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Note: This page contains sample records for the topic "vehicle travel demand" from the National Library of EnergyBeta (NLEBeta).
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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

Travel Demand Modeling  

SciTech Connect

This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.

Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology

2011-01-01T23:59:59.000Z

2

Chapter 3. Vehicle-Miles Traveled  

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

3. Vehicle-Miles Traveled 3. Vehicle-Miles Traveled Chapter 3. Vehicle-Miles Traveled Vehicle-miles traveled--the number of miles that residential vehicles are driven--is probably the most important information collected by the Residential Transportation Energy Consumption Survey. Using the data on vehicle-miles traveled allows analysts to answer such questions as: "Are minivans driven more than passenger cars?" "Do people in the West drive more than people elsewhere?" "Do people conserve their new cars by driving them less?" "Who drives more--people in households with children, or other people?" "At what ages do people drive the most?" "How does growing income affect the amount of driving?" In addition to answering those kinds of questions, analysts also use the number of vehicle-miles traveled to compute estimated, on-road vehicle fuel consumption, economy, and expenditures, all of which have important implications for U.S. energy policy and national security (see Chapter 4).

3

Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Vehicle Miles Traveled Vehicle Miles Traveled Tax Feasibility Evaluation to someone by E-mail Share Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Facebook Tweet about Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Twitter Bookmark Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Google Bookmark Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Delicious Rank Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on Digg Find More places to share Alternative Fuels Data Center: Vehicle Miles Traveled Tax Feasibility Evaluation on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

4

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

55. Sample distribution of vehicle electricity demand forand distribution facilities that supply electricity demand.55. Sample distribution of vehicle electricity demand for

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

5

Petroleum Reduction Strategies to Reduce Vehicle Miles Traveled |  

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

Reduce Vehicle Miles Traveled Reduce Vehicle Miles Traveled Petroleum Reduction Strategies to Reduce Vehicle Miles Traveled October 7, 2013 - 11:52am Addthis YOU ARE HERE: Step 3 For reducing greenhouse gas emissions, the table below describes petroleum reduction strategies to reduce vehicle miles traveled, as well as guidance and best practices for each strategy. Table 1. Determining When and How to Promote the Use of Strategies to Reduce Vehicle Miles Traveled Strategy When Applicable Best Practices Consolidate trips Applicable to all vehicles, regardless of ownership or vehicle and fuel type Target vehicle operators who take longer trips Seek vehicle operator input and collaboration to identify regular or occasional trips that involve similar routes. Determine whether trips on multiple days or times can be consolidated into a single trip.

6

Travel Behavior and Demand Analysis and Prediction  

E-Print Network (OSTI)

and Demand Analysis and Prediction Konstadinos G. Goulias University of California Santa Barbara, Santa Barbara, CA, USA

Goulias, Konstadinos G

2007-01-01T23:59:59.000Z

7

Implementing Innovation in Planning Practice: The Case of Travel Demand Forecasting  

E-Print Network (OSTI)

Urban Travel Demand Forecasting Project. Institute ofTRB. Metropolitan Travel Forecasting: Current Practice andPurvis. Regional Travel Forecasting Model System for the San

Newmark, Gregory Louis

2011-01-01T23:59:59.000Z

8

A Demand Forecasting System for Clean-Fuel Vehicles  

E-Print Network (OSTI)

potential demand for electric cars. Journal of Econometrics,car by multi-vehicle households and the demand for electricelectric) vehicles, beginning with 2 percent of annual car

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

1994-01-01T23:59:59.000Z

9

Demand for Electric Vehicles in Hybrid Households: An Exploratory Analysis  

E-Print Network (OSTI)

stated they wouldlikely add an electric and vehicle to theirhouseholdsand the demand electric vehicles", Transportation1983) "A Critical Reviewof Electric Vehicle MarketStudies",

Kurani, Kenneth S.; Turrentine, Tom; Sperling, Daniel

1994-01-01T23:59:59.000Z

10

Potential single-occupancy vehicle demand for the Katy Freeway and Northwest Freeway high-occupancy vehicle lanes  

E-Print Network (OSTI)

Since the 1960�s, high-occupancy vehicle (HOV) lanes have been successfully used as a travel demand management technique. In recent years, there has been a growing interest in the use of high-occupancy toll (HOT) lanes as an alternative to HOV lanes to help manage the increasing demand for travel. HOT lanes combine pricing and vehicle occupancy restrictions to optimize the demand for HOV lanes. As two of the four HOT lanes in the world, the HOT lane facilities in Houston, Texas received relatively low patronage after operating for over 6 years on the Katy Freeway and over 4 years on the Northwest Freeway. There existed an opportunity to increase the usage of these HOT lanes by allowing single-occupancy vehicle (SOV) travelers to use the lanes, for an appropriate toll. The potential SOV demand for HOV lane use during the off-peak periods from the Katy Freeway and Northwest Freeway general-purpose lane (GPL) travelers was estimated in this study by using the data collected from a 2003 survey of travelers on the Katy and Northwest Freeway GPLs who were not enrolled in QuickRide. Based on survey results, more travelers would choose to drive on the HOT lanes as SOV travelers during the off-peak periods when the facilities provided higher travel time savings and charged lower tolls. Two important factors influencing travelers� use of the HOV lanes were their value of travel time savings (VTTS) and penalty for changing travel schedule (VPCS). It was found that respondents had VTTS approximately 43 percent of their hourly wage rate and VPCS approximately 3 percent of their hourly wage rate. Combining this information with current travel time savings and available capacity on the HOV lanes, it was found that approximately 2000 SOV travelers per day would pay an average toll of $2.25 to use the HOV lanes during the off-peak periods.

Xu, Lei

2005-08-01T23:59:59.000Z

11

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

12

Odometer Versus Self-Reported Estimates of Vehicle Miles Traveled  

Reports and Publications (EIA)

The findings described here compare odometer readings with self-reported estimates of Vehicle Miles Traveled (VMT) to investigate to what extent self-reported VMT is a reliable surrogate for odometer-based VMT.

Information Center

2000-08-01T23:59:59.000Z

13

The Road Ahead for Light Duty Vehicle Fuel Demand  

U.S. Energy Information Administration (EIA)

The Road Ahead for Light Duty Vehicle Fuel Demand Joanne Shore Energy Information Administration July 7, 2005 Refining Capacity Surplus Shrank As Demand Grew ...

14

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Non-vehicle demand load factor Natural gas price Carbon tax89). They increase with demand (and gross natural gas-firedelectricity demand and by changing natural gas price and CO

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

15

Road Ahead for Light Duty Vehicle Fuel Demand, The  

Reports and Publications (EIA)

Explores some potential variations in light-duty vehicle demand to illustrate both the magnitude of demand changes and the length of time that it can take to affect demand when different levels of new-vehicle efficiencies and penetrations are assumed

Information Center

2005-07-11T23:59:59.000Z

16

Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

E-Print Network (OSTI)

In contrast to a hybrid vehicle whichcombines multiple1994) "Demand Electric Vehicles in Hybrid for Households:or 180 mile hybrid electric vehicle. Natural gas vehicles (

Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

2001-01-01T23:59:59.000Z

17

The Road Ahead for Light Duty Vehicle Fuel Demand  

Gasoline and Diesel Fuel Update (EIA)

Energy Information Administration Logo. If you need assistance viewing this page, please call (202) 586-8800 The Road Ahead for Light Duty Vehicle Fuel Demand Click here to start...

18

Smart Electric Vehicle Supply Equipment Demand Response Pilot  

Science Conference Proceedings (OSTI)

This report discusses a unique pilot project to evaluate electric vehicle supply equipment (EVSE) capable of demand response (DR) and its integration into the utility smart metering infrastructure.BackgroundThere is an immediate need to research grid interface compatibility of public charging apparatus and to develop requirements and reference design blueprints for the entire plug-in electric vehicle (PEV) charging infrastructure—from the vehicle ...

2012-12-31T23:59:59.000Z

19

Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

E-Print Network (OSTI)

1994) Demand for Electric Vehicles in Hybrid Households: A nand the Household Electric Vehicle Market: A Constraintsthe mar- ket for electric vehicles in California. Presented

Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

1996-01-01T23:59:59.000Z

20

Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

E-Print Network (OSTI)

the demand electric vehicles’, TransportationResearchA,1994) ~tive NewsCalifornia Electric Vehicle ConsumerStudy.1995) Forecasting Electric Vehicle Ownership Use in the

Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

2001-01-01T23:59:59.000Z

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

Analysis of Auto Travel Demand Elasticities.pub  

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

vehicles. The elasticities with regard to income are similar for urban and rural households. However, fuel price elasticity is smaller for urban households, compared to the...

22

Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

E-Print Network (OSTI)

travel by electric and hybrid vehicles. SAE Technical PapersIn contrast to a hybrid vehicle which combines multipleElectric, Hybrid and Other Alternative Vehicles. A r t h u r

Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

1996-01-01T23:59:59.000Z

23

A needs-based approach to activity generation for travel demand analysis/  

E-Print Network (OSTI)

This thesis develops a needs-based framework for behavioral enhancement of conventional activity-based travel demand models. Operational activity-based models specify activity generation models based on empirical considerations ...

Pattabhiraman, Varun R. (Varun Ramakrishna)

2012-01-01T23:59:59.000Z

24

Forecasting 65+ travel : an integration of cohort analysis and travel demand modeling  

E-Print Network (OSTI)

Over the next 30 years, the Boomers will double the 65+ population in the United States and comprise a new generation of older Americans. This study forecasts the aging Boomers' travel. Previous efforts to forecast 65+ ...

Bush, Sarah, 1973-

2003-01-01T23:59:59.000Z

25

Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

E-Print Network (OSTI)

or 180 mile hybrid electric vehicle. Natural gas vehicles (1994) Demand for Electric Vehicles in Hybrid Households: A nof Electric, Hybrid and Other Alternative Vehicles. A r t h

Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

1996-01-01T23:59:59.000Z

26

Rebound 2007: Analysis of U.S. Light-Duty Vehicle Travel Statistics  

SciTech Connect

U.S. national time series data on vehicle travel by passenger cars and light trucks covering the period 1966 2007 are used to test for the existence, size and stability of the rebound effect for motor vehicle fuel efficiency on vehicle travel. The data show a statistically significant effect of gasoline price on vehicle travel but do not support the existence of a direct impact of fuel efficiency on vehicle travel. Additional tests indicate that fuel price effects have not been constant over time, although the hypothesis of symmetry with respect to price increases and decreases is not rejected. Small and Van Dender (2007) model of a declining rebound effect with income is tested and similar results are obtained.

Greene, David L [ORNL

2010-01-01T23:59:59.000Z

27

Figure 72. Vehicle miles traveled per licensed driver, 1970-2040 ...  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 72. Vehicle miles traveled per licensed driver, 1970-2040 (thousand miles) History Reference case 1970.00 $8.69 1971.00 $9.01

28

Demand for special-performance vehicles, 1975--2025  

SciTech Connect

In the research for alternatives to the internal combustion engine (ICE), UCLLL developed several concepts for alternative energy storage and propulsion systems for passenger cars and light trucks. These conceptual designs include technologies such as battery electric systems, hydrogen-powered systems, and the quasi-electric-drive hybrid (a battery/flywheel hybrid) with a small ICE for range extension). These alternative technologies, referred to as special-performance vehicles (SPVs), may be inferior to the ICE either in acceleration or range (or both). Capital and operating costs for the vehicles span a wide range. UCLLL determined from an engineering standpoint the difference between the cost and performance of the SPVs and ICEs. However, they required a long-range forecast of the marketability of SPVs, i.e., the number and type of each of the alternative technologies that would be sold in a given year, and the annual vehicle miles that each type would travel (VMT). UCLLL needed to know how these estimates of market penetration would respond to alternative assumptions regarding fuel prices, capital and operating cost, total auto ownership forecasts, and demographic characteristics of the American people. Cambridge Systematics (CS) prepared long-range forecasts of the VMT operated by each SP vehicle type in each of four years: 1975, 1985, 2000, and 2025. CS also made market forecasts of SPV use in light-truck applications (under 10,000 lbs.) and made regional ton-mile forecasts for heavy trucks for use in UCLLL energy consumption and flow models. UCLLL provided national aggregate forecasts of variables such as population, auto ownership, per capita income, VMT, TM, and other variables needed in the study.

1978-09-01T23:59:59.000Z

29

Projection of Chinese motor vehicle growth, oil demand, and CO{sub 2}emissions through 2050.  

SciTech Connect

As the vehicle population in China increases, oil consumption and carbon dioxide (CO{sub 2}) emissions associated with on-road transportation are rising dramatically. During this study, we developed a methodology to project trends in the growth of the vehicle population, oil demand, and CO{sub 2} emissions associated with on-road transportation in China. By using this methodology, we projected--separately--the number of highway vehicles, motorcycles, and rural vehicles in China through 2050. We used three scenarios of highway vehicle growth (high-, mid-, and low-growth) to reflect patterns of motor vehicle growth that have occurred in different parts of the world (i.e., Europe and Asia). All are essentially business-as-usual scenarios in that almost none of the countries we examined has made concerted efforts to manage vehicle growth or to offer serious alternative transportation means to satisfy people's mobility needs. With this caveat, our projections showed that by 2030, China could have more highway vehicles than the United States has today, and by 2035, it could have the largest number of highway vehicles in the world. By 2050, China could have 486-662 million highway vehicles, 44 million motorcycles, and 28 million rural vehicles. These numbers, which assume essentially unmanaged vehicle growth, would result in potentially disastrous effects on the urban infrastructure, resources, and other social and ecological aspects of life in China. We designed three fuel economy scenarios, from conservative to aggressive, on the basis of current policy efforts and expectations of near-future policies in China and in developed countries. It should be noted that these current and near-future policies have not taken into consideration the significant potential for further fuel economy improvements offered by advanced technologies such as electric drive technologies (e.g., hybrid electric vehicles and fuel-cell vehicles). By using vehicle growth projections and potential vehicle fuel economy, we projected that China's on-road vehicles could consume approximately 614-1016 million metric tons of oil per year (12.4-20.6 million barrels per day) and could emit 1.9-3.2 billion metric tons of CO{sub 2} per year in 2050, which will put tremendous pressure on the balance of the Chinese and world oil supply and demand and could have significant implications on climate change. Our analysis shows that, while improvements in vehicle fuel economy are crucial for reducing transportation energy use, containing the growth of the vehicle population could have an even more profound effect on oil use and CO{sub 2} emissions. This benefit is in addition to other societal and environmental benefits--such as reduced congestion, land use, and urban air pollution--that will result from containing vehicle population growth. Developing public transportation systems for personal travel and rail and other modes for freight transportation will be important for containing the growth of motor vehicles in China. Although the population of passenger cars will far exceed that of all truck types in China in the future, our analysis shows that oil use by and CO{sub 2} emissions from the Chinese truck fleet will be far larger than those related to Chinese passenger cars because trucks are very use intensive (more vehicle miles traveled per year) and energy intensive (lower fuel economy). Unfortunately, the potential for improving fuel economy and reducing air pollutant emissions for trucks has not been fully explored; such efforts are needed. Considering the rapid depletion of the world's oil reserve, the heightened global interest in addressing greenhouse gas emissions, and the geopolitical complications of global oil supply and demand, the study results suggest that unmanaged vehicle growth and limited improvements in vehicle fuel efficiency will lead to an unsustainable and unstable transportation system in China. In other words, while our projections do not definitively indicate what will happen in the Chinese transportation sector by 2050, they do demonstrate

Wang, M.; Huo, H.; Johnson, L.; He, D.

2006-12-20T23:59:59.000Z

30

Projection of Chinese motor vehicle growth, oil demand, and CO{sub 2}emissions through 2050.  

Science Conference Proceedings (OSTI)

As the vehicle population in China increases, oil consumption and carbon dioxide (CO{sub 2}) emissions associated with on-road transportation are rising dramatically. During this study, we developed a methodology to project trends in the growth of the vehicle population, oil demand, and CO{sub 2} emissions associated with on-road transportation in China. By using this methodology, we projected--separately--the number of highway vehicles, motorcycles, and rural vehicles in China through 2050. We used three scenarios of highway vehicle growth (high-, mid-, and low-growth) to reflect patterns of motor vehicle growth that have occurred in different parts of the world (i.e., Europe and Asia). All are essentially business-as-usual scenarios in that almost none of the countries we examined has made concerted efforts to manage vehicle growth or to offer serious alternative transportation means to satisfy people's mobility needs. With this caveat, our projections showed that by 2030, China could have more highway vehicles than the United States has today, and by 2035, it could have the largest number of highway vehicles in the world. By 2050, China could have 486-662 million highway vehicles, 44 million motorcycles, and 28 million rural vehicles. These numbers, which assume essentially unmanaged vehicle growth, would result in potentially disastrous effects on the urban infrastructure, resources, and other social and ecological aspects of life in China. We designed three fuel economy scenarios, from conservative to aggressive, on the basis of current policy efforts and expectations of near-future policies in China and in developed countries. It should be noted that these current and near-future policies have not taken into consideration the significant potential for further fuel economy improvements offered by advanced technologies such as electric drive technologies (e.g., hybrid electric vehicles and fuel-cell vehicles). By using vehicle growth projections and potential vehicle fuel economy, we projected that China's on-road vehicles could consume approximately 614-1016 million metric tons of oil per year (12.4-20.6 million barrels per day) and could emit 1.9-3.2 billion metric tons of CO{sub 2} per year in 2050, which will put tremendous pressure on the balance of the Chinese and world oil supply and demand and could have significant implications on climate change. Our analysis shows that, while improvements in vehicle fuel economy are crucial for reducing transportation energy use, containing the growth of the vehicle population could have an even more profound effect on oil use and CO{sub 2} emissions. This benefit is in addition to other societal and environmental benefits--such as reduced congestion, land use, and urban air pollution--that will result from containing vehicle population growth. Developing public transportation systems for personal travel and rail and other modes for freight transportation will be important for containing the growth of motor vehicles in China. Although the population of passenger cars will far exceed that of all truck types in China in the future, our analysis shows that oil use by and CO{sub 2} emissions from the Chinese truck fleet will be far larger than those related to Chinese passenger cars because trucks are very use intensive (more vehicle miles traveled per year) and energy intensive (lower fuel economy). Unfortunately, the potential for improving fuel economy and reducing air pollutant emissions for trucks has not been fully explored; such efforts are needed. Considering the rapid depletion of the world's oil reserve, the heightened global interest in addressing greenhouse gas emissions, and the geopolitical complications of global oil supply and demand, the study results suggest that unmanaged vehicle growth and limited improvements in vehicle fuel efficiency will lead to an unsustainable and unstable transportation system in China. In other words, while our projections do not definitively indicate what will happen in the Chinese transportation sector by 2050, they do demonstrate

Wang, M.; Huo, H.; Johnson, L.; He, D.

2006-12-20T23:59:59.000Z

31

A memetic algorithm for the multi-compartment vehicle routing problem with stochastic demands  

Science Conference Proceedings (OSTI)

The multi-compartment vehicle routing problem (MC-VRP) consists of designing transportation routes to satisfy the demands of a set of customers for several products that, because of incompatibility constraints, must be loaded in independent vehicle compartments. ... Keywords: Evolutionary algorithms, Memetic algorithms, Multi-compartment vehicle routing problem, Stochastic demands

Jorge E. Mendoza; Bruno Castanier; Christelle Guéret; Andrés L. Medaglia; Nubia Velasco

2010-11-01T23:59:59.000Z

32

Reoptimization Approaches for the Vehicle-Routing Problem with Stochastic Demands  

Science Conference Proceedings (OSTI)

We consider the vehicle-routing problem with stochastic demands (VRPSD) under reoptimization. We develop and analyze a finite-horizon Markov decision process (MDP) formulation for the single-vehicle case and establish a partial characterization of the ... Keywords: application, dynamic programming, heuristics, network/graphs, stochastic demands, stochastic model, transportation, vehicle-routing problem

Nicola Secomandi; François Margot

2009-01-01T23:59:59.000Z

33

Travel and Electricity Demand Analysis of Potential U.S. High-Speed Rail and Maglev Corridors  

Science Conference Proceedings (OSTI)

Highway and air travel continue to increase steadily every year, with the number of air flights growing almost three times faster than automobile trips. High-speed rail trains and magnetically levitated vehicles can potentially provide viable intercity travel alternatives to airplanes and automobiles. This report assesses the possible ridership and the potential electrical loads created by these high-speed ground transportation systems.

1994-03-01T23:59:59.000Z

34

Using GPS Travel Data to Assess the Real World Driving Energy Use of Plug-In Hybrid Electric Vehicles (PHEVs)  

DOE Green Energy (OSTI)

Highlights opportunities using GPS travel survey techniques and systems simulation tools for plug-in hybrid vehicle design improvements, which maximize the benefits of energy efficiency technologies.

Gonder, J.; Markel, T.; Simpson, A.; Thornton, M.

2007-05-01T23:59:59.000Z

35

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Gas Emissions from Plug-in Hybrid Vehicles: Implications forGas Emissions from Plug-in Hybrid Vehicles: Implications forassessment of plug-in hybrid vehicles on electric utilities

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

36

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Impacts of Plug-in Hybrid Electric Vehicles on RegionalAnalysis of Plug-in Hybrid Electric Vehicles, ANL/ESD/09-2,of Plug-In Hybrid Electric Vehicles, Volume 2: United States

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

37

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

of Plug-in Hybrid Electric Vehicles on Regional PowerTransmission Area, in Electric Vehicle Symposium, Anaheim,of Plug-in Hybrid Electric Vehicles, ANL/ESD/09-2, Argonne

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

38

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

serves to partially fill off-peak demand troughs. If passivehigher before or after the peak demand hour when hydro powerare highest during off-peak demand hours, and are low at

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

39

Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands  

Science Conference Proceedings (OSTI)

This paper introduces a new hybrid algorithmic approach based on Particle Swarm Optimization (PSO) for successfully solving one of the most popular supply chain management problems, the Vehicle Routing Problem with Stochastic Demands (VRPSD). The VRPSD ... Keywords: Particle Swarm Optimization, Path relinking, Vehicle Routing Problem with Stochastic Demands

Yannis Marinakis; Georgia-Roumbini Iordanidou; Magdalene Marinaki

2013-04-01T23:59:59.000Z

40

Demand Dispatch Based on Smart Charging of Plug-in Electric Vehicles  

Science Conference Proceedings (OSTI)

Uncontrolled charging of Plug-in Electric Vehicles (PEVs) has a negative impact on the peak load and brings potential challenges to electric utility. In this paper, we apply a statistical load model of PEVs charging demand to simulate the driving habits ... Keywords: Plug-in Electric Vehicles, Demand dispatch, Smart charging, Driving habits, Load model

Ting Wu, Gang Wu, Zhejing Bao, Wenjun Yan, Yiyan Zhang

2012-07-01T23:59:59.000Z

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

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

E-Print Network (OSTI)

respondents believe compressed natural gas vehicles are asrespondents believe compressed natural gas vehicles are lessbelieved that compressed natural gas vehicles (CNGVs) were

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

42

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

E-Print Network (OSTI)

unlikely). For electric vehicles the primary safety concernsand safety issues of nickel metal-hydride batteries for electric vehicles.

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

43

Incident detection using the Standard Normal Deviate model and travel time information from probe vehicles  

E-Print Network (OSTI)

One application of travel time information explored in this thesis is freeway incident detection. It is vital to develop reliable methods for automatically detecting incidents to facilitate the quick response and removal of incidents before they cause breakdowns in traffic flow. The use of real-time travel time data to monitor freeway conditions has the advantages over conventional loop detectors of taking into account the dynamic, longitudinal nature of traffic flow and requiring data from only a portion of the traffic stream. This study employed the Standard Normal Deviate (SND) Model to test the feasibility of using travel time data to detect lane blocking incidents. The fundamental concept of the SND Model was based on the comparison of real-time travel time data to historical travel time data for given freeway segments during specified times. The travel time and incident reports used were collected through the Real-Time Traffic Information System (RTTIS) in the north freeway corridor of Houston, Texas using probe vehicles equipped with cellular telephones. The data were compiled on 39 freeway links from October 1991 through August 1992 on weekdays during morning and afternoon data collection periods. The results of incident detection tests, applying the SND Model to incident and travel time me data from the North Freeway, indicated high successful incident detection rates. However, high false alarm rates also resulted from the SND Model test applications. An optimum SND value of 2.0 was observed for the North Freeway test data. At this value the SND tests produced successful incident detection rates of 70 percent and higher during both the morning and afternoon periods. False alarm rates were also 70 percent. The best results were achieved on those freeway sections where the most incident and travel time data had been collected. The overall results of the incident detection tests on the North Freeway demonstrated that the SND Model was a feasible incident detection algorithm, but required an extensive historical travel time data base.

Mountain, Christopher Eugene

1993-01-01T23:59:59.000Z

44

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Vehicles on Regional Power Generation, ORNL/TM-2007/150, Oakincrease renewable power generation, and reduce greenhouserecharging or renewable power generation, and the technical

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

45

An Econometric Analysis of the Elasticity of Vehicle Travel with Respect to Fuel Cost per Mile Using RTEC Survey Data  

Science Conference Proceedings (OSTI)

This paper presents the results of econometric estimation of the ''rebound effect'' for household vehicle travel in the United States based on a comprehensive analysis of survey data collected by the U.S. Energy Information Administration (EIA) at approximately three-year intervals over a 15-year period. The rebound effect is defined as the percent change in vehicle travel for a percent change in fuel economy. It summarizes the tendency to ''take back'' potential energy savings due to fuel economy improvements in the form of increased vehicle travel. Separate vehicles use models were estimated for one-, two-, three-, four-, and five-vehicle households. The results are consistent with the consensus of recently published estimates based on national or state-level data, which show a long-run rebound effect of about +0.2 (a ten percent increase in fuel economy, all else equal, would produce roughly a two percent increase in vehicle travel and an eight percent reduction in fuel use). The hypothesis that vehicle travel responds equally to changes in fuel cost-per-mile whether caused by changes in fuel economy or fuel price per gallon could not be rejected. Recognizing the interdependency in survey data among miles of travel, fuel economy and price paid for fuel for a particular vehicle turns out to be crucial to obtaining meaningful results.

Greene, D.L.; Kahn, J.; Gibson, R.

1999-03-01T23:59:59.000Z

46

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

availability, operational limits, ramp rates, and start-up costs Reliability requirements Transmission andavailability, electricity demand, and dispatches power plants based on operating costs and transmission

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

47

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

E-Print Network (OSTI)

unlikely). For electric vehicles the primary safety concernsand safety issues of mckel C M metal-hydride batteries for electric vehicles

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

48

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

E-Print Network (OSTI)

respondents beheve compressed natural gas vehicles are asbelieved that compressed natural gas vehlcles (CNGVs) werethat he converts compressed natural gas vehicles back to

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

49

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Designing Markets for Electricity, Wiley-IEEE Press. CEC (in Major Drivers in U.S. Electricity Markets, NREL/CP-620-and fuel efficiency and electricity demand assumptions used

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

50

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

hourly distribution of hydro energy does change with demand,drawn down, non-baseload hydro energy is assumed to be load-the spread of annual hydro energy has varied by more than a

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

51

Vehicle Demand Responses of Green Vehicle Taxation Policies and Increased Gasoline Prices.  

E-Print Network (OSTI)

??The U.S. Federal Highway Trust Fund has experienced significant shortfalls in revenue. This thesis develops three green transportation financing polices based on the fixed vehicle… (more)

Methipara, Jasmy

2010-01-01T23:59:59.000Z

52

San Francisco City CarShare: Travel-Demand Trends and Second-Year Impacts  

E-Print Network (OSTI)

influenced private-car usage, belonging to City CarSharesurvey about their car-share usage. Members completed theUsage Exhibit B.1. City CarShare In-Vehicle Survey Instrument CITY CARSHARE SURVEY -- Car

Cervero, Robert; Tsai, Yu-Hsin

2003-01-01T23:59:59.000Z

53

Design for implementation : fully integrated charging & docking infrastructure used in Mobility-on-Demand electric vehicle fleets  

E-Print Network (OSTI)

As the technology used in electric vehicles continues to advance, there is an increased demand for urban-appropriate electric charging stations emphasizing a modern user interface, robust design, and reliable functionality. ...

Martin, Jean Mario Nations

2012-01-01T23:59:59.000Z

54

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network (OSTI)

non-electric vehicles, non-CNG vehicles, vehicle size, andrelated to ability to refuel EV or CNG vehicles at home.type vehicles: gasoline, CNG, methanol and EV. In the Wave-1

Sheng, Hongyan

1999-01-01T23:59:59.000Z

55

Equity Evaluation of Vehicle Miles Traveled Fees in Texas Lisa Larsen, EIT  

E-Print Network (OSTI)

advanced technology vehicles (plug-in hybrids, extended range electric vehicles or hydrogen ICEVs+ vehicles are plug-in hybrid or hydrogen internal combustion engine vehicles Under the CARB zero to station owners Government could offer incentives such as investment tax credits to offset a significant

Burris, Mark W.

56

Simulated Fuel Economy and Performance of Advanced Hybrid Electric and Plug-in Hybrid Electric Vehicles Using In-Use Travel Profiles  

DOE Green Energy (OSTI)

As vehicle powertrain efficiency increases through electrification, consumer travel and driving behavior have significantly more influence on the potential fuel consumption of these vehicles. Therefore, it is critical to have a good understanding of in-use or 'real world' driving behavior if accurate fuel consumption estimates of electric drive vehicles are to be achieved. Regional travel surveys using Global Positioning System (GPS) equipment have been found to provide an excellent source of in-use driving profiles. In this study, a variety of vehicle powertrain options were developed and their performance was simulated over GPS-derived driving profiles for 783 vehicles operating in Texas. The results include statistical comparisons of the driving profiles versus national data sets, driving performance characteristics compared with standard drive cycles, and expected petroleum displacement benefits from the electrified vehicles given various vehicle charging scenarios.

Earleywine, M.; Gonder, J.; Markel, T.; Thornton, M.

2010-01-01T23:59:59.000Z

57

Simulated Fuel Economy and Performance of Advanced Hybrid Electric and Plug-in Hybrid Electric Vehicles Using In-Use Travel Profiles  

SciTech Connect

As vehicle powertrain efficiency increases through electrification, consumer travel and driving behavior have significantly more influence on the potential fuel consumption of these vehicles. Therefore, it is critical to have a good understanding of in-use or 'real world' driving behavior if accurate fuel consumption estimates of electric drive vehicles are to be achieved. Regional travel surveys using Global Positioning System (GPS) equipment have been found to provide an excellent source of in-use driving profiles. In this study, a variety of vehicle powertrain options were developed and their performance was simulated over GPS-derived driving profiles for 783 vehicles operating in Texas. The results include statistical comparisons of the driving profiles versus national data sets, driving performance characteristics compared with standard drive cycles, and expected petroleum displacement benefits from the electrified vehicles given various vehicle charging scenarios.

Earleywine, M.; Gonder, J.; Markel, T.; Thornton, M.

2010-01-01T23:59:59.000Z

58

Intelligent energy management: impact of demand response and plug-in electric vehicles in a smart grid environment  

Science Conference Proceedings (OSTI)

Modernization of the power grid to meet the growing demand requires significant amount of operational, technological, and infrastructural overhaul. The Department of Energy's "Grid 2030" strategic vision outlines the action plan to alleviate the concerns ... Keywords: controlled charging, demand response, plug in hybrid electric vehicles, smart grid

Seshadri Srinivasa Raghavan; Alireza Khaligh

2012-03-01T23:59:59.000Z

59

Cash for Clunkers? The Environmental Impact of Mexico's Demands for Used Vehicles  

E-Print Network (OSTI)

Chrysler Pontiac Other VEHICLE MANUFACTURER (proportion) A Chouseholds and new vehicle manufacturers would benefit fromon the overall vehicle fleets, by manufacturer and vintage,

Davis, Lucas W.; Kahn, Matthew E.

2011-01-01T23:59:59.000Z

60

Projections of highway vehicle population, energy demand, and CO{sub 2} emissions in India through 2040.  

Science Conference Proceedings (OSTI)

This paper presents projections of motor vehicles, oil demand, and carbon dioxide (CO{sub 2}) emissions for India through the year 2040. The populations of highway vehicles and two-wheelers are projected under three different scenarios on the basis of economic growth and average household size in India. The results show that by 2040, the number of highway vehicles in India would be 206-309 million. The oil demand projections for the Indian transportation sector are based on a set of nine scenarios arising out of three vehicle-growth and three fuel-economy scenarios. The combined effects of vehicle-growth and fuel-economy scenarios, together with the change in annual vehicle usage, result in a projected demand in 2040 by the transportation sector in India of 404-719 million metric tons (8.5-15.1 million barrels per day). The corresponding annual CO{sub 2} emissions are projected to be 1.2-2.2 billion metric tons.

Arora, S.; Vyas, A.; Johnson, L.; Energy Systems

2011-02-22T23:59:59.000Z

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

Vehicle emissions and energy consumption impacts of modal shifts  

E-Print Network (OSTI)

Growing concern over air quality has prompted the development of strategies to reduce vehicle emissions in these areas. Concern has also been expressed regarding the current dependency of the U,S, on foreign oil. An option for addressing these concerns is to reduce vehicle-miles travelled (VMT), High- occupancy vehicle (HOV) lanes have been cited as one alternative for achieving this goal. However, latent travel demand frequently negates some or all of the VMT savings brought about by HOV lanes, The net effects of modal shifts to HOV lanes and the subsequent latent travel demand were studied in the thesis, A methodology was developed for estimating vehicle emissions and energy consumption impacts of modal shifts from private vehicles in the freeway mainlanes to buses in an HOV lane when latent travel demand is considered. The methodology was evaluated and determined to yield reasonable results, Finally, the methodology was applied to a freeway corridor in Houston, Texas. The results of the application indicate that reductions in VMT do not necessarily cause reductions in vehicle emissions of interest even when considered, all three of the pollutants of latent travel demand is not consumption was decreased at considered. Energy consumption was decreased a virtually all levels of latent travel demand except where latent travel demand was equivalent to the mode shift.

Mallett, Vickie Lynn

1993-01-01T23:59:59.000Z

62

On the tour partitioning heuristic for the unit demand capacitated vehicle routing problem  

Science Conference Proceedings (OSTI)

The tour partitioning heuristic for the vehicle routing problem assumes an unlimited supply of vehicles. If the number of vehicles is fixed, this heuristic may produce infeasible solutions. We modify the heuristic to guarantee feasibility in this situation ... Keywords: Analysis of algorithms, Heuristic algorithm, Vehicle routing problem

Herbert F. Lewis; Thomas R. Sexton

2007-05-01T23:59:59.000Z

63

A decision support system of vehicle routing and refueling for motor carriers with time-sensitive demands  

Science Conference Proceedings (OSTI)

Given the recent trend of raising fuel cost and the increased time-sensitiveness of shippers, an extensive pressure is placed on the motor-carrier industry to meet the time-constrained customer demands at minimum fuel cost. We propose a decision support ... Keywords: Decision support system, Fuel cost, Motor carriers, Optimization, Vehicle routing

Yoshinori Suzuki

2012-12-01T23:59:59.000Z

64

Household Vehicles Energy Consumption 1991  

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

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

65

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

2005). Considering the energy market’s shift in demand toPHEV impact on wind energy market (Short et al. , 2006) andVehicles in California Energy Markets, Transportation

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

66

THE FUTURE DEMAND FOR ALTERNATIVE FUEL PASSENGER VEHICLES: A DIFFUSION OF INNOVATION APPROACH  

E-Print Network (OSTI)

............................................................................ 63 Figure 18. Observations and Predictions of CNG Vehicle Annual Sales, 1993 ............................................... 73 Figure 23. Annual Sales of CNG Vehicles in the Base Scenario (not including replacements)... 73 Figure 24. Annual Sales of CNG Vehicles in the Base Scenario (including replacements) ......... 74 Figure

Levinson, David M.

67

In-State Contract Vehicle Rental Rates (State Motor Pool Rental Contract for Business Travel)  

E-Print Network (OSTI)

# · Rates require that the vehicle be returned with a full tank of gas. · Unlimited mileage on all rentals Insurance. Large Truck 51 281 1,020 · Weekly rates are calculated at 5.5 times the Daily rate. Cargo Van/Truck 51 281 1,020 · Monthly rates will be calculated at 20 times the Daily rate. Van - 15 Passenger 90 495

Harms, Kyle E.

68

Testing Electric Vehicle Demand in "Hybrid Households" Using a Reflexive Survey  

E-Print Network (OSTI)

new feanlres of compressed natural gas. battery poweredgasoline, compressed natural gas, hybrid dectdc, two typesNatural gas vehicles (NGVs) were available with one two compressed

Kurani, Kenneth S.; Turrentine, Thomas; Sperling, Daniel

2001-01-01T23:59:59.000Z

69

Testing Electric Vehicle Demand in `Hybrid Households' Using a Reflexive Survey  

E-Print Network (OSTI)

new features of compressed natural gas, battery poweredgasoline, compressed natural gas, hybrid electric, two typesNatural gas vehicles (NGVs) were available with one or two compressed

Kurani, Kenneth; Turrentine, Thomas; Sperling, Daniel

1996-01-01T23:59:59.000Z

70

A Dynamic household Alternative-fuel Vehicle Demand Model Using Stated and Revealed Transaction Information  

E-Print Network (OSTI)

Potential Demand for Electric Cars”, Journal of Economrtricsand one large car) and one mini electric car. The two modelsscenarios: (i) a subcompact electric car is introduced to

Sheng, Hongyan

1999-01-01T23:59:59.000Z

71

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

72

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

73

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:

74

A Model of Household Demand for Activity Participation and Mobility  

E-Print Network (OSTI)

household car ownership, car usage, and travel by differentownership demand, and car usage demand. Modal travel demand,mode), car ownership, and car usage for spatial aggregations

Golob, Thomas F.

1996-01-01T23:59:59.000Z

75

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 ...

76

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....

77

Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power.  

Science Conference Proceedings (OSTI)

This paper uses a new unit commitment model which can simulate the interactions among plug-in hybrid electric vehicles (PHEVs), wind power, and demand response (DR). Four PHEV charging scenarios are simulated for the Illinois power system: (1) unconstrained charging, (2) 3-hour delayed constrained charging, (3) smart charging, and (4) smart charging with DR. The PHEV charging is assumed to be optimally controlled by the system operator in the latter two scenarios, along with load shifting and shaving enabled by DR programs. The simulation results show that optimally dispatching the PHEV charging load can significantly reduce the total operating cost of the system. With DR programs in place, the operating cost can be further reduced.

Wang, J.; Liu, C.; Ton, D.; Zhou, Y.; Kim, J.; Vyas, A. (Decision and Information Sciences); ( ES); (ED); (Kyungwon Univ.)

2011-07-01T23:59:59.000Z

78

The Effect of Improved Fuel Economy on Vehicle Miles Traveled: Estimates Using U.S. State Panel Data  

E-Print Network (OSTI)

respect to new-car price are: 12 S M , PV ? mv ? 1 v 1 ? ?new vehicle prices (1987=100) (logarithm: pv ). We includevalue -0.021, and pv with value -0.221. The price of fuel is

Van Dender, Kurt

2004-01-01T23:59:59.000Z

79

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

14   4   Charging Scenarios and Electricity Demand17   4.2   Electricity Demand34   Electricity Demand

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

80

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

electric vehicle options for compact sedan and sport utility vehicles (EPRI, 2002) An 80% required safety

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

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


81

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

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

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

82

Maglev vehicles and superconductor technology: Integration of high-speed ground transportation into the air travel system  

SciTech Connect

This study was undertaken to (1) evaluate the potential contribution of high-temperature superconductors (HTSCs) to the technical and economic feasibility of magnetically levitated (maglev) vehicles, (2) determine the status of maglev transportation research in the United States and abroad, (3) identify the likelihood of a significant transportation market for high-speed maglev vehicles, and (4) provide a preliminary assessment of the potential energy and economic benefits of maglev systems. HTSCs should be considered as an enhancing, rather than an enabling, development for maglev transportation because they should improve reliability and reduce energy and maintenance costs. Superconducting maglev transportation technologies were developed in the United States in the late 1960s and early 1970s. Federal support was withdrawn in 1975, but major maglev transportation programs were continued in Japan and West Germany, where full-scale prototypes now carry passengers at speeds of 250 mi/h in demonstration runs. Maglev systems are generally viewed as very-high-speed train systems, but this study shows that the potential market for maglev technology as a train system, e.g., from one downtown to another, is limited. Rather, aircraft and maglev vehicles should be seen as complementing rather than competing transportation systems. If maglev systems were integrated into major hub airport operations, they could become economical in many relatively high-density US corridors. Air traffic congestion and associated noise and pollutant emissions around airports would also be reduced. 68 refs., 26 figs., 16 tabs.

Johnson, L.R.; Rote, D.M.; Hull, J.R.; Coffey, H.T.; Daley, J.G.; Giese, R.F.

1989-04-01T23:59:59.000Z

83

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

market, plug-in hybrid vehicles (PHEVs) are now consideredof Current Knowledge of Hybrid Vehicle Characteristics andalso called PHEV (Plug-in Hybrid Vehicle) because they are

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

84

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

Hybrid Electric Vehicle Options for Compact Sedan and Sport Utility Vehicles, Report Electric Power Research Institute (2004) Advanced Batteries for Electric-Drive Vehicles,

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

85

Electricity Grid: Impacts of Plug-In Electric Vehicle Charging  

E-Print Network (OSTI)

discusses how electricity demands for vehicle charging cantiming of vehicle electricity demands. challenges associatedand timing of vehicle electricity demand. As the number of

Yang, Christopher; McCarthy, Ryan

2009-01-01T23:59:59.000Z

86

Travel plans: opportunities for ICT  

Science Conference Proceedings (OSTI)

Site-based mobility management or 'travel plans' address the transport problem by engaging with those organisations such as employers that are directly responsible for generating the demand for travel, and hence have the potential to have a major impact ... Keywords: ict, market niche, sustainable transport, travel plans

Marcus P. Enoch

2012-06-01T23:59:59.000Z

87

Table A1. U.S. Number of Vehicles, Vehicle-Miles, Motor Fuel ...  

U.S. Energy Information Administration (EIA)

Number of Vehicles Vehicle-Miles Traveled Motor Fuel Consumption Motor Fuel 2001 Household and Vehicle Expenditures ... Age of Primary Driver 16 to 17 Years ...

88

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

of light-duty vehicles in Xcel Energy service territory inVehicle Charging in the Xcel Energy Colorado Service

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

89

Forecasting a state-specific demand for highway fuels: the case for Hawaii  

SciTech Connect

An econometric model is developed to predict the demand for highway fuels in Hawaii over the next 20 years. The stock of motor vehicles is separated into six classes, and the demand for new vehicles is estimated using seemingly unrelated regression. Average fuel efficiency for the entire fleet stock, gasoline price, per capita income, and per capita stock are used to estimate per capita vehicle-miles traveled. Highway fuel consumption is then calculated as the quotient of vehicle-miles traveled and average fleet fuel efficiency. The model performs well within and outside the historical sample period. A historical simulation is performed which shows what might have happened had gasoline prices not skyrocketed in the 1970s. Predictions of highway fuel consumption through the year 2000 under three different gasoline price scenarios are then made. 29 references, 3 figures, 9 tables.

Leung, P.; Vesenka, M.H.

1987-01-01T23:59:59.000Z

90

Transportation Demand  

Gasoline and Diesel Fuel Update (EIA)

page intentionally left blank page intentionally left blank 69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation 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), buses, freight and passenger aircraft, freight and passenger rail, freight shipping, and miscellaneous

91

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

92

Understanding the differences in the development and use of advanced traveler information systems for vehicles (ATIS/V) in the U.S., Germany, and Japan  

E-Print Network (OSTI)

Traffic congestion is becoming a serious problem. As a solution, advanced traveler information systems (ATIS) mitigate traffic congestion by providing real-time traffic information to travelers. ATIS includes various ...

Sugawara, Yoshihiko

2007-01-01T23:59:59.000Z

93

Vehicle Technologies Office: Fact #552: January 5, 2009 Vehicle Miles of  

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

2: January 5, 2: January 5, 2009 Vehicle Miles of Travel by Region to someone by E-mail Share Vehicle Technologies Office: Fact #552: January 5, 2009 Vehicle Miles of Travel by Region on Facebook Tweet about Vehicle Technologies Office: Fact #552: January 5, 2009 Vehicle Miles of Travel by Region on Twitter Bookmark Vehicle Technologies Office: Fact #552: January 5, 2009 Vehicle Miles of Travel by Region on Google Bookmark Vehicle Technologies Office: Fact #552: January 5, 2009 Vehicle Miles of Travel by Region on Delicious Rank Vehicle Technologies Office: Fact #552: January 5, 2009 Vehicle Miles of Travel by Region on Digg Find More places to share Vehicle Technologies Office: Fact #552: January 5, 2009 Vehicle Miles of Travel by Region on AddThis.com... Fact #552: January 5, 2009

94

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

4.9). However, the maximum demand increase is produced byelectricity demand increases, especially for maximum loadsand maximum bounds. PHEV 20 cases have a peak demand of

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

95

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

Analysis of Plug-in Hybrid Electric Vehicle Technology,Impacts of Plug-In Hybrid Electric Vehicles on Energy andImpacts of Plug-In Hybrid Electric Vehicles on Energy and

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

96

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

of Plug-in Hybrid Electric Vehicle Technology, Nationalof Plug-In Hybrid Electric Vehicles on Energy and Emissionsof Plug-In Hybrid Electric Vehicles on Energy and Emissions

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

97

Travel Medicine  

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

SCOPE OF PROBLEM SCOPE OF PROBLEM * 21% of U.S. Adult Population Travel for Business * 1.4 million International Travelers Daily * Numbers will Increase * Include Workers in Planning TRAVEL AND INFECTIOUS DISEASE * Endemic Exotic Diseases * Antimicrobial Resistance *Non-Specific Presentation of Disease * Emergence/ Re-emergence of Infectious Agents * Importation/ Exportation of Infection Mary L. Doyle, MPH, RN, COHN-S/CM DOE Headquarters January 17,2002 INTERNATIONAL TRAVEL * Economic Expansion * Globalization of Companies * Extended * Extended & Short-tenn Assignments * Multi-National Travel * Circle Globe in Three Days * Incubation Period for Infectious Diseases * Employee Needs Advice from OHN HEALTH ASSESSMENT * Potential Travel Illnesses * Employee Health Risks

98

Transferring 2001 National Household Travel Survey  

Science Conference Proceedings (OSTI)

Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle Atlantic, and Pacific), MSA size, and the availability of rail. Extrapolating NHTS data within small geographic areas could risk developing and subsequently using unreliable estimates. For example, if a planning agency in City X of State Y estimates travel rates and other travel characteristics based on survey data collected from NHTS sample households that were located in City X of State Y, then the agency could risk developing and using unreliable estimates for their planning process. Typically, this limitation significantly increases as the size of an area decreases. That said, the NHTS contains a wealth of information that could allow statistical inferences about small geographic areas, with a pre-determined level of statistical certainty. The question then becomes whether a method can be developed that integrates the NHTS data and other data to estimate key travel characteristics for small geographic areas such as Census tract and transportation analysis zone, and whether this method can outperform other, competing methods.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL; Schmoyer, Richard L [ORNL; Chin, Shih-Miao [ORNL

2007-05-01T23:59:59.000Z

99

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

Cost-benefit Analysis of Plug-in Hybrid Electric Vehicle Technology, National Renewable EnergyCost and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory, National Renewable

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

100

2001 New York State NHTS: Travel Patterns of Special Populations  

SciTech Connect

Policymakers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and accommodate future demands; to assess the feasibility and efficiency of alternative congestion-alleviating technologies (e.g., high-speed rail, magnetically levitated trains, intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. Longer-distance travel was collected in 1977 and 1995. The 2001 National Household Travel Survey (NHTS) collected both daily and longer-distance trips in one survey. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel was not part of the survey. New York State participated in the 2001 NHTS by procuring additional 12,000 sample households. These additional sample households allowed New York State to address transportation planning issues pertinent to geographic areas that are significantly smaller than what the national NHTS data allowed. The final sample size for New York State was 13,423 usable households. In this report, Oak Ridge National Laboratory (ORNL) identifies and analyzes differences, if any, in travel patterns that are attributable to demographic characteristics (e.g., gender, age, race and ethnicity), household characteristics (e.g., low income households, zero and one car households), modal characteristics and geographic location. Travel patterns of those who work at home are examined and compared to those of conventional workers, as well as those who do not work. Focus is given to trip frequency, travel by time of day, trip purpose, and mode choice. For example, included in this analysis is the mobility of the elderly population in New York State. The American society is undergoing a major demographic transformation that is resulting in a greater percentage of older individuals in the population. In addition to demographic changes, recent travel surveys show that an increasing number of older individuals are licensed to drive and that they drive more than their same age cohort did a decade ago. Cohort differences in driving are particularly apparent - not only are more of today's elderly population licensed to drive than their age cohort two decades ago, they also drive more. Equally important are the increase in immigration and in racial and cultural diversity. This report also discusses vehicle availability, socioeconomic characteristics, travel trends (e.g., miles travelled, distance driven, commute patterns), and the transportation accessibility of these populations. Specifically, this report addresses in detail the travel behavior of the following special populations: (1) the elderly, defined as those who were 65 years old or older, (2) low-income households, (3) ethnic groups and immigrants, and (4) those who worked at home.

Hu, Patricia S [ORNL; Reuscher, Tim [ORNL

2010-03-01T23:59:59.000Z

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

Vehicle Technologies Office: Fact #535: September 8, 2008 Vehicle Miles of  

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

5: September 8, 5: September 8, 2008 Vehicle Miles of Travel (VMT) Declines in 2008 to someone by E-mail Share Vehicle Technologies Office: Fact #535: September 8, 2008 Vehicle Miles of Travel (VMT) Declines in 2008 on Facebook Tweet about Vehicle Technologies Office: Fact #535: September 8, 2008 Vehicle Miles of Travel (VMT) Declines in 2008 on Twitter Bookmark Vehicle Technologies Office: Fact #535: September 8, 2008 Vehicle Miles of Travel (VMT) Declines in 2008 on Google Bookmark Vehicle Technologies Office: Fact #535: September 8, 2008 Vehicle Miles of Travel (VMT) Declines in 2008 on Delicious Rank Vehicle Technologies Office: Fact #535: September 8, 2008 Vehicle Miles of Travel (VMT) Declines in 2008 on Digg Find More places to share Vehicle Technologies Office: Fact #535:

102

Vehicle Technologies Office: Fact #640: September 13, 2010 Monthly Trends  

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

0: September 13, 0: September 13, 2010 Monthly Trends in Vehicle Miles of Travel to someone by E-mail Share Vehicle Technologies Office: Fact #640: September 13, 2010 Monthly Trends in Vehicle Miles of Travel on Facebook Tweet about Vehicle Technologies Office: Fact #640: September 13, 2010 Monthly Trends in Vehicle Miles of Travel on Twitter Bookmark Vehicle Technologies Office: Fact #640: September 13, 2010 Monthly Trends in Vehicle Miles of Travel on Google Bookmark Vehicle Technologies Office: Fact #640: September 13, 2010 Monthly Trends in Vehicle Miles of Travel on Delicious Rank Vehicle Technologies Office: Fact #640: September 13, 2010 Monthly Trends in Vehicle Miles of Travel on Digg Find More places to share Vehicle Technologies Office: Fact #640: September 13, 2010 Monthly Trends in Vehicle Miles of Travel on

103

A tabu search algorithm for the split delivery vehicle routing problem  

E-Print Network (OSTI)

We consider the Split Delivery Vehicle Routing Problem (SDVRP) where a fleet of homogeneous vehicles has to serve a set of customers. Each customer can be visited more than once, contrary to what is usually assumed in the classical Vehicle Routing Problem (VRP) and the demand of each customer can be greater than the capacity of the vehicles. No constraint on the number of available vehicles is considered. There is a single depot for the vehicles and each vehicle has to start and end its tour at the depot. The objective is to find a set of vehicle routes that serve all the customers such that the sum of the quantity delivered in each tour does not exceed the capacity of the vehicles and the total distance travelled is minimized. The SDVRP has been introduced in the literature only few years ago by Dror and Trudeau (see [4] and [5]) who have considered the case where the demand of each customer is lower than the capacity of the vehicles. They have analyzed the savings generated by allowing split deliveries in a vehicle routing problem and they have presented a heuristic algorithm for the problem. They have also shown that when the distances satisfy the triangle inequality there exists an optimal solution for the SDVRP where no pair of tours have more than one customer in common. We study here the case where the capacity of the vehicles, as well as the demand of each

Claudia Archetti; Alain Hertz; M. Grazia Speranza

2005-01-01T23:59:59.000Z

104

An Activity-Based Assessment of the Potential Impacts of Plug-In Hybrid Electric Vehicles on Energy and Emissions Using One-Day Travel Data  

E-Print Network (OSTI)

times depend on their battery capacity (20/60 miles) andbattery sizes—higher AER vehicles generally require larger batteries with correspondingly greater electricity capacity,

Recker, W. W.; Kang, J. E.

2010-01-01T23:59:59.000Z

105

Travel Visa  

Science Conference Proceedings (OSTI)

Please note that the Department of Homeland Security is implementing the Electronic System for Travel Authorization, which is expected to be mandatory for

106

Travel Reimbursement  

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

Fund. TRAVEL RESOURCES Albuquerque Sunport Albuquerque Sunport Car Rental Center Atomic City Transit FastPark and Relax Albuquerque Airport Parking GSA Domestic Per Diem...

107

Transportation Demand Management in Beijing - Mitigation of emissions...  

Open Energy Info (EERE)

the implementation of transport demand management measures. Appropriate Transport Demand Management (TDM) strategies and measures can affect travel behaviour and therefore reduce...

108

The Effect of Improved Fuel Economy on Vehicle Miles Traveled: Estimating the Rebound Effect Using U.S. State Data, 1966-2001  

E-Print Network (OSTI)

respect to new-car price are: S ? M , PV = ? mv ? 1 v 1 ? ?new vehicle prices (1987=100) (logarithm: pv). P F : Priceof ( fint ) t-1 , D7479 , and pv . The price of fuel is not

Small, Kenneth A; Van Dender, Kurt

2005-01-01T23:59:59.000Z

109

Forecast of California car and truck fuel demand  

Science Conference Proceedings (OSTI)

The purpose of this work is to forecast likely future car and truck fuel demand in California in light of recent and possible additional improvements in vehicle efficiency. Forecasts of gasoline and diesel fuel demand are made based on projections of primary economic, demographic, and transportation technology variables. Projections of car and light truck stock and new sales are based on regression equations developed from historical data. Feasible future vehicle fuel economies are determined from technical improvements possible with existing technology. Several different cases of market-induced efficiency improvement are presented. Anticipated fuel economy improvements induced by federal mileage standards and rising fuel costs will cause lower future fuel demand, even though vehicle miles traveled will continue to increase both on a per capita and total basis. If only relatively low-cost fuel economy improvements are adopted after about 1985, when federal standards require no further improvements, fuel demand will decrease from the 1982 level of 11.7 billion gallons (gasoline equivalent) to 10.6 billion gallons in 2002, about a 9% reduction. Higher fuel economy levels, based on further refinements in existing technology, can produce an additional 7% reduction in fuel demand by 2002.

Stamets, L.

1983-01-01T23:59:59.000Z

110

Semiotics and Advanced Vehicles: What Hybrid Electric Vehicles (HEVs) Mean and Why it Matters to Consumers  

E-Print Network (OSTI)

the Demand for Electric Vehicles. Transportation Research Ain Relation to the Electric Vehicle. Science, Technology,In Early Markets For Hybrid Electric Vehicles. Institute of

Heffner, Reid R.

2007-01-01T23:59:59.000Z

111

Vehicle Technologies Office: Fact #284: September 8, 2003 U.S...  

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

4: September 8, 2003 U.S. Vehicle Travel and Gasoline Prices 2001-2003 to someone by E-mail Share Vehicle Technologies Office: Fact 284: September 8, 2003 U.S. Vehicle Travel and...

112

Beyond Rationality in Travel Demand Models  

E-Print Network (OSTI)

Subjects were more likely to choose a hybrid car if we toldemissions), purchase a hybrid car (with the same set ofmore likely to choose a hybrid car if we told them that a

Walker, Joan L.

2011-01-01T23:59:59.000Z

113

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

114

Transportation Demand This  

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

Transportation Demand Transportation Demand This page inTenTionally lefT blank 75 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Transportation Demand Module The NEMS Transportation Demand Module estimates transportation energy consumption across the nine Census Divisions (see Figure 5) and over ten fuel types. Each fuel type is modeled according to fuel-specific and associated 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), buses, freight and passenger aircraft, freight

115

Household Markets for Neighborhood Electric Vehicles in California  

E-Print Network (OSTI)

electric vehicles designed for local, neighborhood travel How we are funded — Calstart: a consortium of private industry,

Kurani, Kenneth S; Sperling, Daniel; Lipman, Timothy; Stanger, Deborah; Turrentine, Thomas; Stein, Aram

1995-01-01T23:59:59.000Z

116

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

117

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

118

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

119

Interactions between Electric-drive Vehicles and the Power Sector in California  

E-Print Network (OSTI)

vehicle demand. Plug-in hybrid vehicles are found to reduceto conventional hybrid vehicles is further considered inBattery, Hybrid and Fuel Cell Electric Vehicle Symposium

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2009-01-01T23:59:59.000Z

120

Travel | Department of Energy  

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

Travel Travel Travel The Travel Services Team serves as the Headquarters POC for the following services: Headquarters Travel Management Center (TMC) Official Travel, Domestic and Foriegn Foreign Travel Management System (FTMS) Official Travel Regulations and Guidelines U.S. Passports and Visa Services (Official and Diplomatic) Non-Refundable Airfare Guidance International Insurance for DOE Officials (MEDEX) RezProfiler Instructions Car Rental Hotel Reservations Travel FAQs For questions about Travel Services or the Travel Management Center, see the Contact Us, Travel Services Section Travel Management Center (TMC) The Travel Services Team oversees the Travel Management Center (TMC), which is operated by ADTRAV Travel Management. Office Hours - 8:00 a.m. to 5:00 p.m. Office Location - Forrestal, Room GE-180

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

Travel Award Program  

Science Conference Proceedings (OSTI)

Travel Award Program. What is the travel award? The CNST has a Cooperative Agreement with the University of Maryland Nanocenter. ...

2010-11-16T23:59:59.000Z

122

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.

123

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

124

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

125

EIA - Household Transportation report: Household Vehicles ...  

U.S. Energy Information Administration (EIA)

This report, Household Vehicles Energy Use: Latest Data & Trends, provides details on the nation's energy use for household passenger travel. A primary purpose of ...

126

Vehicle Technologies Office: Fact #370: May 2, 2005 How the Price of  

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

0: May 2, 2005 0: May 2, 2005 How the Price of Gasoline Relates to Vehicle Miles Traveled to someone by E-mail Share Vehicle Technologies Office: Fact #370: May 2, 2005 How the Price of Gasoline Relates to Vehicle Miles Traveled on Facebook Tweet about Vehicle Technologies Office: Fact #370: May 2, 2005 How the Price of Gasoline Relates to Vehicle Miles Traveled on Twitter Bookmark Vehicle Technologies Office: Fact #370: May 2, 2005 How the Price of Gasoline Relates to Vehicle Miles Traveled on Google Bookmark Vehicle Technologies Office: Fact #370: May 2, 2005 How the Price of Gasoline Relates to Vehicle Miles Traveled on Delicious Rank Vehicle Technologies Office: Fact #370: May 2, 2005 How the Price of Gasoline Relates to Vehicle Miles Traveled on Digg Find More places to share Vehicle Technologies Office: Fact #370:

127

Assess Potential Changes in Business Travel that Impact Greenhouse Gas  

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

Changes in Business Travel that Impact Greenhouse Changes in Business Travel that Impact Greenhouse Gas Emissions Assess Potential Changes in Business Travel that Impact Greenhouse Gas Emissions October 7, 2013 - 1:22pm Addthis YOU ARE HERE Step 1 For a Federal agency, changes in the demand for business travel can be difficult to predict. Changes in the nature of the agency's work may have a substantial impact on the demand for business travel. It is therefore important to account for these changes when planning for greenhouse gas (GHG) emissions reduction. Conditions that may contribute to a significant increase or decrease in the agency's business travel, beyond specific efforts to reduce business travel demand, include: Significant changes in the agency's budget Addition or completion of major program activities that require

128

Demand Response  

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

Peak load diagram Demand Response Demand Response (DR) is a set of time-dependent activities that reduce or shift electricity use to improve electric grid reliability, manage...

129

Demand Response  

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

Peak load diagram Demand Response Demand response (DR) is a set of time-dependent activities that reduce or shift electricity use to improve electric grid reliability, manage...

130

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions June 29, 2012 - 12:19pm Addthis Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE’s vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were reduced by greater than 60 percent. Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE's vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were

131

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions June 29, 2012 - 12:19pm Addthis Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE’s vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were reduced by greater than 60 percent. Judy McLemore from the Waste Isolation Pilot Plant led efforts to reduce the DOE's vehicle fleet by 20 percent, improving sustainability and saving money. Under her leadership, greenhouse gas emissions associated with business travel were reduced by 63 percent and travel costs were

132

Household Vehicles Energy Consumption 1991  

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

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

133

Vehicle Technologies Office: Fact #584: August 17, 2009 The Price of  

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

4: August 17, 4: August 17, 2009 The Price of Gasoline and Vehicle Travel: How Do They Relate? to someone by E-mail Share Vehicle Technologies Office: Fact #584: August 17, 2009 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Facebook Tweet about Vehicle Technologies Office: Fact #584: August 17, 2009 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Twitter Bookmark Vehicle Technologies Office: Fact #584: August 17, 2009 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Google Bookmark Vehicle Technologies Office: Fact #584: August 17, 2009 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Delicious Rank Vehicle Technologies Office: Fact #584: August 17, 2009 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Digg

134

Vehicle Technologies Office: Fact #425: May 22, 2006 The Price of Gasoline  

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

5: May 22, 2006 5: May 22, 2006 The Price of Gasoline and Vehicle Travel: How Do They Relate? to someone by E-mail Share Vehicle Technologies Office: Fact #425: May 22, 2006 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Facebook Tweet about Vehicle Technologies Office: Fact #425: May 22, 2006 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Twitter Bookmark Vehicle Technologies Office: Fact #425: May 22, 2006 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Google Bookmark Vehicle Technologies Office: Fact #425: May 22, 2006 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Delicious Rank Vehicle Technologies Office: Fact #425: May 22, 2006 The Price of Gasoline and Vehicle Travel: How Do They Relate? on Digg

135

Non-Motorized Travel Study.pub  

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

Motorized Travel Study: Motorized Travel Study: Identifying Factors that Influence Communities to Walk and Bike and to Examine Why, or Why Not, Travelers Walk and Bike in Their Communities Oak Ridge National Laboratory managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract number DE-AC05-00OR22725 Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies Research Brief T he idea of livable communities suggests that people should have the option to utilize non-motorized travel (NMT), specifically walking and bicycling, to conduct their daily tasks. Forecasting personal travel by walk and bike is necessary as part of regional transportation planning, and requires fine

136

California's Zero-Emission Vehicle Mandate: Linking Clean-Fuel Cars, Carsharing and Station Car Strategies  

E-Print Network (OSTI)

battery electric vehicles, ostensibly used to reduce travel, encourage transit, and reduce pollution that inspired California Carsharing History

Shaheen, Susan; Sperling, Dan; Wright, John

2004-01-01T23:59:59.000Z

137

A Study of Adaptive and Optimizing Behavior for Electric Vehicles Based on Interactive Simulation Games and Revealed Behavior of Electric Vehicle Owners  

E-Print Network (OSTI)

1990. and L. Shipper, Electric Vehicles in a BroaderContext:of The Urban Electric Vehicle conference, Stockholm,the Demand Electric Vehicles. In Transportation Research-

Turrentine, Thomas; Lee-Gosselin, Martin; Kurani, Kenneth; Sperling, Daniel

1992-01-01T23:59:59.000Z

138

Addressing Energy Demand through Demand Response: International...  

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

Energy Demand through Demand Response: International Experiences and Practices Title Addressing Energy Demand through Demand Response: International Experiences and Practices...

139

Addressing Energy Demand through Demand Response: International...  

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

Addressing Energy Demand through Demand Response: International Experiences and Practices Title Addressing Energy Demand through Demand Response: International Experiences and...

140

3 MICROSIMULATING AUTOMOBILE MARKETS: 4 EVOLUTION OF VEHICLE HOLDINGS AND VEHICLE-PRICING DYNAMICS  

E-Print Network (OSTI)

. This work combines an auction-style 33 microsimulation of vehicle prices and random-utility vehicles and the infrastructure they use, directly and peripherally. To understand and anticipate 46 travel to vehicle aging. This paper60 makes explicit the role of user preferences in vehicle price fluctuations

Kockelman, Kara M.

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

Information for Travelers  

Science Conference Proceedings (OSTI)

Information for Travelers. Background Notes of Countries and International Organizations; Centers for Disease Control Health Information; ...

2012-09-19T23:59:59.000Z

142

Travel Notes - World Market Update  

Science Conference Proceedings (OSTI)

Travel notes, air travel, rail travel. Travel Notes - World Market Update Biofuels and Bioproducts and Biodiesel Processing Elearning Olive oil Industry Events Industrial Oil Products Abstracts Program Travel Hotel Short Courses Exhibits Regi

143

Vehicle Technologies Office: Fact #259: March 17, 2003 Household...  

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

9: March 17, 2003 Household Travel by Gender to someone by E-mail Share Vehicle Technologies Office: Fact 259: March 17, 2003 Household Travel by Gender on Facebook Tweet about...

144

Modeling and vehicle performance analysis of Earth and lunar hoppers  

E-Print Network (OSTI)

Planetary hoppers-vehicles which travel over the surface as opposed to on it-offer significant advantages over existing rovers. Above all, they are able to travel quickly and can overcome terrain obstacles such as boulders ...

Middleton, Akil J

2010-01-01T23:59:59.000Z

145

Vehicle-Miles Traveled - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Return to: Transportation Channel . NOTE: To view and/or print files in PDF format, Adobe Acrobat Reader is required.

146

Reduce growth rate of light-duty vehicle travel to meet 2050 global climate goals This article has been downloaded from IOPscience. Please scroll down to see the full text article.  

E-Print Network (OSTI)

.iop.org/ERL/6/024018 Abstract Strong policies to constrain increasing global use of light-duty vehicles (cars reductions may be sought in sectors such as electricity generation and light-duty vehicle (LDV

Kammen, Daniel M.

147

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...

148

Highway travel and fuel comsumption from 1970 to 1980  

Science Conference Proceedings (OSTI)

The change in fuel price and availability (1970-80) has had a profound impact on the way and the extent of travel. Within the decade there were two precipitous increases in fuel price among a posture of steadily rising energy costs. In response to these price increases, a number of public policies were enacted. For instance, the 55-mph speed limit was imposed in 1974. At the end of that same year, the Federal Energy Administration and the Energy Policy and Conservation Act (EPCA) were formulated to prescribe certain conservation guidelines for states to follow in formulating their own programs. Specifically, EPCA established a program for the development of plans designed for the promotion of energy conservation and a reduction of the energy demand growth rate. Parallel to the conservation measures are technological improvements in vehicle fuel consumption. EPCA mandated that automobile manufacturers achieve fuel efficiency incrementally through 1985 to reach an average fuel economy of 27.5 mpg. This article reviews the historical impact of these factors from 1970 through 1980. Its objective is to observe the relative significance of each of these energy-saving alternatives on the growth rate of travel and fuel use. This historical perspective is particularly interesting since it presents the before-and-after effects of two ''crises'' occurring during this 10-year period. 1 figure, 10 tables.

Chan, Y.

1985-01-01T23:59:59.000Z

149

National Fuel Cell Electric Vehicle Learning Demonstration Final...  

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

national daily average miles traveled. An effective 40-mile electric range would allow electrification of more than two-thirds of the Learning Demonstration vehicle miles and...

150

A Distributed Framework for Coordinated Heavy-duty Vehicle ...  

E-Print Network (OSTI)

Dec 28, 2013 ... Abstract: Heavy-duty vehicles traveling in a single file with small intervehicle distances experience a reduced aerodynamic drag and therefore ...

151

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

152

Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip  

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

5: March 22, 5: March 22, 2010 Average Vehicle Trip Length to someone by E-mail Share Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Facebook Tweet about Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Twitter Bookmark Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Google Bookmark Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Delicious Rank Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on Digg Find More places to share Vehicle Technologies Office: Fact #615: March 22, 2010 Average Vehicle Trip Length on AddThis.com... Fact #615: March 22, 2010 Average Vehicle Trip Length According to the latest National Household Travel Survey, the average trip

153

Power draw scheduling of electric and plug-in hybrid electric vehicles with unidirectional vehicle-to-grid benefits.  

E-Print Network (OSTI)

??This thesis addresses power scheduling aspects of electric and plug-in hybrid vehicles. The use of electric vehicles (EVs) as demand response resources and the unidirectional… (more)

Fasugba, McDavis A.

2011-01-01T23:59:59.000Z

154

New EPA Fuel Economy and Environment Label - Electric Vehicles  

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

you compare to gasoline vehicles Kilowatt-hours per 100 miles to help you estimate fuel costs Driving Range Driving range is an estimate of the distance the vehicle can travel on...

155

Passenger travel behavior model in railway network simulation  

Science Conference Proceedings (OSTI)

Transportation planners and public transport operators alike have become increasingly aware of the need to diffuse the concentration of the peak period travel. Differentiated pricing is one possible method to even out the demand and reduce peak load ...

Ting Li; Eric van Heck; Peter Vervest; Jasper Voskuilen; Freek Hofker; Fred Jansma

2006-12-01T23:59:59.000Z

156

Near Term Hybrid Passenger Vehicle Development Program. Phase I, Final report. Appendix A: mission analysis and performance specification studies. Volume II. Appendices  

DOE Green Energy (OSTI)

These appendices to the mission analysis report for the Near Term Hybrid Vehicle program contain data on passenger vehicle usage by purpose, trip length, travel speed, vehicle age, vehicle ownership and fuel economy, and US demographics. (LCL)

Traversi, M.; Barbarek, L.A.C.

1979-05-18T23:59:59.000Z

157

Household vehicles energy consumption 1991  

Science Conference Proceedings (OSTI)

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

Not Available

1993-12-09T23:59:59.000Z

158

Foreign Travel Health & Wellness Information | Department of Energy  

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

Wellness Programs » Foreign Travel Health Wellness Programs » Foreign Travel Health & Wellness Information Foreign Travel Health & Wellness Information All travelers should take the following precautions, no matter the destination: Wash hands often with soap and water. Because motor vehicle crashes are a leading cause of injury among travelers, walk and drive defensively; avoid travel at night if possible and always use seat belts. Don't eat or drink dairy products unless you know they have been pasteurized. Never eat undercooked ground beef and poultry, raw eggs, and unpasteurized dairy products; raw shellfish is particularly dangerous to persons who have liver disease or compromised immune systems. Don't eat food purchased from street vendors; do not drink beverages with ice. Don't handle animals, including dogs and cats, to avoid bites and

159

Driving change : evaluating strategies to control automotive energy demand growth in China  

E-Print Network (OSTI)

As the number of vehicles in China has relentlessly grown in the past decade, the energy demand, fuel demand and greenhouse gas emissions associated with these vehicles have kept pace. This thesis presents a model to project ...

Bonde Åkerlind, Ingrid Gudrun

2013-01-01T23:59:59.000Z

160

EIA - Annual Energy Outlook 2009 - Energy Demand  

Gasoline and Diesel Fuel Update (EIA)

demand for renewable fuels increasing the fastestincluding E85 and biodiesel fuels for light-duty vehicles, biomass for co-firing at coal-fired electric power plants, and...

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

Geographically Based Hydrogen Demand & Infrastructure Analysis (Presentation)  

DOE Green Energy (OSTI)

Presentation given at the 2006 DOE Hydrogen, Fuel Cells & Infrastructure Technologies Program Annual Merit Review in Washington, D.C., May 16-19, 2006, discusses potential future hydrogen demand and the infrastructure needed to support hydrogen vehicles.

Melendez, M.

2006-05-18T23:59:59.000Z

162

Household Vehicles Energy Consumption 1991  

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

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

163

Household Vehicles Energy Consumption 1991  

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

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

164

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:

165

TMS Intl Travel Visa  

Science Conference Proceedings (OSTI)

Please note that the Department of Homeland Security is implementing the Electronic System for Travel Authorization, which is expected to be mandatory for

166

Travel Time Estimation Using Floating Car Data  

E-Print Network (OSTI)

This report explores the use of machine learning techniques to accurately predict travel times in city streets and highways using floating car data (location information of user vehicles on a road network). The aim of this report is twofold, first we present a general architecture of solving this problem, then present and evaluate few techniques on real floating car data gathered over a month on a 5 Km highway in New Delhi.

Sevlian, Raffi

2010-01-01T23:59:59.000Z

167

Integration of electric vehicles into distribution networks.  

E-Print Network (OSTI)

??The objectives of this research were to investigate the impact of electric vehicle battery charging on grid demand at a national level and on the… (more)

Papadopoulos, Panagiotis

2012-01-01T23:59:59.000Z

168

All-Terrain Vehicle: Non-Road Electric Vehicle Demonstration  

Science Conference Proceedings (OSTI)

An all-terrain vehicle (ATV) is defined by the American National Standards Institute (ANSI) as one that travels on low-pressure tires, with a seat that is straddled by the operator or the operator and one passenger, along with handlebars for steering control. Most ATVs are gas powered, but replacement of gas-powered ATVs with an electric equivalent could reduce emissions output, fuel consumption, and other petrochemical byproducts resulting from operation of these vehicles. An electric ATV offers all of ...

2010-12-31T23:59:59.000Z

169

Segmenting the mature travel market by motivation  

Science Conference Proceedings (OSTI)

The purpose of this study was to segment mature travellers based on their motivations and to profile the similarities and differences between mature travel market segments according to their sociodemographic and travel-related characteristics. A ... Keywords: USA, United States, cluster analysis, data analysis, educational travellers, factor analysis, mature markets, mature travellers, personal travellers, segmentation, social travellers, sociodemographics, travel market segments, travel motivation

Yawei Wang; Yanli Zhang; John Xia; Zhongxian Wang

2008-11-01T23:59:59.000Z

170

Forecasts of intercity passenger demand and energy use through 2000  

SciTech Connect

The development of national travel demand and energy-use forecasts for automobile and common-carrier intercity travel through the year 2000. The forecasts are driven by the POINTS (Passenger Oriented Intercity Network Travel Simulation) model, a model direct-demand model which accounts for competition among modes and destinations. Developed and used to model SMSA-to-SMSA business and nonbusiness travel, POINTS is an improvement over earlier direct demand models because it includes an explicit representation of cities' relative accessibilities and a utility maximizing behavorial multimodal travel function. Within POINTS, pathbuilding algorithms are used to determine city-pair travel times and costs by mode, including intramodal transfer times. Other input data include projections of SMSA population, public and private sector employment, and hotel and other retail receipts. Outputs include forecasts of SMSA-to-SMSA person trips and person-miles of travel by mode. For the national forecasts, these are expanded to represent all intercity travel (trips greater than 100 miles, one way) for two fuel-price cases. Under both cases rising fuel prices, accompanied by substantial reductions in model-energy intensities, result in moderate growth in total intercity passenger travel. Total intercity passenger travel is predicted to grow at approximately one percent per year, slightly fster than population growth, while air travel grows almost twice as fast as population. The net effect of moderate travel growth and substantial reduction in model energy intensities is a reduction of approximately 50 percent in fuel consumption by the intercity passenger travel market.

Kaplan, M.P.; Vyas, A.D.; Millar, M.; Gur, Y.

1982-01-01T23:59:59.000Z

171

Vehicle Technologies Office: 2011 Archive  

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

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

172

Demand Response  

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

Assessment for Eastern Interconnection Youngsun Baek, Stanton W. Hadley, Rocio Martinez, Gbadebo Oladosu, Alexander M. Smith, Fran Li, Paul Leiby and Russell Lee Prepared for FY12 DOE-CERTS Transmission Reliability R&D Internal Program Review September 20, 2012 2 Managed by UT-Battelle for the U.S. Department of Energy DOE National Laboratory Studies Funded to Support FOA 63 * DOE set aside $20 million from transmission funding for national laboratory studies. * DOE identified four areas of interest: 1. Transmission Reliability 2. Demand Side Issues 3. Water and Energy 4. Other Topics * Argonne, NREL, and ORNL support for EIPC/SSC/EISPC and the EISPC Energy Zone is funded through Area 4. * Area 2 covers LBNL and NREL work in WECC and

173

Household vehicles energy consumption 1994  

SciTech Connect

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

NONE

1997-08-01T23:59:59.000Z

174

The Ethical Challenges and Professional Responses of Travel Demand Forecasters  

E-Print Network (OSTI)

of rail mass transit in developing countries: TRRL researchrail transit in North America. Journal of Planning Education and Researchrail transit in North America. ” Journal of Planning Education and Research

Brinkman, Anthony P.

2003-01-01T23:59:59.000Z

175

Travel Request Form  

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

Lodging Lodging Transportation SNAP COLLABORATION MEETING JUNE 1 - 3, 2006 TRAVEL FUNDING REQUEST FORM If you require Travel funding support from LBNL to attend the SNAP Collaboration Meeting, please fill out the travel request form below and click on the "SEND" button. As an alternative, you can simply email the requested information on the form to snap@lbl.gov Deadline: Please submit your request NLT Wednesday, May 10, 2006. Disclaimer: Please note that the submission of this request does not automatically constitute funding approval. 1. First Name Last Name 2. Has this travel funding support been pre-approved by the SNAP management? Yes No 3. If answer to #2 is "Yes": a) Approval by whom? b) What was the maximum reimbursement amount from SNAP?

176

Interviewee Travel Regulations Scope  

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

3/2012 3/2012 Interviewee Travel Regulations Scope These regulations apply to the reimbursement of round-trip travel expenses incurred by interviewees. These regulations do not apply to applicants who live within a 50-mile radius of Los Alamos based on the Rand McNally Standard Highway Mileage Guide. Reimbursement With the exception of airfare, interviewees will be reimbursed for travel expenses according to Federal travel regulations. For interviewees, airfare reimbursement is limited to the lesser of the standard coach airfare or the actual amount paid. The lowest available airfare should be obtained based on the official business dates and locations. The reimbursement amount will be based on the most direct route available between the interviewee's residence and the laboratory. Costs incurred over the lowest available fare will be the

177

Traveling-wave photodetector  

DOE Patents (OSTI)

The traveling-wave photodetector of the present invention combines an absorptive optical waveguide and an electrical transmission line, in which optical absorption in the waveguide results in a photocurrent at the electrodes of the electrical transmission line. The optical waveguide and electrical transmission line of the electrically distributed traveling-wave photodetector are designed to achieve matched velocities between the light in the optical waveguide and electrical signal generated on the transmission line. This velocity synchronization provides the traveling-wave photodetector with a large electrical bandwidth and a high quantum efficiency, because of the effective extended volume for optical absorption. The traveling-wave photodetector also provides large power dissipation, because of its large physical size. 4 figures.

Hietala, V.M.; Vawter, G.A.

1993-12-14T23:59:59.000Z

178

Traveling-wave photodetector  

DOE Patents (OSTI)

The traveling-wave photodetector of the present invention combines an absorptive optical waveguide and an electrical transmission line, in which optical absorption in the waveguide results in a photocurrent at the electrodes of the electrical transmission line. The optical waveguide and electrical transmission line of the electrically distributed traveling-wave photodetector are designed to achieve matched velocities between the light in the optical waveguide and electrical signal generated on the transmission line. This velocity synchronization provides the traveling-wave photodetector with a large electrical bandwidth and a high quantum efficiency, because of the effective extended volume for optical absorption. The traveling-wave photodetector also provides large power dissipation, because of its large physical size.

Hietala, V.M.; Vawter, G.A.

1992-12-31T23:59:59.000Z

179

Traveling-wave photodetector  

DOE Patents (OSTI)

The traveling-wave photodetector of the present invention combines an absorptive optical waveguide and an electrical transmission line, in which optical absorption in the waveguide results in a photocurrent at the electrodes of the electrical transmission line. The optical waveguide and electrical transmission line of the electrically distributed traveling-wave photodetector are designed to achieve matched velocities between the light in the optical waveguide and electrical signal generated on the transmission line. This velocity synchronization provides the traveling-wave photodetector with a large electrical bandwidth and a high quantum efficiency, because of the effective extended volume for optical absorption. The traveling-wave photodetector also provides large power dissipation, because of its large physical size.

Hietala, Vincent M. (Placitas, NM); Vawter, Gregory A. (Albuquerque, NM)

1993-01-01T23:59:59.000Z

180

Household Vehicles Energy Use: Latest Data and Trends - Table A01  

U.S. Energy Information Administration (EIA)

U.S. Per Household Vehicle-Miles Traveled ... and Alternate Fuels, Form EIA-826, "Monthly Electric Utility Sales and Revenue Report with State Distributions."

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

A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES  

E-Print Network (OSTI)

A MOOS MODULE FOR MONITORING ENERGY USAGE OF AUTONOMOUS VEHICLES Anthony Kanago, Kevin Roos, James--Tracking the energy usage of an autonomous underwater vehicle (AUV) and making accurate data available provides especially effectively in energy-aware systems, allowing inspection vehicles (which typically travel farther

Idaho, University of

182

EVADER: Electric Vehicle Alert for Detection and Emergency Response  

E-Print Network (OSTI)

EVADER: Electric Vehicle Alert for Detection and Emergency Response F. Duboisa , G. Baudeta and J effect of vehicle exterior noise for vulnerable users has recently emerged. Quieter cars could reduce pedestrians' ability to travel safely. One of the objectives of the EVADER (Electric Vehicle Alert

Paris-Sud XI, Université de

183

Hybrid Vehicles: a Temporary Step J.J. CHANARON1  

E-Print Network (OSTI)

to the fuel tax. 3. Incentives for fuel efficiency maintained, but electric vehicles still pay -- Drivers: there are relatively few electric vehicles on the road, and hybrids can be expensive, meaning that not that many people. The current fuel tax system essentially subsidizes travel by highly fuel-efficient vehicles and electric

Paris-Sud XI, Université de

184

Well-to-wheel energy use and greenhouse gas emissions of advanced fuel/vehicle systems North American analysis.  

DOE Green Energy (OSTI)

There are differing, yet strongly held views among the various ''stakeholders'' in the advanced fuel/propulsion system debate. In order for the introduction of advanced technology vehicles and their associated fuels to be successful, it seems clear that four important stakeholders must view their introduction as a ''win'': Society, Automobile manufacturers and their key suppliers, Fuel providers and their key suppliers, and Auto and energy company customers. If all four of these stakeholders, from their own perspectives, are not positive regarding the need for and value of these advanced fuels/vehicles, the vehicle introductions will fail. This study was conducted to help inform public and private decision makers regarding the impact of the introduction of such advanced fuel/propulsion system pathways from a societal point of view. The study estimates two key performance criteria of advanced fuel/propulsion systems on a total system basis, that is, ''well'' (production source of energy) to ''wheel'' (vehicle). These criteria are energy use and greenhouse gas emissions per unit of distance traveled. The study focuses on the U.S. light-duty vehicle market in 2005 and beyond, when it is expected that advanced fuels and propulsion systems could begin to be incorporated in a significant percentage of new vehicles. Given the current consumer demand for light trucks, the benchmark vehicle considered in this study is the Chevrolet Silverado full-size pickup.

Wang, M.

2001-04-18T23:59:59.000Z

185

Modeling and Validation of a Fuel Cell Hybrid Vehicle  

E-Print Network (OSTI)

This paper describes the design and construction of a fuel cell hybrid electric vehicle based on the conversion of a five passenger production sedan. The vehicle uses a relatively small fuel cell stack to provide average power demands, and a battery pack to provide peak power demands for varied driving conditions. A model of this vehicle was developed using ADVISOR, an A__dvanced Vehicle Simulator that tracks energy flow and fuel usage within the vehicle drivetrain and energy conversion components.

Michael J. Ogburn; Douglas J. Nelson; Keith Wipke; Tony Markel

2000-01-01T23:59:59.000Z

186

University of Kansas Travel Handbook  

E-Print Network (OSTI)

...................................................................................................................5 Future Employees Traveling Before Start Date .....................................................................................................................................6 Transportation Expenses.................................................................................................................................6 Reimbursable Transportation

Peterson, Blake R.

187

EMC 2008: Travel  

Science Conference Proceedings (OSTI)

Amtrak Train Terminals are located in Santa Barbara (15 miles from campus) and Goleta (five miles from campus). Vehicle The university is easily accessible ...

188

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...

189

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...

190

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...

191

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...

192

Alternative Fuels Data Center: Diesel Vehicle Availability  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Diesel Vehicle Diesel Vehicle Availability to someone by E-mail Share Alternative Fuels Data Center: Diesel Vehicle Availability on Facebook Tweet about Alternative Fuels Data Center: Diesel Vehicle Availability on Twitter Bookmark Alternative Fuels Data Center: Diesel Vehicle Availability on Google Bookmark Alternative Fuels Data Center: Diesel Vehicle Availability on Delicious Rank Alternative Fuels Data Center: Diesel Vehicle Availability on Digg Find More places to share Alternative Fuels Data Center: Diesel Vehicle Availability on AddThis.com... More in this section... Biodiesel Basics Benefits & Considerations Stations Vehicles Availability Emissions Laws & Incentives Diesel Vehicle Availability According to J.D. Power Automotive Forecasting, demand for light-duty diesel vehicles might double in the next 10 years. More auto manufacturers

193

Chinese Oil Demand: Steep Incline Ahead  

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

Chinese Oil Demand: Chinese Oil Demand: Steep Incline Ahead Malcolm Shealy Alacritas, Inc. April 7, 2008 Oil Demand: China, India, Japan, South Korea 0 2 4 6 8 1995 2000 2005 2010 Million Barrels/Day China South Korea Japan India IEA China Oil Forecast 0 2 4 6 8 10 12 14 16 18 2000 2005 2010 2015 2020 2025 2030 Million Barrels/Day WEO 2007 16.3 mbd 12.7 mbd IEA China Oil Forecasts 0 2 4 6 8 10 12 14 16 18 2000 2005 2010 2015 2020 2025 2030 Million Barrels/Day WEO 2007 WEO 2006 WEO 2004 WEO 2002 Vehicle Sales in China 0 2 4 6 8 10 1990 1995 2000 2005 2010 Million Vehicles/Year Vehicle Registrations in China 0 10 20 30 40 50 1990 1995 2000 2005 2010 Million Vehicles/Year Vehicle Density vs GDP per Capita 0 20 40 60 80 100 120 140 160 180 200 0 4,000 8,000 12,000 16,000 GDP per capita, 2005$ PPP Vehicles per thousand people Taiwan South Korea China Vehicle Density vs GDP per Capita

194

Inhalation of primary motor vehicle emissions: Effects of urbanpopulation and land area  

SciTech Connect

Urban population density can influence transportation demand, as expressed through average daily vehicle-kilometers traveled per capita (VKT). In turn, changes in transportation demand influence total passenger vehicle emissions. Population density can also influence the fraction of total emissions that are inhaled by the exposed urban population. Equations are presented that describe these relationships for an idealized representation of an urban area. Using analytic solutions to these equations, we investigate the effect of three changes in urban population and urban land area (infill, sprawl, and constant-density growth) on per capita inhalation intake of primary pollutants from passenger vehicles. The magnitude of these effects depends on density-emissions elasticity ({var_epsilon}{sub e}), a normalized derivative relating change in population density to change in vehicle emissions. For example, if urban population increases, per capita intake is less with infill development than with constant-density growth if {var_epsilon}{sub e} is less than -0.5, while for {var_epsilon}{sub e} greater than -0.5 the reverse is true.

Marshall, Julian D.; McKone, Thomas E.; Nazaroff, William W.

2004-06-14T23:59:59.000Z

195

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...

196

High Temperatures & Electricity Demand  

E-Print Network (OSTI)

High Temperatures & Electricity Demand An Assessment of Supply Adequacy in California Trends.......................................................................................................1 HIGH TEMPERATURES AND ELECTRICITY DEMAND.....................................................................................................................7 SECTION I: HIGH TEMPERATURES AND ELECTRICITY DEMAND ..........................9 BACKGROUND

197

Household Vehicles Energy Consumption 1991  

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

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

198

Zero Energy Travel  

E-Print Network (OSTI)

It is fundamentally possible to travel with zero energy based on Newton Laws of Motion. According to the first law of motion, a body will continue to travel for infinite distance unless it is acted upon by another force. For a body in motion, the force which stops perpetual motion is friction. However, there are many circumstances that friction is zero, for example in space, where there is vacuum. On earth, gravity makes objects to be in constant contact with each other generating friction but technology exists to separate them in the air using powerful magnetic forces. At low speeds, the friction caused by air is minimal but we can create vacuum even on land for high speed travel. Another condition for travelling is for it to stop at its destination. On land, we can recover the kinetic energy back into electrical energy using brushless permanent magnet generators. These generators can also convert electric energy into kinetic energy in order to provide motion. This article reviews technologies that will allow us to travel with zero energy. It is easier to do it on land but in the air, it is not obvious.

Othman Ahmad; Aroland Kiring; Ali Chekima

2011-09-17T23:59:59.000Z

199

Utilization of LPG for vehicles in Japan  

SciTech Connect

LPG demand for vehicles amounts to 1.8 MM tons annually, equivalent to about 11% of the total LPG consumption in Japan. The feature which dominates the demand of LPG as a vehicle fuel in Japan is the high penetration of LPG powered vehicles into taxi fleets. This has been made possible following the rationalization in the taxi business in the early 1960s. Today, three quarters of LPG vehicles, numbering some 235,000 while representing only about 1% of the total number of vehicles, account for nearly 93% of all taxicabs.

Kusakabe, M.; Makino, M.; Tokunoh, M.

1988-01-01T23:59:59.000Z

200

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis -- A Reflexively Designed Survey of New-Car-Buying Multi-Vehicle California Households  

E-Print Network (OSTI)

and the demand electric vehicles", Transportation ResearchA,Critical Review Electric Vehicle MarketStudies", ReleasableR. (1993) Report of the Electric Vehicle at-HomeRefi~ehng

Turrentine, Thomas; Kurani, Kenneth S.

2001-01-01T23:59:59.000Z

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

Econometric analysis of the demand for gasoline at the state level  

SciTech Connect

An investigation into factors influencing levels of highway gasoline use per household and per vehicle at the state level shows use per vehicle ranged from 588.7 gal in Pennsylvania to 900.0 gal in Arkansas in 1975. Household use in the same year was lowest in New York (864.5 gal) and highest in Wyoming (2222.0 gal). Determinants of the demand for highway gasoline were identified based on economic theory of the demand for travel. Exploratory theoretical analyses led to the conclusion that important state-specific influences were not being adequately accounted for by the available time series (1966 to 1975) of cross-sectional (state) variables. These state effects appeared to be strongly correlated with income. Two time-series cross-sectional (TSCS) regression techniques were employed, producing reasonable and consistent models. Elasticity estimates were slightly higher than estimates using earlier data. In order to analyze the determinants of differences in state gasoline use rates, a two-phase modeling approach was used which first estimates a demand equation utilizing key socio-economic variables. The TSCS technique used to estimate the equation produces quantitative estimates of state-specific deviations from predicted consumption levels. In the second stage these state-specific effects are regressed against a set of explanatory variables describing such state characteristics as spatial structure, climate, and employment in agriculture. State household gasoline-use rates were found to be negatively related to population density, percent of population living in metropolitan areas, agricultural employment, severe winter weather, and small car share of the vehicle fleet. They were positively related to the percentage of the population of working age and to the level of tourist activity. A companion report (ORNL-5391, ''An Investigation of the Variability of Gasoline Consumption among States,'' D. L. Greene) summarizes the major findings of this study.

Greene, D.L.

1978-07-01T23:59:59.000Z

202

DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas  

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

WIPP Representative for Cutting Travel Costs, Greenhouse WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions DOE Honors WIPP Representative for Cutting Travel Costs, Greenhouse Gas Emissions June 1, 2012 - 12:00pm Addthis Secretary Chu presents the Secretary of Energy's Appreciation Award to Judy A. McLemore. Secretary Chu presents the Secretary of Energy's Appreciation Award to Judy A. McLemore. WASHINGTON, D.C. - A representative of the Waste Isolation Pilot Plant (WIPP) near Carlsbad, N.M., on Tuesday received the Secretary of Energy's Appreciation Award for her efforts to improve sustainability and reduce travel costs and the number of fleet vehicles. Judy A. McLemore, who works for URS Regulatory and Environmental Services, based in Carlsbad, was honored for helping advance DOE's management and

203

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.

204

A hybrid GA-TS algorithm for open vehicle routing optimization of coal mines material  

Science Conference Proceedings (OSTI)

In the open vehicle routing problem (OVRP), the objective is to minimize the number of vehicles and the total distance (or time) traveled. This study primarily focuses on solving an open vehicle routing problem (OVRP) by applying a novel hybrid genetic ... Keywords: Coal mine material, Genetic algorithms, Hybrid, Open vehicle routing problem, Optimize, Tabu search

Shiwei Yu; Chang Ding; Kejun Zhu

2011-08-01T23:59:59.000Z

205

Vehicle Technologies Office: Fact #390: September 19, 2005 Stretch...  

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

7% 125-199 miles 6% 200+ miles 6% Mode Personal vehicle 96% Air travel 1% Other 3% Gender Male 84% Female 16% Household income Less than 25,000 13% 25,000 - 49,000 29% More...

206

Figure ES2. Annual Indices of Real Disposable Income, Vehicle...  

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

ES2 Figure ES2. Annual Indices of Real Disposable Income, Vehicle-Miles Traveled, Consumer Price Index (CPI-U), and Real Average Retail Gasoline Price, 1978-2004, 1985100...

207

Vehicle Technologies Office: Fact #509: March 10, 2008 With Rising...  

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

9: March 10, 2008 With Rising Gas Prices, Consumers Indicate only a Limited Willingness to Change Travel Behavior to someone by E-mail Share Vehicle Technologies Office: Fact 509:...

208

2005 PTM Travel Information - TMS  

Science Conference Proceedings (OSTI)

TRAVEL INFORMATION · SOCIAL EVENTS & TOURS · VISA INFORMATION ... Wind: SSW at 7 mph. Airport Delays · Beach Conditions · Pollen Reports ...

209

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

210

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...

211

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...

212

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...

213

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...

214

“Smart” Frequency-Sensing Charge Controller for Electric Vehicles  

As plug-in hybrid electric vehicles (PHEVs) and battery electric vehicles (BEVs) become more popular, they create additional demand for electricity. Their emergence also raises a host of issues regarding how, where and when car batteries should be ...

215

Southern Company Electric Vehicle Survey: Consumer Expectations for Electric Vehicles  

Science Conference Proceedings (OSTI)

Plug-in Electric Vehicles (PEV) are becoming increasingly available in the U.S. Two manufacturers (GM and Nissan) offer vehicles that are being advertised and promoted, heavily in some areas. The PEV is advancing rapidly from a concept or hypothetical travel mode to a viable option for new car buyers. The result is that consumers will take over the driver’s seat when it comes to adoption of PEVs and how they are used. For that reason, EPRI has initiated research into how consumers perceive PEVs as an alt...

2011-10-10T23:59:59.000Z

216

TVA Electric Vehicle Survey: Consumer Expectations for Electric Vehicles  

Science Conference Proceedings (OSTI)

Plug-in Electric Vehicles (PEV) are becoming increasingly available in the U.S. Two manufacturers (GM and Nissan) offer vehicles that are being advertised and promoted, heavily in some areas. The PEV is advancing rapidly from a concept or hypothetical travel mode to a viable option for new car buyers. The result is that consumers will take over the driver’s seat when it comes to adoption of PEVs and how they are used. For that reason, EPRI has initiated research into how consumers perceive PEVs as an alt...

2011-10-10T23:59:59.000Z

217

All-Terrain Vehicle: Non-Road Electric Vehicle Demonstration  

Science Conference Proceedings (OSTI)

An all-terrain vehicle (ATV) is defined by the American National Standards Institute (ANSI) as one that travels on low-pressure tires, with a seat that is straddled by the operator or the operator and one passenger, along with handlebars for steering control. As the name implies, it is designed to handle a wider variety of terrain than most other vehicles. The gasoline-fueled four-wheel drive option is now the most popular type of ATV, with expanding uses in industries such as farming, ranching, and cons...

2009-12-21T23:59:59.000Z

218

Hybrid vehicle potential assessment. Volume 2. Mission analysis  

SciTech Connect

Seven vehicle missions were selected and defined for use in assessing hybrid vehicle concepts and are summarized. These missions were selected to provide general coverage of current and future vehicle uses and classes. Their travel pattern definitions are based primarily on analysis of the 1969 National Personal Transportation Study travel data. Performance requirements are based on current highway designs and speed limits and the results of studies of performance requirements for safe and non-interfering operation in today's traffic environment. The mission definitions are independent of vehicle technology so even though they were selected and defined for use in assessing hybrid vehicles, they could also be used in assessing the potential of other vehicle technologies such as electric vehicles, turbo-charging, Stirling engines, etc.

Surber, F.T.; Deshpande, G.K.

1979-09-30T23:59:59.000Z

219

The lithium-ion battery industry for electric vehicles.  

E-Print Network (OSTI)

??Electric vehicles have reemerged as a viable alternative means of transportation, driven by energy security concerns, pressures to mitigate climate change, and soaring energy demand.… (more)

Kassatly, Sherif (Sherif Nabil)

2010-01-01T23:59:59.000Z

220

Energy Demand | Open Energy Information  

Open Energy Info (EERE)

Energy Demand Energy Demand Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data Figure 55 From AEO2011 report . Market Trends Growth in energy use is linked to population growth through increases in housing, commercial floorspace, transportation, and goods and services. These changes affect not only the level of energy use, but also the mix of fuels used. Energy consumption per capita declined from 337 million Btu in 2007 to 308 million Btu in 2009, the lowest level since 1967. In the AEO2011 Reference case, energy use per capita increases slightly through 2013, as the economy recovers from the 2008-2009 economic downturn. After 2013, energy use per capita declines by 0.3 percent per year on average, to 293 million Btu in 2035, as higher efficiency standards for vehicles and

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

Advanced Demand Responsive Lighting  

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

Demand Demand Responsive Lighting Host: Francis Rubinstein Demand Response Research Center Technical Advisory Group Meeting August 31, 2007 10:30 AM - Noon Meeting Agenda * Introductions (10 minutes) * Main Presentation (~ 1 hour) * Questions, comments from panel (15 minutes) Project History * Lighting Scoping Study (completed January 2007) - Identified potential for energy and demand savings using demand responsive lighting systems - Importance of dimming - New wireless controls technologies * Advanced Demand Responsive Lighting (commenced March 2007) Objectives * Provide up-to-date information on the reliability, predictability of dimmable lighting as a demand resource under realistic operating load conditions * Identify potential negative impacts of DR lighting on lighting quality Potential of Demand Responsive Lighting Control

222

Transportation Demand This  

Annual Energy Outlook 2012 (EIA)

69 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Transportation Demand Module The NEMS Transportation Demand Module estimates...

223

Demand Response Spinning Reserve  

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

Demand Response Spinning Reserve Title Demand Response Spinning Reserve Publication Type Report Year of Publication 2007 Authors Eto, Joseph H., Janine Nelson-Hoffman, Carlos...

224

Addressing Energy Demand  

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

Addressing Energy Demand through Demand Response: International Experiences and Practices Bo Shen, Girish Ghatikar, Chun Chun Ni, and Junqiao Dudley Environmental Energy...

225

Propane Sector Demand Shares  

U.S. Energy Information Administration (EIA)

... agricultural demand does not impact regional propane markets except when unusually high and late demand for propane for crop drying combines with early cold ...

226

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.

227

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.

228

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...

229

Geographically Based Hydrogen Consumer Demand and Infrastructure Analysis: Final Report  

DOE Green Energy (OSTI)

In FY 2004 and 2005, NREL developed a proposed minimal infrastructure to support nationwide deployment of hydrogen vehicles by offering infrastructure scenarios that facilitated interstate travel. This report identifies key metropolitan areas and regions on which to focus infrastructure efforts during the early hydrogen transition.

Melendez, M.; Milbrandt, A.

2006-10-01T23:59:59.000Z

230

DOE Hydrogen Analysis Repository: Hydrogen Demand and Infrastructure  

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

Hydrogen Demand and Infrastructure Deployment Hydrogen Demand and Infrastructure Deployment Project Summary Full Title: Geographically-Based Hydrogen Demand and Infrastructure Deployment Scenario Analysis Project ID: 189 Principal Investigator: Margo Melendez Keywords: Hydrogen fueling; infrastructure; fuel cell vehicles (FCV) Purpose This analysis estimates the spatial distribution of hydrogen fueling stations necessary to support the 5 million fuel cell vehicle scenario, based on demographic demand patterns for hydrogen fuel cell vehicles and strategy of focusing development on specific regions of the U.S. that may have high hydrogen demand. Performer Principal Investigator: Margo Melendez Organization: National Renewable Energy Laboratory (NREL) Address: 1617 Cole Blvd. Golden, CO 80401-3393 Telephone: 303-275-4479

231

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

232

Demand Response and Open Automated Demand Response Opportunities...  

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

Demand Response and Open Automated Demand Response Opportunities for Data Centers Title Demand Response and Open Automated Demand Response Opportunities for Data Centers...

233

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

of integrating demand response and energy efficiencyand D. Kathan (2009), Demand Response in U.S. ElectricityFRAMEWORKS THAT PROMOTE DEMAND RESPONSE 3.1. Demand Response

Shen, Bo

2013-01-01T23:59:59.000Z

234

Secretary Chu Travels to Memphis | Department of Energy  

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

Travels to Memphis Travels to Memphis Secretary Chu Travels to Memphis January 31, 2011 - 2:33pm Addthis Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs What does this project do? The Sharp solar manufacturing plant has produced more than 2 million solar panels since 2002, increased its staff from 300 to 480 employees over the last year, and produces enough solar paneling to power more than 140,000 homes. Worldwide, FedEx Express is operating 329 hybrid and 19 all-electric vehicles, reducing fuel use by almost 300,000 gallons and carbon dioxide emissions by approximately 3,000 metric tons. Hero_CHU_Sharp Secretary Steven Chu with Sharp executive T.C. Jones, standing in front of some of Sharp's solar panels. Following the State of the Union on Tuesday and his online town hall on

235

Demand Trading: Building Liquidity  

Science Conference Proceedings (OSTI)

Demand trading holds substantial promise as a mechanism for efficiently integrating demand-response resources into regional power markets. However, regulatory uncertainty, the lack of proper price signals, limited progress toward standardization, problems in supply-side markets, and other factors have produced illiquidity in demand-trading markets and stalled the expansion of demand-response resources. This report shows how key obstacles to demand trading can be overcome, including how to remove the unce...

2002-11-27T23:59:59.000Z

236

PRICM 8: Housing and Travel  

Science Conference Proceedings (OSTI)

Please note that the Department of Homeland Security is implementing the Electronic System for Travel Authorization, which is expected to be mandatory for

237

1999 EMC: Travel Information - TMS  

Science Conference Proceedings (OSTI)

Jul 2, 1999 ... Travel by Train: Amtrak provides daily service from San Francisco and Los Angeles. The station is located in downtown Santa Barbara.

238

d. volunteer leader travel policy  

Science Conference Proceedings (OSTI)

the name of the event, who is attending, and a projected cost for budgetary purposes. The proposed volunteer leader travel budget will be approved by the ...

239

Travel and Entertainment All Airlines  

E-Print Network (OSTI)

, Flying Fields Travel Agencies and Tour Operators Bridge and Road Fees, Tolls Services (Utilities) Wire Institutions Securities Brokers /Dealers Insurance Sales, Underwriting and Premiums Lodging Hotels, Motels

Castillo, Steven P.

240

Alternative Fuels Data Center: Electric Vehicle (EV) Fee  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Fee to someone by E-mail Fee to someone by E-mail Share Alternative Fuels Data Center: Electric Vehicle (EV) Fee on Facebook Tweet about Alternative Fuels Data Center: Electric Vehicle (EV) Fee on Twitter Bookmark Alternative Fuels Data Center: Electric Vehicle (EV) Fee on Google Bookmark Alternative Fuels Data Center: Electric Vehicle (EV) Fee on Delicious Rank Alternative Fuels Data Center: Electric Vehicle (EV) Fee on Digg Find More places to share Alternative Fuels Data Center: Electric Vehicle (EV) Fee on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Electric Vehicle (EV) Fee EV operators must pay an annual vehicle registration renewal fee of $100. This fee expires if the legislature imposes a vehicle miles traveled fee or

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

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.

242

The Vehicle Platooning Problem: Computational Complexity and  

E-Print Network (OSTI)

Aug 22, 2013 ... In this paper we attempt to maximize the amount of fuel saved by vehicles on a road ..... and each node rn represents an element in A. The white node ...... in the real world, HDVs travelling on the same path will likely take ad-.

243

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

244

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...

245

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...

246

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...

247

EIA - Annual Energy Outlook 2008 - Energy Demand  

Gasoline and Diesel Fuel Update (EIA)

Energy Demand Energy Demand Annual Energy Outlook 2008 with Projections to 2030 Energy Demand Figure 40. Energy use per capita and per dollar of gross domestic product, 1980-2030 (index, 1980 = 1). Need help, contact the National Energy Information Center at 202-586-8800. figure data Figure 41. Primary energy use by fuel, 2006-2030 (quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. figure data Average Energy Use per Person Levels Off Through 2030 Because energy use for housing, services, and travel in the United States is closely linked to population levels, energy use per capita is relatively stable (Figure 40). In addition, the economy is becoming less dependent on energy in general. Energy intensity (energy use per 2000 dollar of GDP) declines by an average

248

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...

249

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,...

250

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...

251

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...

252

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)...

253

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...

254

A methodology for determining the relationship between air transportation demand and the level of service  

E-Print Network (OSTI)

Introduction: Within the last ten years significant advances in the state-of-the art in air travel demand analysis stimulated researchers in the domestic air transportation field. Among these advances, researchers in ...

Eriksen, Steven Edward

1976-01-01T23:59:59.000Z

255

Design, Control and Evaluation of a Prototype Three Phase Inverter in a BLDC Drive System for an Ultra-Light Electric Vehicle.  

E-Print Network (OSTI)

??With an evolving vehicle industry there has been an increase in the demand for light electric vehicles. This thesis was conducted in order to gain… (more)

Larsson, Philip

2013-01-01T23:59:59.000Z

256

Mass Market Demand Response  

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

Mass Market Demand Response Mass Market Demand Response Speaker(s): Karen Herter Date: July 24, 2002 - 12:00pm Location: Bldg. 90 Demand response programs are often quickly and poorly crafted in reaction to an energy crisis and disappear once the crisis subsides, ensuring that the electricity system will be unprepared when the next crisis hits. In this paper, we propose to eliminate the event-driven nature of demand response programs by considering demand responsiveness a component of the utility obligation to serve. As such, demand response can be required as a condition of service, and the offering of demand response rates becomes a requirement of utilities as an element of customer service. Using this foundation, we explore the costs and benefits of a smart thermostat-based demand response system capable of two types of programs: (1) a mandatory,

257

Demand Impacted by Weather  

U.S. Energy Information Administration (EIA)

When you look at demand, it’s also interesting to note the weather. The weather has a big impact on the demand of heating fuels, if it’s cold, consumers will use ...

258

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.

259

Demand Trading Toolkit  

Science Conference Proceedings (OSTI)

Download report 1006017 for FREE. The global movement toward competitive markets is paving the way for a variety of market mechanisms that promise to increase market efficiency and expand customer choice options. Demand trading offers customers, energy service providers, and other participants in power markets the opportunity to buy and sell demand-response resources, just as they now buy and sell blocks of power. EPRI's Demand Trading Toolkit (DTT) describes the principles and practice of demand trading...

2001-12-10T23:59:59.000Z

260

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...

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

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...

262

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...

263

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...

264

PMP-III 2008: Travel - TMS  

Science Conference Proceedings (OSTI)

PMP-III: Travel. For Thailand and Bangkok travel information, visit the Tourism Authority of Thailand. AIRORT TRANSPORTATION. Public metered taxi is the ...

265

TAKING A TRIP? Travel Management Contracts  

E-Print Network (OSTI)

to airline/rail reservations, hotel lodging, airport transportation, and car rentals. #12;TRAVEL MGMT, car rentals, incidentals. Improper usage examples include movies, utility bills, alcohol. Non travel

Zobin, Nahum

266

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

267

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

268

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...

269

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...

270

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...

271

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...

272

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...

273

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...

274

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...

275

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...

276

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:...

277

The Consistent Vehicle Routing Problem  

SciTech Connect

In the small package shipping industry (as in other industries), companies try to differentiate themselves by providing high levels of customer service. This can be accomplished in several ways, including online tracking of packages, ensuring on-time delivery, and offering residential pickups. Some companies want their drivers to develop relationships with customers on a route and have the same drivers visit the same customers at roughly the same time on each day that the customers need service. These service requirements, together with traditional constraints on vehicle capacity and route length, define a variant of the classical capacitated vehicle routing problem, which we call the consistent VRP (ConVRP). In this paper, we formulate the problem as a mixed-integer program and develop an algorithm to solve the ConVRP that is based on the record-to-record travel algorithm. We compare the performance of our algorithm to the optimal mixed-integer program solutions for a set of small problems and then apply our algorithm to five simulated data sets with 1,000 customers and a real-world data set with more than 3,700 customers. We provide a technique for generating ConVRP benchmark problems from vehicle routing problem instances given in the literature and provide our solutions to these instances. The solutions produced by our algorithm on all problems do a very good job of meeting customer service objectives with routes that have a low total travel time.

Groer, Christopher S [ORNL; Golden, Bruce [University of Maryland; Edward, Wasil [American University

2009-01-01T23:59:59.000Z

278

Plug-In Electric Vehicle Fast Charge Station Operational Analysis with Integrated Renewables: Preprint  

SciTech Connect

The growing, though still nascent, plug-in electric vehicle (PEV) market currently operates primarily via level 1 and level 2 charging in the United States. Fast chargers are still a rarity, but offer a confidence boost to oppose 'range anxiety' in consumers making the transition from conventional vehicles to PEVs. Because relatively no real-world usage of fast chargers at scale exists yet, the National Renewable Energy Laboratory developed a simulation to help assess fast charging needs based on real-world travel data. This study documents the data, methods, and results of the simulation run for multiple scenarios, varying fleet sizes, and the number of charger ports. The grid impact of this usage is further quantified to assess the opportunity for integration of renewables; specifically, a high frequency of fast charging is found to be in demand during the late afternoons and evenings coinciding with grid peak periods. Proper integration of a solar array and stationary battery thus helps ease the load and reduces the need for new generator construction to meet the demand of a future PEV market.

Simpson, M.; Markel, T.

2012-08-01T23:59:59.000Z

279

Vehicle-Grid Interface Key to Smart Charging Plug-in Vehicles  

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

electrification is an important electrification is an important element in the nation's plan to transition from petroleum to electricity as the main energy source for urban/ suburban transportation - to enhance energy security, reduce environmental impact and maintain mobility in a carbon- constrained future. Well over half of America's passenger cars travel between 20 and 40 miles daily - a range that electric vehicles (EVs)

280

Novolyte Charging Up Electric Vehicle Sector | Department of Energy  

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

Novolyte Charging Up Electric Vehicle Sector Novolyte Charging Up Electric Vehicle Sector Novolyte Charging Up Electric Vehicle Sector August 11, 2010 - 10:15am Addthis Electric vehicles are powered by electricity that comes in the form of electrically charged molecules known as ions. Those ions need a substance to transport them throughout the system as they travel from the anode to the cathode and back again. That substance is an electrolyte. | Staff Photo Illustration Electric vehicles are powered by electricity that comes in the form of electrically charged molecules known as ions. Those ions need a substance to transport them throughout the system as they travel from the anode to the cathode and back again. That substance is an electrolyte. | Staff Photo Illustration Joshua DeLung What does this mean for me?

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

Demand Response and Open Automated Demand Response Opportunities...  

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

Response and Open Automated Demand Response Opportunities for Data Centers Title Demand Response and Open Automated Demand Response Opportunities for Data Centers Publication Type...

282

A Quantum Mechanical Travelling Salesman  

E-Print Network (OSTI)

A quantum simulation of a travelling salesman is described. A vector space for a graph is defined together with a sequence of operators which transform a special initial state into a superposition states representing Hamiltonian tours. The quantum amplitude for any tour is a function of the classical cost of travelling along the edges in that tour. Tours with the largest quantum amplitude may be different than those with the smallest classically-computed cost.

Ravindra N. Rao

2011-08-23T23:59:59.000Z

283

Electrical Demand Management  

E-Print Network (OSTI)

The Demand Management Plan set forth in this paper has proven to be a viable action to reduce a 3 million per year electric bill at the Columbus Works location of Western Electric. Measures are outlined which have reduced the peak demand 5% below the previous year's level and yielded $150,000 annual savings. These measures include rescheduling of selected operations and demand limiting techniques such as fuel switching to alternate power sources during periods of high peak demand. For example, by rescheduling the startup of five heat treat annealing ovens to second shift, 950 kW of load was shifted off peak. Also, retired, non-productive steam turbine chillers and a diesel air compressor have been effectively operated to displaced 1330 kW during peak periods each day. Installed metering devices have enabled the recognition of critical demand periods. The paper concludes with a brief look at future plans and long range objectives of the Demand Management Plan.

Fetters, J. L.; Teets, S. J.

1983-01-01T23:59:59.000Z

284

Analysis of the AirTouch automatic vehicle location system's ability to locate moving vehicles  

E-Print Network (OSTI)

Automatic vehicle location systems are becoming more prevalent in diverse transportation applications. Their ability to locate vehicles can assist in locating emergency and public transit vehicles for better real-time dispatching as well as recovering stolen vehicles. Because many applications require traveling vehicles, this thesis focused on the AirTouch system's ability to accurately locate a moving vehicle. Recent AirTouch vehicle location system reports were compiled and analyzed to distinguish what factors tend to affect the accuracy of the readings. Based on the results of the reports, two sites were selected to minimize the external effects that could create inaccurate readings. Six speeds were selected ranging from 0 to 80 kmph (O to 50 mph) in 16 kmph (10 mph) increments. Each velocity was tested 20 times at each site. The location readings were compared to differential Global Positioning System (dGPS) readings which currently provide the most accurate location readings available for civilian use. The dGPS readings were also collected at each test site. It was discovered that one site produced more accurate readings compared to the other site. In addition, the longitude differences accounted for most of the error in the readings. Finally, more error was prevalent in the readings associated with the vehicle's direction of travel as opposed to readings perpendicular to the direction of travel. Based on the data analysis, it was impossible to conclude if velocity affected the accuracy of the AirTouch system. The results of this thesis have suggested that the AirTouch system does decrease in accuracy as the velocity increases among traveling vehicles. However, in one case, the accuracy of the stationary readings were less accurate compared to the non-stationary readings. At 80 kmph (50 mph), AirTouch had an approximate inaccuracy of 50 meters (164 feet). When the data was adjusted for human error, this approximate inaccuracy decreased to 33 meters (107 feet). For transit services, these averages are appropriate. When dispatching a transit vehicle, two-way communication between dispatcher and driver can verify the vehicle's exact location. Furthermore, when a customer needs to know where a vehicle is and when it should arrive, 33 to 50 meters (107 to 164 feet) is sufficient for the customers' needs.

Henry, Tracy Lynn

1995-01-01T23:59:59.000Z

285

Demand Dispatch-Intelligent  

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

and energy efficiency throughout the value chain resulting in the most economical price for electricity. Having adequate quantities and capacities of demand resources is a...

286

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

xxxv Option Value of Electricity Demand Response, Osmanelasticity in aggregate electricity demand. With these newii) reduction in electricity demand during peak periods (

Heffner, Grayson

2010-01-01T23:59:59.000Z

287

U.S. Propane Demand  

U.S. Energy Information Administration (EIA)

Demand is higher in 1999 due to higher petrochemical demand and a strong economy. We are also seeing strong demand in the first quarter of 2000; however, ...

288

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

Fully-Automated Demand Response Test in Large Facilities14in DR systems. Demand Response using HVAC in Commercialof Fully Automated Demand Response in Large Facilities”

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-01-01T23:59:59.000Z

289

Demand Response Spinning Reserve Demonstration  

E-Print Network (OSTI)

F) Enhanced ACP Date RAA ACP Demand Response – SpinningReserve Demonstration Demand Response – Spinning Reservesupply spinning reserve. Demand Response – Spinning Reserve

2007-01-01T23:59:59.000Z

290

NREL Reveals Links Among Climate Control, Battery Life, and Electric Vehicle Range (Fact Sheet)  

DOE Green Energy (OSTI)

Researchers at the National Renewable Energy Laboratory (NREL) are providing new insights into the relationships between the climate-control systems of plug-in electric vehicles and the distances these vehicles can travel on a single charge. In particular, NREL research has determined that 'preconditioning' a vehicle-achieving a comfortable cabin temperature and preheating or precooling the battery while the vehicle is still plugged in-can extend its driving range and improve battery life over the long term.

Not Available

2012-06-01T23:59:59.000Z

291

ON-ROAD REMOTE SENSING OF VEHICLE EMISSIONS IN MONTERREY, N.L. MEXICO  

E-Print Network (OSTI)

ON-ROAD REMOTE SENSING OF VEHICLE EMISSIONS IN MONTERREY, N.L. MEXICO Final Report Prepared for the University of Denver traveled to Monterrey, N.L. Mexico to monitor remotely the carbon monoxide (CO

Denver, University of

292

he electrification of passenger vehicles has the potential to address three of the most critical  

E-Print Network (OSTI)

exist for helping to achieve these goals. Hybrid electric vehicles (HEVs), such as the Toyota Prius. Larger PHEV batteries enable longer electric travel between charges. The PHEV version of the Prius has

McGaughey, Alan

293

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

294

Who owns leaded fuel vehicles: impact of the phasedown  

DOE Green Energy (OSTI)

The US Environmental Protection Agency has promulgated regulations lowering the allowable level of lead in gasoline from 1.1 g/gal to 0.1 g/gal on January 1, 1986. Impacts of this action on minority groups were assessed in this study, focusing on household ownership of leaded-fuel vehicles, and on the number of small children residing in the households. The number of vehicles requiring leaded gasoline is declining rapidly, from 67.4 million in 1981 to 28.1 million in 1986, and 18.6 million in 1988. The share of vehicle-miles traveled by these vehicles will fall from 40% in 1981 to less than 10% in 1988. Leaded-gasoline vehicles are held by all types of households; the ownership pattern for these older vehicles is very similar to the pattern for all vehicles owned by households grouped by race of householder or region.

LaBelle, S.

1985-04-01T23:59:59.000Z

295

CONSULTANT REPORT DEMAND FORECAST EXPERT  

E-Print Network (OSTI)

CONSULTANT REPORT DEMAND FORECAST EXPERT PANEL INITIAL forecast, end-use demand modeling, econometric modeling, hybrid demand modeling, energyMahon, Carl Linvill 2012. Demand Forecast Expert Panel Initial Assessment. California Energy

296

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

297

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...

298

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...

299

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:

300

Identifying Challenges for Sustained Adoption of Alternative Fuel Vehicles and Infrastructure  

E-Print Network (OSTI)

This paper develops a dynamic, behavioral model with an explicit spatial structure to explore the co-evolutionary dynamics between infrastructure supply and vehicle demand. Vehicles and fueling infrastructure are ...

Struben, Jeroen J.R.,

2007-04-27T23:59:59.000Z

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

Development of a proof-of-concept hybrid electric fuel cell vehicle  

Science Conference Proceedings (OSTI)

The demand for fuel-efficient vehicles is on the rise due to the rising costs of gasoline and increasing environmental concerns. Zero tailpipe emission vehicles that run on electricity or hydrogen lack infrastructure to have a significant impact

Peter Strahs; Jordan Weaver; Luis Breziner; Christophe Garant; Keith Shaffer; Georgiy Diloyan; Parsaoran Hutapea

2012-01-01T23:59:59.000Z

302

Vehicle Battery Basics | Department of Energy  

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

Vehicle Battery Basics Vehicle Battery Basics Vehicle Battery Basics November 22, 2013 - 1:58pm Addthis Batteries are essential for electric drive technologies such as hybrid electric vehicles (HEVs), plug-in hybrid electric vehicles (PHEVs), and all-electric vehicles (AEVs). What is a Battery? A battery is a device that stores chemical energy and converts it on demand into electrical energy. It carries out this process through an electrochemical reaction, which is a chemical reaction involving the transfer of electrons. Batteries have three main parts, each of which plays a different role in the electrochemical reaction: the anode, cathode, and electrolyte. The anode is the "fuel" electrode (or "negative" part), which gives up electrons to the external circuit to create a flow of electrons, otherwise

303

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

304

Automated Demand Response and Commissioning  

E-Print Network (OSTI)

internal conditions. Maximum Demand Saving Intensity [W/ft2]automated electric demand sheds. The maximum electric shed

Piette, Mary Ann; Watson, David S.; Motegi, Naoya; Bourassa, Norman

2005-01-01T23:59:59.000Z

305

Vehicle Technologies Office: Batteries  

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

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

306

Improving Grid Performance with Electric Vehicle Charging 2011San Diego Gas & Electric Company. All copyright and trademark rights reserved.  

E-Print Network (OSTI)

demand of 40 all-electric Advanced Energy PEV Usage Study vehicles as maximum kW demand at each 15 minute to a hairdryer) per PEV in the population · Instantaneous demand, 40 all-electric vehicles for one day (8 hour. 48 kW / 40 vehicles = 1.2 kW per EV in the population, at highest- load moment #12;Demand, Net

California at Davis, University of

307

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...

308

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...

309

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial. Since most of commercial energy consumption occurs in buildings, the commercial module relies on the data from the EIA

310

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing industries. The manufacturing industries are further subdivided 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, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Demand Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Demand Module calculates energy consumption for the four Census Regions (see Figure 5) and disaggregates the energy consumption

311

demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

312

Demand Response Database & Demo  

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

Demand Response Database & Demo Speaker(s): Mike Graveley William M. Smith Date: June 7, 2005 - 12:00pm Location: Bldg. 90 Seminar HostPoint of Contact: Mary Ann Piette Infotility...

313

Tankless Demand Water Heaters  

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

Demand (tankless or instantaneous) water heaters have heating devices that are activated by the flow of water, so they provide hot water only as needed and without the use of a storage tank. They...

314

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2012-12-19T23:59:59.000Z

315

Industrial Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

Kelly Perl

2013-05-14T23:59:59.000Z

316

Industrial Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Module. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.

Kelly Perl

2013-09-30T23:59:59.000Z

317

Residential Sector Demand Module  

Reports and Publications (EIA)

Model Documentation - Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code.

Owen Comstock

2013-11-05T23:59:59.000Z

318

Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low-Speed Vehicle Low-Speed Vehicle Access to Roadways to someone by E-mail Share Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Facebook Tweet about Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Twitter Bookmark Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Google Bookmark Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Delicious Rank Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Digg Find More places to share Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low-Speed Vehicle Access to Roadways Low-speed vehicles may only travel on roadways with a posted speed limit of

319

Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low-Speed Vehicle Low-Speed Vehicle Access to Roadways to someone by E-mail Share Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Facebook Tweet about Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Twitter Bookmark Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Google Bookmark Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Delicious Rank Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on Digg Find More places to share Alternative Fuels Data Center: Low-Speed Vehicle Access to Roadways on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low-Speed Vehicle Access to Roadways Low-speed vehicles may only travel on roadways with a posted speed limit of

320

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...

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


321

Vehicle Technologies Office: 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...

322

Automated Demand Response Tests  

Science Conference Proceedings (OSTI)

This report includes assessments and test results of four end-use technologies, representing products in the residential, commercial, and industrial sectors, each configured to automatically receive real-time pricing information and critical peak pricing (CPP) demand response (DR) event notifications. Four different vendors were asked to follow the interface requirements set forth in the Open Automated Demand Response (OpenADR) standard that was introduced to the public in 2008 and currently used in two ...

2008-12-22T23:59:59.000Z

323

Automated Demand Response Tests  

Science Conference Proceedings (OSTI)

This report, which is an update to EPRI Report 1016082, includes assessments and test results of four end-use vendor technologies. These technologies represent products in the residential, commercial, and industrial sectors, each configured to automatically receive real-time pricing information and critical peak pricing (CPP) demand response (DR) event notifications. Four different vendors were asked to follow the interface requirements set forth in the Open Automated Demand Response (OpenADR) Communicat...

2009-03-30T23:59:59.000Z

324

Analysis of the Hydrogen Infrastructure Needed to Enable Commercial Introduction of Hydrogen-Fueled Vehicles: Preprint  

DOE Green Energy (OSTI)

This paper for the 2005 National Hydrogen Association conference analyzes the hydrogen infrastructure needed to accommodate a transitional hydrogen fuel cell vehicle demand.

Melendez, M.; Milbrandt, A.

2005-03-01T23:59:59.000Z

325

EIA - Household Transportation report: Household Vehicles Energy Use:  

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

Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Use: Latest Data & Trends November 2005 Release (Next Update: Discontinued) Based on the 2001 National Household Travel Survey conducted by the U.S. Department of Transportation and augmented by EIA Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses in an effort to maintain consistency with its past residential transportation series, which was discontinued after 1994. This report, Household Vehicles Energy Use: Latest Data & Trends, provides details on the nation's energy use for household passenger travel. A primary purpose of this report is to release the latest consumer-based data

326

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...

327

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Administration. EPA (2008) eGRID Year 2005 Summary Tables,DSW Desert Southwest eGRID Emissions and Generation Resourceare based on those from the EPA’s eGRID database *47+, which

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

328

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

AND PARAMETERS A Wind turbine rotor-swept area (m 2 ) AEOm 3 ), A is rotor-swept area of the turbine (m 2 ), C p is

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

329

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

24. Renewable and nuclear power plant cost characteristicsnuclear power plantsgeothermal, and nuclear power plants are represented as

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

330

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

natural gas-fired power plant heat rates and generation,natural gas-fired power plant heat rates and generation,natural gas power plants and underestimates generation from

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

331

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

emissions rate from natural gas supply that occurs upstreamassociated with natural gas supply to the power plant weresuggest natural gas-fired power plants will supply “

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

332

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

competition between gas turbines and compressed air energyby fuel type, prime mover (gas turbine versus steam turbine,cycle NGCT Natural gas combustion turbine NGST Natural gas

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

333

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

minimize fossil capacity requirements does not reduce costsCA does not necessarily reduce fossil capacity requirementsdoes little to change peak dispatchable capacity requirements,

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

334

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

the availability of hydro power has the greatest impact oncontribute to a redesigned hydro power supply system in thein 2050 (like all non-hydro power plants in this analysis,

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

335

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

10 regions Illinois Colorado, Xcel Energy service area LADWPVehicle Charging in the Xcel Energy Colorado Servicecomprised 30% of LDVs in Xcel Energy’s Colorado service

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

336

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

CEC (2009) Statewide Electricity Rates by Utility, Class andrates if the marginal electricity rate from the LCFS isestimated marginal electricity emissions rate in California’

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

337

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

s Colorado service area, system electricity requirementsColorado from the Southwest. ) The definitions of the three regions used by the Western Electricity

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

338

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

109 Figure 57. Assumed natural gas and coal prices in LEDGE-explored. Natural gas Energy price (2007$/MMBtu) Coal Figureassumed relative prices of natural gas and coal decades into

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

339

Demand for Electric Vehicles in Hybrid Households: An Exploratory Analysis  

E-Print Network (OSTI)

heating coffee or cooking any of hundreds of products which have been specifically repackaged for microwave ovens.

Kurani, Kenneth S.; Turrentine, Tom; Sperling, Daniel

1994-01-01T23:59:59.000Z

340

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

turbine NGST Natural gas steam turbine NWPP Northwest Powerfrom natural gas steam turbine (NGST) and natural gasNGST = Natural gas steam turbine; NWPP = Northwest Power

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

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

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

The regional distribution of generation and average GHGin LEDGE-CA, and the distribution of generation among fossildistribution of hydro generation

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

342

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

or off. (With future “smart grids,” utilities might controlsuch as deferring loads with a “smart grid”) on the results.available today, a “smart grid” connected to many active

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

343

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Benefits of Concentrating Solar Power in California, NREL/I. (2007) Concentrating Solar Power (CSP) Resources, Cost,in supplementing future solar power plants, as represented

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

344

Solving the Vehicle Routing Problem with Stochastic Demands ...  

E-Print Network (OSTI)

Oct 9, 2003 ... Also, we thank Marc Posner from Ohio State University for his help with integer programming formulations. We thank Reuven Rubinstein and ...

345

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Wind power planning: assessing long-term costs and benefits, Energy Policy,wind energy: modeling the competition between gas turbines and compressed air energy storage for supplemental generation, Energy Policy,wind or solar power will singularly provide a majority of renewable generation in a future with energy policies

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

346

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

IGCC Integrated gasification combined cycle IID ImperialCorporation NGCC Natural gas combined-cycle NGCT Natural gas79% from natural gas combined cycle (NGCC) power plants, and

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

347

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

109 Figure 57. Assumed natural gas and coal prices in LEDGE-Assumed natural gas and coal prices in LEDGE-CA [152]. Itin Figure 57. The coal price stays relatively constant

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

348

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

determine marginal generation sources. Although electricity16. Validation of generation by energy source in EDGE-CA (Validation of generation by energy source in EDGE-CA (TWh).

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

349

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

and R.H. Socolow (2007) Baseload wind energy: modeling theEfficiency Assessment of Baseload Wind Energy Systems,to more highly-utilized baseload plants with lower operating

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

350

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

daily or annual load profiles [70-78]. The EDGE-CA andleads to an adjusted load profile (illustrated in Step 2b)between the adjusted load profile and hydro generation

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

351

A Demand Forecasting System for Clean-Fuel Vehicles  

E-Print Network (OSTI)

at-home refueling (compressed natural gas), the availabilitygasoline, compressed natural gas, and electricity -- haveclean fuels. For compressed natural gas and methanol this is

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

1994-01-01T23:59:59.000Z

352

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

the generation shares from coal-fired plants with high GHGof generation from coal-fired plants, marginal emissionsdemand in LADWP, where coal-fired plants may provide most of

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

353

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

natural gas price .Figure 84. Effects of natural gas prices on screening curvesICE Month Ahead Natural Gas Price Report, Intercontinental

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

354

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

provided by natural gas power plants. In fact, based ondispatchable natural gas power plants, which can be rampedefficiency among natural gas power plants and higher average

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

355

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

from biomass, geothermal, solar (PV and solar thermal), andof generation from wind, solar PV, and solar thermal powergeneration Solar thermal Solar PV Wind Geothermal Biomass

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

356

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

2007) Baseload wind energy: modeling the competition betweenSystems Integrated with Wind Energy Resources in California,Assessment of Baseload Wind Energy Systems, Environmental

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

357

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

gas price .84. Effects of natural gas prices on screening curves inICE Month Ahead Natural Gas Price Report, Intercontinental

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

358

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

costs of natural gas co-firing ignored) Oil 10 plants withcome from natural gas co-firing in some biomass powergeneration from natural gas co-firing) has ranged from 26%

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

359

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

active natural gas generators and imports will decline, inadditional system imports and natural gas-fired generation66%) Natural gas (22%) Renewable (1.4%) DSW imports 3 Coal (

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

360

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

100-2007-008-CMF, California Energy Commission. ARB (2007)400-2005-006-CMF, California Energy Commission. CEC (2006)400-2005-005-CMF, California Energy Commission. ICC (2009)

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

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

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

provided by natural gas power plants. In fact, based onof dispatchable natural gas power plants, which can beefficiency among natural gas power plants and higher average

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

362

Assessing Vehicle Electricity Demand Impacts on California Electricity Supply  

E-Print Network (OSTI)

Energy and Environmental Economics, I. (2007) Wind Resources, Cost, andWind power planning: assessing long-term costs and benefits, Energy

McCarthy, Ryan W.

2009-01-01T23:59:59.000Z

363

Evaluation of an Urban Travel Training for Older Adults  

E-Print Network (OSTI)

of life. Travel training programs designed to increaseevaluation of a travel training program that educated olderservices. Travel training programs that instruct older

Babka, Rhianna JoIris; Cooper, Jill F.; Ragland, David R.

2009-01-01T23:59:59.000Z

364

DOE Tribal Leader Solar Energy Forum - Travel Fact Sheet | Department...  

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

Tribal Leader Solar Energy Forum - Travel Fact Sheet DOE Tribal Leader Solar Energy Forum - Travel Fact Sheet Travel Fact Sheet Palm Springs Dec 2011.pdf More Documents &...

365

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

time. 4 Reducing this peak demand through DR programs meansthat a 5% reduction in peak demand would have resulted insame 5% reduction in the peak demand of the US as a whole.

Shen, Bo

2013-01-01T23:59:59.000Z

366

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network (OSTI)

shift in the short-run price elasticity of gasoline demand.A meta-analysis of the price elasticity of gasoline demand.2007. Consumer demand un- der price uncertainty: Empirical

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

367

California Independent System Operator demand response & proxy demand resources  

Science Conference Proceedings (OSTI)

Demand response programs are designed to allow end use customers to contribute to energy load reduction individually or through a demand response provider. One form of demand response can occur when an end use customer reduces their electrical usage ...

John Goodin

2012-01-01T23:59:59.000Z

368

Traveling Between Iranian and American Identities  

E-Print Network (OSTI)

D aily life in Shiraz, Iran Traveling Between Iranian andpudding (samanu) symbolic of Iran’s 2000-year-old culturalwriters and my travels to Iran during the past summer. As an

Pazargadi, Leila

2007-01-01T23:59:59.000Z

369

Nissan Hypermini Urban Electric Vehicle Testing  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy’s (DOE’s) Advanced Vehicle Testing Activity (AVTA), which is part of DOE’s FreedomCAR and Vehicle Technologies Program, in partnership with the California cities of Vacaville and Palm Springs, collected mileage and maintenance and repairs data for a fleet of eleven Nissan Hypermini urban electric vehicles (UEVs). The eleven Hyperminis were deployed for various periods between January 2001 and June 2005. During the combined total of 439 months of use, the eleven Hyperminis were driven a total of 41,220 miles by staff from both cities. This equates to an average use of about 22 miles per week per vehicle. There were some early problems with the vehicles, including a charging problem and a need to upgrade the electrical system. In addition, six vehicles required drive system repairs. However, the repairs were all made under warranty. The Hyperminis were generally well-liked and provided drivers with the ability to travel any of the local roads. Full charging of the Hypermini’s lithiumion battery pack required up to 4 hours, with about 8–10 miles of range available for each hour of battery charging. With its right-side steering wheel, some accommodation of the drivers’ customary driving methods was required to adapt for different blind spots and vehicle manipulation. For that reason, the drivers received orientation and training before using the vehicle. The Hypermini is instrumented in kilometers rather than in miles, which required an adjustment for the drivers to calculate speed and range. As the drivers gained familiarity with the vehicles, there was increased acceptance and a preference for using it over traditional city vehicles. In all cases, the Hyperminis attracted a great amount of attention and interest from the general public.

James Francfort; Robert Brayer

2006-01-01T23:59:59.000Z

370

Battery Electric Vehicles: Range Optimization and Diversification for the U.S. Drivers  

DOE Green Energy (OSTI)

Properly selecting the driving range is critical for accurately predicting the market acceptance and the resulting social benefits of BEVs. Analysis of transportation technology transition could be biased against battery electric vehicles (BEV) and mislead policy making, if BEVs are not represented with optimal ranges. This study proposes a coherent method to optimize the BEV driving range by minimizing the range-related cost, which is formulated as a function of range, battery cost, energy prices, charging frequency, access to backup vehicles, and the cost and refueling hassle of operating the backup vehicle. This method is implemented with a sample of 36,664 drivers, representing U.S. new car drivers, based on the 2009 National Household Travel Survey data. Key findings are: 1) Assuming the near term (2015) battery cost at $405/kWh, about 98% of the sampled drivers are predicted to prefer a range below 200 miles, and about 70% below 100 miles. The most popular 20-mile band of range is 57 to77 miles, unsurprisingly encompassing the Leaf s EPA-certified 73-mile range. With range limited to 4 or 7 discrete options, the majority are predicted to choose a range below 100 miles. 2) Found as a statistically robust rule of thumb, the BEV optimal range is approximately 0.6% of one s annual driving distance. 3) Reducing battery costs could motivate demand for larger range, but improving public charging may cause the opposite. 4) Using a single range to represent BEVs in analysis could significantly underestimate their competitiveness e.g. by $3226/vehicle if BEVs are represented with 73-mile range only or by $7404/BEV if with 150-mile range only. Range optimization and diversification into 4 or 7 range options reduce such analytical bias by 78% or 90%, respectively.

Lin, Zhenhong [ORNL

2012-01-01T23:59:59.000Z

371

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 39 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Commercial Demand Module The NEMS Commercial Sector Demand Module generates projections of commercial sector energy demand through 2035. The definition of the commercial sector is consistent with EIA's State Energy Data System (SEDS). That is, the commercial sector includes business establishments that are not engaged in transportation or in manufacturing or other types of industrial activity (e.g., agriculture, mining or construction). The bulk of commercial sector energy is consumed within buildings; however, street lights, pumps, bridges, and public services are also included if the establishment operating them is considered commercial.

372

Residential Demand Module  

Gasoline and Diesel Fuel Update (EIA)

2 2 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 housing units, and retires and replaces appliances. The primary exogenous drivers for the module are housing starts by type

373

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and 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 SEDS 27 data.

374

Demand Response In California  

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

Energy Efficiency & Energy Efficiency & Demand Response Programs Dian M. Grueneich, Commissioner Dian M. Grueneich, Commissioner California Public Utilities Commission California Public Utilities Commission FUPWG 2006 Fall Meeting November 2, 2006 Commissioner Dian M. Grueneich November 2, 2006 1 Highest Priority Resource Energy Efficiency is California's highest priority resource to: Meet energy needs in a low cost manner Aggressively reduce GHG emissions November 2, 2006 2 Commissioner Dian M. Grueneich November 2, 2006 3 http://www.cpuc.ca.gov/PUBLISHED/REPORT/51604.htm Commissioner Dian M. Grueneich November 2, 2006 4 Energy Action Plan II Loading order continued "Pursue all cost-effective energy efficiency, first." Strong demand response and advanced metering

375

Automated Demand Response Today  

Science Conference Proceedings (OSTI)

Demand response (DR) has progressed over recent years beyond manual and semi-automated DR to include growing implementation and experience with fully automated demand response (AutoDR). AutoDR has been shown to be of great value over manual and semi-automated DR because it reduces the need for human interactions and decisions, and it increases the speed and reliability of the response. AutoDR, in turn, has evolved into the specification known as OpenADR v1.0 (California Energy Commission, PIER Program, C...

2012-03-29T23:59:59.000Z

376

United States lubricant demand  

Science Conference Proceedings (OSTI)

This paper examines United States Lubricant Demand for Automotive and Industrial Lubricants by year from 1978 to 1992 and 1997. Projected total United States Lubricant Demand for 1988 is 2,725 million (or MM) gallons. Automotive oils are expected to account for 1,469MM gallons or (53.9%), greases 59MM gallons (or 2.2%), and Industrial oils will account for the remaining 1,197MM gallons (or 43.9%) in 1988. This proportional relationship between Automotive and Industrial is projected to remain relatively constant until 1992 and out to 1997. Projections for individual years between 1978 to 1992 and 1997 are summarized.

Solomon, L.K.; Pruitt, P.R.

1988-01-01T23:59:59.000Z

377

Demand Response Valuation Frameworks Paper  

E-Print Network (OSTI)

No. ER06-615-000 CAISO Demand Response Resource User Guide -8 2.1. Demand Response Provides a Range of Benefits to8 2.2. Demand Response Benefits can be Quantified in Several

Heffner, Grayson

2010-01-01T23:59:59.000Z

378

The lithium-ion battery industry for electric vehicles  

E-Print Network (OSTI)

Electric vehicles have reemerged as a viable alternative means of transportation, driven by energy security concerns, pressures to mitigate climate change, and soaring energy demand. The battery component will play a key ...

Kassatly, Sherif (Sherif Nabil)

2010-01-01T23:59:59.000Z

379

Vehicle Technologies Office: Fact #507: February 25, 2008 The...  

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

7: February 25, 2008 The Short-Run Price Elasticity of Gasoline Demand Declined Over the Past Several Decades to someone by E-mail Share Vehicle Technologies Office: Fact 507:...

380

Racial and demographic differences in household travel and fuel purchase behavior  

Science Conference Proceedings (OSTI)

Monthly fuel purchase logs from the Residential Energy Consumption Survey's Household Transportation Panel (TP) were analyzed to determine the relationship between various household characteristics and purchase frequency, tank inventories, vehicle-miles traveled, and fuel expenditures. Multiple classification analysis (MCA) was used to relate observed differences in dependent variables to such index-type household characteristics as income and residence location, and sex, race and age of household head. Because it isolates the net effect of each parameter, after accounting for the effects of all other parameters, MCA is particularly appropriate for this type of analysis. Results reveal clear differences in travel and fuel purchase behavior for four distinct groups of vehicle-owning households. Black households tend to own far fewer vehicles with lower fuel economy, to use them more intensively, to purchase fuel more frequently, and to maintain lower fuel inventories than white households. Similarly, poor households own fewer vehicles with lower fuel economy, but they drive them less intensively, purchase fuel more frequently, and maintain lower fuel inventories than nonpoor households. Elderly households also own fewer vehicles with lower fuel economy. But since they drive them much less intensively, their fuel purchases are much less frequent and their fuel inventories are higher than nonelderly households. Female-headed households also own fewer vehicles but with somewhat higher fuel economy. They drive them less intensively, maintain higher fuel inventories, and purchase fuel less frequently than male-headed households. 13 refs., 8 tabs.

Gur, Y.; Millar, M.

1987-01-01T23:59:59.000Z

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

382

Plasma Colloquium Travel Grant Program  

SciTech Connect

OAK B188 Plasma Colloquium Travel Grant Program. The purpose of the Travel Grant Program is to increase the awareness of plasma research. The new results and techniques of plasma research in fusion plasmas, plasma processing space plasmas, basic plasma science, etc, have broad applicability throughout science. The benefits of these results are limited by the relatively low awareness and appreciation of plasma research in the larger scientific community. Whereas spontaneous interactions between plasma scientists and other scientists are useful, a focused effort in education and outreach to other scientists is efficient and is needed. The academic scientific community is the initial focus of this effort, since that permits access to a broad cross-section of scientists and future scientists including undergraduates, graduate students, faculty, and research staff.

Hazeltine, R.D.

1998-09-14T23:59:59.000Z

383

On Demand Guarantees in Iran.  

E-Print Network (OSTI)

??On Demand Guarantees in Iran This thesis examines on demand guarantees in Iran concentrating on bid bonds and performance guarantees. The main guarantee types and… (more)

Ahvenainen, Laura

2009-01-01T23:59:59.000Z

384

Transportation Demand Management Plan  

E-Print Network (OSTI)

Transportation Demand Management Plan FALL 2009 #12;T r a n s p o r t a t i o n D e m a n d M a n the transportation impacts the expanded enrollment will have. Purpose and Goal The primary goal of the TDM plan is to ensure that adequate measures are undertaken and maintained to minimize the transportation impacts

385

Commercial Sector Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Kevin Jarzomski

2012-11-15T23:59:59.000Z

386

Commercial Sector Demand Module  

Reports and Publications (EIA)

Documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components.

Kevin Jarzomski

2013-10-10T23:59:59.000Z

387

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

388

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.

389

Fuel-Based On-Road Motor Vehicle Emissions Inventory  

E-Print Network (OSTI)

Fuel-Based On-Road Motor Vehicle Emissions Inventory for the Denver Metropolitan Area Sajal S sales from tax department -quite precise Inventory -uncertainty can be estimated Travel Based Model FuelGasohol (LTK, PAS) Tons/day3748369Gasoline (LTK, PAS) g per kg of fuel7859Gasohol (LTK, PAS) g per kg

Denver, University of

390

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

391

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...

392

Blog Feed: Vehicles | Department of Energy  

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

August 11, 2010 August 11, 2010 Cody Friesen and his team at Arizona State University | Photo Credit Arizona State University The Future of Electric Vehicles and Arizona State University's MAIL Battery Building cost-effective EVs just got a little easier. August 11, 2010 Electric vehicles are powered by electricity that comes in the form of electrically charged molecules known as ions. Those ions need a substance to transport them throughout the system as they travel from the anode to the cathode and back again. That substance is an electrolyte. | Staff Photo Illustration Novolyte Charging Up Electric Vehicle Sector Just outside Baton Rouge in Zachary, Louisiana, sits Novolyte Technologies, a battery component manufacturer in business since the early 1970s, making components for batteries used in everything from calculators to hearing

393

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

394

Travel  

Science Conference Proceedings (OSTI)

... Train - Amtrak runs to the Rockville and Union Station stops, from which you can get on the Metro and take the Red line to Shady Grove, from which ...

2013-03-23T23:59:59.000Z

395

Cost-effectiveness of freeway median high occupancy vehicle (HOV) facility conversion to rail guideway transit  

E-Print Network (OSTI)

Many freeways in the United States contain median high occupancy vehicle (HOV) facilities. These facilities have been envisioned by some as reserved space for future rail guideway transit. This thesis examines the cost-effectiveness of converting a freeway median HOV lane into a guideway transit line. A full-cost model was developed to determine the cost effectiveness of converting an HOV lane into a rail transit line. The measure of cost-effectiveness used was the benefit-to-cost ratio. The full-cost model contained two cost categories (capital and operating costs) and two benefit categories (travel time and externality benefits). This fullcost model was adopted to conditions on the Katy Freeway in Houston Texas which served as a case study for this thesis. It was found that 29 percent of the person-miles of travel on the Katy Freeway under given conditions must utilize guideway transit for conversion to be cost-effective. It was also found that the model is sensitive to assumptions of the value of time, project soft costs (administrative, planning, and design costs) and the operating cost of the rail transit system. The model is also sensitive to assumptions regarding latent demand. It was concluded that conversion to rail guideway transit in the case study example is not cost-effective. It was reconunended that further investigation be taken into full-cost model components to allow more certain estimates of cost components. Also recommended was further consideration of the effects of latent demand on HOV to rail guideway transit conversions.

Best, Matthew Evans

1996-01-01T23:59:59.000Z

396

Commercial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

4 4 The commercial module forecasts consumption by fuel 15 at the Census division level using prices from the NEMS energy supply modules, and macroeconomic variables from the NEMS Macroeconomic Activity Module (MAM), as well as external data sources (technology characterizations, for example). Energy demands are forecast for ten end-use services 16 for eleven building categories 17 in each of the nine Census divisions (see Figure 5). The model begins by developing forecasts of floorspace for the 99 building category and Census division combinations. Next, the ten end-use service demands required for the projected floorspace are developed. The electricity generation and water and space heating supplied by distributed generation and combined heat and power technologies are projected. Technologies are then

397

Industrial Demand Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 51 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Industrial Demand Module The NEMS Industrial Demand Module estimates energy consumption by energy source (fuels and feedstocks) for 15 manufacturing and 6 non-manufacturing 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 procedure, whereas the non- manufacturing industries are modeled with substantially less detail. The petroleum refining industry is not included in the Industrial Module, as it is simulated separately in the Petroleum Market Module of NEMS. The Industrial Module calculates

398

On Demand Paging Using  

E-Print Network (OSTI)

The power consumption of the network interface plays a major role in determining the total operating lifetime of wireless handheld devices. On demand paging has been proposed earlier to reduce power consumption in cellular networks. In this scheme, a low power secondary radio is used to wake up the higher power radio, allowing the latter to sleep or remain off for longer periods of time. In this paper we present use of Bluetooth radios to serve as a paging channel for the 802.11 wireless LAN. We have implemented an on-demand paging scheme on a WLAN consisting of iPAQ PDAs equipped with Bluetooth radios and Cisco Aironet wireless networking cards. Our results show power saving ranging from 19% to 46% over the present 802.11b standard operating modes with negligible impact on performance.

Bluetooth Radios On; Yuvraj Agarwal; Rajesh K. Gupta

2003-01-01T23:59:59.000Z

399

ENERGY DEMAND FORECAST METHODS REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400 .......................................................................................................................................1-1 ENERGY DEMAND FORECASTING AT THE CALIFORNIA ENERGY COMMISSION: AN OVERVIEW

400

Demand Forecast INTRODUCTION AND SUMMARY  

E-Print Network (OSTI)

Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required of any forecast of electricity demand and developing ways to reduce the risk of planning errors that could arise from this and other uncertainties in the planning process. Electricity demand is forecast

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

Constrained tâtonnement for fast and incentive compatible distributed demand management in smart grids  

Science Conference Proceedings (OSTI)

Growing fuel costs, environmental awareness, government directives, an aggressive push to deploy Electric Vehicles (EVs) (a single EV consumes the equivalent of 3 to 10 homes) have led to a severe strain on a grid already on the brink. Maintaining the ... Keywords: demand management, distributed algorithms, electric vehicle, smart distributed system

Shweta Jain, Narayanaswamy Balakrishnan, Yadati Narahari, Saiful A. Hussain, Nyuk Yoong Voo

2013-01-01T23:59:59.000Z

402

Net Demand3 Production  

E-Print Network (OSTI)

Contract Number: DE-FE0004002 (Subcontract: S013-JTH-PPM4002 MOD 00) Summary The US DOE has identified a number of materials that are both used by clean energy technologies and are at risk of supply disruptions in the short term. Several of these materials, especially the rare earth elements (REEs) yttrium, cerium, and lanthanum were identified by DOE as critical (USDOE 2010) and are crucial to the function and performance of solid oxide fuel cells (SOFCs) 1. In addition, US DOE has issued a second Request For Information regarding uses of and markets for these critical materials (RFI;(USDOE 2011)). This report examines how critical materials demand for SOFC applications could impact markets for these materials and vice versa, addressing categories 1,2,5, and 6 in the RFI. Category 1 – REE Content of SOFC Yttria (yttrium oxide) is the only critical material (as defined for the timeframe of interest for SOFC) used in SOFC 2. Yttrium is used as a dopant in the SOFC’s core ceramic cells.. In addition, continuing developments in SOFC technology will likely further reduce REE demand for SOFC, providing credible scope for at least an additional 50 % reduction in REE use if desirable. Category 2 – Supply Chain and Market Demand SOFC developers expect to purchase

J. Thijssen Llc

2011-01-01T23:59:59.000Z

403

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

404

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

405

Household Vehicles Energy Use: Latest Data & Trends  

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

B B : E S T I M AT I O N M E T H O D O L O G I E S APPENDIX B A P P E N D I X B ESTIMATION METHODOLOGIES INTRODUCTION The National Household Travel Survey (NHTS) is the nation's inventory of local and long distance travel, according to the U.S. Department of Transportation. Between April 2001 and May 2002, roughly 26 thousand households 41 were interviewed about their travel, based on the use of over 53 thousand vehicles. Using confidential data collected during those interviews, coupled with EIA's retail fuel prices, external data sources of test 42 fuel economy, and internal procedures for modifying test fuel economy to on-road, in-use fuel economy, EIA has extended this inventory to include the energy used for travel, thereby continuing a data series that was discontinued by EIA in 1994. This appendix presents the methods used for each eligible sampled

406

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

407

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

408

Table 5.1. U.S. Number of Vehicles, Vehicle-Miles, Motor Fuel Consumption  

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

. U.S. Number of Vehicles, Vehicle-Miles, Motor Fuel Consumption . U.S. Number of Vehicles, Vehicle-Miles, Motor Fuel Consumption and Expenditures, 1994 1993 Household and 1994 Vehicle Characteristics RSE Column Factor: Number of Vehicles Vehicle-Miles Traveled Motor Fuel Consumption Motor Fuel Expenditures RSE Row Factor: (million) (percent) (billion) (percent) (billion gallons) (gallon percent) (quadril- lion Btu) (billion dollars) (percent) 0.9 0.8 1.1 1.0 1.1 1.0 1.1 1.1 1.0 Household Characteristics Total .................................................... 156.8 100.0 1,793 100.0 90.6 100.0 11.2 104.7 100.0 2.8 Census Region and Division Northeast ........................................... 26.6 17.0 299 16.7 14.5 16.0 1.8 17.2 16.4 5.7 New England ................................... 7.6 4.8 84 4.7 4.1 4.5 0.5 4.8 4.6 13.8 Middle Atlantic

409

Household Vehicles Energy Use: Latest Data & Trends  

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

This page left blank. This page left blank. E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices

410

Household Vehicles Energy Use: Latest Data & Trends  

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

E E N E R G Y O V E RV I E W ENERGY INFORMATION ADMINISTRATION/HOUSEHOLD VEHICLES ENERGY USE: LATEST DATA & TRENDS ENERGY OVERVIEW E N E R G Y O V E RV I E W INTRODUCTION Author's Note Estimates of gallons of fuel consumed, type of fuel used, price paid for fuel, and fuel economy are based on data imputed by EIA, using vehicle characteristics and vehicle-miles traveled data collected during the interview process for the 2001 National Household Travel Survey (NHTS). Rather than obtaining that information directly from fuel purchase diaries, EIA exploited its experience and expertise with modeling techniques for transportation studies, filling missing and uncollected data with information reported to other federal agencies, as described in Appendices B and C of this report.

411

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

412

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...

413

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...

414

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.

415

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...

416

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...

417

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...

418

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

Natural Gas Demands..xi Annual natural gas demand for each alternativeused in natural gas demand projections. 34

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

419

Identify Petroleum Reduction Strategies for Vehicles and Mobile Equipment |  

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

Petroleum Reduction Strategies for Vehicles and Mobile Petroleum Reduction Strategies for Vehicles and Mobile Equipment Identify Petroleum Reduction Strategies for Vehicles and Mobile Equipment October 7, 2013 - 11:50am Addthis YOU ARE HERE: Step 3 As defined by the Federal Energy Management Program (FEMP), greenhouse gas (GHG) emission reduction strategies for Federal vehicles and equipment are based on the three driving principles of petroleum reduction: Reduce vehicle miles traveled Improve fuel efficiency Use alternative fuels. These strategies provide a framework for an agency to use when developing a strategic plan that can be specifically tailored to match the agency's fleet profile and meet its mission. Agency fleet managers should evaluate petroleum reduction strategies and tactics for each fleet location, based on an evaluation of site-specific

420

EIA - Gasoline and Diesel Fuel report: Household Vehicles Energy  

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

1 1 Transportation logo printer-friendly version logo for Portable Document Format file Household Vehicles Energy Consumption 1991 December 1993 Release Next Update: August 1997. Based on the 1991 Residential Transportation Energy Consumption Survey conducted by the Energy Information Administration (EIA) - survey series has been discontinued after EIA's 1994 survey. Only light-duty vehicles and recreational vehicles are included in this report. EIA has excluded motorcycles, mopeds, large trucks, and buses. This report, Household Vehicles Energy Consumption 1991, is based on data from the 1991 Residential Transportation Energy Consumption Survey (RTECS). Focusing on vehicle miles traveled (VMT) and energy enduse consumption and expenditures by households for personal transportation, the 1991 RTECS is

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

A web spatial decision support system for vehicle routing using Google Maps  

Science Conference Proceedings (OSTI)

This article presents a user-friendly web-based spatial decision support system (wSDSS) aimed at generating optimized vehicle routes for multiple vehicle routing problems that involve serving the demand located along arcs of a transportation network. ... Keywords: Google MapsTM, Heuristics, Spatial decision support systems, Vehicle routing

Luís Santos; João Coutinho-Rodrigues; Carlos Henggeler Antunes

2011-04-01T23:59:59.000Z

422

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

423

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...

424

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...

425

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

426

California Energy Demand Scenario Projections to 2050  

E-Print Network (OSTI)

Minimum demand and Maximum demand incorporate assumptionslevels, or very minor Maximum demand household size, growthvehicles in Increasing Maximum demand 23 mpg truck share

McCarthy, Ryan; Yang, Christopher; Ogden, Joan M.

2008-01-01T23:59:59.000Z

427

Vehicle Technologies Office: 2004 Archive  

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

4 Archive 4 Archive #352 Automotive Industry Material Usage December 27, 2004 #351 Gasohol Use Is Up December 20, 2004 #350 U.S. Oil Imports: Top Ten Countries of Origin December 13, 2004 #349 Crude Oil Production: OPEC, the Persian Gulf, and the United States December 6, 2004 #348 U.S. Trade Deficit, 2001-2003 November 29, 2004 #347 The Relationship of VMT and GDP November 22, 2004 #346 What Is Made from a Barrel of Crude Oil? November 15, 2004 #345 Vehicle Miles Traveled and the Price of Gasoline November 8, 2004 #344 Refueling Stations November 1, 2004 #343 Reasons for Rejecting a Particular New Car Model October 25, 2004 #342 Passenger Car Sales in China October 18, 2004 #341 Tire Recycling October 11, 2004 #340 Hydrogen Fuel as a Replacement for Gasoline October 4, 2004

428

Vehicle Technologies Office: 2007 Archive  

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

7 Archive 7 Archive #499 Alternative Fuel Models: Gains and Losses December 10, 2007 #498 New Light Vehicle Fuel Economy December 3, 2007 #497 Fuel Drops to Third Place in the Trucking Industry Top Ten Concerns November 26, 2007 #496 Diesel Prices in the U.S. and Selected Countries: Cost and Taxes November 19, 2007 #495 Oil Price and Economic Growth, 1971-2006 November 12, 2007 #494 European Priorities When Buying a New Car November 5, 2007 #493 Market Share - Cars vs. Light Trucks October 29, 2007 #492 Gasoline Taxes in the U.S. and Selected Countries October 22, 2007 #491 Gasoline Prices: U.S. and Selected European Countries October 15, 2007 #490 Traffic Congestion Wastes Fuel October 8, 2007 #489 Share of Travel in Congested Conditions October 1, 2007

429

Vehicle Technologies Office: Fact #278: July 28, 2003 Annual VMT Growth  

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

8: July 28, 2003 8: July 28, 2003 Annual VMT Growth Rates to someone by E-mail Share Vehicle Technologies Office: Fact #278: July 28, 2003 Annual VMT Growth Rates on Facebook Tweet about Vehicle Technologies Office: Fact #278: July 28, 2003 Annual VMT Growth Rates on Twitter Bookmark Vehicle Technologies Office: Fact #278: July 28, 2003 Annual VMT Growth Rates on Google Bookmark Vehicle Technologies Office: Fact #278: July 28, 2003 Annual VMT Growth Rates on Delicious Rank Vehicle Technologies Office: Fact #278: July 28, 2003 Annual VMT Growth Rates on Digg Find More places to share Vehicle Technologies Office: Fact #278: July 28, 2003 Annual VMT Growth Rates on AddThis.com... Fact #278: July 28, 2003 Annual VMT Growth Rates Vehicle miles of travel (VMT) of highway vehicles in 2001 was 2.5 times

430

Dividends with Demand Response  

SciTech Connect

To assist facility managers in assessing whether and to what extent they should participate in demand response programs offered by ISOs, we introduce a systematic process by which a curtailment supply curve can be developed that integrates costs and other program provisions and features. This curtailment supply curve functions as bid curve, which allows the facility manager to incrementally offer load to the market under terms and conditions acceptable to the customer. We applied this load curtailment assessment process to a stylized example of an office building, using programs offered by NYISO to provide detail and realism.

Kintner-Meyer, Michael CW; Goldman, Charles; Sezgen, O.; Pratt, D.

2003-10-31T23:59:59.000Z

431

Greenhouse Earth: A Traveling Exhibition  

SciTech Connect

The Franklin Institute Science Museum provided an exhibit entitled the Greenhouse Earth: A Traveling Exhibition. This 3500 square-foot exhibit on global climate change was developed in collaboration with the Association of Science-Technology Centers. The exhibit opened at The Franklin Institute on February 14, 1992, welcoming 291,000 visitors over its three-month stay. During its three-year tour, Greenhouse Earth will travel to ten US cities, reaching two million visitors. Greenhouse Earth aims to deepen public understanding of the scientific issues of global warming and the conservation measures that can be taken to slow its effects. The exhibit features hands-on exhibitry, interactive computer programs and videos, a theater production, a demonstration cart,'' guided tours, and lectures. supplemental educational programs at the Institute included a teachers preview, a symposium on climate change, and a satellite field trip.'' The development of Greenhouse Earth included front-end and formative evaluation procedures. Evaluation includes interviews with visitors, prototypes, and summative surveys for participating museums. During its stay in Philadelphia, Greenhouse Earth was covered by the local and national press, with reviews in print and broadcast media. Greenhouse Earth is the first large-scale museum exhibit to address global climate change.

Booth, W.H.; Caesar, S.

1992-09-01T23:59:59.000Z

432

Is Interstellar Space Travel Possible?  

E-Print Network (OSTI)

It is shown that space travel, even in the most distant future, will remain confined to our own planetary system, and a similar conclusion will hold forth for any other civilization, no matter how advanced it might be, unless those extra-terrestrial species have life spans order of magnitude longer than ours. Even in such a case it is unlikely that they will travel much farther than their immediate stellar neighbourhood, as each such excursion will exhaust the resources of their home planet so much that those will dwindle rather fast and there might not be much left for the further scientific and technological advancements. So the science-fiction fancy of a "Galactic Empire" may ever remain in our fantasies only. And as for the mythical UFOs, whose quiet appearances do get reported in the press once in a while, recent explorations have shown no evidence that any such thing could have an origination within our own solar system itself. And a "quiet trip" back and forth from a distant star is almost impossible a...

Singal, Tanmay

2013-01-01T23:59:59.000Z

433

Heavy Vehicle Propulsion Materials Program  

DOE Green Energy (OSTI)

The objective of the Heavy Vehicle Propulsion Materials Program is to develop the enabling materials technology for the clean, high-efficiency diesel truck engines of the future. The development of cleaner, higher-efficiency diesel engines imposes greater mechanical, thermal, and tribological demands on materials of construction. Often the enabling technology for a new engine component is the material from which the part can be made. The Heavy Vehicle Propulsion Materials Program is a partnership between the Department of Energy (DOE), and the diesel engine companies in the United States, materials suppliers, national laboratories, and universities. A comprehensive research and development program has been developed to meet the enabling materials requirements for the diesel engines of the future. Advanced materials, including high-temperature metal alloys, intermetallics, cermets, ceramics, amorphous materials, metal- and ceramic-matrix composites, and coatings, are investigated for critical engine applications.

Sidney Diamond; D. Ray Johnson

1999-04-26T23:59:59.000Z

434

A Set of Comparable Carbon Footprints for Auto, Truck and Transit Travel in Metropolitan America  

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

Set of Comparable Carbon Footprints for Highway Travel in Set of Comparable Carbon Footprints for Highway Travel in Metropolitan America by Frank Southworth* and Anthon Sonnenberg** August 31, 2009 *Corresponding author: Senior R&D Staff, Oak Ridge National Laboratory and Principal Research Scientist Georgia Institute of Technology 790 Atlantic Drive SEB Building, Room 324 Atlanta, GA 30332-0355 E-mail: frank.southworth@ce.gatech.edu ** PhD Student, Georgia Institute of Technology School of Civil and Environmental Engineering Georgia Institute of Technology 1 Abstract The authors describe the development of a set of carbon dioxide emissions estimates for highway travel by automobile, truck, bus and other public transit vehicle movements within the nation's 100 largest metropolitan areas, in calendar year 2005. Considerable variability is found to exist

435

2003 TMS Annual Meeting: Travel Information  

Science Conference Proceedings (OSTI)

This service accesses all major airlines and Amtrak. Public buses, trolleys, and coasters provide transportation throughout the city and county with travel to and ...

436

Structural Equation Modeling For Travel Behavior Research  

E-Print Network (OSTI)

variables. However, car usage was found to be complementaryconcerning reductions in car usage, and feelings related toPre-commitment and usage: Season tickets, cars and travel.

Golob, Thomas F.

2001-01-01T23:59:59.000Z

437

Structural Equation Modeling for Travel Behavior Research  

E-Print Network (OSTI)

variables. However, car usage was found to be complementaryconcerning reductions in car usage, and feelings related toPre-commitment and usage: Season tickets, cars and travel.

Golob, Thomas F.

2001-01-01T23:59:59.000Z

438

Structural Equation Modeling For Travel Behavior Research  

E-Print Network (OSTI)

variables. However, car usage was found to be complementaryconcerning reductions in car usage, and feelings related toPre-commitment and usage: Season tickets, cars and travel.

Golob, Thomas F.

2011-01-01T23:59:59.000Z

439

Travel Resources | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Travel Resources Home > About Us > Our Programs > Defense Programs > Future Science & Technology Programs > Office of Advanced Simulation and Computing Institutional Research...

440

Chinese demand drives global deforestation Chinese demand drives global deforestation  

E-Print Network (OSTI)

Chinese demand drives global deforestation Chinese demand drives global deforestation By Tansa Musa zones and do not respect size limits in their quest for maximum financial returns. "I lack words economy. China's demand for hardwood drives illegal logging says "Both illegal and authorized

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

Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand  

E-Print Network (OSTI)

: Properties of the AIDS Generalized Maximum Entropy Estimator 24 #12;Estimating a Demand SystemEstimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand Amos Golan* Jeffrey with nonnegativity constraints is presented. This approach, called generalized maximum entropy (GME), is more

Perloff, Jeffrey M.

442

CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Demand Forecast report is the product of the efforts of many current and former California Energy Commission staff. Staff contributors to the current forecast are: Project Management and Technical Direction

443

Development of Improved Traveler Survey Methods for High-Speed Intercity Passenger Rail Planning  

E-Print Network (OSTI)

High-speed passenger rail is seen by many in the U.S. transportation policy and planning communities as an ideal solution for fast, safe, and resource-efficient mobility in high-demand intercity corridors. To expand the body of knowledge for high-speed intercity passenger rail in the U.S., the overall goal of this dissertation was to better understand the demand for high-speed intercity passenger rail services in small- or medium-sized intermediate communities and improve planners' ability to estimate such demand through traveler surveys; specifically, the use of different experimental designs for stated preference questions and the use of images to describe hypothetical travel alternatives in traveler surveys. In pursuit of this goal, an Internet-based survey was distributed to residents of Waco and Temple, two communities located along the federally-designated South Central High-Speed Rail Corridor in Central Texas. A total of 1,160 surveys were obtained from residents of the two communities. Mixed logit travel mode choice models developed from the survey data revealed valuable findings that can inform demand estimates and the design of traveler surveys for high-speed intercity passenger rail planning activities. Based on the analysis presented in this dissertation, ridership estimates for new high-speed intercity passenger rail lines that are planned to serve intermediate communities should not assume that residents of these communities have similar characteristics and values. The d-efficient stated preference experimental design was found to provide a mode choice model with a better fit and greater significance on key policy variables than the adaptive design and therefore is recommended for use in future surveys. Finally, it is recommended that surveys should consider the use of images of proposed train services to aid respondent decision-making for stated preference questions, but only if the images used in the survey depict equipment that could be realistically deployed in the corridor.

Sperry, Benjamin

2012-05-01T23:59:59.000Z

444

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

445

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

446

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

447

Future demand for electricity in the Nassau--Suffolk region  

DOE Green Energy (OSTI)

Brookhaven National Laboratory established a new technology for load forecasting for the Long Island Lighting Company and prepared an independent forecast of the demand for electricity in the LILCO area. The method includes: demand for electricity placed in a total energy perspective so that substitutions between electricity and other fuels can be examined; assessment of the impact of conservation, new technology, gas curtailment, and other factors upon demand for electricity; and construction of the probability distribution of the demand for electricity. A detailed analysis of changing levels of demand for electricity, and other fuels, associated with these new developments is founded upon a disaggregated end-use characterization of energy utilization, including space heat, lighting, process energy, etc., coupled to basic driving forces for future demand, namely: population, housing mix, and economic growth in the region. The range of future events covers conservation, heat pumps, solar systems, storage resistance heaters, electric vehicles, extension of electrified rail, total energy systems, and gas curtailment. Based upon cost and other elements of the competition between technologies, BNL assessed the likelihood of these future developments. An optimistic view toward conservation leads to ''low'' demand for electricity, whereas rapid development of new technologies suggests ''high'' demand. (MCW)

Carroll, T.W.; Palmedo, P.F.; Stern, R.

1977-12-01T23:59:59.000Z

448

DOE Announces $30 Million for Plug-in Hybrid Electric Vehicle Projects |  

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

0 Million for Plug-in Hybrid Electric Vehicle 0 Million for Plug-in Hybrid Electric Vehicle Projects DOE Announces $30 Million for Plug-in Hybrid Electric Vehicle Projects June 12, 2008 - 1:30pm Addthis Adds Plug-in Hybrid Vehicle to Department's Fleet WASHINGTON - U.S. Department of Energy (DOE) Assistant Secretary of Energy Efficiency and Renewable Energy Andy Karsner today announced up to $30 million in funding over three years for three cost-shared Plug-in Hybrid Electric Vehicles (PHEVs) demonstration and development projects. The selected projects will accelerate the development of PHEVs capable of traveling up to 40 miles without recharging, which includes most daily roundtrip commutes and satisfies 70 percent of the average daily travel in the U. S. The projects will also address critical barriers to achieving

449

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

450

Alternative fuel information: Alternative fuel vehicle outlook  

DOE Green Energy (OSTI)

Major automobile manufacturers continue to examine a variety of alternative fuel vehicle (AFV) options in an effort to provide vehicles that meet the fleet requirements of the Clean Air Act Amendments of 1990 (CAAA) and the Energy Policy Act of 1992 (EPACT). The current generation of AFVs available to consumers is somewhat limited as the auto industry attempts to respond to the presently uncertain market. At the same time, however, the automobile industry must anticipate future demand and is therefore engaged in research, development, and production programs on a wide range of alternative fuels. The ultimate composition of the AFV fleet may be determined by state and local regulations which will have the effect of determining demand. Many state and regional groups may require vehicles to meet emission standards more stringent than those required by the federal government. Therefore, a significant impact on the market could occur if emission classifications begin serving as the benchmark for vehicles, rather than simply certifying a vehicle as capable of operating on an ``alternative`` to gasoline. Vehicles classified as Zero-Emissions, or even Inherently Low-Emissions, could most likely be met only by electricity or natural gas, thereby dictating that multi-fuel vehicles would be unable to participate in some clean air markets. In the near-term, the Clinton Administration desires to accelerate the use of alternative fuels as evidenced by an executive order directing the federal government to increase the rate of conversion of the federal fleet beyond that called for in EPACT. The Administration has expressed particular interest in using more compressed natural gas (CNG) as a motor fuel, which has resulted in the auto industry`s strong response of concentrating short-term efforts on CNG vehicles. For the 1994 model year, a number of CNG cars and trucks will be available from major automobile manufacturers.

Not Available

1994-06-01T23:59:59.000Z

451

Demand Response | Department of Energy  

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

Demand Response Demand Response Demand Response Demand Response Demand response provides an opportunity for consumers to play a significant role in the operation of the electric grid by reducing or shifting their electricity usage during peak periods in response to time-based rates or other forms of financial incentives. Demand response programs are being used by electric system planners and operators as resource options for balancing supply and demand. Such programs can lower the cost of electricity in wholesale markets, and in turn, lead to lower retail rates. Methods of engaging customers in demand response efforts include offering time-based rates such as time-of-use pricing, critical peak pricing, variable peak pricing, real time pricing, and critical peak rebates. It also includes direct load control programs which provide the

452

Fuel and emission impacts of heavy hybrid vehicles.  

DOE Green Energy (OSTI)

Hybrid powertrains for certain heavy vehicles may improve fuel economy and reduce emissions. Of particular interest are commercial vehicles, typically in Classes 3-6, that travel in urban areas. Hybrid strategies and associated energy/emissions benefits for these classes of vehicles could be significantly different from those for passenger cars. A preliminary analysis has been conducted to investigate the energy and emissions performance of Class 3 and 6 medium-duty trucks and Class 6 school buses under eight different test cycles. Three elements are associated with this analysis: (1) establish baseline fuel consumption and emission scenario's from selected, representative baseline vehicles and driving schedules; (2) identify sources of energy inefficiency from baseline technology vehicles; and (3) assess maximum and practical potentials for energy savings and emissions reductions associated with heavy vehicle hybridization under real-world driving conditions. Our analysis excludes efficiency gains associated with such other measures as vehicle weight reduction and air resistance reduction, because such measures would also benefit conventional technology vehicles. Our research indicates that fuel economy and emission benefits of hybridization can be very sensitive to different test cycles. We conclude that, on the basis of present-day technology, the potential fuel economy gains average about 60-75% for Class 3 medium-duty trucks and 35% for Class 6 school buses. The fuel economy gains can be higher in the future, as hybrid technology continues to improve. The practical emissions reduction potentials associated with vehicle hybridization are significant as well.

An, F.; Eberhardt, J. J.; Stodolsky, F.

1999-03-02T23:59:59.000Z

453

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

454

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

E-Print Network (OSTI)

concern was the notion that CNG tanks would explode ifCA) did not have concerns about CNG tank integrity, and were

Nesbitt, Kevin; Sperling, Daniel

1998-01-01T23:59:59.000Z

455

Battery resource assessment. Interim report No. 1. Battery materials demand scenarios  

DOE Green Energy (OSTI)

Projections of demand for batteries and battery materials between 1980 and 2000 are presented. The estimates are based on existing predictions for the future of the electric vehicle, photovoltaic, utility load-leveling, and existing battery industry. Battery demand was first computed as kilowatt-hours of storage for various types of batteries. Using estimates for the materials required for each battery, the maximum demand that could be expected for each battery material was determined.

Sullivan, D.

1980-12-01T23:59:59.000Z

456

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005 ..............................................................................3 Residential Forecast Comparison ..............................................................................................5 Nonresidential Forecast Comparisons

457

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...

458

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 &...

459

Overview of Demand Response  

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

08 PJM 08 PJM www.pjm.com ©2003 PJM Overview of Demand Response PJM ©2008 PJM www.pjm.com ©2003 PJM Growth, Statistics, and Current Footprint AEP, Dayton, ComEd, & DUQ Dominion Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Generating Units 1,200 + Generation Capacity 165,000 MW Peak Load 144,644 MW Transmission Miles 56,070 Area (Square Miles) 164,250 Members 500 + Population Served 51 Million Area Served 13 States and DC Current PJM RTO Statistics Current PJM RTO Statistics PJM Mid-Atlantic Integrations completed as of May 1 st , 2005 ©2008 PJM

460

Sensitivity of Battery Electric Vehicle Economics to Drive Patterns, Vehicle Range, and Charge Strategies  

Science Conference Proceedings (OSTI)

Battery electric vehicles (BEVs) offer the potential to reduce both oil imports and greenhouse gas emissions, but high upfront costs discourage many potential purchasers. Making an economic comparison with conventional alternatives is complicated in part by strong sensitivity to drive patterns, vehicle range, and charge strategies that affect vehicle utilization and battery wear. Identifying justifiable battery replacement schedules and sufficiently accounting for the limited range of a BEV add further complexity to the issue. The National Renewable Energy Laboratory developed the Battery Ownership Model to address these and related questions. The Battery Ownership Model is applied here to examine the sensitivity of BEV economics to drive patterns, vehicle range, and charge strategies when a high-fidelity battery degradation model, financially justified battery replacement schedules, and two different means of accounting for a BEV's unachievable vehicle miles traveled (VMT) are employed. We find that the value of unachievable VMT with a BEV has a strong impact on the cost-optimal range, charge strategy, and battery replacement schedule; that the overall cost competitiveness of a BEV is highly sensitive to vehicle-specific drive patterns; and that common cross-sectional drive patterns do not provide consistent representation of the relative cost of a BEV.

Neubauer, J.; Brooker, A.; Wood, E.

2012-07-01T23:59:59.000Z

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

Oxygenate Supply/Demand Balances  

Gasoline and Diesel Fuel Update (EIA)

Oxygenate Supply/Demand Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model By Tancred C.M. Lidderdale This article first appeared in the Short-Term Energy Outlook Annual Supplement 1995, Energy Information Administration, DOE/EIA-0202(95) (Washington, DC, July 1995), pp. 33-42, 83-85. The regression results and historical data for production, inventories, and imports have been updated in this presentation. Contents * Introduction o Table 1. Oxygenate production capacity and demand * Oxygenate demand o Table 2. Estimated RFG demand share - mandated RFG areas, January 1998 * Fuel ethanol supply and demand balance o Table 3. Fuel ethanol annual statistics * MTBE supply and demand balance o Table 4. EIA MTBE annual statistics * Refinery balances

462

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:...

463

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:...

464

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...

465

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:...

466

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

467

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...

468

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:...

469

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:...

470

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...

471

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...

472

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...

473

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

474

Assessment of Future Vehicle Transportation Options and their Impact on the Electric Grid  

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

Future Vehicle Transportation Future Vehicle Transportation Options and Their Impact on the Electric Grid January 10, 2010 New Analysis of Alternative Transportation Technologies 3 What's New? * Additional Alternative Transportation Vehicles - Compressed Air Vehicles (CAVs) * Use electricity from the grid to power air compressor that stores compressed air - Natural Gas Vehicles (NGVs) * Connection to grid is in competing demand for fuel * Still an internal combustion engine (ICE) - Hydrogen Vehicles * Use fuel cell technology, no connection to electricity grid 4 General Takeaways * CAVs - Unproven technology - Poor environmental performance - High cost * NGVs - Poor environmental performance - Lack of refueling infrastructure - Cheaper fuel cost than ICEs - No direct impact on electric power grid * Hydrogen - Unproven technology

475

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...

476

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...

477

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

478

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

479

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...

480

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...

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

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...

482

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,...

483

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

484

TRAVEL POLICY AND UMBC #VIII-11.00.01  

E-Print Network (OSTI)

be utilized whenever possible for airline, train or bus tickets as well as hotel accommodations and car Reimbursements Ticketing Hotel Reservations Meals Travel by Car Travel by Private Airplane Travel Advances

Maryland, Baltimore County, University of

485

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,

486

Evidence is growing on demand side of an oil peak  

SciTech Connect

After years of continued growth, the number of miles driven by Americans started falling in December 2007. Not only are the number of miles driven falling, but as cars become more fuel efficient, they go further on fewer gallons - further reducing demand for gasoline. This trend is expected to accelerate. Drivers include, along with higher-efficiency cars, mass transit, reversal in urban sprawl, biofuels, and plug-in hybrid vehicles.

NONE

2009-07-15T23:59:59.000Z

487

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

488

Demand Response Programs, 6. edition  

Science Conference Proceedings (OSTI)

The report provides a look at the past, present, and future state of the market for demand/load response based upon market price signals. It is intended to provide significant value to individuals and companies who are considering participating in demand response programs, energy providers and ISOs interested in offering demand response programs, and consultants and analysts looking for detailed information on demand response technology, applications, and participants. The report offers a look at the current Demand Response environment in the energy industry by: defining what demand response programs are; detailing the evolution of program types over the last 30 years; discussing the key drivers of current initiatives; identifying barriers and keys to success for the programs; discussing the argument against subsidization of demand response; describing the different types of programs that exist including:direct load control, interruptible load, curtailable load, time-of-use, real time pricing, and demand bidding/buyback; providing examples of the different types of programs; examining the enablers of demand response programs; and, providing a look at major demand response programs.

NONE

2007-10-15T23:59:59.000Z

489

Addressing Energy Demand through Demand Response: International Experiences and Practices  

E-Print Network (OSTI)

2007 EMCS EPACT ERCOT FCM FERC FRCC demand side managementEnergy Regulatory Commission (FERC). EPAct began the processin wholesale markets, which FERC Order 888 furthered by

Shen, Bo

2013-01-01T23:59:59.000Z

490

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.

491

DOE Releases New Analysis Showing Significant Advances in Electric Vehicle  

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

New Analysis Showing Significant Advances in Electric New Analysis Showing Significant Advances in Electric Vehicle Deployment DOE Releases New Analysis Showing Significant Advances in Electric Vehicle Deployment February 8, 2011 - 12:00am Addthis WASHINGTON - The U.S. Department of Energy today released One Million Electric Vehicles by 2015 (pdf - 220 kb), an analysis of advances in electric vehicle deployment and progress to date in meeting President Obama's goal of putting one million electric vehicles on the road by 2015. The analysis shows that while the goal is ambitious, it is also achievable based on steps already taken as part of the Recovery Act and additional policy initiatives proposed by President Obama -- including improvements to existing consumer tax credits, programs to help cities prepare for the growing demand for electric vehicles, and strong support

492

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 |...

493

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 |...

494

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

495

Fleet vehicles in the Unites States: composition, operating characteristics, and fueling practices  

DOE Green Energy (OSTI)

As fleets become a larger proportion of the new vehicle population on the road, they have more influence on the characteristics of the total US motor vehicle population. One of the characteristics which fleets are expected to have the most influence on is the overall vehicle fuel economy. In addition, because of the relatively large market share and the high turnover rate of fleet vehicles, fleets have been considered as a useful initial market for alternative fuel vehicles. In order to analyze fleet market potential and likely market penetration of alternative fuel vehicles and to infrastructure requirements for successful operations of these vehicles in the future, information on fleet sizes and composition, fleet vehicle operating characteristics (such as daily/annual miles of travel), fuel efficiency, and refueling practices, is essential. The purpose of this report is to gather and summarize information from the latest data sources available pertaining to fleet vehicles in the US This report presents fleet vehicle data on composition, operating characteristics, and fueling practices. The questions these data are intended to address include: (1) How are fleet vehicles operated (2) Where are they located and (3) What are their usual fueling practices Since a limited number of alternative fuel fleet vehicles are already in use, data on these vehicles are also included in this report. 17 refs.

Miaou, S.P.; Hu, P.S. (Oak Ridge National Lab., TN (United States)); Young, J.R. (Tennessee Univ., Knoxville, TN (United States))

1992-05-01T23:59:59.000Z

496

Fleet vehicles in the Unites States: composition, operating characteristics, and fueling practices  

DOE Green Energy (OSTI)

As fleets become a larger proportion of the new vehicle population on the road, they have more influence on the characteristics of the total US motor vehicle population. One of the characteristics which fleets are expected to have the most influence on is the overall vehicle fuel economy. In addition, because of the relatively large market share and the high turnover rate of fleet vehicles, fleets have been considered as a useful initial market for alternative fuel vehicles. In order to analyze fleet market potential and likely market penetration of alternative fuel vehicles and to infrastructure requirements for successful operations of these vehicles in the future, information on fleet sizes and composition, fleet vehicle operating characteristics (such as daily/annual miles of travel), fuel efficiency, and refueling practices, is essential. The purpose of this report is to gather and summarize information from the latest data sources available pertaining to fleet vehicles in the US This report presents fleet vehicle data on composition, operating characteristics, and fueling practices. The questions these data are intended to address include: (1) How are fleet vehicles operated? (2) Where are they located? and (3) What are their usual fueling practices? Since a limited number of alternative fuel fleet vehicles are already in use, data on these vehicles are also included in this report. 17 refs.

Miaou, S.P.; Hu, P.S. [Oak Ridge National Lab., TN (United States); Young, J.R. [Tennessee Univ., Knoxville, TN (United States)

1992-05-01T23:59:59.000Z

497

Responding to traveling patients' seasonal demands for health care services in the Veterans Health Administration  

E-Print Network (OSTI)

The Veterans Health Administration (VHA) provides care to over eight million Veterans and operates over 1,700 sites of care distributed across twenty-one regional networks in the United States. Health care providers within ...

Al-Haque, Shahed

2013-01-01T23:59:59.000Z

498

A model for forecasting future air travel demand on the North Atlantic  

E-Print Network (OSTI)

Introduction: One of the key problems in the analysis and planning of any transport properties and facilities is estimating the future volume of traffic that may be expected to use these properties and facilities. Estimates ...

Taneja, Nawal K.

1971-01-01T23:59:59.000Z

499

The myth of the single mode man : how the mobility pass better meets actual travel demand  

E-Print Network (OSTI)

The goal of this thesis is to investigate how employer transportation subsidy programs can result in more sustainable outcomes. Cities are growth machines that increasingly seek to mitigate the effects of that growth caused ...

Block-Schachter, David

2009-01-01T23:59:59.000Z

500

EIA - Appendix B: Estimation Methodologies of Household Vehicles Energy  

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

If you have trouble viewing this page, contact the National Energy Informaiton Center at (202) 586-8800. Return to Energy Information Administration Home Page If you have trouble viewing this page, contact the National Energy Informaiton Center at (202) 586-8800. Return to Energy Information Administration Home Page EIA Home > Transportation Home Page > Appendix B Estimation MethodologiesIntroduction Appendix B Estimation Methodologies Introduction Statistics concerning vehicle miles traveled (VMT), vehicle fuel efficiency (given in terms of miles per gallon (MPG)), vehicle fuel consumption, and vehicle fuel expenditures are presented in this report. The methodology used to estimate these statistics relied on data from the 1993 Residential Energy Consumption Survey (RECS), the 1994 Residential Transportation Energy Consumption Survey (RTECS), the U.S. Environmental Protection Agency (EPA) fuel efficiency test results, the U.S. Bureau of Labor Statistics (BLS) retail pump price series, and the Lundberg Survey, Inc., price series for 1994.