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


1

A Statistical Model of Vehicle Emissions and Fuel Consumption  

E-Print Network (OSTI)

A number of vehicle emission models are overly simple, such as static speed-dependent models widely used in

Cappiello, Alessandra

2002-09-17T23:59:59.000Z

2

Modelling vehicle emissions from an urban air-quality perspective:testing vehicle emissions interdependencies.  

E-Print Network (OSTI)

??Abstract This thesis employs a statistical regression method to estimate models for testing the hypothesis of the thesis of vehicle emissions interdependencies. The thesis at… (more)

Dabbas, Wafa M

2010-01-01T23:59:59.000Z

3

Emissions Modeling for Electric Vehicles: Progress Report  

Science Conference Proceedings (OSTI)

There has been considerable debate and numerous publications comparing the emissions from alternative fuel vehicles with those of internal combustion engine vehicles. Considering the highly competitive nature of the automotive industry, the size of the automotive fuels markets, and intense regulatory scrutiny of emissions, there is no easy method of establishing agreement on all of the analytical factors involved in emissions analysis from vehicles. However, agreement on many of the factual parameters sh...

1999-12-09T23:59:59.000Z

4

MOBILE6 Vehicle Emission Modeling Software | Open Energy Information  

Open Energy Info (EERE)

MOBILE6 Vehicle Emission Modeling Software MOBILE6 Vehicle Emission Modeling Software Jump to: navigation, search Tool Summary Name: MOBILE6 Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Transportation Topics: GHG inventory Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.epa.gov/oms/m6.htm Cost: Free References: http://www.epa.gov/oms/m6.htm MOBILE6 is an emission factor model for predicting gram per mile emissions of Hydrocarbons (HC), Carbon Monoxide (CO), Nitrogen Oxides (NOx), Carbon Dioxide (CO2), Particulate Matter (PM), and toxics from cars, trucks, and motorcycles under various conditions. MOBILE6 is an emission factor model for predicting gram per mile emissions of Hydrocarbons (HC), Carbon Monoxide (CO), Nitrogen Oxides (NOx), Carbon

5

Measuring and Modeling Emissions from Extremely Low-Emitting Vehicles  

E-Print Network (OSTI)

1997. “Analysis of modal emissions from diverse in-useof a Comprehensive Modal Emissions Model”. Final reportof a Comprehensive Modal Emissions Model: Operating Under

Barth, M; Collins, J F; Scora, G; Davis, N; Norbeck, J N

2006-01-01T23:59:59.000Z

6

Measuring and Modeling Emissions from Extremely Low Emitting Vehicles  

E-Print Network (OSTI)

1997. “Analysis of modal emissions from diverse in-useof a Comprehensive Modal Emissions Model”. Final reportof a Comprehensive Modal Emissions Model: Operating Under

Barth, M; Collins, J F; Scora, G; Davis, N; Norbeck, J M

2006-01-01T23:59:59.000Z

7

Measuring and Modeling Emissions from Extremely Low Emitting Vehicles  

E-Print Network (OSTI)

last several years, vehicle manufacturers have started tospecifications by the vehicle manufacturers, and are readilymanufacturers have been producing gasoline-powered vehicles

Barth, M; Collins, J F; Scora, G; Davis, N; Norbeck, J M

2006-01-01T23:59:59.000Z

8

Measuring and Modeling Emissions from Extremely Low-Emitting Vehicles  

E-Print Network (OSTI)

last several years, vehicle manufacturers have started tospecifications by the vehicle manufacturers, and are readilymanufacturers have been producing gasoline-powered vehicles

Barth, M; Collins, J F; Scora, G; Davis, N; Norbeck, J N

2006-01-01T23:59:59.000Z

9

Designing On-Road Vehicle Test Programs for the Development of Effective Vehicle Emission Models  

E-Print Network (OSTI)

HC Reduction in S.E. (%) NOx Reduction in S.E. (%) Table 2:c) HC, d) NOx Younglove/Scora/Barth VSP Bin CO2 Reduction inNOx Table 1: Vehicle Specific Power bins used in preliminary MOVES model (4). Table 2: Percent reduction

Younglove, T; Scora, G; Barth, M

2005-01-01T23:59:59.000Z

10

Plug-In Hybrid Electric Vehicle Environmental Analysis--Electric Sector Modeling of CO2 Emissions  

Science Conference Proceedings (OSTI)

This Electric Power Research Institute has initiated a comprehensive collaborative study to quantify the environmental impacts of electric transportation, specifically with respect to plug-in hybrid electric vehicles (PHEVs). This technical update describes the adaptation of the EPRI electric sector model for the analysis of CO2 emissions from the charging on PHEVs on the electrical grid. A "PHEV Base Case" was developed using baseline assumptions from the "EPRI Base Case," a nominal set of key assumptio...

2006-11-29T23:59:59.000Z

11

Alternative Fuels Data Center: Low Emission Vehicle Requirement  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle Requirement to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle Requirement on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle Requirement on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle Requirement on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle Requirement on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle Requirement on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle Requirement on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle Requirement All Model Year (MY) 2007 and later heavy-duty vehicles sold, leased, or

12

Probabilistic evaluation of mobile source air pollution: Volume 1 -- Probabilistic modeling of exhaust emissions from light duty gasoline vehicles. Final report, 1 August 1994--31 May 1997  

Science Conference Proceedings (OSTI)

Emission factors for light duty gasoline vehicles (LDGV) are typically developed based upon laboratory testing of vehicles for prescribed driving cycles. In this project, selected LDGV data sets and modeling assumptions used to develop Mobile5a were revisited. Probabilistic estimates of the inter-vehicle variability in emissions and the uncertainty in fleet average emissions for selected vehicle types and driving cycles were made. Case studies focused upon probabilistic analysis of base emission rate and speed correction estimates used in Mobile5a for throttle body and port fuel injected vehicles. Based upon inter-vehicle variability in the data sets and a probabilistic model in which the standard error terms of regression models employed in Mobile5a are also considered, the uncertainty was estimated for average emission factors for the selected fleets of light duty gasoline vehicles. The 90 percent confidence interval for the average emission factor varied in range with pollutant and driving cycle.

Frey, H.C.; Kini, M.D.

1997-12-01T23:59:59.000Z

13

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards California's LEV II exhaust emissions standards apply to Model Year (MY)

14

Introduction to the OR Forum Article: “Modeling the Impacts of Electricity Tariffs on Plug-in Hybrid Electric Vehicle Charging, Costs, and Emissions” by Ramteen Sioshansi  

Science Conference Proceedings (OSTI)

Comment on “Modeling the Impacts of Electricity Tariffs on Plug-In Hybrid Electric Vehicle Charging, Costs, and Emissions” by Ramteen Sieshansi. Keywords: energy, environment, plug-in hybrid electric vehicles, pricing

Edieal J. Pinker

2012-05-01T23:59:59.000Z

15

Development of Fuzzy Logic and Neural Network Control and Advanced Emissions Modeling for Parallel Hybrid Vehicles  

DOE Green Energy (OSTI)

This report describes the development of new control strategies and models for Hybrid Electric Vehicles (HEV) by the Ohio State University. The report indicates results from models created in NREL's ADvanced VehIcle SimulatOR (ADVISOR 3.2), and results of a scalable IC Engine model, called in Willan's Line technique, implemented in ADVISOR 3.2.

Rajagopalan, A.; Washington, G.; Rizzoni, G.; Guezennec, Y.

2003-12-01T23:59:59.000Z

16

Alternative Fuels Data Center: Ethanol Vehicle Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

17

Just the Basics: Vehicle Emissions  

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

Are Exhaust Are Exhaust Emissions? In most heavily settled areas of the U.S., the personal automobile is the single greatest producer of harmful vehicle exhaust emissions. Exhaust emissions are generated by the fuel-air mixture burning in internal combus- tion engines, both gasoline-powered and diesel-powered. Emissions are also produced by fuel evaporation within the vehicle when it is stopped, and again during fueling. The constituents of car (gasoline and diesel) and truck (diesel) emissions vary depending on fuel type and indi- vidual vehicle operating characteris- tics. The bulk of vehicular emissions are composed of water vapor, carbon dioxide, nitrogen, and oxygen (in unconsumed air). There are other pollutants, such as carbon monoxide, nitrogen oxides, unburned fuel, and

18

Alternative Fuels Data Center: Biodiesel Vehicle Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Biodiesel Vehicle Biodiesel Vehicle Emissions to someone by E-mail Share Alternative Fuels Data Center: Biodiesel Vehicle Emissions on Facebook Tweet about Alternative Fuels Data Center: Biodiesel Vehicle Emissions on Twitter Bookmark Alternative Fuels Data Center: Biodiesel Vehicle Emissions on Google Bookmark Alternative Fuels Data Center: Biodiesel Vehicle Emissions on Delicious Rank Alternative Fuels Data Center: Biodiesel Vehicle Emissions on Digg Find More places to share Alternative Fuels Data Center: Biodiesel Vehicle Emissions on AddThis.com... More in this section... Biodiesel Basics Benefits & Considerations Stations Vehicles Availability Emissions Laws & Incentives Biodiesel Vehicle Emissions When used as a vehicle fuel, biodiesel offers some tailpipe and considerable greenhouse gas (GHG) emissions benefits over conventional

19

Alternative Fuels Data Center: Propane Vehicle Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

20

Vehicle Emission Basics | Department of Energy  

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

Vehicle Emission Basics Vehicle Emission Basics Vehicle Emission Basics November 22, 2013 - 2:07pm Addthis Vehicle emissions are the gases emitted by the tailpipes of vehicles powered by internal combustion engines, which include gasoline, diesel, natural gas, and propane vehicles. Vehicle emissions are composed of varying amounts of: water vapor carbon dioxide (CO2) nitrogen oxygen pollutants such as: carbon monoxide (CO) nitrogen oxides (NOx) unburned hydrocarbons (UHCs) volatile organic compounds (VOCs) particulate matter (PM) A number of factors determine the composition of emissions, including the vehicle's fuel, the engine's technology, the vehicle's exhaust aftertreatment system, and how the vehicle operates. Emissions are also produced by fuel evaporation during fueling or even when vehicles are

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

OR Forum---Modeling the Impacts of Electricity Tariffs on Plug-In Hybrid Electric Vehicle Charging, Costs, and Emissions  

Science Conference Proceedings (OSTI)

Plug-in hybrid electric vehicles (PHEVs) have been touted as a transportation technology with lower fuel costs and emissions impacts than other vehicle types. Most analyses of PHEVs assume that the power system operator can either directly or indirectly ... Keywords: environment, plug-in hybrid electric vehicles, pricing

Ramteen Sioshansi

2012-05-01T23:59:59.000Z

22

Electric Vehicles, Hybrid Vehicles, and the California Zero Emission...  

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

Electric Vehicles, Hybrid Vehicles, and the California Zero Emission Mandate Speaker(s): Ron Chestnut Date: October 26, 2000 - 12:00pm Location: Bldg. 90 The California Air...

23

Motor Vehicle Emission Simulator (MOVES) | Open Energy Information  

Open Energy Info (EERE)

Motor Vehicle Emission Simulator (MOVES) Motor Vehicle Emission Simulator (MOVES) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Motor Vehicle Emission Simulator (MOVES) Agency/Company /Organization: United States Environmental Protection Agency Sector: Energy Focus Area: Transportation Topics: GHG inventory Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.epa.gov/otaq/models/moves/index.htm Cost: Free Equivalent URI: cleanenergysolutions.org/content/motor-vehicle-emission-simulator-move Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration & Implementation References: http://www.epa.gov/otaq/models/moves/index.htm Intended to replace MOBILE6, NONROAD, and NMIM. Estimates energy consumption emissions from highway vehicles from 1999-2050 and accounts for

24

Trends in On-Road Vehicle Emissions of Ammonia  

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

Trends in On-Road Vehicle Emissions of Ammonia Trends in On-Road Vehicle Emissions of Ammonia Title Trends in On-Road Vehicle Emissions of Ammonia Publication Type Journal Article Year of Publication 2008 Authors Kean, Andrew J., David Littlejohn, George Ban-Weiss, Robert A. Harley, Thomas W. Kirchstetter, and Melissa M. Lunden Journal Atmospheric Environment Abstract Motor vehicle emissions of ammonia have been measured at a California highway tunnel in the San Francisco Bay area. Between 1999 and 2006, light-duty vehicle ammonia emissions decreased by 38 ± 6%, from 640 ± 40 to 400 ± 20 mg kg-1. High time resolution measurements of ammonia made in summer 2001 at the same location indicate a minimum in ammonia emissions correlated with slower-speed driving conditions. Variations in ammonia emission rates track changes in carbon monoxide more closely than changes in nitrogen oxides, especially during later evening hours when traffic speeds are highest. Analysis of remote sensing data of Burgard et al. (Environ Sci. Technol. 2006, 40, 7018-7022) indicates relationships between ammonia and vehicle model year, nitrogen oxides, and carbon monoxide. Ammonia emission rates from diesel trucks were difficult to measure in the tunnel setting due to the large contribution to ammonia concentrations in a mixed-traffic bore that were assigned to light-duty vehicle emissions. Nevertheless, it is clear that heavy-duty diesel trucks are a minor source of ammonia emissions compared to light-duty gasoline vehicles.

25

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

26

US vehicle emissions: Creating a common currency to avoid model comparison problems  

E-Print Network (OSTI)

III Computer programme to calculate emissions from roadtransport: methodology and emission factors (version 2.1).to compare air pollution emission estimates produced by di?

Kear, Tom P.; Eisinger, Douglas; Niemeier, Debbie A.; Brady, Mike

2008-01-01T23:59:59.000Z

27

DOE Hydrogen Analysis Repository: MOVES (Motor Vehicle Emission Simulator)  

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

MOVES (Motor Vehicle Emission Simulator) MOVES (Motor Vehicle Emission Simulator) Project Summary Full Title: MOVES (Motor Vehicle Emission Simulator) Previous Title(s): New Generation Mobile Source Emissions Model (NGM) Project ID: 179 Principal Investigator: Margo Oge Brief Description: Estimates emissions for on-road and nonroad sources, multiple pollutants, fine-scale analysis to national inventory estimation. Keywords: Vehicle; transportation; emissions Purpose Estimate emissions for on-road and nonroad sources, cover a broad range of pollutants, and allow multiple scale analysis, from fine-scale analysis to national inventory estimation. When fully implemented MOVES will serve as the replacement for MOBILE. Performer Principal Investigator: Margo Oge Organization: U.S. Environmental Protection Agency

28

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

DOE Green Energy (OSTI)

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

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

2004-02-19T23:59:59.000Z

29

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

change to “Ethanol, E85 corn, C0/NG50/B50”, where the “B50”on five fuels: RFG, M85, E85, LPG, and CNG. The vehicle wasPM E85 CNG LPG “Off-cycle” emissions,

Delucchi, Mark

2003-01-01T23:59:59.000Z

30

MOtor Vehicle Emission Simulator (MOVES) | Open Energy Information  

Open Energy Info (EERE)

MOtor Vehicle Emission Simulator (MOVES) MOtor Vehicle Emission Simulator (MOVES) Jump to: navigation, search Tool Summary Name: MOtor Vehicle Emission Simulator (MOVES) Agency/Company /Organization: U.S. Environmental Protection Agency Focus Area: GHG Inventory Development Topics: Analysis Tools Website: www.epa.gov/otaq/models/moves/index.htm This emission modeling system estimates emissions from mobile sources, including cars, trucks, and motorcycles. The modeling tool covers a broad range of pollutants and allows multiple scale analysis. How to Use This Tool This tool is most helpful when using these strategies: Shift - Change to low-carbon modes Improve - Enhance infrastructure & policies Learn more about the avoid, shift, improve framework for limiting air pollutants and greenhouse gas emissions.

31

Carbonyl Emissions from Gasoline and Diesel Motor Vehicles  

E-Print Network (OSTI)

Carbonyl compounds present in motor vehicle exhaust, rangingfrom gasoline and diesel motor vehicles. Environ. Sci. Tech.composition and toxicity of motor vehicle emission samples.

Jakober, Chris A.

2008-01-01T23:59:59.000Z

32

Alternative Fuels Data Center: Vehicle Emissions Reduction Grants -  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

33

NREL: Vehicle Ancillary Loads Reduction - Air Conditioning and Emissions  

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

Conditioning and Emissions Conditioning and Emissions Air conditioning and indirect emissions go together in the sense that when a vehicle's air conditioning system is in use, fuel economy declines. When more petroleum fuel is burned, more pollution and greenhouse gases are emitted. An additional, "direct" source of greenhouse gas emissions is the refrigerant used in air conditioning. Called HFC-134a, this pressurized gas tends to seep through tiny openings and escapes into the atmosphere. It can also escape during routine service procedures such as system recharging. NREL's Vehicle Ancillary Loads Reduction team applied its vehicle systems modeling expertise in a study to predict fuel consumption and indirect emissions resulting from the use of vehicle air conditioning. The analysis

34

Impact of Heavy Duty Vehicle Emissions Reductions on Global Climate  

Science Conference Proceedings (OSTI)

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

Calvin, Katherine V.; Thomson, Allison M.

2010-08-01T23:59:59.000Z

35

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards All new passenger vehicles, light-duty trucks, and medium-duty vehicles

36

Vehicle Technologies Office: Fact #686: August 1, 2011 Emissions and Energy  

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

6: August 1, 6: August 1, 2011 Emissions and Energy Use Model - GREET to someone by E-mail Share Vehicle Technologies Office: Fact #686: August 1, 2011 Emissions and Energy Use Model - GREET on Facebook Tweet about Vehicle Technologies Office: Fact #686: August 1, 2011 Emissions and Energy Use Model - GREET on Twitter Bookmark Vehicle Technologies Office: Fact #686: August 1, 2011 Emissions and Energy Use Model - GREET on Google Bookmark Vehicle Technologies Office: Fact #686: August 1, 2011 Emissions and Energy Use Model - GREET on Delicious Rank Vehicle Technologies Office: Fact #686: August 1, 2011 Emissions and Energy Use Model - GREET on Digg Find More places to share Vehicle Technologies Office: Fact #686: August 1, 2011 Emissions and Energy Use Model - GREET on AddThis.com...

37

Alternative Fuels Data Center: Alternative Fuel Vehicle Retrofit Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Alternative Fuel Alternative Fuel Vehicle Retrofit Emissions Inspection Process to someone by E-mail Share Alternative Fuels Data Center: Alternative Fuel Vehicle Retrofit Emissions Inspection Process on Facebook Tweet about Alternative Fuels Data Center: Alternative Fuel Vehicle Retrofit Emissions Inspection Process on Twitter Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle Retrofit Emissions Inspection Process on Google Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle Retrofit Emissions Inspection Process on Delicious Rank Alternative Fuels Data Center: Alternative Fuel Vehicle Retrofit Emissions Inspection Process on Digg Find More places to share Alternative Fuels Data Center: Alternative Fuel Vehicle Retrofit Emissions Inspection Process on AddThis.com...

38

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards The Connecticut Low Emission Vehicles II Program requires that all new

39

Alternative Fuels Data Center: Low Emission Vehicle Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle Standards New vehicles sold or offered for sale in Vermont must meet California emissions and compliance requirements in Title 13 of the California Code of

40

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards New Jersey has adopted California motor vehicle emissions standards as set

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

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards Washington adopted the California motor vehicle emission standards in Title

42

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards Maryland has adopted the California motor vehicle emission standards in

43

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards Maine has adopted the California motor vehicle emissions standards

44

Emissions from ethanol and LPG fueled vehicles  

DOE Green Energy (OSTI)

This paper addresses the environmental concerns of using neat ethanol and liquified petroleum gas (LPG) as transportation fuels in the US Low-level blends of ethanol (10%) with gasoline have been used as fuels in the US for more than a decade, but neat ethanol (85% or more) has only been used extensively in Brazil. LPG, which consists mostly of propane, is already used extensively as a vehicle fuel in the US, but its use has been limited primarily to converted fleet vehicles. Increasing US interest in alternative fuels has raised the possibility of introducing neat ethanol vehicles into the market and expanding the number of LPG vehicles. Use of such vehicles and increased production and consumption of fuel ethanol and LPG will undoubtedly have environmental impacts. If the impacts are determined to be severe, they could act as barriers to the introduction of neat ethanol and LPG vehicles. Environmental concerns include exhaust and evaporative emissions and their impact on ozone formation and global warming, toxic emissions from fuel combustion and evaporation, and agricultural emissions from production of ethanol. The paper is not intended to be judgmental regarding the overall attractiveness of ethanol or LPG compared to other transportation fuels. The environmental concerns are reviewed and summarized, but the only conclusion reached is that there is no single concern that is likely to prevent the introduction of neat ethanol fueled vehicles or the increase in LPG fueled vehicles.

Pitstick, M.E.

1992-12-31T23:59:59.000Z

45

Emissions from ethanol and LPG fueled vehicles  

DOE Green Energy (OSTI)

This paper addresses the environmental concerns of using neat ethanol and liquified petroleum gas (LPG) as transportation fuels in the US Low-level blends of ethanol (10%) with gasoline have been used as fuels in the US for more than a decade, but neat ethanol (85% or more) has only been used extensively in Brazil. LPG, which consists mostly of propane, is already used extensively as a vehicle fuel in the US, but its use has been limited primarily to converted fleet vehicles. Increasing US interest in alternative fuels has raised the possibility of introducing neat ethanol vehicles into the market and expanding the number of LPG vehicles. Use of such vehicles and increased production and consumption of fuel ethanol and LPG will undoubtedly have environmental impacts. If the impacts are determined to be severe, they could act as barriers to the introduction of neat ethanol and LPG vehicles. Environmental concerns include exhaust and evaporative emissions and their impact on ozone formation and global warming, toxic emissions from fuel combustion and evaporation, and agricultural emissions from production of ethanol. The paper is not intended to be judgmental regarding the overall attractiveness of ethanol or LPG compared to other transportation fuels. The environmental concerns are reviewed and summarized, but the only conclusion reached is that there is no single concern that is likely to prevent the introduction of neat ethanol fueled vehicles or the increase in LPG fueled vehicles.

Pitstick, M.E.

1992-01-01T23:59:59.000Z

46

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards The Pennsylvania Clean Vehicles Program requires that all new passenger

47

Trends in on-road vehicle emissions of ammonia  

SciTech Connect

Motor vehicle emissions of ammonia have been measured at a California highway tunnel in the San Francisco Bay area. Between 1999 and 2006, light-duty vehicle ammonia emissions decreased by 38 {+-} 6%, from 640 {+-} 40 to 400 {+-} 20 mg kg{sup -1}. High time resolution measurements of ammonia made in summer 2001 at the same location indicate a minimum in ammonia emissions correlated with slower-speed driving conditions. Variations in ammonia emission rates track changes in carbon monoxide more closely than changes in nitrogen oxides, especially during later evening hours when traffic speeds are highest. Analysis of remote sensing data of Burgard et al. (Environ Sci. Technol. 2006, 40, 7018-7022) indicates relationships between ammonia and vehicle model year, nitrogen oxides, and carbon monoxide. Ammonia emission rates from diesel trucks were difficult to measure in the tunnel setting due to the large contribution to ammonia concentrations in a mixed-traffic bore that were assigned to light-duty vehicle emissions. Nevertheless, it is clear that heavy-duty diesel trucks are a minor source of ammonia emissions compared to light-duty gasoline vehicles.

Kean, A.J.; Littlejohn, D.; Ban-Weiss, G.A.; Harley, R.A.; Kirchstetter, T.W.; Lunden, M. M.

2008-07-15T23:59:59.000Z

48

Total energy cycle emissions and energy use of electric vehicles  

DOE Green Energy (OSTI)

The purpose of this project is to provide estimates of changes in life cycle energy use and emissions that would occur with the introduction of EVs. The topics covered include a synopsis of the methodology used in the project, stages in the EV and conventional vehicle energy cycles, characterization of EVs by type and driving cycle, load analysis and capacity of the electric utility, analysis of the materials used for vehicle and battery, description of the total energy cycle analysis model, energy cycle primary energy resource consumption, greenhouse gas emissions, energy cycle emissions, and conclusions.

Singh, M.

1997-12-31T23:59:59.000Z

49

Vehicle Technologies Office: 2004 Diesel Engine Emissions Reduction (DEER)  

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

Diesel Engine Diesel Engine Emissions Reduction (DEER) Conference Presentations to someone by E-mail Share Vehicle Technologies Office: 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentations on Facebook Tweet about Vehicle Technologies Office: 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentations on Twitter Bookmark Vehicle Technologies Office: 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentations on Google Bookmark Vehicle Technologies Office: 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentations on Delicious Rank Vehicle Technologies Office: 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentations on Digg Find More places to share Vehicle Technologies Office: 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentations on

50

NREL: Vehicle Ancillary Loads Reduction - Integrated Modeling  

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

Integrated Modeling Integrated Modeling NREL's Vehicle Ancillary Loads Reduction (VALR) team predicts the impact of advanced vehicle cooling technologies before testing by using an integrated modeling process. Evaluating the heat load on a vehicle under real world conditions is a difficult task. An accepted method to evaluate passenger compartment airflow and heat transfer is computational fluid dynamics. (CFD). Combining analytical models with CFD provides a powerful tool to assist industry both on current vehicles and on future design studies. Flow chart showing the vehicle integrated modeling process which considers solar radiation, air conditioning, and vehicles with CAD, glazing, cabin thermal/fluid, and thermal comfort modeling tools. Results are provided for fuel economy, tailpipe emissions and occupant thermal comfort.

51

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards Under the Oregon LEV Program, all new passenger cars, light-duty trucks,

52

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards The Rhode Island Department of Environmental Management has adopted

53

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Tax Credit  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Tax Credit to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Tax Credit on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Tax Credit on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Tax Credit on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Tax Credit on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Tax Credit on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Tax Credit on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Zero Emission Vehicle (ZEV) Tax Credit An income tax credit is available to individuals who purchase or lease a

54

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards The Massachusetts LEV Program requires all new passenger cars and

55

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards Under the Clean Cars Act of 2008, the Mayor of the District of Columbia

56

Alternative Fuels Data Center: Zero Emissions Vehicle (ZEV) Tax Exemption  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

57

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Promotion Plan  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Promotion Plan to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Promotion Plan on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Promotion Plan on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Promotion Plan on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Promotion Plan on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Promotion Plan on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Promotion Plan on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Zero Emission Vehicle (ZEV) Promotion Plan

58

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle (LEV) Standards to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on Digg Find More places to share Alternative Fuels Data Center: Low Emission Vehicle (LEV) Standards on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Low Emission Vehicle (LEV) Standards Any new light-duty passenger car, light-duty truck, or medium-duty

59

Light-Duty Vehicle Program Emissions Results (Interim Results...  

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

Procedure (FTP) emissions testing of flexible- fuel methanol, ethanol, and dedicated CNG vehicles from the U. S. Federal Fleet was completed in 1995. The vehicles tested in the...

60

Emission control cost-effectiveness of alternative-fuel vehicles  

DOE Green Energy (OSTI)

Although various legislation and regulations have been adopted to promote the use of alternative-fuel vehicles for curbing urban air pollution problems, there is a lack of systematic comparisons of emission control cost-effectiveness among various alternative-fuel vehicle types. In this paper, life-cycle emission reductions and life-cycle costs were estimated for passenger cars fueled with methanol, ethanol, liquefied petroleum gas, compressed natural gas, and electricity. Vehicle emission estimates included both exhaust and evaporative emissions for air pollutants of hydrocarbon, carbon monoxide, nitrogen oxides, and air-toxic pollutants of benzene, formaldehyde, 1,3-butadiene, and acetaldehyde. Vehicle life-cycle cost estimates accounted for vehicle purchase prices, vehicle life, fuel costs, and vehicle maintenance costs. Emission control cost-effectiveness presented in dollars per ton of emission reduction was calculated for each alternative-fuel vehicle types from the estimated vehicle life-cycle emission reductions and costs. Among various alternative-fuel vehicle types, compressed natural gas vehicles are the most cost-effective vehicle type in controlling vehicle emissions. Dedicated methanol vehicles are the next most cost-effective vehicle type. The cost-effectiveness of electric vehicles depends on improvements in electric vehicle battery technology. With low-cost, high-performance batteries, electric vehicles are more cost-effective than methanol, ethanol, and liquified petroleum gas vehicles.

Wang, Q. [Argonne National Lab., IL (United States); Sperling, D.; Olmstead, J. [California Univ., Davis, CA (United States). Inst. of Transportation Studies

1993-06-14T23:59:59.000Z

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

Alternative Fuels Data Center: Natural Gas Vehicle Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Emissions to someone by E-mail Emissions to someone by E-mail Share Alternative Fuels Data Center: Natural Gas Vehicle Emissions on Facebook Tweet about Alternative Fuels Data Center: Natural Gas Vehicle Emissions on Twitter Bookmark Alternative Fuels Data Center: Natural Gas Vehicle Emissions on Google Bookmark Alternative Fuels Data Center: Natural Gas Vehicle Emissions on Delicious Rank Alternative Fuels Data Center: Natural Gas Vehicle Emissions on Digg Find More places to share Alternative Fuels Data Center: Natural Gas Vehicle Emissions on AddThis.com... More in this section... Natural Gas Basics Benefits & Considerations Stations Vehicles Availability Conversions Emissions Maintenance & Safety Laws & Incentives Natural Gas Vehicle Emissions Natural gas burns cleaner than conventional gasoline or diesel due to its

62

Vehicle Technologies Office: Modeling, Testing and Analysis  

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

Modeling, Testing and Analysis Modeling, Testing and Analysis The Vehicle Technologies Office's robust portfolio is supported by modeling, testing, and analysis. This work complements the research on batteries, power electronics, and materials, helping researchers integrate these components and ensure the whole vehicle meets consumer and commercial needs. Modeling allows researchers to build "virtual vehicles" that simulate fuel economy, emissions and performance of a potential vehicle. The Office has supported the development of several software-based analytic tools that researchers can use or license. Integration and Validation allows researchers to test physical component and subsystem prototypes as if they are in a real vehicle. Laboratory and Fleet Testing provides data on PEVs through both dynamometer and on-the-road testing. Researchers use the data to benchmark current vehicles, as well as validate the accuracy of software models.

63

VISION Model: Description of Model Used to Estimate the Impact of Highway Vehicle Technologies and Fuels on Energy Use and Carbon Emissions to 2050  

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

ESD/04-1 ESD/04-1 VISION Model: Description of Model Used to Estimate the Impact of Highway Vehicle Technologies and Fuels on Energy Use and Carbon Emissions to 2050 Center for Transportation Research Argonne National Laboratory Operated by The University of Chicago, under Contract W-31-109-Eng-38, for the United States Department of Energy Argonne National Laboratory, a U.S. Department of Energy Office of Science laboratory, is operated by The University of Chicago under contract W-31-109-Eng-38. DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor The University of Chicago, nor any of their employees or officers, makes any warranty, express or implied, or assumes

64

IMPACTT5A model : enhancements and modifications since December 1994 - with special reference to the effect of tripled-fuel-economy vehicles on fuel-cycle energy and emissions.  

DOE Green Energy (OSTI)

Version 5A of the Integrated Market Penetration and Anticipated Cost of Transportation Technologies (IMPACTT5A) model is a spreadsheet-based set of algorithms that calculates the effects of advanced-technology vehicles on baseline fuel use and emissions. Outputs of this Argonne National Laboratory-developed model include estimates of (1) energy use and emissions attributable to conventional-technology vehicles under a baseline scenario and (2) energy use and emissions attributable to advanced- and conventional-technology vehicles under an alternative market-penetration scenario. Enhancements to IMPACIT made after its initial documentation in December 1994 have enabled it to deal with a wide range of fuel and propulsion system technologies included in Argonne's GREET model in a somewhat modified three-phased approach. Vehicle stocks are still projected in the largely unchanged STOCK module. Vehicle-miles traveled, fuel use, and oil displacement by advanced-technology vehicles are projected in an updated USAGE module. Now, both modules can incorporate vehicle efficiency and fuel share profiles consistent with those of the Partnership for a New Generation of Vehicles. Finally, fuel-cycle emissions of carbon monoxide, volatile organic compounds, nitrogen oxides, toxics, and greenhouse gases are computed in the EMISSIONS module via an interface with the GREET model that was developed specifically to perform such calculations. Because of this interface, results are now more broadly informative than were results from earlier versions of IMPACTT.

Mintz, M. M.; Saricks, C. L.

1999-08-28T23:59:59.000Z

65

Alternative Fuel and Advanced Technology Vehicles Pilot Program Emissions  

Open Energy Info (EERE)

Alternative Fuel and Advanced Technology Vehicles Pilot Program Emissions Alternative Fuel and Advanced Technology Vehicles Pilot Program Emissions Benefit Tool Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Alternative Fuel and Advanced Technology Vehicles Pilot Program Emissions Benefit Tool Agency/Company /Organization: Argonne National Laboratory Sector: Energy Focus Area: Transportation Phase: Determine Baseline, Evaluate Options Topics: Co-benefits assessment, GHG inventory Resource Type: Online calculator, Software/modeling tools User Interface: Spreadsheet Complexity/Ease of Use: Moderate Website: www.transportation.anl.gov/modeling_simulation/AirCred/index.html

66

Vehicle Technologies Office: Directions in Engine-Efficiency and Emissions  

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

Directions in Directions in Engine-Efficiency and Emissions Research (DEER) Conference to someone by E-mail Share Vehicle Technologies Office: Directions in Engine-Efficiency and Emissions Research (DEER) Conference on Facebook Tweet about Vehicle Technologies Office: Directions in Engine-Efficiency and Emissions Research (DEER) Conference on Twitter Bookmark Vehicle Technologies Office: Directions in Engine-Efficiency and Emissions Research (DEER) Conference on Google Bookmark Vehicle Technologies Office: Directions in Engine-Efficiency and Emissions Research (DEER) Conference on Delicious Rank Vehicle Technologies Office: Directions in Engine-Efficiency and Emissions Research (DEER) Conference on Digg Find More places to share Vehicle Technologies Office: Directions in

67

Alternative Fuels Data Center: Heavy-Duty Vehicle Emissions Reduction  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

68

Hybrid and conventional hydrogen engine vehicles that meet EZEV emissions  

DOE Green Energy (OSTI)

In this paper, a time-dependent engine model is used for predicting hydrogen engine efficiency and emissions. The model uses basic thermodynamic equations for the compression and expansion processes, along with an empirical correlation for heat transfer, to predict engine indicated efficiency. A friction correlation and a supercharger/turbocharger model are then used to calculate brake thermal efficiency. The model is validated with many experimental points obtained in a recent evaluation of a hydrogen research engine. A The validated engine model is then used to calculate fuel economy and emissions for three hydrogen-fueled vehicles: a conventional, a parallel hybrid, and a series hybrid. All vehicles use liquid hydrogen as a fuel. The hybrid vehicles use a flywheel for energy storage. Comparable ultra capacitor or battery energy storage performance would give similar results. This paper analyzes the engine and flywheel sizing requirements for obtaining a desired level of performance. The results indicate that hydrogen lean-burn spark-ignited engines can provide a high fuel economy and Equivalent Zero Emission Vehicle (EZEV) levels in the three vehicle configurations being analyzed.

Aceves, S.M.; Smith, J.R.

1996-12-10T23:59:59.000Z

69

Cooperative Regulation of Emissions Using Plug-in Hybrid Vehicles  

Science Conference Proceedings (OSTI)

We exploit new types of vehicles, such as Plug-in Hybrid Electric Vehicles (PHEVs), to control transport related emissions in urban environments. By appropriately choosing whether single power-split hybrid vehicles should be operated in fully electric ...

A. Schlote, F. Hausler, T. Hecker, A. Bergmann, E. Crisostomi, I. Radusch, R. Shorten

2012-12-01T23:59:59.000Z

70

Vehicle Technologies Office: Emission Control R&D  

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

Emission Control R&D to Emission Control R&D to someone by E-mail Share Vehicle Technologies Office: Emission Control R&D on Facebook Tweet about Vehicle Technologies Office: Emission Control R&D on Twitter Bookmark Vehicle Technologies Office: Emission Control R&D on Google Bookmark Vehicle Technologies Office: Emission Control R&D on Delicious Rank Vehicle Technologies Office: Emission Control R&D on Digg Find More places to share Vehicle Technologies Office: Emission Control R&D on AddThis.com... Just the Basics Hybrid & Vehicle Systems Energy Storage Advanced Power Electronics & Electrical Machines Advanced Combustion Engines Combustion Engines Emission Control Waste Heat Recovery Fuels & Lubricants Materials Technologies Emission Control R&D

71

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Deployment Support to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

72

Alternative Fuels Data Center: Support for Low Emission Vehicles  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Support for Low Support for Low Emission Vehicles to someone by E-mail Share Alternative Fuels Data Center: Support for Low Emission Vehicles on Facebook Tweet about Alternative Fuels Data Center: Support for Low Emission Vehicles on Twitter Bookmark Alternative Fuels Data Center: Support for Low Emission Vehicles on Google Bookmark Alternative Fuels Data Center: Support for Low Emission Vehicles on Delicious Rank Alternative Fuels Data Center: Support for Low Emission Vehicles on Digg Find More places to share Alternative Fuels Data Center: Support for Low Emission Vehicles on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Support for Low Emission Vehicles The New Jersey legislature urges the United States Congress and President

73

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Deployment Support to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

74

Alternative Fuels Data Center: Low Emission Vehicle (LEV) Sales Tax  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

75

Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Vehicle (AFV) Emissions Inspection Exemption to someone by E-mail Vehicle (AFV) Emissions Inspection Exemption to someone by E-mail Share Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Facebook Tweet about Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Twitter Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Google Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Delicious Rank Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Digg Find More places to share Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on AddThis.com... More in this section...

76

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Deployment Support to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

77

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Deployment Support to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

78

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Deployment Support to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

79

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Production  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Production Requirements to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Production Requirements on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Production Requirements on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Production Requirements on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Production Requirements on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Production Requirements on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Production Requirements on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

80

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Deployment Support to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

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

Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Zero Emission Vehicle Zero Emission Vehicle (ZEV) Deployment Support to someone by E-mail Share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Facebook Tweet about Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Twitter Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Google Bookmark Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Delicious Rank Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on Digg Find More places to share Alternative Fuels Data Center: Zero Emission Vehicle (ZEV) Deployment Support on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type

82

Demonstrating Ultra-Low Diesel Vehicle Emissions  

DOE Green Energy (OSTI)

Evaluate performance of near-term exhaust emissions control technologies on a modern diesel vehicle over transient drive cycles; Phase 1: Independent (separate) evaluations of engine-out, OEM catalysts, CDPF, and NOx adsorber (Completed March 2000); Phase 2: Combine NOx adsorber and CDPF to evaluate/demonstrate simultaneous reduction of NOx and PM (Underway--interim results available); Establish potential for these technologies to help CIDI engines meet emission reduction targets; and Investigate short-term effects of fuel sulfur on emissions performance

McGill, R.N.

2000-08-20T23:59:59.000Z

83

Overview of China's Vehicle Emission Control Program: Past Successes...  

Open Energy Info (EERE)

Vehicle Emission Control Program: Past Successes and Future Prospects Focus Area: Propane Topics: Socio-Economic Website: theicct.orgsitesdefaultfilespublications...

84

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

85

Vehicle Technologies Office: 2007 Diesel Engine-Efficiency and Emissions  

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

7 Diesel 7 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations to someone by E-mail Share Vehicle Technologies Office: 2007 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Facebook Tweet about Vehicle Technologies Office: 2007 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Twitter Bookmark Vehicle Technologies Office: 2007 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Google Bookmark Vehicle Technologies Office: 2007 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Delicious Rank Vehicle Technologies Office: 2007 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Digg

86

Vehicle Technologies Office: 2008 Diesel Engine-Efficiency and Emissions  

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

8 Diesel 8 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations to someone by E-mail Share Vehicle Technologies Office: 2008 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Facebook Tweet about Vehicle Technologies Office: 2008 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Twitter Bookmark Vehicle Technologies Office: 2008 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Google Bookmark Vehicle Technologies Office: 2008 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Delicious Rank Vehicle Technologies Office: 2008 Diesel Engine-Efficiency and Emissions Research (DEER) Conference Presentations on Digg

87

On-road remote sensing of vehicle emissions in  

E-Print Network (OSTI)

On-road remote sensing of vehicle emissions in the Auckland Region August 2003 Technical 1877353000 www.arc.govt.nz #12;TP 198 On-Road Remote Sensing of Vehicle Emissions in the Auckland Region #12;Page i TP 198 On-Road Remote Sensing of Vehicle Emissions in the Auckland Region On-road remote sensing

Denver, University of

88

The California Zero-Emission Vehicle Mandate: A Study of the Policy Process, 1990-2004  

E-Print Network (OSTI)

hybrid electric vehicles (that fell in the category of advanced-technology partial zero emission vehicles

Collantes, Gustavo O

2006-01-01T23:59:59.000Z

89

Alternative Fuels Data Center: Airport Zero Emission Vehicle (ZEV) and  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Airport Zero Emission Airport Zero Emission Vehicle (ZEV) and Infrastructure Incentives to someone by E-mail Share Alternative Fuels Data Center: Airport Zero Emission Vehicle (ZEV) and Infrastructure Incentives on Facebook Tweet about Alternative Fuels Data Center: Airport Zero Emission Vehicle (ZEV) and Infrastructure Incentives on Twitter Bookmark Alternative Fuels Data Center: Airport Zero Emission Vehicle (ZEV) and Infrastructure Incentives on Google Bookmark Alternative Fuels Data Center: Airport Zero Emission Vehicle (ZEV) and Infrastructure Incentives on Delicious Rank Alternative Fuels Data Center: Airport Zero Emission Vehicle (ZEV) and Infrastructure Incentives on Digg Find More places to share Alternative Fuels Data Center: Airport Zero Emission Vehicle (ZEV) and Infrastructure Incentives on AddThis.com...

90

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...

91

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...

92

Alternative Fuels Data Center: Hydrogen Fuel Cell Vehicle Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

93

Alternative Fuels Data Center: Low Emission Vehicle Incentives and  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Low Emission Vehicle Low Emission Vehicle Incentives and Technical Training - San Joaquin Valley to someone by E-mail Share Alternative Fuels Data Center: Low Emission Vehicle Incentives and Technical Training - San Joaquin Valley on Facebook Tweet about Alternative Fuels Data Center: Low Emission Vehicle Incentives and Technical Training - San Joaquin Valley on Twitter Bookmark Alternative Fuels Data Center: Low Emission Vehicle Incentives and Technical Training - San Joaquin Valley on Google Bookmark Alternative Fuels Data Center: Low Emission Vehicle Incentives and Technical Training - San Joaquin Valley on Delicious Rank Alternative Fuels Data Center: Low Emission Vehicle Incentives and Technical Training - San Joaquin Valley on Digg Find More places to share Alternative Fuels Data Center: Low

94

Alternative Fuels Data Center: Alternative Fuel Vehicles Lower Emissions in  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Alternative Fuel Alternative Fuel Vehicles Lower Emissions in Columbus, Ohio to someone by E-mail Share Alternative Fuels Data Center: Alternative Fuel Vehicles Lower Emissions in Columbus, Ohio on Facebook Tweet about Alternative Fuels Data Center: Alternative Fuel Vehicles Lower Emissions in Columbus, Ohio on Twitter Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicles Lower Emissions in Columbus, Ohio on Google Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicles Lower Emissions in Columbus, Ohio on Delicious Rank Alternative Fuels Data Center: Alternative Fuel Vehicles Lower Emissions in Columbus, Ohio on Digg Find More places to share Alternative Fuels Data Center: Alternative Fuel Vehicles Lower Emissions in Columbus, Ohio on AddThis.com...

95

Fuel-cycle greenhouse gas emissions impacts of alternative transportation fuels and advanced vehicle technologies.  

DOE Green Energy (OSTI)

At an international conference on global warming, held in Kyoto, Japan, in December 1997, the United States committed to reduce its greenhouse gas (GHG) emissions by 7% over its 1990 level by the year 2012. To help achieve that goal, transportation GHG emissions need to be reduced. Using Argonne's fuel-cycle model, I estimated GHG emissions reduction potentials of various near- and long-term transportation technologies. The estimated per-mile GHG emissions results show that alternative transportation fuels and advanced vehicle technologies can help significantly reduce transportation GHG emissions. Of the near-term technologies evaluated in this study, electric vehicles; hybrid electric vehicles; compression-ignition, direct-injection vehicles; and E85 flexible fuel vehicles can reduce fuel-cycle GHG emissions by more than 25%, on the fuel-cycle basis. Electric vehicles powered by electricity generated primarily from nuclear and renewable sources can reduce GHG emissions by 80%. Other alternative fuels, such as compressed natural gas and liquefied petroleum gas, offer limited, but positive, GHG emission reduction benefits. Among the long-term technologies evaluated in this study, conventional spark ignition and compression ignition engines powered by alternative fuels and gasoline- and diesel-powered advanced vehicles can reduce GHG emissions by 10% to 30%. Ethanol dedicated vehicles, electric vehicles, hybrid electric vehicles, and fuel-cell vehicles can reduce GHG emissions by over 40%. Spark ignition engines and fuel-cell vehicles powered by cellulosic ethanol and solar hydrogen (for fuel-cell vehicles only) can reduce GHG emissions by over 80%. In conclusion, both near- and long-term alternative fuels and advanced transportation technologies can play a role in reducing the United States GHG emissions.

Wang, M. Q.

1998-12-16T23:59:59.000Z

96

Fuel-cycle greenhouse gas emissions impacts of alternative transportation fuels and advanced vehicle technologies.  

SciTech Connect

At an international conference on global warming, held in Kyoto, Japan, in December 1997, the United States committed to reduce its greenhouse gas (GHG) emissions by 7% over its 1990 level by the year 2012. To help achieve that goal, transportation GHG emissions need to be reduced. Using Argonne's fuel-cycle model, I estimated GHG emissions reduction potentials of various near- and long-term transportation technologies. The estimated per-mile GHG emissions results show that alternative transportation fuels and advanced vehicle technologies can help significantly reduce transportation GHG emissions. Of the near-term technologies evaluated in this study, electric vehicles; hybrid electric vehicles; compression-ignition, direct-injection vehicles; and E85 flexible fuel vehicles can reduce fuel-cycle GHG emissions by more than 25%, on the fuel-cycle basis. Electric vehicles powered by electricity generated primarily from nuclear and renewable sources can reduce GHG emissions by 80%. Other alternative fuels, such as compressed natural gas and liquefied petroleum gas, offer limited, but positive, GHG emission reduction benefits. Among the long-term technologies evaluated in this study, conventional spark ignition and compression ignition engines powered by alternative fuels and gasoline- and diesel-powered advanced vehicles can reduce GHG emissions by 10% to 30%. Ethanol dedicated vehicles, electric vehicles, hybrid electric vehicles, and fuel-cell vehicles can reduce GHG emissions by over 40%. Spark ignition engines and fuel-cell vehicles powered by cellulosic ethanol and solar hydrogen (for fuel-cell vehicles only) can reduce GHG emissions by over 80%. In conclusion, both near- and long-term alternative fuels and advanced transportation technologies can play a role in reducing the United States GHG emissions.

Wang, M. Q.

1998-12-16T23:59:59.000Z

97

Vehicle Technologies Office: Modeling and Simulation  

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

and low emissions in advanced internal combustion engine, advanced diesel engine, hybrid electric, and fuel cell vehicles. Advanced technology vehicles can incorporate any of a...

98

Using Vehicle Taxes to Reduce Carbon Dioxide Emissions Rates of New Passenger Vehicles: Evidence from France, Germany, and Sweden  

E-Print Network (OSTI)

France, Germany, and Sweden link vehicle taxes to the carbon dioxide (CO2) emissions rates of passenger vehicles. Based on new vehicle registration data from 2005–2010, a vehicle’s tax is negatively correlated with its ...

Klier, Thomas

99

Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Emissions Test Requirement to someone by E-mail Emissions Test Requirement to someone by E-mail Share Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Test Requirement on Facebook Tweet about Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Test Requirement on Twitter Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Test Requirement on Google Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Test Requirement on Delicious Rank Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Test Requirement on Digg Find More places to share Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Test Requirement on AddThis.com... More in this section... Federal State Advanced Search

100

Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Emissions Inspection Exemption to someone by E-mail Emissions Inspection Exemption to someone by E-mail Share Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Facebook Tweet about Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Twitter Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Google Bookmark Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Delicious Rank Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on Digg Find More places to share Alternative Fuels Data Center: Alternative Fuel Vehicle (AFV) Emissions Inspection Exemption on AddThis.com... More in this section...

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

Development of a particle number and particle mass vehicle emissions inventory for an urban fleet  

Science Conference Proceedings (OSTI)

Motor vehicles are major emitters of gaseous and particulate matter pollution in urban areas, and exposure to particulate matter pollution can have serious health effects, ranging from respiratory and cardiovascular disease to mortality. Motor vehicle ... Keywords: Emission factors, Motor vehicle inventory, PM 1, PM 10, PM 2.5, Particle emissions, Particle mass, Particle number, South-East Queensland, Traffic modelling, Transport modelling, Ultrafine particles

Diane U. Keogh; Luis Ferreira; Lidia Morawska

2009-11-01T23:59:59.000Z

102

Particulate Measurements and Emissions Characterization of Alternative Fuel Vehicle Exhaust  

DOE Green Energy (OSTI)

The objective of this project was to measure and characterize particulate emissions from light-duty alternative fuel vehicles (AFVs) and equivalent gasoline-fueled vehicles. The project included emission testing of a fleet of 129 gasoline-fueled vehicles and 19 diesel vehicles. Particulate measurements were obtained over Federal Test Procedure and US06 cycles. Chemical characterization of the exhaust particulate was also performed. Overall, the particulate emissions from modern technology compressed natural gas and methanol vehicles were low, but were still comparable to those of similar technology gasoline vehicles.

Durbin, T. D.; Truex, T. J.; Norbeck, J. M. (Center for Environmental Research and Technology College of Engineering, University of California - Riverside, California)

1998-11-19T23:59:59.000Z

103

Impact of Vehicle Air-Conditioning on Fuel Economy, Tailpipe Emissions, and Electric Vehicle Range: Preprint  

DOE Green Energy (OSTI)

Vehicle air-conditioning can significantly impact fuel economy and tailpipe emissions of conventional and hybrid electric vehicles and reduce electric vehicle range. In addition, a new US emissions procedure, called the Supplemental Federal Test Procedure, has provided the motivation for reducing the size of vehicle air-conditioning systems in the US. The SFTP will measure tailpipe emissions with the air-conditioning system operating. Current air-conditioning systems can reduce the fuel economy of high fuel-economy vehicles by about 50% and reduce the fuel economy of today's mid-sized vehicles by more than 20% while increasing NOx by nearly 80% and CO by 70%.

Farrington, R.; Rugh, J.

2000-09-22T23:59:59.000Z

104

The origin of California’s zero emission vehicle mandate  

E-Print Network (OSTI)

industry in California, combined to make the idea of mandating (electric) zero emission vehiclesIndustry felt that CARB had not seriously addressed the question of the commercial viability of electric vehicles.

Sperling, Dan; Collantes, Gustavo O

2008-01-01T23:59:59.000Z

105

California's Zero-Emission Vehicle Mandate  

E-Print Network (OSTI)

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

Shaheen, Susan

2004-01-01T23:59:59.000Z

106

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

Residual Oil Distillate Oil Motor Gasoline Other Petroleumthe use of lubricating oil by motor vehicles is based on theuse of lubricating oil related to motor- vehicle use (g/mi).

Delucchi, Mark

2003-01-01T23:59:59.000Z

107

The development of a prescreening model to identify failed and gross polluting vehicles  

E-Print Network (OSTI)

variables de?ned by the vehicle manufacturer or model year.studies often pooled vehicle manufacturers into categories (emissions of a given manufacturer’s vehicles can also vary

Choo, Sangho; Shafizadeh, Kevan; Niemeier, Deb

2007-01-01T23:59:59.000Z

108

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

E STIMATES OF EMISSIONS FACTORS FOR ALCOHOL FUEL PRODUCTIONOF EMISSIONS FACTORS FOR ALCOHOL FUEL PRODUCTION PLANTS A.

Delucchi, Mark

2003-01-01T23:59:59.000Z

109

Search for Model Year 2001 Vehicles by Fuel or Vehicle Type  

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

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

110

Search for Model Year 2004 Vehicles by Fuel or Vehicle Type  

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

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

111

Search for Model Year 2008 Vehicles by Fuel or Vehicle Type  

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

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

112

Search for Model Year 2003 Vehicles by Fuel or Vehicle Type  

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

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

113

Search for Model Year 2002 Vehicles by Fuel or Vehicle Type  

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

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

114

Black Carbon Concentrations and Diesel Vehicle Emission Factors...  

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

Black Carbon Concentrations and Diesel Vehicle Emission Factors Derived from Coefficient of Haze Measurements in California: 1967-2003 Title Black Carbon Concentrations and Diesel...

115

Vehicle Technologies Office: Emission Control R&D  

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

Control R&D The Vehicle Technologies Office (VTO) supports research and development of aftertreatment technologies to control advanced combustion engine exhaust emissions. All...

116

Vehicle Technologies Office: 2005 Diesel Engine Emissions Reduction...  

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

391 KB) Lung Toxicity and Mutagenicity of Emissions from Heavy-Duty Compressed Natural Gas (CNG)-Powered Vehicles Joe Mauderly Lovelace Respiratory Research Institute (PDF 325...

117

Vehicle Technologies Office: Emission Control R&D  

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

Emission Control R&D Emission Control R&D The Vehicle Technologies Office (VTO) supports research and development of aftertreatment technologies to control advanced combustion engine exhaust emissions. All engines that enter the vehicle market must comply with the Environmental Protection Agency's emissions regulations. Harmful pollutants in these emissions include: Carbon monoxide Nitrogen oxides Unburned hydrocarbons Volatile organic compounds (VOCs) Particulate matter The energy required for emission control often reduces vehicle fuel economy and increases vehicle cost. VTO's Emission Control R&D focuses on developing efficient, durable, low-cost emission control systems that complement new combustion strategies while minimizing efficiency losses. VTO often leverages the national laboratories' unique capabilities and facilities to conduct this research.

118

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

provide the world’s uranium enrichment services. With theseenergy efficiency of uranium enrichment, in mWh-enrichment-gas Motor-vehicle flows Uranium enrichment Agriculture Fuel

Delucchi, Mark

2003-01-01T23:59:59.000Z

119

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

maximum, and restricts regenerative energy to be less thanthe extra energy made available by regenerative braking. Theregenerative braking (for fuel-cell vehicles without electro-chemical energy

Delucchi, Mark

2003-01-01T23:59:59.000Z

120

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

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

Harmful Exhaust Emissions Monitoring of Road Vehicle Engine  

Science Conference Proceedings (OSTI)

Road vehicle improve the quality of people's life, however harmful vehicle exhaust emissions, such as carbon monoxide (CO), nitric oxide (NO), nitrogen dioxide (NO2), hydrocarbon (HC), and sulphur dioxide (SO2), have become more and more unacceptable ... Keywords: optic absorption spectroscopy based gas sensor, harmful exhaust emission monitoring, engine vibration

Chuliang Wei; Zhemin Zhuang; H. Ewald; A. I. Al-Shamma'a

2012-01-01T23:59:59.000Z

122

National Center for Vehicle Emissions Control and Safety  

E-Print Network (OSTI)

National Center for Vehicle Emissions Control and Safety Emissions-related research and outreach Sensing · Federal Test Procedures Laboratory · Light Duty Vehicles Capability · Engineering studies for kit & parts manufacturers · After-market devices and fuel additives testing · Testing of international

123

Model Year 2013: Alternative Fuel Vehicles and Advanced Technology Vehicles  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

13: Alternative Fuel and Advanced Technology Vehicles 13: Alternative Fuel and Advanced Technology Vehicles 1 (Updated 3/6/13) 1 Source: http:/afdc.energy.gov/vehicles/search/light/ Fuel/Powertrain Type Make Model Vehicle Type Engine Size/Cylinders Transmission Emissions Class 2 Fuel Economy Gasoline 3,4 City/Hwy Fuel Economy Alt Fuel 3,4 City/Hwy HEV Acura ILX Sedan 1.5L I4 ECVT Tier 2 Bin 3 LEVII PZEV 39 / 38 N/A FFV E85 Audi A4 Sedan 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 29 14 / 20 FFV E85 Audi A5 Sedan 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 29 14 / 20 FFV E85 Audi A5 Cabriolet Sedan 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 29 14 / 20 FFV E85 Audi Allroad Quatro Wagon 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 27 14 / 18 FFV E85 Audi Q5 SUV 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 20 / 28 14 / 19 HEV Audi Q5 Hybrid SUV 2.0 I4 Auto Tier 2 Bin 5 LEVII ULEV 24 / 30 N/A FFV E85 Bentley

124

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

fuel or power generation (coal, natural gas, fuel oil,generation mix for power used to compress fossil natural gas.power (% of electricity generation [EVs, hydrogen vehicles]) NGL = natural gas

Delucchi, Mark

2003-01-01T23:59:59.000Z

125

Study Pinpoints Sources of Polluting Vehicle Emissions (Fact Sheet)  

DOE Green Energy (OSTI)

Unburned lubricant produces 60%-90% of organic carbon emissions. While diesel fuel is often viewed as the most polluting of conventional petroleum-based fuels, emissions from gasoline engines can more significantly degrade air quality. Gasoline exhaust is at least as toxic on a per-unit-mass basis as diesel exhaust, and contributes up to 10 times more particulate matter (PM) to the emission inventory. Because emissions from both fuels can gravely impact health and the environment, researchers at the National Renewable Energy Laboratory (NREL) launched a study to understand how these pollutants relate to fuels, lubricants, and engine operating conditions. NREL's Collaborative Lubricating Oil Study on Emissions (CLOSE) project tested a variety of vehicles over different drive cycles at moderate (72 F) and cold (20 F) temperatures. Testing included: (1) Normal and high-emitting light-, medium-, and heavy-duty vehicles; (2) Gasoline, diesel, and compressed natural gas (CNG)-powered vehicles; (3) New and aged lubricants representative of those currently on the market; and (4) Gasoline containing no ethanol, E10, Texas-mandated low-emission diesel fuel, biodiesel, and CNG. The study confirmed that normally functioning emission control systems for gasoline light-duty vehicles are very effective at controlling organic carbon (OC) emissions. Diesel vehicles without aftertreatment emission control systems exhibited OC emissions approximately one order of magnitude higher than gasoline vehicles. High-emitter gasoline vehicles produced OC emissions similar to diesel vehicles without exhaust aftertreatment emission control. Exhaust catalysts combusted or converted more than 75% of lubricating oil components in the exhaust gases. Unburned crankcase lubricant made up 60%-90% of OC emissions. This OC represented 20%-50% of emitted PM in all but two of the vehicles. Three-way catalysts proved effective at reducing most of the OC. With high PM emitters or vehicles with deteriorated aftertreatment, high-molecular-weight fuel components and unburned lubricant were emitted at higher rates than in vehicles in good repair, with functioning emissions systems. Light-duty gasoline, medium-duty diesel, and heavy-duty natural gas vehicles produced more particles with fresh oil than with aged oil. The opposite trend was observed in light- and medium-duty high PM emitters. This effect was not readily apparent with heavy-duty diesel vehicles, perhaps because the lubricant represented a much smaller fraction of the total PM in those trucks.

Not Available

2012-03-01T23:59:59.000Z

126

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

of biomass (lignin) and biogas for process heat. TheyBTU-lignin/BTU-fuel) and emission factors for biogas (g/BTU-gas) by biogas-use factors (BTU-gas/BTU-fuel). The emission

Delucchi, Mark

2003-01-01T23:59:59.000Z

127

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

treatment emissions from corn/ethanol and wood bio- fuelMulti-modal emissions Corn-ethanol production, energy use:biodiesel fuel cycles, and corn/ ethanol fuel cycles. GHGCH

Delucchi, Mark

2003-01-01T23:59:59.000Z

128

Evaluate Greenhouse Gas Emissions Profile for Vehicles and Mobile Equipment  

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

Vehicles and Mobile Vehicles and Mobile Equipment Evaluate Greenhouse Gas Emissions Profile for Vehicles and Mobile Equipment October 7, 2013 - 11:32am Addthis YOU ARE HERE Step 2 To gain a good understanding of a Federal agency's Scope 1 vehicle and mobile equipment greenhouse gas (GHG) emissions, the agency must first collect the necessary data to profile any emissions sources then analyze the data in a way that will clarify the most viable strategies and alternatives. Emissions cannot be managed until they are measured. Through the use of fleet/vehicle management information systems, as well as reporting to the Federal Energy Management Program and General Services Administration, agencies are increasingly collecting and documenting useful data elements at the headquarters-and sometimes at specific site -levels.

129

Development and applications of GREET 2.7 -- The Transportation Vehicle-CycleModel.  

DOE Green Energy (OSTI)

Argonne National Laboratory has developed a vehicle-cycle module for the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model. The fuel-cycle GREET model has been cited extensively and contains data on fuel cycles and vehicle operations. The vehicle-cycle model evaluates the energy and emission effects associated with vehicle material recovery and production, vehicle component fabrication, vehicle assembly, and vehicle disposal/recycling. With the addition of the vehicle-cycle module, the GREET model now provides a comprehensive, lifecycle-based approach to compare the energy use and emissions of conventional and advanced vehicle technologies (e.g., hybrid electric vehicles and fuel cell vehicles). This report details the development and application of the GREET 2.7 model. The current model includes six vehicles--a conventional material and a lightweight material version of a mid-size passenger car with the following powertrain systems: internal combustion engine, internal combustion engine with hybrid configuration, and fuel cell with hybrid configuration. The model calculates the energy use and emissions that are required for vehicle component production; battery production; fluid production and use; and vehicle assembly, disposal, and recycling. This report also presents vehicle-cycle modeling results. In order to put these results in a broad perspective, the fuel-cycle model (GREET 1.7) was used in conjunction with the vehicle-cycle model (GREET 2.7) to estimate total energy-cycle results.

Burnham, A.; Wang, M. Q.; Wu, Y.

2006-12-20T23:59:59.000Z

130

Search for Model Year 2013 Vehicles by Fuel or Vehicle Type  

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

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

131

Search for Model Year 2012 Vehicles by Fuel or Vehicle Type  

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

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

132

Search for Model Year 2011 Vehicles by Fuel or Vehicle Type  

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

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

133

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

emissions for natural-gas power plants. Moreover, the CH4separately from the natural gas-to-power plants fuelcycle,= of total natural-gas used by power plants, the fraction

Delucchi, Mark

2003-01-01T23:59:59.000Z

134

A Lifecycle Emissions Model (LEM): Lifecycle Emissions from Transportation Fuels, Motor Vehicles, Transportation Modes, Electricity Use, Heating and Cooking Fuels, and Materials  

E-Print Network (OSTI)

factors for wood residue combustion. Mann and Spath (1997)CH4/NMOC ratio for wood-waste combustion (see below), andN2O/NO x ratio for wood-waste combustion. Emission factors

Delucchi, Mark

2003-01-01T23:59:59.000Z

135

Testing hybrid electric vehicle emissions and fuel economy at the 1994 Hybrid Electric Vehicle Challenge  

DOE Green Energy (OSTI)

From June 12--20, 1994, an engineering design competition called the 1994 Hybrid Electric Vehicle (HEV) Challenge was held in Southfield, Michigan. This collegiate-level competition, which involved 36 colleges and universities from across North America, challenged the teams to build a superior HEV. One component of this comprehensive competition was the emissions event. Special HEV testing procedures were developed for the competition to find vehicle emissions and correct for battery state-of-charge while fitting into event time constraints. Although there were some problems with a newly-developed data acquisition system, they were able to get a full profile of the best performing vehicles as well as other vehicles that represent typical levels of performance from the rest of the field. This paper will explain the novel test procedures, present the emissions and fuel economy results, and provide analysis of second-by-second data for several vehicles.

Duoba, M.; Quong, S.; LeBlanc, N.; Larsen, R.P.

1995-06-01T23:59:59.000Z

136

Inhalation of motor vehicle emissions: effects of urban population and land area  

E-Print Network (OSTI)

M.A. , 1996. Total cost of motor-vehicle use. Access 8, 7-Urban density and inhalation of motor vehicle emissions JDof primary pollutants: motor vehicle emissions in the South

Marshall, J D; McKone, T E; Deakin, E; Nazaroff, William W

2005-01-01T23:59:59.000Z

137

Inhalation of motor vehicle emissions: effects of urban population and land area  

E-Print Network (OSTI)

M.A. , 1996. Total cost of motor-vehicle use. Access 8,of ammonia and other motor vehicle exhaust emissions.and engine load on motor vehicle emissions. Environmental

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

2006-01-01T23:59:59.000Z

138

VISION Model for Vehicle Technologies and Alternative Fuels | Open Energy  

Open Energy Info (EERE)

VISION Model for Vehicle Technologies and Alternative Fuels VISION Model for Vehicle Technologies and Alternative Fuels Jump to: navigation, search Tool Summary LAUNCH TOOL Name: VISION Model for Vehicle Technologies and Alternative Fuels Agency/Company /Organization: Argonne National Laboratory Sector: Energy Focus Area: Transportation Phase: Create a Vision Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.transportation.anl.gov/modeling_simulation/VISION/ OpenEI Keyword(s): EERE tool, VISION Model for Vehicle Technologies and Alternative Fuels References: The VISION Model [1] Estimate the potential energy use, oil use, and carbon emission impacts of advanced light and heavy-duty vehicle technologies and alternative fuels through 2050. The VISION model has been developed to provide estimates of the potential

139

California's Zero-Emission Vehicle Mandate  

E-Print Network (OSTI)

E V s ) such as compressed natural gas, gas-electric hybrid,e.g. , electric, compressed natural gas, and hybridP Z E V (e.g. , compressed natural gas vehicles and hybrids)

Shaheen, Susan

2004-01-01T23:59:59.000Z

140

Gasoline-fueled hybrid vs. conventional vehicle emissions and fuel economy.  

SciTech Connect

This paper addresses the relative fuel economy and emissions behavior, both measured and modeled, of technically comparable, contemporary hybrid and conventional vehicles fueled by gasoline, in terms of different driving cycles. Criteria pollutants (hydrocarbons, carbon monoxide, and nitrogen oxides) are discussed, and the potential emissions benefits of designing hybrids for grid connection are briefly considered. In 1997, Toyota estimated that their grid-independent hybrid vehicle would obtain twice the fuel economy of a comparable conventional vehicle on the Japan 10/15 mode driving cycle. This initial result, as well as the fuel economy level (66 mpg), made its way into the U.S. press. Criteria emissions amounting to one-tenth of Japanese standards were cited, and some have interpreted these results to suggest that the grid-independent hybrid can reduce criteria emissions in the U.S. more sharply than can a conventional gasoline vehicle. This paper shows that the potential of contemporary grid-independent hybrid vehicle technology for reducing emissions and fuel consumption under U.S. driving conditions is less than some have inferred. The importance (and difficulty) of doing test and model assessments with comparable driving cycles, comparable emissions control technology, and comparable performance capabilities is emphasized. Compared with comparable-technology conventional vehicles, grid-independent hybrids appear to have no clear criteria pollutant benefits (or disbenefits). (Such benefits are clearly possible with grid-connectable hybrids operating in zero emissions mode.) However, significant reductions in greenhouse gas emissions (i.e., fuel consumption) are possible with hybrid vehicles when they are used to best advantage.

Anderson, J.; Bharathan, D.; He, J.; Plotkin, S.; Santini, D.; Vyas, A.

1999-06-18T23:59:59.000Z

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

Development of a dedicated ethanol ultra-low-emissions vehicle (ULEV): Phase 3 report  

DOE Green Energy (OSTI)

The objective of the 3.5 year project discussed in this report was to develop a commercially competitive vehicle powered by ethanol (or an ethanol blend) that can meet California`s Ultra Low Emissions Vehicle (ULEV) standards and equivalent Corporate Average Fuel Economy (CAFE) energy efficiency for a light duty passenger car application. This particular report summarizes the third phase of the project, which lasted 12 months. Emissions tests were conducted with advanced after-treatment devices on one of the two, almost identical, test vehicles, a 1993 Ford Taurus flexible fuel vehicle. The report also covers tests on the engine removed from the second Taurus vehicle. This engine was modified for an increased compression ratio, fitted with air assist injectors, and included an advanced engine control system with model-based control.

Dodge, L.; Callahan, T.; Leone, D.; Naegeli, D.; Shouse, K.; Smith, L.; Whitney, K. [Southwest Research Inst., San Antonio, TX (United States)] [Southwest Research Inst., San Antonio, TX (United States)

1998-04-01T23:59:59.000Z

142

CleanFleet. Final report: Volume 7, vehicle emissions  

DOE Green Energy (OSTI)

Measurements of exhaust and evaporative emissions from Clean Fleet vans running on M-85, compressed natural gas (CNG), California Phase 2 reformulated gasoline (RFG), propane gas, and a control gasoline (RF-A) are presented. Three vans from each combination of vehicle manufacturer and fuel were tested at the California Air Resources Board (ARB) as they accumulated mileage in the demonstration. Data are presented on regulated emissions, ozone precursors, air toxics, and greenhouse gases. The emissions tests provide information on in-use emissions. That is, the vans were taken directly from daily commercial service and tested at the ARB. The differences in alternative fuel technology provide the basis for a range of technology options. The emissions data reflect these differences, with classes of vehicle/fuels producing either more or less emissions for various compounds relative to the control gasoline.

NONE

1995-12-01T23:59:59.000Z

143

Emissions from ethanol- and LPG-fueled vehicles  

SciTech Connect

This paper addresses the environmental concerns of using neat ethanol and liquefied petroleum gas (LPG) as transportation fuels in the United States. Low-level blends of ethanol (10%) with gasoline have been used as fuels in the United States for more than a decade, but neat ethanol (85% or more) has only been used extensively in Brazil. LPG, which consists mostly of propane, is already used extensively as a vehicle fuel in the United States, but its use has been limited primarily to converted fleet vehicles. Increasing U.S. interest in alternative fuels has raised the possibility of introducing neat-ethanol vehicles into the market and expanding the number of LPG vehicles. Use of such vehicles, and increased production and consumption of fuel ethanol and LPG, will undoubtedly have environmental impacts. If the impacts are determined to be severe, they could act as barriers to the introduction of neat-ethanol and LPG vehicles. Environmental concerns include exhaust and evaporative emissions and their impact on ozone formation and global warming, toxic emissions from fuel combustion and evaporation, and agricultural impacts from production of ethanol. The paper is not intended to be judgmental regarding the overall attractiveness of ethanol or LPG as compared with other transportation fuels. The environmental concerns are reviewed and summarized, but only conclusion reached is that there is no single concern that is likely to prevent the introduction of neat-ethanol-fueled vehicles or the increase in LPG-fueled vehicles.

Pitstick, M.E.

1995-06-01T23:59:59.000Z

144

Vehicle Technologies Office: Modeling, Testing and Analysis  

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

Modeling, Testing and Modeling, Testing and Analysis to someone by E-mail Share Vehicle Technologies Office: Modeling, Testing and Analysis on Facebook Tweet about Vehicle Technologies Office: Modeling, Testing and Analysis on Twitter Bookmark Vehicle Technologies Office: Modeling, Testing and Analysis on Google Bookmark Vehicle Technologies Office: Modeling, Testing and Analysis on Delicious Rank Vehicle Technologies Office: Modeling, Testing and Analysis on Digg Find More places to share Vehicle Technologies Office: Modeling, Testing and Analysis on AddThis.com... Goals Research & Development Testing and Analysis Workplace Charging Community and Fleet Readiness Workforce Development Plug-in Electric Vehicle Basics Modeling, Testing and Analysis The Vehicle Technologies Office's robust portfolio is supported by

145

Hybrid Electric Vehicles - HEV Modeling  

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

Modeling Modeling Background Because of time and cost constraints, designers cannot build and test each of the many possible powertrain configurations for advanced vehicles. Thus, developing fuel cells and hybrid electric vehicles (HEVs) requires accurate, flexible simulation tools. Argonne undertook a collaborative effort to further develop Autonomie in collaboration with General Motors. Autonomie is sponsored by the U.S. Department of Energy (DOE) Vehicle Technologies Program. Autonomie is a Plug-and-Play Powertrain and Vehicle Model Architecture and Development Environment to support the rapid evaluation of new powertrain/propulsion technologies for improving fuel economy through virtual design and analysis in a math-based simulation environment. Autonomie is an open architecture to support the rapid integration and analysis of powertrain/propulsion systems and technologies for rapid technology sorting and evaluation of fuel economy improvement under dynamic/transient testing conditions. The capability to sort technologies rapidly in a virtual design environment results in faster improvements in real-world fuel consumption by reducing the time necessary to develop and bring new technologies onto our roads.

146

HEAVY-DUTY VEHICLE IN USE EMISSION PERFORMANCE  

DOE Green Energy (OSTI)

Engines for heavy-duty vehicles are emission certified by running engines according to specified load pattern or duty cycle. In the US, the US Heavy-Duty Transient cycle has been in use already for a number of years, and Europe is, according to the requirements of the Directive 1999/96/EC gradually switching to transient-type testing. Evaluating the in-use emission performance of heavy-duty vehicles presents a problem. Taking engines out of vehicles for engine dynamometer testing is difficult and costly. In addition, engine dynamometer testing does not take into account the properties of the vehicle itself (i.e. mass, transmission etc.). It is also debatable, how well the standardized duty cycles reflect real-life -driving patterns. VTT Processes has recently commissioned a new emission laboratory for heavy-duty vehicles. The facility comprises both engine test stand and a fully transient heavy-duty chassis dynamometer. The roller diameter of the dynamometer is 2.5 meters. Regulated emissions are measured using a full-flow CVS system. The HD vehicle chassis dynamometer measurements (emissions, fuel consumption) has been granted accreditation by the Centre of Metrology and Accreditation (MIKES, Finland). A national program to generate emission data on buses has been set up for the years 2002-2004. The target is to generate emission factors for some 50 different buses representing different degree of sophistication (Euro 1 to Euro5/EEV, with and without exhaust gas aftertreatment), different fuel technologies (diesel, natural gas) and different ages (the effect of aging). The work is funded by the Metropolitan Council of Helsinki, Helsinki City Transport, The Ministry of Transport and Communications Finland and the gas company Gasum Oy. The International Association for Natural Gas Vehicles (IANGV) has opted to buy into the project. For IANGV, VTT will deliver comprehensive emission data (including particle size distribution and chemical and biological characterization of particles) for up-to-date diesel and natural gas vehicles. The paper describes the methodology used for the measurements on buses, the test matrix and some preliminary emission data on both regulated and unregulated emissions.

Nylund, N; Ikonen, M; Laurikko, J

2003-08-24T23:59:59.000Z

147

Model Year 2014 SmartWay Vehicles  

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

4 SmartWay Vehicles Updated November 6, 2013* *Vehicles may be added throughout the model year. Please check back for updates. Page 1 of 12 Model Displ Cyl Trans Drive Fuel Sales...

148

Model Year 2013 SmartWay Vehicles  

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

SmartWay Vehicles Updated August 14, 2013* *Vehicles may be added throughout the model year. Please check back for updates. Page 1 of 13 Model Displ Cyl Trans Drive Fuel Sales...

149

Vehicle Technologies Office: Combustion and Emission Control  

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

and fuel formulation to arrive at the most cost-effective approach to optimizing advanced combustion engine efficiency and performance while reducing emissions to near-zero levels....

150

Remote monitoring of emissions using on-vehicle sensing and vehicle to roadside communications  

DOE Green Energy (OSTI)

Recent developments in on-vehicle electronics makes practical remote monitoring of vehicle emissions compliance with CARB and EPA regulations. A system consisting of emission controls malfunction sensors, an on-board computer (OBC), and vehicle-to-roadside communications (VRC) would enable enforcement officials to remotely and automatically detect vehicle out-of-compliance status. Remote sensing could be accomplished at highway speeds as vehicles pass a roadside RF antenna and reader unit which would interrogate the on- vehicle monitoring and recording system. This paper will focus on the hardware system components require to achieve this goal with special attention to the VRC; a key element for remote monitoring. this remote sensing concept piggybacks on the development of inexpensive VRC equipment for automatic vehicle identification for electronic toll collection and intelligent transportation applications. Employing an RF transponder with appropriate interface to the OBC and malfunction sensors, a practical monitoring system can be developed with potentially important impact on air quality and enforcement. With such a system in place, the current -- and costly and ineffective -- emission control strategy of periodic smog checking could be replaced or modified.

Davis, D.T.

1995-06-01T23:59:59.000Z

151

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

E-Print Network (OSTI)

PZEVs) such as compressed natural gas, gas-electric hybrid,e.g. , electric, compressed natural gas, and hybride.g. , compressed vehicles) emission vehicles natural gas

Shaheen, Susan; Wright, John; Sperling, Daniel

2001-01-01T23:59:59.000Z

152

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

153

Fuel composition effects on natural gas vehicle emissions  

DOE Green Energy (OSTI)

Under a contract from DOE`s National Renewable Energy Laboratory (NREL) and support from Brooklyn Union Gas Company (BUG), Northern Illinois Gas Co., the Institute of Gas Technology (IGT) evaluated four state-of-the-art, electronic, closed-loop natural gas vehicle (NGV) conversion systems. The systems included an Impco electronic closed-loop system, Mogas electronic closed-loop system, Stewart and Stevenson`s GFI system, and an Automotive Natural Gas Inc. (ANGI) Level 1 electronic closed-loop conversion system. Conversion system evaluation included emission testing per 40 CFR Part 86, and driveability. All testing was performed with a 1993 Chevy Lumina equipped with a 3.1 liter MPFI V6 engine. Each system was emission tested using three different certified compositions of natural gas, representing the 10th, mean and 90th percentile gas compositions distributed in the United States. Emission testing on indolene was performed prior to conversion kit testing to establish a base emission value. Indolene testing was also performed at the end of the project when the vehicle was converted to its OEM configuration to ensure that the vehicle`s emissions were not altered during testing. The results of these tests will be presented.

Blazek, C.F.; Grimes, J.; Freeman, P. [Institute of Gas Technology, Chicago, IL (United States); Bailey, B.K.; Colucci, C. [National Renewable Energy Lab., Golden, CO (United States)

1994-09-01T23:59:59.000Z

154

Correlation of I/M240 and FTP emissions for Alternative Motor Fuels Act test vehicles  

SciTech Connect

The National Remewable Energy Laboratory (NREL) is managing a series of light duty vehicle chasis dynamometer chasis tests on alternative fuel vehicles for the US Department of Energy (DOE). This testing program is part of a larger demonstration of alternative fuel vehicles that was mandated by the Alternative Motor Fuels Act of 1988 (AMFA). In Phase I of the AMFA emissions test program (AMFA I) 18 vehicles were tested by three laboratories. All the vehicles tested were 1991 model year. In Phase II of the program (AMFA II), the number of vehicles was increased to nearly 300, including M85 Dodge Spirits, E85 Chevrolet Luminas, and compressed natural gas Dodge passenger vans. Phase II testing includes a Federal Test Procedure (FTP) test, followed by two of the EPA`s Inspection/Maintenance (I/M240) tests. It is concluded that the I/M240 test is not an appropriate comparison to the FTP. Further the I/M 240 test is not as reliable as the FTP in estimating the `real world` emissions of these relatively low emission vehicles. 7 refs., 10 figs., 8 tabs.

Kelly, K.J.

1994-10-01T23:59:59.000Z

155

Non-Road Electric Vehicle Emissions: Analysis and Recommendations  

Science Conference Proceedings (OSTI)

Energy security and quality of life in the United States and around the globe are dependent upon the reduction of air pollution, petroleum dependency, and developing a solution to global warming. Non-road transportation equipment offers an opportunity to support this quality of life objective with a reduction in emissions through electrification. Private sector initiatives and regulatory agencies have begun to focus on non-road vehicles and equipment. This emission source category, which was largely unre...

2003-08-18T23:59:59.000Z

156

Future Emissions Impact On Off-Road Vehicles  

DOE Green Energy (OSTI)

Summaries of paper: Emission requirements dictate vehicle update cycles; Packaging, performance and cost impacted; Styling updates can be integrated; Opportunity to integrate features and performance; Non-uniform regulations challenge resources; and Customers won't expect to pay more or receive less.

Kirby Baumgard; Steve Ephraim

2001-04-18T23:59:59.000Z

157

On-Road Motor Vehicle Emissions Measurements  

E-Print Network (OSTI)

and maintenance are both important. Propane and CNG are NOT "cleaner burning". RSD is a very good tool but ... Measured grams pollutant per kg of fuel from RSD -quantifiable uncertainty Fuel sales from tax department inventories · Only need one week of work and fuel sales to get fuel based emissions inventories · RSD

Denver, University of

158

EMISSIONS OF NITROUS OXIDE AND METHANE FROM CONVENTIONAL AND ALTERNATIVE FUEL MOTOR VEHICLES  

E-Print Network (OSTI)

EMISSIONS OF NITROUS OXIDE AND METHANE FROM CONVENTIONAL AND ALTERNATIVE FUEL MOTOR VEHICLES from motor vehicles because unlike emissions of CO2, which are relatively easy to estimate, emissions-related emissions. In the U.S., for example, emissions of carbon dioxide (CO2) from the production and use of motor

Kammen, Daniel M.

159

Search for Model Year 2005 Vehicles by Fuel or Vehicle Type  

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

Year: 2005 Select Class... Compressed Natural Gas Vehicles Diesel Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Search by Make Search by Model Search by EPA Size Class...

160

Search for Model Year 2009 Vehicles by Fuel or Vehicle Type  

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

Year: 2009 Select Class... Compressed Natural Gas Vehicles Diesel Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Search by Make Search by Model Search by EPA Size Class...

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

Search for Model Year 2010 Vehicles by Fuel or Vehicle Type  

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

Year: 2010 Select Class... Compressed Natural Gas Vehicles Diesel Vehicles Flex-Fuel (E85) Vehicles Hybrid Vehicles Search by Make Search by Model Search by EPA Size Class...

162

A zinc-air battery and flywheel zero emission vehicle  

DOE Green Energy (OSTI)

In response to the 1990 Clean Air Act, the California Air Resources Board (CARB) developed a compliance plan known as the Low Emission Vehicle Program. An integral part of that program was a sales mandate to the top seven automobile manufacturers requiring the percentage of Zero Emission Vehicles (ZEVs) sold in California to be 2% in 1998, 5% in 2001 and 10% by 2003. Currently available ZEV technology will probably not meet customer demand for range and moderate cost. A potential option to meet the CARB mandate is to use two Lawrence Livermore National Laboratory (LLNL) technologies, namely, zinc-air refuelable batteries (ZARBs) and electromechanical batteries (EMBs, i. e., flywheels) to develop a ZEV with a 384 kilometer (240 mile) urban range. This vehicle uses a 40 kW, 70 kWh ZARB for energy storage combined with a 102 kW, 0.5 kWh EMB for power peaking. These technologies are sufficiently near-term and cost-effective to plausibly be in production by the 1999-2001 time frame for stationary and initial vehicular applications. Unlike many other ZEVs currently being developed by industry, our proposed ZEV has range, acceleration, and size consistent with larger conventional passenger vehicles available today. Our life-cycle cost projections for this technology are lower than for Pb-acid battery ZEVs. We have used our Hybrid Vehicle Evaluation Code (HVEC) to simulate the performance of the vehicle and to size the various components. The use of conservative subsystem performance parameters and the resulting vehicle performance are discussed in detail.

Tokarz, F.; Smith, J.R.; Cooper, J.; Bender, D.; Aceves, S.

1995-10-03T23:59:59.000Z

163

Alternative Fuels Data Center: Heavy-Duty Vehicle Greenhouse Gas Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Heavy-Duty Vehicle Heavy-Duty Vehicle Greenhouse Gas Emissions Regulations to someone by E-mail Share Alternative Fuels Data Center: Heavy-Duty Vehicle Greenhouse Gas Emissions Regulations on Facebook Tweet about Alternative Fuels Data Center: Heavy-Duty Vehicle Greenhouse Gas Emissions Regulations on Twitter Bookmark Alternative Fuels Data Center: Heavy-Duty Vehicle Greenhouse Gas Emissions Regulations on Google Bookmark Alternative Fuels Data Center: Heavy-Duty Vehicle Greenhouse Gas Emissions Regulations on Delicious Rank Alternative Fuels Data Center: Heavy-Duty Vehicle Greenhouse Gas Emissions Regulations on Digg Find More places to share Alternative Fuels Data Center: Heavy-Duty Vehicle Greenhouse Gas Emissions Regulations on AddThis.com... More in this section... Federal

164

Particulate Emissions from a Pre-Emissions Control Era Spark-Ignition Vehicle: A Historical Benchmark  

DOE Green Energy (OSTI)

This study examined the particulate emissions from a pre-emissions control era vehicle operated on both leaded and unleaded fuels for the purpose of establishing a historical benchmark. A pre-control vehicle was located that had been rebuilt with factory original parts to approximate an as-new vehicle prior to 1968. The vehicle had less than 20,000 miles on the rebuilt engine and exhaust. The vehicle underwent repeated FTP-75 tests to determine its regulated emissions, including particulate mass. Additionally, measurements of the particulate size distribution were made, as well as particulate lead concentration. These tests were conducted first with UTG96 certification fuel, followed by UTG96 doped with tetraethyl lead to approximate 1968 levels. Results of these tests, including transmission electron micrographs of individual particles from both the leaded and unleaded case are presented. The FTP composite PM emissions from this vehicle averaged 40.5 mg/mile using unleaded fuel. The results from the leaded fuel tests showed that the FTP composite PM emissions increased to an average of 139.5 mg/mile. Analysis of the particulate size distribution for both cases demonstrated that the mass-based size distribution of particles for this vehicle is heavily skewed towards the nano-particle range. The leaded-fuel tests showed a significant increase in mass concentration at the <0.1 micron size compared with the unleaded-fuel test case. The leaded-fuel tests produced lead emissions of nearly 0.04 g/mi, more than a 4-order-of-magnitude difference compared with unleaded-fuel results. Analysis of the size-fractionated PM samples showed that the lead PM emissions tended to be distributed in the 0.25 micron and smaller size range.

John M.E. Storey; C. Scott Sluder; Douglas A. Blom; Erin Higinbotham

2000-06-19T23:59:59.000Z

165

Large-scale battery system modeling and analysis for emerging electric-drive vehicles  

Science Conference Proceedings (OSTI)

Emerging electric-drive vehicles demonstrate the potential for significant reduction of petroleum consumption and greenhouse gas emissions. Existing electric-drive vehicles typi- cally include a battery system consisting of thousands of Lithium-ion battery ... Keywords: analysis, battery system model, electric-drive vehicles

Kun Li; Jie Wu; Yifei Jiang; Zyad Hassan; Qin Lv; Li Shang; Dragan Maksimovic

2010-08-01T23:59:59.000Z

166

NMOG Emissions Characterizations and Estimation for Vehicles Using Ethanol-Blended Fuels  

DOE Green Energy (OSTI)

Ethanol is a biofuel commonly used in gasoline blends to displace petroleum consumption; its utilization is on the rise in the United States, spurred by the biofuel utilization mandates put in place by the Energy Independence and Security Act of 2007 (EISA). The United States Environmental Protection Agency (EPA) has the statutory responsibility to implement the EISA mandates through the promulgation of the Renewable Fuel Standard. EPA has historically mandated an emissions certification fuel specification that calls for ethanol-free fuel, except for the certification of flex-fuel vehicles. However, since the U.S. gasoline marketplace is now virtually saturated with E10, some organizations have suggested that inclusion of ethanol in emissions certification fuels would be appropriate. The test methodologies and calculations contained in the Code of Federal Regulations for gasoline-fueled vehicles have been developed with the presumption that the certification fuel does not contain ethanol; thus, a number of technical issues would require resolution before such a change could be accomplished. This report makes use of the considerable data gathered during the mid-level blends testing program to investigate one such issue: estimation of non-methane organic gas (NMOG) emissions. The data reported in this paper were gathered from over 600 cold-start Federal Test Procedure (FTP) tests conducted on 68 vehicles representing 21 models from model year 2000 to 2009. Most of the vehicles were certified to the Tier-2 emissions standard, but several older Tier-1 and national low emissions vehicle program (NLEV) vehicles were also included in the study. Exhaust speciation shows that ethanol, acetaldehyde, and formaldehyde dominate the oxygenated species emissions when ethanol is blended into the test fuel. A set of correlations were developed that are derived from the measured non-methane hydrocarbon (NMHC) emissions and the ethanol blend level in the fuel. These correlations were applied to the measured NMHC emissions from the mid-level ethanol blends testing program and the results compared against the measured NMOG emissions. The results show that the composite FTP NMOG emissions estimate has an error of 0.0015 g/mile {+-}0.0074 for 95% of the test results. Estimates for the individual phases of the FTP are also presented with similar error levels. A limited number of tests conducted using the LA92, US06, and highway fuel economy test cycles show that the FTP correlation also holds reasonably well for these cycles, though the error level relative to the measured NMOG value increases for NMOG emissions less than 0.010 g/mile.

Sluder, Scott [ORNL; West, Brian H [ORNL

2011-10-01T23:59:59.000Z

167

NMOG Emissions Characterization and Estimation for Vehicles Using Ethanol-Blended Fuels  

Science Conference Proceedings (OSTI)

Ethanol is a biofuel commonly used in gasoline blends to displace petroleum consumption; its utilization is on the rise in the United States, spurred by the biofuel utilization mandates put in place by the Energy Independence and Security Act of 2007 (EISA). The United States Environmental Protection Agency (EPA) has the statutory responsibility to implement the EISA mandates through the promulgation of the Renewable Fuel Standard. EPA has historically mandated an emissions certification fuel specification that calls for ethanol-free fuel, except for the certification of flex-fuel vehicles. However, since the U.S. gasoline marketplace is now virtually saturated with E10, some organizations have suggested that inclusion of ethanol in emissions certification fuels would be appropriate. The test methodologies and calculations contained in the Code of Federal Regulations for gasoline-fueled vehicles have been developed with the presumption that the certification fuel does not contain ethanol; thus, a number of technical issues would require resolution before such a change could be accomplished. This report makes use of the considerable data gathered during the mid-level blends testing program to investigate one such issue: estimation of non-methane organic gas (NMOG) emissions. The data reported in this paper were gathered from over 600 cold-start Federal Test Procedure (FTP) tests conducted on 68 vehicles representing 21 models from model year 2000 to 2009. Most of the vehicles were certified to the Tier-2 emissions standard, but several older Tier-1 and national low emissions vehicle program (NLEV) vehicles were also included in the study. Exhaust speciation shows that ethanol, acetaldehyde, and formaldehyde dominate the oxygenated species emissions when ethanol is blended into the test fuel. A set of correlations were developed that are derived from the measured non-methane hydrocarbon (NMHC) emissions and the ethanol blend level in the fuel. These correlations were applied to the measured NMHC emissions from the mid-level ethanol blends testing program and the results compared against the measured NMOG emissions. The results show that the composite FTP NMOG emissions estimate has an error of 0.0015 g/mile {+-}0.0074 for 95% of the test results. Estimates for the individual phases of the FTP are also presented with similar error levels. A limited number of tests conducted using the LA92, US06, and highway fuel economy test cycles show that the FTP correlation also holds reasonably well for these cycles, though the error level relative to the measured NMOG value increases for NMOG emissions less than 0.010 g/mile.

Sluder, Scott [ORNL; West, Brian H [ORNL

2012-01-01T23:59:59.000Z

168

Alternative Fuels Data Center: Low Emission Vehicle Electricity...  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Help Alternative Fuels Data Center Fuels & Vehicles Biodiesel | Diesel Vehicles Electricity | Hybrid & Plug-In Electric Vehicles Ethanol | Flex Fuel Vehicles Hydrogen | Fuel...

169

Methanol fuel vehicle demonstration: Exhaust emission testing. Final report  

DOE Green Energy (OSTI)

Ford Motor Company converted four stock 1986 Ford Crown Victoria sedans to methanol flexible fuel vehicles (FFVs). During 143,108 operational miles from 1987 to 1990, the FFVs underwent more than 300 dynamometer driving tests to measure exhaust emissions, catalytic activity, fuel economy, acceleration, and driveability with gasoline and methanol blend fuels. Dynamometer driving tests included the Federal Test Procedure (FTP), the Highway Fuel Economy Test, and the New York City Cycle. Exhaust emission measurements included carbon dioxide, carbon monoxide (CO), nitrogen oxides (NO{sub x}), non- oxygenated hydrocarbons, organic material hydrocarbon equivalent (OMHCE), formaldehyde, and methanol. Catalytic activity was based on exhaust emissions data from active and inactive catalysts. OMHCE, CO, and NO{sub x} were usually lower with M85 (85% methanol, 15% gasoline) than with gasoline for both active and inactive catalysts when initial engine and catalyst temperatures were at or near normal operating temperatures. CO was higher with M85 than with gasoline when initial engine and catalyst temperatures were at or near ambient temperature. Formaldehyde and methanol were higher with M85. Active catalyst FTP OMHCE, CO, and NO{sub x} increased as vehicle mileage increased, but increased less with M85 than with gasoline. Energy based fuel economy remained almost constant with changes in fuel composition and vehicle mileage.

Hyde, J.D. [New York State Dept. of Environmental Conservation, Albany, NY (US). Automotive Emissions Lab.

1993-07-01T23:59:59.000Z

170

Total energy cycle energy use and emissions of electric vehicles.  

SciTech Connect

A total energy cycle analysis (TECA) of electric vehicles (EV) was recently completed. The EV energy cycle includes production and transport of fuels used in power plants to generate electricity, electricity generation, EV operation, and vehicle and battery manufacture. This paper summarizes the key assumptions and results of the EVTECA. The total energy requirements of EVS me estimated to be 24-35% lower than those of the conventional, gasoline-fueled vehicles they replace, while the reductions in total oil use are even greater: 55-85%. Greenhouse gases (GHG) are 24-37% lower with EVs. EVs reduce total emissions of several criteria air pollutants (VOC, CO, and NO{sub x}) but increase total emissions of others (SO{sub x}, TSP, and lead) over the total energy cycle. Regional emissions are generally reduced with EVs, except possibly SO{sub x}. The limitations of the EVTECA are discussed, and its results are compared with those of other evaluations of EVs. In general, many of the results (particularly the oil use, GHG, VOC, CO, SO{sub x}, and lead results) of the analysis are consistent with those of other evaluations.

Singh, M. K.

1999-04-29T23:59:59.000Z

171

Impact of Vehicle Air-Conditioning on Fuel Economy, Tailpipe Emissions, and Electric Vehicle Range: Preprint  

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

Vehicle Air- Vehicle Air- Conditioning on Fuel Economy, Tailpipe Emissions, and Electric Vehicle Range Preprint September 2000 * NREL/CP-540-28960 R. Farrington and J. Rugh To Be Presented at the Earth Technologies Forum Washington, D.C. October 31, 2000 National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401-3393 NREL is a U.S. Department of Energy Laboratory Operated by Midwest Research Institute * * * * Battelle * * * * Bechtel Contract No. DE-AC36-99-GO10337 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US Government and MRI retain a nonexclusive royalty-free license to publish or reproduce the published

172

Alternative Fuels Data Center: Plug-In Electric Vehicle (PEV) Emissions  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Emissions Inspection Exemption to someone by E-mail Emissions Inspection Exemption to someone by E-mail Share Alternative Fuels Data Center: Plug-In Electric Vehicle (PEV) Emissions Inspection Exemption on Facebook Tweet about Alternative Fuels Data Center: Plug-In Electric Vehicle (PEV) Emissions Inspection Exemption on Twitter Bookmark Alternative Fuels Data Center: Plug-In Electric Vehicle (PEV) Emissions Inspection Exemption on Google Bookmark Alternative Fuels Data Center: Plug-In Electric Vehicle (PEV) Emissions Inspection Exemption on Delicious Rank Alternative Fuels Data Center: Plug-In Electric Vehicle (PEV) Emissions Inspection Exemption on Digg Find More places to share Alternative Fuels Data Center: Plug-In Electric Vehicle (PEV) Emissions Inspection Exemption on AddThis.com... More in this section...

173

Simulated comparisons of emissions and fuel efficiency of diesel and gasoline hybrid electric vehicles  

SciTech Connect

This paper presents details and results of hybrid and plug-in hybrid electric passenger vehicle (HEV and PHEV) simulations that account for the interaction of thermal transients from drive cycle demands and engine start/stop events with aftertreatment devices and their associated fuel penalties. The simulations were conducted using the Powertrain Systems Analysis Toolkit (PSAT) software developed by Argonne National Laboratory (ANL) combined with aftertreatment component models developed at Oak Ridge National Lab (ORNL). A three-way catalyst model is used in simulations of gasoline powered vehicles while a lean NOx trap model in used to simulated NOx reduction in diesel powered vehicles. Both cases also use a previously reported methodology for simulating the temperature and species transients associated with the intermittent engine operation and typical drive cycle transients which are a significant departure from the usual experimental steady-state engine-map based approach adopted often in vehicle system simulations. Comparative simulations indicate a higher efficiency for diesel powered vehicles but the advantage is lowered by about a third (for both HEVs and PHEVs) when the fuel penalty associated with operating a lean NOx trap is included and may be reduced even more when fuel penalty associated with a particulate filter is included in diesel vehicle simulations. Through these preliminary studies, it is clearly demonstrated how accurate engine and exhaust systems models that can account for highly intermittent and transient engine operation in hybrid vehicles can be used to account for impact of emissions in comparative vehicle systems studies. Future plans with models for other devices such as particulate filters, diesel oxidation and selective reduction catalysts are also discussed.

Gao, Zhiming [ORNL; Chakravarthy, Veerathu K [ORNL; Daw, C Stuart [ORNL

2011-01-01T23:59:59.000Z

174

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

175

Alcohol-fueled vehicles: An alternative fuels vehicle, emissions, and refueling infrastructure technology assessment  

Science Conference Proceedings (OSTI)

Interest in alternative motor vehicle fuels has grown tremendously over the last few years. The 1990 Clean Air Act Amendments, the National Energy Policy Act of 1992 and the California Clean Air Act are primarily responsible for this resurgence and have spurred both the motor fuels and vehicle manufacturing industries into action. For the first time, all three U.S. auto manufacturers are offering alternative fuel vehicles to the motoring public. At the same time, a small but growing alternative fuels refueling infrastructure is beginning to develop across the country. Although the recent growth in alternative motor fuels use is impressive, their market niche is still being defined. Environmental regulations, a key driver behind alternative fuel use, is forcing both car makers and the petroleum industry to clean up their products. As a result, alternative fuels no longer have a lock on the clean air market and will have to compete with conventional vehicles in meeting stringent future vehicle emission standards. The development of cleaner burning gasoline powered vehicles has signaled a shift in the marketing of alternative fuels. While they will continue to play a major part in the clean vehicle market, alternative fuels are increasingly recognized as a means to reduce oil imports. This new role is clearly defined in the National Energy Policy Act of 1992. The Act identifies alternative fuels as a key strategy for reducing imports of foreign oil and mandates their use for federal and state fleets, while reserving the right to require private and municipal fleet use as well.

McCoy, G.A.; Kerstetter, J.; Lyons, J.K. [and others

1993-06-01T23:59:59.000Z

176

Collect Data to Evaluate Greenhouse Gas Emissions Profile for Vehicles and  

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

Vehicles and Mobile Equipment Vehicles and Mobile Equipment Collect Data to Evaluate Greenhouse Gas Emissions Profile for Vehicles and Mobile Equipment October 7, 2013 - 11:34am Addthis YOU ARE HERE Step 2 Data needs for greenhouse gas (GHG) mitigation planning related to Federal agency vehicles and mobile equipment can be described in terms of five key categories: Vehicle Inventory A detailed vehicle profile is essential to right-sizing an agency's vehicle inventory and thereby reducing fuel use, emissions, and operating costs. In combination with vehicle usage and mission data, this information can be used to develop an optimal vehicle acquisition plan and vehicle allocation methodology (VAM) to identify vehicles that may represent good candidates for reassignment or disposal. This data assists in correctly sizing a fleet

177

Modeling Electric Vehicle Benefits Connected to Smart Grids  

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

Modeling Electric Vehicle Benefits Connected to Smart Grids Modeling Electric Vehicle Benefits Connected to Smart Grids Title Modeling Electric Vehicle Benefits Connected to Smart Grids Publication Type Conference Paper Year of Publication 2011 Authors Stadler, Michael, Chris Marnay, Ratnesh Sharma, Gonçalo Mendes, Maximillian Kloess, Gonçalo Cardoso, Olivier Mégel, and Afzal S. Siddiqui Conference Name 7th IEEE Vehicle Power and Propulsion Conference Date Published 09/2011 Publisher LBNL Conference Location Chicago, IL Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract Connecting electric storage technologies to smartgrids will have substantial implications in building energy systems. Local storage will enable demand response. Mobile storage devices in electric vehicles (EVs) are in direct competition with conventional stationary sources at the building. EVs will change the financial as well as environmental attractiveness of on-site generation (e.g. PV, or fuel cells). In order to examine the impact of EVs on building energy costs and CO2 emissions in 2020, a distributed-energy-resources adoption problem is formulated as a mixed-integer linear program with minimization of annual building energy costs or CO2 emissions. The mixed-integer linear program is applied to a set of 139 different commercial buildings in California and example results as well as the aggregated economic and environmental benefits are reported. The research shows that considering second life of EV batteries might be very beneficial for commercial buildings.

178

Alternative fuel vehicles: The emerging emissions picture. Interim results, Summer 1996  

DOE Green Energy (OSTI)

In this pamphlet, program goal, description, vehicles/fuels tested, and selected emissions results are given for light-duty and heavy-duty vehicles. Other NREL R&D programs and publications are mentioned briefly.

NONE

1996-10-01T23:59:59.000Z

179

The origin of California’s zero emission vehicle mandate  

E-Print Network (OSTI)

Sperling, D. , 1989. Electric vehicles: performance, life-in California: The Role of Electric Vehicles. The ClaremontGM’s Revolutionary Electric Vehicle. Random House, New York.

Sperling, Dan; Collantes, Gustavo O

2008-01-01T23:59:59.000Z

180

Electric Vehicles: Performances, Life Cycle Costs, Emissions, and Recharging Requirements  

E-Print Network (OSTI)

Sealed lead-acid electric and vehicle battery development.A. (1987a) ture for electric vehicles. In Resources ElectricInternational Conference. Electric Vehicle De- Universityof

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

1989-01-01T23:59:59.000Z

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

Emission Control Cost-Effectiveness of Alternative-Fuel Vehicles  

E-Print Network (OSTI)

Effects of Compressed Natural Gas as a VehicleFuel-Volumepetroleumgas, compressed natural gas, and electricity.fuel vehicle types, compressed natural gas vehicles are the

Wang, Quanlu; Sperling, Daniel; Olmstead, Janis

1993-01-01T23:59:59.000Z

182

Feebates and Fuel Economy Standards: Impacts on Fuel Use in Light-Duty Vehicles and Greenhouse Gas Emissions  

Science Conference Proceedings (OSTI)

This study evaluates the potential impacts of a national feebate system, a market-based policy that consists of graduated fees on low-fuel-economy (or high-emitting) vehicles and rebates for high-fuel-economy (or lowemitting) vehicles. In their simplest form, feebate systems operate under three conditions: a benchmark divides all vehicles into two categories-those charged fees and those eligible for rebates; the sizes of the fees and rebates are a function of a vehicle's deviation from its benchmark; and placement of the benchmark ensures revenue neutrality or a desired level of subsidy or revenue. A model developed by the University of California for the California Air Resources Board was revised and used to estimate the effects of six feebate structures on fuel economy and sales of new light-duty vehicles, given existing and anticipated future fuel economy and emission standards. These estimates for new vehicles were then entered into a vehicle stock model that simulated the evolution of the entire vehicle stock. The results indicate that feebates could produce large, additional reductions in emissions and fuel consumption, in large part by encouraging market acceptance of technologies with advanced fuel economy, such as hybrid electric vehicles.

Greene, David L [ORNL

2011-01-01T23:59:59.000Z

183

On-Road Remote Sensing of Vehicle Exhaust Emissions in Auckland, New Zealand  

E-Print Network (OSTI)

On-Road Remote Sensing of Vehicle Exhaust Emissions in Auckland, New Zealand S. Xie, J. G. Bluett Zealand's vehicle fleet. The remote sensing campaign was implemented to establish the emissions profile of this remote sensing campaign was to redress this knowledge gap, improve understanding of the emissions

Denver, University of

184

Regulatory Impediments to Neighborhood Electric Vehicles: Safety Standards and Zero-Emission Vehicle Rules  

E-Print Network (OSTI)

to Neighborhood Electric Vehicles: Safety Standardsand Zero-to Neighborhood Electric Vehicles: Safety Standards andto Neighborhood Electric Vehicles: Safety Standards and

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

1994-01-01T23:59:59.000Z

185

Regulatory Impediments to Neighborhood Electric Vehicles: Safety Standards and Zero-Emission Vehicle Rules  

E-Print Network (OSTI)

to Neighborhood Electric Vehicles: Safety Standardsand Zero-to Neighborhood Electric Vehicles: Safety Standards andto Neighborhood Electric Vehicles: Safety Standards and

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

2001-01-01T23:59:59.000Z

186

Zero-Emission Vehicle Scenario Cost Analysis Using A Fuzzy Set-Based Framework  

E-Print Network (OSTI)

industry experts believe that new vehicle designs based on fuel cells, electricElectric Power Research Institute, Pricing for Success: Using Auto Industry Models to Review Electric Vehicle

Lipman, Timothy Edward

1999-01-01T23:59:59.000Z

187

Desulfurization Effects on a Light-Duty Diesel Vehicle NOx Adsorber Exhaust Emission Control System  

DOE Green Energy (OSTI)

Analyzes the effects on gaseous emissions, before and after desulfurization, on a light-duty diesel vehicle with a NOx adsorber catalyst.

Tatur, M.; Tomazic, D.; Tyrer, H.; Thornton, M.; Kubsh, J.

2006-05-01T23:59:59.000Z

188

Model Year 2003 SmartWay Vehicles  

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

SmartWay Vehicles Page 1 of 2 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay...

189

Model Year 2010 SmartWay Vehicles  

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

SmartWay Vehicles Page 1 of 20 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score...

190

Model Year 2009 SmartWay Vehicles  

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

SmartWay Vehicles Page 1 of 16 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas...

191

Model Year 2001 SmartWay Vehicles  

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

SmartWay Vehicles Page 1 of 1 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG GHG Score SmartWay HONDA Accord...

192

Model Year 2012 SmartWay Vehicles  

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

SmartWay Vehicles Page 1 of 14 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas...

193

Model Year 2007 SmartWay Vehicles  

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

SmartWay Vehicles Page 1 of 18 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay...

194

Model Year 2000 SmartWay Vehicles  

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

SmartWay Vehicles Page 1 of 1 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG GHG Score...

195

Model Year 2011 SmartWay Vehicles  

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

SmartWay Vehicles Page 1 of 10 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas...

196

Model Year 2008 SmartWay Vehicles  

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

SmartWay Vehicles Page 1 of 20 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay...

197

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

DOE Green Energy (OSTI)

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

Wang, M.Q.

1993-12-31T23:59:59.000Z

198

Fuel Economy and Emissions of a Vehicle Equipped with an Aftermarket Flexible-Fuel Conversion Kit  

DOE Green Energy (OSTI)

The U.S. Environmental Protection Agency (EPA) grants Certificates of Conformity for alternative fuel conversion systems and also offers other forms of premarket registration of conversion kits for use in vehicles more than two model years old. Use of alternative fuels such as ethanol, natural gas, and propane are encouraged by the Energy Policy Act of 1992. Several original equipment manufacturers (OEMs) produce emissions-certified vehicles capable of using alternative fuels, and several alternative fuel conversion system manufacturers produce EPA-approved conversion systems for a variety of alternative fuels and vehicle types. To date, only one manufacturer (Flex Fuel U.S.) has received EPA certifications for ethanol fuel (E85) conversion kits. This report details an independent evaluation of a vehicle with a legal installation of a Flex Fuel U.S. conversion kit. A 2006 Dodge Charger was baseline tested with ethanol-free certification gasoline (E0) and E20 (gasoline with 20 vol % ethanol), converted to flex-fuel operation via installation of a Flex Box Smart Kit from Flex Fuel U.S., and retested with E0, E20, E50, and E81. Test cycles included the Federal Test Procedure (FTP or city cycle), the highway fuel economy test (HFET), and the US06 test (aggressive driving test). Averaged test results show that the vehicle was emissions compliant on E0 in the OEM condition (before conversion) and compliant on all test fuels after conversion. Average nitrogen oxide (NOx) emissions exceeded the Tier 2/Bin 5 intermediate life NO{sub X} standard with E20 fuel in the OEM condition due to two of three test results exceeding this standard [note that E20 is not a legal fuel for non-flexible-fuel vehicles (non-FFVs)]. In addition, one E0 test result before conversion and one E20 test result after conversion exceeded the NOX standard, although the average result in these two cases was below the standard. Emissions of ethanol and acetaldehyde increased with increasing ethanol, while nonmethane organic gas and CO emissions remained relatively unchanged for all fuels and cycles. Higher fraction ethanol blends appeared to decrease NO{sub X} emissions on the FTP and HFET (after conversion). As expected, fuel economy (miles per gallon) decreased with increasing ethanol content in all cases.

Thomas, John F [ORNL; Huff, Shean P [ORNL; West, Brian H [ORNL

2012-04-01T23:59:59.000Z

199

Projected Cost, Energy Use, and Emissions of Hydrogen Technologies for Fuel Cell Vehicles  

SciTech Connect

Each combination of technologies necessary to produce, deliver, and distribute hydrogen for transportation use has a corresponding levelized cost, energy requirement, and greenhouse gas emission profile depending upon the technologies' efficiencies and costs. Understanding the technical status, potential, and tradeoffs is necessary to properly allocate research and development (R&D) funding. In this paper, levelized delivered hydrogen costs, pathway energy use, and well-to-wheels (WTW) energy use and emissions are reported for multiple hydrogen production, delivery, and distribution pathways. Technologies analyzed include both central and distributed reforming of natural gas and electrolysis of water, and central hydrogen production from biomass and coal. Delivery options analyzed include trucks carrying liquid hydrogen and pipelines carrying gaseous hydrogen. Projected costs, energy use, and emissions for current technologies (technology that has been developed to at least the bench-scale, extrapolated to commercial-scale) are reported. Results compare favorably with those for gasoline, diesel, and E85 used in current internal combustion engine (ICE) vehicles, gasoline hybrid electric vehicles (HEVs), and flexible fuel vehicles. Sensitivities of pathway cost, pathway energy use, WTW energy use, and WTW emissions to important primary parameters were examined as an aid in understanding the benefits of various options. Sensitivity studies on production process energy efficiency, total production process capital investment, feed stock cost, production facility operating capacity, electricity grid mix, hydrogen vehicle market penetration, distance from the hydrogen production facility to city gate, and other parameters are reported. The Hydrogen Macro-System Model (MSM) was used for this analysis. The MSM estimates the cost, energy use, and emissions trade offs of various hydrogen production, delivery, and distribution pathways under consideration. The MSM links the H2A Production Model, the Hydrogen Delivery Scenario Analysis Model (HDSAM), and the Greenhouse Gas, Regulated Emission, and Energy for Transportation (GREET) Model. The MSM utilizes the capabilities of each component model and ensures the use of consistent parameters between the models to enable analysis of full hydrogen production, delivery, and distribution pathways. To better understand spatial aspects of hydrogen pathways, the MSM is linked to the Hydrogen Demand and Resource Analysis Tool (HyDRA). The MSM is available to the public and enables users to analyze the pathways and complete sensitivity analyses.

Ruth, M. F.; Diakov, V.; Laffen, M. J.; Timbario, T. A.

2010-01-01T23:59:59.000Z

200

Modeling Electric Vehicle Benefits Connected to Smart Grids  

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

Electric Vehicle Benefits Connected to Smart Grids Title Modeling Electric Vehicle Benefits Connected to Smart Grids Publication Type Conference Proceedings LBNL Report Number...

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

Plug-in hybrid electric vehicles: battery degradation, grid support, emissions, and battery size tradeoffs  

E-Print Network (OSTI)

with 85% ethanol EIA ­ Energy Information Administration EVSE ­ Electric vehicle supply equipment gPlug-in hybrid electric vehicles: battery degradation, grid support, emissions, and battery size to get this thesis finished. #12;iv Intentionally blank #12;v Abstract Plug-in hybrid electric vehicles

202

Modelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles  

E-Print Network (OSTI)

of emissions to global climate change. Although electric cars and buses have been the focus of much of electricModelling and Design Optimization of Low Speed Fuel Cell Hybrid Electric Vehicles by Matthew Blair Supervisors: Dr. Zuomin Dong ABSTRACT Electric vehicles, as an emerging transportation platform, have been

Victoria, University of

203

Electric Vehicles: Performances, Life Cycle Costs, Emissions, and Recharging Requirements  

E-Print Network (OSTI)

Table3 to the incre- no oil costs, and that Na/S batteries,costs, of vehicle’s Oil costs, percent ofgasoline vehicle’stires are (M&R) costs (we exclude fires and oil) than ICEVs,

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

1989-01-01T23:59:59.000Z

204

California Greenhouse Gas Emissions Standards for Light-Duty Vehicles (Update) (released in AEO2006)  

Reports and Publications (EIA)

The State of California was given authority under CAAA90 to set emissions standards for light-duty vehicles that exceed Federal standards. In addition, other States that do not comply with the National Ambient Air Quality Standards (NAAQS) set by the EPA under CAAA90 were given the option to adopt Californias light-duty vehicle emissions standards in order to achieve air quality compliance. CAAA90 specifically identifies hydrocarbon, carbon monoxide, and NOx as vehicle-related air pollutants that can be regulated. California has led the Nation in developing stricter vehicle emissions standards, and other States have adopted the California standards.

Information Center

2006-02-01T23:59:59.000Z

205

Analyze Data to Evaluate Greenhouse Gas Emissions Profile for Vehicles and  

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

Vehicles and Mobile Equipment Vehicles and Mobile Equipment Analyze Data to Evaluate Greenhouse Gas Emissions Profile for Vehicles and Mobile Equipment October 7, 2013 - 11:36am Addthis YOU ARE HERE Step 2 After a Federal agency has collected detailed information about its vehicle inventory, fuel consumption, usage, mission, and alternative fuel availability, it can analyze the data to determine the most cost-effective options for petroleum reduction and greenhouse gas (GHG) mitigation. Data can be analyzed at the agency, program, fleet (or site), or vehicle level for the following purposes: Determining the most important mobile emission sources Determining whether vehicles are performing and being utilized to minimize GHG emissions Identifying mission constraints. Next Step After analyzing data for evaluating an emissions profile, the next step in

206

Zero-emission vehicle technology assessment. Final report  

DOE Green Energy (OSTI)

This is the final report in the Zero-Emission Vehicle (ZEV) Technology Assessment, performed for NYSERDA by Booz-Allen & Hamilton Inc. Booz-Allen wrote the final report, and performed the following tasks as part of the assessment: assembled a database of key ZEV organizations, their products or services, and plans; described the current state of ZEV technologies; identified barriers to widespread ZEV deployment and projected future ZEV technical capabilities; and estimated the cost of ZEVs from 1998 to 2004. Data for the ZEV Technology Assessment were obtained from several sources, including the following: existing ZEV industry publications and Booz-Allen files; major automotive original equipment manufacturers; independent electric vehicle manufacturers; battery developers and manufacturers; infrastructure and component developers and manufacturers; the U.S. Department of Energy, the California Air Resources Board, and other concerned government agencies; trade associations such as the Electric Power Research Institute and the Electric Transportation Coalition; and public and private consortia. These sources were contacted by phone, mail, or in person. Some site visits of manufacturers also were conducted. Where possible, raw data were analyzed by Booz-Allen staff and/or verified by independent sources. Performance data from standardized test cycles were used as much as possible.

Woods, T.

1995-08-01T23:59:59.000Z

207

Light-Duty Alternative Fuel Vehicles: Federal Test Procedure Emissions Results  

DOE Green Energy (OSTI)

In support of the U.S. Department of Energy's development and deployment of alternative fuels for environmental and national security reasons, NREL has managed a series of light-duty vehicle emissions tests on alternative fuel vehicles (AFVs). The purpose of this report is to give a detailed evaluation of the final emissions test results on vehicles tested on methanol, ethanol, and compressed natural gas.

Kelly, K.; Eudy, L.; Coburn, T.

1999-12-13T23:59:59.000Z

208

Additional Development of a Dedicated Liquefied Petroleum Gas (LPG) Ultra Low Emissions Vehicle (ULEV)  

DOE Green Energy (OSTI)

This report describes the last in a series of three projects designed to develop a commercially competitive LPG light-duty passenger car that meets California ULEV standards and corporate average fuel economy (CAFE) energy efficiency guidelines for such a vehicle. In this project, IMPCO upgraded the vehicle's LPG vapor fuel injection system and performed emissions testing. The vehicle met the 1998 ULEV standards successfully, demonstrating the feasibility of meeting ULEV standards with a dedicated LPG vehicle.

IMPCO Technologies

1998-10-28T23:59:59.000Z

209

Additional Development of a Dedicated Liquefied Petroleum Gas (LPG) Ultra Low Emissions Vehicle (ULEV)  

SciTech Connect

This report describes the last in a series of three projects designed to develop a commercially competitive LPG light-duty passenger car that meets California ULEV standards and corporate average fuel economy (CAFE) energy efficiency guidelines for such a vehicle. In this project, IMPCO upgraded the vehicle's LPG vapor fuel injection system and performed emissions testing. The vehicle met the 1998 ULEV standards successfully, demonstrating the feasibility of meeting ULEV standards with a dedicated LPG vehicle.

IMPCO Technologies

1998-10-28T23:59:59.000Z

210

Impacts of ethanol fuel level on emissions of regulated and unregulated pollutants from a fleet of gasoline light-duty vehicles  

SciTech Connect

The study investigated the impact of ethanol blends on criteria emissions (THC, NMHC, CO, NOx), greenhouse gas (CO2), and a suite of unregulated pollutants in a fleet of gasoline-powered light-duty vehicles. The vehicles ranged in model year from 1984 to 2007 and included one Flexible Fuel Vehicle (FFV). Emission and fuel consumption measurements were performed in duplicate or triplicate over the Federal Test Procedure (FTP) driving cycle using a chassis dynamometer for four fuels in each of seven vehicles. The test fuels included a CARB phase 2 certification fuel with 11% MTBE content, a CARB phase 3 certification fuel with a 5.7% ethanol content, and E10, E20, E50, and E85 fuels. In most cases, THC and NMHC emissions were lower with the ethanol blends, while the use of E85 resulted in increases of THC and NMHC for the FFV. CO emissions were lower with ethanol blends for all vehicles and significantly decreased for earlier model vehicles. Results for NOx emissions were mixed, with some older vehicles showing increases with increasing ethanol level, while other vehicles showed either no impact or a slight, but not statistically significant, decrease. CO2 emissions did not show any significant trends. Fuel economy showed decreasing trends with increasing ethanol content in later model vehicles. There was also a consistent trend of increasing acetaldehyde emissions with increasing ethanol level, but other carbonyls did not show strong trends. The use of E85 resulted in significantly higher formaldehyde and acetaldehyde emissions than the specification fuels or other ethanol blends. BTEX and 1,3-butadiene emissions were lower with ethanol blends compared to the CARB 2 fuel, and were almost undetectable from the E85 fuel. The largest contribution to total carbonyls and other toxics was during the cold-start phase of FTP.

Karavalakis, Georgios; Durbin, Thomas; Shrivastava, ManishKumar B.; Zheng, Zhongqing; Villella, Phillip M.; Jung, Hee-Jung

2012-03-30T23:59:59.000Z

211

The Crafting of the National Low-Emission Vehicle Program: a Private Contract Theory of Public Rulemaking  

E-Print Network (OSTI)

and industry associations repre- senting service stations, vehicle dealerships, gas companies, emission control equip- ment manufacturers, electric

Fern, Danielle F.

1997-01-01T23:59:59.000Z

212

Vietnam-Integrated Action Plan to Reduce Vehicle Emissions | Open Energy  

Open Energy Info (EERE)

Vietnam-Integrated Action Plan to Reduce Vehicle Emissions Vietnam-Integrated Action Plan to Reduce Vehicle Emissions Jump to: navigation, search Name Vietnam-Integrated Action Plan to Reduce Vehicle Emissions Agency/Company /Organization Asian Development Bank Focus Area Transportation Topics Implementation, Policies/deployment programs, Background analysis Resource Type Guide/manual Website http://www.adb.org/documents/o Program Start 2002 Country Vietnam UN Region South-Eastern Asia References Vietnam-Integrated Action Plan to Reduce Vehicle Emissions[1] Background "A major goal of this strategy is to reduce mobile sources of air pollution in Viet Nam's largest cities. According to this strategy, industry, business units, management agencies and the transport sector must carefully control pollutant emissions such as carbon monoxide (CO), carbon dioxide

213

Greenhouse Emission Reductions and Natural Gas Vehicles: A Resource Guide on Technology Options and Project Development  

Science Conference Proceedings (OSTI)

Accurate and verifiable emission reductions are a function of the degree of transparency and stringency of the protocols employed in documenting project- or program-associated emissions reductions. The purpose of this guide is to provide a background for law and policy makers, urban planners, and project developers working with the many Greenhouse Gas (GHG) emission reduction programs throughout the world to quantify and/or evaluate the GHG impacts of Natural Gas Vehicle (NGVs). In order to evaluate the GHG benefits and/or penalties of NGV projects, it is necessary to first gain a fundamental understanding of the technology employed and the operating characteristics of these vehicles, especially with regard to the manner in which they compare to similar conventional gasoline or diesel vehicles. Therefore, the first two sections of this paper explain the basic technology and functionality of NGVs, but focus on evaluating the models that are currently on the market with their similar conventional counterparts, including characteristics such as cost, performance, efficiency, environmental attributes, and range. Since the increased use of NGVs, along with Alternative Fuel Vehicle (AFVs) in general, represents a public good with many social benefits at the local, national, and global levels, NGVs often receive significant attention in the form of legislative and programmatic support. Some states mandate the use of NGVs, while others provide financial incentives to promote their procurement and use. Furthermore, Federal legislation in the form of tax incentives or procurement requirements can have a significant impact on the NGV market. In order to implement effective legislation or programs, it is vital to have an understanding of the different programs and activities that already exist so that a new project focusing on GHG emission reduction can successfully interact with and build on the experience and lessons learned of those that preceded it. Finally, most programs that deal with passenger vehicles--and with transportation in general--do not address the climate change component explicitly, and thus there are few GHG reduction goals that are included in these programs. Furthermore, there are relatively few protocols that exist for accounting for the GHG emissions reductions that arise from transportation and, specifically, passenger vehicle projects and programs. These accounting procedures and principles gain increased importance when a project developer wishes to document in a credible manner, the GHG reductions that are achieved by a given project or program. Section four of this paper outlined the GHG emissions associated with NGVs, both upstream and downstream, and section five illustrated the methodology, via hypothetical case studies, for measuring these reductions using different types of baselines. Unlike stationary energy combustion, GHG emissions from transportation activities, including NGV projects, come from dispersed sources creating a need for different methodologies for assessing GHG impacts. This resource guide has outlined the necessary context and background for those parties wishing to evaluate projects and develop programs, policies, projects, and legislation aimed at the promotion of NGVs for GHG emission reduction.

Orestes Anastasia; NAncy Checklick; Vivianne Couts; Julie Doherty; Jette Findsen; Laura Gehlin; Josh Radoff

2002-09-01T23:59:59.000Z

214

Overview of China's Vehicle Emission Control Program: Past Successes and  

Open Energy Info (EERE)

Overview of China's Vehicle Emission Control Program: Past Successes and Overview of China's Vehicle Emission Control Program: Past Successes and Future Prospects Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Overview of China's Vehicle Emission Control Program: Past Successes and Future Prospects Focus Area: Propane Topics: Socio-Economic Website: theicct.org/sites/default/files/publications/Retrosp_final_bilingual.p Equivalent URI: cleanenergysolutions.org/content/overview-china's-vehicle-emission-con Language: "English,Chinese" is not in the list of possible values (Abkhazian, Achinese, Acoli, Adangme, Adyghe; Adygei, Afar, Afrihili, Afrikaans, Afro-Asiatic languages, Ainu, Akan, Akkadian, Albanian, Aleut, Algonquian languages, Altaic languages, Amharic, Angika, Apache languages, Arabic, Aragonese, Arapaho, Arawak, Armenian, Aromanian; Arumanian; Macedo-Romanian, Artificial languages, Assamese, Asturian; Bable; Leonese; Asturleonese, Athapascan languages, Australian languages, Austronesian languages, Avaric, Avestan, Awadhi, Aymara, Azerbaijani, Balinese, Baltic languages, Baluchi, Bambara, Bamileke languages, Banda languages, Bantu (Other), Basa, Bashkir, Basque, Batak languages, Beja; Bedawiyet, Belarusian, Bemba, Bengali, Berber languages, Bhojpuri, Bihari languages, Bikol, Bini; Edo, Bislama, Blin; Bilin, Blissymbols; Blissymbolics; Bliss, Bosnian, Braj, Breton, Buginese, Bulgarian, Buriat, Burmese, Caddo, Catalan; Valencian, Caucasian languages, Cebuano, Celtic languages, Central American Indian languages, Central Khmer, Chagatai, Chamic languages, Chamorro, Chechen, Cherokee, Cheyenne, Chibcha, Chichewa; Chewa; Nyanja, Chinese, Chinook jargon, Chipewyan; Dene Suline, Choctaw, Chuukese, Chuvash, Classical Newari; Old Newari; Classical Nepal Bhasa, Classical Syriac, Coptic, Cornish, Corsican, Cree, Creek, Creoles and pidgins , Crimean Tatar; Crimean Turkish, Croatian, Cushitic languages, Czech, Dakota, Danish, Dargwa, Delaware, Dinka, Divehi; Dhivehi; Maldivian, Dogri, Dogrib, Dravidian languages, Duala, Dutch; Flemish, Dyula, Dzongkha, Eastern Frisian, Efik, Egyptian (Ancient), Ekajuk, Elamite, English, Erzya, Esperanto, Estonian, Ewe, Ewondo, Fang, Fanti, Faroese, Fijian, Filipino; Pilipino, Finnish, Finno-Ugrian languages, Fon, French, Friulian, Fulah, Ga, Gaelic; Scottish Gaelic, Galibi Carib, Galician, Ganda, Gayo, Gbaya, Geez, Georgian, German, Germanic languages, Gilbertese, Gondi, Gorontalo, Gothic, Grebo, Greek, Modern, Guarani, Gujarati, Gwich'in, Haida, Haitian; Haitian Creole, Hausa, Hawaiian, Hebrew, Herero, Hiligaynon, Himachali languages; Western Pahari languages, Hindi, Hiri Motu, Hittite, Hmong; Mong, Hungarian, Hupa, Iban, Icelandic, Ido, Igbo, Ijo languages, Iloko, Inari Sami, Indic languages, Indo-European languages, Indonesian, Ingush, Interlingue; Occidental, Inuktitut, Inupiaq, Iranian languages, Irish, Iroquoian languages, Italian, Japanese, Javanese, Judeo-Arabic, Judeo-Persian, Kabardian, Kabyle, Kachin; Jingpho, Kalaallisut; Greenlandic, Kalmyk; Oirat, Kamba, Kannada, Kanuri, Kara-Kalpak, Karachay-Balkar, Karelian, Karen languages, Kashmiri, Kashubian, Kawi, Kazakh, Khasi, Khoisan languages, Khotanese; Sakan, Kikuyu; Gikuyu, Kimbundu, Kinyarwanda, Kirghiz; Kyrgyz, Klingon; tlhIngan-Hol, Komi, Kongo, Konkani, Korean, Kosraean, Kpelle, Kru languages, Kuanyama; Kwanyama, Kumyk, Kurdish, Kurukh, Kutenai, Ladino, Lahnda, Lamba, Land Dayak languages, Lao, Latin, Latvian, Lezghian, Limburgan; Limburger; Limburgish, Lingala, Lithuanian, Lojban, Lower Sorbian, Lozi, Luba-Katanga, Luba-Lulua, Luiseno, Lule Sami, Lunda, Luo (Kenya and Tanzania), Lushai, Luxembourgish; Letzeburgesch, Macedonian, Madurese, Magahi, Maithili, Makasar, Malagasy, Malay, Malayalam, Maltese, Manchu, Mandar, Mandingo, Manipuri, Manobo languages, Manx, Maori, Mapudungun; Mapuche, Marathi, Mari, Marshallese, Marwari, Masai, Mayan languages, Mende, Mi'kmaq; Micmac, Minangkabau, Mirandese, Mohawk, Moksha, Mon-Khmer languages, Mongo, Mongolian, Mossi, Multiple languages, Munda languages, N'Ko, Nahuatl languages, Nauru, Navajo; Navaho, Ndebele, North; North Ndebele, Ndebele, South; South Ndebele, Ndonga, Neapolitan, Nepal Bhasa; Newari, Nepali, Nias, Niger-Kordofanian languages, Nilo-Saharan languages, Niuean, North American Indian languages, Northern Frisian, Northern Sami, Norwegian, Nubian languages, Nyamwezi, Nyankole, Nyoro, Nzima, Occitan (post 1500); Provençal, Ojibwa, Oriya, Oromo, Osage, Ossetian; Ossetic, Otomian languages, Pahlavi, Palauan, Pali, Pampanga; Kapampangan, Pangasinan, Panjabi; Punjabi, Papiamento, Papuan languages, Pedi; Sepedi; Northern Sotho, Persian, Philippine languages, Phoenician, Pohnpeian, Polish, Portuguese, Prakrit languages, Pushto; Pashto, Quechua, Rajasthani, Rapanui, Rarotongan; Cook Islands Maori, Romance languages, Romanian; Moldavian; Moldovan, Romansh, Romany, Rundi, Russian, Salishan languages, Samaritan Aramaic, Sami languages, Samoan, Sandawe, Sango, Sanskrit, Santali, Sardinian, Sasak, Scots, Selkup, Semitic languages, Serbian, Serer, Shan, Shona, Sichuan Yi; Nuosu, Sicilian, Sidamo, Sign Languages, Siksika, Sindhi, Sinhala; Sinhalese, Sino-Tibetan languages, Siouan languages, Skolt Sami, Slave (Athapascan), Slavic languages, Slovak, Slovenian, Sogdian, Somali, Songhai languages, Soninke, Sorbian languages, Sotho, Southern, South American Indian (Other), Southern Altai, Southern Sami, Spanish; Castilian, Sranan Tongo, Sukuma, Sumerian, Sundanese, Susu, Swahili, Swati, Swedish, Swiss German; Alemannic; Alsatian, Syriac, Tagalog, Tahitian, Tai languages, Tajik, Tamashek, Tamil, Tatar, Telugu, Tereno, Tetum, Thai, Tibetan, Tigre, Tigrinya, Timne, Tiv, Tlingit, Tok Pisin, Tokelau, Tonga (Nyasa), Tonga (Tonga Islands), Tsimshian, Tsonga, Tswana, Tumbuka, Tupi languages, Turkish, Turkmen, Tuvalu, Tuvinian, Twi, Udmurt, Ugaritic, Uighur; Uyghur, Ukrainian, Umbundu, Uncoded languages, Undetermined, Upper Sorbian, Urdu, Uzbek, Vai, Venda, Vietnamese, Volapük, Votic, Wakashan languages, Walamo, Walloon, Waray, Washo, Welsh, Western Frisian, Wolof, Xhosa, Yakut, Yao, Yapese, Yiddish, Yoruba, Yupik languages, Zande languages, Zapotec, Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki, Zenaga, Zhuang; Chuang, Zulu, Zuni) for this property.

215

Diesel Exhaust Emissions Control for Light-Duty Vehicles  

SciTech Connect

The objective of this paper is to present the results of diesel exhaust aftertreatment testing and analysis done under the FreedomCAR program. Nitrogen Oxides (NOx) adsorber technology was selected based on a previous investigation of various NOx aftertreatment technologies including non-thermal plasma, NOx adsorber and active lean NOx. Particulate Matter (PM) emissions were addressed by developing a catalyzed particulate filter. After various iterations of the catalyst formulation, the aftertreatment components were integrated and optimized for a light duty vehicle application. This compact exhaust aftertreatment system is dual leg and consists of a sulfur trap, NOx adsorbers, and catalyzed particulate filters (CPF). During regeneration, supplementary ARCO ECD low-sulfur diesel fuel is injected upstream of the adsorber and CPF in the exhaust. Steady state and transient emission test results with and without the exhaust aftertreatment system (EAS) are presented. Results of soot filter regeneration by injecting low-sulfur diesel fuel and slip of unregulated emissions, such as NH3, are discussed. Effects of adsorber size and bypass strategy on NOx conversion efficiency and fuel economy penalty are also presented in this paper. The results indicate that if the supplementary fuel injection is optimized, NH3 slip is negligible. During the FTP cycle, injection of low sulfur diesel fuel can create temperature exotherms high enough to regenerate a loaded CPF. With the optimized NOx adsorber regeneration strategies the fuel injection penalty can be reduced by 40 to 50%. Results for various other issues like low temperature light off, reductant optimization, exhaust sulfur management, system integration and design trade-off, are also presented and discussed in this paper. (SAE Paper SAE-2003-01-0041 © 2003 SAE International. This paper is published on this website with permission from SAE International. As a user of this website, you are permitted to view this paper on-line, download this pdf file and print one copy of this paper at no cost for your use only. The downloaded pdf file and printout of this SAE paper may not be copied, distributed or forwarded to others or for the use of others.)

Mital, R.; Li, J.; Huang, S. C.; Stroia, B. J.; Yu, R. C. (Cummins, Inc.); Anderson, J.A. (Argonne National Laboratory); Howden, Kenneth C. (U.S. Department of Energy)

2003-03-01T23:59:59.000Z

216

Fuel-cycle energy and emissions impacts of tripled fuel economy vehicles  

DOE Green Energy (OSTI)

This paper presents estimates of the full cycle energy and emissions impacts of light-duty vehicles with tripled fuel economy (3X vehicles) as currently being developed by the Partnership for a New Generation of Vehicles (PNGV). Seven engine and fuel combinations were analyzed: reformulated gasoline, methanol, and ethanol in spark-ignition, direct-injection engines; low sulfur diesel and dimethyl ether in compression-ignition, direct-injection engines; and hydrogen and methanol in fuel-cell vehicles. The fuel efficiency gain by 3X vehicles translated directly into reductions in total energy demand, petroleum demand, and carbon dioxide emissions. The combination of fuel substitution and fuel efficiency resulted in substantial reductions in emissions of nitrogen oxide, carbon monoxide, volatile organic compounds, sulfur oxide, and particulate matter smaller than 10 microns, particularly under the High Market Share Scenario.

Mintz, M.M.; Wang, M.Q.; Vyas, A.D.

1998-12-31T23:59:59.000Z

217

DOD/NREL Model Integrates Vehicles, Renewables & Microgrid (Fact Sheet)  

DOE Green Energy (OSTI)

Fact sheet on microgrid model created by the Electric Vehicle Grid Integration program at the Fort Carson Army facility.

Not Available

2011-02-01T23:59:59.000Z

218

Equivalent circuit modeling of hybrid electric vehicle drive train  

E-Print Network (OSTI)

The main goals of the advanced vehicles designer are to improve efficiency, to decrease emissions and to meet customer's requirements. The design of such vehicles is challenging and cannot efficiently be achieved without an appropriate tool. The objective of this work is to develop and validate a modeling and design method adapted to advanced vehicles conception. The designer, as a system engineer, needs performances predictions and physical understanding of the system dynamics. In order to achieve this objective, a methodology based on electrical analogies and transducers theory is presented in this work. Using the powerful circuit theory to solve multi-disciplinary problems is not revolutionary, but applied to the design of advanced vehicles, it brings a strong insight and a visual, intuitive interpretation of the set of differential equations. The equivalent circuit obtained from this method offers an elegant alternative to traditional methods and is especially adapted to the study of the interactions between the mechanical and the electrical side of any electromechanical system.

Routex, Jean-Yves

2001-01-01T23:59:59.000Z

219

An Emission Saved is an Emission Earned: An Empirical Study of Emission Banking for Light-Duty Vehicle Manufacturers  

E-Print Network (OSTI)

costs across vehicles and manufacturers are equal. In thefor individual vehicles and manufacturers differ from thefor Light-Duty Vehicle Manufacturers Jonathan D. Rubin

Rubin, Jonathan D.; Kling, Catherine

1993-01-01T23:59:59.000Z

220

Regulatory Control of Vehicle and Power Plant Emissions: How Effective and at What Cost?  

E-Print Network (OSTI)

Passenger vehicles and power plants are major sources of greenhouse gas emissions. While economic analyses generally indicate that a broader market-based approach to greenhouse gas reduction would be less costly and more ...

Paltsev, S.

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

A Multi-Country Analysis of Lifecycle Emissions From Transportation Fuels and Motor Vehicles  

E-Print Network (OSTI)

171 Emissions related to the use of lubricating oil by motoruse of lubricating oil by motor vehicles The LEM estimatesoil refining to gasoline), the efficiency of fuel use by motor

Delucchi, Mark

2005-01-01T23:59:59.000Z

222

A MULTI-COUNTRY ANALYSIS OF LIFECYCLE EMISSIONS FROM TRANSPORTATION FUELS AND MOTOR VEHICLES  

E-Print Network (OSTI)

171 Emissions related to the use of lubricating oil by motoruse of lubricating oil by motor vehicles The LEM estimatesoil refining to gasoline), the efficiency of fuel use by motor

Delucchi, Mark

2005-01-01T23:59:59.000Z

223

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

224

Modeling and Simulation of Electric and Hybrid Vehicles  

E-Print Network (OSTI)

INVITED P A P E R Modeling and Simulation of Electric and Hybrid Vehicles Tools that can model embedded software as well as components, and can automate the details of electric and hybrid vehicle design of electric and hybrid vehicles. Different modeling methods such as physics-based Resistive Companion Form

Mi, Chunting "Chris"

225

Modeling of Future-Year Emissions Control Scenarios for the Lower Fraser Valley: Impacts of Natural Gas and Propane Vehicle Technologies  

Science Conference Proceedings (OSTI)

The MC2–CALGRID photochemical modeling system is used to simulate the impact of two fuel substitution scenarios on ozone levels for a future year in the Lower Fraser Valley of British Columbia, Canada. The relative impacts of selected natural gas ...

M. Hedley; W. Jiang; R. McLaren; D. L. Singleton

1998-10-01T23:59:59.000Z

226

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

227

Vehicle Technologies Office: Fact #783: June 10, 2013 Emissions...  

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

Conventional Internal Combustion Engine Vehicles Gasoline 220 Diesel 210 Natural Gas 200 Corn Ethanol (E85) 170 Cellulosic E85 66 Cellulosic Gasoline 76 Gasoline 170 Hybrid...

228

Model Year 2006: Alternative Fuel and Advanced Technology Vehicles  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

06: Alternative Fuel and Advanced Technology Vehicles 06: Alternative Fuel and Advanced Technology Vehicles Fuel Type EPAct Compliant? Model Vehicle Type Emission Class Powertrain Fuel Capacity Range American Honda Motor Corporation 888-CCHONDA www.honda.com CNG Dedicated EPAct Yes Civic GX Compact Sedan SULEV Tier 2 Bin II 1.7L, 4-cylinder 8 GGE 200 mi HEV (NiMH) EPAct No Accord Hybrid Sedan ULEV 3.0L V6 144 volt NiMH + 17.1 Gal Gasoline TBD HEV (NiMH) EPAct No Civic Hybrid Sedan CA ULEV 1.3L, 4-cylinder 144 volt NiMH + 13.2 Gal Gasoline TBD HEV (NiMH) EPAct No Insight Two-seater SULEV (CVT model) ULEV (MT model) 1.0L, 3-cylinder 144 volt NiMH + 10.6 Gal Gasoline 636 mi DaimlerChrysler 800-999-FLEET www.fleet.chrysler.com E85 FFV EPAct Yes Dodge Ram Pickup 1500 Series 1 Pickup Tier 2 Bin 10A 4.7L V8 26 Gal 416 mi E85 FFV

229

Analysis of Auto Industry and Consumer Response to Regulations and Technological Change, and Customization of Consumer Response Models in Support of AB 1493 Rulemaking: Effect of Emissions Regulation on Vehicle Attributes, Cost, and Price  

E-Print Network (OSTI)

depending on vehicle size and manufacturer ($254-$1684for California vehicles (only early imports) Manufacturerby the manufacturer or purchasers of vehicles in other

Chen, Belinda; Abeles, Ethan C; Burke, Andy; Sperling, Dan

2004-01-01T23:59:59.000Z

230

Well-to-wheels analysis of energy use and greenhouse gas emissions of plug-in hybrid electric vehicles.  

SciTech Connect

Plug-in hybrid electric vehicles (PHEVs) are being developed for mass production by the automotive industry. PHEVs have been touted for their potential to reduce the US transportation sector's dependence on petroleum and cut greenhouse gas (GHG) emissions by (1) using off-peak excess electric generation capacity and (2) increasing vehicles energy efficiency. A well-to-wheels (WTW) analysis - which examines energy use and emissions from primary energy source through vehicle operation - can help researchers better understand the impact of the upstream mix of electricity generation technologies for PHEV recharging, as well as the powertrain technology and fuel sources for PHEVs. For the WTW analysis, Argonne National Laboratory researchers used the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model developed by Argonne to compare the WTW energy use and GHG emissions associated with various transportation technologies to those associated with PHEVs. Argonne researchers estimated the fuel economy and electricity use of PHEVs and alternative fuel/vehicle systems by using the Powertrain System Analysis Toolkit (PSAT) model. They examined two PHEV designs: the power-split configuration and the series configuration. The first is a parallel hybrid configuration in which the engine and the electric motor are connected to a single mechanical transmission that incorporates a power-split device that allows for parallel power paths - mechanical and electrical - from the engine to the wheels, allowing the engine and the electric motor to share the power during acceleration. In the second configuration, the engine powers a generator, which charges a battery that is used by the electric motor to propel the vehicle; thus, the engine never directly powers the vehicle's transmission. The power-split configuration was adopted for PHEVs with a 10- and 20-mile electric range because they require frequent use of the engine for acceleration and to provide energy when the battery is depleted, while the series configuration was adopted for PHEVs with a 30- and 40-mile electric range because they rely mostly on electrical power for propulsion. Argonne researchers calculated the equivalent on-road (real-world) fuel economy on the basis of U.S. Environmental Protection Agency miles per gallon (mpg)-based formulas. The reduction in fuel economy attributable to the on-road adjustment formula was capped at 30% for advanced vehicle systems (e.g., PHEVs, fuel cell vehicles [FCVs], hybrid electric vehicles [HEVs], and battery-powered electric vehicles [BEVs]). Simulations for calendar year 2020 with model year 2015 mid-size vehicles were chosen for this analysis to address the implications of PHEVs within a reasonable timeframe after their likely introduction over the next few years. For the WTW analysis, Argonne assumed a PHEV market penetration of 10% by 2020 in order to examine the impact of significant PHEV loading on the utility power sector. Technological improvement with medium uncertainty for each vehicle was also assumed for the analysis. Argonne employed detailed dispatch models to simulate the electric power systems in four major regions of the US: the New England Independent System Operator, the New York Independent System Operator, the State of Illinois, and the Western Electric Coordinating Council. Argonne also evaluated the US average generation mix and renewable generation of electricity for PHEV and BEV recharging scenarios to show the effects of these generation mixes on PHEV WTW results. Argonne's GREET model was designed to examine the WTW energy use and GHG emissions for PHEVs and BEVs, as well as FCVs, regular HEVs, and conventional gasoline internal combustion engine vehicles (ICEVs). WTW results are reported for charge-depleting (CD) operation of PHEVs under different recharging scenarios. The combined WTW results of CD and charge-sustaining (CS) PHEV operations (using the utility factor method) were also examined and reported. According to the utility factor method, the share of veh

Elgowainy, A.; Han, J.; Poch, L.; Wang, M.; Vyas, A.; Mahalik, M.; Rousseau, A.

2010-06-14T23:59:59.000Z

231

Emission Control Cost-Effectiveness of Alternative-Fuel Vehicles  

E-Print Network (OSTI)

r---1 DF LPG M85 FFV J E85 FFV M100 FFV S/ton (Thousands)Vehicles MI00 DedL Vehicles E85 FFVs LPGVs Dual-Fuel CNGVsM85 Dedi. M1 00 DF LPG M85 FFV E85 FFV M100 FFV S/ton 3O (

Wang, Quanlu; Sperling, Daniel; Olmstead, Janis

1993-01-01T23:59:59.000Z

232

Emission Control Cost-Effectiveness of Alternative-Fuel Vehicles  

E-Print Network (OSTI)

~ of AFVs, Including Air-Toxic Vehicle Type Dedi. CNGDF CNG EV Dedi. M85 EE3 DedL M100 r---1 DF LPG M85 FFV J E85decrease. Vehicle Type Oedi. CNG DF CNG EV Dedi. M85 Dedi.

Wang, Quanlu; Sperling, Daniel; Olmstead, Janis

1993-01-01T23:59:59.000Z

233

Fuel-cycle energy and emissions impacts of tripled fuel-economy vehicles  

DOE Green Energy (OSTI)

This paper presents estimates of the fill fuel-cycle energy and emissions impacts of light-duty vehicles with tripled fuel economy (3X vehicles) as currently being developed by the Partnership for a New Generation of Vehicles (PNGV). Seven engine and fuel combinations were analyzed: reformulated gasoline, methanol, and ethanol in spark-ignition, direct-injection engines; low-sulfur diesel and dimethyl ether in compression-ignition, direct-injection engines; and hydrogen and methanol in fuel-cell vehicles. Results were obtained for three scenarios: a Reference Scenario without PNGVs, a High Market Share Scenario in which PNGVs account for 60% of new light-duty vehicle sales by 2030, and a Low Market Share Scenario in which PNGVs account for half as many sales by 2030. Under the higher of these two, the fuel-efficiency gain by 3X vehicles translated directly into a nearly 50% reduction in total energy demand, petroleum demand, and carbon dioxide emissions. The combination of fuel substitution and fuel efficiency resulted in substantial reductions in emissions of nitrogen oxide (NO{sub x}), carbon monoxide (CO), volatile organic compounds (VOCs), sulfur oxide, (SO{sub x}), and particulate matter smaller than 10 microns (PM{sub 10}) for most of the engine-fuel combinations examined. The key exceptions were diesel- and ethanol-fueled vehicles for which PM{sub 10} emissions increased.

Mintz, M. M.; Vyas, A. D.; Wang, M. Q.

1997-12-18T23:59:59.000Z

234

The impact of electric vehicles on CO[sub 2] emissions  

DOE Green Energy (OSTI)

A number of recent studies have examined the greenhouse gas emissions of various light duty vehicle alternatives in some detail. These studies have highlighted the extreme range of predicted net greenhouse gas emissions depending on scenarios for fuel types, vehicle and power generation efficiencies, the relative greenhouse contributions of emitted gases and a number of uncertainties in fuel chain efficiencies. Despite the potential range of results, most studies have confirmed that electric vehicles generally have significant potential for reducing greenhouse gas emissions relative to gasoline and most alternative fuels under consideration. This report summarizes the results of a study which builds on previous efforts with a particular emphasis on: (1) A detailed analysis of ICEV, FCV, and EV vehicle technology and electric power generation technology. Most previous transportation greenhouse studies have focused on characterization of fuel chains that have relatively high efficiency (65--85%) when compared with power generation (30--40%) and vehicle driveline (13--16%) efficiencies. (2) A direct comparison of EVs, FCVs with gasoline and dedicated alternative fuel, ICEVs using equivalent vehicle technology assumptions with careful attention to likely technology improvements in both types of vehicles. (3) Consideration of fuel cell vehicles and associated hydrogen infrastructure. (4) Extension of analyses for several decades to assess the prospects for EVs with a longer term prospective.

Bentley, J.M.; Teagan, P.; Walls, D.; Balles, E.; Parish, T. (Little (Arthur D.), Inc., Cambridge, MA (United States))

1992-05-01T23:59:59.000Z

235

The impact of electric vehicles on CO{sub 2} emissions. Final report  

DOE Green Energy (OSTI)

A number of recent studies have examined the greenhouse gas emissions of various light duty vehicle alternatives in some detail. These studies have highlighted the extreme range of predicted net greenhouse gas emissions depending on scenarios for fuel types, vehicle and power generation efficiencies, the relative greenhouse contributions of emitted gases and a number of uncertainties in fuel chain efficiencies. Despite the potential range of results, most studies have confirmed that electric vehicles generally have significant potential for reducing greenhouse gas emissions relative to gasoline and most alternative fuels under consideration. This report summarizes the results of a study which builds on previous efforts with a particular emphasis on: (1) A detailed analysis of ICEV, FCV, and EV vehicle technology and electric power generation technology. Most previous transportation greenhouse studies have focused on characterization of fuel chains that have relatively high efficiency (65--85%) when compared with power generation (30--40%) and vehicle driveline (13--16%) efficiencies. (2) A direct comparison of EVs, FCVs with gasoline and dedicated alternative fuel, ICEVs using equivalent vehicle technology assumptions with careful attention to likely technology improvements in both types of vehicles. (3) Consideration of fuel cell vehicles and associated hydrogen infrastructure. (4) Extension of analyses for several decades to assess the prospects for EVs with a longer term prospective.

Bentley, J.M.; Teagan, P.; Walls, D.; Balles, E.; Parish, T. [Little (Arthur D.), Inc., Cambridge, MA (United States)

1992-05-01T23:59:59.000Z

236

NREL: Vehicle Ancillary Loads Reduction - Physiological Model  

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

Physiological Model Physiological Model The Vehicle Ancillary Loads Reduction team developed a three-dimensional model to simulate human internal thermal physiological systems (muscle, blood, etc.) and thermoregulatory responses such as metabolic heat generation. The model was developed with ANSYS, a finite element software which computes heat flow by conduction, convection, and mass transport of the blood. A human tissue system model represents the human body, including the physiological and thermal properties of the tissues. The arms and legs consist of bone, muscle, fat, and skin. There are additional lung, abdominal, and brain tissues in the torso and head zones. The model calculates the conduction heat transfer based on the temperature gradients between the tissue nodes. Blood flow is modeled with a network of supply

237

Model Year 2014 SmartWay Vehicles  

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

SmartWay Vehicles SmartWay Vehicles Updated December 20, 2013* *Vehicles may be added throughout the model year. Please check back for updates. Page 1 of 14 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Smog Rating City MPG Hwy MPG Cmb MPG Greenhouse Gas Rating SmartWay ACURA ILX 1.5 4 SCV-7 2WD Gasoline FA B2 Federal Tier 2 Bin 2 EHNXV01.58D2 small car 9 39 38 38 9 yes ACURA ILX 1.5 4 SCV-7 2WD Gasoline CA PZEV California PZEV EHNXV01.58D2 small car 9 39 38 38 9 yes ACURA ILX 2 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV EHNXV02.0EB3 small car 6 24 35 28 7 yes ACURA RLX 3.5 6 SemiAuto-7 4WD Gasoline FA B3 Federal Tier 2 Bin 3 EHNXV03.52G2 midsize car 7 28 32 30 8 yes ACURA RLX 3.5 6 SemiAuto-7 4WD Gasoline CA L3SULEV30 California LEV-III SULEV30 EHNXV03.52G2 midsize car 8 28 32 30 8 yes ACURA TSX 2.4 4 SemiAuto-5

238

Model Year 2013 SmartWay Vehicles  

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

SmartWay Vehicles SmartWay Vehicles Updated August 14, 2013* *Vehicles may be added throughout the model year. Please check back for updates. Page 1 of 13 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA ILX 1.5 4 SCV-7 2WD Gasoline FC B3 Federal Tier 2 Bin 3 DHNXV01.5WF2 small car 7 39 38 38 9 yes ACURA ILX 1.5 4 SCV-7 2WD Gasoline FA B2 Federal Tier 2 Bin 2 DHNXV01.5YD2 small car 8 39 38 38 9 yes ACURA ILX 1.5 4 SCV-7 2WD Gasoline CA PZEV California PZEV DHNXV01.5YD2 small car 9 39 38 38 9 yes ACURA ILX 2 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV DHNXV02.0CB2 small car 6 24 35 28 7 yes ACURA TSX 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV DHNXV02.4DB3 small car 6 22 31 26 7 yes AUDI A3 2 4 AMS-6 2WD Diesel FA B5 Federal Tier 2 Bin 5

239

Effect of E85 on Tailpipe Emissions from Light-Duty Vehicles  

Science Conference Proceedings (OSTI)

E85, which consists of nominally 85% fuel grade ethanol and 15% gasoline, must be used in flexible-fuel (or 'flexfuel') vehicles (FFVs) that can operate on fuel with an ethanol content of 0-85%. Published studies include measurements of the effect of E85 on tailpipe emissions for Tier 1 and older vehicles. Car manufacturers have also supplied a large body of FFV certification data to the U.S. Environmental Protection Agency, primarily on Tier 2 vehicles. These studies and certification data reveal wide variability in the effects of E85 on emissions from different vehicles. Comparing Tier 1 FFVs running on E85 to similar non-FFVs running on gasoline showed, on average, significant reductions in emissions of oxides of nitrogen (NOx; 54%), non-methane hydrocarbons (NMHCs; 27%), and carbon monoxide (CO; 18%) for E85. Comparing Tier 2 FFVs running on E85 and comparable non-FFVs running on gasoline shows, for E85 on average, a significant reduction in emissions of CO (20%), and no significant effect on emissions of non-methane organic gases (NMOGs). NOx emissions from Tier 2 FFVs averaged approximately 28% less than comparable non-FFVs. However, perhaps because of the wide range of Tier 2 NOx standards, the absolute difference in NOx emissions between Tier 2 FFVs and non-FFVs is not significant (P 0.28). It is interesting that Tier 2 FFVs operating on gasoline produced approximately 13% less NMOGs than non-FFVs operating on gasoline. The data for Tier 1 vehicles show that E85 will cause significant reductions in emissions of benzene and butadiene, and significant increases in emissions of formaldehyde and acetaldehyde, in comparison to emissions from gasoline in both FFVs and non-FFVs. The compound that makes up the largest proportion of organic emissions from E85-fueled FFVs is ethanol.

Yanowitz, J.; McCormick, R. L.

2009-02-01T23:59:59.000Z

240

Vehicle-emission characteristics using mechanically emulsified alcohol/diesel fuels  

Science Conference Proceedings (OSTI)

A light-duty diesel vehicle fueled with an emulsified alcohol/diesel fuel was operated under cyclic mode. Emission and fuel economy measurements were taken during vehicle operation. The test results showed the volumetric fuel economy decreased slightly. Carbon monoxide emissions increased slightly, and oxides of nitrogen showed no significant change. Particulate emissions were reduced slightly, and the particulate extractables increased slightly. The environmental effect of these data cancel each other resulting in no significant changes in the total release of biological activity into the environment.

Allsup, J.R.; Seizinger, D.E.; Cox, F.W.; Brook, A.L.; McClellan, R.O.

1983-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "vehicle emission modeling" 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: Performances, Life Cycle Costs, Emissions, and Recharging Requirements  

E-Print Network (OSTI)

P. Davis I. (1988) R. ETX-II propulsion system industry..,sulfur batteryfor the ETX-II propuLsion system. Proca. ,9thsulphur battery, in the ETX-II test vehicle. The ETX-II test

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

1989-01-01T23:59:59.000Z

242

The origin of California’s zero emission vehicle mandate  

E-Print Network (OSTI)

them. Staff estimates of battery costs were questioned, how-has always been battery technology and costs. In 1990, whenmate of the additional cost of a battery electric vehicle,

Sperling, Dan; Collantes, Gustavo O

2008-01-01T23:59:59.000Z

243

Emissions results for dedicated propane Chrysler minivans: the 1996 propane vehicle challenge  

DOE Green Energy (OSTI)

The U.S. Department of Energy (US DOE), through Argonne National Laboratory, and in cooperation with Natural Resources-Canada and Chrysler Canada, sponsored and organized the 1996 Propane Vehicle Challenge (PVC). For this competition , 13 university teams from North America each received a stock Chrysler minivan to be converted to dedicated propane operation while maintaining maximum production feasibility. The converted vehicles were tested for performance (driveability, cold- and hot-start, acceleration, range, and fuel economy) and exhaust emissions. Of the 13 entries for the 1996 PVC, 10 completed all of the events scheduled, including the emissions test. The schools used a variety of fuel-management, fuel-phase and engine-control strategies, but their strategies can be summarized as three main types: liquid fuel-injection, gaseous fuel-injection, and gaseous carburetor. The converted vehicles performed similarly to the gasoline minivan. The University of Windsor`s minivan had the lowest emissions attaining ULEV levels with a gaseous-injected engine. The Texas A&M vehicle, which had a gaseous-fuel injection system, and the GMI Engineering and Management Institute`s vehicle, which had a liquid-injection system both reached LEV levels. Vehicles with an injection fuel system (liquid or gaseous) performed better in terms of emissions than carbureted systems. Liquid injection appeared to be the best option for fuel metering and control for propane, but more research and calibration are necessary to improve the reliability and performance of this design.

Buitrago, C.; Sluder, S.; Larsen, R.

1997-02-01T23:59:59.000Z

244

Development of a dedicated ethanol ultra-low emission vehicle (ULEV) system design  

DOE Green Energy (OSTI)

The objective of this 3.5 year project is to develop a commercially competitive vehicle powered by ethanol (or ethanol blend) that can meet California`s ultra-low emission vehicle (ULEV) standards and equivalent corporate average fuel economy (CAFE) energy efficiency for a light-duty passenger car application. The definition of commercially competitive is independent of fuel cost, but does include technical requirements for competitive power, performance, refueling times, vehicle range, driveability, fuel handling safety, and overall emissions performance. This report summarizes a system design study completed after six months of effort on this project. The design study resulted in recommendations for ethanol-fuel blends that shall be tested for engine low-temperature cold-start performance and other criteria. The study also describes three changes to the engine, and two other changes to the vehicle to improve low-temperature starting, efficiency, and emissions. The three engine changes are to increase the compression ratio, to replace the standard fuel injectors with fine spray injectors, and to replace the powertrain controller. The two other vehicle changes involve the fuel tank and the aftertreatment system. The fuel tank will likely need to be replaced to reduce evaporative emissions. In addition to changes in the main catalyst, supplemental aftertreatment systems will be analyzed to reduce emissions before the main catalyst reaches operating temperature.

Bourn, G.; Callahan, T.; Dodge, L.; Mulik, J.; Naegeli, D.; Shouse, K.; Smith, L.; Whitney, K. [Southwest Research Inst., San Antonio, TX (United States)

1995-02-01T23:59:59.000Z

245

Well-to-Wheels Analysis of Energy Use and Greenhouse Gas Emissions of Plug-in Hybrid Electric Vehicles  

Fuel Cell Technologies Publication and Product Library (EERE)

This report examines energy use and emissions from primary energy source through vehicle operation to help researchers understand the impact of the upstream mix of electricity generation technologies

246

Modeling of Plug-in Electric Vehicles Interactions with a Sustainable Community Grid in the Azores  

E-Print Network (OSTI)

Mégel. 2011. “Modeling Electric Vehicle Benefits Connectedenvironmental value of plug-in electric vehicles connectedBattaglia. 2010. “Plug-in Electric Vehicle Interactions with

Mendes, Goncalo

2013-01-01T23:59:59.000Z

247

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,

248

Development of a dedicated ethanol ultra-low emission vehicle (ULEV) -- Phase 2 report  

DOE Green Energy (OSTI)

The objective of this 3.5-year project is to develop a commercially competitive vehicle powered by ethanol (or an ethanol blend) that can meet California`s ultra-low emission vehicle (ULEV) standards and equivalent corporate average fuel economy (CAFE) energy efficiency for a light-duty passenger car application. The definition of commercially competitive is independent of fuel cost, but does include technical requirements for competitive power, performance, refueling times, vehicle range, driveability, fuel handling safety, and overall emissions performance. This report summarizes the second phase of this project, which lasted 12 months. This report documents two baseline vehicles, the engine modifications made to the original equipment manufacturer (OEM) engines, advanced aftertreatment testing, and various fuel tests to evaluate the flammability, lubricity, and material compatibility of the ethanol fuel blends.

Dodge, L.G.; Bourn, G.; Callahan, T.J.; Naegeli, D.W.; Shouse, K.R.; Smith, L.R.; Whitney, K.A. [Southwest Research Inst., San Antonio, TX (United States)

1995-09-01T23:59:59.000Z

249

Fuel savings and emissions reductions from light duty fuel cell vehicles  

DOE Green Energy (OSTI)

Fuel cell vehicles (FCVs) operate efficiently, emit few pollutants, and run on nonpetroleum fuels. Because of these characteristics, the large-scale deployment of FCVs has the potential to lessen US dependence on foreign oil and improve air quality. This study characterizes the benefits of large-scale FCV deployment in the light duty vehicle market. Specifically, the study assesses the potential fuel savings and emissions reductions resulting from large-scale use of these FCVs and identifies the key parameters that affect the scope of the benefits from FCV use. The analysis scenario assumes that FCVs will compete with gasoline-powered light trucks and cars in the new vehicle market for replacement of retired vehicles and will compete for growth in the total market. Analysts concluded that the potential benefits from FCVs, measured in terms of consumer outlays for motor fuel and the value of reduced air emissions, are substantial.

Mark, J.; Ohi, J.M.; Hudson, D.V. Jr.

1994-04-01T23:59:59.000Z

250

Off-Highway Heavy Vehicle Diesel Efficiency Improvement and Emissions Reduction  

DOE Green Energy (OSTI)

Cummins Inc. is a world leader in the development and production of diesel engines for on-highway vehicles, off-highway industrial machines, and power generation units. Cummins Inc. diesel products cover a 50-3000 HP range. The power range for this project includes 174-750 HP to achieve EPA's Tier 3 emission levels of 4.0 NOx+NMHC gm/kW-hr and 0.2 PM gm/kWhr and Tier 4 Interim emission levels of 2.0 gm/kW-hr NOx and 0.02 gm/kW-hr PM. Cummins' anticipated product offerings for Tier 4 in this range include the following: QSB6.7, QSC8.3, QSL9, QSM11, QSX15, QSK19. (For reference, numerical values indicate engine displacement in liters, the letter designation ns indicate the product model). A summary of the EPA's mobile off-highway emissions requirements is given in Figure 1.

Jennifer Rumsey

2005-12-31T23:59:59.000Z

251

Comparative Emissions Testing of Vehicles Aged on E0, E15 and E20 Fuels  

DOE Green Energy (OSTI)

The Energy Independence and Security Act passed into law in December 2007 has mandated the use of 36 billion ethanol equivalent gallons per year of renewable fuel by 2022. A primary pathway to achieve this national goal is to increase the amount of ethanol blended into gasoline. This study is part of a multi-laboratory test program coordinated by DOE to evaluate the effect of higher ethanol blends on vehicle exhaust emissions over the lifetime of the vehicle.

Vertin, K.; Glinsky, G.; Reek, A.

2012-08-01T23:59:59.000Z

252

Vehicle Technologies Office: 2003 Diesel Engine Emissions Reduction...  

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

3: Fuels and Lubrication, Part 2 Emissions from Heavy-Duty Diesel Engine with Exhaust Gas Recirculation (EGR) using Oil Sands Derived Fuels Stuart Neill National Research...

253

Htfiffi m'* Effects of Alternative Fuels on Vehicle Emissions  

E-Print Network (OSTI)

| Issue 1 | Winter 2013 17 16 16 TransForum In order for CNG to take hold, many more stations will need the country will have to be increased. There are roughly 500 publicly available CNG refueling stations automotive industry leaders test and analyze CNG vehicles. In particular, Argonne's Greenhouse Gases

254

California's Zero Emission Vehicle Program Cleaner air needed  

E-Print Network (OSTI)

these highly functional vehicles and called for more. The regulation also spurred advances in natural gas regulation ­or "ZEV Mandate"as it is sometimes called -- required automakers to put small demonstration. Benefits of the ZEV Regulation The benefits of the ZEV regulation are now apparent: The major automakers

Gille, Sarah T.

255

Modeling Grid-Connected Hybrid Electric Vehicles Using ADVISOR  

DOE Green Energy (OSTI)

Presents an electric utility grid-connected energy management strategy for a parallel hybrid electric vehicle using ADVISOR, a modeling tool.

Markel, T.; Wipke, K.

2001-01-01T23:59:59.000Z

256

Development of a dedicated ethanol ultra-low emission vehicle (ULEV): Final report  

DOE Green Energy (OSTI)

The objective of this project was to develop a commercially competitive vehicle powered by ethanol (or an ethanol blend) that can meet California`s ultra-low emission vehicle (ULEV) standards and equivalent corporate average fuel economy (CAFE) energy efficiency for a light-duty passenger car application. The definition of commercially competitive is independent of fuel cost, but does include technical requirements for competitive power, performance, refueling times, vehicle range, driveability, fuel handling safety, and overall emissions performance. This report summarizes the fourth and final phase of this project, and also the overall project. The focus of this report is the technology used to develop a dedicated ethanol-fueled ULEV, and the emissions results documenting ULV performance. Some of the details for the control system and hardware changes are presented in two appendices that are SAE papers. The demonstrator vehicle has a number of advanced technological features, but it is currently configured with standard original equipment manufacturer (OEM) under-engine catalysts. Close-coupled catalysts would improve emissions results further, but no close-coupled catalysts were available for this testing. Recently, close-coupled catalysts were obtained, but installation and testing will be performed in the future. This report also briefly summarizes work in several other related areas that supported the demonstrator vehicle work.

Dodge, L.; Bourn, G.; Callahan, T.; Grogan, J.; Leone, D.; Naegeli, D.; Shouse, K.; Thring, R.; Whitney, K. [Southwest Research Inst., San Antonio, TX (United States)

1998-09-01T23:59:59.000Z

257

PLUG-IN HYBRID ELECTRIC VEHICLE AND HYBRID ELECTRIC VEHICLE EMISSIONS UNDER FTP AND US06 CYCLES AT HIGH, AMBIENT, AND LOW TEMPERATURES  

Science Conference Proceedings (OSTI)

The concept of a Plug-in Hybrid Electric Vehicle (PHEV) is to displace consumption of gasoline by using electricity from the vehicle’s large battery pack to power the vehicle as much as possible with minimal engine operation. This paper assesses the PHEV emissions and operation. Currently, testing of vehicle emissions is done using the federal standard FTP4 cycle on a dynamometer at ambient (75°F) temperatures. Research was also completed using the US06 cycle. Furthermore, research was completed at high (95°F) and low (20°F) temperatures. Initial dynamometer testing was performed on a stock Toyota Prius under the standard FTP4 cycle, and the more demanding US06 cycle. Each cycle was run at 95°F, 75°F, and 20°F. The testing was repeated with the same Prius retrofi tted with an EnergyCS Plug-in Hybrid Electric system. The results of the testing confi rm that the stock Prius meets Super-Ultra Low Emission Vehicle requirements under current testing procedures, while the PHEV Prius under current testing procedures were greater than Super-Ultra Low Emission Vehicle requirements, but still met Ultra Low Emission Vehicle requirements. Research points to the catalyst temperature being a critical factor in meeting emission requirements. Initial engine emissions pass through with minimal conversion until the catalyst is heated to typical operating temperatures of 300–400°C. PHEVs also have trouble maintaining the minimum catalyst temperature throughout the entire test because the engine is turned off when the battery can support the load. It has been observed in both HEVs and PHEVs that the catalyst is intermittently unable to reduce nitrogen oxide emissions, which causes further emission releases. Research needs to be done to combat the initial emission spikes caused by a cold catalyst. Research also needs to be done to improve the reduction of nitrogen oxides by the catalyst system.

Seidman, M.R.; Markel, T.

2008-01-01T23:59:59.000Z

258

Environmental Assessment of Plug-In Hybrid Electric Vehicles, Volume 1: Nationwide Greenhouse Gas Emissions  

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

Environmental Assessment of Plug-In Hybrid Electric Vehicles Volume 1: Nationwide Greenhouse Gas Emissions Environmental Assessment of Plug-In Hybrid Electric Vehicles Volume 1: Nationwide Greenhouse Gas Emissions 1015325 Final Report, July 2007 Each of the ... scenarios showed significant Greenhouse Gas reductions due to PHEV fleet penetration ... ... PHEVs adoption results in significant reduction in the consumption of petroleum fuels. ' ' DISCLAIMER OF WARRANTIES AND LIMITATION OF LIABILITIES THIS DOCUMENT WAS PREPARED BY THE ORGANIZATION(S) NAMED BELOW AS AN ACCOUNT OF WORK SPONSORED OR COSPONSORED BY THE ELECTRIC POWER RESEARCH INSTITUTE, INC. (EPRI). NEITHER EPRI, ANY MEMBER OF EPRI, ANY COSPONSOR, THE ORGANIZATION(S) BELOW, NOR ANY PERSON ACTING

259

Model-Based Analysis of Electric Drive Options for Medium-Duty Parcel Delivery Vehicles: Preprint  

DOE Green Energy (OSTI)

Medium-duty vehicles are used in a broad array of fleet applications, including parcel delivery. These vehicles are excellent candidates for electric drive applications due to their transient-intensive duty cycles, operation in densely populated areas, and relatively high fuel consumption and emissions. The National Renewable Energy Laboratory (NREL) conducted a robust assessment of parcel delivery routes and completed a model-based techno-economic analysis of hybrid electric vehicle (HEV) and plug-in hybrid electric vehicle configurations. First, NREL characterized parcel delivery vehicle usage patterns, most notably daily distance driven and drive cycle intensity. Second, drive-cycle analysis results framed the selection of drive cycles used to test a parcel delivery HEV on a chassis dynamometer. Next, measured fuel consumption results were used to validate simulated fuel consumption values derived from a dynamic model of the parcel delivery vehicle. Finally, NREL swept a matrix of 120 component size, usage, and cost combinations to assess impacts on fuel consumption and vehicle cost. The results illustrated the dependency of component sizing on drive-cycle intensity and daily distance driven and may allow parcel delivery fleets to match the most appropriate electric drive vehicle to their fleet usage profile.

Barnitt, R. A.; Brooker, A. D.; Ramroth, L.

2010-12-01T23:59:59.000Z

260

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....

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

A Fuel-Based Motor Vehicle Emission Inventory  

E-Print Network (OSTI)

and cruises al 20-40 mph. Vermont sites, two instrumentsDuplicate measurements a for Vermont:. SouthboundVermontAve.ve- hicles at the Vermont Avenue site have emissions which

Singer, Brett C.; Harley, Robert A.

1996-01-01T23:59:59.000Z

262

Vehicle tail pipe emissions. A comparison of natural gas and petrol injection  

SciTech Connect

Tests were undertaken with a Renault Express 1.4 litre converted to natural gas operation. The effect of cold starts at cold temperatures and vehicle weight on tail pipe emissions were investigated with petrol and natural gas operation over the FTP75 and the 91/441/EEC drive cycles. The results show that the emissions with natural gas are unaffected by cold temperature, unlike petrol emissions which are several times higher at -15{degree}-C than at 25{degree}-C. A crude simulation, accounting for the actual temperature, shows that the conversion of a significant quantity of light duty vehicles to natural gas operation could reduce the emissions of CO and HC by more than 90% in Switzerland. 15 refs., 17 figs., 8 tabs.

Bates, G.J.; Germano, S.

1994-10-01T23:59:59.000Z

263

California Greenhouse Gas Emissions Standards for Light-Duty Vehicles (released in AEO2005)  

Reports and Publications (EIA)

In July 2002, California Assembly Bill 1493 (A.B. 1493) was signed into law. The law requires that the California Air Resources Board (CARB) develop and adopt, by January 1, 2005, greenhouse gas emission standards for light-duty vehicles that provide the maximum feasible reduction in emissions. In estimating the feasibility of the standard, CARB is required to consider cost-effectiveness, technological capability, economic impacts, and flexibility for manufacturers in meeting the standard.

Information Center

2005-02-01T23:59:59.000Z

264

Greenhouse gas emission impacts of electric vehicles under varying driving cycles in various countries and US cities  

SciTech Connect

Past studies have shown that use of electric vehicles (EVs) can reduce greenhouse gas emissions, relative to emissions from gasoline-fueled internal-combustion-engine vehicles. However, those studies have not considered all aspects that determine greenhouse gas emissions from both gasoline vehicles (GVs) and EVs. Aspects often overlooked include variations in vehicle trip characteristics, inclusion of all greenhouse gases, and vehicle total fuel cycle. In this paper, the authors estimate greenhouse gas emission reductions for EVs, including these important aspects. They select four US cities (Boston, Chicago, Los Angeles, and Washington, D.C.) and six countries (Australia, France, Japan, Norway, the United Kingdom, and the US) and analyze greenhouse emission impacts of EVs in each city or country. These selected cities and countries have distinct differences in electric power-plant fuel mixes. They also select six driving cycles developed around the world. They choose one specific driving cycle for a given city or country and estimate the energy consumption of four-passenger compact electric and gasoline cars in the given city or country. Thus, the city- or country-specific vehicle energy consumption estimates reflect effects of both vehicle driving cycles and electric power-plant mixes. Finally, they estimate total fuel cycle greenhouse gas emissions of both GVs and EVs by accounting for emissions from primary energy recovery, transportation, and processing; energy product transportation; and power-plant and vehicle operations. They estimate that relative to GVs, EVs reduce greenhouse gas emissions in all selected US cities and countries.

Wang, M.Q.; Marr, W.W. (Argonne National Lab., IL (United States). Center for Transportation Research)

1994-09-01T23:59:59.000Z

265

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

266

Greenhouse gas emission impacts of alternative-fueled vehicles: Near-term vs. long-term technology options  

DOE Green Energy (OSTI)

Alternative-fueled vehicle technologies have been promoted and used for reducing petroleum use, urban air pollution, and greenhouse gas emissions. In this paper, greenhouse gas emission impacts of near-term and long-term light-duty alternative-fueled vehicle technologies are evaluated. Near-term technologies, available now, include vehicles fueled with M85 (85% methanol and 15% gasoline by volume), E85 (85% ethanol that is produced from corn and 15% gasoline by volume), compressed natural gas, and liquefied petroleum gas. Long-term technologies, assumed to be available around the year 2010, include battery-powered electric vehicles, hybrid electric vehicles, vehicles fueled with E85 (ethanol produced from biomass), and fuel-cell vehicles fueled with hydrogen or methanol. The near-term technologies are found to have small to moderate effects on vehicle greenhouse gas emissions. On the other hand, the long-term technologies, especially those using renewable energy (such as biomass and solar energy), have great potential for reducing vehicle greenhouse gas emissions. In order to realize this greenhouse gas emission reduction potential, R and D efforts must continue on the long-term technology options so that they can compete successfully with conventional vehicle technology.

Wang, M.Q.

1997-05-20T23:59:59.000Z

267

Assessment of the Greenhouse Gas Emission Reduction Potential of Ultra-Clean Hybrid-Electric Vehicles  

E-Print Network (OSTI)

ENERGY USAGE, AND GREENHOUSE EMISSIONS GAS 4. ASSESSMENT ANDgas consumption (miles per gallon or Wh mile) of a vehicle, calculation of the fuel usageGas from Biomass from Solar Carbon Dioxide Table 2: [gin ~mlsslons~-~iJf°r Usage

Burke, A.F.; Miller, M.

1997-01-01T23:59:59.000Z

268

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

269

Issues in emissions testing of hybrid electric vehicles.  

DOE Green Energy (OSTI)

Argonne National Laboratory (ANL) has tested more than 100 prototype HEVs built by colleges and universities since 1994 and has learned that using standardized dynamometer testing procedures can be problematic. This paper addresses the issues related to HEV dynamometer testing procedures and proposes a new testing approach. The proposed ANL testing procedure is based on careful hybrid operation mode characterization that can be applied to certification and R and D. HEVs also present new emissions measurement challenges because of their potential for ultra-low emission levels and frequent engine shutdown during the test cycles.

Duoba, M.; Anderson, J.; Ng, H.

2000-05-23T23:59:59.000Z

270

Estimation of Vehicular Emissions by Capturing Traffic Variations  

E-Print Network (OSTI)

J. , Ross, M. , 1996a. Modal Emissions Modeling: A PhysicalInstantaneous Pollutant Emissions. The Science of the TotalLoad on Motor Vehicle Emissions. Environmental Science &

Nesamani, K S; Chu, L Y; McNally, Michael G.; Jayakrishnan, R.

2005-01-01T23:59:59.000Z

271

Well-to-wheels energy use and greenhouse gas emissions analysis of plug-in hybrid electric vehicles.  

DOE Green Energy (OSTI)

Researchers at Argonne National Laboratory expanded the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model and incorporated the fuel economy and electricity use of alternative fuel/vehicle systems simulated by the Powertrain System Analysis Toolkit (PSAT) to conduct a well-to-wheels (WTW) analysis of energy use and greenhouse gas (GHG) emissions of plug-in hybrid electric vehicles (PHEVs). The WTW results were separately calculated for the blended charge-depleting (CD) and charge-sustaining (CS) modes of PHEV operation and then combined by using a weighting factor that represented the CD vehicle-miles-traveled (VMT) share. As indicated by PSAT simulations of the CD operation, grid electricity accounted for a share of the vehicle's total energy use, ranging from 6% for a PHEV 10 to 24% for a PHEV 40, based on CD VMT shares of 23% and 63%, respectively. In addition to the PHEV's fuel economy and type of on-board fuel, the marginal electricity generation mix used to charge the vehicle impacted the WTW results, especially GHG emissions. Three North American Electric Reliability Corporation regions (4, 6, and 13) were selected for this analysis, because they encompassed large metropolitan areas (Illinois, New York, and California, respectively) and provided a significant variation of marginal generation mixes. The WTW results were also reported for the U.S. generation mix and renewable electricity to examine cases of average and clean mixes, respectively. For an all-electric range (AER) between 10 mi and 40 mi, PHEVs that employed petroleum fuels (gasoline and diesel), a blend of 85% ethanol and 15% gasoline (E85), and hydrogen were shown to offer a 40-60%, 70-90%, and more than 90% reduction in petroleum energy use and a 30-60%, 40-80%, and 10-100% reduction in GHG emissions, respectively, relative to an internal combustion engine vehicle that used gasoline. The spread of WTW GHG emissions among the different fuel production technologies and grid generation mixes was wider than the spread of petroleum energy use, mainly due to the diverse fuel production technologies and feedstock sources for the fuels considered in this analysis. The PHEVs offered reductions in petroleum energy use as compared with regular hybrid electric vehicles (HEVs). More petroleum energy savings were realized as the AER increased, except when the marginal grid mix was dominated by oil-fired power generation. Similarly, more GHG emissions reductions were realized at higher AERs, except when the marginal grid generation mix was dominated by oil or coal. Electricity from renewable sources realized the largest reductions in petroleum energy use and GHG emissions for all PHEVs as the AER increased. The PHEVs that employ biomass-based fuels (e.g., biomass-E85 and -hydrogen) may not realize GHG emissions benefits over regular HEVs if the marginal generation mix is dominated by fossil sources. Uncertainties are associated with the adopted PHEV fuel consumption and marginal generation mix simulation results, which impact the WTW results and require further research. More disaggregate marginal generation data within control areas (where the actual dispatching occurs) and an improved dispatch modeling are needed to accurately assess the impact of PHEV electrification. The market penetration of the PHEVs, their total electric load, and their role as complements rather than replacements of regular HEVs are also uncertain. The effects of the number of daily charges, the time of charging, and the charging capacity have not been evaluated in this study. A more robust analysis of the VMT share of the CD operation is also needed.

Elgowainy, A.; Burnham, A.; Wang, M.; Molburg, J.; Rousseau, A.; Energy Systems

2009-03-31T23:59:59.000Z

272

Model Year 2012 SmartWay Vehicles  

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

SmartWay Vehicles SmartWay Vehicles Page 1 of 14 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA TSX 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV CHNXV02.4DB9 small car 6 22 31 26 6 yes ACURA TSX Wagon 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV CHNXV02.4DB9 station wagon 6 22 30 25 6 yes AUDI A3 2 4 SemiAuto-6 2WD Diesel FA B5 Federal Tier 2 Bin 5 CVWXV02.0U5N station wagon 5 30 42 34 7 yes AUDI A3 2 4 SemiAuto-6 2WD Diesel CA U2 California LEV-II ULEV CVWXV02.0U5N station wagon 6 30 42 34 7 yes AUDI A4 2 4 CVT 2WD Gasoline CA U2 California LEV-II ULEV CADXJ02.03UB small car 6 22 30 25 6 yes AUDI A4 2 4 Man-6 4WD Gasoline CA U2 California LEV-II ULEV CADXJ02.03UB small car 6 21 31 25 6 yes AUDI A5 2 4 Man-6 4WD Gasoline CA U2 California LEV-II ULEV

273

Model Year 2004 SmartWay Vehicles  

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

SmartWay Vehicles SmartWay Vehicles Page 1 of 5 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline FA B5 4HNXV02.0RKC small car 6 21 28 24 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline FA B5 4HNXV02.0XKC small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline FA B5 4HNXV02.0XKC small car 6 24 30 26 8 yes ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline CA LEV 4HNXV02.0RKC small car 6 21 28 24 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline CA LEV 4HNXV02.0XKC small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline CA LEV 4HNXV02.0XKC small car 6 24 30 26 8 yes ACURA TL 3.2 (6 cyl) Auto-S5 2WD Gasoline CA U2 4HNXV03.2CKR midsize car 7 18 26 21 6 yes ACURA TL 3.2 (6 cyl) Man-6 2WD Gasoline CA U2 4HNXV03.2CKR midsize car 7 18 28 21 6 yes ACURA TSX 2.4 (4 cyl) Auto-S5

274

Model Year 2005 SmartWay Vehicles  

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

SmartWay Vehicles SmartWay Vehicles Page 1 of 9 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline FA B5 5HNXV02.0HKC small car 6 20 28 23 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline FA B5 5HNXV02.4KBP small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline FA B5 5HNXV02.4KBP small car 6 24 31 26 8 yes ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline CA L2 5HNXV02.0HKC small car 6 20 28 23 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline CA L2 5HNXV02.4KBP small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline CA L2 5HNXV02.4KBP small car 6 24 31 26 8 yes ACURA TL 3.2 (6 cyl) Auto-S5 2WD Gasoline CA U2 5HNXV03.24B4 midsize car 7 18 26 21 6 yes ACURA TL 3.2 (6 cyl) Man-6 2WD Gasoline CA U2 5HNXV03.24B4 midsize car 7 18 26 21 6 yes ACURA TSX 2.4 (4 cyl) Auto-S5 2WD

275

Model Year 2002 SmartWay Vehicles  

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

SmartWay Vehicles SmartWay Vehicles Page 1 of 1 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG GHG Score SmartWay ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline CL LEV 2HNXV02.0EKC small car 6 21 28 24 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline CL LEV 2HNXV02.0VBP small car 6 21 30 24 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline CL LEV 2HNXV02.0VBP small car 6 23 30 26 8 yes HONDA Accord 2.3 (4 cyl) Auto-L4 2WD Gasoline CA SLEV 2HNXV02.3FK6 midsize car 9 20 28 23 7 yes HONDA CR-V 2.4 (4 cyl) Auto-L4 2WD Gasoline NF LEV 2HNXT02.4YBP SUV 6 20 26 23 7 yes HONDA Civic 1.7 (4 cyl) Auto-AV 2WD CNG CA SLEV 2HNXV01.74WN small car 9.5 26 31 28 9 yes HONDA Civic 1.7 (4 cyl) Auto-AV 2WD CNG NL+CF ULEV 2HNXV01.74WN small car 9 26 31 28 9 yes HONDA Civic 2 (4 cyl) Man-5 2WD Gasoline CL LEV 2HNXV02.0VBP small car 6 23 28 25 7 yes HONDA Insight 1 (3 cyl)

276

Model Year 2006 SmartWay Vehicles  

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

SmartWay Vehicles SmartWay Vehicles Page 1 of 11 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline FA B5 6HNXV02.0DKC small car 6 20 28 23 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline FA B5 6HNXV02.0DKC small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline FA B5 6HNXV02.0DKC small car 6 24 31 26 8 yes ACURA RSX 2 (4 cyl) Man-6 2WD Gasoline CA L2 6HNXV02.0DKC small car 6 20 28 23 7 yes ACURA RSX 2 (4 cyl) Auto-S5 2WD Gasoline CA L2 6HNXV02.0DKC small car 6 22 31 25 7 yes ACURA RSX 2 (4 cyl) Man-5 2WD Gasoline CA L2 6HNXV02.0DKC small car 6 24 31 26 8 yes ACURA TL 3.2 (6 cyl) Auto-S5 2WD Gasoline CA U2 6HNXV03.2NKR midsize car 7 18 26 21 6 yes ACURA TL 3.2 (6 cyl) Man-6 2WD Gasoline CA U2 6HNXV03.2NKR midsize car 7 18 26 21 6 yes ACURA TSX 2.4 (4 cyl) Auto-S5 2WD

277

Model Year 2011 SmartWay Vehicles  

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

SmartWay Vehicles SmartWay Vehicles Page 1 of 10 Model Displ Cyl Trans Drive Fuel Sales Area Stnd Stnd Description Underhood ID Veh Class Air Pollution Score City MPG Hwy MPG Cmb MPG Greenhouse Gas Score SmartWay ACURA TSX 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV BHNXV02.4DB9 small car 6 22 31 26 6 yes ACURA TSX Wagon 2.4 4 SemiAuto-5 2WD Gasoline CA U2 California LEV-II ULEV BHNXV02.4DB9 station wagon 6 22 30 25 6 yes AUDI A3 2 4 SemiAuto-6 2WD Diesel CA U2 California LEV-II ULEV BVWXV02.0U5N station wagon 6 30 42 34 7 yes AUDI A3 2 4 SemiAuto-6 2WD Diesel FA B5 Federal Tier 2 Bin 5 BVWXV02.0U5N station wagon 5 30 42 34 7 yes AUDI A4 2 4 Man-6 4WD Gasoline CA U2 California LEV-II ULEV BADXJ02.03UB small car 6 21 31 25 6 yes AUDI A4 2 4 CVT 2WD Gasoline CA U2 California LEV-II ULEV BADXJ02.03UB small car 6 22 30 25 6 yes AUDI A5 2 4 Man-6 4WD Gasoline CA U2 California LEV-II ULEV

278

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

279

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

280

Measuring congestion and emissions : a network model for Mexico City  

E-Print Network (OSTI)

Congestion is a major problem for the major cities of today. It reduces mobility, slows economic growth, and is a major cause of emissions. Vehicles traveling at slow speeds emit significantly more pollutants than vehicles ...

Amano, Yasuaki Daniel, 1978-

2004-01-01T23:59:59.000Z

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

Vehicle Technologies Office: Fact #400: November 28, 2005 Model...  

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

8, 2005 Model Year 2006 Fuel Economy and Fuel Cost to someone by E-mail Share Vehicle Technologies Office: Fact 400: November 28, 2005 Model Year 2006 Fuel Economy and Fuel Cost...

282

MODEL YEAR 2000 FUEL ECONOMY LEADERS IN POPULAR VEHICLE CLASSES  

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

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

283

TAFV Alternative Fuels and Vehicles Choice Model Documentation  

DOE Green Energy (OSTI)

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

Greene, D.L.

2001-07-27T23:59:59.000Z

284

Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation  

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

Modeling Collaboration Modeling Collaboration Is a Win-Win Situation for Vehicle Research to someone by E-mail Share Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Facebook Tweet about Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Twitter Bookmark Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Google Bookmark Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Delicious Rank Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on Digg Find More places to share Vehicle Technologies Office: Modeling Collaboration Is a Win-Win Situation for Vehicle Research on AddThis.com...

285

Catalyst Modeling and CLEERS - Emissions & Emission Controls...  

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

Catalyst Modeling and CLEERS A large part of ORNL's efforts in catalyst research are geared toward model development of catalyst devices and engine systems. Experimental data...

286

Modeling Electric Vehicle Benefits Connected to Smart Grids  

E-Print Network (OSTI)

Modeling Electric Vehicle Benefits Connected to Smart Grids Michael Stadler1,2 , Chris Marnay1 to be presented at the 7th IEEE Vehicle Power and Propulsion Conference Chicago, IL, Sept 6-9 2011 http, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement

287

Greenhouse gas emission impacts of electric vehicles under varying driving cycles in various counties and US cities  

SciTech Connect

Electric vehicles (EVs) can reduce greenhouse gas emissions, relative to emissions from gasoline-fueled vehicles. However, those studies have not considered all aspects that determine greenhouse gas emissions from both gasoline vehicles (GVs) and EVs. Aspects often overlooked include variations in vehicle trip characteristics, inclusion of all greenhouse gases, and vehicle total fuel cycle. In this paper, we estimate greenhouse gas emission reductions for EVs, including these important aspects. We select four US cities (Boston, Chicago, Los Angeles, and Washington, D.C.) and six countries (Australia, France, Japan, Norway, the United Kingdom, and the United States) and analyze greenhouse emission impacts of EVs in each city or country. We also select six driving cycles developed around the world (i.e., the US federal urban driving cycle, the Economic Community of Europe cycle 15, the Japanese 10-mode cycle, the Los Angeles 92 cycle, the New York City cycle, and the Sydney cycle). Note that we have not analyzed EVs in high-speed driving (e.g., highway driving), where the results would be less favorable to EVs; here, EVs are regarded as urban vehicles only. We choose one specific driving cycle for a given city or country and estimate the energy consumption of four-passenger compact electric and gasoline cars in the given city or country. Finally, we estimate total fuel cycle greenhouse gas emissions of both GVs and EVs by accounting for emissions from primary energy recovery, transportation, and processing; energy product transportation; and powerplant and vehicle operations.

Wang, M.Q.; Marr, W.W.

1994-02-10T23:59:59.000Z

288

THE EFFECTS OF BIODIESEL BLENDS AND ARCO EC-DIESEL ON EMISSIONS from LIGHT HEAVY-DUTY DIESEL VEHICLES  

DOE Green Energy (OSTI)

Chassis dynamometer tests were performed on 7 light heavy-duty diesel trucks comparing the emissions of a California diesel fuel with emissions from 4 other fuels: ARCO EC-diesel (EC-D) and three 20% biodiesel blends (1 yellow grease and 2 soy-based). The EC-D and the yellow grease biodiesel blend both showed significant reductions in THC and CO emissions over the test vehicle fleet. EC-D also showed reductions in PM emission rates. NOx emissions were comparable for the different fuel types over the range of vehicles tested. The soy-based biodiesel blends did not show significant or consistent emissions differences over all test vehicles. Total carbon accounted for more than 70% of the PM mass for 4 of the 5 sampled vehicles. Elemental and organic carbon ratios varied significantly from vehicle-to-vehicle but showed very little fuel dependence. Inorganic species represented a smaller portion of the composite total, ranging from 0.2 to 3.3% of the total PM. Total PAH emissions ranged from approximately 1.8 mg/mi to 67.8 mg/mi over the different vehicle/fuel combinations representing between 1.6 and 3.8% of the total PM mass.

Durbin, Thomas

2001-08-05T23:59:59.000Z

289

Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year  

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

4: September 16, 4: September 16, 2002 2003 Model Year Alternative Fuel Vehicles to someone by E-mail Share Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Facebook Tweet about Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Twitter Bookmark Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Google Bookmark Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Delicious Rank Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on Digg Find More places to share Vehicle Technologies Office: Fact #234: September 16, 2002 2003 Model Year Alternative Fuel Vehicles on

290

A comparison of estimates of cost-effectiveness of alternative fuels and vehicles for reducing emissions  

DOE Green Energy (OSTI)

The cost-effectiveness ratio (CER) is a measure of the monetary value of resources expended to obtain reductions in emissions of air pollutants. The CER can lead to selection of the most effective sequence of pollution reduction options. Derived with different methodologies and technical assumptions, CER estimates for alternative fuel vehicles (AFVs) have varied widely among pervious studies. In one of several explanations of LCER differences, this report uses a consistent basis for fuel price to re-estimate CERs for AFVs in reduction of emissions of criteria pollutants, toxics, and greenhouse gases. The re-estimated CERs for a given fuel type have considerable differences due to non-fuel costs and emissions reductions, but the CERs do provide an ordinal sense of cost-effectiveness. The category with CER less than $5,000 per ton includes compressed natural gas and ed Petroleum gas vehicles; and E85 flexible-fueled vehicles (with fuel mixture of 85 percent cellulose-derived ethanol in gasoline). The E85 system would be much less attractive if corn-derived ethanol were used. The CER for E85 (corn-derived) is higher with higher values placed on the reduction of gas emissions. CER estimates are relative to conventional vehicles fueled with Phase 1 California reformulated gasoline (RFG). The California Phase 2 RFG program will be implemented before significant market penetration by AFVs. CERs could be substantially greater if they are calculated incremental to the Phase 2 RFG program. Regression analysis suggests that different assumptions across studies can sometimes have predictable effects on the CER estimate of a particular AFV type. The relative differences in cost and emissions reduction assumptions can be large, and the effect of these differences on the CER estimate is often not predictable. Decomposition of CERs suggests that methodological differences can make large contributions to CER differences among studies.

Hadder, G.R.

1995-11-01T23:59:59.000Z

291

Impact of Canada's Voluntary Agreement on Greenhouse Gas Emissions from Light Duty Vehicles  

E-Print Network (OSTI)

April 5. Canadian Vehicle Manufacturers Association (CVMA),equivalent Canadian Vehicle Manufacturers’ Associationof the Canadian Vehicle Manufacturers’ Association, Joe

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

292

Impact of Canada’s Voluntary Agreement on Greenhouse Gas Emissions from Light Duty Vehicles  

E-Print Network (OSTI)

April 5. Canadian Vehicle Manufacturers Association (CVMA),equivalent Canadian Vehicle Manufacturers’ Associationof the Canadian Vehicle Manufacturers’ Association, Joe

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

293

The California Zero-Emission Vehicle Mandate: A Study of the Policy Process, 1990-2004  

E-Print Network (OSTI)

in California: The Role of Electric Vehicles. The Claremontto the program? (e.g. inclusion of hybrid electric vehicles,neighborhood electric vehicles, fuel-cell vehicles,

Collantes, Gustavo O

2006-01-01T23:59:59.000Z

294

Assessment of the Greenhouse Gas Emission Reduction Potential of Ultra-Clean Hybrid-Electric Vehicles  

E-Print Network (OSTI)

Table ES-3: Summaryof Hybrid Vehicle Fuel Economy Results onmal ICE and Series Hybrid Vehicles (t) Vehicle Test Weight (I) Conventional and Series Hybrid Vehicles had same weight,

Burke, A.F.; Miller, M.

1997-01-01T23:59:59.000Z

295

Impact of Component Sizing in Plug-In Hybrid Electric Vehicles for Energy Resource and Greenhouse Emissions Reduction  

Science Conference Proceedings (OSTI)

Widespread use of alternative hybrid powertrains currently appears inevitable and many opportunities for substantial progress remain. The necessity for environmentally friendly vehicles, in conjunction with increasing concerns regarding U.S. dependency on foreign oil and climate change, has led to significant investment in enhancing the propulsion portfolio with new technologies. Recently, plug-in hybrid electric vehicles (PHEVs) have attracted considerable attention due to their potential to reduce petroleum consumption and greenhouse gas (GHG) emissions in the transportation sector. PHEVs are especially appealing for short daily commutes with excessive stop-and-go driving. However, the high costs associated with their components, and in particular, with their energy storage systems have been significant barriers to extensive market penetration of PEVs. In the research reported here, we investigated the implications of motor/generator and battery size on fuel economy and GHG emissions in a medium duty PHEV. An optimization framework is proposed and applied to two different parallel powertrain configurations, pre-transmission and post-transmission, to derive the Pareto frontier with respect to motor/generator and battery size. The optimization and modeling approach adopted here facilitates better understanding of the potential benefits from proper selection of motor/generator and battery size on fuel economy and GHG emissions. This understanding can help us identify the appropriate sizing of these components and thus reducing the PHEV cost. Addressing optimal sizing of PHEV components could aim at an extensive market penetration of PHEVs.

Malikopoulos, Andreas [ORNL

2013-01-01T23:59:59.000Z

296

Greenhouse Gases, Regulated Emissions, and Energy Use in Transportatio...  

Open Energy Info (EERE)

Regulated Emissions, and Energy Use in Transportation (GREET) Model Abstract This full life-cycle model evaluates the energy and emission impacts of advanced vehicle technologies...

297

Effects of Biodiesel Blends on Vehicle Emissions: Fiscal Year 2006 Annual Operating Plan Milestone 10.4  

DOE Green Energy (OSTI)

The objective was to determine if testing entire vehicles, vs. just the engines, on a heavy-duty chassis dynamometer provides a better, measurement of the impact of B20 on emissions.

McCormick, R. L.; Williams, A.; Ireland, J.; Hayes, R. R.

2006-10-01T23:59:59.000Z

298

Well-to-Wheels Energy Use and Greenhouse Gas Emissions of Plug-In Hybrid Electric Vehicles  

E-Print Network (OSTI)

Analyzed distribution of vehicles by last trip ending time for each region Generated PHEVs load profiles PSAT were adjusted to on-road values for this analysis PHEV miles driven by grid electricity and onWell-to-Wheels Energy Use and Greenhouse Gas Emissions of Plug-In Hybrid Electric Vehicles Amgad

299

NREL: Vehicles and Fuels Research - Publications  

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

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

300

The Natural Gas Vehicle Challenge `92: Exhaust emissions testing and results  

DOE Green Energy (OSTI)

The Natural Gas Vehicle (NGV) Challenge `92, was organized by Argonne National Laboratory. The main sponsors were the US Department of Energy the Energy, Mines, and Resources -- Canada, and the Society of Automotive Engineers. It resulted in 20 varied approaches to the conversion of a gasoline-fueled, spark-ignited, internal combustion engine to dedicated natural gas use. Starting with a GMC Sierra 2500 pickup truck donated by General Motors, teams of college and university student engineers worked to optimize Chevrolet V-8 engines operating on natural gas for improved emissions, fuel economy, performance, and advanced design features. This paper focuses on the results of the emission event, and compares engine mechanical configurations, engine management systems, catalyst configurations and locations, and approaches to fuel control and the relationship of these parameters to engine. out and tailpipe emissions of regulated exhaust constituents. Nine of the student modified trucks passed the current levels of exhaust emission standards, and some exceeded the strictest future emissions standards envisioned by the US Environmental Protection Agency. Factors contributing to good emissions control using natural gas are summarized, and observations concerning necessary components of a successful emissions control strategy are presented.

Rimkus, W.A.; Larsen, R.P. [Argonne National Lab., IL (United States); Zammit, M.G. [Johnson Matthey, Wayne, PA (United States); Davies, J.G.; Salmon, G.S. [General Motors of Canada Ltd., Toronto, ON (Canada); Bruetsch, R.I. [US Environmental Protection Agency (United States)

1992-11-01T23:59:59.000Z

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

The Natural Gas Vehicle Challenge '92: Exhaust emissions testing and results  

DOE Green Energy (OSTI)

The Natural Gas Vehicle (NGV) Challenge '92, was organized by Argonne National Laboratory. The main sponsors were the US Department of Energy the Energy, Mines, and Resources -- Canada, and the Society of Automotive Engineers. It resulted in 20 varied approaches to the conversion of a gasoline-fueled, spark-ignited, internal combustion engine to dedicated natural gas use. Starting with a GMC Sierra 2500 pickup truck donated by General Motors, teams of college and university student engineers worked to optimize Chevrolet V-8 engines operating on natural gas for improved emissions, fuel economy, performance, and advanced design features. This paper focuses on the results of the emission event, and compares engine mechanical configurations, engine management systems, catalyst configurations and locations, and approaches to fuel control and the relationship of these parameters to engine. out and tailpipe emissions of regulated exhaust constituents. Nine of the student modified trucks passed the current levels of exhaust emission standards, and some exceeded the strictest future emissions standards envisioned by the US Environmental Protection Agency. Factors contributing to good emissions control using natural gas are summarized, and observations concerning necessary components of a successful emissions control strategy are presented.

Rimkus, W.A.; Larsen, R.P. (Argonne National Lab., IL (United States)); Zammit, M.G. (Johnson Matthey, Wayne, PA (United States)); Davies, J.G.; Salmon, G.S. (General Motors of Canada Ltd., Toronto, ON (Canada)); Bruetsch, R.I. (US Environmental Protection Agency (United States))

1992-01-01T23:59:59.000Z

302

Modeling of Plug-in Electric Vehicles' Interactions with a Sustainable...  

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

of Plug-in Electric Vehicles' Interactions with a Sustainable Community Grid in the Azores Title Modeling of Plug-in Electric Vehicles' Interactions with a Sustainable Community...

303

Emission Control Research to Enable Fuel Efficiency: Department of Energy Heavy Vehicle Technologies  

DOE Green Energy (OSTI)

The Office of Heavy Vehicle Technologies supports research to enable high-efficiency diesel engines to meet future emissions regulations, thus clearing the way for their use in light trucks as well as continuing as the most efficient powerplant for freight-haulers. Compliance with Tier 2 rules and expected heavy duty engine standards will require effective exhaust emission controls (after-treatment) for diesels in these applications. DOE laboratories are working with industry to improve emission control technologies in projects ranging from application of new diagnostics for elucidating key mechanisms, to development and tests of prototype devices. This paper provides an overview of these R and D efforts, with examples of key findings and developments.

Gurpreet Singh; Ronald L. Graves; John M. Storey; William P. Partridge; John F. Thomas; Bernie M. Penetrante; Raymond M. Brusasco; Bernard T. Merritt; George E. Vogtlin; Christopher L. Aardahl; Craig F. Habeger; M.L. Balmer

2000-06-19T23:59:59.000Z

304

Battery-Powered Electric and Hybrid Electric Vehicle Projects to Reduce Greenhouse Gas Emissions: A Resource for Project Development  

SciTech Connect

The transportation sector accounts for a large and growing share of global greenhouse gas (GHG) emissions. Worldwide, motor vehicles emit well over 900 million metric tons of carbon dioxide (CO2) each year, accounting for more than 15 percent of global fossil fuel-derived CO2 emissions.1 In the industrialized world alone, 20-25 percent of GHG emissions come from the transportation sector. The share of transport-related emissions is growing rapidly due to the continued increase in transportation activity.2 In 1950, there were only 70 million cars, trucks, and buses on the world’s roads. By 1994, there were about nine times that number, or 630 million vehicles. Since the early 1970s, the global fleet has been growing at a rate of 16 million vehicles per year. This expansion has been accompanied by a similar growth in fuel consumption.3 If this kind of linear growth continues, by the year 2025 there will be well over one billion vehicles on the world’s roads.4 In a response to the significant growth in transportation-related GHG emissions, governments and policy makers worldwide are considering methods to reverse this trend. However, due to the particular make-up of the transportation sector, regulating and reducing emissions from this sector poses a significant challenge. Unlike stationary fuel combustion, transportation-related emissions come from dispersed sources. Only a few point-source emitters, such as oil/natural gas wells, refineries, or compressor stations, contribute to emissions from the transportation sector. The majority of transport-related emissions come from the millions of vehicles traveling the world’s roads. As a result, successful GHG mitigation policies must find ways to target all of these small, non-point source emitters, either through regulatory means or through various incentive programs. To increase their effectiveness, policies to control emissions from the transportation sector often utilize indirect means to reduce emissions, such as requiring specific technology improvements or an increase in fuel efficiency. Site-specific project activities can also be undertaken to help decrease GHG emissions, although the use of such measures is less common. Sample activities include switching to less GHG-intensive vehicle options, such as electric vehicles (EVs) or hybrid electric vehicles (HEVs). As emissions from transportation activities continue to rise, it will be necessary to promote both types of abatement activities in order to reverse the current emissions path. This Resource Guide focuses on site- and project-specific transportation activities. .

National Energy Technology Laboratory

2002-07-31T23:59:59.000Z

305

MODELING THE INTRODUCTION OF ALTERNATIVE VEHICLE TECHNOLOGIES  

E-Print Network (OSTI)

Homes, Commercial Buildings, and Policy Analysis. The Energy Center working through retail outlets this section include Cell-Free Ethanol Production & NIR Monitoring of Biodiesel, Appalachian Biofuels and Biomass Initiative, Emissions Analysis for Different Biodiesel Feedstocks, Algae Oil Production, Harvest

California at Davis, University of

306

Combined quasi-static backward modeling and look-ahead fuzzy control of vehicles  

Science Conference Proceedings (OSTI)

Vehicle modeling can play an important role in vehicle power train design, control and energy management investigation. This paper presents a method for vehicle power train modeling. The key feature of the method is its presentation of the dynamic of ... Keywords: Fuzzy logic, Look-ahead controller, Power train vehicle modeling, Quasi-static backward facing, Simulation

Behnam Ganji; Abbas Z. Kouzani

2012-01-01T23:59:59.000Z

307

Comparative urban drive cycle simulations of light-duty hybrid vehicles with gasoline or diesel engines and emissions controls  

SciTech Connect

Electric hybridization is a very effective approach for reducing fuel consumption in light-duty vehicles. Lean combustion engines (including diesels) have also been shown to be significantly more fuel efficient than stoichiometric gasoline engines. Ideally, the combination of these two technologies would result in even more fuel efficient vehicles. However, one major barrier to achieving this goal is the implementation of lean-exhaust aftertreatment that can meet increasingly stringent emissions regulations without heavily penalizing fuel efficiency. We summarize results from comparative simulations of hybrid electric vehicles with either stoichiometric gasoline or diesel engines that include state-of-the-art aftertreatment emissions controls for both stoichiometric and lean exhaust. Fuel consumption and emissions for comparable gasoline and diesel light-duty hybrid electric vehicles were compared over a standard urban drive cycle and potential benefits for utilizing diesel hybrids were identified. Technical barriers and opportunities for improving the efficiency of diesel hybrids were identified.

Gao, Zhiming [ORNL; Daw, C Stuart [ORNL; Smith, David E [ORNL

2013-01-01T23:59:59.000Z

308

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

309

A Multi-Country Analysis of Lifecycle Emissions From Transportation Fuels and Motor Vehicles  

E-Print Network (OSTI)

from Transportation Fuels, Motor Vehicles, Transportationfrom alternative fuels for motor vehicles and electricity-Environmental Externalities of Motor-Vehicle Use in the U.

Delucchi, Mark

2005-01-01T23:59:59.000Z

310

A MULTI-COUNTRY ANALYSIS OF LIFECYCLE EMISSIONS FROM TRANSPORTATION FUELS AND MOTOR VEHICLES  

E-Print Network (OSTI)

from Transportation Fuels, Motor Vehicles, Transportationfrom alternative fuels for motor vehicles and electricity-Environmental Externalities of Motor-Vehicle Use in the U.

Delucchi, Mark

2005-01-01T23:59:59.000Z

311

Zero-Emission Vehicle Scenario Cost Analysis Using A Fuzzy Set-Based Framework  

E-Print Network (OSTI)

a unique city car," Eletric and Hybrid Vehicle TechnologyB. Purcell, "Stepping Ahead," Eletric and Hybrid VehicleJ. Wallace, "Electric Dreams," Eletric and Hybrid Vehicle

Lipman, Timothy Edward

1999-01-01T23:59:59.000Z

312

A MULTI-COUNTRY ANALYSIS OF LIFECYCLE EMISSIONS FROM TRANSPORTATION FUELS AND MOTOR VEHICLES  

E-Print Network (OSTI)

Organization of Motor Vehicle Manufacturers, Paris, France,Organization of Motor Vehicle Manufacturers (2003) providesOrganization of Motor Vehicle Manufacturers. Because of

Delucchi, Mark

2005-01-01T23:59:59.000Z

313

A Multi-Country Analysis of Lifecycle Emissions From Transportation Fuels and Motor Vehicles  

E-Print Network (OSTI)

Organization of Motor Vehicle Manufacturers, Paris, France,Organization of Motor Vehicle Manufacturers (2003) providesOrganization of Motor Vehicle Manufacturers. Because of

Delucchi, Mark

2005-01-01T23:59:59.000Z

314

Canada’s Voluntary Agreement on Vehicle Greenhouse Gas Emissions: When the Details Matter  

E-Print Network (OSTI)

17.10.2005). Canadian Vehicle Manufacturers Association,of the Canadian Vehicle Manufacturers’ Association, JoeTherefore, the Canadian vehicle manufacturers are committed

Lutsey, Nicholas P.; Sperling, Dan

2007-01-01T23:59:59.000Z

315

Chinese Rural Vehicles: An Explanatory Analysis of Technology, Economics, Industrial Organization, Energy Use, Emissions, and Policy  

E-Print Network (OSTI)

larger conventional vehicle manufacturers? We address theseLargest Farm Vehicle Manufacturer , http://www.yanmar.co.jp/conventional vehicle manufacturers. A key to understanding

Sperling, Dan; Lin, Zhenhong; Hamilton, Peter

2004-01-01T23:59:59.000Z

316

The California Zero-Emission Vehicle Mandate: A Study of the Policy Process, 1990-2004  

E-Print Network (OSTI)

ZEV program, the vehicle manufacturers did not believe thatof fuel-cell vehicles: manufacturers would produce theirHonda Motor Vehicle Manufacturers Association Mercedes Benz

Collantes, Gustavo O

2006-01-01T23:59:59.000Z

317

Electric Vehicles: Performance, Life-Cycle Costs, Emissions, and Recharging Requirements  

E-Print Network (OSTI)

Sealed lead-acid electric and vehicle battery development.A. (1987a) ture for electric vehicles. In Resources ElectricInternational Conference. Electric Vehicle De- Universityof

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

1989-01-01T23:59:59.000Z

318

The California Zero-Emission Vehicle Mandate: A Study of the Policy Process, 1990-2004  

E-Print Network (OSTI)

inclusion of hybrid electric vehicles, neighborhood electriccertain plug-in hybrid electric vehicles (PHEVs) to the ZEVprovisions pertaining hybrid electric vehicles (that fell in

Collantes, Gustavo O

2006-01-01T23:59:59.000Z

319

An Optimization Model for Plug-In Hybrid Electric Vehicles  

DOE Green Energy (OSTI)

The necessity for environmentally conscious vehicle designs in conjunction with increasing concerns regarding U.S. dependency on foreign oil and climate change have induced significant investment towards enhancing the propulsion portfolio with new technologies. More recently, plug-in hybrid electric vehicles (PHEVs) have held great intuitive appeal and have attracted considerable attention. PHEVs have the potential to reduce petroleum consumption and greenhouse gas (GHG) emissions in the commercial transportation sector. They are especially appealing in situations where daily commuting is within a small amount of miles with excessive stop-and-go driving. The research effort outlined in this paper aims to investigate the implications of motor/generator and battery size on fuel economy and GHG emissions in a medium-duty PHEV. An optimization framework is developed and applied to two different parallel powertrain configurations, e.g., pre-transmission and post-transmission, to derive the optimal design with respect to motor/generator and battery size. A comparison between the conventional and PHEV configurations with equivalent size and performance under the same driving conditions is conducted, thus allowing an assessment of the fuel economy and GHG emissions potential improvement. The post-transmission parallel configuration yields higher fuel economy and less GHG emissions compared to pre-transmission configuration partly attributable to the enhanced regenerative braking efficiency.

Malikopoulos, Andreas [ORNL; Smith, David E [ORNL

2011-01-01T23:59:59.000Z

320

Light-Duty Diesel Vehicles: Market Issues and Potential Energy and Emissions Impacts  

Gasoline and Diesel Fuel Update (EIA)

2 2 Light-Duty Diesel Vehicles: Market Issues and Potential Energy and Emissions Impacts January 2009 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. Unless referenced otherwise, the information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requester.

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

Ethanol Blend Effects On Direct Injection Spark-Ignition Gasoline Vehicle Particulate Matter Emissions  

Science Conference Proceedings (OSTI)

Direct injection spark-ignition (DISI) gasoline engines can offer better fuel economy and higher performance over their port fuel-injected counterparts, and are now appearing increasingly in more U.S. vehicles. Small displacement, turbocharged DISI engines are likely to be used in lieu of large displacement engines, particularly in light-duty trucks and sport utility vehicles, to meet fuel economy standards for 2016. In addition to changes in gasoline engine technology, fuel composition may increase in ethanol content beyond the 10% allowed by current law due to the Renewable Fuels Standard passed as part of the 2007 Energy Independence and Security Act (EISA). In this study, we present the results of an emissions analysis of a U.S.-legal stoichiometric, turbocharged DISI vehicle, operating on ethanol blends, with an emphasis on detailed particulate matter (PM) characterization. Gaseous species, particle mass, and particle number concentration emissions were measured for the Federal Test Procedure urban driving cycle (FTP 75) and the more aggressive US06 cycle. Particle number-size distributions and organic to elemental carbon ratios (OC/EC) were measured for 30 MPH and 80 MPH steady-state operation. In addition, particle number concentration was measured during wide open throttle accelerations (WOTs) and gradual accelerations representative of the FTP 75. For the gaseous species and particle mass measurements, dilution was carried out using a full flow constant volume sampling system (CVS). For the particle number concentration and size distribution measurements, a micro-tunnel dilution system was employed. The vehicles were fueled by a standard test gasoline and 10% (E10) and 20% (E20) ethanol blends from the same supplier. The particle mass emissions were approximately 3 and 7 mg/mile for the FTP75 and US06, respectively, with lower emissions for the ethanol blends. During steady-state operation, the geometric mean diameter of the particle-number size distribution remained approximately the same (50 nm) but the particle number concentration decreased with increasing ethanol content in the fuel. In addition, increasing ethanol content significantly reduced the number concentration of 50 and 100 nm particles during gradual and WOT accelerations.

Storey, John Morse [ORNL; Lewis Sr, Samuel Arthur [ORNL; Barone, Teresa L [ORNL

2010-01-01T23:59:59.000Z

322

Environmental Assessment of Plug-In Hybrid Electric Vehicles, Volume 1: Nationwide Greenhouse Gas Emissions  

Science Conference Proceedings (OSTI)

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

2007-07-23T23:59:59.000Z

323

Battery modeling for electric vehicle applications using neural networks  

SciTech Connect

Neural networking is a new approach to modeling batteries for electric vehicle applications. This modeling technique is much less complex then a first principles model but can consider more parameters then classic empirical modeling. Test data indicates that individual cell size and geometry and operating conditions affect a battery performance (energy density, power density and life). Given sufficient battery data, system parameters and operating conditions a neural network model could be used to interpolate and perhaps even extrapolate battery performance under wide variety of operating conditions. As a result the method could be a valuable design tool for electric vehicle battery design and application. This paper describes the on going modeling method at Texas A and M University and presents preliminary results of a tubular lead acid battery model. The ultimate goal of this modeling effort is to develop the values necessary to be able to predict performance for batteries as wide ranging as sodium sulfur to zinc bromine.

Swan, D.H.; Arikara, M.P.; Patton, A.D.

1993-12-31T23:59:59.000Z

324

Application of the New City-Suburban Heavy Vehicle Route (CSHVR) to Truck Emissions Characterization  

DOE Green Energy (OSTI)

Speed-time and video data were tractor-trailers performing local deliveries in logged for Akron, OH. and Richmond, VA. in order to develop an emissions test schedule that represented real truck use. The data bank developed using these logging techniques was used to create a Yard cycle, a Freeway cycle and a City-Suburban cycle by the concatenation of microtrips. The City-Suburban driving cycle was converted to a driving route, in which the truck under test would perform at maximum acceleration during certain portions of the test schedule. This new route was used to characterize the emissions of a 1982 Ford tractor with a Cummins 14 liter, 350 hp engine and a 1998 International tractor with a Cummins 14 liter, 435 hp engine. Emissions levels were found to be repeatable with one driver and the drier-to-driver variation of NO{sub x} was under 4%, although the driver-to driver variations of CO and PM were higher. Emissions levels of NO{sub x} for the Ford tractor at a test weight of 46,400 lb. u sing the CSHVR were comparable with values obtained using the WVU 5 mile route and the EPA Urban Dynamometer Driving Schedule for Heavy Duty Vehicles (''Test D''). The PM missions were slightly higher for the CSHVR than the 5 mile route and Test D. The effect of test weight on emissions, in units of mass/distance, was assessed using the International tractor with the CSHVR at 26,000, 36,000 and 46,400 lb. test weights. Variation of all regulated exhaust emissions was small between test weights, although the CO{sub 2} level reflected the additional energy used at higher weights. The small variation in regulated emissions may be attributed to the fact that in all three cases, the route called for full power operation of the vehicle, and that PM puff associated with gear shifting would be similar. It is concluded that the CSHVR represents a useful and realistic test schedule for truck emissions characterization.

Nigel N. Clark; James J. Daley; Ralph D. Nine; Christopher M. Atkinson

1999-05-03T23:59:59.000Z

325

Optical and Physical Properties from Primary On-Road Vehicle ParticleEmissions And Their Implications for Climate Change  

SciTech Connect

During the summers of 2004 and 2006, extinction and scattering coefficients of particle emissions inside a San Francisco Bay Area roadway tunnel were measured using a combined cavity ring-down and nephelometer instrument. Particle size distributions and humidification were also measured, as well as several gas phase species. Vehicles in the tunnel traveled up a 4% grade at a speed of approximately 60 km h{sup -1}. The traffic situation in the tunnel allows the apportionment of emission factors between light duty gasoline vehicles and diesel trucks. Cross-section emission factors for optical properties were determined for the apportioned vehicles to be consistent with gas phase and particulate matter emission factors. The absorption emission factor (the absorption cross-section per mass of fuel burned) for diesel trucks (4.4 {+-} 0.79 m{sup 2} kg{sup -1}) was 22 times larger than for light-duty gasoline vehicles (0.20 {+-} 0.05 m{sup 2} kg{sup -1}). The single scattering albedo of particles - which represents the fraction of incident light that is scattered as opposed to absorbed - was 0.2 for diesel trucks and 0.3 for light duty gasoline vehicles. These facts indicate that particulate matter from motor vehicles exerts a positive (i.e., warming) radiative climate forcing. Average particulate mass absorption efficiencies for diesel trucks and light duty gasoline vehicles were 3.14 {+-} 0.88 m{sup 2} g{sub PM}{sup -1} and 2.9 {+-} 1.07 m{sup 2} g{sub PM}{sup -1}, respectively. Particle size distributions and optical properties were insensitive to increases in relative humidity to values in excess of 90%, reinforcing previous findings that freshly emitted motor vehicle particulate matter is hydrophobic.

Strawa, A.W.; Kirchstetter, T.W.; Hallar, A.G.; Ban-Weiss, G.A.; McLaughlin, J.P.; Harley, R.A.; Lunden, M.M.

2009-01-23T23:59:59.000Z

326

Federal Test Procedure Emissions Test Results from Ethanol Variable-Fuel Vehicle Chevrolet Luminas  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Federal Test Procedure Emissions Test Results from Federal Test Procedure Emissions Test Results from Ethanol Variable-Fuel Vehicle Chevrolet Luminas Kenneth J. Kelly, Brent K. Bailey, and Timothy C. Coburn National Renewable Energy Laboratory Wendy Clark Automotive Testing Laboratories, Inc. Peter Lissiuk Environmental Research and Development Corp. Presented at Society for Automotive Engineers International Spring Fuels and Lubricants Meeting Dearborn, MI May 6-8, 1996 The work described here was wholly funded by the U.S. Department of Energy, a U.S. government agency. As such, this information is in the public domain, may be copied and otherwise accessed freely, and is not subject to copyright laws. These papers were previously published in hard copy form by the Society of Automotive Engineers, Inc. (Telephone: 412.776.4970; E-mail: publications@sae.org)

327

Battery Ownership Model: A Tool for Evaluating the Economics of Electrified Vehicles and Related Infrastructure; Preprint  

DOE Green Energy (OSTI)

Electric vehicles could significantly reduce greenhouse gas (GHG) emissions and dependence on imported petroleum. However, for mass adoption, EV costs have historically been too high to be competitive with conventional vehicle options due to the high price of batteries, long refuel time, and a lack of charging infrastructure. A number of different technologies and business strategies have been proposed to address some of these cost and utility issues: battery leasing, battery fast-charging stations, battery swap stations, deployment of charge points for opportunity charging, etc. In order to investigate these approaches and compare their merits on a consistent basis, the National Renewable Energy Laboratory (NREL) has developed a new techno-economic model. The model includes nine modules to examine the levelized cost per mile for various types of powertrain and business strategies. The various input parameters such as vehicle type, battery, gasoline, and electricity prices; battery cycle life; driving profile; and infrastructure costs can be varied. In this paper, we discuss the capabilities of the model; describe key modules; give examples of how various assumptions, powertrain configurations, and business strategies impact the cost to the end user; and show the vehicle's levelized cost per mile sensitivity to seven major operational parameters.

O'Keefe, M.; Brooker, A.; Johnson, C.; Mendelsohn, M.; Neubauer, J.; Pesaran, A.

2011-01-01T23:59:59.000Z

328

Battery Ownership Model: A Tool for Evaluating the Economics of Electrified Vehicles and Related Infrastructure; Preprint  

SciTech Connect

Electric vehicles could significantly reduce greenhouse gas (GHG) emissions and dependence on imported petroleum. However, for mass adoption, EV costs have historically been too high to be competitive with conventional vehicle options due to the high price of batteries, long refuel time, and a lack of charging infrastructure. A number of different technologies and business strategies have been proposed to address some of these cost and utility issues: battery leasing, battery fast-charging stations, battery swap stations, deployment of charge points for opportunity charging, etc. In order to investigate these approaches and compare their merits on a consistent basis, the National Renewable Energy Laboratory (NREL) has developed a new techno-economic model. The model includes nine modules to examine the levelized cost per mile for various types of powertrain and business strategies. The various input parameters such as vehicle type, battery, gasoline, and electricity prices; battery cycle life; driving profile; and infrastructure costs can be varied. In this paper, we discuss the capabilities of the model; describe key modules; give examples of how various assumptions, powertrain configurations, and business strategies impact the cost to the end user; and show the vehicle's levelized cost per mile sensitivity to seven major operational parameters.

O' Keefe, M.; Brooker, A.; Johnson, C.; Mendelsohn, M.; Neubauer, J.; Pesaran, A.

2011-01-01T23:59:59.000Z

329

The Response of the Auto Industry and Consumers to Changes in the Exhaust Emission and Fuel Economy Standards (1975-2003): A Historical Review of Changes in Technology, Prices and Sales of Various Classes of Vehicles  

E-Print Network (OSTI)

are given by vehicle class, manufacturer, and model group.sales of vehicle models from many manufacturers for of thefor California vehicles (only early imports) Manufacturer

Burke, Andy; Abeles, Ethan; Chen, Belinda

2004-01-01T23:59:59.000Z

330

Well-to-Wheels Energy Use and Greenhouse Gas Emissions of Plug-In Hybrid Electric Vehicles  

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

Well-to-Wheels Energy Use and Greenhouse Gas Emissions of Well-to-Wheels Energy Use and Greenhouse Gas Emissions of Plug-In Hybrid Electric Vehicles Amgad Elgowainy and Michael Wang Center for Transportation Research Argonne National Laboratory LDV Workshop July26, 2010 2 2 2 Team Members 2  ANL's Energy Systems (ES) Division  Michael Wang (team leader)  Dan Santini  Anant Vyas  Amgad Elgowainy  Jeongwoo Han  Aymeric Rousseau  ANL's Decision and Information Sciences (DIS) Division:  Guenter Conzelmann  Leslie Poch  Vladimir Koritarov  Matt Mahalik  Thomas Veselka  Audun Botterud  Jianhui Wang  Jason Wang 3 3 3 Scope of Argonne's PHEV WTW Analysis: Vehicle Powertrain Systems and Fuel Pathways 3  Vehicle powertrain systems:  Conventional international combustion engine vehicles (ICEVs)

331

Vehicle-track-underground modeling of rail induced wave propagation  

Science Conference Proceedings (OSTI)

A moving rail vehicle may cause propagating waves to the surroundings potentially leading to detrimental effects for the track construction, nuisances for the surroundings and interference with delicate electronic equipment. A full computational model ... Keywords: Finite element analysis, Rigid body dynamics, Vibrations

Håkan Lane; Torbjörn Ekevid; Per Kettil; Chun Yuen Ching; Nils-Erik Wiberg

2007-08-01T23:59:59.000Z

332

Hybrid Vehicle Technology - Home  

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

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

333

Modeling Electric Vehicle Benefits Connected to Smart Grids  

DOE Green Energy (OSTI)

Connecting electric storage technologies to smartgrids will have substantial implications in building energy systems. Local storage will enable demand response. Mobile storage devices in electric vehicles (EVs) are in direct competition with conventional stationary sources at the building. EVs will change the financial as well as environmental attractiveness of on-site generation (e.g. PV, or fuel cells). In order to examine the impact of EVs on building energy costs and CO2 emissions in 2020, a distributed-energy-resources adoption problem is formulated as a mixed-integer linear program with minimization of annual building energy costs or CO2 emissions. The mixed-integer linear program is applied to a set of 139 different commercial buildings in California and example results as well as the aggregated economic and environmental benefits are reported. The research shows that considering second life of EV batteries might be very beneficial for commercial buildings.

Stadler, Michael; Marnay, Chris; Mendes, Goncalo; Kloess, Maximillian; Cardoso, Goncalo; Mégel, Olivier; Siddiqui, Afzal

2011-07-01T23:59:59.000Z

334

Plug-In Hybrid Electric Vehicles - PHEV Modeling - Model Validation  

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

Chevy Equinox, Ford Explorer) have been validated within 1% of fuel economy. Hybrid electric vehicles (e.g., Honda Insight, Toyota Prius, Lexus RX400h) have been validated...

335

Nonlinear and linear models for losses of plug in hybrid electric vehicle: A computation approach  

Science Conference Proceedings (OSTI)

This paper presents nonlinear and linear models for the losses of Plug in Hybrid Electric Vehicle (PHEV). An accurate model to calculate the PHEV losses for just one vehicle is not remarkable. However

2013-01-01T23:59:59.000Z

336

Alternative Fuels Data Center: Vehicle Cost Calculator  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

337

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

338

Magnitude and value of electric vehicle emissions reductions for six driving cycles in four US cities with varying air quality problems  

DOE Green Energy (OSTI)

The emissions of logically competing mid-1990 gasoline vehicles (GVs) and electric vehicles (EVs) are estimated as if the vehicles were driven in the same pattern of driving. Six different driving cycles are evaluated, ranging in speed from 7 to 49 miles per hour (mph). These steps are repeated using specifics of fuel composition, electric power mix, and environmental conditions applicable to Chicago, Denver, Los Angeles, and New York in the month of July. The year 2000 emissions differences for each of four regulated pollutants - HC, CO, NO{sub x,} SO{sub x} - are estimated. CO{sub 2} emissions are also estimated. With use of EVs, HC and CO emissions are consistently lowered by 98% or more. CO{sub 2} emissions reductions are uniformly large at low speed, but variable at high speed. It is found that initially introduced EVs could achieve 100% emission reductions in Chicago by using off-peak power from nuclear power plants for EV electricity generation. Emissions reductions occur for all combinations in Los Angeles, and for most combinations in New York, excepting SO{sub x}. NO{sub x} emissions are reduced in all four cities. An ``avoided cost`` value for each regulated pollutant is estimated for each of the cities. The values for each city depend on severity of air quality violations. It is estimated that the emissions reduction value of EVs driven an average of one and one half hours per day in Los Angeles ranges from $1050 to $3,900; $590 to $2100 in New York; $270 to $1200 in Chicago, and $330 to $1250 in Denver (1989$). Assuming a range of about 100 miles in congested conditions with speeds of 10 mph or less, the estimates range from $3600 to $13300 for Los Angeles; $2004 to $7200 for New York; $930 to $2930 for Chicago; and $1120 to $4290 for Denver. Low estimates are obtained using EPA`s draft Mobile5 model for GV emissions, high values by using California`s EMFAC7EP-SCF1 model. The dollar value benefit estimates include no economic value.

Wang, Q. [California Univ., Davis, CA (United States); Santini, D.L. [Argonne National Lab., IL (United States)

1992-12-31T23:59:59.000Z

339

Magnitude and value of electric vehicle emissions reductions for six driving cycles in four US cities with varying air quality problems  

DOE Green Energy (OSTI)

The emissions of logically competing mid-1990 gasoline vehicles (GVs) and electric vehicles (EVs) are estimated as if the vehicles were driven in the same pattern of driving. Six different driving cycles are evaluated, ranging in speed from 7 to 49 miles per hour (mph). These steps are repeated using specifics of fuel composition, electric power mix, and environmental conditions applicable to Chicago, Denver, Los Angeles, and New York in the month of July. The year 2000 emissions differences for each of four regulated pollutants - HC, CO, NO[sub x,] SO[sub x] - are estimated. CO[sub 2] emissions are also estimated. With use of EVs, HC and CO emissions are consistently lowered by 98% or more. CO[sub 2] emissions reductions are uniformly large at low speed, but variable at high speed. It is found that initially introduced EVs could achieve 100% emission reductions in Chicago by using off-peak power from nuclear power plants for EV electricity generation. Emissions reductions occur for all combinations in Los Angeles, and for most combinations in New York, excepting SO[sub x]. NO[sub x] emissions are reduced in all four cities. An avoided cost'' value for each regulated pollutant is estimated for each of the cities. The values for each city depend on severity of air quality violations. It is estimated that the emissions reduction value of EVs driven an average of one and one half hours per day in Los Angeles ranges from $1050 to $3,900; $590 to $2100 in New York; $270 to $1200 in Chicago, and $330 to $1250 in Denver (1989$). Assuming a range of about 100 miles in congested conditions with speeds of 10 mph or less, the estimates range from $3600 to $13300 for Los Angeles; $2004 to $7200 for New York; $930 to $2930 for Chicago; and $1120 to $4290 for Denver. Low estimates are obtained using EPA's draft Mobile5 model for GV emissions, high values by using California's EMFAC7EP-SCF1 model. The dollar value benefit estimates include no economic value.

Wang, Q. (California Univ., Davis, CA (United States)); Santini, D.L. (Argonne National Lab., IL (United States))

1992-01-01T23:59:59.000Z

340

Lean NOx Trap Modeling in Vehicle Systems Simulations  

DOE Green Energy (OSTI)

A one-dimensional model for simulating lean NOx trap (LNT) performance is developed and validated using both steady state cycling data and transient data from FTP testing cycles. The model consists of the conservation equations for chemical species and energy in the bulk flow, energy of the solid walls, O2 storage and NOx storage (in the form of nitrites and nitrates). Nitrites and nitrates are formed by diffusion of NO and NO2, respectively, into sorbent particles (assumed to be hemi-spherical in shape) along with O2 and their formation rates are controlled by chemical kinetics as well as solid-phase diffusion rates of NOx species. The model also accounts for thermal aging and sulfation of LNTs. Empirical correlations are developed on the basis of published experimental data to capture these effects. These empirical correlations depend on total mileage for which the LNT has been in use, the mileage accumulated since the last desulfation event in addition to the freshly degreened catalyst characteristics. The model has been used in studies of vehicle systems (integration, performance etc.) including hybrid powertrain configurations. Since the engines in hybrid vehicles turn on and off multiple number of times during single drive cycles, the exhaust systems may encounter multiple cold start transients. Accurate modeling of catalyst warm-up and cooling is, therefore, very important to simulate LNT performance in such vehicles. For this purpose, the convective heat loss from the LNT to the ambient is modeled using a Nusselt number correlation that includes effects of both forced convection and natural convection (with later being important when vehicle is stationary). Using the model, the fuel penalty associated with operating LNTs on small diesel engine powered car during FTP drive cycles is estimated.

Gao, Zhiming [ORNL; Chakravarthy, Veerathu K [ORNL; Daw, C Stuart [ORNL; Conklin, Jim [ORNL

2010-09-01T23:59:59.000Z

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

Electric Vehicles: Performance, Life-Cycle Costs, Emissions, and Recharging Requirements  

E-Print Network (OSTI)

Table3 to the incre- no oil costs, and that Na/S batteries,costs, of vehicle’s Oil costs, percent ofgasoline vehicle’stires are (M&R) costs (we exclude fires and oil) than ICEVs,

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

1989-01-01T23:59:59.000Z

342

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

E-Print Network (OSTI)

in a Shared Electric Vehicle Program. In Transporta- tiontechnologies and electric vehicles in Japan. E a r l y H i ssur­ vey. Nearly 50 electric vehicles were used, including

Shaheen, Susan; Sperling, Dan; Wright, John

2004-01-01T23:59:59.000Z

343

Assessment of the Greenhouse Gas Emission Reduction Potential of Ultra-Clean Hybrid-Electric Vehicles  

E-Print Network (OSTI)

OF TECHNOLOGIES FOR HYBRID-ELECTRIC VEHICLES 4.1EnginesG.H. , SIMPLEV: Simple Electric Vehicle Simulation Program-G.H, SIMPLEV: Simple Electric Vehicle Simulation Program-

Burke, A.F.; Miller, M.

1997-01-01T23:59:59.000Z

344

The California Zero-Emission Vehicle Mandate: A Study of the Policy Process, 1990-2004  

E-Print Network (OSTI)

one product or industry (electric vehicles) to the exclusionelectric vehicle (electric utilities, battery developers, and electric-drive components industry).industry had a vested interest in the debate, as a success of electric vehicles

Collantes, Gustavo O

2006-01-01T23:59:59.000Z

345

Assessment of the Greenhouse Gas Emission Reduction Potential of Ultra-Clean Hybrid-Electric Vehicles  

E-Print Network (OSTI)

OF TECHNOLOGIES FOR HYBRID-ELECTRIC VEHICLES 4.1Engines13. Burke, A.F. , Hybrid/Electric Vehicle Design Options andOperation for Hybrid/Electric Vehicles, SAE Paper 930042,

Burke, A.F.; Miller, M.

1997-01-01T23:59:59.000Z

346

The Economic, Energy, and GHG Emissions Impacts of Proposed 2017–2025 Vehicle Fuel Economy Standards in the United States  

E-Print Network (OSTI)

Increases in the U.S. Corporate Average Fuel Economy (CAFE) Standards for 2017 to 2025 model year light-duty vehicles are currently under consideration. This analysis uses an economy-wide model with detail in the passenger ...

Karplus, Valerie

2012-07-31T23:59:59.000Z

347

Technology Status and Expected Greenhouse Gas Emissions of Battery, Plug?In Hybrid, and Fuel Cell Electric Vehicles  

Science Conference Proceedings (OSTI)

Electric vehicles (EVs) of various types are experiencing a commercial renaissance but of uncertain ultimate success. Many new electric?drive models are being introduced by different automakers with significant technical improvements from earlier models

2011-01-01T23:59:59.000Z

348

Assessment of the Greenhouse Gas Emission Reduction Potential of Ultra-Clean Hybrid-Electric Vehicles  

E-Print Network (OSTI)

vehicles using the Stirling engine are very. low (less thanexcept possibly with the Stirling engine. Theprospects ofHybrid Vehicles using Stirling Engines with DifferentAll-

Burke, A.F.; Miller, M.

1997-01-01T23:59:59.000Z

349

Modeling the Capacity and Emissions Impacts of Reduced Electricity...  

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

Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand Title Modeling the Capacity and Emissions Impacts of Reduced Electricity Demand Publication Type Report...

350

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

351

Biofuels, Climate Policy and the European Vehicle Fleet  

E-Print Network (OSTI)

We examine the effect of biofuels mandates and climate policy on the European vehicle fleet, considering the prospects for diesel and gasoline vehicles. We use the MIT Emissions Prediction and Policy Analysis (EPPA) model, ...

Rausch, Sebastian

352

Vehicle Transient Air Conditioning Analysis: Model Development& System Optimization Investigations  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has developed a transient air conditioning (A/C) system model using SINDA/FLUINT analysis software. It captures all the relevant physics of transient A/C system performance, including two-phase flow effects in the evaporator and condenser, system mass effects, air side heat transfer on the condenser/evaporator, vehicle speed effects, temperature-dependent properties, and integration with a simplified cabin thermal model. It has demonstrated robust and powerful system design optimization capabilities. Single-variable and multiple variable design optimizations have been performed and are presented. Various system performance parameters can be optimized, including system COP, cabin cool-down time, and system heat load capacity. This work presents this new transient A/C system analysis and optimization tool and shows some high-level system design conclusions reached to date. The work focuses on R-134a A/C systems, but future efforts will modify the model to investigate the transient performance of alternative refrigerant systems such as carbon dioxide systems. NREL is integrating its transient air conditioning model into NRELs ADVISOR vehicle system analysis software, with the objective of simultaneously optimizing A/C system designs within the overall vehicle design optimization.

Hendricks, T. J.

2001-06-01T23:59:59.000Z

353

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

354

TAFV Alternative Fuels and Vehicles Choice Model Documentation  

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

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

355

Meeting future exhaust emissions standards using natural gas as a vehicle fuel: Lessons learned from the natural gas vehicle challenge '92  

DOE Green Energy (OSTI)

The Natural Gas Vehicle Challenge '92, organized by Argonne National Laboratory and sponsored by the US Department of Energy, the Energy, Mines, and Resources - Canada, the Society of Automotive Engineers, and many others, resulted in 20 varied approaches to the conversion of a gasoline-fueled, spark-ignited, internal combustion engine to dedicated natural gas use. Starting with a GMC Sierra 2500 pickup truck, donated by General Motors, teams of college and university student engineers strived to optimize Chevrolet V-8 engines operating on natural gas for improved emissions, fuel economy, performance, and advanced design features. This paper focuses on the results of the emission event, and compares engine mechanical configurations, engine management systems, catalyst configurations and locations, and approaches to fuel control and the relationship of these parameters to engine-out and tailpipe emissions of regulated exhaust constituents. Nine of the student-modified trucks passed the current levels of exhaust emission standards, and some exceeded the strictest future emissions standards envisioned by the US Environmental Protection Agency. Factors in achieving good emissions control using natural gas are summarized, and observations concerning necessary components of a successful emissions control strategy are presented.

Rimkus, W.A.; Larsen, R.P.

1992-01-01T23:59:59.000Z

356

Meeting future exhaust emissions standards using natural gas as a vehicle fuel: Lessons learned from the natural gas vehicle challenge `92  

DOE Green Energy (OSTI)

The Natural Gas Vehicle Challenge `92, organized by Argonne National Laboratory and sponsored by the US Department of Energy, the Energy, Mines, and Resources - Canada, the Society of Automotive Engineers, and many others, resulted in 20 varied approaches to the conversion of a gasoline-fueled, spark-ignited, internal combustion engine to dedicated natural gas use. Starting with a GMC Sierra 2500 pickup truck, donated by General Motors, teams of college and university student engineers strived to optimize Chevrolet V-8 engines operating on natural gas for improved emissions, fuel economy, performance, and advanced design features. This paper focuses on the results of the emission event, and compares engine mechanical configurations, engine management systems, catalyst configurations and locations, and approaches to fuel control and the relationship of these parameters to engine-out and tailpipe emissions of regulated exhaust constituents. Nine of the student-modified trucks passed the current levels of exhaust emission standards, and some exceeded the strictest future emissions standards envisioned by the US Environmental Protection Agency. Factors in achieving good emissions control using natural gas are summarized, and observations concerning necessary components of a successful emissions control strategy are presented.

Rimkus, W.A.; Larsen, R.P.

1992-09-01T23:59:59.000Z

357

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

358

Assessment of the Greenhouse Gas Emission Reduction Potential of Ultra-Clean Hybrid-Electric Vehicles  

E-Print Network (OSTI)

hybrid vehicle technologyunless there are special incentives through newemissionsor fuel economy regulations or tax

Burke, A.F.; Miller, M.

1997-01-01T23:59:59.000Z

359

Clean Cities 2014 Vehicle Buyer's Guide (Brochure)  

DOE Green Energy (OSTI)

This annual guide features a comprehensive list of 2014 light-duty alternative fuel and advanced vehicles, grouped by fuel and technology. The guide provides model-specific information on vehicle specifications, manufacturer suggested retail price, fuel economy, energy impact, and emissions. The information can be used to identify options, compare vehicles, and help inform purchase decisions.

Not Available

2013-12-01T23:59:59.000Z

360

Clean Cities 2011 Vehicle Buyer's Guide  

DOE Green Energy (OSTI)

The 2011 Clean Cities Light-Duty Vehicle Buyer's Guide is a consumer publication that provides a comprehensive list of commercially available alternative fuel and advanced vehicles in model year 2011. The guide allows for side-by-side comparisons of fuel economy, price, emissions, and vehicle specifications.

Not Available

2011-01-01T23:59:59.000Z

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

Analysis of Acoustic Signatures from Moving Vehicles UsingTime-Varying Autoregressive Models  

Science Conference Proceedings (OSTI)

Time-varying autoregressive (TVAR) modeling approach for the analysis of acoustic signatures from moving vehicles is presented in this paper. Acoustic signatures from moving vehicles are nonstationary, and features extracted under the stationary ... Keywords: acoustic, classification, time-varying autoregressive model, time-varying, vehicle identification

Kie B. Eom

1999-10-01T23:59:59.000Z

362

Search on Modeling and Collaborative Simulation for Electric Drive Wheeled Armored Vehicle  

Science Conference Proceedings (OSTI)

In order to evaluate the performance of electric transmission wheeled armored vehicle, models of motor driving system and dynamics of the 8 wheels drive vehicles based on ADAMS/Car were constructed, which compose the model of collaborative simulation ... Keywords: ADAMS/Car, Matlab, electric transmission, wheeled armored vehicle, collaborative simulation, dynamic performance

Zili Liao, Guibing Yang, Chunguang Liu, Yu Xiang

2012-07-01T23:59:59.000Z

363

Probabilistic Modelling of Plug-in Hybrid Electric Vehicle Impacts on Distribution Networks in  

E-Print Network (OSTI)

Probabilistic Modelling of Plug-in Hybrid Electric Vehicle Impacts on Distribution Networks Committee Probabilistic Modelling of Plug-in Hybrid Electric Vehicle Impacts on Distribution Networks) Departmental Member Plug-in hybrid electric vehicles (PHEVs) represent a promising future direction

Victoria, University of

364

A Structural Model of Vehicle Use in Two-Vehicle Households  

E-Print Network (OSTI)

vehicle sports car implies that usage is shifted towardthecars as secondcars have a weakerpositive relationship to usage,

Golob, Thomas F.; Kim, Seyoung; Ren, Weiping

1994-01-01T23:59:59.000Z

365

Electric and Gasoline Vehicle Lifecycle Cost and Energy-Use Model  

E-Print Network (OSTI)

Auto Industry Models to Review Electric Vehicle Costing andElectric Vehicles in the Nation's Energy Future , DE86-003295, Argonne National Laboratory, Illinois, November (1984). Auto industry

Delucchi, Mark; Burke, Andy; Lipman, Timothy; Miller, Marshall

2000-01-01T23:59:59.000Z

366

Costs and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory  

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

Costs and Emissions Costs and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory K. Parks, P. Denholm, and T. Markel Technical Report NREL/TP-640-41410 May 2007 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 Costs and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory K. Parks, P. Denholm, and T. Markel Prepared under Task No. WR61.2001 Technical Report NREL/TP-640-41410 May 2007 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle

367

Energyenvironment policy modeling of endogenous technological change with personal vehicles  

E-Print Network (OSTI)

reserved. Keywords: Greenhouse gas; Hybrid cost models; Transportation emissions policy; Bottom-up; Top-down; Technological change; Greenhouse gas abatement policy 1. Introduction A major challenge for greenhouse gas (GHGMETHODS Energy­environment policy modeling of endogenous technological change with personal

368

DOD/NREL Model Integrates Vehicles, Renewables & Microgrid (Fact...  

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

locations for systems connecting electric vehicles with solar energy sources and microgrids. A microgrid that integrates renewable generation and vehicle energy storage offers...

369

Advanced controls and modeling of a hybrid vehicle.  

E-Print Network (OSTI)

??The Texas Tech University Advanced Vehicle Engineering Team has been working in vehicle competitions for 20 years. From that experience the team designed a hybrid… (more)

Harrison, Matthew

2008-01-01T23:59:59.000Z

370

Plug-In Hybrid Electric Vehicles - PHEV Modeling  

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

configurations for advanced vehicles. Thus, developing fuel cells and hybrid electric vehicles (HEVs) requires accurate, flexible simulation tools. Argonne undertook a...

371

Plug-In Hybrid Electric Vehicles - PHEV Modeling - Component Technologies  

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

Technologies Impact on Fuel Efficiency Technologies Impact on Fuel Efficiency One of the main objectives of the U.S. Department of Energy's (DOE's) Plug-in Hybrid Electric Vehicle (PHEV) R&D Plan (2.2Mb pdf) is to "determine component development requirements" through simulation analysis. Overall fuel efficiency is affected by component technologies from a component sizing and efficiency aspect. To properly define component requirements, several technologies for each of the main components (energy storage, engine and electric machines) are being compared at Argonne using PSAT. Per the R&D plan, several Li-ion battery materials are being modeled to evaluate their impacts on fuel efficiency and vehicle mass. Different Power to Energy ratios are being considered to understand the relative impact of power and energy.

372

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...

373

Trajectory Design and Implementation for Multiple Autonomous Underwater Vehicles Based on Ocean Model Predictions  

E-Print Network (OSTI)

Underwater Vehicles Based on Ocean Model Predictions Ryan N.Trajectory Design based on Ocean Model Predictions PredictEffective tracking of ocean features Gather specific in situ

2009-01-01T23:59:59.000Z

374

Costs and Emissions Associated with Plug-In Hybrid Electric Vehicle Charging in the Xcel Energy Colorado Service Territory  

DOE Green Energy (OSTI)

The combination of high oil costs, concerns about oil security and availability, and air quality issues related to vehicle emissions are driving interest in plug-in hybrid electric vehicles (PHEVs). PHEVs are similar to conventional hybrid electric vehicles, but feature a larger battery and plug-in charger that allows electricity from the grid to replace a portion of the petroleum-fueled drive energy. PHEVs may derive a substantial fraction of their miles from grid-derived electricity, but without the range restrictions of pure battery electric vehicles. As of early 2007, production of PHEVs is essentially limited to demonstration vehicles and prototypes. However, the technology has received considerable attention from the media, national security interests, environmental organizations, and the electric power industry. The use of PHEVs would represent a significant potential shift in the use of electricity and the operation of electric power systems. Electrification of the transportation sector could increase generation capacity and transmission and distribution (T&D) requirements, especially if vehicles are charged during periods of high demand. This study is designed to evaluate several of these PHEV-charging impacts on utility system operations within the Xcel Energy Colorado service territory.

Parks, K.; Denholm, P.; Markel, T.

2007-05-01T23:59:59.000Z

375

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

376

A Multi-Country Analysis of Lifecycle Emissions From Transportation Fuels and Motor Vehicles  

E-Print Network (OSTI)

wood, grass, or corn. It considers fuel-cell electric vehicles (FCVs) as well as internal- combustion

Delucchi, Mark

2005-01-01T23:59:59.000Z

377

A MULTI-COUNTRY ANALYSIS OF LIFECYCLE EMISSIONS FROM TRANSPORTATION FUELS AND MOTOR VEHICLES  

E-Print Network (OSTI)

wood, grass, or corn. It considers fuel-cell electric vehicles (FCVs) as well as internal- combustion

Delucchi, Mark

2005-01-01T23:59:59.000Z

378

Comparative Modeling Analysis of Plug-in Electric Vehicle Architectures  

Science Conference Proceedings (OSTI)

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

2010-12-21T23:59:59.000Z

379

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...

380

Engines - Emissions Assessment  

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

EPRI Hybrid Electric Vehicle Working Group: HEV Costs and Emissions EPRI Hybrid Electric Vehicle Working Group: HEV Costs and Emissions Hybrid electric vehicles (HEVs) are attractive options for increasing vehicle fuel economy and reducing emissions of criteria pollutants and greenhouse gases. Two automobile manufacturers have already introduced HEVs, and other manufacturers are planning to introduce their own models. One available HEV combines mass reduction (also applicable to conventional vehicles) with idle-stop, regenerative braking, and electric-drive assist to achieve a fuel economy more than 2.5 times the current Corporate Average Fuel Economy (CAFE) standard. The second HEV combines idle-stop, regenerative braking, electric assist acceleration, and continuously variable transmission (CVT) to achieve a fuel economy of more than twice the current CAFÉ standard, qualifying as a super ultra-low emissions vehicle (SULEV).

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

U.S. Environmental Protection Agency's National Vehicle and Fuel Emissions Laboratory, Ann Arbor, Michigan  

DOE Green Energy (OSTI)

This case study was prepared as one in a series for the Laboratories for the 21st Century program, a joint endeavor of the U.S. Environmental Protection Agency and the U.S. Department of Energy's Federal Energy Management Program. The goal of this program is to foster greater energy efficiency in new and retrofit laboratory buildings in both the public and the private sectors. The energy-efficient elements of the laboratory featured in this case study-EPA's National Vehicle and Fuel Emissions Laboratory, Ann Arbor, Michigan-include the addition of digital controls for heating and cooling equipment, variable-air-volume supply and exhaust systems, energy recovery systems, water conservation equipment, and the use of a fuel cell to supplement grid-supplied electricity with a nonpolluting source of power. These features and upgrades were installed as part of an Energy Savings Performance Contract; the result has been a 60% drop in energy costs and a 50% reduction in domestic water use at the laboratory.

Not Available

2002-12-01T23:59:59.000Z

382

Black Carbon Concentrations and Diesel Vehicle Emission Factors Derived from Coefficient of Haze Measurements in California: 1967-2003  

SciTech Connect

We have derived ambient black carbon (BC) concentrations and estimated emission factors for on-road diesel vehicles from archived Coefficient of Haze (COH) data that was routinely collected beginning in 1967 at 11 locations in the San Francisco Bay Area. COH values are a measure of the attenuation of light by particles collected on a white filter, and available data indicate they are proportional to BC concentrations measured using the conventional aethalometer. Monthly averaged BC concentrations are up to five times greater in winter than summer, and, consequently, so is the population?s exposure to BC. The seasonal cycle in BC concentrations is similar for all Bay Area sites, most likely due to area-wide decreased pollutant dispersion during wintertime. A strong weekly cycle is also evident, with weekend concentrations significantly lower than weekday concentrations, consistent with decreased diesel traffic volume on weekends. The weekly cycle suggests that, in the Bay Area, diesel vehicle emissions are the dominant source of BC aerosol. Despite the continuous increase in diesel fuel consumption in California, annual Bay Area average BC concentrations decreased by a factor of ~;;3 from the late 1960s to the early 2000s. Based on estimated annual BC concentrations, on-road diesel fuel consumption, and recent measurements of on-road diesel vehicle BC emissions, diesel BC emission factors decreased by an order of magnitude over the study period. Reductions in the BC emission factor reflect improved engine technology, emission controls and changes in diesel fuel composition. A new BC monitoring network is needed to continue tracking ambient BC trends because the network of COH monitors has recently been retired.

Tast, CynthiaL; Kirchstetter, Thomas W.; Aguiar, Jeffery; Tonse, Shaheen; Novakov, T.; Fairley, David

2007-11-09T23:59:59.000Z

383

Black Carbon Concentrations and Diesel Vehicle Emission FactorsDerived from Coefficient of Haze Measurements in California:1967-2003  

SciTech Connect

We have derived ambient black carbon (BC) concentrations and estimated emission factors for on-road diesel vehicles from archived Coefficient of Haze (COH) data that was routinely collected beginning in 1967 at 11 locations in the San Francisco Bay Area. COH values are a measure of the attenuation of light by particles collected on a white filter, and available data indicate they are proportional to BC concentrations measured using the conventional aethalometer. Monthly averaged BC concentrations are up to five times greater in winter than summer, and, consequently, so is the population's exposure to BC. The seasonal cycle in BC concentrations is similar for all Bay Area sites, most likely due to area-wide decreased pollutant dispersion during wintertime. A strong weekly cycle is also evident, with weekend concentrations significantly lower than weekday concentrations, consistent with decreased diesel traffic volume on weekends. The weekly cycle suggests that, in the Bay Area, diesel vehicle emissions are the dominant source of BC aerosol. Despite the continuous increase in diesel fuel consumption in California, annual Bay Area average BC concentrations decreased by a factor of {approx}3 from the late 1960s to the early 2000s. Based on estimated annual BC concentrations, on-road diesel fuel consumption, and recent measurements of on-road diesel vehicle BC emissions, diesel BC emission factors decreased by an order of magnitude over the study period. Reductions in the BC emission factor reflect improved engine technology, emission controls and changes in diesel fuel composition. A new BC monitoring network is needed to continue tracking ambient BC trends because the network of COH monitors has recently been retired.

Kirchstetter, Thomas W.; Aguiar, Jeffery; Tonse, Shaheen; Novakov, T.

2007-10-01T23:59:59.000Z

384

Present Status and Marketing Prospects of the Emerging Hybrid-Electric and Diesel Technologies to Reduce CO2 Emissions of New Light-Duty Vehicles in California  

E-Print Network (OSTI)

economy and emissions of the Toyota and Honda Hybrid Cars (of the Toyota and Honda Hybrid Cars (2003) Vehicle Trans. /is uncertain. Hybrid-electric passenger cars are currently

Burke, Andy

2004-01-01T23:59:59.000Z

385

Putting policy in drive : coordinating measures to reduce fuel use and greenhouse gas emissions from U.S. light-duty vehicles  

E-Print Network (OSTI)

The challenges of energy security and climate change have prompted efforts to reduce fuel use and greenhouse gas emissions in light-duty vehicles within the United States. Failures in the market for lower rates of fuel ...

Evans, Christopher W. (Christopher William)

2008-01-01T23:59:59.000Z

386

Application of positive matrix factorization to on-road measurements for source apportionment of diesel- and gasoline-powered vehicle emissions in Mexico City  

E-Print Network (OSTI)

The goal of this research is to quantify diesel- and gasoline-powered motor vehicle emissions within the Mexico City Metropolitan Area (MCMA) using on-road measurements captured by a mobile laboratory combined with positive ...

Thornhill, D. A.

387

System Dynamics: HyDIVE(TM) (Hydrogen Dynamic Infrastructure and Vehicle Evolution) Model (Presentation)  

DOE Green Energy (OSTI)

This presentation by Cory Welch at the 2007 DOE Hydrogen Program Annual Merit Review Meeting focuses on Hydrogen Dynamic Infrastructure and Vehicle Evolution Model.

Welch, C.

2007-05-16T23:59:59.000Z

388

Modeling, Simulation & Implementation of Li-ion Battery Powered Electric and Plug-in Hybrid Vehicles.  

E-Print Network (OSTI)

??The modeling, simulation and hardware implementation of a Li-ion battery powered electric vehicle are presented in this thesis. The results obtained from simulation and experiments… (more)

Mantravadi, Siva Rama Prasanna

2011-01-01T23:59:59.000Z

389

Fuel Property, Emission Test, and Operability Results from a Fleet of Class 6 Vehicles Operating on Gas-to-Liquid Fuel and Catalyzed Diesel Particle Filters  

DOE Green Energy (OSTI)

A fleet of six 2001 International Class 6 trucks operating in southern California was selected for an operability and emissions study using gas-to-liquid (GTL) fuel and catalyzed diesel particle filters (CDPF). Three vehicles were fueled with CARB specification diesel fuel and no emission control devices (current technology), and three vehicles were fueled with GTL fuel and retrofit with Johnson Matthey's CCRT diesel particulate filter. No engine modifications were made.

Alleman, T. L.; Eudy, L.; Miyasato, M.; Oshinuga, A.; Allison, S.; Corcoran, T.; Chatterjee, S.; Jacobs, T.; Cherrillo, R. A.; Clark, R.; Virrels, I.; Nine, R.; Wayne, S.; Lansing, R.

2005-11-01T23:59:59.000Z

390

Chinese Rural Vehicles: An Explanatory Analysis of Technology, Economics, Industrial Organization, Energy Use, Emissions, and Policy  

E-Print Network (OSTI)

done before the linkage between rural motorization and cropconcern in China, due to huge rural population, diminishingcity roads are filled with rural vehicles! Many many 3-w

Sperling, Dan; Lin, Zhenhong; Hamilton, Peter

2004-01-01T23:59:59.000Z

391

Zero-Emission Vehicle Scenario Cost Analysis Using A Fuzzy Set-Based Framework  

E-Print Network (OSTI)

and to capture regenerative braking energy, or a simplerto recapture regenerative braking energy over a modestto recapture regenerative braking energy and to meet vehicle

Lipman, Timothy Edward

1999-01-01T23:59:59.000Z

392

The California Zero-Emission Vehicle Mandate: A Study of the Policy Process, 1990-2004  

E-Print Network (OSTI)

petroleum gas, compressed natural gas, electricity, and “to supply compressed natural gas and electricity though.category are compressed natural gas vehicles, hydrogen

Collantes, Gustavo O

2006-01-01T23:59:59.000Z

393

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

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

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

394

Development of Technologies for a High Efficiency, Very Low Emission, Diesel Engine for Light Trucks and Sport Utility Vehicles  

DOE Green Energy (OSTI)

Cummins Inc., in partnership with the Department of Energy, has developed technology for a new highly efficient, very low emission, diesel engine for light trucks and sport utility vehicles. This work began in April 1997, and started with very aggressive goals for vehicles in the 5751 to 8500 pound GCW weight class. The primary program goals were as follows: (1) EMISSIONS -- NOx = 0.50 g/mi; PM = 0.05 g/mi; CO = 2.8 g/mi; and NMHC = 0.07 g/mi. California decided to issue new and even tougher LEV II light truck regulations late in 1999. EPA also issued its lower Tier 2 regulations late in 2000. The net result was that the targets for this diesel engine project were lowered, and these goals were eventually modified by the publication of Federal Tier 2 emission standards early in 2000 to the following: NOx = 0.07 g/mi; and PM = 0.01 g/mi. (2) FUEL ECONOMY -- The fuel economy goal was 50 percent MPG improvement (combined city/highway) over the 1997 gasoline powered light truck or sport utility vehicle in the vehicle class for which this diesel engine is being designed to replace. The goal for fuel economy remained at 50 percent MPG improvement, even with the emissions goal revisions. (3) COOPERATIVE DEVELOPMENT -- Regular design reviews of the engine program will be conducted with a vehicle manufacturer to insure that the concepts and design specifics are commercially feasible. (DaimlerChrysler has provided Cummins with this design review input.) Cummins has essentially completed a demonstration of proof-of-principle for a diesel engine platform using advanced combustion and fuel system technologies. Cummins reported very early progress in this project, evidence that new diesel engine technology had been developed that demonstrated the feasibility of the above emissions goals. Emissions levels of NOx = 0.4 g/mi and PM = 0.06 g/mi were demonstrated for a 5250 lb. test weight vehicle with passive aftertreatment only. These results were achieved using the full chassis dynamometer FTP-75 test procedure that allowed compliance with the Tier 2 Interim Bin 10 Standards and would apply to vehicles in MY2004 through MY2007 timeframe. In further technology development with active aftertreatment management, Cummins has been able to report that the emissions goals for the Tier 2 Bin 5 standards were met on an engine running the full FTP-75 test procedure. The fuel economy on the chassis tests was measured at over 59 percent MPG improvement over the gasoline engines that are offered in typical SUVs and light trucks. The above demonstration used only in-cylinder fueling for management of the aftertreatment system.

Stang, John H.

2005-12-19T23:59:59.000Z

395

Development of Technologies for a High Efficiency, Very Low Emission, Diesel Engine for Light Trucks and Sport Utility Vehicles  

DOE Green Energy (OSTI)

Cummins Inc., in partnership with the Department of Energy, has developed technology for a new highly efficient, very low emission, diesel engine for light trucks and sport utility vehicles. This work began in April 1997, and started with very aggressive goals for vehicles in the 5751 to 8500 pound GCW weight class. The primary program goals were as follows: (1) EMISSIONS--NO{sub x} = 0.50 g/mi; PM = 0.05 g/mi; CO = 2.8 g/mi; and NMHC = 0.07 g/mi. California decided to issue new and even tougher LEV II light truck regulations late in 1999. EPA also issued its lower Tier 2 regulations late in 2000. The net result was that the targets for this diesel engine project were lowered, and these goals were eventually modified by the publication of Federal Tier 2 emission standards early in 2000 to the following: NO{sub x} = 0.07 g/mi; and PM = 0.01 g/mi. (2) FUEL ECONOMY--The fuel economy goal was 50 percent MPG improvement (combined city/highway) over the 1997 gasoline powered light truck or sport utility vehicle in the vehicle class for which this diesel engine is being designed to replace. The goal for fuel economy remained at 50 percent MPG improvement, even with the emissions goal revisions. (3) COOPERATIVE DEVELOPMENT--Regular design reviews of the engine program will be conducted with a vehicle manufacturer to insure that the concepts and design specifics are commercially feasible. (DaimlerChrysler has provided Cummins with this design review input.) Cummins has essentially completed a demonstration of proof-of-principle for a diesel engine platform using advanced combustion and fuel system technologies. Cummins reported very early progress in this project, evidence that new diesel engine technology had been developed that demonstrated the feasibility of the above emissions goals. Emissions levels of NOx = 0.4 g/mi and PM = 0.06 g/mi were demonstrated for a 5250 lb. test weight vehicle with passive aftertreatment only. These results were achieved using the full chassis dynamometer FTP-75 test procedure that allowed compliance with the Tier 2 Interim Bin 10 Standards and would apply to vehicles in MY2004 through MY2007 timeframe. In further technology development with active aftertreatment management, Cummins has been able to report that the emissions goals for the Tier 2 Bin 5 standards were met on an engine running the full FTP-75 test procedure. The fuel economy on the chassis tests was measured at over 59 percent MPG improvement over the gasoline engines that are offered in typical SUVs and light trucks. The above demonstration used only in-cylinder fueling for management of the aftertreatment system.

John H. Stang

2005-12-31T23:59:59.000Z

396

Development of Technologies for a High Efficiency, Very Low Emission, Diesel Engine for Light Trucks and Sport Utility Vehicles  

Science Conference Proceedings (OSTI)

Cummins Inc., in partnership with the Department of Energy, has developed technology for a new highly efficient, very low emission, diesel engine for light trucks and sport utility vehicles. This work began in April 1997, and started with very aggressive goals for vehicles in the 5751 to 8500 pound GCW weight class. The primary program goals were as follows: (1) EMISSIONS NOx = 0.50 g/mi PM = 0.05 g/mi CO = 2.8 g/mi NMHC = 0.07 g/mi California decided to issue new and even tougher LEV II light truck regulations late in 1999. EPA also issued its lower Tier 2 regulations late in 2000. The net result was that the targets for this diesel engine project were lowered, and these goals were eventually modified by the publication of Federal Tier 2 emission standards early in 2000 to the following: NOx = 0.07 g/mi PM = 0.01 g/mi (2) FUEL ECONOMY The fuel economy goal was 50 percent MPG improvement (combined city/highway) over the 1997 gasoline powered light truck or sport utility vehicle in the vehicle class for which this diesel engine is being designed to replace. The goal for fuel economy remained at 50 percent MPG improvement, even with the emissions goal revisions. (3) COOPERATIVE DEVELOPMENT Regular design reviews of the engine program will be conducted with a vehicle manufacturer to insure that the concepts and design specifics are commercially feasible. (DaimlerChrysler has provided Cummins with this design review input.) Cummins has essentially completed a demonstration of proof-of-principle for a diesel engine platform using advanced combustion and fuel system technologies. Cummins reported very early progress in this project, evidence that new diesel engine technology had been developed that demonstrated the feasibility of the above emissions goals. Emissions levels of NOx = 0.4 g/mi and PM = 0.06 g/mi were demonstrated for a 5250 lb. test weight vehicle with passive aftertreatment only. These results were achieved using the full chassis dynamometer FTP-75 test procedure that allowed compliance with the Tier 2 Interim Bin 10 Standards and would apply to vehicles in MY2004 through MY2007 timeframe. In further technology development with active aftertreatment management, Cummins has been able to report that the emissions goals for the Tier 2 Bin 5 standards were met on an engine running the full FTP-75 test procedure. The fuel economy on the chassis tests was measured at over 59 percent MPG improvement over the gasoline engines that are offered in typical SUVs and light trucks. The above demonstration used only in-cylinder fueling for management of the aftertreatment system.

Stang, John H.

1997-12-01T23:59:59.000Z

397

Cold-Start Emissions Control in Hybrid Vehicles Equipped with a Passive Hydrocarbon and NOx Adsorber  

SciTech Connect

We presents a study of the potential for using low-cost sorbent materials (i.e. Ag-Beta-zeolite and Fe-Mn-Zr transition metal oxides) to temporally trap hydrocarbons (HCs) and nitrogen oxides (NOx) emissions during cold-start periods in HEVs and PHEVs over transient driving cycles. The adsorption behavior of the candidate sorbent materials was characterized in our laboratory flow reactor experiments. The parameters were then used to develop a one-dimensional, transient device model which has been implemented in the Powertrain Systems Analysis Toolkit (PSAT) to simulate a passive HC and NOx absorber device. The results show that such an absorber can substantially reduce HC and NOx emissions by storing them when the 3-way catalyst is too cool to function and re-releasing them when the exhaust temperature rises. These improved emission controls do not involve any penalty in fuel consumption or require any change in engine operation. The cost of these sorbent materials is also much less than conventional 3-way catalysts.

Gao, Zhiming [ORNL; Kim, Miyoung [ORNL; Choi, Jae-Soon [ORNL; Daw, C Stuart [ORNL; Parks, II, James E [ORNL; Smith, David E [ORNL

2012-01-01T23:59:59.000Z

398

Impact of Canada’s Voluntary Agreement on Greenhouse Gas Emissions from Light Duty Vehicles  

E-Print Network (OSTI)

Technologies for Reducing Greenhouse Gas Emissions form RoadConsiders Copying California’s Greenhouse Gas Law. ” http://Regulations to Control Greenhouse Gas Emissions from Motor

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

399

Impact of Canada's Voluntary Agreement on Greenhouse Gas Emissions from Light Duty Vehicles  

E-Print Network (OSTI)

Technologies for Reducing Greenhouse Gas Emissions form RoadConsiders Copying California’s Greenhouse Gas Law. ” http://Regulations to Control Greenhouse Gas Emissions from Motor

Lutsey, Nicholas P.

2006-01-01T23:59:59.000Z

400

Canada’s Voluntary Agreement on Vehicle Greenhouse Gas Emissions: When the Details Matter  

E-Print Network (OSTI)

of ?uorinated greenhouse gases. greenhouse gas emissions. Washington,ective e?orts to reduce greenhouse gas emissions. C.D. Howe

Lutsey, Nicholas P.; Sperling, Dan

2007-01-01T23:59:59.000Z

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

Modeling aviation's global emissions, uncertainty analysis, and applications to policy  

E-Print Network (OSTI)

(cont.) fuel burn results below 3000 ft. For emissions, the emissions indices were the most influential uncertainties for the variance in model outputs. By employing the model, this thesis examined three policy options for ...

Lee, Joosung Joseph, 1974-

2005-01-01T23:59:59.000Z

402

Information about the Greenhouse Gas Emission Calculations  

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

Sources and Assumptions for the Electric and Plug-in Hybrid Vehicle Sources and Assumptions for the Electric and Plug-in Hybrid Vehicle Greenhouse Gas Emissions Calculator To estimate your CO2 emissions rates and generate the bar graph, we used the following sources and assumptions. Your CO2 Emissions Rates Tailpipe (grams CO2/mile) This is the tailpipe CO2 emissions rate for combined city and highway driving that is shown on the fuel economy and environment label for the vehicle model you selected. It is the same regardless of where you live. Total (grams CO2/mile) This includes the vehicle's tailpipe emissions and emissions associated with the production of electricity used to charge the vehicle. For plug-in hybrid electric vehicles, it also includes emissions associated with the production of gasoline. It is estimated using the sources and assumptions below, and will vary based on where you live.

403

An error model for inter-vehicle communications in highway scenarios at 5.9GHz  

Science Conference Proceedings (OSTI)

The design and evaluation of Inter-Vehicle Communication (IVC) protocols rely much on the accurate and efficient computational simulations. For simulations of Medium Access Control (MAC) and higher layers, the modeling work of underlying Physical layer ... Keywords: DSRC, IEEE 802.11p, ITS, inter-vehicle communications, packet error ratio, wireless channel model

Yunpeng Zang; Lothar Stibor; Georgios Orfanos; Shumin Guo; Hans-Juergen Reumerman

2005-10-01T23:59:59.000Z

404

Search for Model Year 2002 Vehicles by EPA Size Class  

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

2 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Sport Utility Vehicle Standard...

405

Search for Model Year 2000 Vehicles by EPA Size Class  

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

0 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Sport Utility Vehicle Standard...

406

Search for Model Year 2009 Vehicles by EPA Size Class  

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

09 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Sport Utility Vehicle Standard...

407

Search for Model Year 2010 Vehicles by EPA Size Class  

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

10 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Special Purpose Vehicles Sport...

408

Search for Model Year 2008 Vehicles by EPA Size Class  

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

08 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Sport Utility Vehicle Standard...

409

AVCEM: Advanced-Vehicle Cost and Energy Use Model  

E-Print Network (OSTI)

of the battery, according to the battery cost equations (seediscussion of battery cost above). There actually are twoin the amount and cost of fuel-storage, battery, vehicle

Delucchi, Mark

2005-01-01T23:59:59.000Z

410

Modelling and control of underwater inspection vehicle for aquaculture sites.  

E-Print Network (OSTI)

?? Underwater vehicles such as AUVs and ROVs with hovering capabilities is a promising method for inspection of net integrity in large scale, sea based,… (more)

Hval, Mats Nåvik

2012-01-01T23:59:59.000Z

411

Search for Model Year 1998 Vehicles by EPA Size Class  

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

8 Select Class... Compact Cars Large Cars Midsize Cars Midsize-Large Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Special Purpose Vehicles...

412

Search for Model Year 1996 Vehicles by EPA Size Class  

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

6 Select Class... Compact Cars Large Cars Midsize Cars Midsize-Large Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Special Purpose Vehicles...

413

Search for Model Year 1990 Vehicles by EPA Size Class  

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

0 Select Class... Compact Cars Large Cars Midsize Cars Midsize-Large Station Wagons Minicompact Cars Small Pickup Trucks Small Station Wagons Special Purpose Vehicles Standard...

414

Search for Model Year 2003 Vehicles by EPA Size Class  

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

3 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Special Purpose Vehicle Cab C...

415

Search for Model Year 2006 Vehicles by EPA Size Class  

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

6 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Minivan - 2WD Small Station Wagons Sport Utility Vehicle Standard Pickup...

416

Search for Model Year 1997 Vehicles by EPA Size Class  

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

7 Select Class... Compact Cars Large Cars Midsize Cars Midsize-Large Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Special Purpose Vehicles Sport...

417

Search for Model Year 2007 Vehicles by EPA Size Class  

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

7 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Station Wagons Sport Utility Vehicle Standard Pickup Trucks Subcompact...

418

Search for Model Year 1994 Vehicles by EPA Size Class  

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

4 Select Class... Compact Cars Large Cars Midsize Cars Midsize-Large Station Wagons Minicompact Cars Small Pickup Trucks Small Station Wagons Special Purpose Vehicles Standard...

419

Search for Model Year 2004 Vehicles by EPA Size Class  

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

4 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Station Wagons Sport Utility Vehicle Standard Pickup Trucks Subcompact...

420

Search for Model Year 1999 Vehicles by EPA Size Class  

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

9 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Special Purpose Vehicle Sport...

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

Search for Model Year 2001 Vehicles by EPA Size Class  

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

1 Select Class... Compact Cars Large Cars Midsize Cars Midsize Station Wagons Minicompact Cars Minivan Small Pickup Trucks Small Station Wagons Special Purpose Vehicle Sport...

422

Hardware assembly and prototype testing for the development of a dedicated liquefied propane gas ultra low emission vehicle  

DOE Green Energy (OSTI)

On February 3, 1994, IMPCO Technologies, Inc. started the development of a dedicated LPG Ultra Low Emissions Vehicle (ULEV) under contract to the Midwest Research Institute National Renewable Energy Laboratory Division (NREL). The objective was to develop a dedicated propane vehicle that would meet or exceed the California ULEV emissions standards. The project is broken into four phases to be performed over a two year period. The four phases of the project include: (Phase 1) system design, (Phase 2) prototype hardware assembly and testing, (Phase 3) full-scale systems testing and integration, (Phase 4) vehicle demonstration. This report describes the approach taken for the development of the vehicle and the work performed through the completion of Phase II dynamometer test results. Work was started on Phase 2 (Hardware Assembly and Prototype Testing) in May 1994 prior to completion of Phase 1 to ensure that long lead items would be available in a timely fashion for the Phase 2 work. In addition, the construction and testing of the interim electronic control module (ECM), which was used to test components, was begun prior to the formal start of Phase 2. This was done so that the shortened revised schedule for the project (24 months) could be met. In this report, a brief summary of the activities of each combined Phase 1 and 2 tasks will be presented, as well as project management activities. A technical review of the system is also given, along with test results and analysis. During the course of Phase 2 activities, IMPCO staff also had the opportunity to conduct cold start performance tests of the injectors. The additional test data was most positive and will be briefly summarized in this report.

NONE

1995-07-01T23:59:59.000Z

423

Electric Vehicles: Performance, Life-Cycle Costs, Emissions, and Recharging Requirements  

E-Print Network (OSTI)

P. Davis I. (1988) R. ETX-II propulsion system industry..,sulfur batteryfor the ETX-II propuLsion system. Proca. ,9thsulphur battery, in the ETX-II test vehicle. The ETX-II test

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

1989-01-01T23:59:59.000Z

424

A Multi-Country Analysis of Lifecycle Emissions From Transportation Fuels and Motor Vehicles  

E-Print Network (OSTI)

by producing region. Imports of natural gas by producinghave to import between 9% and 43% of its gas demand. Data ongas losses end use consumption). Motor-vehicle flows Imports

Delucchi, Mark

2005-01-01T23:59:59.000Z

425

A MULTI-COUNTRY ANALYSIS OF LIFECYCLE EMISSIONS FROM TRANSPORTATION FUELS AND MOTOR VEHICLES  

E-Print Network (OSTI)

by producing region. Imports of natural gas by producinghave to import between 9% and 43% of its gas demand. Data ongas losses end use consumption). Motor-vehicle flows Imports

Delucchi, Mark

2005-01-01T23:59:59.000Z

426

The California Zero-Emission Vehicle Mandate: A Study of the Policy Process, 1990-2004  

E-Print Network (OSTI)

Staff’s estimates of battery costs were strongly questionedmeeting electric-vehicle battery cost targets. A summary ofhas always been battery technology and costs. By the time of

Collantes, Gustavo O

2006-01-01T23:59:59.000Z

427

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

E-Print Network (OSTI)

PZEVs) such as compressed natural gas, gas-electric hybrid,e.g. , electric, compressed natural gas, and hybridTechnology- PZEV (e.g. , compressed natural gas vehicles and

Shaheen, Susan; Sperling, Dan; Wright, John

2004-01-01T23:59:59.000Z

428

Zero-Emission Vehicle Scenario Cost Analysis Using A Fuzzy Set-Based Framework  

E-Print Network (OSTI)

hydrogen fuel could then be compressed into a liquid and delivered to filling stationshydrogen per day, which would be enough to refuel about 500 vehicles each day. Each filling station

Lipman, Timothy Edward

1999-01-01T23:59:59.000Z

429

Modeled and observed ozone sensitivity to mobile-source emissions in Mexico City  

E-Print Network (OSTI)

The emission characteristics of mobile sources in the Mexico City Metropolitan Area (MCMA) have changed significantly over the past few decades in response to emission control policies, advancements in vehicle technologies ...

Zavala, M.

430

Fossil Fuel Emission Verification Modeling at LLNL  

SciTech Connect

We have an established project at LLNL to develop the tools needed to constrain fossil fuel carbon dioxide emissions using measurements of the carbon-14 isotope in atmospheric samples. In Figure 1 we show the fossil fuel plumes from Los Angeles and San Francisco for two different weather patterns. Obviously, a measurement made at any given location is going to depend on the weather leading up to the measurement. Thus, in order to determine the GHG emissions from some region using in situ measurements of those GHGs, we use state-of-the-art global and regional atmospheric chemistry-transport codes to simulate the plumes: the LLNL-IMPACT model (Rotman et al., 2004) and the WRFCHEM community code (http://www.wrf-model.org/index.php). Both codes can use observed (aka assimilated) meteorology in order to recreate the actual transport that occurred. The measured concentration of each tracer at a particular spatio-temporal location is a linear combination of the plumes from each region at that location (for non-reactive species). The challenge is to calculate the emission strengths for each region that fit the observed concentrations. In general this is difficult because there are errors in the measurements and modeling of the plumes. We solve this inversion problem using the strategy illustrated in Figure 2. The Bayesian Inference step combines the a priori estimates of the emissions, and their uncertainty, for each region with the results of the observations, and their uncertainty, and an ensemble of model predicted plumes for each region, and their uncertainty. The result is the mathematical best estimate of the emissions and their errors. In the case of non-linearities, or if we are using a statistical sampling technique such as a Markov Chain Monte Carlo technique, then the process is iterated until it converges (ie reaches stationarity). For the Bayesian inference we can use both a direct inversion capability, which is fast but requires assumptions of linearity and Gaussianity of errors, or one of several statistical sampling techniques, which are computationally slower but do not require either linearity or Gaussianity (Chow, et al., 2008; Delle Monache, et al., 2008). The emission regions we are using are based on the air-basins defined by the California Air Resources Board (CARB), see Figure 3. The only difference is that we have joined some of the smaller air basins together. The results of a test using 4 days of simulated observations using our ensemble retrieval system are shown in Figure 3 (right). The main source of the variation between the different model configurations arises from the uncertainty in the atmospheric boundary layer parameterization in the WRF model. We are currently developing a capability to constrain the boundary layer height in our carbon-14 work either by weighting the ensemble member results by the accuracy of their boundary layer height (using commercial aircraft observations), or as part of the retrieval process using an ensemble Kalman filter (EnKF) capability.

Cameron-Smith, P; Kosovic, B; Guilderson, T; Monache, L D; Bergmann, D

2009-08-06T23:59:59.000Z

431

Total Cost of Ownership Model for Current Plug-in Electric Vehicles  

Science Conference Proceedings (OSTI)

The plug-in electric vehicle (PEV) market has grown dramatically in the past three years, but the central question concerning PEV acceptance in the marketplace still remains: When compared to a hybrid or conventional vehicle, is a PEV worth the additional up-front cost to consumers? Given the incomplete understanding of changes in driving patterns due to vehicle purchases, the baseline analysis described in this report does not model customer adaptation, nor does it attempt to address non-tangible ...

2013-06-10T23:59:59.000Z

432

Hybrid Electric Vehicle with Permanent Magnet Traction Motor: A Simulation Model  

E-Print Network (OSTI)

A simulation model for a hybrid electric vehicle is developed. Permanent magnet synchronous motor is considered for the drive part of the hybrid electric vehicle which comprises three energy sources: (i) a fuel cell, (ii) a battery bank, and (iii) a super capacitor. Rotor-oriented speed controller is designed, and also verified by simulation results, to achieve trajectory tracking requirements of the hybrid electric vehicle within the inverter voltage and current limits.

Levent U. Gökdere; Khalid Benlyazid; Enrico; Enrico Santi; Charles W. Brice; Roger A. Dougal

1999-01-01T23:59:59.000Z

433

Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas  

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

Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas Emissions Identify Vehicle Usage Mission Constraints for Reducing Greenhouse Gas Emissions October 7, 2013 - 11:46am Addthis YOU ARE HERE: Step 2 As Federal agencies work to identify opportunities for right-sizing the fleet and replacing inefficient vehicles with new, efficient, and/or alternatively fueled models to reduce greenhouse gas (GHG) emissions, they should flag potential mission constraints associated with vehicle usage. This may involve further data collection to understand the mission considerations associated with individual vehicles. For instance, in Figure 1, Vehicle 004 appears to be underutilized, having both a low user-to-vehicle ratio and a relatively low time in use per day. However,

434

Light-Duty Vehicle Exhaust Emission Control Cost Estimates Using a Part-Pricing Approach  

E-Print Network (OSTI)

9. D. Jones, "Development Cost Estimates for Fuel Economy ofExhaust Emission Control Cost Estimates Using a Part-PricingExhaust Emission Control Cost Estimates Using a Part-Pricing

Wang, Quanlu; Kling, Catherine; Sperling, Daniel

1993-01-01T23:59:59.000Z

435

Orienteering problem modeling for electric vehicle-based tour  

Science Conference Proceedings (OSTI)

This paper presents the design and analyzes the performance of a tour planner for electric vehicles, aiming at overcoming their long charging time by computational intelligence. This service basically finds the maximal subset out of the whole user-selected ... Keywords: electric vehicle, genetic algorithm, orienteering problem, tour planning, visitable places

Junghoon Lee; Gyung-Leen Park

2013-03-01T23:59:59.000Z

436

Modeling CO2 Emissions Impact of Energy Efficiency  

Science Conference Proceedings (OSTI)

This report details EPRI's continued efforts to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though intuitively recognized to reduce emissions, energy efficiency is not universally accepted as an eligible category for emissions credit in most trading or offset markets today. Chief among barriers to eligibility is the lack of precision in emissions reduction estimates based on average emissions factors. This study refines and expands marginal CO2 intensities of energy eff...

2010-12-28T23:59:59.000Z

437

Modeling CO2 Emissions Impact of Energy Efficiency  

Science Conference Proceedings (OSTI)

This report details EPRI's continued efforts to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though intuitively recognized to reduce emissions, energy efficiency is not universally accepted as an eligible category for emissions credit in most trading or offset markets today. Chief among the barriers to eligibility is the lack of precision in emissions reduction estimates based on average emissions factors. This study refines and expands the marginal CO2 intensities of en...

2009-12-22T23:59:59.000Z

438

Modeling CO2 Emissions Impact of Energy Efficiency  

Science Conference Proceedings (OSTI)

This report describes an effort to model the marginal carbon dioxide (CO2) emissions impact of energy efficiency. Though intuitively recognized to reduce emissions, energy efficiency is not universally accepted as an eligible category for emissions credit in most trading or offset markets today. Chief among the barriers to eligibility is the lack of precision in emissions reduction estimates based on average emissions factors. This study establishes a proof-of-concept for quantifying marginal CO2 intensi...

2008-12-23T23:59:59.000Z

439

Drive cycle analysis of the performance of hybrid electric vehicles  

Science Conference Proceedings (OSTI)

This paper presents a drive cycle analysis of hybrid electric vehicle power train configurations. Based on fuel economy and emissions factors, a tradeoff between conventional, series hybrid, parallel hybrid, and a parallel-series hybrid is drawn. The ... Keywords: emissions, fuel consumption, hybrid electric vehicles, modeling and simulation

Behnam Ganji; Abbas Z. Kouzani; H. M. Trinh

2010-09-01T23:59:59.000Z

440

Energy 101: Electric Vehicles | Department of Energy  

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

Electric Vehicles Electric Vehicles Energy 101: Electric Vehicles January 9, 2012 - 4:22pm Addthis A look at how electric vehicles (EVs) work and what current and future models are doing to cut transit costs, reduce emissions, and strengthen our nation's energy security. John Schueler John Schueler Former New Media Specialist, Office of Public Affairs While the North American International Auto Show is slated to kick off today in Detroit, and the industry is already abuzz with the latest innovations in electric vehicles, we wanted to take a moment to highlight how electric vehicles (EVs) work and what current and future models are doing to cut transit costs, reduce emissions, and strengthen our nation's energy security. The basic principles behind the technology are this: the electric

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

Energy 101: Electric Vehicles | Department of Energy  

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

Energy 101: Electric Vehicles Energy 101: Electric Vehicles Energy 101: Electric Vehicles January 9, 2012 - 4:22pm Addthis A look at how electric vehicles (EVs) work and what current and future models are doing to cut transit costs, reduce emissions, and strengthen our nation's energy security. John Schueler John Schueler Former New Media Specialist, Office of Public Affairs While the North American International Auto Show is slated to kick off today in Detroit, and the industry is already abuzz with the latest innovations in electric vehicles, we wanted to take a moment to highlight how electric vehicles (EVs) work and what current and future models are doing to cut transit costs, reduce emissions, and strengthen our nation's energy security. The basic principles behind the technology are this: the electric

442

2001 Joint ADVISOR/PSAT Vehicle Systems Modeling User's Conference Proceedings (CD)  

DOE Green Energy (OSTI)

The 2001 Joint ADVISOR/PSAT Vehicle Systems Modeling User Conference provided an opportunity for engineers in the automotive industry and the research environment to share their experiences in vehicle systems modeling using ADVISOR and PSAT. ADVISOR and PSAT are vehicle systems modeling tools developed and supported by the National Renewable Energy Laboratory and Argonne National Laboratory respectively with the financial support of the US Department of Energy. During this conference peers presented the results of studies using the simulation tools and improvements that they have made or would like to see in the simulation tools. Focus areas of the presentations included Control Strategy, Model Validation, Optimization and Co-Simulation, Model Development, Applications, and Fuel Cell Vehicle Systems Analysis. Attendees were offered the opportunity to give feedback on future model development plans.

Markel, T.

2001-08-01T23:59:59.000Z

443

Demonstration of oxygen-enriched combustion system on a light-duty vehicle to reduce cold-start emissions  

DOE Green Energy (OSTI)

The oxygen content in the ambient air drawn by combustion engines can be increased by polymer membranes. The authors have previously demonstrated that 23 to 25% (concentration by volume) oxygen-enriched intake air can reduce hydrocarbons (HC), carbon monoxide (CO), air toxics, and ozone-forming potential (OFP) from flexible-fueled vehicles (FFVs) that use gasoline or M85. When oxygen-enriched air was used only during the initial start-up and warm-up periods, the emission levels of all three regulated pollutants [CO, nonmethane hydrocarbons (NMHC), and NO{sub x}] were lower than the U.S. EPA Tier II (year 2004) standards (without adjusting for catalyst deterioration factors). In the present work, an air separation membrane module was installed on the intake of a 2.5-L FFV and tested at idle and free acceleration to demonstrate the oxygen-enrichment concept for initial start-up and warm-up periods. A bench-scale, test set-up was developed to evaluate the air separation membrane characteristics for engine applications. On the basis of prototype bench tests and from vehicle tests, the additional power requirements and module size for operation of the membrane during the initial period of the cold-phase, FTP-75 cycle were evaluated. A prototype membrane module (27 in. long, 3 in. in diameter) supplying about 23% oxygen-enriched air in the engine intake only during the initial start-up and warm-up periods of a 2.5-L FFV requires additional power (blower) of less than one horsepower. With advances in air separation membranes to develop compact modules, oxygen enrichment of combustion air has the potential of becoming a more practical technique for controlling exhaust emissions from light-duty vehicles.

Sekar, R.; Poola, R.B.

1997-08-01T23:59:59.000Z

444

Modelling, Simulation, Testing, and Optimization of Advanced Hybrid Vehicle Powertrains  

E-Print Network (OSTI)

FCV: fuel cell vehicle FEA: finite element analysis GA: Genetic Algorithms GCM: Global Circulation of a power-split architecture with two modes (or configurations) introduced by General Motors Corporation.2 General Motors Designs

Victoria, University of

445

Modeling and control of a biorobotic autonomous underwater vehicle  

E-Print Network (OSTI)

Current research into Autonomous Underwater Vehicles (AUVs) has included work on biologically inspired propulsion mechanisms, for instance flapping foils. The first aim of this thesis is to develop an accurate non-linear ...

Booth, William Duncan Lewis

2006-01-01T23:59:59.000Z

446

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

447

Assessment of the Greenhouse Gas Emission Reduction Potential of Ultra-Clean Hybrid-Electric Vehicles  

E-Print Network (OSTI)

RFG Running Hot Soak Diurnal CNG :Diesel Fuels Emissions RFGwith compressednatural gas (CNG),the hydrocarbontaitpipemethanol, natural gas (CNG),and hydrogen. As noted above,

Burke, A.F.; Miller, M.

1997-01-01T23:59:59.000Z

448

Assessment of the Greenhouse Gas Emission Reduction Potential of Ultra-Clean Hybrid-Electric Vehicles  

E-Print Network (OSTI)

fuel distribution, powerplantand refinery emissions -- areemissions fromoil refineries and electrical powerplants. Inproduction of the fuel at the refinery, the distribution of

Burke, A.F.; Miller, M.

1997-01-01T23:59:59.000Z

449

A Multi-Country Analysis of Lifecycle Emissions From Transportation Fuels and Motor Vehicles  

E-Print Network (OSTI)

like fuel via the Fischer-Tropsch process, or emissions fromvehicles. FTD = Fischer-Tropsch diesel, CNG = compressedvolume % in LPG) FTD = Fischer-Tropsch dieses (volume % in

Delucchi, Mark

2005-01-01T23:59:59.000Z

450

A MULTI-COUNTRY ANALYSIS OF LIFECYCLE EMISSIONS FROM TRANSPORTATION FUELS AND MOTOR VEHICLES  

E-Print Network (OSTI)

like fuel via the Fischer-Tropsch process, or emissions fromvehicles. FTD = Fischer-Tropsch diesel, CNG = compressedvolume % in LPG) FTD = Fischer-Tropsch dieses (volume % in

Delucchi, Mark

2005-01-01T23:59:59.000Z

451

A Multi-Country Analysis of Lifecycle Emissions From Transportation Fuels and Motor Vehicles  

E-Print Network (OSTI)

and from unconventional reserves; energy intensity of oilunconventional production; venting and flaring of associated gas; CO 2 and SO 2 emissions from oil

Delucchi, Mark

2005-01-01T23:59:59.000Z

452

A MULTI-COUNTRY ANALYSIS OF LIFECYCLE EMISSIONS FROM TRANSPORTATION FUELS AND MOTOR VEHICLES  

E-Print Network (OSTI)

and from unconventional reserves; energy intensity of oilunconventional production; venting and flaring of associated gas; CO 2 and SO 2 emissions from oil

Delucchi, Mark

2005-01-01T23:59:59.000Z

453

Status of Heavy Vehicle Diesel Emission Control Sulfur Effects (DECSE) Test Program  

DOE Green Energy (OSTI)

DECSE test program is well under way to providing data on effects of sulfur levels in diesel fuel on performance of emission control technologies.

George Sverdrup

1999-06-07T23:59:59.000Z