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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
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1

Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Tools Tools Printable Version Share this resource Send a link to Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology to someone by E-mail Share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Facebook Tweet about Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Twitter Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Google Bookmark Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Delicious Rank Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on Digg Find More places to share Alternative Fuels Data Center: Vehicle Cost Calculator Assumptions and Methodology on AddThis.com...

2

Alternative fuels and vehicles choice model  

DOE Green Energy (OSTI)

This report describes the theory and implementation of a model of alternative fuel and vehicle choice (AFVC), designed for use with the US Department of Energy`s Alternative Fuels Trade Model (AFTM). The AFTM is a static equilibrium model of the world supply and demand for liquid fuels, encompassing resource production, conversion processes, transportation, and consumption. The AFTM also includes fuel-switching behavior by incorporating multinomial logit-type equations for choice of alternative fuel vehicles and alternative fuels. This allows the model to solve for market shares of vehicles and fuels, as well as for fuel prices and quantities. The AFVC model includes fuel-flexible, bi-fuel, and dedicated fuel vehicles. For multi-fuel vehicles, the choice of fuel is subsumed within the vehicle choice framework, resulting in a nested multinomial logit design. The nesting is shown to be required by the different price elasticities of fuel and vehicle choice. A unique feature of the AFVC is that its parameters are derived directly from the characteristics of alternative fuels and vehicle technologies, together with a few key assumptions about consumer behavior. This not only establishes a direct link between assumptions and model predictions, but facilitates sensitivity testing, as well. The implementation of the AFVC model as a spreadsheet is also described.

Greene, D.L. [Oak Ridge National Lab., TN (United States). Center for Transportation Analysis

1994-10-01T23:59:59.000Z

3

What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice  

E-Print Network (OSTI)

The Relationship of Vehicle Type Choice to Personality,on revealed and stated vehicle type choice and utilizationA disaggregate model of auto-type choice. Transportation

Choo, S; Mokhtarian, Patricia L

2004-01-01T23:59:59.000Z

4

Social Implications of Vehicle Choice and Use  

E-Print Network (OSTI)

Prices by Vehicle Type and Manufacturer Fuel Efficient andto understand how vehicle manufacturers and dealers sharePrices by Vehicle Type and Manufacturer Section 3.4. Section

Langer, Ashley Anne

2010-01-01T23:59:59.000Z

5

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

E-Print Network (OSTI)

the agriculture industry to electric vehicles. Organizationsindustry, however, strongly prefers gasoline vehicle to the electricelectric vehicles. Methanol appears to be the alternative fuel of choice by agriculture industry.

Crane, Soheila Soltani

1996-01-01T23:59:59.000Z

6

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

7

What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice  

E-Print Network (OSTI)

on revealed and stated vehicle type choice and utilizationA disaggregate model of auto-type choice. Transportationforecasting automobile type-choice. Transportation Research

Choo, Sangho; Mokhtarian, Patricia L.

2004-01-01T23:59:59.000Z

8

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

E-Print Network (OSTI)

Error gov. Error model model CNG constant Methanol constantcompressed natural gas (CNG) vehicles with over 300 milestime or refueling cost of CNG vehicles? My fuel choice

Crane, Soheila Soltani

1996-01-01T23:59:59.000Z

9

TAFV Alternative Fuels and Vehicles Choice Model Documentation  

DOE Green Energy (OSTI)

A model for predicting choice of alternative fuel and among alternative vehicle technologies for light-duty motor vehicles is derived. The nested multinomial logit (NML) mathematical framework is used. Calibration of the model is based on information in the existing literature and deduction based on assuming a small number of key parameters, such as the value of time and discount rates. A spreadsheet model has been developed for calibration and preliminary testing of the model.

Greene, D.L.

2001-07-27T23:59:59.000Z

10

TAFV Alternative Fuels and Vehicles Choice Model Documentation  

NLE Websites -- All DOE Office Websites (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

11

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

E-Print Network (OSTI)

s early market for hybrid electric vehicles. TransportationThe case of hybrid-electric vehicles Jonn Axsen a, *, Deanpreferences Hybrid-electric vehicles Discrete choice model

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

2009-01-01T23:59:59.000Z

12

PRISM 2.0: Mixed Logit Consumer Vehicle Choice Modeling Using Revealed Preference Data  

Science Conference Proceedings (OSTI)

Predicting the penetration of electric vehicles into the automotive market is challenging because these vehicles do not exist in the market today and therefore consumer reaction is largely unknown. One way to estimate consumer demand for electric vehicles is to model the attribute bundles of vehicles that are present in the market today and predict market share using state-of-the-art discrete choice demand models.This research develops a choice-based demand model to extract consumer ...

2013-09-30T23:59:59.000Z

13

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

E-Print Network (OSTI)

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

Lipman, Timothy

1999-01-01T23:59:59.000Z

14

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

E-Print Network (OSTI)

level, the choice alternatives are cooling and no cooling.space heating alternatives with central cooling (gas, oil,choice model. Alternative formulations of the cooling choice

Wood, D.J.

2010-01-01T23:59:59.000Z

15

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

E-Print Network (OSTI)

EPRI EA-3409, "Household Appliance Choice: Revision of REEPSEA",3409: "HOUSEHOLD APPLIANCE CHOICE: REVISION OF REEPSreport EA-3409, "Household Appliance Choice: Revi- sion of

Wood, D.J.

2010-01-01T23:59:59.000Z

16

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

SciTech Connect

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

17

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice (Fact Sheet)  

Science Conference Proceedings (OSTI)

Flexible Fuel vehicles are able to operate using more than one type of fuel. FFVs can be fueled with unleaded gasoline, E85, or any combination of the two. Today more than 7 million vehicles on U.S. highways are flexible fuel vehicles. The fact sheet discusses how E85 affects vehicle performance, the costs and benefits of using E85, and how to find E85 station locations.

Not Available

2010-03-01T23:59:59.000Z

18

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice (Revised)  

DOE Green Energy (OSTI)

Clean Cities fact sheet describing aspects of flexible fuel vehicles such as use of E85, special features, benefits of use, costs, and fueling locations. It includes discussion on performance and how to identify these vehicles as well as listing additional resources.

Not Available

2008-06-01T23:59:59.000Z

19

Brownstone and Fang 1 A VEHICLE OWNERSHIP AND UTILIZATION CHOICE MODEL WITH ENDOGENOUS RESIDENTIAL DENSITY  

E-Print Network (OSTI)

This paper explores the impact of residential density on households ’ vehicle type and usage choices using the 2001 National Household Travel Survey (NHTS). Attempts to quantify the effect of urban form on households ’ vehicle choice and utilization often encounter the problem of sample selectivity. Household characteristics that are unobservable to the researchers might determine simultaneously where to live, what vehicles to choose, and how much to drive them. Unless this simultaneity is modeled, any relationship between residential density and vehicle choice may be biased. This paper extends the Bayesian multivariate ordered probit and tobit model developed in Fang (2008) to treat local residential density as endogenous. The model includes equations for vehicle ownership and usage in terms of number of cars, number of trucks (vans, sports utility vehicles, and pickup trucks), miles traveled by cars, and miles traveled by trucks. We carry out policy simulations which show that an increase in residential density has a negligible effect on car choice and utilization, but slightly reduces truck choice and utilization. We also perform an out-of-sample forecast using a holdout sample to test the robustness of the model. * Corresponding author.

David Brownstone; Hao (audrey Fang

2009-01-01T23:59:59.000Z

20

Flexible Fuel Vehicles: Providing a Renewable Fuel Choice  

DOE Green Energy (OSTI)

This Clean Cities Program fact sheet describes aspects of flexible fuel vehicles such as use of E85, special features, benefits of use, costs, and fueling locations. It discusses performance and lists additional resources.

Not Available

2007-05-01T23:59:59.000Z

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.


21

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

SciTech Connect

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

22

Variation in Estimated Ozone-Related Health Impacts of Climate Change due to Modeling Choices and Assumptions  

SciTech Connect

Future climate change may cause air quality degradation via climate-induced changes in meteorology, atmospheric chemistry, and emissions into the air. Few studies have explicitly modeled the potential relationships between climate change, air quality, and human health, and fewer still have investigated the sensitivity of estimates to the underlying modeling choices.

Post, Ellen S.; Grambsch, A.; Weaver, C. P.; Morefield, Philip; Huang, Jin; Leung, Lai-Yung R.; Nolte, Christopher G.; Adams, P. J.; Liang, Xin-Zhong; Zhu, J.; Mahoney, Hardee

2012-11-01T23:59:59.000Z

23

What type of vehicle do people drive? The role of attitude and lifestyle in influencing vehicle type choice  

E-Print Network (OSTI)

background not only to vehicle manufacturers, but also todomestic and foreign vehicle manufacturers, and millions ofmakers as well as vehicle manufacturers. For example, as

Choo, S; Mokhtarian, Patricia L

2004-01-01T23:59:59.000Z

24

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

E-Print Network (OSTI)

7: Change in Sales of Hybrid Vehicles Due to Federal Taxof alternative fuels and hybrid vehicles. A primary policythe federal level to hybrid vehicles. This policy, begun in

Martin, Elliot William

2009-01-01T23:59:59.000Z

25

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

E-Print Network (OSTI)

7: Change in Sales of Hybrid Vehicles Due to Federal Taxof alternative fuels and hybrid vehicles. A primary policythe federal level to hybrid vehicles. This policy, begun in

Martin, Elliott William

2009-01-01T23:59:59.000Z

26

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

Alternative Fuels and Advanced Vehicles Data Center (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

27

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

E-Print Network (OSTI)

of the Top Five Manufacturers by Vehicle Type. (Source:Table 7: U.S. New Vehicle Sales by Manufacturer and VehicleTable 8: U.S. New Vehicle Sales by Manufacturer and Vehicle

Liu, Jenny Hsing-I

2010-01-01T23:59:59.000Z

28

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

E-Print Network (OSTI)

Economy and Vehicle Incentives: An Analysis of Hybrid TaxEconomy and Vehicle Incentives: An Analysis of Hybrid TaxEconomy and Vehicle Incentives: An Analysis of Hybrid Tax

Martin, Elliott William

2009-01-01T23:59:59.000Z

29

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

E-Print Network (OSTI)

Economy and Vehicle Incentives: An Analysis of Hybrid TaxEconomy and Vehicle Incentives: An Analysis of Hybrid TaxEconomy and Vehicle Incentives: An Analysis of Hybrid Tax

Martin, Elliot William

2009-01-01T23:59:59.000Z

30

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

E-Print Network (OSTI)

and subsidies for hybrid or alternative fuel vehicles (seesubsidies in the form of tax credits or deductions on hybrid vehicle

Liu, Jenny Hsing-I

2010-01-01T23:59:59.000Z

31

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

E-Print Network (OSTI)

4.3.1 Tax Incentives for Hybrid Vehicles . . . . . .adoption. Tax Incentives for Hybrid Vehicles Adoption of new

Liu, Jenny Hsing-I

2010-01-01T23:59:59.000Z

32

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

E-Print Network (OSTI)

about 20% will be compressed natural gas, and almost 21%if we could make compressed natural gas (CNG) vehicles withabout 20% will be compressed natural gas, and almost 21%

Crane, Soheila Soltani

1996-01-01T23:59:59.000Z

33

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

E-Print Network (OSTI)

4.2 Hybrid Vehicle Price Decreases due to Learning-by-Doing4.3.1 Tax Incentives for Hybrid Vehicles . . . . . .Predicted percentage of hybrid vehicle sales with different

Liu, Jenny Hsing-I

2010-01-01T23:59:59.000Z

34

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

35

DOE Hydrogen Analysis Repository: Advanced Vehicle Introduction...  

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

Keywords: Vehicle characteristics; market penetration; advanced technology vehicles; hybrid electric vehicle (HEV) Purpose Vehicle Choice Model - Estimate market penetration...

36

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

E-Print Network (OSTI)

D R.L. Polk & Co. , 2006. Hybrid Vehicle Registrations Morecapital cost of the hybrid vehicle, subsidy providedfor the hybrid vehicle, horsepower of the hybrid vehicle,

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

2009-01-01T23:59:59.000Z

37

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

E-Print Network (OSTI)

compressednatural gas (CNG), methanol, and electric (EV).avallabday for ded;cated CNG vehicle Service s~atlon avada~CNO’Statmn Wagon (dummy) CNG’*Van(dummy) CNG-~Utlhty(dummy)

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

1996-01-01T23:59:59.000Z

38

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

E-Print Network (OSTI)

compressednatural gas (CNG), methanol, and electric (EV).avallabday for ded;cated CNG vehicle Service s~atlon avada~CNO’Statmn Wagon (dummy) CNG’*Van(dummy) CNG-~Utlhty(dummy)

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

1996-01-01T23:59:59.000Z

39

Vehicles  

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

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....

40

Tri-City Herald OpEd: Electric Vehicles are a smart choice  

SciTech Connect

Why are so many of us at the Pacific Northwest National Laboratory, a national thought leader in power industry issues located right here in the Tri-Cities, so bullish on the future of EVs? And why do we think it's so important that this country, especially THIS part of the country, be leaders in the adoption of EVs? Is it that we all just happen to like driving polluting golf carts? The answer is that, like most everyone else, most of us here at PNNL drive to work every day, and like most people, we care about the cost of gasoline and the impact that burning imported oil has on the environment and on our foreign policy. The reality is that electric vehicles are simply more efficient, pollute much less, use locally-generated energy, and cost MUCH less to drive.

Christensen, Peter C.; Haas, Anne M.

2010-12-10T23:59:59.000Z

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

Environmental Assessment of Plug-In Hybrid Electric Vehicles, Volume 2: United States Air Quality Analysis Based on AEO-2006 Assumptions for 2030  

Science Conference Proceedings (OSTI)

How would air quality and greenhouse gas emissions be affected if significant numbers of Americans drove cars that were fueled by the power grid? A recently completed assessment conducted by the Electric Power Research Institute and the Natural Resources Defense Council made a detailed study of the question looking at a variety of scenarios involving the U.S. fleet of power generation and its fleet of light-duty and medium-duty cars and trucks. The study focused on plug-in hybrid electric vehicles (PHEVs...

2007-07-23T23:59:59.000Z

42

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

E-Print Network (OSTI)

capital cost of the hybrid vehicle, subsidy provided for thesubsidy Same as current vehicle (150 HP) Small SUV hybrid-hybrid vehicle fuel ef?ciency, and gasoline price. While capital cost, subsidy

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

2009-01-01T23:59:59.000Z

43

Vehiculos de Combustible Flexible: Brindando Opciones en Combustible Renovable (Flexible Fuel Vehicles: Providing a Renewable Fuel Choice) (Fact Sheet)  

SciTech Connect

The fact sheet discusses how E85 affects vehicle performance, the costs and benefits of using E85, and how to find E85 station locations.

2010-05-01T23:59:59.000Z

44

Choices and Requirements of Batteries for EVs, HEVs, PHEVs (Presentation)  

DOE Green Energy (OSTI)

This presentation describes the choices available and requirements for batteries for electric vehicles, hybrid electric vehicles, plug-in hybrid electric vehicles.

Pesaran, A. A.

2011-04-01T23:59:59.000Z

45

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

46

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

47

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network (OSTI)

by electric and hybrid vehicles", SAE Technical Papers No.household response to hybrid vehicles. Finally, we suggestas electric or hybrid vehicles. Transitions in choices of

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

48

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.

49

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

50

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.

51

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.

52

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.

53

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

54

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

55

COMBINING STATED AND REVEALED CHOICE RESEARCH TO INFORM ENERGY SYSTEM  

E-Print Network (OSTI)

from a vehicle attribute database. RP dynamics were assessed by comparing models estimated from regions....................................................................................................33 2.2.2 Vehicle Database technologies, including choices among appliances (Nanduri, Tiedemann, & Bilodeau, 2002), energy suppliers

56

The disciplined use of simplifying assumptions  

Science Conference Proceedings (OSTI)

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

Charles Rich; Richard C. Waters

1982-04-01T23:59:59.000Z

57

Battery Choices for Different Plug-in HEV Configurations (Presentation)  

DOE Green Energy (OSTI)

Presents battery choices for different plug-in hybrid electric vehicle (HEV) configurations to reduce cost and to improve performance and life.

Pesaran, A.

2006-07-12T23:59:59.000Z

58

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

59

Alternative Vehicles  

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

There are a number of alternative and advanced vehicles—or vehicles that run on alternative fuels. Learn more about the following types of vehicles:

60

Assumptions to the Annual Energy Outlook 2012  

U.S. Energy Information Administration (EIA)

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

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

The impact of residential density on vehicle usage and fuel consumption  

E-Print Network (OSTI)

characteristics on household residential choice and auto2009. The impact of residential density on vehicle usage and2010-05) The impact of residential density on vehicle usage

Kim, Jinwon; Brownstone, David

2010-01-01T23:59:59.000Z

62

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.

63

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Statewide California Electricity Demand. [accessed June 22,fuel efficiency and electricity demand assumptions used into added vehicle electricity demand in the BAU (no IGCC)

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

64

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.

65

Social Implications of Vehicle Choice and Use  

E-Print Network (OSTI)

women prefer sedans, with the Toyota Camry Sedan topping theJeep Liberty Chevy Equinox Toyota Highlander Hyundai TucsonSilverado Ford F-150 Toyota Tacoma Chevrolet Colorado Dodge

Langer, Ashley Anne

2010-01-01T23:59:59.000Z

66

Social Implications of Vehicle Choice and Use  

E-Print Network (OSTI)

do increase (e.g. , the 2006 Prius or the 2006 Escape Hy-$998 for the 2006 Toyota Prius. And, al- though manufacturerFigures 3.6 and 3.7. SRT4 Prius Prius Prius SRT4 SRT4 Prius

Langer, Ashley Anne

2010-01-01T23:59:59.000Z

67

Climate Action Planning Tool Formulas and Assumptions  

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

CLIMATE ACTION PLANNING TOOL FORMULAS AND ASSUMPTIONS Climate Action Planning Tool Formulas and Assumptions The Climate Action Planning Tool calculations use the following formulas and assumptions to generate the business-as-usual scenario and the greenhouse gas emissions reduction goals for the technology options. Business-as-Usual Scenario All Scope 1 (gas, oil, coal, fleet, and electricity) and Scope 2 calculations increase at a rate equal to the building growth rate. Scope 3 calculations (commuters and business travel) increase at a rate equal to the population growth rate. Assumptions New buildings will consume energy at the same rate (energy use intensity) as existing campus buildings. Fleet operations will be proportional to total building area.

68

Hierarchy of Mesoscale Flow Assumptions and Equations  

Science Conference Proceedings (OSTI)

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

P. Thunis; R. Bornstein

1996-02-01T23:59:59.000Z

69

Energy Basics: Electric Vehicles  

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

& Fuels Printable Version Share this resource Fuels Vehicles Electric Vehicles Flexible Fuel Vehicles Fuel Cell Vehicles Hybrid Electric Vehicles Natural Gas Vehicles Propane...

70

Energy Basics: Propane Vehicles  

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

& Fuels Printable Version Share this resource Fuels Vehicles Electric Vehicles Flexible Fuel Vehicles Fuel Cell Vehicles Hybrid Electric Vehicles Natural Gas Vehicles Propane...

71

Energy Basics: Alternative Vehicles  

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

& Fuels Printable Version Share this resource Fuels Vehicles Electric Vehicles Flexible Fuel Vehicles Fuel Cell Vehicles Hybrid Electric Vehicles Natural Gas Vehicles Propane...

72

Energy Basics: Alternative Vehicles  

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

fuels. Learn more about the following types of vehicles: Electric Vehicles Flexible Fuel Vehicles Fuel Cell Vehicles Hybrid Electric Vehicles Natural Gas Vehicles Propane...

73

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

E-Print Network (OSTI)

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

74

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.

75

EERE: Vehicles  

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

Technologies Office and initiatives, using efficient vehicles, and access vehicle and fuel information. Photo of a ethanol and biodiesel fueling station Photo of three big-rig...

76

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

77

Vehicle Technologies Office: Fact #430: June 26, 2006 Trends...  

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

important to you in your choice of your next vehicle?" was the question asked in a June 2006 survey. The choices were dependability, safety, fuel economy, quality, and low price....

78

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

79

Comparative Modeling Analysis of Plug-in Electric Vehicle Architectures  

Science Conference Proceedings (OSTI)

This report describes the assumptions and results for advanced vehicle simulation analysis. A midsize sedan was used to investigate the conventional, pre-transmission parallel, input power-split, series, and full electric architectures. Variations of these architectures were also investigated such as charge-sustaining hybrid electric vehicles, charge-depleting plug-in hybrid electric vehicles, and extended-range electric-vehicles (EREVs). The differences in these vehicle architectures and variations are ...

2010-12-21T23:59:59.000Z

80

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.

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

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

82

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

83

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.

84

Vehicle Technologies Office: Hybrid and Vehicle Systems  

NLE Websites -- All DOE Office Websites (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

85

Advanced Vehicle Testing Activity: Urban Electric Vehicles  

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

Urban Electric Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Urban Electric Vehicles on Facebook Tweet about Advanced Vehicle Testing Activity: Urban...

86

Advanced Vehicle Testing Activity: Hybrid Electric Vehicles  

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

Hybrid Electric Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Hybrid Electric Vehicles on Facebook Tweet about Advanced Vehicle Testing Activity: Hybrid...

87

Advanced Vehicle Testing Activity: Neighborhood Electric Vehicles  

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

Neighborhood Electric Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Neighborhood Electric Vehicles on Facebook Tweet about Advanced Vehicle Testing...

88

Advanced Vehicle Testing Activity: Urban Electric Vehicles  

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

Urban Electric Vehicles Toyota Urban Electric Vehicle Urban electric vehicles (UEVs) are regular passenger vehicles with top speeds of about 60 miles per hour (mph) and a...

89

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

Annual Energy Outlook 2012 (EIA)

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

90

Assumptions to the Annual Energy Outlook - Table 41  

Annual Energy Outlook 2012 (EIA)

> Forecasts >Assumptions to the Annual Energy Outlook> Download Report Assumption to the Annual Energy Outlook Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF...

91

Overview of Light-Duty Vehicle Studies  

NLE Websites -- All DOE Office Websites (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

92

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

Alternative Fuels and Advanced Vehicles Data Center (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

93

EIA - Assumptions to the Annual Energy Outlook 2010 - Transportation...  

Gasoline and Diesel Fuel Update (EIA)

per vehicle. EIA assumes that credit allowances for PZEVs will be met with conventional vehicle technology, hybrid vehicles will be sold to meet the AT-PZEV allowances, and that...

94

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).

95

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.

96

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.

97

Vehicle Technologies Office: Vehicle Technologies Office Recognizes  

NLE Websites -- All DOE Office Websites (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...

98

Integrated Vehicle Thermal Management for Advanced Vehicle Propulsion Technologies  

DOE Green Energy (OSTI)

A critical element to the success of new propulsion technologies that enable reductions in fuel use is the integration of component thermal management technologies within a viable vehicle package. Vehicle operation requires vehicle thermal management systems capable of balancing the needs of multiple vehicle systems that may require heat for operation, require cooling to reject heat, or require operation within specified temperature ranges. As vehicle propulsion transitions away from a single form of vehicle propulsion based solely on conventional internal combustion engines (ICEs) toward a wider array of choices including more electrically dominant systems such as plug-in hybrid electric vehicles (PHEVs), new challenges arise associated with vehicle thermal management. As the number of components that require active thermal management increase, so do the costs in terms of dollars, weight, and size. Integrated vehicle thermal management is one pathway to address the cost, weight, and size challenges. The integration of the power electronics and electric machine (PEEM) thermal management with other existing vehicle systems is one path for reducing the cost of electric drive systems. This work demonstrates techniques for evaluating and quantifying the integrated transient and continuous heat loads of combined systems incorporating electric drive systems that operate primarily under transient duty cycles, but the approach can be extended to include additional steady-state duty cycles typical for designing vehicle thermal management systems of conventional vehicles. The work compares opportunities to create an integrated low temperature coolant loop combining the power electronics and electric machine with the air conditioning system in contrast to a high temperature system integrated with the ICE cooling system.

Bennion, K.; Thornton, M.

2010-04-01T23:59:59.000Z

99

Assumptions to the Annual Energy Outlook 2013  

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

Demand Module Demand Module This page inTenTionally lefT blank 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.

100

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

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

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

102

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

103

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

104

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

105

Electric vehicles  

SciTech Connect

Quiet, clean, and efficient, electric vehicles (EVs) may someday become a practical mode of transportation for the general public. Electric vehicles can provide many advantages for the nation's environment and energy supply because they run on electricity, which can be produced from many sources of energy such as coal, natural gas, uranium, and hydropower. These vehicles offer fuel versatility to the transportation sector, which depends almost solely on oil for its energy needs. Electric vehicles are any mode of transportation operated by a motor that receives electricity from a battery or fuel cell. EVs come in all shapes and sizes and may be used for different tasks. Some EVs are small and simple, such as golf carts and electric wheel chairs. Others are larger and more complex, such as automobile and vans. Some EVs, such as fork lifts, are used in industries. In this fact sheet, we will discuss mostly automobiles and vans. There are also variations on electric vehicles, such as hybrid vehicles and solar-powered vehicles. Hybrid vehicles use electricity as their primary source of energy, however, they also use a backup source of energy, such as gasoline, methanol or ethanol. Solar-powered vehicles are electric vehicles that use photovoltaic cells (cells that convert solar energy to electricity) rather than utility-supplied electricity to recharge the batteries. This paper discusses these concepts.

Not Available

1990-03-01T23:59:59.000Z

106

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).

107

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).

108

Neighborhood Electric Vehicles  

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

Neighborhood Electric Vehicles A neighborhood electric vehicle (NEV) is 4-wheeled vehicle, larger than a golf cart but smaller than most light-duty passenger vehicles. NEVs are...

109

Energy Basics: Propane Vehicles  

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

gasoline vehicles. Dedicated propane vehicles are designed to run only on propane; bi-fuel propane vehicles have two separate fueling systems that enable the vehicle to use...

110

Flex-fuel Vehicles  

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

Vehicles Stations that Sell E85 (Alternative Fuels and Advanced Vehicles Data Center AFDC) Flexible Fuel Vehicle (FFV) Cost Calculator (compare costs for operating your vehicle...

111

Electric Vehicles  

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

Electricity can be used as a transportation fuel to power battery electric vehicles (EVs). EVs store electricity in an energy storage device, such as a battery.

112

Advanced Vehicle Testing Activity: Neighborhood Electric Vehicle...  

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

Procedures to someone by E-mail Share Advanced Vehicle Testing Activity: Neighborhood Electric Vehicle Specifications and Test Procedures on Facebook Tweet about Advanced Vehicle...

113

Advanced Vehicle Testing Activity - Neighborhood Electric Vehicles  

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

Neighborhood Electric Vehicles What's New 2013 BRP Commander Electric (PDF 195KB) A Neighborhood Electric Vehicle (NEV) is technically defined as a Low Speed Vehicle (LSV)...

114

Advanced Vehicle Testing Activity: Alternative Fuel Vehicles  

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

Alternative Fuel Vehicles SuperShuttle CNG Van Alternative fuel vehicles (AFVs) are vehicles designed to operate on alternative fuels such as compressed and liquefied natural gas,...

115

Advanced Vehicle Testing Activity: Neighborhood Electric Vehicle...  

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

Projects to someone by E-mail Share Advanced Vehicle Testing Activity: Neighborhood Electric Vehicle Special Projects on Facebook Tweet about Advanced Vehicle Testing...

116

Advanced Vehicle Testing Activity - Neighborhood Electric Vehicles  

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

NEVAmerica Baseline Performance Testing 2010 Electric Vehicles International Neighborhood Electric Vehicle 2010 Electric Vehicles International E-Mega 2009 NEVAmerica Baseline...

117

Vehicle Technologies Office: Hybrid and Vehicle Systems  

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

Hybrid and Vehicle Systems Hybrid and vehicle systems research provides an overarching vehicle systems perspective to the technology research and development (R&D) activities of...

118

New EPA Fuel Economy and Environment Label - Gasoline Vehicles  

NLE Websites -- All DOE Office Websites (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

119

Energy Basics: Fuel Cell Vehicles  

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

& Fuels Printable Version Share this resource Fuels Vehicles Electric Vehicles Flexible Fuel Vehicles Fuel Cell Vehicles Hybrid Electric Vehicles Natural Gas Vehicles Propane...

120

Energy Basics: Flexible Fuel Vehicles  

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

& Fuels Printable Version Share this resource Fuels Vehicles Electric Vehicles Flexible Fuel Vehicles Fuel Cell Vehicles Hybrid Electric Vehicles Natural Gas Vehicles Propane...

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

Energy Basics: Hybrid Electric Vehicles  

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

& Fuels Printable Version Share this resource Fuels Vehicles Electric Vehicles Flexible Fuel Vehicles Fuel Cell Vehicles Hybrid Electric Vehicles Natural Gas Vehicles Propane...

122

Energy Basics: Natural Gas Vehicles  

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

& Fuels Printable Version Share this resource Fuels Vehicles Electric Vehicles Flexible Fuel Vehicles Fuel Cell Vehicles Hybrid Electric Vehicles Natural Gas Vehicles Propane...

123

Selection of Lightweighting Strategies for Use Across an Automaker's Vehicle Fleet  

E-Print Network (OSTI)

Vehicle lightweighting, or mass reduction, via materials substitution is a common approach to improve fuel economy. The many subsystems in a vehicle, choices of materials, and manufacturing processes available, though, ...

Kirchain, Randolph E., Jr.

124

Diesel Vehicles  

NLE Websites -- All DOE Office Websites (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.

125

Vehicle Technologies Office: Key Activities in Vehicles  

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

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

126

VEHICLE SPECIFICATIONS  

NLE Websites -- All DOE Office Websites (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

127

Vehicle Specifications  

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

E27C177982 Vehicle Specifications Engine: 2.5 L 4-cylinder Electric Motor: 105 kW Battery: NiMH Seatbelt Positions: Five Payload: 981 lbs Features: Regenerative braking Traction...

128

Vehicle Specifications  

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

E87C172351 Vehicle Specifications Engine: 2.5 L 4-cylinder Electric Motor: 105 kW Battery: NiMH Seatbelt Positions: Five Payload: 981 lbs Features: Regenerative braking Traction...

129

Vehicle Specifications  

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

Z07S838122 Vehicle Specifications Engine: 2.4 L 4 cylinder Electric Motor: 14.5 kW Battery: NiMH Seatbelt Positions: Five Payload: 1,244 lbs Features: Regenerative braking wABS 4...

130

Vehicle Specifications  

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

2AR194699 Vehicle Specifications Engine: 2.5 L 4-cylinder Electric Motor: 60 kW Battery: NiMH Seatbelt Positions: Five Payload: 850 lbs Features: Regenerative braking Traction...

131

Vehicle Specifications  

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

2WD VIN 1FMYU95H75KC45881 Vehicle Specifications Engine: 2.3 L 4-cylinder Electric Motor: 70 kW Battery: NiMH Seatbelt Positions: Five Features: Four wheel drive Regenerative...

132

Vehicle Specifications  

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

4AR144757 Vehicle Specifications Engine: 2.5 L 4-cylinder Electric Motor: 60 kW Battery: NiMH Seatbelt Positions: Five Payload: 850 lbs Features: Regenerative braking Traction...

133

Vehicle Specifications  

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

Z37S813344 Vehicle Specifications Engine: 2.4 L 4 cylinder Electric Motor: 14.5 kW Battery: NiMH Seatbelt Positions: Five Payload: 1,244 lbs Features: Regenerative braking wABS 4...

134

Vehicle Specifications  

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

4WD VIN 1FMCU96H15KE18237 Vehicle Specifications Engine: 2.4 L 4-cylinder Electric Motor: 70 kW Battery: NiMH Seatbelt Positions: Five Features: Four wheel drive Regenerative...

135

Robotic vehicle  

DOE Patents (OSTI)

A robotic vehicle is described for travel through a conduit. The robotic vehicle includes forward and rear housings each having a hub portion, and each being provided with surface engaging mechanisms for selectively engaging the walls of the conduit such that the housings can be selectively held in stationary positions within the conduit. The surface engaging mechanisms of each housing includes a plurality of extendable appendages, each of which is radially extendable relative to the operatively associated hub portion between a retracted position and a radially extended position. The robotic vehicle also includes at least three selectively extendable members extending between the forward and rear housings, for selectively changing the distance between the forward and rear housings to effect movement of the robotic vehicle. 20 figs.

Box, W.D.

1997-02-11T23:59:59.000Z

136

VEHICLE SPECIFICATIONS  

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

SPECIFICATIONS 1 Vehicle VIN:19XFB5F57CE002590 Class: Compact Seatbelt Positions: 5 Type: Sedan CARB 2 : AT-PZEV EPA CityHwyCombined 3 : 273832 MPGe Tires Manufacturer:...

137

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.

138

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

Annual Energy Outlook 2012 (EIA)

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

139

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

Annual Energy Outlook 2012 (EIA)

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

140

Alternative Vehicle Basics  

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

There are a number of alternative and advanced vehicles—or vehicles that run on alternative fuels. Learn more about the following types of 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.


141

Advanced Vehicle Testing  

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

combustion engine vehicles operating on 100% hydrogen (H2) and H2CNG (compressed natural gas) blended fuels, hybrid electric vehicles, neighborhood electric vehicles, urban...

142

Vehicles | Open Energy Information  

Open Energy Info (EERE)

Vehicles Jump to: navigation, search TODO: Add description Related Links List of Companies in Vehicles Sector List of Vehicles Incentives Retrieved from "http:en.openei.orgw...

143

VEHICLE SPECIFICATIONS  

NLE Websites -- All DOE Office Websites (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

144

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

145

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.

146

Vehicles News  

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

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

147

Advanced Vehicle Testing Activity: Neighborhood Electric Vehicles  

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

Neighborhood Electric Vehicles Ford Think Neighbor A neighborhood electric vehicle (NEV) is a four-wheeled vehicle that has a top speed of 20-25 miles per hour (mph). It is larger...

148

VEHICLE DETAILS, BATTERY DESCRIPTION AND SPECIFICATIONS Vehicle...  

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

Page 1 VEHICLE DETAILS, BATTERY DESCRIPTION AND SPECIFICATIONS Vehicle Details Base Vehicle: 2011 Nissan Leaf VIN: JN1AZ0CP5BT000356 Propulsion System: BEV Electric Machine: 80 kW...

149

Robotic vehicle  

DOE Patents (OSTI)

A robotic vehicle is described for travel through an enclosed or partially enclosed conduit or pipe including vertical and/or horizontal conduit or pipe. The robotic vehicle comprises forward and rear housings each provided with a surface engaging mechanism for selectively engaging the walls of the conduit through which the vehicle is travelling, whereby the housings are selectively held in a stationary position within the conduit. The vehicle also includes at least three selectively extendable members, each of which defines a cavity therein. The forward end portion of each extendable member is secured to the forward housing and the rear end portion of each housing is secured to the rear housing. Each of the extendable members is independently extendable from a retracted position to an extended position upon the injection of a gas under pressure into the cavity of the extendable member such that the distance between the forward housing and the rear housing can be selectively increased. Further, each of the extendable members is independently retractable from the extended position to the retracted position upon the application of a vacuum to the cavity of the extendable member such that the distance between the forward housing and the rear housing can be selectively decreased. 11 figures.

Box, W.D.

1994-03-15T23:59:59.000Z

150

Robotic vehicle  

DOE Patents (OSTI)

A robotic vehicle is described for travel through an enclosed or partially enclosed conduit or pipe including vertical and/or horizontal conduit or pipe. The robotic vehicle comprises forward and rear housings each provided with a surface engaging mechanism for selectively engaging the walls of the conduit through which the vehicle is travelling, whereby the housings are selectively held in a stationary position within the conduit. The vehicle also includes at least three selectively extendable members, each of which defines a cavity therein. The forward end portion of each extendable member is secured to the forward housing and the rear end portion of each housing is secured to the rear housing. Each of the extendable members is independently extendable from a retracted position to an extended position upon the injection of a gas under pressure into the cavity of the extendable member such that the distance between the forward housing and the rear housing can be selectively increased. Further, each of the extendable members is independently retractable from the extended position to the retracted position upon the application of a vacuum to the cavity of the extendable member such that the distance between the forward housing and the rear housing can be selectively decreased. 14 figs.

Box, W.D.

1996-03-12T23:59:59.000Z

151

Advanced Vehicle Testing Activity - Urban Electric Vehicles  

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

are designed to carry two or four passengers. Click here for more information About Urban Electric Vehicles (PDF 128KB) Vehicle Testing Reports Ford THINK City Ford Thnk...

152

Vehicle Technologies Office: Advanced Vehicle Testing Activity  

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

that feature one or more advanced technologies, including: Plug-in hybrid electric vehicle technologies Extended range electric vehicle technologies Hybrid electric, pure...

153

Vehicle Smart  

E-Print Network (OSTI)

Abstract: This article explores criteria necessary for reliable communication between electric vehicles (EVs) and electric vehicle service equipment (EVSE). Data will demonstrate that a G3-PLC system has already met the criteria established by the automotive and utility industries. Multiple international tests prove that a G3-PLC implementation is the optimal low-frequency solution. A similar version of this article appeared in the August 2011 issue of Power Systems Design magazine. For the first time, electric vehicles (EVs) and plug-in hybrid electric vehicles (PHEVs) are building a viable market of mobile electrical energy consumers. Not surprisingly, new relationships between electricity providers (the utility companies) and automobile owners are emerging. Many utilities already offer, or are planning to offer, special tariffs, including fixed monthly rates, to EV owners. EVs impose new dynamics and demands on the electrical supply itself. There is, in fact, a symbiotic relationship developing between the EV and energy provider. Because of their large storage capacity, often 10kVH, EVs draw currents of 80A or greater over a period of hours. This strains electrical grid components, especially low-voltage transformers which can overheat and fail while serving consumers ' homes. Meanwhile, the EVs ' electrical storage capacity can also reverse the current flow. It can then supply power back to the grid, thereby helping the utilities to meet demand peaks without starting up high-carbon-output diesel generators. To enable this new dynamic relationship, the EV and the energy provider must communicate. The utility must be able to authenticate the individual vehicle, and bidirectional communications is needed to support negotiation of power flow rates and direction. To

Jim Leclare; Principal Member; Technical Staff

2012-01-01T23:59:59.000Z

154

Alternative Vehicle Basics | Department of Energy  

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

following types of vehicles: Electric Vehicles Flexible Fuel Vehicles Fuel Cell Vehicles Hybrid Electric Vehicles Natural Gas Vehicles Propane Vehicles Addthis Related Articles...

155

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

156

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

157

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

158

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

159

Prognostic Evaluation of Assumptions Used by Cumulus Parameterizations  

Science Conference Proceedings (OSTI)

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

Georg A. Grell

1993-03-01T23:59:59.000Z

160

Computational soundness for standard assumptions of formal cryptography  

E-Print Network (OSTI)

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

Herzog, Jonathan, 1975-

2004-01-01T23:59:59.000Z

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

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

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

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

162

Assumptions to the Annual Energy Outlook 1999 - Introduction  

Gasoline and Diesel Fuel Update (EIA)

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

163

Idaho National Engineering Laboratory installation roadmap assumptions document. Revision 1  

SciTech Connect

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

Not Available

1993-05-01T23:59:59.000Z

164

Colorado's clean energy choices  

DOE Green Energy (OSTI)

The daily choices made as consumers affect the environment and the economy. Based on the state of today's technology and economics, Colorado consumers can include energy efficiency and renewable energy into many aspects of their lives. These choices include where they obtain electricity, how they use energy at home, and how they transport themselves from one place to another. In addition to outlining how they can use clean energy, Colorado's Clean Energy Choices gives consumers contacts and links to Web sites for where to get more information.

Strawn, N.; Jones, J.

2000-04-15T23:59:59.000Z

165

Fuel Economy: What Drives Consumer Choice?  

E-Print Network (OSTI)

Vehicles: What Hybrid Electric Vehicles (HEVs) Mean and WhyEarly Market for Hybrid Electric Vehicles,” Transportationof the Plug-in Hybrid Electric Vehicle Research Center and

Turrentine, Tom; Kurani, Kenneth; Heffner, Rusty

2007-01-01T23:59:59.000Z

166

Fuel Economy: What Drives Consumer Choice?  

E-Print Network (OSTI)

Vehicles: What Hybrid Electric Vehicles (HEVs) Mean and WhyEarly Market for Hybrid Electric Vehicles,” Transportationof the Plug-in Hybrid Electric Vehicle Research Center and

Turrentine, Tom; Kurani, Kenneth S; Heffner, Reid R.

2008-01-01T23:59:59.000Z

167

Commentary---On the Interpretation of Temporal Inflation Parameters in Stochastic Models of Judgment and Choice  

Science Conference Proceedings (OSTI)

The implications of Salisbury and Feinberg's (2010) paper [Salisbury, L. C., F. M. Feinberg. 2010. Alleviating the constant stochastic variance assumption in decision research: Theory, measurement, and experimental test. Marketing Sci.29(1) ... Keywords: behavioral decision theory, behavioral economics, choice modeling, intertemporal choice, measurement and inference, psychological process models, random utility models

J. Wesley Hutchinson; Gal Zauberman; Robert Meyer

2010-01-01T23:59:59.000Z

168

How Happiness Affects Choice  

E-Print Network (OSTI)

Consumers want to be happy, and marketers are increasingly trying to appeal to consumers’ pursuit of happiness. However, the results of six studies reveal that what happiness means varies, and consumers’ choices reflect ...

Mogilner, Cassie

169

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

170

Assumptions to the Annual Energy Outlook 2002 - Transportation...  

Annual Energy Outlook 2012 (EIA)

no on-board fuel reformers), or if the vehicle has ZEV-like equipment on-board such as regenerative braking, advanced batteries, or an advanced electric drivetrain. An emission...

171

Vehicle Technologies Office: Apps for Vehicles Challenge Spurs Innovation  

NLE Websites -- All DOE Office Websites (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

172

COMMUNITY CHOICE AGGREGATION PILOT PROJECT  

E-Print Network (OSTI)

COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX B: Arnold Schwarzenegger Governor Project Reports on California Public Utilities Commission Decisions on Community Choice Aggregation Prepared For Participants FROM: John Dalessi, NCI SUBJECT: CPUC COMMUNITY CHOICE AGGREGATION PHASE 1 DECISION On December 16

173

Arnold Schwarzenegger COMMUNITY CHOICE AGGREGATION  

E-Print Network (OSTI)

Arnold Schwarzenegger Governor COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX G Aggregation Guide is the interim report for the Community Choice Aggregation Pilot Program project (Contract Community Choice Aggregation Guide. California Energy Commission, PIER Renewable Energy Technologies

174

Arnold Schwarzenegger COMMUNITY CHOICE AGGREGATION  

E-Print Network (OSTI)

Arnold Schwarzenegger Governor COMMUNITY CHOICE AGGREGATION PILOT PROJECT PIERFINALPROJECTREPORT Rosenfeld. Please cite this report as follows: Stoner, G. Patrick. 2008. Community Choice Aggregation Pilot Aggregation Pilot Project Final Report is the final report for the Community Choice Aggregation Pilot Project

175

Natural Gas Residential Choice Programs  

Gasoline and Diesel Fuel Update (EIA)

www.ai.orgiurcgasnipsco.html http:www.nipsco.comOur-ServicesNIPSCO-ChoiceChoice-Suppliers.aspx Lists activeparticipating marketers Kentucky 3 3 http:...

176

COMMUNITY CHOICE AGGREGATION PILOT PROJECT  

E-Print Network (OSTI)

COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX H: Arnold Schwarzenegger Governor Berkeley have been investigating and analyzing a program for the implementation of Community Choice Aggregation

177

REGULAR ARTICLE Simulating the adoption of fuel cell vehicles  

E-Print Network (OSTI)

Abstract Supply security and environmental concerns associated with oil call for an introduction of hydrogen as a transport fuel. To date, scenario studies of infrastructure build-up and sales of fuel cell vehicles (FCVs) are driven by cost estimates and technological feasibility assumptions, indicating that there is a “chicken and egg problem”: Car producers do not offer FCVs as long as there are no hydrogen filling stations, and infrastructure will not be set up unless there is a significant number of FCVs on the road. This diffusion barrier is often used as an argument for a major (public) infrastructure program, neglecting the fact that the automobile market is highly competitive and car producers, consumers, and filling station operators form an interdependent dynamic system, where taxes influence technology choice. In this paper, an agent-based model is used that captures the main interdependencies to simulate possible diffusion paths of FCVs. The results suggest that a tax on conventional cars can successfully promote diffusion even without a major infrastructure program. However, consumers and individual producers are affected differently by the tax, indicating that differently strong resistance towards

Malte Schwoon; Er Jager; Marco Janssen; Marco Valente; Financial International; Max Planck; M. Schwoon; M. Schwoon

2006-01-01T23:59:59.000Z

178

Voltage Vehicles | Open Energy Information  

Open Energy Info (EERE)

Sector Vehicles Product Voltage Vehicles is a nascent, full-service alternative fuel vehicle distributor specializing in the full spectrum of electric vehicles (EV) and...

179

Vehicle barrier  

DOE Patents (OSTI)

A vehicle security barrier which can be conveniently placed across a gate opening as well as readily removed from the gate opening to allow for easy passage. The security barrier includes a barrier gate in the form of a cable/gate member in combination with laterally attached pipe sections fixed by way of the cable to the gate member and lateral, security fixed vertical pipe posts. The security barrier of the present invention provides for the use of cable restraints across gate openings to provide necessary security while at the same time allowing for quick opening and closing of the gate areas without compromising security.

Hirsh, Robert A. (Bethel Park, PA)

1991-01-01T23:59:59.000Z

180

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

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

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

182

Community Choice Community Choice Aggregation (CCA) enables California cities  

E-Print Network (OSTI)

Community Choice Community Choice Aggregation (CCA) enables California cities and counties, and are looking at Community Choice Aggregation as a mechanism for doing so. When California deregulated the same utilities that provided it before deregulation. Community Choice Aggregation offers an opportunity

183

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

184

Energy 101: Lighting Choices | Department of Energy  

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

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."...

185

Proceedings of the Neighborhood Electric Vehicle Workshop  

E-Print Network (OSTI)

Electric Vehicle Workshop Proceedings Vehicle Safety DesignElectric Vehicle Workshop Proceedings Federal Motor Vehicle SafetyElectric Vehicle Workshop Proceedings FEDERAL MOTOR VEHICLE SAFETY

Lipman, Timothy

1994-01-01T23:59:59.000Z

186

Hydrogen Fuel Cell Vehicles  

E-Print Network (OSTI)

Traction Battery for the ETX-II Vehicle, EGG-EP-9688, IdahoElectric Vehicle Powertrain (ETX-II) Performance: VehicleDevelopment Program - ETX-II, Phase II Technical Report, DOE

Delucchi, Mark

1992-01-01T23:59:59.000Z

187

Hydrogen Fuel Cell Vehicles  

E-Print Network (OSTI)

1-5): Electric/Hybrid Vehicles: An Emerging Global Industry,1-5): Electric/Hybrid Vehicles: An Emerging Global Industry,1-5): Electric/Hybrid Vehicles: An Emerging Global Industry,

Delucchi, Mark

1992-01-01T23:59:59.000Z

188

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.

189

COMMUNITY CHOICE AGGREGATION PILOT PROJECT  

E-Print Network (OSTI)

COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX A: Arnold Schwarzenegger Governor Community in this report. #12;1 COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX A Community Choice Aggregation in the Community Choice Aggregation Demonstration project and assesses the costs and availability of renewable

190

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

191

A Comparison of the Free Ride and CISK Assumptions  

Science Conference Proceedings (OSTI)

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

Torben Strunge Pedersen

1991-08-01T23:59:59.000Z

192

Hybrid Electric Vehicle Testing  

NLE Websites -- All DOE Office Websites (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

193

Vehicles | Department of Energy  

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

NREL. National Clean Fleets partners are investing in hybrid vehicles to reduce their oil use, vehicle emissions and fuel costs. What's Your PEV Readiness Score? PEV readiness...

194

Vehicles and Fuels  

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

Learn more about exciting technologies and ongoing research in alternative and advanced vehicles—or vehicles that run on fuels other than traditional petroleum.

195

Vehicle Technologies Office: Features  

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

Event June 2013 The eGallon Tool Advances Deployment of Electric Vehicles May 2013 Vehicle Technologies Office Recognizes Outstanding Researchers December 2012 Apps for...

196

Advanced Vehicle Testing Activity  

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

Volt Vehicle Summary Report: April - June 2013 (PDF 1.3MB) EV Project Electric Vehicle Charging Infrastructure Summary Report: April - June 2013 (PDF 11MB) Residential...

197

Vehicles | Department of Energy  

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

The U.S. Department of Energy (DOE) supports the development and deployment of advanced vehicle technologies, including advances in electric vehicles, engine efficiency, and...

198

Vehicle Technologies Office: Vehicle Technologies Office Organization...  

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

Organization and Contacts Organization Chart for the Vehicle Technologies Program Fuel Technologies and Deployment, Technology Managers Advanced Combustion Engines, Technology...

199

Vehicle Technologies Office: Maximizing Alternative Fuel Vehicle Efficiency  

NLE Websites -- All DOE Office Websites (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

200

Advanced Vehicle Testing Activity: Light-Duty Vehicles  

NLE Websites -- All DOE Office Websites (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

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 #257: March 3, 2003 Vehicle...  

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

7: March 3, 2003 Vehicle Occupancy by Type of Vehicle to someone by E-mail Share Vehicle Technologies Office: Fact 257: March 3, 2003 Vehicle Occupancy by Type of Vehicle on...

202

Vehicle Technologies Office: Fact #253: February 3, 2003 Vehicle...  

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

3: February 3, 2003 Vehicle Age by Type of Vehicle to someone by E-mail Share Vehicle Technologies Office: Fact 253: February 3, 2003 Vehicle Age by Type of Vehicle on Facebook...

203

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

E-Print Network (OSTI)

Own-Elasticities for Space Conditioning Equipment Equipmenta homeowner to all space conditioning costs. By this notion,Versus Alternative Space Conditioning Systems: A Model to

Wood, D.J.

2010-01-01T23:59:59.000Z

204

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

E-Print Network (OSTI)

whether to have central air conditioning or not, and, givencaptures a sense of air conditioning desirability) in theSpace heating and air conditioning decisions are modeled

Wood, D.J.

2010-01-01T23:59:59.000Z

205

Vehicle Technologies Office: About the Vehicle Technologies Office: Moving  

NLE Websites -- All DOE Office Websites (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

206

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

NLE Websites -- All DOE Office Websites (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

207

Clean Cities 2012 Vehicle Buyer's Guide (Brochure)  

Science Conference Proceedings (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

208

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

209

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":""}]}

210

PROJECT MANGEMENT PLAN EXAMPLES Policy & Operational Decisions, Assumptions  

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

Policy & Operational Decisions, Assumptions Policy & Operational Decisions, Assumptions and Strategies Examples 1 & 2 Example 1 1.0 Summary The 322-M Metallurgical Laboratory is currently categorized as a Radiological Facility. It is inactive with no future DOE mission. In May of 1998 it was ranked Number 45 in the Inactive Facilities Risk Ranking database which the Facilities Decommissioning Division maintains. A short-term surveillance and maintenance program is in-place while the facility awaits final deactivation. Completion of the end points described in this deactivation project plan will place the 322-M facility into an End State that can be described as "cold and dark". The facility will be made passively safe requiring minimal surveillance and no scheduled maintenance.

211

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

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

Cost and Performance Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia Subcontract Report NREL/SR-6A20-48595 November 2010 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Cost and Performance Assumptions for Modeling Electricity Generation Technologies Rick Tidball, Joel Bluestein, Nick Rodriguez, and Stu Knoke ICF International Fairfax, Virginia NREL Technical Monitor: Jordan Macknick

212

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

213

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

214

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

215

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.

216

Effects of internal gain assumptions in building energy calculations  

DOE Green Energy (OSTI)

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

Christensen, C.; Perkins, R.

1981-01-01T23:59:59.000Z

217

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

NLE Websites -- All DOE Office Websites (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

218

Accelerating Electric Vehicle Deployment | Department of Energy  

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

Accelerating Electric Vehicle Deployment Accelerating Electric Vehicle Deployment Accelerating Electric Vehicle Deployment Accelerating Electric Vehicle Deployment More Documents &...

219

Alternative Fuel Vehicle Data  

Reports and Publications (EIA)

This report contains data on the number of onroad alternative fuel vehicles and hybrid vehicles made available by both the original equipment manufacturers and aftermarket vehicle conversion facilities and data on the use of alternative fueled vehicles and the amount of fuel they consume.

Information Center

2013-04-08T23:59:59.000Z

220

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.

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

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.

222

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.

223

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.

224

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.

225

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.

226

Energy Department Announces Apps for Vehicles Challenge Winners |  

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

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,

227

Energy Department Announces Apps for Vehicles Challenge Winners |  

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

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,

228

Vehicle Technologies Office: Ambassadors  

NLE Websites -- All DOE Office Websites (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

229

Burger King: Better Choices  

E-Print Network (OSTI)

Burger King: Better Choices: BK Veggie Burger w/o mayo 310 Calories, 7g fat, 1g sat* fat BK Chicken Whopper w/o mayo 420 Calories, 9g fat, 3 g sat fat Chicken Caesar w/o dressing & croutons 160 Calories, 6g: Extra Crispy, 1 Breast 470 Calories, 28g fat, 8g sat fat Popcorn Chicken, 1 Large Order 620 Calories, 40

de la Torre, José R.

230

Fuel Economy: What Drives Consumer Choice?  

E-Print Network (OSTI)

and even buyers of hybrid vehicles. The interviews unfoldedarticles contended that hybrid vehicles cost $2,000 to $Our small group of hybrid vehicle buyers confessed they had

Turrentine, Tom; Kurani, Kenneth; Heffner, Rusty

2007-01-01T23:59:59.000Z

231

Fuel Economy: What Drives Consumer Choice?  

E-Print Network (OSTI)

and even buyers of hybrid vehicles. The interviews unfoldedarticles contended that hybrid vehicles cost $2,000 to $Our small group of hybrid vehicle buyers confessed they had

Turrentine, Tom; Kurani, Kenneth S; Heffner, Reid R.

2008-01-01T23:59:59.000Z

232

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

NLE Websites -- All DOE Office Websites (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:

233

Search for Model Year 2000 Vehicles by Fuel or Vehicle Type  

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

Vehicles Compressed Natural Gas Vehicles Diesel Vehicles Electric Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Search by Make Search by Model Search by EPA Size Class...

234

Search for Model Year 2014 Vehicles by Fuel or Vehicle Type  

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

Vehicle Type Model Year: 2014 Select Class... Diesel Vehicles Electric Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Plug-in Hybrid Vehicles...

235

Advanced Vehicle Testing Activity: Urban Electric Vehicle Specificatio...  

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

Test Procedures to someone by E-mail Share Advanced Vehicle Testing Activity: Urban Electric Vehicle Specifications and Test Procedures on Facebook Tweet about Advanced Vehicle...

236

Advanced Vehicle Testing Activity: Full-Size Electric Vehicle...  

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

Projects to someone by E-mail Share Advanced Vehicle Testing Activity: Full-Size Electric Vehicle Special Projects on Facebook Tweet about Advanced Vehicle Testing Activity:...

237

Advanced Vehicle Testing Activity: Hybrid Electric Vehicle Testing...  

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

Testing Reports to someone by E-mail Share Advanced Vehicle Testing Activity: Hybrid Electric Vehicle Testing Reports on Facebook Tweet about Advanced Vehicle Testing Activity:...

238

Advanced Vehicle Testing Activity: Hybrid Electric Vehicle Specificati...  

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

Test Procedures to someone by E-mail Share Advanced Vehicle Testing Activity: Hybrid Electric Vehicle Specifications and Test Procedures on Facebook Tweet about Advanced Vehicle...

239

Advanced Vehicle Testing Activity: Full-Size Electric Vehicle...  

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

Procedures to someone by E-mail Share Advanced Vehicle Testing Activity: Full-Size Electric Vehicle Specifications and Test Procedures on Facebook Tweet about Advanced Vehicle...

240

Advanced Vehicle Testing Activity: Electric Vehicle Supply Equipment...  

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

Electric Vehicle Supply Equipment (EVSE) Testing to someone by E-mail Share Advanced Vehicle Testing Activity: Electric Vehicle Supply Equipment (EVSE) Testing on Facebook Tweet...

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

Advanced Vehicle Testing Activity: Urban Electric Vehicle Special...  

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

Special Projects to someone by E-mail Share Advanced Vehicle Testing Activity: Urban Electric Vehicle Special Projects on Facebook Tweet about Advanced Vehicle Testing Activity:...

242

Advanced Vehicle Testing Activity: Full-Size Electric Vehicle...  

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

Testing Reports to someone by E-mail Share Advanced Vehicle Testing Activity: Full-Size Electric Vehicle Testing Reports on Facebook Tweet about Advanced Vehicle Testing Activity:...

243

Advanced Vehicle Testing Activity: Electric Vehicle Supply Equipment...  

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

Electric Vehicle Supply Equipment (EVSE) Testing The Advanced Vehicle Testing Activity is tasked by the U.S. Department of Energy's (DOE) Vehicle Technologies Office (VTO) to...

244

Advanced Vehicle Testing Activity: Urban Electric Vehicle Testing...  

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

Testing Reports to someone by E-mail Share Advanced Vehicle Testing Activity: Urban Electric Vehicle Testing Reports on Facebook Tweet about Advanced Vehicle Testing Activity:...

245

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

E-Print Network (OSTI)

VEHICLE USAGE LOG Department ________________________________________ Vehicle Homebase of the owning Unit. Vehicle Homebase: Enter the City, Zip Code, Building, or other location designation. Week

Johnston, Daniel

246

Effects of Vehicle Image in Gasoline-Hybrid Electric Vehicles  

E-Print Network (OSTI)

The Images of Hybrid Vehicles Each of the householdsbetween hybrid and non-hybrid vehicles was observed in smallowned Honda Civic Hybrids, vehicles that are virtually

Heffner, Reid R.; Kurani, Ken; Turrentine, Tom

2005-01-01T23:59:59.000Z

247

COMMUNITY CHOICE AGGREGATION PILOT PROJECT  

E-Print Network (OSTI)

COMMUNITY CHOICE AGGREGATION PILOT PROJECT APPENDIX E: Arnold Schwarzenegger Governor Community in this report. #12;«CCA_Name» - DRAFT - COMMUNITY CHOICE AGGREGATION IMPLEMENTATION PLAN «Date Choice Aggregation Implementation Plan Template Prepared For: California Energy Commission Prepared By

248

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

NLE Websites -- All DOE Office Websites (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

249

Vehicle Technologies Office: Lubricants  

NLE Websites -- All DOE Office Websites (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

250

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.

251

Impact of Heavy Duty Vehicle Emissions Reductions on Global Climate  

Science Conference Proceedings (OSTI)

The impact of a specified set of emissions reductions from heavy duty vehicles on climate change is calculated using the MAGICC 5.3 climate model. The integrated impact of the following emissions changes are considered: CO2, CH4, N2O, VOC, NOx, and SO2. This brief summarizes the assumptions and methods used for this calculation.

Calvin, Katherine V.; Thomson, Allison M.

2010-08-01T23:59:59.000Z

252

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

253

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

254

Advanced Technology Vehicle Testing  

DOE Green Energy (OSTI)

The light-duty vehicle transportation sector in the United States depends heavily on imported petroleum as a transportation fuel. The Department of Energy’s Advanced Vehicle Testing Activity (AVTA) is testing advanced technology vehicles to help reduce this dependency, which would contribute to the economic stability and homeland security of the United States. These advanced technology test vehicles include internal combustion engine vehicles operating on 100% hydrogen (H2) and H2CNG (compressed natural gas) blended fuels, hybrid electric vehicles, neighborhood electric vehicles, urban electric vehicles, and electric ground support vehicles. The AVTA tests and evaluates these vehicles with closed track and dynamometer testing methods (baseline performance testing) and accelerated reliability testing methods (accumulating lifecycle vehicle miles and operational knowledge within 1 to 1.5 years), and in normal fleet environments. The Arizona Public Service Alternative Fuel Pilot Plant and H2-fueled vehicles are demonstrating the feasibility of using H2 as a transportation fuel. Hybrid, neighborhood, and urban electric test vehicles are demonstrating successful applications of electric drive vehicles in various fleet missions. The AVTA is also developing electric ground support equipment (GSE) test procedures, and GSE testing will start during the fall of 2003. All of these activities are intended to support U.S. energy independence. The Idaho National Engineering and Environmental Laboratory manages these activities for the AVTA.

James Francfort

2003-11-01T23:59:59.000Z

255

Advanced Vehicle Testing Activity: Alternative Fuel Vehicles  

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

are vehicles designed to operate on alternative fuels such as compressed and liquefied natural gas, liquefied petroleum gas (propane), ethanol, biodiesel, electricity, and...

256

Advanced Vehicle Testing Activity - Hybrid Electric Vehicles  

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

Hyundai Sonata (4932) Battery Report 2010 Ultra-Battery Honda Civic Battery Report Some hybrid electric vehicles (HEVs) combine a conventional internal combustion engine (using...

257

VEHICLE TECHNOLOGIES PROGRAM Advanced Vehicle Testing Activity  

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

Testing Activity North American PHEV Demonstration Monthly Summary Report - Hymotion Prius (V2Green data logger) Total Number Vehicles - 169 (May 2010) Total Cumulative Test...

258

Advanced Vehicle Testing Activity: Hybrid Electric Vehicles  

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

motor of an electric vehicle. Other hybrids combine a fuel cell with batteries to power electric propulsion motors. Fuel Cell Concept: Fuel passes through an anode, electrolyte,...

259

Electric and Hybrid Vehicle System Research and Development Project: Hybrid Vehicle Potential Assessment. Volume VIII. Scenario generation  

SciTech Connect

Scenarios are described which have been generated in support of the Hybrid Vehicle Potential Assessment Task under the JPL Electric and Hybrid Vehicle Systems Research and Development Project. The primary function of the scenario generation is to develop a set of consistent and credible forecasts required to estimate the potential impact of hybrid vehicles on future petroleum consumption in the USA, given a set of specific electric, hybrid and conventional vehicle designs. The forecasts are limited to the next 32 years (1978 to 2010. The four major areas of concern are: population and vehicle fleet size; travel patterns and vehicle fleet mix; conventional vehicle technology (Otto baseline); battery technology; and prices. The forecasts have been generated to reflect two baseline scenarios, a Petroleum Conservation Scenario (Scenario A) and an Energy Conservation Scenario (Scenario B). The primary assumption in Scenario A is higher gasoline prices than in Scenario B. This should result in less travel per car and an increased demand for smaller and more fuel efficient cars (compared to Scenario B). In Scenario B the primary assumption is higher prices on cars (new as well as used) than in Scenario A. This should lead to less cars (compared to Scenario A) and a shift to other modes of transportation.

Leschly, K.O.

1979-09-30T23:59:59.000Z

260

A Plug-in Hybrid Consumer Choice Model with Detailed Market Segmentation  

DOE Green Energy (OSTI)

This paper describes a consumer choice model for projecting U.S. demand for plug-in hybrid electric vehicles (PHEV) in competition among 13 light-duty vehicle technologies over the period 2005-2050. New car buyers are disaggregated by region, residential area, attitude toward technology risk, vehicle usage intensity, home parking and work recharging. The nested multinomial logit (NMNL) model of vehicle choice incorporates daily vehicle usage distributions, refueling and recharging availability, technology learning by doing, and diversity of choice among makes and models. Illustrative results are presented for a Base Case, calibrated to the Annual Energy Outlook (AEO) 2009 Reference Updated Case, and an optimistic technology scenario reflecting achievement of U.S. Department of Energy s (DOE s) FreedomCAR goals. PHEV market success is highly dependent on the degree of technological progress assumed. PHEV sales reach one million in 2037 in the Base Case but in 2020 in the FreedomCARGoals Case. In the FreedomCARGoals Case, PHEV cumulative sales reach 1.5 million by 2015. Together with efficiency improvements in other technologies, petroleum use in 2050 is reduced by about 45% from the 2005 level. After technological progress, PHEV s market success appears to be most sensitive to recharging availability, consumers attitudes toward novel echnologies, and vehicle usage intensity. Successful market penetration of PHEVs helps bring down battery costs for electric vehicles (EVs), resulting in a significant EV market share after 2040.

Lin, Zhenhong [ORNL; Greene, David L [ORNL

2010-01-01T23:59:59.000Z

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.


261

Alternative Fuels Data Center: Flexible Fuel Vehicles  

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

| Diesel Vehicles Electricity | Hybrid & Plug-In Electric Vehicles Ethanol | Flex Fuel Vehicles Hydrogen | Fuel Cell Vehicles Natural Gas | Natural Gas Vehicles Propane |...

262

Alternative Fuels Data Center: Vehicle Conversions  

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

| Diesel Vehicles Electricity | Hybrid & Plug-In Electric Vehicles Ethanol | Flex Fuel Vehicles Hydrogen | Fuel Cell Vehicles Natural Gas | Natural Gas Vehicles Propane |...

263

Vehicle Detection by Sensor Network Nodes  

E-Print Network (OSTI)

frequency. Table 4.2: ? and ? Ground truth (# of vehicles)truth (# of vehicles) Detection result (# of vehicles) Tabletruth ( of vehicles) Detection result ( of vehicles) Table

Ding, Jiagen; Cheung, Sing-Yiu; Tan, Chin-woo; Varaiya, Pravin

2004-01-01T23:59:59.000Z

264

Emission Impacts of Electric Vehicles  

E-Print Network (OSTI)

greenhouse effect, and electric vehicles," Proceedingso/9thInternational Electric Vehicles Symposium, 1988. 14. R. M.of 9th International Electric Vehicles Sympo- sium, 1988.

Wang, Quanlu; DeLuchi, Mark A.; Sperling, Daniel

1990-01-01T23:59:59.000Z

265

The Case for Electric Vehicles  

E-Print Network (OSTI)

land Press, 1995 TESTING ELECTRIC VEHICLE DEMAND IN " HYBRIDThe Case for Electric Vehicles DanieI Sperlmg Reprint UCTCor The Case for Electric Vehicles Darnel Sperling Institute

Sperling, Daniel

2001-01-01T23:59:59.000Z

266

Vehicle Technologies Office: Natural Gas Research  

NLE Websites -- All DOE Office Websites (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.

267

Vehicle Research Laboratory - FEERC  

NLE Websites -- All DOE Office Websites (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,

268

THE ALLOCATION OF THE SOCIAL COSTS OF MOTOR-VEHICLE USE TO SIX CLASSES OF MOTOR VEHICLES  

E-Print Network (OSTI)

-3), on the assumption that consumption of oil and lubricating greases is proportional to fuel consumption. SIC 3011 diameter PMT = person-miles of travel RECS = Residential Energy Consumption Survey SIC = standard Lubricating oils and grease Tires and inner tubes Primary metals Automotive stampings ** Motor vehicles

Delucchi, Mark

269

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.

270

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.

271

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.

272

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.

273

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).

274

Solar Choice Solutions Inc | Open Energy Information  

Open Energy Info (EERE)

Choice 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...

275

Renewable Choice Energy | Open Energy Information  

Open Energy Info (EERE)

Choice Energy Jump to: navigation, search Name Renewable Choice Energy Place Boulder, Colorado Zip 80301 Sector Carbon, Renewable Energy Product Renewable Choice Energy is a...

276

Advanced Vehicle Testing Activity: Plug-in Hybrid Electric Vehicles  

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

Plug-in Hybrid Electric Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Plug-in Hybrid Electric Vehicles on Facebook Tweet about Advanced Vehicle Testing...

277

Advanced Vehicle Testing Activity: Full-Size Electric Vehicle...  

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

Full-Size Electric Vehicle Basics to someone by E-mail Share Advanced Vehicle Testing Activity: Full-Size Electric Vehicle Basics on Facebook Tweet about Advanced Vehicle Testing...

278

Advanced Vehicle Testing Activity: Full-Size Electric Vehicles  

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

Full-Size Electric Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Full-Size Electric Vehicles on Facebook Tweet about Advanced Vehicle Testing Activity:...

279

Vehicle Technologies Office: Fact #586: August 31, 2009 New Vehicle...  

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

6: August 31, 2009 New Vehicle Fuel Economies by Vehicle Type to someone by E-mail Share Vehicle Technologies Office: Fact 586: August 31, 2009 New Vehicle Fuel Economies by...

280

Vehicle Technologies Office: Plug-in Electric Vehicle Basics  

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

Plug-in Electric Vehicle Basics to someone by E-mail Share Vehicle Technologies Office: Plug-in Electric Vehicle Basics on Facebook Tweet about Vehicle Technologies Office: Plug-in...

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

Advanced Vehicle Testing Activity - Stop-Start Vehicles  

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

Stop-Start Vehicles Stop-start Vehicles allow the internal combustion engine to shut-down when the vehicle stops in traffic, and re-start quickly to launch the vehicle. Fuel is...

282

Energy Star Concepts for Highway Vehicles  

Science Conference Proceedings (OSTI)

The authors of this report, under the sponsorship of the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE) Weatherization and Intergovernmental Program, have investigated the possible application of Energy Star ratings to passenger cars and light trucks. This study establishes a framework for formulating and evaluating Energy Star rating methods that is comprised of energy- and environmental-based metrics, potential vehicle classification systems, vehicle technology factors, and vehicle selection criteria. The study tests several concepts and Energy Star rating methods using model-year 2000 vehicle data--a spreadsheet model has been developed to facilitate these analyses. This study tests two primary types of rating systems: (1) an outcome-based system that rates vehicles based on fuel economy, GHG emissions, and oil use and (2) a technology-based system that rates vehicles based on the energy-saving technologies they use. Rating methods were evaluated based on their ability to select vehicles with high fuel economy, low GHG emissions, and low oil use while preserving a full range of service (size and acceleration) and body style choice. This study concludes that an Energy Star rating for passenger cars and light trucks is feasible and that several methods could be used to achieve reasonable tradeoffs between low energy use and emissions and diversity in size, performance, and body type. It also shows that methods that consider only fuel economy, GHG emissions, or oil use will not select a diverse mix of vehicles. Finally, analyses suggest that methods that encourage the use of technology only, may result in increases in acceleration power and weight rather than reductions in oil use and GHG emissions and improvements in fuel economy.

Greene, D.L.

2003-06-24T23:59:59.000Z

283

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

NLE Websites -- All DOE Office Websites (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

284

Vehicle Technologies Office: News  

NLE Websites -- All DOE Office Websites (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

285

Vehicle Technologies Office: Favorites  

NLE Websites -- All DOE Office Websites (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

286

Vehicle Technologies Office: Partners  

NLE Websites -- All DOE Office Websites (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

287

Vehicle Technologies Office: Batteries  

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

vehicles. In fact, every hybrid vehicle on the market currently uses Nickel-Metal-Hydride high-voltage batteries in its battery system. Lithium ion batteries appear to be the...

288

Chevrolet Volt Vehicle Demonstration  

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

2012 Number of vehicles: 143 Number of vehicle days driven: 6,598 All operation Overall gasoline fuel economy (mpg) 73.7 Overall AC electrical energy consumption (AC Whmi) 170...

289

Chevrolet Volt Vehicle Demonstration  

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

2012 Number of vehicles: 145 Number of vehicle days driven: 6,817 All operation Overall gasoline fuel economy (mpg) 66.6 Overall AC electrical energy consumption (AC Whmi) 171...

290

Chevrolet Volt Vehicle Demonstration  

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

2011 Number of vehicles: 135 Number of vehicle days driven: 4,746 All operation Overall gasoline fuel economy (mpg) 68.6 Overall AC electrical energy consumption (AC Whmi) 175...

291

Chevrolet Volt Vehicle Demonstration  

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

June 2011 Number of vehicles: 66 Number of vehicle days driven: 845 All operation Overall gasoline fuel economy (mpg) 85.0 Overall AC electrical energy consumption (AC Whmi) 181...

292

Chevrolet Volt Vehicle Demonstration  

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

2012 Number of vehicles: 143 Number of vehicle days driven: 5,795 All operation Overall gasoline fuel economy (mpg) 67.8 Overall AC electrical energy consumption (AC Whmi) 180...

293

Chevrolet Volt Vehicle Demonstration  

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

2011 Number of vehicles: 110 Number of vehicle days driven: 3,227 All operation Overall gasoline fuel economy (mpg) 74.8 Overall AC electrical energy consumption (AC Whmi) 185...

294

Chevrolet Volt Vehicle Demonstration  

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

2012 Number of vehicles: 144 Number of vehicle days driven: 7,129 All operation Overall gasoline fuel economy (mpg) 72.5 Overall AC electrical energy consumption (AC Whmi) 166...

295

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

296

Hybrid Electric Vehicle Testing  

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

- 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) -...

297

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)

298

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

299

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

300

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.

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

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].

302

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

303

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

304

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),

305

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

306

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

307

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

308

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

309

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

310

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.

311

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

312

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).

313

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).

314

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

315

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).

316

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.

317

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

318

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).

319

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

320

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

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

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

322

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

323

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

324

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.

325

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

326

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,

327

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

328

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).

329

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).

330

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).

331

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

332

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

333

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

334

Cost and Performance Assumptions for Modeling Electricity Generation Technologies  

Science Conference Proceedings (OSTI)

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

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

2010-11-01T23:59:59.000Z

335

Flexible Fuel Vehicles  

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

Flexible fuel vehicles (FFVs) are capable of operating on gasoline, E85 (85% ethanol, 15% gasoline), or a mixture of both. There are almost 8 million flexible fuel vehicles on U.S. roads today, but many FFV owners don't know their vehicle is one.

336

Realising low carbon vehicles  

E-Print Network (OSTI)

MorganMotorCompany #12;Hybrid and electric vehicle design and novel power trains Cranfield has an impressive track record in the design and integration of near-to-market solutions for hybrid, electric and fuel cell vehicles coupe body the vehicle is powered by advanced lithium-ion batteries, and also features a novel all-electric

337

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

NLE Websites -- All DOE Office Websites (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

338

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

NLE Websites -- All DOE Office Websites (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

339

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

340

Cost-effectiveness of controlling emissions for various alternative-fuel vehicle types, with vehicle and fuel price subsidies estimated on the basis of monetary values of emission reductions  

DOE Green Energy (OSTI)

Emission-control cost-effectiveness is estimated for ten alternative-fuel vehicle (AFV) types (i.e., vehicles fueled with reformulated gasoline, M85 flexible-fuel vehicles [FFVs], M100 FFVs, dedicated M85 vehicles, dedicated M100 vehicles, E85 FFVS, dual-fuel liquefied petroleum gas vehicles, dual-fuel compressed natural gas vehicles [CNGVs], dedicated CNGVs, and electric vehicles [EVs]). Given the assumptions made, CNGVs are found to be most cost-effective in controlling emissions and E85 FFVs to be least cost-effective, with the other vehicle types falling between these two. AFV cost-effectiveness is further calculated for various cases representing changes in costs of vehicles and fuels, AFV emission reductions, and baseline gasoline vehicle emissions, among other factors. Changes in these parameters can change cost-effectiveness dramatically. However, the rank of the ten AFV types according to their cost-effectiveness remains essentially unchanged. Based on assumed dollars-per-ton emission values and estimated AFV emission reductions, the per-vehicle monetary value of emission reductions is calculated for each AFV type. Calculated emission reduction values ranged from as little as $500 to as much as $40,000 per vehicle, depending on AFV type, dollar-per-ton emission values, and baseline gasoline vehicle emissions. Among the ten vehicle types, vehicles fueled with reformulated gasoline have the lowest per-vehicle value, while EVs have the highest per-vehicle value, reflecting the magnitude of emission reductions by these vehicle types. To translate the calculated per-vehicle emission reduction values to individual AFV users, AFV fuel or vehicle price subsidies are designed to be equal to AFV emission reduction values. The subsidies designed in this way are substantial. In fact, providing the subsidies to AFVs would change most AFV types from net cost increases to net cost decreases, relative to conventional gasoline vehicles.

Wang, M.Q.

1993-12-31T23:59:59.000Z

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.


341

VISION Model : description of model used to estimate the impact of highway vehicle technologies and fuels on energy use and carbon emissions to 2050.  

DOE Green Energy (OSTI)

The VISION model has been developed by the U.S. Department of Energy (DOE) to provide estimates of the potential energy use, oil use, and carbon emission impacts to 2050 of advanced light- and heavy-duty highway vehicle technologies and alternative fuels. DOE supports research of advanced transportation technologies (including fuels) and is frequently asked to provide estimates of the potential impacts of successful market penetration of these technologies, sometimes on a relatively quick-turnaround basis. VISION is a spreadsheet model in Microsoft Excel that can be used to respond rapidly to quick-turnaround requests, as well as for longer-term analyses. It uses vehicle survival and age-dependent usage characteristics to project total light and heavy vehicle stock, total vehicle miles of travel (VMT), and total energy use by technology and fuel type by year, given market penetration and vehicle energy efficiency assumptions developed exogenously. Total carbon emissions for on-highway vehicles by year are also estimated because life-cycle carbon coefficients for various fuels are included in VISION. VISION is not a substitute for the transportation component of the Energy Information Administration's (EIA's) National Energy Modeling System (NEMS). NEMS incorporates a consumer choice model to project market penetration of advanced vehicles and alternative fuels. The projections are made within the context of the entire U.S. economy. However, the NEMS model is difficult to use on a quick-turnaround basis and only makes projections to 2025. VISION complements NEMS with its relative ''user-friendliness'' and by extending the time frame of potential analysis. VISION has been used for a wide variety of purposes. For illustration, we have listed some of its most recent and current uses in Table 1.1. Figures 1.1-1.3 illustrate the results of some of those runs. These graphs are not actual model output, but they are based on model results. The main body of this report describes VISION's methodology and data sources. The methodology and data sources used in the light- and heavy-vehicle portions of the model are discussed separately. Some suggestions for future improvements to the model are made. Appendix A provides instructions on how to run the VISION model. Appendix B describes the procedure for updating the model with the latest EIA Annual Energy Outlook (AEO).

Singh, M.; Vyas, A.; Steiner, E.

2004-02-19T23:59:59.000Z

342

VEHICLE FOR SLAVE ROBOT  

DOE Patents (OSTI)

A reeling device is designed for an electrical cable supplying power to the slave slde of a remote control manipulator mounted on a movable vehicle. As the vehicle carries the slave side about in a closed room, the device reels the cable in and out to maintain a variable length of the cable between the vehicle and a cable inlet in the wall of the room. The device also handles a fixed length of cable between the slave side and the vehicle, in spite of angular movement of the slave side with respect to the vehicle. (AEC)

Goertz, R.C.; Lindberg, J.F.

1962-01-30T23:59:59.000Z

343

Natural Gas Residential Choice Programs  

U.S. Energy Information Administration (EIA)

Status of Natural Gas Residential Choice Programs by State as of December 2008 (Click on a State or its abbreviation for more information about that ...

344

Vehicle Technologies Office: Deployment  

NLE Websites -- All DOE Office Websites (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

345

Vehicle Technologies Office: Batteries  

NLE Websites -- All DOE Office Websites (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

346

Vehicles | Department of Energy  

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

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

347

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

NLE Websites -- All DOE Office Websites (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

348

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

NLE Websites -- All DOE Office Websites (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

349

Vehicle Technologies Office: FY 2008 DOE Vehicle Technologies Office Annual  

NLE Websites -- All DOE Office Websites (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

350

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

NLE Websites -- All DOE Office Websites (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

351

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

NLE Websites -- All DOE Office Websites (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

352

Vehicle Technologies Office: Key Activities in Vehicles  

NLE Websites -- All DOE Office Websites (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.

353

Vehicle Technologies Office: Advanced Vehicle Testing Activity  

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

October 1-2, 2013 2013 Natural Gas Vehicle Conference & Expo November 18-21, 2013 World LNG Fuels Conference & Expo January 21-23, 2014 More Events Contacts | Web Site Policies |...

354

Advanced Vehicle Testing Activity - Hybrid Electric Vehicles  

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

Hybrid Electric Vehicles What's New 2012 Hyundai Sonata (4932) Battery Report (PDF 574KB) 2010 Ultra-Battery Honda Civic Battery Report (PDF 614KB) 2013 Chevrolet Malibu Baseline...

355

VEHICLE TECHNOLOGIES PROGRAM Electric Vehicle Preparedness  

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

state or reflect those of the U.S. Government or any agency thereof. INLEXT-13-29359 Electric Vehicle Preparedness Task 1: Assessment of Data and Survey Results for Joint Base...

356

VEHICLE TECHNOLOGIES PROGRAM Electric Vehicle Preparedness  

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

state or reflect those of the U.S. Government or any agency thereof. INLEXT-13-29360 Electric Vehicle Preparedness Task 1: Assessment of Data and Survey Results for NAS...

357

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.

358

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.

359

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.

360

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).

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

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.

362

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.

363

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

364

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).

365

Search for Model Year 2001 Vehicles by Fuel or Vehicle Type  

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

(Propane) Compressed Natural Gas Vehicles Diesel Vehicles Electric Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Search by Make Search by Model Search by EPA Size Class...

366

Search for Model Year 2004 Vehicles by Fuel or Vehicle Type  

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

Vehicles Bifuel (Propane) Compressed Natural Gas Vehicles Diesel Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Search by Make Search by Model Search by EPA Size Class...

367

Search for Model Year 2008 Vehicles by Fuel or Vehicle Type  

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

Class... Compressed Natural Gas Vehicles Diesel Vehicles Electric Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Search by Make Search by Model Search by EPA Size Class...

368

Search for Model Year 2003 Vehicles by Fuel or Vehicle Type  

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

(Propane) Compressed Natural Gas Vehicles Diesel Vehicles Electric Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Search by Make Search by Model Search by EPA Size Class...

369

Search for Model Year 2002 Vehicles by Fuel or Vehicle Type  

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

(Propane) Compressed Natural Gas Vehicles Diesel Vehicles Electric Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Search by Make Search by Model Search by EPA Size Class...

370

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

NLE Websites -- All DOE Office Websites (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

371

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

NLE Websites -- All DOE Office Websites (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

372

Vehicle Technologies Office: FY 2003 Progress Report for Heavy Vehicle  

NLE Websites -- All DOE Office Websites (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

373

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

NLE Websites -- All DOE Office Websites (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...

374

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

NLE Websites -- All DOE Office Websites (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

375

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

NLE Websites -- All DOE Office Websites (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

376

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

NLE Websites -- All DOE Office Websites (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...

377

Vehicle Technologies Office: FY 2004 Progress Report for Heavy Vehicle  

NLE Websites -- All DOE Office Websites (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

378

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

Science Conference Proceedings (OSTI)

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

Kuan-Man Xu

1994-12-01T23:59:59.000Z

379

Mobile Autonomous Vehicle Obstacle Detection and ...  

Science Conference Proceedings (OSTI)

... vehicles from different manufacturers and to ... for Automated Guided Vehicle Safety Standards ... Control of Manufacturing Vehicles Research Towards ...

2013-01-11T23:59:59.000Z

380

Advanced Technology Vehicles Manufacturing Incentive Program...  

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

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


381

Vehicle Technologies Office: Lubricants  

NLE Websites -- All DOE Office Websites (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.

382

Vehicle Technologies Office: Favorites  

NLE Websites -- All DOE Office Websites (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

383

CMVRTC: Overweight Vehicle  

NLE Websites -- All DOE Office Websites (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

384

Advanced Technology Vehicle Testing  

DOE Green Energy (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

385

Prospects for electric vehicles  

Science Conference Proceedings (OSTI)

This paper discusses the current state-of- the-art of electric vehicles (EVs) with examples of recently developed prototype vehicles - Electric G-Van, Chrysler TEVan, Eaton DSEP and Ford/GE ETX-II. The acceleration, top speed and range of these electric vehicles are delineated to demonstrate their performance capabilities, which are comparable with conventional internal combustion engine (ICE) vehicles. The prospects for the commercialization of the Electric G-van and the TEVan and the improvements expected from the AC drive systems of the DSEP and ETX-II vehicles are discussed. The impacts of progress being made in the development of a fuel cell/battery hybrid bus and advanced EVs on the competitiveness of EVs with ICE vehicles and their potential for reduction of air pollution and utility load management are postulated.

Patil, P.G. (Research and Development, Electric and Hybrid Propulsion Div., U.S. Dept. of Energy, Washington, DC (US))

1990-12-01T23:59:59.000Z

386

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

387

Direct-hydrogen-fueled proton-exchange-membrane fuel cell system for transportation applications: Conceptual vehicle design report pure fuel cell powertrain vehicle  

SciTech Connect

In partial fulfillment of the Department of Energy (DOE) Contract No. DE-AC02-94CE50389, {open_quotes}Direct-Hydrogen-Fueled Proton-Exchange-Membrane (PEM) Fuel Cell for Transportation Applications{close_quotes}, this preliminary report addresses the conceptual design and packaging of a fuel cell-only powered vehicle. Three classes of vehicles are considered in this design and packaging exercise, the Aspire representing the small vehicle class, the Taurus or Aluminum Intensive Vehicle (AIV) Sable representing the mid-size vehicle and the E-150 Econoline representing the van-size class. A fuel cell system spreadsheet model and Ford`s Corporate Vehicle Simulation Program (CVSP) were utilized to determine the size and the weight of the fuel cell required to power a particular size vehicle. The fuel cell power system must meet the required performance criteria for each vehicle. In this vehicle design and packaging exercise, the following assumptions were made: fuel cell power system density of 0.33 kW/kg and 0.33 kg/liter, platinum catalyst loading less than or equal to 0.25 mg/cm{sup 2} total and hydrogen tanks containing gaseous hydrogen under 340 atm (5000 psia) pressure. The fuel cell power system includes gas conditioning, thermal management, humidity control, and blowers or compressors, where appropriate. This conceptual design of a fuel cell-only powered vehicle will help in the determination of the propulsion system requirements for a vehicle powered by a PEMFC engine in lieu of the internal combustion (IC) engine. Only basic performance level requirements are considered for the three classes of vehicles in this report. Each vehicle will contain one or more hydrogen storage tanks and hydrogen fuel for 560 km (350 mi) driving range. Under these circumstances, the packaging of a fuel cell-only powered vehicle is increasingly difficult as the vehicle size diminishes.

Oei, D.; Kinnelly, A.; Sims, R.; Sulek, M.; Wernette, D.

1997-02-01T23:59:59.000Z

388

American Electric Vehicles Inc | Open Energy Information  

Open Energy Info (EERE)

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

389

Advanced Vehicle Technologies Awards | Department of Energy  

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

Advanced Vehicle Technologies Awards Advanced Vehicle Technologies Awards Microsoft Word - VTP 175 Advanced Vehicle Tech project descriptions draft v5 8-2-11 AdvancedVehiclesTechn...

390

Electric-Drive Vehicle Basics (Brochure)  

DOE Green Energy (OSTI)

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

Not Available

2011-04-01T23:59:59.000Z

391

Household Vehicles Energy Consumption 1994 - PDF Tables  

U.S. Energy Information Administration (EIA)

Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

392

Vehicle Technologies Program Awards | Department of Energy  

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

Vehicle Technologies Program Awards Vehicle Technologies Program Awards vtpnum.zip More Documents & Publications Advanced Vehicle Technologies Awards Table Advanced Vehicle...

393

Vehicle Technologies Program (EERE) | Department of Energy  

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

Vehicle Technologies Program (EERE) Vehicle Technologies Program (EERE) information about the Vehicle Technologies Program (EERE) Vehicle Technologies Program (EERE) More Documents...

394

Hybrid Vehicle Technology - Home  

NLE Websites -- All DOE Office Websites (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

395

Vehicle Technologies Office: Ultracapacitors  

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

converter, which would increase the cost of the vehicle. The use of ultracapacitors for regenerative braking can greatly improve fuel efficiency under stop-and-go urban driving...

396

VEHICLE TECHNOLOGIES PROGRAM - Energy  

75 vehicle technologies program ed wall, program manager ed.wall@ee.doe.gov (202) 586-8055 venture capital technology showcase aug 21 and 22, 2007

397

Electric Vehicle Public Charging -  

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Electric Vehicle Public Charging - Time vs. Energy March, 2013 A critical factor for successful PEV adoption is the deployment and use of charging infrastructure in non-...

398

Electric Vehicle Fleet  

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

A98 0577 Electric Vehicle Fleet Operations in the United States Jim Francfort Presented to: 31st International Symposium on Automotive Technology and Automation Dusseldorf, Germany...

399

MOTOR VEHICLE MANUFACTURING TECHNOLOGY  

Science Conference Proceedings (OSTI)

... about half of the value added in light vehicles ... Selected Program White Papers. ... This white paper defines a program which supports the development ...

2011-10-19T23:59:59.000Z

400

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

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

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.


401

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

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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:

402

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

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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:

403

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

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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:

404

Advanced Vehicle Testing Activity: Full-Size Electric Vehicle...  

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Full-Size Electric Vehicle Fleet and Reliability Test Reports to someone by E-mail Share Advanced Vehicle Testing Activity: Full-Size Electric Vehicle Fleet and Reliability Test...

405

Vehicle Technologies Office: Plug-in Electric Vehicle Research...  

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Plug-in Electric Vehicle Research and Development to someone by E-mail Share Vehicle Technologies Office: Plug-in Electric Vehicle Research and Development on Facebook Tweet about...

406

Vehicle Technologies Office: Draft Plug-In Hybrid Electric Vehicle...  

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Draft Plug-In Hybrid Electric Vehicle R&D Plan to someone by E-mail Share Vehicle Technologies Office: Draft Plug-In Hybrid Electric Vehicle R&D Plan on Facebook Tweet about...

407

Vehicle Technologies Office: Fact #322: May 31, 2004 Hybrid Vehicle...  

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2: May 31, 2004 Hybrid Vehicle Registrations to someone by E-mail Share Vehicle Technologies Office: Fact 322: May 31, 2004 Hybrid Vehicle Registrations on Facebook Tweet about...

408

Vehicle Technologies Office: Fact #475: June 25, 2007 Light Vehicle...  

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5: June 25, 2007 Light Vehicle Weight on the Rise to someone by E-mail Share Vehicle Technologies Office: Fact 475: June 25, 2007 Light Vehicle Weight on the Rise on Facebook...

409

VEHICLE AND BATTERY DESCRIPTIONS AND SPECIFICATIONS Vehicle Details  

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

Page 1 VEHICLE AND BATTERY DESCRIPTIONS AND SPECIFICATIONS Vehicle Details Base Vehicle: 2011 Honda CR-Z VIN: JHMZF1C67BS004466 Electric Machine 1 : 10 kW (peak), permanent magnet...

410

VEHICLE AND BATTERY DESCRIPTIONS AND SPECIFICATIONS Vehicle Details  

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

Page 1 VEHICLE AND BATTERY DESCRIPTIONS AND SPECIFICATIONS Vehicle Details Base Vehicle: 2011 Honda CR-Z VIN: JHMZF1C64BS002982 Electric Machine 1 : 10 kW (peak), permanent magnet...

411

Effects of Vehicle Image in Gasoline-Hybrid Electric Vehicles  

E-Print Network (OSTI)

Image in Gasoline-Hybrid Electric Vehicles Reid R. HeffnerImage in Gasoline-Hybrid Electric Vehicles Reid R. Heffner,6, 2005 Abstract Hybrid electric vehicles (HEVs) have image,

Heffner, Reid R.; Kurani, Ken; Turrentine, Tom

2005-01-01T23:59:59.000Z

412

Effects of Vehicle Image in Gasoline-Hybrid Electric Vehicles  

E-Print Network (OSTI)

6, 2005 Abstract Hybrid electric vehicles (HEVs) have image,Image in Gasoline-Hybrid Electric Vehicles Reid R. HeffnerImage in Gasoline-Hybrid Electric Vehicles Reid R. Heffner,

Heffner, Reid R.; Kurani, Kenneth S; Turrentine, Tom

2005-01-01T23:59:59.000Z

413

Household savings and portfolio choice  

E-Print Network (OSTI)

This thesis consists of three essays that examine household savings and portfolio choice behavior. Chapter One analyses the effects of employer matching contributions and tax incentives on participation and contribution ...

Klein, Sean Patrick

2010-01-01T23:59:59.000Z

414

Advanced Vehicle Testing Activity: Plug-in Hybrid Electric Vehicle...  

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Procedures to someone by E-mail Share Advanced Vehicle Testing Activity: Plug-in Hybrid Electric Vehicle Specifications and Test Procedures on Facebook Tweet about Advanced...

415

Advanced Vehicle Testing Activity - Hybrid Electric Vehicle and...  

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

max speed, braking, & handling DOE - Advanced Vehicle Testing Activity Hybrid Electric Vehicle Testing * Fleet and accelerated reliability testing - 6 Honda Insights...

416

Advanced Vehicle Testing Activity - Full Size Electric Vehicles  

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

Full Size Electric Vehicles What's New Baseline Performance Testing for 2011 Nissan Leaf Battery Testing for 2011 Nissan Leaf - When New The Advanced Vehicle Testing Activity...

417

Effects of Vehicle Image in Gasoline-Hybrid Electric Vehicles  

E-Print Network (OSTI)

are substantially higher, particularly for the Toyota Prius.In 2004, Toyota updated the Prius, introducing a larger,vehicles, including the Toyota Prius. Vehicle 2004 Sales (11

Heffner, Reid R.; Kurani, Kenneth S; Turrentine, Tom

2005-01-01T23:59:59.000Z

418

NREL: Vehicles and Fuels Research - 2013 Vehicle Buyer's Guide...  

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

options, including hybrids, flex-fuel vehicles, and vehicles that run on natural gas, propane, electricity, or biodiesel. In addition to a comprehensive list of this year's...

419

Vehicle Technologies Office: Battery Systems  

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

Battery Systems A hybrid vehicle uses two or more forms of energy to propel the vehicle. Many hybrid electric vehicles (HEV) sold today are referred to as "hybrids" because it...

420

VEHICLE DETAILS AND BATTERY SPECIFICATIONS  

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

Page 1 of 6 VEHICLE DETAILS AND BATTERY SPECIFICATIONS 1 Vehicle Details Base Vehicle: 2013 Chevrolet Volt VIN: 1G1RA6E40DU103929 Propulsion System: Multi-Mode PHEV (EV, Series,...

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

VEHICLE DETAILS AND BATTERY SPECIFICATIONS  

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

Page 1 VEHICLE DETAILS AND BATTERY SPECIFICATIONS 1 Vehicle Details Base Vehicle: 2011 Chevrolet Volt VIN: 1G1RD6E48BU100815 Propulsion System: Multi-Mode PHEV (EV, Series, and...

422

Propane Vehicles | Department of Energy  

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

Vehicles Propane Vehicles August 20, 2013 - 9:16am Addthis There are more than 270,000 on-road propane vehicles in the United States and more than 10 million worldwide. Many are...

423

Powertrain & Vehicle Research Centre  

E-Print Network (OSTI)

the engine, transmission and aftertreatment systems. Optimising such a system for ultra low fuel consumption emulating hardware in the test cell environment Engine testing becomes a combination of real world and virtual environments Vehicle baseline testing on rolling road Calibration Control Engine Vehicle

Burton, Geoffrey R.

424

Hybrid Electric Vehicles  

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

Hybrid electric vehicles (HEVs) combine the benefits of high fuel economy and low emissions with the power, range, and convenience of conventional diesel and gasoline fueling. HEV technologies also have potential to be combined with alternative fuels and fuel cells to provide additional benefits. Future offerings might also include plug-in hybrid electric vehicles.

425

CMVRTC: Overweight Vehicle  

NLE Websites -- All DOE Office Websites (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

426

Which Vehicles Are Tested  

NLE Websites -- All DOE Office Websites (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

427

Financial and alternative choices in personal transportation habits  

Science Conference Proceedings (OSTI)

An empirical study was conducted of employed professionals, representative of the marketing and financial services industry located within the metropolitan section of Pittsburgh, PA, resulting in 191 useable questionnaires. The thrust was to investigate ... Keywords: CRM, Pennsylvania, Pittsburgh, USA, United States, automobile industry, automotive companies, choices, corporate strategy, customer relationship management, decision making, e-finance, electronic finance, employee behaviour, employer based transportation, employer supported transportation, financial incentives, financial services, fuel, gasoline, hybrid vehicles, marketing, multivariate analysis, new initiatives, perceptions, personal preferences, petrol, price mitigation, productivity, public transport, purchasing decisions, transportation habits, workforce benefits, working professionals

Alan D. Smith

2010-07-01T23:59:59.000Z

428

Vehicle body cover  

SciTech Connect

This patent describes a vehicle body covered with a vehicle body cover which comprises: a front cover part, a rear cover part, a pair of side cover parts, and a roof cover part: the front cover part having portions adapted to cover only a hood, an area around a windshield and tops of front fenders of a vehicle body. The portion covering the hood is separated from the portions covering the tops of the fenders by cuts in the front cover part, the front cover part having an un-cut portion corresponding to a position at which the hood is hinged to the car body. The front cover part has a cut-out at a position corresponding to the windshield of the vehicle body and the front cover part has at least one cut-out at a position corresponding to where a rear view mirror is attached to the vehicle body; and the rear cover part having portions adapted to cover an area around a rear window, a trunk lid and a rear end of the vehicle body, the portion covering the trunk lid separated from the rest of the rear cover part by cuts corresponding to three sides of the trunk lid and an un-cut portion corresponding to a position at which the trunk lid is hinged to the vehicle body. The rear cover part has a hole at position corresponding to a trunk lid lock, a cut-out portion at a position corresponding to the rear window of the vehicle body, a cut-out at a position corresponding to a license plate of the vehicle body and cut-outs at positions corresponding to rear taillights of the vehicle body.

Hirose, T.

1987-01-13T23:59:59.000Z

429

Vehicle Technologies Office: Plug-in Electric Vehicle Basics  

NLE Websites -- All DOE Office Websites (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.

430

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

NLE Websites -- All DOE Office Websites (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

431

Vehicle Technologies Office: Battery Systems  

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

Battery Systems to someone by E-mail Share Vehicle Technologies Office: Battery Systems on Facebook Tweet about Vehicle Technologies Office: Battery Systems on Twitter Bookmark...

432

Vehicle Technologies Office: Energy Storage  

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

Energy Storage to someone by E-mail Share Vehicle Technologies Office: Energy Storage on Facebook Tweet about Vehicle Technologies Office: Energy Storage on Twitter Bookmark...

433

Motor Vehicle Parts Compliance Requirements  

Science Conference Proceedings (OSTI)

... The OVSC compliance testing program is a strong incentive for manufacturers of motor vehicles and items of motor vehicle equipment to ...

2012-09-24T23:59:59.000Z

434

Vehicle Technologies Office: Propulsion Materials  

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

Materials Manufacturers use propulsion (or powertrain) materials in the components that move vehicles of every size and shape. Conventional vehicles use these materials in...

435

Electric vehicles | Open Energy Information  

Open Energy Info (EERE)

Electric 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...

436

Energy Basics: Hybrid Electric Vehicles  

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

a hybrid electric vehicle. Hybrid electric vehicles (HEVs) combine the benefits of high fuel economy and low emissions with the power, range, and convenience of conventional diesel...

437

Electric Vehicle Field Operations Program  

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

vehicle performance information. The final product is a report describing energy use, miles driven, maintenance requirements, and overall vehicle performance. Fleet Testing....

438

EERE: Vehicle Technologies Office - Webmaster  

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Webmaster Site Map Printable Version Share this resource Send a link to EERE: Vehicle Technologies Office - Webmaster to someone by E-mail Share EERE: Vehicle Technologies Office -...

439

Technology Analysis - Heavy Vehicle Technologies  

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

the GPRA benefits estimates for EERE's Vehicle Technologies Program's heavy vehicle technology research activities. Argonne researchers develop the benefits analysis using four...

440

Vehicle Technologies Office: National Laboratories  

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

National Laboratories to someone by E-mail Share Vehicle Technologies Office: National Laboratories on Facebook Tweet about Vehicle Technologies Office: National Laboratories on...

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

Vehicle Technologies Office: Workforce Development  

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

electric vehicle supply equipment (EVSE, also known as electric vehicle chargers). EVSE Residential Charging Installation introductory videos: Clean Cities provides a video...

442

Deploying Systems Interoperability and Customer Choice within...  

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

Deploying Systems Interoperability and Customer Choice within Smart Grid Title Deploying Systems Interoperability and Customer Choice within Smart Grid Publication Type Conference...

443

Hybrid vehicle potential assessment. Volume 10. Electric and hybrid vehicle cost handbook  

DOE Green Energy (OSTI)

The purpose of this interim cost handbood is to provide a consistent single-point source of data and procedures for estimating the costs of electric and hybrid vehicles. These costs include manufacturing, acquisition (purchase price), operating, and life cycle. Each suggested Cost Estimating Relation (CER) presented herein is a result of the compilation of currently existing cost estimates and cost relationships. No independent cost analysis was performed for this handbook, nor was any analysis performed to rework existing cost data for consistency in all primary assumptions. The cost data is presented in terms of major component and subassembly costs so that any vehicle (electric, hybrid, or conventional) can be costed. The cost estimating relations presented in this handbook are subjective averages of the several independent estimates for each component.

Heft, R.C.; Heller, S.C.

1979-09-30T23:59:59.000Z

444

PRE-SW Plug-in Electric Vehicle Load Estimator 0.81 BETA  

Science Conference Proceedings (OSTI)

The Plug-in Electric Vehicle Load Estimator generates forecasts of new plug-in vehicle sales in a specific geographical area and calculates relevant data including cumulative PEV market penetration, electricity demand of PEVs, and gasoline saved. The software calculates results for any time period from calendar year 2010 through 2050 based on a user-defined list of counties and a set of assumptions such as electricity and gasoline price forecasts. The county list may optionally include fractions that def...

2010-08-09T23:59:59.000Z

445

Search for Model Year 2013 Vehicles by Fuel or Vehicle Type  

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

Class... Compressed Natural Gas Vehicles Diesel Vehicles Electric Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Plug-in Hybrid Vehicles Search by Make Search by Model Search...

446

Search for Model Year 2012 Vehicles by Fuel or Vehicle Type  

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

Class... Compressed Natural Gas Vehicles Diesel Vehicles Electric Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Plug-in Hybrid Vehicles Search by Make Search by Model Search...

447

Search for Model Year 2011 Vehicles by Fuel or Vehicle Type  

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

Class... Compressed Natural Gas Vehicles Diesel Vehicles Electric Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Plug-in Hybrid Vehicles Search by Make Search by Model Search...

448

Vehicle Technologies Office: Ambassadors  

NLE Websites -- All DOE Office Websites (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.

449

VEHICLE ACCESS PORTALS  

NLE Websites -- All DOE Office Websites (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

450

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

451

Unmanned submarine vehicle  

SciTech Connect

An unmanned self-propelled submarine vehicle is provided with a material exchanger-container having a vertical axis of symmetry aligned with both the vehicle's center of gravity and its center of volume. The exchanger-container has a moveable diaphragm which divides the interior into two compartments, a lower ballast compartment equipped with an unloading apparatus and an upper compartment adapted to receive collected material. Ballast is unloaded during material loading to maintain the weight of the vehicle constant during loading.

Hervieu

1984-05-15T23:59:59.000Z

452

Vehicle Technologies Office: 2011 DOE Hydrogen Program and Vehicle  

NLE Websites -- All DOE Office Websites (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

453

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

NLE Websites -- All DOE Office Websites (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

454

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

NLE Websites -- All DOE Office Websites (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

455

Vehicle Technologies Office: 2009 DOE Hydrogen Program and Vehicle  

NLE Websites -- All DOE Office Websites (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

456

Vehicle Technologies Office: 2010 DOE Hydrogen Program and Vehicle  

NLE Websites -- All DOE Office Websites (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

457

Vehicle Management Driver Safety Program  

E-Print Network (OSTI)

in the city of La Rochelle [1], using fully automated electric and communicating road vehicles, better known campus was implemented using fully automated electric and communicating vehicles. The vehicles behavior. Safety Autonomous vehicles may need to stop in a progressive way in the case of obstacles in the way

Machel, Hans

458

Vehicle Technologies Office: Benchmarking  

NLE Websites -- All DOE Office Websites (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.

459

Vehicle Technologies Office: Publications  

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

in light-duty vehicles (including passe Details Bookmark & Share View Related Clean Cities Now Vol. 17, No. 2 The Fall 2013 issue of the biannual newsletter for the U.S....

460

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.


461

Materials - Vehicle Recycling  

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

end-of-life vehicles are shredded, along with other metal bearing items such as home appliances, process equipment and demolition debris, and their metals content is recovered for...

462

Vehicle Cost Calculator  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Electric Plug-in Hybrid Electric Natural Gas (CNG) Flex Fuel (E85) Biodiesel (B20) Next Vehicle Cost Calculator U.S. Department of Energy Energy Efficiency and Renewable Energy...

463

How Vehicles Are Tested  

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

simulates cycling. The energy required to move the rollers can be adjusted to account for wind resistance and the vehicle's weight. Photo: Driver running car through test cycle on...

464

Chevrolet Volt Vehicle Demonstration  

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

355,058 Average Ambient Temperature (deg F) 46.0 Electric Vehicle mode operation (EV) Gasoline fuel economy (mpg) No Fuel Used AC electrical energy consumption (AC Whmi) 416...

465

Chevrolet Volt Vehicle Demonstration  

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

2,405,406 Average Ambient Temperature (deg F) 61.4 Electric Vehicle mode operation (EV) Gasoline fuel economy (mpg) No Fuel Used AC electrical energy consumption (AC Whmi) 355...

466

Electric Vehicle Infrastructure  

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

Infrastructure JOHN DAVIS: Nearly everyone who owns a plug-in electric vehicle has some capacity to replenish the battery at home, either with a dedicated 220-volt charger, or by...

467

Energy Basics: Electric Vehicles  

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

Photo of an electric bus driving up a hill. Electricity can be used as a transportation fuel to power battery electric vehicles (EVs). EVs store electricity in an energy storage...

468

Natural Gas Vehicles  

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

Natural gas vehicles (NGVs) are either fueled exclusively with compressed natural gas or liquefied natural gas (dedicated NGVs) or are capable of natural gas and gasoline fueling (bi-fuel NGVs).

469

Household Vehicles Energy Consumption  

Reports and Publications (EIA)

This report provides newly available national and regional data and analyzes the nation's energy use by light-duty vehicles. This release represents the analytical component of the report, with a data component having been released in early 2005.

Mark Schipper

2005-11-30T23:59:59.000Z

470

Light Duty Vehicle Pathways  

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

in 2030 0 5 10 15 20 25 30 Million BarrelsDay IMPORTS DOMESTIC OIL SUPPLY OIL DEMAND ELECTRICITY RES. & COM. INDUSTRY MISC. TRANSPORT AIR TRUCKS LIGHT DUTY VEHICLES ETHANOL...

471

Hydrogen Fuel Cell Vehicles  

E-Print Network (OSTI)

local gasoline taxes ($/gal) This is equal to total motorgasoline tax in cents/mi) Vehicle efficiency parameters: input data 0.89 0.89 Once-through efficiency of electric motor,

Delucchi, Mark

1992-01-01T23:59:59.000Z

472

Alternative Fuel Vehicles: The Case of Compressed Natural Gas (CNG) Vehicles in California Households  

E-Print Network (OSTI)

VEHICLES: THE CASE OF COMPRESSED NATURAL GAS (CNG) VEHICLESyou first learn about compressed natural gas (CNG) vehicles?VEHICLES: THE CASE OF COMPRESSED NATURAL GAS (CNG) VEHICLES

Abbanat, Brian A.

2001-01-01T23:59:59.000Z

473

Vehicle Technologies Office: Electrical Machines  

NLE Websites -- All DOE Office Websites (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

474

Vehicle Technologies Office: Power Electronics  

NLE Websites -- All DOE Office Websites (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)

475

Vehicle Technologies Office: Deployment  

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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.

476

MODEL YEAR 2000 FUEL ECONOMY LEADERS IN POPULAR VEHICLE CLASSES  

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

COMPRESSED NATURAL GAS VEHICLES ... 5 LIQUEFIED PETROLEUM GAS (PROPANE) VEHICLES ...... 5 DIESEL VEHICLES ......

477

Advanced Vehicle Testing Activity: Overview  

NLE Websites -- All DOE Office Websites (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

478

Vehicle Technologies Office: 2009 Archive  

NLE Websites -- All DOE Office Websites (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

479

Vehicle Technologies Office: Energy Storage  

NLE Websites -- All DOE Office Websites (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.

480

Vehicle Technologies Office: 2013 Archive  

NLE Websites -- All DOE Office Websites (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

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

Alternative Fuels Data Center: Natural Gas Vehicle (NGV) Safety...  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Data Center Fuels & Vehicles Biodiesel | Diesel Vehicles Electricity | Hybrid & Plug-In Electric Vehicles Ethanol | Flex Fuel Vehicles Hydrogen | Fuel Cell Vehicles Natural Gas |...

482

Vehicle Manufacturing Futures in Transportation Life-cycle Assessment  

E-Print Network (OSTI)

gasoline vehicles, hybrid electric vehicles, aircraft, high-Gasoline Vehicle (CGV), Hybrid Electric Vehicle (HEV),Plug-in Hybrid Electric Vehicle (PHEV), and Battery Electric

Chester, Mikhail; Horvath, Arpad

2011-01-01T23:59:59.000Z

483

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...

484

Advanced Vehicle Testing Activity: Other Internal Combustion...  

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

Other Internal Combustion Engine Vehicles to someone by E-mail Share Advanced Vehicle Testing Activity: Other Internal Combustion Engine Vehicles on Facebook Tweet about Advanced...

485

Advanced Vehicle Testing Activity: Hydrogen Internal Combustion...  

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

to someone by E-mail Share Advanced Vehicle Testing Activity: Hydrogen Internal Combustion Engine Vehicle Basics on Facebook Tweet about Advanced Vehicle Testing Activity:...

486

Advanced Vehicle Testing Activity: Other Internal Combustion...  

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

Other Internal Combustion Engine Vehicles The Advanced Vehicle Testing Activity (AVTA) is tasked by the U.S. Department of Energy's (DOE) Vehicle Technology Office (VTO) to conduct...

487

Quantifying the benefits of hybrid vehicles  

E-Print Network (OSTI)

century. Hybrid electric vehicles (HEVs) reduce emissionsas plug-in HEVs and full electric vehicles to market. In theon their design, hybrid electric vehicles employ electric

Turrentine, Tom; Delucchi, Mark; Heffner, Reid R.; Kurani, Kenneth S; Sun, Yongling

2006-01-01T23:59:59.000Z

488

Middleware for Cooperative Vehicle-Infrastructure Systems  

E-Print Network (OSTI)

Cooperative vehicle-infrastructure systems." COM Safety:of Transportation. Vehicle-Infrastructure Integration (VII).for Cooperative Vehicle-Infrastructure Systems Christian

Manasseh, Christian; Sengupta, Raja

2008-01-01T23:59:59.000Z

489

What's a hydrogen blended fueled vehicle?  

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

available for testing. However, development of fuel cell vehicles continues in earnest by vehicle manufacturers and other groups such as DOE's FreedomCar & Vehicle Technologies...

490

Quantifying the benefits of hybrid vehicles  

E-Print Network (OSTI)

the first green vehicle, manufacturers created the first “market for safety in vehicles, manufacturers were initiallymanufacturers are convinced that car buyers are interested in green vehicles and

Turrentine, Tom; Delucchi, Mark; Heffner, Reid R.; Kurani, Kenneth S; Sun, Yongling

2006-01-01T23:59:59.000Z

491

Front Vehicle Setup Information Downloadable Dynamometer Database...  

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

Chevrolet Volt- 20F Test cell location Front Vehicle Setup Information Downloadable Dynamometer Database (D 3 )- Test Summary Sheet Vehicle architecture EREV Vehicle dynamometer...

492

California's Zero-Emission Vehicle Mandate  

E-Print Network (OSTI)

in a Shared Electric Vehicle Program. In Transporta- tionadvanced technologies and electric vehicles i n Japan. Earlysur­ vey. Nearly 50 electric vehicles were used, including

Shaheen, Susan

2004-01-01T23:59:59.000Z

493

Incentive Policies for Neighborhood Electric Vehicles  

E-Print Network (OSTI)

Developmentfor Neighborhood Electric Vehicles. Institute ofPaul. "Small and Electric: Vehicles With a Future." ResearchElectric Company. Electric Vehicle Program: Exhibit III

Lipman, Timothy E.; Kurani, Kenneth S.; Sperling, Daniel

2001-01-01T23:59:59.000Z

494

Incentive Policies for Neighborhood Electric Vehicles  

E-Print Network (OSTI)

Developmentfor Neighborhood Electric Vehicles. Institute ofPaul. "Small and Electric: Vehicles With a Future." ResearchElectric Company. Electric Vehicle Program: Exhibit III

Lipman, Timothy E.; Kuranu, Kenneth S.; Sperling, Daniel

1994-01-01T23:59:59.000Z

495

Proceedings of the Neighborhood Electric Vehicle Workshop  

E-Print Network (OSTI)

Preferences for Electric Vehicles. Electric Power ResearchWilliam L. Garrison, "Electric Vehicle Potential in Hawaii,"Neighborhood Electric Vehicle Workshop Proceedings While

Lipman, Timothy

1994-01-01T23:59:59.000Z

496

Proceedings of the Neighborhood Electric Vehicle Workshop  

E-Print Network (OSTI)

Preferences for Electric Vehicles. Electric PowerResearchWilliam L. Garrison, "Electric Vehicle Potential in Hawaii,"Ro Warf Pacific Electric Vehicles Research and Development

Lipman, Timothy E.; Kurani, Kenneth S.; Sperling, Daniel

1994-01-01T23:59:59.000Z

497

Proceedings of the Neighborhood Electric Vehicle Workshop  

E-Print Network (OSTI)

to protect the electric vehicle industry and limit liabilityElectric Vehicle Workshop brought together leaders from industry,duty electric vehicles. To provide flexibility to industry

Lipman, Timothy

1994-01-01T23:59:59.000Z

498

The Evolution of Sustainable Personal Vehicles  

E-Print Network (OSTI)

Propulsion Systems for Hybrid Vehicles. The Institution ofA.B. (1996). Ultralight-Hybrid Vehicle Design: OvercomingLightweight Electric/Hybrid Vehicle Design. Reel Educational

Jungers, Bryan D

2009-01-01T23:59:59.000Z

499

Solar Electrical Vehicles | Open Energy Information  

Open Energy Info (EERE)

California Zip 91361 Sector Solar, Vehicles Product US-based manufacturer of solar battery chargers for hybrid vehicles. References Solar Electrical Vehicles1 LinkedIn...

500

Commercial Motor Vehicle Brake-Related Research  

E-Print Network (OSTI)

Commercial Motor Vehicle Brake-Related Research Commercial Motor Vehicle Roadside Technology Corridor Safety Technology Showcase October 14, 2010 Commercial Motor Vehicle Roadside Technology Corridor