tiple UAVs

Cummings, Mary "Missy"

91

A Convex Optimization Approach for Computing Correlated Choice ...  

E-Print Network [OSTI]

Probit (MNP) model where the random utilities of the alternatives are chosen ... the SUTD-MIT International Design Center grant number IDG31300105 on ...... of such data includes choice of lake recreation sites in the state of Wisconsin .... preferences for alternative-fuel vehicles, Transportation Research B, 34 (2000), pp.

2014-01-03T23:59:59.000Z

92

Capital structure choices  

Science Journals Connector (OSTI)

Corporate finance theory provides a number of competing hypotheses for explaining the capital structure choice of firms. The major ones are the 'trade-off' theory, which hypothesises an optimal combination of debt and equity capital, and the 'pecking-order' theory, which suggests a ranking order between different types of capital making a firm's capital structure an aggregated result of successive financial decisions. Previous studies find evidence both supporting and contradicting the two theories. We examine the role and importance of different firm characteristics as well as to what extent managers in Swedish firms make capital structure choices in accordance with the theories and are affected by concepts like optimal capital structure, financial hierarchy, windows of opportunity, signalling, asymmetric information and flexibility. Our conclusion is that capital structure choices are built on a balancing notion suggesting a revised trade-off theory or alternatively an extended pecking order theory also incorporating agency costs and signalling.

Ted Lindblom; Gert Sandahl; Stefan Sjogren

2011-01-01T23:59:59.000Z

93

VEHICLE SPECIFICATIONS  

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

VEHICLE SPECIFICATIONS 1 Vehicle Features Base Vehicle: 2011 Chevrolet Volt VIN: 1G1RD6E48BUI00815 Class: Compact Seatbelt Positions: 4 Type 2 : Multi-Mode PHEV (EV, Series, and Power-split) Motor Type: 12-pole permanent magnet AC synchronous Max. Power/Torque: 111 kW/370 Nm Max. Motor Speed: 9500 rpm Cooling: Active - Liquid cooled Generator Type: 16-pole permanent magnet AC synchronous Max. Power/Torque: 55 kW/200 Nm Max. Generator Speed: 6000 rpm Cooling: Active - Liquid cooled Battery Manufacturer: LG Chem Type: Lithium-ion Cathode/Anode Material: LiMn 2 O 4 /Hard Carbon Number of Cells: 288 Cell Config.: 3 parallel, 96 series Nominal Cell Voltage: 3.7 V Nominal System Voltage: 355.2 V Rated Pack Capacity: 45 Ah Rated Pack Energy: 16 kWh Weight of Pack: 435 lb

94

Vehicle Technologies Office: Batteries  

Broader source: Energy.gov [DOE]

Improving the batteries for electric drive vehicles, including hybrid electric (HEV) and plug-in electric (PEV) vehicles, is key to improving vehicles' economic, social, and environmental...

95

Vehicles News  

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

news Office of Energy Efficiency & news Office of Energy Efficiency & Renewable Energy Forrestal Building 1000 Independence Avenue, SW Washington, DC 20585 en Energy Department Announces $45 Million to Advance Next-Generation Vehicle Technologies http://energy.gov/eere/articles/energy-department-announces-45-million-advance-next-generation Energy Department Announces $45 Million to Advance Next-Generation Vehicle Technologies

96

Fact #814: January 27, 2014 More Choices when Buying Vehicles...  

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

34 1 14 1 20 0 0 - 70 2011 72 1 16 2 29 0 0 - 120 2012 62 6 17 6 31 1 1 - 124 2013 84 11 20 15 38 6 1 - 175 Data Source: U.S. Department of Energy, Alternative Fuels Data Center...

97

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.

98

Advanced Vehicle Testing & Evaluation  

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

Provide benchmark data for advanced technology vehicles Develop lifecycle cost data for production vehicles utilizing advanced power trains Provide fleet...

99

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

100

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.

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


101

EIA - Assumptions to the Annual Energy Outlook 2009  

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

102

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

103

Advanced Vehicle Testing Activity (AVTA) - Vehicle Testing and...  

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

- Vehicle Testing and Demonstration Activities Advanced Vehicle Testing Activity (AVTA) - Vehicle Testing and Demonstration Activities 2009 DOE Hydrogen Program and Vehicle...

104

Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation  

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

Apps for Vehicles Apps for Vehicles Challenge Spurs Innovation in Vehicle Data to someone by E-mail Share Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Facebook Tweet about Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Twitter Bookmark Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Google Bookmark Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Delicious Rank Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on Digg Find More places to share Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation in Vehicle Data on AddThis.com... Apps for Vehicles Challenge Spurs Innovation in Vehicle Data

105

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

106

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

107

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

108

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

109

Experimental entanglement-assisted quantum delayed-choice experiment  

E-Print Network [OSTI]

The puzzling properties of quantum mechanics, wave-particle duality, entanglement and superposition, were dissected experimentally at past decades. However, hidden-variable (HV) models, based on three classical assumptions of wave-particle objectivity, determinism and independence, strive to explain or even defeat them. The development of quantum technologies enabled us to test experimentally the predictions of quantum mechanics and HV theories. Here, we report an experimental demonstration of an entanglement-assisted quantum delayed-choice scheme using a liquid nuclear magnetic resonance quantum information processor. This scheme we realized is based on the recently proposed scheme [Nat. Comms. 5:4997(2014)], which gave different results for quantum mechanics and HV theories. In our experiments, the intensities and the visibilities of the interference are in consistent the theoretical prediction of quantum mechanics. The results imply that a contradiction is appearing when all three assumptions of HV models are combined, though any two of the above assumptions are compatible with it.

Tao Xin; Hang Li; Bi-Xue Wang; Gui-Lu Long

2014-11-30T23:59:59.000Z

110

Fact #777: April 29, 2013 For the Second Year in a Row, Survey Respondents Consider Fuel Economy Most Important When Purchasing a Vehicle  

Broader source: Energy.gov [DOE]

A 2012 survey asked the question "Which one of the following attributes would be MOST important to you in your choice of your next vehicle?" The choices were fuel economy, dependability, low price,...

111

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

112

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

113

Residential fuel choice in the Pacific Northwest  

SciTech Connect (OSTI)

In 1983, the Northwest Power Planning Council (Council) issued Model Conservation Standards (MCS) designed to improve the efficiency of electrically heated buildings. Since then, the standards have been adopted by numerous local governments and utilities. The Bonneville Power Administration (Bonneville) has played an active role in marketing residential energy efficiency improvements through the Super Good Cents Program (SGCP) and encouraging the adoption and implementation of the MCS as local codes through the Early Adopter Program (EAP). Since the inception of the MCS, however, questions have arisen about the effect of the code and programs on the selection of heating fuels for new homes. Recently, Bonneville has proposed a gradual reduction in the incentive levels under these two programs prior to 1995 based on several assumptions about the market for MCS homes: builder costs will decline as builders gain experience building them; buyers will seek out MCS homes as their appreciation for their lower energy costs and greater comfort increases; and the resale market will increasingly reflect the greater quality of MCS homes. The growing availability of data from several jurisdictions where the MCS have been implemented has recently made it possible to begin assessing the effect of the MCS programs on residential fuel choice and evaluating assumptions underlying the programs and Bonneville's plans to revise them. This study is the first such assessment conducted for Bonneville.

Lee, A.D.; Englin, J.E.; Harkreader, S.A.

1989-02-01T23:59:59.000Z

114

Chevrolet Volt Vehicle Demonstration  

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

Volt Vehicle Demonstration Fleet Summary Report Reporting period: January 2013 through March 2013 Number of vehicles: 146 Number of vehicle days driven: 6,680 4292013 2:38:13 PM...

115

Vehicle suspension  

SciTech Connect (OSTI)

This patent describes a vehicle consisting of sprung and unsprung masses, the combination of struts and support springs for the weight of the sprung mass, an axis defined by pivots between sprung and unsprung masses, with a front pivot approximately midway between the wheels and near the vertical and horizontal planes through the front axles, with a rear pivot lying in an axis through the front pivot and in a plane through the center-of-gravity of the sprung mass, with the plane parallel to the centrifugal force vector through the center-of-gravity of the sprung mass, and with the rear pivot positioned approximately midway between the rear wheels, means for transmitting the centrifugal force component on the front pivot to the front wheels and ground, and means for transmitting the centrifugal force component on the rear pivot to the rear wheels and ground.

Mikina, S.J.

1986-08-05T23:59:59.000Z

116

Vehicle Technologies Office: Hybrid and Vehicle Systems  

Broader source: Energy.gov [DOE]

Hybrid and vehicle systems research provides an overarching vehicle systems perspective to the technology research and development (R&D) activities of the U.S. Department of Energy's (DOE's)...

117

Hybrid Electric Vehicle Testing  

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

Transportation Association Conference Transportation Association Conference Vancouver, Canada December 2005 Hybrid Electric Vehicle Testing Jim Francfort U.S. Department of Energy - FreedomCAR & Vehicle Technologies Program, Advanced Vehicle Testing Activity INL/CON-05-00964 Presentation Outline * Background & goals * Testing partners * Hybrid electric vehicle testing - Baseline performance testing (new HEV models) - 1.5 million miles of HEV fleet testing (160k miles per vehicle in 36 months) - End-of-life HEV testing (rerun fuel economy & conduct battery testing @ 160k miles per vehicle) - Benchmark data: vehicle & battery performance, fuel economy, maintenance & repairs, & life-cycle costs * WWW information location Background * Advanced Vehicle Testing Activity (AVTA) - part of the

118

Vehicle & Systems Simulation & Testing  

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

penetration of advanced vehicles and systems to displace petroleum consumption, reduce GHG emissions, and achieve vehicle electrification goals. Evaluate technology targets...

119

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

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

Utilities Employers Develop long-range Plan Deployment area Vehicle penetration Infrastructure requirements Develop EV Micro-Climate Support...

120

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

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

Utilities Employers Develop Long-Range Plan Deployment Area Vehicle Penetration Infrastructure Requirements Develop EV Micro-Climate Initial...

Note: This page contains sample records for the topic "vehicle choice 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

Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency  

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

Maximizing Alternative Maximizing Alternative Fuel Vehicle Efficiency to someone by E-mail Share Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Facebook Tweet about Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Twitter Bookmark Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Google Bookmark Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Delicious Rank Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on Digg Find More places to share Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Advanced Power Electronics & Electrical Machines

122

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

123

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

124

Advanced Vehicle Testing Activity: Light-Duty Vehicles  

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

Light-Duty Light-Duty Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Light-Duty Vehicles on Facebook Tweet about Advanced Vehicle Testing Activity: Light-Duty Vehicles on Twitter Bookmark Advanced Vehicle Testing Activity: Light-Duty Vehicles on Google Bookmark Advanced Vehicle Testing Activity: Light-Duty Vehicles on Delicious Rank Advanced Vehicle Testing Activity: Light-Duty Vehicles on Digg Find More places to share Advanced Vehicle Testing Activity: Light-Duty Vehicles on AddThis.com... Home Overview Light-Duty Vehicles Alternative Fuel Vehicles Plug-in Hybrid Electric Vehicles Hybrid Electric Vehicles Micro Hybrid Vehicles ARRA Vehicle and Infrastructure Projects EVSE Testing Energy Storage Testing Hydrogen Internal Combustion Engine Vehicles Other ICE

125

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

126

Arnold Schwarzenegger COMMUNITY CHOICE AGGREGATION  

E-Print Network [OSTI]

/Agricultural/Water End-Use Energy Efficiency Natural Gas Renewable Energy Technologies Transportation Community Choice&D program areas: Buildings End-Use Energy Efficiency Climate Change Energy Innovations Small Grants Energy-Related Environmental Research Energy Systems Integration Environmentally Preferred Advanced Generation Industrial

127

Assumptions to the Annual Energy Outlook 1999 - Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

transportation.gif (5318 bytes) transportation.gif (5318 bytes) 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, mass transit, and miscellaneous transport such as mass transit. Light-duty vehicle fuel consumption is further subdivided into personal usage and commercial fleet consumption.

128

Clean Cities 2012 Vehicle Buyer's Guide (Brochure)  

SciTech Connect (OSTI)

The expanding availability of alternative fuels and advanced vehicles makes it easier than ever to reduce petroleum use, cut emissions, and save on fuel costs. The Clean Cities 2012 Vehicle Buyer's Guide features a comprehensive list of model year 2012 vehicles that can run on ethanol, biodiesel, electricity, propane or natural gas. Drivers and fleet managers across the country are looking for ways to reduce petroleum use, fuel costs, and vehicle emissions. As you'll find in this guide, these goals are easier to achieve than ever before, with an expanding selection of vehicles that use gasoline or diesel more efficiently, or forego them altogether. Plug-in electric vehicles made a grand entrance onto U.S. roadways in model year (MY) 2011, and their momentum in the market is poised for continued growth in 2012. Sales of the all-electric Nissan Leaf surpassed 8,000 in the fall of 2011, and the plug-in hybrid Chevy Volt is now available nationwide. Several new models from major automakers will become available throughout MY 2012, and drivers are benefiting from a rapidly growing network of charging stations, thanks to infrastructure development initiatives in many states. Hybrid electric vehicles, which first entered the market just a decade ago, are ubiquitous today. Hybrid technology now allows drivers of all vehicle classes, from SUVs to luxury sedans to subcompacts, to slash fuel use and emissions. Alternative fueling infrastructure is expanding in many regions, making natural gas, propane, ethanol, and biodiesel attractive and convenient choices for many consumers and fleets. And because fuel availability is the most important factor in choosing an alternative fuel vehicle, this growth opens up new possibilities for vehicle ownership. This guide features model-specific information about vehicle specs, manufacturer suggested retail price (MSRP), fuel economy, and emissions. You can use this information to compare vehicles and help inform your buying decisions. This guide includes city and highway fuel economy estimates from the U.S. Environmental Protection Agency (EPA). The estimates are based on laboratory tests conducted by manufacturers in accordance with federal regulations. EPA retests about 10% of vehicle models to confirm manufacturer results. Fuel economy estimates are also available on FuelEconomy.gov. For some newer vehicle models, EPA data was not available at the time of this guide's publication; in these cases, manufacturer estimates are provided, if available.

Not Available

2012-03-01T23:59:59.000Z

129

Energy Department Announces Apps for Vehicles Challenge Winners |  

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

Energy Department Announces Apps for Vehicles Challenge Winners Energy Department Announces Apps for Vehicles Challenge Winners Energy Department Announces Apps for Vehicles Challenge Winners April 1, 2013 - 4:55pm Addthis News Media Contact (202) 586-4940 WASHINGTON - As part of the Obama Administration's commitment to expand access to data and reduce fuel costs for consumers, the Energy Department today announced the winners of the Apps for Vehicles Challenge. The competition asked app developers and entrepreneurs to demonstrate how the open data available on most vehicles can be used to improve vehicle safety, fuel efficiency and comfort. The Department awarded New York City-based Dash the Judges' Prize and MyCarma, headquartered in Troy, Michigan, the Popular Choice prize. Green Button Gamer, based in Boston, Massachusetts,

130

Energy Department Announces Apps for Vehicles Challenge Winners |  

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

Energy Department Announces Apps for Vehicles Challenge Winners Energy Department Announces Apps for Vehicles Challenge Winners Energy Department Announces Apps for Vehicles Challenge Winners April 1, 2013 - 4:55pm Addthis News Media Contact (202) 586-4940 WASHINGTON - As part of the Obama Administration's commitment to expand access to data and reduce fuel costs for consumers, the Energy Department today announced the winners of the Apps for Vehicles Challenge. The competition asked app developers and entrepreneurs to demonstrate how the open data available on most vehicles can be used to improve vehicle safety, fuel efficiency and comfort. The Department awarded New York City-based Dash the Judges' Prize and MyCarma, headquartered in Troy, Michigan, the Popular Choice prize. Green Button Gamer, based in Boston, Massachusetts,

131

Vehicle Technologies Office: About the Vehicle Technologies Office: Moving  

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

About the Vehicle About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles to someone by E-mail Share Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Facebook Tweet about Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Twitter Bookmark Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Google Bookmark Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Delicious Rank Vehicle Technologies Office: About the Vehicle Technologies Office: Moving America Forward with Clean Vehicles on Digg Find More places to share Vehicle Technologies Office: About the

132

Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle  

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

9: August 6, 9: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts to someone by E-mail Share Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts on Facebook Tweet about Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts on Twitter Bookmark Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts on Google Bookmark Vehicle Technologies Office: Fact #739: August 6, 2012 Light Vehicle Dealership Sales Trends - New Vehicles, Used Vehicles, and Service/Parts on Delicious

133

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

134

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

135

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

136

Massachusetts Electric Vehicle Efforts  

E-Print Network [OSTI]

Massachusetts Electric Vehicle Efforts Christine Kirby, MassDEP ZE-MAP Meeting October 24, 2014 #12 · Provide Clean Air · Grow the Clean Energy Economy · Electric vehicles are a key part of the solution #12 is promoting EVs 4 #12;TCI and Electric Vehicles · Established the Northeast Electric Vehicle Network through

California at Davis, University of

137

Powertrain & Vehicle Research Centre  

E-Print Network [OSTI]

complexity ·More efficient Vehicles, quicker to market, reduced cost to consumer The Optimisation Task and virtual environments Vehicle baseline testing on rolling road Calibration Control Engine VehiclePowertrain & Vehicle Research Centre Low Carbon Powertrain Development S. Akehurst, EPSRC Advanced

Burton, Geoffrey R.

138

Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle  

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

5: November 25, 5: November 25, 2013 Vehicle Technology Penetration to someone by E-mail Share Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Facebook Tweet about Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Twitter Bookmark Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Google Bookmark Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Delicious Rank Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on Digg Find More places to share Vehicle Technologies Office: Fact #805: November 25, 2013 Vehicle Technology Penetration on AddThis.com... Fact #805: November 25, 2013

139

Vehicle Technologies Office: Ambassadors  

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

Ambassadors to someone Ambassadors to someone by E-mail Share Vehicle Technologies Office: Ambassadors on Facebook Tweet about Vehicle Technologies Office: Ambassadors on Twitter Bookmark Vehicle Technologies Office: Ambassadors on Google Bookmark Vehicle Technologies Office: Ambassadors on Delicious Rank Vehicle Technologies Office: Ambassadors on Digg Find More places to share Vehicle Technologies Office: Ambassadors on AddThis.com... Goals Research & Development Testing and Analysis Workplace Charging Partners Ambassadors Resources Community and Fleet Readiness Workforce Development Plug-in Electric Vehicle Basics Ambassadors Workplace Charging Challenge Clean Cities Coalitions Clean Cities logo. Clean Cities National: A network of nearly 100 Clean Cities coalitions, supported by the

140

Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type  

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

6: February 9, 6: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled to someone by E-mail Share Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Facebook Tweet about Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Twitter Bookmark Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Google Bookmark Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Delicious Rank Vehicle Technologies Office: Fact #306: February 9, 2004 Vehicle Type Differences on Vehicle Miles Traveled on Digg Find More places to share Vehicle Technologies Office: Fact #306:

Note: This page contains sample records for the topic "vehicle choice 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

Mountain Health Choices Beneficiary Report  

E-Print Network [OSTI]

................................................................................................................ 42 I. Access to Health Care Mountain Health Choices Beneficiary Report A Report to the West Virginia Bureau for Medical of Health and Human Resources, Bureau for Medical Services. #12; 1 Table of Contents I. EXECUTIVE

Mohaghegh, Shahab

142

NREL: Vehicles and Fuels Research - Hybrid Electric Fleet Vehicle...  

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

Hybrid Electric Fleet Vehicle Testing How Hybrid Electric Vehicles Work Hybrid electric vehicles combine a primary power source, an energy storage system, and an electric motor to...

143

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase ____________________________ Week Ended (Sunday) _________________  

E-Print Network [OSTI]

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase (rev. 10/2005-ecb) #12;Vehicle Usage Log Instructions General instructions: The details of the use

Yang, Zong-Liang

144

Fact #842: October 13, 2014 Vehicles and Vehicle Travel Trends...  

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

drivers, number of vehicles in operation, and total vehicle miles traveled. Fact 842 Dataset Supporting Information Population and Vehicle Growth Comparison, 1950-2012 Year...

145

Vehicle Technologies Office: Natural Gas Research  

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

Natural Gas Research Natural Gas Research Natural gas offers tremendous opportunities for reducing the use of petroleum in transportation. Medium and heavy-duty fleets, which have significant potential to use natural gas, currently consume more than a third of the petroleum in transportation in the U.S. Natural gas is an excellent fit for a wide range of heavy-duty applications, especially transit buses, refuse haulers, and Class 8 long-haul or delivery trucks. In addition, natural gas can be a very good choice for light-duty vehicle fleets with central refueling. See the Alternative Fuels Data Center for a description of the uses and benefits of natural gas vehicles or its Laws and Incentives database for information on tax incentives. The Vehicle Technologies Office (VTO) supports the development of natural gas engines and research into renewable natural gas production.

146

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":""}]}

147

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.

148

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

149

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

150

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

151

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

152

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.

153

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

Gasoline and Diesel Fuel Update (EIA)

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

154

Vehicle Technologies Office: Lubricants  

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

Lubricants to someone by Lubricants to someone by E-mail Share Vehicle Technologies Office: Lubricants on Facebook Tweet about Vehicle Technologies Office: Lubricants on Twitter Bookmark Vehicle Technologies Office: Lubricants on Google Bookmark Vehicle Technologies Office: Lubricants on Delicious Rank Vehicle Technologies Office: Lubricants on Digg Find More places to share Vehicle Technologies Office: Lubricants on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Advanced Power Electronics & Electrical Machines Advanced Combustion Engines Fuels & Lubricants Fuel Effects on Combustion Lubricants Natural Gas Research Biofuels End-Use Research Materials Technologies Lubricants As most vehicles are on the road for more than 15 years before they are retired, investigating technologies that will improve today's vehicles is

155

Chapter 2. Vehicle Characteristics  

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

2. Vehicle Characteristics 2. Vehicle Characteristics Chapter 2. Vehicle Characteristics U.S. households used a fleet of nearly 157 million vehicles in 1994. Despite remarkable growth in the number of minivans and sport-utility vehicles, passenger cars continued to predominate in the residential vehicle fleet. This chapter looks at changes in the composition of the residential fleet in 1994 compared with earlier years and reviews the effect of technological changes on fuel efficiency (how efficiently a vehicle engine processes motor fuel) and fuel economy (how far a vehicle travels on a given amount of fuel). Using data unique to the Residential Transportation Energy Consumption Survey, it also explores the relationship between residential vehicle use and family income.

156

Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles  

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

Medium- and Medium- and Heavy-Duty Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Facebook Tweet about Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Twitter Bookmark Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Google Bookmark Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Delicious Rank Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on Digg Find More places to share Advanced Vehicle Testing Activity: Medium- and Heavy-Duty Vehicles on AddThis.com... Home Overview Light-Duty Vehicles Medium- and Heavy-Duty Vehicles Transit Vehicles Trucks Idle Reduction Oil Bypass Filter Airport Ground Support Equipment Medium and Heavy Duty Hybrid Electric Vehicles

157

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.

158

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.

159

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.

160

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.

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


161

EIA - Assumptions to the Annual Energy Outlook 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.

162

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.

163

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

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

EVSE Designed And Manufactured To Allow Power And Energy Data Collection And Demand Response Control Residential EVSE Installed For All Vehicles 1,300 Commercial EVSE...

164

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

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

2 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting arravt066vsskarner2012...

165

Electric Drive Vehicle Demonstration and Vehicle Infrastructure...  

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

1 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation arravt066vsskarner2011...

166

Smith Electric Vehicles: Advanced Vehicle Electrification + Transporta...  

Energy Savers [EERE]

1 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation arravt072vssmackie2011...

167

Smith Electric Vehicles: Advanced Vehicle Electrification + Transporta...  

Energy Savers [EERE]

2 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting arravt072vssmackie2012...

168

Household Vehicles Energy Consumption 1991  

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

vehicle aging have an additional but unknown effect on the MPG of individual vehicles. Energy Information AdministrationHousehold Vehicles Energy Consumption 1991 27 Of the...

169

Vehicle Research Laboratory - FEERC  

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

Vehicle Research Laboratory Vehicle Research Laboratory Expertise The overall FEERC team has been developed to encompass the many disciplines necessary for world-class fuels, engines, and emissions-related research, with experimental, analytical, and modeling capabilities. Staff members specialize in areas including combustion and thermodynamics, emissions measurements, analytical chemistry, catalysis, sensors and diagnostics, dynamometer cell operations, engine controls and control theory. FEERC engineers have many years of experience in vehicle research, chassis laboratory development and operation, and have developed specialized systems and methods for vehicle R&D. Selected Vehicle Research Topics In-use investigation of Lean NOx Traps (LNTs). Vehicle fuel economy features such as lean operation GDI engines,

170

Solar Choice Solutions Inc | Open Energy Information  

Open Energy Info (EERE)

Solutions Inc Jump to: navigation, search Name: Solar Choice Solutions Inc. Place: Calabasas, California Zip: 91302 Sector: Solar Product: Solar Choice Solutions Inc. is an...

171

Lighting Choices - White Background | Department of Energy  

Energy Savers [EERE]

the new energy standards that take effect from 2012-2014. allbulbshiresweb.eps More Documents & Publications Lighting Choices - White Background Lighting Choices...

172

Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per  

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

5: September 15, 5: September 15, 2003 Vehicles per Thousand People: An International Comparison to someone by E-mail Share Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Facebook Tweet about Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Twitter Bookmark Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Google Bookmark Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Delicious Rank Vehicle Technologies Office: Fact #285: September 15, 2003 Vehicles per Thousand People: An International Comparison on Digg

173

Vehicle Technologies Office: Favorites  

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

Favorites to someone by Favorites to someone by E-mail Share Vehicle Technologies Office: Favorites on Facebook Tweet about Vehicle Technologies Office: Favorites on Twitter Bookmark Vehicle Technologies Office: Favorites on Google Bookmark Vehicle Technologies Office: Favorites on Delicious Rank Vehicle Technologies Office: Favorites on Digg Find More places to share Vehicle Technologies Office: Favorites on AddThis.com... Favorites #248 Top Ten Net Petroleum Importing Countries, 2000 December 23, 2002 #246 U.S. Oil Imports - Top 10 Countries of Origin December 9, 2002 #244 Sport Utility Vehicle Spotlight November 25, 2002 #243 Fuel Economy Leaders for 2003 Model Year Light Trucks November 18, 2002 #242 Fuel Economy Leaders for 2003 Model Year Cars November 11, 2002 #238 Automobile and Truck Population by Vehicle Age, 2001 October 14, 2002

174

Vehicle Technologies Office: Partners  

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

Partners to someone by Partners to someone by E-mail Share Vehicle Technologies Office: Partners on Facebook Tweet about Vehicle Technologies Office: Partners on Twitter Bookmark Vehicle Technologies Office: Partners on Google Bookmark Vehicle Technologies Office: Partners on Delicious Rank Vehicle Technologies Office: Partners on Digg Find More places to share Vehicle Technologies Office: Partners on AddThis.com... Goals Research & Development Testing and Analysis Workplace Charging Partners Ambassadors Resources Community and Fleet Readiness Workforce Development Plug-in Electric Vehicle Basics Partners The interactive map below highlights Workplace Charging Challenge Partners across the country who are installing plug-in electric vehicle charging infrastructure for their employees. Select a worksite to learn more about

175

Vehicle Technologies Office: News  

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

News News Site Map Printable Version Share this resource Send a link to Vehicle Technologies Office: News to someone by E-mail Share Vehicle Technologies Office: News on Facebook Tweet about Vehicle Technologies Office: News on Twitter Bookmark Vehicle Technologies Office: News on Google Bookmark Vehicle Technologies Office: News on Delicious Rank Vehicle Technologies Office: News on Digg Find More places to share Vehicle Technologies Office: News on AddThis.com... Vehicle Technologies News Blog Newsletters Information for Media Subscribe to News Updates News December 18, 2013 USDA Offers $118 Million for Renewable Energy, Smart Grid Projects The U.S. Department of Agriculture (USDA) announced $73 million in funding for renewable energy projects and $45 million for smart grid technology as

176

Social networking in vehicles  

E-Print Network [OSTI]

In-vehicle, location-aware, socially aware telematic systems, known as Flossers, stand to revolutionize vehicles, and how their drivers interact with their physical and social worlds. With Flossers, users can broadcast and ...

Liang, Philip Angus

2006-01-01T23:59:59.000Z

177

Electric Vehicle Research Group  

E-Print Network [OSTI]

.................................................................................9 From diesel to electric: a new era in personnel transport for underground coal minesElectric Vehicle Research Group Annual Report 2012 #12;Table of Contents Executive Summary................................................................................8 C2-25 Electric Vehicle Drivetrain

Liley, David

178

Hydrogen Fuel Cell Vehicles  

E-Print Network [OSTI]

Hydrogen Fuel Cell Vehicles UCD-ITS-RR-92-14 September byet al. , 1988,1989 HYDROGEN FUEL-CELL VEHICLES: TECHNICALIn the FCEV, the hydrogen fuel cell could supply the "net"

Delucchi, Mark

1992-01-01T23:59:59.000Z

179

Vehicles | Open Energy Information  

Open Energy Info (EERE)

renewable and alternative fuels. Advanced vehicles and fuels can also put the brakes on air pollution and improve our environment. At least 250 million vehicles are in use in the...

180

Advanced Vehicle Electrification  

Broader source: Energy.gov [DOE]

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

Note: This page contains sample records for the topic "vehicle choice 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

Advanced Vehicle Electrification  

Broader source: Energy.gov [DOE]

2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

182

Consumer Vehicle Technology Data  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

183

Advanced Electric Drive Vehicles  

Broader source: Energy.gov [DOE]

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

184

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

185

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

186

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

187

Powertrain & Vehicle Research Centre  

E-Print Network [OSTI]

Simulation Basic Engine Test Vehicle Test Cost & Complexity Towards Final Product Lean Powertrain Development Viewing Trade-Offs and Finding Optima Realism Advanced Engine Test Vehicle Test Rolling Road Powertrain powertrain development tasks to reduce costs and time to market The vehicle powertrain is the system

Burton, Geoffrey R.

188

Energy 101: Electric Vehicles  

ScienceCinema (OSTI)

This edition of Energy 101 highlights the benefits of electric vehicles, including improved fuel efficiency, reduced emissions, and lower maintenance costs. For more information on electric vehicles from the Office of Energy Efficiency and Renewable Energy, visit the Vehicle Technologies Program website: http://www1.eere.energy.gov/vehiclesandfuels/

None

2013-05-29T23:59:59.000Z

189

Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle  

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

2: October 3, 2: October 3, 2005 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #392: October 3, 2005 Household Vehicle Ownership on AddThis.com... Fact #392: October 3, 2005 Household Vehicle Ownership Household vehicle ownership has changed significantly over the last 40

190

Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle  

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

5: February 5, 5: February 5, 2007 Household Vehicle Miles to someone by E-mail Share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Facebook Tweet about Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Twitter Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Google Bookmark Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Delicious Rank Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on Digg Find More places to share Vehicle Technologies Office: Fact #455: February 5, 2007 Household Vehicle Miles on AddThis.com... Fact #455: February 5, 2007 Household Vehicle Miles The graphs below show the average vehicle miles of travel (VMT) - daily

191

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.

192

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 EnergyÂ’s Office of Policy, other DOE offices, and other government agencies.

193

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.

194

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).

195

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.

196

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

197

Vehicle Technologies Office: Deployment  

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

Deployment Deployment Site Map Printable Version Share this resource Send a link to Vehicle Technologies Office: Deployment to someone by E-mail Share Vehicle Technologies Office: Deployment on Facebook Tweet about Vehicle Technologies Office: Deployment on Twitter Bookmark Vehicle Technologies Office: Deployment on Google Bookmark Vehicle Technologies Office: Deployment on Delicious Rank Vehicle Technologies Office: Deployment on Digg Find More places to share Vehicle Technologies Office: Deployment on AddThis.com... Energy Policy Act (EPAct) Clean Cities Educational Activities Deployment Our nation's energy security depends on the efficiency of our transportation system and on which fuels we use. Transportation in the United States already consumes much more oil than we produce here at home

198

Vehicle Technologies Office: Batteries  

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

Batteries to someone by Batteries to someone by E-mail Share Vehicle Technologies Office: Batteries on Facebook Tweet about Vehicle Technologies Office: Batteries on Twitter Bookmark Vehicle Technologies Office: Batteries on Google Bookmark Vehicle Technologies Office: Batteries on Delicious Rank Vehicle Technologies Office: Batteries on Digg Find More places to share Vehicle Technologies Office: Batteries on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Batteries Battery Systems Applied Battery Research Long-Term Exploratory Research Ultracapacitors Advanced Power Electronics & Electrical Machines Advanced Combustion Engines Fuels & Lubricants Materials Technologies Batteries battery/cell diagram Battery/Cell Diagram Batteries are important to our everyday lives and show up in various

199

Vehicles | Department of Energy  

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

Vehicles Vehicles Vehicles EERE leads U.S. researchers and other partners in making transportation cleaner and more efficient through solutions that put electric drive vehicles on the road and replace oil with clean domestic fuels. EERE leads U.S. researchers and other partners in making transportation cleaner and more efficient through solutions that put electric drive vehicles on the road and replace oil with clean domestic fuels. Image of three semi truck cabs. The one on the left is yellow, the middle is green, and the far right truck is red. The U.S. Department of Energy (DOE) supports the development and deployment of advanced vehicle technologies, including advances in electric vehicles, engine efficiency, and lightweight materials. Since 2008, the Department of

200

Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle  

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

1: January 8, 1: January 8, 2007 Household Vehicle Trips to someone by E-mail Share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Facebook Tweet about Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Twitter Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Google Bookmark Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Delicious Rank Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on Digg Find More places to share Vehicle Technologies Office: Fact #451: January 8, 2007 Household Vehicle Trips on AddThis.com... Fact #451: January 8, 2007 Household Vehicle Trips In a day, the average household traveled 32.7 miles in 2001 (the latest

Note: This page contains sample records for the topic "vehicle choice 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

Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy  

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

3: March 8, 2010 3: March 8, 2010 Vehicle Occupancy Rates to someone by E-mail Share Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Facebook Tweet about Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Twitter Bookmark Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Google Bookmark Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Delicious Rank Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on Digg Find More places to share Vehicle Technologies Office: Fact #613: March 8, 2010 Vehicle Occupancy Rates on AddThis.com... Fact #613: March 8, 2010 Vehicle Occupancy Rates The average number of persons occupying a car is 1.59 and has not changed

202

Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual  

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

FY 2008 DOE Vehicle FY 2008 DOE Vehicle Technologies Office Annual Merit Review to someone by E-mail Share Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Facebook Tweet about Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Twitter Bookmark Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Google Bookmark Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Delicious Rank Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on Digg Find More places to share Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual Merit Review on AddThis.com... Publications

203

Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle  

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

8: February 16, 8: February 16, 2009 Transit Vehicle Age and Cost to someone by E-mail Share Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Facebook Tweet about Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Twitter Bookmark Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Google Bookmark Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Delicious Rank Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on Digg Find More places to share Vehicle Technologies Office: Fact #558: February 16, 2009 Transit Vehicle Age and Cost on AddThis.com... Fact #558: February 16, 2009 Transit Vehicle Age and Cost

204

Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle  

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

3: January 22, 3: January 22, 2007 Household Vehicle Ownership to someone by E-mail Share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Facebook Tweet about Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Twitter Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Google Bookmark Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Delicious Rank Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on Digg Find More places to share Vehicle Technologies Office: Fact #453: January 22, 2007 Household Vehicle Ownership on AddThis.com... Fact #453: January 22, 2007 Household Vehicle Ownership

205

Vehicle Technologies Office: Key Activities in Vehicles  

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

Activities in Vehicles Activities in Vehicles We conduct work in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or improving performance, power, and comfort. Research and development (R&D); testing and analysis; government and community stakeholder support; and education help people access and use efficient, clean vehicles that meet their transportation needs. Researcher loads a sample mount of battery cathode materials for X-ray diffraction, an analysis tool for obtaining information on the crystallographic structure and composition of materials. Research and Development of New Technologies Develop durable and affordable advanced batteries as well as other forms of energy storage. Improve the efficiency of combustion engines.

206

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

207

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

208

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

209

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.

210

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

211

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).

212

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).

213

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

214

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).

215

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.

216

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

217

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).

218

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

219

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

220

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

Note: This page contains sample records for the topic "vehicle choice 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

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

222

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 EIAÂ’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

223

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.

224

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

225

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,

226

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

227

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).

228

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).

229

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).

230

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

231

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 EIAÂ’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

232

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

233

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)

234

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 EIAÂ’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

235

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

236

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.

237

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 EIAÂ’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].

238

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

239

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

240

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),

Note: This page contains sample records for the topic "vehicle choice 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

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

242

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

243

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

244

Impact of fuel price on vehicle miles traveled (VMT): do the poor respond in the same way as the rich?  

Science Journals Connector (OSTI)

The effects of fuel price on travel demand for different income groups ... choices and constraints by examining the variation of fuel price elasticity of vehicle miles travelled (VMT) ... in VMT as a result of im...

Tingting Wang; Cynthia Chen

2014-01-01T23:59:59.000Z

245

Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle  

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

39: October 6, 39: October 6, 2008 Light Vehicle Production by State to someone by E-mail Share Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Facebook Tweet about Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Twitter Bookmark Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Google Bookmark Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Delicious Rank Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on Digg Find More places to share Vehicle Technologies Office: Fact #539: October 6, 2008 Light Vehicle Production by State on AddThis.com... Fact #539: October 6, 2008

246

Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles  

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

1: January 23, 1: January 23, 2012 Top Vehicles around the Globe, 2011 to someone by E-mail Share Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Facebook Tweet about Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Twitter Bookmark Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Google Bookmark Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Delicious Rank Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on Digg Find More places to share Vehicle Technologies Office: Fact #711: January 23, 2012 Top Vehicles around the Globe, 2011 on AddThis.com...

247

Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle  

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

4 Progress Report 4 Progress Report for Heavy Vehicle Propulsion Materials Program to someone by E-mail Share Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Facebook Tweet about Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Twitter Bookmark Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Google Bookmark Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Delicious Rank Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on Digg Find More places to share Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle Propulsion Materials Program on

248

Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle  

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

9: May 10, 2004 9: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison to someone by E-mail Share Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Facebook Tweet about Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Twitter Bookmark Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Google Bookmark Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Delicious Rank Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on Digg Find More places to share Vehicle Technologies Office: Fact #319: May 10, 2004 Highway Vehicle Emissions: 1970-2001 Comparison on

249

Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle  

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

300: December 29, 300: December 29, 2003 World Vehicle Production by Country/Region to someone by E-mail Share Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Facebook Tweet about Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Twitter Bookmark Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Google Bookmark Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Delicious Rank Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on Digg Find More places to share Vehicle Technologies Office: Fact #300: December 29, 2003 World Vehicle Production by Country/Region on

250

Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle  

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

3 Progress Report 3 Progress Report for Heavy Vehicle Propulsion Materials Program to someone by E-mail Share Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Facebook Tweet about Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Twitter Bookmark Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Google Bookmark Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Delicious Rank Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on Digg Find More places to share Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle Propulsion Materials Program on

251

Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle  

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

5: January 11, 5: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 to someone by E-mail Share Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Facebook Tweet about Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Twitter Bookmark Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Google Bookmark Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Delicious Rank Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on Digg Find More places to share Vehicle Technologies Office: Fact #605: January 11, 2010 Light Vehicle Sales by Month, 2008-2009 on AddThis.com...

252

Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle  

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

8: November 23, 8: November 23, 2009 Hybrid Vehicle Sales by Model to someone by E-mail Share Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Facebook Tweet about Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Twitter Bookmark Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Google Bookmark Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Delicious Rank Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on Digg Find More places to share Vehicle Technologies Office: Fact #598: November 23, 2009 Hybrid Vehicle Sales by Model on AddThis.com... Fact #598: November 23, 2009

253

Household demand and willingness to pay for hybrid vehicles  

Science Journals Connector (OSTI)

Abstract This paper quantitatively evaluates consumers' willingness to pay for hybrid vehicles by estimating the demand of hybrid vehicles in the U.S. market. Using micro-level data on consumer purchases of hybrid and non-hybrid vehicles from National Household Travel Survey 2009, this paper formulates a mixed logit model of consumers' vehicle choices. Parameter estimates are then used to evaluate consumers' willingness to pay for hybrids. Results suggest that households' willingness to pay for hybrids ranges from $963 to $1718 for different income groups, which is significantly lower than the average price premium (over $5000) of hybrid vehicles, even when taking the fuel costs savings of hybrid vehicles into consideration. The differences reveal that although the market has shown increasing interest in hybrid vehicles, consumers' valuation of the hybrid feature is still not high enough to compensate for the price premium when they make new purchases. Policy simulations are conducted to examine the effects of raising federal tax incentives on the purchase of hybrid vehicles.

Yizao Liu

2014-01-01T23:59:59.000Z

254

Vehicle Technologies Office: Favorites  

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

Favorites Favorites #248 Top Ten Net Petroleum Importing Countries, 2000 December 23, 2002 #246 U.S. Oil Imports - Top 10 Countries of Origin December 9, 2002 #244 Sport Utility Vehicle Spotlight November 25, 2002 #243 Fuel Economy Leaders for 2003 Model Year Light Trucks November 18, 2002 #242 Fuel Economy Leaders for 2003 Model Year Cars November 11, 2002 #238 Automobile and Truck Population by Vehicle Age, 2001 October 14, 2002 #234 2003 Model Year Alternative Fuel Vehicles September 16, 2002 #233 Vehicles per Thousand People: U.S. Compared to Other Countries September 9, 2002 #230 Hybrid Electric Vehicles in the United States August 19, 2002 #229 Medium and Heavy Truck Sales August 12, 2002 #228 New Light Vehicle Sales Shares, 1976-2001 August 5, 2002

255

CMVRTC: Overweight Vehicle  

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

overweight vehicle data collection overweight vehicle data collection scale The Federal Motor Carrier Safety Administration requested information regarding overweight and oversized vehicle traffic entering inspection stations (ISs) in order to develop strategies for future research efforts and possibly help guide regulatory issues involving overweight commercial motor vehicles (CMVs). For a period of one month, inspection stations in Knox County and Greene County, Tennessee, recorded overweight and oversized vehicles that entered these ISs. During this period, 435 CMVs were recorded using an electronic form filled out by enforcement personnel at the IS. Of the 435 CMVs recorded, 381 had weight information documented with them. The majority (52.2%) of the vehicles recorded were five-axle combination

256

Vehicle Technologies Office: Lubricants  

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

Lubricants Lubricants As most vehicles are on the road for more than 15 years before they are retired, investigating technologies that will improve today's vehicles is essential. Because 11.5 percent of fuel energy is consumed by engine friction, decreasing this friction through lubricants can lead to substantial improvements in the fuel economy of current vehicles, without needing to wait for the fleet to turn over. In fact, a 1 percent fuel savings in the existing vehicle fleet possible through lubricants could save 97 thousand barrels of oil a day or $3.5 billion a year. Because of these benefits, the Vehicle Technologies Office supports research on lubricants that can improve the efficiency of internal combustion engine vehicles, complementing our work on advanced combustion engine technology.

257

Vehicle underbody fairing  

DOE Patents [OSTI]

A vehicle underbody fairing apparatus for reducing aerodynamic drag caused by a vehicle wheel assembly, by reducing the size of a recirculation zone formed under the vehicle body immediately downstream of the vehicle wheel assembly. The fairing body has a tapered aerodynamic surface that extends from a front end to a rear end of the fairing body with a substantially U-shaped cross-section that tapers in both height and width. Fasteners or other mounting devices secure the fairing body to an underside surface of the vehicle body, so that the front end is immediately downstream of the vehicle wheel assembly and a bottom section of the tapered aerodynamic surface rises towards the underside surface as it extends in a downstream direction.

Ortega, Jason M. (Pacifica, CA); Salari, Kambiz (Livermore, CA); McCallen, Rose (Livermore, CA)

2010-11-09T23:59:59.000Z

258

Advanced Technology Vehicle Testing  

SciTech Connect (OSTI)

The goal of the U.S. Department of Energy's Advanced Vehicle Testing Activity (AVTA) is to increase the body of knowledge as well as the awareness and acceptance of electric drive and other advanced technology vehicles (ATV). The AVTA accomplishes this goal by testing ATVs on test tracks and dynamometers (Baseline Performance testing), as well as in real-world applications (Fleet and Accelerated Reliability testing and public demonstrations). This enables the AVTA to provide Federal and private fleet managers, as well as other potential ATV users, with accurate and unbiased information on vehicle performance and infrastructure needs so they can make informed decisions about acquiring and operating ATVs. The ATVs currently in testing include vehicles that burn gaseous hydrogen (H2) fuel and hydrogen/CNG (H/CNG) blended fuels in internal combustion engines (ICE), and hybrid electric (HEV), urban electric, and neighborhood electric vehicles. The AVTA is part of DOE's FreedomCAR and Vehicle Technologies Program.

James Francfort

2004-06-01T23:59:59.000Z

259

Accomodating Electric Vehicles  

E-Print Network [OSTI]

Accommodating Electric Vehicles Dave Aasheim 214-551-4014 daasheim@ecotality.com A leader in clean electric transportation and storage technologies ECOtality North America Overview Today ? Involved in vehicle electrification... ECOtality North America Overview Today ?Warehouse Material Handling ? Lift trucks ? Pallet Jacks ? Over 200 Customers ? Over 5,000 Installations ECOtality North America Overview Today ? 1990?s involved in EV1 ? EV Chargers ? Vehicle & battery...

Aasheim, D.

2011-01-01T23:59:59.000Z

260

New Calculator Helps You Buy the Energy-Saving Vehicle of Your Dreams |  

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

Calculator Helps You Buy the Energy-Saving Vehicle of Your Calculator Helps You Buy the Energy-Saving Vehicle of Your Dreams New Calculator Helps You Buy the Energy-Saving Vehicle of Your Dreams November 15, 2011 - 5:25am Addthis Eric Barendsen Energy Technology Program Specialist, Office of Energy Efficiency and Renewable Energy Every day, people across America are making the choice to buy energy-efficient vehicles that save energy and money, protect the environment, and help reduce America's dependence on foreign oil. The work we do at the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) has played an important role in developing key technologies - such as innovative batteries - that are making possible the hybrids, electric vehicles, and other alternative fuel vehicles available to consumers and fleets today. These high-efficiency vehicles,

Note: This page contains sample records for the topic "vehicle choice 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

Quadrennial Technology Review Vehicle Efficiency and Electrification...  

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

Vehicle Efficiency and Electrification Workshop Documents Quadrennial Technology Review Vehicle Efficiency and Electrification Workshop Documents QTR Vehicle Efficiency and...

262

Advanced Technology Vehicles Manufacturing Incentive Program...  

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

Advanced Technology Vehicles Manufacturing Incentive Program Advanced Technology Vehicles Manufacturing Incentive Program A fact sheet detailling the advanced technology vehicles...

263

Hybrid Vehicle Technology - Home  

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

* Batteries * Batteries * Modeling * Testing Hydrogen & Fuel Cells Materials Modeling, Simulation & Software Plug-In Hybrid Electric Vehicles PSAT Smart Grid Student Competitions Technology Analysis Transportation Research and Analysis Computing Center Working With Argonne Contact TTRDC Hybrid Vehicle Technology revolutionize transportation Argonne's Research Argonne researchers are developing and testing various hybrid electric vehicles (HEVs) and their components to identify the technologies, configurations, and engine control strategies that provide the best combination of high fuel economy and low emissions. Vehicle Validation Argonne also serves as the lead laboratory for hardware-in-the-loop (HIL) and technology validation for the U.S. Department of Energy (DOE). HIL is a

264

Advanced Vehicle Electrification  

Broader source: Energy.gov [DOE]

2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C.

265

Vehicle Modeling and Simulation  

Broader source: Energy.gov [DOE]

Presentation from the U.S. DOE Office of Vehicle Technologies "Mega" Merit Review 2008 on February 25, 2008 in Bethesda, Maryland.

266

Flex Fuel Vehicle Systems  

Broader source: Energy.gov [DOE]

2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C.

267

Electric Vehicle Supply Equipment  

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

Procurement of Electric Vehicle Supply Equipment This Guidance provides a description of the types of requirements to be included in an employer's workplace charging request for...

268

Vehicle Technologies Office: Conferences  

Broader source: Energy.gov [DOE]

The Vehicle Technologies Office supports and sponsors conferences related to the Office's goals and objectives. When such conferences are planned and conference information becomes available, it...

269

Alternative Fuel Vehicle Resources  

Broader source: Energy.gov [DOE]

Alternative fuel vehicles use fuel types other than petroleum and include such fuels as electricity, ethanol, biodiesel, natural gas, hydrogen, and propane. Compared to petroleum, these...

270

Vehicle Emissions Review - 2012  

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

Vehicle Emissions Review - 2012 Tim Johnson October 16, 2012 2 Environmental Technologies Summary * Regulations - LEVIII finalized, Tier 3? RDE in Europe developing and very...

271

Vehicle highway automation.  

E-Print Network [OSTI]

??Vehicle Highway Automation has been studied for several years but a practical system has not been possible because of technology limitations. New advances in sensing… (more)

Challa, Dinesh Kumar

2009-01-01T23:59:59.000Z

272

Vehicles | Department of Energy  

Energy Savers [EERE]

Calculator is an interactive tool that helps you plan a route, pick a car and estimate a fuel costs. Subtopics Alternative Fuel Vehicles Batteries Hydrogen & Fuel Cells Bioenergy...

273

Integrated Vehicle Thermal Management  

Broader source: Energy.gov [DOE]

2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C.

274

Household Vehicles Energy Consumption 1991  

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

. . Trends in Household Vehicle Stock The 1991 RTECS counted more than 150 million vehicles in use by U.S. households. This chapter examines recent trends in the vehicle stock, as measured by the RTECS and other reputable vehicle surveys. It also provides some details on the type and model year of the household vehicle stock, and identifies regional differences in vehicle stock. Because vehicles are continuously being bought and sold, this chapter also reports findings relating to turnover of the vehicle stock in 1991. Finally, it examines the average vehicle stock in 1991 (which takes into account the acquisition and disposal of household vehicles over the course of the year) and identifies variations in the average number of household vehicles based on differences in household characteristics. Number of Household Vehicles Over the past 8 years, the stock of household vehicles has

275

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.

276

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).

277

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.

278

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.

279

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

280

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).

Note: This page contains sample records for the topic "vehicle choice 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

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.

282

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.

283

2012 U.S. Vehicle Analysis  

E-Print Network [OSTI]

Electric Vehicles …………………………………………………………. Dieselperformance of electric vehicles Diesel Vehicle From Tableelectric vehicles ……………………… 3.15: Emission and fuel efficiency performance of diesel

Lam, Ho Yeung Michael

2012-01-01T23:59:59.000Z

284

2008-07-22 Summary of Choices  

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

A T I O N 2008 - CONTRACT SIGNING * Core Purchase Obligation Choice (section 3 in body) * Load Following * Block (with or without Shaping Capacity) * Choice of Monthly and Diurnal...

285

Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle  

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

4: January 26, 4: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions to someone by E-mail Share Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Facebook Tweet about Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Twitter Bookmark Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Google Bookmark Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Delicious Rank Vehicle Technologies Office: Fact #304: January 26, 2004 Hybrid Vehicle Purchases Earn Federal Tax Deductions on Digg Find More places to share Vehicle Technologies Office: Fact #304:

286

Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle  

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

6: December 2, 6: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 to someone by E-mail Share Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Facebook Tweet about Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Twitter Bookmark Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Google Bookmark Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Delicious Rank Vehicle Technologies Office: Fact #806: December 2, 2013 Light Vehicle Market Shares, Model Years 1975-2012 on Digg Find More places to share Vehicle Technologies Office: Fact #806:

287

Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per  

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

8: April 12, 8: April 12, 2010 Vehicles per Household and Other Demographic Statistics to someone by E-mail Share Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Facebook Tweet about Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Twitter Bookmark Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Google Bookmark Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Delicious Rank Vehicle Technologies Office: Fact #618: April 12, 2010 Vehicles per Household and Other Demographic Statistics on Digg Find More places to share Vehicle Technologies Office: Fact #618:

288

Vehicle Technologies Office: 2010 Vehicle and Systems Simulation...  

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

Office: 2010 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2010 Vehicle and Systems Simulation and Testing R&D Annual Progress...

289

Vehicle Technologies Office: 2012 Vehicle and Systems Simulation...  

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

2 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2012 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY...

290

Vehicle Technologies Office: 2013 Vehicle and Systems Simulation...  

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

3 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2013 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY...

291

Vehicle Technologies Office: 2011 Vehicle and Systems Simulation...  

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

1 Vehicle and Systems Simulation and Testing R&D Annual Progress Report Vehicle Technologies Office: 2011 Vehicle and Systems Simulation and Testing R&D Annual Progress Report FY...

292

Vehicle Technologies Office Merit Review 2014: In-Vehicle Evaluation...  

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

In-Vehicle Evaluation of Lower-Energy Energy Storage System (LEESS) Devices Vehicle Technologies Office Merit Review 2014: In-Vehicle Evaluation of Lower-Energy Energy Storage...

293

Graduate AI Lecture 20: Social Choice I  

E-Print Network [OSTI]

Dodgson · 20th Century: Nobel prizes to Kenneth Arrow and Amartya Sen 2 #12;Computational social choice

Procaccia, Ariel

294

NREL: Vehicles and Fuels Research - Hydraulic Hybrid Fleet Vehicle...  

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

Hydraulic Hybrid Fleet Vehicle Testing How Hydraulic Hybrid Vehicles Work Hydraulic hybrid systems can capture up to 70% of the kinetic energy that would otherwise be lost during...

295

Challenges in Electric Vehicle Adoption and Vehicle-Grid Integration.  

E-Print Network [OSTI]

??With rapid innovation in vehicle and battery technology and strong support from governmental bodies and regulators, electric vehicles (EV) sales are poised to rise. While… (more)

Xi, Xiaomin

2013-01-01T23:59:59.000Z

296

Vehicle Technologies Market Report  

E-Print Network [OSTI]

· Diesel comprised 73% of the class 3-8 trucks sold in 2010, down from 84% in 2006 · Class 8 combination 2011 · There are more than 4,400 electric vehicle charging stations throughout the nation · Single wide stop sites across the country to reduce truck idling time Policy · Plug-in hybrids and electric vehicle

297

> 070131-073Vehicle  

E-Print Network [OSTI]

-how developed with the design ofthe ROAZ ASV [3] [4]. Power is provided by electric batteries. The computer> 070131-073Vehicle for Network Centric Operations H. Ferreira-The design and development of the Swordfish Autonomous Surface Vehicle (ASV) system is discussed. Swordfish

Marques, Eduardo R. B.

298

CMVRTC: Overweight Vehicle  

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

Heavy and overweight vehicle brake testing for combination five-axle Heavy and overweight vehicle brake testing for combination five-axle tractor-flatbed scale The Federal Motor Carrier Safety Administration, in coordination with the Federal Highway Administration, sponsored the Heavy and Overweight Vehicle Brake Testing (HOVBT) program in order to provide information about the effect of gross vehicle weight (GVW) on braking performance. Because the Federal Motor Carrier Safety Regulations limit the number of braking system defects that may exist for a vehicle to be allowed to operate on the roadways, the examination of the effect of brake defects on brake performance for increased loads is also relevant. The HOVBT program seeks to provide relevant information to policy makers responsible for establishing load limits, beginning with providing test data for a

299

Which Vehicles Are Tested  

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

Which Vehicles Are Tested Which Vehicles Are Tested Popular Vehicles Exempt from Federal Fuel Economy Standards Prior to 2011 Pickups SUVs Vans Manufacturer Model Chevrolet Avalanche 2500 Series ¾ Ton Silverado 2500/3500 Series Dodge RAM 2500/3500 Series Ford F-250/350 Series GMC Sierra 2500/3500 Series Manufacturer Model Chevrolet Suburban ¾ Ton* Ford Excursion§ GMC Yukon XL ¾ Ton* Hummer H1§ and H2§ Manufacturer Model Chevrolet Express 2500 Passenger* Express 3500 Cargo Ford E Series Passenger (w/ 6.8L Triton or 6.0L Diesel Engine)* E Series Cargo (w/ 6.8L Triton or 6.0L Diesel Engine) GMC Savanna 2500/3500 Passenger* Savanna 3500 Cargo Note: These vehicles are given as examples. This is not a comprehensive list. * No longer exempt as of 2011 § No longer made Manufacturers do not test every new vehicle offered for sale. They are only

300

Social Choice Theory Decision Models with Multiple Criteria  

E-Print Network [OSTI]

Social Choice Theory Decision Models with Multiple Criteria Elise Bonzon 2013-2014 LIPADE / 39 Social Choice Theory #12;Social choice theory Social choice theory Research of a mechanism Choice Theory #12;Social choice theory Social choice theory Research of a mechanism (electoral system

Bonzon, Elise

Note: This page contains sample records for the topic "vehicle choice 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

Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles  

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

1: November 29, 1: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 to someone by E-mail Share Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Facebook Tweet about Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Twitter Bookmark Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Google Bookmark Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Delicious Rank Vehicle Technologies Office: Fact #651: November 29, 2010 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 on Digg

302

Vehicle Technologies Office: Plug-in Electric Vehicle Basics  

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

Basics Basics Plug-in electric vehicles (PEVs), which include both plug-in hybrid electric vehicles and all-electric vehicles, use electricity as either their primary fuel or to improve efficiency. Commonly Used PEV Terms All-electric vehicle (AEV) - A vehicle with plug-in capability; driving energy comes entirely from its battery. Plug-in hybrid electric vehicle (PHEV) - A vehicle with plug-in capability; driving energy can come from either its battery or a liquid fuel like gasoline, diesel, or biofuels. Plug-in electric vehicle (PEV) - Any vehicle with plug-in capability. This includes AEVs and PHEVs. Hybrid electric vehicle (HEV) - A vehicle that has an electric drive system and battery but does not have plug-in capability; driving energy comes only from liquid fuel.

303

Manhattan Project: Difficult Choices, 1942  

Office of Scientific and Technical Information (OSTI)

"Met Lab" alumni at the University of Chicago -- Fermi is on the far left of the front row; Zinn is on Fermi's left; Anderson is on the far right of the front row; and Szilard is over Anderson's right shoulder. DIFFICULT CHOICES "Met Lab" alumni at the University of Chicago -- Fermi is on the far left of the front row; Zinn is on Fermi's left; Anderson is on the far right of the front row; and Szilard is over Anderson's right shoulder. DIFFICULT CHOICES (1942) Events More Uranium Research, 1942 More Piles and Plutonium, 1942 Enter the Army, 1942 Groves and the MED, 1942 Picking Horses, November 1942 Final Approval to Build the Bomb, December 1942 By early 1942, as the United States suffered a series of military defeats in the Pacific, top officials in Washington tentatively had decided to proceed with the construction of an atomic bomb. Two paths seemed possible. A uranium bomb could be achieved if sufficient uranium-235 could be produced by one or more of the three isotope separation methods under consideration: gaseous diffusion, centrifuge, and electromagnetic. A plutonium bomb might provide a quicker route, but it required demonstration that plutonium could be produced in a uranium pile and then be separated in usable quantities. To this end, Arthur Compton consolidated most plutonium research at the new Metallurgical Laboratory (Met Lab) at the University of Chicago.

304

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

305

Vehicle Technologies Office: Propulsion Systems  

Broader source: Energy.gov [DOE]

Vehicle Technologies Office research focuses much of its effort on improving vehicle fuel economy while meeting increasingly stringent emissions standards. Achieving these goals requires a...

306

Electric vehicles | Open Energy Information  

Open Energy Info (EERE)

vehicles Jump to: navigation, search TODO: add content Electric vehicles first came into existence in the mid-19th century, when electricity was among the preferred methods for...

307

Gasoline Ultra Fuel Efficient Vehicle  

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

Principal Investigator 13MY11 2011 DOE Vehicle Technologies Review Gasoline Ultra Fuel Efficient Vehicle ACE064 "This presentation does not contain any proprietary,...

308

Household Vehicles Energy Consumption 1991  

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

homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for...

309

Advanced Vehicle Electrification and Transportation Sector Electrifica...  

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

More Documents & Publications Advanced Vehicle Electrification and Transportation Sector Electrification Advanced Vehicle Electrification & Transportation Sector...

310

Vehicle Technologies Office Merit Review 2014: Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector Electrification  

Broader source: Energy.gov [DOE]

Presentation given by Smith Electric Vehicles at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about Smith Electric...

311

VEHICLE ACCESS PORTALS  

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

East Jemez Road (Map 1) East Jemez Road (Map 1) VEHICLE ACCESS PORTALS Traffic Lane 1: Closed except for emergencies and maintenance operations. Traffic Lanes 2-7: Drivers required to stop and present LANL badges or other form of valid identification to Protective Force officers. Drivers may proceed upon direction of the officers. Note: Commercial delivery vehicle drivers must also pres- ent their inspection passes from Post 10. More Information: spp-questions@lanl.gov Non-work Hours Vehicles entering LANL at the East Jemez VAPs during non-work hours (between 7

312

Vehicle Technologies Office: Ambassadors  

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

Ambassadors Ambassadors Workplace Charging Challenge Clean Cities Coalitions Clean Cities logo. Clean Cities National: A network of nearly 100 Clean Cities coalitions, supported by the Vehicle Technologies Office, brings together public and private stakeholders to deploy plug-in electric vehicles, alternative and renewable fuels, idle-reduction measures, fuel economy improvements, and other petroleum reduction strategies. Clean Cities coordinators are knowledgeable about local incentives and policies for workplace charging as well as other aspects of plug-in electric vehicle community readiness. Workplace Charging Challenge Ambassadors The Workplace Charging Challenge enlists stakeholder organizations as Ambassadors to promote and support workplace charging. The directory below highlights Workplace Charging Challenge Ambassadors across the country.

313

Blast resistant vehicle seat  

DOE Patents [OSTI]

Disclosed are various seats for vehicles particularly military vehicles that are susceptible to attack by road-bed explosive devices such as land mines or improvised explosive devices. The seats often have rigid seat shells and may include rigid bracing for rigidly securing the seat to the chassis of the vehicle. Typically embodiments include channels and particulate media such as sand disposed in the channels. A gas distribution system is generally employed to pump a gas through the channels and in some embodiments the gas is provided at a pressure sufficient to fluidize the particulate media when an occupant is sitting on the seat.

Ripley, Edward B

2013-02-12T23:59:59.000Z

314

Rapid road repair vehicle  

DOE Patents [OSTI]

Disclosed are improvments to a rapid road repair vehicle comprising an improved cleaning device arrangement, two dispensing arrays for filling defects more rapidly and efficiently, an array of pre-heaters to heat the road way surface in order to help the repair material better bond to the repaired surface, a means for detecting, measuring, and computing the number, location and volume of each of the detected surface imperfection, and a computer means schema for controlling the operation of the plurality of vehicle subsystems. The improved vehicle is, therefore, better able to perform its intended function of filling surface imperfections while moving over those surfaces at near normal traffic speeds.

Mara, Leo M. (Livermore, CA)

1999-01-01T23:59:59.000Z

315

Vehicle Technologies Office: 2009 DOE Hydrogen Program and Vehicle  

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

DOE Hydrogen DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting to someone by E-mail Share Vehicle Technologies Office: 2009 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Facebook Tweet about Vehicle Technologies Office: 2009 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Twitter Bookmark Vehicle Technologies Office: 2009 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Google Bookmark Vehicle Technologies Office: 2009 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Delicious Rank Vehicle Technologies Office: 2009 DOE Hydrogen Program and

316

Vehicle Technologies Office: 2010 DOE Hydrogen Program and Vehicle  

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

DOE Hydrogen DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting to someone by E-mail Share Vehicle Technologies Office: 2010 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Facebook Tweet about Vehicle Technologies Office: 2010 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Twitter Bookmark Vehicle Technologies Office: 2010 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Google Bookmark Vehicle Technologies Office: 2010 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Delicious Rank Vehicle Technologies Office: 2010 DOE Hydrogen Program and

317

Vehicle Technologies Office: 2011 DOE Hydrogen Program and Vehicle  

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

1 DOE Hydrogen 1 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting to someone by E-mail Share Vehicle Technologies Office: 2011 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Facebook Tweet about Vehicle Technologies Office: 2011 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Twitter Bookmark Vehicle Technologies Office: 2011 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Google Bookmark Vehicle Technologies Office: 2011 DOE Hydrogen Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting on Delicious Rank Vehicle Technologies Office: 2011 DOE Hydrogen Program and

318

Vehicle Technologies Office: Fact #233: September 9, 2002 Vehicles per  

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

3: September 9, 3: September 9, 2002 Vehicles per Thousand People: United States Compared with Other Countries to someone by E-mail Share Vehicle Technologies Office: Fact #233: September 9, 2002 Vehicles per Thousand People: United States Compared with Other Countries on Facebook Tweet about Vehicle Technologies Office: Fact #233: September 9, 2002 Vehicles per Thousand People: United States Compared with Other Countries on Twitter Bookmark Vehicle Technologies Office: Fact #233: September 9, 2002 Vehicles per Thousand People: United States Compared with Other Countries on Google Bookmark Vehicle Technologies Office: Fact #233: September 9, 2002 Vehicles per Thousand People: United States Compared with Other Countries on Delicious Rank Vehicle Technologies Office: Fact #233: September 9, 2002

319

Vehicle Technologies Office: Fact #750: October 22, 2012 Electric Vehicle  

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

0: October 22, 0: October 22, 2012 Electric Vehicle Energy Requirements for Combined City/Highway Driving to someone by E-mail Share Vehicle Technologies Office: Fact #750: October 22, 2012 Electric Vehicle Energy Requirements for Combined City/Highway Driving on Facebook Tweet about Vehicle Technologies Office: Fact #750: October 22, 2012 Electric Vehicle Energy Requirements for Combined City/Highway Driving on Twitter Bookmark Vehicle Technologies Office: Fact #750: October 22, 2012 Electric Vehicle Energy Requirements for Combined City/Highway Driving on Google Bookmark Vehicle Technologies Office: Fact #750: October 22, 2012 Electric Vehicle Energy Requirements for Combined City/Highway Driving on Delicious Rank Vehicle Technologies Office: Fact #750: October 22, 2012

320

vehicle | OpenEI  

Open Energy Info (EERE)

vehicle vehicle Dataset Summary Description Supplemental Tables 48-56 of EIA AEO 2011 Early Release Source EIA Date Released December 08th, 2010 (4 years ago) Date Updated Unknown Keywords AEO Annual Energy Outlook EIA Energy Information Administration light-duty sales TEF Transportation Energy Futures vehicle Data text/csv icon Light-Duty_Vehicle_Sales_by_Technology_Type.csv (csv, 1.1 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote

Note: This page contains sample records for the topic "vehicle choice 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

Vehicle Technologies Office: Benchmarking  

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

Benchmarking Benchmarking Research funded by the Vehicle Technologies Office produces a great deal of valuable data, but it is important to compare those research results with similar work done elsewhere in the world. Through laboratory testing, researchers can compare vehicles and components to validate models, support technical target-setting, and provide data to help guide technology development tasks. Benchmarking activities fall into two primary areas: Vehicle and component testing, in which researchers test and analyze emerging technologies obtained from sources throughout the world. The results are used to continually assess program efforts. Model validation, in which researchers use test data to validate the accuracy of vehicle and component computer models including: overall measures such as fuel economy, state-of-charge energy storage across the driving cycle, and transient component behavior, such as fuel rate and torque.

322

Advanced Vehicle Testing & Evaluation  

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

Toyota Prius Plug-in 2013 Ford C-Max Hybrid 2013 Ford C-Max Energi 2013 Ford Fusion Energi 2014 VW Jetta Hybrid 2013 FLEET TEST VEHICLES 2 Honda CR-Z HEV 2...

323

Vehicle Technologies Office: Power Electronics  

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

Power Electronics to Power Electronics to someone by E-mail Share Vehicle Technologies Office: Power Electronics on Facebook Tweet about Vehicle Technologies Office: Power Electronics on Twitter Bookmark Vehicle Technologies Office: Power Electronics on Google Bookmark Vehicle Technologies Office: Power Electronics on Delicious Rank Vehicle Technologies Office: Power Electronics on Digg Find More places to share Vehicle Technologies Office: Power Electronics on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Advanced Power Electronics & Electrical Machines Power Electronics Electrical Machines Thermal Control & System Integration Advanced Combustion Engines Fuels & Lubricants Materials Technologies Power Electronics The power electronics activity focuses on research and development (R&D)

324

Vehicle Technologies Office: Electrical Machines  

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

Electrical Machines to Electrical Machines to someone by E-mail Share Vehicle Technologies Office: Electrical Machines on Facebook Tweet about Vehicle Technologies Office: Electrical Machines on Twitter Bookmark Vehicle Technologies Office: Electrical Machines on Google Bookmark Vehicle Technologies Office: Electrical Machines on Delicious Rank Vehicle Technologies Office: Electrical Machines on Digg Find More places to share Vehicle Technologies Office: Electrical Machines on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Advanced Power Electronics & Electrical Machines Power Electronics Electrical Machines Thermal Control & System Integration Advanced Combustion Engines Fuels & Lubricants Materials Technologies Electrical Machines Emphasis in the electrical machines activity is on advanced motor

325

Vehicle Technologies Office: Deployment  

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

Deployment Deployment Our nation's energy security depends on the efficiency of our transportation system and on which fuels we use. Transportation in the United States already consumes much more oil than we produce here at home and the situation is getting worse. Domestic oil production has been dropping steadily for over 20 years, and experts predict that by 2025, about 70% of our oil will be imported. The U.S. Department of Energy's (DOE's) Vehicle Technologies Office supports research and development (R&D) that will lead to new technologies that reduce our nation's dependence on imported oil, further decrease vehicle emissions, and serve as a bridge from today's conventional powertrains and fuels to tomorrow's hydrogen-powered hybrid fuel cell vehicles. The Vehicle Technologies Office also supports implementation programs that help to transition alternative fuels and vehicles into the marketplace, as well as collegiate educational activities to help encourage engineering and science students to pursue careers in the transportation sector. Following are some of the activities that complement the Vehicle Technologies Office's mission.

326

Vehicle Technologies Office Merit Review 2014: Smith Electric...  

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

Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector Electrification Vehicle Technologies Office Merit Review 2014: Smith Electric Vehicles: Advanced...

327

Hybrid and Plug-In Electric Vehicles (Brochure), Vehicle Technologies Program (VTP)  

Broader source: Energy.gov [DOE]

Describes the basics of electric-drive vehicles, including hybrid electric vehicles, plug-in hybrid electric vehicles, all-electric vehicles, and the various charging options.

328

Discrete Choice Analysis: Hydrogen FCV Demand Potential  

Broader source: Energy.gov [DOE]

Presentation by Cory Welch at the 2010-2025 Scenario Analysis for Hydrogen Fuel Cell Vehicles and Infrastructure meeting on January 31, 2007.

329

AVTA: 2010 Electric Vehicles International Neighborhood Electric Vehicle Testing Results  

Broader source: Energy.gov [DOE]

The Vehicle Technologies Office's Advanced Vehicle Testing Activity carries out testing on a wide range of advanced vehicles and technologies on dynamometers, closed test tracks, and on-the-road. These results provide benchmark data that researchers can use to develop technology models and guide future research and development. The following reports describe testing results of the 2010 Electric Vehicles International neighborhood electric vehicle. Neighborhood electric vehicles reach speeds of no more than 35 miles per hour and are only allowed on roads with speed limits of up to 35 miles per hour. This research was conducted by Idaho National Laboratory.

330

Hydrogen as a fuel for fuel cell vehicles: A technical and economic comparison  

SciTech Connect (OSTI)

All fuel cells currently being developed for near term use in vehicles require hydrogen as a fuel. Hydrogen can be stored directly or produced onboard the vehicle by reforming methanol, ethanol or hydrocarbon fuels derived from crude oil (e.g., Diesel, gasoline or middle distillates). The vehicle design is simpler with direct hydrogen storage, but requires developing a more complex refueling infrastructure. In this paper, the authors compare three leading options for fuel storage onboard fuel cell vehicles: compressed gas hydrogen storage; onboard steam reforming of methanol; onboard partial oxidation (POX) of hydrocarbon fuels derived from crude oil. Equilibrium, kinetic and heat integrated system (ASPEN) models have been developed to estimate the performance of onboard steam reforming and POX fuel processors. These results have been incorporated into a fuel cell vehicle model, allowing us to compare the vehicle performance, fuel economy, weight, and cost for various fuel storage choices and driving cycles. A range of technical and economic parameters were considered. The infrastructure requirements are also compared for gaseous hydrogen, methanol and hydrocarbon fuels from crude oil, including the added costs of fuel production, storage, distribution and refueling stations. Considering both vehicle and infrastructure issues, the authors compare hydrogen to other fuel cell vehicle fuels. Technical and economic goals for fuel cell vehicle and hydrogen technologies are discussed. Potential roles for hydrogen in the commercialization of fuel cell vehicles are sketched.

Ogden, J.; Steinbugler, M.; Kreutz, T. [Princeton Univ., NJ (United States). Center for Energy and Environmental Studies

1997-12-31T23:59:59.000Z

331

Drive Cycle Powertrain Efficiencies and Trends Derived From EPA Vehicle Dynamometer Results  

SciTech Connect (OSTI)

Vehicle manufacturers among others are putting great emphasis on improving fuel economy (FE) of light-duty vehicles in the U.S. market, with significant FE gains being realized in recent years. The U.S. Environmental Protection Agency (EPA) data indicates that the aggregate FE of vehicles produced for the U.S. market has improved by over 20% from model year (MY) 2005 to 2013. This steep climb in FE includes changes in vehicle choice, improvements in engine and transmission technology, and reducing aerodynamic drag, rolling resistance, and parasitic losses. The powertrain related improvements focus on optimizing in-use efficiency of the transmission and engine as a system, and may make use of what is termed downsizing and/or downspeeding. This study explores quantifying recent improvements in powertrain efficiency, viewed separately from other vehicle alterations and attributes (noting that most vehicle changes are not completely independent). A methodology is outlined to estimate powertrain efficiency for the U.S city and highway cycle tests using data from the EPA vehicle database. Comparisons of common conventional gasoline powertrains for similar MY 2005 and 2013 vehicles are presented, along with results for late-model hybrid electric vehicles, the Nissan Leaf, Chevy Volt and other selected vehicles.

Thomas, John F [ORNL

2014-01-01T23:59:59.000Z

332

Vehicle Technologies Office: Energy Storage  

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

Energy Storage Energy Storage Improving the batteries for electric drive vehicles, including hybrid electric (HEV) and plug-in electric (PEV) vehicles, is key to improving vehicles' economic, social, and environmental sustainability. In fact, transitioning to a light-duty fleet of HEVs and PEVs could reduce U.S. foreign oil dependence by 30-60% and greenhouse gas emissions by 30-45%, depending on the exact mix of technologies. For a general overview of electric drive vehicles, see the DOE's Alternative Fuel Data Center's pages on Hybrid and Plug-in Electric Vehicles and Vehicle Batteries. While a number of electric drive vehicles are available on the market, further improvements in batteries could make them more affordable and convenient to consumers. In addition to light-duty vehicles, some heavy-duty manufacturers are also pursuing hybridization of medium and heavy-duty vehicles to improve fuel economy and reduce idling.

333

Vehicle Technologies Office: 2013 Archive  

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

3 Archive to someone 3 Archive to someone by E-mail Share Vehicle Technologies Office: 2013 Archive on Facebook Tweet about Vehicle Technologies Office: 2013 Archive on Twitter Bookmark Vehicle Technologies Office: 2013 Archive on Google Bookmark Vehicle Technologies Office: 2013 Archive on Delicious Rank Vehicle Technologies Office: 2013 Archive on Digg Find More places to share Vehicle Technologies Office: 2013 Archive on AddThis.com... 2013 Archive #810 Leasing on the Rise December 30, 2013 #809 What Do We Pay for in a Gallon of Gasoline? December 23, 2013 #808 Declining Use of Six- and Eight-Cylinder Engines December 16, 2013 #807 Light Vehicle Weights Leveling Off December 9, 2013 #806 Light Vehicle Market Shares, Model Years 1975-2012 December 2, 2013 #805 Vehicle Technology Penetration November 25, 2013

334

Advanced Vehicle Testing Activity: Overview  

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

Overview to Overview to someone by E-mail Share Advanced Vehicle Testing Activity: Overview on Facebook Tweet about Advanced Vehicle Testing Activity: Overview on Twitter Bookmark Advanced Vehicle Testing Activity: Overview on Google Bookmark Advanced Vehicle Testing Activity: Overview on Delicious Rank Advanced Vehicle Testing Activity: Overview on Digg Find More places to share Advanced Vehicle Testing Activity: Overview on AddThis.com... Home Overview Light-Duty Vehicles Medium- and Heavy-Duty Vehicles Publications Overview The marketplace for advanced transportation technologies and the focus, direction, and funding of transportation programs are continually changing. The Advanced Vehicle Testing Activity's "2005 Overview of Advanced Technology Transportation" (PDF 736 KB) gives the latest information about

335

Vehicle Technologies Office: 2009 Archive  

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

9 Archive to someone 9 Archive to someone by E-mail Share Vehicle Technologies Office: 2009 Archive on Facebook Tweet about Vehicle Technologies Office: 2009 Archive on Twitter Bookmark Vehicle Technologies Office: 2009 Archive on Google Bookmark Vehicle Technologies Office: 2009 Archive on Delicious Rank Vehicle Technologies Office: 2009 Archive on Digg Find More places to share Vehicle Technologies Office: 2009 Archive on AddThis.com... 2009 Archive #603 Where Does Lithium Come From? December 28, 2009 #602 Freight Statistics by Mode, 2007 Commodity Flow Survey December 21, 2009 #601 World Motor Vehicle Production December 14, 2009 #600 China Produced More Vehicles than the U.S. in 2008 December 7, 2009 #599 Historical Trend for Light Vehicle Sales November 30, 2009

336

Initial investment choice and optimal future allocations  

E-Print Network [OSTI]

Initial investment choice and optimal future allocations M. Musielay and T. Zariphopoulouz March 21 knowledge of an investor's desirable initial investment choice can be used to determine his future optimal portfolio allocations. Optimality of investment decisions is built on forward investment perfor- mance

Zariphopoulou, Thaleia

337

Social Influences on Rat Spatial Choice Social Influences on Rat Spatial Choice  

E-Print Network [OSTI]

of spatial working memory paradigms using pairs of laboratory rats foraging together for food depleted of food by the other rat. The latter effect is based on working memory for the choices madeSocial Influences on Rat Spatial Choice Social Influences on Rat Spatial Choice Michael F. Brown

Cook, Robert

338

Energy 101: Lighting Choices | Department of Energy  

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

101: Lighting Choices 101: Lighting Choices Energy 101: Lighting Choices August 13, 2013 - 2:38pm Addthis Learn about energy-efficient light bulbs that can light your home for less money. For many years, researchers have been working on new lighting options that produce the same light with less energy. Many of those designs are now on the market. This edition of Energy 101 features newer energy-saving light bulbs that provide the choices in colors and light levels you've come to expect, but with higher efficiencies-so they save you money. Upgrading 15 of the inefficient incandescent light bulbs in your home to energy-saving incandescent, compact fluorescent lamp (CFL), or light emitting diode (LED) bulbs could save you about $50 per year. For more information on lighting choices from the Office of Energy

339

Energy 101: Lighting Choices | Department of Energy  

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

Lighting Choices Lighting Choices Energy 101: Lighting Choices Addthis Below is the text version for the Energy 101: Lighting Choices video: The video opens with "Energy 101: Lighting Choices." This is followed by shots of a variety of lamps being turned on. We're all used to lighting up dark spaces with the flip of a switch. In fact, people have been doing so since Thomas Edison invented the incandescent light bulb about 130 years ago...and we've used that same old bulb ever since. The video shows a store aisle with a diverse light bulb selection, then moves to close-ups of the packaging labels on various bulbs. Today you'll see more light bulb options in stores. These bulbs will give you the light you want while saving you energy...and money. A hand screws in a light bulb and flips the switch. The bulb is shown in

340

Energy 101: Lighting Choices | Department of Energy  

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

Energy 101: Lighting Choices Energy 101: Lighting Choices Energy 101: Lighting Choices August 13, 2013 - 2:38pm Addthis Learn about energy-efficient light bulbs that can light your home for less money. For many years, researchers have been working on new lighting options that produce the same light with less energy. Many of those designs are now on the market. This edition of Energy 101 features newer energy-saving light bulbs that provide the choices in colors and light levels you've come to expect, but with higher efficiencies-so they save you money. Upgrading 15 of the inefficient incandescent light bulbs in your home to energy-saving incandescent, compact fluorescent lamp (CFL), or light emitting diode (LED) bulbs could save you about $50 per year. For more information on lighting choices from the Office of Energy

Note: This page contains sample records for the topic "vehicle choice 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

Vehicles | Department of Energy  

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

Vehicles Vehicles Vehicles In the first half of 2013, Americans doubled the number of PEVs they purchased compared to the same period in 2012, and this summer, PEV sales reached a new record high. More than 11,000 PEVs were sold in August 2013 -- that's a 29 percent improvement in sales over the previous monthly record. Learn now about the clean technology revolution that is here today. In the first half of 2013, Americans doubled the number of PEVs they purchased compared to the same period in 2012, and this summer, PEV sales reached a new record high. More than 11,000 PEVs were sold in August 2013 -- that's a 29 percent improvement in sales over the previous monthly record. Learn now about the clean technology revolution that is here today.

342

US Ethanol Vehicle Coalition | Open Energy Information  

Open Energy Info (EERE)

Ethanol Vehicle Coalition Jump to: navigation, search Name: US Ethanol Vehicle Coalition Place: Jefferson City, Missouri Zip: 65109 Product: The National Ethanol Vehicle Coalition...

343

Renewable Fuel Vehicles | Open Energy Information  

Open Energy Info (EERE)

Vehicles Jump to: navigation, search TODO: Add description List of Renewable Fuel Vehicles Incentives Retrieved from "http:en.openei.orgwindex.php?titleRenewableFuelVehicles...

344

The Evolution of Sustainable Personal Vehicles  

E-Print Network [OSTI]

energy resource conversion (NREL, 2004). Sustainable Vehicle Energy StorageEnergy, Fuel, & Vehicle Technologies.41 Introduction41 Sustainable Energy Resources..42 Sustainable Vehicle Energy Storage..43 Sustainable

Jungers, Bryan D

2009-01-01T23:59:59.000Z

345

American Electric Vehicles Inc | Open Energy Information  

Open Energy Info (EERE)

Inc Jump to: navigation, search Name: American Electric Vehicles Inc Place: Palmer Lake, Colorado Zip: 80133 Sector: Vehicles Product: American Electric Vehicles (AEV) builds high...

346

Advanced Electric Drive Vehicle Education Program | Department...  

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

Advanced Electric Drive Vehicle Education Program Advanced Electric Drive Vehicle Education Program 2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer...

347

Miles Electric Vehicles | Open Energy Information  

Open Energy Info (EERE)

Miles Electric Vehicles Jump to: navigation, search Name: Miles Electric Vehicles Place: Santa Monica, California Zip: 90405 Sector: Vehicles Product: California-based developer of...

348

Specialty Vehicles and Material Handling Equipment  

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

fuel cell vehicles Hydrogen fuel cell vehicles Hydrogen fuel cell vehicles have no GHG emissions have no GHG emissions have no GHG emissions have no GHG emissions GHG...

349

Vehicle & Systems Simulation & Testing | Department of Energy  

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

Vehicle & Systems Simulation & Testing Vehicle & Systems Simulation & Testing 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and...

350

Advanced Vehicle Testing & Evaluation | Department of Energy  

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

Evaluation vss029karner2011o.pdf More Documents & Publications Advanced Vehicle Testing & Evaluation Vehicle Technologies Office: 2010 Vehicle and Systems Simulation and...

351

Advanced Vehicle Testing & Evaluation | Department of Energy  

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

Vehicle Testing & Evaluation Advanced Vehicle Testing & Evaluation 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

352

Vehicle Technologies Office: National Laboratories | Department...  

Office of Environmental Management (EM)

Technology R&D Center at Argonne National Laboratory Vehicles Home About Vehicle Technologies Office Plug-in Electric Vehicles & Batteries Fuel Efficiency & Emissions...

353

Large Scale Tracked Vehicle Concurrent Engineering Environment  

Science Journals Connector (OSTI)

In this paper, a fully integrated Tracked Vehicle Concurrent Engineering environment that exploits CAD and CAE technologies in ... vehicles is presented. The Tracked Vehicle Concurrent Engineering environment com...

Kyung K. Choi; J. Kirk Wu; Kuang-Hua Chang; Jun Tang…

1995-01-01T23:59:59.000Z

354

Hydrogen Vehicle and Infrastructure Demonstration and Validation...  

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

Vehicle and Infrastructure Demonstration and Validation Hydrogen Vehicle and Infrastructure Demonstration and Validation 2009 DOE Hydrogen Program and Vehicle Technologies Program...

355

Vehicle Technologies Office Merit Review 2014: Thermoelectric...  

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

Thermoelectric Waste Heat Recovery Program for Passenger Vehicles Vehicle Technologies Office Merit Review 2014: Thermoelectric Waste Heat Recovery Program for Passenger Vehicles...

356

Commercial Vehicle Safety Alliance | Department of Energy  

Office of Environmental Management (EM)

Commercial Vehicle Safety Alliance Commercial Vehicle Safety Alliance Commercial Vehicle Safety Alliance More Documents & Publications North American Standard Level VI Inspection...

357

Vehicle Technologies Office: Active Solicitations  

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

Active Solicitations to Active Solicitations to someone by E-mail Share Vehicle Technologies Office: Active Solicitations on Facebook Tweet about Vehicle Technologies Office: Active Solicitations on Twitter Bookmark Vehicle Technologies Office: Active Solicitations on Google Bookmark Vehicle Technologies Office: Active Solicitations on Delicious Rank Vehicle Technologies Office: Active Solicitations on Digg Find More places to share Vehicle Technologies Office: Active Solicitations on AddThis.com... Active Solicitations To explore current financial opportunity solicitations, click on the opportunity titles in the table below. To sort the list, click on the arrows in the column headings. Technology Solicitation Title Open Date Close Date Hydrogen and Fuel Cells Research and Development for Hydrogen Storage

358

NREL: Vehicles and Fuels Research - Electric Vehicle Grid Integration  

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

Electric Vehicle Grid Integration Project Electric Vehicle Grid Integration Project Plug-in electric vehicle charging at NREL. PEV charging in the VTIF. Photo by Dennis Schroeder, NREL/PIX 19758 The Electric Vehicle Grid Integration Project supports the development and implementation of electrified transportation systems, particularly those that integrate renewable-based vehicle charging systems. Plug-in electric vehicles (PEVs)-including all-electric vehicles and plug-in hybrid electric vehicles (PHEVs)-provide a new opportunity to reduce oil consumption by drawing on power from the electric grid. To maximize the benefits of PEVs, the emerging PEV infrastructure must provide access to clean electricity generated from renewable sources, satisfy driver expectations, and ensure safety. Value creation from systems

359

New Vehicle Choices, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and Gasoline Tax  

E-Print Network [OSTI]

An Analysis of Hybrid Tax Credits and the Gasoline TaxAn Analysis of Hybrid Tax Credits and the Gasoline Tax byAn Analysis of Hybrid Tax Credits and the Gasoline Tax by

Martin, Elliot William

2009-01-01T23:59:59.000Z

360

New Vehicle Choice, Fuel Economy and Vehicle Incentives: An Analysis of Hybrid Tax Credits and the Gasoline Tax  

E-Print Network [OSTI]

An Analysis of Hybrid Tax Credits and the Gasoline TaxAn Analysis of Hybrid Tax Credits and the Gasoline Tax byAn Analysis of Hybrid Tax Credits and the Gasoline Tax by

Martin, Elliott William

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicle choice 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

Electric Drive Vehicle Demonstration and Vehicle Infrastructure Evaluation  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

362

Vehicle Mass Impact on Vehicle Losses and Fuel Economy  

Broader source: Energy.gov [DOE]

2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

363

Vehicle Mass Impact on Vehicle Losses and Fuel Economy  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

364

Electric Drive Vehicle Demonstration and Vehicle Infrastructure Evaluation  

Broader source: Energy.gov [DOE]

2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

365

Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector Electrification  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

366

Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector Electrification  

Broader source: Energy.gov [DOE]

2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation

367

Smith Electric Vehicles: Advanced Vehicle Electrification + Transportation Sector Electrification  

Broader source: Energy.gov [DOE]

2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

368

Control device for vehicle speed  

SciTech Connect (OSTI)

This patent describes a control device for vehicle speed comprising: a throttle driving means operatively coupled to a throttle valve of a vehicle; a set switch means for commanding memorization of the vehicle speed; a resume switch means for commanding read of the vehicle speed; a vehicle speed detecting means for generating a signal in accordance with the vehicle speed; a vehicle speed memory; an electronical control means for memorizing in the vehicle speed memory vehicle speed information corresponding to the signal obtained from the vehicle speed detecting means in response to actuation of the set switch means. The control means is also for reading out the content of the vehicle speed memory in response to actuation of the resume switch means to control the throttle driving means in accordance with the read-out content; a power supply means for supplying power to the electronical control means; and a power supply control switch means for controlling supply of power to the electronical control means in response to the state of at least one of the set switch means and the resume switch means and the state of the electronical control means. The improvement described here comprises the electronical control means sets the power supply control switch means into such a state that supply of power to the electronical control means is turned OFF, when vehicle speed information is not memorized in the vehicle speed memory.

Kawata, S.; Hyodo, H.

1987-03-03T23:59:59.000Z

369

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

370

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

371

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

372

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

373

Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight  

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

1: May 3, 2010 1: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight to someone by E-mail Share Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Facebook Tweet about Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Twitter Bookmark Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Google Bookmark Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Delicious Rank Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on Digg Find More places to share Vehicle Technologies Office: Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight on AddThis.com...

374

Vehicle Technologies Office: 2010 Archive  

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

0 Archive to someone 0 Archive to someone by E-mail Share Vehicle Technologies Office: 2010 Archive on Facebook Tweet about Vehicle Technologies Office: 2010 Archive on Twitter Bookmark Vehicle Technologies Office: 2010 Archive on Google Bookmark Vehicle Technologies Office: 2010 Archive on Delicious Rank Vehicle Technologies Office: 2010 Archive on Digg Find More places to share Vehicle Technologies Office: 2010 Archive on AddThis.com... 2010 Archive #655 New Freight Analysis Tool December 27, 2010 #654 New Light Vehicle Leasing is Big in 2010 December 20, 2010 #653 Import Cars and Trucks Gaining Ground December 13, 2010 #652 U.S. Crude Oil Production Rises December 6, 2010 #651 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 November 29, 2010 #650 Diesel Fuel Prices hit a Two-Year High November 22, 2010

375

Vehicle Technologies Office: 2006 Archive  

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

6 Archive to someone 6 Archive to someone by E-mail Share Vehicle Technologies Office: 2006 Archive on Facebook Tweet about Vehicle Technologies Office: 2006 Archive on Twitter Bookmark Vehicle Technologies Office: 2006 Archive on Google Bookmark Vehicle Technologies Office: 2006 Archive on Delicious Rank Vehicle Technologies Office: 2006 Archive on Digg Find More places to share Vehicle Technologies Office: 2006 Archive on AddThis.com... 2006 Archive #449 Biodiesel to Conventional Diesel: An Emissions Comparison December 25, 2006 #448 Fuel Purchasing Habits December 18, 2006 #447 World Ethanol Production December 11, 2006 #446 More Likely to Buy a Hybrid or Other More Fuel Efficient Vehicle? December 4, 2006 #445 U.S. Population Growth and Light Vehicle Sales November 27, 2006

376

Vehicle Technologies Office: 2011 Archive  

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

1 Archive to someone 1 Archive to someone by E-mail Share Vehicle Technologies Office: 2011 Archive on Facebook Tweet about Vehicle Technologies Office: 2011 Archive on Twitter Bookmark Vehicle Technologies Office: 2011 Archive on Google Bookmark Vehicle Technologies Office: 2011 Archive on Delicious Rank Vehicle Technologies Office: 2011 Archive on Digg Find More places to share Vehicle Technologies Office: 2011 Archive on AddThis.com... 2011 Archive #707 Illustration of Truck Classes December 26, 2011 #706 Vocational Vehicle Fuel Consumption Standards December 19, 2011 #705 Fuel Consumption Standards for Combination Tractors December 12, 2011 #704 Fuel Consumption Standards for New Heavy Pickups and Vans December 5, 2011 #703 Hybrid Vehicles Lose Market Share in 2010 November 28, 2011

377

Electric Vehicle Smart Charging Infrastructure  

E-Print Network [OSTI]

Vehicles on the US Power Grid." The 25th World Battery,infrastructure assignment and power grid impacts assessmentfrom the vehicle to the power grid and overcome its current

Chung, Ching-Yen

2014-01-01T23:59:59.000Z

378

Household vehicles energy consumption 1991  

SciTech Connect (OSTI)

The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted during 1991 and early 1992. The 1991 RTECS represents 94.6 million households, of which 84.6 million own or have access to 151.2 million household motor vehicles in the 50 States and the District of Columbia.

Not Available

1993-12-09T23:59:59.000Z

379

Household Vehicles Energy Consumption 1991  

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

Aggregate Aggregate Ratio: See Mean and Ratio Estimate. AMPD: Average miles driven per day. See Appendix B, "Estimation Methodologies." Annual Vehicle Miles Traveled: See Vehicle Miles Traveled. Automobile: Includes standard passenger car, 2-seater car and station wagons; excludes passenger vans, cargo vans, motor homes, pickup trucks, and jeeps or similar vehicles. See Vehicle. Average Household Energy Expenditures: A ratio estimate defined as the total household energy expenditures for all RTECS households divided by the total number of households. See Ratio Estimate, and Combined Household Energy Expenditures. Average Number of Vehicles per Household: The average number of vehicles used by a household for personal transportation during 1991. For this report, the average number of vehicles per household is computed as the ratio of the total number of vehicles to the

380

VEHICLE TECHNOLOGIES PROGRAM Electric Vehicle Preparedness  

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

2: Identification 2: Identification of Joint Base Lewis McChord Vehicles for Installation of Data Loggers June 2013 Prepared for: Joint Base Lewis McChord Prepared by: Idaho National Laboratory and ECOtality North America DISCLAIMER This information was prepared as an account of work sponsored by an agency of the U.S. Government. Neither the U.S. Government nor any agency thereof, nor any of their employees, makes any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness, of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. References herein to any specific commercial product, process, or service by trade name, trade mark, manufacturer, or otherwise,

Note: This page contains sample records for the topic "vehicle choice 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

Advancing Next-Generation Vehicles  

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

the U.S. Department of Energy's (DOE's) lead laboratory for researching advanced vehicle technologies, including hy- the U.S. Department of Energy's (DOE's) lead laboratory for researching advanced vehicle technologies, including hy- brid, plug-in hybrid, battery electric, and alternative fuel vehicles, Argonne provides transportation research critical to advancing the development of next-generation vehicles. Central to this effort is the Lab's Advanced Powertrain Research Facility (APRF), an integrated four-wheel drive chassis dynamometer and component test facility.

382

Gasoline Ultra Fuel Efficient Vehicle  

Broader source: Energy.gov [DOE]

2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting

383

A Comparative Study on Emerging Electric Vehicle Technology Assessments  

SciTech Connect (OSTI)

Numerous organizations have published reports in recent years that investigate the ever changing world of electric vehicle (EV) technologies and their potential effects on society. Specifically, projections have been made on greenhouse gas (GHG) emissions associated with these vehicles and how they compare to conventional vehicles or hybrid electric vehicles (HEVs). Similar projections have been made on the volumes of oil that these vehicles can displace by consuming large amounts of grid electricity instead of petroleum-based fuels. Finally, the projected rate that these new vehicle fleets will enter the market varies significantly among organizations. New ideas, technologies, and possibilities are introduced often, and projected values are likely to be refined as industry announcements continue to be made. As a result, over time, a multitude of projections for GHG emissions, oil displacement, and market penetration associated with various EV technologies has resulted in a wide range of possible future outcomes. This leaves the reader with two key questions: (1) Why does such a collective range in projected values exist in these reports? (2) What assumptions have the greatest impact on the outcomes presented in these reports? Since it is impractical for an average reader to review and interpret all the various vehicle technology reports published to date, Sentech Inc. and the Oak Ridge National Laboratory have conducted a comparative study to make these interpretations. The primary objective of this comparative study is to present a snapshot of all major projections made on GHG emissions, oil displacement, or market penetration rates of EV technologies. From the extensive data found in relevant publications, the key assumptions that drive each report's analysis are identified and 'apples-to-apples' comparisons between all major report conclusions are attempted. The general approach that was taken in this comparative study is comprised of six primary steps: (1) Search Relevant Literature - An extensive search of recent analyses that address the environmental impacts, market penetration rates, and oil displacement potential of various EV technologies was conducted; (2) Consolidate Studies - Upon completion of the literature search, a list of analyses that have sufficient data for comparison and that should be included in the study was compiled; (3) Identify Key Assumptions - Disparity in conclusions very likely originates from disparity in simple assumptions. In order to compare 'apples-to-apples,' key assumptions were identified in each study to provide the basis for comparing analyses; (4) Extract Information - Each selected report was reviewed, and information on key assumptions and data points was extracted; (5) Overlay Data Points - Visual representations of the comprehensive conclusions were prepared to identify general trends and outliers; and (6) Draw Final Conclusions - Once all comparisons are made to the greatest possible extent, the final conclusions were draw on what major factors lead to the variation in results among studies.

Ford, Jonathan [Sentech, Inc.; Khowailed, Gannate [Sentech, Inc.; Blackburn, Julia [Sentech, Inc.; Sikes, Karen [Sentech, Inc.

2011-03-01T23:59:59.000Z

384

Electric-Drive Vehicle engineering  

E-Print Network [OSTI]

Electric-Drive Vehicle engineering COLLEGE of ENGINEERING Electric-drive engineers for 80 years t Home to nation's first electric-drive vehicle engineering program and alternative-credit EDGE Engineering Entrepreneur Certificate Program is a great addition to an electric-drive vehicle

Berdichevsky, Victor

385

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

386

Advanced Vehicle Electrification & Transportation Sector Electrificati...  

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

& Transportation Sector Electrification Advanced Vehicle Electrification & Transportation Sector Electrification 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies...

387

Advanced Vehicle Electrification and Transportation Sector Electrifica...  

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

More Documents & Publications Advanced Vehicle Electrification and Transportation Sector Electrification Plug-in Hybrid (PHEV) Vehicle Technology Advancement and...

388

Program Record 13006 (Offices of Vehicle Technologies and Fuel Cell Technologies: Life-Cycle Costs of Mid-Size Light-Duty Vehicles  

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

Program Record (Offices of Vehicle Technologies & Fuel Cell Program Record (Offices of Vehicle Technologies & Fuel Cell Technologies) Record #: 13006 Date: April 24, 2013 Title: Life-cycle Costs of Mid-Size Light-Duty Vehicles Originator: Tien Nguyen & Jake Ward Approved by: Sunita Satyapal Pat Davis Date: April 25, 2013 Items: DOE is pursuing a portfolio of technologies with the potential to significantly reduce greenhouse gases (GHG) emissions and petroleum consumption while being cost-effective. This record documents the assumptions and results of analyses conducted to estimate the life-cycle costs resulting from several fuel/vehicle pathways, for a future mid-size car. The results are summarized graphically in the following figure. Costs of Operation for Future Mid-Size Car

389

NREL: Vehicle Systems Analysis - Plug-In Hybrid Electric Vehicles  

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

Plug-In Hybrid Electric Vehicles Plug-In Hybrid Electric Vehicles NREL's vehicle systems analysts work to advance the technology of plug-in hybrid electric vehicles (PHEVs), also known as grid-connected or grid-charged hybrids. Technology Targets and Metrics Analysis We use our Technical Targets Tool to determine pathways for maximizing the potential national impact of plug-in hybrid electric vehicles. This assessment includes consideration of how consumers will value the new vehicle technology based on attributes such as: Acceleration Fuel economy and consumption Cargo capacity Cost. We use the resulting competitiveness index to predict the vehicle's market penetration rate. Then, we can create a total national benefits picture after adding in other factors such as: Existing fleet turnover

390

Renewble Choice Energy | Open Energy Information  

Open Energy Info (EERE)

Renewble Choice Energy Renewble Choice Energy Jump to: navigation, search Logo: Renewble Choice Energy Name Renewble Choice Energy Address 2500 55th Street, Suite 210 Place Boulder, Colorado Zip 80301 Sector Carbon Product Provides RECs, VERs and green power to LEED certified projects Website http://www.renewablechoice.com Coordinates 40.0251°, -105.223585° 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":40.0251,"lon":-105.223585,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

391

Fuel Economy: What Drives Consumer Choice?  

E-Print Network [OSTI]

S. Kurani, “Car Buyers and Fuel Economy? ” Energy Policy,Fuel Economy: What Drives Consumer Choice? BY TOMa car, do they think about fuel costs over time, are they

Turrentine, Tom; Kurani, Kenneth; Heffner, Rusty

2007-01-01T23:59:59.000Z

392

Independent choices in Margaret Atwood's novels  

E-Print Network [OSTI]

INDEPENDENT CHOICES IN MARGARET ATWOOD'S NOVELS A Thesis by MICHELE WELLS McAVOY Submitted to the Office of Graduate Studies of Texas ARM University in partial fulfillment of the requirements for the degree of MASTER OF ARTS December 1996... Major Subject: English INDEPENDENT CHOICES IN MARGARET ATWOOD'S NOVELS A Thesis by MICHELE WELLS McAVOY Submitted to Texas A&M University in partial fulfillment of the requirement for the degree of MASTER OF ARTS Approved as to style...

McAvoy, Michele Wells

2012-06-07T23:59:59.000Z

393

Household vehicles energy consumption 1994  

SciTech Connect (OSTI)

Household Vehicles Energy Consumption 1994 reports on the results of the 1994 Residential Transportation Energy Consumption Survey (RTECS). The RTECS is a national sample survey that has been conducted every 3 years since 1985. For the 1994 survey, more than 3,000 households that own or use some 6,000 vehicles provided information to describe vehicle stock, vehicle-miles traveled, energy end-use consumption, and energy expenditures for personal vehicles. The survey results represent the characteristics of the 84.9 million households that used or had access to vehicles in 1994 nationwide. (An additional 12 million households neither owned or had access to vehicles during the survey year.) To be included in then RTECS survey, vehicles must be either owned or used by household members on a regular basis for personal transportation, or owned by a company rather than a household, but kept at home, regularly available for the use of household members. Most vehicles included in the RTECS are classified as {open_quotes}light-duty vehicles{close_quotes} (weighing less than 8,500 pounds). However, the RTECS also includes a very small number of {open_quotes}other{close_quotes} vehicles, such as motor homes and larger trucks that are available for personal use.

NONE

1997-08-01T23:59:59.000Z

394

Vehicles News | Department of Energy  

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

July 14, 2010 July 14, 2010 Department of Energy Releases New Report on Economic Impact of Recovery Act Advanced Vehicle Investments Report Finds Recovery Act Advanced Vehicle Projects Are Creating Jobs, Spurring Private Capital Investment and Cutting Electric Vehicle Cost May 26, 2010 Deputy Secretary Poneman Attends Ground Breaking at Tennessee Advanced Vehicle Battery Plant Smyrna Electric Vehicle Project Expected to provide up to 1,500 Jobs in Tennessee March 31, 2010 GSA Doubles the Federal Hybrid Fleet, DOE Takes the Lead in Updating to Hybrids Agencies Move to Increase Energy Security and Fuel Efficiency January 11, 2010 Secretary Chu Announces $187 Million to Improve Vehicle Efficiency for Heavy-Duty Trucks and Passenger Vehicles October 15, 2009 2010 Annual Fuel Economy Guide Now Available

395

Household Vehicles Energy Consumption 1991  

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

. . Vehicle Fuel Efficiency and Consumption Fuel consumption is estimated from RTECS data on the vehicle stock (Chapter 2) and miles traveled (Chapter 3), in combination with vehicle fuel efficiency ratings, adjusted to account for individual driving circumstances. The first two sections of this chapter present estimates of household vehicle fuel efficiency and household fuel consumption calculated from these fuel efficiency estimates. These sections also discuss variations in fuel efficiency and consumption based on differences in household and vehicle characteristics. The third section presents EIA estimates of the potential savings from replacing the oldest (and least fuel-efficient) household vehicles with new (and more fuel-efficient) vehicles. The final section of this chapter focuses on households receiving (or eligible to receive) supplemental income under

396

Vehicle Technologies Office: 2007 Archive  

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

7 Archive to someone 7 Archive to someone by E-mail Share Vehicle Technologies Office: 2007 Archive on Facebook Tweet about Vehicle Technologies Office: 2007 Archive on Twitter Bookmark Vehicle Technologies Office: 2007 Archive on Google Bookmark Vehicle Technologies Office: 2007 Archive on Delicious Rank Vehicle Technologies Office: 2007 Archive on Digg Find More places to share Vehicle Technologies Office: 2007 Archive on AddThis.com... 2007 Archive #499 Alternative Fuel Models: Gains and Losses December 10, 2007 #498 New Light Vehicle Fuel Economy December 3, 2007 #497 Fuel Drops to Third Place in the Trucking Industry Top Ten Concerns November 26, 2007 #496 Diesel Prices in the U.S. and Selected Countries: Cost and Taxes November 19, 2007 #495 Oil Price and Economic Growth, 1971-2006 November 12, 2007

397

Vehicle Technologies Office: 2012 Archive  

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

2 Archive to someone 2 Archive to someone by E-mail Share Vehicle Technologies Office: 2012 Archive on Facebook Tweet about Vehicle Technologies Office: 2012 Archive on Twitter Bookmark Vehicle Technologies Office: 2012 Archive on Google Bookmark Vehicle Technologies Office: 2012 Archive on Delicious Rank Vehicle Technologies Office: 2012 Archive on Digg Find More places to share Vehicle Technologies Office: 2012 Archive on AddThis.com... 2012 Archive #760 Commuting to Work, 1960-2010 December 31, 2012 #759 Rural vs. Urban Driving Differences December 24, 2012 #758 U.S. Production of Crude Oil by State, 2011 December 17, 2012 #757 The U.S. Manufactures More Light Trucks than Cars December 10, 2012 #756 Midwest Produces Two-Thirds of All Light Vehicles December 3, 2012

398

Household Vehicles Energy Consumption 1991  

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

1. 1. Introduction The purpose of this report is to provide information on the use of energy in residential vehicles in the 50 States and the District of Columbia. Included are data about: the number and type of vehicles in the residential sector, the characteristics of those vehicles, the total annual Vehicle Miles Traveled (VMT), the per household and per vehicle VMT, the vehicle fuel consumption and expenditures, and vehicle fuel efficiencies. The Energy Information Administration (EIA) is mandated by Congress to collect, analyze, and disseminate impartial, comprehensive data about energy--how much is produced, who uses it, and the purposes for which it is used. To comply with this mandate, EIA collects energy data from a variety of sources covering a range of topics 1 . Background The data for this report are based on the household telephone interviews from the 1991 RTECS, conducted

399

Vehicle Technologies Office: Educational Activities  

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

Deployment Deployment Site Map Printable Version Share this resource Send a link to Vehicle Technologies Office: Educational Activities to someone by E-mail Share Vehicle Technologies Office: Educational Activities on Facebook Tweet about Vehicle Technologies Office: Educational Activities on Twitter Bookmark Vehicle Technologies Office: Educational Activities on Google Bookmark Vehicle Technologies Office: Educational Activities on Delicious Rank Vehicle Technologies Office: Educational Activities on Digg Find More places to share Vehicle Technologies Office: Educational Activities on AddThis.com... Energy Policy Act (EPAct) Clean Cities Educational Activities Graduate Automotive Technology Education (GATE) Educational Activities EcoCAR 2: Plugging In to the Future EcoCAR 2: Plugging In to the Future is the successor to EcoCAR: The NeXt

400

Blog Feed: Vehicles | Department of Energy  

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

November 29, 2011 November 29, 2011 This Month on Energy Savers: November 2011 The holiday season is in full swing. We've been focusing on ways to keep our homes warm during the cold months of winter, whether we're home or on vacation. November 17, 2011 How Do You Save Energy While on Vacation? What steps do you take to save energy at home or on the road while you're on vacation? November 15, 2011 New Calculator Helps You Buy the Energy-Saving Vehicle of Your Dreams Every day, people across America are making the choice to buy energy-efficient vehicles that save energy and money, protect the environment, and help reduce America's dependence on foreign oil. November 10, 2011 Under Secretary for Nuclear Security Tom D'Agostino, Sustainability Performance Office Director Jennifer MacDonald, Chris Evans and Deputy Secretary of Energy and Daniel Poneman at the 2011 Sustainability Awards. | Image courtesy of the Energy Department

Note: This page contains sample records for the topic "vehicle choice 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

Blog Feed: Vehicles  

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

feed-vehicles 1000 Independence Ave. SW Washington feed-vehicles 1000 Independence Ave. SW Washington DC 20585 202-586-5000 en Our Best Energy Videos of 2013 http://energy.gov/articles/our-best-energy-videos-2013 Our Best Energy Videos of 2013

402

Vehicle Technologies Office: News  

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

December 18, 2013 December 18, 2013 USDA Offers $118 Million for Renewable Energy, Smart Grid Projects The U.S. Department of Agriculture (USDA) announced $73 million in funding for renewable energy projects and $45 million for smart grid technology as part of more than $1.8 billion in funding for electric utility infrastructure projects in 25 states and one territory. More December 18, 2013 2012 Fuel Economy of New Vehicles Sets Record High: EPA The U.S. Environmental Protection Agency (EPA) reported that model year 2012 vehicles achieved an all-time high fuel economy average of 23.6 miles per gallon. More December 18, 2013 Energy Department Releases Grid Energy Storage Report The Energy Department released its Grid Energy Storage report to the members of the U.S. Senate Energy and Natural Resources Committee, identifying the benefits and challenges of grid energy storage that must be addressed to enable broader use. More

403

Vehicle rear suspension mechanism  

SciTech Connect (OSTI)

A vehicle rear suspension mechanism is described which consists of: a suspension member connected with a vehicle body; wheel hub means supporting a rear wheel having a wheel center plane for rotation about a rotating axis; and connecting means for connecting the wheel hub means with the suspension member. The connecting means include ball joint means having a pivot center located forwardly of and below the rotating axis of the rear wheel and connecting the wheel hub means to the suspension member pivotably about the pivot center, first resilient means located between the wheel hub means and the suspension member rearwardly of and above the rotating axis of the rear wheel, and second resilient means located between the wheel hub means and the suspension member forwardly of and above the rotating axis of the rear wheel.

Kijima, T.; Maebayashi, J.

1986-08-05T23:59:59.000Z

404

Rapid road repair vehicle  

DOE Patents [OSTI]

Disclosed is a rapid road repair vehicle capable of moving over a surface to be repaired at near normal posted traffic speeds to scan for and find at the high rate of speed, imperfections in the pavement surface, prepare the surface imperfection for repair by air pressure and vacuum cleaning, applying a correct amount of the correct patching material to effect the repair, smooth the resulting repaired surface, and catalog the location and quality of the repairs for maintenance records of the road surface. The rapid road repair vehicle can repair surface imperfections at lower cost, improved quality, at a higher rate of speed than was not heretofor possible, with significantly reduced exposure to safety and health hazards associated with this kind of road repair activities in the past. 2 figs.

Mara, L.M.

1998-05-05T23:59:59.000Z

405

Rapid road repair vehicle  

DOE Patents [OSTI]

Disclosed is a rapid road repair vehicle capable of moving over a surface to be repaired at near normal posted traffic speeds to scan for and find an the high rate of speed, imperfections in the pavement surface, prepare the surface imperfection for repair by air pressure and vacuum cleaning, applying a correct amount of the correct patching material to effect the repair, smooth the resulting repaired surface, and catalog the location and quality of the repairs for maintenance records of the road surface. The rapid road repair vehicle can repair surface imperfections at lower cost, improved quality, at a higher rate of speed than was was heretofor possible, with significantly reduced exposure to safety and health hazards associated with this kind of road repair activities in the past.

Mara, Leo M. (Livermore, CA)

1998-01-01T23:59:59.000Z

406

Unmanned Aerospace Vehicle Workshop  

SciTech Connect (OSTI)

The Unmanned Aerospace Vehicle (UAV) Workshop concentrated on reviewing and refining the science experiments planned for the UAV Demonstration Flights (UDF) scheduled at the Oklahoma Cloud and Radiation Testbed (CART) in April 1994. These experiments were focused around the following sets of parameters: Clear sky, daylight; Clear-sky, night-to-day transition; Clear sky - improve/validate the accuracy of radiative fluxes derived from satellite-based measurements; Daylight, clouds of opportunity; and, Daylight, broken clouds.

Vitko, J. Jr. [Sandia National Labs., Livermore, CA (United States)

1995-04-01T23:59:59.000Z

407

Vehicle Technologies Office: Fact #227: July 29, 2002 Vehicle Miles of  

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

7: July 29, 2002 7: July 29, 2002 Vehicle Miles of Travel (VMT) and Age by Vehicle Type to someone by E-mail Share Vehicle Technologies Office: Fact #227: July 29, 2002 Vehicle Miles of Travel (VMT) and Age by Vehicle Type on Facebook Tweet about Vehicle Technologies Office: Fact #227: July 29, 2002 Vehicle Miles of Travel (VMT) and Age by Vehicle Type on Twitter Bookmark Vehicle Technologies Office: Fact #227: July 29, 2002 Vehicle Miles of Travel (VMT) and Age by Vehicle Type on Google Bookmark Vehicle Technologies Office: Fact #227: July 29, 2002 Vehicle Miles of Travel (VMT) and Age by Vehicle Type on Delicious Rank Vehicle Technologies Office: Fact #227: July 29, 2002 Vehicle Miles of Travel (VMT) and Age by Vehicle Type on Digg Find More places to share Vehicle Technologies Office: Fact #227:

408

Vehicle Technologies Office: Batteries  

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

Batteries Batteries battery/cell diagram Battery/Cell Diagram Batteries are important to our everyday lives and show up in various consumer electronics and appliances, from MP3 players to laptops to our vehicles. Batteries play an important role in our vehicles and are gradually becoming more and more important as they assume energy storage responsibilities from fuel in vehicle propulsion systems. A battery is a device that stores chemical energy in its active materials and converts it, on demand, into electrical energy by means of an electrochemical reaction. An electrochemical reaction is a chemical reaction involving the transfer of electrons, and it is that reaction which creates electricity. There are three main parts of a battery: the anode, cathode, and electrolyte. The anode is the "fuel" electrode which gives up electrons to the external circuit to create the flow of electrons or electricity. The cathode is the oxidizing electrode which accepts electrons in the external circuit. Finally, the electrolyte carries the electric current, as ions, inside the cell, between the anode and cathode.

409

Stabilizer for motor vehicle  

SciTech Connect (OSTI)

This patent describes a stabilizer for a motor vehicle comprising: a rod-shaped torsion section extending in the transverse direction of a motor vehicle; a pair of arm sections continuous with both ends of the torsion section and extending in the longitudinal direction of the motor vehicle; a first member attached to the torsion section or at least one of the arm sections and formed with an axially penetrating cylindrical bore; a columnar second member inserted in the bore of the first member; at least one coil spring disposed between the inner peripheral surface of the bore of the first member and the outer peripheral surface of the second member and wound around the second member, at least one end of the coil spring being a free end; an operating member connected to the free end of the coil spring, at least a part of the operating member being located outside the first member; and drive means coupled to the operating member and adapted to apply a force in a direction such that the diameter of the coil spring is increased or reduced.

Takadera, I.; Kuroda, S.

1986-11-11T23:59:59.000Z

410

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

411

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

412

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 California’s residential sector energy efficiency programs and recommends improvements that will help to advance the state’s ambitious greenhouse gas reduction goals.

413

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

414

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

415

List of Vehicles Incentives | Open Energy Information  

Open Energy Info (EERE)

The following contains the list of 34 Vehicles Incentives. The following contains the list of 34 Vehicles Incentives. CSV (rows 1 - 34) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active Alternative Fuel Transportation Grant Program (Indiana) State Grant Program Indiana Commercial Nonprofit Local Government Renewable Transportation Fuels Renewable Fuel Vehicles Fuel Cells No Alternative Fuel Vehicle Loan Program (Missouri) State Loan Program Missouri Schools Local Government Renewable Fuel Vehicles Other Alternative Fuel Vehicles Refueling Stations No Alternative Fuel Vehicle Rebate (Colorado) State Rebate Program Colorado Schools Local Government State Government Renewable Fuel Vehicles No Alternative Fuel Vehicle Tax Credit (West Virginia) Personal Tax Credit West Virginia Residential Renewable Fuel Vehicles No

416

Clean Cities: Electric Vehicle Infrastructure Training Program  

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

Electric Vehicle Infrastructure Electric Vehicle Infrastructure Training Program to someone by E-mail Share Clean Cities: Electric Vehicle Infrastructure Training Program on Facebook Tweet about Clean Cities: Electric Vehicle Infrastructure Training Program on Twitter Bookmark Clean Cities: Electric Vehicle Infrastructure Training Program on Google Bookmark Clean Cities: Electric Vehicle Infrastructure Training Program on Delicious Rank Clean Cities: Electric Vehicle Infrastructure Training Program on Digg Find More places to share Clean Cities: Electric Vehicle Infrastructure Training Program on AddThis.com... Goals & Accomplishments Partnerships National Clean Fleets Partnership National Parks Initiative Electric Vehicle Infrastructure Training Program Advanced Vehicle Technology Competitions

417

Alternative Fuels Data Center: Hybrid Electric Vehicles  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Hybrid Electric Hybrid Electric Vehicles to someone by E-mail Share Alternative Fuels Data Center: Hybrid Electric Vehicles on Facebook Tweet about Alternative Fuels Data Center: Hybrid Electric Vehicles on Twitter Bookmark Alternative Fuels Data Center: Hybrid Electric Vehicles on Google Bookmark Alternative Fuels Data Center: Hybrid Electric Vehicles on Delicious Rank Alternative Fuels Data Center: Hybrid Electric Vehicles on Digg Find More places to share Alternative Fuels Data Center: Hybrid Electric Vehicles on AddThis.com... More in this section... Electricity Basics Benefits & Considerations Stations Vehicles Availability Conversions Emissions Batteries Deployment Maintenance & Safety Laws & Incentives Hybrids Plug-In Hybrids All-Electric Vehicles Hybrid Electric Vehicles

418

Alternative Fuels Data Center: Vehicle Registration Requirement  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Vehicle Registration Vehicle Registration Requirement to someone by E-mail Share Alternative Fuels Data Center: Vehicle Registration Requirement on Facebook Tweet about Alternative Fuels Data Center: Vehicle Registration Requirement on Twitter Bookmark Alternative Fuels Data Center: Vehicle Registration Requirement on Google Bookmark Alternative Fuels Data Center: Vehicle Registration Requirement on Delicious Rank Alternative Fuels Data Center: Vehicle Registration Requirement on Digg Find More places to share Alternative Fuels Data Center: Vehicle Registration Requirement on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Vehicle Registration Requirement Motor vehicle registration applicants must provide proof of compliance with

419

Are Cluster Ion Analysis Beams Good Choices for Hydrogen Depth...  

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

Cluster Ion Analysis Beams Good Choices for Hydrogen Depth Profiling Using Time-of-Flight Secondary Ion Mass Spectrometry? Are Cluster Ion Analysis Beams Good Choices for Hydrogen...

420

Myths Regarding Alternative Fuel Vehicle Demand by Light-Duty Vehicle Fleets  

E-Print Network [OSTI]

eet demand for alternative-fuel vehicles in California.Britain MYTHS REGARDING ALTERNATIVE FUEL VEHICLE DEMAND BYinitial market for alternative fuel vehicles (AFVs). We

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicle choice 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

Emergence of electric mobility: a nested approach to vehicle choice modeling  

E-Print Network [OSTI]

and electric cars) are likely to be significantly affected. This particular context motivated a sound demand analysis for electric cars in Switzerland, in order to identify the characteristics which would influence but from the Renault brand and finally a similar electric car. In the survey, respondents were also asked

Bierlaire, Michel

422

A theoretical and simulation-based examination of household vehicle choice through an adoption perspective  

E-Print Network [OSTI]

=2 Senior h =3 Table 17: Japan household income distributionto 2005 Japan Census (millions of households)). CHAPTER 5.same shifts of household dynamics as Japan (i.e. lower birth

Liu, Jenny Hsing-I

2010-01-01T23:59:59.000Z

423

Sensitivity of economic performance of the nuclear fuel cycle to simulation modeling assumptions  

E-Print Network [OSTI]

Comparing different nuclear fuel cycles and assessing their implications require a fuel cycle simulation model as complete and realistic as possible. In this thesis, methodological implications of modeling choices are ...

Bonnet, Nicéphore

2007-01-01T23:59:59.000Z

424

Simulations of all electric vehicles on fixed routes  

Science Journals Connector (OSTI)

This paper contains the design, the implementation and the preliminary experimentation of a simulation framework for investigating the effectiveness of battery powered vehicles under the assumption that they follow a route which is either predefined or its basic characteristics can be obtained at almost real time. In particular we would like to investigate the feasibility of all electric, battery only powered vehicles whose batteries are charged at appropriately located renewable energy sources. We have developed our web based, open software simulation platform by utilising and extending GridLAB-D, a power system modelling and simulation environment, and by incorporating data from various sources. Results from preliminary simulations of real life scenarios are presented and analysed.

Rafik Fainti; Antonia Nasiakou; Eleftherios Tsoukalas; Manolis Vavalis

2013-01-01T23:59:59.000Z

425

Vehicle Technologies Office: Key Activities in Vehicles | Department...  

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

in four key areas to develop and deploy vehicle technologies that reduce the use of petroleum while maintaining or improving performance, power, and comfort. Research and...

426

Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency  

Broader source: Energy.gov [DOE]

The Vehicle Technologies Office supports research to design engines optimized for alternative fuels that increases efficiency and takes advantage of these fuels' unique properties.

427

Richmond Electric Vehicle Initiative Electric Vehicle Readiness Plan  

Broader source: Energy.gov [DOE]

The REVi plan addresses the electric vehicle market in Richmond and then addresses a regional plan, policies, and analysis of the the communities readiness.

428

Vehicle Technologies Office Merit Review 2014: Advanced Vehicle Testing & Evaluation  

Broader source: Energy.gov [DOE]

Presentation given by Intertek at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about testing and evaluating advanced...

429

Vehicle Technologies Office Merit Review 2014: Consumer Vehicle Technology Data  

Broader source: Energy.gov [DOE]

Presentation given by National Renewable Energy Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about consumer...

430

Vehicle Technologies Office Merit Review 2014: Vehicle & Systems...  

Energy Savers [EERE]

& Testing Presentation given by U.S. Department of Energy at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation...

431

Advanced Vehicle Testing Activity (AVTA)- Vehicle Testing and Demonstration Activities  

Broader source: Energy.gov [DOE]

2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C.

432

Hybrid and Plug-In Electric Vehicles (Brochure), Vehicle Technologies...  

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

vehicle into an electric power source. Although electricity production may contribute to air pollution, the U.S. Environmental Protection Agency (EPA) considers EVs Hybrid and...

433

Commercial Vehicle Safety Alliance Commercial Vehicle Safety Alliance  

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

Alliance Alliance Commercial Vehicle Safety Alliance North American Standard Level VI Inspection Program Update: Ensuring Safe Transportation of Radioactive Material Carlisle Smith Director, Hazardous Materials Programs Commercial Vehicle Safety Alliance Email: carlisles@cvsa.org Phone: 301-830-6147 CVSA Levels of Inspections Level I Full inspection Level II Walk Around - Driver - Vehicle Level III Driver - Paperwork Level IV Special Project - Generally focus on one item CVSA Levels of Inspections Level V Vehicle Only Level VI Enhanced RAM Level VII Jurisdictional Mandated * 8 basic classes/year held in various states * Prerequisites: CVSA Level I and HAZMAT certified * Industry attends course * To date 135 classes/2268 attendees * Currently 702 certified Level VI

434

Choice Electric Co | Open Energy Information  

Open Energy Info (EERE)

Choice Electric Co Choice Electric Co Jump to: navigation, search Name Choice Electric Co Place Murwillumbah, New South Wales, Australia Zip 2484 Sector Solar Product Agency for Sharp solar (the largest solar panel producer in the world), Fronius, and Unitrac. Coordinates -28.32995°, 153.391693° 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":-28.32995,"lon":153.391693,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

435

Green Power Network: Community Choice Aggregation (CCA)  

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

Community Choice Aggregation (CCA) Community Choice Aggregation (CCA) Community choice aggregation (CCA) is a state policy that enables local governments to aggregate electricity demand within their jurisdictions in order to procure alternative energy supplies while maintaining the existing electricity provider for transmission and distribution services. Many states passed CCA laws as part of electric restructuring legislation in the late 1990s and early 2000s. States that have passed CCA laws include California (2002), Illinois (2009), Massachusetts (1997), New Jersey (2003), Ohio (1999), and Rhode Island (1997). There are many reasons that a community may choose to develop a CCA, including the option to purchase more green power, reduce electricity cost, and provide power from more local sources.

436

Vehicle Technologies Office: 2011 Archive  

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

1 Archive 1 Archive #707 Illustration of Truck Classes December 26, 2011 #706 Vocational Vehicle Fuel Consumption Standards December 19, 2011 #705 Fuel Consumption Standards for Combination Tractors December 12, 2011 #704 Fuel Consumption Standards for New Heavy Pickups and Vans December 5, 2011 #703 Hybrid Vehicles Lose Market Share in 2010 November 28, 2011 #702 Consumer Preferences on Electric Vehicle Charging November 21, 2011 #701 How Much More Would You Pay for an Electric Vehicle? November 14, 2011 #700 Biodiesel Consumption is on the Rise for 2011 November 7, 2011 #699 Transportation Energy Use by Mode and Fuel Type, 2009 October 31, 2011 #698 Changes in the Federal Highway Administration Vehicle Travel Data October 24, 2011 #697 Comparison of Vehicles per Thousand People in Selected Countries/Regions October 17, 2011

437

Household Vehicles Energy Consumption 1991  

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

3. 3. Vehicle Miles Traveled This chapter presents information on household vehicle usage, as measured by the number of vehicle miles traveled (VMT). VMT is one of the two most important components used in estimating household vehicle fuel consumption. (The other, fuel efficiency, is discussed in Chapter 4). In addition, this chapter examines differences in driving behavior based on the characteristics of the household and the type of vehicle driven. Trends in household driving patterns are also examined using additional information from the Department of Transportation's Nationwide Personal Transportation Survey (NPTS). Household VMT is a measure of the demand for personal transportation. Demand for transportation may be viewed from either an economic or a social perspective. From the economic point-of-view, the use of a household vehicle represents the consumption of one

438

Vehicle Technologies Office: 2004 Archive  

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

4 Archive to someone 4 Archive to someone by E-mail Share Vehicle Technologies Office: 2004 Archive on Facebook Tweet about Vehicle Technologies Office: 2004 Archive on Twitter Bookmark Vehicle Technologies Office: 2004 Archive on Google Bookmark Vehicle Technologies Office: 2004 Archive on Delicious Rank Vehicle Technologies Office: 2004 Archive on Digg Find More places to share Vehicle Technologies Office: 2004 Archive on AddThis.com... 2004 Archive #352 Automotive Industry Material Usage December 27, 2004 #351 Gasohol Use Is Up December 20, 2004 #350 U.S. Oil Imports: Top Ten Countries of Origin December 13, 2004 #349 Crude Oil Production: OPEC, the Persian Gulf, and the United States December 6, 2004 #348 U.S. Trade Deficit, 2001-2003 November 29, 2004 #347 The Relationship of VMT and GDP November 22, 2004

439

NREL: Learning - Hybrid Electric Vehicles  

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

Hybrid Electric Vehicles Hybrid Electric Vehicles Photo of the front and part of the side of a bus parked at the curb of a city street with tall buildings in the background. This diesel hybrid electric bus operated by the Metropolitan Transit Authority, New York City Transit, was part of a test study that recently investigated the fuel efficiency and reliability of these buses. Credit: Leslie Eudy Today's hybrid electric vehicles (HEVs) range from small passenger cars to sport utility vehicles (SUVs) and large trucks. Though they often look just like conventional vehicles, HEVs usually include an electric motor as well as a small internal combustion engine (ICE). This combination provides greater fuel economy and fewer emissions than most conventional ICE vehicles do. HEVs are powered by two energy sources: an energy conversion unit, such as

440

Vehicle Technologies Office: 2008 Archive  

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

8 Archive to someone 8 Archive to someone by E-mail Share Vehicle Technologies Office: 2008 Archive on Facebook Tweet about Vehicle Technologies Office: 2008 Archive on Twitter Bookmark Vehicle Technologies Office: 2008 Archive on Google Bookmark Vehicle Technologies Office: 2008 Archive on Delicious Rank Vehicle Technologies Office: 2008 Archive on Digg Find More places to share Vehicle Technologies Office: 2008 Archive on AddThis.com... 2008 Archive #551 Truck Stop Electrification Sites December 29, 2008 #550 Clean Cities Coalitions December 22, 2008 #549 Biofuels Corridor extends from the Great Lakes to the Gulf of Mexico December 15, 2008 #548 Number of Gasoline Stations Continues to Decline in 2007 December 8, 2008 #547 Research and Development (R&D) Spending in the Automotive Industry December 1, 2008

Note: This page contains sample records for the topic "vehicle choice 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

Mack LNG vehicle development  

SciTech Connect (OSTI)

The goal of this project was to install a production-ready, state-of-the-art engine control system on the Mack E7G natural gas engine to improve efficiency and lower exhaust emissions. In addition, the power rating was increased from 300 brake horsepower (bhp) to 325 bhp. The emissions targets were oxides of nitrogen plus nonmethane hydrocarbons of less than 2.5 g/bhp-hr and particulate matter of less than 0.05 g/bhp-hr on 99% methane. Vehicle durability and field testing were also conducted. Further development of this engine should include efficiency improvements and oxides of nitrogen reductions.

Southwest Research Institute

2000-01-05T23:59:59.000Z

442

Hybrid vehicle motor alignment  

DOE Patents [OSTI]

A rotor of an electric motor for a motor vehicle is aligned to an axis of rotation for a crankshaft of an internal combustion engine having an internal combustion engine and an electric motor. A locator is provided on the crankshaft, a piloting tool is located radially by the first locator to the crankshaft. A stator of the electric motor is aligned to a second locator provided on the piloting tool. The stator is secured to the engine block. The rotor is aligned to the crankshaft and secured thereto.

Levin, Michael Benjamin (Ann Arbor, MI)

2001-07-03T23:59:59.000Z

443

Alternative Fuel Vehicles  

SciTech Connect (OSTI)

This Federal Technology Alert on alternative fuel vehicles (AFVs), prepared for the U.S. Department of Energy's Federal Energy Management Program (FEMP), is intended for fleet managers in government agencies and other government officials who need to use more alternative fuels and AFVs in their fleets of cars and trucks. This publication describes the government's plans and progress in meeting goals for the use of AFVs, which are stated in the Energy Policy Act and various Executive Orders. It describes the types of AFVs available, lists actual and potential federal uses, makes some general recommendations, and presents field experiences to date.

Not Available

2003-09-01T23:59:59.000Z

444

Preferences for alternative fuel vehicles of company car drivers  

Science Journals Connector (OSTI)

Abstract Costs of car ownership for company cars drivers and private car owners are very different. Car use, car choice decisions and preferences for car characteristics may therefore differ substantially between these two markets. In this paper, we present results of a study on the preferences of company car drivers for alternative fuel vehicles and their characteristics, based on data from an online stated choice experiment in the Netherlands. Results show that, assuming current car characteristics, preferences for alternative fuel vehicles, and for electric and fuel cell cars in particular, are substantially lower than those for the conventional technology. Limited driving ranges, long recharge/refuelling times and limited availability of refuelling opportunities, are to a large extent responsible for this. Preferences for alternative fuel vehicles increase considerably with improvements on these aspects, especially for the hybrid and flexifuel car. Under the current company car tax system in the Netherlands, which favours cleaner technologies, these two car types are even preferred to the conventional technology, assuming equal catalogue prices and personal monthly cost contributions. Comparing results with those from a similar choice experiment among private car owners shows that willingness to pay patterns for AFV improvements regarding driving range, recharge and refuelling times, fuel availability and diversity in AFV supply, are considerably different for company car drivers than for private car owners. Company and private car drivers may therefore react (very) differently to future improvements in AFV technology and fuel availability. We finally show that preferences of company car drivers for fuel cell and electric cars depend to a large extent on annual mileage. Market share simulations show that potential early adopters of electric and fuel cell cars can be found among people with a relatively low annual mileage.

Mark J. Koetse; Anco Hoen

2014-01-01T23:59:59.000Z

445

Vehicle Technologies Office: Propulsion Materials  

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

Materials Materials Manufacturers use propulsion (or powertrain) materials in the components that move vehicles of every size and shape. Conventional vehicles use these materials in components such as the engine, transmission, fuel system, and exhaust after-treatment systems. Electric drive vehicles use propulsion materials in their electric motors and power electronics. Developing advanced propulsion materials is essential to commercializing new, highly efficient automotive technologies that have technical requirements that existing powertrain materials cannot meet. The Vehicle Technology Office's (VTO) research in propulsion materials focuses on four areas: Materials for hybrid and electric drive systems Materials for high efficiency combustion engines Materials to enable energy recovery systems and control exhaust gases

446

Heavy Duty Vehicle Modeling & Simulation  

Broader source: Energy.gov [DOE]

2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C.

447

Household Vehicles Energy Consumption 1991  

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

Protection Agency (EPA) certification files (CERT files) containing laboratory test results of MPG. When the vehicle characteristic was missing from the questionnaire, but...

448

Vehicle Technologies Program Merit Review  

Broader source: Energy.gov [DOE]

2010 DOE Vehicle Technologies and Hydrogen Programs Annual Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C.

449

A structural analysis of vehicle design responses to Corporate Average Fuel Economy policy  

Science Journals Connector (OSTI)

The US Corporate Average Fuel Economy (CAFE) regulations are intended to influence automaker vehicle design and pricing choices. CAFE policy has been in effect for the past three decades, and new legislation has raised standards significantly. We present a structural analysis of automaker responses to generic CAFE policies. We depart from prior CAFE analyses by focusing on vehicle design responses in long-run oligopolistic equilibrium, and we view vehicles as differentiated products, taking demand as a general function of price and product attributes. We find that under general cost, demand, and performance functions, single-product profit maximizing firm responses to CAFE standards follow a distinct pattern: firms ignore CAFE when the standard is low, treat CAFE as a vehicle design constraint for moderate standards, and violate CAFE when the standard is high. Further, the point and extent of first violation depends upon the penalty for violation, and the corresponding vehicle design is independent of further standard increases. Thus, increasing CAFE standards will eventually have no further impact on vehicle design if the penalty for violation is also not increased. We implement a case study by incorporating vehicle physics simulation, vehicle manufacturing and technology cost models, and a mixed logit demand model to examine equilibrium powertrain design and price decisions for a fixed vehicle body. Results indicate that equilibrium vehicle design is not bound by current CAFE standards, and vehicle design decisions are directly determined by market competition and consumer preferences. We find that with increased fuel economy standards, a higher violation penalty than the current stagnant penalty is needed to cause firms to increase their design fuel economy at equilibrium. However, the maximum attainable improvement can be modest even if the penalty is doubled. We also find that firms’ design responses are more sensitive to variation in fuel prices than to CAFE standards, within the examined ranges.

Ching-Shin Norman Shiau; Jeremy J. Michalek; Chris T. Hendrickson

2009-01-01T23:59:59.000Z

450

NREL: Vehicles and Fuels Research - Publications  

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

Publications Publications NREL researchers document their findings in technical reports, conference papers, journal articles, and fact sheets. Visit the following online resources to find publications about alternative and advanced transportation technologies and systems. NREL Publications Database This database features a wide variety of publications produced by NREL from 1977 to the present. Search the database or find publications according to these popular key words: Advanced vehicles and systems | Alternative fuels | Batteries | Electric vehicles | Energy storage | Fuel cell vehicles | Hybrid electric vehicles | Plug-in electric vehicles | Vehicle analysis | Vehicle modeling | Vehicle emissions Selected Publications Read selected publications related to our vehicles and fuels projects:

451

Vehicle Technologies Office: EPAct Transportation Regulatory Activities  

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

Vehicle Technologies Office: EPAct Transportation Vehicle Technologies Office: EPAct Transportation Regulatory Activities to someone by E-mail Share Vehicle Technologies Office: EPAct Transportation Regulatory Activities on Facebook Tweet about Vehicle Technologies Office: EPAct Transportation Regulatory Activities on Twitter Bookmark Vehicle Technologies Office: EPAct Transportation Regulatory Activities on Google Bookmark Vehicle Technologies Office: EPAct Transportation Regulatory Activities on Delicious Rank Vehicle Technologies Office: EPAct Transportation Regulatory Activities on Digg Find More places to share Vehicle Technologies Office: EPAct Transportation Regulatory Activities on AddThis.com... Home About Covered Fleets Compliance Methods Alternative Fuel Petitions Resources The U.S. Department of Energy's (DOE) Vehicle Technologies Office manages

452

Alternative Fuels Data Center: Propane Vehicles  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Propane Propane Printable Version Share this resource Send a link to Alternative Fuels Data Center: Propane Vehicles to someone by E-mail Share Alternative Fuels Data Center: Propane Vehicles on Facebook Tweet about Alternative Fuels Data Center: Propane Vehicles on Twitter Bookmark Alternative Fuels Data Center: Propane Vehicles on Google Bookmark Alternative Fuels Data Center: Propane Vehicles on Delicious Rank Alternative Fuels Data Center: Propane Vehicles on Digg Find More places to share Alternative Fuels Data Center: Propane Vehicles on AddThis.com... More in this section... Propane Basics Benefits & Considerations Stations Vehicles Availability Conversions Emissions Laws & Incentives Propane Vehicles Related Information Availability Conversions Emissions Incentives & Laws

453

Water Emissions from Fuel Cell Vehicles | Department of Energy  

Energy Savers [EERE]

Water Emissions from Fuel Cell Vehicles Water Emissions from Fuel Cell Vehicles Hydrogen fuel cell vehicles (FCVs) emit approximately the same amount of water per mile as vehicles...

454

AVTA: Nissan Leaf All-Electric Vehicle 2011 Testing Reports ...  

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

Nissan Leaf All-Electric Vehicle 2011 Testing Reports AVTA: Nissan Leaf All-Electric Vehicle 2011 Testing Reports The Vehicle Technologies Office's Advanced Vehicle Testing...

455

Alternative Fuels Data Center: Hybrid Electric Vehicle (HEV) and Electric  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Hybrid Electric Hybrid Electric Vehicle (HEV) and Electric Vehicle (EV) Exemption from Vehicle Testing Requirements to someone by E-mail Share Alternative Fuels Data Center: Hybrid Electric Vehicle (HEV) and Electric Vehicle (EV) Exemption from Vehicle Testing Requirements on Facebook Tweet about Alternative Fuels Data Center: Hybrid Electric Vehicle (HEV) and Electric Vehicle (EV) Exemption from Vehicle Testing Requirements on Twitter Bookmark Alternative Fuels Data Center: Hybrid Electric Vehicle (HEV) and Electric Vehicle (EV) Exemption from Vehicle Testing Requirements on Google Bookmark Alternative Fuels Data Center: Hybrid Electric Vehicle (HEV) and Electric Vehicle (EV) Exemption from Vehicle Testing Requirements on Delicious Rank Alternative Fuels Data Center: Hybrid Electric Vehicle (HEV)

456

New York State-wide Alternative Fuel Vehicle Program for Vehicles...  

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

New York State-wide Alternative Fuel Vehicle Program for Vehicles and Fueling Stations New York State-wide Alternative Fuel Vehicle Program for Vehicles and Fueling Stations 2010...

457

Fact #842: October 13, 2014 Vehicles and Vehicle Travel Trends have Changed Since 2008  

Broader source: Energy.gov [DOE]

As the U.S. population has doubled from 1950 to 2012, the number of vehicles has grown nearly 6-fold and vehicle travel even more than that. The number of vehicles and vehicle travel peaked in 2007...

458

Living with Electric Vehicles  

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

Living with Electric Vehicles Living with Electric Vehicles JOHN DAVIS: On any given weekend, somewhere you'll find a gathering of cars and a group of enthusiasts assembled around them. Be the hotrods classics or sports cars, each genre of the car's evolution has developed loyal following. And electric cars are no exception. The recent National Plug-in day included events held at hundreds of sites across the U.S. enticing EV aficionados to check out the latest models and share their passion for gas-free motoring. JOHN BARRACCA: The dealer gives you 9.3 gallons. I haven't used all of that yet. But, when I get 3 gallons low, I put 3 gallons in. So, I'm still at almost a full tank. The last time I put 3 gallons in was February and this is September 23rd. JOHN DAVIS: All of the owners we talked with were pleased with their plug-in car's fuel

459

Optimal Consumption Choice with Intertemporal Substitution y  

E-Print Network [OSTI]

Optimal Consumption Choice with Intertemporal Substitution y By Peter Bank and Frank Riedel z consumption plans are established under arbitrary convex portfolio constraints, including both complete of the underlying stochastics, optimal consumption occurs at rates, in gulps, or in a singular way. y Support

Bank, Peter

460

CAUSALITY, MEMORY ERASING AND DELAYED CHOICE EXPERIMENTS  

E-Print Network [OSTI]

Comment on [R.L. Ingraham, Phys. Rev. A 50, 4502 (1994)]. Ingraham suggested ``a delayed-choice experiment with partial, controllable memory erasing''. It is shown that he cannot be right since his predictions contradict relativistic causality. A subtle quantum effect which was overlooked by Ingraham is explained.

Y. Aharonov; S. Popsecu; L. Vaidman

1995-01-08T23:59:59.000Z

Note: This page contains sample records for the topic "vehicle choice 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

Sustainability: Preserving Choice for the Army  

E-Print Network [OSTI]

Sustainability: Preserving Choice for the Army Friday, October 19, 2012 12:00 - 1:30 p.m. (lunch will be provided) Wrigley Hall, Room 481 Richard Kidd Deputy Assistant of the Army, Energy and Sustainability infrastructure. The development of Army-wide sustainability principles coupled with investments, training

Hall, Sharon J.

462

Visualizing the Choices: Marginals, Risk Measures &  

E-Print Network [OSTI]

increase, ... area flooded,... population homeless....) Choice of measure to quote (VaR/quantile, CVa tail. Likewise, Platen EPJ-B, Taylor S. Africa data (T, VG). These differ in the detail but agree data moment for a pdf with density decaying like x-4 , x-5 ). 6 PresentationPrint.nb #12;Trying to do better

Shaw, William

463

Fuel Cell Vehicle World Survey 2003-Specialty Vehicles  

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

Specialty Vehicles Specialty Vehicles History The first fuel cell vehicles were specialty vehicles. Allis Chalmers built and demonstrated a tractor in 1959 utilizing an alkaline fuel cell that produced 20 horsepower. During the 1960s, Pratt & Whitney delivered the first of an estimated 200 fuel cell auxiliary power units for space applications. Union Carbide delivered a fuel cell scooter to the U.S. Army in 1967. PEM fuel cells were invented in the 1960s for Allis Chalmers fuel cell tractor, 1959 military applications and have been used since the 1970s in submarines. Engelhard developed a fuel-cell-powered forklift about 1969. Since fuel cells are modular, scalable, and fuel-flexible, they remain excellent candidates for a wide range of specialty vehicle applications. Fuel cells are currently being demonstrated on land,

464

NREL: Vehicles and Fuels Research - Fuel Cell Electric Vehicle Technologies  

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

Vehicle Technologies in the Media Spotlight Vehicle Technologies in the Media Spotlight August 19, 2013 Automakers have made steady progress reducing the cost and increasing the performance of fuel cell propulsion systems, and most major vehicle manufacturers are geared to launch fuel cell electric vehicles in the U.S. market between 2015 and 2020. A recent Denver Post article highlights the National Renewable Energy Laboratory's contribution to the progress that automakers have made in getting their fuel cell electric vehicles ready for production. "When I started working on fuel cells in the '90s, people said it was a good field because a solution would always be five years away," said Brian Pivovar, who leads NREL's fuel cell research. "Not anymore." The article references a variety of NREL's hydrogen and fuel cell

465

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

466

PLEASE DO NOT QUOTE OR CITE WITHOUT PERMISSION OF AUTHOR CASE STUDY OF DEVELOPING A HYDROGEN VEHICLE  

E-Print Network [OSTI]

and potential hydrogen supplies. --' #12;" LIST OF TABLES Table 1.0. Conversion Factors and Economic Assumptions Center for Energy and Environmental Studies Princeton University Princeton, NJ 08544 October 14, 1996 #12 Table 1.1. Data And Projections For Vehicle Populations, Fuel Economy, Annual Mileage And Energy Use

467

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

468

Retail Infrastructure Costs Comparison for Hydrogen and Electricity for Light-Duty Vehicles: Preprint  

SciTech Connect (OSTI)

Both hydrogen and plug-in electric vehicles offer significant social benefits to enhance energy security and reduce criteria and greenhouse gas emissions from the transportation sector. However, the rollout of electric vehicle supply equipment (EVSE) and hydrogen retail stations (HRS) requires substantial investments with high risks due to many uncertainties. We compare retail infrastructure costs on a common basis - cost per mile, assuming fueling service to 10% of all light-duty vehicles in a typical 1.5 million person city in 2025. Our analysis considers three HRS sizes, four distinct types of EVSE and two distinct EVSE scenarios. EVSE station costs, including equipment and installation, are assumed to be 15% less than today's costs. We find that levelized retail capital costs per mile are essentially indistinguishable given the uncertainty and variability around input assumptions. Total fuel costs per mile for battery electric vehicle (BEV) and plug-in hybrid vehicle (PHEV) are, respectively, 21% lower and 13% lower than that for hydrogen fuel cell electric vehicle (FCEV) under the home-dominant scenario. Including fuel economies and vehicle costs makes FCEVs and BEVs comparable in terms of costs per mile, and PHEVs are about 10% less than FCEVs and BEVs. To account for geographic variability in energy prices and hydrogen delivery costs, we use the Scenario Evaluation, Regionalization and Analysis (SERA) model and confirm the aforementioned estimate of cost per mile, nationally averaged, but see a 15% variability in regional costs of FCEVs and a 5% variability in regional costs for BEVs.

Melaina, M.; Sun, Y.; Bush, B.

2014-08-01T23:59:59.000Z

469

Why Some Vehicles Are Not Listed / 1  

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

Understanding the Guide Listings / 1 Understanding the Guide Listings / 1 * Why Some Vehicles Are Not Listed / 1 * Vehicle Classes Used in This Guide / 2 * Tax Incentives and Disincentives / 2 * Why Consider Fuel Economy / 2 * Fueling Options / 3 * Fuel Economy and Annual Fuel Cost Ranges for Vehicle Classes / 3 * Model Year 2011 Fuel Economy Leaders / 4 * 2011 Model Year Vehicles / 6 * Battery Electric Vehicles / 18 * Plug-in Hybrid Electric Vehicles / 19 * Hybrid Electric Vehicles / 20 * Compressed Natural Gas Vehicles / 22 * Diesel Vehicles / 22 * Ethanol Flexible Fuel Vehicles / 24 * Fuel Cell Vehicles / 28 * Index / 29 * USING THE FUEL ECONOMY GUIDE The U.S. Environmental Protection Agency (EPA) and U.S. Department of Energy (DOE) produce the Fuel Economy Guide to help car buyers choose the most fuel-efficient vehicle that meets their

470

Alternative Fuels Data Center: Ethanol Vehicle Emissions  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Ethanol Vehicle Ethanol Vehicle Emissions to someone by E-mail Share Alternative Fuels Data Center: Ethanol Vehicle Emissions on Facebook Tweet about Alternative Fuels Data Center: Ethanol Vehicle Emissions on Twitter Bookmark Alternative Fuels Data Center: Ethanol Vehicle Emissions on Google Bookmark Alternative Fuels Data Center: Ethanol Vehicle Emissions on Delicious Rank Alternative Fuels Data Center: Ethanol Vehicle Emissions on Digg Find More places to share Alternative Fuels Data Center: Ethanol Vehicle Emissions on AddThis.com... More in this section... Ethanol Basics Benefits & Considerations Stations Vehicles Availability Conversions Emissions Laws & Incentives Ethanol Vehicle Emissions When blended with gasoline for use as a vehicle fuel, ethanol can offer some emissions benefits over gasoline, depending on vehicle type, engine

471

Fuel Savings from Hybrid Electric Vehicles  

SciTech Connect (OSTI)

NREL's study shows that hybrid electric vehicles can significantly reduce oil imports for use in light-duty vehicles, particularly if drivers switch to smaller, more fuel-efficient vehicles overall.

Bennion, K.; Thornton, M.

2009-03-01T23:59:59.000Z

472

Solar-Hydrogen Fuel-Cell Vehicles  

E-Print Network [OSTI]

M. A. (1992). Hydrogen Fuel-Cell Vehicles. Re- koebensteinthan both. Solar-hydrogen and fuel-cell vehicles wouldberegulation. Solar-Hydrogen Fuel-Cell Vehicles MarkA. DeLuchi

DeLuchi, Mark A.; Ogden, Joan M.

1993-01-01T23:59:59.000Z

473

Light Duty Vehicle Pathways | Department of Energy  

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

Duty Vehicle Pathways Light Duty Vehicle Pathways Presented at the U.S. Department of Energy Light Duty Vehicle Workshop in Washington, D.C. on July 26, 2010....

474

Alternative Fuels Data Center: Vehicle Cost Calculator  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Vehicle Cost Vehicle Cost Calculator to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator on AddThis.com... Vehicle Cost Calculator Vehicle Cost Calculator This tool uses basic information about your driving habits to calculate total cost of ownership and emissions for makes and models of most vehicles, including alternative fuel and advanced technology vehicles. Also

475

Vehicle Technologies Office: 2010 Archive  

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

0 Archive 0 Archive #655 New Freight Analysis Tool December 27, 2010 #654 New Light Vehicle Leasing is Big in 2010 December 20, 2010 #653 Import Cars and Trucks Gaining Ground December 13, 2010 #652 U.S. Crude Oil Production Rises December 6, 2010 #651 Hybrid Vehicles Dominate EPA's Top Ten Fuel Sippers List for 2011 November 29, 2010 #650 Diesel Fuel Prices hit a Two-Year High November 22, 2010 #649 Number of New Light Vehicle Dealerships Continues to Shrink November 15, 2010 #648 Conventional and Alternative Fuel Prices November 8, 2010 #647 Sales Shifting from Light Trucks to Cars November 1, 2010 #646 Prices for Used Vehicles Rise Sharply from 2008 to 2010 October 25, 2010 #645 Price of Diesel versus Gasoline in Europe October 18, 2010 #644 Share of Diesel Vehicle Sales Decline in Western Europe October 11, 2010

476

Smart Thermal Skins for Vehicles  

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

8 8 Smart Thermal Skins for Vehicles With a modest effort, many of the energy-efficient technologies developed for buildings can be transferred to the transportation sector. The goal of vehicle thermal management research at LBL is to save the energy equivalent of one to two billion gallons of gasoline per year, and improve the marketability of next-generation vehicles using advanced solar control glazings and insulating shell components to reduce accessory loads. Spectrally selective and electrochromic window glass and lightweight insulating materials improve the fuel efficiency of conventional and hybrid vehicles and extend the range of electric vehicles by reducing the need for air conditioning and heating, and by allowing the downsizing of equipment.

477

Vehicles Blog | Department of Energy  

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

Vehicles Blog Vehicles Blog Vehicles Blog RSS November 22, 2013 As part of the 21st Century Truck Partnership, the Army will demonstrate technology that converts waste heat from an exhaust system to electricity used in its Stryker vehicle. | Photo courtesy of courtesy of U.S. Army Top U.S. Automakers Collaborate to Improve Heavy-Duty Freight Efficiency The 21st Century Truck Partnership aims to improve the fuel efficiency of heavy duty-freight vehicles in existing and future fleets throughout the country. The partnership includes 15 heavy-duty engine, truck, and bus manufacturers, four federal agencies and 12 national laboratories. September 19, 2013 A Clean Energy Revolution -- Now Critics often say America's clean energy future will "always be five years away." For four key clean energy technologies, that clean energy

478

Vehicles News | Department of Energy  

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

News News Vehicles News RSS September 4, 2013 Energy Department Announces $45 Million to Advance Next-Generation Vehicle Technologies Thirty-eight projects will accelerate the research and development of technologies to improve vehicle fuel efficiency, lower transportation costs, and cut carbon pollution. Energy Department Announces $45 Million to Advance Next-Generation Vehicle Technologies Building on President Obama's Climate Action Plan to build a 21st century transportation sector and reduce greenhouse gas emissions, the Energy Department announced today more than $45 million for thirty-eight new projects that accelerate the research and development of vehicle technologies to improve fuel efficiency, lower transportation costs, and protect the environment in communities nationwide.

479

Household Vehicles Energy Consumption 1991  

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

Detailed Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1991 Residential Transportation Energy Consumption Survey. The "Glossary" contains the definitions of terms used in the tables. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle miles traveled (VMT) or gallons consumed; (2) Tables of per household statistics such as VMT per household; and (3) Tables of per vehicle statistics such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model year data, or family income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table. Row and Column Factors These tables present estimates

480

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

Greene, D.L.; Chin, Shih-Miao; Gibson, R. [Tennessee Univ., Knoxville, TN (United States)

1995-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicle choice 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

Hydrogen ICE Vehicle Testing Activities  

SciTech Connect (OSTI)

The Advanced Vehicle Testing Activity teamed with Electric Transportation Applications and Arizona Public Service to develop and monitor the operations of the APS Alternative Fuel (Hydrogen) Pilot Plant. The Pilot Plant provides 100% hydrogen, and hydrogen and compressed natural gas (H/CNG)-blended fuels for the evaluation of hydrogen and H/CNG internal combustion engine (ICE) vehicles in controlled and fleet testing environments. Since June 2002, twenty hydrogen and H/CNG vehicles have accumulated 300,000 test miles and 5,700 fueling events. The AVTA is part of the Department of Energy’s FreedomCAR and Vehicle Technologies Program. These testing activities are managed by the Idaho National Laboratory. This paper discusses the Pilot Plant design and monitoring, and hydrogen ICE vehicle testing methods and results.

J. Francfort; D. Karner

2006-04-01T23:59:59.000Z

482

Propane Vehicle Demonstration Grant Program  

SciTech Connect (OSTI)

Project Description: Propane Vehicle Demonstration Grants The Propane Vehicle Demonstration Grants was established to demonstrate the benefits of new propane equipment. The US Department of Energy, the Propane Education & Research Council (PERC) and the Propane Vehicle Council (PVC) partnered in this program. The project impacted ten different states, 179 vehicles, and 15 new propane fueling facilities. Based on estimates provided, this project generated a minimum of 1,441,000 new gallons of propane sold for the vehicle market annually. Additionally, two new off-road engines were brought to the market. Projects originally funded under this project were the City of Portland, Colorado, Kansas City, Impco Technologies, Jasper Engines, Maricopa County, New Jersey State, Port of Houston, Salt Lake City Newspaper, Suburban Propane, Mutual Liquid Propane and Ted Johnson.

Jack Mallinger

2004-08-27T23:59:59.000Z

483

Vehicle Technologies Office: 2013 Archive  

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

3 Archive 3 Archive #810 Leasing on the Rise December 30, 2013 #809 What Do We Pay for in a Gallon of Gasoline? December 23, 2013 #808 Declining Use of Six- and Eight-Cylinder Engines December 16, 2013 #807 Light Vehicle Weights Leveling Off December 9, 2013 #806 Light Vehicle Market Shares, Model Years 1975-2012 December 2, 2013 #805 Vehicle Technology Penetration November 25, 2013 #804 Tool Available to Print Used Vehicle Fuel Economy Window Stickers November 18, 2013 #803 Average Number of Transmission Gears is on the Rise November 11, 2013 #802 Market Share by Transmission Type November 4, 2013 #801 Gasoline Direct Injection Continues to Grow October 28, 2013 #800 Characteristics of New Light Vehicles over Time October 21, 2013 #799 Electricity Generation by Source, 2003-2012 September 30, 2013

484

Vehicle Technologies Office: Partners  

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

Partners Partners The interactive map below highlights Workplace Charging Challenge Partners across the country who are installing plug-in electric vehicle charging infrastructure for their employees. Select a worksite to learn more about these leading employers in your area. U.S. Department of Energy Energy Efficiency and Renewable Energy Source: Alternative Fuels Data Center orkplace Charging Challenge Partners 3M ABB Inc. AVL Baxter Healthcare Corporation Bentley Systems Biogen Idec Bloomberg LP BookFactory CFV Solar Test Laboratory, Inc. Chrysler Cisco Systems City of Auburn Hills City of Sacramento The Coca-Cola Company Dell Dominion Resources, Inc. DTE Energy Duke Energy Eli Lilly EMC Corporation Facebook Ford Fraunhofer Center for Sustainable Energy Systems General Electric

485

Vehicle Technologies Office: Glossary  

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

Glossary Glossary A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z A Adsorption: The adhesion of the molecules of gases, dissolved substances, or liquids in more or less concentrated form to the surface of solids or liquids with which they are in contact. Commercial adsorbent materials have enormous internal surfaces. AEMD (Automotive Electric Drive Motor): A U.S. Department of Energy program to develop low-cost traction drive motors for automotive applications. Aerosol: A cloud consisting of particles dispersed in a gas or gases. AIPM (Automotive Integrated Power Module) A U.S. Department of Energy program to integrate the power devices, control electronics, and thermal management of a vehicle into a single low-cost package that will meet all requirements for automotive motor control applications.

486

Hybrid Vehicle Links  

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

Hybrid Links Hybrid Links Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov Web site. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Hybrid Vehicles and Manufacturers Acura ILX Hybrid Audi Q5 Hybrid BMW ActiveHybrid 3 ActiveHybrid 5 ActiveHybrid 7 Buick LaCrosse eAssist* Regal eAssist* Chevrolet Malibu Eco* Impala eAssist* Ford Fusion Hybrid Honda Accord Hybrid Civic Hybrid Honda CR-Z Honda Insight Hyundai Sonata Hybrid Infiniti M Hybrid Q50 Hybrid Q50 S Hybrid QX60 Hybrid Kia Optima Hybrid Lexus CT 200h Lexus ES 300h GS 450h LS 600h L RX 450h Lincoln MKZ Hybrid Mercedes-Benz Mercedes E400 Hybrid Nissan Pathfinder Hybrid Porsche Cayenne S Hybrid Subaru XV Crosstrek Hybrid Toyota Avalon Hybrid

487

An optimized international vehicle monitor  

SciTech Connect (OSTI)

The security plans for many DOE facilities require the monitoring of pedestrians and vehicles to control the movement of special nuclear material (SNM). Vehicle monitors often provide the outer-most barrier against the theft of SNM. Automatic monitors determine the presence of SNM by comparing the gamma-ray and neutron intensity while occupied, to the continuously updated background radiation level which is measured while the unit is unoccupied. The most important factors in choosing automatic vehicle monitors are sensitivity, cost and in high traffic applications total monitoring time. The two types of automatic vehicle monitors presently in use are the vehicle monitoring station and the drive-through vehicle monitor. These two types have dramatically different cost and sensitivities. The vehicle monitoring station has a worst-case detection sensitivity of 40 g of highly enriched uranium, HEU, and a cost approximately $180k. This type of monitor is very difficult to install and can only be used in low traffic flow locations. The drive-through vehicle portal has a worst-case detection sensitivity of 1 kg of HEU and a cost approximately $20k. The world`s political situation has created a pressing need to prevent the diversion of SNM from FSU nuclear facilities and across international borders. Drive-through vehicle monitors would be an effective and practical nuclear material proliferation deterrent if their sensitivity can be improved to a sufficient level. The goal of this project is to evaluate different detector configurations as a means of improving the sensitivity of these instruments to achieve a vehicle monitor that is economical, practical to install, and has adequate sensitivity to be an effective barrier to illegal transportation of SNM.

York, R.L.; Close, D.A.; Fehlau, P.E.

1997-03-01T23:59:59.000Z

488

Choice, involvement and illusory control 1 Running head: CHOICE, INVOLVEMENT AND ILLUSORY CONTROL  

E-Print Network [OSTI]

, which triggers the (quasi-)immediate resolution of the gamble (e.g., spinning the wheel, throwing the dice, picking the ball from the urn).1 Choice and Involvement are orthogonal dimensions of the gambling

Boyer, Edmond

489

Alternative Fuels Data Center: Choice Environmental Services Chooses  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Choice Environmental Choice Environmental Services Chooses Natural Gas to someone by E-mail Share Alternative Fuels Data Center: Choice Environmental Services Chooses Natural Gas on Facebook Tweet about Alternative Fuels Data Center: Choice Environmental Services Chooses Natural Gas on Twitter Bookmark Alternative Fuels Data Center: Choice Environmental Services Chooses Natural Gas on Google Bookmark Alternative Fuels Data Center: Choice Environmental Services Chooses Natural Gas on Delicious Rank Alternative Fuels Data Center: Choice Environmental Services Chooses Natural Gas on Digg Find More places to share Alternative Fuels Data Center: Choice Environmental Services Chooses Natural Gas on AddThis.com... Oct. 11, 2011 Choice Environmental Services Chooses Natural Gas " In our bidding for residential collection contracts, we realized that the

490

Australia's Green Vehicle Guide | Open Energy Information  

Open Energy Info (EERE)

Australia's Green Vehicle Guide Australia's Green Vehicle Guide Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Australia's Green Vehicle Guide Agency/Company /Organization: Commonwealth of Australia Focus Area: Vehicles, Fuel Efficiency Topics: Analysis Tools, Market Analysis Website: www.greenvehicleguide.gov.au/GVGPublicUI/home.aspx Equivalent URI: cleanenergysolutions.org/content/australias-green-vehicle-guide,http:/ Language: English Policies: Regulations Regulations: Fuel Efficiency Standards The Green Vehicle Guide provides information about the environmental performance of new light-duty vehicles sold in Australia, including carbon dioxide (CO2) emissions and fuel consumption. The Guide includes resources such as a fuel calculator, electric vehicle information and a truck buyers

491

Alternative Fuels Data Center: Propane Vehicle Availability  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Propane Propane Printable Version Share this resource Send a link to Alternative Fuels Data Center: Propane Vehicle Availability to someone by E-mail Share Alternative Fuels Data Center: Propane Vehicle Availability on Facebook Tweet about Alternative Fuels Data Center: Propane Vehicle Availability on Twitter Bookmark Alternative Fuels Data Center: Propane Vehicle Availability on Google Bookmark Alternative Fuels Data Center: Propane Vehicle Availability on Delicious Rank Alternative Fuels Data Center: Propane Vehicle Availability on Digg Find More places to share Alternative Fuels Data Center: Propane Vehicle Availability on AddThis.com... More in this section... Propane Basics Benefits & Considerations Stations Vehicles Availability Conversions Emissions Laws & Incentives

492

NREL: Vehicles and Fuels Research - Projects  

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

Projects Projects NREL's vehicles and fuels projects focus on developing, evaluating, and demonstrating innovative technologies that reduce the nation's dependence on imported petroleum and improve air quality. We work in partnership with vehicle manufacturers, equipment suppliers, fuel providers, and others to develop and commercialize vehicle and fuel technologies that meet our nation's energy and environmental goals. Advanced Combustion and Fuels Biofuels Electric Vehicle Grid Integration Energy Storage Fleet Test and Evaluation Power Electronics ReFUEL Laboratory Secure Transportation Data Vehicle Ancillary Loads Reduction Vehicle Systems Analysis Printable Version Vehicles & Fuels Research Home Projects Advanced Combustion & Fuels Biofuels Electric Vehicle Grid Integration

493

Household Vehicles Energy Use Cover Page  

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

Household Vehicles Energy Use Cover Page Glossary Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use Cover Page Contact Us * Feedback *...

494

NREL: Vehicles and Fuels Research - Capabilities  

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

graph illustrating three pathways (biofuel, hydrogen, and electric vehicle) to reduce energy use and greenhouse gas emissions. Electric Vehicle Technologies & Targets 3-D...

495

Vehicle-Grid Interoperability | Argonne National Laboratory  

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

a test vehicle using the laboratory's solar-powered charging station. As plug-in electric vehicles (EVs) become more common, the challenges to managing their interactions with...

496

Electric Drive Vehicle Infrastructure Deployment | Department...  

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

Infrastructure Deployment Electric Drive Vehicle Infrastructure Deployment 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer...

497

Advanced Electric Drive Vehicles | Department of Energy  

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

D.C. tiarravt039schwendeman2010o.pdf More Documents & Publications Advanced Electric Drive Vehicles Advanced Electric Drive Vehicles Energy & Manufacturing Workforce...

498

Distributed Solar Photovoltaics for Electric Vehicle Charging...  

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

DISTRIBUTED SOLAR PHOTOVOLTAICS FOR ELECTRIC VEHICLE CHARGING REGULATORY AND POLICY CONSIDERATIONS ABSTRACT Increasing demand for electric vehicle (EV) charging provides an...

499

NREL: Vehicles and Fuels Research - Success Stories  

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

Electric Vehicle, Grid, and Renewable Synergies Fuel, Engine, and Infrastructure Co-Optimization Red engine. Demo Projects Introduce New Class of Natural Gas Vehicles Graph...

500

Advanced Vehicle Testing Activity (AVTA) ? PHEV Evaluations...  

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

Advanced Vehicle Testing Activity (AVTA) PHEV Evaluations and Data Collection Advanced Vehicle Testing Activity (AVTA) PHEV Evaluations and Data Collection Presentation from...